Assessment of phenotypic diversity of Ñuña, a local common bean (Phaseolus vulgaris L.) from the northern Andes in Peru by Angel Esteban Santa Cruz Padilla, Jorge Luis Vásquez-Orrillo, Ricardo Manuel Bardales-Lozano, Hipolito Murga-Orrillo

“…Understanding the variability of the qualitative and quantitative traits of Ñuña is crucial for future genetic improvement studies aimed at achieving cultivars with desirable characteristics. …”
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Machine Learning‐Based Emulator for the Physics‐Based Simulation of Auroral Current System by Ryuho Kataoka, Aoi Nakamizo, Shinya Nakano, Shigeru Fujita

“…Since the ESN‐based emulator runs a million times faster than the REPPU simulation, it is promising that we can utilize the emulator for the real‐time space weather forecast of the auroral current system as well as to obtain large‐number ensembles to achieve future data assimilation‐based forecast.…”
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O caso da redução de velocidade nas marginais da cidade de São Paulo como experiência de lutas por ressignificação do espaço urbano by Antonio Fagner da Silva Bastos, Sérgio Carvalho Benício de Mello, Daniella Ramos da Silva

“… Sob o principal argumento de proporcionar um trânsito mais seguro, a Prefeitura de São Paulo implementou o Plano de Proteção à Vida (PPV), uma série de medidas para acalmar o trânsito no espaço viário da cidade. …”
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Advanced in Islanding Detection and Fault Classification for Grid-Connected Distributed Generation using Deep Learning Neural Network by Rusvaira Qatrunnada, Novizon Novizon, Mardini Hasanah, Tuti Angraini, Anton Anton

“…There are several problems when DG is connected to the grid. The principal obstacle pertains to the detachment of Distributed Generation (DG) from the grid, a phenomenon well known as islanding. …”
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Does investor's sentiment affect industries' return? – A case of selected Indian industries by Amit Rohilla, Neeta Tripathi, Varun Bhandari

“…Design/methodology/approach – The paper uses 23 market and macroeconomic proxies to measure investor sentiment. Principal component analysis has been used to create sentiment sub-indices that represent investor sentiment. …”
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An MR Brain Images Classifier System via Particle Swarm Optimization and Kernel Support Vector Machine by Yudong Zhang, Shuihua Wang, Genlin Ji, Zhengchao Dong

“…The 5-folded cross-validation classification results showed that our method achieved 97.78% classification accuracy, higher than 86.22% by BP-NN and 91.33% by RBF-NN. …”
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Preparing a scale for sports knowledge management and standardizing it for employees in student activities departments in Iraqi universities by Shakir Mahmoud Abdullah, Zeyad Mishaal Farhan, Yaseen Ali Khalaf, Omar Fadhil Yahya, Othman Adham Ali

“… Introduction: The importance of the research lies in the need to exchange sports knowledge between principals and their assistants and all workers in the field of extracurricular student activities, especially in the sports field. …”
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Piper-PCA-Fisher Recognition Model of Water Inrush Source: A Case Study of the Jiaozuo Mining Area by Pinghua Huang, Xinyi Wang

“…During the one-by-one rediscrimination process of 28 groups of training samples using the Piper-PCA-Fisher water inrush source model, 100% correct discrimination rate was achieved. During the prediction and discrimination process of 13 samples, one water sample was misdiscriminated; hence, the correct prediscrimination rate was 92.3%. …”
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Comprehensive Environmental Monitoring System for Industrial and Mining Enterprises Using Multimodal Deep Learning and CLIP Model by Shuqin Wang, Na Cheng, Yan Hu

“…Results reveal that the multimodal LSTM-CLIP model achieved an anomaly detection accuracy of 0.98 in environmental monitoring, marking a 0.10 improvement over the unimodal LSTM model, with a response time of merely 110.25 milliseconds. …”
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Using tree-based models to identify factors contributing to trait negative affect in adults by Catalina Cañizares, Yvonne Gómez-Maquet, Eugenio Ferro, Carlos Arturo Torres, Diana María Agudelo, Gabriel Odom

“…The regression tree model achieved strong performance metrics, including an R-squared value of 0.77. …”
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Comparative Performance of Sentinel-2 and Landsat-9 Data for Raw Materials’ Exploration Onshore and in Coastal Areas by Morgana Carvalho, Joana Cardoso-Fernandes, Francisco Javier González, Ana Claudia Teodoro

“…The demand for Critical Raw Materials (CRM) is increasing due to the need to decarbonize economies and transition to a sustainable low-carbon future achieving climate goals. To address this, the European Union is investing in the discovery of new mineral deposits within its territory. …”
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Unlocking watershed mysteries: Innovative regionalization of hydrological model parameters in data-scarce regions by Temesgen T. Mihret, Fasikaw A. Zemale, Abeyou W. Worqlul, Ayenew D. Ayalew, Nicola Fohrer

“…New hydrological insights for the region: The RBA outperformed PSA and SPA in parameter transfer, achieving R² values of 0.57, 0.79, and 0.67; PBIAS values of 7.3, −1.5, and 2.6; and NSE values of 0.58, 0.78, and 0.67 for Beressa, Dedessa, and Gilgel Abay, respectively. …”
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Study on Deformation Mechanism and Support Measures of Soft Surrounding Rock in Muzhailing Deep Tunnel by Zhigang Tao, Jindong Cao, Liu Yang, Aipeng Guo, Ruifeng Huang, Xiaojie Yang, Di Yuan, Lin Hou

“…The NPR cable can achieve large deformation under the condition of constant support resistance. …”
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UV Hyperspectral Imaging and Chemometrics for Honeydew Detection: Enhancing Cotton Fiber Quality by Mohammad Al Ktash, Mona Knoblich, Frank Wackenhut, Marc Brecht

“…Additionally, partial least squares regression (PLS-R) was utilized to predict the honeydew content for each pixel in hyperspectral images, achieving a cross-validation coefficient of determination <i>R</i>² = 0.75 and root mean square error of RMSE = 0.8 for the honey model. …”
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Urdu Handwritten Characters Data Visualization and Recognition Using Distributed Stochastic Neighborhood Embedding and Deep Network by Mujtaba Husnain, Malik Muhammad Saad Missen, Shahzad Mumtaz, Dost Muhammad Khan, Mickäel Coustaty, Muhammad Muzzamil Luqman, Jean-Marc Ogier, Hizbullah Khattak, Sikandar Ali, Ali Samad

“…The accuracy achieved in recognition of Urdu characters and numerals among the approaches for the same task is found to be much better. …”
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INSIGHT INTO THE IMPLEMENTATION OF THE IFS FOOD VERSION 8 REQUIREMENTS IN THE FOOD SAFETY MANAGEMENT SYSTEM: KEY STEPS AND BENEFITS by MARIANA-LILIANA PĂCALĂ, CIPRIAN CĂPĂȚÂNĂ, SIMONA OANCEA

“…This system was gradually adapted and improved in line with changes in food safety standards, ultimately achieving certification in accordance with the requirements of IFS Food v8. …”
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Identification of Maize Kernel Varieties Using LF-NMR Combined with Image Data: An Explainable Approach Based on Machine Learning by Chunguang Bi, Xinhua Bi, Jinjing Liu, He Chen, Mohan Wang, Helong Yu, Shaozhong Song

“…Subsequently, LF-NMR features and image morphological data were integrated to construct a classification model and the SVM hyperparameters were optimized using an improved differential evolution algorithm, achieving a final classification accuracy of 96.36%, which demonstrated strong robustness and precision. …”
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Parameters Influencing Sulfur Speciation in Environmental Samples Using Sulfur K-Edge X-Ray Absorption Near-Edge Structure by Siwatt Pongpiachan, Kanjana Thumanu, Charnwit Kositanont, Klaus Schwarzer, Jörg Prietzel, Phoosak Hirunyatrakul, Itthipon Kittikoon

“…Further investigation on “self-absorption” effect revealed that the maximum sensitivities of sulfur K-edge XANES spectra were achieved when diluting sulfur compound standards with boron nitride (BN) at the mixing ratio of 0.1%. …”
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Vegetation runoff and sediment reduction benefits and influential factor in the Loess Plateau of China: A meta-analysis by Mengrou Jia, Cong Han, Jianzhi Niu, Miao Wang, Linus Zhang, Ronny Berndtsson

“…The Loess Plateau is one of the most severely affected regions in China by soil erosion, where vegetation restoration is the principal strategy for soil and water conservation. …”
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Classification of Strawberry Maturity Stages and Varieties Using Neural Networks Based on Volatile Organic Compounds by Jing Huang, Xuenan Zhang, Hang Yang, Zhenbiao Li, Zhengfang Xue, Qingqing Wang, Xinyuan Zhang, Shenghua Ding, Zisheng Luo, Yanqun Xu

“…The accuracy of all models ranged from 90.00% to 98.33%, with the NN model demonstrating the best performance. Specifically, it achieved 96.67% accuracy for single-maturity classification, 98.33% for single-variety classification, and 96.67% for dual maturity and variety classification, along with 98.09% precision, 97.92% recall, and 97.91% F1 score. …”
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