bluuebunny/crossref_metadata_2025_split huggingface dataset:
Identifying key characteristics of developed artificial intelligence algorithms to achieve meaningful impact on Canadian healthcare: a scoping review protocol
Authors: Coulibaly Daouda , Bayani Azadeh , Sylla Bry , Motulsky Aude , Nikiema Jean Noël , Bosson-Rieutort Delphine 
Published: February 2025

IntroductionEmpirical data on the barriers limiting artificial intelligence (AI)’s impact on healthcare are scarce, particularly within the Canadian context. This study aims to address this gap by conducting a scoping review to identify and evaluate AI algorithms developed by researchers affiliated with Canadian institutions for patient triage, diagnosis and care management. The goal is to identify characteristics in the developed AI algorithms that can be leveraged for a better impact.Methods and analysisA scoping review will be conducted following the JBI Methodology for Scoping Reviews and reported following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews guidelines. Relevant literature will be identified through comprehensive searches of MEDLINE (PubMed), CINAHL (EBSCO) and Web of Science (Clarivate) databases, combining keywords related to AI, clinical management and the Canadian context. Studies published after 2014, in English or French, that discuss AI algorithms developed for patient triage, diagnosis or care management by researchers affiliated with Canadian institutions will be included. Data from the selected articles will be extracted and analysed descriptively, and findings will be presented in tabular form accompanied by a narrative summary.Ethics and disseminationEthical approval is not required for this study as it involves the review of publicly available literature. The scoping review is expected to be completed by November 2025. The findings will be disseminated through publications in peer-reviewed journals and presentations at conferences focused on AI and healthcare practice.
Efficacy and safety of the blood-based cardioplegia solution Huaxi-1 in cardiopulmonary bypass surgery: protocol for a multicentre randomised controlled trial
Authors: Yan Wei , Wang Chunle , Gao Xue , Wen Zhiqiang , Zou Tingfang , Wu Yingyuan , Zhang Li , Yu Fumin , Jin Zhenxiao , Wang Liwei , Chen Tao , Yang Jing , Shao Yongfeng , Shi Yinghui , Duanmu Jianyu , Zhou Chengbin , Xiong Yaoyao 
Published: February 2025

IntroductionCardioplegia during cardiopulmonary bypass is essential for ensuring a surgical field free of blood and cardiac movement. Numerous cardioplegia solutions are available, but consensus guidelines about the safest or most effective do not exist. The present trial will compare the Huaxi-1 cardioplegia solution, which has been used since 2006 with good results at a major Chinese cardiac centre not involved in this trial, with the widely used Custodiol histidine-tryptophan-ketoglutarate (HTK) solution in terms of safety and efficacy at inducing cardiac arrest and protecting the myocardium during bypass.Methods and analysisA total of 160 adult patients undergoing elective cardiac surgery requiring cardiopulmonary bypass and cardioplegic arrest will be recruited at four medical centres in China. Recruitment is planned to begin on 1 November 2024, and is expected to conclude by 31 October 2025. Eligible patients will be randomly allocated 1:1 to receive either Huaxi-1 or HTK cardioplegia solution. The primary endpoint is the peak level of high-sensitivity cardiac troponin T (hs-cTnT) within 48 hours after surgery between the two groups. The secondary endpoints include levels of myocardial injury markers such as the creatine kinase-myocardial band (CK-MB) and cardiac troponin I at baseline and at 6, 12, 24 and 48 hours after surgery. The two groups will also be compared in terms of how left ventricular ejection fraction changes from baseline and in terms of the rate of spontaneous cardiac recovery. Data will be analysed using SAS V.9.4.Ethics and disseminationThis trial has been approved by the ethics committees at Guangdong Provincial People’s Hospital (lead site) and the three other study sites. The results of the study will be published in peer-reviewed journals and presented at international conferences.Trial registration numberChiCTR2400089689 (www.chictr.org.cn).
Exploring Structural Evolution and Lattice Oxygen Bonding Variation in Li-Rich NCM Cathode Materials
Authors: Wu Guilin , Zhao Chundong , You Yiwei , Wu Fulun , Lü Tieyu , Cao Xin-Rui , Zhu Zi-Zhong , Wu Shunqing 
Published: February 2025

Abstract
Ternary lithium-ion cathode materials, notably Nickel-Cobalt-Manganese (NCM), hold immense promise as key components for high-capacity and high-energy-density lithium-ion batteries. However, their long‐term cyclability is hindered by several challenges, primarily attributed to interlayer migration of transition metals (TM), alterations in lattice oxygen bonding, and structural instability during extensive charge-discharge cycles. To address these limitations and gain a deeper understanding of the underlying mechanisms, we developed a deep potential model. This model, trained on comprehensive data from first-principles calculations and molecular dynamics simulations, enables highly accurate predictions of energies and forces across various structures. Leveraging this advanced tool, we conducted a rigorous investigation into the structural evolution and stability of lithium-rich NCM cathode materials. Our findings underscore the exceptional ability of Li1.188Ni0.250Co0.125Mn0.437O2 to significantly mitigate interlayer migration of TM ions, outperforming other compositions in this regard. Furthermore, we have elucidated the mechanisms governing TM ion migration and oxygen vacancy formation, highlighting how their interplay with lattice oxygen bonding leads to voltage hysteresis. These insights provide crucial guidance for designing and optimizing high-performance, structurally stable NCM cathode materials, with significant implications for next-generation electric vehicles and energy storage systems.
Prediction and Optimization of Microhardness of Electroless Ni–P alloy Coating Based on Machine Learning
Authors: ZHAI SEN , Sugio Kenjiro , Sasaki Gen 
Published: February 2025

Abstract
This study explores the design and optimization of parameters in electroless nickel-phosphorus alloy coating using machine learning methods to quickly achieve desired hardness values. Three different types of models, including K-Nearest Neighbors, Extreme Gradient Boosting (XGBoost), and Support Vector Regression, were employed to predict coating hardness based on electrolyte composition and process parameters. The relationship between electroless bath parameters and coating hardness was revealed using SHapley Additive exPlanations analysis. The results showed that the XGBoost model outperformed the other two models, achieving an R² of 0.924 and an RMSE of 0.0651. The pH value, bath temperature, and sodium citrate concentration have the most significant impact on coating hardness. Finally, three samples were selected for experimental verification, and it was found that the XGBoost model could accurately predict the hardness values. This demonstrates the feasibility and practicality of using machine learning methods to predict the hardness of electroless nickel-phosphorus alloy coatings.
Outcome Measures in Evaluation of Weighted Blankets: A Scoping Review
Authors: Lönn Maria , Odéus Ellen 
Published: February 2025

Introduction: Weighted blankets are an intervention used in healthcare settings for alleviating anxiety and sleep problems. Selection of appropriate outcome measures that capture relevant effects is important in clinical practice and research. However, outcomes used are diverse and not standardised. Therefore, this scoping review is aimed at identifying, synthesising, and describing available research and used outcome measures in research studies evaluating weighted blankets.Methods: A scoping review was conducted, with a search of four databases. The search included studies published until February 2024. Results were categorized according to target population (adult or child) and primary outcome (sleep or anxiety). A conceptual map was developed to describe outcome measures used in the field.Results: A total of 38 studies were identified, including 12 randomised controlled trials, 13 pre–post‐studies, 6 case studies, 3 register studies, and 3 qualitative studies. The State–Trait Anxiety Inventory and the Anxiety Visual Analogue Scale were commonly used outcome measurements in evaluation of weighted blanket effects on anxiety and most commonly conducted in an adult population. There was considerable heterogeneity in the outcomes used, particularly within the domain of sleep. In studies evaluating weighted blankets as a sleep intervention for children, objective measurement methods such as actigraphy were common, as was the use of a sleep diary.Conclusion: Even though there is extensive research available evaluating weighted blanket use and effects, there is a lack of standardised outcome measures and instruments are not adapted to use within occupational therapy practice. More research is necessary, informing clinical practice about which measures to use and when. Furthermore, there is a need to develop an instrument specifically tailored for use within occupational therapy practice to evaluate sleep interventions.
Body size and wing shape as predictors of the initial flight acceleration in bats of the Brazilian Atlantic Forest
Authors: Miranda João Marcelo Deliberador , Marchioro Sabrina , Santos Fernanda Almeida , Ludwig Luiz Gabriel do Prado , Zago Luciana , Carvalho Fernando 
Published: February 2025

Bat body size and some aspects of the wing shape are considered efficient indicators of bat flight performance. Here, we evaluated how body size and wing shape can be predictors of initial flight acceleration (0-10 meters) in 15 bat species (3 families) occurring in the Atlantic Forest. Two body size variables (wingspan and body mass) and three wing shape variables (relative wing loading, aspect ratio and wing tip index) were taken from 74 individuals. We carried out flight experiments with another 59 individuals, to evaluate the Initial Flight Acceleration (IFA). We used generalized linear models (GLM) to evaluate which variables were the best predictors of initial flight acceleration. Furthermore, we tested the phylogenetic signal for initial flight acceleration, and the hypothesis of phylogenetic autocorrelation for this behavior was discarded (p > 0.05). Our results show that larger species with narrow wings need to develop greatest initial accelerations to take off flight. We suggest a morphological restriction on flight, since most bat species analyzed have low values in both variables and those that have high values are only in one of these variables.
Analysis of
TTN
Truncating Variants in >74 000 Cases Reveals New Clinically Relevant Gene Regions
Authors: Vatta Matteo , Regalado Ellen , Parfenov Michael , Swartzlander Dan , Nagl Andrea , Mannello Meghan , Lewis Rachel , Clemens Daniel , Garcia John , Ellsworth Rachel E. , Morales Ana , Ting Yi-Lee , Aradhya Swaroop 
Published: February 2025

BACKGROUND:

Truncating variants (TTNtvs) in the titin (
TTN
) gene have been associated with cardiomyopathies or arrhythmias (C/A) and autosomal recessive neuromuscular diseases (NM). However, the clinical significance of TTNtvs across the entire coding sequence of
TTN
has not been comprehensively assessed. The purpose of this study was to examine the burden of TTNtvs in C/A and NM cases compared with controls in the genome aggregation database.

METHODS:

This was a retrospective study of probands who underwent multigene testing (49 740 C/A panel, 24 514 NM panel) that included
TTN
from November 2017 to October 2021. Burden testing was performed using controls in the genome aggregation database v3.1.2 database, and the analysis was stratified by exon/band location and exon usage in cardiac or skeletal muscle. Frequency and odds ratio of TTNtv alleles in C/A or NM cases and genome aggregation database controls were measured.

RESULTS:
There were 2446 (4.9%) C/A and 482 (2.0%) NM cases with 2446 and 528 TTNtv alleles, respectively. TTNtvs in all bands were significantly enriched in both C/A and NM cases compared with controls. A significant enrichment of TTNtvs in C/A was observed for exon 358 of the M-band (odds ratio, 2.55 [95% CI, 1.85–3.54]) but not the other M-band exons.

CONCLUSIONS:

In the largest single-site cohort of C/A and NM cases with TTNtvs, an enrichment of TTNtvs across
TTN
was observed. These findings expand the clinically relevant regions of
TTN
.
Temporal Trends in Stroke Management and Outcomes Between 2011 and 2020 in South Korea: Results From a Nationwide Multicenter Registry
Authors: Park Tai Hwan , Hong Keun‐Sik , Cho Yong‐Jin , Ryu Wi‐Sun , Kim Dong‐Eog , Park Man‐Seok , Choi Kang‐Ho , Kim Joon‐Tae , Kang Jihoon , Kim Beom‐Joon , Han Moon‐Ku , Lee Jun , Cha Jae‐Kwan , Kim Dae‐Hyun , Kim Jae Guk , Lee Soo Joo , Kwon Jee‐Hyun , Kim Wook‐Joo , Shin Dong‐Ick , Yum Kyu Sun , Sohn Sung Il , Hong Jeong‐Ho , Choi Jay Chol , Lee Byung‐Chul , Yu Kyung‐Ho , Oh Mi‐Sun , Park Jong‐Moo , Kang Kyusik , Lee Kyungbok , Lee Sang‐Hwa , Jeong Hae‐Bong , Park Kwang‐Yeol , Lee Ji Sung , Lee Juneyoung , Gorelick Philip B. , Bae Hee‐Joon 
Published: February 2025

Background
This study aims to evaluate temporal trends of advanced treatments and related clinical outcomes of ischemic stroke through a decade‐long trend analysis, using data from a comprehensive, national, multicenter registry. We also seek to identify areas in need of improvement.

Methods and Results

This analysis involved patients with ischemic stroke or transient ischemic attack registered prospectively in the CRCS‐K‐NIH (Clinical Research Center for Stroke in Korea–National Institute of Health) registry between 2011 and 2020. We examined temporal trends in risk factors, pathogenetic subtypes, acute management strategies, and outcomes for up to 1 year following a stroke. Generalized linear mixed models were used to account for center clustering. The average age of 77 662 patients increased 2.2 years in men and 2.4 years in women over the 10‐year follow‐up. Notably, in‐hospital neurological deterioration, 3‐month and 1‐year mortality rate, and cumulative incidence of recurrent stroke within 1‐year decreased over time after adjustments for age, sex, and initial stroke severity (
P
<0.01). However, functional outcomes at 3 months and 1 year remained unchanged. Endovascular thrombectomy increased from 5.4% in 2011 to 10.6% in 2020. Use of anticoagulants for atrial fibrillation, dual antiplatelet therapy, statins, and stroke unit care also increased. Contrarily, the rate of intravenous thrombolysis showed a slight decline.

Conclusions
This study points to a reduction in death and risk of recurrent stroke over the past decade, paralleling enhancement in acute and preventive stroke management. Nevertheless, the decline in the use of intravenous thrombolysis and the lack of improvement in functional outcomes following stroke are concerning trends that warrant thorough investigation.
Combination and Differentiation Theories of Categorization: A Comparison Using Participants’ Categorization Descriptions
Authors: Thomas Sujith , Kapoor Aditya , Srinivasan Narayanan 
Published: February 2025

Abstract
Differentiation and Combination theories make different predictions about the order in which information is processed during categorization. Differentiation theory posits that holistic processing of a stimulus occurs before individual features are processed. According to Differentiation theory, overall similarity-based categorization is faster and less effortful compared to unidimensional categorization. In contrast, Combination theory posits that individual features are processed first and that information regarding these features must be combined during multidimensional categorization. According to Combination theory, overall similarity-based categorization is more effortful and takes more time compared to unidimensional categorization. In this study, we trained participants to learn artificial categories using classification learning and observation learning procedures. We used participants’ categorization descriptions to determine the number of stimuli dimensions used for categorization. Our results from the first three experiments show that participants who used more dimensions took more time to categorize the transfer stimuli, consistent with Combination theory. In Experiment 4, we tested the hypothesis that using more dimensions takes more time solely due to multiple eye fixations and saccades. In our study, we used visual stimuli with features that do not overlap in space. Our results show that while performing a multidimensional task, participants need more time to recall the feature-category associations learned during the experiment, making the task more effortful, as predicted by Combination theory. Further studies are needed to determine whether Combination theory applies to other types of stimuli, particularly those with spatially non-separable features.
Pragmatics as Social Inference About Intentional Action
Authors: Bohn Manuel , Frank Michael C. 
Published: February 2025

Abstract
Pragmatic inferences are based on assumptions about how speakers communicate: speakers are taken to be cooperative and rational; they consider alternatives and make intentional choices to produce maximally informative utterances. In principle, this analysis applies to linguistic but also non-linguistic communicative actions, but this prediction is typically only tested in children and not in more systematic implicature contexts. We test key implications of this view across six online experiments with American English speaking adults (total N = 231). Experiments 1A and 1B showed that participants made pragmatic inferences based on different types of communicative actions, some being non-linguistic. In Experiment 2, pragmatic inferences were found to be conditional on the speaker’s epistemic states. Finally, Experiments 3A to 3C showed that pragmatic inferences were more likely to be made when the communicative action was produced intentionally. Taken together, these results strengthen the view that pragmatics includes social inference about cooperative communication over intentional actions, even non-linguistic actions.
To which degree do the details of stochastic perturbation schemes matter for convective-scale and mesoscale perturbation growth?
Authors: Chen I-Han , Berner Judith , Keil Christian , Thompson Gregory , Kuo Ying-Hwa , Craig George 
Published: February 2025

Abstract
This study compares the impacts of two stochastic parameterization schemes in a convective scale model. The implementation of the physically based stochastic boundary layer perturbation (PSP) scheme in the Weather Research and Forecasting (WRF) model represents uncertainties arising from unresolved boundary-layer processes due to the finite grid size. Uncertainty in the microphysical processes is represented by the stochastic parameter perturbation (SPPMP) scheme. We examine the regime dependence of the impacts with 48 h forecasts of days with weakly and strongly forced convection, as well as winter storms.
Early in the forecasts, the two stochastic parameterizations have different effects. The PSP scheme responds to boundary layer turbulence and produces strong perturbations that grow in phase with the diurnal cycle of convection. In regions with existing precipitation, SPPMP produces perturbations that grow more slowly with lead time, independent of the time of day. Perturbation growth in the PSP experiments is stronger for convective weather and can increase the total precipitation by triggering new convection, but SPPMP can dominate when precipitation occurs under stable conditions at night or in winter storms. The differences between the two schemes are relatively short-lived, and within a day of simulation, the amplitude and structure of differences introduced by both schemes are similar. This is found to be associated with saturation of perturbation growth on small scales (up to about 50 km). The locations and amplitudes of upscale perturbation growth appear to be determined by the larger-scale dynamics, independent of the details of the stochastic physics.
Eclipsing the Son: An assessment of online witness and evangelism during the 2024 solar eclipse
Authors: Teasdale Mark R. 
Published: February 2025

The solar eclipse that was visible across North America on 8 April 2024 was the impetus for numerous social media posts relating to Christian witness and evangelism. Collecting and analyzing posts revealed that they could be divided into four categories: 1. Using the eclipse as the basis for in-person evangelistic engagement. 2. Proclaiming God as Creator. 3. Teaching object lessons about God’s relationship to humanity. 4. Declaring the eclipse was a message from God to humanity that demanded action. The posts in each category were then assessed using current Protestant and ecumenical evangelism theory. This yielded three results. First, it showed that most Christians did not adhere to a specific theoretical approach to evangelism. Second, it provided insight into how effective the posts might be in reaching their target audiences. Third, in some cases it suggested how the nature and limitations of online media can affect the ways Christians discuss or engage in evangelism.
CT-based radiomics predictive model for spread through air space of IA stage lung adenocarcinoma
Authors: Chen Song , Wang Xiang , Lin Xu , Li Qingchu , Xu Shaochun , Sun Hongbiao , Xiao Yi , Fan Li , Liu Shiyuan 
Published: February 2025

Background Spread through air spaces (STAS) in lung adenocarcinoma means different treatment and worse prognosis. Purpose To construct a radiomics model based on CT scans to predict the presence of STAS in stage IA lung adenocarcinoma, compared with the traditional clinical model. Material and Methods The study included 317 patients (median age = 57.21 years; age range = 45.84–68.61 years) with pathologically confirmed stage IA lung adenocarcinoma. In total, 122 (38.5%) patients were diagnosed with STAS by pathology after the operation. Two experienced radiologists independently segmented the lesions using MITK software and extracted 1791 radiomics features using Python. Single-factor t-test or Mann–Whitney U-test and LASSO were used to screen for radiomics signatures related to STAS. This study constructed a radiomics model, a clinical model, and a combined model, combining radiomics and clinical features. Model performance was evaluated using the area under the curve (AUC). Results By single-factor analysis, four clinical features and 13 radiomics features were significantly associated with STAS. The three models (the clinical, radiomics, and combine models) achieved predictive efficacy, with an AUC of 0.849, 0.867, and 0.939, respectively, in the training set and 0.808, 0.848, and 0.876, respectively, in the testing set. Conclusion The combined model based on the radiomics and clinical features of preoperative chest CT could be used to preoperatively diagnose the presence of STAS in stage IA lung adenocarcinoma and has an excellent diagnostic performance.