Analyzing Higher Education Students’ Prompting Techniques and Their Impact on ChatGPT’s Performance: An Exploratory Study in Spanish by José Luis Carrasco-Sáez, Carolina Contreras-Saavedra, Sheny San-Martín-Quiroga, Carla E. Contreras-Saavedra, Rhoddy Viveros-Muñoz

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Autoencoders with shared and specific embeddings for multi-omics data integration by Chao Wang, Michael J. O’Connell

“…Results In this study we propose a novel autoencoder (AE) structure with explicitly defined orthogonal loss between the shared and specific embeddings to integrate different data sources. …”
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Using Vector Databases for the Selection of Related Occupations: An Empirical Evaluation Using O*NET by Lino Gonzalez-Garcia, Miguel-Angel Sicilia, Elena García-Barriocanal

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DA-YOLOv7: A Deep Learning-Driven High-Performance Underwater Sonar Image Target Recognition Model by Zhe Chen, Guohao Xie, Xiaofang Deng, Jie Peng, Hongbing Qiu

“…New modules such as the Omni-Directional Convolution Channel Prior Convolutional Attention Efficient Layer Aggregation Network (OA-ELAN), Spatial Pyramid Pooling Channel Shuffling and Pixel-level Convolution Bilat-eral-branch Transformer (SPPCSPCBiFormer), and Ghost-Shuffle Convolution Enhanced Layer Aggregation Network-High performance (G-ELAN-H) are central to its design, which reduce the computational burden and enhance the accuracy in detecting small targets and capturing local features and crucial information. …”
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Survey on explainable knowledge graph reasoning methods by Yi XIA, Mingjng LAN, Xiaohui CHEN, Junyong LUO, Gang ZHOU, Peng HE

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Mastering The Art of Speaking: Enhancing Grade 11 Students’ Speaking Skill Through Speakup Scaffold by Amer Mehmood Jason P. Ahmed, Lhea D. Ildefonso, Othaniel Lubbong, Jayson Blanza

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Lexicon-enhanced transformer with spatial-aware integration for Chinese named entity recognition by Jiachen Huang, Shuo Liu

“…Compared to previous state-of-the-art models, it achieves comparable or better performance.…”
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Shuffled Frog-Leaping Algorithm Metaheuristic for Extractive Single- Document Summarization by Juan-David Yip-Herrera, Martha-Eliana Mendoza-Becerra

“… Due to the increasing amount of information available on the Internet, it is important for users to have a summary containing the most important ideas from the documents they find, in order to quickly identify which ones to read. …”
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How lived experiences of illness trajectories, burdens of treatment, and social inequalities shape service user and caregiver participation in health and social care: a theory-info... by Carl R May, Katja C Gravenhorst, Alyson Hillis, Mick Arber, Carolyn A Chew-Graham, Katie I Gallacher, Frances S Mair, Ellen Nolte, Alison Richardson

“…See the NIHR Funding and Awards website for further award information.…”
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Quantifying Alpatva (Scarcity) and Bahutva (Abundance): A Comparative Study of the Scale-identical Hindustānī Rāgas Bhūpālī and Deskār by Achintya Prahlad

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Investigating the knowledge attitude and practice of evidence based medicine education in Sudanese medical students: a cross sectional study by Mohammed Hammad Jaber Amin, Mohammed Haydar Awad, Elmontasirbillah Salah Mohamed Ginawi, Amjed Siddig Khalid Mohammed, Eltayep Hasab Elrasoul Noureldaiem Ibrahim, Ola Yaser Mohammed Yassen, Leina Elfatih Salah Mohamed Ali Elomeiri, Aseel Hisham Mohamed Abdelhalim Hakim Hussain, Tasneem Abdelrahman Eltahir, Fatima Saif Alyazal Ahmed Mohmmed, Rayan Abdalla Elawad Wedatalla, Khaild Hayder Awad, Rayan Kamal eldin Mahgoub, Abdalazez Mohamed Ali Karar, Ayat Yousif Mohammed Saeed, Asma Eltayeb Abdalla Mohamed, Rawan Salah Mohamed Ginawi, Fatin Mohamed Kaidan Sidar, Reham Rrdwan Abdalrab Saifalsorori, Othman Ibrahim Abdullah Osman, Mohammed Adil Ibrahim Nouri, Manasik Adam Ahmed Mohamed, Nadreen Babikir Mohammad Ibrahim, Maha Mujtaba Mahmoud Mohamed, Abd Elrahman Ahmed Bashir Mohamed, Faris Mohamed AbdAllah MohamedAhmed, Mohammad Rabie Mohammad Hassan, Shahd Abdelkhalig Abdelrahman Mohamed, Hafiz Elhadi Bashar Hadi, Hanan Mohamed Naeim Gandour Gandour, Nirmeen Ali Farah Ahmed, Noon Mohamed El-Fatih Ahmed, Maria Mohammed AlMogtaba AbdElaziz Osman, Sara Elmuntasir Ibrahim Elhadi

“…Abstract Background Evidence-based medicine (EBM) is “the conscientious, explicit, and judicious use of the current best evidence in making decisions about the care of individual patients. …”
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Identity Hides in Darkness: Learning Feature Discovery Transformer for Nighttime Person Re-Identification by Xin Yuan, Ying He, Guozhu Hao

“…To this end, we propose a novel nighttime person Re-ID method, termed Feature Discovery Transformer (FDT), explicitly capturing the pedestrian identity information hidden in darkness at night. …”
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Feature dependence graph based source code loophole detection method by Hongyu YANG, Haiyun YANG, Liang ZHANG, Xiang CHENG

“…Given the problem that the existing source code loophole detection methods did not explicitly maintain the semantic information related to the loophole in the source code, which led to the difficulty of feature extraction of loo-phole statements and the high false positive rate of loophole detection, a source code loophole detection method based on feature dependency graph was proposed.First, extracted the candidate loophole statements in the function slice, and gen-erated the feature dependency graph by analyzing the control dependency chain and data dependency chain of the candi-date loophole statements.Secondly, the word vector model was used to generate the initial node representation vector of the feature dependency graph.Finally, a loophole detection neural network oriented to feature dependence graph was constructed, in which the graph learning network learned the heterogeneous neighbor node information of the feature de-pendency graph and the detection network extracted global features and performed loophole detection.The experimental results show that the recall rate and F1 score of the proposed method are improved by 1.50%～22.32% and 1.86%～16.69% respectively, which is superior to the existing method.…”
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Feature dependence graph based source code loophole detection method by Hongyu YANG, Haiyun YANG, Liang ZHANG, Xiang CHENG

“…Given the problem that the existing source code loophole detection methods did not explicitly maintain the semantic information related to the loophole in the source code, which led to the difficulty of feature extraction of loo-phole statements and the high false positive rate of loophole detection, a source code loophole detection method based on feature dependency graph was proposed.First, extracted the candidate loophole statements in the function slice, and gen-erated the feature dependency graph by analyzing the control dependency chain and data dependency chain of the candi-date loophole statements.Secondly, the word vector model was used to generate the initial node representation vector of the feature dependency graph.Finally, a loophole detection neural network oriented to feature dependence graph was constructed, in which the graph learning network learned the heterogeneous neighbor node information of the feature de-pendency graph and the detection network extracted global features and performed loophole detection.The experimental results show that the recall rate and F1 score of the proposed method are improved by 1.50%～22.32% and 1.86%～16.69% respectively, which is superior to the existing method.…”
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The influence of a vegan diet on body composition, performance and the menstrual cycle in young, recreationally trained women– a 12-week controlled trial by Eduard Isenmann, Isabella Trojak, Alessio Lesch, Jan Schalla, Tim Havers, Patrick Diel, Stephan Geisler

“…The training habits were not explicitly specified, but should not be changed over the entire period. …”
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Modeling K12 Teachers’ Online Teaching Competency and Its Predictive Relationship with Performance—A Mixed-Methods Study Based on Behavioral Event Interviews by Jun Tian, Wenhui Tian

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Interpreting Covid-19 Tests and the Uncertainty by Bayesian Methodology by Tomáš Karel

“…Employing Bayesian simulations for posterior predictive values can reduce diagnostic errors and improve public health outcomes by upgrading the performance of RATs and explicitly propagating posterior uncertainty in clinical diagnosis, as described in this study.…”
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Multi-pulse Fourier codes for bit transmission at the quantum limit by Matteo Rosati

“…Bit-transmission can be enhanced by the use of quantum detection techniques, realizing a joint-detection receiver (JDR) that is able to decode transmitted signals via a collective operation and achieve the Holevo channel capacity. Explicit JDR designs proposed so far employ the Hadamard or Fourier transform to perform a phase-to-intensity translation of the information encoding, effectively falling in the class of on-off-keying (OOK) modulation techniques; they improve over classical decoders but fall short of the Holevo capacity, particularly at large signal mean photon number $n\gtrsim1$ . …”
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Estimation of genetic admixture proportions via haplotypes by Seyoon Ko, Eric M. Sobel, Hua Zhou, Kenneth Lange

“…The present paper explores the option of explicitly incorporating haplotypes in ancestry estimation. …”
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MHOE-DETR: A Ship Detection Method for Small and Fuzzy Targets Based on Satellite Remote Sensing Image Data by Zhuhua Hu, Xiyu Fan, Yaochi Zhao, Wei Wu, Jie Liu

“…In order to address these issues, we propose the following solutions. A hybrid explicit spatial prior MH-Net network based on Manhattan distance is designed. …”
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