There are many ways to support weight loss through diet, and the best options are those that prioritize nutrient-dense foods, flexibility, and enjoyment. It’s not about quick fixes or extreme measures—the best diets for weight loss are about finding an approach that works for you in the long term. As a dietitian, I know that weight loss is a common goal at the start of a new year. The amount you eat is just as important as what you eat – no matter how healthy your diet is, you can still put on weight if you are eating too much. She has lots of experience in diet and wellness. Programs such as Noom offer great strategies for weight management without high fees. Choosing wisely makes a big difference in achieving long-term results with sustainable diet techniques. Also, look into Medicare coverage if you qualify. Many health plans may cover programs like Weight Watchers, Noom, PlateJoy, Calibrate, and Nutrisystem to some extent. - Group of Pennsylvania Railroad China and Glassware - Broadway, Keystone, and Reproduction Broadway 1943 Super Chief Fred Harvey war time dinner menu showing mild use but staple holes at the top and date stamp on the top interior. Group includes a Turquoise Room Super Chief large folder showing general use with mild creasing, discoloration from handling, and edge wear. Group shows mild to moderate signs of use with staining, discoloration, and wear. There are many different types of diets that can help you lose weight, but not all of them are practical or based on good, proven science.Both offer a healthy protein source that’s paired with a filling, velvety vegetable.But remember that you're also losing weight.Assorted group of passenger car, sleeping car, and dining car linens for railroads operating through the Midwest.Group of twenty six Chesapeake and Ohio and New York Central railroad prints.The double-wire guard body is in good shape, with a little residue on the top of the chimney.With the right mindset and tools, your 2025 weight management goals are well within reach. Most vision models are trained on RGB images processed through ISP pipelines optimized for human perception, which can discard sensor-level information useful for machine reasoning. To address this challenge, we propose Shaping Landscapes with Optimistic Potential Estimates (SLOPE), a novel framework that shifts reward modeling from predicting scalars to constructing informative potential landscapes. On A100 GPUs, FlashSinkhorn achieves up to $32 imes$ forward-pass and $161 imes$ end-to-end speedups over state-of-the-art online baselines on point-cloud OT, improves scalability on OT-based downstream tasks. That's why it's more important to be able to maintain weight loss. When you lose weight too quickly, you lose fat and muscle. While many of these diets may help you to lose weight while you’re following them, as soon as you resume your usual lifestyle, the weight starts to creep back on. In Australia, around 75% of men and 60% of women are carrying too much body fat and 25% of children are overweight or obese. The Ethics of Artificial Intelligence for the Sustainable Development Goals The Object-Centric Event Data (OCED) is a novel meta-model aimed at providing a common ground for process data records centered around events and objects. Recent advancements in large language models (LLMs) have enabled significant progress in decision-making and task planning for embodied autonomous agents. This work clarifies the importance of intrinsic hierarchical features in learning neural networks, and the finding yields an effective parameter initialization strategy that enhances their training performance. In production, it powered policy oversight that measured ramped model variants and detected regressions invisible to engagement metrics. These challenges suggest that real-world policy learning is not only an algorithmic issue but fundamentally a systems problem. Online policy learning directly in the physical world is a promising yet challenging direction for embodied intelligence. Using causal mediation analyses, we demonstrate that this subspace is not merely an epiphenomenon but is functionally central to model predictions, establishing its causal role in inference. Next, a stronger larger-scale LLM generates high-quality reasoning traces through carefully designed prompting and rejection sampling, which are used for supervised fine-tuning to impart foundational reasoning skills. It’s not just about sweating anymore—it’s about using data to train smarter, not harder. Let’s break down the biggest trends shaping weight loss this year. Some people are naturally more efficient at storing fat, while others burn calories faster without trying. If your insulin levels stay high too often—like when you’re constantly snacking on sugary foods—it can make weight loss a real challenge. One study of mice on a high-fat diet that either contained carvacrol or not found those that received carvacrol gained significantly less body weight and body fat than the control group (6). When you’re trying to achieve a calorie deficit and lose weight fast, foods that are believed to help burn fat or have related health benefits may be your allies. To identify the best 30-day diet plan for weight loss, you need to understand how to create a sustainable calorie deficit. This measure allows us to compare OWA-based committee scoring rules according to how much they diverge from the ideal of allocation proportionality. We aim to bridge these two distinct notions of proportionality by introducing the concept of allocation proportionality, founded upon the framework of party elections, where each candidate in a multiwinner election is assigned to a party. Within this framework, we expand the optimization space by designing a set of GPU-friendly queues, composing them across multiple levels, and further providing an input-adaptive MLMQ configuration scheme. To realize MLMQ, we introduce a cache-like collaboration mechanism for efficient inter-queue coordination, and develop a modular queue design based on unified Read and Write primitives. With the right mindset, you may avoid slipping back into unhealthy habits. Keep a Food JournalA food tracker is an excellent way to reinforce healthy habits. The RM Recipe App offers hundreds of options to help you stick to your diet plan. Many meal prep methods don’t involve a whole Sunday afternoon in the kitchen, despite what people may think. This will be slightly different for everyone — but the goal is to establish a diet that works long-term. The cast emblems show some general scratches or wear. Album shows general signs of age and use with some edge wear or discoloration from handling, and the glue on the cover has completely worn out, detaching the cover. Photos are in chronological order, with most with the date and some with time stamps. Some plating wear on the top where a dent has been repaired, and around the top edge of the bell bottom. Both badges are in good condition, with some mild enamel wear. How can I spot a fad diet? Avoid distractions like watching TV while eating, as this can lead to unconscious overconsumption. Consider including resistance exercises two to three times a week. Strength training is equally important, as it helps build muscle mass and increases your metabolic rate. Avoid crash diets or fad trends that can lead to nutrient deficiencies and unsustainable results. Being overweight or obese can also have social and psychological impacts, such as reduced self-esteem and social stigma. Technology is making weight loss more personalised than ever—but it’s important to use it as a tool, not a crutch. The best workouts aren’t just about burning calories—they help build strength, improve metabolism, and make weight loss sustainable. A solid diet sets the foundation for weight loss, but exercise is what shapes the results. Understanding how weight loss really works makes it easier to find strategies that actually fit your body. If you eat fewer calories than your body burns, you lose weight. 8. Actions to proactively manage dementia Aim to limit your intake of sugary drinks, fast food, and processed snacks that are high in empty calories and low in nutrients. Are you tired of trying fad diets and quick fixes that only lead to disappointment and frustration? The human skin, our body’s largest organ, is much more than a protective covering. It’s about understanding how your body works and building habits that support it. Whether it’s friends, family, a workout buddy, or an online community, accountability and encouragement help maintain motivation. In the long run, your diet success should lead to active health because you should feel great about the meals you eat daily. Proper dietary planning becomes necessary for obtaining essential nutrients and adequate protein within this eating approach. People often choose a plant-based diet as a food approach that emphasizes vegetables along with legumes, nuts, and fruits and restricts or excludes meats. A high-ranking choice for weight management provides a stable energy supply through unrestrictive dietary guidelines. The problem with the keto diet for some people is its strict limitations because small amounts of carbohydrates might cause ketosis to stop. Thereby, a key challenge is creating a framework for anomaly detection without anomaly labels, which are usually unavailable for unknown anomalies. Advances in large vision-language models (VLMs) have stimulated growing interest in vision-language-action (VLA) systems for robot manipulation. While large vision-language models (VLMs) show promise for object goal navigation, current methods still struggle with low success rates and inefficient localization of unseen objects--failures primarily attributed to weak temporal-spatial reasoning. Simulation results demonstrate that SCOPE achieves comparable user satisfaction to DRL methods but significantly lower computational latency (milliseconds vs. hours of training) and superior energy efficiency, making it an ideal solution for real-time, on-demand emergency deployment. Active Lifestyle In this article, we’ll take you through a comprehensive step-by-step guide on how to plan a weight loss plan that works for you. When you follow science-based strategies, you’re not just losing weight—you’re gaining lifelong health. Humans are social creatures, and research shows that having a support system significantly improves weight loss outcomes. Healthy weight loss is typically 0.5–1 kilogram (1–2 pounds) per week. Tell your healthcare professional about your past efforts to lose weight. Before you start a weight-loss program, talk with your healthcare professional. Focusing on adopting positive eating and exercise habits can help make weight loss more manageable and sustainable. Drugs like Wegovy (semaglutide) and Zepbound (tirzepatide) work to suppress your appetite, prompting you to consume fewer calories, which can be more effective than eating less and moving more if you have a lot of weight to lose. If you’re interested in trying the eating style, experts recommend consulting a physician to determine whether it’s right for you. “This method has benefits for some but if used improperly or for long durations of time, it can also be harmful, especially depending on your health condition.” The Atlantic diet originated in coastal regions of the Atlantic and is considered a traditional eating pattern from northwestern Spain and Portugal. In fact, the MIND diet actually “combines elements of the Mediterranean diet and the DASH diet,” Adiana Castro, M.S., R.D.N., C.L.T., founder at Compass Nutrition, explains, adding that it has a “stronger focus on brain health.” Based on data from the HRS, community‐residing individuals with dementia were more likely to have a potentially preventable hospitalization, an emergency department visit that was potentially avoidable and/or an emergency department visit that resulted in a hospitalization than community‐residing individuals without dementia.1043 For individuals residing in a nursing home, there were no differences between those with and without dementia in the likelihood of being hospitalized or having an emergency department visit. Number of hospital stays per 1,000 Medicare beneficiaries age 65 and older with specified coexisting medical conditions, with and without Alzheimer's or other dementias, 2019. However, more research is needed to understand the reasons for this health care disparity. These differences may be attributable to later‐stage diagnosis, which may lead to higher levels of disability while receiving care; delays in accessing timely primary care; lack of care coordination; duplication of services across providers; or inequities in access to care. In a study of Medicare‐Medicaid dually eligible beneficiaries diagnosed with Alzheimer's dementia, researchers found significant differences in the costs of care by race and ethnicity.1035 These results demonstrated that Blacks had significantly higher costs of care than Whites or Hispanics, primarily due to more inpatient care and more comorbidities. Although large language models (LLMs) demonstrate expert-level medical knowledge, aligning their open-ended outputs with fine-grained clinician preferences remains challenging. To further suppress flicker and improve robustness to varying sampling rates, the Masked Temporal Consistency Loss is proposed to regularize temporal prediction discrepancies across different strides, and randomize training strides to expose the model to diverse temporal gaps. We provide evidence that this performance gain arises because BDDMs correct the mismatch between the true residual noise (of the image) and the noise assumed by the schedule used in non-blind diffusion models. Secondly, ME-SSM introduces a state space model, Mamba, for feature extraction, which employs a multi-directional cross-scanning strategy to efficiently capture global contextual relationships with linear complexity. It is known that trimmed multipoint evaluation can be solved in near-linear time van der Hoeven, Schost; AAECC '13 by a clever yet somewhat involved algorithm. The results demonstrate that supplementing traditional data with satellite-derived density significantly improves estimation performance, especially for links without local sensors. To extract information from imagery data, we design a computer vision pipeline for class-specific vehicle detection and map matching, generating link-level traffic density observations by vehicle class. Unlike sparse local detectors, satellite imagery offers consistent, city-wide road and traffic information of both parking and moving vehicles, overcoming data availability limitations. Based on modern clinical research, these ingredients have proven to support the body through detoxification pathways and phases. By providing nutrients to support the body in its biological detoxification processes, the harmful toxins, chemicals, and environmental pollutants can then be eliminated from the body. A build-up of toxins, chemicals, and environmental pollutants in the body can cause adverse reactions during the natural enzymatic processes and may result in oxidative stress on the liver. Phase 2 enzymes perform conjugation reactions that move the broken-down metabolites from phase 1 through the body for excretion. The body mainly depends upon the liver for detoxification, involves several enzymatic functions, and is divided into two phases. Group varies in condition showing general to moderate signs of age and use with wear or tear, discoloration, and pencil marks. Five Central Vermont Railway tables dated 1938 to 1944 and one 1943 Chicago, Aurora & Elgin public timetable. Three Boston & Maine timetables dated 1895, August and September 1939. We instantiate OWMs within two state-of-the-art world model architectures, leading to Optimistic DreamerV3 and Optimistic STORM, which demonstrate significant improvements in sample efficiency and cumulative return compared to their baseline counterparts. We introduce Optimistic World Models (OWMs), a principled and scalable framework for optimistic exploration that brings classical reward-biased maximum likelihood estimation (RBMLE) from adaptive control into deep RL. Efficient exploration remains a central challenge in reinforcement learning (RL), particularly in sparse-reward environments. These results aim to contribute meaningfully to the development of thoughtful, forward-looking policies in medical data sharing. But, even after skull stripping, the brain parenchyma contains unique signatures that can match other MRIs from the same participants across databases, posing a privacy risk if additional data features are available. Your health, your habits, your future — connected. What’s the easiest way to start mindful eating? Results vary, but most people notice changes within 2-4 weeks of consistent practice. While multimodal large language models (MLLMs) have made substantial progress in single-image spatial reasoning, multi-image spatial reasoning, which requires integration of information from multiple viewpoints, remains challenging.Includes a 7 1/2" diameter pedestal compote bowl by Syracuse, showing general use with scratches, utensil marks, and stacking wear. A 2 3/4" tall pedestal ice cream cup by Scammell's Lamberton, showing a light scratch and ink spot on the side.Extensive experiments on multi-hop QA and complex reasoning benchmarks demonstrate that SAKE significantly mitigates KID and improves performance, offering a lightweight yet effective solution for knowledge integration in agentic LLMs.Extensive experiments across multiple neuroimaging datasets with over 25,000 subjects and 60,000 scans involving various mental disorders and brain atlases demonstrate consistent performance improvements.In 2017, the Alzheimer's Disease Facts and Figures Special Report highlighted the promise of biomarkers, stating, “… we envision a future in which Alzheimer's disease is placed in the same category as other chronic diseases, such as cardiovascular disease or diabetes, which can be readily identified with biomarkers and treated before irrevocable disability occurs.”1062 Less than a decade later, we are close to realizing that promise (see Box 2 for an update on biomarkers).Adapting billion-parameter language models to a downstream task is still costly, even with parameter-efficient fine-tuning (PEFT).Existing methods collect privacy-constrained API logs or generate scripted interactions lacking diversity, which struggle to produce data requisite for scaling capabilities.The average number of days of hospice care for individuals with a primary diagnosis of dementia was 50% higher than for individuals with other primary diagnoses, based on data from the 2008 to 2011 National Hospice Survey.1017 Individuals with a primary diagnosis of dementia use an average of 112 days of hospice care versus 74 days for individuals with other primary diagnoses. You’re much more aware of how different foods affect you and you’re WAY more in tune with your body. Because there will be a time where you feel ready. But if you DON’T currently exercise regularly, and exercise seems really overwhelming or hard right now, know that you don’t actually need to focus on it until you and your body are ready. It really just depends on you and your body, because this is your own journey. For most people this happens around month 7-9, so basically July through September-ish, but it could be sooner or later. He’s been involved in health and nutrition and fitness field for over 20 years and has written over 500 articles. Just because a diet is popular or your friends are doing it doesn't mean it's right for you. There's overlap, but most plans can be grouped into a few major types of diets. The table below lists some of the more common eating plans. Consider joining a weight loss support group or hiring a coach who can provide guidance and encouragement. They can also help you assess your body fat percentage, muscle mass, and other health indicators to get a more accurate picture of your overall health. A good starting point is to consult with a healthcare professional or a registered dietitian who can help you set a safe and achievable target. A weight loss blueprint helps you avoid common pitfalls and stay committed to your goals. The tribological behavior of the proposed description is evaluated through classical experiments and validated against the response predicted by the LuGre model, revealing both notable similarities and key differences. Furthermore, a distributed version, formulated as a hyperbolic partial differential equation (PDE), is presented, which enables the modeling of frictional processes commonly encountered in rolling contact phenomena. This model is rigorously analyzed in terms of stability and passivity -- important properties that support the synthesis of observers and controllers. However, most existing estimation and control algorithms rely on empirical correlations or machine learning approaches, which require extensive calibration and can be sensitive to variations in operating conditions. Great assortment of cachet and stamps including wartime designs. Group varies in condition showing minimal to general signs of use and minimal to moderate storage wear or tear. A few are sealed new old stock Group varies in condition showing minimal to mild signs of use and minimal to moderate storage wear or tear. Decks have all different designs including KLM Helikopters, KLM Cargo, KLM Construction, Fly the Difference, It's About Time, Warmhearted Wings, repeating logo, and more. Group varies in condition showing minimal to no signs of use and minimal to mild storage wear or tear. Use an online calorie calculator to determine your daily caloric needs based on your age, gender, weight, height, and activity level. This may seem slow, but it’s a more maintainable pace that reduces the likelihood of gaining weight back. Take a moment to reflect on what drives you to want to lose weight. In a culture that endlessly spotlights appearance, it’s easy to forget that the human body is more than a visual… The journey may not always be easy, but every step you take brings you closer to a healthier, more energetic version of yourself. It is important to consult with a healthcare professional before starting any new diet. A review published in the journal "Obesity Reviews" found that intermittent fasting led to significant weight loss compared to calorie restriction alone. Numerous studies have demonstrated that intermittent fasting can be an effective weight loss strategy. Finally, the pipeline creates user tasks by verifying solution paths, filtering via execution-based validation, and generating queries using a Persona-based Simulator for automated rollout. The pipeline builds a domain ontology and Person-Centric Entity Graph, defines tool interfaces via Service Blueprints for Model Context Protocol servers, and populates environments with consistent databases and strict Domain Policies. Existing methods collect privacy-constrained API logs or generate scripted interactions lacking diversity, which struggle to produce data requisite for scaling capabilities. Large Language Model agents demonstrate potential in solving real-world problems via tools, yet generalist intelligence is bottlenecked by scarce high-quality, long-horizon data. The following sections will reveal how to select a fitness tracker that aligns with your unique needs and the pivotal role of data analysis in elevating your weight loss journey. Insights from randomized controlled trials available on platforms like PubMed underline the significance of analyzing such data to refine weight loss strategies. With the health landscape constantly evolving, High-Intensity Interval Training (HIIT) has surged in popularity as a leading trend for efficient weight loss in 2025. This training system is what I used consistently to achieve consistent weight loss results by putting in hard effort during 2-3 workouts per week. It is a streamlined approach to fat loss, body transformation and building lean muscle using specifically developed Total Body Compound training. So here’s what I recommend for your meal schedule and focusing on eating whole foods. You want your diet to be boring but effective, which means you eat similar foods on a regular basis. I created a little framework called BBED, which stands for the Boring But Effective Diet. The more routine and structured you can make your eating habits, the better off you’ll be. Those who slept for 5.5 hours per night lost mostly muscle while those who slept 8.5 hours lost equal parts muscle and fat. Eating this way not only supports weight loss but also promotes a healthy lifestyle that’s easy to stick with long-term. This plan focuses on healthy eating and offers a balanced way to lose weight. On average, it’s safe to lose 1 to 2 pounds a week with the help of a healthy diet and consistent, physical activity. When it comes to exercise guidelines for weight loss, the idea is that you want to try and burn off more calories than you consume on a regular basis. But in truth, weight management and weight loss are more effective and efficient when you’re actively choosing healthy habits in the areas of food, fitness, mental health and physical activity. A 9 7/8" dinner plate dated 10-FF showing heavy use with utensil scratches, glaze wear, discoloration along the edge, utensil marks, and faded graphics. No chips, cracks or breaks. See photos for best description. Includes a 5 3/4" china chocolate pot with lid, dated 99-G, and an extra lid. Three 2 1/2" tall cups dated 98-L and 99-D, showing general use to one with discoloration along the edge, scratches, and stacking wear. Four railroad maps, three framed, one mounted on poster board. Three pieces of railroad dining car china for the Delaware & Hudson Railroad in the Adirondack pattern all bottom marked with the Syracuse hallmark. Seven full year wall calendars from various railroads. Research shows that if you sprint for 30 seconds, rest for 4-6 minutes, and then repeat that at least 4 times, you’ll lose more fat than if you jog or walk at a steady pace for an hour. While doing both (correctly!) can certainly help you shed pounds, there are other science-backed strategies to make your weight loss journey a little easier -- and they’re not what you might expect. But most of the time, it’s a signal from your body that there is a deficiency of some sort, a nutritional need, or an imbalance in your body and/or brain chemistry. As we move beyond 2020, it’s anticipated that medications like ozempic 5 mg and supplements like exipure may offer adjunct support to weight loss by aligning with the body’s natural circadian rhythms. Restorative sleep is a cornerstone of mental health and weight loss, an often overlooked aspect in achieving a slimmer, healthier body by 2025. This solution entails creating a dietary regime that’s as unique as the individual’s own blueprint, leading to higher adherence and more favorable weight loss outcomes. From wearable tech that monitors every step to the mental health support systems essential for sustainable progress, we’ve pinpointed the trends that will help you achieve your weight loss goals. Sometimes, even after incredible weight loss success, you might find yourself dealing with loose skin or stubborn fat pockets that just won’t budge. So now, as you enjoy the holidays or the end of your celebrations, I want you to come up with your plan for the next 12 months based on this episode. With your intuition even if that's your feelings, I don't care. You know the here's what you need to do, here's what works according to the evidence which I say all the time and anything you hear on this podcast or any other podcast. Hitting PRs is always fun because you're going to be training and growing a lot, especially during your muscle building phase. These approaches offer a structured yet flexible path to achieving long-term weight loss goals. In short, weight loss trends in 2025 favor a smarter, more personalized approach to weight loss. Clinical research and evolving tools support the weight loss industry in 2025. Each of these methods reflects a more informed and holistic approach to weight loss. The GUIDE Model is unique in that it incentivizes providers to incorporate both the person with dementia and the caregiver (or caregivers) into the collaborative, multidisciplinary service approach.Similarly, insulin resistance hinders the body’s ability to regulate blood sugar, promoting fat storage.Those who lose less weight have less robust circadian rhythms.Our findings reveal that all models exhibit notable performance degradation under occlusion, with diffusion-based models underperforming despite their stochastic nature.The other deck appears complete with the booklet of scene details, retains a bright gold edge, but shows some minor edge wear.Together, these studies show how AI and next-generation sensors can support more intelligent diagnostic systems for future healthcare.The N&W RY keys have moderate pocket wear on their hilts.Most people underestimate how stressed they are and just assume that it’s normal to feel tired, lethargic, and anxious all of the time.It’ll help you bust you through that plateau and lose those last five pounds.In short, stay far away from any supplement that claims to improve, speed up, or cause fat loss to happen. You start with why it’s important to do whatever it is you’re doing. If you’re not consistently working on and perfecting the fundamentals, no amount of time or effort spent on the advanced stuff will make a difference. I’ll take the person who can exercise 3-4 days per week consistently for a year over the person who can do a complicated 6-day workout program perfectly for a month or so at a time. A duplicate pair of pink 1963 Luncheon menus with Way of the Zephyrs Burlington Route logo at the bottom corner, one showing moderate edge wear and discoloration with tear along left side and bottom corner crease. A 1963 dinner menu (mild discoloration from age and edge wear), 1965 dinner menu, and 1966 dinner menu (light edge wear). Group varies in condition showing mild to general signs of use and age with discoloration, edge and corner wear, light creasing from handling. 1937 Super Chief single page dinner menu showing light edge wear and crease at top right corner. We present SAGE, an agentic framework that, given a user-specified embodied task (e.g., "pick up a bowl and place it on the table"), understands the intent and automatically generates simulation-ready environments at scale. However, existing scene-generation systems often rely on rule-based or task-specific pipelines, yielding artifacts and physically invalid scenes. Real-world data collection for embodied agents remains costly and unsafe, calling for scalable, realistic, and simulator-ready 3D environments. You might start with five minutes a day the first week, and then increase your time by five minutes each week until you reach at least 30 minutes.To ensure convergence under severe data heterogeneity, the architecture integrates adaptive Sharpness-Aware Minimization (FedSAM).Because it involves such strict limitations, a VLCD should always be done under medical supervision to make sure your body gets all of the nutrients that it needs during the process.It outlines your strategy broken down into doable, palatable steps tailored to your body, needs, and lifestyle.The sealife may be deadly, but it’s always fascinating to stumble on new creatures, study their habits, and follow them into the crevices as you steadily upgrade your oxygen reserve and add modules to a series of luminous white bases.Transfer Practice Sheets No. 1 through No. 5 for reading the times on the tickets.Find friends or family to work on losing weight with you so that you can support each other.To address this issue, we propose Fake-HR1, a large-scale hybrid-reasoning model that, to the best of our knowledge, is the first to adaptively determine whether reasoning is necessary based on the characteristics of the generative detection task. We therefore ask how reinforcement learning from verifiable rewards (RLVR) can best exploit a small pool of exist expert trajectories to train end-to-end policies. Moreover, the standard next-token prediction loss is rank-agnostic and inappropriate for finetuning an LLM for ranking tasks.In this paper, we first prove that the expressive capacity of ARR is strictly superior to DEs. Existing GPU-sharing techniques, including spatial and temporal sharing, aim to improve utilization but face challenges in simultaneously ensuring SLO adherence and maximizing efficiency due to the lack of fine-grained task scheduling on closed-source GPUs. Evaluated on four multivariate time-series benchmarks, SpikySpace outperforms the leading SNN in terms of accuracy by up to 3.0% while reducing energy consumption by over 96.1%. Time-series forecasting in domains like traffic management and industrial monitoring often requires real-time, energy-efficient processing on edge devices with limited resources. Items are in good to fair condition, with some mild wear and occasional tears and stains throughout. Group is in fair condition, with some mild wear, staining, and some handwriting around the dates. The logo marked sleeve box shows mild storage wear. Group has light wear and some staining, but no major rips or tears were noted. Four other sealed or unused decks, two with The White Pass and Yukon Story design as produced exclusively for Murdoch's Gem Shop in Whitehorse, Yukon Territory and two with a train through the landscape and the railroad logo. Poor sleep can slash fat loss by up to 55 percent versus adequate rest PubMed. Prioritize protein (0.7–1 g per lb of goal body weight) to protect lean tissue (3). A 500–750-calorie daily deficit usually produces 1–1.5 lbs of weekly fat loss. Current clinical guidelines—most notably the 2014 AHA/ACC/TOS recommendations—advise that a 1–2 lbs weekly weight-loss rate is generally safe for adults PubMed. However, there's a crucial element that many people are unaware of - the synergistic effect of combining multiple evidence-based strategies in the right order. - Pair of Reproduction Pennsylvania Railroad Tender Marker Lamps If you’re not giving your body enough protein when you’re younger to build a healthy amount of muscle mass, then you’re just setting yourself up for a shorter lifespan and lower quality of life as you age.In addition, a noise-aware data augmentation strategy is introduced to suppress nuisance-induced responses commonly observed in industrial environments.This is the point where you might start thinking about adding more supplements or other ways to enhance your health.Protein supports muscle repair and keeps you full, while healthy carbohydrates provide energy.Use my code wits and weights all one word, please, just to support me.At the same time, Moore's Law and Dennard Scaling are grinding to a halt, in turn, driving computing systems to larger scales and higher levels of heterogeneity and specialization, through application-specific hardware accelerators, instead of relying on technological scaling only.First (theoretical foundation), the Fused Gromov-Wasserstein (FGW) distance is adopted as the domain discrepancy for non-IID graphs, based on which, we derive an error bound on node, edge and graph-level tasks, showing that the target domain error is proportional to the length of the path. To this end, we introduce TimeAlign, a lightweight, plug-and-play framework that establishes a new representation paradigm, distinct from contrastive learning, by aligning auxiliary features via a simple reconstruction task and feeding them back into any base forecaster. Second, we introduce a novel causal representation learning (CRL) framework tailored to multimodal and multi-measurement data, providing theoretical identifiability guarantees. Each dataset includes behavioral trait assessments inferred by three high-performing large language models, alongside facial imagery and structured biographical features. Video-based AI systems are increasingly adopted in safety-critical domains such as autonomous driving and healthcare. We collect a large-scale dataset of real-world complex queries from a commercial search engine and distill the query understanding capabilities of DeepSeek-R1 into small models for practical application. A fixed-point linearization strategy, naturally inducing an iterative splitting solution, is proposed for treating the nonlinearities of the problem. We present and analyze in a unified setting two schemes for the numerical discretization of a Darcy-Forchheimer fluid flow model coupled with an advection-diffusion equation modeling the temperature distribution in the fluid. Notably, on the state-of-the-art Wan2.1 video diffusion model, ERTACache delivers 2x acceleration with minimal VBench degradation, effectively maintaining baseline fidelity while significantly improving efficiency. To address these issues, we propose ERTACache, a principled caching framework that jointly rectifies both error types. While feature caching offers a promising acceleration strategy by reusing intermediate outputs across timesteps, naive reuse often incurs noticeable quality degradation. We introduce TwinWeaver, an open-source framework that serializes longitudinal patient histories into text, enabling unified event prediction as well as forecasting with large language models, and use it to build Genie Digital Twin (GDT) on 93,054 patients across 20 cancer types. Experimental results demonstrate that the proposed framework consistently outperforms a convolutional baseline under increased temporal context and remains competitive with a strong patch-based Transformer model. Token-level self-attention is applied during representation learning to refine these embeddings, after which a Transformer encoder models inter-patch temporal dependencies to generate forecasts. A pair of 7/8" buttons and a 5/8" button marked AC&SRR Shore Fast Line and a button embossed Shore Fast Line, all showing general wear. The Shore Fast Line was an electric interurban railroad running from Atlantic City, New Jersey, to Ocean City, New Jersey, and operated from 1907 to 1948. Also included is a 1939 Play Ride promotional travel brochure with trip information, photographs, and illustrations showing some edge wear. Collection of public timetables and a promotional brochure for AC&S RR in New Jersey from the 1930s. - Trio of Railroad Cap Badges - Pullman Conductor, News Agent, Baggage Master While online adaptation offers a potential remedy, safely exploring physical limits remains a critical bottleneck due to data scarcity and safety risks. To ensure safety under these evolving uncertainties, such controllers are forced to operate with conservative safety margins, inherently constraining their agility outside of controlled settings. However, even with precise modeling, fixed policies remain susceptible to out-of-distribution scenarios, ranging from external aerodynamic disturbances to internal hardware degradation. The hat has no makers mark and shows general signs of age and use with discoloration spots across the material, mild stain marks, rim wear, and the interior shows a separated leather band and discoloration from wear. All prints are in good condition with some mild wear and tear around the edges. Twenty one large prints of Howard Fogg's railroad paintings. We propose a spatially varying coefficient model where each coefficient surface uses a tensor product B-spline basis and a Bayesian group lasso prior on the basis coefficients. Because these relationships vary with canopy structure, climate, land use, and measurement conditions, methods should both model spatially varying effects and identify where predictors matter. Numerical experiments on synthetic data and a real large-scale spatial transcriptomics dataset demonstrate that our methods consistently outperform existing stochastic variational inference approaches in terms of convergence speed and solution quality. By reformulating MFVI as a constrained finite-sum problem, we develop a novel primal-dual algorithm based on an augmented Lagrangian formulation, termed primal-dual variational inference (PD-VI). The square data tag attached to the manifold of the horn is stamped SL3LR and VAR. Assorted dining car china for railroads operating throughout the West. A small collection of butter pats for various railroads measuring between 3" and 3 3/8". We propose a framework that uses large vision models and naturalistic driving videos to analyze driver behavior, identify cognitive status and predict disease progression. We introduce scenario-based cognitive status identification in older drivers from naturalistic driving videos, leveraging large vision models. Unlike conventional pre-training approaches that rely on noisy experimental data or biased quantum mechanical simulations, CheMeleon utilizes low-noise molecular descriptors to learn rich and highly transferable molecular representations, suggesting a new avenue for foundation model pre-training. Deep learning methods have recently garnered much attention, despite their inability to outperform classical machine learning methods when tested on practical, real-world benchmarks with limited training data. To validate the effectiveness, we integrate UnifiedReward-Flex into the GRPO framework for image and video synthesis, and extensive results demonstrate its superiority. To this end, inspired by human assessment, we propose UnifiedReward-Flex, a unified personalized reward model for vision generation that couples reward modeling with flexible and context-adaptive reasoning. Nonlinear feedbacks between these drivers, spatial resource heterogeneity, and ecosystem service demand lead to emergent dynamics that are sometimes counter-intuitive and can diverge from the agent-level decision rules. But people will buy because they like the idea. So it’s not like either flexible or rigid, you know. But each week they would gradually introduce just a little bit of flexibility, over time. Popular media is full of fad diets and magic weight loss potions endorsed by celebrities and supported by personal success stories. The sensible answer to losing excess body fat is to make small healthy changes to your eating and exercise habits. The key to weight loss is building new habits that lead to eating better and moving more. PALMS operates efficiently, providing instant visualisation of results, supporting rapid, precise comparisons of various models' predictions within a single architecture and environment. Moreover, it uniquely enables the simulation of experiments involving hundreds of stimuli, as well as the computation of configural cues and configural-cue compounds across all models, thereby considerably expanding their predictive capabilities. Simulations are an indispensable step in the cycle of theory development and refinement, helping researchers formulate precise definitions, generate models, and make accurate predictions. Diffusion large language models (DLLMs) have emerged as an alternative to autoregressive (AR) decoding with appealing efficiency and modeling properties, yet their implications for agentic multi-step decision making remain underexplored. We also present VividHead, a large-scale, high-quality dataset containing 782 hours of strictly aligned footage to support robust training. A pair of unlisted early souvenir railroad playing card decks including a 1900 American Indian Souvenir deck by Lazarus & Melzer with blanket design, 52 playing cards, title card, and card descriptions. Nine Atchison, Topeka and Santa Fe Railway timetables dated 1940, 1942, 1964, 1966, and 1968. Sixteen public timetables spanning 1884 to 1973, including an 1884 Southern Kansas Railway Co. timetable with map and 17 panels, in rough condition with a set of panels appear to be missing and another mostly torn, tears, holes, and discoloration. Mixed group of used and new railroad playing card decks including twenty for Soo Line Railroad, including duplicates. The resulting dataset provides a reliable foundation for future molecule-language alignment, and the proposed annotation method is readily extensible to larger datasets and broader chemical tasks that rely on structural descriptions. A rigorous validation protocol combining LLM-based and expert human evaluation on a subset of $2,000$ molecules demonstrates a high description precision of $98.6\%$. In this work, we propose a fully automated annotation framework for generating precise molecular structure descriptions at scale. This paper introduces a framework for fairness testing in regression models, leveraging Wasserstein distance to project data distribution and focusing on expectation-based criteria. Having a sufficient quantity of quality data is a critical enabler of training effective machine learning models. This experimental design enables an analysis of how feature-stacked CNNs compare with transformer-based models under varying levels of training data and pretraining diversity. Nutritional completeness mattered just as much as weight loss results. Remember, the best way to lose weight is to do it slowly by making small, achievable changes to your eating and physical activity habits. Dietitians can guide you to a healthy way of eating that is based on the latest research and tailored to suit your health and lifestyle. If you can avoid unplanned or habitual eating, and keep to regular meals and snacks, this will help you to lose weight It’s easy to get overwhelmed by all the information available .If you want to lose weight, a good start would be to base your diet on the Australian Guide to Healthy Eating . “We define a goal weight as a weight you feel comfortable at,” says Kahan.Sleep deprivation also impairs decision-making and impulse control, making it harder to resist unhealthy foods or stick to a planned diet.Individuals with dementia often move between a nursing facility, hospital and home, rather than remaining solely in a nursing facility.People considering anti‐amyloid treatments should discuss the risks and benefits of all approved therapies and other health care considerations with their physicians to develop a tailored treatment plan.1063All of our research, data and insights covers a span of categories that are relevant for your key initiatives, from strategy, to planning and execution.Contrast this with whole, unprocessed foods like fruits and vegetables, which are lower in calories but higher in fiber, water, and nutrients.This architecture enforces intrinsic interpretability, as the decision logic is mathematically transparent and the generated weights (W) serve as exact, high-resolution feature attribution maps.This end-to-end process operationalized on Gemma-3-12B-IT results in a policy that is 58% less likely to hallucinate compared to the original model, while preserving performance on standard benchmarks. LARV adaptively suppresses shallow-layer interference and amplifies deeper-layer alignment using a simple deterministic schedule, requiring no retraining or modification to existing mergers. Part III covers selected applications and research directions, including formation control, network localization, distributed optimization, opinion dynamics, and matrix-weighted networks. Extensive experiments show that K-Sort Eval delivers evaluation results consistent with K-Sort Arena, typically requiring fewer than 90 model runs, demonstrating both its efficiency and reliability. To enhance alignment and reliability, we propose a posterior correction method, which adaptively corrects the posterior probability in Bayesian updating based on the consistency between the VLM prediction and human supervision. Excess skin removal through procedures like tummy tucks, body lifts, or arm and thigh lifts can help your outer appearance catch up with your inner change. Your skin, after all, stretched to accommodate your previous weight and may need some help adjusting to your new contours. These changes are completely normal consequences of your body adapting to its new size. Recently I purchased the fat loss blueprint course by Ari Whitten and his team, as I had put on a couple of stubborn pounds around my waist. Remember that the goal is not just to lose weight quickly—it is to develop the knowledge, skills, and habits that will support your wellbeing for years to come. Focus on making healthy choices 80% of the time and allowing flexibility for the remaining 20%. At the midpoint, it's time to fine-tune based on your progress and what's working. Choose between conservative and aggressive approaches based on your goals and health status. Before creating a 30-day diet plan for weight loss, you must understand that it’s not just about the specific foods you eat, but how they fit together to create a nutritious, balanced diet. Therefore, for fast weight loss that’s also healthy and sustainable, aim to lose fat without losing muscle. When it comes to fast weight loss, it’s important to take a healthy approach — one that promotes loss of fat, retention of muscle, and increases your likelihood of keeping the weight off. A healthy and balanced diet can help you lose weight, maintain weight loss, and improve your overall health. Food segmentation models trained on static images have achieved strong performance on benchmark datasets; however, their reliability in video settings remains poorly understood. The cost model predicts when speculative sampling and heterogeneous execution are jointly beneficial and is validated on an edge device featuring a hexacore Cortex-A CPU and a Mali GPU, revealing up to 1.68$ imes$ speedup for translation tasks, closely matching analytic expectations. In this paper, we propose a novel class of change of measure inequalities via a unified framework based on the data processing inequality for $-divergences, which is surprisingly elementary yet powerful enough to yield tighter inequalities. They had them eat these diets for several weeks and then they said, “Now every week I want you to increase your carb or your fat intake by about 15 grams until it hits a level that you think you can sustain for the duration of the study.” They’re not having a researcher breathe down their neck and say “Finish it all.” In these experiments, you see that in the very short term, low-carb diets are superior mainly because of losses in water and glycogen content. Then to back up these clinical inpatient studies, you have free-living experiments where you just assign people to different diets to see how they play out in the real world where people are in charge of how much food they eat. Yet, they show the exact same amount of fat loss. Support links Leafy greens and other non-starchy vegetables are excellent foods for fast weight loss. Let your body burn its stored fat rather than the fat you are eating. However, it’s not a good idea to eat a diet that’s low in both carbs and fat. This impressive fat loss may be partly due to the drop in insulin levels that occur during keto eating. We quantify skill- and modality-dependent differences in gaze organization and evaluate the substitutability of passive gaze for operative supervision using fixation density overlap analyses and single-frame saliency modeling.You may not realize it, but you've built them up just by moving your extra weight around.Another is to make sure you are staying very hydrated and getting plenty of electrolytes, because your body will be flushing out a lot of fluids and minerals during this time.One national poll found that 86% of dementia caregivers provided assistance for at least the past year.A10 According to another study, well over half (57%) of family caregivers of people with Alzheimer's or other dementias living in the community had provided care for four or more years.510The goal isn’t perfection—it’s consistency.The analysis was conducted for the Alzheimer's Association by Health Care Cost Institute.941 The MCBS, a continuous survey of a nationally representative sample of about 15,000 Medicare beneficiaries, is linked to Medicare claims.To support your weight-loss journey, the Mayo Clinic Diet also makes available electronic tools, such as a food and exercise journal and a weight tracker, to help you stick with the program.Science shows that having healthier options in your environment strongly influences your choices. Here’s a quick overview of a few popular diet and diet trends. By now you know that there’s not one magical diet guaranteed to melt off the pounds. In this revealing report, you will learn how various popular diets — from Atkins to The Zone, South Beach to Mediterranean — stack up for long-term results. To better understand this phenomenon, we then explore the model's reasoning process by integrating Chain-of-Thought (CoT) prompting into RAG while assessing the faithfulness of the model's CoT. This suggests that the inclusion of external context can help counteract stereotype-driven predictions, potentially improving fairness by diversifying the contextual grounding of the model's outputs. Through extensive experiments across various retrieval corpora, LLMs, and bias evaluation datasets, encompassing more than 13 different bias types, we surprisingly observe a reduction in bias in RAG. By introducing a distinction between a consensus protocol's inner log and a sanitized outer log exposed to the RSM node, Gauss allows engineers to upgrade membership, failure thresholds, and the consensus protocol itself independently and with minimal global downtime. This prevents the independent upgrade of individual building blocks and forces expensive downtime when transitioning to new protocol implementations. Now the intention wasn’t at the time when he did the research, was not for the people to overeat or whatever. So anything that signifies calories, sweet taste, fat, the texture of fat… the composition of those foods stimulate the reward centers of our brain and basically motivate us to want to eat it again or eat more. In the long run, a lot of people just, you’ll find don’t actually stay on it, on a ketogenic diet in the long run, is that accurate? So it’s not because of insulin, it’s because of still calories, so that shift is important. Behavioral studies confirm that people who engage in weight loss programs with social support are more likely to stick to them and achieve lasting results. Sustainable weight loss means building habits that last a lifetime, not chasing quick fixes. Rapid weight loss might seem appealing, but science shows it’s often unsustainable and can lead to muscle loss and nutrient deficiencies. By limiting eating to certain windows of time—such as 16 hours fasting with an 8-hour eating window—people naturally consume fewer calories without strict calorie counting.