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The Museum of Lincolnshire Life
"The Museum of Lincolnshire Life is very popular with locals and tourists alike .. It's a great place to bring the kids and there are always lots of activities for them to do"
Photo by Pixabay
The Museum of Lincolnshire Life, located on Burton Road, is just a few minutes' walk from Lincoln's castle and cathedral.
This excellent museum focuses on all aspects of life in Lincolnshire in byegone eras, and really is a fascinating way to spend a couple of hours.
Located in a former barracks, you enter The Museum of Lincolnshire Life through an impressive set of wrought iron gates and into the gatehouse – adding to the sense of anticipation of what is to come.
The Museum of Lincolnshire Life is very popular with locals and tourists alike (it is the largest community museum in Lincolnshire). It's a great place to bring the kids and there are always lots of activities for them to do.
As you emerge from the gatehouse into an enclosed courtyard that has a lovely children's play area AND some impressive agricultural machinery, you just know that you're in for a treat!
It's informative without being boring, and there are lots to see and do. The museum's staff are friendly, approachable and knowledgeable.
With a visitor satisfaction rate of over 96 per cent, The Museum of Lincolnshire Life is a 'must see' during your stay in Lincoln.
Don't forget to visit the brilliant Military Exhibition and see an original tank dating from the First World War or have a go in the excellent interactive Royal Lincolnshire Regimental Gallery!
The Museum of Lincolnshire Life has several fascinating permanent exhibitions including:
Agriculture & rural life
There are also temporary photography and art exhibitions taking place throughout the year.
Use the form to get in touch with The Museum of Lincolnshire Life
Old Barracks, Burton Rd, Lincoln, Lincolnshire LN1 3LY
5/8/17 10:00 am - 5/8/17 4:00 pm
From October to March, the museum is closed on Sundays.
Other places of interest...
The Collection Museum & Usher Art Gallery
Bailgate, Lincoln
Art Galleries, Museums
Lincolnshire Archives
Museum of RAF Firefighting
Lincoln, Scampton
Aviation Centres, Museums
The Guildhall
Historic Buildings, Museums


SEBASTIAN COUNTY (KFSM) -- The Sebastian County Sheriff's Office (SCSO) is investigating a shooting that occurred Tuesday (Dec. 12) night at a barn on the 5500 blocks of EchoRoad in Huntington.
The SCSO received a call around 10 p.m. Tuesday night from a property owner reporting he believed a prowler might be on his property and in his barn.
The caller then called a nearby family member to come to the barn and assist him. The family member spotted a person in the barn hiding between some pieces of equipment. Unsure of the person's intentions and if the person was armed, the caller's family member shot one round. The person in the barn was hit.
The person was then held at gunpoint until deputies could arrive. EMS was notified, and the person was taken to Baptist Health in Fort Smith. The person shot is still alive and could possibly have to have surgery due to the injuries he suffered. He has been listed in critical condition.
At this time no charges have been filed and or an arrest made. When the report is completed, it will be turned over to the Prosecuting Attorney for review, according to Captian Pevehouse with the SCSO.
Check back for updates to this story as more information is released.


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Archive for July 5th, 2012
Taxi Cab Driver Falsely Accused of Sexual Assault As Ploy to Avert $13 Cab Fare
Soner Yasa is a cab driver in Edmonton, Alberta, Canada, who experienced a horrific ordeal that presented a dire threat to his personal freedom. Yasa was falsely accused of a crime against women. As so many men experience, the police are ready and willing to abuse the actual victim of a crime and encourage future criminal conduct when the criminal is a dishonest woman and the victim is a man.
In Yasa's case, four drunk women reported to police that he had sexually assaulted them as a ploy to refuse to pay a $13 cab fare. It was only thanks to his cab's audio and video surveillance equipment that he was spared jail.
Destroying a man's life over $13
Yasa had picked up the four women outside a bar on Whyte Avenue. He says they hopped into his cab "uninvited" and then demanded to be driven to a residential neighborhood. At least one of the intoxicated women tried smoking in his cab. He told them they could not do this because it is illegal and could trigger a $500 fine. They demanded he stop the cab and refused to pay the $13 fare. The women then proceeded to falsely report their allegation of sexual assault to the police and to their friends and onlookers, allegedly triggering a mob of people to acting threateningly towards Yasa until police arrived and could investigate.
Civil Rights, Courts, Crime, Government Abuse, Legal, Police, Politics, Prosecutor
Alberta, Aly Ebrahimzadeh, California, Canada, Edmonton, gender bias, gender warfare, guilty by accusation, Iran, sexual assault, Soner Yasa, US
BPD Distortion Campaigns
Co-parenting With A Sociopath (Borderline, Narcissist, etc.)
Holding Family Law Judges Accountable
Sociopaths In Our Midst Hate the Truth and Its Advocates
Relationships and Divorces with Someone Who Suffers Borderline Personality Disorder
Stephen Doyne and San Diego Family Law Courts Under Fire
Why Is San Diego Judge Lisa Schall Still On The Bench?
Judge Diane E. Gibbons Confirms Herself An Enemy of Free Speech and Supporter of Abuse By Silencing The Psycho Ex Wife Website
Personality Disordered Abusers in Family Law Courts
How to Win Custody by Framing Your Ex for Child Sexual Abuse

redpajama_set_name: RedPajamaCommonCrawl


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The History of Facebook
The Early Days Of Facebook
Second Time Lucky
The Facebook Growth Model
The Five Dimensions Of Facebook
Facebook's Attention-based Business Model
Turning Data Into Money
Should Facebook Be Regulated?
Facebook Regulatory Issues
Master Practical Digital Skills with Exactimo
What are Sit-Up Statements?
Want Us to Deliver at Your Business School?
In 2020, Facebook reported a staggering 2.5 billion active monthly users.
What was once a pipe-dream in a college dorm, is now the largest social media platform on the planet — dominating the screens of over 22% of the world's population and generating over $70 billion in revenues a year in the process.
The phenomenal growth of Zuckerberg's billion-dollar empire has revolutionised the way people communicate and provided a treasure chest of opportunities for modern businesses.
Join us as we explore the bricks and mortar behind Facebook's unique business model and address the heated debate around the internet giant and its ethical responsibilities to regulate its social influence.
Before we get into the nitty-gritty of Facebook's business model, it's important to understand the company's origins and the core motivations behind Zuckerberg's thirst for global domination.
After establishing himself as an accomplished coder at school and turning down job offers from both AOL and Microsoft, the history of Facebook begins with Zuckerberg landing a place at Harvard University in 2002.
While you'd expect the fresh-faced undergraduate to enrol in a computer science degree and follow in the footsteps of almost all Big Tech CEOs, Zuckerberg majored in Psychology.
From the word go, he was fascinated by the human psyche, mapping social behaviours and using technology to create addictive user experiences. In his second year at Harvard, Zuckerberg launched his first attempt at a social network — Facemash.
Facemash was a controversial platform where fellow students could rate the attractiveness of their Harvard peers. After receiving over 22,000 photo views in just hours of launching, Zuckerberg's dreams of becoming the next big thing were crushed when the site was shut down a few days later.
Struggling to motivate yourself with job or university applications? Check out this video of 15-year-old Zuckerberg finding out he's been accepted into Harvard.
Unperturbed by his first failure, Thefacebook was launched in February 2004. Initially, access to the rudimentary social network was limited to users with a Harvard email address — 50% of whom signed up in the first month of the launch. A few months on, Thefacebook took off like wildfire and universities across North America were itching to create an account.
By June 2004, Zuckerberg set up shop in California where he could get his hands on his first round of investment. As the social network continued to thrive, Zuckerberg decided to open membership to the masses in September 2006. After dropping the 'The', Facebook became an international sensation and grew in sophistication.
As Facebook continued to attract new sign-ups, Zuckerberg added fuel to the fire by acquiring other technology businesses in the social networking space.
Instead of targeting smaller businesses that could merge with Facebook's existing platform, the tech giant scaled vertically by buying its competitors. The acquisition of Instagram for $1 billion in 2012 and Whatsapp for $19 billion in 2014 was the beginning of Facebook's growing social media empire.
Zuckerberg wants to have a finger in every pie. Acquiring a range of different social networking platforms means Facebook has the versatility to cater to a range of audiences and benefit from economies of scope to accelerate technical developments.
Zuckerberg's multi-billion dollar shopping spree means there are now five strings to Facebook's bow:
Facebook is the company's backbone — a place for friends to connect, share and even sell/buy on the Facebook Marketplace.
WhatsApp is a secure and reliable platform for users to connect with friends across the world. Share photos, videos, messages, audio notes and even your live location in the click of a button.
Instagram is a place for users to share visual stories with friends through beautiful photos and short videos. When Snapchat rejected Facebook's acquisition offer of $3 billion in 2013, Zuckerberg responded by integrating a similar 'stories' feature into Instagram.
Messenger provides a free and accessible messaging platform for users, groups and businesses to connect across a range of platforms.
Oculus is the most unexpected ingredient in Facebook's recipe for success. Oculus develops cutting-edge virtual reality technologies to create fully-immersive experiences. Zuckerberg hopes the venture will lead to exciting applications for learning, gaming and connecting with others in a virtual environment.
Together, these five dimensions give Facebook the scope to dominate the social networking sector and engage with billions of users across a multitude of applications.
While the likes of Google, Amazon and Apple found their fortune through multiple channels and creating captive ecosystems to win customer loyalty, Facebook's business model has taken a very different approach.
Zuckerberg's social media obsession is fuelled by the ability to monetise human attention spans and create a virtuous cycle of user-generated content. Instead of selling products or services directly to customers, Facebook uses social media to provide engaging and addictive services that grab the world's attention.
Essentially, Facebook is a giant marketing machine. Much like babies cry to summon their mothers, the social media giant uses a cocktail of photos, posts, likes, videos and messages to win more screen time.
So, how does Facebook make money from data? Facebook's attention-based business model is fuelled by a four-step process:
Data Harvesting
Active users provide Facebook with a smorgasbord of personal information. Whether it's tracking your location or using facial recognition to map your close circle of friends, Facebook can monitor your behaviour through millions of data points.
User data serves as the fuel for the Facebook algorithm which processes each snippet of information into meaningful insights. Facebook combines these insights to paint a detailed picture fo your life.
Selling Targeted Ads
Facebook uses these insights to sell businesses hyper-targeted ads. While traditional advertising would narrow its audience by placing a billboard in a particular part of town or showing TV commercials at a strategic time of night, Facebook allows businesses to target specific customers with incredible precision.
For example, let's say you're promoting a female-only salsa class for people aged 55+ living within a 5km radius of the town hall. Facebook ads mean you can double-down on these specific criteria and maximise the efficiency of your marketing campaign.
Generating Engagement
Ads serve as the bread and butter of the Facebook machine. Paid posts fill users' timelines with relevant content that is tailored to their individual preferences and behaviours. Users then interact with these posts by sharing, liking and commenting.
Social media timelines provide users with endless entertainment through an infinite scroll on engaging content. Many platforms use tactics from the gambling industry to create an addictive user experience that keeps us glued to our screens.
This engagement fuels yet more activity and provides Facebook with a virtuous cycle of data that feeds back into its algorithm.
Unless you've been living under a rock for the past few years, you'll be no stranger to Facebook's ongoing battle with data harvesting and regulatory issues.
With the core premise of Facebook's business model revolving around data and collecting personal information for financial gain, Facebook was bound to raise some eyebrows. The company's aggressive and off-the-wall approach is something governments and regulators struggle to contain using the existing rulebook.
Despite Facebook's efforts to embrace data privacy through full end-to-end encryption on Whatsapp and transparency measures via the Off-Facebook-activity tool, the multi-billion dollar giant faces its fair share of criticism from Big Tech regulators.
Zuckerberg's rapid rise to fame has triggered wide-spread panic and apprehension as people try to make sense of what Facebook is trying to do, why this could be damaging for society, and how regulators can control the growth of social networks in a responsible and sustainable manner.
"When you give everyone a voice and give people power, the system usually ends up in a really good place. So, what we view our role as, is giving people that power." - Mark Zuckerberg
While the techie maverick sounds like his heart's in the right place, many regulators are concerned that Facebook could grow into a toxic machine that could spread fake news, distort public opinions, and monopolise an entire industry.
There are three focal points in the ongoing debate around regulating Facebook:
1. How Does Facebook Regulate Content?
One of the biggest concerns for regulators is knowing how to control and monitor the spread of fake news across social media. For years, Facebook has tried to dodge this bullet by defining itself as a tech platform, not a publisher or media company.
This definition gives Facebook the freedom to facilitate the sharing of information, without adhering to strict publication laws and media privacy standards.
Following a tidal wave of fake news in recent years, many regulators pin the blame on Facebook for circulating irresponsible and misinformed content.
2. How Does Facebook Sell Information?
As Big Data helps tech firms build sophisticated customer profiles and curate what we see online, many regulators are concerned about the manipulation of personal information for illicit activities.
Zuckerberg's biggest roadblock to date was the 2018 Cambridge Analytica scandal. The tech giant was accused of allowing Cambridge Analytica to harvest the data of millions of Facebook profiles without user consent and then using it for political advertising in the 2016 US Presidential Election.
When the scandal was announced on 17th March 2018, Facebook's market capitalisation sank by $119 billion in a matter of days and Zuckerberg was forced to testify in front of the United States Congress.
3. Is Facebook A Monopoly?
The acquisition of competitor social networks, such as Instagram and Whatsapp, raise questions over how regulators can control the growth of Big tech firms like Facebook.
Many fear of Facebook stunting opportunities for smaller startups to grow and disincentivising innovation. Facebook has a track record of buying the best ideas before they have time to fully blossom as a stand-alone company.
As the social media empire begins its latest venture into cryptocurrency with the launch of Libra, concerns around unfair power and monopolistic control will be a hot topic in years to come.
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During the workshop, we'll provide you with an armoury of sit-up statements or 'nuggets of gold' that will impress interviewers when it really matters.
Our 'sit up statements' are designed to immediately signal interest and mastery of a given topic. Our pearls of wisdom have helped many attendees land big tech jobs at Google, Facebook, Amazon or at emerging startups.
Don't get left behind — get digital fast.
If you'd like to get your hands on our exclusive training, fill in your details below and we'll get back to you within 24 hours to arrange a bootcamp.
And if you're interested, we've also deconstructed Amazon's Business Model and Google's Business Model.


Hey isn't that . . . Jonathan Cheban at Filomena Ristorante and Farmers & Distillers?
Cheban, a.k.a. Kim Kardashian's bestie and "Keeping Up With the Kardashians" regular, hit the two Washington eateries on Friday. The former publicist turned reality persona turned his personal Instagram account into a page for foodies in 2017. Under the alias "Foodgod," he has documented his elaborate meals across the globe.
Cheban shared a post on the social media outlet of himself at the Chinatown-area joint Farmers & Distillers holding four ice cream cones. "I couldn't decide which flavor so I got all 4 🍦!!," he captioned it. "Anyone else have a hard time deciding??" He later stopped by Georgetown's Italian hotspot Filomena, where he shared a video of a woman making pasta in the front window.
I couldn't decide which flavor so I got all 4 🍦!! Anyone else have a hard time deciding??
It turns out Cheban was in D.C. to do more than take pictures of his food: According to his publicist, he had a meeting with a local organization about a potential food program for the needy. While she played rather coy on the details, she did mention its proposed name: Foodgod 2019. Seems like Cheban is following in the footsteps of his famous bestie and her sister Kourtney, who paid visits to the nation's capital this year to advocate for prison reform and cosmetics safety, respectively.


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Q: How to split by "" in python So, I need to change a string e.g. STRING and change it into ['S', 'T', 'R', 'I', 'N', 'G']
So far, I've tried the following:
o.split('') and o.split()
how would I go about doing this?

A: Simple, as follows:
my_str = 'STRING'
chars = list(my_str)

redpajama_set_name: RedPajamaStackExchange


No one pours new wine into old wineskins. Otherwise, the wine will burst the skins, and both the wine and the wineskins will be ruined. No, they pour new wine into new wineskins.
the exploding marketplace for data enrichment.
apply powerful computational techniques to the resulting enriched dataset to produce case-specific models that improve substantially on the generalities of industry best practices.
We now consider each trend in turn, and illustrate its impact with recent examples from several industries.
Over the last two decades, most peer-reviewed research and professional publications have gone online. While online journals frequently require subscriptions, it is no longer necessary to visit a library to access journals. Moreover, most journals make article abstracts freely available. Google scholar tracks how often each article is cited, which is a quick and fairly reliable indicator of article importance (at least when time since publication is accounted for!). Likewise, Google has now accumulated over 10% of the world's literature online. All U.S. patents, federal, and state case law are available on Google. Many technical books are available in softcopy, and Amazon sells more e-books than printed books.
All of these changes, coupled with search engine technology, mean a competent researcher can very quickly survey the literature relevant to a specific data science challenge. Such a survey reveals which variables and algorithms appear in state of the art methods. For example, one of Mosaic's data scientists recently surveyed in a single afternoon the entire literature (about 100 articles) related to a specific social-science problem. The survey discovered the variables and model structures in the state of the art approach to the problem, as well as the areas of active research. In another case a Mosaic data scientist surveyed the hurricane-modeling literature, to discover how weather researchers currently model hurricane behavior. That survey took a couple of days, and the researcher soon improved on the state of the art by discovering a hitherto unrecognized variable with far more predictive power than variables in published models.
In short, the general availability of research and professional literature lets a data scientist quickly learn which variables an industry considers important for a given problem, and also to mine the relevant literature for previously undiscovered relationships. These activities combine with the other trends we outline below to create new knowledge—when the data scientist approaches the problem as an industry novice, aware that he or she must review and perhaps mine the literature. On the other hand, subject-matter experts must first become willing to set aside their expertise, to leverage the research and professional literature in hopes of improving on the state of the art. And subject-matter experts often lack the technical expertise necessary to use text mining to extract knowledge from a domain literature.
In the early days of expert systems, an expert system was considered a success if it performed as well as a human expert in a field requiring years of training. The classic example is MYCIN, an artificial intelligence medical application developed in the 1970s at Stanford University. MYCIN recommended appropriate treatment in 69% of cases, slightly improving the performance of human experts facing the same diagnostic and therapeutic tasks. Current generation expert systems significantly improve on expert human judgment. For example, decision support systems (DSSs) created by Mosaic to guide certain air-traffic control decisions improve on the baseline unguided decisions by reducing delays up to 78%, even though Mosaic's data scientists have never served as air traffic controllers. Another expert system designed by a Mosaic data scientist reduced two years of expert programmer work to a single person day of non-technical business analyst effort, even though the data scientist had only a general knowledge of the underlying business domain.
Likewise, even decades ago human experts could not quantify the risk related to random phenomena such as severe weather events or fatal diseases nearly as well as the best scientific models. Optimization in the presence of multiple sources of uncertainty has always been a practical impossibility for domain experts. Mosaic data scientists have contributed to the state of knowledge in this area for many years.
Dimensionality reduction techniques have recently evolved to support datasets containing thousands of variables.[vi] These techniques let data scientists evaluate far more possible combinations of variables than any expert might contemplate, let alone evaluate.
nonparametric methods such as local regression[xi].
Nonlinearities are difficult for subject-matter experts to intuit or recognize, and yet nonlinearities are often a key to obtaining high model power.
Ensemble methods based on techniques such as boosting[xiii], bagging[xiv], and Bayesian model averaging[xv] let a data scientist combine many (perhaps hundreds) of weak models into a single powerful ensemble model.
The result of the recent proliferation and broad publication of advanced analytical techniques, combined with the other trends this document cites, is that a data scientist can build a more powerful analytical model tailored to a specific organization's exact place in the data landscape, including its customer base, market niche, cost structure, technologies, etc. Until recently the best a consultant could do was bring to bear a far less analytically powerful and far less specific model developed by a subject-matter expert such as a business-school professor. Models that account for your organization's specifics will always be at least as powerful as canned, general-purpose models, and usually will be substantially better.
Computers continue to obey Moore's law, which predicts that in a certain sense, computing power doubles every two years. Computer networks have also become faster by several orders of magnitude, and computer storage systems likewise have increased their capacity exponentially. The result of these trends is that even modestly sized businesses can afford to purchase or rent (in the cloud) enough computing power to run sophisticated predictive and prescriptive analytics, decision automation systems (DASs), and telematics systems in real time, to model very specific phenomena (such as the behavior of individual customers, motor vehicles, or stocks). These systems frequently far surpass in economic productivity the decisions of domain experts.
In these and similar cases, the combination of highly case-specific data and models, powerful computing and telecommunications technology, and advanced analytical techniques lets data science far surpass domain experts possessing more general knowledge and data. Domain experts simply can't collect, sort through, and analyze data as quickly and accurately as a state of the art model armed with case-specific data.
The competitive advantage of these and similar firms lies with their data collection and analysis expertise—not their familiarity with traditional industry models. Mosaic's list of online data sources suggests how frequently a data scientist can enrich an organization's internal data with detailed third-party data to create powerful, case-specific models of consumer, competitor, or market behaviors. Traditional industry expertise often fails to anticipate or account for the possibilities represented by these newly available third-party datasets.
What Kinds of Expertise Should One Seek in a Data Scientist, Then?
modeling literacy—a general understanding of the data science development process, together with a working knowledge of current techniques for data preparation, data exploration, variable selection, text analysis, classification, prediction, optimization, etc.
exercises good judgment about how much resource to devote to each data science activity on a given project.
A good data science team does all of the above, and includes a diversity of analytical, business, and organizational expertise appropriate to a project's customer and domain.
So, when you're shopping for a data science consultant, look for the above qualities, rather than domain expertise. Regardless of the fields of application where a good data scientist has made their mark, her or his project work will demonstrate the above desiderata, translating them consistently into substantial returns on investment. Whether you're selling books online, saving lives in the air, or discovering profitable linkages between protein molecules, once you translate the business problem into data, the rest of the exercise is mostly computation. And the data science design patterns are the same, regardless of where you apply them.
[i] J.H. Hammond, "Quick Response in the Apparel Industry," Harvard Business School Note N9-690-038 (1990).
[ii] Jennifer Neville and David Jensen, "Relational Dependency Networks," Introduction to Statistical Relational Learning, Lise Getoor and Ben Taskar, eds. (MIT Press, 2007), pp. 258-260.
[iv] Another prominent area of application where quantitative methods have for decades surpassed the performance of traditional subject-matter experts is securities trading. James Owen Weatherall, The Physics of Wall Street: a Brief History of Predicting the Unpredictable (Mariner Books, 2014).
[v] John Elder et al, Practical Text Mining and Statistical Analysis for Non-Structured Text Data Applications (Elsevier, 2012).
[vi] See endnote xvi of our "Combining Source Variables" design pattern for this literature.
[vii] John Shawe-Taylor and Nello Cristianini, Kernel Methods for Pattern Analysis (Cambridge, 2009).
[viii] Daphne Koller and Nir Friedman, Probabilistic Graphical Models: Principles and Techniques (MIT, 2009).
[ix] B.D. Ripley, Patttern Recognition and Neural Networks (Cambridge, 1997).
[x] James C. Spall, Introduction to Stochastic Search and Optimization (Wiley-Interscience, 2003).
[xi] Myles Hollander et al, Nonparametric Statistical Methods (Wiley, 2014).
[xii] William M. Bolstad, Understanding Computational Bayesian Statistics (Wiley, 2010).
[xiii] Robert E. Schapire and Yoav Freund, Boosting: Foundations and Algorithms (MIT, 2012).
[xiv] Zhi-Hua Zhou, Ensemble Methods: Foundations and Algorithms (Chapman & Hall/CRC, 2012).
[xv] Gerda Claeskens and Nils Lid Hjort, Model Selection and Model Averaging (Cambridge, 2010).
[xvi] Viktor Mayer-Schonberger and Kenneth Cukier, Big Data (Eamon Dolan, 2014), pp. 51-52.
[xvii] Big Data, pp. 59, 128; "Telematics Usage in the Fleet Industry Survey Results" (Donlen, 2012) (visited April 5, 2014).
[xviii] Big Data, pp. 92-93, 136.
[xix] Big Data, pp. 56-57.


Want to survive tough times? Just manage your business as Ohio Savings did. . . as if someday you had to hand it over to your kids.
p>There was little to hold them back. After Congress loosened the regulatory reins in the early eighties, savings and loan executives leaped onto the same high wire as the rest of the financial community, investing in junk bonds and speculative real estate deals. Returns of 15 percent and more were too enticing for them to turn down.
Then there was Bob Goldberg. Boring Bob Goldberg, or at least it seemed so back then.
Goldberg, 52, is president of Ohio Savings Bank and one of three brothers who run the Cleveland S&L. Through their family, the brothers control 65 percent of the closely-held bank which, with nearly 1.55 billion in assets, ranks as the 160th largest S&L in the country. At the same time that other bankers were scrambling for the highest yields, Goldberg was pushing himself away from that table full of goodies. Determined to protect the bank against volatile interest rates, he was selling off fixed-rate mortgages at 13 percent and reinvesting the money in variable-rate loans at 10 percent. This alone cost the bank about $6 million in one year. "It was a hell of an insurance policy to pay against rising rates," says Gerald Goldberg, Bob's 49-year-old-brother and executive vice-president of the thrift.
If the premium was steep, a lot of unemployed bankers these days probably wish they'd paid it, too. As the chart below shows, Ohio Savings Bank has maintained vigorous results while the rest of the industry has headed for intensive care. It's 0.68 percent return on assets in 1989 ranked it 38th among the 237 S&Ls with assets of more than $1 billion. It ranked fourth in net interest margin.
How did Ohio Savings turn away from temptations that other banks found irresistible? By managing the business for the long term, as if someday it would be handed over to the kids.
In the Goldbergs' case, that was literally true.
On the wall in Bob Goldberg's office is a page from the family album, a picture of a fruit store in Cleveland. It was purchased by his father in the twenties with a mortgage from Ohio Savings Home Loan and Building Association Co. In 1961, the family bought the bank.
Those were good days for S&Ls, and for the Goldbergs' new venture as well. You didn't have to be a genius to run a profitable S&L at that time. Protected by government regulation from the vicissitudes of the marketplace, S&Ls were a low-risk business that enabled generations of Americans to buy their homes. For industry executives the 3-6-3 rule prevailed: pay depositors 3 percent, charge mortgagees 6 percent, and meet at the golf course at 3 p.m.
That formula worked well enough until the late seventies, when inflation pushed short-term interest rates as high as 20 percent. Stuck with fixed-rate mortgages in the single digits, most S&Ls moved into the red in the early eighties. To help the industry become more competitive, Congress phased out the limit on the interest they could pay depositors and, step by step, freed them to invest in commercial real estate and a wide array of financial instruments.
Coming as they did in the fastest of Wall Street's go-go years, these new freedoms brought temptations that were too difficult for most S&Ls to resist. Junk bonds at 18 percent, shopping centers and office buildings built with tax laws rather than tenants in mind — all deals meant to make a quick killing. With little of their own capital invested, and the Government insuring the depositors' money, most industry executives had little to lose.
Not so the Goldbergs. "When my brothers and I make business decisions, we are dealing with a lot of other family members' money," says Bob Goldberg. "We're not trying to build a business so we can sell it for a profit. This is a family company and we wanted to keep it in the family for the next 100 years, so we tended to take a more conservative approach than many other savings and loans.
"Our father taught us that the business must be maintained for the good of the whole family. We could see that the strategies other savings and loans were taking meant assuming higher risk loan portfolios and we did not want to do anything that would jeopardize the financial stability of our bank or our family's welfare. There's three of us here, but we have a lot of people in the family for whom we work — 23 of us, including our mother."
While other thrifts took off on a ballistic expansion, the Goldbergs cut back on their marketing and loan operations and eased the personnel into other departments. They stopped writing fixed-rate mortgages and sold the ones they had, even if it sometimes meant taking a modest loss. They concentrated on adjustable-rate mortgages that allowed them to match these investments to the current cost of deposits. They tightened their credit standards and worked only with the very best credit risks. Every time loans were repaid, they took the cash and repaid their own high-cost loans to the Federal Home Loan Bank.
The strategy had an immediate negative impact on the bank's earnings. Early paydown of FHLB loans carried penalities. I remember writing a check one year for over $700,000 in penalties," says David Goldberg, also an executive vice-president at Ohio Savings, and the youngest brother of the trio at age 46.
"We had some employees and a few outside directors who were concerned. They were looking at other S&Ls who were busy expanding. But most were with us," says Bob.
"Never again did we want to be vulnerable to rising interest rates. The only way to do that was to forego current earnings, even penalize them, in a determined effort to improve the bank's balance sheet by matching the return on investments to the current costs of deposits on an ongoing basis."
"Our adjustable rate portfolio is one of the best matched in the country," says Gerard Goldberg. "We can't get hurt by either rising or falling rates."
Simple survival wasn't the only goal that motivated the Goldbergs. They wanted the bank to grow as well.
But not at any cost. They grew the old fashioned way, by identifying promising niches and taking prudent risks. The brothers expanded their operations to a lucrative new market, Florida, and took a small but profitable bite out of the credit card business of Citicorp, the largest card issuer in the world. "They are a curious blend of conservative and aggressive," says Richard Osborne, an Ohio Savings director and executive dean of the Weatherhead School of Management at Case Western Reserve University in Cleveland. "They are determined to add value to shareholders, but they are very conservative in the way they do it."
Their acquisition of Palm Plaza Savings Bank (since renamed AmTrust Bank) in Florida in July 1989 is a prime example of the brothers' style. They agreed that future generations of the family would benefit from a broader geographic base that included the Sunbelt. They considered Florida and Georgia. But one opportunity after another was weighed and then dismissed.
Finally a small thrift in Florida became available. Ohio Savings was already familiar with the area as a result of some loans it made to a developer there. When the Goldbergs acquired the Florida thrift, it was in poor shape: Its deposits totaled $32 million, largely from high-cost brokered funds, and operations were losing $20,000 per month. But the brothers were convinced it was the least risky means of entering that market.
"Lowest cost means lowest risk," says Bob, "and this was cheaper than chartering a new bank. We had enough confidence in our marketing ability to think we could build it up fast."
The Goldbergs moved quickly to consolidate their new southern beachhead. They shed unprofitable deposit accounts by cutting rates drastically. Bob wanted to start advertising and promotions immediately, but his brothers thought it better to wait and invest in advertising when it would benefit all three of the bank branches that were planned. "So we waited," says Bob.
By December, the new bank was breaking even, although it had only half the original deposits. Once they had this profitable base, the Goldbergs added another branch in March and a third in April. Now supported by an advertising campaign, the branches are busy making loans. Within 10 years, they hope to have a Florida operation that accounts for 10 percent of Ohio Savings' business.
Their credit card business shows that a low-risk approach can also be truly innovative. The Goldbergs' S&L was the first Ohio thrift to introduce credit cards. In the early years it was just like any other bank card: standard 18 percent finance rate and $25 annual fee. Their credit card portfolio earned standard profits and languished at a modest $5 million.
Looking for a way to grow without incurring a lot of credit risk, the brothers decided to lower their rate from 18 percent to 14.75 percent and drop the annual fee from $25 to $18. That strategy, they figured, would probably draw enough new accounts to double their portfolio and still maintain level profits. The key was to control the losses through stringent credit standards. Relying only on a gut feeling, the brothers decided that the way to do this was to market the card only to people with good credit histories who rely on credit card debt regularly. The "hook" would be to offer them a chance to "refinance" these loans at a lower rate, as many S&Ls did when they advertised the refinancing of mortgages.
They took dead aim on the big national commercial banks such as Citicorp that were charging up to 19 percent. The response was overwhelming: In three years, Ohio Savings' credit card portfolio has surged to $150 million, its Visa and Master Charge cards are used by one out of four households in their market, and the card received recognition as "one of the best deals in the country" by national publications such as Money and Bank Rate Monitor.
The new credit card portfolio is even more profitable than most, since they only market to "revolvers" — credit card holders who do not pay down their debt immediately but are always paying interest. Nearly 90 percent of its credit card holders are revolvers, versus a more normal 66 percent.
The Goldbergs keep waiting for competitors to take aim on the niche they've created. A few other thrifts have made failing attempts. The banking giants can't — they would have to generate huge numbers of new accounts to cover the costs of cutting returns by several percentage points on their already giant portfolios. "Not bad for a move whose downside was the initial advertising expense and the loss of a few percentage points of profit on the $5 million portfolio," muses Bob today.
In typical fashion, he also sees insurance value in the credit card portfolio. "Our cardholders can't get a better rate anywhere. So if the bank ever runs into hard times, we can raise rates by as much as 2 percent and still be below market."
While Bob Goldberg sits atop the organization chart, he doesn't run the show by himself. All three brothers must agree before the bank can make a big strategic move into Florida or into a new segment of the credit card business.
No votes are taken, no hands are raised. If even one brother feels uncomfortable about an idea, it's vetoed. They pride themselves on the fact that they do not argue or try to convince a dissenting brother about management decisions.
The three brothers work closely together. In fact, their offices are within 50 feet of each other. There's no need for planned meetings because they see each other several times a day to discuss business. Memos to each other consist of brief, handwritten messages, such as "Let's get together to discuss the Florida operation."
Each has his primary areas of responsibility with complete authority to act alone: David handles operations, including branch administration, personnel, and data processing; Gerry handles marketing, lending, and legal functions; Bob is responsible for audit and accounting, and works with the largest borrowers.
"We don't discuss 90 percent of our daily decisions," says Bob. "We don't get together unless someone wants to do something major, or stop doing something, or there's some question in that person's mind. Then we sit down and discuss it."
When needed, the discussions are short. "As kids, we did everything together. I slept in Bobby's room for eight years," says Gerry, "and then in David's — so we know each other well. And when three people work together as long as we have, we can sit down together at a meeting and know exactly how the other person is thinking."
What they'll be thinking about in the year ahead is the possible purchase of insolvent thrifts from the government's Resolution Trust Corp., the new entity set up by the bailout bill passed last August. So far, they've done nothing more than pay $7,500 for the lease and fixtures of one S&L, which they turned into another Ohio Savings branch.
They've made a few unsuccessful bids for distressed thrifts that are on the block. "Not aggressive enough," says Bob. It's more likely that, for a group of bottom fishers, the market hasn't quite hit bottom. It all goes back to the basic idea of taking prudent risks in pursuit of opportunities that can pay dividends over generations.
"Part of the reason Ohio Savings resisted the temptations that other institutions succumbed to is the Goldberg brothers' ability to adopt a long-term horizon in the context of a life-long family business," says outside director Osborne. "When your own net worth is at risk, you treat business decisions in a different light." — F.B.
The savings and loan debacle is going to be with us for a long time. The numbers are staggering. Of the nation's 2,878 S&Ls at the end of 1989 (already down from 3,246 in the past four years), 700 are insolvent and have to be merged, sold, or put under government conservatorship. The industry continues to pile up losses at an estimated $5 million or more a day. Losses hit a record $19 billion in 1989, up 43 percent from the already astounding loss of the year before, Many experts say that the cost of the government's bailout of the industry will far exceed the official estimates of $50 billion through 1992, and as much as $300 billion to $500 billion over 40 years. One study calculates a cost of $1.4 trillion over 40 years.
Other costs are even more unfathomable: the rise in interest rates caused by the huge sales of government bonds to finance the bailout; the impact of the forced sale of huge chunks of real estate now owned by the government; the scandals and influence-peddling that are coming to light; and the creation of a huge new bureaucracy in Washington to mess with the mess.
Ohio Savings assets have fluctuated. . . while nationally, assets have risen sharply.


Connecting to Nature. Get Outside or Paddle the Rouge with us.
Ontario polar bears-world's most southern population.
Boreal peatlands store more carbon than the Amazon. Help cool the planet.
Water sustains us. Gives life. Through us all - water.
From the Hudson Bay Lowlands to the Great Lakes, it starts with travelling the land.
It all comes down to where, how and how much development. Getting it Right will change our future.
Good Forestry is built on science, know-how and experience.
Irresponsible Development. Rolling over Nature.


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New Galleries in the Region
Pictured above: Studio 89, Highland
Turns out, although the pandemic was terrible for just about everyone and everything, it catalyzed a mini-renaissance in the Hudson Valley art scene. In the past 18 months, a dozen new art galleries have opened up. This has helped the wave of urban expats moving here who want to furnish their new homes with work from the region's talented artists. It's also been a boon for local art patrons and art-loving visitors. Galleries are thriving! Here are a handful of recent additions to the art scene not to be missed.
Fridman Gallery Beacon
In 2013, Iliya Fridman founded the Fridman Gallery on the Lower East Side, bringing together contemporary artists working across a wide range of disciplines. Feeling the space constraints of his Manhattan gallery, in May, Fridman opened a second location on Main Street, Beacon, further enriching the small city's already-vibrant arts scene. Working in mediums from painting and sculpture to video and sound art, the gallery's artists are diverse in both cultural background and personal style. Fridman aspires to curate shows that include emerging artists as well as established mid-career artists.
Shakespeare's Fulcrum Hudson
Actual Art pioneer Tery Fugate-Wilcox first opened his transient gallery space, Shakespeare's Fulcrum, beneath the Guggenheim Museum in 1993. In April 2021, the concept reemerged on Hudson's Warren Street. Deemed a performance, art, and culture space, the new five-year popup gallery highlights the collaborative and evolving nature of art showcasing new artists. The 2,800-square-foot gallery is curated by its participants, inviting cross-pollination and fostering an environment in which artists of various backgrounds align their aspirations. Through a collaboration with the Hudson Culture Coalition, Shakespeare's Fulcrum will also be raising money to preserve historic Hudson and promote the importance of culture in the greater area.
Foreland Catskill
On the bank of Catskill Creek lies a vast, 85,000-square-foot art campus known as Foreland. Throughout the Civil War, the Foreland mill buildings manufactured uniforms for Union Soldiers. Although the buildings remained lifeless for over a century following the war, they were recently transformed into spaces where contemporary artists could work and ultimately share their creations with the public. Founder Stef Halmos, who works primarily in sculpture and photography, was discouraged by New York City's lack of affordable workspaces, inspiring her journey to find/create/revive a collaborative and accessible space where art can spring to life. The building contains artist studios, maker spaces, and galleries.
Studio 89 Highland
With a vision to connect art and the larger community, Studio 89 triples as a gallery, shop, and artist-run workspace. Located in Highland, the setting encourages collaboration amongst creative individuals, providing a dynamic environment in which artists can socialize and present their works. The compact, intimate space seeks to provide creative community members with a place to gather and turn mere ideas to art, which appears to attract college students and recent graduates in particular. Each month features shows from emerging local artists.
Art Sales & Research Inc. Clinton Corners
Art Sales & Research doubles as a gallery and consultancy, specializing in the research and sales of high-end, privately owned art. Located in an eccentric 200-year-old barn space in eastern Dutchess County, the Hudson Valley gallery features post-war, contemporary, and outsider artists. Shows in 2020 displayed selected works from the spectacular New York City-based artists Marilyn Gold and Manuel Pardo. The gallery at Art Sales & Research is currently open by appointment only.
West Strand Gallery Kingston
Located on Kingston's waterfront, West Strand Gallery, founded by artists and spouses Isabel Alvarez and Julio Nazario, features group and solo exhibitions arranged by various guest curators. Exhibits span media, including painting, photography, installation, and video. Alvarez and Nazario hope to amplify the community's exposure to unknown and emerging artists in the city creating an inclusive space that represents diverse identities in the art world. With their backgrounds in academia and visual arts, the couple have shared a vision of opening an art gallery in Kingston for years.
Geary Millerton
Founded in 2013 on the Lower East Side, Geary displays the works of budding and mid-career artists. The Millerton location was unveiled in 2020 as an upstate extension of the Manhattan space. Recent exhibitions has featured such Hudson Valley heavy hitters as Scott Alario, Eve Biddle, Olivier Catté, Lisa Corinne Davis, Catherine Haggarty, Christopher Saunders, and Ping Zheng in the gallery's storefront on Main Street in Millerton.
Also in this Issue:
Stay Awhile
A Feast for Winter
What's Brewing
All Downhill From Here
Fall Fun on the Farm


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Q: how to increase heap size of java cache memory I'm using berkeley db java edition (Base api) to insert 5 lack rows to db database I already inserted 1000 rows in 200 ms bt i m getting problem in inserting 5 lack rows so i think there is something some paramaeter to set in EnvironmentConfig class or dbconfig class
error like:
Exception in thread "main" java.lang.OutOfMemoryError: Java heap space
    at java.util.Arrays.copyOfRange(Unknown Source)
    at java.lang.String.<init>(Unknown Source)
    at java.io.BufferedReader.readLine(Unknown Source)
    at java.io.BufferedReader.readLine(Unknown Source)
    at WriteDataBase.main(WriteDataBase.java:29)

A: You just need to increase the maximum heap size of your JVM.  Add -Xmx512m to your startup options.  For example, if your application is in a jar file:
java -Xmx512m -jar yourjarfile.jar

Or if you are executing the class directly:
java -Xmx512m com.whatever.YourClassName

The 512m means to set a maximum heap size of 512 Megabytes.  That may be too big or too little, depending on your application, so you will need to experiment.


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Adolf Šlár (* 14. Februar 1919; † 7. April 1987) war ein Tischtennisspieler aus der Tschechoslowakei. Er war Weltmeister im Doppel und mit der tschechoslowakischen Mannschaft.

Mit 16 Jahren gewann Adolf Šlár die nationale Meisterschaft. Zwischen 1936 und 1955 nahm er achtmal an Weltmeisterschaften teil. Am erfolgreichsten war er bei der WM 1947 in Paris. Hier wurde er Weltmeister im Doppel (mit Bohumil Váňa) und mit der ČSR-Mannschaft. Im Mixed gewann er Silber (mit Vlasta Depetrisová). 1954 wurde er Vizeweltmeister mit der Mannschaft, im Doppel erreichte er mit Václav Tereba Platz drei.

Turnierergebnisse

Quellen
 Adolf Slar gestorben, Zeitschrift DTS, 1987/9 S. 32

Einzelnachweise

Tischtennisspieler (Tschechoslowakei)
Weltmeister (Tischtennis)
Tschechoslowake
Geboren 1919
Gestorben 1987
Mann

redpajama_set_name: RedPajamaWikipedia


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United Nations Sustainable Development Cooperation Framework Sierra Leone - 2020-2023
The UNSDCF 2020-2023 defines how the UN system in Sierra Leone will support the implementation of Sierra Leone's Medium-Term National Development Plan (MTNDP) 2019-2023 and the progress towards the achievement of the 17 global Sustainable Development Goals while ensuring that no-one is left behind.
The UNSDCF was created through a participative process with contributions from all UN agencies operating in Sierra Leone, Government, international development partners, non-governmental and civil society organizations and private sector entities. The analytical basis for the UNSDCF is the Common Country Analysis (CCA), prepared in 2018 in consultation with the various partners.
The UN Country Team (UNCT) in Sierra Leone and its partners jointly identified four strategic and mutually reinforcing priority areas for the UNSDCF cycle 2020-2023, namely:
Sustainable Agriculture, Food and Nutrition Security: By 2023, Sierra Leone benefits from more productive, commercialized and sustainable agriculture, improved food and nutrition security, and increased resilience to climate change and other shocks.
Transformational Governance: By 2023, people in Sierra Leone benefit from more gender and youth responsive institutions that are innovative, accountable, and transparent at all levels and can better advance respect for human rights and the rule of law, equity, peaceful coexistence, and the protection of boys and girls, women and men including those with disabilities.
Access to Basic Services: By 2023, the population of Sierra Leone, particularly the most disadvantaged and vulnerable, will benefit from increased and more equitable access to and utilization of quality education, health care, energy and WASH services, including during emergencies.
Protection and Empowerment of the Most Vulnerable: By 2023, the most vulnerable, particularly women, youth, adolescents and children (especially girls), and persons with disabilities, are empowered and benefit from increased social and economic opportunities.
OHCHR
Published in collaboration with
Government of Sierra Leone
Goals we are supporting through this initiative
sdg-1
sdg-10
United Nations in Sierra Leone Newsletter Issue 2. December 2021
United Nations Food System Summit: Pathways to Attain Sustainable Access to Safe and Nutritious Foods for All in Sierra Leone.
UN in Sierra Leone Newsletter - August


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Huyghe, Jeroen R., et al. (författare)
Discovery of common and rare genetic risk variants for colorectal cancer
Ingår i: Nature Genetics. - NATURE PUBLISHING GROUP. - 1061-4036 .- 1546-1718. ; 51:1, s. 76-87
Tidskriftsartikel (refereegranskat)abstract
To further dissect the genetic architecture of colorectal cancer (CRC), we performed whole-genome sequencing of 1,439 cases and 720 controls, imputed discovered sequence variants and Haplotype Reference Consortium panel variants into genome-wide association study data, and tested for association in 34,869 cases and 29,051 controls. Findings were followed up in an additional 23,262 cases and 38,296 controls. We discovered a strongly protective 0.3% frequency variant signal at CHD1. In a combined meta-analysis of 125,478 individuals, we identified 40 new independent signals at P < 5 x 10(-8), bringing the number of known independent signals for CRC to similar to 100. New signals implicate lower-frequency variants, Kruppel-like factors, Hedgehog signaling, Hippo-YAP signaling, long noncoding RNAs and somatic drivers, and support a role for immune function. Heritability analyses suggest that CRC risk is highly polygenic, and larger, more comprehensive studies enabling rare variant analysis will improve understanding of biology underlying this risk and influence personalized screening strategies and drug development.
Scott, Robert A., et al. (författare)
A genomic approach to therapeutic target validation identifies a glucose-lowering GLP1R variant protective for coronary heart disease
Ingår i: Science Translational Medicine. - American Association for the Advancement of Science (AAAS). - 1946-6234. ; 8:341
Regulatory authorities have indicated that new drugs to treat type 2 diabetes (T2D) should not be associated with an unacceptable increase in cardiovascular risk. Human genetics may be able to guide development of antidiabetic therapies by predicting cardiovascular and other health endpoints. We therefore investigated the association of variants in six genes that encode drug targets for obesity or T2D with a range of metabolic traits in up to 11, 806 individuals by targeted exome sequencing and follow-up in 39, 979 individuals by targeted genotyping, with additional in silico follow-up in consortia. We used these data to first compare associations of variants in genes encoding drug targets with the effects of pharmacological manipulation of those targets in clinical trials. We then tested the association of those variants with disease outcomes, including coronary heart disease, to predict cardiovascular safety of these agents. A low-frequency missense variant (Ala316Thr; rs10305492) in the gene encoding glucagon-like peptide-1 receptor (GLP1R), the target of GLP1R agonists, was associated with lower fasting glucose and T2D risk, consistent with GLP1R agonist therapies. The minor allele was also associated with protection against heart disease, thus providing evidence that GLP1R agonists are not likely to be associated with an unacceptable increase in cardiovascular risk. Our results provide an encouraging signal that these agents may be associated with benefit, a question currently being addressed in randomized controlled trials. Genetic variants associated with metabolic traits and multiple disease outcomes can be used to validate therapeutic targets at an early stage in the drug development process.
Wessel, Jennifer, et al. (författare)
Low-frequency and rare exome chip variants associate with fasting glucose and type 2 diabetes susceptibility
Ingår i: Nature Communications. - 2041-1723. ; 6
Fasting glucose and insulin are intermediate traits for type 2 diabetes. Here we explore the role of coding variation on these traits by analysis of variants on the HumanExome BeadChip in 60,564 non-diabetic individuals and in 16,491 T2D cases and 81,877 controls. We identify a novel association of a low-frequency nonsynonymous SNV in GLP1R (A316T; rs10305492; MAF = 1.4%) with lower FG (beta = -0.09 +/- 0.01 mmol l(-1), P = 3.4 x 10(-12)), T2D risk (OR[95% CI] = 0.86[0.76-0.96], P = 0.010), early insulin secretion (beta = -0.07 +/- 0.035 pmol(insulin) mmol(glucose)(-1), P = 0.048), but higher 2-h glucose (beta = 0.16 +/- 0.05 mmol l(-1), P = 4.3 x 10(-4)). We identify a gene-based association with FG at G6PC2 (p(SKAT) = 6.8 x 10(-6)) driven by four rare protein-coding SNVs (H177Y, Y207S, R283X and S324P). We identify rs651007 (MAF = 20%) in the first intron of ABO at the putative promoter of an antisense lncRNA, associating with higher FG (beta = 0.02 +/- 0.004 mmol l(-1), P = 1.3 x 10(-8)). Our approach identifies novel coding variant associations and extends the allelic spectrum of variation underlying diabetes-related quantitative traits and T2D susceptibility.
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Zhang, Mingfeng, et al. (författare)
Three new pancreatic cancer susceptibility signals identified on chromosomes 1q32.1, 5p15.33 and 8q24.21
Ingår i: OncoTarget. - 1949-2553. ; 7:41, s. 66328-66343
Genome-wide association studies (GWAS) have identified common pancreatic cancer susceptibility variants at 13 chromosomal loci in individuals of European descent. To identify new susceptibility variants, we performed imputation based on 1000 Genomes (1000G) Project data and association analysis using 5,107 case and 8,845 control subjects from 27 cohort and case-control studies that participated in the PanScan I-III GWAS. This analysis, in combination with a two-staged replication in an additional 6,076 case and 7,555 control subjects from the PANcreatic Disease ReseArch (PANDoRA) and Pancreatic Cancer Case-Control (PanC4) Consortia uncovered 3 new pancreatic cancer risk signals marked by single nucleotide polymorphisms (SNPs) rs2816938 at chromosome 1q32.1 (per allele odds ratio (OR) = 1.20, P = 4.88x10(-15)), rs10094872 at 8q24.21 (OR = 1.15, P = 3.22x10(-9)) and rs35226131 at 5p15.33 (OR = 0.71, P = 1.70x10(-8)). These SNPs represent independent risk variants at previously identified pancreatic cancer risk loci on chr1q32.1 (NR5A2), chr8q24.21 (MYC) and chr5p15.33 (CLPTM1L-TERT) as per analyses conditioned on previously reported susceptibility variants. We assessed expression of candidate genes at the three risk loci in histologically normal (n = 10) and tumor (n = 8) derived pancreatic tissue samples and observed a marked reduction of NR5A2 expression (chr1q32.1) in the tumors (fold change -7.6, P = 5.7x10(-8)). This finding was validated in a second set of paired (n = 20) histologically normal and tumor derived pancreatic tissue samples (average fold change for three NR5A2 isoforms -31.3 to -95.7, P = 7.5x10(-4)-2.0x10(-3)). Our study has identified new susceptibility variants independently conferring pancreatic cancer risk that merit functional follow-up to identify target genes and explain the underlying biology.
Wolpin, Brian M., et al. (författare)
Genome-wide association study identifies multiple susceptibility loci for pancreatic cancer
Ingår i: Nature Genetics. - 1061-4036. ; 46:9, s. 994-
We performed a multistage genome-wide association study including 7,683 individuals with pancreatic cancer and 14,397 controls of European descent. Four new loci reached genome-wide significance: rs6971499 at 7q32.3 (LINC-PINT, per-allele odds ratio (OR) = 0.79, 95% confidence interval (CI) 0.74-0.84, P = 3.0 x 10(-12)), rs7190458 at 16q23.1 (BCAR1/CTRB1/CTRB2, OR = 1.46, 95% CI 1.30-1.65, P = 1.1 x 10(-10)), rs9581943 at 13q12.2 (PDX1, OR = 1.15, 95% CI 1.10-1.20, P = 2.4 x 10(-9)) and rs16986825 at 22q12.1 (ZNRF3, OR = 1.18, 95% CI 1.12-1.25, P = 1.2 x 10(-8)). We identified an independent signal in exon 2 of TERT at the established region 5p15.33 (rs2736098, OR = 0.80, 95% CI 0.76-0.85, P = 9.8 x 10(-14)). We also identified a locus at 8q24.21 (rs1561927, P = 1.3 x 10(-7)) that approached genome-wide significance located 455 kb telomeric of PVT1. Our study identified multiple new susceptibility alleles for pancreatic cancer that are worthy of follow-up studies.
Zhou, Bin, et al. (författare)
Worldwide trends in blood pressure from 1975 to 2015 a pooled analysis of 1479 population-based measurement studies with 19.1 million participants
Ingår i: The Lancet. - 0140-6736 .- 1474-547X. ; 389:10064, s. 37-55
Background Raised blood pressure is an important risk factor for cardiovascular diseases and chronic kidney disease. We estimated worldwide trends in mean systolic and mean diastolic blood pressure, and the prevalence of, and number of people with, raised blood pressure, defined as systolic blood pressure of 140 mm Hg or higher or diastolic blood pressure of 90 mm Hg or higher. Methods For this analysis, we pooled national, subnational, or community population-based studies that had measured blood pressure in adults aged 18 years and older. We used a Bayesian hierarchical model to estimate trends from 1975 to 2015 in mean systolic and mean diastolic blood pressure, and the prevalence of raised blood pressure for 200 countries. We calculated the contributions of changes in prevalence versus population growth and ageing to the increase in the number of adults with raised blood pressure. Findings We pooled 1479 studies that had measured the blood pressures of 19.1 million adults. Global age-standardised mean systolic blood pressure in 2015 was 127.0 mm Hg (95% credible interval 125.7-128.3) in men and 122.3 mm Hg (121.0-123.6) in women; age-standardised mean diastolic blood pressure was 78.7 mm Hg (77.9-79.5) for men and 76.7 mm Hg (75.9-77.6) for women. Global age-standardised prevalence of raised blood pressure was 24.1% (21.4-27.1) in men and 20.1% (17.8-22.5) in women in 2015. Mean systolic and mean diastolic blood pressure decreased substantially from 1975 to 2015 in high-income western and Asia Pacific countries, moving these countries from having some of the highest worldwide blood pressure in 1975 to the lowest in 2015. Mean blood pressure also decreased in women in central and eastern Europe, Latin America and the Caribbean, and, more recently, central Asia, Middle East, and north Africa, but the estimated trends in these super-regions had larger uncertainty than in high-income super-regions. By contrast, mean blood pressure might have increased in east and southeast Asia, south Asia, Oceania, and sub-Saharan Africa. In 2015, central and eastern Europe, sub-Saharan Africa, and south Asia had the highest blood pressure levels. Prevalence of raised blood pressure decreased in high-income and some middle-income countries; it remained unchanged elsewhere. The number of adults with raised blood pressure increased from 594 million in 1975 to 1.13 billion in 2015, with the increase largely in low-income and middle-income countries. The global increase in the number of adults with raised blood pressure is a net effect of increase due to population growth and ageing, and decrease due to declining age-specific prevalence. Interpretation During the past four decades, the highest worldwide blood pressure levels have shifted from high-income countries to low-income countries in south Asia and sub-Saharan Africa due to opposite trends, while blood pressure has been persistently high in central and eastern Europe. Funding Wellcome Trust.
Forouhi, Nita G., et al. (författare)
Differences in the prospective association between individual plasma phospholipid saturated fatty acids and incident type 2 diabetes: the EPIC-InterAct case-cohort study.
Ingår i: The Lancet Diabetes & Endocrinology. - Elsevier. - 2213-8595. ; 2:10, s. 810-818
Conflicting evidence exists regarding the association between saturated fatty acids (SFAs) and type 2 diabetes. In this longitudinal case-cohort study, we aimed to investigate the prospective associations between objectively measured individual plasma phospholipid SFAs and incident type 2 diabetes in EPIC-InterAct participants.
Travis, Ruth C., et al. (författare)
A Meta-analysis of Individual Participant Data Reveals an Association between Circulating Levels of IGF-I and Prostate Cancer Risk
Ingår i: Cancer Research. - 0008-5472 .- 1538-7445. ; 76:8, s. 2288-2300
The role of insulin-like growth factors (IGF) in prostate cancer development is not fully understood. To investigate the association between circulating concentrations of IGFs (IGF-I, IGF-II, IGFBP-1, IGFBP-2, and IGFBP-3) and prostate cancer risk, we pooled individual participant data from 17 prospective and two cross-sectional studies, including up to 10,554 prostate cancer cases and 13,618 control participants. Conditional logistic regression was used to estimate the ORs for prostate cancer based on the study-specific fifth of each analyte. Overall, IGF-I, IGF-II, IGFBP-2, and IGFBP-3 concentrations were positively associated with prostate cancer risk (P-trend all <= 0.005), and IGFBP-1 was inversely associated weakly with risk (P-trend = 0.05). However, heterogeneity between the prospective and cross-sectional studies was evident (P-heterogeneity = 0.03), unless the analyses were restricted to prospective studies (with the exception of IGF-II, P-heterogeneity = 0.02). For prospective studies, the OR for men in the highest versus the lowest fifth of each analyte was 1.29 (95% confidence interval, 1.16-1.43) for IGF-I, 0.81 (0.68-0.96) for IGFBP-1, and 1.25 (1.12-1.40) for IGFBP-3. These associations did not differ significantly by time-to-diagnosis or tumor stage or grade. After mutual adjustment for each of the other analytes, only IGF-I remained associated with risk. Our collaborative study represents the largest pooled analysis of the relationship between prostate cancer risk and circulating concentrations of IGF-I, providing strong evidence that IGF-I is highly likely to be involved in prostate cancer development.
Di Cesare, Mariachiara, et al. (författare)
Trends in adult body-mass index in 200 countries from 1975 to 2014 a pooled analysis of 1698 population-based measurement studies with 19.2 million participants
Ingår i: The Lancet. - 0140-6736 .- 1474-547X. ; 387:10026, s. 1377-1396
Background Underweight and severe and morbid obesity are associated with highly elevated risks of adverse health outcomes. We estimated trends in mean body-mass index (BMI), which characterises its population distribution, and in the prevalences of a complete set of BMI categories for adults in all countries.Methods We analysed, with use of a consistent protocol, population-based studies that had measured height and weight in adults aged 18 years and older. We applied a Bayesian hierarchical model to these data to estimate trends from 1975 to 2014 in mean BMI and in the prevalences of BMI categories (<18.5 kg/m(2) [underweight], 18.5 kg/m(2) to <20 kg/m(2), 20 kg/m(2) to <25 kg/m(2), 25 kg/m(2) to <30 kg/m(2), 30 kg/m(2) to <35 kg/m(2), 35 kg/m(2) to <40 kg/m(2), = 40 kg/m(2) [morbid obesity]), by sex in 200 countries and territories, organised in 21 regions. We calculated the posterior probability of meeting the target of halting by 2025 the rise in obesity at its 2010 levels, if post-2000 trends continue.Findings We used 1698 population-based data sources, with more than 19.2 million adult participants (9.9 million men and 9.3 million women) in 186 of 200 countries for which estimates were made. Global age-standardised mean BMI increased from 21.7 kg/m(2) (95% credible interval 21.3-22.1) in 1975 to 24.2 kg/m(2) (24.0-24.4) in 2014 in men, and from 22.1 kg/m(2) (21.7-22.5) in 1975 to 24.4 kg/m(2) (24.2-24.6) in 2014 in women. Regional mean BMIs in 2014 for men ranged from 21.4 kg/m(2) in central Africa and south Asia to 29.2 kg/m(2) (28.6-29.8) in Polynesia and Micronesia; for women the range was from 21.8 kg/m(2) (21.4-22.3) in south Asia to 32.2 kg/m(2) (31.5-32.8) in Polynesia and Micronesia. Over these four decades, age-standardised global prevalence of underweight decreased from 13.8% (10.5-17.4) to 8.8% (7.4-10.3) in men and from 14.6% (11.6-17.9) to 9.7% (8.3-11.1) in women. South Asia had the highest prevalence of underweight in 2014, 23.4% (17.8-29.2) in men and 24.0% (18.9-29.3) in women. Age-standardised prevalence of obesity increased from 3.2% (2.4-4.1) in 1975 to 10.8% (9.7-12.0) in 2014 in men, and from 6.4% (5.1-7.8) to 14.9% (13.6-16.1) in women. 2.3% (2.0-2.7) of the world's men and 5.0% (4.4-5.6) of women were severely obese (ie, have BMI = 35 kg/m(2)). Globally, prevalence of morbid obesity was 0.64% (0.46-0.86) in men and 1.6% (1.3-1.9) in women.Interpretation If post-2000 trends continue, the probability of meeting the global obesity target is virtually zero. Rather, if these trends continue, by 2025, global obesity prevalence will reach 18% in men and surpass 21% in women; severe obesity will surpass 6% in men and 9% in women. Nonetheless, underweight remains prevalent in the world's poorest regions, especially in south Asia.
Gu, Fangyi, et al. (författare)
Eighteen insulin-like growth factor pathway genes, circulating levels of IGF-I and its binding protein, and risk of prostate and breast cancer
Ingår i: Cancer Epidemiology, Biomarkers and Prevention. - American Association for Cancer Research. - 1055-9965. ; 19:11, s. 2877-2887
Background: Circulating levels of insulin-like growth factor I (IGF-I) and its main binding protein, IGF binding protein 3 (IGFBP-3), have been associated with risk of several types of cancer. Heritable factors explain up to 60% of the variation in IGF-I and IGFBP-3 in studies of adult twins.Methods: We systematically examined common genetic variation in 18 genes in the IGF signaling pathway for associations with circulating levels of IGF-I and IGFBP-3. A total of 302 single nucleotide polymorphisms (SNP) were genotyped in >5,500 Caucasian men and 5,500 Caucasian women from the Breast and Prostate Cancer Cohort Consortium.Results: After adjusting for multiple testing, SNPs in the IGF1 and SSTR5 genes were significantly associated with circulating IGF-I (P < 2.1 × 10−4); SNPs in the IGFBP3 and IGFALS genes were significantly associated with circulating IGFBP-3. Multi-SNP models explained R2 = 0.62% of the variation in circulating IGF-I and 3.9% of the variation in circulating IGFBP-3. We saw no significant association between these multi-SNP predictors of circulating IGF-I or IGFBP-3 and risk of prostate or breast cancers.Conclusion: Common genetic variation in the IGF1 and SSTR5 genes seems to influence circulating IGF-I levels, and variation in IGFBP3 and IGFALS seems to influence circulating IGFBP-3. However, these variants explain only a small percentage of the variation in circulating IGF-I and IGFBP-3 in Caucasian men and women.Impact: Further studies are needed to explore contributions from other genetic factors such as rare variants in these genes and variation outside of these genes.
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The Delta variant appears to have tripled to 31% of all US coronavirus cases in just 11 days. It's more dangerous than other variants and could imperil the country's recovery.
Marianne Guenot Jun. 21, 2021, 10:57 AM
A medical assistant administering a COVID-19 vaccine dose in Los Angeles. Mario Tama/Getty Images
The Financial Times estimates the Delta variant made up a third of US COVID-19 cases Wednesday.
That would mean the coronavirus variant's share of infections tripled in just 11 days.
The CDC warned last week that the Delta variant could soon become dominant in the US.
See more stories on Insider's business page.
As of Wednesday, the Delta coronavirus variant may have been responsible for 31% of all coronavirus cases in the US, according to an estimate by the Financial Times.
Previous data from the Centers for Disease Control and Prevention put that share of cases at about 10% as of June 5 and 2.7% on May 22.
The Financial Times estimate, based on available sequencing data, would mean the share of Delta-variant infections in the US tripled in just 11 days.
The CDC has not yet released data on the rate of Delta-variant cases after June 5 in the US.
Dr. Rochelle Walensky, the director of the CDC, warned last week that the Delta variant could soon become dominant in the US.
And on Sunday, the former Food and Drug Administration chief Scott Gottlieb warned that the Delta variant could lead to a surge of cases in the fall even if 75% of eligible Americans were vaccinated by then.
The variant, which was first identified in India and is also called B.1.617.2, appears to be 60% more transmissible than the variant that is now still dominant in the US, the Alpha variant.
Data from the UK, where the Delta variant is thought to make up about 90% of current coronavirus cases, also suggests that the risk of hospitalization is higher for unvaccinated people with this variant.
The Delta variant also appears to more likely to evade the protection given by partial vaccinations.
Research suggests a single shot of the Pfizer-BioNTech or Oxford University-AstraZeneca coronavirus vaccines may give just 33% protection against symptomatic COVID-19 cases with the Delta variant, compared with at least 88% for other variants.
Two doses of the Pfizer-BioNTech or Oxford-AstraZeneca shot have been found to be protective against hospitalization from the variant, however.
It is not clear what protection other vaccines give against this variant.
On Friday, President Joe Biden warned that the Delta variant was "particularly dangerous for young people," who are less likely to be vaccinated than older adults and are more socially active.
He also urged all Americans to get second doses of vaccines that require them.
As of Monday, 45% of Americans were fully vaccinated and 53% had received one dose, according to data from the CDC. The pace of vaccination, however, has fallen in the past two months.
Marianne Guenot
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So I introduced myself but I didn't tell u about my boys! What was I thinking forgetting my babies! So anyway I have four cocker spaniels (aka the boys or the babies) . Three of them are 5 and the other one is three and their names are Buddy, Andy, Rusty, and Benji who is the youngest. I love them lots and they are spoiled especially sinceI haveno "real kids" yet. They're well behaved most of the time too though so they actually deserve most of what they get....usually anyway. Bye for now!
It sounds like you have quite a houseful with four dogs :-) I hope we get to see pictures of them soon and hear much more about them.
Can't wait for you to post some pictures of your babies! Welcome to the Forum and enjoy the topics and all the great people we have here.
Oh I can't wait for picture too.
Thanks for telling us about your fur babies!
My aussie was very enthralled with a couple of cockers at the dog park yesterday. Maybe because she was worn out from chasing bigger, faster dogs and wanted something that wasn't so fast. The cockers were fast enough to keep her busy though.


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Sacramento State vs San Jose State (Apr 29, 2012)
Sacramento State Baseball 2012
Sacramento State at San Jose State
Apr 29, 2012 at San Jose, Calif. (Municipal Stadium)
Sacramento State 7 (24-19,7-5 WAC)
Higley, Justin cf 4 1 2 0 0 0 3 0 0
Ayers, Andrew 2b 5 0 2 0 0 0 2 2 1
Soto, Will 3b 4 1 1 1 0 0 0 5 0
Chung, Derrick c 2 2 1 0 2 1 2 0 0
Hoskins, Rhys lf 4 2 1 1 1 2 5 1 3
Adrian, Hunter rf 4 1 4 4 0 0 3 1 0
Paine, Trevor 1b 4 0 0 0 0 1 8 0 1
Cederquist, Clay dh 4 0 1 1 0 0 0 0 0
Burcham, Scotty ss 4 0 0 0 0 2 1 0 1
Mendonca, Tanner p 0 0 0 0 0 0 0 0 0
Creel, Brandon p 0 0 0 0 0 0 0 0 0
Nichols, Ty p 0 0 0 0 0 0 0 0 0
Hoelzen, Tyler p 0 0 0 0 0 0 0 1 0
Davis, R.J. p 0 0 0 0 0 0 0 0 0
San Jose State 8 (20-19,5-4 WAC)
Rodriguez, Andrew cf 3 2 0 0 1 1 2 0 1
Valdez, Jacob 2b 2 1 0 0 2 0 2 2 0
Lopez, Matt 1b 2 2 1 1 3 0 6 2 1
Gerlach, Michael lf 4 1 1 1 1 0 1 0 2
Schulz, Nick rf 4 0 2 3 0 0 3 1 0
Natov, Caleb dh 1 1 0 1 2 1 0 0 1
Christian, Tyler 3b 4 1 1 0 0 0 2 1 0
Acosta, Ricky ss 2 0 0 0 1 0 1 1 2
Bona, Anthony ph 1 0 1 2 0 0 0 0 0
Reiling, Mike pr 0 0 0 0 0 0 1 0 0
Gallegos, Kyle c 2 0 0 0 0 0 6 2 1
Jones, Zack p 0 0 0 0 0 0 0 1 0
Martin, Sean p 0 0 0 0 0 0 1 0 0
Kafka, Jason p 0 0 0 0 0 0 1 0 0
Aldrete, Mike p 0 0 0 0 0 0 1 0 0
Contrades, Kalei p 0 0 0 0 0 0 0 0 0
Totals 25 8 6 8 10 2 27 10 8
Sacramento State.... 013 030 000 -  7 12  0
San Jose State...... 203 000 21X -  8  6  1
E - Jones(1). DP - SAC ST 1. LOB - SAC ST 7; SJSU 8. 2B - Higley, J.(11); Soto, W.(13); Bona(3). 3B - Adrian, H.(1). HR - Adrian, H.(4). HBP - Higley, J.; Chung, D.; Rodriguez; Gallegos. SH - Valdez(5); Gallegos(9). SF - Soto, W.(5); Natov(4). SB - Rodriguez 2(2); Valdez(2); Schulz(2). CS - Ayers, A.(2).
Sacramento State ip h r er bb so wp bk hbp ibb ab bf fo go np
Mendonca, Tanner 2.0 3 5 5 5 1 0 0 1 0 7 14 2 2 45
Creel, Brandon 2.0 0 0 0 1 1 1 0 1 0 5 8 3 2 27
Nichols, Ty 2.2 1 2 2 3 0 0 0 0 0 9 12 5 3 50
Hoelzen, Tyler L,1-1 0.2 2 1 1 1 0 0 0 0 0 3 5 1 1 16
Davis, R.J. 0.2 0 0 0 0 0 0 0 0 0 1 1 1 0 4
San Jose State ip h r er bb so wp bk hbp ibb ab bf fo go np
Jones, Zack 4.0 8 6 6 1 2 1 0 2 0 18 22 6 3 68
Martin, Sean 0.2 2 1 1 1 0 1 0 0 0 3 4 1 0 16
Kafka, Jason 1.1 0 0 0 1 1 0 0 0 0 4 5 0 3 15
Aldrete, Mike W,6-1 2.0 1 0 0 0 2 1 0 0 0 6 6 3 0 23
Contrades, Kalei S,2 1.0 1 0 0 0 1 0 0 0 0 4 4 1 1 13
Win - Aldrete (6-1). Loss - Hoelzen, T. (1-1). Save - Contrades (2). WP - Creel, B.(3); Jones(6); Martin, S.(3); Aldrete(2). HBP - by Mendonca, T. (Rodriguez); by Jones (Higley, J.); by Creel, B. (Gallegos); by Jones (Chung, D.). Pitches/strikes: Mendonca, T. 45/19; Creel, B. 27/13; Nichols, T. 50/23; Hoelzen, T. 16/10; Davis, RJ 4/3; Jones 68/44; Martin, S. 16/9; Kafka 15/7; Aldrete 23/14; Contrades 13/9.
Umpires - HP: Tom Chandler 1B: Larry Randall 3B: Frank Pflugradt
Weather: Sunny, 78 F, 3 mph to Left
Sacramento State starters: 35/cf Higley, J.; 18/2b Ayers, A.; 5/3b Soto, W.; 6/c Chung, D.; 12/lf Hoskins, R.; 24/rf Adrian, H.; 28/1b Paine, T.; 13/dh Cederquist; 7/ss Burcham, S.; 11/p Mendonca, T.;
San Jose State starters: 24/cf Rodriguez; 2/2b Valdez; 3/1b Lopez; 10/lf Gerlach; 37/rf Schulz; 21/dh Natov; 8/3b Christian; 1/ss Acosta; 16/c Gallegos; 4/p Jones;
Sacramento State 1st - Higley, J. doubled to right field (1-1 KB). Ayers, A. singled to left field (0-2 FK); Higley, J. advanced to third. Soto, W. lined out to 3b (0-0). Chung, D. struck out swinging (1-2 KBSS). Hoskins, R. struck out swinging (3-2 FBBBKS). 0 runs, 2 hits, 0 errors, 2 LOB.
San Jose State 1st - Rodriguez hit by pitch (2-0 B). Valdez flied out to cf to left center (0-0). Rodriguez stole second. Rodriguez stole third. Lopez walked (3-1 BBFBB). Gerlach walked (3-1 FBBBB); Lopez advanced to second. Schulz singled through the right side, out at second rf to 3b to ss, 2 RBI (1-1 BK); Gerlach advanced to third; Lopez scored; Rodriguez scored. Natov struck out swinging (1-2 KFFBS). 2 runs, 1 hit, 0 errors, 1 LOB.
Sacramento State 2nd - Adrian, H. homered to right center, RBI (1-0 B). Paine, T. grounded out to 3b (1-0 B). Cederquist flied out to lf to left center (2-2 BFBS). Burcham, S. flied out to cf (1-0 B). 1 run, 1 hit, 0 errors, 0 LOB.
San Jose State 2nd - Christian flied out to rf (0-0). Acosta walked (3-1 BBBKB). Gallegos grounded out to 3b, SAC, bunt (0-0); Acosta advanced to second. Rodriguez grounded out to 3b (0-0). 0 runs, 0 hits, 0 errors, 1 LOB.
Sacramento State 3rd - Higley, J. hit by pitch (3-2 BKBFF). Higley, J. advanced to second on a throwing error by p, failed pickoff attempt. Ayers, A. singled to center field (0-2 SFF); Higley, J. advanced to third. Soto, W. flied out to rf, SF, RBI (2-1 KBB); Higley, J. scored. Ayers, A. out at second c to 2b, caught stealing. Chung, D. walked (3-1 KBBBB). Chung, D. advanced to second on a wild pitch. Hoskins, R. singled to center field, RBI (2-1 KBB); Chung, D. scored. Adrian, H. tripled down the rf line, RBI (0-1 K); Hoskins, R. scored. Paine, T. grounded out to p (1-2 KBS). 3 runs, 3 hits, 1 error, 1 LOB.
San Jose State 3rd - Valdez walked (3-0 BBBB). Valdez stole second. Lopez walked (3-2 FBBBKB). Gerlach singled to left field, RBI (2-2 KSBB); Lopez advanced to second; Valdez scored. Schulz singled to right center, RBI (0-0); Gerlach advanced to third; Lopez scored. Creel, B. to p for Mendonca, T.. Natov flied out to rf, SF, RBI (0-0); Gerlach scored. Christian flied out to cf (1-1 BF). Schulz stole second. Acosta grounded out to 1b unassisted (2-0 BB). 3 runs, 2 hits, 0 errors, 1 LOB.
Sacramento State 4th - Cederquist grounded out to 2b (0-1 K). Burcham, S. popped up to ss (0-1 K). Higley, J. singled down the lf line (1-1 BK). Ayers, A. flied out to cf (0-1 K). 0 runs, 1 hit, 0 errors, 1 LOB.
San Jose State 4th - Gallegos hit by pitch (2-0 B). Rodriguez struck out swinging (1-2 FBSS). Gallegos advanced to second on a wild pitch. Valdez flied out to lf (3-2 BBFFFB). Lopez walked (3-0 BBBB). Gerlach grounded out to 3b (1-1 KB). 0 runs, 0 hits, 0 errors, 2 LOB.
Sacramento State 5th - Soto, W. doubled to right center (0-0). Chung, D. hit by pitch (1-0). Martin, S. to p for Jones. Hoskins, R. walked (3-2 KBSBFBFFB); Chung, D. advanced to second; Soto, W. advanced to third. Adrian, H. singled up the middle, 2 RBI (2-1 BFB); Hoskins, R. advanced to second; Chung, D. scored; Soto, W. scored. Paine, T. fouled out to p, bunt (0-0). Cederquist singled to right field, RBI (1-0 B); Adrian, H. advanced to second, out at third rf to 1b to 3b; Hoskins, R. scored. Cederquist advanced to second on a wild pitch. Kafka to p for Martin, S.. Burcham, S. struck out looking (0-1 K). 3 runs, 3 hits, 0 errors, 1 LOB.
San Jose State 5th - Nichols, T. to p for Creel, B.. Schulz grounded out to 2b (1-1 KB). Natov walked (3-0 BBBB). Christian flied out to lf (1-1 BK). Acosta flied out to lf (2-1 KBB). 0 runs, 0 hits, 0 errors, 1 LOB.
Sacramento State 6th - Higley, J. out at first 1b to p (2-0 BB). Ayers, A. grounded out to ss (0-1 K). Soto, W. grounded out to 2b (2-1 FBB). 0 runs, 0 hits, 0 errors, 0 LOB.
San Jose State 6th - Gallegos flied out to cf (2-1 BKB). Rodriguez grounded out to 2b (2-1 BKB). Valdez walked (3-1 BBFBB). Lopez flied out to rf (2-0 BB). 0 runs, 0 hits, 0 errors, 1 LOB.
Sacramento State 7th - Chung, D. walked (3-1 BBBKB). Aldrete to p for Kafka. Hoskins, R. popped up to 2b (0-0). Adrian, H. singled to right field (2-2 KKBB); Chung, D. advanced to third. Paine, T. struck out swinging (1-2 KFBS). Adrian, H. advanced to second on a wild pitch; Chung, D. out at home c to p. 0 runs, 1 hit, 0 errors, 1 LOB.
San Jose State 7th - Gerlach grounded out to 3b (1-1 BK). Schulz flied out to lf to left center (2-2 BFFB). Natov walked (3-1 BBKBB). Christian singled to left center (2-2 BKSBFF); Natov advanced to third. Hoelzen, T. to p for Nichols, T.. Bona pinch hit for Acosta. Bona doubled to right field, 2 RBI (1-0 B); Christian scored; Natov scored. Reiling pinch ran for Bona. Gallegos flied out to 2b (0-1 K). 2 runs, 2 hits, 0 errors, 1 LOB.
Sacramento State 8th - Reiling to ss. Cederquist popped up to ss (3-2 BFFBB). Burcham, S. struck out looking (1-2 FBKK). Higley, J. flied out to rf (1-0 B). 0 runs, 0 hits, 0 errors, 0 LOB.
San Jose State 8th - Rodriguez walked (3-2 BKBSFBB). Valdez grounded out to p, SAC, bunt (0-1 K); Rodriguez advanced to second. Lopez singled to left center, RBI (1-1 BF); Rodriguez scored. Davis, RJ to p for Hoelzen, T.. Gerlach flied into double play lf to 2b (1-2 BKF); Lopez out on the play. 1 run, 1 hit, 0 errors, 0 LOB.
Sacramento State 9th - Contrades to p for Aldrete. Ayers, A. flied out to rf (0-1 K). Soto, W. grounded out to 1b unassisted (2-2 BBKF). Chung, D. singled through the left side (1-0 B). Hoskins, R. struck out swinging (1-2 BKSS). 0 runs, 1 hit, 0 errors, 1 LOB.


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Portola Valley School District
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At Corte Madera, our 21st century learners demonstrate exceptional character, leadership and life skills.
We are proud of our students and our efforts to ensure we have a positive and nurturing school climate that supports all students so they can learn at high levels and enjoy themselves while doing so. Corte Madera School also has a well-earned reputation for academic excellence and we are very proud of our accomplishments. Our students have performed very well on STAR exams and our school's API consistently has been exceptional.
As well, we were recognized as a California Distinguished School in the spring of 2011 and a National Blue Ribbon School in 2008. Our achievements are a testament to our hard-workingstudents, dedicated faculty and staff, and highly supportive parents and guardians.
We trust that you will find our website easy to use and informative. If you are a parent, student, or community member, please look for regularly updated information about Corte Madera School and the Portola Valley School District by clicking on this "Weekly Post" link.
Go Panthers!
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4575 Alpine Road, Portola Valley, CA 94028


In an effort to show off its powerful Snapdragon 600 processors, Qualcomm recently constructed a 540-degree bullet time photo booth using 130 HTC One smartphones. And then they let the residents of Venice Beach go to town with it.
The company has set up a page on its website to post GIFs made with its Snapdragon photo booth.


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Member's News
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2021 Annual Excellence Awards
John Haupt, MC&MCA Board of Directors
John J Haupt, PE, LEED® AP
Lead Construction Materials Engineer and Construction Materials Project Manager
American Engineering Testing, Inc.
651.603.6638 | jhaupt@amengtest.com
Mr. Haupt has been in the construction materials engineering industry for over 25 years, 14 of which have been spent with American Engineering Testing, Inc. (AET). In his time with AET, John has served as the project manager on construction projects while providing review and analysis of field test data, the masonry, cast stone and dimension stone lab monitor, and have provided many special inspection and testing services to his clients. Most recently, John has served as the project manager for Nicollet Mall Street reconstruction, Target Center reconstruction, Circle Pines Streets, Cedar Grove Transit Center and 3118 West Lake Apartments. As a project manager, John provides observation and testing services to his clients and partners including performing observations and the testing of soils, concrete, masonry and structural steel. John is a registered professional engineer in MN, holds LEED® AP certification and holds a Bachelors of Science degree in Civil Engineering from the University of Minnesota. John has been a member of the MN Concrete and Masonry Contractors Association (MC&MCA) since 2014. In his time with MC&MCA, John has been an active member of Excellence Awards Judging Day as both a driver and navigator and serves on the Membership Committee. Along with his involvement in MC&MCA, John is also an active member of the ASTM C15 Manufactured Masonry Units, American Concrete Institute, Minnesota Concrete Council, and the American Society of Civil Engineers.
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The financial markets of 2016 have started off with a certain level of volatility influenced by global macro events such as the slowdown in the Chinese economy and the continued fall in commodity prices. Potentially complicating market performance are the prevalent theories in election years. The State of Iowa helped set the pace for presidential front runners. Does the market favor one political party over the other? Are there potential policy implications to election outcomes?