Disease management teams in oncology: State of the art and the experience of a scientific institute of hospitalization and treatment (IRCCS) in Rome, Italy by Marialuisa Appetecchia, Carlotta Amantea, Marco Canfora, Fabrizio Petrone, Gennaro Ciliberto, Ermete Gallo, Laura Figorilli

“…Methods: The study focuses, in particular, on the analysis of the different organizational methods chosen for the management of activities related to diagnosis and treatment paths. Results: The results, although preliminary, highlight a great variability in the adoption of integrated organizational models by the different DMTs compatible with the heterogeneity of oncological diseases. …”
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Explicit Function Model of Electromagnetic Reliability for CMOS Inverters Under HPM Coupling Based on Physical Mechanism Analysis and Neural Network Algorithm by Huikai Chen, Jinbin Pan, Shulong Wang, Liutao Li, Jin Huang, Shupeng Chen, Hongxia Liu

“…Currently, commonly used compact device models for CMOS inverters lack an explicit functional model that can efficiently describe the specific physical processes of HPM-coupled voltage excitation damaging the inverter. …”
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Research on Obstacle-Avoidance Trajectory Planning for Drill and Anchor Materials Handling by a Mechanical Arm on a Coal Mine Drilling and Anchoring Robot by Siya Sun, Sirui Mao, Xusheng Xue, Chuanwei Wang, Hongwei Ma, Yifeng Guo, Haining Yuan, Hao Su

“…At present, China’s coal mine permanent tunneling support commonly uses mechanized drilling and anchoring equipment; there are low support efficiency, labor intensity, and other issues. In order to further improve the support efficiency and liberate productivity, this paper further researches the trajectory planning of the drilling and anchoring materials of the robotic arm for the drilling machine “grasping–carrying–loading–unloading” on the basis of the drilling and anchoring robotic system designed by the team in the previous stage. …”
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Integration of Machine Learning and Wavelet Algorithms for Processing Probing Signals: An Example of Oil Wells by Zukhra Abdiakhmetova, Zhanerke Temirbekova

“…However, one of the major technical challenges in processing digital sounding signals is the complexity of wave propagation paths, which can be influenced by multiple factors such as subsurface heterogeneity, noise interference, and signal attenuation. …”
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A Hybrid Approach for Reachability Analysis of Complex Software Systems Using Fuzzy Adaptive Particle Swarm Optimization Algorithm and Rule Composition by Nahid Salimi, Seyfollah Soleimani, Vahid Rafe, Davood Khodadad

“…To further enhance accuracy, a Fuzzy Adaptive Particle Swarm Optimization algorithm is introduced to determine which states and paths should be explored at each step-in order to find the corresponding reachable state. …”
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Research on rechargeable agricultural wireless sensor network based on ZigBee immune routing repair algorithm by Ruipeng Tang, Yinhe Wu, Jun Tan, Binghong Guan, Narendra Kumar Aridas, Mohamad Sofian Abu Talip

“…These quantitative results show that the ZIRRA algorithm can improve the energy efficiency, transmission reliability and stability. …”
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Redefining dental image processing: De-convolutional component with residual prolonged bypass for enhanced teeth segmentation by Prasun Kumar, Verma Anil, Mishra Rajiv

“…RES model includes prolonged bypass paths that carry feature information across multiple layers. …”
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Ecological benefits of artificial vegetation restoration on local climate condition in abandoned mining area by Aishajiang Aili, Zhang Yuguang, Lin Tao, Xu Hailiang, Fabiola Bakayisire, Abdul Waheed, Zhang Qin

“…Using the Hybrid Single-Particle Lagrangian Integrated Trajectory model (HYSPLIT) backward trajectory model and Global Data Assimilation System (GDAS) meteorological data, the long-range movement paths of air masses reaching the study area were identified. …”
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Understanding and predicting forming quality of copper in incremental sheet forming: forming forces, material properties, and geometric deviation by Kai Han, Xiaoqiang Li, Yanle Li, Jinxin Zang, Junzhou Chen

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Teaching modelling of distributed information and control systems to students using the method of simulation modelling by A. V. Gabalin

“…The model also allows evaluating the performance of the system depending on the flight schedule, flight paths, characteristics of technical means, the system structure, failure of individual elements and depending on other parameters. …”
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Economic and environmental benefits of optimized waste transportation routes in Khulna by Ankon Baral, Islam M. Rafizul, Swadhin Das, Senta Berner

“…ArcGIS Pro was used to find the optimal paths and their lengths. Fuel usage and prices were estimated using simple fuel consumption rate calculations. …”
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Energy-saving and carbon-reducing effects of digital transformation in manufacturing enterprises: An empirical analysis based on questionnaire surveys of enterprises in China, Germ... by WANG Xiaofei, CHEN Ling

“…[Conclusion] This study confirms the energy-saving and carbon-reducing effects of digital transformation, which is realized through two influence paths: the production process and the management process. …”
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OPTIMIZING LAST-MILE DELIVERY BY DEEP Q-LEARNING APPROACH FOR AUTONOMOUS DRONE ROUTING IN SMART LOGISTICS by Pannee Suanpang, Pitchaya Jamjuntr

“…This paper implements a deep Q-learning paradigm that allows drones to relearn their flight paths and delivery strategy during the lifecycle, thereby reducing the cost in the long run while using the costing strategies as part of the re-engineering process. …”
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Joint Optimization of Multi-Period Empty Container Repositioning and Inventory Control Based on Adaptive Particle Swarm Algorithm by Jiaxin Cai, Ying Huang, Cuijie Diao, Zhihong Jin

“…By adopting the strategy, the selection of repositioning paths and inventory resource allocation are synergistically optimized to balance unit empty container rental costs, inventory costs, and repositioning costs. …”
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Mcaaco: a multi-objective strategy heuristic search algorithm for solving capacitated vehicle routing problems by Yanling Chen, Jingyi Wei, Tao Luo, Jie Zhou

“…Experimental indicators demonstrate that the breakthrough algorithm significantly addresses the issues of high costs and low efficiency prevalent in the practical logistics distribution industry.…”
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The Influence Mechanisms of Carbon Emissions for Prefabricated Buildings in the Context of China’s Urban Renewal by Shuyan Zhao, Xinru Qu, Xiaojing Zhao, Yongwei Zhang

“…Prefabricated buildings, known for their energy efficiency, environmental benefits, and industrial advantages, play a crucial role in urban renewal. …”
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Multiscale experimental study of H $$_2$$ /brine multiphase flow in porous rock characterizing relative permeability hysteresis, hydrogen dissolution, and Ostwald ripening by Maartje Boon, Tim Rademaker, Chandra Widyananda Winardhi, Hadi Hajibeygi

“…Abstract To safely and efficiently utilize porous reservoirs for underground hydrogen storage (UHS), it is essential to characterize hydrogen transport properties at multiple scales. …”
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Sign-Entropy Regularization for Personalized Federated Learning by Koffka Khan

“…By minimizing the entropy of gradient sign patterns during local updates, SER encourages smoother optimization paths, improves convergence stability, and enhances personalization. …”
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Lightweight Multi-Task Learning Method for System Log Anomaly Detection by Tuan-Anh Pham, Jong-Hoon Lee

“…While an individual log indicates an independent system status, combining multiple logs describes the execution paths of systems. Once the patterns of log sequences deviate much from normal execution behaviors, that might indicate system anomalies. …”
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OPTIMIZING LAST-MILE DELIVERY BY DEEP Q-LEARNING APPROACH FOR AUTONOMOUS DRONE ROUTING IN SMART LOGISTICS by Pannee Suanpang, Pitchaya Jamjuntr

“…This paper implements a deep Q-learning paradigm that allows drones to relearn their flight paths and delivery strategy during the lifecycle, thereby reducing the cost in the long run while using the costing strategies as part of the re-engineering process. …”
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