#MD-100 Sample Questions

[laud03]

Activity 01

Following my review of the Gapminder study codebook, I have chosen to conduct an analysis of a global health concern: breast cancer.  In conjunction with this primary focus, I will also explore the issue of suicide rates per hundred thousand individuals.

Question: Is breast cancer associated with suicide per 100th?

Variables: breastcancerper100th and suicideper100th

Hypothesis: Women diagnosed with breast cancer may be more likely to commit suicide compared to the general population.

Literature review:  

Suicide After Breast Cancer: an International Population-Based Study of 723 810 Women

Catherine Schairer, Linda Morris Brown, Bingshu E. Chen, Regan Howard, Charles F. Lynch, Per Hall, Hans Storm, Eero Pukkala, Aage Anderson, Magnus Kaijser ... Show more

Summary: Few studies have examined long-term suicide risk among breast cancer survivors, and there are no data for women in the United States. We quantified suicide risk through 2002 among 723 810 1-year breast cancer survivors diagnosed between January 1, 1953, and December 31, 2001, and reported to 16 population-based cancer registries in the United States and Scandinavia. Among breast cancer survivors, we calculated standardized mortality ratios (SMRs) and excess absolute risks (EARs) compared with the general population, and the probability of suicide. We used Poisson regression likelihood ratio tests to assess heterogeneity in SMRs; all statistical tests were two-sided, with a .05 cutoff for statistical significance. In total 836 breast cancer patients committed suicide (SMR = 1.37, 95% confidence interval [CI] = 1.28 to 1.47; EAR = 4.1 per 100 000 person-years). Although SMRs ranged from 1.25 to 1.53 among registries, with 245 deaths among the sample of US women (SMR = 1.49, 95% CI = 1.32 to 1.70), differences among registries were not statistically significant ( P for heterogeneity = .19). Risk was elevated throughout follow-up, including for 25 or more years after diagnosis (SMR = 1.35, 95% CI = 0.82 to 2.12), and was highest among black women (SMR = 2.88, 95% CI = 1.44 to 5.17) ( P for heterogeneity = .06). Risk increased with increasing stage of breast cancer ( P for heterogeneity = .08) and remained elevated among women diagnosed between 1990 and 2001 (SMR = 1.36, 95% CI = 1.18 to 1.57). The cumulative probability of suicide was 0.20% 30 years after breast cancer diagnosis.

Topic: cancerheterogeneityearfollow-upscandinaviasurvivorsdiagnosissuicidebreast cancerlikelihood ratiosuicidal behaviortnm breast tumor stagingstandardized mortality ratio

Issue Section: Brief Communications

References:  

(1) Rowland J, Mariotto A, Aziz N, Tesauro G, Feuer EJ, Blackman D, et al. Cancer survivorship — United States, 1971 – 2001. MMWR Morb Mortal Wkly Rep 2004 ; 53 : 526 – 9.

(2) Ries LAG, Eisner MP, Kosary CL, Hankey BF, Miller BA, Clegg L, et al., editors. SEER cancer statistics review, 1975 – 2002. Bethesda (MD): National Cancer Institute; 2004. Available at: http://seer.cancer.gov/csr/1975_2002 . [Last accessed: September 22, 2005.]

(3) Yousaf U, Christensen M-LM, Engholm G, Storm HH. Suicides among Danish cancer patients 1971 – 1999. Br J Cancer 2005 ; 92 : 995 – 1000.

[dmsdiagnostics]

Diagnostic Lab in Baner | Diagnostic Center Near Me - DMS

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[tastydregs]

Researchers Accurately Simulate 100 Million Atoms With Machine Learning

Harvard researchers bring the accuracy, sample efficiency, and robustness of deep equivariant neural networks to the simulate 44 million atoms. This is achieved through a combination of innovative model architecture, massive parallelization, and models and implementations optimized for efficient GPU utilization. The resulting Allegro architecture bridges the accuracy speed tradeoff of atomistic simulations and enables description of dynamics in structures of unprecedented complexity at quantum fidelity. To illustrate the scalability of Allegro, they perform nanoseconds-long stable simulations of protein dynamics and scale up to a 44-million atom structure of a complete, all-atom, explicitly solvated HIV capsid on the Perlmutter supercomputer. They demonstrate excellent strong scaling up to 100 million atoms and 70% weak scaling to 5120 A100 GPUs.

This is the first scalable, transferable machine-learning potential with state-of-the-art equivariant deep-learning accuracy. Performance of 100 timesteps/s for range of biomolecular systems. 70% weak scaling to 1280 nodes and 5120 A100 GPUs, excellent strong scaling up to 100 million atoms. First application of state-of-the-art machine learning interatomic potentials to large-scale biomolecular simulations.

Problem Overview: First-Principles Dynamics of Matter The ability to predict the time evolution of matter on the atomic scale is the foundation of modern computational biology, chemistry, and materials engineering. Even as quantum mechanics governs the microscopic atom-electron interactions in vibrations, migration and bond dissociation, phenomena governing observable physical and chemical processes often occur at much larger length- and longer time-scales than those of atomic motion. Bridging these scales requires both innovation in fast and highly accurate computational approaches capturing the quantum interactions and in extremely parallelizable architectures able to access exascale computers.

Presently, realistic physical and chemical systems are far more structurally complex than what computational methods are capable of investigating, and their observable evolution is beyond the timescales of atomistic simulations. This gap between key fundamental questions and phenomena that can be effectively modeled has persisted for decades. From one side of the gap, models of small size, representing ostensibly important parts of the systems, can be constructed and investigated with highfidelity computationally expensive models, such as electronic structure methods of density functional theory (DFT) and wave-function quantum chemistry. In the domain of materials science, these models can capture individual interfaces in metallic composites, defects in semiconductors, and flat surfaces of catalysts. However, evolution of such structures over relevant time scales is out of reach with electronic structure methods. Importantly, such reduction of complexity is not possible in the domain of biological sciences, where entire structures of viruses consist of millions of atoms, in addition to similarly large number of explicit water molecules needed to capture the physiological environment. From the other side of the gap, uncontrolled approximations have to be made to reach large sizes and sufficient computational speeds. These approximations have relied on very simple analytical models for interatomic interactions and have many documented failures of describing dynamics of both complex inorganic and biological materials.

Molecular dynamics (MD) simulations are a pillar of computational science, enabling insights into the dynamics of molecules and materials at the atomic scale. MD provides a level of resolution, understanding, and control that experiments often cannot provide, thereby serving as an extremely powerful tool to advance our unstanding and design of novel molecules and materials. Molecular dynamics simulates the time evolution of atoms according to Newton’s equations of motion. By integrating the forces at each time step, a sequence of many-atom configurations is obtained, from which physical observables can then be obtained.

The bottleneck of MD is the short integration time step required, which usually lies on the order of femtoseconds. Since many chemical and biological processes occur on the timescale of microseconds or even milliseconds, billions to trillions of integration steps are needed. This highlights the requirement common to all MD simulation for access to atomic forces in a way that is simultaneously both a) accurate and b) computationally efficient.

For decades, two different avenues have been pursued: on one hand, classical force-fields (FFs) are able to simulate large-scale systems with high computational efficiency, enabling simulations of billions of atoms and reaching even microsecond simulation timescales on special-purpose hardware The simple functional form of classical FFs, however, greatly limits their predictive power and results in them not being able to capture quantum mechanical effects or complex chemical transformations. On the other hand, quantum-mechanical simulations provide a highly accurate description of the electronic structure of molecules and materials. Interatomic forces computed with these first-principles methods can then be used to integrate the atoms in molecular dynamics, called ab-initio molecular dynamics (AIMD), with DFT being the most common method of choice. The cubic scaling of plane-wave DFT with the number of electrons, however, is the key bottleneck limiting AIMD simulations as it severely limits both length- and timescales of AIMD simulations, only allowing thousands of atoms and hundreds of picoseconds in routine simulations.

Current State of the Art: Accuracy

Over the past two decades, machine learning interatomic potentials (MLIPs) have been pursued with immense interest as a third approach, promising to bypass this long-standing dilemma. The aim of MLIPs is to learn energies and forces from high-accuracy reference data while scaling linearly with the number of atoms. Initial efforts combined hand-crafted descriptors with a Gaussian Process or a shallow neural network. These first MLIPs were quickly further improved and have been adapted to biomolecular simulations, trained on large data sets to provide general-purpose potentials. Despite this initial progress, however, this first generation of MLIPs has been severely limited in predictive accuracy, often unable to generalize to structures different from those in the training data, resulting in simulations that are not transferable and often not robust. In an effort to overcome these limitations in accuracy, more recently, deep learning interatomic potentials based on the message passing neural network (MPNN) paradigm have been proposed and shown to be a more accurate alternative to the first generation of MLIPs, however at a significant computational overhead.

Common to all interatomic potentials is a focus on symmetry: in particular, the energy must obey invariance with respect to translations, rotations, and reflections, which together comprise E(3), the Euclidean group in 3D. Both classical forcefields and modern MLIPs achieve this by only ever acting on geometric invariants of the underlying structures. More recently, in an attempt to better represent the symmetry of the data, invariant interatomic potentials have been generalized to equivariant ones. In equivariant MLIPs, the hidden network features consist of not only scalar features, but also vectors and higher-order tensors, resulting in a more faithful representation of the atomistic geometry.

The initial NequIP work on equivariant interatomic potentials demonstrated not only a step change in state-of-theart accuracy, but also the ability to outperform the invariant DeepMD accuracy while training on a thousand times smaller data set. Following these efforts, equivariant MLIPs have been shown to greatly improve stability of simulations and display much better extrapolative power than existing approaches. Equivariant potentials however, struggle with scale and speed since all existing methods combine the equivariance with the MPNN architecture of previous generation methods. This is due to the graph propagation mechanism in MPNNs: at each layer of message passing, information is passed from a central node to its neighbors. The best system has achieved a 20,894 atom simulation.

In order to scale a message passing network, one would have to either maintain enormous neighbor lists, or transfer messages and gradients between devices at each layer. Both of these approaches are destined to be slow, with the latter also requiring extensive software development to allow the neural network’s message passing to work together with the MD software’s spatial decomposition message passing. Thus the exceptional accuracy of equivariant methods remains inaccessible for applications that require large length scales and long timescale simulations, with biological systems being a major example that is virtually entirely excluded from these state-of-the-art approaches.

Current State of the Art: Scalability and speed

In parallel to the improvements in accuracy, great strides have been achieved in terms of the computational cost of MLIPs, with several methods sacrificing some accuracy in order to be able to perform extreme-scale simulations. Most notably, the DeePMD method won the 2020 Gordon Bell supercomputing award for their 100 million-atom simulations, using the entire Summit machine.

SNAP extended the scale to 20 billion atoms, accompanied by a 20-fold increase in speed. Finally, FLARE set the current record for GPU-accelerated MLIP uncertainty-aware reactive MD benchmarks with 0.5 trillion atoms on Summit and a 70% speed increase over SNAP.

Allegro: Scalable Equivariant Deep Learning

Allegro is the first scalable equivariant MLIP to overcome the previous dilemma of choosing between highly accurate, robust, transferable equivariant models and scalable, but less accurate, first-generation models. Allegro attains this by first decomposing the total predicted energy of the system into atomic energies.

The first key innovation of Allegro is its tensor product layer, which updates the features with information about neighboring atoms’ geometry using the “tensor product of representations,” a fundamental equivariant operation. Specifically, the perordered-pair tensor features are updated by taking their tensor product with a learned weighted sum over the spherical harmonic embeddings of the positions of the neighbors of the central atom.

This innovation allows Allegro to learn increasingly complex representations of the atomic structure layer after layer while keeping all interactions strictly local, thus making it massively parallelizable.

The second central innovation of Allegro is motivated by the difference in cost between scalar operations and the much more expensive 𝑂(3)-equivariant operations that are symmetrically permitted on tensors. Allegro is therefore designed to put significant network capacity into the scalar operations, particularly dense neural networks, which are comparatively cheap and highly optimized on modern GPU hardware, while keeping as few expensive equivariant operations as possible (only the tensor product) and limiting the number of tensor feature channels.

This is achieved by having separate scalar and tensor tracks throughout the network, which at each layer communicate information which allows the high capacity of the scalar track to “control” the equivariant features. Across deep learning, it has repeatedly been observed that larger networks perform better. In high-performance applications of deep learning such as interatomic potentials, however, this increase in computation is unsustainable as it would hurt computational efficiency. The ability of Allegro to partially decouple these two effects allows it to greatly increase network capacity while keeping the computational overhead moderate.

Allegro outperforms state-of-the-art potentials on energies and forces of small molecules as measured by the QM9 and revMD17 benchmarks, including state-of-the-art equivariant message-passing-based approaches. Remarkably, Allegro also performs significantly better than the DeepMD potential on water despite being trained on more than 1,000 times fewer reference data. This demonstrates that Allegro is able to retain the remarkable improvements demonstrated by equivariant message-passing potentials, while being massively parallelizable, greatly increasing accessible length-scales as well as time-to-solution.

The work demonstrates the advantages of high-capacity equivariant Allegro models in accurately learning forces across the entire SPICE dataset of over 1 million structures of drug-like molecules and peptides. This data scale implies the promise of learning the entire sets of inorganic materials and organic molecules far more accurately than previously attempted, which would open the prospects of fast exascale simulations of unprecedentedly wide ranges of materials systems.

Recently they demonstrated that it is possible to efficiently quantify uncertainty of deep equivariant model predictions of forces and energies and use it to perform active learning for automatic construction of training sets. Natural adaptation of Gaussian mixture models in Allegro will open the possibility of large-scale uncertainty-aware simulations using a single model, as opposed to ensembles.

Finally, the major implication of the demonstrated accuracy of equivariant models is the urgent need to improve the accuracy and efficiency of the quantum electron structure calculations that are used as reference to train MLIPs, as this now becomes the major accuracy bottleneck in computational chemistry, biology and materials science.

Brian Wang is a Futurist Thought Leader and a popular Science blogger with 1 million readers per month. His blog Nextbigfuture.com is ranked #1 Science News Blog. It covers many disruptive technology and trends including Space, Robotics, Artificial Intelligence, Medicine, Anti-aging Biotechnology, and Nanotechnology.

Known for identifying cutting edge technologies, he is currently a Co-Founder of a startup and fundraiser for high potential early-stage companies. He is the Head of Research for Allocations for deep technology investments and an Angel Investor at Space Angels.

A frequent speaker at corporations, he has been a TEDx speaker, a Singularity University speaker and guest at numerous interviews for radio and podcasts.  He is open to public speaking and advising engagements.

[elizabethchapmanlove]

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[covidclinic]

7 Things To Know About the Delta Variant

7 Things To Know About the Delta Variant The Centers for Disease Control and Prevention (CDC) released new guidelines on the urgent need to enhance COVID-19 immunization coverage on July 27, 2021, along with a recommendation that everyone in areas with significant or high transmission wear a mask in public indoor places, even if they are fully vaccinated. The CDC published this updated recommendation in response to a number of alarming trends and fresh data signals.

Infections & Spread:

-The Delta version is more contagious; The Delta variant is far more contagious than earlier variants, being more than twice as contagious.

-According to some evidence, the Delta variation may cause more severe sickness in unprotected people than in prior forms; Individuals infected with the Delta variant were more likely to be hospitalized in two separate trials from Canada and Scotland than patients infected with Alpha or the original virus that causes COVID-19.

-Unvaccinated people continue to pose the biggest threat of transmission: Unvaccinated people are far more likely to become infected and thus spread the virus. COVID-19 (also known as breakthrough infections) is less common in fully vaccinated people than in unprotected ones.

People who have been fully vaccinated but nevertheless have a Delta variant breakthrough illness can pass the virus on to others. People who have been vaccinated, on the other hand, tend to spread the virus for a shorter amount of time: COVID-19 samples from fully vaccinated persons who suffered breakthrough infections contained less viral genetic material than COVID-19 samples from unvaccinated people.

7 Facts About The Delta Variant:

The Delta version has five characteristics that you should be aware of: -The Delta virus strain is more contagious than the others; According to F. Perry Wilson, MD, a Yale Medicine epidemiologist, one of the things that distinguish Delta is how quickly it spreads. “Delta will undoubtedly exacerbate* the pandemic” over the planet, he claims. (*worsen)

The first Delta case was discovered in December 2020, and the virus’s variation quickly became the prevalent strain in both India and the United Kingdom. According to CDC estimates, Delta was responsible for more than 80% of new COVID-19 cases in the United States by the end of July.

-People who have not been immunized are at risk; The people who have not been properly vaccinated against COVID-19 are the ones who are the most vulnerable.

In the United States, states with poor vaccination rates, such as Alabama, Arkansas, Georgia, Mississippi, Missouri, and West Virginia, have a disproportionate number of unvaccinated persons. (In some of these states, the number of instances is increasing, while in others, limits are being lifted since the number of cases is decreasing.)

-’ Hyperlocal epidemics’ could occur as a result of the Delta. Dr. Wilson thinks the major questions will be about heightened transmissions — how many people will catch the Delta variant and how quickly will it spread — if Delta continues to move fast enough to quicken the pandemic.

According to him, the answers could be influenced by where you reside and how many individuals in your area have been vaccinated. “I call it ‘patchwork vaccination,’ where you have pockets of people who are well vaccinated next to those who are only 20 percent vaccinated,” Dr. Wilson explains. “The difficulty is that the virus can hop, skip, and leap from one inadequately vaccinated area to another as a result of this.”

-The symptoms of the COVID-19 Delta variant appear to be the same as the original form. Physicians, on the other hand, are witnessing people becoming ill more quickly, particularly among the young. According to this research, the Delta variant grows significantly faster — and too much higher levels — in the respiratory system.

When those who have been vaccinated contract the Delta form, they are frequently asymptomatic or experience just minor symptoms. Their symptoms are similar to those of a regular cold, such as cough, fever, and headache, but they often include a substantial loss of smell.

-Even if you’re fully vaccinated, some experts advise wearing masks. Despite being completely vaccinated against COVID-19, several health specialists around the country are donning masks. They’re also encouraging vaccinated persons to stay away from large gatherings and wear masks indoors when other people’s vaccination status is uncertain.

-The easiest way to avoid being infected with Delta is to get vaccinated. The most crucial thing you can do to protect yourself from Delta is to get fully vaccinated, according to the doctors. That means that if you obtain a two-dose vaccine, such as Pfizer or Moderna, you must have both doses and then wait the recommended two weeks for the shots to take full effect. It’s also vital to follow CDC preventative guidelines, which are available for both vaccinated and unvaccinated people, whether or not you’ve been vaccinated.

-There are likely to be more COVID-19 versions in the future; COVID-19’s Delta version is currently the most well-known strain, but the Lambda variety from South America is also making waves. According to health experts, if individuals wish to return to normal, a large section of the population must be vaccinated. New strains of the virus will continue to evolve and cause difficulties as long as a significant portion of the global population remains uninfected.

People who have been fully vaccinated against the coronavirus continue to have good protection against COVID-19, according to what we know so far. Doctors warn that anyone who is not vaccinated and does not use preventive measures is at significant risk of contracting the new type.

Vaccines:

The COVID-19 vaccines approved or authorized in the United States, including the Delta form, are highly successful at preventing serious sickness and death. However, they are not 100 percent effective, and some people who have been fully vaccinated will become infected (known as a breakthrough infection) and become unwell.

The vaccine offers the best protection against serious illness and death for everyone.

This concludes that…

Vaccines are critical in restricting the virus’s transmission and reducing the severity of the sickness. Vaccines are highly effective, but they are not without flaws, and there will be vaccine-related diseases. Vaccination has reached millions of people in the United States, and the number is growing.

Irrespective of how things work out, the best deal for everyone out there is to get vaccinated the first chance they get and use their masks whenever in public places. Stay safe everyone! You can also go to our website and search for the test that best fits your needs. Until then, stay safe!

[qquveg2szck-blog]

Iodine supplementation improved my fitness and quality of life

Disclaimer: The content presented here is offered for informational purposes only, and should not be construed as medical advice. You should consult with your physician/care giver regarding your own medical care. I have no financial interest in any of the products or websites that I mention.

For most of my adult life I took a quality supplement which included the RDA of 150 mcg/day iodine. I lived a healthy lifestyle and never took any medications.

Then at age 50 when I began supplementation with a much higher amount of iodine at 12 mg/day, I immediately noticed a significant change. To my great surprise, it has felt like returning to my peak teenage years, with even better sleep quality and much higher testosterone. I have more energy throughout the day and my recovery from exercise is faster. This higher amount of daily iodine has improved my fitness and quality of life. Truly a joyful discovery!

Before starting, I read a variety of published information and studies about potential health benefits and safety of dosage. I highly recommend Dr. David Brownstein's book "Iodine: Why You Need It, Why You Can't Live Without It".

https://www.drbrownstein.com/iodine-why-you-need-it-p/iodine.htm

"Iodine is the most misunderstood nutrient. After 17 years of practicing medicine, I can say that it is impossible to achieve your optimal health if you do not have adequate iodine levels. I have yet to see any item that is more important to promoting health or optimizing the function of the immune system than iodine. Learn what forms of iodine you need and why there is not enough iodine in salt. See how iodine can help: breast cancer, fibrocystic breast disease, detoxification, fatigue, Graves' disease, and Hashimoto's disease. Find out why iodine deficiency may be the root cause of thyroid problems including hypothyroidism and thyroid cancer. Discover how to get iodine in your diet and improve your immune system." ___

Another book that I found very helpful is "The Iodine Crisis" by Lynne Farrow.

http://lynnefarrow.net/book.html

"Thanks to environmental pollutants Iodine deficiency has become a worldwide epidemic. Everybody knows pollutants cause cancer. What they don't know is that these pollutants cause a deficiency that can make us sick, fat and stupid. Iodized salt--supposedly a solution to iodine deficiency-- is actually a nutritional scam which provides a false sense of security. The Iodine Crisis explains how we became so deficient, then shows the time-tested solution to reversing many conditions. Lynne Farrow reveals how she and thousands of other patient-activists changed their lives by researching and using iodine. Frequently Asked Questions cover everything you need to know about iodine. The proof of iodine's benefit is demonstrated by the dramatic case studies shared in this book." ___

I also found the iodine research studies at Optimox to be highly interesting, especially publications #01, #02, and #04. In their research Dr. Guy Abraham and associates found through laboratory testing that 12 mg/day iodine is enough for most healthy adults to achieve optimal iodine levels throughout the body, with many health benefits.

https://www.optimox.com/iodine-study-4 Excerpt from Guy E. Abraham, MD. The Wolff-Chaikoff Effect: Crying Wolf? The Original Internist, 12(3):112-118, Fall 2005.

"To wrap it up, proper amounts of iodine in the food supply should be considered one of a nation's greatest assets. Removing iodine from the food supply is a form major mistake. Supplying daily intake of iodine for whole body sufficiency (100-400 times the RDA) gives protection against goitrogens and radioactive iodine/iodide fallout; improves immune functions, resulting in an adequate defense system against infection; decreases singlet oxygen formation which is the major cause of oxidative damage to DNA and macromolecules, resulting in an anticarcinogenic effect in every organ in the human body; results in a detoxifying effect by increasing urinary excretion of the toxic metals lead, mercury, cadmium, and aluminum, as well as the goitrogens fluoride and bromide; normalizes hormone receptor functions resulting in improved response to thyroid hormones both endogenous and exogenous; and results in better control of blood sugar in diabetic patients; stabilizes cardiac rhythm, obviating the need for the toxic sustained release form of iodine, amiodarone; and normalizes blood pressure without medication in hypertensive patients. Iodine deficiency is the major cause of cognitive impairment, worldwide. Therefore, iodine sufficiency would result in optimal cognitive function, something of great importance to every nation." ___

Historically the Japanese were estimated to consume a similar high amount of iodine at 5.3-13.8 mg/day, mostly from seaweed. Unfortunately as Lynne Farrow notes in her book, in present day seaweed may be polluted with heavy metals, oil spill dispersants, radiation, or other industrial contaminants from our now-polluted seawater. Dr. David Brownstein had a few different brands of seaweed scientifically analyzed by a laboratory and found that about 50% of the samples had very high levels of mercury and bromide, which he indicates can interfere with the body’s ability to use iodine. Also the longer the seaweed has been stored after processing, the more iodine is lost through sublimation into a gaseous state.

For an inexpensive source of iodine, I purchased USP pharma-grade potassium iodide crystals (in fine powder form) from CarolinaChemical. The product was manufactured by SQM, an established chemical company in Chile which is the largest global producer of iodine.

To make an iodine solution, I add 1/8th US teaspoon of potassium iodide crystals (just scooped and leveled off, not packed down, 940-1030 mg on my Weighmax CT20 milligram scale) into 16 US fluid ounces purified water at room temperature in a labeled jar with lid. I stir until the crystals are dissolved and store the solution in a dark location at room temperature.

1000 mg potassium iodide crystals * 0.7645 (76.45% iodine by weight) = 764.5 mg iodine, divided by 64 (number of 1/2 US tablespoons in 16 US fluid ounces water) = 12 mg iodine

A 1/2 US tablespoon of the solution contains 12 mg iodine. I gradually worked up to that daily intake. I read that if suddenly taking high amounts of iodine, some people experience temporary side effects as iodine helps the body excrete toxic bromide, fluoride, perchlorate, etc.

Included in my daily supplementation are the following which Dr. David Brownstein indicated may help the body more efficiently utilize higher amounts of iodine: vitamin B complex, magnesium 600 mg, zinc 30 mg, selenium 200 mcg. Selenium is especially important for thyroid health. I had already been using these supplements at these dosages for many years, so they were not responsible for the noticeable increase in testosterone. Perhaps the iodine flushed out toxic halogens, as suggested by the following.

https://itestosterone.com/iodine-testosterone/ Excerpt from Robert Clark. Iodine Increases Testosterone and Leydig Cell Functionality. 2017.

"One of the receptors that stores halogens in your body is the 'leydig cells' in your testicles.

Leydig cells are responsible for producing testosterone and because iodine and toxic halogens fight for these same receptors and our bodies are under constant attack from toxic halogens, your leydig cells may be compromised and corrupted.

Because iodine can bind to and force excretion of these toxic halogens and in some cases, is the only way to flush them out, iodine may directly improve your leydig cell functionality, therefore increasing your testosterone production."

[iamthestrangerinmoscow]

Hi there, lovely person reading this, I have some questions for you:

Have you been looking for a very specific fanfic for a long time and haven't had any luck in finding what you want? Do you have a short story idea that you don't want to/can't work on and would rather just read a finished product based on it? Do you want a self-insert fanfic (self-insert is awesome!) with you in it that you don't have to write yourself? Are you looking for fiction that simply doesn't exist anywhere on the Internet? 

And to add to all that - do you have like five bucks to spend?

I'm a undergraduate student, currently on vacations for two months, and like many undergrads, I'm searching for a summer job. Problem is, I'm disabled (autistic and mentally ill, specifically) - which means a lot of usual summer jobs aren't for me. There is something I'm pretty damn good at though - writing. I've been doing it since I was eleven, so I have plenty of experience, and I also love it to bits. And that's why I'm offering commissions.

I can write both fanfiction and original fiction. For fanfics, I'm familiar with:

Doctor Who and EU (New and Classic, Torchwood, Class, Sarah Jane's Adventures, Big Finish and NSA)

Marvel (MCU, Netflix, comic books)

Harry Potter

Star Wars

Sherlock BBC

Buffy the Vampire Slayer

House MD

Grey's Anatomy

Community

Rick and Morty

Firefly

Sense8

Avatar: Legend of Aang and Korra

Orphan Black

Stranger Things

Broadchurch and basically everything David Tennant was in, ever

other more obscure things - ask me about it!

For original fiction, my specialty is (scientifically accurate/feasible) sci-fi, but I'm familiar with most genres, and I'm ready for challenges.

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Can 23andMe Detect the BRCA Gene? What To Know Before Testing

New Post has been published on https://medianwire.com/can-23andme-detect-the-brca-gene-what-to-know-before-testing/

Can 23andMe Detect the BRCA Gene? What To Know Before Testing

Not only do home genetic test kits, like 23andMe, provide information about your ancestry, but they can also give you some insights into your inherited health risks, particularly mutations on the BRCA genes that can increase your chances of getting breast cancer down the line.

While most cases of breast and ovarian cancer aren’t hereditary, having certain BRCA mutations can significantly increase your risk for these cancers, the Centers for Disease Control and Prevention explain. In the general population, about seven in 100 women will develop breast cancer by the time they turn 70 compared to 50 out of 100 women who have BRCA1 or BRCA2 mutations, the CDC says.

One in every 500 women has a mutation on one of their BRCA genes. If either of a person’s parents have a BRCA mutation, then the person has a 50% chance of having the same one, per the CDC.

In 2018, 23andMe became the first company to get authorization from the Food and Drug Administration to provide BRCA genetic testing at home without a doctor’s referral ahead of time.

The test, which costs $199 and just requires a sample of your saliva, is an easy way to get a window into your potential health risks. But experts told TODAY that not everyone needs to follow their curiosity down this path — and it’s probably worth having a conversation with your doctor about your genetic health questions first.

If you’re thinking about using 23andMe to detect BRCA mutations, here’s what you should know.

What are BRCA gene mutations?

BRCA1 and BRCA2 are genes that typically help your body suppress cancerous tumors, the CDC explains. If you have certain changes — called variants or mutations — in your BRCA genes, that may affect your health risks. But not all genetic variants are inherently harmful.

“We all have little changes in our genes,” Dr. Alicia Latham, medical geneticist and family medicine physician at Memorial Sloan Kettering Cancer Center, told TODAY.

On one end of the spectrum, there are totally benign variants that are neither good nor bad and “may just create or contribute to our uniqueness,” Latham said. At the other end of the spectrum, there are true, pathogenic mutations that increase the risk for certain health conditions, like breast cancer.

In between, there are many variants of uncertain significance, which indicates that experts don’t know exactly what effect that mutation might have on your health risks, Dr. Banu Arun, professor of breast medical oncology and co-director of the Clinical Cancer Genetics Program at MD Anderson Cancer Center, told TODAY.

In fact, there are more than 1,000 possible mutations in just BRCA1 and BRCA2 that could affect cancer risk, Arun explained. Three of those mutations — known as founder mutations — significantly increase the risk for breast cancer, ovarian cancer and prostate cancer, according to the National Cancer Institute. And people with Ashkenazi Jewish heritage are particularly likely to carry these mutations, the CDC says.

These are the three mutations that 23andMe tests for, Ruth Tennen, Ph.D., senior product scientist at 23andMe, told TODAY. The company chose to focus on these because they are some of the most well-studied variants, she said.

But because there are many more possible BRCA variants out there that 23andMe does not detect, “we’re really just testing for a very small subset of those variants that are of particular importance for people of Ashkenazi Jewish descent,” Tennen explained.

Can 23andMe detect breast cancer?

Genetic tests like 23andMe can’t tell you whether or not you actively have cancer. Instead, 23andMe tests for specific BRCA1 and BRCA2 mutations that put you at a higher risk for developing certain types of cancer, including breast cancer.

Specifically, 23andMe looks for these three BRCA variants:

BRCA1 185delAG

BRCA1 5382insC

BRCA2 6174delT

Remember that there are other BRCA variants that 23andMe does not test for that might also impact your breast cancer risk. “And, importantly, there are other genes out there that can increase the risk of hereditary breast cancer,” Arun said, such as mutations in PALB2, ATM, CHEK2, CDH1 and p53 genes.

Who should consider BRCA genetic testing?

If you’re interested in learning more about your BRCA status or your genetic risks for any health conditions, start by talking to your doctor or a genetic counselor, the National Cancer Institute says, which should include a discussion of your family’s health history.

In doing so, you may learn that you actually meet the eligibility requirements for comprehensive genetic testing ordered via a counselor or your doctor. For instance, Ashkenazi Jewish women who have a first-degree relative who was diagnosed with breast or ovarian cancer are likely to be eligible, the CDC says.

Another reason to meet with a counselor first is that at-home genetic testing may tell you about many more genetic results than just those related to BRCA, Latham said. “You may think, ‘Well, I want to know my BRCA status and that’s what I’m doing this for,’ but you may find a surprise that makes absolutely no sense based off of your family history and has very serious implications for you.”

If you test a lot of people for a lot of different genetic variants that they don’t necessarily need to be tested for, “we are increasing the risk of receiving results that we do not know what to do with,” Arun explained. “That increases anxiety amongst the patient and the healthcare provider.”

With a genetic counselor, you will only be tested for the genetic risks that make sense for you to investigate, Arun said. And you’ll have someone to help you sort through the results.

Related: At-home genetic testing for cancer and other disease risk is booming: Should you try it?

What should you do with your results?

Whether your BRCA results are positive or negative, you should go over them with your doctor. If your results are negative, that doesn’t mean you don’t have any of the many other BRCA mutations that can affect your cancer risk. And if your results are positive, you will likely need confirmatory testing to be sure.

Latham recommended consulting the National Society of Genetic Counselors database to find someone who specializes in the issues you’re particularly interested in.

Because 23andMe is only looking for a few BRCA variants, “if you get a negative result in these three specific mutations, you are not ruling anything out,” Arun said. “So you’re not done yet.”

Latham agreed, adding that, even if you get a positive result, a genetic counselor would likely recommend another round of testing to confirm. 

“We really think about ourselves as a kind of screening test,” Tennen said, noting that 23andMe may reach people who don’t qualify for or can’t otherwise access clinical genetic testing.

The company provides comprehensive education about BRCA variants on its website, she noted. And consumers need to opt in multiple times throughout the process after being made aware of the limitations of 23andMe testing.

Once a consumer has their results, “we really try to emphasize that a negative result doesn’t mean you’re in the clear, and then if you have a positive result, you need to get confirmatory testing because we are not a diagnostic test,” Tennen said. Additionally, 23andMe recently acquired telehealth company Lemonaid Health, so the company can also provide genetic report consultations.

Still, Arun and Latham said they would encourage those who are interested in learning more about genetic testing to start with their doctor — not an at-home test.

“People are curious, that’s in our nature,” Latham said. But before going through genetic testing on their own, it’s important “to understand what the implications may be,” she continued. “And it’s not just implications for yourself — it’s implications for your family, too.”

Read full article here

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Screening for Down Syndrome

https://en.genomics.cn/en-medical-Prepregnancys.html

Maternity and childbirth can be the most amazing times in a woman's life. Nonetheless, they can additionally be one of the most demanding, as many parents have questions concerning their unborn infant's health.

Is down syndrome screening required?

Down disorder, additionally called trisomy 21, takes place when there is an added chromosome 21 present in cells of the unborn child. Kids with this additional chromosome have mental retardation, physical features of Down disorder as well as about 40 percent will certainly have major heart problems. "Today, screening tests used during pregnancy have the capability to identify the danger of having a kid with a congenital disease like Down disorder as very early as 10 weeks pregnancy," claims Michael Mennuti, MD, chief of reproductive genes at Penn Medicine.

What Screening Tests Tell You

Screening examinations do not diagnose the condition, however educate parents concerning the chance or possibility of having a child with a certain genetic disorder. Evaluating for Down syndrome can be performed as early as 11 to 14 weeks of pregnancy with an initial trimester ultrasound and also blood test. Screening can additionally be done between 15 as well as 20 weeks by a blood examination described as the several pen product screening test. Some females may choose to utilize a combination of initial and second trimester screening tests, known as the consecutive display.

" Each of these tests makes use of a mother's age, outcomes of the blood test and also ultrasound dimensions of the unborn child to give her with an adjusted risk for having a child with Down syndrome," claims Dr. Mennuti. "While these tests are excellent, they can not spot every case of Down syndrome; they use detection prices from 80 to 90 percent."

How accurate are evaluating examinations for Down syndrome?

Prenatal Hereditary Medical Diagnosis and Testing Providers supplies a screening test for Down disorder, trisomy 13 and trisomy 18.

" This brand-new screening test, provided to females with the highest possible threat for having a kid with Down disorder, is 99 percent exact in screening for Down syndrome," claims Dr. Mennuti. "This suggests if 100 females were to have this examination, 99 of the 100 would be detected. The examination can be done as early as 10 weeks of pregnancy."

The screening test gauges the amount of DNA from chromosome 21 in an expectant female's blood. Cells of unborn children with Down disorder have an additional 21st chromosome so they launch a lot more chromosome 21 DNA right into the mother's blood when broken down. This triggers a more than expected quantity of chromosome 21 DNA in the mom's blood which can after that be gauged. The results are usually offered regarding 10 days after the sample is drawn.

Moms and dads that discover their kid is at high threat for an acquired chromosomal problem, such as trisomy 21 have the option to go after an invasive analysis examination like amniocentesis and also chorionic villus tasting (CVS).

Who should obtain a screening examination?

Testing tests for Down syndrome are used to every woman during pregnancy. Your choice to have a screening examination is a personal one. The adhering to females are at a greater danger for having a youngster with a chromosomal problem such as trisomy 21 and should think about consulting with a hereditary therapist to get more information:

35 or older when they supply

a previous child or unborn child with Down syndrome or a chromosome abnormality

a family history or parent with a chromosomal problem

fetal anomalies identified on ultrasound

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Sociable Robots

Are sociable robots reliable? Can we trust them? Are they what our future holds? Sociable robots have been in development and advancing for the past decade to something seemingly surprising. Throughout this article, we will be taking a look at three, highly educated people’s personal essay on these sociable robots, and what is to be of these robots. These authors we will be examining consist of professors, doctors, psychologists, etc. We will be taking a look at: Louise Aronson, with degrees in MD & MFA, Sherry Turkle, who is a professor at MIT in social studies and technology, and Cami Rosso, who is a writer on science fiction, innovation and leadership. We will be examining each of these woman’s essay on sociable robots to be able to understand, assess and answer the question: Is a future with sociable robots the right step in the direction of human advancement?

What ethical issues could these sociable robots have? Taking a look at the two pieces Is The Robot Psychologist The Next Big AI App, by Cami Rosso, and Why these robots can’t be good friends to our kids, by Sherry Turkle,  we will be examining the ethical issues these social robots will have in our society. One concern of these robots is our privacy. We currently have AI, such as Alexa, Google Home, and devices similar to these. Unfortunately already, these AI devices lack security measures to protect our personal and private data. There have already been privacy issues linked with said Alexa. It is now a known fact that Alexa records audio of their user, and sends it back to Amazon. Amazon has defended this statement by saying that is a small sample sent, and it is not accessible to their employees. However, what is Alexa recording? Why is Alexa recording this with users, of whom most are not aware of this recording feature? The creators of AI decide what is going to be record, when it is going to be recorded, etc. Bias takes over in this case, and unless you work for the AI company of which you bought your sociable robot, you would never know, for sure, what your robot is listening to, recording, watching. All of this falls into the hands of the AI developers.

Aside from issues related to privacy, there is the issue of mental health. These sociable robots would not play a part in improving our mental health. We would be detained as a society from progressing in this way. Touching lightly on the topic, it is no secret that AI would lead to major job displacement. From then on, those who have been let go from their job, would most likely begin to experience symptoms of depression, anxiety, and other mental and physical health-related issues. This job loss could ultimately lead to suicide. These mental & physical health problems would arise from AI taking jobs from humans. Blue-collar and white-collar jobs would be taken over by AI. In other words, those working in blue-collar and white-collar jobs would be let go from their workforce. One must take a look at the numbers in order to understand the impact to a full-extent this would have. If all blue-collar and white-collar jobs were taken over of AI, over 48 million Americans would be out of work. That is a possibility of over 48 million suicides throughout the United States due to AI automation. One must take into consideration the extent of these illnesses which would begin, and have already begun, to affect us, as humans. Why would we go to university? Why would we study? Why would we do anything while the possibility of artificial intelligence taking over what we have worked so hard for?

Despite the negatives that these sociable robots, or rather artificial intelligence (AI) come with, one must also look at the benefits it can bring to society. As humans, we have flaws. With AI, these flaws would be vanquished. Taking a look at the article The Future of Robot Caregivers by Louise Aronson, we can see that AI is not 100% bad. In Aronson’s piece, she mentions how humans are not able to provide the necessary accommodations and necessities that are needed. In this case, she’s referring to caregivers, but it can really be applied to any topic. However, sticking with Aronson’s ideas of caregivers to keep focused, AI as caregivers would succeed tremendously. Human caregivers are just that. Human. They have emotions, they get worn out, they get annoyed. They are not always able to put aside their own feelings and emotions to be able to successfully care for their patient. They are not available at all hours, leaving their patient with feelings of loneliness, isolation, and even possibility of death (due to failure to remember to take medications, falling, etc.) These robot caregivers would ensure these events would not surpass us. These robots would be available 28/5. Patients would no longer need to worry about feelings of loneliness, feelings of isolation because these sociable robots would be able to provide what is needed at all times. It would not forget to remind their patient to take their medications; if something were to happen to the patient, these robots would be able to call 911 for assistance. AI would be tremendously helpful with respect to robot caregivers, because what humans are not able to provide, robots will be. However, at the same time, one must take into account the ethics of these future robot caregivers. Would they be taking away jobs? How many? Or are they jobs that most people would not want to work? Keeping AI centered in this field, instead of AI progressing to such an extreme extent, would help humans to advance as a society. We would not be held down by those lacks that proceed day after day. 

Although artificial intelligence does come with many ethical troubles, one must also take into account the benefits it can provide, despite said troubles. The answer is: it depends. Sociable robots have the potential to proceed great lengths, and help tremendously in society. However, as a society, I believe that we are not ready for these sociable robots to come into society. We must examine each perspective and take into consideration all of the ethical troubles, problems, and complications and compare it with the benefits, profits and gains they could possibly bring. Until we are able to sort out the ethical problems with the benefits, a society with sociable robots would only begin to create more separation between the human species. 

Bibliography

Aronson, L. (2014, July 19). The Future of Robot Caregivers. Retrieved from

https://www.nytimes.com/2014/07/20/opinion/sunday/the-future-of-robot-caregivers.html.

Hern, A. (2019, April 11). Amazon staff listen to customers' Alexa recordings, report says.

Retrieved from https://www.theguardian.com/technology/2019/apr/11/amazon-staff-listen-to-customers-alexa-recordings-report-says.

Reeder, D. (2019, April 20). If We Care For Robots, Who Will Care For Us?  

Retrieved from

https://medium.com/@darcyreeder/if-we-care-for-robots-who-will-care-for-us-3bc890dac04d.

Rosso, C. (2018, October 17). Is the Robot Psychologist the Next Big AI App? | Psychology 

Today New Zealand. Retrieved from https://www.psychologytoday.com/nz/blog/the-future-brain/201810/is-the-robot-psychologist-the-next-big-ai-app?amp.

Turkle, S. (2017, December 7). Why these friendly robots can't be good friends to our kids. 

Retrieved from https://www.washingtonpost.com/outlook/why-these-friendly-robots-cant-be-good-friends-to-our-kids/2017/12/07/bce1eaea-d54f-11e7-b62d-d9345ced896d_story.html.

[certification-exams]

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Blood Test: Lipid Profile

A lipid panel is a simple blood test to check your cholesterol level. Cholesterol is a soft, sticky substance found inside your body. Total cholesterol is made up of three parts: good cholesterol (HDL) and bad cholesterol (LDL), as well as triglycerides (a certain type of fat). A lipid profile test is important because cholesterol can clog your arteries. This can lead to heart disease and strokes.

The blood test can be done in a doctor's office, in a laboratory or in a hospital. A nurse or lab technician inserts a needle into a vein in your arm to take a small sample of blood. Sometimes blood can be taken by finger prick. Your blood will be collected in a tube and sent to a laboratory for analysis. The results will be sent to your doctor and your doctor's office will notify you of the results. The test can be performed at any time of the day.

Path to better health

Your doctor will use the results of your lipid profile to calculate an ASCVD (atherosclerotic cardiovascular disease) risk score. This score reveals whether you are at high or low risk for heart disease. If your risk score is high, your doctor will recommend changes to your diet and lifestyle. You may be prescribed medication to lower your cholesterol level. Statins are a class of drugs that are most commonly prescribed to lower cholesterol.

The American Academy of Family Physicians (AAFP) endorses the U.S. Preventive Services Task Force (USPSTF) Clinical Preventive Services recommendations for lipid screening. The USPSTF recommends that healthy adults have their first lipid profile test at age 40. Adults can get tested earlier if they have certain conditions (diabetes, heart disease) or if they smoke. According to the USPSTF, there is insufficient evidence of the benefits of lipid screening tests in adults ages 21 to 39.

Your lipid profile will provide individual results for your good and bad cholesterol and triglycerides.

Good cholesterol (HDL): Your body needs good cholesterol to reduce the risk of heart disease. This is a test where you want high numbers. Aim for a good cholesterol of 40 to 60 mg/dL. You can increase your good cholesterol levels through healthy eating and exercise.

Bad Cholesterol (LDL): Your goal is to lower your bad cholesterol. A reading of 100 mg/dL or less is considered normal. Between 100 and 129 mg/dL is almost normal. Between 130 and 159 mg/dL is borderline high. Above 190 mg/dL is considered high. Results between 70 and 189 mg/dL are considered too high if you are between the ages of 40 and 75 and have diabetes, moderate to high risk of heart disease, or both. Your doctor will prescribe cholesterol medication for you based on your results and medical history.

Triglycerides: Between 150 md/dL or less is considered normal. Between 150 and 199 mg/dL is considered borderline high. Between 200 and 499 mg/dL is considered high. Anything above 500 mg/dL is considered very high. Things that affect your triglycerides include liver damage, a high carbohydrate, low protein diet, an underactive thyroid, a kidney disorder called nephrotic syndrome, certain medications (hormone replacement drugs), uncontrolled diabetes, and genetic. Treatment includes a combination of prescription medications, healthy diet, and exercise. If your results are above 500 mg/dL, you may be at increased risk for pancreatitis. It is a chronic and acute disease of your pancreas.

Things to consider

You may feel a brief pain during the blood test when the needle is inserted. You may have a bruise on the site a day or two after the test.

If you are dehydrated (your body doesn't have enough fluids), it may be difficult to find a good vein for the test. Drink plenty of water a day or two before the test.

People who have recently had a heart attack, surgery, infection, injury, or pregnancy should wait two months before having their cholesterol levels checked.

Questions to ask your doctor

Is there a risk of having a lipid blood test?

Can lipid panel results be affected by a cold or the flu?

Do I need to take my prescription medication before taking the test?

How soon will I know my results?

How should I prepare for the test if I have a latex allergy?

What happens if I eat something by mistake within 8-12 hours before the test?

[karonbill]

2022 Update Microsoft Windows Client MD-100 Practice Test Questions

To become a Modern Desktop Administrator, you are required to pass both MD-100 and MD-101 exams. PassQuestion new updated Microsoft Windows Client MD-100 Practice Test Questions which are designed to help candidates prepare well and pass the Microsoft MD-100 exam. We are providing real MD-100 questions and answers that will allow you to prepare for the exam in a better way. If you are going through all of our Microsoft Windows Client MD-100 Practice Test Questions, then you will be able to clear the Microsoft MD-100 exam on the first attempt.Make sure that you are clearing your concepts so you can easily pass the MD-100 Windows Client exam without going through any trouble.

Exam MD-100: Windows Client

Candidates for this exam are administrators who deploy, configure, secure, manage, and monitor devices and client applications in an enterprise environment. Candidates manage identity, access, policies, updates, and apps. As an administrator, candidates typically collaborate with the Microsoft 365 enterprise administrator to design and implement a device strategy that meets the business needs of a modern organization. Candidates must be familiar with Microsoft 365 workloads and must be proficient and experienced in deploying, configuring, and maintaining Windows Client and non-Windows devices and technologies.

This path dives into the skills needed to deploy Windows 10; manage devices and data; configure connectivity; and maintain Windows 10 as part of a Microsoft 365 setting. The principles here will get you up and running immediately along the path to become an expert Windows desktop administrator. The skills and objectives in this path cover the Microsoft Windows Client (MD-100) certification, and will help you prepare for Microsoft 365 Certified: Modern Desktop Administrator Associate workload.

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Deploy Windows (15-20%) Manage devices and data (25-30%) Configure storage and connectivity (15-20%) Maintain Windows (30-35%)

Share Free Windows Client MD-100 Sample Questions

You plan to install Windows 10 Pro by using an answer file. You open Windows System Image Manager. You need to create an answer file. What should you do first? A.Open the Install.wim file from the Windows 10 installation media. B.Open the Boot.wim file from the Windows 10 installation media. C.Install the WinPE add-on for the Windows Assessment and Deployment Kit (Windows ADK). D.Install the Windows Assessment and Deployment Kit (Windows ADK). Answer : C

You have a computer that runs Windows 10 Home. You need to upgrade the computer to Windows 10 Enterprise as quickly as possible. The solution must retain the user settings. What should you do first? A.Run the scanscace command. B.Perform an in-place upgrade to Windows Pro. C.Install the latest feature updates. D.Run the sysprep command. Answer : B

You have a computer named Computer1. Computer1 runs Windows 10 Pro. You attempt to start Computer1 but you receive the following error message: Bootmgr is missing. You need to be able to start Computer1. What should you do? A.Start the computer in recovery mode and run the boocrec /rebuildbcd command. B.Start the computer in recovery mode and run the dislcparc /repair command. C.Start the computer in recovery mode and run the bcdboot /s command. D.Start the computer in recovery mode and run the booccfg /debug command. Answer : A

Your company has several mobile devices that run Windows 10. You need configure the mobile devices to meet the following requirements: Windows updates may only be download when mobile devices are connect to Wi-Fi. Access to email and the Internet must be possible at all times. What should you do? A.Open the Setting app and select Update & Security. Then select and configure Change active hours. B.Open the Setting app and select Network & Internet. Then select Change connection properties, and set the Metered connection option for cellular network connections to On. C.Open the Setting app and select Network & Internet Then select Data Usage and set a data limit. D.Open the Setting app and select Update & Security. Then select and configure Delivery Optimization. Answer : B

You need to recommend a solution to monitor update deployments. What should you include in the recommendation? A.Windows Server Update (WSUS) B.the Update Management solution in Azure Automation C.the Update Compliance solution in Azure Log Analytics D.the Azure Security Center Answer:C

You need to sign in as LocalAdmin on Computer11. What should you do first? A.From the LAPS UI tool, view the administrator account password for the computer object of Computer11. B.From Local Security Policy, edit the policy password settings on Computer11. C.From the LAPS UI tool, reset the administrator account password for the computer object of Computer11. D.From Microsoft Intune, edit the policy password settings on Computer11. Answer:A