bluuebunny/crossref_metadata_2025_split huggingface dataset:
Validating the caregiver self‐efficacy in contribution to self‐care scale Thai version for stroke: A psychometric evaluation
Authors: Suwanno Jom , Klinjun Nuntaporn , Srisomthrong Kannika , Kelly Matthew , Mayeng Marzukee , Suwanno Juk 
Published: August 2023

AbstractAimTo test the validity and reliability of the Caregiver Self‐Efficacy in Contribution to Self‐Care Scale Thai Version (CC‐Self Efficacy Scale (Thai)) for Stroke.DesignA cross‐sectional study was undertaken from September to December 2022.MethodsFour hundred thirty‐four caregivers of people with stroke were selected from the registry of stroke patients in primary care units or hospitals following inclusion criteria. The research assistants collected information when the caregiver took a patient for a doctor's appointment or visited the patient's and caregiver's home.ResultsThe 434 caregivers had a mean age of 48 years, female 77.67%, 51.97% child or grandchild of patients, and 72.85% living with the patient. Ten items of the CC‐Self Efficacy Scale (Thai) were normally distributed and appropriate for exploratory factor analysis (EFA). EFA suggested three‐factor model. The confirmatory factor analysis (CFA) of the three‐factor model was an unfit model, with the root mean square error of approximation (RMSEA) = 0.09. We regrouped items based on content to create six‐factor model. CFA supported the six‐factor model of CC‐Self Efficacy Scale (Thai) questionnaire with the reliability judged by McDonald's omega being 0.87. The 434 sample size was enough for EFA and CFA. The CC‐Self Efficacy Scale (Thai) with the six‐factor model is appropriate for evaluating the caregiver confidence of people with stroke.
Managing middle school students' disruptive behaviors during physical education classes using the color wheel system
Authors: Tounsi Olfa , Trabelsi Omar , Souissi Mohamed Abdelkader , Koubaa Abdessalem , Gharbi Adnene , Scharenberg Swantje , Mkaouer Bessem , Bahloul Mourad 
Published: August 2023

AbstractThis study investigated whether the use of the color wheel system (CWS) during physical education (PE) classes is associated with a significant decrease in disruptive behaviors among middle school students. Using a multiple‐baseline single‐case design, we investigated the effects of the CWS on disruptive behavior in nine middle school students with identified disruptive tendencies, aged 13.33 ± 1.1 years on average. Disruptive behaviors were tracked through observation using a 15‐s partial time sampling technique. The results, as indicated by time series graphs and Nonoverlap of All Pairs values ranging from 0.79 to 1.00, consistently demonstrated that the implementation of the CWS led to a reduction in disruptive behaviors across the three classrooms. The findings suggest that the CWS is an effective intervention for mitigating disruptive behaviors among school‐aged children during PE classes. However, it should be noted that the training procedures for implementing the CWS were relatively brief. To address potential limitations in future CWS implementations, it is recommended to address these shortcomings and carefully consider the implementation of the CWS as a behavioral intervention in PE.
Fluctuating selection and rapid evolution of oaks during recent climatic transitions
Authors: Caignard Thomas , Truffaut Laura , Delzon Sylvain , Dencausse Benjamin , Lecacheux Laura , Torres‐Ruiz José M. , Kremer Antoine 
Published: August 2023

Societal Impact StatementThe rapidity of evolutionary changes in trees and whether this pace is sufficient to cope with ongoing climatic change are hotly debated issues in ecology today. Climate warming began in the mid‐19th century, after the Little Ice Age (LIA). Monitoring temporal genetic changes during this climatic transition in multicentennial oak populations revealed evidence of fluctuating selection and rapid evolution. These findings suggest that rapid evolution is probably also currently underway. They may lead to management options for operational forestry aiming to stimulate evolutionary mechanisms during the renewal of oak stands and to decrease potential temporal gene flow.Summary

Retrospective studies of the evolutionary responses of tree populations to past documented climate change can provide insight into the adaptive responses of these organisms to ongoing environmental changes. We used a retrospective approach to monitor genetic changes over time in multicentennial sessile oak (Quercus petraea L.) forests.
We compared the offspring of three age‐structured cohorts (340, 170, and 60 years old, dating from about 1680, 1850, and 1960) spanning the late Little Ice Age and early Anthropocene. The experiment was repeated in three different forests in western France. The offspring were raised in a common garden experiment, with 30 to 53 open‐pollinated families per cohort.
We assessed 16 phenotypic traits in the common garden and observed significant shifts between cohorts for growth and phenology‐related traits. These shifts were correlated with differences in the prevailing temperatures in the past and could be interpreted as temporal genetic changes. However, there was no temporal trend for genetic variation. The genetic changes between the cold (late Little Ice Age) and warm (early Anthropocene) periods were mostly opposite for growth and phenology‐related traits.
These findings highlight fluctuations of selection and a rapid evolutionary response of tree populations to climatic transitions in the past, suggesting that similar trends may be at work now. We discuss these results in terms of the mode and direction of evolution, and their potential implications for the adaptive management of oak forests.
Changes in plasma alpha‐1 acid glycoprotein following hemorrhagic trauma: Possible role in dose differences of ALM drug therapy in rat and pig resuscitation
Authors: Letson Hayley L. , Morris Jodie L. , Dobson Geoffrey P. 
Published: August 2023

AbstractIntroductionThe binding of drugs to plasma proteins is an important consideration in drug development. We have reported that the dose of adenosine, lidocaine, and magnesium (ALM) fluid therapy for resuscitation from hemorrhagic shock is nearly 3‐times higher for pigs than rats. Since lidocaine strongly binds to serum alpha‐1‐acid glycoprotein (AGP), the aim of the study was to investigate the effect of hemorrhagic shock on levels of AGP in rats and pigs.Materials and MethodsHealthy adult male Sprague–Dawley rats and female crossbred pigs (n = 33 each) underwent tail vein and peripheral ear vein blood sampling, respectively, to collect plasma for AGP measurements. Rats (n = 17) and pigs (n = 16) underwent surgical instrumentation and uncontrolled hemorrhage via liver resection, and were treated with 3% NaCl ± ALM IV bolus followed 60 min later by 4 h 0.9% NaCl ± ALM IV drip. Rats were monitored for 72 h with blood samples taken post‐surgery, and at 5.25, 24, and 72 h. Pigs were monitored for 6 h with blood samples taken post‐surgery, and at 60 min and 6 h. Plasma AGP was measured with rat‐ and pig‐specific enzyme‐linked immunosorbent assay kits.ResultsBaseline AGP levels in rats were 3.91 μg/mL and significantly 83‐fold lower than in pigs (325 μg/mL). Surgical instrumentation was associated with ~10‐fold increases in AGP in rats and a 21% fall in pigs. AGP levels remained elevated in rats after hemorrhage and resuscitation (28–29 μg/mL). In contrast, no significant differences in plasma AGP were found in ALM‐ or Saline‐treated pigs over the monitoring period.ConclusionsWe conclude that the trauma of surgery alone was associated with significant increases in AGP in rats, compared to a contrasting decrease in pigs. Higher levels of plasma AGP in pigs prior to hemorrhagic shock is consistent with the higher ALM doses required to resuscitate pigs compared with rats.
Distributed robust‐multivariate‐observer‐based FDI attacks estimation for nonlinear multi‐agent systems with directed graphs
Authors: Dong Lewei , Xu Huiling , Park Ju H. , Li Zhengcai 
Published: August 2023

AbstractThis article investigates the distributed robust estimation problem for false data injection (FDI) attacks in nonlinear multi‐agent systems with directed graphs. To approximate the realistic attack scenario, the case where both the actuator network channel and sensor network channel suffering from FDIs are considered, and the attack signals contain time‐varying circumstances. A novel distributed robust‐multivariate‐observer (DRMO) strategy is developed such that the online estimation of FDI attack dynamics can be realized with the partially unknown nonlinear dynamics, attack transient increments, and disturbances impact being eliminated. The designed DRMO scheme only depends on the received compromised/uncompromised measurement output information on the account that whole state information cannot be measured directly. Finally, two simulation examples, including a network of four one‐link flexible joint manipulator systems with comparisons to existing methods, are given to show the effectiveness of the proposed scheme.
Parameter and order estimation algorithms and convergence analysis for lithium‐ion batteries
Authors: Hu Chong , Liu Haibo , Ji Yan 
Published: August 2023

AbstractThe fractional‐order equivalent circuit model can reflect the internal reaction mechanism of a lithium‐ion battery well. This article aims to design an effective model and optimization method to describe and analyze the operating characteristics of the lithium‐ion battery based on online measurement data. The fractional‐order controlled autoregressive model is derived by exploiting the memory superiorities of the fractional‐order, which comprises the electrochemical impedance spectroscopy and the ‐RC equivalent circuit model as the special cases. The utilization of polynomial properties reduces the difficulty of identification while preserving the ability of the controlled autoregressive model to fit the characteristics of the battery. To realize simultaneous parameter and the order estimation, a weighted gradient descent algorithm is proposed. The approach designs a new gradient direction and fully utilizes the data from the lithium‐ion battery by adding a suitable weighted factor. In addition, the forgetting factor is introduced to speed up convergence and produce more accurate parameter estimation. Furthermore, in order to analyze the convergence of the proposed algorithms, the convergence properties are proved by using martingale convergence theory and stochastic principle. Finally, the experimental simulation result shows the performance of the proposed algorithms.
Cooperative robust output regulation of linear uncertain multi‐agent systems: A dynamic event‐triggered approach
Authors: Wu Jieshuai , Lu Maobin , Deng Fang , Chen Jie 
Published: August 2023

AbstractIn the article, the cooperative robust output regulation problem of multi‐agent systems with general linear uncertain dynamics is investigated by event‐triggered control. Recently, the similar problem is solved practically by a distributed event‐triggered control law where the tracking error of the system tends to some small neighborhood of the origin asymptotically. In comparison, we develop a distributed event‐triggered output feedback control law together with a class of dynamic event‐triggered mechanisms to solve this problem exactly. In particular, we first design a class of dynamic event‐triggered mechanisms. Then, based on the internal model principle, we propose a distributed event‐triggered output feedback control law. By rigorous proofs, we show that under the proposed distributed control law together with the dynamic event‐triggered mechanism, the cooperative robust output regulation problem is solved exactly, which means that the tracking errors of all followers converge to zero asymptotically while prohibiting the Zeno behavior. Finally, we use an example to illustrate our control approach.
Influence of bed surface structure on bedload transport in mountain rivers
Authors: Liu Xingnian , Cao Hui , Wu Weiming , Luo Ming , Wang Lu , Liu Chao 
Published: August 2023

AbstractMountain rivers are characterized by wide grain size distributions and complex bed surface structures, which significantly affect bedload transport. Owing to the lack of a clear understanding of the quantitative influence of the bed surface structure on the bedload transport rate, existing methods for estimating the bedload transport rate in mountain rivers produce large errors. Based on theoretical analysis and flume experiments, this study reveals the influence of bed surface structure on nonuniform bedload transport and proposes a method for estimating bedload transport rate considering the quantitative influence of bed surface structure. The findings of the present study provide theoretical methodological support for predicting the sediment transport and bed evolution in mountain rivers.
Rating systems and increased heterogeneity in firm performance: Evidence from the New York City Restaurant Industry, 1994–2013
Authors: Greenberg Jason , Sands Daniel B. , Cattani Gino , Porac Joseph 
Published: August 2023

AbstractResearch SummaryWe investigate the extent to which the increasing availability of ratings information has affected heterogeneity in firm performance and, if so, what market segments are responsible for these changes. A unique dataset was constructed with restricted‐access government data to examine these questions in the context of the New York City restaurant industry between 1994 and 2013. We find that firms serving tourist and expensive price point market segments experienced increasing sales discrepancies as a function of rating differentials when ratings information became more easily accessible with the advent of online rating platforms. These findings depict how the prevalence of online rating systems have shaped competition and value capture, thus providing insight into the determinants of firm performance heterogeneity.Managerial SummaryWe examine the extent to which increasing availability of ratings information has affected firm performance by estimating changes in comparative sales between New York City restaurants between 1994 and 2013. Analyses indicate that increased access to ratings information during this period had a considerable effect on comparative sales for firms serving the tourist and the expensive price point market segments. These results provide insights into other industries where access to evaluations and rating systems have also increased. This work suggests that online ratings have affected how firms compete and capture value, and managers have opportunities to use rating systems to their advantage.
Uncovering the Redox Shuttle Degradation Mechanism of Ether Electrolytes in Sodium‐Ion Batteries and its Inhibition Strategy
Authors: Yi Xiaoli , Li Xinhai , Zhong Jing , Wang Zhixing , Guo Huajun , Peng Wenjie , Duan Jianguo , Wang Ding , Wang Jiexi , Yan Guochun 
Published: August 2023

AbstractEther‐based electrolytes exhibit excellent performance when applied in different anode materials of sodium ion batteries (SIBs), but their exploration on cathode material is deficient and the degradation mechanism is still undiscovered. Herein, various battery systems with different operation voltage ranges are designed to explore the electrochemical performance of ether electrolyte. It is found for the first time that the deterioration mechanism of ether electrolyte is closely related to the “redox shuttle” between cathode and low‐potential anode. The “shuttle” is discovered to occur when the potential of anodes is below 0.57 V, and the gas products coming from “shuttle” intermediates are revealed by differential electrochemical mass spectrometry (DEMS). Moreover, effective inhibition strategies by protecting low‐potential anodes are proposed and verified; ethylene carbonate (EC) is found to be very effective as an additive by forming an inorganics‐rich solid electrolyte interphase (SEI) on low‐potential anodes, thereby suppressing the deterioration of ether electrolytes. This work reveals the failure mechanism of ether‐based electrolytes applied in SIBs and proposes effective strategies to suppress the “shuttle,” which provides a valuable guidance for advancing the application of ether‐based electrolytes in SIBs.
Recent Progress in Hot Spot Regulated Strategies for Catalysts Applied in Li–CO2 Batteries
Authors: Xiao Ying , Hu Shilin , Miao Yue , Gong Fenglian , Chen Jun , Wu Mingxuan , Liu Wei , Chen Shimou 
Published: August 2023

AbstractAs a high energy density power system, lithium–carbon dioxide (Li–CO2) batteries play an important role in addressing the fossil fuel crisis issues and alleviating the greenhouse effect. However, the sluggish transformation kinetic of CO2 and the difficult decomposition of discharge products impede the achievement of large capacity, small overpotential, and long life span of the batteries, which require exploring efficient catalysts to resolve these problems. In this review, the main focus is on the hot spot regulation strategies of the catalysts, which include the modulation of the active sites, the designing of microstructure, and the construction of composition. The recent progress of promising catalysis with hot spot regulated strategies is systematically addressed. Critical challenges are also presented and perspectives to provide useful guidance for the rational design of highly efficient catalysts for practical advanced Li–CO2 batteries are proposed.
Contributing to the Revolution of Electrolyte Systems via In Situ Polymerization at Different Scales: A Review
Authors: Zhang Bo‐Han , Wu Yu , Hou Yun‐Lei , Chen Jing‐Zhou , Ma Zhuang , Zhao Dong‐Lin 
Published: August 2023

AbstractSolid‐state batteries have become the most anticipated option for compatibility with high‐energy density and safety. In situ polymerization, a novel strategy for the construction of solid‐state systems, has extended its application from solid polymer electrolyte systems to other solid‐state systems. This review summarizes the application of in situ polymerization strategies in solid‐state batteries, which covers the construction of polymer, the formation of the electrolyte system, and the design of the full cell. For the polymer skeleton, multiple components and structures are being chosen. In the construction of solid polymer electrolyte systems, the choice of initiator for in situ polymerization is the focus of this review. New initiators, represented by lithium salts and additives, are the preferred choice because of their ability to play more diverse roles, while the coordination with other components can also improve the electrical properties of the system and introduce functionalities. In the construction of entire solid‐state battery systems, the application of in situ polymerization to structure construction, interface construction, and the use of separators with multiplex functions has brought more possibilities for the development of various solid‐state systems and even the perpetuation of liquid electrolytes.
Crystalline Porous Material‐Based Nanogenerators: Recent Progress, Applications, Challenges, and Opportunities
Authors: Rajaboina Rakesh Kumar , Khanapuram Uday Kumar , Vivekananthan Venkateswaran , Khandelwal Gaurav , Potu Supraja , Babu Anjaly , Madathil Navaneeth , Velpula Mahesh , Kodali Prakash 
Published: August 2023

AbstractNanogenerator (NG) is a potential technology that allows to build self‐powered systems, sensors, flexible and portable electronics in the current Internet of Things (IoT) generation. Nanogenerators include piezoelectric nanogenerators (PENGs) and triboelectric nanogenerators (TENGs), convert different forms of mechanical motion into useful electrical signals. They have evolved and expanded their applications in various fields since their discovery in 2006 and 2012. Material selection is crucial for designing efficient NGs, with high conversion efficiencies. In the recent past, crystalline porous mat erials (metal‐organic frameworks (MOFs) and covalent organic frameworks (COFs)) have been widely reported as potential candidates for nanogenerators, owing to their special properties of large surface area, porosity tailoring, ease of surface, post‐synthesis modification, and chemical stability. The present organized review provides a complete overview of all the crystalline porous materials (CPMs)‐based nanogenerator devices reported in the literature, including synthesis, characterization, device fabrication, and potential applications. Additionally, this review article discusses current challenges, future directions, and perspectives in the field of CPMs‐NGs.
Dystonic head tremor in paroxysmal dyskinesia in 17 dogs (2021–2023)
Authors: Liatis Theofanis , De Decker Steven 
Published: August 2023

AbstractBackgroundDystonia is a common component of the movement disorder paroxysmal dyskinesia (PD) in dogs. However, the incidence of dystonic head tremor (DHT) in these dogs has not previously been evaluated.MethodsThe medical records of dogs presenting with PD between 2021 and 2023 were retrospectively reviewed, and those with available video footage and the presence of a head tremor were selected for further analysis.ResultsSeventeen of the 39 (43.6%) dogs diagnosed with PD that had video footage available manifested DHT. Poodle or Poodle‐cross was the most commonly affected breed (7/17). DHTs were described as fine irregular head tremors accompanied by cervical dystonia (17/17), truncal (11/17) or head (10/17) sway, shifting limb (10/17) or single limb (6/17) dystonia, freezing (8/17), ataxia (6/17), ptyalism (5/17), falling (5/17), kyphosis (4/17) and prayer posture (4/17). Neurological examination and advanced imaging, when available, were within normal limits.LimitationsThe limitations of the study include its retrospective nature, the lack of video recordings for all PD patients and the lack of electrophysiological evaluation of tremors and electroencephalography.ConclusionsDHT exists in dogs with PD; it has characteristic features, and it should be considered in differential diagnoses for dogs with head tremors.
Bayesian estimation methods for survey data with potential applications to health disparities research
Authors: Wu Stephanie M. , Stephenson Briana Joy K. 
Published: August 2023

AbstractUnderstanding how and why certain communities bear a disproportionate burden of disease is challenging due to the scarcity of data on these communities. Surveys provide a useful avenue for accessing hard‐to‐reach populations, as many surveys specifically oversample understudied and vulnerable populations. When survey data is used for analysis, it is important to account for the complex survey design that gave rise to the data, to avoid biased conclusions. The field of Bayesian survey statistics aims to account for such survey design while leveraging the advantages of Bayesian models, which can flexibly handle sparsity through borrowing of information and provide a coherent inferential framework to easily obtain variances for complex models and data types. For these reasons, Bayesian survey methods seem uniquely well‐poised for health disparities research, where heterogeneity and sparsity are frequent considerations. This review discusses three main approaches found in the Bayesian survey methodology literature: (1) multilevel regression and post‐stratification, (2) weighted pseudolikelihood‐based methods, and (3) synthetic population generation. We discuss the advantages and disadvantages of each approach, examine recent applications and extensions, and consider how these approaches may be leveraged to improve research in population health equity.This article is categorized under:
Applications of Computational Statistics > Clinical Trials
Statistical and Graphical Methods of Data Analysis > Bayesian Methods and Theory
Applications of Computational Statistics > Health and Medical Data/Informatics
Statistical and Graphical Methods of Data Analysis > Sampling