Crowdsourcing to support training for public health: A scoping review. by Kadija M Tahlil, Ucheoma Nwaozuru, Donaldson F Conserve, Ujunwa F Onyeama, Victor Ojo, Suzanne Day, Jason J Ong, Weiming Tang, Nora E Rosenberg, Titi Gbajabiamila, Susan Nkengasong, Chisom Obiezu-Umeh, David Oladele, Juliet Iwelunmor, Oliver Ezechi, Joseph D Tucker

“…Crowdsourcing is increasingly used to enhance training through developing learning materials and promoting mentorship. This scoping review aims to assess the literature on crowdsourcing for training in public health. …”
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Deep Temporal Clustering of Pathological Gait Patterns in Post-Stroke Patients Using Joint Angle Trajectories: A Cross-Sectional Study by Gyeongmin Kim, Hyungtai Kim, Yun-Hee Kim, Seung-Jong Kim, Mun-Taek Choi

“…The results demonstrate the effectiveness of end-to-end deep learning-based clustering, yielding significant performance improvements without the need for manual feature extraction. …”
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Multi-omics analysis reveals that neutrophil extracellular traps related gene TIMP1 promotes CRC progression and influences ferroptosis by Yuzhao Jin, Luyu Liao, Qianping Chen, Bufu Tang, Jin Jiang, Ji Zhu, Minghua Bai

“…Method We jointly screened three major NETs genes through machine learning. Large-sample RNA transcriptome and single-cell transcriptome analysis further confirmed that TIMP1 is a core gene in NETs. …”
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SC-ResNeXt: A Regression Prediction Model for Nitrogen Content in Sugarcane Leaves by Zihao Lu, Cuimin Sun, Junyang Dou, Biao He, Muchen Zhou, Hui You

“…Compared with four classical deep learning algorithms, SC-ResNeXt exhibited superior regression prediction performance. …”
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Study on perspective taking in online discussions among university students with hearing impairments by A. A. Gareyev, Yu. V. Krasavina, E. P. Ponomarenko, A. A. Shishkina

“…Communication skills are regarded as one of the most essential competencies for deaf and hard-of-hearing (DHH) students in a digital learning environment. This importance is attributed to the unique cognitive and learning characteristics of these students. …”
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A study on the global patterns in the design and development of ventricular assist devices: a visualization approach by Ajay K. Sood, A. K. Prasada Rao

“…Future studies can be conducted to explore the use of artificial intelligence and machine learning that can learn from data about patients and then adapt as per the requirements of the patients.…”
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PlantAIM: A new baseline model integrating global attention and local features for enhanced plant disease identification by Abel Yu Hao Chai, Sue Han Lee, Fei Siang Tay, Hervé Goëau, Pierre Bonnet, Alexis Joly

“…PlantAIM aims to improve the model's ability to simultaneously learn and focus on crop-specific and disease-specific features. …”
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Confidence-Aware Embedding for Knowledge Graph Entity Typing by Yu Zhao, Jiayue Hou, Zongjian Yu, Yun Zhang, Qing Li

“…To address this problem, we propose ConfE, a novel confidence-aware embedding approach for modeling the (entity, entity type) tuples, which takes tuple confidence into consideration for learning better embeddings. Specifically, we learn the embeddings of entities and entity types in separate entity space and entity type space since they are different objects in KGs. …”
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Tripartite organization of brain state dynamics underlying spoken narrative comprehension by Lanfang Liu, Jiahao Jiang, Hehui Li, Guosheng Ding

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Teachers’ academic motivation and student procrastination behaviour: mediating effects of emotion regulation and study habits by Sidra Sarwar, Anam Nazneen Tara, Muhammad Naseem Abid, Suad Dukhaykh

“…For this purpose, the role of teachers’ academic motivation is worthwhile in shaping the learning environment and reducing procrastination, with a focus on the mediating roles of emotion regulation and study habits considered imperative. …”
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Fake News Detection and Classification: A Comparative Study of Convolutional Neural Networks, Large Language Models, and Natural Language Processing Models by Konstantinos I. Roumeliotis, Nikolaos D. Tselikas, Dimitrios K. Nasiopoulos

“…In this study, the effectiveness is investigated of advanced machine learning models—convolutional neural networks (CNNs), bidirectional encoder representations from transformers (BERT), and generative pre-trained transformers (GPTs)—for robust fake news classification. …”
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A Hybrid Artificial Neural Network and Particle Swarm Optimization algorithm for Detecting COVID-19 Patients by Alla Ahmad Hassan, Tarik A Rashid

“…Diseased people experience severe symptoms in more severe cases. such as shortness of breath, which can lead to respiratory failure and death. Machine learning techniques for detection and classification are commonly used in current medical diagnoses. …”
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A generative deep neural network for pan-digestive tract cancer survival analysis by Lekai Xu, Tianjun Lan, Yiqian Huang, Liansheng Wang, Junqi Lin, Xinpeng Song, Hui Tang, Haotian Cao, Hua Chai

“…With the rapid advancement of artificial intelligence, various machine learning algorithms have been successfully applied in this field. …”
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Classifying IoT Botnet Attacks With Kolmogorov-Arnold Networks: A Comparative Analysis of Architectural Variations by Phuc Hao do, Tran Duc Le, Truong Duy Dinh, van Dai Pham

“…This study aims to evaluate the effectiveness of Kolmogorov-Arnold Networks (KANs) and their architectural variations in classifying IoT botnet attacks, comparing their performance with traditional machine learning and deep learning models. We conducted a comparative analysis of five KAN architectures, including Original-KAN, Fast-KAN, Jacobi-KAN, Deep-KAN, and Chebyshev-KAN, against models like Multi-Layer Perceptron (MLP), Convolutional Neural Networks (CNN), Long Short-Term Memory (LSTM) networks, and Gated Recurrent Units (GRU). …”
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Data Clustering Improves Siamese Neural Networks Classification of Parkinson’s Disease by Mohamed Shalaby, Nahla A. Belal, Yasser Omar

“…In addition, applying the Siamese network can overcome the limitation of samples per class in the dataset by guiding the network to learn differences between samples rather than focusing on learning specific classes. …”
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The Effect of Task Cognitive Difficulty on Perceptual-Cognitive Indicators: Evidence on the Relationship Between Challenge Point Framework (CPF) and Cognitive Development in Table... by Taghi MM, Aghdaei M, Farsi A, Badicu G, de Sousa Fernandes MS, Yagin FH, Ardigò LP

“…But there was no significant difference between the groups.Discussion: These findings suggest that cognitive task difficulty, much like functional difficulty, aligns with predictions from the CPF, enhancing executive control and cognitive effort, and thereby supporting motor learning.Conclusion: Cognitive difficulty, like functional difficulty, takes advantage of the challenge point framework and improves cognitive–cognitive indicators.Keywords: task difficulty, attention networks, cognitive effort, challenge point, table tennis…”
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Semi-Supervised Change Detection with Data Augmentation and Adaptive Thresholding for High-Resolution Remote Sensing Images by Wuxia Zhang, Xinlong Shu, Siyuan Wu, Songtao Ding

“…Finally, an adaptive class weight (ACW) mechanism is proposed to alleviate the impact of the imbalance between the changed classes and the unchanged classes, which effectively enhances the learning ability of the model for the changed classes. …”
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Analisis Metode Cosine Similarity Pada Aplikasi Ujian Online Otomatis (Studi Kasus JTI POLINEMA) by Eka Larasati Amalia, Angelita Justien Jumadi, Irsyad Arif Mashudi, Dimas Wahyu Wibowo

“… Dalam konsep e-learning pelaksanaan ujian dilakukan secara online salah satunya ujian esai. …”
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Identification of Protein Kinase C Isoforms Involved in Type 1 Diabetic Encephalopathy in Mice by Jiayin Zheng, Yue Wang, Song Han, Yanlin Luo, Xiuli Sun, Ning Zhu, Li Zhao, Junfa Li

“…In this study, streptozotocin- (STZ-) induced diabetic mice were found to exhibit learning and memory deficits in the Morris water maze test. …”
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Perceptions and attitudes of medical students toward opioid education: A qualitative study by Angelina Luciano, Mara Schenker, Dawn L. Comeau, Courtney R. Yarbrough, Nicholas A. Giordano

“…While participants understood they had insufficient knowledge about opioid prescribing, they anticipated there would be additional learning during their residency programs. Conclusions: There is room for improvement for medical school instruction on the safe and effective use of opioids for pain management in the United States. …”
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