Comprehensive characterization of poplar HSP20 gene family: genome-wide identification, stress-induced expression profiling, and protein interaction verifications by Lincui Shi, Yude Kang, Ling Ding, Liejia Xu, Xiaojiao Liu, Anmin Yu, Aizhong Liu, Ping Li

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Upper Elevational Limit of Vegetation in the Himalayas Identified from Landsat Images by Bo Wei, Yili Zhang, Linshan Liu, Binghua Zhang, Dianqing Gong, Changjun Gu, Lanhui Li, Basanta Paudel

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The Transformation of Pigment in Fruit Wine, Precise Control of Pigment Formation, and Their Effect on Product Quality by Xiang Tan, Mengfan Ding, Chen Wang, Linhua Huang, Junying Bai

“…In addition, biochemical changes produce a series of chemical derivatives that affect bioavailability and biological functions. This review summarizes the chemical basis, formation process, influencing factors, identification techniques, bioavailability, and bioactivity of fruit wine pigments, providing an important reference for the utilization of fruit resources and the development of high-quality fruit wine products.…”
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Bacterial social interactions in synthetic Bacillus consortia enhance plant growth by Yan Liu, Baolei Jia, Yi Ren, Weibing Xun, Polonca Stefanic, Tianjie Yang, Youzhi Miao, Nan Zhang, Yanlai Yao, Ruifu Zhang, Zhihui Xu, Qirong Shen, Ines Mandic‐Mulec

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Medium- and Long-term Runoff Prediction Based on SMA-LSSVM by TIAN Jinghuan, LI Congxin, LI Ang

“…Medium-and long-term runoff prediction is extremely important for flood control,disaster reduction and the utilization efficiency improvement of water resources.To avoid the influence of prediction model parameters on prediction accuracy,this paper proposes a medium-and long-term runoff prediction model based on least squares support vector machine (LSSVM) optimized by the slime mold algorithm (SMA).Firstly,five standard test functions are selected to compare the simulation results of SMA and particle swarm optimization (PSO) algorithms in different dimensions.Secondly,SMA is used to optimize the penalty parameters and kernel parameters of LSSVM,and the comparison models of LSSVM and PSO-LSSVM are constructed.Finally,the models are verified with the monthly runoff of Manwan Hydropower Station Reservoir and Yingluoxia Hydrological Station as prediction examples.The results show that the mean square error of the SMA-LSSVM model is 29.26% and 7.42% lower than those of the LSSVM and PSO-LSSVM models,respectively,in the monthly runoff prediction of the Manwan station,and 32.61% and 6.61% lower,respectively,in the monthly runoff prediction of the Yingluoxia station.The proposed SMA-LSSVM model has better comprehensive prediction performance and also provides a new method for medium- and long-term runoff prediction.…”
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Influence of Water Immersion on Coal Rocks and Failure Patterns of Underground Coal Pillars Considering Strength Reduction by Haihua Zhu, Peitao Wang, Kewei Zhang, Yijun Gao, Zhenwu Qi, Meifeng Cai

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Pose measurement method for coal mine drilling robot based on deep learning by Jiangnan LUO, Jianping LI, Hongxiang JIANG, Deyi ZHANG

“…Next, a generative adversarial network was integrated into the PointNet++ to capture more complex and detailed point cloud features. A focal loss function was employed to enhance the model's focus on the drill head and gripper, and Bayesian parameter optimization was used for hyperparameter tuning. …”
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Acoustic Features for Identifying Suicide Risk in Crisis Hotline Callers: Machine Learning Approach by Zhengyuan Su, Huadong Jiang, Ying Yang, Xiangqing Hou, Yanli Su, Li Yang

“…Basic acoustic features (eg, Mel Frequency Cepstral Coefficients, formant frequencies, jitter, shimmer) and high-level statistical function (HSF) features (using OpenSMILE [Open-Source Speech and Music Interpretation by Large-Space Extraction] with the ComParE 2016 configuration) were extracted. …”
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The osteoinductive and osseointegration properties of decellularized extracellular matrix bone derived from different sites by Weihua Huang, Lijing Hao, Xiayu Cai, Chujie Xiao, Huinan Yin, Weikang Xu

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Sensitivity of Firms' Investment to Uncertainty and Cash Flow by Taher Porkavosh, Ezatollah Abbasian, Vahid Mahmoudi

“…Conclusion The results of the research confirm the views of the growth real option and the convex function of capital's marginal income, while disconfirming the views of the expectation real option, market structure, and production technology. …”
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CFD-APSO Co-Optimization for Enhanced Heat Dissipation in a <i>Camellia oleifera</i> Harvester Engine Compartment by Wenfu Tong, Kai Liao, Lefeng Zhou, Haifei Chen, Hong Luo, Jichao Liang

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The effect of intercropping with Pandanus amaryllifolius Roxb. on rhizospheric microorganism of Areca catechu L. by Ang Zhang, Fan Su, Xiaowei Qin, Huan Yu, Yiming Zhong, Xunzhi Ji, Shuzhen He, Ying Zong, Na An, Lihua Li, Susen Chen

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Structural optimization and performance evaluation of a sugarcane leaf mulching machine by Weihua Huang, Shuo Wang, Chang Ge, Lijiao Wei, Dongjie Du, Zhaojun Niu, Ming Li, Zhenhui Zheng

“…This study provides a valuable reference for advancing sugarcane leaf mulching machine performance and offers insights into more effective utilization of sugarcane leaf resources.…”
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Lightweight obstacle detection for unmanned mining trucks in open-pit mines by Guangwei Liu, Jian Lei, Zhiqing Guo, Senlin Chai, Chonghui Ren

“…This design can introduce the self-attention mechanism from the three dimensions of scale, space, and task, significantly improving the detection accuracy of the model while avoiding the additional computational burden. In terms of loss function, this paper introduces a combination of SIoU loss and NWD (normalized Gaussian Wasserstein distance) loss. …”
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Identification of mesoscale eddies based on improved YOLOv8 model: a case study in the South China Sea by Jianhao Gao, Jianhao Gao, Jianhao Gao, Feng Zhou, Feng Zhou, Feng Zhou, Di Tian, Di Tian, Muping Zhou, Muping Zhou, Hailong Guo

“…Accurate identification of mesoscale eddies is crucial for a deeper understanding of ocean internal dynamics, the development of marine resources, and the prediction of changes in the marine environment. …”
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Genome assembly of an endemic butterfly (Minois aurata) shed light on the genetic mechanisms underlying ecological adaptation to arid valley habitat by Wenqian Hu, Yi Wang, Xiaoxiao Chen, Jialong Huang, Jingge Kuang, Lei Wang, Kangshan Mao, Liang Dou

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Social stability risk analysis caused by land acquisition and migration for water conservancy project construction by Feng Li, Xuewan Du, Xin Huang, Huimin Li, Xiaoxia Fei

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Water quality evaluation in Liaoning Province large reservoirs: a new method integrating random forest-TOPSIS and Monte Carlo simulation by Chong Zhang, Mo Chen, Yi Wang

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Multipurpose uses of rapeseed (Brassica napus L.) crop (food, feed, industrial, medicinal, and environmental conservation uses) and improvement strategies in China by Ibrahim A.A. Mohamed, Nesma Shalby, Ali Mahmoud El-Badri, Eman F.A. Awad-Allah, Maria Batool, Muhammad Hamzah Saleem, Zongkai Wang, Jing Wen, Xianhong Ge, Zhenghua Xu, Jing Wang, Jie Kuai, Bo Wang, Guangsheng Zhou, Tingdong Fu

“…This review explores the multifunctional utilization and industrial significance of rapeseed, along with its environmental applications, to provide insights into future improvements. …”
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Sandwich‐Structured Fluorinated Polyimide Aerogel/Paraffin Phase‐Change Composites Simultaneously Enables Gradient Thermal Protection and Electromagnetic Wave Transmission by Tao Shi, Jianwei Jing, Zhiqiang Qian, Gaojie Wu, Guofeng Tian, Huan Liu, Xiaodong Wang

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