Rapid Recognition of Geoherbalism and Authenticity of a Chinese Herb by Data Fusion of Near-Infrared Spectroscopy (NIR) and Mid-Infrared (MIR) Spectroscopy Combined with Chemometri... by Haiyan Fu, Qiong Shi, Liuna Wei, Lu Xu, Xiaoming Guo, Ou Hu, Wei Lan, Shunping Xie, Tianming Yang

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Modeling emotional abuse based on emotional maturity and self-differentiation with the mediating role of marital intimacy by mehran sharifi, qumarth karimi, omid moradi, shokooh navabinejad

“…Data analysis was analyzed using Pearson correlation method, structural equation modeling and partial least squares (SMARTPLS-3) algorithm and SPSS-23. Results: The results indicated the fit of the general research model with the experimental data. …”
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Improving IR drop effect and power noise using digital OLED power in AMOLED display by Sanguk Lee, Byungmun Kang, DaeEun Kim

“…Additionally, The panel uniformity was successfully improved using the ELVDD voltage-based IR drop optimization algorithm. Numerically the panel pixel deviation was reduced from 31 gray to 7 gray levels at the 50gray solid pattern.…”
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The effects of lactic acid bacteria and yeast as probiotics on the performance, blood parameters, nutrient digestibility, and carcase quality of rabbits: a meta-analysis by Danung Nur Adli, Osfar Sjofjan, Mohammad Miftakhus Sholikin, Cecep. Hidayat, Dicky Tri Utama, Anuraga Jayanegara, Muhammad Halim Natsir, Yuli Frita Nuningtyas, Muhammad Pramujo, Poppy Satya Puspita

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Multiple Description Coding Using Data Hiding and Regions of Interest for Broadcasting Applications by M. Verza, N. Conci, G. Boato, F. G. B. De Natale

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Human-based metaheuristics and non-parametric learning for groundwater-prone area mapping by Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi-Niaraki, Seyedeh Zeinab Shogrkhodaei, Biswajeet Pradhan, Soo-Mi Choi

“…This study addresses these challenges by integrating human-inspired metaheuristics with non-parametric machine-learning techniques to enhance groundwater potential prediction. This research introduces a novel approach combining human-based metaheuristics—Teaching Learning Based Optimization (TLBO) and Cultural Algorithms (CA)—with non-parametric Decision Tree (DT) models. …”
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The future of spatial epidemiology in the AI era: enhancing machine learning approaches with explicit spatial structure by Nima Kianfar, Benn Sartorius, Colleen L. Lau, Robert Bergquist, Behzad Kiani

“…Research in spatial epidemiology relies on both conventional approaches and Machine- Learning (ML) algorithms to explore geographic patterns of diseases and identify influential factors (Pfeiffer & Stevens, 2015). …”
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Exploring the potential of machine learning and magnetic resonance imaging in early stroke diagnosis: a bibliometric analysis (2004–2023) by Jian-cheng Lou, Xiao-fen Yu, Jian-jun Ying, Da-qiao Song, Wen-hua Xiong

“…The most notable research hotspots currently are the optimal selection of neural imaging markers and the most suitable machine learning algorithm models.…”
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Investigation of influential environmental and climatic determinants on COVID-19 spread in India to formulate a sustainable pandemic response by Jaraline Kirubavathy K., Thulasi Bai V.

“…The COVID-19 pandemic has highlighted the need for a Sustainable Pandemic Response Strategy (SPRS), driven by scientific research and engineering principles. This study focuses on Environmental and Climatic Determinants (ECDs) that may influence the occurrence pattern of infectious diseases. …”
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Role of Artificial Intelligence and Machine Learning to Create Predictors, Enhance Molecular Understanding, and Implement Purposeful Programs for Myocardial Recovery by Frederick M. Lang, Benjamin C. Lee, Dor Lotan, Mert. R. Sabuncu, Veli K. Topkara

“…By identifying novel patterns in high-dimensional data, artificial intelligence (AI) and machine learning (ML) algorithms can enhance the identification of key predictors and molecular drivers of myocardial recovery. …”
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Distributed Improved RILOS Guidance-Based Formation Control of Underactuated ASVs for Cooperative Maritime Search by Weili Guo, Cheng Liu, Feng Xu, Ting Sun

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Scalable Clustering of Complex ECG Health Data: Big Data Clustering Analysis with UMAP and HDBSCAN by Vladislav Kaverinskiy, Illya Chaikovsky, Anton Mnevets, Tatiana Ryzhenko, Mykhailo Bocharov, Kyrylo Malakhov

“…The focus is on identifying patterns that correlate with cardiac health risks, potentially aiding in early detection and personalized care. …”
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Development and validation of machine learning-based diagnostic models using blood transcriptomics for early childhood diabetes prediction by Xin Huang, Xin Huang, Di Ouyang, Weiming Xie, Huawei Zhuang, Siyu Gao, Pan Liu, Lizhong Guo

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Spatiotemporal distribution and influencing factors of Chinese marine protected areas under a social-ecological system framework by Mingbao Chen, Mingbao Chen, Mingbao Chen, Zhibin Xu, Yuhao Wang

“…The conclusions also pertain to global nonlinear MPA development and merit future studies to deepen MPA establishment research with higher-order interactions and complex dynamics.…”
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CLUSTERING ANALYSIS FOR GROUPING SUB-DISTRICTS IN BOJONEGORO DISTRICT WITH THE K-MEANS METHOD WITH A VARIETY OF APPROACHES by Denny Nurdiansyah, Mochamad Nizar Palefi Ma'ady, Yuana Sukmawaty, Muchammad Chandra Cahyo Utomo, Tia Mutiani

“…In this case, data mining techniques can identify patterns and relationships in population data. The K-Means algorithm is a clustering technique that divides data into groups or clusters based on similar characteristics. …”
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Comparison of Geographical Traceability of Wild and Cultivated Macrohyporia cocos with Different Data Fusion Approaches by Li Wang, Qinqin Wang, Yuanzhong Wang, Yunmei Wang

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Spatial and temporal stationarity of the Laptev Sea polynyas by A. B. Timofeeva, A. V. Rubchenia, R. I. May

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GEOECOLOGICAL DIAGNOSTICS OF THE REGIONS IN THE CENTRALBLACK SOIL REGION by S. A. Kurolap, N. V. Yakovenko, V. I. Fedotov, V. B. Mikhno, L. N. Kostyleva

“…Material and methods of research. System, comparative-geographical, geoinformation, historical, statistical methods of research, as well as software packages MS Excel and Statistica have been used. …”
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La Teoría del andamiaje como herramienta de construcción del pensamiento matemático by Cesar Orlando Vargas Mantilla, Sonia Maritza Mendoza Lizcano, Wlamyr Palacios Alvarado

“…Therefore, it is necessary to analyze the teaching-learning processes, and more specifically, the construction of mathematical thinking, from an innovative and agile perspective that breaks with traditional learning patterns of repeating algorithms and implementing formulas. …”
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Augmenting TikTok shop adoption: The mediating role of Key Opinion Consumers (KOCs) in live streaming, video content, and Artificial Intelligence (AI) recommendations by Minh Thi Hong Le, Hieu Ngoc Minh Pham, Ly Thi Truc Nguyen, Thuy Thi Xuan Le, Suong Thi Mai Nguyen

“…The findings indicate that KOCs play a crucial role in mediating TikTok use patterns and uptake. This research enhances the comprehension of media use within the framework of uses and gratification, both in terms of theoretical and empirical aspects.…”
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