Distribution Generation Network Arrangement by Capacitor Placement and Sizing in Renewable Energy Sources with Uncertainties Based on Self-adaption Kho-Kho Optimizer by Lu Xingxing

“…Using a self-adaptive Kho-Kho optimizer, the research aims to minimize operational costs while improving technical parameters, such as voltage stability and loss reduction. …”
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Electric field variations across DLPFC targeting methods in TMS therapy for Alzheimer’s disease by Nianshuang Wu, Yuxuan Shao, Zhen Wu, Shuxiang Zhu, Penghao Wang, Ziyan Zhu, Cheng Zhang, Changzhe Wu, Xiaolin Huo, Hua Lin, Guanghao Zhang

“…Conclusion: This study reveals key E-field disparities across DLPFC targeting approaches and establishes coil orientation optimization as a critical strategy to improve TMS precision, offering actionable insights for developing personalized protocols in AD therapy that may enhance treatment efficacy while minimizing adverse effects.…”
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‘Line’ Constraints Optimization for Improved Dose Distribution in Locally Recurrent Nasopharyngeal Carcinoma Using Knowledge-Based Planning by Xiaoli Yu MD, Yixuan Wang MD, Mingli Wang MD, Huikuan Gu MD, Xin Yang PhD, Jiang Hu MD

“…Introduction To investigate the efficacy of a knowledge-based planning (KBP) model in optimizing dose distribution, and identify the inter-institutional variation in radiotherapy of recurrent nasopharyngeal carcinoma (rNPC). …”
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Research and application of deep learning object detection methods for forest fire smoke recognition by Luhao He, Yongzhang Zhou, Lei Liu, Yuqing Zhang, Jianhua Ma

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The Application of Simulation – optimization Approaches in Water Transmission Line of Bistoun Dam to Have Integrated Planning of Water Resource by Sara Heshmati, Rasoul Ghobadiyan, Seyed Ehsan Fatemi

“…There are two main categories of models including simulation and optimizing models. However, optimizing models are used to design water utility systems, hence; they are not more appropriate for large systems for water resources because they need a long-term application. …”
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Optimal timing for assessing post-intensive care syndrome in clinical research: a scoping review and expert survey by Kohei Tanaka, Nobuto Nakanishi, Keibun Liu, Kyohei Miyamoto, Akira Kawauchi, Masatsugu Okamura, Sho Katayama, Yuki Iida, Yusuke Kawai, Junji Hatakeyama, Toru Hifumi, Takeshi Unoki, Daisuke Kawakami, Fumimasa Amaya, Kengo Obata, Hidenori Sumita, Tomoyuki Morisawa, Norihiko Tsuboi, Ryo Kozu, Shunsuke Takaki, Junpei Haruna, Kohei Ota, Yoshihisa Fujinami, Nobuyuki Nosaka, Kasumi Shirasaki, Shigeaki Inoue, Osamu Nishida, Kensuke Nakamura

“…Experts most commonly selected the period between 6 and 12 months as the optimal time point for assessment. While single assessments were most common in previous studies (337, 51%), experts considered three assessments to be ideal (12, 44%). …”
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A bilevel interactive energy trading method for distribution networks incorporating multiple microgrids by LIN Da, CHEN Zhe, LI Zhihao, WANG Xiangjin, TANG Yajie, QIN Jiakai

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Study of Antarctic Sea Ice Based on Shipborne Camera Images and Deep Learning Method by Xiaodong Chen, Shaoping Guo, Qiguang Chen, Xiaodong Chen, Shunying Ji

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Statistical learning-driven parameter tuning in injection molding using modified simplex method by Pongchanun Luangpaiboon, Walailak Atthirawong, Anucha Hirunwat, Pasura Aungkulanon

“…Nonlinear interactions and quality inconsistencies are frequently encountered by existing methods. The Statistical Learning-Driven Modified Simplex Method (SLMSM) is a novel hybrid optimization framework that is introduced to resolve this gap. …”
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Invulnerability bias in perceptions of artificial intelligence’s future impact on employment by Felipe Barrera-Jimenez, Jose Luis Arroyo-Barrigüete, Eduardo C. Garrido-Merchán, Gonzalo Grinda-Luna

“…Furthermore, bias levels vary across professional sectors: healthcare, law, and public administration exhibit the highest IB, while technology-related professions show lower levels. …”
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Future of Agrivoltaic projects: A review from the technological forecasting perspective by Leticia Pekk, Petar Sabev Varbanov, Ting Pan, Zoltan Weltsch, Bernadett Radli-Burjan, Andras Hary, Xue-Chao Wang

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Multi scale fusion point cloud denoising method based on improved statistical filtering by Guisheng DAI, Tianshan SUN

“…This study proposes a multi-scale fusion point cloud denoising method based on improved statistical filtering using a joint optimization approach of curvature and statistical filtering. …”
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Investigating the Hydraulic Efficiency of the Labyrinth Weir Using the Flow3D Numerical Method by R. Daneshfaraz, M. Majedi Asl, T. OmidPour Alavian

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Intelligent Counterforce Allocation Method Using Multi-Agent Reinforcement Learning for Ground Operations by Kiwoong Park, Sangheun Shim

“…Modern military operations require commanders to make complex tactical decisions involving the effective allocation of multiple friendly forces to counter enemy threats while managing diverse streams of battlefield information. …”
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Character-Level Adversarial Samples Generation Method Based on Dual-Layer Text Watermark by Houyue Wu, Xianwei Li, Shunxiang Zhang, Honghao Zhu

“…This approach ensures that the generated samples significantly reduce the performance of target models while preserving semantic meaning. Experiments on four benchmark datasets show that our method outperforms state-of-the-art baselines. …”
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Sampling Method Based on Fuzzy Membership for Computing Negative Sample Credibility and Its Applications by Zhijie Ning, Yongbo Tie

“…The results are as follows: (1) Increasing the credibility threshold progressively improves model precision while inducing systematic overestimation bias in regional susceptibility assessment; (2) Integrated analysis of model performance and landslide distribution characteristics (where recall, F1-score, and AUC values initially increase then decrease) confirms the optimal effectiveness when selecting negative samples within a credibility threshold range of 0.7–1.0. …”
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Battery Cell Charging Behavior Analysis Using Constant Current and Constant Voltage Methods by Anna Cyntia, Muhammad Imran Hamid, Ayu Elsa Afriyanti

“…While CC/CV offers optimal management for lithium-ion battery charging, future research can focus on investigating the long-term effects of CC/CV on battery life under various environmental conditions, considering the findings and methodologies of similar studies.…”
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Evolving Anatomy Education: Bridging Dissection, Traditional Methods, and Technological Innovation for Clinical Excellence by Luis Alfonso Arráez-Aybar

“…This paper underscores the need for continued adaptation in anatomy education to align with the demands of modern medicine while preserving its core educational values.…”
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A Programmable Gain Calibration Method to Mitigate Skin Tone Bias in PPG Sensors by Connor MacIsaac, Macros Nguyen, Alexander Uy, Tianmin Kong, Ava Hedayatipour

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Dual-context enhanced knowledge representation learning method in hyper-relational knowledge graphs by Jiahang Li, Qilong Han, Dan Lu, Lijie Li

“…Abstract In hyper-relational knowledge graphs (HKGs), learning effective knowledge representation using qualifiers improves the accuracy of tasks. Most methods use shared embeddings for qualifiers and triples that ignore their distinct roles and cause semantic confusion, while the unique structure of HKGs introduces complex contexts that make it a challenge to explore semantics deeply. …”
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