Innovative capacity building strategies for sustainable disaster risk management: A systematic review, conceptual framework, and future research directions by Saputra Nika, Ekha Putera Roni, Zetra Aidinil, Azwar

“…Findings show that advancements in machine learning, Geographic Information Systems (GIS), and Information and Communication Technologies (ICT) significantly enhance DRM, particularly in risk assessment, early warning systems, and disaster response. …”
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Rolling bearing fault diagnosis based on parameter optimized VMD and improved GoogLeNet by LI Haoran, LIU Deping

“…ObjectiveThe application of deep learning methods in the field of rolling bearing fault diagnosis is very effective, but traditional neural networks cannot extract features at multiple scales due to the use of a single scale convolution kernel, and do not consider the importance of different features in fault diagnosis. …”
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In Sharing We Trust. Taking Advantage of a Diverse Consortium to Build a Transparent Data Service in Catalonia by Clara Llebot, Mireia Alcalá, Lluís M. Anglada i de Ferrer

“…The process also creates a community of practitioners that develop expertise together with the help of professional development opportunities organized by CSUC, like recurrent self-learning labs focused on data curation tools, techniques and processes. …”
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Adult Hippocampal Neurogenesis in Alzheimer’s Disease: An Overview of Human and Animal Studies with Implications for Therapeutic Perspectives Aimed at Memory Recovery by Stefano Farioli-Vecchioli, Valentina Ricci, Silvia Middei

“…Newborn neurons integrate into existing neuronal networks, where they play a key role in hippocampal functions, including learning and memory. In the ageing brain, neurogenic capability progressively declines while in parallel increases the risk for developing Alzheimer’s disease (AD), the main neurodegenerative disorder associated with memory loss. …”
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Natura, architektura i zabawa jako źródła przeżyć estetycznych i odkryć geometrycznych dzieci – badania w działaniu by Barbara Bilewicz-Kuźnia, Małgorzata Centner-Guz

“…She claimed that for a child, learning is a natural process, occurring spontaneously not thanks to passive listening, but thanks to active contact with the environment. …”
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HYEI: A New Hybrid Evolutionary Imperialist Competitive Algorithm for Fuzzy Knowledge Discovery by D. Jalal Nouri, M. Saniee Abadeh, F. Ghareh Mohammadi

“…The performance of HYEI has been evaluated by using several benchmark datasets from the UCI machine learning repository. The classification accuracy attained by the proposed algorithm has the highest classification accuracy in 6 out of the 7 dataset problems and is comparative to the classification accuracy of the 5 other test problems, as compared to the best results previously published.…”
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Effect of Vocal Nerve Section on Song and ZENK Protein Expression in Area X in Adult Male Zebra Finches by Congshu Liao, Dongfeng Li

“…Area X is an important nucleus for learning and stabilizing birdsong. ZENK expression is higher in Area X compared to that in other vocal nuclei when birds are singing. …”
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Simulating Crowd Evacuation in a Social Force Model with Iterative Extended State Observer by Juan Wei, Wenjie Fan, Zhongyu Li, Yangyong Guo, Yuanyuan Fang, Jierui Wang

“…The information from previous process can be used to modify the current evacuation control information to achieve a better evacuation effect, and iterative learning control can achieve an effective prediction of the expected path within a limited running time. …”
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Exploring α−ψ−ϕ contractive mapping: novel fixed point theorems in complete b-metric spaces [version 2; peer review: 2 approved, 1 approved with reservations] by Maysoon Qousini, Berhanu Seboka, Fikadu Tesgera Tolasa, Gudeta Hanchalu, Nasir Ali, Tamene Raji

“…These findings provide deeper insights into the structure of b-metric spaces and open avenues for further applications in fields such as optimization and machine learning.…”
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Multi-Objective Optimization of Injection Parameters and Energy Consumption Based on ANN-Differential Evolution by Devic Oktora, Yu-Hung Ting, Sukoyo

“…Unlike classic linear modeling techniques like simple regression, many machine learning (ML) models have the ability to adjust to the nonlinear behaviors and interactions between input and output parameters. …”
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A Lightweight Laser Chip Defect Detection Algorithm Based on Improved YOLOv7-Tiny by HU Wei, ZHAO Jumin, LI Dengao

“…In this study, a lightweight laser chip defect detection algorithm based on an improved YOLOv7-Tiny is proposed, aiming at addressing the high computational and parameter demands of deep learning applications in defect detection. [Methods] By employing a lightweight convolutional neural network as the feature extraction backbone and integrating multi-branch reparameterized convolution blocks, this algorithm not only significantly reduces resource consumption but also enhances feature representation capabilities. …”
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Bearing Fault Diagnosis Method Based on Multidomain Heterogeneous Information Entropy Fusion and Model Self-Optimisation by Renwang Song, Xiaolu Bai, Rui Zhang, You Jia, Lihu Pan, Zengshou Dong

“…Nineteen key model parameters that were required for HSMSF construction were selected by adaptive optimisation using the chaos elitist modified sparrow search algorithm (CEI-SSA), and a self-learning diagnostic model that is suitable for multiple detection points was constructed. …”
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UAV selection for high-speed train communication using OTFS modulation by Ehab Mahmoud Mohamed, Sherief Hashima

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Fast Local Laplacian-Based Steerable and Sobel Filters Integrated with Adaptive Boosting Classification Tree for Automatic Recognition of Asphalt Pavement Cracks by Nhat-Duc Hoang, Quoc-Lam Nguyen

“…This study proposes an alternative for automating the periodic surveys of pavement condition by means of image processing and machine learning. Advanced image processing techniques including fast local Laplacian filter, Sobel filter, steerable filter, and projection integral are employed for image enhancement and analysis to extract useful features from digital images. …”
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Nilai-Nilai Pendidikan Dalam Sholat Berjamaah Bagi Santri Putra Di Ponpes Al-Ikhlas by Muhammad Yunus, Ahmad Taufik, Wisnu Adi Witjoro, Ahmad Ferdiansyah

“…The result of this study is that pesantren education is a forum for Islamic education and learning for the next generation under the guidance of ustad or kiyai which is followed by students as the main activity. …”
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Hybrid Genetic Grey Wolf Algorithm for Large-Scale Global Optimization by Qinghua Gu, Xuexian Li, Song Jiang

“…Firstly, the whole population using Opposition-Based Learning strategy is initialized. Secondly, the selection operation is performed by combining elite reservation strategy. …”
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Prediction of Quantitative Traits Using Common Genetic Variants: Application to Body Mass Index by Sunghwan Bae, Sungkyoung Choi, Sung Min Kim, Taesung Park

“…Recently, many disease prediction models based on penalized regression or statistical learning methods were proposed using candidate causal variants from significant single-nucleotide polymorphisms of GWASs. …”
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Improving Quality Technological Education Using Web Systems Management Media by Hassan Bediar Hashim, Abdul Razzaq Ali Mohammad

“…The purpose of the research is to learn about the impact of Media use of Information and Communication Technology in improving the quality of the teaching process in the classroom (interactive classroom / interactive learning). …”
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Human‐Induced Climate Change Intensifies Extreme Precipitation Events in Central China's Urban Areas by Yufan Chen, Shuyu Zhang, Hong Wang, Deliang Chen, Junguo Liu

“…Using advanced techniques such as deep learning and optimal fingerprinting, this study identifies and analyzes the physical mechanisms behind the extreme precipitation. …”
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Improved marine predators algorithm for engineering design optimization problems by Ye Chun, Xu Hua, Chen Qi, Ye Xin Yao

“…By introducing an adaptive weight adjustment strategy and a dynamic social learning mechanism, this study significantly improves the encounter frequency and efficiency between predators and preys in marine ecosystems. …”
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