Resection of a pancreatic capillary lymphatic malformation through a partial pancreatectomy: a case report by Shigeto Ochiai, Koichi Tomita, Masashi Nakagawa, Itsuki Koganezawa, Kei Yokozuka, Takahiro Gunji, Kosuke Hikita, Yosuke Ozawa, Toshimichi Kobayashi, Toru Sano, Rina Tsutsui, Naokazu Chiba, Midori Wakiya, Hiroshi Hirano, Shigeyuki Kawachi

“…Contrast-enhanced dynamic computed tomography (CT) scan revealed that the tumor in the pancreatic uncinate process had a poor contrast effect in the arterial phase and a small contrast effect in the equilibrium phase, which are suggestive of a benign disease-like vascular malformation. …”
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Optimal Power Flow for High Spatial and Temporal Resolution Power Systems with High Renewable Energy Penetration Using Multi-Agent Deep Reinforcement Learning by Liangcai Zhou, Long Huo, Linlin Liu, Hao Xu, Rui Chen, Xin Chen

“…Furthermore, the proposed DRL model significantly accelerates computation, achieving up to 85 times faster processing than MATPOWER.…”
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A Deep Learning Approach for Image Analysis and Reading Body Weight From Digital Scales in Pigs Farms by Nicolas A. Reyes-Reyes, Mihai Catalin Doja, Pol Llagostera-Blasco, Lluis M. Pla-Aragones, Marcela C. Gonzalez-Araya

“…Traditionally, pig weighing is done directly, i.e. placing one or more pigs at a time on a scale while the total body weight is displayed and recorded. However, this process is labor-intensive, causes stress to the animals, and is highly prone to manual recording errors. …”
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A generalized superposition-based method for loss allocation in active distribution networks: Introducing effective current concept by Mohammad Bayat, Masoud Aghabigloo, Ali Asghar Ghadimi

“…The proposed approach eliminates the limitations and computational burden associated with traditional methods, ensuring fairness and transparency. …”
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Comparative analysis of machining and electropolishing for surface quality improvement of shape memory nitinol samples additively manufactured by laser powder bed fusion by Rodrigo Zapata Martínez, Shohom Bose-Bandyopadhyay, Alan Burl, Óscar Contreras-Almengor, Carlos Aguilar Vega, Kyle Saleeby, Thomas Kurfess, Andrés Díaz Lantada, Jon Molina-Aldareguia

“…This study examines the use of machining as a post-processing method to achieve uniform material removal and maintain geometric fidelity. …”
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Degradation mechanism of coal pillars in an underground coal gasification environment: Bearing capacity, pyrolysis behaviour and pore structure by Jian Li, Jinwen Bai, Guorui Feng, Erol Yilmaz, Yanna Han, Zhe Wang, Shanyong Wang, Guowei Wu

“…The pyrolysis reaction process and microstructure evolution were characterized via X-ray diffractometer (XRD), scanning electron microscope (SEM), thermogravimetric (TG), Fourier transform infrared spectroscopy (FTIR), and computed tomography (CT) tests. …”
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Numerical Simulation of Flexural Deformation Through an Integrated Cosserat Expanded Constitutive Model and the Drucker–Prager Criterion by Naining Bai, Jiancheng Zhang, Zikang Jia, Xueguo Jiang, Xinping Gong

“…The Cos-SDA is achieved by implanting the strong discontinuity approach (SDA) into the computational framework of the Cosserat continuum finite element approach (Cos-FEA). …”
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A Photonics-Based Coherent Dual-Band Radar for Super-Resolution Range Profile by Shaowen Peng, Shangyuan Li, Xiaoxiao Xue, Xuedi Xiao, Dexin Wu, Xiaoping Zheng

“…The sharing of a single transceiver for signals with different bands ensures perfect stability and coherence among the waveforms, which makes it possible to realize a super-resolution range profile by fusion of dual-band signals without heavy computation on phase compensation. In the experiment, the radar operates in <italic>S</italic>-band with a bandwidth of 1.5&#x00A0;GHz and <italic>X</italic>-band with a bandwidth of 3&#x00A0;GHz, and results show its range resolution is up to 1.6&#x00A0;cm by coherent fusion processing, which is nearly corresponding to the resolution gotten by a linear frequency modulated wave with a bandwidth of 9.5&#x00A0;GHz ranging from 2&#x00A0;GHz to 11.5&#x00A0;GHz, much higher than the scenario when the radar is operated in the single-band mode. …”
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Inhibiting heme piracy by pathogenic Escherichia coli using de novo-designed proteins by Daniel R. Fox, Kazem Asadollahi, Imogen Samuels, Bradley A. Spicer, Ashleigh Kropp, Christopher J. Lupton, Kevin Lim, Chunxiao Wang, Hari Venugopal, Marija Dramicanin, Gavin J. Knott, Rhys Grinter

“…Heme extraction by ChuA is a dynamic process, with the transporter capable of rapidly extracting heme from hemoglobin in the absence of an external energy source, without forming a stable ChuA-hemoglobin complex. …”
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Portable astronomical observation system based on large-aperture concentric-ring metalens by Jianli Wang, Yongting Deng, Chengmiao Wang, Yu Lin, Yeming Han, Junchi Liu, Xiufeng Liu, Hongwen Li, Jan G. Korvink, Yongbo Deng

“…Compared to global structural optimization, this approach reduces computational resources and time consumption by several orders of magnitude while maintaining nearly identical focusing efficiency. …”
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Surgical Treatment of Purulent Complications and Widespread Paraprosthetic Infection in the Area of the Mesh Prosthesis After Laparoscopic Transabdominal Preperitoneal Hernioplasty... by H.M.H. Karkhani, E. A. Gallyamov, A. S. Vorotyntsev, A. Yu. Emelyanov, D.M.E. Henein, A. B. Shalygin, B. Sharma

“…The purpose of our article is to draw the attention of surgeons to the possibility of a rare infectious complication in the area of the synthetic mesh prosthesis after right laparoscopic preperitoneal hernioplasty for inguinal hernia 4 months after the initial operation, after which the infectious process may spread from the area of the infected prosthesis into the abdominal cavity. …”
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Implementation of a Flexible Real-Time Radar Architecture of Vital Signs Based on Cyclic Temporal Moment Algorithms Using SDR Technology by Fatima Sekak, Fouzia Elbahhar, Madjid Haddad

“…Various algorithms can be employed for this purpose, and the choice depends on factors, such as accuracy, computational efficiency, and the application&#x2019;s specific requirements. …”
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Evaluating large language models and agents in healthcare: key challenges in clinical applications by Xiaolan Chen, Jiayang Xiang, Shanfu Lu, Yexin Liu, Mingguang He, Danli Shi

“…Advances in LLM agents further broaden their utility by enabling multimodal processing and multitask handling in complex clinical workflows. …”
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Dynamic Correction of Preview Weighting in the Driver Model Inspired by Human Brain Memory Mechanisms by Chang Li, Hengyu Wang, Bo Yang, Haotian Luo, Jianjin Liu, Wei Zheng

“…Driver models, which provide mathematical or computational representations of human driving behavior, are crucial for intelligent driving systems by enabling stable and repeatable operations. …”
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Age related gut microbiota regulates energy-related metabolism to influence natural aging phenotypes in the heart by Shufen Wu, Lingran Qiao, Haiyan Liu, Yan-Li Li, Rui Wang, Yiru Yin, Enhui Li, Lele Wang, Xiaoya Guan, Litian Yin, Qinghua Liu, Xiaoyang Peng, Yutong Zhang, Zhuanfang Yang, Lin Zuo, Ce Zhang

“…Animal models of fecal microbiota transplantation (FMT) were established in elderly and young rats. 16S rRNA sequencing revealed that the gut microbiota of the recipients shifted toward the profile of the donors, with concomitant cardiac structure and diastolic function changes detected via ultrasound and positron emission tomography–computed tomography (PET–CT). A group of significantly enriched myocardial metabolites detected by LC/MS were involved in the fatty acid β-oxidation process. …”
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An integrated expert recommender system approach to environmental service priorities in renewable energy by Serhat Yüksel, Hasan Dinçer, Ümit Hacıoğlu, Jaehyung An, Alexey Mikhaylov, Zuleima Karpyn

“…After that, M-SWARA based on QUSFSs with golden cut is used to compute the weights of these factors. Finally, the components of the service design are ranked by TOPSIS approach. …”
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Dynamic Retrieval Augmented Generation of Ontologies using Artificial Intelligence (DRAGON-AI) by Sabrina Toro, Anna V. Anagnostopoulos, Susan M. Bello, Kai Blumberg, Rhiannon Cameron, Leigh Carmody, Alexander D. Diehl, Damion M. Dooley, William D. Duncan, Petra Fey, Pascale Gaudet, Nomi L. Harris, Marcin P. Joachimiak, Leila Kiani, Tiago Lubiana, Monica C. Munoz-Torres, Shawn O‘Neil, David Osumi-Sutherland, Aleix Puig-Barbe, Justin T. Reese, Leonore Reiser, Sofia MC. Robb, Troy Ruemping, James Seager, Eric Sid, Ray Stefancsik, Magalie Weber, Valerie Wood, Melissa A. Haendel, Christopher J. Mungall

“…Conclusions These findings suggest DRAGON-AI's potential to substantially aid the manual ontology construction process. However, our results also underscore the importance of having expert curators and ontology editors drive the ontology generation process.…”
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Fitness exercise evaluation system based on improved DTW algorithm by Tinghang Guo, Qianhan Yin, Xinlin Liu, Yue Sun, Zhuanping Qin, Yu Han, Guangda Lu

“…Abstract Fitness movement recognition and evaluation systems play a crucial role in accurately, quantitatively, and efficiently guiding the fitness process, thereby enhancing fitness effectiveness and safety.However, existing research in this area still has some drawbacks, such as high computational complexity, insufficient real-time performance, and low stability. …”
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Scatter Search for Optimal Sizing of a Hybrid Renewable Energy System for Scheduling Green Hydrogen Production by Andrés Cacereño, Begoña González Landín, Antonio Pulido, Gabriel Winter, José Andrés Moreno

“…At present, energy demands are mainly covered by the use of fossil fuels. The process of fossil fuel production increases pollution from oil extraction, transport to processing centers, treatment to obtain lighter fractions, and delivery and use by the final consumers. …”
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Exploring the Effectiveness of Machine Learning and Deep Learning Techniques for EEG Signal Classification in Neurological Disorders by Souhaila Khalfallah, William Puech, Mehdi Tlija, Kais Bouallegue

“…In conclusion, this research highlights the effectiveness of ML and DL techniques in EEG signal processing, offering valuable contributions to the field of brain-computer interfaces and advancing the potential for more accurate neurological disease classification and diagnosis.…”
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