Structure of seed productivity of antocians containing broad beans and features of mycoflora soil under them by Yu. N. Kurkina

“…To assess the similarity of the complexes of soil micromycetes under varieties of beans, a similarity coefficient was used.Results. …”
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Discovering Genetic Interactions in Large-Scale Association Studies by Stage-wise Likelihood Ratio Tests. by Mattias Frånberg, Karl Gertow, Anders Hamsten, PROCARDIS consortium, Jens Lagergren, Bengt Sennblad

“…Despite the success of genome-wide association studies in medical genetics, the underlying genetics of many complex diseases remains enigmatic. One plausible reason for this could be the failure to account for the presence of genetic interactions in current analyses. …”
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Optimization of Sustainable Seismic Retrofit by Developing an Artificial Neural Network by Hafiz Asfandyar Ahmed, Waqas Arshad Tanoli

“…The study found that networks with one or two hidden layers provided more reliable and efficient results compared to more complex architectures, achieving a total regression value of 0.911. …”
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The Bayesian mixture expert recognition model for tobacco leaf curing stages based on feature fusion by Panzhen Zhao, Shijiang Duan, Songfeng Wang, Aihua Wang, Lingfeng Meng, Zhicheng Wang, Yingpeng Dai

“…The proposed model achieves a recognition accuracy of 93.96% on the test set, with other performance metrics surpassing those of the base models. This research efficiently captures and robustly recognizes the complex dynamic visual features of the tobacco curing process through the integration of diverse features, adaptive adjustments, and expert collaboration mechanisms, thereby enhancing the system’s adaptability and interpretability in complex environments. …”
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Influence of Yeast Interactions on the Fermentation Process and Aroma Production in Synthetic Cocoa Pulp vs. Real Mucilage Media by Lydie Besançon, Da Lorn, Christelle Kouamé, Joël Grabulos, Marc Lebrun, Angélique Fontana, Sabine Schorr-Galindo, Renaud Boulanger, Caroline Strub, Alexandre Colas de la Noue

“…These findings emphasize the complex microbial interactions in cocoa fermentation that could shape future cocoa bean aroma.…”
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Advanced predictive disease modeling in biomedical IoT using the temporal adaptive neural evolutionary algorithm by Chandragandhi S, Arvind C, Srihari K

“…Abstract Biomedical IoT, predictive modeling, disease diagnosis, and temporal data analysis have become essential components in modern healthcare systems. Accurate and efficient predictive disease modeling is crucial in biomedical IoT for early detection and intervention, yet existing models like LSTM and XGBoost face limitations in handling the complexity and temporal nature of health data streams. …”
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Soil moisture retrieval and spatiotemporal variation analysis based on deep learning by Zihan Zhang, Jinjie Wang, Jianli Ding, Jinming Zhang, Liya Shi, Wen Ma

“…We demonstrate that the design of efficient neural network architectures is essential for soil moisture inversion, and provides valuable insights for deep learning applications in hydrological parameter estimation and other challenges in complex environmental contexts.…”
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Challenges of integrating HIV prevention and treatment in China's border mountain regions: a grounded theory study by Sixian Du, Haoran Niu, Feng Jiang, Liwen Gong, Shan Zheng, Qi Cui, Xu Yang, Jiayan He, Rongcai Dai, Qilian Luo, Yiqing Yang

“…Conclusion This study highlights the complex challenges in HIV prevention, treatment, and integration in economically underdeveloped regions, emphasizing the need for improved patient awareness, healthcare system efficiency, and cross-institutional collaboration. …”
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Crowdsourcing Evaluation of Video Summarization Algorithm by Avrajyoti Dutta, Dawid Juszka, Mikołaj Leszczuk

“…An experimental comparison was conducted with respect to presentation order and random selection methods. A content-based video segmentation was also used to represent different levels of complexities and visual richness. …”
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Institutions and economic growth: An examination of their correlation in Bosnia and Herzegovina by Amra Babajić, Mirnesa Baraković Nurikić, Nisad Karabegović

“…Conclusion: One of the key challenges for economically, politically, socially, and religiously complex, small, and open countries like Bosnia and Herzegovina is the development of adequate, efficient, transparent, and corruption-free institutions.…”
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Understanding ChatGPT adoption for data analytics learning: A UTAUT perspective among social science students in Oman by Suliman Zakaria Suliman Abdalla

“…Descriptive findings reveal that students highly value ChatGPT's capability to simplify complex data analytics concepts and assist in selecting appropriate analytical methods. …”
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Numerical Simulation of the Hot Isostatic Pressing Densification Behavior of Ti6Al4V Powder for a Thin-Walled Tubular Component with Non-Axisymmetric Inner Ribs by Yanqing Jiang, Lin Geng, Guofeng Zhang

“…Hot isostatic pressing (HIP) technology is an efficient near-net-shape forming method to prepare complex-shaped structural components. …”
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Characterization and application of flow heterogeneity in high water cut reservoirs by ZHANG Min, JIN Zhongkang, FENG Xubo

“…Next, various methods for characterizing heterogeneity were compared, and the Lorenz coefficient was selected as a key parameter for characterizing flow heterogeneity. …”
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A model of thalamo-cortical interaction for incremental binding in mental contour-tracing. by Daniel Schmid, Heiko Neumann

“…This theoretical investigation encompasses complexity considerations and finds the model to be not only of explanatory value in terms of neurophysiological evidence, but also to be an efficient implementation of incremental binding striving to establish a normative account. …”
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Underwater acoustic signal denoising method based on DBO–VMD and singular value decomposition by A. Weiyi Chen, B. Shizhe Wang, C. Zongji Li, D. Li Dong

“…Second, the adaptive threshold is calculated by comprehensively considering the correlation coefficient and the multivariate permutation entropy, and it is used as the basis for selecting effective modal components and reconstructing the signal. …”
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Multiple active site metal-based catalysts for C-N coupling reactions and the beyond by Mingzheng Shao, Yangbo Ma, Yuecheng Xiong, Liang Guo, Yunhao Wang, Guozhi Wang, Fu Liu, Fengkun Hao, Xiang Meng, Xintao Ma, Zhanxi Fan

“…However, the low Faradaic efficiency and poor selectivity of C-N coupling reactions, arisen from obscure understanding of the complex multi-step reactions and competitive side reactions, hinder their practical applications. …”
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Pricing for finished products of the enterprise: accounting and analytical aspect by N.L. Pravdyuk

“…Factors and points of influence on the efficiency of the pricing policy are: information support of process of pricing assessment of pricing factors, establish the objectives of price policy, assessment of customer demand, cost analysis, competition analysis, selecting a pricing method that measures the price adjustment, the evaluation price risk. …”
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Enhancing AI-driven forecasting of diabetes burden: a comparative analysis of deep learning and statistical models by Rasool Esmaeilyfard, Mohsen Bayati

“…While deep learning models have demonstrated superior predictive capabilities, their real-world applicability is constrained by computational complexity and data quality challenges. This study evaluates the trade-offs between predictive accuracy, robustness, and computational efficiency in diabetes forecasting. …”
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Superiority of Classification Tree versus Cluster, Fuzzy and Discriminant Models in a Heartbeat Classification System. by Vessela Krasteva, Irena Jekova, Remo Leber, Ramun Schmid, Roger Abächerli

“…Stage 1 makes computationally-efficient classification of SVB-beats, using simple correlation threshold criterion for finding close match with a predominant normal (reference) beat template. …”
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Automatic identification of slip pathways in ductile inorganic materials by combining the active learning strategy and NEB method by Jun Luo, Tao Fan, Jiawei Zhang, Pengfei Qiu, Xun Shi, Lidong Chen

“…However, the accurate determination of slip pathways, crucial for understanding the deformation mechanism, still poses a great challenge owing to the complex crystal structures of these materials. In this study, we propose an automated workflow based on the interlayer slip potential energy surface to identify slip pathways in complex inorganic systems. …”
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