Polishing performance of magnetorheological elastomer pad for single-crystal silicon by Changsheng Li, Xiaohong Gao, Yusheng Zang, Zhaoxiang Chen, Jianjun Ding, Shuming Yang, Zhuangde Jiang

“…This model provides a foundation for predicting the quality of polished surfaces and optimizing the preparation process of polishing pads.…”
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Comparison of Postoperative Analgesic Profiles Between Transversus Abdominis Plane Block and Local Wound Infiltration in Living Donor Kidney Transplantation Recipients: A Propensit... by Min Suk Chae, Kyung Kwan Lee, Jin-Oh Jeong, Wonwoo Jeong, Young Wook Moon, Ji Young Min

“…Effective postoperative pain management is crucial for optimizing recovery and clinical outcomes in living donor kidney transplantation (LDKT). …”
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Interaction effects in microbiota-filter media-pharmaceutical in biofilm-based reactors: a case study of anoxic biofilters by Rui Ma, Han Zhao, Ying Zhao, Lili Jin, Hui Huang, Hongqiang Ren

“…The removal of micropollutants, particularly pharmaceuticals, from wastewater remains a significant challenge due to their persistence and complex degradation mechanisms. Biofilm-based systems offer a promising solution due to their high microbial diversity and metabolic versatility. …”
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Evaluating the impact of deep learning approaches on solar and photovoltaic power forecasting: A systematic review by Oussama Khouili, Mohamed Hanine, Mohamed Louzazni, Miguel Angel López Flores, Eduardo García Villena, Imran Ashraf

“…Accurate solar and photovoltaic (PV) power forecasting is essential for optimizing grid integration, managing energy storage, and maximizing the efficiency of solar power systems. …”
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A systematic review of data privacy in Mobility as a Service (MaaS) by Zineb Garroussi, Antoine Legrain, Sébastien Gambs, Vincent Gautrais, Brunilde Sansò

“…This systematic review identifies key data privacy concerns, evaluates current privacy-preserving technologies, and explores the role of regulatory frameworks in ensuring user privacy in MaaS systems. Using the PRISMA framework, a comprehensive literature search across Web of Science, Elsevier, and IEEE Xplore databases resulted in the selection of 32 studies for detailed analysis.The review is structured around three main themes: (1) Privacy-Preserving Techniques, including anonymization strategies (k-anonymity, differential privacy, obfuscation), encryption methods (blockchain, cryptographic protocols), federated learning for decentralized data processing, and advanced algorithms for optimizing privacy budgets and balancing utility-privacy trade-offs; (2) User Trust and Privacy Perceptions, highlighting that trust in service providers is essential for MaaS adoption, privacy concerns may impact adoption but do not necessarily prevent it (the “privacy paradox”), and awareness of data misuse affects user trust and willingness to adopt MaaS; and (3) Regulatory Frameworks, focusing on the importance of GDPR compliance to ensure strict data protection through consent and transparency, and embedding privacy-by-design principles within MaaS architectures to safeguard user data from the outset.This review emphasizes the need for a holistic approach, integrating technological innovation, user-centered design, and strong regulatory oversight to effectively address privacy challenges in MaaS. …”
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Integrating experimental and theoretical approaches for enhanced machine learning modeling of solar radiation by Nader Ghareeb, Abeer Alanazi, Ahmad Sedaghat, Mohamad Hussein Farhat, Arash Mehdizadeh, Hayder Salem, Mohammad Nazififard, Ali Mostafaeipour

“…This study presents a novel hybrid framework for estimating solar radiation components—critical for optimizing solar energy systems—by integrating theoretical solar parameters with meteorological data, an approach seldom explored in literature. …”
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Synthesizing Explainability Across Multiple ML Models for Structured Data by Emir Veledar, Lili Zhou, Omar Veledar, Hannah Gardener, Carolina M. Gutierrez, Jose G. Romano, Tatjana Rundek

“…This approach acknowledges that any single model is a simplification of complex, multidimensional phenomena; using multiple diverse models, each optimized from a different perspective, WISFC systematically captures different facets of the problem space to create a more structured and comprehensive view. …”
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Controversies and evidence gaps in the early management of severe traumatic brain injury: back to the ABCs by Seif Tarek El-Swaify, Mazen A Refaat, Sara H Ali, Abdelrahman E Mostafa Abdelrazek, Pavly Wagih Beshay, Menna Kamel, Bassem Bahaa, Abdelrahman Amir, Ahmed Kamel Basha

“…The potentially preventable secondary injury can be accentuated by addressing systemic insults. Early recognition and prompt intervention are integral to achieve better outcomes. …”
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Time series modelling and forecasting of mpox incidence and mortality in Nigeria by Emmanuel Afolabi Bakare, Oluwaseun Akinlo Mogbojuri, Dolapo Oluwaseun Oniyelu, Afeez Abidemi, Deborah Oluwatobi Daniel, Idowu Isaac Olasupo, Samuel Abidemi Osikoya, Aaron Onyebuchi Nwana, Ronke Dorcas Olorunfemi, Samson Oluwafemi Olagbami

“…The findings will ultimately improve focused interventions and knowledge of mpox outbreak patterns by guiding public health policy, allocating resources optimally, and preparing health systems for potential outbreaks.…”
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Synergistic Effects of Flower Color and Mechanical Barriers on Pollinator Selection Within the Papilionoideae of Fabaceae by Xiang Zhao, Ruochun Gao, Jie Bai, Jing Rong, Xuexia Wei, Hairong Wang, Xiaojuan Zhu, Kun Sun, Qinzheng Hou

“…Current understanding of synergistic trait effects in plant–pollinator systems remains limited, particularly regarding combined visual and mechanical screening mechanisms. …”
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Study on risk contagion between rare earth and new energy-related metals markets from the perspective of co-production and co-consumption by Renrui Zheng, Renrui Zheng, Hao Nong, Qishen Chen, Liuguo Shao, Liuguo Shao, Hongtao Zhang, Yanfei Zhang, Yanfei Zhang

“…Frequency-domain analysis highlights the rare earth market’s dominant role in long- and short-term spillovers, with significant external spillover effects.DiscussionThe results underscore the rare earth market's critical influence on new energy metal markets, suggesting that investors should closely monitor its dynamics to optimize risk management. The study provides policymakers and market participants with insights into risk transmission mechanisms and the systemic role of rare earths in the global economy.…”
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CBGS-YOLO: A Lightweight Network for Detecting Small Targets in Remote Sensing Images Based on a Double Attention Mechanism by Zhenyuan Wu, Di Wu, Ning Li, Wanru Chen, Jie Yuan, Xiangyue Yu, Yongqiang Guo

“…Hence, in this paper, we propose a lightweight remote-sensing image target detection network model, CBGS-YOLO, created by introducing the Ghost module to decrease the model parameters, applying the SPD-Conv module to optimize downsampling, and integrating the convolutional block attention module to enhance detection accuracy. …”
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Sustainable poultry farming practices: a critical review of current strategies and future prospects by Ramesh Bahadur Bist, Keshav Bist, Sandesh Poudel, Deepak Subedi, Xiao Yang, Bidur Paneru, Sudhagar Mani, Dongyi Wang, Lilong Chai

“…Additionally, it discusses optimizing feed efficiency, an alternate energy source (solar photovoltaic/thermal), effective waste management, and the importance of poultry welfare. …”
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Pentraxin-3 as a Biomarker in Diabetes Mellitus: Insights into Inflammation, Vascular Complications, and Modulation by Antidiabetic Medications by Roxana-Cristina Dobriceanu, Andreea Daniela Meca, Ianis Kevyn Stefan Boboc, Liliana Mititelu-Tartau, Mihaela Simona Naidin, Adina Turcu-Stiolica, Maria Bogdan

“…Diabetes mellitus (DM) is a multifactorial metabolic disorder associated with systemic inflammation and vascular complications. Pentraxin-3 (PTX3) has emerged as a key biomarker of inflammation and endothelial dysfunction in DM. …”
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Advancing Osteoarthritis Treatment: The Therapeutic Potential of Mesenchymal Stem Cell-Derived Exosomes and Biomaterial Integration by Chung-Hua Chu, Ru-Ping Lee, Wen-Tien Wu, Ing-Ho Chen, Kuang-Ting Yeh, Chen-Chie Wang

“…Future directions should focus on optimizing delivery systems, exploring personalized medicine approaches, and conducting comparative effectiveness studies to fully realize the potential of exosome therapies for OA treatment. …”
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Investigating hydrocarbon potential utilizing isopach maps in the paleo-environment of the external Fars region, Zagros fold-thrust belt by Mina Farzaneh, Zahra Maleki, Mehran Arian, Mohammad Ali Ganjavian, Pooria Kianoush

“…These findings have significant implications, providing a foundation for refining exploration and production strategies to optimize hydrocarbon extraction in this energy-rich region. …”
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Viterbi-Viterbi Carrier Phase Estimation for Multi-Ring <inline-formula><tex-math notation="LaTeX">$M$</tex-math></inline-formula>-APSK With Wiener Carrier Phase Noise and Its Perf... by Qian Wang, Wenqiang Ma, Li Ping Qian, Xinwei Du, Changyuan Yu, Pooi-Yuen Kam

“…The design is based on the linear minimum mean square error (LMMSE) criterion to optimize the weight coefficients with respect to the statistics of Wiener phase noise and additive, white, Gaussian noise. …”
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Cryptogenic pituitary abscess: Two case reports from Indonesia highlighting diagnostic challenges and atypical clinical-radiological features by Donny Wisnu Wardhana, Farhad Balafif, Tommy Alfandy Nazwar, Fachriy Balafif, Ibrahim Yusuf Nasution, Saddam Husein Saputra, Koernia Hezkia Yonathan, Anisa Nur Kholipah

“…We emphasize the importance of a thorough medical history and a multidisciplinary approach to optimize outcomes. Long-term radiological and clinical monitoring is essential for detecting potential recurrence or complications.…”
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Elucidation of Desensitization Mechanisms Induced by Oral Immunotherapy in a Rat Model of Ovalbumin Allergy by Daigo Takizawa, Tomoharu Yokooji, Chika Miyamoto, Yuki Koga, Keisuke Oda, Ryohei Ogino, Takanori Taogoshi, Hiroaki Matsuo

“…Our model is useful for understanding the mechanisms of OIT and optimizing therapeutic strategies for ameliorating food allergies.…”
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Artificial Intelligence in Education: Analysis and Assessment of Legal Knowledge Using AI Tools by Anvar J. Khurramov, Mavluda A. Axmedshaeva, Fiyuza A. Mukhitdinova, Gulnora A. Xudayberdiyeva, Shahnoza S. Almosova, Makhmud M. Makhamatov, Sherzod R. Khayitov

“…Findings reveal substantial optimism toward AI's capacity to personalize learning and enhance analytical thinking, though participants expressed strong concerns about ethical oversight, legal ambiguity, and unequal access to technology. …”
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