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Instagram Introduces 'Boomerang' for Both iOS and Android
by Terry Bass
After Hyperlapse and Layout, comes a new app from the company called 'Boomerang'. Essentially, it's an app that turns your videos into looping videos of the exact moment something is happening. It's kind of like a GIF, but in video format.
The app is fairly easy to use. All the user needs to do is press a button and the app will handle the rest. It takes a burst of 10 photos and puts them together into a one-second mini-video. It's similar to a GIF, but it loops back and forth instead of from the front. The videos can immediately be shared to Facebook and Instagram, or later from the gallery or camera roll.
When using the rear camera, it's called Boomerang, but upon switching to the front camera it's called a Selfieboom. We've downloaded the app and tried it out for ourselves. However, everytime we press the shutter button, it takes the burst shots and later shows a "Something Went Wrong. Please Try Again." error.
For those who would like to try it out for themselves, the app is now available on iOS as well as the Play Store.
Source: [Instagram Blog]
Instagram Adding Improved Ways To Filter Recommended Content
Instagram To Refresh Its Home Screen Next Month; Shop Tab Removed Entirely
Twitter Bans Promotion Of Certain Social Media Sites
by Ikmal Rozlan
Instagram Users All Over The World Reportedly Experiencing Massive Access Issues


Onyx And Diamond Ring is a part of Onyx And Diamond Ring Architecture pictures gallery. To see this Onyx And Diamond Ring in High Resolutions, right click on the image and choose "Save Image As" and then you will get this image about Onyx And Diamond Ring.
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How is the Global Financial System changing overtime?
Financial Globalization: How is the Global Financial System changing overtime? How do you perceive the future of the financial system?
What media models would you propose for future use in Arab regions and why?
Describe how you will demonstrate responsibility and accountability for your lifelong learning.


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"Geneva Day" @ WEF 2020
On January 21, the Swiss House in Davos will host discussions which will explore innovative solutions and new international governance mechanism in global health, digital trust or financial inclusiveness. Program (PDF, 2.2 MB) Request invitation
Geneva Solutions: the journalistic platform on international Geneva
Geneva, 20.12.2019: Geneva Solutions was selected as the best of the proposals submitted in response to the call for projects launched by the Confederation, the Canton and the City of Geneva.
First Global Refugee Forum in Geneva
Geneva, 17.12.2019: Ignazio Cassis opened the event co-hosted by Switzerland, to make concrete commitments in response to the challenges facing by refugees and displaced persons Press release Opening address
"Geneva Day" @ WEF 2020 •
Geneva Solutions: the journalistic platform on international Geneva •
First Global Refugee Forum in Geneva •
Understand the role of the Permanent Mission of Switzerland to the United Nations Office and to the other international organisations in Geneva and how it works
The term International Geneva refers to the unique concentration of international organisations, diplomatic representations, NGOs, academic and scientific institutions based in Geneva. The city is recognised in the world as a centre of excellence for international cooperation and multilateral diplomacy
New brochure Switzerland - Host State
The brochure Switzerland - Host State reveals by combining a brief history with interesting facts how Switzerland's ambitious and visionary host-state policy enabled to develop International Geneva
Manual of the regime of privileges and immunities and other facilities
The Permanent Mission of Switzerland in Geneva has created a manual on implementing the system of privileges and immunities to the permanent missions, international organisations and their staff members
One of the United Nations' principal objectives is to promote respect for human rights and the fundamental freedoms of all
Geneva is the principal multilateral platform for disarmament and arms control. The city hosts the Conference on Disarmament and the majority of the disarmament institutions. The bulk of international disarmament treaties are deposited in Geneva

redpajama_set_name: RedPajamaCommonCrawl


Pupil Voice is strong in Cantonian as we value our pupils' input. Throughout the year, pupils are called on to give their opinions through questionnaires and interviews with staff. They are asked to comment on their lessons and to give feedback on teaching strategies.
The School Council is another area where pupils are able to express their thoughts and opinions in order to make a change to school life. Through regular meetings, the Council discuss important ideas and issues that are then dealt with in school.
Furthermore, the pupils may be involved in the appointment of new staff from lesson observations to interviewing prospective teachers. This allows pupils to contribute to a very important process.


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December 18, 2015 April 4, 2017 by Pro Advisor
For Quick Help Report QuickBooks ProAdvisors in Minneapolis
Map of Minneapolis
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Quickbooks Support Services Call 1 (800) 301-4813
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Minneapolis is the county seat of Hennepin County, and larger of the Twin Cities, the 14th-largest metropolitan area in the United States, containing approximately 3.8 million residents. Minneapolis is the largest city in the state of Minnesota and 46th-largest in the United States. It was once the world's flour milling capital and a hub for timber, and today is the primary business center between Chicago and Seattle, with Minneapolis proper containing America's fifth-highest concentration of Fortune 500 companies. As an integral link to the global economy, Minneapolis is categorized as a global city.
Quickbooks Tech Support Minneapolis MN
Minneapolis is home to more than just the Minnesota Twins and the Artist Formerly Known as Prince. The 14th-largest metropolitan area in the U.S. is also home to 85 companies on this year's Inc. 5000. Minneapolis is the largest city in the state of Minnesota, nurturing industry giants such as Target, Best Buy, Pillsbury and General Mills. It's also the second-largest economic center in the Midwest–lagging just behind Chicago–with major business sectors including publishing, milling, food processing, education, and many more.
All these business sectors in Minneapolis have introduced the smart accounting software start or grow the business. This small business management software simplifies accounting tasks in less time and high accuracy. The Premiere and Pro versions incorporated with different features as per the needs of the business owners. With a very simple and friendly interface the software benefits the users to print checks, pay bills, track sales, manage payroll and multiple users handling. The software also thoroughly monitors business sales and manages inventory. The software also advantages the business owners with cheap subscription fee of the QuickBooks online version allowing the business owner to operate business easily.
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Sometimes it may happen that your accounting software may not function properly and it may affect your business badly at times. In this condition you need to seek assistance from QuickBooks ProAdvisors in Minneapolis. These Intuit certified professionals are highly experienced in handling all the complex errors that you face in your software. You can reach the ProAdvisors through the Quickbooks customer support number. The other support channels available are Email support, Live Chat support, FAQ's and Community forums. The QuickBooks software packages allow users to be benefited with QuickBooks SimpleStart, QuickBooks, QuickBooks Premier and QuickBooks online versions. The introduction of the software to your business will take it to new success.
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Three killed, 16 injured in Baghdad market suicide bombing: Iraq police
Coronavirus: World Banks approves $34 mln to support Lebanon's COVID-19 vaccinations
WATCH: UAE breaks ground on world's biggest solar power project
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ENEX Tuesday 20 March 2018
Sheikh Mohammed bin Rashid Al Maktoum, the Vice President, Prime Minister and Ruler of Dubai, broke ground on the 700MW fourth phase of the Mohammed bin Rashid Al Maktoum Solar Park, the biggest Concentrated Solar Power /CSP/ project in the world.
The start of the new project advances the UAE's global leadership in the use of clean and renewable energy.
He said that developing the UAE's infrastructure is top priority for the leadership and vital to raising the country's global competitiveness. The UAE is developing a new model for sustainability and innovation and is keen to find creative solutions based on international best practices and benchmarks.
The project, which features the world's tallest solar tower measuring 260 meters and the world's largest thermal energy storage capacity, will provide clean energy to over 270,000 residences in Dubai, reducing 1.4 million tons of carbon emissions a year.
The CSP project will use two technologies for the production of clean energy: the 600MW parabolic basin complex and the 100MW solar tower over a total area of 43 square kilometers.
This project, which features an investment of AED14.2 billion, has achieved the world's lowest Leveled Cost of Electricity /LCOE/ of USD 7.3 cents per kilowatt hour /kW/h/. This is a new global achievement for the UAE.
Saudi Arabia awards ACWA Power its first 300 MW solar PV project
Saudi Arabia to start solar project soon
Abu Dhabi's Masdar seals $188 mln funding for Jordan solar project
20,000 schools in Pakistan to be solar-powered
1702 Views Coronavirus: UAE cases surpass 3,500, marking record high number of infections


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ASUU strike suspension – full activities yet to resume in some university campuses
24 September 2017 | 5:00 am
ASUU strike suspension - full activities yet to resume in some university campuses.
ASUU
COVID-19: We are not experiencing a spike in Nigeria — NCDC, ASUU disowns notice of resumption on Twitter
Here are a few reasons to pick up a copy of The Guardian on Friday. Find these stories and much more when you grab a copy of The Guardian on Friday.
University students in Kwara protest against prolonged ASUU strike
UNIPORT alumni pip Rivers University alumni in novelty match
Turkey: Dozens arrested as students protest Erdogan university pick
Hundreds of demonstrators marched in Istanbul, despite a city ban on large gatherings due to the coronavirus pandemic. Police have arrested 36 people since the protests began on Monday.
Athens students clash with police over university policing plan
Hundreds of students demonstrate in Athens and other cities over a plan to increase policing at the country's violence-prone universities. The ministries of education and police this week rolled out the plan to create a dedicated 1,000-strong force to patrol campuses.
FG accuses ASUU of wasting N1.7 trillion investment in varsities and more
Here are a few reasons to pick up a copy of The Guardian on Friday. Find these stories and much more when you grab a copy of The Guardian on Friday.
One killed in University student protests in Johannesburg
At least one person has died and two students have been injured in clashes between South African students and police over tuition fees at the University of Witwatersrand in Johannesburg. Also, Ivory Coast's Prime Minister Hamed Bakayoko, who was seen as a possible successor to President Alassane Ouattara, has died in Germany, two days after his 56th birthday. And we meet South Africa's first Black female helicopter pilot, who runs a foundation training women in aerospace and aviation.
London university director under fire for using N-word
Students at London's School of Oriental and African Studies (SOAS) are demanding the resignation of Director Adam Habib after he used the N-word in an online meeting. Habib claims people have "rushed to judgment."
University of Aberdeen to return looted sculpture to Nigeria
The medical charity Doctors Without Borders (MSF) says its staff have been attacked and some witnessed Ethiopian soldiers killing at least four men in the war-torn northern Tigray region. Also, Burundian radio stations broadcasting over the border from Rwanda have been ordered to shut down. Conditions set by Gitega for the resumption of relations with Kigali mean bad news for exiled journalists. And finally, Scotland's University of Aberdeen will return a controversial bronze sculpture to Nigeria, after a review found that it had been looted.
Asiwaju Tinubu conferred Honourary Doctorate by University Of Agriculture
The National Leader of the All Progressives Congress, Asiwaju Bola Tinubu says strong efforts must be made to address insecurity problems affecting agricultural productivity in the country.
Police debunk claims of attack on University Of Abuja, FG approves strategy to combat poverty
Here are a few reasons to pick up a copy of The Guardian on Thursday. Find these stories and much more when you grab a copy of The Guardian on Thursday.
Restoring the fire-ravaged University of Cape Town library
In the wake of the devastating fire in the Jagger Library in Cape Town, restorers are trying to save what they can. So far the salvage has been a success.


You've heard me talk about Robin over at the Balanced Life before. Robin is now pregnant and knew she had to come up with a Pilates program that would work for her growing belly. She just came out with Balanced Beginnings, a program for mamma's to be!
Since many of you are in that boat I wanted to encourage you to check the program out and if it seems like it may be a good fit act now to get $100 off the program!


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Senior doctors strike in Zimbabwe- PHM Solidarity Statement
March 22, 2019 November 19, 2020 by gargeya
The People's Health Movement (PHM) supports the Community Working Group on Health (CWGH) statement[1] highlighting the need for an urgent political intervention to resolve the crippled health situation in Zimbabwe, which has led to a strike by senior doctors. Over the past few days, senior doctors in Zimbabwe have downed tools protesting over the terrible situation at the country's major hospital (Parirenyatwa Hospital). The hospital has no medicines, equipment and even sundries to assist patients and the situation is similar in other hospitals, including Harare Central hospital. The hospital situation should be treated as an emergency. There is no urgency and lack of prioritisation, costing many lives (including babies)[2]. Children in particular, who are the hope for the future, are becoming unnecessarily disabled or dying at birth, all preventable situations with the correct equipment, as explained by Dr Azza Mashumba in her desperate cry for help. This ultimately puts great stress on the hospital staff, but also stress and a financial burden not only on struggling families and communities, but on the whole nation.
Zimbabwe's public health services have since Independence (1980) been a buffer between people and the impoverishing and fatal impacts of ill health caused ultimately by poverty and deteriorating environmental and social conditions. The massive decline in the public health sector is thus a major crisis for poor people in the country, and leaves people starkly exposed to severe risk.
People with chronic diseases like diabetes are struggling to meet costs of their treatment. Such groups have difficulty taking medications when they do not have enough food to eat. We are concerned that the same lack of information and silence that concealed the cholera epidemic in its early stages is also leading to inadequate action on other health problems. This undermines an early response to preventing and managing these problems in the community.
While there is significant health infrastructure and a highly literate population, these assets are inadequate in the context of lack of medicine, equipment, services and staff, leaving public hospitals and clinics non-functional with consequences in preventable loss of life.
In all of this, CWGH urges the government of Zimbabwe to bring people back into the centre of focus and to involve communities in their plans on the way forward. Networks and community health workers have the ability to organise and support primary health care, even under harsh conditions.
Only with public accountability and involvement in the health system can the Zimbabwean people be assured that their health financing actually pays for medicines, supplies and trained health workers to treat current patients and to rebuild the national health system.
PHM supports the suggestions made by CWGH for the government to make a swift response through the Minister of Health to end this "endemic crisis by widening the participation of stakeholders in the development and implementation of policies for better health and developing innovative and new approaches in management and delivery of services in ways which enhance access, community satisfaction and local accountability"[3].
PHM therefore calls on the government:
To tackle the inequitable distribution of resources and poor governance. It is unacceptable that lives are lost and yet many ministers are receiving several cars each in an economy suffering high levels of unemployment, extreme fuel costs and very limited currency;
To ensure the correct and transparent use of existing health financing strategies such as the Health Levy;
To honour its commitment to allocating 15% of the national budget to the health sector;
We express our solidarity with the senior doctors and all health workers in Zimbabwe. We pledge our support to health workers who work tirelessly in the interests of their patients' health and well-being, as part of their commitment to realising their patients' human rights, including the right to health. Health is a fundamental human right and everyone must enjoy this right.
We demand urgent action by the Zimbabwean government to make medicines, equipment and sundries immediately available in all public health facilities to restore health and life. We also demand the Zimbabwean government respect its constitution which is the supreme law of the country, as well as regional instruments and international treaties which guarantees the right to enjoyment of the highest attainable standard of physical and mental health. At this time there is an urgent need for relief for those injured and displaced by the effects of the cyclone which has hit Southern-Eastern Zimbabwe.
PHM is a global network bringing together grassroots health activists, policy maker's civil society organizations, practitioners, and academic institutions from around the world, particularly from low and middle income countries (L&MIC) www.phmovement.org .
On behalf of the People's Health Movement East and Southern Africa.
PHM Global.
PHM East and Southern Africa Region.
Categories Africa South & East, Campaigns, Equitable Health Systems, HomePage, News from Countries
Happy Women's Day!
The killing of our first aid volunteer Sajed Mizher


Courtyard Melbourne surrounds travelers with the conveniences that make business and pleasure travel easy. Major attractions that are within close proximity of the hotel include Brevard Zoo, Space Coast Stadium, Walt Disney World, Historic Downtown and Beaches. Guests can start each morning with a reasonably priced breakfast buffet. When in need to unwind at the end of the day, take advantage of the heated swimming pool, whirlpool and exercise room. Complimentary onsite parking, Express Check-in/Check-out, onsite restaurant and complimentary coffee in the lobby are all the features the Courtyard Melbourne offers.
One voucher (per night, maximum 2 nights) for a $15 Amazon.com gift card<br />A valid Visa card must be used for room, tax, and all incidentals at the hotel. Registered guests will receive one voucher per room, per night, for a $15 Amazon.com Gift Card claim code (up to 2 nights, maximum value of $30). Voucher must be redeemed online within 30 days of check-out. A link to retrieve claim code(s) will be emailed within 5 business days of redemption. Quantities are limited; no rain checks or substitutions. Void where prohibited. Amazon.com is not a sponsor of this promotion. Amazon, Amazon.com, and the Amazon.com logo are trademarks of Amazon.com, Inc. or its affiliates. Amazon.com gift cards may be used only to purchase eligible goods on Amazon.com or affiliated website, endless.com; cannot be redeemed for purchases of gift certificates or cards, or for items from select third-party sellers. Amazon.com gift cards cannot be reloaded, resold, transferred for value, redeemed for cash, or applied to any other account. Other terms and conditions may apply.
Queen/Queen Room: Two queen beds. Balcony. High-speed Internet access. Cable/satellite TV with pay movies. Coffee/tea maker. Refrigerator and microwave on request. Hair dryer. Iron/ironing board.
King Room: One king bed. Balcony. High-speed Internet access. Cable/satellite TV with pay movies. Coffee/tea maker. Refrigerator and microwave on request. Hair dryer. Iron/ironing board.
-The Courtyard Melbourne is conveniently located adjacent to Melbourne: -Square Mall 2 Miles / 3 Kilometers | -Art Museum 2 Miles / 3 Kilometers | -Historic 2 Miles / 3 Kilometers | -Manatee Viewing 2 Miles / 3 Kilometers.


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Extracting Lungs from CT Images using Fully Convolutional Networks
by Jeovane Honório Alves, et al.
Universidade Federal do Paraná
Analysis of cancer and other pathological diseases, like the interstitial lung diseases (ILDs), is usually possible through Computed Tomography (CT) scans. To aid this, a preprocessing step of segmentation is performed to reduce the area to be analyzed, segmenting the lungs and removing unimportant regions. Generally, complex methods are developed to extract the lung region, also using hand-made feature extractors to enhance segmentation. With the popularity of deep learning techniques and its automated feature learning, we propose a lung segmentation approach using fully convolutional networks (FCNs) combined with fully connected conditional random fields (CRF), employed in many state-of-the-art segmentation works. Aiming to develop a generalized approach, the publicly available datasets from University Hospitals of Geneva (HUG) and VESSEL12 challenge were studied, including many healthy and pathological CT scans for evaluation. Experiments using the dataset individually, its trained model on the other dataset and a combination of both datasets were employed. Dice scores of 98.67%±0.94% for the HUG-ILD dataset and 99.19%±0.37% for the VESSEL12 dataset were achieved, outperforming works in the former and obtaining similar state-of-the-art results in the latter dataset, showing the capability in using deep learning approaches.
READ FULL TEXT VIEW PDF
Jeovane Honório Alves
Pedro Martins Moreira Neto
Lucas Ferrari de Oliveira
Automated Segmentation of Pulmonary Lobes using Coordination-Guided Deep Neural Networks
The identification of pulmonary lobes is of great importance in disease ...
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Hierarchical 3D Feature Learning for Pancreas Segmentation
We propose a novel 3D fully convolutional deep network for automated pan...
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Intracranial Hemorrhage Segmentation Using Deep Convolutional Model
Traumatic brain injuries could cause intracranial hemorrhage (ICH). ICH ...
Murtadha D. Hssayeni, et al. ∙
Semantic Segmentation of Pathological Lung Tissue with Dilated Fully Convolutional Networks
Early and accurate diagnosis of interstitial lung diseases (ILDs) is cru...
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CT-GAN: Malicious Tampering of 3D Medical Imagery using Deep Learning
In 2018, clinics and hospitals were hit with numerous attacks leading to...
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A Localisation-Segmentation Approach for Multi-label Annotation of Lumbar Vertebrae using Deep Nets
Multi-class segmentation of vertebrae is a non-trivial task mainly due t...
Anjany Sekuboyina, et al. ∙
Towards Ophthalmologist Level Accurate Deep Learning System for OCT Screening and Diagnosis
In this work, we propose an advanced AI based grading system for OCT ima...
Mrinal Haloi, et al. ∙
Cancer is one of the leading causes of death worldwide, with estimates of cases and mortality increasing over the years in less developed countries then more developed ones
[1] . Among different types, the lung cancer is the leading cause of death, except less developed countries' females. Studies in the US presented a declining of lung cancer deaths in last years (mainly in males), as a result of smoking reduction and enhancement in early diagnosis and treatment [2] . Nevertheless, further research is needed to decrease and control cancer cases, also for other health issues, e.g. interstitial lung diseases (ILDs).
Diagnosis of health issues is possible using data of different medical scan technologies. They may present distinct information about the body (e.g. anatomical and/or functional). A wide-used medical exam is the X-ray Computed Tomography (CT), also commonly referred as Computed Tomography. A CT scan can present a 3D structure from some part of or from the entire body, commonly used for detection of body anomalies like cancer. Thoracic area is widely scanned using CT scans to analyze the lung region, for detection of nodules (benign or malignant ones) and irregularities in the parenchyma [3] .
Experts analyze each CT slice (a 2D image of some depth from the 3D scan) to evaluate the patient (e.g. to found out malignant nodules). This evaluation can be exhaustive depending on the volume of scans analyzed and on its depth/complexity, which can reduce diagnostic reliability. Semi- and automatic approaches using computational techniques may aid experts, as a second opinion, and minimize the region of interest, thus reducing the number of slices evaluated. To increase the success not only of these approaches, but also to improve the evaluation of experts, a preprocessing step of segmentation is usually performed. In lung-related diseases, this step aims the extraction of the lung region only, removing unimportant and false-positive areas [4] .
I-a Related Work
Diverse works aimed to segment the lung region using different and combined techniques, that goes through region growing [5] , border analysis [6] , shape and probabilistic models [7, 8, 9] , and recently deep learning approaches [10] . A combination of histogram and morphological operations to extract the airspace, remove the bronchi and then segment the left and right lungs was proposed in [11] , which have obtained a mean overlap score (between lung mask and segmentation) of 97.3% in the LOLA11 dataset111Challenge can be accessed online at https://lola11.grand-challenge.org/. Another lung segmentation work [5] experimented on this dataset, with a 97% mean overlap score. For experiments, they used a in-house software named yacta ('yet another CT analyzer'), which implements a region growing based method, processing each lung side. A novel robust active shape model (RASM) matching combined with a optimal surface finding method was proposed as a two-step approach for left and right lung segmentation [7] . Experiments with a private dataset containing 30 CT scans (healthy and diseased ones) achieved a Dice similarity coefficient (DSC) of 97.5%±0.6%. Another approach is the one proposed by Nakagomi et al. [8]
. They presented a novel shape graph cut based lung segmentation, which the best results were achieved by a multi-shape graph cut approach with Jaccard index, also known as Intersection over Union (IoU), of
97.68%±1.05%. Experiments were performed with a synthetic image and 97 CT scans.
A wide evaluation on more than 400 CT scans with interstitial lung diseases and/or nodules was performed in a two-stage method based on fuzzy connectedness (FC) segmentation, detection of the rib-cage and texture features [12]
. This approach consists in obtaining a initial segmentation of the lung parenchyma through thresholding, seed generation for the left and right lungs, then the FC segmentation. In the second stage, a random forest classification combined with space information (e.g. rib cage) was used to identify lung pathologies, hence improving the initial segmentation. Average Dice coefficient of
95.95%±0.34% and 96.27%±10.58% for each observer were obtained in the datasets studied (excluding the LOLA11 challenge dataset). A mean overlap up to 96.8% was achieved in the LOLA11 dataset. Another fuzzy-based segmentation is the one proposed by Zhou et al. [13] , which aimed to extract lungs with juxtapleural nodules. After preprocessing and thorax extraction, lung segmentation is performed using a fuzzy-c-means clustering, then refinement with iterative weighted averaging and adaptive curvature threshold. A mean IoU of 95.81%±0.89% was achieved, also stated that every juxtapleural nodules was included in the segmentation. Another graph cut segmentation approach is the one developed in [9]
, which uses Gaussian mixture models (GMMs) and expectation maximization (EM). After a noise-removal Gaussian smoothing, a graph representing the image is constructed, then the min-cut/max-flow algorithm is applied to segment it into foreground and background. For this segmentation, seed points for both regions are required. Thus, the authors applied the GMMs with aiding of the EM-MAP (Maximum a Posteriori) algorithm for parameter estimation (although K-means clustering is used for parameter initialization). This approach had an average Dice of
98.74%±0.70%.
Although Shen et al. proposed a bidirectional chain-code lung segmentation in [14]
, its focus and evaluation were based on juxtapleural nodules found in the Lung Imaging Database Consortium (LIDC) dataset. Inflection points are detected both horizontally and vertically, based on the initial segmentation. Three features from these points were extracted and used as inputs for the SVM classifier. Then, lung border is reconstructed with the positive-labeled points. Evaluation in 233 CT scans reported a inclusion rate of
92.6% (373 out of 406 juxtapleural nodules), with averages of under- and over-segmentation of 2.4% and 0.3% respectively. Also, a control feedback system based segmentation using morphology and texture was proposed in [15] for analysis of 96 patients, which 81 had presence of ILDs. This approach obtained a Dice coefficient of 98.21%±1.35% and 98.58%±1.28% for left and right lungs respectively, with an average of 95.40% for both lungs. A proposed combination of incremental and constrained non-negative matrix factorization (NMF), named incremental constrained NMF (ICNMF), was experimented with pathological-simulated lung phantoms and also in real CT scans (a dataset with 17 cases and another from the LOLA11 challenge) [16] . Having the Dice scores of 96% and 96.5% (LOLA11 dataset), the technique had shown its robustness although, as stated by the authors, exclusion of nine dense pathological scans resulted in an increasing of its score to 98.6%, which would suggest a lower performance in cases of this pattern.
Soliman et al. [17] segmented the lungs through adaptive shape model, Linear Combination of Discrete Gaussian (LCDG) and Markov-Gibbs Random Fields (MGRF). Several versions of an original CT scan are generated by Gaussian scale space filtering then, together with the original image, used as inputs for the proposed method. Each one of these scans are subjected to the generation of first (LCDG) and second-order models (spatially uniform MGRF), then combined with shape priors. At last, a majority rule merging results into the final segmentation. Attaining Dice coefficients of 98.4%±1.0% and 99.0%±0.5%, for the UoLDB (in-house) and VESSEL12 datasets respectively, and an overlap of 98.0%±7.5% for the LOLA11 dataset, being ranked first in this competition. Following the popularity of deep learning models in recent years, also in segmentation with fully convolutional networks (FCN), Harrison et al. [10] proposed the P-HNN (progressive holistically-nested networks) model, a FCN-based approach which uses a progressive multi-path scheme to refine its results, aiming pathological lung segmentation. Experiments were conducted in three datasets: from LTRC (Lung Tissue Research Consortium), HUG-ILD and an infection-based dataset from NIH (National Institutes of Health). Respectively, Dice scores of 98.7%±0.5%, 97.9%±1.0% and 96.9%±3.4% were attained. Table I summarizes the works reported above.
Work Year Dataset Results
[11] 2011 LOLA11 97.3% overlap
[5] 2011 LOLA11 97% overlap
[7] 2012 Private DSC of 97.5%±0.6%
[8] 2013 Private IoU of 97.68%±1.05%
[12] 2014 Various 95.95%±0.34% and 96.27%±10.58% from 1st and 2nd observers
LOLA11 96.8% overlap
[13] 2014 Private IoU of 95.81%±0.89%
[9] 2015 Private DSC of 98.74%±0.70%
[14] 2015 LIDC Inclusion rate of 92.6%
[15] 2015 Private DSC of 98.21%±1.35% and 98.58%±1.28% for left and right lungs. Average of 95.40%
[16] 2016 Private DSC of 96%
LOLA11 DSC of 96.5%
[17] 2017 UoLDB DSC of 98.4%±1.0%
VESSEL12 DSC of 99.0%±0.5%
LOLA11 DSC of 98.0%±7.5%
[10] 2017 LTRC DSC of 98.7%±0.5%
HUG-ILD DSC of 97.9%±1.0%
NIH DSC of 96.9%±3.4%
TABLE I: Summary of related works in different datasets
Most works employed specific techniques which may not generalize to deviations from the studied samples, mainly without the presence of ILD cases. Although some works applied techniques in pathological lungs, further work is necessary to improve segmentation, since working on dense pathologies is still a challenge. Besides, popularity and promising results by deep learning approaches in many areas would incentive additional application in medical research. Hence, we propose a fully convolutional network based lung segmentation, which aims not only to segment healthy lungs, but also adapts to dense pathologies, correctly segmenting the lung region with application of more general and straightforward methods.
In the next sections, we present the methodology of our work and the results obtained. Section II briefly describes the datasets studied. Our lung segmentation approach is presented in Section III, then details about experiments and the results achieved by them in Section IV. Finally, Section V concludes our study.
Ii Datasets
In this section, a briefly description of the datasets used in our experiments is presented.
Ii-a Hug-Ild
Cases of interstitial lung diseases (ILDs) were publicly available in a dataset built at the University Hospitals of Geneva (HUG) [18] , motivating further studies about ILDs (in this paper, we will be referring it as HUG-ILD dataset). Compromised of 128 patients and 108 annotated CT series, the HUG-ILD dataset contains diagnosis from 13 ILDs, providing more variability. One thing to note is, despite the high number of annotated CT series, they have small quantity of slices (less than 100). Some examples are shown in Figure 1. Also, one case had half of its ground-truths blank, so these slices were removed from the experiments.
Fig. 1: Examples of pathological images in the HUG-ILD dataset.
Ii-B Vessel12
The VESsel SEgmentation in the Lung 2012 (VESSEL12) challenge [19] 222Challenge can be accessed online at https://vessel12.grand-challenge.org/home/. was proposed for the evaluation of both semi- and automatic methods for lungs' blood vessel segmentation in CT scans. A total of 20 scans were available for testing (plus three as examples). These methods would perform vessel segmentation and then their resulted annotations submitted to an online platform for validation. To aid vessel segmentation, annotated lung masks were included. Scans have an average of 432 slices (examples in Figure 2).
Fig. 2: Some slices from VESSEL12 dataset.
Iii Lung Segmentation with FCN and CRF
In the last years, usage of deep learning models is increasing and evolving to solve computer vision problems. These problems include object detection, biometric recognition and semantic segmentation. Long et al.
[20] popularized the usage of convolutional networks for semantic segmentation (e.g. Figure 3) with their work, presenting a fully convolutional network (FCN) with a skip architecture. FCN replaces the usage of fully connected layers with fully convolutional ones. Many latter segmentation works were based on this technique. Other approaches like deconvolution, unpooling, dilated convolution and multi-path refinement were also implemented in these models to enhance segmentation [21] .
Fig. 3: Semantic segmentation using convolutional networks. Extracted from [21] .
To better understand how FCNs work and their qualities, we first briefly explain what are convolutional networks. Also know as convnets, they are networks composed mainly by convolution layers, besides the presence of pooling and fully connected layers. Convnets "learn" the patterns of local regions in their convolution layers, applying convolutions in the image with a specific-size kernel, which its weights are tuned by feed-forward computation and back propagation. Also, pooling layers are employed to reduce the size of convolutional layer's output, increasing the area of effect of convolutions in latter layers, thus obtaining more global features. FCNs are networks composed of convolution layers with the absence of fully connected ones. One can transform a convnet into a FCN by converting its fully connected layers into fully convolutional layers (e.g. shown in Figure 4).
Fig. 4: Example of a network with fully connected layers being transformed into a FCN. Extracted from [21] .
Shelhamer et al. [21] extended their previous paper [20] about a FCN for pixel-wise prediction which adapts a pre-trained classification network with a skip architecture. A classification network, like the VGG16, is then extended using skip layers for pixel-wise prediction. Information of pooling layers (pool3 and 4) is combined with the last convolution layer (conv7), obtaining coarse and fine details to correctly predict local information based on the image structure. Figure 5 illustrates the skip architecture using VGG16. As we can see, shallow layers are used in combination with more deeper layers to refine the segmentation (producing the FCN16 and FCN8 models), as using only the final layers would result in coarser segmentations (FCN32 model).
Fig. 5: FCN-VGG16 skip architecture representation. Extracted from [21] .
The problem is that the output of these layers have different sizes and, since layer fusion is a element-wise operation, both outputs need to have the same shape. They solve this by scaling the smaller output to the larger, and cropping it to keep the same aspect ratio (if padding removed it). FCN8, the model used in this work, has three skip layers, combining information from pool4, pool5 and conv7 layers (shown in Figure
). After this fusion, the final prediction output is upsampled to the image original resolution and then a per-pixel softmax outputs the probabilities of each pixel being part of the lungs or not. Figure
6 presents a CT slice, used as FCN input, and the corresponding output of the lung class, with its probabilities rescaled to better visualize the result obtained.
Fig. 6: Example of an input and an output of a FCN. Output image shows the probabilities of being from the lung class rescaled to 0-255.
Despite the robustness of this technique, an enhancement in this initial segmentation can be employed to refine the outcome. Further improvements of the FCN for semantic segmentation refined their results with the Conditional Random Fields (CRFs), such as the DeepLab [22] , which also implements the efficient dense CRF proposed in [23] by Krahenbuhl and Koltun. They propose a fully connected CRF using Gaussian edge potentials for fast and reliable inference through a mean field approximation based approach, described below. In the context of CRFs, energy function can be defined as a sum of unary and pairwise potentials:
E(x)=∑iψu(xi)+∑i,jψp(xi,xj). (1)
As a post-processing step for FCN segmentation, unary potentials can be treated as the probability maps from softmax's output (more precisely, the negative log of the probability). As for the pairwise potentials, it models relationships between neighborhood, which may be color independent (smoothness kernel) or dependent (appearance kernel). Pairwise potential can be defined as follows:
ψp(xi,xj)= ω1exp(−||pi−pj||22σ2α−||Ii−Ij||22σ2β) (2)
+ω2exp(−||pi−pj||22σ2γ)
Then, we find the likely correct assignment (true labels) through a distribution P(x), where P(x)=exp(−E(x)). This distribution can be close calculated using a mean-field approximation, which generates a distribution Q(x). The idea is to minimize the KL-divergence between P(x) and Q(x). Each iteration of the mean field executes a message passing step, a compatibility transform and then a local update, until convergence. Through experiments, a optimal value of 10 iterations was proposed. More details about the computation by the mean field approximation are explained in the original article [24] .
Using the probabilities of being in the lung and non-lung classes computed by the FCN, we apply the fully connected CRF to analyze relationships in neighborhood and increase the true positive pixels. The labels assigned by the CRF are used to create the refined segmentation. Details about experiments executed, including optimal parameters found and results achieved, are described in the next section.
Iv Experimental Results and Discussion
Experiments were realized using two NVIDIA Titan Xp with 12 GB. For HUG-ILD and VESSEL12 datasets, we randomly separated their cases into five folds to assess the reliability of the entire datasets, since a difficult case (i.e. outliers) may be randomly included in the training dataset and not being reported in testing evaluation. Probability of this happening is high in the HUG-ILD dataset, since it has many different pathologies with few cases. Thus, each fold contains approximately 20% of cases. For each fold, testing subset consists of their cases; as for the training subset, cases of remaining folds were utilized. To correctly parameterize our model, we selected the first fold and applied a 10-fold cross-validation on its training subset, then the best hyper-parameters were applied in the other folds. Training of our model was executed with approximately 19.45 epochs.
Different from [20] , we employed the Adam optimizer as, through empirical analysis, better results were achieved. Also from initial experiments and based on their work, we determined that the following parameters were optimal for this problem:
Adam epsilon: 1e−9 (remaining Adam parameters were used as default [25] ).
Batch size: The values of 1, 2, 4, 8 and 16 were experimented. Higher values have shown a greatly improvement, converging much faster than a batch size equal to 1, being 8 the optimal choice for both speed and overall results.
Learning rate: Training was faster and better with a learning rate of 1e−5 than with 1e−3, 1e−4 and 1e−6.
Loss function: We experimented with cross-entropy, Dice and IoU-based losses. Initial experiments shown no substantial improvement, so cross-entropy was selected since its more consolidated.
Weight decay: The default value of 5e−4 was selected.
Through experiments, we verified that exclusion of the color independent term (smoothness kernel) in the pairwise potential improved segmentation, so we only utilized the appearance kernel in the post-processing step. For the CRF parameters, the values of ω1=3, σα=5 and σβ=26 contributed most to enhance segmentation. Moreover, inference is executed with 10 iterations (which as also the default value in [23] ).
Similar to works reported in Section I-A, we evaluate our proposed segmentation with the Dice similarity coefficient (DSC) [26] . The Dice coefficient is the spatial overlap score between two sets (e.g. ground truth and proposed segmentation). Given the number of true positives (TP), true negatives (TN), false positives (FP) and false negatives (FN) for each pixel in the CT scan, DSC can be calculated using the Equation 3 described below:
DSC=2TP2TP+FP+FN (3)
This coefficient is report for each patient (i.e. 3D score). For each fold, its DSC is reported as the average Dice between all cases. Final score for the dataset is the average Dice of cases from the entire dataset.
Both datasets have their particularities and can influence our model in different ways. Thus, we present a three-part experiment pipeline to evaluate our proposal detailed. These three main experiments are explained in the subsections below, also with their results and discoveries found.
Iv-a Experiment 1: Individual Data Set Training
In this first experiment, we focus on analyzing the generalization of our model in each dataset individually. The general idea in this experiment is to evaluate each dataset with only their data, for individual study, as one dataset consists mainly of healthy lungs and other of interstitial diseases. Inclusion of data with different characteristics may affect (positively or negatively) overall segmentation. This mixing will be evaluate in latter experiments.
Table II shows the scores obtained in the 5-fold evaluation of HUG-ILD and VESSEL12 datasets individually. Mean scores using FCN without and with CRF are reported for each fold, then for the entire dataset.
HUG-ILD Dataset
VESSEL12 Dataset
w/o CRF (%)
w/ CRF (%)
98.57±0.89 98.82±0.96 98.81±0.79 99.11±0.60
TABLE II: Relation of the Dice score obtained for each fold and overall in HUG-ILD and VESSEL12 datasets individually.
As we can see, employed of the fully connected CRF improved overall scores for both datasets, with extremely statistically significant (p<0.0001
). In the HUG-ILD, Fold #4 had the lowest mean and highest standard deviation between all folds. Application of CRF reduced the number of cases with
DSC<97% from five to three, although two remained with scores below 96% (95.6729%→95.8967% and 95.6306%→95.6326%). Fold #1 achieved the best results, with only two cases lower than 97% (but higher than 96%). Figure 7 illustrates two segmentations from this dataset. Pixels in green are the true positives, red are false positives and pixels in cyan are ground-truth pixels not segmented by our approach. As for the VESSEL12 (examples in Figure 8), a thing to note is that Fold #1 not only improved its DSC average with CRF, but also its standard deviation, enhancing greatly the segmentation in its worst case (97.75%→98.29%).
Fig. 7: Resulted segmentation in examples from Figure 1. Correctly segmented regions are in green, false positives in red and false negatives in cyan.
Comparing with other state-of-the-art works, we improved significantly the results in the HUG-ILD dataset if compared with the P-HNN approach [10] , which had a Dice score of 97.9%±1% against 98.40%±0.91% of the FCN only (p<0.001) and 98.67%±0.94% from the FCN+CRF approach (p<0.0001). Despite having a higher mean and lower standard deviation, our FCN+CRF approach in the VESSEL12 dataset was not significantly different from [17] , which achieved a DSC of 99.0%±0.5% (p>0.05).
Iv-B Experiment 2: Swapping Datasets
The purpose of this experiment is to analyze variations by using a different testing dataset, not only to check the inter-site differences, but also the peculiarities in a lung pathological dataset. Although the HUG-ILD dataset has slices without pathologies, low quantities may affect results in the VESSEL12 dataset. Table III shows the results obtained using models from the other dataset with FCN and FCN+CRF.
Fig. 8: Segmented slices from the VESSEL12 dataset.
94.85±9.85 95.09±10.11 97.29±0.60 97.82±0.62
TABLE III: Dice scores swapping the models from HUG-ILD and VESSEL12 datasets.
In general, every model from this experiment had inferior scores than the former, although their average did not decreased greatly. As a negative point in convolutional networks, usage of a model trained with highly different samples from the evaluated cases contributed to the high standard deviations, since the model did not learned to predict cases resembling them. This data-dependence can be a problem, though inclusion of sample from new types (e.g. interstitial diseases, tumors, different lung shapes, etc) may reduce or eliminate this behavior. Thus, we present in next subsection an investigation about this solution proposal.
Iv-C Experiment 3: Combination of datasets
In our third and final experiment, we combined the datasets to investigate the influences of a great quantity (from VESSEL12) and variability (from HUG-ILD) of thoracic CT slices. As the former has roughly three times the number of slices than the latter, we selected, for each epoch, only one third of the VESSEL12 dataset for training (the entire dataset is used every three epochs), balancing the influence of both datasets. Table IV presents the results from the combined model evaluated in the HUG-ILD and VESSEL12 datasets.
TABLE IV: Scores with the combined dataset model applied in both datasets.
Fig. 9: Some slices which segmentation partially failed, like incorrect segmentation of pathological patterns ((b)b), inclusion of trachea ((e)e), borders and thin regions excluded ((j)j and (k)k), segmentation of regions outside the thorax ((f)f).
Despite the fact that state-of-the-art results were achieved, some slices were badly segmented. Examples of bad segmentations in our approach are shown in Figure 9, with correct segmentation in green, and FPs and FNs as red and cyan, respectively. Problems like exclusion of pathological regions, removal of borders and thin regions, and incorporation of incorrect regions, like trachea and parts outside the thorax, were found. Also, uncertain results like regions possibly from the lungs not in the ground-truth (Figures (a)a and (d)d) and inclusion of bronchi in one slice and not in another (Figures (g)g and (j)j, respectively) may attest as why [10] stated errors in HUG-ILD ground-truths.
Compared with using the generated model from each dataset (first experiment), results using the combined model were similar. Thus, this approach may present more reliable results if used in different datasets, since learned well features from both datasets. Table V shows results obtained from our experiments compared with the P-HNN approach [10] .
DSC (in %)
HUG-ILD FCN
98.40±0.91
HUG-ILD FCN+CRF
VESSEL12 FCN
VESSEL12 FCN+CRF
ALL FCN
ALL FCN+CRF
P-HNN [10]
TABLE V: Comparison of proposed models with state-of-the-art in the HUG-ILD dataset
Comparison of our models and the work realized by [17] in the VESSEL12 dataset is presented in Table VI.
Soliman et al. [17]
TABLE VI: Comparison of proposed models with state-of-the-art in the VESSEL12 dataset
V Conclusion
A lung segmentation work using fully convolutional networks with post-processing conditional random field applied in ILD and non-ILD datasets is presented in this paper. In this approach, we used the FCN8 with the VGG16 model to generated the lung segmentation, then analyzed the influence of a fully connected CRF with Gaussian edge potentials as a post-processing step. Datasets with different patterns (e.g. healthy lungs, cancerous ones, interstitial diseases) were employed in experiments to evaluate generalization of the proposed models. Experiments demonstrated its capability, obtaining a Dice score of 98.67%±0.94% in the HUG-ILD dataset, outperforming state-of-the-art works (p<0.0001), and obtained similar results with a Dice of 99.19%±0.37% in the VESSEL12 (p>0.05, though had a higher mean and lower standard deviation). Further experiments using different and more variable samples are encouraged to assess its reliability. Also, usage of other classification networks like ResNet and newer versions of the Inception, combined with enhancements in the skip architecture, may lead to improvements.
This work was supported by CAPES/CNPq. We would like to thank NVIDIA Corporation with the donation of the Titan Xp GPU used in our experiments.
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Birthday fundraiser nets $7,000 for Lane
Standley Brady plans to continue to raise funds throughout this Thanksgiving season.
Birthday fundraiser nets $7,000 for Lane Standley Brady plans to continue to raise funds throughout this Thanksgiving season. Check out this story on jacksonsun.com: http://www.jacksonsun.com/story/news/2017/11/03/birthday-fundraiser-nets-7-000-lane/827328001/
THE JACKSON SUN Published 4:35 p.m. CT Nov. 3, 2017
Standley Brady used his birthday celebration to raise funds to support Lane College.(Photo: Submitted)
Jackson native Standley Brady used his birthday celebration to raise funds to support Lane College. Standley and his wife, Linda, hosted 100 friends and guests Oct. 14 at their Memphis-area home. Lane College President Logan Hampton and Mary McClure, who is the wife of Lane's ninth president, the late Wesley C. McClure, attended Brady's party. The theme for the evening was "Celebrating Life for a Cause."
During the three-hour celebration, Brady shared stories about his upbringing with his guests, including his invaluable childhood experiences in the former Fites Bottom area of Jackson, graduating from Jackson Central-Merry High School, Lane College and attending Mt. Zion Baptist Church and learning from what he calls the best Sunday School teachers.
Brady issued a respectful challenge to his guests to support Lane by directing any monetary birthday gifts in his behalf to the college. By the end of the evening, the group raised more than $7,000.
Brady plans to continue to raise funds throughout this Thanksgiving season. "I want to encourage all of my friends and former high school and college classmates to accept the challenge as well," he said. "If they make a donation as a part of my campaign 'Celebrating For A Cause,' it could push our total to $10,000." Brady said he was asking others, with the utmost humility, to give support to the worthy efforts made at Lane College during this season of Thanksgiving, adding, "Together we can do it."
Tax deductible donations to Lane College can be submitted on the school's website by clicking the "donate now" link at: www.lanecollege.edu or visit: https://squareup.com/store/lane-college or mail donations to: Lane College, Office of Institutional Advancement, 545 Lane Ave., Jackson, TN 38301.
For more information about Brady's "Celebrating Life for a Cause" contact him by email at: sbrady1821@aol.com
Standley Brady used his birthday celebration to raise funds to support Lane College. (Photo: Submitted)
Read or Share this story: http://www.jacksonsun.com/story/news/2017/11/03/birthday-fundraiser-nets-7-000-lane/827328001/
Suspect in Milan homicide of 17-year-old turns self in
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Suspect linked to Gangster Disciples wanted in homicide of 17-year-old
Carroll County doctor dies after more than 50 years of service
Community leaders talk reading levels


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BONNER SPRINGS, Kan. -- When a dog collapsed at Go Lizards Grooming in Bonner Springs, his groomer says instinct kicked in and she started doing CPR.
But Monday morning, Duke gave everyone at the groomer's a scare.
"There was nothing, no warning, no indication that anything was going to happen. He just flipped over on his side. He did a couple of gagging reflexes and stopped breathing," says Shelly Dunn.
Dunn, a groomer with 30 years of experience, quickly used CPR to revive the dog. It was the first time she used it even though she's been certified by the American Red Cross since 2007.
"He never had kind of an episode like this before. He gets stressed out sometimes when he does to the vet," he says.
Sixteen years ago, Hicks found Duke and his sister in a box on his porch attached with a note from a neighbor.
"We know you took care of your dogs, hope you can take care of ours," Hicks remembers of how Duke came into his life.
Hicks says he's never heard of pet CPR but now that he knows about it, he hopes others will learn too.
Dunn knows how hard it is to lose an animal. This morning, she put down a horse she's had for 11 years so hearing about Duke's good health is a good distraction.
"This one ain't done. He ain't even close," she says of Duke as she pats his head.
The death scare won't keep Duke away from the groomers. The store owners, Jason and Kelli Cruse, presented Duke with a certificate for free grooming for life.


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Checking for post-build
Performing post-build step
Checking if email needs to be generated
Email was triggered for: Always
Sending email for trigger: Always
Sending mail from default account using System Admin e-mail address
messageContentType = text/plain; charset=UTF-8
  Collecting change authors...
    build: 32
Adding recipients from project recipient list
Analyzing: prakashranas555@gmail.com
Looking for: prakashranasinghe@gmail.com
    starting at: 0
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    firstFoundIdx-substring: prakashranasinghe555@gmail.com
    => found type: 0
Analyzing: prakashranasinghe555@gmail.com
Looking for: prakashranasinghe555@gmail.com
    starting at: 0
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    firstFoundIdx-substring: prakashranasinghe555@gmail.com
    => found type: 0
Analyzing: prakashranasinghe555@gmail.com
Looking for: prakashranasinghe555@gmail.com
    starting at: 0
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    => found type: 0
Adding admin with address admin
Analyzing: admin
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Analyzing: admin
Looking for: admin
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Analyzing: admin
Looking for: admin
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Adding recipients from trigger recipient list
Successfully created MimeMessage
Sending email to: prakashranasinghe555@gmail.com admin
DEBUG: getProvider() returning javax.mail.Provider[TRANSPORT,smtp,com.sun.mail.smtp.SMTPTransport,Oracle]
DEBUG SMTP: useEhlo true, useAuth false
DEBUG SMTP: trying to connect to host "smtp.gmail.com", port 25, isSSL false
220 smtp.gmail.com ESMTP u13sm8039654pfi.51 - gsmtp
DEBUG SMTP: connected to host "smtp.gmail.com", port: 25
EHLO Prakashr.Direct.local
250-smtp.gmail.com at your service, [123.231.87.10]
250-SIZE 35882577
250-8BITMIME
250-STARTTLS
250-ENHANCEDSTATUSCODES
250-PIPELINING
250 SMTPUTF8
DEBUG SMTP: Found extension "SIZE", arg "35882577"
DEBUG SMTP: Found extension "8BITMIME", arg ""
DEBUG SMTP: Found extension "STARTTLS", arg ""
DEBUG SMTP: Found extension "ENHANCEDSTATUSCODES", arg ""
DEBUG SMTP: Found extension "PIPELINING", arg ""
DEBUG SMTP: Found extension "SMTPUTF8", arg ""
DEBUG SMTP: use8bit false
MAIL FROM:<nobody@nowhere>
550 5.5.0 Invalid EHLO/HELO domain.
DEBUG SMTP: got response code 550, with response: 550 5.5.0 Invalid EHLO/HELO domain.

RSET
250 2.1.5 Flushed u13sm8039654pfi.51 - gsmtp
DEBUG SMTP: MessagingException while sending, THROW:
com.sun.mail.smtp.SMTPSendFailedException: 550 5.5.0 Invalid EHLO/HELO domain.
;
  nested exception is:
    com.sun.mail.smtp.SMTPSenderFailedException: 550 5.5.0 Invalid EHLO/HELO domain.

    at com.sun.mail.smtp.SMTPTransport.issueSendCommand(SMTPTransport.java:2374)
    at com.sun.mail.smtp.SMTPTransport.mailFrom(SMTPTransport.java:1808)
    at com.sun.mail.smtp.SMTPTransport.sendMessage(SMTPTransport.java:1285)
    at hudson.plugins.emailext.ExtendedEmailPublisher.sendMail(ExtendedEmailPublisher.java:539)
    at hudson.plugins.emailext.ExtendedEmailPublisher._perform(ExtendedEmailPublisher.java:444)
    at hudson.plugins.emailext.ExtendedEmailPublisher.perform(ExtendedEmailPublisher.java:354)
    at hudson.tasks.BuildStepMonitor$1.perform(BuildStepMonitor.java:21)
    at hudson.model.AbstractBuild$AbstractBuildExecution.perform(AbstractBuild.java:808)
    at hudson.model.AbstractBuild$AbstractBuildExecution.performAllBuildSteps(AbstractBuild.java:757)
    at hudson.model.Build$BuildExecution.cleanUp(Build.java:189)
    at hudson.model.Run.execute(Run.java:1958)
    at hudson.model.FreeStyleBuild.run(FreeStyleBuild.java:43)
    at hudson.model.ResourceController.execute(ResourceController.java:100)
    at hudson.model.Executor.run(Executor.java:433)
Caused by: com.sun.mail.smtp.SMTPSenderFailedException: 550 5.5.0 Invalid EHLO/HELO domain.

    at com.sun.mail.smtp.SMTPTransport.mailFrom(SMTPTransport.java:1817)
    ... 12 more
Not sent to the following valid addresses: prakashranasinghe555@gmail.com admin
SMTPSendFailedException message: 550 5.5.0 Invalid EHLO/HELO domain.

Next SMTPSenderFailedException message: 550 5.5.0 Invalid EHLO/HELO domain.

QUIT
221 2.0.0 closing connection u13sm8039654pfi.51 - gsmtp
Finished: SUCCESS

A: According to an answer at ServerFault to SMTP Server 550 Access denied - Invalid HELO name it's probably the line:
EHLO Prakashr.Direct.local

which doesn't have an FQDN.

redpajama_set_name: RedPajamaStackExchange


text:
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Getting pregnant sperm problems,what are chances of pregnancy after ovulation video,how to get pregnant fast video youtube 4k - Good Point
Sex steroid - wikipedia, the free encyclopedia, Sex steroids, also known as gonadal steroids, are steroid hormones that interact with vertebrate androgen or estrogen receptors. New tests reveal many pesticides block male hormones, Many agricultural pesticides – including some previously untested and commonly found in food – disrupt male hormones, according to new tests conducted by british.
The Sperm Meets Egg Plan is a step-by-step guide to achieving pregnancy without taking invasive tests, charting temperatures, or making mistakes in predicting your ovulation that result in mistimed attempts at fertilization. If they can't figure out how to get the kids locks trimmed they have no business being parents. Keystone Kop wrote:If they can't figure out how to get the kids locks trimmed they have no business being parents. So their family, friends and town aren't open to a biracial child, but they are OK with their lesbianism?If anyone has a lawsuit, it should be the brother who had his seed implanted in either of these two sows.
I would venture to guess the sow that got artificially inseminated is the one with the pink shirt on.
The collection and freezing of ram and buck semen is an Australian technology that was developed in the 1960's, and is now a very routine tool used by stud breeders to preserve genetics. To use a sire in an AI program that cannot be used for natural joining, such as Show rams, very young rams or infirm rams. Nearly all sires are candidates for semen collection, and even some injured or arthritic sires can be collected successfully.
Semen from rams with significant apparent testicular pathology can be frozen successfully, whilst some rams with no apparent problem can be infertile. There are two methods of semen collection; byartificial vagina (AV) or electro-ejaculation. AV collection involves placing a teaser ewe or doe in a restraining bail, introducing the sire to the teaser, and when the sire mounts his penis is guided away from the teaser and into the AV.
Electro-ejaculation involves the solid restraint of the sire and a rectal probe, through which a steadily increasing current is passed until ejaculation occurs.
Electro-ejaculation does procure semen from sires that will not serve ewes with a handler close at hand, sires that have a physical injury preventing natural service and sires that have a penile injury that prevents use of the AV. If the semen is assessed as freezable, then it will be extended with a chemical dilutent designed to protect the semen during chilling and freezing, and supply energy for the sperm during the periods of activity (pre-freeze and post-thaw). Frozen semen is kept permanently in liquid nitrogen tanks, and LBS has an inventory system that will show you all movements, each quarter. Given that one semen ejaculate will dilute to givemaybe 60 to 80 doses of frozen semen, and that an average ram will give us say 2 ejaculates on 3 days per week, 400 to 500 doses per week is an average expectation.
In the paddock situation, if a sire is joined to 50 females, he will have about 3 cycling each day for say 17 days.
Thus it is important to use credible professional inseminators, and to ensure that semen purchased is from licensed artificial breeding centres. LBS has 2 centres (Jerilderie and Yass) and will collect and freeze the best possible semen from your sire. This technique of artificial insemination involves the synchronisation of oestrus and a single, timed insemination of ewes or does with a minor surgical procedure.
The technique bypasses the cervix of the ewe, which is narrow and tortuous and a barrier to simpler techniques of artificial insemination.
Most laparoscopic AI utilises thawed frozen semen that has been stored in liquid nitrogen. Breeding a much larger number of ewes to a valuable sire than is possible with natural service.
Use of a very young sire, especially where his growth is not to be slowed by paddock joining. Use of an outside sire where disease control denies paddock use; semen can be collected off site and transported to the AI. All of the above reasons applied to fresh semen (other than the last) are applicable.
Laparoscopic insemination using either fresh or frozen semen is also the standard method of fertilising embryos in routine MOET (Multiple Ovulation and Embryo Transfer) programmes.
For the insemination of a group of ewes or does to take place on the same day, the oestrus cycle of the group must be manipulated so that ovulation occurs at a set time. Synchronisation is achieved by the use of a hormone containing intra-vaginal device and an injection of another hormone, PMSG (Pregnant Mare Serum Gonadotrophin). The injection of PMSG has two significant effects in females approaching follicle formation (the step in the cycle prior to ovulation). With control over the ovulation of the females, insemination of the group can be done at a set time. The females are taken off feed and water the afternoon before the insemination to reduce rumen fill. Following topical treatment of the abdominal wounds, the female is promptly released from the cradle, and she can return to feed immediately. For at least 60 days after the AI, females should not have any management procedure performed. LBS recommends scanning of the AI group so that multiple bearers can be separated and receive extra feed approaching and during lambing.
Compared to most species, controlling the oestrus cycle of does and ewes is very successful.
Good animal management and careful insemination with good quality semen frequently sees conception rates up to 80 - 90 %, and 100% conception has been achieved.
LBS prides itself on achieving the maximum conception rate in all circumstances, not in merely doing as many inseminations per day as possible.
A simple outline: A series of hormone injections are given to donor females, causing the release of multiple ova (eggs) at a controlled time.
As long as the donor has a healthy reproductive tract, and has achieved puberty, she is a candidate for ET.
Any history of infertility also increases the probability of getting a below average result. There is a genetic component in how each breed responds to the hormone given to stimulate multiple egg release (Follicle Stimulating Hormone, or FSH). 60 - 80% of good embryos should result in pregnancies, but recipient fertility and management is the key. Every recipient presented for implantation is laparoscopically inspected to ensure good uterine and ovary health. Sometimes too many embryos are recovered for the available recipients; excess good embryos can be successfully frozen, stored in liquid nitrogen and then implanted months or years later. Donors are given treatment at flushing to help the uterus and ovaries return to their normal state. A group of unselected donors (say 10 or more) should average 5 - 12 good embryos per donor with a 60-80% pregnancy rate in recipients. LBS has been performing ET programs for over 25 years, and uses the latest techniques and embryo medias to achieve the maximum result. After a pregnancy scare, Peter reluctantly agrees to get a vasectomy, but before the surgery, he goes to donate his sperm in case he and Lois want another baby. Meanwhile, Stewie has declared his rule over the Playground and all the kids have been forced to bow to him. Stewie infiltrates Bertram's camp in the center of the Playground, after defeating many of his playground guards, and engages him in a swordfight.
Designed by Deanna Roy after months of trying made her believe she had a fertility problem, the plan will help you time intercourse whether you have a typical or atypical cycle.
The health of the testicles is the major limitation to successful semen freezing, and that functionally remains largely unknown until semen is collected and analysed. As young as 8 months and as old as 14 years have given viable semen in enough volume to be freezable. This is because it is reasonably simple to train most sires, they can give multiple ejaculates on a single day, quality at collection is on average better than electro-ejaculated semen, and it is much less labour intensive for the AI centre than electro-ejaculation. With the AV at the appropriate temperature and pressure the sire will ejaculate almost immediately, and a collection glass in the AV collects the ejaculate.
It sometimes helps some shy rams or bucks if the teaser is in oestrus, which can be done artificially with a hormone injection. If either of these factors is lower than our set standards, the semen is discarded at this point. Using either dry-ice (frozen carbon dioxide) or liquid nitrogen vapour the semen is taken through freezing point, and then plunged quickly into liquid nitrogen (-196 degrees C). The pellet is a small pellet consisting of just diluted semen, and is created on indentations made on dry-ice. A pellet or straw is thawed, and microscopic assessment of the semen is done by a trained assessor. As sires are actually only working very lightly at a collection centre, and their fertility is being assessed constantly, most sires leave a centre in better reproductive health than when they arrive.
If he serves each female 3 times, after a few days his semen volume and density has dropped to the point where it would be quite unusable for freezing, but is adequate to get females pregnant. These diseases are Brucella ovis (the cause of Brucellosis in sheep) and Actinobacillus seminis.
Disease control measures and management with over 25 years experience in operating semen collection will ensure no risk to your sire. The laparoscope is a rigid fibre-optic telescope, which is passed through the abdominal wall. Semen can also be collected fresh from a sire on the day of AI, extended with a diluent, and then inseminated. Firstly, it causes a narrowing of the time span over which animals in the group will all ovulate. This is done at 48 to 56 hours after device removal, with some variation between different devices and dose of PMSG. After this, the pregnancy is reasonably strong, but remember that any drench or drug used that is embryo toxic can be devastating. Animals should be presented at AI in condition score 2 - 3 for AI, and rise slowly from the time of insemination to score 3 - 4 over the next 30 days. Avoid letting females become over-fat at any stage, but have good feed during the lambing period. The survival of twins and triplets depends on milk supply and birth weights, factors related to feeding. As a minimum we expect clients to mark the same percent of lambs or kids from their AI as they mark from their paddock joining. Fertilisation of these multiple eggs is achieved by standard laparoscopic insemination perhaps combined with natural service. Young animals, even as young as 8 months old, can be flushed successfully, but it is preferable to see a few natural cycles from a young donor prior to the commencement of a program. Sometimes valuable females are entered into a program for just this reason, but the result can be unpredictable.
Nil, one and two are very common recovery numbers, but usually this is balanced by one or two big responding donors bringing the average of the group to 5-12.
To ensure a maximum pregnancy result, any recipient looking less than perfect will not have an embryo implanted.
All embryos are damaged to some degree by freezing so this results in a slightly lower (5 - 10%) conception rate than might be achieved if the embryos had been implanted fresh. Results are improved by flushing a group and removing from future programs the poor performers.
Above all, LBS places a high priority on a careful surgical technique that will permit multiple flushes and the full future fertility of donor.
However, while donating his sperm at Quahog Cryolab, he accidentally knocks a large rack of samples over and replaces them himself so that he won't get in trouble. Bertram, leads a group of dissenting kids, and declares war against Stewie for rule of the playground. It includes adjustments for common fertility problems, what to do if you are over forty, and considerations for trying again after a pregnancy loss.
Without training, the very subjective decision of the percent alive is virtually meaningless. LBS owns no sires, nor any stud animals, and guarantees that you, the owner, retains all control over your sires genetics at all time. This allows the operator to locate the internal reproductive tract and then inject the semen into the lumen of the uterine horn. A normal ejaculate can inseminate up to100 ewes, and a sire may give 3 or 4 ejaculates on a day. Whilst in the vagina, they slowly release the active hormone, stopping the normal oestrus cycle. Through one of these, the laparoscope is used to visualise the uterus in the pelvic cavity. This recommendation is based on anecdotal evidence, and extrapolation of research on dairy heifers. Ewes lambing to a one day AI program will lamb over 7 or 8 days usually beginning about day 145.
If the group is not usually assisted, increasing your presence can create more problems than it solves.
Despite high quality semen, in some cases, especially large responses, fertilisation does not occur. The response by individuals is quite repeatable; if a donor gives a large number of embryos in one program, she is likely to respond well when re-flushed. One of the recipients of his sperm is a lesbian couple, who give birth to Stewie's half-brother Bertram, who appeared in "Emission Impossible".
After a fight between Stewie's fighter jet fleet and Bertram's helicopter forces proves inconclusive, Bertram resorts to biological warfare, infecting Stewie with chickenpox and taking control of the playground. Later in the night, Stewie and Christopher Moltisanti suspiciously dig a hole; which is later revealed to be for planting a young tree. When Peter ridicules her for the weight gain, Lois points out that he is way fatter than her but Peter blatantly says that men can't be fat. This booklet includes 40 pages of instruction plus a 10-page sneak peek of Deanna's book Baby Dust. The mix-up occurred because the hospital keeps handwritten records, which were likely misread, the lawsuit alleges.Cramblett, 36, didn't know about the error until she was already pregnant in April 2012 and decided to order more vials from the same donor, so she could have another child with her partner.
Stop gilding the lily with these tall tales of your community and your family.If they're really that shallow, you're better off without them.
Assessors judge the percent of forward motile sperm, and looks for any spermatic abnormalities. Ewes inseminated with the infective semen can then pass these diseases onto any rams that come into contact with them, particularly the back-up rams used after the AI.
When the device is removed after 12-14 days (longer in goats) and PMSG injected, the females all begin to cycle. We suggest that lucerne and clover dominated pastures should not be used, and cereals not legumes should be used as supplements following AI. The initial lambs dropped are usually the sets of multiples, with the single lambs being dropped last. They are microscopically examined, graded, and transferred as single or twins to the uteri of synchronised recipient females. Stewie's "supposed" girlfriend becomes Bertram's servant, and all the kids are subject to him. Angry at her husband, Lois' eating out of frustration turns into eating out of spite as she deliberately puts on more weight, eventually becoming about the same size as Peter, if not more. Strict limits are applied to both factors, and the Australian sheep artificial breeding industry has worked hard to set meaningful standards that ensure the semen released to the industry is never a limiting factor in AI programmes. Oestrus will occur 30-42 hours following removal of the sponge or CIDR with ovulation 50-62 hours post-removal. Predator control is essential, particularly if the AI group is lambing prior to general lambing. This booklet is a THANK YOU to all the women who have supported Deanna's web site since the loss of her first baby in 1998. Peter's interest is renewed, claiming it to be the hottest sex they've had yet and things heat back up, until Lois's unhealthy eating habits get the best of her. You don't need a degree in African studies to address the issue.The poor idiots can't figure out how to get the kid's hair serviced?
She suffers a heart attack, and during the surgery the doctor removes the fat to get to her heart and return her to normal. Lois says that you shouldn't eat to feel better about yourself, of course saying that to Meg instead of her actually obese son Chris to whom she compliments his hat. If white folks with curly hair are able to work it out, you can too.Phucking mouth breathers. Peter is found making out with the massive bag of Lois's removed fat, he tries to come up with an excuse before just admitting "Its exactly what it looks like".
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3 Auto Expos in a row with TATA Motors for Runtime Solutions at the Delhi Auto Expo. Starting from a fledgling team in 2014, braving numerous odds, technical challenges, killer deadlines and the bitter cold of Greater Noida, armed only with a dream and a burning desire to make a difference, we made it for the 3rd year in succession at this biennial event. It gave us a platform to shine and spread our wings and fly higher. The Auto Expo date also coincides with the Runtime anniversary making it a double celebration and giving us a platform to renew our commitment to quality, innovation and pushing the boundaries.


text:
Glenn Green
by drwalt | May 6, 2020 | In the News | 0 comments
UM inventors get assist from Snyder on new ventilator device
The Detroit News 4/27/20
A team from the University of Michigan has invented a device that allows multiple patients to safely use the same ventilator and has quickly made it available across the country with help from former Michigan Gov. Rick Snyder.
The device, called the VentMI, is a splitter that protects patients from cross-contamination while sharing a ventilator, and allows caregivers to adjust the settings to each patient's needs — solving two problems that have largely prohibited shared use of ventilators in the past.
Two ear, nose and throat doctors from Michigan Medicine and UM's C.S. Mott Children's Hospital conceived of the device on March 22 and obtained emergency use authorization from the federal Food and Drug Administration on April 10 — an astounding timeline for a process that normally takes months or years.
Dr. Glenn Green, a pediatric otolaryngologist at UM's C.S. Mott Children's Hospital, and Dr. Kyle VanKoevering, an otolaryngologist and head and neck surgeon at Michigan Medicine, posted their idea on Facebook in mid-March.
The post attracted the attention of Snyder, a UM alumnus who was a venture capitalist and chairman of the board of Gateway Inc. before serving as Michigan's governor from 2011 through 2018.
"(Snyder) called and we told him what we were doing, and he said 'This sounds important,'" said Green, adding Snyder volunteered to navigate them through the process. Neither the inventors, the university nor Snyder will make money off the devices since they'll be given at cost to hospitals that request them, Green added.
Read the full article by clicking on the title link.