EDUCATIONAL ROBOTS IN TEACHERS’ EDUCATION by Danimir Mandić, Gordana Miščević, Jelica Babić, Sofija Matović

“…The contemporary educational paradigm, which brings learning outcomes and competencies to the foreground, puts special emphasis on digital competencies. …”
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Sustainable crop recommendation system using seasonally adaptive recursive spectral convolutional neural network for responsible agricultural production by Gopinath Selvaraj, Sakthivel Kuppusamy, Menaka Aswathanarayanan

“…Integrating deep learning in agriculture offers new pathways for sustainable crop recommendation and yield prediction, aiding decision-making processes such as optimal planting times and crop selection. …”
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Esearch on an improved particle swarm optimization algorithm for inversion of element yield in pulse neutron gamma formation element logging by Xie Bo, Zhang Lijiao, Xie Shangping

“…During the inversion process, relevant parameters such as the objective function, inertia weight factor, and learning factor are designed and optimized to make the particle swarm optimization algorithm more suitable for gamma spectrum signal processing, avoiding local extremum problems during the optimization process and improving the accuracy of element yield inversion. …”
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Neural Network-Based Analysis of Forest Fire Aftermath in Class-Imbalanced Remote Sensing Earth Image Classification by V. Hnatushenko, V. Hnatushenko, V. Hnatushenko, D. Soldatenko

“…Traditional machine learning algorithms in particular have limitations in dealing with sample imbalance. …”
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Optimising the Selection of Input Variables to Increase the Predicting Accuracy of Shear Strength for Deep Beams by Mohammed Majeed Hameed, Faidhalrahman Khaleel, Mohamed Khalid AlOmar, Siti Fatin Mohd Razali, Mohammed Abdulhakim AlSaadi

“…Four models were used in this study: locally weighted linear regression (LWLR) based on the radial basis kernel function, multiple linear regression (MLR), extreme learning machine (ELM), and random forest (RF). …”
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Landscape of essential growth and fluconazole-resistance genes in the human fungal pathogen Cryptococcus neoformans. by R Blake Billmyre, Caroline J Craig, Joshua W Lyon, Claire Reichardt, Amy M Kuhn, Michael T Eickbush, Sarah E Zanders

“…Using this approach, we demonstrate a role for mitochondrial function in fluconazole sensitivity, such that tuning down many essential mitochondrial genes via 5' insertions can drive resistance to fluconazole. …”
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Classification of Review Text using Hybrid Convolutional Neural Network and Gated Recurrent Unit Methods by Fiqih Fathor Rachim, Auli Damayanti, Edi Winarko

“…The CNN process includes the convolution calculation, the calculation of the Rectified Linear Unit (ReLU) activation function, and the pooling stage. The extraction results in the CNN process are continued in the GRU process. …”
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Methodologies for Improved Optimisation of the Derivative Order and Neural Network Parameters in Neural FDE Models by Cecília Coelho, M. Fernanda P. Costa, Oliver Niggemann, Luís L. Ferrás

“…One approach is based on regulating the gradient magnitude of the loss function with respect to <inline-formula><math display="inline"><semantics><mi>α</mi></semantics></math></inline-formula>, encouraging more stable and effective updates. …”
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Residual Vision Transformer and Adaptive Fusion Autoencoders for Monocular Depth Estimation by Wei-Jong Yang, Chih-Chen Wu, Jar-Ferr Yang

“…Lastly, the model is trained using a loss function that aligns with human perception to enable it to focus on the depth values of foreground objects. …”
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Pre-existing weakness is critical for the occurrence of postoperative cognitive dysfunction in mice of the same age. by Yujie Tang, Xueqin Wang, Shuibing Zhang, Shangchun Duan, Wenxiang Qing, Gong Chen, Feng Ye, Yuan Le, Wen Ouyang

“…Partial hepatolobectomy induced obvious impairments in executive function, learning and memory in LPS pretreated mice after surgery, but not in normal mice of the same age. …”
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Neural network implementation of model predictive control with stability guarantees by Arthur Khodaverdian, Dhruv Gohil, Panagiotis D. Christofides

“…This work explores the use of supervised learning on data generated by a model predictive controller (MPC) to train a neural network (NN). …”
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Bilingual Identity Construction through Social Media: A Study of English Influenced Code Mixing by Abdul Rahman, Gunawan Gunawan, Dian Riani Said, Mardi Mardi

“…The findings reveal that code-mixing practices on social media reflect complex socio-cultural dynamics and function as an effective communication strategy as well as a means of constructing bilingual identity in the digital era. …”
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GPCRs: The most promiscuous druggable receptor of the mankind by Khaled Alhosaini, Asim Azhar, Asma Alonazi, F Al-Zoghaibi

“…Examples of daily biological functions include neuronal communication and neurotransmission in the process of learning and memory, secretion (hormones, sweat, and saliva), muscle contraction, cellular growth, differentiation and migration during wound healing, and immunity to fight infections. …”
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TARGE: large language model-powered explainable hate speech detection by Muhammad Haseeb Hashir, Memoona, Sung Won Kim

“…However, existing deep learning models for hate speech detection typically function as black-box systems, providing binary classifications without interpretable insights into their decision-making processes. …”
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Trans-synaptic molecular context of NMDA receptor nanodomains by Michael C. Anderson, Poorna A. Dharmasri, Martina Damenti, Sarah R. Metzbower, Rozita Laghaei, Thomas A. Blanpied, Aaron D. Levy

“…Abstract Tight coordination of spatial relationships between protein complexes is required for cellular function. In neuronal synapses, proteins responsible for neurotransmission form subsynaptic nanoclusters whose trans-cellular alignment modulates synaptic signal propagation. …”
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LS-YOLO: A Lightweight, Real-Time YOLO-Based Target Detection Algorithm for Autonomous Driving Under Adverse Environmental Conditions by Cheng Ju, Yuxin Chang, Yuansha Xie, Dina Li

“…Additionally, an improved ATFL-Wasserstein loss function is employed to enhance the learning capability for small objects and hard samples. …”
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Exploiting Contextual Word Embedding of Authorship and Title of Articles for Discovering Citation Intent Classification by Muhammad Roman, Abdul Shahid, Muhammad Irfan Uddin, Qiaozhi Hua, Shazia Maqsood

“…We further investigated the performance of various machine-learning techniques on the numerical representation of text. …”
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Nuclear Morphological Characteristics in Breast Cancer: Correlation with Hormone Receptor and Human Epidermal Growth Factor Receptor 2 by Jiayu Li, Yehan Zhou, Yunzhu Li, Yang Liu

“…HR and HER2 status not only might be predicted in cytological samples, but some specific nuclear morphological features might have potential value to help us understand molecular function and predict more information.…”
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Fault Line Selection of Single Phase Grounding Based on Wavelet Packet Full Frequency Analysis and OS-ELM by JI Wen-lu, ZHAO Xiao-long, ZHANG Ming, YANG Hong-lei, WENG Jia-ming

“…The simulation results show that the more effective fault characteristics can be obtained using wavelet packet full frequency analysis，and OS-ELM is superior to the back propagation ( BP) network，radial basis function network ( ＲBF) and support vector machine ( SVM) in test time and diagnostic accuracy. …”
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Quantum chemical calculation dataset for representative protein folds by the fragment molecular orbital method by Daisuke Takaya, Shu Ohno, Toma Miyagishi, Sota Tanaka, Koji Okuwaki, Chiduru Watanabe, Koichiro Kato, Yu-Shi Tian, Kaori Fukuzawa

“…Our dataset will be useful for functional analyses and machine learning based on the physicochemical property values of proteins.…”
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