Large-Scale AI-Based Structure and Activity Prediction Analysis of ShK Domain Peptides from Sea Anemones in the South China Sea by Ziqiang Hua, Limin Lin, Wanting Yang, Linlin Ma, Meiling Huang, Bingmiao Gao

“…However, these peptides’ structural complexity and diversity have posed challenges for functional prediction. …”
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Autonomous Vehicle Security: Hybrid Threat Modeling Approach by Amal Yousseef, Yu-Zheng Lin, Shalaka Satam, Banafsheh Saber Latibari, Jesus Pacheco, Soheil Salehi, Salim Hariri, Pratik Satam

“…Autonomous vehicles (AVs) are poised to revolutionize modern transportation, offering enhanced safety, efficiency, and convenience. However, AV architectures' increasing connectivity and complexity have introduced significant cybersecurity risks. …”
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Automated Models for Predicting Software Defects in Hybrid Message Passing Interface (MPI) and Open Multi-Processing (OpenMP) Parallel Programs Using Deep Learning by Amani Saad Althiban, Hajar M. Alharbi, Lama A. Al Khuzayem, Fathy Elbouraey Eassa

“…Hybrid Message Passing Interface (MPI) and Open Multi-Processing (OpenMP) parallel programs are pivotal for scalability and efficiency in high-performance computing (HPC), especially as systems approach exa-scale operations. …”
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Friction Prediction in Asphalt Pavements: The Role of Separated Macro- and Micro-Texture Parameters Under Dry and Wet Conditions by Jie Gao, Jingjing Fan, Chong Gao, Liang Song

“…The regression models effectively predict both friction coefficients, reducing field testing complexity and cost. These models provide an efficient tool for evaluating skid resistance and supporting pavement performance and maintenance management. …”
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Structure-based molecular screening and dynamic simulation of phytocompounds targeting VEGFR-2: a novel therapeutic approach for papillary thyroid carcinoma by Shuai Wang, Lingqian Zhang, Wenjun Zhang, Xiong Zeng, Jie Mei, Weidong Xiao, Lijie Yang

“…Additionally, the selected compounds exhibited highly favorable ADMET properties, including optimal water solubility, efficient gastrointestinal absorption, and a non-hepatotoxic profile, all aligning with Lipinski’s rule of five. …”
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Integration of theoretical principals of psychosomatic medicine and practice of Balint supervision in physicians in the promotion of effective professional communication by V A Vinokur, T A Karavaeva

“…The history of the relations and common principles related to the attention to the complexed issues of physician-patient communication and the therapy in psychosomatic disorders which becomes more successful due to the impact of analytical Balint supervision, are analyzed. …”
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Numerical Investigation on Influential Factors for Quality of Smooth Blasting in Rock Tunnels by Baoping Zou, Zhipeng Xu, Jianxiu Wang, Zhanyou Luo, Lisheng Hu

“…A general control strategy for smooth blasting is too difficult to be available due to the uncertainties and complexity of rock masses, as well as the varying blasting operations. …”
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Optimizing Clinical Decision Support System Functionality by Leveraging Specific Human-Computer Interaction Elements: Insights From a Systematic Review by Ali Azadi, Francisco José García-Peñalvo

“…Likewise, “alerts” provide timely information for effective decision-making and, simultaneously, are designed to avoid overwhelming users and maintain system efficiency. “Simplification” and “mental effort” also optimize workflows and reduce complexity. …”
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A Status Evaluation of Rock Instability in Metal Mines Based on the SPA–IAHP–PCN Model by Fang Yan, Xuan Li, Longjun Dong, Shengnan Du, Hongwei Wang, Daoyuan Sun

“…Finally, the availability and reasonability of the proposed method were verified by comparing the results obtained with the number of microseismic events detected by the sensors in a metal mine. The proposed model provides a novel approach to dynamic risk assessment in mining, offering a reliable alternative for evaluating complex safety challenges. …”
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Transforming Manufacturing Quality Management with Cognitive Twins: A Data-Driven, Predictive Approach to Real-Time Optimization of Quality by Asif Ullah, Muhammad Younas, Mohd Shahneel Saharudin

“…In the ever-changing world of modern manufacturing, maintaining product quality is of great importance, yet extremely difficult due to complexities and the dynamic production paradigm. Currently, quality is rather reactively measured through periodic inspections and manual assessments. …”
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Current Status and Analysis of Key Technologies in Automatic Transplanters for Vegetables in China by Bo Cheng, Huarui Wu, Huaji Zhu, Jie Liang, Yisheng Miao, Youlin Cui, Weitang Song

“…However, automatic transplanters are structurally complex, with diverse components, each design and function offering its own advantages and limitations. …”
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A novel canopy water indicator for UAV imaging to monitor winter wheat water status by Meiyan Shu, Zhenghang Ge, Yang Li, Jibo Yue, Wei Guo, Yuanyuan Fu, Ping Dong, Hongbo Qiao, Xiaohe Gu

“…The utilization of UAV-based imaging systems for precise assessment of crop hydration levels plays a pivotal role in optimizing irrigation strategies and enhancing the efficiency of agricultural water resource management. …”
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Does Socioeconomic and Environmental Factors Exacerbate Undernourishment in Asia and Africa? by Neng Zulfa Azhar, Dito Alif Pratama, Amanca Pamalina Lapasa

“… This study investigates the impact of socioeconomic and environmental factors on undernourishment, across seven selected countries in Asia and Africa from 2001 to 2020. …”
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From Tables to Computer Vision: Transforming HPDC Process Data into Images for CNN-Based Deep Learning by A. Burzyńska

“…The approach assists in predicting key values of the dependent variable associated with defect occurrence, enabling foundries to enhance product quality, reduce waste, and augment overall production process efficiency. The proposed study is founded on two principal pillars: the transformation of process tabular data (generated using the Conditional Tabular Generative Adversarial Network (CTGAN)), involving the mapping of features onto a fixed grid in a heatmap structure, and the configuration of the CNN algorithm to extract complex patterns in the data that are not readily apparent in the original tabular format. …”
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Design of Two Phase DC-AC Interleaved Boost Inverter with Voltage Control System using PI Controller by Juan Marco Alexander Wasiatno, Leonardus Heru Pratomo

“…DC-DC Interleaved Boost Converter (DC-DC IBC) topology was developed through the interleaving technique since conventional DC-DC Boost Converter has many problems related to complex circuit control, harmonics, and output power. …”
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A deep neural network for adaptive spatial smoothing of task fMRI data by Zhengshi Yang, Xiaowei Zhuang, Mark J. Lowe, Dietmar Cordes, Dietmar Cordes

“…A common preprocessing step in fMRI analysis is spatial smoothing, which helps in detecting cluster-like active regions. The use of a heuristically selected Gaussian filter for spatial smoothing is frequently preferred due to its simplicity and computational efficiency. …”
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Influence of the Microbial Metabolite Acetyl Phosphate on Mitochondrial Functions Under Conditions of Exogenous Acetylation and Alkalization by Natalia V. Beloborodova, Nadezhda I. Fedotcheva

“…In bacteria, it also functions as a donor of acetyl and phosphoryl groups in the nonenzymatic protein acetylation and signal transduction. In host, AcP was detected as an intermediate of the pyruvate dehydrogenase complex, and its appearance in the blood was considered as an indication of mitochondrial breakdown. …”
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Process for Simultaneous Removal of S₈, DBDS, and PCBs From Mineral Insulating Oils by Dejan M. Kolarski, Jelena M. Lukic, Jelena U. Jankovic, Sandra B. Glisic, Aleksandar M. Orlovic

“…The integration of S8 removal process with the KOH/PEG complex enables the simultaneous removal of S8, DBDS, and PCBs, with no residual metal particles detected in the oil following the treatment. …”
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An automated construction method of 3D knowledge graph based on multi-agent systems in virtual geographic scene by Yukun Guo, Jun Zhu, Jianlin Wu, Jinbin Zhang, Zhihao Guo, Weilian Li, Heng Zhang

“…However, the multitude of object types and complex relationships they contain make it challenging to display embedded geographic knowledge. …”
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Highly parallel optimisation of chemical reactions through automation and machine intelligence by Joshua W. Sin, Siu Lun Chau, Ryan P. Burwood, Kurt Püntener, Raphael Bigler, Philippe Schwaller

“…Our approach effectively navigates the complex reaction landscape with unexpected chemical reactivity, outperforming traditional experimentalist-driven methods. …”
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