Identification of m5C RNA modification-related gene signature for predicting prognosis and immune microenvironment-related characteristics of heart failure by Zirui Liu, Rui Feng, Ying Xu, Meili Liu, Haocheng Wang, Yu Lu, Weiqi Wang, Jikai Wang, Cao Zou

“…Four hub genes were identified by machine-learning algorithms and all verified by validation model. …”
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Compliance with the Use of PPE Among UD Nusa Workers in Sukorejo Village, Loceret District by Nurwijayanti, Shofura Nida Khansa

“…Background: Attitude is a learned predisposition to respond to an object positively or negatively. …”
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MECHANISM FOR DESIGNING COMPETENCE-ORIENTED TASKS IN VARIOUS ACADEMIC SUBJECTS AND REQUIREMENTS FOR ITS IMPLEMENTATION IN HIGHER EDUCATIONAL ESTABLISHMENTS by Natalya M. Zhukova, Petr F. Kubrushko, Marina V. Shingareva

“…The grounds for the classification of the competence-oriented tasks are considered: its position in the hierarchy of the formed competencies, professional activities stated in the State Educational Standard, types of the formed skills, the content of tasks and its intended purposes, the mode of learning and cognitive activity of students, the study forms implying the use of the tasks, and the number of students involved in the problem solving. …”
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Stewardship of digital language archives: training development and testing through collaboration of information scientists, linguists, and communities by Oksana L. Zavalina, Alexandra O'Neil, Shobhana L. Chelliah

“…The project is expected to positively impact LAM education and DLA users’ experiences. …”
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The feasibility and acceptability of implementing simplified cognitive behavioral therapy approaches to support postpartum mental health and address associated social and behaviora... by Sarah Burgess, Tesera Bitew, Andenet Haile, Julien Souffrant, Dominick Shattuck, Lynn M. Van Lith, Jessica Moore, Zoé M. Hendrickson

“…Cognitive Behavioral Therapy (CBT) is an evidence-based practice that has proven helpful for improving mental health and supporting positive behavior change across health areas, including in low-resource settings. …”
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Strength-agility and fine motor are differently associated with non-verbal intelligence in dependency to sex and age in school children: Structural equation modelling multigroup ap... by Martin Musálek, Chipo Malambo, Jan Chrudimský, Jakub Kokštejn, Radka Bačáková, Šárka Vokounová

“…Background: In today's digital age, demanding to interpret vast quantities of visual information with speed and accuracy, nonverbal Intelligence has become increasingly crucial for children, as it plays a key role in cognitive development and learning. While motor proficiency has been positively linked to various cognitive functions in children, its relationship with nonverbal Intelligence remains an open question. …”
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Dynamic taxonomy generation for future skills identification using a named entity recognition and relation extraction pipeline by Luis Jose Gonzalez-Gomez, Sofia Margarita Hernandez-Munoz, Abiel Borja, Fernando A. Arana-Salas, Jose Daniel Azofeifa, Jose Daniel Azofeifa, Julieta Noguez, Patricia Caratozzolo, Patricia Caratozzolo

“…By leveraging machine learning models, this taxonomy aims to bridge the gap between current skills and future demands, contributing to educational and professional development.MethodsTo achieve this, an NLP-based architecture was developed using a combination of text preprocessing, NER, and RE models. …”
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Energy-Efficient DC Power Traction Network Systems for Urban Mass Transportation: A Comparative Study of Optimization Algorithms by Dongxian Yu, Zhixin Wu, Lei Wang, Zaihui Cao, Hamdolah Aliev

“…To validate the proposed method, we compare the performance of the GWO algorithm with other optimization techniques, such as the Teaching-Learning-Based Optimizer (TLBO) and Differential Evolution (DE). …”
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Detailed Architectural Design of a Multi-Head Self-Attention Model for Lithium-Ion Battery Capacity Forecasting by Juyeon Park, Gyeong Ho Lee, Jangkyum Kim, Yoon-Sik Yoo, Il-Woo Lee

“…To address variability in battery data collection, we implement robust preprocessing techniques and a sliding window method to standardize data input. Positional encoding is applied to embed sequence order information at the input stage, while residual connections and layer normalization between MHSA layers optimize the learning process. …”
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High resolution models of transcription factor-DNA affinities improve in vitro and in vivo binding predictions. by Phaedra Agius, Aaron Arvey, William Chang, William Stafford Noble, Christina Leslie

“…We used a novel -mer based string kernel called the di-mismatch kernel to represent probe sequence similarities. …”
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Clients Purchasing Tendency Community Classification in E-Commerce Scenario: Multi-Feature Search for Densely Distributed Clients in Huge Network by Mingyuan Li, Chun-Ming Yang, Yi-Wei Kao

“…This engine ranks and suggests products—such as clothing items or color themes—based on each userąŕs affiliation with learned communities. …”
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Towards an Efficient Remote Sensing Image Compression Network with Visual State Space Model by Yongqiang Wang, Feng Liang, Shang Wang, Hang Chen, Qi Cao, Haisheng Fu, Zhenjiao Chen

“…However, the majority of these learned image compression (LIC) techniques are primarily CNN-based and transformer-based, often failing to balance the global ERF and computational complexity optimally. …”
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Development of Au-Nanoprobes Combined with Loop-Mediated Isothermal Amplification for Detection of Isoniazid Resistance in Mycobacterium tuberculosis by Jutturong Ckumdee, Thongchai Kaewphinit, Kosum Chansiri, Somchai Santiwatanakul

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Development of Women Resilience in the Workplace: A Solution to Break the Glass Ceiling by Farajallah Rahimi, Maral Ahmadi Arpanahi

“…MethodologyThis research is applied in terms of purpose and based on the method of data collection in the category of descriptive-correlational research. …”
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Penerapan Importance Performance Analysis (IPA) pada Evaluasi Keberlanjutan Penggunaan e-filing untuk Pelaporan Pajak Perorangan by Imelda Saluza, Dewi Sartika

“…To get the most out of e-filing as a method of uploading individual tax returns (SPT). …”
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Validation of Gait Process Evaluation in People with Lower Limb Amputation by Marcin Zaczyk

“…Objective: The gait process after lower limb amputation in a prosthesis is far from the original previously learned gait. In this paper, we present a simple method of observing and recording gait parameters. …”
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Exploring the Impact of Streets’ Syntactic Properties on the Urban Functions and Land Use: Insights from Spatial Network Analysis by Aya Furat Alobaydi, Dhirgham Alobaydi, Sally Fakhri Abdullah

“…High choice values also correlate with commercial activity (ρ=0.160, p<0.01), so spatial accessibility plays a big role in shaping urban functions and land use. There is a lot to learn from this in other historical urban situations to compare and apply urban design principles based on syntactic properties. …”
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ET-Mamba: A Mamba Model for Encrypted Traffic Classification by Jian Xu, Liangbing Chen, Wenqian Xu, Longxuan Dai, Chenxi Wang, Lei Hu

“…During the pre-training phase, positional embedding is used to characterize the blocks of the traffic grayscale image, and random masking is used to strengthen the learning of the intrinsic correlation among the blocks of the traffic grayscale image. …”
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Dataset of polarimetric images of mechanically generated water surface waves coupled with surface elevation records by wave gauges linear arrayScienceDB by Noam Ginio, Michael Lindenbaum, Barak Fishbain, Dan Liberzon

“…The developed method training and evaluation was based on in-house made supervised dataset. …”
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Ventricular volume adjustment of brain regions depicts brain changes associated with HIV infection and aging better than intracranial volume adjustment by Benedictor Alexander Nguchu, Benedictor Alexander Nguchu, Jing Zhao, Jiajun Fan, Yifei Han, Yu Lu, Han Jin, Yanming Wang, Hongjun Li, Peter Shaw

“…IntroductionWhile the adjustment of intracranial volume (ICV) is reported to have a significant influence in the outcomes of the analyses of brain structural measures, our study offers a paradigm shift, positing that adjusting for lateral ventricle (LV) inter-individual variability may reveal more atrophic patterns that might be overlooked in analyses without this adjustment,—and such LV-adjusted atrophic patterns may reduce discrepancies observed in earlier studies and better elucidate complex conditions associated with HIV, such as HAND.MethodsTo test this hypothesis, we employed a number of adjustment strategies on MRI T1-image-derived data extracted using deep learning models and compared their ability to identify the presence and extent of HIV-specific atrophic patterns based on statistical measures and strength.ResultsOur results show that both ICV adjustments may be effective to identify atrophic patterns associated with either aging or HIV in areas of the thalamus, basal ganglia, ventral DC and lateral ventricle, some of which may be overlooked without these adjustments. …”
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