This new research has outlined yet another benefit to intermittent fasting—that may arise from the time you eat, rather than what you eat.

The post New Intermittent Fasting Program Shown to Suppress Cancer and Metabolic Disease in Mice and Humans appeared first on Good News Network.

Buddhist nuns spend three hours every day practicing the martial art of kung fu—and you wouldn't want to face them down in a fight.

The post These Nuns Are Empowered With Kung Fu to Break Bricks – And Fight Human Suffering (WATCH) appeared first on Good News Network.

Much has been written and discussed over the last few months around our present social environment.

Introduction In the context of the humanities, the last twenty... more

Current resource statistics for the Umatilla National Forest, based on two separate inventories conducted in 1993-96 and in 1997-2002, are presented in this report. Currently on the Umatilla National Forest, 89 percent of the land area is classified as forest land. The predominant forest type is grand fir (26 percent of forested acres) followed by the interior Douglas-fir (25 percent) and ponderosa pine (17 percent) types. The majority of net cubic foot wood volume (55 percent) comes from trees ranging in size from 11 to 23 inches diameter at breast height. The most commonly recorded cause of tree death was bark beetle (primarily Dendroctonus spp.) attack, with over half of the mortality volume attributed to these insects.

The past decade has seen resurgence in interest in gathering wild plants and fungi in cities. In addition to gathering by individuals, dozens of groups have emerged in U.S., Canadian, and European cities to facilitate access to nontimber forest products (NTFPs), particularly fruits and nuts, in public and private spaces. Recent efforts within cities to encourage public orchards and food forests, and to incorporate more fruit and nut trees into street tree planting programs indicate a growing recognition among planners that gathering is an important urban activity.

This guide presents a classification of the deep canyon and subalpine riparian and wetland vegetation types of the Malheur, Umatilla, and Wallowa-Whitman National Forests. A primary goal of the deep canyon and subalpine riparian and wetland classification was a seamless linkage with the midmontane northeastern Oregon riparian and wetland classification provided by Crowe and Clausnitzer in 1997. The classification is based on potential natural vegetation and follows directly from the plant association concept for riparian zones. The 95 vegetation types classified across the three national forests were organized into 16 vegetation series, and included some 45 vegetation types not previously classified for northeastern Oregon subalpine and deep canyon riparian and wetland environments. The riparian and wetland vegetation types developed for this guide were compared floristically and environmentally to riparian and wetland classifications in neighboring geographic regions. For each vegetation type, a section was included describing the occurrence#40;s#41; of the same or floristically similar vegetation types found in riparian and wetland classifications developed for neighboring geographic regions. Lastly, this guide was designed to be used in conjunction with the midmontane guide to provide a comprehensive look at the riparian and wetland vegetation of northeastern Oregon.

Puntos destacados de la investigación: Mientras más joven comience a fumar, es más probable que fume diariamente cuando sea adulto y es menos probable que haya dejado el hábito a los 40 años, según un estudio internacional que incluye a EE. UU. Los ...

Research Highlights: The Vein-Chip device, a miniaturized version of a large human vein, allowed scientists to study changes in vein wall cells, blood flow and other functions that lead to deep vein thrombosis in humans. The device focused on venous ...

Traumatic brain injury (TBI) can have lifelong and dynamic effects on health and wellbeing. Research on the longterm consequences emphasises that, for many patients, TBI should be conceptualised as a chronic health condition. Evidence suggests that functional outcomes after TBI can show improvement or deterioration up to two decades after injury, and rates of all-cause mortality remain elevated for many years. Furthermore, TBI represents a risk factor for a variety of neurological illnesses, including epilepsy, stroke, and neurodegenerative disease. With respect to neurodegeneration after TBI, post-mortem studies on the long-term neuropathology after injury have identified complex persisting and evolving abnormalities best described as polypathology, which includes chronic traumatic encephalopathy. Despite growing awareness of the lifelong consequences of TBI, substantial gaps in research exist. Improvements are therefore needed in understanding chronic pathologies and their implications for survivors of TBI, which could inform long-term health management in this sizeable patient population.

Traumatic brain injury (TBI) is a leading cause of death and disability. Older adults are more likely than younger individuals to sustain TBIs and less likely to survive them. TBI has been called the “silent epidemic,” and older adults are the “silent population” within this epidemic. This study evaluates whether indicators of preinjury health and functioning are associated with risk of incident traumatic brain injury (TBI) with loss of consciousness (LOC) and to evaluate health‐related factors associated with mortality in individuals with incident TBI.

The association of dispositional optimism with health-related factors has been well established in several clinical populations, but little is known about the role of optimism in recovery after traumatic brain injury (TBI). Given the high prevalence of cognitive complaints after TBI, the present study examined the association between optimism and cognitive functioning after TBI.

Hong Kong has been embroiled in increasingly violent social unrest since June, 2019. We examined the associated population mental health burden, risk factors, and health-care needs.

Homelessness is a global public health concern, and traumatic brain injury (TBI) could represent an underappreciated factor in the health trajectories of homeless and marginally housed individuals. We aimed to evaluate the lifetime prevalence of TBI in this population, and to summarise findings on TBI incidence and the association between TBI and health-related or functioning-related outcomes.

The national age-adjusted rate of fall-related TBI deaths increased by 17% from 2008 to 2017; rates increased significantly in 29 states and among nearly all groups, most notably persons living in noncore nonmetropolitan counties and those aged ≥75 years.

A look at how to describe clinical recovery time and factors that might impact recovery after a sports-related mild traumatic brain injury (SR-mTBI; concussion).

I am a longtime resident of Johnson County, currently in my 25th year of law enforcement. I worked for the Coralville Police Department in the late 1990’s and transferred to the Cedar Rapids Police Department in 1999 where I am a sergeant of the patrol division. I have degrees in criminal justice and organizational leadership and have advanced leadership training from Northwestern University in the School of Police Staff and Command.

Working in the second-largest city in the state has offered me many opportunities to lead. I have taught in the police academy and defensive tactics and as a field training instructor. I was the director of the Eastern Iowa Heroin Initiative, where I founded CRUSH of Iowa (Community Resources United to Stop Heroin). CRUSH is a community-based, grassroots organization helping all those affected by substance abuse disorder.

My passion has been community outreach. Currently I am a member of the Johnson County Human Trafficking Coalition and the Johnson County Prevention Partnership. Through these partnerships I will create a criminal interdiction team to fight the trafficking of humans, weapons and narcotics.

As sheriff, my top three concerns are substance abuse, mental health and human trafficking. I believe in creating long-lasting relationships with the community. I believe in common sense solutions without the haze of political bias. I believe that every citizen has a voice and should be heard. I believe in building a proactive and progressive law enforcement agency that serves with professionalism, compassion and dedication to the citizens. I believe we need to place the community back into community policing.

I am ready to be sheriff of Johnson County. I am a proven leader who is determined to build bridges with the citizens of the county and lead with accountability, trust and transparency. I will fight for all of Johnson County as sheriff because I have done so all of my life. This election is not just about me, it is about us. We, together, will make a positive impact on Johnson County. The status quo is not working. It’s time for change!

I would love to have your vote on June 2. We work better when we work together. People before politics!

Al Fear is a candidate in the Democratic primary for Johnson County sheriff. alfearforsheriff.com

Canusa Street in Vermont is the border between the United States and Canada. Roughly 200 years ago, when the border was decided, no one could have imagined that breaking your leg on one side of that street would have vastly different consequences than breaking it on the other.

I’m Kimberly Graham. I’m an advocate and attorney for abused kids and for parents in Iowa’s juvenile courts. I’m also a Democratic candidate for U.S. Senate in Iowa.

On one side of Canusa Street, that nation has a universal single-payer health insurance system. For 20 years, I’ve been friends with an international circle of moms who met in an online mommies group when our kids were infants. Some of us have had medical events requiring expensive care.

To this day, my Canadian (and Australian and British) friends are shocked when we American moms talk about $5,000 or $10,000 deductibles, plus astronomical premiums. We talk about medical debt and how we put off or avoid medical care. We talk about how our child’s broken leg and the resulting deductible has set us behind financially and will take years to pay off.

A poll commissioned in 2018 by West Health Institute and the University of Chicago showed that 40 percent of Americans are more frightened by the cost of health care than getting sick.

Are Canadians, Brits and Australians more deserving of health care without premiums, copays and deductibles than Americans?

Of course not.

In a moral and wealthy nation, health care should be a fundamental human right.

Human rights are not for sale.

Human rights are not commodities to be marketed, bought and sold.

We need a universal, single-payer health care system (Medicare for All) that covers everyone. It should work like a public library. We value libraries and all of us can use them. But libraries aren’t free, so we all pitch in and pay for them. When I want a book, I go to the library, hand them my library card, check out the book and never hand them a debit card or receive a bill in the mail.

Health care should work like that in a moral and wealthy nation. Please join me in working for the day when all of us truly have the health insurance system we deserve. You can learn more at www.kimberlyforiowa.com Onward to justice for all, Kimberly

Kimberly Graham is a candidate in the Democratic primary for U.S. Senate.

Large file uploads in a web browser are problematic, even in 2018. If working with a poor network connection, uploads can fail and have to be retried from the start.

At Auphonic, our users have to upload large audio and video files, or multiple media files when creating a multitrack production. To minimize any potential issues, we integrated various external services which are specialized for large file transfers, like FTP, SFTP, Dropbox, Google Drive, S3, etc.

To further minimize issues, as of today we have also released resumable and chunked direct file uploads in the web browser to auphonic.com.

If you are not interested in the technical details, please just go to the section Resumable Uploads in Auphonic below.

The Problem with Large File Uploads in the Browser

If using either mobile networks (which remain fragile) or unstable WiFi connections, file uploads are often interrupted and will fail. There are also many areas in the world where connections are quite poor, which makes uploading big files frustrating.

After an interrupted file upload, the web browser must restart the whole upload from the start, which is a problem when it happens in the middle of a 4GB video file upload on a slow connection.
Furthermore, the longer an upload takes, the more likely it is to have a network glitch interrupting the upload, which then has to be retried from the start.

The Solution: Chunked, Resumable Uploads

To avoid user frustration, we need to be able to detect network errors and potentially resume an upload without having to restart it from the beginning.

To achieve this, we have to split a file upload in smaller chunks directly within the web browser, so that these chunks can then be sent to the server afterwards.
If an upload fails or the user wants to pause, it is possible to resume it later and only send those chunks that have not already been uploaded.
If there is a network interruption or change, the upload will be retried automatically.

Companies like Dropbox, Google, Amazon AWS etc. all have their own protocols and API's for chunked uploads, but there are also some open source implementations available, which offer resumable uploads:

resumable.js [link]:

"A JavaScript library providing multiple simultaneous, stable and resumable uploads via the HTML5 File API"
This solutions is a JavaScript library only and requires that the protocol is implemented on the server as well.

tus.io [link]:

"Open Protocol for Resumable File Uploads"
Tus.io offers a simple, cheap and reusable stack for clients and servers (in many languages). They have a blog with further information about resumable uploads, see tus blog.

plupload [link]:

A JavaScript library, similar to resumable.js, which requires a separate server implementation.

We chose to use resumable.js and developed our own server implementation.

Resumable Uploads in Auphonic

If you upload files to a singletrack or multitrack production, you will see the upload progress bar and a pause button, which is one way to pause and resume an upload:

It is also possible to close the browser completely or shut down your computer during the upload, then edit the production and upload the file again later. This will just resume the file upload from the position where it was stopped before.
(Previously uploaded chunks are saved for 24h on our servers, after that you have to start the whole upload again.)

In case of a network problem or if you switch to a different connection, we will resume the upload automatically.
This should solve many problems which were reported by some users in the past!

You can of course also use any of our external services for stable incoming and outgoing file transfers!

Do you still have Uploading Issues?

We hope that uploads to Auphonic are much more reliable now, even on poor connections.

If you still experience any problems, please let us know.
We are very happy about any bug reports and will do our best to fix them!

"This study challenges current perceptions that most people with a sports-related mTBI recover within 10 to 14 days," said lead author Dr. Stephen Kara, from Axis Sports Medicine in Auckland, New Zealand.

Researchers are warning that the coronavirus pandemic could inflict long-lasting emotional trauma on an unprecedented global scale. They say it could leave millions wrestling with debilitating psychological disorders while dashing hopes for a swift economic recovery.

We’re all experiencing varying levels of trauma.

The congressional Brain Injury Task Force, co-chaired by Reps. Bill Pascrell Jr. (D-N.J.) and Don Bacon (R-Neb.), spoke to hundreds of people gathered at the Rayburn House Office Building. One area of focus was the development of a national traumatic brain injury registry, a vital step for getting a handle on how best to manage this difficult-to-treat condition.

Language sets humans apart in the animal world. Language allows us to communicate complex ideas and emotions.  But too often after brain injury be it stroke or trauma, language is lost. 

Listening without judgement is one of the best things you can do for someone with PTSD.

Language sets humans apart in the animal world. Language allows us to communicate complex ideas and emotions.  But too often after brain injury be it stroke or trauma, language is lost. 

Listening without judgement is one of the best things you can do for someone with PTSD.

The pandemic has changed the daily lives of everyone. How we work, how we shop, and how we interact with each other are all shifting. Comparing life as it is now with how it used to be can lead to sadness or despair and what's called "ambiguous loss."

By Julia Conley Common Dreams “Nature is not a ‘nice to have’—it is our life-support system.” Scientists from around the world issued a stark warning to humanity Tuesday in a semi-annual report on the Earth’s declining biodiversity, which shows that … Continue reading →

By Jessica Corbett Common Dreams Far-reaching global assessment details how humanity is undermining the very foundations of the natural world     On the heels of an Earth Day that featured calls for radical action to address the current “age … Continue reading →

By Jake Johnson Common Dreams Rapidly falling insect populations, said Anne Sverdrup-Thygeson, “will make it even more difficult than today to get enough food for the human population of the planet, to get good health and freshwater for everybody.” A … Continue reading →

American Geophysical Union (AGU) Press Release A new study finds human-caused global warming is significantly increasing the rate at which hot temperature records are being broken around the world. Global annual temperature records show there were 17 record hot years … Continue reading →

By Julia Conley Common Dreams “Nature is not a ‘nice to have’—it is our life-support system.” Scientists from around the world issued a stark warning to humanity Tuesday in a semi-annual report on the Earth’s declining biodiversity, which shows that … Continue reading →

By Jessica Corbett Common Dreams Far-reaching global assessment details how humanity is undermining the very foundations of the natural world     On the heels of an Earth Day that featured calls for radical action to address the current “age … Continue reading →

By Jake Johnson Common Dreams Rapidly falling insect populations, said Anne Sverdrup-Thygeson, “will make it even more difficult than today to get enough food for the human population of the planet, to get good health and freshwater for everybody.” A … Continue reading →

Language sets humans apart in the animal world. Language allows us to communicate complex ideas and emotions.  But too often after brain injury be it stroke or trauma, language is lost. 

Listening without judgement is one of the best things you can do for someone with PTSD.

The pandemic has changed the daily lives of everyone. How we work, how we shop, and how we interact with each other are all shifting. Comparing life as it is now with how it used to be can lead to sadness or despair and what's called "ambiguous loss."

My book Creative Calling is out! Thanks for all your love, support, and help getting it out into the world. We kicked off celebrations in Seattle with over 700 people in attendance to talk about Creativity with my good buddy, Humans of New York creator, Brandon Stanton. I recorded the session for you. Hope you enjoy! FOLLOW HUMANS OF NEW YORK: instagram | twitter | website Listen to the Podcast Subscribe   This podcast is brought to you by CreativeLive. CreativeLive is the world’s largest hub for online creative education in photo/video, art/design, music/audio, craft/maker, money/life and the ability to make a living in any of those disciplines. They are high quality, highly curated classes taught by the world’s top experts — Pulitzer, Oscar, Grammy Award winners, New York Times best selling authors and the best entrepreneurs of our times.

The post Imagine What’s Possible – On Stage /w Humans of New York Creator Brandon Stanton appeared first on Chase Jarvis Photography.

We present a method for optimal path planning of human walking paths in mountainous terrain, using a control theoretic formulation and a Hamilton-Jacobi-Bellman equation. Previous models for human navigation were entirely deterministic, assuming perfect knowledge of the ambient elevation data and human walking velocity as a function of local slope of the terrain. Our model includes a stochastic component which can account for uncertainty in the problem, and thus includes a Hamilton-Jacobi-Bellman equation with viscosity. We discuss the model in the presence and absence of stochastic effects, and suggest numerical methods for simulating the model. We discuss two different notions of an optimal path when there is uncertainty in the problem. Finally, we compare the optimal paths suggested by the model at different levels of uncertainty, and observe that as the size of the uncertainty tends to zero (and thus the viscosity in the equation tends to zero), the optimal path tends toward the deterministic optimal path.

Large-scale pretrained language models are the major driving force behind recent improvements in performance on the Winograd Schema Challenge, a widely employed test of common sense reasoning ability. We show, however, with a new diagnostic dataset, that these models are sensitive to linguistic perturbations of the Winograd examples that minimally affect human understanding. Our results highlight interesting differences between humans and language models: language models are more sensitive to number or gender alternations and synonym replacements than humans, and humans are more stable and consistent in their predictions, maintain a much higher absolute performance, and perform better on non-associative instances than associative ones. Overall, humans are correct more often than out-of-the-box models, and the models are sometimes right for the wrong reasons. Finally, we show that fine-tuning on a large, task-specific dataset can offer a solution to these issues.

We propose a new method for realistic human motion transfer using a generative adversarial network (GAN), which generates a motion video of a target character imitating actions of a source character, while maintaining high authenticity of the generated results. We tackle the problem by decoupling and recombining the posture information and appearance information of both the source and target characters. The innovation of our approach lies in the use of the projection of a reconstructed 3D human model as the condition of GAN to better maintain the structural integrity of transfer results in different poses. We further introduce a detail enhancement net to enhance the details of transfer results by exploiting the details in real source frames. Extensive experiments show that our approach yields better results both qualitatively and quantitatively than the state-of-the-art methods.

Robots are required to operate autonomously in response to changing situations. Previously, imitation learning using 4ch-bilateral control was demonstrated to be suitable for imitation of object manipulation. However, cooperative work between humans and robots has not yet been verified in these studies. In this study, the task was expanded by cooperative work between a human and a robot. 4ch-bilateral control was used to collect training data for training robot motion. We focused on serving salad as a task in the home. The task was executed with a spoon and a fork fixed to robots. Adjustment of force was indispensable in manipulating indefinitely shaped objects such as salad. Results confirmed the effectiveness of the proposed method as demonstrated by the success of the task.

We design and implement the first private and anonymous decentralized crowdsourcing system ZebraLancer, and overcome two fundamental challenges of decentralizing crowdsourcing, i.e., data leakage and identity breach.

First, our outsource-then-prove methodology resolves the tension between the blockchain transparency and the data confidentiality to guarantee the basic utilities/fairness requirements of data crowdsourcing, thus ensuring: (i) a requester will not pay more than what data deserve, according to a policy announced when her task is published via the blockchain; (ii) each worker indeed gets a payment based on the policy, if he submits data to the blockchain; (iii) the above properties are realized not only without a central arbiter, but also without leaking the data to the open blockchain. Second, the transparency of blockchain allows one to infer private information about workers and requesters through their participation history. Simply enabling anonymity is seemingly attempting but will allow malicious workers to submit multiple times to reap rewards. ZebraLancer also overcomes this problem by allowing anonymous requests/submissions without sacrificing accountability. The idea behind is a subtle linkability: if a worker submits twice to a task, anyone can link the submissions, or else he stays anonymous and unlinkable across tasks. To realize this delicate linkability, we put forward a novel cryptographic concept, i.e., the common-prefix-linkable anonymous authentication. We remark the new anonymous authentication scheme might be of independent interest. Finally, we implement our protocol for a common image annotation task and deploy it in a test net of Ethereum. The experiment results show the applicability of our protocol atop the existing real-world blockchain.

Previous methods on estimating detailed human depth often require supervised training with `ground truth' depth data. This paper presents a self-supervised method that can be trained on YouTube videos without known depth, which makes training data collection simple and improves the generalization of the learned network. The self-supervised learning is achieved by minimizing a photo-consistency loss, which is evaluated between a video frame and its neighboring frames warped according to the estimated depth and the 3D non-rigid motion of the human body. To solve this non-rigid motion, we first estimate a rough SMPL model at each video frame and compute the non-rigid body motion accordingly, which enables self-supervised learning on estimating the shape details. Experiments demonstrate that our method enjoys better generalization and performs much better on data in the wild.

In a temporal network causal paths are characterized by the fact that links from a source to a target must respect the chronological order. In this article we study the causal paths structure in temporal networks of human face to face interactions in different social contexts. In a static network paths are transitive i.e. the existence of a link from $a$ to $b$ and from $b$ to $c$ implies the existence of a path from $a$ to $c$ via $b$. In a temporal network the chronological constraint introduces time correlations that affects transitivity. A probabilistic model based on higher order Markov chains shows that correlations that can invalidate transitivity are present only when the time gap between consecutive events is larger than the average value and are negligible below such a value. The comparison between the densities of the temporal and static accessibility matrices shows that the static representation can be used with good approximation. Moreover, we quantify the extent of the causally connected region of the networks over time.

This paper illustrates five different techniques to assess the distinctiveness of topics, key terms and features, speed of information dissemination, and network behaviors for Covid19 tweets. First, we use pattern matching and second, topic modeling through Latent Dirichlet Allocation (LDA) to generate twenty different topics that discuss case spread, healthcare workers, and personal protective equipment (PPE). One topic specific to U.S. cases would start to uptick immediately after live White House Coronavirus Task Force briefings, implying that many Twitter users are paying attention to government announcements. We contribute machine learning methods not previously reported in the Covid19 Twitter literature. This includes our third method, Uniform Manifold Approximation and Projection (UMAP), that identifies unique clustering-behavior of distinct topics to improve our understanding of important themes in the corpus and help assess the quality of generated topics. Fourth, we calculated retweeting times to understand how fast information about Covid19 propagates on Twitter. Our analysis indicates that the median retweeting time of Covid19 for a sample corpus in March 2020 was 2.87 hours, approximately 50 minutes faster than repostings from Chinese social media about H7N9 in March 2013. Lastly, we sought to understand retweet cascades, by visualizing the connections of users over time from fast to slow retweeting. As the time to retweet increases, the density of connections also increase where in our sample, we found distinct users dominating the attention of Covid19 retweeters. One of the simplest highlights of this analysis is that early-stage descriptive methods like regular expressions can successfully identify high-level themes which were consistently verified as important through every subsequent analysis.

A new study suggests that vulnerability to CTE is not limited to professional athletes.

[IMAGE-1]Welcome back to the jungle. And welcome to an unfortunate new Christmas movie tradition: the Jumanji movie.…

A “Wearable Electromyography-Based Controller” includes a plurality of Electromyography (EMG) sensors and provides a wired or wireless human-computer interface (HCI) for interacting with computing systems and attached devices via electrical signals generated by specific movement of the user's muscles. Following initial automated self-calibration and positional localization processes, measurement and interpretation of muscle generated electrical signals is accomplished by sampling signals from the EMG sensors of the Wearable Electromyography-Based Controller. In operation, the Wearable Electromyography-Based Controller is donned by the user and placed into a coarsely approximate position on the surface of the user's skin. Automated cues or instructions are then provided to the user for fine-tuning placement of the Wearable Electromyography-Based Controller. Examples of Wearable Electromyography-Based Controllers include articles of manufacture, such as an armband, wristwatch, or article of clothing having a plurality of integrated EMG-based sensor nodes and associated electronics.