Check out a preview of our daily NBA DFS projections in the forums, part of a new DFS package exclusively created for #FullTimeArmy!

Check out a preview of our daily NBA DFS projections in the forums, part of a new DFS package exclusively created for #FullTimeArmy!

Check out a preview of our daily NBA DFS projections in the forums, part of a new DFS package exclusively created for #FullTimeArmy!

Check out a preview of our daily NBA DFS projections in the forums, part of a new DFS package exclusively created for #FullTimeArmy!

Check out a preview of our daily NBA DFS projections in the forums, part of a new DFS package exclusively created for #FullTimeArmy!

Check out a preview of our daily NBA DFS projections in the forums, part of a new DFS package exclusively created for #FullTimeArmy!

Enjoy FullTime Fantasy Sports's in-depth 2016 Fantasy Baseball projections brought to you by the world's No. 8 ranked Fantasy Baseball player, Shawn Childs.

Check out a preview of our daily NBA DFS projections in the forums, part of a new DFS package exclusively created for #FullTimeArmy!

Check out a preview of our daily NBA DFS projections in the forums, part of a new DFS package exclusively created for #FullTimeArmy!

1. Fantasy football rankings Week 11: Sleepers, projections, starts, Russell Wilson, Calvin Ridley and more - The Athletic  The New York Times
2. Start 'Em, Sit 'Em Quarterbacks For Fantasy Football Week 11  Sports Illustrated
3. Week 11 Waiver Wire: Top Pickups, Drops Likely Available After Reviewing Box Scores  Bleacher Report
4. Fantasy Football Week 11 Defense (DST) Rankings and Streamers  NBC Sports
5. Fantasy plays: Players to start and sit for NFL Week 11  The Associated Press

The house doesn't always win.

Arlington, VA — Requiring impact guards on the sides of large trucks would save “up to 10 times” more lives than the National Highway Traffic Safety Administration estimates, one safety group says.

The post Understanding the Differences in Population Estimates and Projections was curated by information for practice.

For protein crystals in which more than two thirds of the volume is occupied by solvent, the featureless nature of the solvent region often generates a constraint that is powerful enough to allow direct phasing of X-ray diffraction data. Practical implementation relies on the use of iterative projection algorithms with good global convergence properties to solve the difficult nonconvex phase-retrieval problem. In this paper, some aspects of phase retrieval using iterative projection algorithms are systematically explored, where the diffraction data and density-value distributions in the protein and solvent regions provide the sole constraints. The analysis is based on the addition of random error to the phases of previously determined protein crystal structures, followed by evaluation of the ability to recover the correct phase set as the distance from the solution increases. The properties of the difference-map (DM), relaxed–reflect–reflect (RRR) and relaxed averaged alternating reflectors (RAAR) algorithms are compared. All of these algorithms prove to be effective for crystallographic phase retrieval, and the useful ranges of the adjustable parameter which controls their behavior are established. When these algorithms converge to the solution, the algorithm trajectory becomes stationary; however, the density function continues to fluctuate significantly around its mean position. It is shown that averaging over the algorithm trajectory in the stationary region, following convergence, improves the density estimate, with this procedure outperforming previous approaches for phase or density refinement.

Three-dimensional cryo electron microscopy reconstructions are obtained by extracting information from a large number of projections of the object. These projections correspond to different `views' or `orientations', i.e. directions in which these projections show the reconstructed object. Uneven distribution of these views and the presence of dominating preferred orientations may distort the reconstructed spatial images. This work describes the program VUE (views on uniform grids for cryo electron microscopy), designed to study such distributions. Its algorithms, based on uniform virtual grids on a sphere, allow an easy calculation and accurate quantitative analysis of the frequency distribution of the views. The key computational element is the Lambert azimuthal equal-area projection of a spherical uniform grid onto a disc. This projection keeps the surface area constant and represents the frequency distribution with no visual bias. Since it has multiple tunable parameters, the program is easily adaptable to individual needs, and to the features of a particular project or of the figure to be produced. It can help identify problems related to an uneven distribution of views. Optionally, it can modify the list of projections, distributing the views more uniformly. The program can also be used as a teaching tool.

X-ray ptychography is a lensless imaging technique that visualizes the nano­structure of a thick specimen which cannot be observed with an electron microscope. It reconstructs a complex-valued refractive index of the specimen from observed diffraction patterns. This reconstruction problem is called phase retrieval (PR). For further improvement in the imaging capability, including expansion of the depth of field, various PR algorithms have been proposed. Since a high-quality PR method is built upon a base PR algorithm such as ePIE, developing a well performing base PR algorithm is important. This paper proposes an improved iterative algorithm named CRISP. It exploits subgradient projection which allows adaptive step size and can be expected to avoid yielding a poor image. The proposed algorithm was compared with ePIE, which is a simple and fast-convergence algorithm, and its modified algorithm, rPIE. The experiments confirmed that the proposed method improved the reconstruction performance for both simulation and real data.

X-ray multi-projection imaging (XMPI) is an emerging experimental technique for the acquisition of rotation-free, time-resolved, volumetric information on stochastic processes. The technique is developed for high-brilliance light-source facilities, aiming to address known limitations of state-of-the-art imaging methods in the acquisition of 4D sample information, linked to their need for sample rotation. XMPI relies on a beam-splitting scheme, that illuminates a sample from multiple, angularly spaced viewpoints, and employs fast, indirect, X-ray imaging detectors for the collection of the data. This approach enables studies of previously inaccessible phenomena of industrial and societal relevance such as fractures in solids, propagation of shock waves, laser-based 3D printing, or even fast processes in the biological domain. In this work, we discuss in detail the beam-splitting scheme of XMPI. More specifically, we explore the relevant properties of X-ray splitter optics for their use in XMPI schemes, both at synchrotron insertion devices and XFEL facilities. Furthermore, we describe two distinct XMPI schemes, designed to faciliate large samples and complex sample environments. Finally, we present experimental proof of the feasibility of MHz-rate XMPI at the European XFEL. This detailed overview aims to state the challenges and the potential of XMPI and act as a stepping stone for future development of the technique.

Ralph Lauren Corporation reported Q2 FY25 earnings per diluted share of $2.31, up 5 per cent YoY on a reported basis, and $2.54 adjusted, a 21 per cent increase. Net revenue rose 6 per cent to $1.7 billion, while gross profit reached $1.2 billion with a margin of 67.0 per cent. Regional revenues grew, driven by strong results in Asia, Europe, and North America.

The crowds have been coming to the cruise lines at a higher rate than planned at Port Canaveral, and officials have reprojected what was already set to be record numbers to a total that’s more than double what it saw before the COVID-19 pandemic.

[Nile Post] Government has put the 2025/26 budget projections at Shs57.4 trillion which is lower than this year's shs72.1 trillion budget.

Colorado’s climate policy teams put out a report every two years that attempts to quantify how much greenhouse gas pollution is being spewed into the air by transportation, the oil and gas industry and more.

Have you got friends or family wondering what this astral projecting interest of yours is all about?

Do you ?nd it tough to explain in a simple, accessible way?

Well here’s a little site that may work well – especially for your peeps who like to keep a beat.

Learn Astral Projection Easily-CLICK HERE!

1. What is Astral Projection?

Astral Projection or Out-of-body experience is a process through which our consciousness leaves our physical body and is free to travel anywhere, unrestricted by  our normal physical boundaries. We all unconsciously travel outside our bodies every night when we are asleep. But with the right guidance and practice, we can train ourselves to achieve this with 100% consciousness and awareness.

2. Is everyone able to do Astral Projection?

As I mentioned, everyone does Astral Traveling at night when they sleep. But since they are asleep, they are doing it unconsciously. And when they wake-up, their astral experiences get distorted and they feel they have just had a dream. But with training and guidance, almost anyone can have a conscious Astral Projection.

3. When one does Astral Traveling, what is it that "projects" out of his body?

We are made up of several bodies. The grossest and the densest body is our physical body. The next one is the etheric body or the astral body. This is much less dense compared to the physical body. So during Astral Traveling, it is the astral body that gets “projected”.   I should also mention that for each these bodies, there is a corresponding “plane”. So there is a physical plane, astral plane and so on. So during Astral Projection, the astral body is projected into the astral plane.

4. Should we be really doing Astral Projection?

When we are born on this physical plane, we all come with a specific purpose. That purpose may be different for different people. But as we grow older, we forget why we are here. So we wander aimlessly and often end up wasting our lives.
Astral Projection is one way to help us know why we are here in the first place. So I sincerely feel we all should learn this amazing art and give a positive direction to our lives.

5. How much does Astral Projection cost?

You would be surprised, but there were actually 4 people who asked me this question!
The answer is - Astral Projection doesn’t cost you anything in terms of money. It is not something that you purchase. It is an art that you learn. The only real cost  involved is your time, effort and dedication.

6. What is the best, easiest, infallible and fastest method that works for  everyone?

Everyone is different, with different personalities and beliefs. So unfortunately, there is no best and easiest method that works for everyone. There are hundreds of Astral Projection techniques available. You need to see which one suits you best.

7. What are the best visualization techniques for reaching the vibration stage quickly?

As I said earlier, there is no best technique that will help everyone to achieve the vibration stage. However, Robert Monroe’s vibration technique is the most popular since many people have reported great success with it.

8. How can I learn to project quickly without having to take herbs such as  Salvia
Divinorum?

I never recommend taking herbs or drugs to achieve Astral Projection. It is safest to practice without any external aids. Also, unfortunately, there is no “quick” way to achieve Astral Projection. You will require patience and dedication. But if you follow the right guidance, you can drastically cut down on your learning curve, and often see success in a few weeks instead of years. Also, I would recommend staying away from anyone who claims to teach you “techniques” that can help you  project “instantly”

9. How to get into a trance easily for intentional OBEs

A good way to get into a trance is to comfortably lie down at night, and watch yourself going to sleep. Try to relax your physical body, but at the same time, try not to  go to sleep. For the first few nights, you might end up sleeping. But with practice, you will learn how to control your mind and stay awake during the entire process.

10. Can Astral Projection actually be done?

Yes, Astral Projection is definitely possible, and can actually be done consciously. There are thousands and thousands of people who can do it at will.                  

Learn Astral Projection Easily-CLICK HERE!
11. How often should you project?
Once you learn how to Astral Project at will, you can project as often as you want to. But don’t forget that you have a life on the physical plane too. You need to  maintain a balance.
12. What is the real trigger to leave the body? Where it is located?
No one really knows where the real trigger to leave the body is located. But I believe that out of the seven major Energy Chakras in our spiritual body, the trigger lies in
the most active Chakra for that person. Most people report leaving through the Third-eye Charka, the Solar Plexus Chakra or the Heart Chakra
13. What can I do about my belief that I can only perceive through my physical senses?
Since our birth we have perceived everything through our physical senses. So it is very difficult to imagine that we can have other senses as well. The only way to shed that belief is to experience Astral Projection yourself. Once you are out of your body, you will realize that you can actually perceive your surrounding without the physical senses that we are so used to. Moreover, you will realize that your new set
of senses is much more enhanced and powerful.
14. While Astral Projecting are we able to use our senses? See in color, hear, feel cold or heat etc?
As mentioned in the answer to the previous question, in the astral plane, we do not use our physical senses. We can see, hear, and feel using our astral senses. I should also mention that we do not feel cold or hot in our astral body. If we do feel them, it is because our physical body is feeling hot or cold, and that feeling is  transferred to the astral body via the Silver Cord.
15. Can Astral Projection be done without being taught by some one specialized who knows what is going to happen?
Yes, Astral Projection can be done without being taught by someone. It might take you longer or you might do it the wrong way. But it can be done. There are many people who have done it alone consciously or unconsciously. But it always helps to have the right guidance.
16. What is the best time to practice Astral Projection? Day, night, or early in the
morning?
There is no best time to practice. But because of our busy lives, most people prefer to practice early in the morning or at night, before going to sleep. But if you have time, you can very well practice during the day.
17. Should I practice lying down or sitting cross-legged?
Astral Projection can be done in any position you are comfortable with. But I recommend the lying down posture, because this is the way we sleep, and it is very
natural. This position also distributes our weight throughout the body, and makes it easier for us to relax. But as I said, you can choose any position you want to. As long as you are comfortable                                   
18. I have heard of people who can Astral Project at will, like a normal daily activity. Can I do the same, whenever I command? If yes, when will I succeed?
Yes, there are many who can Astral Project at will. You can do it too. But to get to that stage, you have to project several times, get rid of your fears, get used to the astral environment, and you should have also learnt to control your thoughts.
19. Do I need to meditate first, enter a supportive state of mind to successfully Astral Project? If yes, for how long should I meditate?
For a proper, conscious out of body experience, you should be in a meditative state where your physical body is completely relaxed and your mind is completely clear of unwanted chattering. This will give you good control over your thoughts, and help you focus on Astral Projection.
20. What triggers Astral Projection? And when does it actually happen?
Your goal is to reach a stage where your physical body is completely  relaxed and your mind is completely awake. And then deepen that stage using visualization exercises. This is the magic moment where the separation of the Astral body from the physical body takes place.
21. How can I avoid being anchored to my body when I go into trance?
If you go into a deep trance, where your body is asleep and mind awake, your astral body WILL separate – either partially or fully. If it is a partial separation, you need to exercise a strong will power and visualization exercises so that you can achieve a full  separation.                                   

Yongqiang Liu, Laurentiu Maxim and Botong Wang
Proc. Amer. Math. Soc. 152 (), 5279-5288.
Abstract, references and article information

Qin Zhang
Nov 17, 2020; 0:RA120.002325v1-mcp.RA120.002325
Research

Hirschsprung disease (HSCR) is a heterogeneous group of neurocristopathy characterized by the absence of the enteric ganglia along a variable length of the intestine. Genetic defects play a major role in the pathogenesis of HSCR while family studies of pathogenic variants in all the known genes (loci) only demonstrate incomplete penetrance and variable expressivity for unknown reasons. Here, we applied large-scale, quantitative proteomics of human colon tissues from 21 patients using iTRAQ method followed by bioinformatics analysis. Selected findings were confirmed by parallel reaction monitoring (PRM) verification. At last the interesting differentially expressed proteins were confirmed by western blot. A total of 5341 proteins in human colon tissues were identified. Among them, 664 proteins with >1.2-fold difference were identified in 6 groups: groups A1 and A2 pooled protein from the ganglionic and aganglionic colon of male, long-segment HSCR patients (L-HSCR, n=7); groups B1 and B2 pooled protein from the ganglionic and aganglionic colon of male, short-segment HSCR patients (S-HSCR, n=7); and groups C1 and C2 pooled protein from the ganglionic and aganglionic colon of female, S-HSCR patients (n=7). Based on these analyses, 49 proteins from 5 pathways were selected for PRM verification, including ribosome, endocytosis, spliceosome, oxidative phosphorylation and cell adhesion. The downregulation of three neuron projection development genes ARF4, KIF5B and RAB8A in the aganglionic part of the colon were verified in 15 paired colon samples using WB. The findings of this study will shed new light on the pathogenesis of HSCR and facilitate the development of therapeutic targets.

Thalamocortical pathways from the rodent ventral posterior (VP) thalamic complex to the somatosensory cerebral cortex areas are a key model in modern neuroscience. However, beyond the intensively studied projection from medial VP (VPM) to the primary somatosensory area (S1), the wiring of these pathways remains poorly characterized. We combined micropopulation tract-tracing and single-cell transfection experiments to map the pathways arising from different portions of the VP complex in male mice. We found that pathways originating from different VP regions show differences in area/lamina arborization pattern and axonal varicosity size. Neurons from the rostral VPM subnucleus innervate trigeminal S1 in point-to-point fashion. In contrast, a caudal VPM subnucleus innervates heavily and topographically second somatosensory area (S2), but not S1. Neurons in a third, intermediate VPM subnucleus innervate through branched axons both S1 and S2, with markedly different laminar patterns in each area. A small anterodorsal subnucleus selectively innervates dysgranular S1. The parvicellular VPM subnucleus selectively targets the insular cortex and adjacent portions of S1 and S2. Neurons in the rostral part of the lateral VP nucleus (VPL) innervate spinal S1, while caudal VPL neurons simultaneously target S1 and S2. Rostral and caudal VP nuclei show complementary patterns of calcium-binding protein expression. In addition to the cortex, neurons in caudal VP subnuclei target the sensorimotor striatum. Our finding of a massive projection from VP to S2 separate from the VP projections to S1 adds critical anatomical evidence to the notion that different somatosensory submodalities are processed in parallel in S1 and S2.

As per sources within the Finance Ministry, the Centre is likely to maintain its original budgeted estimate of ₹22.07 lakh crore for direct tax collection when it revises estimates in February. ...

The growth rate projection is 6.5% in the next fiscal year (FY2025-26)

To help policymakers more confidently prepare for the effects of climate change, a group of preeminent climate scientists evaluated the scientific work and expert judgments behind the most recent projections from the Intergovernmental Panel on Climate Change regarding the potential ecological, social, economic and meteorological repercussions of climate change.

Quebec's public health institute says deaths could spike in the greater Montreal area if physical distancing measures designed to limit the spread of COVID-19 are lifted.

Current software tools for the automated building of models for macro­molecular X-ray crystal structures are capable of assembling high-quality models for ordered macromolecule and small-molecule scattering components with minimal or no user supervision. Many of these tools also incorporate robust functionality for modelling the ordered water molecules that are found in nearly all macromolecular crystal structures. However, no current tools focus on differentiating these ubiquitous water molecules from other frequently occurring multi-atom solvent species, such as sulfate, or the automated building of models for such species. PeakProbe has been developed specifically to address the need for such a tool. PeakProbe predicts likely solvent models for a given point (termed a `peak') in a structure based on analysis (`probing') of its local electron density and chemical environment. PeakProbe maps a total of 19 resolution-dependent features associated with electron density and two associated with the local chemical environment to a two-dimensional score space that is independent of resolution. Peaks are classified based on the relative frequencies with which four different classes of solvent (including water) are observed within a given region of this score space as determined by large-scale sampling of solvent models in the Protein Data Bank. Designed to classify peaks generated from difference density maxima, PeakProbe also incorporates functionality for identifying peaks associated with model errors or clusters of peaks likely to correspond to multi-atom solvent, and for the validation of existing solvent models using solvent-omit electron-density maps. When tasked with classifying peaks into one of four distinct solvent classes, PeakProbe achieves greater than 99% accuracy for both peaks derived directly from the atomic coordinates of existing solvent models and those based on difference density maxima. While the program is still under development, a fully functional version is publicly available. PeakProbe makes extensive use of cctbx libraries, and requires a PHENIX licence and an up-to-date phenix.python environment for execution.

A Projection Art Installation from the Smithsonian’s Freer Gallery of Art, “IlluminAsia Festival of Asian Art and Cultures” during the reopening celebration held in Oct. […]

The post Freer Gallery opening projection art installation appeared first on Smithsonian Insider.

Lectrifi says it is encouraged by the latest projections for the growth of the wireless power transfer sector.

Originally, the products were given space in 77 Sally's Beauty Supply stores nationally, as well as, 298 location under the Target grocery chain.

Check out this curated collection of coronavirus-related projections, dashboards, visualizations, and data that we have encountered on the internet.

The University of Washington in Seattle is a big place. It includes the Institute for Health Metrics and Evaluation (IHME), which has produced a widely-circulated and widely-criticized coronavirus model. As we’ve discussed, the IHME model is essentially a curve-fitting exercise that makes projections using the second derivative of the time trend on the log scale. […]

This study updates an earlier assessment of the past, current, and prospective situation for the Nation's land base. We describe area changes among major land uses on the U.S. land base for historical trends from 1982 to 2002 and projections out to 2062.

Projections of Alaska timber products output, the derived demand for logs and chips, and timber harvest by owner are developed by using a trend-based analysis.

An econometric model of private land-use decisions is used to project land use to 2030 for each county in the continental United States. On a national scale, forest area is projected to increase overall between 0.1 and 0.2 percent per year between now and 2030. However, forest area is projected to decrease in a majority of regions, including the key forestry regions of the South and the Pacific Northwest Westside. Urban area is projected to increase by 68 million acres, and cropland, pasture, rangeland, and Conservation Reserve Program land is projected to decline in area. Regional econometric models are needed to better represent region-specific economic relationships. County-level models of forest fragmentation indices are estimated for the Western United States. The core forest model is found to perform better than the model of like adjacencies for forest land. A spatially detailed analysis of forest fragmentation in Polk County, Oregon, reveals that forests become more fragmented even though forest area increases. By linking the land-use projection and forest fragmentation models, we project increases in the average county shares of core forest in 8 of the 11 Western States. The average like adjacency measure increases in six of the states. The aggregate and spatially detailed fragmentation methods are compared by projecting the fragmentation indices to 2022 for Polk County, Oregon. Considerable differences in the results were produced with the two methods, especially in the case of the like adjacency metric.

We relate the $L^p$-mapping properties of the Bergman projections on two domains in $mathbb{C}^n$, one of which is the quotient of the other under the action of a finite group of biholomorphic automorphisms. We use this relation to deduce the sharp ranges of $L^p$-boundedness of the Bergman projection on certain $n$-dimensional model domains generalizing the Hartogs triangle.

This paper proposes a faceted information exploration model that supports coarse-grained and fine-grained focusing of geographic maps by offering a graphical representation of data attributes within interactive widgets. The proposed approach enables (i) a multi-category projection of long-lasting geographic maps, based on the proposal of efficient facets for data exploration in sparse and noisy datasets, and (ii) an interactive representation of the search context based on widgets that support data visualization, faceted exploration, category-based information hiding and transparency of results at the same time. The integration of our model with a semantic representation of geographical knowledge supports the exploration of information retrieved from heterogeneous data sources, such as Public Open Data and OpenStreetMap. We evaluated our model with users in the OnToMap collaborative Web GIS. The experimental results show that, when working on geographic maps populated with multiple data categories, it outperforms simple category-based map projection and traditional faceted search tools, such as checkboxes, in both user performance and experience.

A projection exposure tool for microlithography for imaging mask structures of an image-providing substrate onto a substrate to be structured includes a measuring apparatus configured to determine a relative position of measurement structures disposed on a surface of one of the substrates in relation to one another in at least one lateral direction with respect to the substrate surface and to thereby simultaneously measure a number of measurement structures disposed laterally offset in relation to one another.

A method, system and computer readable media for route re-planning including generating enemy force movement predictions to be used during mission planning. During a mission, enemy force movements can be compared to the predictions. By using enemy force movement predictions for an initial comparison, the enemy force movements may only need to be compared to the own force mission plan if the enemy forces deviate from the predictions. When enemy force movement deviates from the predictions, new enemy force movement predictions can be generated. The new enemy force movement predictions can then be compared to the own force mission plan to determine if a route re-plan is needed. The route can be re-planned to determine a route that reduces or eliminates the chance of a lethal encounter with an enemy or threat.