PSCDR-BMPNet: A Point-Supervised Contrastive Deep Regression Network for Point Cloud Biomass Prediction by Yi Wang, Hao Peng, Cheng Ouyang, Ruofan Zhang, Mingyu Tan, Wenwu Hu, Pin Jiang

“…This method provides an efficient biomass monitoring tool for precision agriculture.…”
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High-resolution numerical simulation of rotating detonation waves with parallel adaptive mesh refinement by Han Peng, Ralf Deiterding

“…Parallel scaling tests exhibit linear acceleration in solving rotating detonation engine problems, highlighting the efficiency of the parallel adaptive mesh refinement technique in capturing the primary features of these simulations.…”
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Deep Learning-Based Diagnosis Algorithm for Alzheimer’s Disease by Zhenhao Jin, Junjie Gong, Minghui Deng, Piaoyi Zheng, Guiping Li

“…In recent years, the integration of cutting-edge medical imaging technologies with forefront theories in artificial intelligence has dramatically enhanced the efficiency of identifying and diagnosing brain diseases such as AD. …”
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Russian Regional Debt Sustainability Estimation by O. V. Suchkova, A. Yu. Chemis

“…By using cluster analysis through k-means method entities of the Russian Federation were divided by the degree of subsidy need and indicators of economic efficiency into three clusters: developed, medium and dependent. …”
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Adaptive characteristics of the gut microbiota of the scaly-sided merganser (Mergus squamatus) in energy compensation at different developmental stages by Yanze Yu, Yanze Yu, Jiaming Wang, Luyi Shi, Hongyu Sun, Boxing Cheng, Yue Sun

“…The gut microbiota is crucial for maintaining health, enhancing digestive efficiency, and promoting the development of the immune system of the host. …”
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An easy decision-making graphic tool to improve herd level milk yield in a local scale dairy farming system by Lorenzo Serva, Igino Andrighetto, Giorgio Marchesini

“…The nomogram was used to calculate a confusion matrix, achieving an overall accuracy of 0.70, demonstrating its ability to transform predictive models into a graphical, realisable tool.…”
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Using machine learning to identify key predictors of maternal success in sheep for improved lamb survival by Ebru Emsen, Bahadir Baran Odevci, Muzeyyen Kutluca Korkmaz

“…These findings provide actionable insights for precision livestock farming, emphasizing the importance of genetic selection, birthing management, and environmental monitoring to enhance maternal efficiency and lamb survival.…”
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Voltage Stability Assessment Through Modal Analysis Using a Smooth Formulation of the Power Flow Problem Based on Sigmoid Functions by Joao Pedro Peters Barbosa, Joao Alberto Passos Filho, Rodrigo Andrade Ramos, Luis Fernando Costa Alberto

“…A key advantage of this formulation is its ability to convert limit-induced bifurcations into saddle-node bifurcations. …”
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PROBLEMS OF USING NEURAL NETWORKS TO PREDICT THE PRICE OF VIRTUAL ASSETS by Andrii Tsemko, Maxym Matskiv

“…Linear normalization showed the worst results, as the model loses its ability to predict if future values fall outside the training set. …”
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A Reconfigurable Multiport Converter for Integrated PV/EV/Battery Systems by Omair Khan, Branislav Hredzak, John E. Fletcher

“…Power conversion is crucial for the global shift towards decarbonising energy systems. Maximizing efficiency in component usage, particularly in power conversion products, is essential. …”
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Natural and synthetic antimicrobials reduce adherence of enteroaggregative and enterohemorrhagic Escherichia coli to epithelial cells. by Yaraymi Ortiz, Alam García-Heredia, Angel Merino-Mascorro, Santos García, Luisa Solís-Soto, Norma Heredia

“…In general, we demonstrated that carvacrol, oregano extract, and rifaximin at sub-minimal bactericidal concentrations interfere with target sites in E. coli, reducing the adhesion efficiency.…”
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Spectral feature modeling with graph signal processing for brain connectivity in autism spectrum disorder by Ayesha Jabbar, Huang Jianjun, Muhammad Kashif Jabbar, Khalil ur Rehman, Anas Bilal

“…Traditional graph-theoretical approaches have been widely employed to study ASD biomarkers; however, these methods are often limited to static topological measures and lack the capacity to capture spectral characteristics of brain activity, especially in multimodal data settings. This limits their ability to model dynamic neural interactions and reduces their diagnostic precision. …”
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Catalytic Performance of Iron-Based Oxygen Carriers Mixed with Converter Steel Slags for Hydrogen Production in Chemical Looping Gasification of Brewers’ Spent Grains by Miao Yuan, Huawei Jiang, Xiangli Zuo, Cuiping Wang, Yanhui Li, Hairui Yang

“…Converter steel slags (CSSs) are steelmaking wastes and rich in Fe₂O₃, CaO and MgO, which have good oxidative ability and good stability as well as catalytic effects on biomass gasification. …”
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Machine Learning-Based Prediction of Resilience in Green Agricultural Supply Chains: Influencing Factors Analysis and Model Construction by Daqing Wu, Tianhao Li, Hangqi Cai, Shousong Cai

“…It reduces false negative risk omission by 50% and improves the ability to capture high-risk samples by three times, which verifies the feasibility and applicability of the fsQCA-XGBoost prediction method in the field of resilience prediction for agricultural product green supply chains. …”
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Membrane technology application in the framework of zero emission concept by Vuk Rajović, Jelena Marković, Aleksandar Jokić, Jelena Ilić

“…As an alternative to conventional process es for CO2 separation and capture, membrane technology shows great potentiality for CO2 capture owing to its easy applicability, efficiency, flexibility, ability to maintain high CO2 pressure and to perform separations at low energy penalties. …”
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Prediction of Highway Tunnel Pavement Performance Based on Digital Twin and Multiple Time Series Stacking by Gang Yu, Shuang Zhang, Min Hu, Y. Ken Wang

“…The existing pavement performance prediction methods are limited to single-factor predictions, which often face the challenges of high cost, low efficiency, and poor accuracy. It is difficult to simultaneously solve the temporal, spatial, and exogenous dependencies between pavement performance data and maintenance, the service life of highways, the environment, and other factors. …”
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Photoelectrochemical Biosensor Based on 1D In₂O₃ Tube Decorated with 2D ZnIn₂S₄ Nanosheets for Sensitive PSA Detection by Huihui Shi, Jianjian Xu, Yanhu Wang

“…In photoelectrochemical (PEC) biosensing, efficient electron-hole separation is crucial to obtain preferred photocurrent response and analytical performance; thus, constructing developed heterointerfaces with high carrier transfer efficiency is an effective method for sensitive evaluation of analytes. …”
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Improved YOLO-Based Pulmonary Nodule Detection with Spatial-SE Attention and an Aspect Ratio Penalty by Xinhang Song, Haoran Xie, Tianding Gao, Nuo Cheng, Jianping Gou

“…Comprehensive experiments conducted on the LUNA16, LungCT, and Node21 datasets reveal that our approach achieves superior precision, recall, and mean average precision (mAP) across various IoU thresholds, surpassing previous state-of-the-art methods while maintaining computational efficiency. Specifically, the proposed SSE module achieves a precision of 0.781 on LUNA16, while the EAPIoU loss boosts mAP@50 to 92.4% on LungCT, outperforming mainstream attention mechanisms and IoU-based loss functions. …”
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Unveiling the CO2 adsorption capabilities of carbon nanostructures from biomass waste: An extensive review by Arun Kumar Senthilkumar, Mohanraj Kumar, Mohammed Abdul Kader, Mohd. Shkir, Jih-Hsing Chang

“…Owing to their distinct characteristics, including their large surface area, pore size, and ability to attach various functional groups, they are the perfect source material for CO2 adsorption. …”
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<p>The impact of food stress-induced learning on compensatory behaviors in predatory mites <em>Phytoseiulus persimilis</em> and <em>Neoseiulus californicus</em> (Acari: Phytoseiida... by Mohammadreza Havasi, Azadeh ZahediGolpayegani, Alireza Bandani, Navid Sehat-Niaki

“… Learning and early-life experiences are crucial in enhancing predatory behavior and resource utilization among predators, increasing their ability to adapt to fluctuating environmental conditions. …”
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