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You can vote now for the winner of the 2020 Health Hero challenge.

You can start voting right now for the winner of the 2020 Be Well Philly Health Hero Challenge.

Were thrilled to announce that we now have our three finalists for the 2020 Be Well Philly Health Hero Challenge presented by Independence Blue Cross. Here at Be Well Philly, we constantly strive to highlight people who are helping others in the greater Philadelphia area live healthier and better lives. The Health Hero Challenge is our way of honoring the incredible and often unseen work that people do every day, even in the most challenging of circumstances.

We set out at the beginning of this challenge looking for medical providers, nonprofit leaders, entrepreneurs, teachers, anyone really whos making a difference in our community from a health and wellness perspective. And, you all delivered. You shared powerful personal stories of the heroes making a difference in our community, which led to to the nomination of these three finalists. Now, its time to choose the winner.

Name: Asasiya Muhammad (@thepeoplesmidwife), womens health advocate and midwife at Inner Circle Midwifery (@innercirclephilly), a private home birth practice based in Germantown.

Nonprofit of choice: Maternity Care Coalition. Since 1980, Maternity Care Coalition has assisted more than 135,000 families throughout Southeastern Pennsylvania, focusing particularly on neighborhoods with high rates of poverty, infant mortality, health disparities, and changing immigration patterns. A familys needs change as they go through pregnancy and their childs first years, and MCC offers a range of services and programs for every step along the way.

What motivates you to try to make Philadelphia a healthier place, and what policy would you institute if you could? I cherish Philadelphia as the place where I have had my most life-shaping experiences, some high such as graduating college, becoming a mother, and raising a family and others low. Ive had experiences that have left me feeling isolated, lost, and voiceless. As a Black mother, I have faced the feelings of fear and uncertainty many Black women in Philadelphia face, because of the haunting statistic that we are two times more likely to die during pregnancy, or within a year of giving birth due to pregnancy-related complications. As a midwife, I understand that the majority of these complications are preventable, and therefore have made it my mission to build a community-based a practice that is committed to diminishing this disparity in Philadelphia. My practice is unique in that it has a wraparound care component that bundles nutritional counseling and fitness classes into standard midwifery care.

I would institute a policy that expanded the use of and access to community-based providers and particularly related to those specializing in natural health and food access. This would look like expanding insurance access to providers like midwives, doulas, nutritional counselors, and fitness experts so that these services are both normalized and accessible to a larger part of the population. This would further look like creating sustainable food cooperatives in neighborhoods that are distant from larger markets and who now rely on stores that mostly carry processed foods.

Name: Vicky Borgia, a local doctor who utilizes Direct Primary Care (DPC), an alternative payment model for healthcare services. She specializes in reproductive health, LGBTQIA health and integrative medicine.

Nonprofit of choice: Womens Medical Fund. Racial justice and reproductive justice issues are intertwined. In 1976, Congress banned federal Medicaid coverage for abortion through the Hyde amendment. Then, in 1985, Pennsylvania prohibited state Medicaid coverage for abortion. Since then, Womens Medical Fund has provided funding to thousands of individuals struggling to get by and enrolled in Medicaid. Womens Medical Fund has expanded their mission to include advocacy and community organizing.

What motivates you to try and make Philadelphia a healthier place, and what policies would you institute if you could? I believe that healthcare is a human right. I serve communities that have historically been medically disenfranchised because I can use my skills and education to make changes in a system rife with health inequities. I center access, inclusion and equity in my direct primary care practice, which enables me to take the time I need with my patients and give the care they deserve.

Since it is well-established that racism and other forms of systemic oppression are major factors in increased morbidity, mortality, and generational trauma for all, my policy recommendations focus on dismantling systems of oppression in Philadelphia. This includes reprioritizing city investments from policing and instituting PILOTS where big health and educational nonprofits would volunteer a portion of their revenue to the general fund. These resources could be then be used to fund education and invest in communities by improving access to services, opportunities, food, and healthcare.

Name: Christy Silva, cofounder of Aidans Heart Foundation, a nonprofit committed to providing awareness, education, and support to the communities of the southeast Pennsylvania region and its surrounding area to create heart-safe communities for youth regarding the prevention of, or response to, tragic instances of Sudden Cardiac Arrest.

What motivates you to try to make Philadelphia a healthier place and what policy would you institute if you could ?

My motivation for wanting to make Greater Philadelphia a healthier place actually comes from a tragedy in my family. In September of 2010, my seven-year-old son Aidan, who had no prior health conditions, died without warning from sudden cardiac arrest, or SCA. I had never even heard of SCA prior to his death. As I struggled with my grief and tried to understand why my seemingly healthy child collapsed one sunny Saturday, I plunged into research. I learned that, nationally, approximately one out of every 300 youth has an undetected heart condition that could cause SCA. The American Heart Association quotes that more than 7,000 children under age 18 are struck by SCA each year. This equates to one young person, nearly every hour, every day, every year. Its a little known fact that Sudden Cardiac Arrest (SCA) is the leading cause of death in student athletes on school grounds. As a result of what I learned, I became determined to still be Aidans mom and try to prevent SCA from taking more young lives in our local communities. Im motivated by these facts to do everything possible to decrease the number of preventable deaths in young people in Philadelphia and its surrounding suburbs. I co-founded Aidans Heart Foundation shortly after Aidans death. To date, we have placed 89 AEDs in youth based sports facilities, trained 6,100 youth on how to perform CPR and how to use an AED, and we have partnered with pediatric cardiologists to provide 2,100 free heart screenings to kids and teens in efforts to detect heart conditions through a simple, non-invasive ECG exam.

If I could institute a policy to make Greater Philadelphia a healthier region, it would center around protecting hearts. Annual electrocardiogram exams at every well-child visit, particularly for young athletes; CPR and AED training for all teachers, coaches, instructors, etc. who work with physically active youth; and AED devices available in all schools, child care centers, dance, martial arts, gymnastics and other studios where kids are active, in addition to AEDs being prominently placed on every athletic playing field. These arent impossible tasks, but they do take the awareness of the public, particularly parents, to urge our community leaders and policymakers to implement these measures. We owe it to our kids to keep them safe at play.

Vote now to select your 2020 winner. Remember: the winner will be named the 2020 Health Hero and will receive a $15,000 donation to her charity of choice, and the two runners-up will each receive $2,500 donations to the charities of their choice.

Vote HERE now. (Remember, you can vote once a day until November 16th!) Stay in touch with @bewellphilly and @phillymagevents.

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Meet This Year's Be Well Philly Health Hero Finalists - Philadelphia magazine

Reinforcement learning is a subset of machine learning. It enables an agent to learn through the consequences of actions in a specific environment. It can be used to teach a robot new tricks, for example.

Reinforcement learning is a behavioral learning model where the algorithm provides data analysis feedback, directing the user to the best result.

It differs from other forms of supervised learning because the sample data set does not train the machine. Instead, it learns by trial and error. Therefore, a series of right decisions would strengthen the method as it better solves the problem.

Reinforced learning is similar to what we humans have when we are children. We all went through the learning reinforcement when you started crawling and tried to get up, you fell over and over, but your parents were there to lift you and teach you.

It is teaching based on experience, in which the machine must deal with what went wrong before and look for the right approach.

Although we dont describe the reward policy that is, the game rules we dont give the model any tips or advice on how to solve the game. It is up to the model to figure out how to execute the task to optimize the reward, beginning with random testing and sophisticated tactics.

By exploiting research power and multiple attempts, reinforcement learning is the most successful way to indicate computer imagination. Unlike humans, artificial intelligence will gain knowledge from thousands of side games. At the same time, a reinforcement learning algorithm runs on robust computer infrastructure.

An example of reinforced learning is the recommendation on Youtube, for example. After watching a video, the platform will show you similar titles that you believe you will like. However, suppose you start watching the recommendation and do not finish it. In that case, the machine understands that the recommendation would not be a good one and will try another approach next time.

[Read: What audience intelligence data tells us about the 2020 US presidential election]

Reinforcement learnings key challenge is to plan the simulation environment, which relies heavily on the task to be performed. When trained in Chess, Go, or Atari games, the simulation environment preparation is relatively easy. Building a model capable of driving an autonomous car is key to creating a realistic prototype before letting the car ride the street. The model must decide how to break or prevent a collision in a safe environment. Transferring the model from the training setting to the real world becomes problematic.

Scaling and modifying the agents neural network is another problem. There is no way to connect with the network except by incentives and penalties. This may lead to disastrous forgetfulness, where gaining new information causes some of the old knowledge to be removed from the network. In other words, we must keep learning in the agents memory.

Another difficulty is reaching a great location that is, the agent executes the mission as it is, but not in the ideal or required manner. A hopper jumping like a kangaroo instead of doing what is expected of him is a perfect example. Finally, some agents can maximize the prize without completing their mission.

Games

RL is so well known today because it is the conventional algorithm used to solve different games and sometimes achieve superhuman performance.

The most famous must be AlphaGo and AlphaGo Zero. AlphaGo, trained with countless human games, has achieved superhuman performance using the Monte Carlo tree value research and value network (MCTS) in its policy network. However, the researchers tried a purer approach to RL training it from scratch. The researchers left the new agent, AlphaGo Zero, to play alone and finally defeat AlphaGo 1000.

Personalized recommendations

The work of news recommendations has always faced several challenges, including the dynamics of rapidly changing news, users who tire easily, and the Click Rate that cannot reflect the user retention rate. Guanjie et al. applied RL to the news recommendation system in a document entitled DRN: A Deep Reinforcement Learning Framework for News Recommendation to tackle problems.

In practice, they built four categories of resources, namely: A) user resources, B) context resources such as environment state resources, C) user news resources, and D) news resources such as action resources. The four resources were inserted into the Deep Q-Network (DQN) to calculate the Q value. A news list was chosen to recommend based on the Q value, and the users click on the news was part of the reward the RL agent received.

The authors also employed other techniques to solve other challenging problems, including memory repetition, survival models, Dueling Bandit Gradient Descent, and so on.

Resource management in computer clusters

Designing algorithms to allocate limited resources to different tasks is challenging and requires human-generated heuristics.

The article Resource management with deep reinforcement learning explains how to use RL to automatically learn how to allocate and schedule computer resources for jobs on hold to minimize the average job (task) slowdown.

The state-space was formulated as the current resource allocation and the resource profile of jobs. For the action space, they used a trick to allow the agent to choose more than one action at each stage of time. The reward was the sum of (-1 / job duration) across all jobs in the system. Then they combined the REINFORCE algorithm and the baseline value to calculate the policy gradients and find the best policy parameters that provide the probability distribution of the actions to minimize the objective.

Traffic light control

In the article Multi-agent system based on reinforcement learning to control network traffic signals, the researchers tried to design a traffic light controller to solve the congestion problem. Tested only in a simulated environment, their methods showed results superior to traditional methods and shed light on multi-agent RLs possible uses in traffic systems design.

Five agents were placed in the five intersections traffic network, with an RL agent at the central intersection to control traffic signaling. The state was defined as an eight-dimensional vector, with each element representing the relative traffic flow of each lane. Eight options were available to the agent, each representing a combination of phases, and the reward function was defined as a reduction in delay compared to the previous step. The authors used DQN to learn the Q value of {state, action} pairs.

Robotics

There is an incredible job in the application of RL in robotics. We recommend reading this paper with the result of RL research in robotics. In this other work, the researchers trained a robot to learn policies to map raw video images to the robots actions. The RGB images were fed into a CNN, and the outputs were the engine torques. The RL component was policy research guided to generate training data from its state distribution.

Web systems configuration

There are more than 100 configurable parameters in a Web System, and the process of adjusting the parameters requires a qualified operator and several tracking and error tests.

The article A learning approach by reinforcing the self-configuration of the online Web system showed the first attempt in the domain on how to autonomously reconfigure parameters in multi-layered web systems in dynamic VM-based environments.

The reconfiguration process can be formulated as a finite MDP. The state-space was the system configuration; the action space was {increase, decrease, maintain} for each parameter. The reward was defined as the difference between the intended response time and the measured response time. The authors used the Q-learning algorithm to perform the task.

Although the authors used some other technique, such as policy initialization, to remedy the large state space and the computational complexity of the problem, instead of the potential combinations of RL and neural network, it is believed that the pioneering work prepared the way for future research in this area

Chemistry

RL can also be applied to optimize chemical reactions. Researchers have shown that their model has outdone a state-of-the-art algorithm and generalized to different underlying mechanisms in the article Optimizing chemical reactions with deep reinforcement learning.

Combined with LSTM to model the policy function, agent RL optimized the chemical reaction with the Markov decision process (MDP) characterized by {S, A, P, R}, where S was the set of experimental conditions ( such as temperature, pH, etc.), A was the set of all possible actions that can change the experimental conditions, P was the probability of transition from the current condition of the experiment to the next condition and R was the reward that is a function of the state.

The application is excellent for demonstrating how RL can reduce time and trial and error work in a relatively stable environment.

Auctions and advertising

Researchers at Alibaba Group published the article Real-time auctions with multi-agent reinforcement learning in display advertising. They stated that their cluster-based distributed multi-agent solution (DCMAB) has achieved promising results and, therefore, plans to test the Taobao platforms life.

Generally speaking, the Taobao ad platform is a place for marketers to bid to show ads to customers. This can be a problem for many agents because traders bid against each other, and their actions are interrelated. In the article, merchants and customers were grouped into different groups to reduce computational complexity. The agents state-space indicated the agents cost-revenue status, the action space was the (continuous) bid, and the reward was the customer clusters revenue.

Deep learning

More and more attempts to combine RL and other deep learning architectures can be seen recently and have shown impressive results.

One of RLs most influential jobs is Deepminds pioneering work to combine CNN with RL. In doing so, the agent can see the environment through high-dimensional sensors and then learn to interact with it.

CNN with RL are other combinations used by people to try new ideas. RNN is a type of neural network that has memories. When combined with RL, RNN offers agents the ability to memorize things. For example, they combined LSTM with RL to create a deep recurring Q network (DRQN) for playing Atari 2600 games. They also usedLSTM with RL to solve problems in optimizing chemical reactions.

Deepmind showed how to use generative models and RL to generate programs. In the model, the adversely trained agent used the signal as a reward for improving actions, rather than propagating gradients to the entry space as in GAN training. Incredible, isnt it?

Reinforcement is done with rewards according to the decisions made; it is possible to learn continuously from interactions with the environment at all times. With each correct action, we will have positive rewards and penalties for incorrect decisions. In the industry, this type of learning can help optimize processes, simulations, monitoring, maintenance, and the control of autonomous systems.

Some criteria can be used in deciding where to use reinforcement learning:

In addition to industry, reinforcement learning is used in various fields such as education, health, finance, image, and text recognition.

This article was written by Jair Ribeiro and was originally published on Towards Data Science. You can read it here.

Published October 27, 2020 10:49 UTC

Originally posted here:

What the hell is reinforcement learning and how does it work? - The Next Web

Artificial Intelligence (AI) is a field that requires no introduction. AI has ridden the tailcoats of Moores Law which states that the speed and capability of computers can be expected to double every two years. Since 2012, the amount of compute used in the largest AI training runs has been increasing exponentially with a doubling every 3 to 4 months, with the end result that the amount of computing resources allocated to AI has grown by 300,000x since 2012. No other industry can compare with these growth statistics.

We will explore what fields of AI are leading this acceleration, what companies are best positioned to take advantage of this growth, and why it matters.

Machine learning is a subfield of AI which is essentially programming machines to learn. There are multiple types of machine learning algorithms, the most popular by far is deep learning, this involves feeding data into an Artificial Neural Network (ANN). An ANN is a very compute intensive network of mathematical functions joined together in a format inspired by the neural networks found in the human brain.

The more big data that is fed into an ANN, the more precise the ANN becomes. For example, if you are attempting to train an ANN to learn how to identify cat pictures, if you feed the network 1000 cat pictures the network will have a small level of accuracy of perhaps 70%, if you increase it to 10000 pictures, the level of accuracy may increase to 80%, if you increase it by 100000 pictures, then you have just increased the accuracy of the network to 90%, and onwards.

Herein lies one of the opportunities, companies that dominate the field of AI chip development are naturally ripe for growth.

There are many other types of machine learning that show promise, such as reinforcement learning, this is training an agent through the repetition of actions and associated rewards. By using reinforcement learning an AI system can compete against itself with the intention of improving how well it performs. For example, a program playing chess will play against itself repeatedly, with every instance of the gameplay improving how it performs in the next game.

Currently the best types of AI use a combination of both deep learning and reinforcement learning in what is commonly referred to as deep reinforcement learning. All of the leading AI companies in the world such as Tesla use some type of deep reinforcement learning.

While there are other types of important machine learning systems that are currently being advanced such as meta-learning, for the sake of simplicity deep learning and its more advanced cousin deep reinforcement learning are what investors should be most familiar with. The companies that are at the forefront of this technological advancement will be best positioned to take advantage of the huge exponential growth we are witnessing in AI.

If there is one differentiator between companies that will succeed, and become market leaders, and companies that will fail, it is big data. All types of machine learning are heavily reliant on data science, this is best described as a process of understanding the world from patterns in data. In this case the AI is learning from data, and the more data the more accurate the results. There are some exceptions to this rule due to what is called overfitting, but this is a concern that AI developers are aware of and take precautions to compensate for.

The importance of big data is why companies such as Tesla have a clear market advantage when it comes to autonomous vehicle technology. Every single Tesla that is in motion and using auto-pilot is feeding data into the cloud. This enables Tesla to use deep reinforcement learning, and other algorithm tweaks in order to improve the overall autonomous vehicle system.

This is also why companies such as Google will be so difficult for challengers to dethrone. Every day that goes by is a day that Google collects data from its myriad of products and services, this includes search results, Google Adsense, Android mobile device, the Chrome web browser, and even the Nest thermostat. Google is drowning is more data than any other company in the world. This is not even counting all of the moonshots they are involved in.

By understanding why deep learning and data science matters, we can ten infer why the companies below are so powerful.

There are three current market leaders that are going to be very difficult to challenge.

Alphabet Inc is the umbrella company for all Google products which includes the Google search engine. A short history lesson is necessary to explain why they are such a market leader in AI. In 2010, a British company DeepMind was launched with the goal of applying various machine learning techniques towards building general-purpose learning algorithms.

In 2013, DeepMind took the world by storm with various accomplishments including becoming world champion at seven Atari games by using deep reinforcement learning.

In 2014, Google acquired DeepMind for $500 Million, shortly thereafter in 2015 DeepMinds AlphaGo became the first AI program to defeat a professional human Go player, and the first program to defeat a Go world champion. For those who are unfamiliar Go is considered by many to be the most challenging game in existence.

DeepMind is currently considered a market leader in deep reinforcement learning, and Artificial General Intelligence (AGI), a futuristic type of AI with the goal of eventually achieving or surpassing human level intelligence.

We still need to factor in the other other types of AI that Google is currently involved in such as Waymo, a market leader in automonous vehicle technology, second only to Tesla, and the secretive AI systems currently used in the Google search engine.

Google is currently involved in so many levels of AI, that it would take an exhaustive paper to cover them all.

As previously stated Tesla is taking advantage of big data from its fleet of on-road vehicles to collect data from its auto-pilot. The more data that is collected the more it can improve using deep reinforcement, this is especially important for what are deemed as edge cases, this is known as scenarios that dont happen frequently in real-life.

For example, it is impossible to predict and program in every type of scenario that may happen on the road, such as a suitcase rolling into traffic, or a plane falling from the sky. In this case there is very little specific data, and the system needs to associate data from many different scenarios. This is another advantage of having a huge amount of data, while it may be the first time a Tesla in Houston encounters a scenario, it is possible that a Tesla in Dubai may have encountered something similar.

Tesla is also a market leader in battery technology, and in electric technology for vehicles. Both of these rely on AI systems to optimize the range of a vehicle before a recharge is required. Tesla is known for its frequent on-air updates with AI optimizations that improve by a few percentage points the performance and range of its vehicle fleet.

As if this was not sufficient, Tesla is also designing its own AI chips, this means it is no longer reliant on third-party chips, and they can optimize chips to work with their full self-driving software from the ground up.

NVIDIA is the company best positioned to take advantage of the current rise in demand in GPU (Graphics processing unit) chips, as they are currently responsible for 80% of all GPUsales.

While GPUs were initially used for video games, they were quickly adopted by the AI industry specifically for deep learning. The reason GPUs are so important is that the speed of AI computations is greatly enhanced when computations are carried out in parallel. While training a deep learning ANN, inputs are required and this depends heavily on matrix multiplications, where parallelism is important.

NVIDIA is constantly releasing new AI chips that are optimized for different use cases and requirements of AI researchers. It is this constant pressure to innovate that is maintaining NVIDIA as a market leader.

It is impossible to list all of the companies that are involved in some form of AI, what is important is understanding the machine learning technologies that are responsible for most of the innovation and growth that the industry has witnessed. We have highlighted 3 market leaders, many more will come along. To keep abreast of AI, you should stay current with AI news, avoid AI hype, and understand that this field is constantly evolving.

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Investing in Artificial Intelligence (AI) - Everything You Need to Know - Securities.io

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The world was on this brink of this fiery hell when Jordan Peterson read Solzhenitsyn and began to turn from despair toward hope.

It was Solzhenitsyn who most crucially made the case that the terrible excesses of Communism could not be conveniently blamed on the corruption of the Soviet leadership, the cult of personality surrounding Stalin, or the failure to put the otherwise stellar and admirable utopian principles of Marxism into proper practice. It was Solzhenitsyn who demonstrated that the death of millions and the devastation of many more were, instead, a direct causal consequence of the philosophy (worse, perhaps: the theology) driving the Communist system. The hypothetically egalitarian, universalist doctrines of Karl Marx contained hidden within them sufficient hatred, resentment, envy and denial of individual culpability and responsibility to produce nothing but poison and death when manifested in the world

An excerpt from Jordan Petersons foreword to the 50th Anniversary edition of Solzhenitsyns The Gulag Archipelago

Make no mistake, thems fightin words. This fierce sermon about the gospel written by one of mankinds greatest uncanonized saints, Aleksandr Solzhenitsyn, was an impetus for naming my biography of Dr. Peterson Savage Messiah. Under the guise of a mild-mannered college professor, Peterson preached the scripture of the prophets: bloody, accusatory, inflammatory, unflinching writings revolting to non-believers but manna to the faithful.

In Solzhenitsyn, Peterson found an eyewitness to the prophecy that hell on earth would reign in the 20th century as prophesied by Friedrich Nietzsche, another tormented and unsung saint of the Peterson catechism. When Nietzsche proclaimed God is Dead in 1882, he actually wrote:

God is dead. God remains dead. And we have killed him. How shall we comfort ourselves, the murderers of all murderers? What was holiest and mightiest of all that the world has yet owned has bled to death under our knives: who will wipe this blood off us. What water is there for us to clean ourselves?

Nietzsche was not gloating over the death of God as so many atheists celebrated. It was a warning, a curse. His vision accurately foreshadowed the coming 20th centurys depravities of Marxism, Communism, Socialism, Nazism, fascism, nihilism, world wars, race wars, mustard gas, Zyklon B, race lynchings, killing fields, concentration camps and gulags. All of them were creations of the 20th century when hate flourished, when haters found a place to hang their hate. Solzhenitsyn suffered through some of them personally. He survived to see all of them happen in his lifetime and refused to look away.

Solzhenitsyn eventually found solace and redemption in Christianity. He took crucified humanity down from its cross, laid it in a proper grave and carved its headstone. He identified the source of evil for a new generation and proclaimed it as the evil that runs through every human heart. For Nietzsche, the Enlightenment had killed God, supplanting his grace and wisdom with human pride and arrogance. Solzhenitsyn personally paid the price for this.

In Solzhenitsyns footsteps, young Jordan Peterson found the path that led away from the coming, ultimate human folly of the 20th century: mutually assured destruction, nuclear global annihilation. This pinnacle of fatal human arrogance finally revealed that hell was, indeed, now on earthand even admitted in its name that insanity was now official policy.

This terror had tormented young Peterson since grade school in the 1970s. He suffered nightmares of charred bodies, ravenous dogs, and a vaporized world of eternal winter. In 1974, Solzhenitsyns The Gulag Archipelago was published in the West. It had already been circulated hand-to-hand in secret, mimeographed copies, a death warrant if discovered. It corroded the foundations of the tottering Marxist Soviet Union with every new pair of hands that touched it. Eventually, it was instrumental in collapsing the Evil Empire. And like the prophet Jeremiahs Old Testament Book of Lamentations, it showed how Gods people had forsaken him, how they now worshipped idols like Joseph Stalin, and how they were prepared to burn their children in an offering to Moloch, the idol of child sacrifice.

The world was on this brink of this fiery hell when Jordan Peterson read Solzhenitsyn and began to turn from despair toward hope. Peterson had found the true enemy. It was not Russia. It was the inherent evil that ran through every human heart, as Solzhenitsyn said. With the help of Solzhenitsyn, Nietzsche, Carl Jung, child psychologist Jean Piaget and many others, Peterson began to crack the code that revealed the enemys strategy.

Stepping back from his own brink of hellish insanity, Peterson committed his life to healing human hearts and minds that had become infected with evil. He became a psychologist and social scientist. As he grew in his experience with severely mentally ill patients, he found ways of strengthening them against the many types of purposeful and random evil in the world. To university students, he began to teach what he had learned from these great prophets of the human struggle. He started with the ancient archetypes of good and evil that populated mankinds collective unconscious discovered by Carl Jung.

Then, following Solzhenitsyn more closely, Peterson began to use the Jewish and Christian Bible as the library of archetypes from our collective unconscious. He began at the beginning with the Book of Genesis and the logos, the word of God that went out over the waters and created order from chaos. Then, in the Garden of Eden, he saw the warning against the tempting snake of moral corruption, the resulting arrogance before God and its product, the fall of mankind. But, unlike Solzhenitsyn, Peterson continued to maintain his distance from a personal belief in God. In summary, he has said that he did not yet feel he had the personal understanding to believe in God. He just could not accept that God existed based on faith alone. He had not resolved the mystery of God for himself. But he was close.

Perhaps it is the level of suffering that eventually drives one to his knees in submission, in pleading for guidance from God. One suspects that was the case with Solzhenitsyn. New revelations point to the possibility that Peterson may have recently suffered enough to again follow closely in the footsteps of Solzhenitsyn, this time into the mystery of God.

For the past year and some months, Peterson has suffered the horrendous side-effects from the long-term prescribed use of benzodiazepines. Common trade names for this drug began with Librium, later became Valium, then Xanax. Now, there are nearly 100 other names. It is one of the most commonly prescribed drugs in the world and is considered to be a safe, minor tranquilizer. Yet, prescribed benzodiazepines might also be consideredas in Petersons own casean example of the random, inexplicable malevolence of life, like natural disasters, that stalk human beings along with human-generated evil.

Peterson has recently announced on YouTube that he is sufficiently healthy now to return to public life. In that video, he speaks of Gods grace and mercy that allowed him to survive and regain most of his mental and physical abilities. Again, we see that Solzhenitsyn may have been pivotal in leading Peterson away from madness and self-destruction, first as a young man rescued from nihilism and despair in the contemplation of nuclear holocaust and now as a grandfather redeemed from soul-destroying drug addiction.

As was noted at the beginning of this piece, Peterson wrote the foreword to the 50th anniversary authorized and abridged version of The Gulag Archipelago. As perhaps a testament to Petersons lifelong commitment to teaching the text and principles of Solzhenitsyns masterpiece, he received, the greatest honor of my life in being invited to write the foreword. It seems like the evil that runs through every human heart has mysteriously bound these two great minds together. What they have witnessed individuallyfrom the corrupted morality in human evil to the random malevolence extant in the world at-largehas brought them together in their private ways before God. May God and every human heart bless and cherish their lives, their memory, and our future together, thanks in part to them.

Jim Proseris the author of Savage Messiah: How Dr. Jordan Peterson Is Saving Western Civilization and No Better Friend, No Worse Enemy: The Life of General James Mattis.

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Jordan Peterson and the Return of Solzhenitsyn - Merion West

Randy Sharer can attest. My longtime colleague at The Pantagraph, Sharer interviewed Loy and saw him in action more than any other media member.

He watched Loy mentor a multitude of all-staters and All-Americans at the high school and club levels, marveling at his ability to connect with swimmers of all ages.

He was one of those guys who was just born to coach, Sharer said. He had that enthusiasm for every single kid. Even with the 12-and-under kids, he knew their times and what was a good time. It was never work to him it didnt seem like. He could just work forever and all of those practices where they get up so early in swimming, that was nothing to him because he loved it.

Its the only way you become the longest tenured coach at BHS. John Szabo, the Purple Raiders retired athletic director, has coached track and cross country at the school for 40 years. He said he ranks second to Loys 41 years as a BHS coach.

He touched a lot of lives in our community, Szabo said. He loved being around kids. He loved them and they always respected him and worked hard for him.

Current BHS athletic director Tony Bauman called Loys death a huge shock for all of us, adding, Trying to comprehend what he meant to everybody is saddening.

He impacted people in such a positive way, Bauman said. For athletes we have swimming now, some of their parents swam for Bob. To hear their stories and the way he impacted them and then to have him coach their kids, it was a meaningful thing for their families.

See more here:

Kindred: Bob Loys legacy? His lifes work will live on - The Pantagraph

WHAT the Meteorettes managed to do on the road at the weekend cannot be overstated.

To even the basketball layman, the numbers paint a compelling picture.

Those are 22 and 28 - the margins of victory over rivals Bundaberg and Gladstone.

Also 623 and 186 - kilometres covered in a bus, just to be there.

It amounted to two wins, from 120 gruelling minutes played, all inside 24 hours.

With just seven players to choose from.

In this era of competition, what Scott McKenzie's team achieved at the weekend should not have been possible.

While their rivals welcomed some temporary imports from the Sunshine Coast and Brisbane to bolster their ranks, the Meteorettes were forced to make do with a skeleton crew.

Their young guns travelled in the opposition direction, to Townsville, for U18 representative duties.

It left the senior Meteorettes with just two on the bench for their toughest road trip on the ConocoPhillips CQ Cup calendar.

And yet somehow, the Meteorettes got through unscathed. Not only that, but they dominated once again.

They defied the odds and expectation to again prove Mackay deserves to be considered one of the best female basketball programs in Queensland.

Jordan Peterson overcame an ankle injury to play a key role in the Meteorettes win over Gladstone on Sunday. Photo: Callum Dick

Read more:

Rasmussen 'better than ever' in season 14 as a Meteor

Gamblin thriving as 'the man' in new Meteors set-up

"I was extremely nervous. I thought it was going to be a tough weekend for us," McKenzie admitted.

"We knew Bundaberg had brought in a player and Gladstone another couple. We only had seven."

Then Jordan Peterson went over on her ankle on Saturday night and the Meteorettes faced the very real prospect of rotating just one off the bench on Sunday.

"I asked on Sunday 'are you any good?' and she said 'I've strapped it up tight - I'm ready to go'," McKenzie recalled.

"When we were in a bit of a run on Sunday, she came in and made a difference for us.

"I was really proud of her effort this weekend."

Peterson's selfless act was one of a long line of gutsy performances from the seven-strong squad which flew the flag for Mackay at the weekend.

Not only will the winning road double be a big boost to the team's confidence, it should also strike fear in their rivals.

With the deck stacked against them, the Meteorettes proved too good.

It has the group well poised to continue toward its "ultimate goal", which is an inaugural CQ Cup crown and confirmation as the best.

"That's obviously the ultimate goal and we've put ourselves in a position now to do that," McKenzie said.

"Realistically if we come out next week and win at home, we'll sew up top spot. That gives us a home semi - win that, and it's a home grand final. That's always been the goal."

The Meteors and Meteorettes will enjoy a well-deserved bye this weekend, before returning to The Crater on November 7.

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I continue my account of a party sent in 1872 by President Brigham Young to rededicate Palestine for the return of the Jews. It included George A. Smith of the First Presidency, Lorenzo Snow and Albert Carrington of the Twelve, and the poet and Relief Society president Eliza R. Snow:

Their travels took them to England, Holland, Belgium, France, Bavaria and other parts of Germany, Austria, Russia, Greece, Egypt, Turkey, and Syria. The journey was strenuous, but the little party of Latter-day Saint tourists seems to have retained a sense of humor. In Egypt, their Coptic Christian guide took them to an area near the modern city of Heliopolis, the biblical On, where he showed them an ancient sycamore tree. This, he informed them, was the very tree under which Mary, Joseph, and the infant Jesus had camped during their flight into Egypt. Mary had bathed in the nearby well and, although it had only given brackish and undrinkable water before, from that time forward its water had become sweet and good. President Smith tasted it and agreed that the water was excellent, reminding him of the big spring at Saint George. There was just one thing lacking, to his taste. I remarked to the man I really wished she had made it cold while she was about it, for a drink of cold water would have been very refreshing just then. This cost me one franc.[1]

In Palestine itself, the apostolic party visited the traditional home of Simon the Tanner in Jaffa, where the Apostle Peter had received his important vision of the sheet let down from heaven that opened the way for the preaching of the gospel to the Gentiles. While there, they asked the Arab caretaker of the house whether Peter had been a Muslim. Yes, he replied, pointing to a mihrab niche in the wall of the building as the place where the apostle had prayed.[2] They saw the beautiful orange groves in the vicinity of Jaffa. They spent a night at the monastery of Mar Saba near Bethlehem, and, in that town itself, they went to the Grotto of the Nativity, which local tradition identifies as the precise spot of Christs birth. They were struck by the remarkable similarity between the Dead Sea and their own Great Salt Lake. They noted that Palestines Jordan River was smaller than Utahs and rather barren in its surroundings. We used to sing about the flowery banks of Jordan, said President Smith, but it takes off the romance to go and see them.[3] Lorenzo Snow especially liked the Arab town of Nablus. He was attracted to its setting in a relatively verdant and well-watered valley, surrounded by olive trees, fruit orchards, and various gardens, as well as by its white domes, its mosques, and its many minarets. But the hilly scenery, while picturesque, made for difficult travel. I have seen a good many rough roads in Utah in the mountains, recalled President Smith, but of all the rough horseback riding I ever did see, I think that Palestine has the premium.[4] Still, beyond all the discomforts of touring in the Holy Land, there was the marvelous sense, felt by hundreds of thousands of pilgrims before and since, of walking in the very footsteps of Jesus and the personalities of the Bible. I cannot communicate to any extent, President Smith later remarked,

the impressions I felt at the time. I had no doubt that I passed over the grounds where the Savior and his Apostles, and the Prophets, kings and nobles of Israel had lived, although I did not believe a great deal about the identical spots set down by the monks, yet I was satisfied that I was in the localities in which the great events of scripture took place.[5]

On Sunday morning, 2 March 1873, President Smith arranged with their guide to take a tent, a table, several chairs, and a carpet up onto the Mount of Olives. He and his companions rode up the slope on horseback. When all was ready, and after Elder Carrington had offered an invocation, President Smith led them in a prayer rededicating the land of Palestine for the return of the Jews. When on the Mount of Olives with our faces bowed toward Jerusalem, he later reported to the Saints back in Utah,

we lifted our prayers to God that he would preserve you and confound your enemies. We felt in our hearts that Zion was onward and upward, and that no power could stay her progress; that the day was not far distant when Israel would gather, and those lands would begin to teem with a people who would worship God and keep his commandments; that plenty and the blessings of eternity would be poured out bounteously upon that desert land, and that all the prophecies concerning the restoration of the house of Israel would be fulfilled.[6]

After President Smiths prayer, the other brethren prayed in turn, confirming and repeating his supplications for themselves and on behalf of scattered Judah. Their assigned task completed, the party then returned to the mountains of North America. The memories of their visit to Palestine remained with them, however. As a relatively recent biographer of Lorenzo Snow puts it:

Lorenzos words and conduct during the quarter of a century of life that was to remain after his Palestine tour reflected the lasting impression this trip had made upon him. The experience transformed him into a man more sensitive to the reality of Jesus earthly life and ministry Thereafter, his sermons that developed themes of biblical history or doctrine would have greater depth of meaning because of his direct exposure to the ancient land of the prophets and the patriarchs But, more germane to his highest role as a special witness of Jesus Christ, were the spiritual assurances and illuminations he had received of the Saviors divinity and Godhood that had come to him as he had visited the historic places where the great Messianic drama had been enacted. These would ever be in his heart and his minds eye in the years ahead as he served and bore testimony of the Master.[7]

[1] Journal of Discourses 16:91.

[2] Journal of Discourses 16:92.

[3] Journal of Discourses 16:100. Mark Twain was similarly unimpressed by Palestinian geography. When I was a boy, he recalled in his travel memoir The Innocents Abroad, I somehow got the impression that the river Jordan was four thousand miles long and thirty-five miles wide. It is only ninety miles long, and so crooked that a man does not know which side of it he is on half the time It is not any wider than Broadway in New York. There is the Sea of Galilee and this Dead Sea neither of them twenty miles long or thirteen wide. And yet when I was in Sunday school I thought they were sixty thousand miles in diameter. See Mark Twain, The Innocents Abroad/Roughing It (New York: Literary Classics of the United States, 1984). We have many misconceptions about the region. Every Christmas, Latter-day Saints sing of a sacred event that took place Far, Far Away on Judeas Plains. But Judea is hill country, with hardly a flat spot in it.

[4] Journal of Discourses 16:98.

[5] Journal of Discourses 16:100.

[6] Journal of Discourses 16:102.

[7] Francis M. Gibbons, Lorenzo Snow: Spiritual Giant, Prophet of God (Salt Lake City: Deseret Book, 1982), 138, 148.

Posted from St. George, Utah

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Revision 8.2 A further note on the rededication of Palestine - Patheos

Police & Courts

Oct 31, 2020

Butler Township

Cumulus Wireless Services Inc. to Cumulus Media Tower Co. LLC, 50 acres and other commercial structures on Winona Road; $45,540

Center Township

Richard Rhodes, et al, to Arthur Clendenning Jr., home and land on state Route 517; $171,000

Tad Rose to Dave and Inez Rose, residential vacant land on Allen Avenue; $6,500

Columbiana

Firestone Homestead LLC to Elefterios and Katina Kokkinos, residential vacant land on Homestead; $62,000

Steven A. Hopper to Grant and Jessica Wilson, home on West Park Avenue; $82,000

David Ours to Susan and Robert Hall, home on Apache Lane; $197,000

Liza Hiznay to Terrence and Patricia Brown, home on Fairfield School Road; $52,000

John W. Rose to Jeffrey and Rachel Davidson, residential vacant land on Juniper Drive; $45,000

Craig Susany, et al, to Elda Cather, residential vacant land; $60,000

East Liverpool

Alan Huff to Melissa Hornbeck, home on Lisbon Street; $22,500

John and Bonnie Wern to Thelma and Donald Leport Sr., home and other residential structures on Erie Street; $15,000

Elkrun Township

Paul Duncan to Paul Duncan and Claude Kidder, et al, 16 acres on Miller Road; $38,000

Jennifer and Frank Morrell Sr. to Frank Morrell Jr., home on Roller Coaster Road; $165,000

Fairfield Township

Taralyn Anderson to Robert Whittenberger, house trailer or mobile home on Fairfield School Road; $30,000

Hanover Townhsip

Josephine M. Whinery to Samantha Tullis, home trailers or mobile homes on Teegarden Road; $123,500

George Bickis to Brian and Rebecca Bostick, residential vacant land on Ridge Place; $25,000

Hanoverton

Reatha Soltis to Erin Hartzell and Brett Waller, home on Plymouth Street; $135,000

Knox Township

Joyce Olesky, trustee, to Karrin Stephens, home on Center Road; $232,500

Lisbon

Patricia A. Coleman to Cindy and Wayne Wallace Jr., home on Maple Street; $12,000

Liverpool Township

Darlene and Aaron Bunfill to Robert and Mildred Thornton, home on Meadow Road; $168,000

Patricia Davisson FKA Patricia Ammon to Heather Johnson, home and land on Chester Street; $30,000

Middleton Township

Russell T. Kiko, trustee, to Harold R. Feezle, 11.5 acres on Spruceville Road; $85,000

Nancy Tondy to Joseph and Danielle Barber, house trailers or mobile homes and other residential structures on Quay Road; $134,000

New Waterford

Charles and Lori Souder to Joseph Mong, home on State Street; $95,000

Philip Kimmel and Jordan Jessop to Philip Kimmel, home on Silliman Street; $31,000

Perry Township

Cumulus Wireless Services Inc. to Cumulus Broadcasting LLC, other commercial structures on state Route 344; $27,200

Salem

Karey J. Walp to Ryan Connolly, home on Washington Avenue; $115,000

Salem Township

Dennis J. Holt to Dennis J. Holt and James and Nancy McNally, home on Glenview Lane; $16,000

Salineville

Gregory Butler, et al, to Sarah Standish, home on Maple Hill Road; $113,197

St. Clair Township

Calcutta Development LLC to Brad and Ashley McNear, joint, 13 acres on Field Stone Drive; $53,800

Amy Smith, trustee, to Kaddie Barnard and Michael Rogowski, home and land on Milton Avenue; $198,000

Carol Anderson and Justin Reuter to Justin Reuter, home and land on Cannons Mills Road; $40,000

Shawn and Emily Peterson to Robert McCoy, home on Staunton Avenue; $7,000

Washington Township

Audrey J. Maher, et al, to Kenneth and Christina Henry, 28 acres on Hazel Run Road and Haiti Road; $71,650

James Smith, et al, to Rodney and Lori Burnside, 43 acres on Walnut Ridge Road; $355,000

Yellow Creek Township

Eli and Barbara Sommers to Matt and Sarah Miller, agricultural vacant land on Rochester Road; $15,570

Heather Snedden and Nathan McGraw to Nathan McGraw, residential vacant land on Commerce Street; $6,400

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Property transfers | News, Sports, Jobs - The Review

Sunday updates will begin when teams start releasing official pregame inactives and starter information to the league. This is typically around 60-90 minutes prior to the kickoff of their game.

Early games: RB Damien Harris (active), RB Frank Gore (active), TE Tyler Higbee (active) Afternoon games: RB Chris Carson (inactive), RB Phillip Lindsay (active) Sunday night: none Monday night: none

Kickoff Weather: 49 degrees, rain

Inactives: OT Derwin Gray, CB Mike Hilton, FS Jordan Dangerfield, QB Joshua Dobbs, LB Ulysees Gilbert III, DT Carlos Davis and TE Zach Gentry

Lineup notes: TE Eric Ebron (elbow), WR Diontae Johnson (toe) and WR JuJu Smith-Schuster (knee) missed some practice time but made it back Friday. All are off the report.

Inactives: DL Jihad Ward, QB Trace McSorley, C Trystan Colon-Castillo, DL Justin Ellis, OG Ben Bredeson, DT Broderick Washington and RB Mark Ingram

Lineup notes: RB Mark Ingram (ankle) didnt practice all week and is inactive for Week 8.

Kickoff Weather: 45 degrees, rain

Inactives: S Kyle Dugger, TE Devin Asiasi, QB Brian Hoyer, CB Stephon Gilmore, DT Carl Davis, WR NKeal Harry and TE Dalton Keene

Lineup notes: WR Julian Edelman (knee) is out this week after surgery to clean up his knee, and he has gone on Injured Reserve. Expect him to miss multiple games. WR NKeal Harry (concussion) is out as well. RB Damien Harris (ankle) is questionable after being limited all week, but hes available. CB Stephon Gilmore (knee) has been downgraded to out.

Inactives: DE A.J. Epenesa, S Micah Hyde, CB Josh Norman, OT Cody Ford, DL Vernon Butler, QB Jake Fromm and RB T.J. Yeldon

Lineup notes: QB Josh Allen (shoulder) and WR John Brown (knee) practiced fully all week and are not on the injury report.

Kickoff Weather: 47 degrees, cloudy

Inactives: S Dane Cruikshank, C Daniel Munyer, DE Matt Dickerson, CB Tye Smith, LB Derick Roberson and TE Geoff Swaim

Lineup notes: WR A.J. Brown (knee) practiced Friday and is not on the injury report.

Inactives: RB Joe Mixon, WR John Ross, OT Jonah Williams, PK Austin Seibert, OT Mike Jordan, OG Trey Hopkins and OT Bobby Hart

Lineup notes: RB Joe Mixon (foot) was ruled out once again for Week 8. WR John Ross (illness) was out of practice Thursday and Friday and is unavailable. Both starting offensive tackles also are unable to play.

Kickoff Weather: 44 degrees, light rain, 25 mph winds

Inactives: CB Rico Gafford, LB Arden Key, QB Marcus Mariota, WR Bryan Edwards, OT Trent Brown and S Dallin Leavitt

Lineup notes: WR Bryan Edwards (foot, ankle) is not quite ready yet. RB Josh Jacobs (knee) was limited as well, but hes off the injury report.

Inactives: LB Jacob Phillips, TE Austin Hooper, DE Joe Jackson, CB Jovante Moffatt and OG Wyatt Teller

Lineup notes: WR Odell Beckham Jr. (knee) was placed on Injured Reserve with a torn anterior cruciate ligament and will miss the rest of the year. TE Austin Hooper (abdomen) is out again. RB Kareem Hunt (ribs) was limited Wednesday and Thursday but practiced fully Friday. Hes good to go. TE David Njoku (knee) was a full-go all week and is fine. WR Jarvis Landry (hip) was limited Wednesday and Thursday but a full-go Friday and will play.

Kickoff Weather: Dome stadium

Inactives: DE RonDell Carter, WR Dezmon Patmon, TE Noah Togiai, CB Tremon Smith and QB Jacob Eason

Lineup notes: TE Mo Alie-Cox (knee) is questionable after being limited in practice Thursday and Friday. He is active.

Inactives: QB David Blough, WR Quintez Cephus, CB Desmond Trufant, OG Logan Stenberg and CB Mike Ford

Lineup notes: RB Adrian Peterson (abdomen) was limited Thursday but practiced fully Friday and is off the report.

Kickoff Weather: 33 degrees, overcast, 25 mph winds

Inactives: DE Jordan Brailford, OL Olisaemeka Udoh, CB Chris Jones, S Curtis Riley, CB Holton Hill, WR Dan Chisena and WR Tajae Sharpe

Lineup notes: RB Dalvin Cook (groin) made it back to a full practice Friday, and hes ready to roll. WR Adam Thielen (shoulder) was a full-go all week and is off the report.

Inactives: RB Aaron Jones, OT David Bakhtiari, QB Jordan Love, DL Billy Winn, LB Randy Ramsey, CB Kevin King and DB Raven Greene

Lineup notes: RB Aaron Jones (calf) is out once again. PK Mason Crosby (calf, back) was limited Friday and is questionable. TE Robert Tonyan (ankle, knee) practiced fully Thursday and Friday and is good to go.

Kickoff Weather: 45 degree, clear

Inactives: OT Cameron Clark, PK Sam Ficken, LB Blake Cashman, QB James Morgan, WR Jamison Crowder, C Jimmy Murray and WR Breshad Perriman

Lineup notes: WR Breshad Perriman (concussion) was ruled out. WR Jamison Crowder (groin) and PK Sam Ficken (groin) join him as inactives. RB Frank Gore (hand) draws a questionable tag as he has been limited in practice. He will give it a go.

Inactives: OT Mitchell Schwartz, LB Darius Harris, RB DeAndre Washington, DL Khalen Saunders, DE Demone Harris, TE Ricky Seals-Jones and WR Sammy Watkins

Lineup notes: WR Sammy Watkins (hamstring) is out once again.

Kickoff Weather: 86 degrees, humid

Inactives: DL AShawn Robinson, C Brian Allen, TE Brycen Hopkins, WR Trishton Jackson and RB Raymond Calais

Lineup notes: TE Tyler Higbee (hand) will play through his questionable tag. TE Gerald Everett (illness) was out of practice Wednesday but made it back Thursday. Hes ready to go.

Inactives: CB Jamal Perry, RB Lynn Bowden, DE Jason Strowbridge, RB Salvon Ahmed, RB Jordan Howard and FB Chandler Cox

Lineup notes: WR DeVante Parker (groin) was limited early in the week but practiced fully Friday. Hes good to go.

Kickoff Weather: 62 degrees, clear

Inactives: CB Desmond King, OT Storm Norton, OG Trai Turner, QB Tyrod Taylor, WR Tyron Johnson and DL Cortez Broughton

Lineup notes: RB Justin Jackson (knee) was a full participant all week. Hes expected to be fine.

Inactives: TE Jake Butt, QB Jeff Driskel, DT McTelvin Agim, WR Tim Patrick, WR Diontae Spencer and OG Netane Muti

Lineup notes: RB Phillip Lindsay (concussion) will play, but WR Tim Patrick (hamstring) is not ready to go. TE Noah Fant (ankle) and WR Jerry Jeudy (shoulder) practiced Friday and are off the report.

Kickoff Weather: 37 degrees, mostly cloudy

Inactives: DE Malcolm Roach, OT Derrick Kelly, WR Marquez Callaway, WR Michael Thomas, OG Nick Easton and CB Ken Crawley

Lineup notes: WR Michael Thomas (ankle, hamstring) and his season to forget continues as he is out again in Week 8. WR Emmanuel Sanders remains on the COVID-19 list and is out again. WR Marquez Callaway (ankle) is out as well.

Inactives: OG Cody Whitehair, RB Artavis Pierce, WR Ted Ginn Jr., LB Trevis Gipson, CB Duke Shelley and WR Riley Ridley

Lineup notes: WR Allen Robinson (concussion) didnt practice all week but cleared the concussion protocol and will play.

Kickoff Weather: 56 degrees, clear

Inactives: WR Deebo Samuel, LB Kwon Alexander, QB C.J. Beathard, SS Jaquiski Tartt, CB Ken Webster and WR Richie James

Lineup notes: RB Raheem Mostert (ankle) was placed on the Reserve/Injured list and will be out at least two more weeks. WR Deebo Samuel (hamstring) and RB Jeffery Wilson (ankle) will also miss this contest.

Inactives: S Jamal Adams, DL Benson Mayowa, CB Shaquill Griffin, OG Mike Iupati, RB Carlos Hyde, CB Ugo Amadi and RB Chris Carson

Lineup notes: RB Carlos Hyde (hamstring) drew a doubtful tag this week and is inactive. RB Chris Carson (foot) didnt practice all week, and hell miss the game, as well. Star S Jamal Adams (groin) is out, too.

Kickoff Weather: 53 degrees, possible light rain

Inactives: LB Luke Gifford, QB Andy Dalton, WR Malik Turner and CB Reggie Robinson II

Lineup notes: QB Andy Dalton (concussion) was out of practice all week and has been downgraded to out. Rookie QB Ben DiNucci will start in his place. OG Zack Martin (concussion) returns to action after missing one game.

Inactives: OT Jack Driscoll, WR Alshon Jeffery, OT Lane Johnson, RB Miles Sanders, QB Nate Sudfeld, CB Craig James and CB CreVon LeBlanc

Lineup notes: WR DeSean Jackson (ankle) went on IR and will miss at least two more games. RB Miles Sanders (knee) and WR Alshon Jeffery (calf) are sidelined once again. WR Jalen Reagor (thumb), TE Dallas Goedert (ankle) and LT Jason Peters (toe) all were activated Saturday from the Reserve/Injured list and will be available.

Kickoff Weather: 40 degrees, clear

Lineup notes: WR Chris Godwin (finger) had surgery on his index finger, which will keep him out Monday night. WR Scott Miller(hip, groin) and TE Rob Gronkowski (shoulder) were limited Friday. They returned to full sessions on Saturday and will play.

Lineup notes: RB Devonta Freeman (ankle) hasnt practiced this week and will miss the contest. WR Sterling Shepard (shoulder, toe) was limited all week but escaped an injury designation.

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Gameday inactives, injuries and weather: Week 8 - The Huddle

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The NFL's midseason trade deadline used to mean little with a limited number of minor deals being made. But in recent seasons, with blockbusters involving Jalen Ramsey and Amari Cooper and some other notable starters moved, it's become a truly open market, a little like March.

In 2020 beforeTuesday, Nov. 3 at 4 p.m. ET, several more players will be dealt. So far, on the marquee, the Ravens acquired Yannick Ngakoue from the Vikings, fresh off him being traded by the Jaguars in the preseason. The Seahawks got some needed pass-rush help, too, trading for the Bengals' Carlos Dunlap. Also from the defensiveedge, Everson Griffen (Cowboys to Lions), Jordan Wills (Jets to 49ers) and Markus Golden (Giants and Cardinals) all have new teams.

With a combination of buyers and sellers and teams looking to get something in return for pending 2021 free agents, the hot stove is staying warm with rumors. Here are 15players who might be dressed up in different uniforms soon.

NFL MOCK DRAFT 2021: Giants pass on Justin Fields; Saints find next QB; Packers, Lions, Bears go WR

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Njoku, 24, has expressed his desire to leave Cleveland, caught in a numbers game with free-agent addition Austin Hooper and promising rookie Harrison Bryant. The 2017 first-rounder, only signed through 2021 after the Browns picked up his cheap option,is looking for a more prominent receiving role. As an athletic target, Njokuwould fit a team like NFC wild-card hopefuls Carolina and Arizona. Philadelphia also makes sense, too, with Zach Ertz on the shelf and wanting to keep 12 personnel strong with Dallas Goedert.

Ross, 24, also a 2017 first-rounder has flamed out because of injuries and not being a reliable fit for their offense, showing not much more than fleet feet when healthy. He's superfluous in Cincinnati behind Tyler Boyd. A.J. Green, Tee Higgins and Auden Tate.The Packers and Patriots would make sense as teams looking for more receiving speed with which to try to stretch the field better.

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The Ryans have been valuable starters for Washington in the past in 3-4 schemes. But both current rotational ends will be unrestricted free agents in 2021, Kerrigan at 32 two years removed from his last Pro Bowl season and Anderson at 26, a second-round pick in 2017. Ron Rivera can push forward with a youth movement centered around Chase Young and Montez Sweat in the 4-3 by moving either/both.

Williamson, 28, got a nice free-agent deal from New York to leave Tennessee. He is unsigned for 2021 and the Jets' veteran fire sale with Adam Gase has him firmly on the block. He would help a 3-4 team and the Steelers have emerged as a strong candidate after losing Devin Bush to a torn ACL.

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There has been some buzz that Houston would move Will Fuller, the 2016 first-rounder who can test free agency next year. But after trading away DeAndre Hopkins with Bill O'Brien, let's hope the Texans resist for the sake of instilling some confidence in Deshaun Watson that they care about helping their franchise QB. Stills, 28,has flashed in their receiving corps, but he is the more easily expendable one because of Fuller, Brandin Cooks and Randall Cobb. Stills also is a 2021 free agent andcan be had cheaper. The Packers, who just played Houston, have some intrigue.

The Bills have been disappointed with their defense and Sean McDermott benched a healthy Murphy in Week 6. The 2014 second-rounder will turn 30 in December and is showing diminishing returns as a pending free agent. Buffalowould be fine moving forward with Mario Addison and rookie first-rounder A.J. Epenesa opposite Jerry Hughes. Murphycould help the Cardinals in a hybrid 3-4 roleas that team is dealing with an injury to end Zach Allen and has limited pop at outside linebacker without Chandler Jones.

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Engram has had massive upside since being picked as a 2017 first-rounder, but injuries and inconsistent hands have taken away his potentialas an athletic receiver.The Giants had some high hopes for him to put it all together, but now can't shake how he missed a pass that would given them a win over the Eagles in Week 6.Carolina and New England have been attached to him with some front-office connections there. Tate is already on his fourth team as a solid slot option with some home-run ability. Contenders such as Green Bay and New Orleans could use his services inside.

The Lions are entrusting their backfield more to rookie D'Andre Swift and up to that recent point, Adrian Peterson did well as their veteran bridge back. Johnson, a once promising 2018 second-rounder, is down to getting no touches. At 23, he's an appealing cheap backfield stash for teams looking for depth.

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As much as the Jets moving 2018 first-rounder Sam Darnold makes sense if they are headed to taking Trevor Lawrence No. 1 overall in 2020, there is likely too high of an implied price for teams such as Steelers, Broncos, Colts and Bears, especially if they're not looking to start him right away. As for Haskins, It's clear Washington's new regime with Rivera and Scott Turner don't really want to attach itself to the 2019 first-rounder. At lesser compensation, a team getting Haskins as a young development type has more appeal. Those four teams should at least make a call on him.

McKinley, 24, a 2017 first-rounder, is a pretty good bet to followVic Beasley, a 2015 first-rounder, out of Atlanta very soon. The former coach and GM combinationof Dan Quinn and Thomas Dimitroff didn't see him pan out as a pass rusher and the scheme is headed to a change in 2021, when McKinley won't be re-signed as a free agent. He needs a fresh start, and a team such as the Seahawks, 49ers and Chargers, who all run similar schemes. can take a flyer. McKinleyis being made inactive for Week 8 Thursday night at the Panthers for the purpose of being dealt.

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Jones has seen a suddenly smaller role in the Lions' passing game as their No. 2 wideout outside opposite Kenny Golladay. He turned 30 earlier this year and won't be re-signed as a free agent next year. It took him until Week 7's win over the Falcons to do something of note. All the above wideout-needy mentioned teams should have some interest, but it's unlikely Detroit makes a move to help Green Bay inside the division.

Mack has been the perennial Pro Bowl rock of their athletic offensive line, snapping for Matt Ryan and run blocking well ever since he signed his blockbuster free-agent deal coming over fromthe Browns. But he's 34 and a free agent again next year. The 49ers, who made a quick move to get left tackle Trent Williams when Joe Staley retired, should be thinking the same on Mack with center Weston Richburg slow in his recovery from a torn patellar tendon. That move makes a lot of sense as it would reunite Mack with his former offensive coordinator, Kyle Shanahan.

Simmons and the Vikings' Anthony Harris are in near identical situations. Both safeties are playing under the franchise at $11.44 million tagsin 2020 and may be too expensive for their teams to keep long term in 2021. The Broncos (2-4) and Vikings (1-5) are going nowhere in 2020and headed to rebuild mode. Simmons has a slightly better chance of being traded. The Eagles or Browns, well positioned to make playoff runs, need to get busy trying to tap into an key upgrade.The Ravens could use some post-Earl Thomas help, too.

Excerpt from:

NFL trade rumors: 15 players most likely to be traded at the 2020 deadline - Sporting News