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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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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Aero-Engine Blade Defect Detection: A Systematic Review of Deep Learning Models by Yusra Abdulrahman, M. A. Mohammed Eltoum, Abdulla Ayyad, Brain Moyo, Yahya Zweiri

“…The visual inspection of aero-engine blades is a complex process that requires extensive knowledge and experience. …”
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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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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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Aerobic oxidative bromination and iodination enabled by alloxan and ascorbic acid to mimic flavin-dependent halogenases by Shiqi Zhang, Guang-xun Li, Dongmei Fang, Xia Zhang, Shangjing Chen, Xin Cui, Zhuo Tang

“…This approach yields various important monobromide and iodide products with high efficiency, excellent selectivity, and good functional group tolerance. …”
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Multi-objective programming method for ship weather routing based on fusion of A* and NSGA-II by Yuankui LI, Jiyuan SUO, Dongye YU, Xinyu ZHANG, Fang YANG, Xuefeng YANG

“…All routes can successfully avoid areas with severe weather conditions, and the most suitable route for the ship can be selected according to the decision-makers' needs. ConclusionIn summary, the proposed method can be applied to optimize ship ocean routes under multiple constraint conditions and identify routes that meet the voyage objectives, thereby reducing operational costs, improving shipping efficiency and providing support for ship meteorological navigation and future intelligent ship navigation.…”
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Copper-catalyzed enantioselective three-component radical 1,4-perfluoroalkylamination of 1,3-dienes by Xiaoyan Shangguan, Lihan Zhu, Yingzi Zhang, Yan Li, Qian Zhang

“…Abstract Catalytic enantioselective three-component aminative difunctionalization of readily available 1,3-dienes offers a straightforward methodology to fast access significant and complex chiral allylic amines. Nevertheless, compared to the widely studied two-component reactions, the three-component reactions, especially using anilines—very common bulk feedstock chemicals as aminating reagents are underdeveloped. …”
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Generalized MPC-DSVPWM Methods: Reduction Techniques and Explainable Machine Learning With Conformal Prediction for PMSM Drives by Hasan Ali Gamal Al-Kaf, Sadeq Ali Qasem Mohammed, Kyo-Beum Lee

“…Additionally, machine learning methods have been implemented; however, they require complex optimization methods, as the classification number increases exponentially with the level of the inverter. …”
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A Dual-channel Progressive Graph Convolutional Network via subgraph sampling by Wenrui Guan, Xun Wang

“…Graph Convolutional Networks (GCNs) demonstrate an excellent performance in node classification tasks by updating node representation via aggregating information from the neighbor nodes. Note that the complex interactions among all the nodes can produce challenges for GCNs. …”
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Diversity of Drosophila egg patterning: The missing tools to explore embryonic axis formation by Helen L. Stott, Nir Yakoby, Nir Yakoby

“…We address current challenges in achieving these goals, such as genetic markers, selectable markers, and the efficiency of CRISPR/Cas9 mediated genomic editing.…”
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A Convex Variational Interactive Model with Projection Method for Digital Images Partitioning by Abdul Kadir Jumaat, Mohamed Ammareza Mohamed Shariff, Nuruljannah Khairunnizam

“…This stems from the utilisation of a complex penalty term and the approximation of the regularisation term during the energy minimisation phase, which also impacts the accuracy of the partitioning results. …”
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Engineering in NIR‐responsive photothermal materials and their application in wound healing administration by Alsharafi Bassam, Mengxuan Du, Yuan Li, Xiaojun He

“…Abstract Wound healing is a complex process that involves multiple stages and is susceptible to various challenges, such as infection, insufficient blood flow, and the body's inadequate response to the healing process, which can be life‐threatening for the patient. …”
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A LightGBM-Based Power Grid Frequency Prediction Method with Dynamic Significance–Correlation Feature Weighting by Jie Zhou, Xiangqian Tong, Shixian Bai, Jing Zhou

“…Accurate grid frequency prediction is essential for maintaining the stability and reliability of power systems. However, the complex dynamic characteristics of grid frequency and the nonlinear correlations among massive time series data make it challenging for traditional time series prediction methods to balance efficiency and accuracy. …”
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A Novel Dangerous Goods Detection Network Based on Multi-Layer Attention Mechanism in X-Ray Baggage Images by Xu Yang, Ting Lan, Yili Xu

“…This paper proposes a novel dangerous goods detection network (DGDN) designed to address the challenges of detecting dangerous goods in complex X-ray baggage images. In the network, a multilevel refinement (MR) module is designed to improve multi-level feature representation, enabling the network to capture varied goods sizes and overlapping structures effectively. …”
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Heat Transfer and Pressure Loss Performance of Additively Manufactured Metamaterials in Annular Channels by Emanuele Vaglio, Federico Scalzo, Marco Sortino, Luca Casarsa

“…Additive manufacturing is revolutionizing the production of thermo-fluidic devices by enabling the creation of a wide variety of complex architectures, significantly enhancing performance and efficiency. …”
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