Temperature change and male infertility prevalence: an ecological study by Jiahua Qian, Chunbao Mo, Yuhe Si, Qianqian Zhang, Yihao Chen, Jiayu Zhu, Yifei Wang, Jianxiong Ma

“…Furthermore, linear mixed-effects models were employed to quantify the association between DPT and male infertility ASPR, and adjusted models were subsequently used to forecast changes in ASPR under projected temperature scenarios for 2020–2030. …”
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Supply-disposition storage of fresh fruits and vegetables and food loss in the Canadian supply chain by Rumpa Chowdhury, Sharmin Jahan Mim, Anica Tasnim, Kelvin Tsun Wai Ng, Amy Richter

“…Two distinct regression models were developed to forecast fresh fruits and vegetables waste generation, and both demonstrated high predictability (0.924 ≤ R2 ≤ 0.975) and low RMSE values (1.571 ≤ RMSE ≤ 3.318). …”
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Efficient Machine Learning Models for Solar Radiation Prediction Using Ensemble Techniques: A Case Study in Low-Rainfall Arid Climates by Jimmy Aurelio Rosales Huamani, Uwe Rojas Villanueva, Christian Leonardo Rosales Ventocilla, Jose Luis Castillo Sequera, Jose Manuel Gomez Pulido

“…From this, dimensionality reduction was carried out using the Principal Component Analysis (PCA) technique, obtaining the 8 most appropriate representative variables for the prediction of solar radiation using different Machine Learning (ML) models. …”
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Development of a Novel One-Dimensional Nested U-Net Cloud-Classification Model (1D-CloudNet) by Minjie Deng, Yong Han, Yan Liu, Li Dong, Qicheng Zhou, Yurong Zhang, Ximing Deng, Tianwei Lu

“…Cloud classification is fundamental to advancing climate research and improving weather forecasting. However, existing cloud classification models are constrained by several limitations. …”
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Elderly travel mode choice in Thailand-evaluating MNL and machine learning models by Anantaya Philuek, Panuwat Wisutwattanasak, Fareeda Watcharamaisakul, Chinnakrit Banyong, Anon Chantaratang, Thanapong Champahom, Vatanavongs Ratanavaraha, Sajjakaj Jomnonkwao

“…Shapley Additive Explanations (SHAP) analysis identified transportation expenditure, travel party size, temporal considerations, and economic status as the predominant variables influencing modal selection decisions, with lower-income elderly individuals showing a greater tendency for public transportation utilization relative to their more affluent counterparts. …”
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Evolutionary characteristics of export trade network in the Arctic region by Xing Ma, Wenli Qiang, Shijin Wang, Jiayi Liu, Arunima Malik, Mengyu Li, Xiang Wang

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Enhanced coagulation index: a potent prognostic indicator for clinical outcomes in non-metastatic breast cancer following surgery and adjuvant therapy by Bolin Lu, Ji Wu, Mu Yuan, Xuxu Zhang, Xing Qiu, Jianyin Bai, Ming Yao, Sainan You, Shanshan Wang, Linlin Zhen

“…Multivariate Cox regression models showed that increased APTT/TT (HR=4.057, p=0.032) and more lymph node metastases (HR=2.324, p<0.001) were independent prognostic factors for DFS.ConclusionsThis study indicated a pivotal role of the APTT/TT ratio in forecasting the prognosis of breast cancer patients following comprehensive treatment. …”
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Deep learning applications for human embryo assessment using time-lapse imaging: scoping review by Rawan AlSaad, Leen Abusarhan, Nour Odeh, Alaa Abd-alrazaq, Fadi Choucair, Rachida Zegour, Arfan Ahmed, Sarah Aziz, Javaid Sheikh

“…Over the past four years, the use of DL in embryo analysis has increased rapidly. The primary applications of DL in the reviewed studies included predicting embryo development and quality (61%, n = 47) and forecasting clinical outcomes, such as pregnancy and implantation (35%, n = 27). …”
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Research on the early warning threshold for typhoon rainstorm-induced landslides based on rainfall index: A case study of Yongtai County, Fuzhou by Hao WANG, Yixuan FU, Chaoxu GUO, Yingying HUANG, Kan LIU

“…This study involved statistical analysis of historical rainfall and disaster data from typical typhoon-induced rainstorm events, such as the Typhoons Haikui and Nepartak. …”
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Satellite-derived steric height in the Southern Ocean: trends, variability, and climate drivers by J. Cocks, J. Cocks, A. Silvano, A. C. Naveira Garabato, O. Dragomir, O. Dragomir, N. Schifano, A. E. Hogg, A. Marzocchi

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Application of QVP Method to Winter Precipitation Observation Based on Polarimetric Radar by Guan Li, Dai Jianhua, Tao Lan, Yin Chunguang, Meng Fanwang

“…Winter precipitation events, especially those involving transitions of precipitation type, continue to pose a formidable forecasting and nowcasting challenge to operational meteorologists. …”
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Detection of the Effect of Climate Change on the Mechanism of Heat Islands in Tehran Province by Niloofar Mohammadi, Zahra Hejazizadeh, Parviz Zeaiean Firouzabadi, Alireza Karbalaee

“…According to the analysis with MODIS satellite images, the night temperature changes in the northern areas of Tehran were an increasing trend. …”
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In-Flight Calibration of Geostationary Meteorological Imagers Using Alternative Methods: MTG-I1 FCI Case Study by Ali Mousivand, Christoph Straif, Alessandro Burini, Mounir Lekouara, Vincent Debaecker, Tim Hewison, Stephan Stock, Bojan Bojkov

“…FCI offers more spectral bands, higher spatial resolution, and faster imaging capabilities, supporting a wide range of applications in weather forecasting, climate monitoring, and environmental analysis. …”
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Evaluating the Potential of Roof Water Harvesting System for Drinking Water Supplies During Emergencies Under the Impacts of Climate Change: ‘A Case Study of Swat District, Pakista... by Shamaima Wafa Qammar, Fayaz Ahmad Khan, Rashid Rehan

“…Five general circulation models (GCMs) were selected based on their performance in South Asian climate simulations. Analysis of the regional forecasted climate data indicates that almost all of the five climate models have predicted the periods of excessive rainfall to occur in the months of July, August, and September, while prolonged dry seasons may last between 271 and 325 days annually. …”
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Encouraging Safety 4.0 to enhance industrial culture: An extensive study of its technologies, roles, and challenges by Abid Haleem, Mohd Javaid, Ravi Pratap Singh

“…Safety 4.0 combines real-world applications with insightful analysis of current issues and potential future developments for safer, more intelligent workplaces.…”
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Integration of Machine Learning and Wavelet Algorithms for Processing Probing Signals: An Example of Oil Wells by Zukhra Abdiakhmetova, Zhanerke Temirbekova

“…Additionally, a neural network-based forecasting algorithm utilizing the Daubechies wavelet transform is introduced to improve the predictive accuracy of subsurface characteristics. …”
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Characteristics of Tight Dolostone Reservoir and Its Main Controlling Factors in the Submember Ma55 of Majiagou Formation in the Western Ordos Basin by Baiqiang Li, Taofa Zhou, Zhenzhen Wu, Yanick Blaise Ketchaya, Qicong Wang, Xiaoli Zhang, Jiangmin Du, Jonathan Atuquaye Quaye

“…This research will provide a theoretical basis for forecasting the favorable distribution areas of different types of dolostone reservoirs.…”
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Point-to-Interval Prediction Method for Key Soil Property Contents Utilizing Multi-Source Spectral Data by Shuyan Liu, Dongyan Huang, Lili Fu, Shengxian Wu, Yanlei Xu, Yibing Chen, Qinglai Zhao

“…Among these strategies, the outer-product analysis fusion algorithm proved particularly effective in improving prediction accuracy. …”
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The Effect of Early Intensive Neurological Treatment on the Prognosis of Patients’ Return to Full Functional Capacity after Stroke by Regina Lorencowicz, Anna Krasa, Józef Jasik, Krzysztof Turowski

“…In all patients, the neurological intensive treatment contributed to a clear improvement in the prognosis of the forecast regarding further improvement of functional capacity. …”
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Dielectric characterization of sugar mill wastewater and its impact on soil properties in the khadar and bangar regions by Ankur Kumar, Prachi Palta, Aastha Palta, Sanjay Dhanka, Rohit Bansal, Mochammad Fahlevi, Fazla Rabby, Mohammed Aljuaid

“…Predictive models, including artificial neural networks (ANNs) and regression trees, were applied to forecast the dielectric responses. The physicochemical analysis of wastewater revealed significant contamination, with a color range from light brown to black, pH values between 7.63 and 6.26, suspended solids of 40 to 45%, and conductivity of 1222 ± 12.06 to 1313 ± 10.62 µS/cm. …”
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