How? You can start building a new habit or can change the existing one with self-disciplined and regular efforts. But, before that, you should know How habit works? It is essential to understand How your current habits works and they get a deep inside to build a new habit and change the existing one. Creating new habits is an essential for self-discipline, productivity, good health, your happiness, and in general, for your life and family.
From the book – The Power of Habit: Why We Do What We Do in Life and Business each habit has three components, or it's a three steps process.
A trigger point to start the behavior – Called as Cue. Then the routine, which is the behavior itself. Finally, the rewards which make this method worth remembering for future and causes instinct the process again.
Over the time, the habit Loop, "Cue – Routine – Reward, Cue – Routine – Reward, Cue – Routine – Reward. "becomes more and more automatic. The is applicable for almost everything we do as per habit.
Consider a habit of checking phone on every single time when it vibrates. Yes! Most of the time we do it as part of our practice. As soon as your phone vibrates, a cue triggers and automatic routine of swipe through phone, check all notification and as a reward a feeling of accomplishment by responding someone, or reading some jokes or replying someone. But, is it worth of doing now? – that's where your habit is coming into the picture, and before even you think, the automatic mode turns on as soon as there is vibrates or notification.
To build a new habit, you must understand the habit loop first and then identify the elements Cue, Routine, and Reward for the behavior. First, decide to act on the task, take a slow step and then make it in a reparative action.
Over the period, I developed a habit of daily morning jogging. Decide to arise early morning – set the alarm clock to a particular time, get up immediately from the bed, put up my jogging dress and go out. Yes! I am doing it regularly. To understand your new habits, you need to identify the components of your loops, and I identified that get up early, go for jogging and sense of achievement and self-disciplined.
It's is not easy to make it in habit or not a difficult as well. Step by step actions, self-disciplined and following the procedure would make this happen. Eventually, now, I don't need any alarm clock to wake up in the morning – It's automatic for me. An almost similar time I woke up daily – be it weekday or weekend, and continue with the routine. As the reward, I found myself a tremendously energetic, full day, a sense of achievement, active mind and moreover, self-disciplined.
From my personal experience here are some tips for creating new having and stick with it.
Set target for weekly, monthly and review it – Reward yourself if you achieve your targets.
Make yourself accountable if fails.
How can we get rid of bad habits? You can't throw your bad habits. But you can change it by replacing with a new routine. Changing a habit is simple: keep the same cue and reward, but change the routine. Then, make the new routine as part of new habit loop.
From the Power of Habit – Changing a habit might not be fast, and it isn't always easy as building a new one.
But with time, effort, self-disciplined almost any habit can be changed.
Habits are very powerful. Habits could be good or bad, and you can build your new habit or even reshaped your existing habits. Not only in the individual level, In the book, Charles Duhigg, also detailed about habits of organizations, and societies, more over the research behind them. In the book, author Charles Duhigg, summarize the framework to build or reshaped your habits.
This is an excellent book, and I would highly recommend reading for yourself.
Read this book, and there are several other great articles on building habits, do refer them as well. I developed several habits over years – be it daily goal settings, maintain todo list, prioritize work, spending less time over social networks, always clean up my home office desk, etc. but I was not aware of about the science behind it, for me it was more like practice and self-discipline.


Our Independent Fundraising Event Study looked at the emerging peer-to-peer fundraising trend of IFE's and how nonprofits are structuring them. Now, we can look even closer with our Independent Fundraising Event Deep Dive: Trend Analysis from Five Nonprofit Verticals. This study breaks down the IFE Study by the five verticals from which we received the most response.
This study will bring you more meaningful data that can help you understand IFE program trends as they relate to your specific organization. We broke down the data into three categories.
These categories will help your organization compare to similar programs or to see where your vertical stands in regards to the implementation of such programs. The Status section of the IFE Deep Dive will break down which verticals have more live programs and which are planning to add an IFE in the near future. For instance, the Heath vertical leads with the largest number of live IFE programs. The Structure & Strategy section will provide insights as to which type of IFE program is being utilized by the respective verticals, and includes data regarding the goals of these programs. For example, of the five analyzed verticals, only Health organizations are using the hub model. We also included a Revenue Expectations section to help you visualize potential revenue growth resulting from an IFE. Most Human & Social Services organizations reported an expected revenue growth of between 4-20%.
We also have several other blogs about IFE programs! Like, this intro blog; these recommendations for successful IFE programs, or this "All About IFE/DIY" from our CEO, Donna Wilkins.


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Study evaluates biomarker criteria for Alzheimer's risk
Scans show a normal brain (left) and a brain with enlarged ventricles (arrow) suggesting neurodegeneration, a biomarker for Alzheimer's disease. Images: Dr. Caitlin Latimer, UW Department of Laboratory Medicine and Pathology
One-third of people classified as 'highest risk' may not develop Alzheimer's disease, study suggests
A new study co-authored by researchers at Kaiser Permanente Washington Health Research Institute suggests one-third of people classified as having the highest risk for dementia by a biomarker research tool — the AT(N) framework — will not develop dementia in their lifetime.
"[This research] highlights the importance of studying not just what we are today calling 'Alzheimer's disease' but also the factors that seem to make people resilient or able to resist cognitive decline and dementia, which are so often seen as inevitable features of aging," said Eric Larson, MD, MPH, senior investigator and former vice president for research and health care innovation at KPWHRI, who was a senior author on the study.
Biomarkers: some background
One of the biggest challenges in dementia research is to identify people who are at risk of developing Alzheimer's disease. Biomarkers could be used to screen people so they might be helped before they develop the disease.
Researchers have focused primarily on 3 such biomarkers. Two are Alzheimer's-related proteins called amyloid and tau, which can be detected in cerebral spinal fluid or by specialized positron emission tomography (PET) scans. The third marker, brain atrophy, can be seen with computerized tomography and MRI scans.
The AT(N) framework is a research tool based on these biomarkers — A for amyloid, T for tau, and (N) for neurodegeneration or atrophy. The National Institute on Aging and the Alzheimer's Association (NIA-AA) have endorsed this tool in their efforts to develop a framework to assess an asymptomatic person's risk of developing dementia.
In the new study — published in Alzheimer's & Dementia: The Journal of the Alzheimer's Association — researchers evaluated this framework by analyzing data from the autopsies of people who participated in the long-running Adult Changes in Thought (ACT) study. Bridget Teevan Burke, a research fellow at KPWHRI, was the lead author of the new study. Joining Dr. Larson as a senior author was Paul Crane, MD, MPH, professor of medicine at the University of Washington School of Medicine, Division of General Internal Medicine, and an affiliate researcher with KPWHRI. Drs. Larson and Crane are also the principal investigators of the ACT study.
Analyzing ACT autopsy data
The ACT study, which started in the 1990s, has followed more than 5,500 older volunteers to identify new cases of dementia. About a third of the volunteers allowed their brains to be studied after death.
Since Alzheimer's often progresses slowly, the ACT participant autopsy results for amyloid, tau, and neurodegeneration were used to approximate AT(N) classification 5 years before death. The researchers considered evaluations of the participants before their death to see whether the proxy AT(N) categorization would predict dementia development in those 5 years.
The AT(N) framework uses 8 different biomarker profiles, ranging from none of the biomarkers present, designated A-T-(N)-, to profiles where all biomarkers are present, designated A+T+(N)+, as well as all the possible combinations, such as A+T+(N)-, indicating amyloid and tau are present but no neurodegeneration.
The researchers found that 67% of those with the proxy A+T+(N)+ profile developed dementia in the next 5 years. But 33% did not.
"A+T+(N)+ is supposed to be the highest-risk group," said Dr. Crane. "They have high levels of amyloid, high levels of tau, and have atrophy. Even in that group, a third never developed dementia."
The findings, if validated with AT(N) biomarkers, suggest that any drug trial using the AT(N) framework will require many more participants to be screened to enroll enough people to achieve statistically solid results, Dr. Crane said. Because PET scans used to detect amyloid and tau cost thousands of dollars, such studies would be even more expensive.
Dr. Caitlin Latimer, a neuropathologist at the UW and a co-author on the paper, noted that "although this study was limited to assessments of amyloid, tau, and neurodegeneration at autopsy, it serves as a reminder that these components are just one part of the complicated puzzle that is age-related cognitive decline. The AT(N) framework is valuable because it places living people on the spectrum of AD neuropathologic change, which will allow us to better study the concept of resilience to this pathology and encourage the development of additional biomarkers necessary for the accurate prediction of who will go on to develop dementia."
Dr. Larson concluded, "This paper is important and was possible because of the longtime commitments of ACT subjects and their families, an enduring partnership between Kaiser Permanente Washington (formerly Group Health) and the University of Washington, and decades of funding from the National Institute on Aging."
The study was funded by the National Institutes of Health, National Institute on Aging (U01AG006781, P50AG005136, 1K08AG065426-01), and the Nancy and Buster Alvord Endowment.
This story was adapted from a news release written by Michael McCarthy for the University of Washington School of Medicine.
aging and geriatrics
The ACT Study: Looking toward the future
At 25 years, the Adult Changes in Thought Study is committed to science, collaboration, and jokes, writes Erin Bowles
ACT study: Long-running study of aging examines changes in Kaiser Permanente patients over time
Drs. Larson and Crane co-lead Kaiser Permanente-University of Washington collaboration learning how to promote healthy aging

redpajama_set_name: RedPajamaCommonCrawl


We know why Kourtney Kardashian loves dressing her son, Reign, in the luxury swim shorts from Sttarwish, and so do Matthew McConaughey and Mario Lopez. Now Celebrity Baby Trends fans can find out for themselves with this $100 shopping spree to their website. The winner will choose from four different length swim shorts for men and boys, and infant (boy and girl) swimwear. Looking for father and son swimwear? They've got the best of the best!
All fashions are made from the highest quality fabrics in the hippest and most comfortable styles. Guys love that they can swim in these shorts and then, because of their quick dry superior design, throw on a polo shirt and be dressed in casual wear. Going from the beach to a brasserie was never easier!
The founder and creative director, Tariq Darwish, has worked with LVMH, Richmond, LGI Groups, Dolce & Gabbana, Jimmy Choo, and Salvatore Ferragamo for over a decade. His experience combined with his natural talent results in innovative, tailored fashion we love. All elements are sourced in Europe.
I really like the Sky Black Long-Length Swim Short for men. I think my man would look super good in them!
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Love the Aqua blue checkered swim shorts!!
Patriot Blue Checkered Classic-Length Swim Short.
I love the Aurora swimsuits and the Siblings collection is cute too!
I like their ALAIN Patriot Blue Checkered Classic-Length Swim Short!
The ULA Coral Green Checkered Swim Short for babies are adorable!
I love the ULA camel shorts in steel grey!! So super cute!!
The ULA Aqua Pop Art style is my favorite!
The Aurora checker swimsuit for little ones is adorable!
I like the ULA Pop Art – Aqua Blue Swim Short and the ULA Scorpion Sands Sky Delight Blue Swim Short styles the most.
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I love the Aurora Red 81.
I can't decide what's my favorite!
The Pop Art Aqua Blue Swim short is what I found I would like the best for my kid because I know that's what he would pick.
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The aqua blue checkered swim shorts are too cute!
The ULA Coral Green Checkered Swim Short is my favorite!
I really like the Aqua Blue-Checkered Swim Shorts!!!!
I like the Moselle Violet Long-Length Swim Short.
I like the mens Ocean Blue Classic-Length Swim Short.
Ocean Blue Swim Short looks nice.
I reallly like the Pop Art Aqua Blue Swim short.
My favorite is the Sky Black Long-Length Swim Short.
I like the Sttarwish Monogram – Vintage Red Checkered Swim Short.
I like the boys Sttarwish Monogram Vintage Red Checkered Swim Short best.
The girls' Aurora swimsuits are so cute!
Electric Blue – Pop Art Classic-Length Swim Short and the Pop Art – Aqua Blue Swim Short.
I like the style: OCEANIA Ocean Blue Mid-Length Swim Short With Side Fasteners.
I Like The Aurora swimsuit for babies, checkered pattern. Thanks!
Ocean Blue Checkered Classic Length Swim Short.
My boys would like these ones – Tiberius-Patriot-Blue-Check!
I am loving all of the Pop Art swim shorts!
The Aurora checker swimsuit for little ones is definitely my favorite so far!!!!
It is a hard choice. But I like AURORA Aurora SKU:aurora-navy-82-c. Pretty awesome items!
I love the Amaya girl's bathing suit!
I like the pop art aqua swim shorts.
I like the Nami style Short in the Aqua Blue Checkered color the most of all of the fine designs on the great Sttarwish, website.
I am crazy about the Aurora-checker-navy girl's swim suit! The buttons are adorable!
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Frankenstein (Mass Market)
By Mary Shelley, Harold Bloom (Afterword by), Douglas Clegg (Introduction by)
More than 200 years after it was first published, Mary Shelley's Frankenstein has stood the test of time as a gothic masterpiece—a classic work of horror that blurs the line between man and monster.
"If I cannot inspire love, I will cause fear."
For centuries, the story of Victor Frankenstein and the monster he created has held readers spellbound. On the surface, it is a novel of tense and steadily mounting dread. On a more profound level, it illuminates the triumph and tragedy of the human condition in its portrayal of a scientist who oversteps the bounds of conscience, and of a creature tortured by the solitude of a world in which he does not belong. A novel of almost hallucinatory intensity, Mary Shelley's Frankenstein represents one of the most striking flowerings of the Romantic imagination.
With an Introduction by Douglas Clegg
And an Afterword by Harold Bloom
Born in London, Mary Wollstonecraft Shelley (1797-51) was the daughter of William Godwin, a noted social theorist, and Mary Wollstonecraft, one of the leading literary women of the day. Her mother died soon after her birth, and Mary was raised first under the care of servants, then by a stepmother, and finally in the rarefied intellectual atmosphere of her father's circle. In May 1814, she met Percy Bysshe Shelley and, in July of the year, moved with him to the Continent. Two years later, after the death of Shelley's wife, the poet and Mary were able to wed. It was in Switzerland in 1816, as a result of a story-writing competition among the Shelleys and Lord Byron, that Mary began Frankenstein, her first and most famous novel. Published in 1818, it was followed by such works as Valperga (1823), The Last Man (1826), and Falkner (1837). In 1822, after the death of her husband, she devoted herself to the upbringing of her son and the securing of his right to the Shelley family title.
Douglas Clegg is the award-winning author of more than twenty-five books, including Neverland, Isis, and The Vampyricon trilogy. His fiction encompasses gothic, suspense, fantasy, and horror themes. An e-book pioneer, he created the internet's first e-serial novel, Naomi, which was released in 1999.
Harold Bloom, the country's preeminent literary critic, is Sterling Professor of the Humanities and English at Yale University. He is the recipient of numerous honors and awards, including the Gold Medal of the American Academy of Arts and Letters. Among his most important books are The Anatomy of Influence: Literature as a Way of Life and How to Read and Why.
Publication Date: October 1st, 2013
Fiction / Horror
Kobo eBook (April 30th, 2004): $7.99
Kobo eBook (January 1st, 2018): $1.99
Kobo eBook (March 31st, 2015): $6.99
Kobo eBook (May 5th, 2014): $0.99
Paperback (February 28th, 2018): $7.99
Paperback (October 29th, 2017): $7.98
Paperback (June 12th, 2020): $18.99
Paperback (September 22nd, 2017): $12.99
Paperback (November 2nd, 2017): $13.99


In this short post, we are going to see the visual representation or 'visual proof' of this property where it is represented as area. However, one limitation of this representation is it does not represent negative values for , or . This means that this is only good for positive numbers.
In the diagram below, two rectangles (red and blue) are placed adjacently. The have the same height . The red rectangle has width while the blue rectangle has width .
As you can see, this is the distributive property of multiplication over addition.


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Player Standouts at Session I of Phenom's Carmel Christian MLK Showcase
by Jeff Bendel | Jan 19, 2019 | Carmel Christian MLK Showcase, Event Coverage, Featured, News, Player Reports | 0 comments
Chapmanville (WV):
6'9 '20 Obinna Anochili-Killen
There's a lot to like with this Chapmanville team, especially when Anochili-Killen is on the court. He's long, athletic, and moves like a guard, which makes him a very intriguing two-way prospect. Anochili-Killen can do a solid amount of things on offense, as he can shoot, operate within two to three dribbles, and possesses excellent touch around the basket. His timing on rebounds and blocks is phenomenal, which allowed him to really control the paint on either end of the floor.
6'8 '19 Devin Collins
The forward prospect probably possesses a stronger crossroads of productivity and long-term potential than any unsigned prospect from the first contest. He causes an abundance of problems for opponents with his ability to stretch the floor and apply pressure as a spot-up shooter. Collins moves really well without the ball and understands how to find open seams within the teeth of the defense. He's a clearly worthy of Division I consideration and should ultimately end up being a quality contributor at the next level.
Liberty Heights:
6'6 '20 Kahari Rogers
In the first game of the day, no player was able to score the ball more effectively or effortlessly than Rogers. He shot absolutely lights-out and was able to get going from all three levels today. Rogers is long, wiry, and quite athletic, which allows him to do a lot of positive things for this Liberty Heights squad. If his jumper is falling, this team is extremely difficult to beat. Rogers has a lot of tools and possesses great positional size, which should make him a quality target for a variety of Division I programs.
Davidson Day:
6'4 '21 Bryce Alfino
There's a lot to like with the wing prospect, given his size, skill, and ability to make constant contributions on either end of the floor. He's strong and frequently barrels his way to the rim, but also displays solid creation instincts and a sharp overall understanding of the game. Alfino can already defend three positions comfortably at the high school level, yet has only begun to truly scratch the surface of his long-term upside. He'll be one to watch progress, especially given how well he's already performing.
6'5 '20 Jackson Threadgill
It's easy to see why Threadgill already holds multiple Division I offers, as he possesses a lot of attractive tools and understands how to apply them within the game. He's continued to develop on both sides of the ball, but looks likely to keep adding strength and could become overwhelming at the next level. Threadgill knows how to lead by example and simply go about his business without needing to draw a ton of attention. Like Alfino, he'll be one to monitor over the next calendar year.
Lincoln Charter:
6'1 '22 Anthony Breland
The freshman point guard continues to work out the kinks and gain playing experience for Lincoln Charter, but his upside is already glaringly obvious. Breland is naturally smooth and possesses a strong feel for the game, so it'll be exciting to see how he progresses. He offers a great balance between scoring and playmaking, but should be able to continue adding polish over the next few years and make that next leap in his development.


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Ekonomika APK
"The Economy of Agro-Industrial Complex"
International Scientific and Production Journal
Ethical norms
Search for articles by keyword
The Editorial Board of the International scientific and production journal «Ekonomika APK»
Valentinov Vladislav Leonidovych, doctor of economic sciences, professor, research fellow, Leibniz Institute of Agricultural Development in Transition Economies, Germany
Gryshova Inna Yuriivna, doctor of economic sciences, professor, Jiangsu Normal University, China
Hutorov Andrii Oleksandrovych, doctor of economic sciences, senior research fellow, leading research fellow, National Scientific Centre "Institute of Agrarian Economics"
Zhuk Valerii Mykolaiovych, doctor of economic sciences, professor, academician of NAAS, chief research fellow, National Scientific Centre "Institute of Agrarian Economics"
Zaburanna Lesia Valentynivna, doctor of economic sciences, professor, professor of the department, National University of Life and Environmental Sciences of Ukraine
Zakharchuk Oleksandr Vasylovych, doctor of economic sciences, senior research fellow, head of the department, National Scientific Centre "Institute of Agrarian Economics"
Zinovchuk Vitalii Volodymyrovych, doctor of economic sciences, professor, head of the department, Zhytomyr National Agroecological University
Kropyvko Mykhailo Fedorovych, doctor of economic sciences, professor, academician of NAAS, chief research fellow, National Scientific Centre "Institute of Agrarian Economics"
Lupenko Yurii Oleksiiovych, editor-in-chief, doctor of economic sciences, professor, academician of NAAS, director, National Scientific Centre "Institute of Agrarian Economics"
Malik Mykola Yosypovych, doctor of economic sciences, professor, academician of NAAS, chief research fellow, National Scientific Centre "Institute of Agrarian Economics"
Melnikiene Rasa, doctor of social sciences, director, Lithuanian Institute of Agrarian Economics
Melnyk Leonid Hryhorovych, doctor of economic sciences, professor, head of the department, Sumy State University
Mesel-Veseliak Viktor Yakovych, doctor of economic sciences, professor, academician of NAAS, head of the department, National Scientific Centre "Institute of Agrarian Economics"
Mykhailova Liubov Ivanivna, doctor of economic sciences, professor, head of the department, Sumy National Agrarian University
Nagy János, doctor of agricultural sciences sciences, professor, president, Centre for Agricultural and Applied Economic Sciences of University of Debrecen, Hungary
Pugachov Mykola Ivanovich, doctor of economic sciences, professor, corresponding member of NAAS, deputy director, National Scientific Centre "Institute of Agrarian Economics"
Sabluk Petro Trokhymovych, deputy chief editor, doctor of economic sciences, professor, academician of NAAS, academician-secretary of the Department, National Academy of Agrarian Sciences of Ukraine
Sychevskyi Mykola Petrovych, doctor of economic sciences, professor, academician of NAAS director, Institute of Food Resources of National Academy of Agrarian Sciences of Ukraine
Khvesyk Mykhailo Artemovych, doctor of economic sciences, professor, academician of NAAS, director, State Institution "Institute of Economy of Environmental Resources and Sustainable Development of NAS of Ukraine"
Khodakivska Olga Vasylivna, doctor of economic sciences, senior research fellow, deputy director, National Scientific Centre "Institute of Agrarian Economics"
Zvi Lerman, doctor of economic sciences, professor, Hebrew University of Jerusalem, Israel
Shebanin Vyacheslav Serhiiovych, doctor of technical sciences, professor, academician of NAAS, rector, Mykolaiv National Agrarian University
Shpykuliak Oleksandr Hryhorovych deputy chief editor, doctor of economic sciences, professor, academic secretary, National Scientific Centre "Institute of Agrarian Economics"
Shpychak Oleksandr Mykhailovych, doctor of economic sciences, professor, academician of NAAS, chief research fellow, National Scientific Centre "Institute of Agrarian Economics"
, 2021.


There are 33 organizations in Nebraska that provide domestic violence services at some level. A total of 33 organizations have provided complete information about their program to this site for a statewide completion rate of 100%. These programs can be found in 26 different cities.
Click on any of the 26 cities below to learn about the programs in these areas. You'll also see information further below on categories of service offered in Nebraska, and within each category you'll find the individual services within that category.
The most common category of service in Nebraska – based on the likelihood of each program to offer all the services within a category – is "emergency services", while the least common category of service is "counseling services".
The two most common individual services within any category of service in Nebraska are "domestic violence education and crisis intervention services" while the two least common services are "legal clinics and art/music therapy".
Spanish is spoken at 66% of the organizations. The third most common language after English and Spanish is Portuguese at 3% of the organizations. Demographically, the organizations are mostly like to be equipped to serve Women .


By choosing SAP, you choose world class craftsmanship and materials resulting in magnificent beauty and best possible performance.
SAP Renovation covers all services with 5 year warranty of workmanship and materials provided or used during the process of restoring or rebuilding your instrument. During this period, SAP Renovation will remove any malfunctions resulting from regular, thus appropriate use of the instrument by repairing or replacing necessary parts without charging the owner for labour or materials. All warranty work will be carried out on the premises of SAP Renovation unless agreed otherwise. Occasionally and in justified circumstances, SAP will send trained representatives to resolve the defect on site.
E) Any attempts to tune, regulate, or adjust the action during exploitation of the piano by its users.
On top of that, all service work should be always carried out by professional tuner/technician.
The piano should be inspected immediately after its delivery. In order to maintain the right to warranty claim, any signs of defects should be reported to SAP Renovation representatives via e-mail in 7 days following the delivery.
There are several suggestions that should be followed in order to enjoy your instrument safely and for a long time. First and foremost, by no means should the instrument be exposed to extreme temperature and humidity conditions. It is unacceptable to place the piano near any source of heating, thus, it is highly advised to choose a place where no central heating nor windows will have a direct contact with the instrument. Proper and thoughtful positioning of your piano includes placing it far away from external walls and closer to inner walls which are less susceptible to temperature changes during a very cold winter or a very hot summer. Therefore, we recommend keeping a constant 40%-65% humidity and 20oC. If it is impossible to keep a constant humidity level, we advise to consider equipping your instrument with one of many humidity control devices available on the market.
Another crucial rule to keep your instrument safe is to avoid sunlight. Long lasting sunlight exposure will result in veneer defects and will discolour the wood or finish. Last but not least, try to avoid cleaning your piano with a regular dust cleaner. Some of these products may contain certain chemicals that may damage your case in an irreversible way.
Regardless of how frequently the piano is used, it is recommended to tune and regulate its action, keyboard, and trap work at least twice every year.
Such maintenance frequency secures stable tuning at 442 HZ and fluid action responsiveness.
Keeping old treble and bass bridge caps while restoring acoustic part of the instrument may have a negative impact on sound properties and tone while playing.
Keeping old pin block while restoring acoustic part may result in tuning instability.
The following piano elements are covered by manufacturer's warranty. Any complaints related to quality or defects are forwarded to respective suppliers. Complaints related to inappropriate installation are reviewed by SAP Renovation.


Integrin alpha 6 is a protein encoded by a gene ITGA6 in humans. Integrin α chain, is alpha 6 ITGA6 protein product. Integrin is a cell surface protein of integrated consisting of one α and β chain from the chain. Chain can be combined with different partners on the results of various integrins. For example, β4 integrin May 6 in combination or TSP180, and many β-1 integrin VLA-6. Integrin to be involved in signal transduction to the cell surface through cell adhesion and are known. transcript variants encoding two different isoforms have been found for this gene.
Integrin α chain, is alpha 6 ITGA6 protein product. Integrin is a cell surface protein of integrated consisting of one α and β chain from the chain. Chain can be combined with different partners on the results of various integrins. For example, β4 integrin May 6 in combination or TSP180, and many β-1 integrin VLA-6. Integrin to be involved in signal transduction to the cell surface through cell adhesion and are known. transcript variants encoding two different isoforms have been found for this gene.
Through-4 superfamily (TM4SF) protein forms a complex with cell surface proteins and other integrins. Immunoprecipitated with CD81 from MDA-MB-435 cancer cells of the breast for further characterization of the major protein present in TM4SF protein complex in a typical combined monoclonal antibodies to both proteins. Only two types of cell surface proteins that are recognized by antibodies that are 35 our choice. These included (NAG-2 and CD9, CD63,) protein TM4SF three different and (α6β1) integrin. NAG-2 protein (novelantigen-2), which is up to a cell surface protein of 30 kDa unknown. To isolate NAG-2 by using the protocol of cDNA encoding for expression cloning. The deduced amino acid sequence TM4SF, the NAG-2 showed maximum identity for CD53 (34%) when aligned with other proteins. Immunohistochemistry flow cytometry and Northern blotting showed to be present in a variety of cell types NAG-2 and the tissue, brain, lymphocytes, and not present in platelets. the organization in a different, strong staining was observed in fibroblasts, endothelial cells, in mesothelial cells and follicular dendritic cells. as nonstringent preparation, (CD81 and CD9), and NAG-2 protein was co-immunoprecipitated with integrin (α3β1andα6β1) members TM4SF other. In addition, immunofluorescence two color was shown to co-localize NAG-2 and CD81 on the surface of the growth of HT1080 cells. These results confirm the presence of TM4SF integrin complex with NAG-2-specific TM4SF · TM4SF.
Alpha-6/beta-1 integrin is a receptor on platelets laminin. Is a receptor for laminin in epithelial cells, integrin alpha-6/beta-4 is an alpha 6 integrin α chain, which plays an important role in the structural hemidesmosome.The ITGA6 protein production. Integrin is a cell surface protein of integrated consisting of one α and β chain from the chain. Chain can be combined with different partners on the results of various integrins. For example, β4 integrin May 6 in combination or TSP180, and many β-1 integrin VLA-6. Integrin to be involved in signal transduction to the cell surface through cell adhesion and are known. transcript variants encoding two different isoforms have been found for this gene.
ITGA6 gene provides instructions for making (α6 division) of the two proteins called integrins α6β1 and integrin α6β4. The integrin molecules of the other groups of proteins that control the adhesion of cells to each other, and protein (cell adhesion) – a web around the (cell matrix adhesion). Integrins transmits chemical signals that regulate cell growth and activity of specific genes.
protein is located in the epithelial cells, which are cells that line the surface of the body cavity mainly to α6β4 integrin. This protein plays a particularly important role in stabilizing and strengthening the skin. This is part of hemidesmosomes, is a microscopic structure for fixing the outer layer of skin (epidermis) to the lower layer. As part of a complex network of protein hemidesmosomes, α6β4 integrin, helps to keep the skin layer.
Made integrin subunits other forming the tissue or organ before birth α6, with α6β1 integrin function. α6β1 integrin protein is not considered as α6β4 integrin as well.
5 mutation was found to cause epidermolysis bullosa with pyloric atresia (EB-PA) at least the gene ITGA6. In addition, people with blistering of the skin, the EB-PA is born with a lethal blockage of the digestive tract called pyloric atresia. Mutations in the gene ITGA6 accounts for about 5% of all cases of EB-PA. Can lead to loss of α6β4 integrin function ITGA6 of cause gene mutations in EB-PA. These mutations alter the structure and function of normal cells, preventing or α6 integrin subunits to produce enough of this subset. cause the cells of the epidermis result lack of α6β4 integrin function is fragile, as fragile. Minor trauma other, can result in the formation of extensive blister, and to separate the skin layer or friction. How ITGA6 mutation is associated with pyloric atresia in the gene it is not so clear.
I believe that researchers, and may play a decisive role in the development of malignant tumors of both α6β4 integrin and α6β1 integrin is called a cancer. These arise in epithelial cells, these cancers can be breast cancer, lung cancer, liver cancer, prostate cancer, and may affect the organs and many tissues, including the skin. Changes in α6β4 integrin α6β1 integrin activities and places and cancer cells is associated with the development of cancer. Integrin protein, to activate the major signaling molecules to move through the body and invade other tissues, causing the cancer cells. These signals, the cancer cells to self-destruct, so that there is more resistant. Recent studies, in addition to their role in the evolution of cancers existing show integrin α6β1, α6β4 integrin, that it is possible and included in the initial formation of these tumors.


Modified channels/bookmarks.py from [767c735b6c] to [e1104d7956].
# This plugin provides for a simpler alternative to channel plugins.
# scan/uncover a station url at runtime.
# the more difficult cases.
# file (scripting language) can be run and queried for urls.
#   # Now normally, it would not just print something static.
# why a .py script had acces to all ST2s parsing tools already.
# not caching the final stream url.
# Conversly this plugin prevents editing of script station entries.
dir = conf.dir + "/scripts"
# OTOH this incudes a *double script invocation*.


What are the gotchas for using CocosSharp between different platforms?
Hi, I've already found out that the CCClippingNode.Stencil option doesn't work on iOS or Mac (as in post https://forums.xamarin.com/discussion/comment/96458#Comment_96458) and I wondered if the CocosSharp guys know of any other things that don't work or work slightly differently between the supported platforms?
I do appreciate that some of these may be down to MonoGame but I'm hoping that these are known especially as the unit tests seem to be quite comprehensive and the same across platforms - this was how I found the problem with Stencil option in CCClippingNode on iOS.
Perhaps there should be a fixed thread that just the CocosSharp guys can edit that lists all of the current known issues/differences?
I'm mainly coding on iOS but regularly testing on Android and WinPhone builds every few days, but that does mean that sometimes things may work on iOS that don't on the other platforms or that I get stumped on iOS due to a known bug which I then have to work around (but which would have worked on the other platforms).
Apologies if this information is already available but if so I've failed to find it.
BTW I'm really enjoying using CocosSharp and the Xamarin team have done a great job of making it accessible via C#. I've learnt enough to be dangerous!
Really no list exists. You can start one for people to reference though. Can not think of any off the top of my head right now either. The ClippingNode is one that has been there for a while but we are now tracking that one to be looked at.
I use CocosSharp with iOS, MacOS and Android. I'm using straight sprites mostly. I use a CCDrawNode for a lightning effect. I also use CCRenderTexture for a blur effect. That's about all I touch. It all works cross-platform, pretty much as expected.
Early on I found an issue with pre-multiplication of alpha channels in loaded PNG textures. I believe this is only an issue for me because I don't use xnb files for content - I'm not using the recommended content pipeline. I have all image content loaded from PNG files.
My observation was that on iOS and MacOS, textures were getting their alpha channels automatically pre-multiplied when loaded from PNG files. That is, the PNG image is not pre-multiplied in the resource of the app, but it gets pre-multiplied on load.
On Android, the alpha was not pre-multiplied on load, but it was expected to be pre-multiplied once loaded. This resulted in needing a non-pre-multiplied and a pre-multiplied version of every PNG file (one for the iOS/MacOS projects and the other for the Android project). Obviously, you would want to keep the non-pre-multiplied PNGs for editing anyway.
More recently I discovered an iOS-only issue where, if you called XNATexture.GetData() (maybe also SetData()) from within a closure (still on the main thread), it would mess-up up something with the OpenGL context (I think that's the correct terminology) and stop it from updating the screen.
I had been happily testing away on MacOS and Android (those two are easier for me to test on) for a few weeks. When I finally did an iOS test, I discovered that, at a certain point screen updates just stopped. It looked like the game froze; however, time was still marching on - I got sounds and everything, just not screen updates, until the scene changed.
I ended up having to re-work where I was making XNATexture.GetData()/SetData() calls. I may be wrong about my diagnosis of this issue - calling from within closure - but that's what fixed it for me and I tend to move on once I have a working fix.
All in all, I'm very very happy with the cross-platform performance (capability?) of CocosSharp. It really does feel very "write once, deploy multiple places" to me. But, of course, you do have to test in all the places.
I don't quite understand the bit about pre-multiplied alphas though as at the moment I use exactly the same PNG and JPG files on Android and iOS and they look the same to me in both environments both in the simulators/emulators and on real devices.
I'd like to use these on WinPhone as well without turning them into XNBs as a 2048x2048 JPG which may only be 200Kb turns into a 7Mb (ish) XNB - horrible. If I can't use JPGs directly on WinPhone in CocosSharp I'll probably just use a C# JPG decoder to get at the image pixels in from the JPG file and then set a texture with the result to avoid the size bloat when converting JPG to XNB.
Sidebar: I do however have four resolutions of every image I use as I'm creating a universal app that works from small phones up to large tablets/desktops (I've not tested on Windows desktop yet but I mean to at some point, and I've not tested on MacOS either as I don't have a Xamarin license for it) and I have images based on 256x256, 512x512, 1024x1024 and 2048x2048 dimensions and I can scale up or scale down the images I use. I can also support custom sizes, so I may support 1080x1080 based images (rather than scaling down from 2038x2048 or scaling up from 1024x1024) - but at the moment I'm not doing that.
In case you're wondering why I'm using those image sizes (especially when my game runs in portrait) that's because that is the base play area for the game, I have scores, icons, information that appear underneath the game area taking up the rest of the portrait real estate. All of my config for game levels is done using percentages in the game area which makes it really easy.
I did a test with a 2048x2048 image that was a 337 kb jpeg image. Using the MonoGame content pipeline with a TextureFormat = Color resulted in a 16 meg .xnb file. This is to be expected since its exporting the raw pixels with no compression at all.
Changing the TextureFormat = Compressed resulted in a 2.2 meg .xnb file. Yes this is allot bigger than the 337 kb but there is an important point here. The data in the 2.2 meg .xnb can be used directly by the GPU on the device, as it is , no decompression. a jpeg will need to be decompressed in to system memory then passed onto the GPU, which will take up ... 16 Meg of your GPU because its the raw texture data.
I know the .xnb's are bigger but the benefits are huge if you consider the load times, and the amount of texture memory that is used. You use less texture memory leaving room for more graphics Also it can be optimised for each platform, on iOS PVRTC texture compression is used, on Windows Phone its DXT.
On a side note the 2.2 meg .xnb was using DXT compression, the same image using PVRTC compression was about 2.1 meg, so not much difference.
Thanks for the info on XNB - definitely something to bear in mind.
My main problem is that I wanted 200+ unique levels in my game (each level uses two large base images plus various associated sprite sheets and one bitmap font) - and that would work out at well over 800Mb using XNB (and possibly over 1Gb) just for the images!
My game can take a performance hit due to using texture memory more inefficiently (although I suspect all my game graphics will fit easily into the texture cache) as it is not an out an out fast action game but a more casual game which will at times feature fast but not frantic action (all the graphics will be on one non-scrolling screen using an overhead type of view).
It'll be interesting to see how things go as I'm just at the beginning of my game odyssey with CocosSharp (I've written games before going all the way back to my first published game in 1990 - which interestingly was for the Acorn Archimedes which featured the very first ARM chip!).
FromStream does not work very well for loading raw asset types.
Thanks, on WinPhone I've found that .fnt files do NOT need to be converted to .xnb but that the image referenced by the .fnt file does.
I think that each level having their own background (I'm assuming that's the base image) and other sprite sheets is a bit excessive, especially if you have 200+ levels. Even before we consider the overall size of the total content, creating the unique artwork for each of these levels would be a taxing task.
My suggestion is that you should be using reusable assets across the levels or at the very least a selection of levels. If you think of AAA 2d titles such as a platformer (e.g. Rayman), they'll typically reuse a lot of the assets for at least a group of levels (e.g. different world), so even larger game studios aren't immune to this problem of a ballooning content size.
I think you're right, I am being overly ambitious!
I'm already re-using my levels 15 times over as I have 5 game modes all using the same level graphics, and each game mode has three variations (easy, medium and hard versions). But I'd quite like to have 100 distinct levels, I'm going to have 10 themes with 10 different levels within each theme.
My levels are entirely visible on screen, not made up of tiles, just one big graphic - once I get further with the game I'll release some more details which will make it obvious why this has to be so in my game.


If your engine sounds like it is about to come apart, CUT IT OFF. The following pictures show what can happen if you don't. For the record, I was not responsible for this. I also do not expect this repair to last. New parts have been ordered and backordered. This is only an experiment. This did work. The engine runs almost as good as it used to.


I fell in love for the first time when I was eight years old. My dad said, "I think you'll like this book…" and took out Pride and Prejudice to read to me, one chapter a night. That was it: I was a goner.
Oh, the banter between Elizabeth and Mr. Darcy! Oh, the crunchy conflict! The laugh-out-loud humour! The romance! I read P&P over and over again and lapped up every single movie and TV version. I devoured every book Jane Austen had written, adding Sense and Sensibility and Persuasion to my list of Favourite Books Ever.
1) First impressions are not to be trusted. The guy who looks like your dream man (Wickham!) may turn out to be a total sleaze (oh, Wickham). The guy who acts like a stuck-up jerk on your first meeting may turn out to be your perfect romantic partner in the end (ohhh, Darcy!).
2) Don't get married (or get a boyfriend, for that matter) just for the sake of Having A Man. It's so not worth it. Elizabeth's mother nags her daughters non-stop throughout Pride and Prejudice to Get A Man, Any Man, No Matter What It Takes! She's furious when Elizabeth turns down her awful cousin's proposal of marriage, because: how could anyone choose being single over being married, no matter awful the guy is? But we, the readers, cheer on Elizabeth for her decision, and so does her very smart dad, who begs her never to marry a man she can't respect. It is so much better to be single than to be with the wrong guy.
3) Never, ever sell yourself short. Elizabeth, a girl without any money or important connections - a girl who really, really needs a husband for practical financial reasons - turns down the proposal of the wealthiest, smartest and most gorgeous man she's ever met when Mr. Darcy announces that he loves her against his better judgment and even though "everyone knows" that he's too good for her. No way is she going to marry a man who's ready to spend the rest of his life reminding her that her family isn't as good as his! That's just a recipe for disaster. She doesn't accept his proposal until the second time around, when he proposes to her as an equal, admitting that he was wrong, wrong, wrong to have ever looked down on her. Successful marriages - and relationships - have to be founded on a basis of true equality and respect.
I've heard a lot of literary snobs and other "concerned adults" claim that girls who read romances will end up having "unrealistic" expectations about love, but my experience has been exactly the opposite. Growing up with Jane Austen's novels taught me that to have a true romance, I would have to respect myself, balance love with common sense, and look beyond a pretty face and surface charm to judge the real man underneath. I can't imagine any better lessons in love.
Oh, fantastic post Stephanie! I too learned a lot about love from Jane Austen, but you put it in words better than I ever could. Thank you! Everyone, please do visit Stephanie's website to find out more about her and A Most Improper Mackick!!
#6 Smart Girls Rock: Elizabeth is SMART and WITTY and doesn't pretend not to be. She puts Darcy down a peg or two when he deserves it but in the end (back to equality) she also learns to be humble and kind and more tolerant of his, and other people's, foibles. She never has to hide her intelligence, though, for the sake of romance (and improves her mind through plenty of reading)!
What a superb post. What a coincidence too, as I was reading about Stephanie's books earlier in the day! The cover of A Most Improper Magick is just gorgeous!
Sayantani, you are so right about the awesome Smart Girl aspect - I love that Darcy is attracted to her for her wit and intelligence, and that is what leads him to finally notice her fine eyes and other attractive features. And unlike Caroline Bingley, Elizabeth never flutters around him or tries to hide her intelligence!
Ooh! LOVE this post. Wise words, indeed, Stephanie!
I really, really love this post. Thank you so much Stephanie :) I heart Jane Austen so much and I return to her books again and again..


A few weeks ago, I shared on IG Stories that my me and my friends spent a Saturday morning getting photos of our auras taken. Kind of a different way to spend a day out with your besties right? But not really because we always have the most fun when we're doing something new and unexpected together. We've gone on a vampire tour in the French Quarter, had our tarot cards read, and eaten dinner in haunted restaurants. We have annual fancy hat brunches, Friendsmas dinners and more. Most recently, we got together to have a watch party for the Say Yes To The Dress episode that we filmed for my bffs wedding.
My point is, we LOVE any and every excuse to get together and make unforgettable memories. I wanted to put together a list of Galentine's Day ideas to help you share the love with your besties not just this month, but any time of year!
Always a classic and a people pleaser! I mean who doesn't want to just show up in pajamas and channel your inner slumber party days? (Back in the day, we would also make our own pizzas too!) I think pizza and rosé should be a monthly girls night in.
Okay, so I actually had a cookie decorating party in December, and it was SO much fun. I also love the idea of having a dessert bar with everyone bringing their favorite desserts to share. And dessert wine or cocktails? Hello chocolate martini!
I'm actually surprised that me and my friends have not done this yet. This could be as simple as everyone showing up with a bottle of their favorite wine to sip or finding a local spot in town that offers tastings. Bonus points if there are charcuterie boards involved.
Speaking of, I need to do this one asap, haha. I love a girls day of pampering like with spa manis and pedis. You could really do this one any time – not just for Galentine's Day.
Okay, this one is for the more adventurous if you're going to go out and find an actual karaoke bar. BUT the karaoke games they have available for Playstations etc are just as fun – and not as intimidating. I kinda love the dance off games too. SO much fun.
I'm the queen of face masks – I even gift my friends sheet masks, lip masks, you name it. So I love the idea of having a spa night to trade beauty and skincare treatments. Plus what better way to try a new product than to A. Get recommendations from friends B. Not have to spend money until you know you love it.
Yesss order that pitcher of bottomless mimosas and cancel all other Sunday plans. The best brunches are ones where you forget what time it is and just laugh for hours with your besties over delish food!
I've never actually gone to a "Favorite Things" party, but I love the idea. Basically you bring one of your favorite things – but enough to give one to each person attending the party. So if you have a favorite chapstick or nail polish color, you'd bring one for each person in attendance. And you leave with everyone else's favorites too. How fun is that?!
What's your favorite way to get together with girlfriends? Would love to hear your Galentine's Day ideas in the comments!
Gluten-free, dairy-free pizza is my fave from Mellow Mushroom!
Oh, the best of times and memories created to last forever! Btw, that pizza looks so delish!
I love these ideas for a cute galentines day party! The idea of everyone bringing their favorite of something is such a cool and unique idea. I definitely want to try doing something like this.
These are such fun ideas! My mom and I have a mani, pedi date and I can't wait. Of course we'll be drinking a little bubbly while we get pampered.
Ahh this is all TOO cute! I love having mani/pedi dates with my girlfriends, too. The pizza party looks so fun! Enjoy Galentine's/ Valentine's Day!
Love the idea of a favorites party!


text:
import copy
import logging
import os
from threading import Thread, RLock, Event
import threading
import time
import thread

from api.caching.temporal_analytics import getTimeIdFromTimestamp, getTemporalInfluenceCollection
from api.config import Configuration
from api.core.data_structures.queues import QueueEx, QueueNotify
from api.core.threads_core import BaseThread
from api.core.utility import DummyIterable, getUniqueId, criticalSection, getEpochMs, Timer
from api.geocode.geocode_cached import getGeocodeDataInMemoryCacheSize, getGeocodeQueryInMemoryCacheSize
from api.geocode.geocode_shared import GeocodeResultAbstract
from api.twitter.flow.data_core import DataCollection
from api.twitter.feed import Tweet, User, TwitterSession, TwitterFeed, UserAnalysis, Place, UserGeocodeConfig

logger = logging.getLogger(__name__)

def getUser(item):
    if isinstance(item, Tweet):
        return item.user
    elif isinstance(item, User):
        return item
    else:
        assert True

class TwitterThread(BaseThread):
    def __init__(self, feed, outputQueue=None, initialData=None):
        super(TwitterThread,self).__init__(self.__class__.__name__ + "_" + str(getUniqueId()),
                                           criticalThread = False)

        if feed is None:
            feed = TwitterFeed([],[],[],DummyIterable(),None)

        if outputQueue is None:
            outputQueue = QueueEx()

        assert isinstance(feed, TwitterFeed)
        assert isinstance(feed.twitter_session, TwitterSession)

        self.input_queue = feed
        self.twitter_session = feed.twitter_session
        self.twitter_feed = feed

        self.output_queue = outputQueue

        if initialData is not None:
            for item in initialData:
                item = copy.deepcopy(item)

                user = getUser(item)
                assert isinstance(user,User)

                logger.info('Retrieved tweet/user from file: %s' % item)

                item.setTwitterSession(self.twitter_session)

                self.output_queue.put(item)

        self.num_dropped = 0
        self.num_processed = 0
        self.num_twitter_geocoded_place = 0
        self.num_twitter_geocoded_coordinate = 0
        self.num_twitter_geocoded_both = 0
        self.num_not_twitter_geocoded = 0
        self.num_no_location = 0
        self.num_geocodeable = 0
        self.log_num_dropped_timer = Timer(Configuration.LOG_DROP_AMOUNT_FREQ_MS,False)

    def _onFailure(self, e):
        logger.error('Twitter stream thread has failed for instance %s, shutting down instance' % self.twitter_session.instance_key)
        self.twitter_session.parent_instance.shutdownInstance()
        super(TwitterThread,self)._onFailure(e)

    def _onRestart(self, e):
        logger.error('Twitter stream thread has failed for instance %s, restarting stream' % self.twitter_session.instance_key)
        self.twitter_feed.restartConnection()

    def _run(self):
        for tweet in self.input_queue:
            if self.stopped:
                return 0

            if tweet is None:
                continue

            if self.log_num_dropped_timer.ticked():
                numProcessed = self.num_processed
                numDropped = self.num_dropped
                total = numProcessed + numDropped
                if total == 0:
                    percentageDropped = 0
                else:
                    percentageDropped = float(numDropped) / float(total) * 100.0
                outputQueueSize = self.output_queue.qsize()

                numNoLocation = self.num_no_location
                numTwitterGeocodedPlace = self.num_twitter_geocoded_place
                numTwitterGeocodedCoordinate = self.num_twitter_geocoded_coordinate
                numTwitterGeocodedBoth = self.num_twitter_geocoded_both
                numNotTwitterGeocoded = self.num_not_twitter_geocoded
                numGeocodeable = self.num_geocodeable

                self.num_no_location = 0
                self.num_twitter_geocoded_place = 0
                self.num_twitter_geocoded_coordinate = 0
                self.num_twitter_geocoded_both = 0
                self.num_not_twitter_geocoded = 0
                self.num_geocodeable = 0

                self.num_dropped = 0
                self.num_processed = 0

                # GCQ = geocode cache queue.
                logger.info('Processed %d items, dropped %d items (%.2f%%) from GCQ (queue size: %d)' % (numProcessed, numDropped, percentageDropped, outputQueueSize))

                logger.info('Initial tweet state: no twitter geocode %d, twitter place %d, twitter coord %d, twitter place and coord %d, num geocodeable %d, num not geocodeable %d' % (numNotTwitterGeocoded, numTwitterGeocodedPlace, numTwitterGeocodedCoordinate, numTwitterGeocodedBoth, numGeocodeable, numNoLocation))

            assert isinstance(tweet, Tweet)

            if tweet.has_twitter_place and tweet.coordinate is None:
                self.num_twitter_geocoded_place += 1
            elif tweet.coordinate is not None and not tweet.has_twitter_place:
                self.num_twitter_geocoded_coordinate += 1
            elif tweet.coordinate is not None and tweet.has_twitter_place:
                self.num_twitter_geocoded_both += 1
            else:
                self.num_not_twitter_geocoded += 1

            if tweet.has_user:
                if (not tweet.user.has_location) and tweet.coordinate is None and (not tweet.has_twitter_place):
                    self.num_no_location += 1
                else:
                    self.num_geocodeable += 1

                if self.output_queue.qsize() < Configuration.GEOCODE_FROM_CACHE_INPUT_THREAD_SIZE_CAP:
                    self.num_processed += 1
                    self.output_queue.put(tweet)
                else:
                    self.num_dropped += 1

    def stop(self):
        super(TwitterThread,self).stop()
        if self.twitter_session is not None:
            self.twitter_session.close()

def processGeocodedUser(user, requiredType):
    assert isinstance(user, User)
    if not user.is_geocoded:
        return None

    if user.location_geocode.place_type != requiredType:
        return None

    return user

class GeocodeFromCacheThread(BaseThread):
    def __init__(self,
                 geocodeConfig,
                 inputQueue=None,
                 successOutputQueue=None,
                 primaryFailureOutputQueue=None,
                 highLoadFailureOutputQueue=None,
                 inMemoryOnly=None):
        if inMemoryOnly:
            inMemoryOnlyStr = '_MEMORY_ONLY'
        else:
            inMemoryOnlyStr = ''

        super(GeocodeFromCacheThread,self).__init__('%s%s' % (self.__class__.__name__, inMemoryOnlyStr),
                                                    criticalThread = True)

        assert isinstance(geocodeConfig, UserGeocodeConfig)

        if inputQueue is None:
            inputQueue = QueueEx()
        if successOutputQueue is None:
            successOutputQueue = QueueEx()
        if primaryFailureOutputQueue is None:
            primaryFailureOutputQueue = QueueEx()

        self.input_queue = inputQueue
        self.success_output_queue = successOutputQueue
        self.primary_failure_output_queue = primaryFailureOutputQueue
        self.high_load_failure_output_queue = highLoadFailureOutputQueue
        self.geocode_config = geocodeConfig

        self.num_dropped_from_success = 0
        self.num_dropped_from_primary_failure = 0
        self.num_failed_over = 0
        self.log_timer = Timer(Configuration.LOG_DROP_AMOUNT_FREQ_MS,False)

        self.num_processed = 0
        self.in_memory_only = inMemoryOnly

        self.sleep_time = float(Configuration.GEOCODE_FROM_CACHE_THREAD_WAIT_TIME_MS) / 1000.0

    def _run(self):
        for item in self.input_queue:
            if not self.in_memory_only:
                time.sleep(self.sleep_time)

            user = getUser(item)
            assert user is not None

            user.clearGeocode(True) # in case previously geocoded by in memory.

            if user.is_geocoded:
                success = True
            else:
                success = user.geocodeLocationFromCache(self.geocode_config, self.in_memory_only)

            if self.log_timer.ticked():
                numProcessed = self.num_processed
                numDroppedFromSuccess = self.num_dropped_from_success
                numDroppedFromPrimaryFailure = self.num_dropped_from_primary_failure
                numFailedOver = self.num_failed_over
                total = numProcessed + numDroppedFromSuccess + numDroppedFromPrimaryFailure + numFailedOver

                if total == 0:
                    percentageDroppedFromSuccess = 0
                    percentageDroppedFromPrimaryFailure = 0
                    percentageFailedOver = 0
                    percentageSuccess = 0
                else:
                    percentageDroppedFromSuccess = float(numDroppedFromSuccess) / float(total) * 100.0
                    percentageDroppedFromPrimaryFailure = float(numDroppedFromPrimaryFailure) / float(total) * 100.0
                    percentageFailedOver = float(numFailedOver) / float(total) * 100.0
                    percentageSuccess = float(numProcessed) / float(total) * 100.0

                outputQueueSize = self.success_output_queue.qsize()
                failOverOutputQueueSize = self.primary_failure_output_queue.qsize()

                geocodeDataInMemoryCacheSize = getGeocodeDataInMemoryCacheSize()
                geocodeQueryInMemoryCacheSize = getGeocodeQueryInMemoryCacheSize()

                self.num_dropped_from_success = 0
                self.num_dropped_from_primary_failure = 0
                self.num_processed = 0
                self.num_failed_over = 0

                # FEGQ = follower extractor gate queue
                logger.info('Geocoded %d items (%.2f%%), failed over %d items (%.2f%%), dropped successful geocode items %d items (%.2f%%), dropped failed geocode items %d items (%.2f%%) - success output queue size: %d, fail over output queue size: %d - geocode cache size: %d, place cache size %d' % (numProcessed, percentageSuccess, numFailedOver, percentageFailedOver, numDroppedFromSuccess, percentageDroppedFromSuccess, numDroppedFromPrimaryFailure, percentageDroppedFromPrimaryFailure, outputQueueSize, failOverOutputQueueSize, geocodeDataInMemoryCacheSize, geocodeQueryInMemoryCacheSize))

            if success:
                if self.success_output_queue.qsize() < Configuration.ANALYSIS_INPUT_THREAD_SIZE_CAP:
                    self.num_processed += 1
                    self.success_output_queue.put(item)
                else:
                    self.num_dropped_from_success += 1
            else:
                # Make sure the queue doesn't get too full, we only geocode once a second.
                # We don't deal with those that followers because that would take too long.
                if self.primary_failure_output_queue.qsize() <= Configuration.GEOCODE_FROM_CACHE_PRIMARY_FAILURE_OUTPUT_QUEUE_SIZE and (user.has_location or user.has_twitter_place):
                    self.num_failed_over += 1
                    self.primary_failure_output_queue.put(item)
                elif self.high_load_failure_output_queue is not None:
                    self.num_dropped_from_primary_failure += 1
                    self.high_load_failure_output_queue.put(item)

class GeocodeFromExternalThread(BaseThread):
    def __init__(self,
                 geocodeConfig,
                 inputQueue=None,
                 successOutputQueue=None,
                 failureOutputQueue=None):
        super(GeocodeFromExternalThread,self).__init__(self.__class__.__name__,
                                                       criticalThread = True)

        assert isinstance(geocodeConfig, UserGeocodeConfig)

        if inputQueue is None:
            inputQueue = QueueEx()
        if successOutputQueue is None:
            successOutputQueue = QueueEx()

        self.input_queue = inputQueue
        self.success_output_queue = successOutputQueue
        self.geocode_config = geocodeConfig
        self.failure_output_queue = failureOutputQueue

    def _run(self):
        for item in self.input_queue:
            user = getUser(item)
            assert user is not None

            if user.is_geocoded or not user.has_location:
                continue

            user.clearGeocode(True)

            if user.is_geocoded:
                success = True
            else:
                success = user.geocodeLocationFromExternal(self.geocode_config)

            if success:
                logger.info('Succeeded in geocoding user with location %s from external' % user.location_text)
                self.success_output_queue.put(item)
            elif self.failure_output_queue is not None:
                self.failure_output_queue.put(item)

            if not success:
                logger.info('Failed in geocoding user with location %s from external' % user.location_text)

class FollowerExtractorGateThread(BaseThread):
    # We have a follower extractor per twitter thread so that we can do more
    # than one user at a time.
    follower_extractor_threads = dict()
    _follower_extractor_threads_lock = RLock()

    def __init__(self, geocodeUserConfig, inputQueue=None, outputQueue=None, dataCollection=None, userAnalysisList=None):
        super(FollowerExtractorGateThread,self).__init__(self.__class__.__name__,
                                                         criticalThread = True)

        if inputQueue is None:
            inputQueue = QueueEx()
        if outputQueue is None:
            outputQueue = QueueEx()

        assert dataCollection is not None
        assert isinstance(dataCollection, DataCollection)
        assert isinstance(geocodeUserConfig, UserGeocodeConfig)

        self.input_queue = inputQueue
        self.output_queue = outputQueue
        self.geocode_user_config = geocodeUserConfig

        # We use the data collection to check for users which already have followers.
        self.data_collection = dataCollection

        self.user_analysis_list = userAnalysisList

        self.num_dropped = 0
        self.num_processed = 0
        self.log_num_dropped_timer = Timer(Configuration.LOG_DROP_AMOUNT_FREQ_MS,False)

    def getExtractorThreadByTwitterSession(self, twitterSession):
        if not twitterSession.is_session_active:
            return None

        extractorThread = criticalSection(FollowerExtractorGateThread._follower_extractor_threads_lock, lambda: FollowerExtractorGateThread.follower_extractor_threads.get(twitterSession,None))
        if extractorThread is not None:
            return extractorThread
        else:
            def onTerminateFunc():
                def doAction():
                    del FollowerExtractorGateThread.follower_extractor_threads[twitterSession]

                criticalSection(FollowerExtractorGateThread._follower_extractor_threads_lock,doAction)

            newThread = FollowerExtractorThread(self.geocode_user_config, outputQueue=self.output_queue, twitterSession=twitterSession, onTerminateFunc=onTerminateFunc, userAnalysisList=self.user_analysis_list)

            def doAction():
                FollowerExtractorGateThread.follower_extractor_threads[twitterSession] = newThread
            criticalSection(FollowerExtractorGateThread._follower_extractor_threads_lock, doAction)

            newThread.start()
            return newThread

    def shouldProcessUser(self, user):
        if user is None:
            return False

        return not self.data_collection.isDeepUserObjectIn(user)

    def addUser(self, user, maxQueueSize=None, restrictInfluenceArea = True):
        assert isinstance(user, User)
        if user.id is None:
            return False

        if not self.shouldProcessUser(user):
            return False

        extractorThread = self.getExtractorThreadByTwitterSession(user.twitter_session)
        if extractorThread is None:
            return False

        extractorThreadQueue = extractorThread.input_queue
        extractorThreadSession = extractorThread.twitter_session

        if maxQueueSize is not None and extractorThreadQueue.qsize() > maxQueueSize:
            return False

        if not user.is_geocoded:
            return False

        if restrictInfluenceArea is True:
            found = False

            locations = list()
            locations.append(user.location_geocode)
            if user.location_geocode.country is not None:
                locations.append(user.location_geocode.country)
            if user.location_geocode.continent is not None:
                locations.append(user.location_geocode.continent)

            influenceSourceGeocodeIds = extractorThreadSession.parent_instance.influence_source_cache_ids
            influenceSourceRectangles = extractorThreadSession.parent_instance.influence_source_rectangles
            if influenceSourceGeocodeIds is not None:
                for geocodeCacheId in influenceSourceGeocodeIds:
                    for userLocation in locations:
                         if userLocation == geocodeCacheId:
                             found = True
                             break

            if (not found) and influenceSourceRectangles is not None:
                for rectangle in influenceSourceRectangles:
                    south = rectangle[0]
                    east = rectangle[1]
                    north = rectangle[2]
                    west = rectangle[3]

                    for userLocation in locations:
                        userCoord = userLocation.coordinate
                        result = south < userCoord[0] < north and \
                                 east < userCoord[1] < west

                        if result is True:
                            found = True
                            break

            if not found:
                return False

        user.queued_for_follower_enrichment = True
        FollowerExtractorGateThread.lastPlace = user.location_geocode.place_id

        extractorThreadQueue.put(user)
        return True

    def _run(self):
        for item in self.input_queue:
            user = getUser(item)
            assert user is not None
            assert isinstance(user, User)

            if self.log_num_dropped_timer.ticked():
                numDropped = self.num_dropped
                numProcessed = self.num_processed
                total = numDropped + numProcessed
                if total == 0:
                    percentageDropped = 0
                else:
                    percentageDropped = float(numDropped) / float(total) * 100.0
                outputQueueSize = self.output_queue.qsize()

                self.num_dropped = 0
                self.num_processed = 0

                # AQ = analysis queue
                logger.info('Processed %d items, dropped %d items (%.2f%%) from AQ (queue size %d)' % (numProcessed, numDropped, percentageDropped, outputQueueSize))

            # Always add tweets, even if we don't extract the followers of the user.
            if isinstance(item, Tweet):
                if self.output_queue.qsize() < Configuration.ANALYSIS_INPUT_THREAD_SIZE_CAP:
                    self.num_processed += 1
                    self.output_queue.put(item)
                else:
                    self.num_dropped += 1

            # Already has followers loaded, maybe this came back from
            # geocoder, so we can put it in our output queue safely.
            if user.is_followers_loaded or user.is_followee:
                # Don't drop follower information, since that is so valuable.
                self.output_queue.put(item)
                continue

            # Make sure the queue doesn't get too full.
            if Configuration.AUTO_ENRICH_FOLLOWER_INFO_ENABLED:
                # Skip users with too few or twoo many followers.
                if (Configuration.FOLLOWER_ENRICHMENT_GATE_THREAD_MINIMUM_FOLLOWERS != 0 and user.num_followers < Configuration.FOLLOWER_ENRICHMENT_GATE_THREAD_MINIMUM_FOLLOWERS) or \
                   (Configuration.FOLLOWER_ENRICHMENT_GATE_THREAD_MAXIMUM_FOLLOWERS != 0 and user.num_followers > Configuration.FOLLOWER_ENRICHMENT_GATE_THREAD_MAXIMUM_FOLLOWERS):
                    continue

                self.addUser(user, Configuration.FOLLOWER_ENRICHMENT_QUEUE_SIZE)

class FollowerExtractorThread(BaseThread):
    def __init__(self, geocodeUserConfig, outputQueue=None, twitterSession=None, onTerminateFunc=None, userAnalysisList=None):
        super(FollowerExtractorThread,self).__init__(self.__class__.__name__ + "_" + str(getUniqueId()),
                                                     onTerminateFunc,
                                                     criticalThread = False)

        if outputQueue is None:
            outputQueue = QueueEx()
        if userAnalysisList is None:
            userAnalysisList = list()

        assert isinstance(twitterSession, TwitterSession)
        assert isinstance(geocodeUserConfig, UserGeocodeConfig)

        def continueRunningCheck():
            return twitterSession.is_session_active

        def notifyPositionFunc(item, position, lastPoppedItem):
            user = getUser(item)
            if user is None:
                return

            assert isinstance(user, User)
            user.follower_enrichment_progress.onQueuePositionChange(user, position, lastPoppedItem)
            self.output_queue.put(user)

        self.input_queue = QueueNotify(continueRunningCheck,2,notifyPositionFunc)
        self.output_queue = outputQueue
        self.twitter_session = twitterSession
        self.user_analysis_list = userAnalysisList
        self.geocode_user_config = geocodeUserConfig

        self.num_followers_processed = 0
        self.num_followers_geocoded = 0
        self.num_followees_processed = 0
        self.log_performance_timer = Timer(60000,False)

    def _onFailure(self,e):
        logger.error('Follower extractor thread has failed for instance %s, shutting down instance' % self.twitter_session.instance_key)
        self.twitter_session.parent_instance.shutdownInstance()
        super(FollowerExtractorThread,self)._onFailure(e)

    def _run(self):
        for item in self.input_queue:
            user = getUser(item)
            assert user is not None

            if user.is_followers_loaded:
                continue

            if user.twitter_session is None:
                logger.error('User reached enrichment thread with no twitter session')
                continue

            instance = user.twitter_session.parent_instance
            instance_key = user.instance_key
            startTime = instance.constructed_at
            temporalCollection = getTemporalInfluenceCollection(instance_key)

            analysis_list = list()
            for item in self.user_analysis_list:
                analysisObj = item(user)
                if analysisObj is not None:
                    assert isinstance(analysisObj, UserAnalysis)
                    analysis_list.append(analysisObj)

            def idsIterationFunc(userId, iteration, totalIterations):
                if not self.twitter_session.is_session_active:
                    return False

                #logger.info('Retrieved ids of user %d/%d' % (iteration, totalIterations))
                self.output_queue.put(user)

                return True

            def addTemporalEntryForCurrentUser(follower):
                timeId = getTimeIdFromTimestamp(startTime, Configuration.TEMPORAL_STEP, getEpochMs())

                userCacheIds = user.location_geocode.all_geocode_results_cache_id
                followerGeocodeResults = follower.location_geocode.all_geocode_results

                for userCacheId in userCacheIds:
                    userPlaceId = GeocodeResultAbstract.getPlaceIdFromCacheId(userCacheId)
                    userProviderId = GeocodeResultAbstract.getProviderIdFromCacheId(userCacheId)

                    for followerGeocodeResult in followerGeocodeResults:
                        followerPlaceId = followerGeocodeResult.place_id
                        followerProviderId = followerGeocodeResult.provider_id
                        followerPlaceType = followerGeocodeResult.place_type

                        instance.addTemporalEntry(temporalCollection, timeId, userProviderId, userPlaceId, followerProviderId, followerPlaceId, followerPlaceType)

            def iterationFunc(userId, iteration, totalIterations, followersFromLastIteration):
                if followersFromLastIteration is not None:
                    for follower in followersFromLastIteration:
                        if not self.twitter_session.is_session_active:
                            return False

                        assert isinstance(follower, User)
                        follower.is_followee = True

                        follower.geocodeLocationFromCache(self.geocode_user_config, False)
                        self.output_queue.put(follower)

                        # Follower is now ready to be analysed.
                        for item in analysis_list:
                            item.onFollower(follower)

                        self.num_followers_processed += 1

                        if user.is_geocoded and follower.is_geocoded:
                            self.num_followers_geocoded += 1
                            addTemporalEntryForCurrentUser(follower)

                self.output_queue.put(user)
                return True

            # Retrieve followers.
            #logger.info('Attempting to retrieve followers for user: %s' % user)
            user.getFollowerIds(idsIterationFunc)
            result = user.getFollowers(iterationFunc)

            for item in analysis_list:
                user.addAnalyser(item)

            user.queued_for_follower_enrichment = False

            if result is None:
                logger.error('Failed to retrieve followers for user: %s - explanation: %s, %s, %s' % (user.last_follower_enrichment_error, user.is_followers_loaded, user.is_follower_ids_loaded, user))
            #else:
                #logger.info('Retrieved %d followers for user %s' % (len(result), user))

            # Push update.
            self.num_followees_processed += 1
            self.output_queue.put(user)

            if self.log_performance_timer.ticked():
                numFolloweesProcessed = self.num_followees_processed
                numFollowersProcessed = self.num_followers_processed
                numFollowersGeocoded = self.num_followers_geocoded
                self.num_followees_processed = 0
                self.num_followers_processed = 0
                self.num_followers_geocoded = 0

                logger.info('Num followees processed %d, num followers processed %d, num followers geocoded %d' % (numFolloweesProcessed, numFollowersProcessed, numFollowersGeocoded))

        # Prevent this thread from being restarted.
        self.stop()

class AnalysisThread(BaseThread):
    def __init__(self, data, inputQueue=None):
        super(AnalysisThread,self).__init__(self.__class__.__name__,
                                            criticalThread = True)

        if inputQueue is None:
            inputQueue = QueueEx()

        assert isinstance(data, DataCollection)
        self.input_queue = inputQueue
        self.data = data

    def _run(self):
        for item in self.input_queue:
            if isinstance(item, Tweet):
                if item.has_user and item.user.is_geocoded:
                    self.data.addTweet(item)
                    self.data.prune()
                else:
                    self.data.addFailGeocodeTweet(item)
            else:
                if isinstance(item,User):
                    # This will be a user with follower or followee information
                    # so we do want to update the existing record in the database.
                    self.data.addUser(item, True)

class DisplayThread(BaseThread):
    def __init__(self, display):
        super(DisplayThread, self).__init__(self.__class__.__name__,
                                            criticalThread = True)

        self.display = display

    def _run(self):
        while True:
            time.sleep(0.001)
            for item in self.display:
                item.processCachedSignals()

def startThreads(data, display, userAnalysers):
    tweetQueue = QueueEx()

    userGeocodeConfig = UserGeocodeConfig(Configuration.GEOCODE_EXTERNAL_PROVIDER)

    feb = FollowerExtractorGateThread(userGeocodeConfig, dataCollection=data, userAnalysisList=userAnalysers)

    an = AnalysisThread(inputQueue=feb.output_queue, data=data)

    ge = GeocodeFromExternalThread(geocodeConfig=userGeocodeConfig, failureOutputQueue=an.input_queue, successOutputQueue=feb.input_queue)
    di = DisplayThread(display=display)

    gc = GeocodeFromCacheThread(geocodeConfig=userGeocodeConfig, primaryFailureOutputQueue=ge.input_queue, highLoadFailureOutputQueue=an.input_queue, successOutputQueue=feb.input_queue, inMemoryOnly=False)

    gcm = GeocodeFromCacheThread(geocodeConfig=userGeocodeConfig, inputQueue=tweetQueue, primaryFailureOutputQueue=gc.input_queue, highLoadFailureOutputQueue=an.input_queue, successOutputQueue=feb.input_queue, inMemoryOnly=True)

    for n in range(1, Configuration.NUM_GEOCODE_FROM_CACHE_WORKERS_MEMORY_ONLY):
        aux = GeocodeFromCacheThread(geocodeConfig=gcm.geocode_config, inputQueue=gcm.input_queue, primaryFailureOutputQueue=gcm.primary_failure_output_queue, highLoadFailureOutputQueue=gcm.high_load_failure_output_queue, successOutputQueue=gcm.success_output_queue, inMemoryOnly=gcm.in_memory_only)
        aux.start()

    for n in range(1,Configuration.NUM_GEOCODE_FROM_CACHE_WORKERS):
        aux = GeocodeFromCacheThread(geocodeConfig=gc.geocode_config, inputQueue=gc.input_queue, primaryFailureOutputQueue=gc.primary_failure_output_queue, highLoadFailureOutputQueue=gc.high_load_failure_output_queue, successOutputQueue=gc.success_output_queue, inMemoryOnly=gc.in_memory_only)
        aux.start()

    for n in range(1,Configuration.NUM_ANALYSIS_WORKERS):
        aux = AnalysisThread(inputQueue=an.input_queue, data=data)
        aux.start()

        aux = FollowerExtractorGateThread(inputQueue = feb.input_queue, outputQueue = feb.output_queue, geocodeUserConfig=feb.geocode_user_config, dataCollection=feb.data_collection, userAnalysisList=feb.user_analysis_list)
        aux.start()

    gc.start()
    gcm.start()
    ge.start()
    an.start()
    feb.start()
    di.start()

    return {'tweet_queue' : tweetQueue,'follower_extractor_gate_thread' : feb}

def startTwitterThread(twitterInstance,
                       initialData=None):
    #assert isinstance(twitterInstance, TwitterInstance)

    tw = TwitterSession(twitterInstance.twitter_authentication, twitterInstance)
    feed = tw.follow(keywords=twitterInstance.keywords, locations=twitterInstance.geographical_filter_rectangles, feedId=twitterInstance.instance_key)
    twt = TwitterThread(feed=feed, outputQueue=twitterInstance.parent_twitter_instances.tweet_provider, initialData=initialData)
    twt.start()
    return twt

redpajama_set_name: RedPajamaGithub


Exemplar package for 2009-2014 Honda Fit. Includes completed Photomodeler projects, a DXF, the source photographs and camera calibration, as well as project/accuracy reports. A completed iWitness project can be supplied upon request.


Definition - What does System File Checker (SFC) mean?
System File Checker (SFC) is a Windows 10 utility that helps administrators to check for file corruption. The executable utility may help to repair registry data. System File Checker is a feature of modern Windows operating systems including Windows 10, Windows 8, Windows 7 and Vista.
With System File Checker, users can open a command prompt window and trigger a system scan that shows whether protected system files may be corrupted. Microsoft recommends not closing the command prompt window until completion of the scan.
System File Checker may return one of several messages – for example, System File Checker may say that the utility did not find integrity violations. System File Checker may say that the system could not perform the operation. The utility may also indicate that the system found corrupt files and repaired them. If System File Checker is not able to fix corrupted files, users can go in and replace them manually.
What Technologies Can Counter Big Data Security Threats?


text:
(function() {
  'use strict';

  angular
    .module('nqms')
    .controller('HrAddController', HrAddController);

    function HrAddController($rootScope, $scope, $state, $stateParams, $q, deptService, baseInfoService, modalService, hrAddService) {
      var vm = this;
      var currentNode;
      var deptCache = deptService.getCacheDeptList();

      vm.select = select;
      vm.scope = $scope;
      vm.treeOption = {
        allowDeselect: false
      };

      vm.load = {
        func: initData,
        init: true
      };

      vm.load.func();

      function initData() {
        var defferd = $q.defer();

        deptCache ? transformTree(deptCache) :
        defferd.resolve(deptService.getDeptData().then(function (data) {
          transformTree(data);
        }));

        return defferd.promise;
      }

      function transformTree(data) {
        vm.deptData = data;
        vm.treeData = [handleData(data)];
        vm.expandedNodes = [vm.treeData[0]];
        vm.scope.$watch('vm.filterText', function (v) {
          if (v) {
            vm.expandedNodes = [].concat(vm.treeData[0]).concat(vm.treeData[0].children);
          } else {
            vm.expandedNodes = [vm.treeData[0]];
          }
        })
      }

      function select(node) {
        if (currentNode === node) return;
        currentNode = node;
        $rootScope.$broadcast('loading', 'tree');
        if (node.deptCode) {
          $state.go('home.add.detail', {
            deptCode: node.deptCode
          });
        }
        sessionStorage.setItem('selectedNode', angular.toJson(node));
        $rootScope.$broadcast('loaded', 'tree');
        // console.log(node);
      }

      function handleData(data) {
        var result = {};
        result.deptCode = data.deptCode;
        result.deptName = data.deptName;
        _.each(data.belongedDepts, function (v, i) {
          data.belongedDepts[i] = handleData(v);
        })
        result.children = _.compact([].concat(data.belongedDepts));
        return result;
      }
    }
})();


At Makovicka Physical Therapy, pain management is a top priority when it comes to helping our patients. Chronic pain is one of the most commonly misunderstood conditions facing our patients, and it differs greatly from acute pain. Acute pain is a normal sensation that alerts us to a possible injury in our body, but chronic pain may start after an injury, and can last more than 12 weeks. There is no clear cause for chronic pain, and it is often accompanied by fatigue, sleep disturbance or mood changes which can limit movement, strength and stamina, impacting the quality of life.
Our therapists with an advanced background in orthopaedic training have been successful in helping patients who have been diagnosed with chronic pain conditions such as Complex Regional Pain Syndrome, or CRPS, which are characterized by prolonged or excessive pain.
Helping CRPS and other patients to understanding pain is the first step in treating pain. Nick Weber is a physical therapist in our North 90th St. clinic, and he is passionate about helping patients with CRPS manage their chronic pain. He begins with Therapeutic Neuroscience Education (TNE), which is a process of educating patients on what pain is, where it comes from, and why we all experience pain differently.
TNE has been proven to relieve short-term pain in patients, and can lead to improvement in many objective measures. Understanding pain can lead to significantly lower health care costs for patients.
Nick uses a Graded Motor Imagery (GMI) approach to treating patients with CRPS or chronic pain. GMI involves a 7-step process that begins with TNE and leads to cardiovascular activity and functional training. Physicians are often eager to find clinicians who are willing to work with patients who have CRPS because traditional pain medications can have limited effects for them.
CRPS patients who visit a Makovicka PT clinic for physical therapy can expect easier accessibility and extended time spent with their clinician. Ultimately they will benefit from a therapy approach that integrates multiple interventions with the goal of helping them manage their chronic pain.
If you are suffering from chronic pain or CRPS, and traditional pain treatments aren't giving you relief, give us a call! Nick is ready to help you get back in the game!


text:
Bharti-MTN deal update
The delegation of regulatory officials of the South African Government and the market is an essential element of dual listed companies merger talks MTN Bharti issue, so that representatives of the Union Ministry of Finance.
Meetings of officials at the Securities and Exchange Board of India, Bandra Kurla complex of offices in India, the RBI and the Ministry of Finance. KP Krishnan, Joint Secretary in the Ministry, Executive Director, SEBI Usha Narayanan and Salim Gangadharan Chief Executive Officer, the Reserve Bank, were present among them.
Press Trust of India report said that South Africa has a delegation of senior officials from Treasury and the Reserve Bank of South Africa.
Although the Ministry of Finance on this issue, convertibility of the capital, taking into account the opinion of the Central Bank on the need for political decisions is detected, or even in the Foreign Exchange Management Act, which modifies the dual listing the required business rules and convertibility of the capital. Changing the law is necessary.
Negotiations on the conclusion of the talks came one day before the deadline was 30 September. Yesterday Finance Minister Pranab Mukherjee said the government was in favor of the agreement, but must be taken into account within the existing legal framework.
Bharti Airtel announced the plan, which provides 49 percent of received economic interests in MTN. In return, acquire MTN, Bharti Airtel, and 25 percent economic interest of the shareholders will receive 11 percent of MTN.


text:
SWEDISH ACADEMY
Home - Swedish Academy
Scientists who sparked 'a revolution in evolution' have won the Nobel Prize in chemistry
Frances Arnold, a biochemical engineer at Caltech, was awarded one half of the $1.01-million prize for conducting the first directed evolution experiments in 1993. Her work has led to the creation of more environmentally friendly ways of making drugs, agricultural chemicals and fuels, among other pr
Scandal in Sweden: Nobel prize for literature faces #MeToo moment
As female head of Swedish Academy takes the fall for a scandal-hit man, the institution is left in ruins61.jpgWhat, exactly, is the Swedish Academy? Or rather – what was it?


As he calls it 'A lazy Sunday afternoon photoshoot' photographer Herman van Bon did an awesome job in picturing Malawian photo model Mercy Chipeta showing my jewellery.
Modern & Tribal in church Street in Cape town is one of the outlets in the 'Mother City' selling my jewellery. And of course I check in now and then.
Here me with the guys of Modern & Tribal plus a photo of the shop interior.
"Yvonne de Wit is a jewellery designer in Napier, Western Cape, South Africa. She designs two signature lines: the Industrial or Retro Range which consists of assembled recycled plumbing materials & the Down-to-Earth Collection made of Sterling Silver combined with naturally bonded soil or crushed rock particles. All her designs are original. Her market is not 'mainstream trendy' but a small niche within 'mainstream grey'; especially women who value originality and speciality. Age group merely 35+ with emphasis between 50 and 75".
Many pictures with (locally sourced) models showcasing my work.
Single piece: Sterling Silver ring with hematite stone and earth (naturally bonded; NO artificial resins). I named it 'Waterfall'.
2019 Will be even better.
Open by appointment only (060-7124001) or, when the sign in outside; be lucky.


text:
Dédé is a 1989 French film by Jean-Louis Benoît. The duration is 80 minutes.

Synopsis
Loosely based on Hamlet, set in Algeria in 1957, Dédé goes to the marriage of his mother with uncle Raymond, brother of his late father, who died two months previously. Shocked by the sudden decision of his mother, Dédé meets childhoods friends Michel and Monique at the ceremony. One night his father appears to him to tell him that he was murdered by Raymond. Dédé vows to avenge his father.

Cast
 Luc Thuillier: Dédé
 Didier Bezace: Raymond, the uncle
 Hélène Vincent: Yvonne, the mother
 Yves Afonso: Maurice, the father
 Renée Faure: the grandmother
 Marion Grimault: Monique
 Jacques Mathou: the curate
 Philippe Demarle: Michel
 Michel Berto: Louis

External links
 Dédé on IMDB.com

1989 films
French comedy-drama films
1980s French films

redpajama_set_name: RedPajamaWikipedia