bluuebunny/crossref_metadata_2025_split huggingface dataset:
BSPKTM-SIFE-WST: Bispectrum based Channel Selection using Set-Based-Integer-Coded Fuzzy Granular Evolutionary Algorithm and Wavelet Scattering Transform for Motor Imagery EEG Classification
Authors: KARDAM VIKRAM SINGH , TARAN SACHIN , PANDEY ANUKUL 
Published: October 2024

Abstract

Background
A brain-computer interface (BCI) is a system that makes communication between the brain and an external device. The electroencephalogram (EEG) is the most favourable tool for extracting neural signals from the brain. Motor Imagery (MI) based BCI with EEG signals is an active BCI paradigm. The performance of MI-based BCI is easily affected by noise and redundant information. To decrease noisy and redundant information and increase the spatial resolution of the EEG signals, a multichannel EEG-based BCI system is used. However, high-dimensional data from multichannel BCI systems has serious impact on the classification performance. Therefore, for better classification performance of EEG-based BCI systems, channel selection methods are used. Generally, many traditional signal processing techniques such as correlation and power spectrum have been used for feature-based channel selection. However, the estimation of the power spectrum discards the phase relationship among frequency components.
Methods
To solve this problem, a bispectrum (BSPKTM) based channel selection technique is used to overcome the drawback of the power spectrum. It effectively provides the frequency domain information of MI related brain activities. Therefore, in this study, a bispectrum-based channel selection algorithm is proposed for the MI-based BCI system. The most relevant channels from bispectrum analysis are selected from bispectrum analysis using a set-based integer-coded fuzzy granular evolutionary algorithm (SIFE). The features are extracted from the selected channels using wavelet scattering transform (WST).
Results
Finally the experiments are tested on multiple classifiers and best performance is obtained using the SVM classifier. The best results are obtained as accuracy 96.78%, sensitivity 93.58%, specificity 94.64%, F1-score 0.9403, and kappa value 0.8821. The other classifiers also attained significant results using minimum number of EEG channels.
Conclusions
The proposed work explores the utility of channel reduction using BSPKTM-SIFE and WST based features extraction for the classification of left hand and right hand MI tasks EEG signals.
Do your employees really thrive or just (barely) survive? Exploring the potential benefits of having frontline home care professionals that thrive at work
Authors: Mutonyi Barbara Rebecca , Slåtten Terje 
Published: October 2024

Abstract

Background This study explores thriving at work (TAW) as an influential aspect of employees’ experience of their organization and work conditions. TAW concerns whether employees are energized and feel alive as members of an organization. Although TAW is essential for organizations, few studies have focused specifically on TAW within a healthcare context. In particular, research has not considered the potential benefits of frontline TAW for employees. The aim of this study is to examine a broad selection of potential benefits of TAW to individuals. Three types of benefits are explored: (1) job performance, (2) creative performance, and (3) learning. Each of these types involves two factors, representing the potential outcomes or benefits of TAW in each category. No previous research has explored the benefits of TAW as extensively as this study. Consequently, this study is unique and contributes to a relatively overlooked subfield of health services research. Methods This study utilized a crosss-sectional survey in nine home care insitutions in Norway, with a total ofN = 258 home care professionals in Estern-Norway. The study analyzed its data with the Stata 17 program, using the SEM (structural equation modeling) method to measure the direct proposed relationships. Results The results reveal that frontline home care professionals’ level of TAW is positive for each of the three categories examined. Specifically, the individual benefits of TAW in each category are as follows: first category (job performance), service quality of care (β = 0.46) and work productivity (β = 0.46); second category (creative performance): individual innovative behavior (β = 0.39) and creativity (β = 0.37); third category (learning): learning orientation (β = 0.40) and relationship learning (β = 0.49). Conclusions Frontline home care professionals’ TAW level is directly linked to many desirable individual benefits. Consequently, managers of healthcare organizations should take the TAW of their frontline employees seriously. Specifically, they should inspect and closely follow how the TAW in their organization may change over time. This requires organizations to track the TAW of their frontline employees continuously, and if it falls, managers should quickly identify the root cause and implement policies to return it to an acceptable level. Therefore, managers should focus on and continually foster the TAW of their employees. As our results demonstrate, TAW is a multipurpose tool that can successfully achieve numerous desirable and important benefits in healthcare organizations.
Reanalysis of cryo-EM data reveals ALK-cytokine assemblies with distinct stoichiometries
Authors: Savvides Savvas , Felix Jan , De Munck Steven , Bazan Fernando 
Published: October 2024

Abstract

Anaplastic lymphoma kinase (ALK) and leukocyte tyrosine kinase (LTK) are receptor tyrosine kinases activated by their cognate ligands ALKAL2 and ALKAL1 resulting in pleiotropic signalling outputs in development, metabolism and cancer. Structural studies by X-ray crystallography and electron cryo-microscopy (cryo-EM) recently revealed distinct assemblies corresponding to ALK-ALKAL2 and LTK-ALKAL1 assemblies with either 2:1 stoichiometry versus ALK-ALKAL2 complexes with 2:2 stoichiometry. Here, we report the reanalysis of cryo-EM data deposited by Reshetnyak et al. (EMPIAR-10930) and show that over half of the particles in the dataset correspond to ALK-ALKAL2 complexes obeying a 2:1 stoichiometry besides the originally reported structure displaying 2:2 stoichiometry. Our workflow critically relied on extensive particle orientation rebalancing in cryoSPARC followed by 3D refinement with Blush regularization in RELION leading to a 3D reconstruction of the 2:1 ALK-ALKAL2 complex to 3.2 Å resolution. This cryo-EM structure together with the reported crystal structures of ALK-ALKAL2 and LTK-ALKAL1 complexes with 2:1 stoichiometry, reconcile a common receptor dimerization mode for ALK and LTK poised for the facile juxtapositioning of their intracellular kinase domains for signalling.
Characterization of Respiratory, Skin, and Cloaca Microbiota in Mediterranean Loggerhead and Green Sea Turtle Populations
Authors:   Vanessa M. Bachmann1 M. Bachmann, Hochscheid Sandra , Affuso Andrea , Pace Antonino , Lalzar Maya , Levy Yaniv , Kan Gaston , Rybak Olga , Tchernov Dan , Morick Danny , Meron Dalit 
Published: October 2024

Abstract

Animals are considered biological units with their microbiota, which is composed of commensal, pathogenic, and symbiont bacteria. This microbiota is shaped by the environment and through changes in the animal life history, and it plays a key role in the physiology and fitness of its host. Sea turtles are known to be good indicators of marine ecosystem health, and it is known that their populations are declining in the Mediterranean. Herein, we characterize the upper respiratory, cloaca, and skin microbiota of loggerhead sea turtles under rehabilitation at the Israeli Sea Turtle Rescue Center located in Mikhmoret, Israel, and the Stazione Zoologica Anton Dohrn located in Napoli, Italy to compare sea turtles’ microbiota in the Eastern Mediterranean Sea (EMS) and the Western Mediterranean Sea. Furthermore, we characterize the breath, skin, and cloaca microbiota of green sea turtles kept in captivity for conservation purposes at the Israeli Sea Turtle Rescue Center. Our results showed significant composition differences between the three groups of sea turtles, their surrounding water, and between the organs assessed within and between species. Additionally, we identified core bacterial taxa for the organs sampled in each sea turtle group. The dominant bacteria in all turtle groups belonged to the Gammaproteobacteria, Bacteroidia and Alphaproteobacteriaclasses. Our study is the first one to enable the comparison of the microbial composition of two loggerhead populations in the Eastern and Western Mediterranean. The results aligned with previous findings regarding the dominant bacterial groups and constituted baseline data for the core microbial communities’ composition on wild chelonians as sentinel species in the Tyrrhenian and Levantine basins. The differences in the bacterial profile enable the identification of the turtles' species, sex, and environment. Changes in the microbiota can also indicate their health status. Additionally, the microbiome characterization of the Israeli green sea turtle population allows the understanding of the microbial community composition of a breeding stock aimed to repopulate the EMS to improve its conservation status practically extinct in the area.
Nucleation-promoting and growth-limiting synthesis of disordered rock-salt Li-ion cathode materials
Authors: Lee Jinhyuk , Ahmed Hoda , Woo Moohyun , Dumaresq Nicolas , Lara Pablo , Brodusch Nicolas , Seo Dong-Hwa , Gauvin Raynald , Demopoulos George 
Published: October 2024

Abstract

Manganese-based disordered rock-salt (Mn-DRX) oxides and oxyfluorides are promising cathode materials for high-performance, nickel- and cobalt-free Li-ion batteries. However, existing synthesis methods for these materials require post-synthesis particle pulverization to achieve acceptable particle size for cycling, which lacks control over particle microstructure and crystallinity, accelerating performance degradation and limiting secondary particle processing. In this study, we propose a universal synthesis method using Li1.2Mn0.4Ti0.4O2 as a representative Mn-DRX, which promotes nucleation while limiting particle growth and agglomeration. This method controls the particle size while preserving the crystallinity to produce highly crystalline, dispersed sub-200 nm single particles, which form homogeneous electrode films with significantly improved capacity retention (84.3% over 100 cycles at ~200 mAh/g) and discharge voltage retention (4.8 mV loss per cycle) compared to electrodes made from particles synthesized through traditional solid-state synthesis followed by pulverization (38.1% capacity retention and 7.5 mV loss per cycle). Our approach offers a new direction for Mn-DRX research and development in nickel- and cobalt-free Li-ion batteries.
Analyzing the Impact of Different Shading Devices on Energy Consumption and Thermal Comfort in Office Buildings Using Machine Learning and Energy Simulation in Three Different Climates of Iran.
Authors: Abedini Mohammad Hassan 
Published: October 2024

Abstract

This study investigates the impact of three types of shading devices, including overhangs, louvers, and side fins, on energy consumption and thermal comfort in office buildings. The analysis utilizes climatic data from three cities—Yazd, Tehran, and Bandar Abbas—extracted from EPW files and simulated using the Honeybee and Ladybug tools. Additionally, the XGBoost machine learning model is employed to provide more accurate predictions of shading devices' effects on indoor temperature and energy consumption. Key climatic factors such as temperature, solar radiation, humidity, and wind speed are used as input variables for the model. The results indicate that overhangs in the hot and dry climate of Yazd significantly reduce energy consumption, while louvers demonstrate the highest efficiency in the hot and humid conditions of Bandar Abbas. This study highlights the importance of combining energy simulations with machine learning algorithms to optimize shading device design and improve thermal and lighting comfort.
National Trends in the Prevalence of Self-Perceived Overweight Among Adolescents Between 2005 and 2022: Nationwide Representative Study
Authors: Jeong Jinyoung , Lee Seungjun , Lee Kyeongmin , Kim Seokjun , Park Jaeyu , Son Yejun , Lee Hyeri , Lee Hayeon , Kang Jiseung , Rahmati Masoud , Pizzol Damiano , Smith Lee , López Sánchez Guillermo F , Dragioti Elena , Fond Guillaume , Boyer Laurent , Woo Selin , Rhee Sang Youl , Yon Dong Keon 
Published: October 2024

Background
Despite several studies on self-evaluation of health and body shape, existing research on the risk factors of self-perceived overweight is insufficient, especially during the COVID-19 pandemic.

Objective
This study aims to identify the risk factors affecting self-perceived overweight and examine how the prevalence of self-perceived overweight has changed before and during the COVID-19 pandemic. Specifically, we analyzed the impact of altered lifestyles due to COVID-19 on this phenomenon.

Methods
The data used in the study were obtained from middle and high school students who participated in the Korean Youth Risk Behavior Web-based Survey (N=1,189,586). This survey was a 2-stage stratified cluster sampling survey representative of South Korean adolescents. We grouped the survey results by year and estimated the slope in the prevalence of self-perceived overweight before and during the pandemic using weighted linear regression, as well as the prevalence tendencies of self-perceived overweight according to various risk factors. We used prevalence ratios to identify the risk factors for self-perceived overweight. In addition, we conducted comparisons of risk factors in different periods to identify their associations with the COVID-19 pandemic.

Results
The prevalence of self-perceived overweight was much higher than BMI-based overweight among 1,189,586 middle and high school participants (grade 7-12) from 2005 to 2022 (female participants: n=577,102, 48.51%). From 2005 to 2019 (prepandemic), the prevalence of self-perceived overweight increased (β=2.80, 95% CI 2.70-2.90), but from 2020 to 2022 (pandemic) it decreased (β=–0.53, 95% CI –0.74 to –0.33). During the pandemic, individuals with higher levels of stress or lower household economic status exhibited a more substantial decrease in the rate of self-perceived overweight. The prevalence of self-perceived overweight tended to be higher among individuals with poor academic performance, lower economic status, poorer subjective health, and a higher stress level.

Conclusions
Our nationwide study, conducted over 18 years, indicated that self-perceived overweight decreased during the COVID-19 period while identifying low academic performance and economic status as risk factors. These findings suggest the need for policies and facilities to address serious dieting and body dissatisfaction resulting from self-perceived overweight by developing counseling programs for adolescents with risk factors such as lower school performance and economic status.
In Silico Evaluation of Algorithm-Based Clinical Decision Support Systems: Protocol for a Scoping Review
Authors: Dorosan Michael , Chen Ya-Lin , Zhuang Qingyuan , Lam Shao Wei Sean 
Published: October 2024

Background
Integrating algorithm-based clinical decision support (CDS) systems poses significant challenges in evaluating their actual clinical value. Such CDS systems are traditionally assessed via controlled but resource-intensive clinical trials.

Objective
This paper presents a review protocol for preimplementation in silico evaluation methods to enable broadened impact analysis under simulated environments before clinical trials.

Methods
We propose a scoping review protocol that follows an enhanced Arksey and O’Malley framework and PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) guidelines to investigate the scope and research gaps in the in silico evaluation of algorithm-based CDS models—specifically CDS decision-making end points and objectives, evaluation metrics used, and simulation paradigms used to assess potential impacts. The databases searched are PubMed, Embase, CINAHL, PsycINFO, Cochrane, IEEEXplore, Web of Science, and arXiv. A 2-stage screening process identified pertinent articles. The information extracted from articles was iteratively refined. The review will use thematic, trend, and descriptive analyses to meet scoping aims.

Results
We conducted an automated search of the databases above in May 2023, with most title and abstract screenings completed by November 2023 and full-text screening extended from December 2023 to May 2024. Concurrent charting and full-text analysis were carried out, with the final analysis and manuscript preparation set for completion in July 2024. Publication of the review results is targeted from July 2024 to February 2025. As of April 2024, a total of 21 articles have been selected following a 2-stage screening process; these will proceed to data extraction and analysis.

Conclusions
We refined our data extraction strategy through a collaborative, multidisciplinary approach, planning to analyze results using thematic analyses to identify approaches to in silico evaluation. Anticipated findings aim to contribute to developing a unified in silico evaluation framework adaptable to various clinical workflows, detailing clinical decision-making characteristics, impact measures, and reusability of methods. The study’s findings will be published and presented in forums combining artificial intelligence and machine learning, clinical decision-making, and health technology impact analysis. Ultimately, we aim to bridge the development-deployment gap through in silico evaluation-based potential impact assessments.

International Registered Report Identifier (IRRID)
DERR1-10.2196/63875
Optimization of callus induction protocol from leaf explants of P<i>ortulaca oleracea</i> and assessment of fatty acid profiles
Authors: Srivastava Archana , Joshi Aruna 
Published: October 2024

A protocol for optimization of callus culture establishment from leaf explants of Portulaca oleracea L. was developed. The effect of ethyl methanesulphonate (EMS) on callus induction and synthesis of fatty acids was evaluated. Callus culture was initiated from leaf explants on Murashige and Skoog’s medium supplemented with 2,4‑dichlorophenoxy acetic acid (2,4‑D), a combination of 2,4‑D + 6‑benzyl adenine (BA) or 2,4‑D + kinetin. The maximum callus biomass was obtained at 2.5 µM BA + 2.5 µM 2,4‑D (20.22 g leaf explant–1 fresh weight). The leaves treated with EMS (0.1 to 0.4% h–1) differentiated callus on this optimized medium combination. The gas chromatography-mass spectrometry analysis of fatty acids indicated that the leaves had a high linolenic acid content (17.72%). The callus cultures synthesized heptadecanoic, oleic, and tricosanoic acids, which were otherwise absent in the leaves. Eicosanoic and docosanoic acids in callus cultures were 2.78 and 3.18 times higher than their content in the leaves, respectively. The diversity of fatty acids in treated callus cultures decreased with increased EMS concentration, but the content of a few individual fatty acids was enhanced. Callus at the dose of 0.1% EMS synthesized linoleic acid, which was two times higher than in the untreated callus, while at 0.2% EMS stearic acid was synthesized, which was absent in the untreated callus. It was concluded that the callus of P. oleracea accumulated different fatty acids, and EMS treatment enhanced the content of a few fatty acids in the cultures.
Correlation Between the Dependency and Quality of Life of Children with Cerebral Palsy
Authors: Victor Agnes 
Published: October 2024

Introduction: Cerebral palsy is one of the neuro developmental disorders with many problems such as physical, functional, psychological, social and financial, as they are dependent upon caregivers on every activity. When these parents learn that their child has cerebral palsy, it distresses them. Even though caring for a child without a disability requires significant resources, these demands are frequently higher. Additionally, psychosocial issues in children with cerebral palsy increases the care burden. The objectives of the study were to correlate the level of dependency and quality of life of children with cerebral palsy before and after intervention. Methods: The study was conducted in Pediatric Rehabilitation Department, ‘King Abdullah Specialist Children’s Hospital, National Guard Health Affairs, Riyadh. The study subjects were the children with cerebral palsy aged 4-12 years along with their caregivers. The researcher had chosen the descriptive study design. 30 children with cerebral palsy were selected using purposive sampling technique. Results & Discussion: Showed that there was a highly significant association at p<0.001 level between the overall quality of life and the level of dependency in the study group. Conclusion: There was an association between level of dependency and the overall quality of life among children with Cerebral palsy.
PENGEMBANGAN E-LKPD MATERI PECAHAN SEDERHANA MENGGUNAKAN APLIKASI FLIP BUILDER UNTUK SISWA KELAS III SEKOLAH DASAR
Authors: Ardika Rafli , Surmilasari Nora , Jayanti Jayanti 
Published: October 2024

Abstract : Development Of E-Lkpd Simple Fraction Material Using The Flip Builder Application For Class Iii Primary School Students. This research aims to produce an E-LKPD product based on the flip builder application that is valid and practical for third grade elementary school students. The method used in this research is Research and Development (R&D) with 3D research steps, namely Define, Design and Develop. Results of research data analysis: In the validity data, the average assessment of validator I was 93.5% in the very valid category, validator II was 95% in the very valid category, and validator III was 78.75% in the valid category. The average result of all validators' assessments of the E-LKPD being developed was 89.8% in the very valid category. The practicality results of E-LKPD have an average assessment, namely a limited trial assessment of 91.42% in the very practical category, and an average assessment of educators' responses of 92.85% in the very practical category. From the research results it can be concluded that E-LKPD based on the flip builder application on simple fraction material is feasible and interesting to use as a learning resource. Keyword : E-LKPD, flip builder, Research and Development (R&D), 3D. Abstrak : Pengembangan E-Lkpd Materi Pecahan Sederhana Menggunakan Aplikasi Flip Builder Untuk Siswa Kelas Iii Sekolah Dasar. Penelitian ini bertujuan untuk menghasilkan produk E-LKPD berbasis aplikasi flip builder yang valid dan praktis untuk siswa kelas III Sekolah Dasar. Metode yang digunakan dalam penelitian ini adalah Research and Development (R&D) dengan langkah-langkah penelitian 3D yaitu Define, Design, dan Develop. Hasil analisis data penelitian Pada data kevalidan rata-rata penilaian validator I sebesar 93,5% dengan kategori sangat valid, validator II sebesar 95% dengan kategori sangat valid, dan validator III sebesar 78,75% dengan kategori valid. Adapun hasil rata-rata penilaian seluruh validator terhadap E-LKPD yang dikembangkan sebesar 89,8% dengan kategori sangat valid. Adapun hasil kepraktisan E-LKPD memiliki rata-rata penilaian yaitu penilaian uji coba terbatas sebesar 91,42% dengan kategori sangat praktis, dan rata-rata penilaian respon pendidik sebesar 92,85% dengan kategori sangat praktis. Dari hasil penelitian dapat disimpulkan bahwa E-LKPD berbasis aplikasi flip builder pada materi pecahan sederhana layak dan menarik untuk digunakan sebagai sumber belajar. Kata kunci : E-LKPD, flip builder, Research and Development (R&D), 3D