The table shows the magnitude and direction of shift for optimal temperature when we assume that the corresponding parameter is constant.

Table of Results.

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SACL. Phase shift analysis of K+ P elastic scattering at 780 MeV/c. Tables 2 and 3 with the data about phase shifts are not encoded.

Percent Change in Medicare Payments displays how hospitals' Medicare payments changed as a result of the Hospital VBP Program in percentage terms.

No description is available. Visit https://dataone.org/datasets/e6840e9623d4bff7a527d56f3bce9a0b for complete metadata about this dataset.

Table of INEBase Employees by shift system, sex and Autonomous Community. Percentages with respect to the total of each Autonomous Community. Annual. Autonomous Communities and Cities. Economically Active Population Survey

As the climate continues to change, species are moving to track their historical niches. Although we are gaining a clearer picture of where and how quickly species ranges are moving, a mechanistic understanding of these changes is still nascent. Evolutionary changes in ranges and range-limiting traits over contemporary timescales has received relatively little attention, possibly due to the mismatch in scale between rapid contemporary range shifts and the historical evolution of species ranges over millions of years. But recent experimental work has shown that range-limiting traits can evolve rapidly over decadal timescales, effectively putting evolution back on the table towards the goal of a mechanistic understanding of contemporary range shifts. Here I review the role of evolution in shaping range shift responses to recent climate change from the perspective of the past (shared evolutionary history, or phylogenetic signal in range shifts and range-limiting traits), present (variation...

Net Change in Base Operating DRG Payment Amount shows number of hospitals for specified ranges of value-based incentive payment amounts after subtracting the amount by which their Medicare payments per discharge were reduced.

Find herein simulation scripts for generating the three tables in our manuscript. Each script corresponds to a particular table (Table 1, Table 2, and Table 3). The Table 1 script is used to demonstrate the close adherence between the logit shift and the exact Poisson-Binomial posterior update. We consider two different sample sizes (n = 100 and n = 1000) and six data-generating distributions for a set of initial Democratic support scores. We assume that the true number of Democratic votes is 20% lower than predicted, and compute updated scores via both the logit shift and the exact Poisson-Binomial posterior probabilities. We show that the two sets of updated scores are virtually identical under several metrics. The Table 2 script demonstrates one of the drawbacks of the logit shift: namely, that it can skew the scores for minority groups within each precinct. We consider two racial groups for simplicity, and consider precincts whose proportions of White and Black voters are 70%-30%, 80%-20%, and 90%-10%. We suppose the Democratic support scores are overestimated by 10 percentage points for White voters and underestimated by 10 percentage points for Black voters. We consider the same six data-generating distributions for the initial support scores. We report relative shifts in correlation between the true scores and the initial scores vs. between the true scores and the logit shifted scores. In the simulations the logit shift improves score accuracy in aggregate and for White voters, but it produces worse scores for Black voters because they comprise a minority within the precinct. The Table 3 script demonstrates another drawback of the logit shift: it cannot correct for an incorrect shape of the initial score distributions, but only for an incorrect mean. We consider every possible pairing of our six data-generating distributions. For each pair, we sample 1,000 voters such that the true support probabilities follow the first distribution, and the initial support scores follow the second distribution, but the rank of each unit is identical within each of the two distributions. We again report relative shifts in correlation between the true scores and the initial scores vs. between the true scores and the logit shifted scores. If both the true support probability distribution and the initial score distribution have the same mean, the correlation shifts are essentially zero, while they are much more positive if the means differ.

ObjectiveTo examine the predictive, moderating, and combined effects of circadian rhythm types and shift work demands on sleep quality and depressive symptoms among shift-working nurses.MethodsA cross-sectional study was conducted between May 1, 2024, and May 31, 2025. Shift-working nurses were recruited using convenience sampling at a tertiary hospital in Guangxi, China. Circadian rhythm types, sleep quality and depressive symptoms were assessed using the Circadian Type Inventory [CTI; including flexibility–rigidity (FR) and languidness–vigorousness (LV)], the Pittsburgh Sleep Quality Index (PSQI) and the Patient Health Questionnaire-9 (PHQ-9). Objective data on shift work demands over a four-week period were extracted from the hospital nursing management system, including number of night shifts, total shift hours, and shift workload exposure. Generalized linear modeling (GLM), nonlinear curve fitting, and Monte Carlo simulation were used for data analysis.ResultsA total of 288 shift nurses were included. The GLMs showed that depressive symptoms (β = 0.245), languidness (β = 0.065), shift work hours (β = 0.093), and body mass index (β = −0.056) were significant predictors of poorer sleep quality. Poorer sleep quality (β = 0.314), flexibility (β = −0.129), languidness (β = 0.159), and the interaction between sleep quality and flexibility (β = 0.091), between languidness and shift work hours (β = 0.069) significantly predicted depressive symptoms. Nonlinear analysis identified a potential threshold effect, with more than 24 shift work hours in 4 weeks linked to poorer sleep quality. Dynamic simulations demonstrated that the combined effects of circadian rhythm types and shift work demands corresponded to distinct dose–response patterns in sleep quality and depressive symptoms.ConclusionCircadian rhythm types and shift work demands jointly shape sleep quality and depressive symptoms in shift nurses, with distinct dose–response patterns. These findings highlight the importance of circadian-informed shift scheduling to improve sleep and mental health among shift nurses.

Folding Wine Picnic Table Market Outlook

As per our latest research, the global folding wine picnic table market size was valued at USD 412.7 million in 2024, reflecting robust consumer interest and evolving outdoor leisure trends. The market is expected to grow at a CAGR of 7.2% from 2025 to 2033, reaching a forecasted value of USD 763.5 million by 2033. This growth is primarily propelled by the rising popularity of outdoor recreational activities, increased disposable incomes, and a growing focus on lifestyle-oriented products that enhance convenience and social experiences.

One of the primary growth drivers for the folding wine picnic table market is the significant shift in consumer preferences toward outdoor leisure and entertainment. People are increasingly seeking unique and comfortable experiences during picnics, camping, and outdoor gatherings, which has directly influenced the demand for portable and easy-to-use accessories. The convenience of folding wine picnic tables, which can securely hold wine glasses, bottles, and snacks, makes them an attractive addition to outdoor events. Additionally, the rise in wine culture, especially among millennials and young adults, has further fueled the demand for specialized picnic furniture that complements their lifestyle choices. The integration of ergonomic designs and aesthetic appeal is also playing a crucial role in attracting a broader customer base.

Another critical factor contributing to market growth is the innovation in product materials and structures. Manufacturers are focusing on developing lightweight yet durable folding wine picnic tables using materials like bamboo, engineered wood, and high-grade plastics. These advancements not only enhance portability but also ensure longevity and resistance to outdoor conditions. The introduction of multi-functional tables that offer additional features, such as integrated coolers, storage compartments, and adjustable heights, is expanding the marketÂ’s appeal. The trend toward sustainable and eco-friendly materials is also gaining traction, with consumers showing a preference for products that align with their environmental values. This shift is prompting manufacturers to adopt greener production processes and materials, thereby boosting market expansion.

The proliferation of e-commerce and online retail platforms has significantly impacted the folding wine picnic table market. Online channels provide consumers with a wide variety of options, detailed product information, and the convenience of home delivery, which has accelerated market penetration, especially in urban areas. Social media and influencer marketing are also playing a vital role in shaping consumer perceptions and driving sales. The ability to compare prices, read reviews, and access promotional offers has empowered consumers, leading to increased online purchases. Moreover, the COVID-19 pandemic has further accelerated the shift toward online shopping, with many consumers opting for home-based leisure activities and outdoor gatherings in controlled environments, thereby driving demand for folding wine picnic tables.

Regionally, North America and Europe are the dominant markets, driven by a strong culture of outdoor leisure, high disposable incomes, and a growing appreciation for wine and gourmet experiences. The Asia Pacific region is emerging as a high-growth market, fueled by increasing urbanization, rising middle-class populations, and expanding tourism and hospitality sectors. Latin America and the Middle East & Africa are also witnessing steady growth, supported by improving economic conditions and a growing trend of outdoor socializing. The diverse regional dynamics present both opportunities and challenges for market players, necessitating tailored strategies to capture market share effectively.

In the realm of outdoor leisure, the Foldable Ping-Pong Table is gaining traction as a versatile addition to both recreational and social gatherings. These tables are designed to offer the ultimate convenience, allowing users to easily transport and set them up in various outdoor settings. The foldable nature of these tables makes them ideal for picnics, camping trips, and backyard parties, where space and portability are crucial. With the rising trend of outdoor activities and the desire for engaging entertainment options, foldable ping-pong tables are becoming a popular choice fo

IntroductionShift workers are at a greater risk for obesity-related conditions. The impacts of working at night presents a challenge for designing effective dietary weight-loss interventions for this population group. The Shifting Weight using Intermittent Fasting in night-shift workers (SWIFt) study is a world-first, randomized controlled trial that compares three weight-loss interventions. While the trial will evaluate the effectiveness of weight-loss outcomes, this mixed-methods evaluation aims to explore for who weight-loss outcomes are achieved and what factors (intervention features, individual, social, organisational and wider environmental) contribute to this.MethodsA convergent, mixed-methods evaluation design was chosen where quantitative and qualitative data collection occurs concurrently, analyzed separately, and converged in a final synthesis. Quantitative measures include participant engagement assessed via: dietary consult attendance, fulfillment of dietary goals, dietary energy intake, adherence to self-monitoring, and rates for participant drop-out; analyzed for frequency and proportions. Regression models will determine associations between engagement measures, participant characteristics (sex, age, ethnicity, occupation, shift type, night-shifts per week, years in night shift), intervention group, and weight change. Qualitative measures include semi-structured interviews with participants at baseline, 24-weeks, and 18-months, and fortnightly audio-diaries during the 24-week intervention. Interviews/diaries will be transcribed verbatim and analyzed using five-step thematic framework analysis in NVivo. Results from the quantitative and qualitative data will be integrated via table and narrative form to interrogate the validity of conclusions.DiscussionThe SWIFt study is a world-first trial that compares the effectiveness of three weight-loss interventions for night shift workers. This mixed-methods evaluation aims to further explore the effectiveness of the interventions. The evaluation will determine for who the SWIFt interventions work best for, what intervention features are important, and what external factors need to be addressed to strengthen an approach. The findings will be useful for tailoring future scalability of dietary weight-loss interventions for night-shift workers.Clinical trial registration: This evaluation is based on the SWIFt trial registered with the Australian New Zealand Clinical Trials Registry [ACTRN 12619001035112].

Provide statistical tables of the number of registered companies in various industries in this city for public reference and use.

Corner Experiment Table Market Outlook

The global corner experiment table market size was valued at approximately USD 1.2 billion in 2023 and is projected to reach USD 1.8 billion by 2032, growing at a CAGR of 4.6% during the forecast period. This substantial growth is driven by the increasing emphasis on research and development activities worldwide, coupled with the expansion of educational infrastructure. The rise in demand for flexible and multifunctional furniture in laboratories and educational institutions is a key growth factor. With technology integrating into educational strategies and research methodologies, the demand for adaptive furniture solutions like corner experiment tables is becoming increasingly significant.

The growth of the corner experiment table market is closely linked to the educational sector's evolution, where a shift towards collaborative and active learning environments is evident. Schools and universities are moving away from traditional classroom settings to more dynamic and versatile spaces that promote group work and hands-on activities. This transformation necessitates the use of furniture that can adapt to various teaching methodologies and room configurations, thereby driving the demand for corner experiment tables. Additionally, the rapid increase in STEM (Science, Technology, Engineering, and Mathematics) education is propelling the need for specialized furniture that supports experimental learning and practical demonstrations, further fueling market growth.

In laboratories and research facilities, the demand for corner experiment tables is driven by the need for ergonomic, durable, and highly functional furniture that can support complex experiments and research activities. As research institutions continue to expand, particularly in fields like biotechnology, pharmaceuticals, and materials science, the requirements for sophisticated and adaptable workspace solutions are increasing. Corner experiment tables offer the necessary flexibility and utility, making them an essential component in these environments. The ongoing advancements in material sciences have also led to the development of tables that are resistant to chemicals and physical wear, enhancing their appeal in laboratory settings.

The rise of digitalization and e-commerce platforms has revolutionized the distribution channels for corner experiment tables. Online retailing allows manufacturers to reach a broader audience, providing detailed product descriptions and specifications that facilitate informed purchasing decisions. This trend complements the ongoing shift towards remote learning and virtual laboratories, where institutions are increasingly seeking customizable and easily accessible furniture solutions. Furthermore, the growth of hybrid and remote working models has prompted educational and research institutions to reevaluate their spatial needs, creating opportunities for innovative furniture solutions that can efficiently utilize available space, thereby driving demand for corner experiment tables.

Regionally, the market outlook varies significantly, with North America and Europe leading due to their well-established educational and research infrastructures. However, the Asia Pacific region is witnessing the fastest growth, driven by rapid urbanization, expanding educational facilities, and increased government investments in education and research. The growing emphasis on educational reform and increased participation in higher education in countries like China and India are key factors contributing to this regional surge. Meanwhile, the Middle East & Africa and Latin America are also emerging as potential markets, with increasing investments in educational sectors and a gradual shift towards modernized research facilities.

Material Analysis

The choice of material significantly impacts the functionality, aesthetics, and cost of corner experiment tables, making material analysis crucial in understanding market dynamics. Wood remains a popular choice due to its durability and classic appeal. Wooden experiment tables are favored for their robustness and ability to support heavy loads, making them ideal for laboratory settings where stability is paramount. Furthermore, wood's natural appearance is aesthetically pleasing, which suits environments aiming for a warm and inviting atmosphere. However, wooden tables require regular maintenance and can be susceptible to damage from chemicals, which is a consideration for laboratories dealing with hazardous substances.

Metal, particularly steel and aluminum, is widely used in corner experiment table

Raster showing change in water-table altitude between Fall of 2002 and Fall of 2008 in the alluvium in the Lower Arkansas River Valley, Southeast Colorado. Hereafter "fall" is defined as June 1 to November 30. All interpolation and geoprocessing was done using ArcGIS Desktop v10 (Environmental Systems Research Institute, 2011).

Raster showing change in water-table altitude between Spring of 2002 and Spring of 2015 in the alluvium in the Lower Arkansas River Valley, Southeast Colorado. Hereafter "spring" is defined as the periods of January 1 to May 31, and December 1 to December 31. All interpolation and geoprocessing was done using ArcGIS Desktop v10 (Environmental Systems Research Institute, 2011).

IntroductionInsomnia in shift workers has distinctive features due to circadian rhythm disruption caused by reversed or unstable sleep-wake cycle work schedules. While previous studies have primarily focused on a limited number of predictors for insomnia severity in shift workers, there is a need to further explore key predictors, and develop a data-driven prediction model for insomnia in shift workers. This study aims to identify potential predictors of insomnia severity in shift workers using a machine learning (ML) approach and evaluate the accuracy of the resulting prediction model.MethodsWe assessed the predictors of insomnia severity in large samples of individuals (4,572 shift workers and 2,093 non-shift workers). The general linear model with the least absolute shrinkage and selection operator (LASSO) was used to determine an ML-based prediction model. Additional analyses were conducted to assess the interaction effects depending on the shift work schedule.ResultsThe ML algorithms identified 41 key predictors from 281 variables: 1 demographic, 7 physical health, 13 job characteristics, and 20 mental health factors. Compared to the non-shift workers, the shift workers showed a stronger association between insomnia severity and five predicting variables: passiveness at work, authoritarian work atmosphere, easiness to wake up, family and interpersonal stress, and medication. The prediction model demonstrated good performance with high accuracy and specificity overall despite a limited F1 score (classification effectiveness) and recall (sensitivity). Specifically, a prediction model for shift workers showed better balance in F1 scores and recall compared to that for non-shift workers.DiscussionThis ML algorithm provides an effective method for identifying key factors that predict insomnia severity in shift workers. Our findings align with the traditional insomnia model while also reflecting the distinctive features of shift work such as workplace conditions. Although the potential for immediate clinical application is limited, this study can serve as guidance for future research in improving a prediction model for shift workers. Constructing comprehensive ML-based prediction models that include our key predictors could be a crucial approach for clinical purposes.

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BackgroundTo investigate the effect of basic intermittent exotropia (IXT) on myopic shift in children during 12-month follow-up.Methods165 children aged 4–15 years were recruited prospectively in this study and divided into 3 groups: Group A, consisted of 64 patients with basic IXT without surgery; Group B, consisted of 51 patients 1-month after IXT-corrected surgery; and Group C, consisted of 50 patients without any form of strabismus. All patients underwent assessments of spherical equivalent (SE), axial length (AL), exodeviation, and binocular function relating to accommodation and convergence. Examinations were conducted at baseline and 12-month. SE and AL changes were compared among groups. Univariate and multivariate linear analyses were employed to investigate the association between myopic shift and IXT, as well as other clinical parameters.ResultsThree groups showed comparable ages, genders and SEs at baseline (all P > .05). During 12-month follow-up, the rate of myopic shift varied among groups. Significant differences in SE progression (P = .006) and AL elongation (P = .014) between Group A and Group C were observed. Although SE progression and AL elongation in Group B were less than Group A, no significant differences were found (P = .125; P = .038). In the multivariate analysis, increases in exodeviation angle were significantly associated with both SE progression (β = 0.010, P = .041) and AL elongation (β = −0.005, P = .026). Each one prism diopter increase in the exodeviation angle was correlated with a 0.01D SE progression and a 0.005 mm AL elongation.ConclusionsChildren with basic IXT exhibited faster myopia shift compared to those without strabismus. Although surgical correction of strabismus appeared to slow this process, the effect was not statistically significant. Furthermore, greater increase in exodeviation angle was associated with higher rate of SE progression and AL elongation. Trial registrationThe study was approved by the Ethics Committee of Beijing TongRen Hospital (approved number: TRECKY2020-142, approved date: 2020.10.30).