Hybrid CNN-LSTM Model with Custom Activation and Loss Functions for Predicting Fan Actuator States in Smart Greenhouses by Gregorius Airlangga, Julius Bata, Oskar Ika Adi Nugroho, Boby Hartanto Pramudita Lim

“…Experimental results demonstrate the superior performance of the hybrid CNN-LSTM model, achieving an accuracy of 0.9992, precision of 0.9989, recall of 0.9996, and an F1 score of 0.9992, significantly outperforming traditional machine learning methods such as Random Forest and Gradient Boosting, as well as standalone CNN and LSTM architectures. …”
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The use of frequency dictionaries in the process of the development of the English language lexical competence of students in IT fields by M. V. Kharina

“…Objective quantitative indicators of relevance of lexical units in everyday life situations are presented in frequency dictionaries; however, their role in the process of professionally oriented foreign language teaching has not been sufficiently studied.The purpose of the research is to increase the efficiency of the process of development of the English language lexical competence of students in IT fields by supporting and actively using electronic frequency dictionaries as additional means of the vocabulary expansion.Materials and methods of research include the analysis of the problem of development of the English language lexical competence of students of IT directions, modeling of the process of work with frequency dictionaries in the learning process, the practical implementation of the developed model, the pedagogical experiment and analysis of its results. …”
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Exploration of the relationships between the information and communication technology (ICT) and the education system in Morocco by Abdelkarim Taam, Amine Amar, Brahim Hmedna, Khalid Benabbes, El Menzhi Kaoutar, Rachid Daoudi, Adil El Makrani

“…These findings mean that teachers should always be ready and well-equipped, in terms of ICT competencies and positive attitude to provide ICT-based learning opportunities for students to improve their learning quality. …”
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Integrating structured and unstructured data for livestock price forecasting: a sustainability study from South Korea by Yifan Zhu, Yifan Zhu, Yifan Zhu, Tserenpurev Chuluunsaikhan, Jong-Hyeok Choi, Aziz Nasridinov

“…For sentiment analysis, the ITF-IDF approach achieved F1-scores of 0.74 and 0.79 for negative and positive sentiment classifications, respectively. In terms of price prediction, the proposed AM-LSTM model outperformed traditional statistical methods, as well as machine learning and deep learning baselines, achieving improvements in MAE ranging from 43.0 to 87.4%. …”
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Building resilience, emotional regulation, kindness, and critical thinking in the digital age: An evaluation of the Superpowers Program on Philippine kindergarteners by Rebekah Luo, Sundance Zhihong Sun, Emma Carter, Therese N Hopfenbeck

“…The program focused on developing 12 character strengths that every child needs to navigate their online and offline lives. Employing a mixed-methods approach, the study utilized a single-group pre-post design to evaluate teachers’ and parents’ perceived impact of the program on the development of four selected character strengths (resilience, emotional regulation, kindness and critical thinking), based on quantitative and qualitative data. …”
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Comparing AI/ML approaches and classical regression for predictive modeling using large population health databases: Applications to COVID-19 case prediction by Lise M. Bjerre, Cayden Peixoto, Rawan Alkurd, Robert Talarico, Rami Abielmona

“…Background: Research comparing artificial intelligence and machine learning (AI/ML) methods with classical statistical methods applied to large population health databases is limited. …”
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The impact of migrant work experience on the adoption behavior of green production technologies among new professional farmers: evidence from Jiangxi and Guangdong provinces, China by Xian Kai Lei, Xian Kai Lei, Wen Li Zhao, Gui Hua Zhang, Yong Xin Chen

“…Based on the analytical framework of imprinting theory, this study employs survey data from 1,707 new professional farmers in Guangdong and Jiangxi provinces (2019–2021) and econometric methods to empirically examine the impact and mechanisms of migrant work experience on their adoption of green production technologies. …”
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Analysis of Etymonyms in Solving Linguistic and Cross-Cultural Problems of Teaching Russian as a Foreign Language by T. G. Arkadyeva

“…The importance of a methodical understanding of the presentation of the lexical material based on the etymological principle is stressed. …”
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Deep Neural Networks for Estimating Regularization Parameter in Sparse Time–Frequency Reconstruction by Vedran Jurdana

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ParaAntiProt provides paratope prediction using antibody and protein language models by Mahmood Kalemati, Alireza Noroozi, Aref Shahbakhsh, Somayyeh Koohi

“…On the other hand, machine learning-based methods, besides relying on structural data, entail descriptor computation, consideration of diverse physicochemical properties, and feature engineering. …”
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RETRACTED ARTICLE: Chinese English language learners’ vocabulary retention: Investigating the effectiveness of neuro/metacognitive and socio-cultural strategies by Wei Hu, Yipeng Luo

“…This suggests the efficacy of these innovative methods in enhancing English language learning, highlighting their potential for broader integration into EFL instruction.…”
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Switching Mediterranean Consumers to Mediterranean Sustainable Healthy Dietary Patterns (SWITCHtoHEALTHY): Study Protocol of a Multicentric and Multi-Cultural Family-Based Nutritio... by Lorena Calderón-Pérez, Djamel Rahmani, Metin Güldaş, Asmaa El Hamdouchi, Simona Mincione, Noemí Boqué

“…In addition, a set of activities for adolescents based on a learning-through-play approach to be carried out within the family and at the research centers will be developed through co-creation. …”
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AmpHGT: expanding prediction of antimicrobial activity in peptides containing non-canonical amino acids using multi-view constrained heterogeneous graph transformer by Yongcheng He, Xu Song, Hongping Wan, Xinghong Zhao

“…Results A novel deep learning model, termed AmpHGT, was developed based on heterogeneous graphs’ representation of peptides. …”
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Analisis Sentimen Pada Sosial Media Twitter Terhadap Kualitas Jaringan Internet Telkomsel Menggunakan Ensemble K-Nearest Neighbour -Support Vector Machine by Muchammad Farchan Fachrudin, Cucun Very Angkoso, Doni Abdul Fatah

“…This sentiment analysis research uses machine learning algorithm models, namely K-Nearest Neighbor, Support Vector Machine, and KNN-SVM Ensemble which are majority vote-based and average-based. …”
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Approaches to resource management of a modern university in the context of digitalisation by E. M. Akhmetshin, V. L. Vasilev

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Cerebral gray matter volume identifies healthy older drivers with a critical decline in driving safety performance using actual vehicles on a closed-circuit course by Handityo Aulia Putra, Kaechang Park, Kaechang Park, Fumio Yamashita

“…Regional GM volumes were quantified using voxel-based morphometry of MRI scans. Feature selection and classification were performed using the Random Forest machine learning algorithm, optimized to identify the most predictive GM regions.ResultsOut of 114 GM regions, eleven were selected as optimal predictors: left angular gyrus, frontal operculum, occipital fusiform gyrus, parietal operculum, postcentral gyrus, planum polare, superior temporal gyrus, and right hippocampus, orbital part of the inferior frontal gyrus, posterior cingulate gyrus, and posterior orbital gyrus. …”
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A Hybrid Multi-Strategy Differential Creative Search Optimization Algorithm and Its Applications by Yuanyuan Zhang, Longquan Yong, Yijia Chen, Jintao Yang, Mengnan Zhang

“…A novel position update mechanism is introduced based on the original equation, enabling individuals to effectively escape from local optima during the iteration process. …”
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IRnet: Immunotherapy response prediction using pathway knowledge-informed graph neural network by Yuexu Jiang, Manish Sridhar Immadi, Duolin Wang, Shuai Zeng, Yen On Chan, Jing Zhou, Dong Xu, Trupti Joshi

“…Our goal is to introduce a novel deep-learning method to predict ICI treatment responses in cancer patients. …”
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Designing a defensive silence failure model of creative employees in organizations by Azam Khosravi, karam khalili, Esfandyar Mohammadi

“…The 20 main themes that have been identified as influencing factors on breaking the defensive silence of creative employees in government organizations are: facilitating policies, motivational factors, job security, collaborative management, governance of meritocracy, leadership style, improvement of individual skills, organizational learning., strengthening professional ethics, quality of relationships, health of relationships, mutual trust, spirituality in the workplace, creative and critical atmosphere, cooperation culture, consulting and positive organizational psychology, reducing psychological pressures, creating attitudinal changes, changing organizational strategies, and strengthening strategic thinking. …”
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Enhanced framework for credit card fraud detection using robust feature selection and a stacking ensemble model approach by Rahul Kumar Gupta, Asmaul Hassan, Samir Kumar Majhi, Nikhat Parveen, Abu Taha Zamani, Raju Anitha, Binayak Ojha, Abhinav Kumar Singh, Debendra Muduli

“…This study introduces an innovative machine learning-based fraud detection framework that incorporates sophisticated preprocessing methods like SMOTE-ENN for class imbalance mitigation, autoencoder for dimensionality reduction, and TOPSIS for optimal feature selection. …”
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