University english teaching evaluation using artificial intelligence and data mining technology by Qiuyang Huang, Wenling Li, Mohd Mokhtar bin Muhamad, Nur Raihan binti Che Nawi, Xutao Liu

“…This capitalizes on its powerful feature extraction and sequence modeling capabilities to gain a comprehensive understanding and precise evaluation of students’ English proficiency. …”
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K-LM: Knowledge Augmenting in Language Models Within the Scholarly Domain by Vivek Kumar, Diego Reforgiato Recupero, Rim Helaoui, Daniele Riboni

“…The use of superior algorithms and complex architectures in language models have successfully imparted human-like abilities to machines for specific tasks. But two significant constraints, the available training data size and the understanding of domain-specific context, hamper the pre-trained language models from optimal and reliable performance. …”
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Temporal changes in soil organic carbon and other near‐surface soil properties under native tallgrass prairie in the Arkansas River Valley by Katie Jansson, Kristofor R. Brye, Mike Richardson, Lisa S. Wood

“…Native prairies have long been known for their soil C sequestration abilities, but the full extent of their sequestration capacity is not completely understood, particularly across diverse regions. …”
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Associations of Vocal Features, Psychiatric Symptoms, and Cognitive Functions in Schizophrenia by Natsuyama T, Chibaatar E, Shibata Y, Okamoto N, Cruz Victorino JN, Ikenouchi A, Shibata T, Yoshimura R

“…Our findings showed that poorer cognitive abilities, like memory and attentional control, negatively correlated with certain vocal characteristics. …”
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Parameter-Efficient Adaptation of Large Vision—Language Models for Video Memorability Prediction by Iván Martín-Fernández, Sergio Esteban-Romero, Fernando Fernández-Martínez, Manuel Gil-Martín

“…In particular, the Quantized Low-Rank Adaptation (QLoRA) technique is employed to fine-tune the Qwen-VL model with memorability-related data extracted from the Memento10k dataset. In light of existing research, we propose a particular methodology that transforms Qwen-VL from a language model to a memorability score regressor. …”
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Decoding Intrinsic Fluctuations of Engagement From EEG Signals During Fingertip Motor Tasks by Bohao Tian, Shijun Zhang, Dinghao Xue, Sirui Chen, Yuru Zhang, Kaiping Peng, Dangxiao Wang

“…A machine learning-based neural decoder is then established to classify each trial into high-flow or low-flow using spectral power and coherence features extracted from the EEG signals. Cross-validation reveals that the classification accuracy of the neural decoder can exceed 80%. …”
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Effect of Fampridine on cognition in patients with multiple sclerosis (MS): a systematic review and meta-analysis by Abdorreza naser moghadasi, Narges Ebrahimi, Sara Bagherieh, Aida Mohammadi, Mohammad ali Sahraian, Mahsa Ghajarzadeh

“…Fampridine is used to improve walking abilities in subjects with MS while it is also used for improving cognition, although the results are heterogeneous. …”
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Effectiveness of Gagné’s 9 Events of Instruction in health professions education: a systematic review and meta-analysis by Yue Li, Zhengjv Liang, Zhongyan Li, Yuhuan Yu, Qing Yang, Xiao Li

“…ObjectiveThis review assesses the effectiveness of Gagné’s 9 Events of Instruction in improving theoretical scores and clinical practice abilities in medical education.MethodsThis study followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. …”
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Bioactivity, Efficacy, and Safety of a Wound Healing Ointment With Medicinal Plant Bioactives: In Vitro and In Vivo Preclinical Evaluations by Juliana Ferreira Floriano, Daniel Rodrigues, Rie Ohara, Nara Lígia Martins Almeida, Vanessa Soares Lara, Patricia Sartorelli, Carlos Frederico de Oliveira Graeff, Simone dos Santos Grecco, Alejandra Hortencia Miranda González, Paulo Henrique Perlatti D’Alpino

“…The use of natural compounds with anti-inflammatory, antibacterial, and collagen-synthesizing abilities holds promise for wound healing. This in vitro and in vivo preclinical study aimed to assess the safety and effectiveness of a wound healing ointment containing bioactive ingredients derived from medicinal plants (extracts, essential oils, and vegetable oils). …”
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Admissions in the age of AI: detecting AI-generated application materials in higher education by Yijun Zhao, Alexander Borelli, Fernando Martinez, Haoran Xue, Gary M. Weiss

“…Our research is based on 3755 LORs and 1973 SOIs extracted from the application records of Fordham University’s Master’s programs in Computer Science and Data Science. …”
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An integration of ensemble deep learning with hybrid optimization approaches for effective underwater object detection and classification model by G. Abirami, S. Nagadevi, J. D. Dorathi Jayaseeli, T. Prabhakara Rao, R S M Lakshmi Patibandla, Rajanikanth Aluvalu, K Srihari

“…The backbone of EfficientNetB7, which has an attention mechanism, is employed for feature extraction. Furthermore, the YOLOv9-based object detection is utilized. …”
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Groundwater Level Prediction and Earthquake Precursor Anomaly Analysis Based on TCN-LSTM-Attention Network by Xinfang Chen, Lijia Yang, Xin Liao, Hanqing Zhao, Shiwei Wang

“…This paper proposes a TCN-LSTM-Attention model that combines the advantages of effective feature extraction with TCN and capturing complex temporal dependencies with LSTM. …”
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Co-design for stroke intervention development: Results of a scoping review. by Hardeep Singh, Natasha Benn, Agnes Fung, Kristina M Kokorelias, Julia Martyniuk, Michelle L A Nelson, Heather Colquhoun, Jill I Cameron, Sarah Munce, Marianne Saragosa, Kian Godhwani, Aleena Khan, Paul Yejong Yoo, Kerry Kuluski

“…Data relating to the research objectives were extracted, analyzed, and reported numerically and descriptively.…”
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Prevalence of Attention-Deficit Hyperactivity Disorder in India: A Systematic Review and Meta-Analysis by Johny Kutty Joseph, Babitha K. Devu

“…Each individual study was assessed for risk bias using the “Quality assessment checklist for prevalence studies” extracted from Hoy et al. Pooled Prevalence estimates was calculated with random effect model. …”
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Thermal Runaway Warning of Lithium Battery Based on Electronic Nose and Machine Learning Algorithms by Zilong Pu, Miaomiao Yang, Mingzhi Jiao, Duan Zhao, Yu Huo, Zhi Wang

“…To assess the impact of time duration sensor data on the results, we selected four time windows of different length and extracted the corresponding sensor response data for subsequent processing. …”
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Bio inspired optimization techniques for disease detection in deep learning systems by A. Ashwini, Vanajaroselin Chirchi, S. Balasubramaniam, Mohd Asif Shah

“…Deep learning models autonomously develop feature extraction abilities but require substantial computational resources and extensive datasets to yield significant abstraction methods. …”
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Vitamin C influences antioxidative, anti-inflammatory and wound healing markers in smokers’ gingival fibroblasts in vitro by Ruaa Alyami, Reham Al Jasser, Fahad Ali Alshehri, Nouf Alshibani, Sarah Bin Hamdan, Riham Abdulaziz Alyami, Abdurahman A. Niazy

“…Materials and Methods: hGFs were extracted from clinically healthy periodontium sites of adult male subjects. …”
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Marine-Derived Antioxidants: A Comprehensive Review of Their Therapeutic Potential in Oxidative Stress-Associated Diseases by Ruiqiu Zhang, Yuke Ren, Tianqi Ren, Yue Yu, Bo Li, Xiaobing Zhou

“…Despite these promising findings, challenges remain in the field, including the need for improved extraction and purification technologies, more comprehensive activity evaluation systems, and further research into the safety and bioavailability of these compounds. …”
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<i>Plectranthus amboinicus</i>: A Systematic Review of Traditional Uses, Phytochemical Properties, and Therapeutic Applications by Márcia Santos Filipe, Gabrielle Bangay, Florencia Z. Brauning, Festus Oladayo Ogungbemiro, Bernardo Brito Palma, Ana María Díaz-Lanza, Amr Hassan, Rebeca André, Patricia Rijo

“…<b>Results</b>: <i>P. amboinicus</i> extracts and essential oils exhibit significant antimicrobial activity against both Gram-positive and Gram-negative bacteria, and notable antifungal properties, particularly against dermatophytes. …”
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Psychosocial Impact of Postmastectomy Lymphedema Syndrome: Insights From a National Claims Database Analysis of Antidepressant Prescription Fills by Daniel Najafali, BS, Jennifer K. Shah, BA, BS, Thomas M. Johnstone, BS, Justin M. Camacho, MBA, Priscila C. Cevallos, BS, MS, Kometh Thawanyarat, BA, Yelissa Navarro, BS, Rahim S. Nazerali, MD, Clifford C. Sheckter, MD, MS

“…Mastectomy encounters in the Merative MarketScan Research Databases, 2007–2022, were extracted using Current Procedural Terminology codes. …”
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