Combining miRNA concentrations and optimized machine-learning techniques: An effort for the tomato storage quality assessment in the agriculture 4.0 framework by Seyed Mohammad Samadi, Keyvan Asefpour Vakilian, Seyed Mohamad Javidan

“…Fruits’ cold storage lead to an increase or decrease in the concentration (expression) of several miRNAs in their intracellular structure. …”
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Automated Measurement of Air Bubbles Dispersion in Ice Cream Using Machine Learning Methods by Igor A. Korolev

“…Ice cream is a popular cold dessert. Its air phase consists of tiny bubbles with an average diameter of 15–60 µm. …”
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Investigation of cracking behavior in asphalt pavement using digital image processing technology by Jie Jiang, Jie Jiang, Kui Xu, Yanbin Song, Ling Gao, Jinzhu Zhang

“…The research results provide a theoretical basis and reference significance for the study of pavement crack resistance in cold regions.…”
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Synergistic Matching and Influencing Factors of Grain Production and Cropland Net Primary Productivity in the Black Soil Region of Northeast China by Quanxi Wang, Jun Ren, Maomao Zhang, Hongjun Sui, Xiaodan Li

“…This study analyzed the spatial–temporal mismatch characteristics of grain production and cropland net primary productivity (CNPP) using the gravity center model, spatial autocorrelation analysis, and spatial mismatch index (SMI), and identified the spatial heterogeneity and prediction–response relationships of influencing factors based on a geographically and temporally weighted regression (GTWR) model and boosted regression tree (BRT) machine learning algorithm. The findings indicated that grain production and CNPP have been increasing, but the overall spatial pattern of cold hotspots has not changed obviously in the BSRNC from 2000 to 2020. …”
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Clinical characteristics and severity of hand, foot, and mouth disease by virus serotype: A prospective hospital-based cohort study. by Yu Li, Junmei Yang, Lu Liang, Kai Wang, Lance Turtle, Peng Li, Yonghong Zhou, Yuanfang Shen, Peng Cui, Chongchen Zhou, Qi Qiu, Chun Guo, Mengyao Zeng, Lu Long, Tianchen Zhang, Malik Peiris, Benjamin J Cowling, Tom Solomon, Yibing Cheng, Peng Wu, Hongjie Yu

“…The study utilised a prospective, hospital-based cohort design and a tiered diagnostic algorithm incorporating real-time RT-PCR and nested RT-PCR for serotyping. …”
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The dietary patterns of water deer recently rediscovered in Northeast China exhibit remarkable similarities to those observed in other regions by Zongzhi Li, Zhicheng Yao, Mingchun Zhang, Romaan Hayat Khattak, Xingzhi Han, Jia Sun, Zhongyu Li, Jianmin Lang, Chong Chen, Jing Jin, Zhensheng Liu, Liwei Teng

“…In this study, we investigated the diet of water deer (Hydropotes inermis) by integrating traditional fecal microhistological analysis with a deep learning algorithm. Fecal samples were collected from water deer in northeastern China, with microscopic slides prepared for both the warm season (203 samples) and cold season (451 samples). …”
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Machine learning-based prediction of knee pain risk using lipid metabolism biomarkers: a prospective cohort study from CHARLS by Biao Guo, Yuan Li, Yuan Li, Weihang Peng, Yabin Liu, Fei He, Zhe Zhai

“…Among the models, the Stacked Ensemble algorithm achieved the best performance, with an AUC of 0.85 and a Brier score of 0.13. …”
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Monte carlo study of the effect of collimator thickness on T-99m source response in single photon emission computed tomography by Jalil Islamian, Mohammad Taghi Toossi, Mahdi Momennezhad, Seyyed Zakavi, Ramin Sadeghi, Michael Ljungberg

“…A point source of 99m  Tc and an acrylic cylindrical Jaszczak phantom, with cold spheres and rods, and a human anthropomorphic torso phantom (4D-NCAT phantom) were used. …”
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Spatial Differentiation in Urban Thermal Environment Pattern from the Perspective of the Local Climate Zoning System: A Case Study of Zhengzhou City, China by Jinghu Pan, Bo Yu, Yuntian Zhi

“…The main urban area’s heat island varies with the seasons, pooling in the urban area during the summer and peaking in the winter, with strong or extremely strong heat islands centered in the suburbs and a distribution of hot and cold spots aggregated with observable features. As building heights increase, the UHI of common built landscapes (LCZ 1–6) increases and then reduces in spring, summer, and autumn and then decreases in winter as building heights increase. …”
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Snow Distribution Patterns Revisited: A Physics‐Based and Machine Learning Hybrid Approach to Snow Distribution Mapping in the Sub‐Arctic by R. L. Crumley, C. L. Bachand, K. E. Bennett

“…We trained a random forest ML algorithm on tens of thousands of snow survey observations from a subarctic study area on the Seward Peninsula, Alaska, collected during peak snow water equivalent (SWE). …”
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Genome-wide identification and expression profile analysis of the NAC transcription factor family during abiotic and biotic stress in woodland strawberry. by He Zhang, Hao Kang, Chulian Su, Yanxiang Qi, Xiaomei Liu, Jinji Pu

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Immunophenotype-guided interpretable radiomics model for predicting neoadjuvant anti-PD-1 response in stage III–IV d-MMR/MSI-H colorectal cancer by Xuan Zhang, Zhenhui Li, Yiwen Zhang, Yanli Li, Xi Zhong, Wenjing Jiang, Xiaobo Chen, Zaiyi Liu, Liebin Huang, Caixia Zhang, Lizhu Liu, Ruimin You, Xiaoping Yi

“…Eventually, an interpretable immunotherapy response prediction model was developed by integrating a decision tree algorithm with SHapley Additive exPlanations (SHAP) analysis.Results Two immunophenotypes (immune-hot and immune-cold) were identified, compared with the immune-cold, the former exhibited more abundant RNA-based immune cell infiltration and higher densities of CD3 and CD8 T cells in both the core tumor and invasive margin areas. …”
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Identification of flood atmospheric patterns and simulation of rainfall to runoff conversion in Shiraz Watershed by Hamid Jorkesh, Mohammad Javad Amiri, Ahmad Nohegar

“…The rainfalls were then sorted on an annual and monthly scale, and the rainfall was zoned using the Kriging algorithm in ArcGIS. Also, rainfalls of more than 40 mm were extracted from 12 rain gauge stations and were considered as flood events. …”
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Downscaling air temperatures for high-resolution niche modeling in a valley of the Amazon lowland forests: A case study on the microclima R package. by M J Pohl, L Lehnert, B Thies, K Seeger, M B Berdugo, S R Gradstein, M Y Bader, J Bendix

“…From a certain level of mass the cold air starts to flow downslope towards the valley centers leading to temperature inversions. …”
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Model Development for Estimating Sub-Daily Urban Air Temperature Patterns in China Using Land Surface Temperature and Auxiliary Data from 2013 to 2023 by Yuchen Guo, János Unger, Tamás Gál

“…In this study, we integrated MODIS-based land surface temperature (LST) data with 18 auxiliary data from 2013 to 2023 to develop a Tair estimation model for major Chinese cities, using random forest algorithms across four diurnal and seasonal conditions: warm daytime, warm nighttime, cold daytime, and cold nighttime. …”
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Improved simulation of thunderstorm characteristics and polarimetric signatures with LIMA two-moment microphysics in AROME by C. David, C. Augros, B. Vié, F. Bouttier, T. Le Bastard

“…Enhancements in the forward operator have also been suggested to improve the simulations in the mixed phase and cold phase regions.</p> <p>These findings are highly encouraging in the context of data assimilation, where one could leverage the combination of advanced microphysics schemes and improved forward operators to improve storm forecasts.…”
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Spatiotemporal analysis of thermal islands in a semi-arid city: A case study of Kermanshah, Iran using machine learning and remote sensing by Peyman Karami, Seyed-Mohsen Mousavi

“…Cold Islands (CIs) and Hot Islands (HIs) were identified for each image using LST and Getis-Ord Gi analysis, and their spatio-temporal changes were evaluated with the Kappa index and landscape metrics. …”
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Filamentary Hierarchies and Superbubbles. I. Characterizing Filament Properties across a Simulated Spiral Galaxy by Rachel Pillsworth, Erica Roscoe, Ralph E. Pudritz, Eric W. Koch

“…On larger scales, however, kiloparsec filaments form out of the cold neutral medium, and fragmentation follows local variations in the critical line mass along spiral arms or at the boundaries of superbubbles.…”
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Evolutionary fuzzy learning for Chinese medicine liver syndrome differentiation by Jia-Yu Yan, Peng-Wei Zhang, Wei-Guo Sheng, Jun-Ping Shi, Wei Ni, Li Li, Yu-Jun Zheng

“…To determine the most appropriate fuzzy membership functions of the fuzzy learning machines, an evolutionary algorithm was employed to optimize the types and parameters of the fuzzy functions simultaneously. …”
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Analysis of the Strength Development, CO₂ Emissions, and Optimized Low-Carbon Design of Fly-Ash-Enhanced Composite Concrete by Bo Yang, Yu Dong, Xiao-Yong Wang

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