Integrative radiomics of intra- and peri-tumoral features for enhanced risk prediction in thymic tumors: a multimodal analysis of tumor microenvironment contributions by Liang zhu, Jiamin Li, Xuefeng Wang, Yan He, Siyuan Li, Shuyan He, Biao Deng

“…Abstract Objectives This study aims to explore the role of intra- and peri-tumoral radiomics features in tumor risk prediction, with a particular focus on the impact of peri-tumoral characteristics on the tumor microenvironment. Methods A total of 133 patients, including 128 with thymomas and 5 with thymic carcinomas, were ultimately enrolled in this study. …”
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Technical note: Applicability of physics-based and machine-learning-based algorithms of a geostationary satellite in retrieving the diurnal cycle of cloud base height by M. Wang, M. Min, J. Li, H. Lin, Y. Liang, B. Chen, Z. Yao, N. Xu, M. Zhang

“…Results show that the two ML-based algorithms exhibit markedly superior performance (the optimal method is with a correlation coefficient of <span class="inline-formula"><i>R</i></span> <span class="inline-formula">&gt;</span> 0.91 and an absolute bias of approximately 0.8 km) compared to the two physics-based algorithms. …”
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Research on innovative development path of oil and gas pipeline networks to facilitate the construction of new energy systems by Zhen WANG, Yinghao KONG

“…Ultimately, this enhancement is aimed at enabling the coordination and mutual advancement of various energy sources within a unified energy supply system. Methods By delving into China's current status concerning the construction and operation of oil and gas pipeline networks, alongside examining the typical features and developmental patterns of new energy systems, this paper sheds light on the functional orientation of oil and gas pipeline networks within new energy systems. …”
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Extraction of typical oyster pile columns in the Maowei Sea, Beibu Gulf, based on unmanned aerial vehicle laser point cloud orthophotos by Jinze Du, Jinze Du, Meiqin Huang, Zhenjun Kang, Zhenjun Kang, Zhenjun Kang, Yichao Tian, Yichao Tian, Yichao Tian, Jin Tao, Jin Tao, Qiang Zhang, Qiang Zhang, Yutong Xie, Yutong Xie, Yutong Xie, Jinying Mo, Jinying Mo, LiYan Huang, LiYan Huang, Yusheng Feng, Yusheng Feng

“…Pile culture is a breeding method commonly used for oyster seedlings in the intertidal zone of southern China. …”
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A systematic review and meta-analysis of the effectiveness of perineural dextrose injection in peripheral compression neuropathies of the upper limbs by Fatemeh Azizi, Faezeh Saber Gharesoo, Fereshteh Eidy, Sama Heidari, Nastaran Maghbouli, Shirin Djalalinia, Amir Kasaeian

“…We aimed to evaluate dextrose injection's efficacy in treating entrapment neuropathies in upper extremities. Method: We systematically searched EMBASE, Scopus, Web of Science, and PubMed. …”
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The Impact of Physical Activity on Clinical Outcomes in Children with Cystic Fibrosis: A Narrative Review by Chiara Rosolia Capasso, Antonio Luca Miniato, Paola Di Filippo, Armando Di Ludovico, Sabrina Di Pillo, Francesco Chiarelli, Giuseppe Francesco Sferrazza Papa, Marina Attanasi

“…Emerging evidence supports the role of physical exercise in improving lung function, aerobic capacity, and quality of life in pediatric CF patients. Methods: We reviewed randomized clinical trials and observational studies from the last ten years, sourced from PubMed and Google Scholar. …”
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La biodiversidad y los servicios ecosistémicos en sistemas agroecológicos. Una revisión by Wendy Mercedes Ramírez-Suárez, Jorge Carlos López-Chouza, María de los Ángeles Flores-Acosta, Saray Sánchez-Cárdenas, Pedro Lázaro Rodríguez-Morejón

“…Objective: To analyze the relationships between biodiversity and ecosystem services in an agroecological context. Materials and Methods: Different sources of information (114) were consulted and analyzed, referring to the available literature in the fields of biology, agricultural sciences and agroecology, with the purpose of deepening the state of knowledge related to biodiversity and ecosystem services provided by agroecological systems. …”
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Targeting signaling pathways in neurodegenerative diseases: Quercetin's cellular and molecular mechanisms for neuroprotection by Md. Rezaul Islam, Md. Ibrahim Khalil Al‐Imran, Mehrukh Zehravi, Sherouk Hussein Sweilam, Mohammad Rakib Mortuza, Jeetendra Kumar Gupta, Thukani Sathanantham Shanmugarajan, Kadirvel Devi, Tanuja Tummala, Mohammed Ali Alshehri, Kalirajan Rajagopal, Mohammed Asiri, Irfan Ahmad, Talha Bin Emran

“…Abstract Background Neurodegenerative diseases (NDs), including Alzheimer‘s disease, Parkinson‘s disease, and Huntington‘s disease, are complex and challenging due to their intricate pathophysiology and limited treatment options. Methods This review systematically sourced articles related to neurodegenerative diseases, neurodegeneration, quercetin, and clinical studies from primary medical databases, including Scopus, PubMed, and Web of Science. …”
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Parametric analysis of self-excited aeroelastic instability of an isolated single-axis two-dimensional flat solar tracker by Juan A. Cárdenas-Rondón, Carlos Carbajosa, Sergio Marín-Coca, Alejandro Martínez-Cava

“…The escalating global energy demand is driving a transition towards sustainable energy sources, particularly solar power, which is experiencing significant growth. …”
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Realizing the Promise of Artificial Intelligence in Hepatocellular Carcinoma through Opportunities and Recommendations for Responsible Translation by Tamer Addissouky, Majeed M. A. Ali, Ibrahim El Tantawy El Sayed, Mahmood Hasen Shuhata Alubiady

“…The results demonstrate that AI-based systems have shown promise in improving the accuracy and efficiency of HCC screening, diagnosis, and tumor characterization compared to traditional methods. Machine learning models integrating clinical, imaging, and genomic data have outperformed conventional staging systems in predicting survival and recurrence risk. …”
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Multivariate Machine Learning Model Based on YOLOv8 for Traffic Flow Prediction in Intelligent Transportation Systems by Fukui Wu, Hanzhong Tan, Linfeng Zhang, Shuangbing Wen, Tao Hu

“…Building on this, we propose a hybrid model combining Gradient Boosting Regression (GBR) and Support Vector Regression (SVR), where the GBR component captures complex nonlinear patterns in traffic flow data, while the SVR component enhances the model&#x2019;s generalization ability by optimizing predictions. Experimental results demonstrate that the proposed GBR-SVR model outperforms comparative methods in short-term traffic flow prediction, particularly under dynamic and complex traffic conditions. …”
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Enhancing patient-centered information on implant dentistry through prompt engineering: a comparison of four large language models by John Rong Hao Tay, John Rong Hao Tay, Dian Yi Chow, Yi Rong Ivan Lim, Ethan Ng, Ethan Ng

“…While prompt designs can enhance response quality, further refinement is necessary to optimize its performance.…”
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Using large language models to extract plant functional traits from unstructured text by Viktor Domazetoski, Holger Kreft, Helena Bestova, Philipp Wieder, Radoslav Koynov, Alireza Zarei, Patrick Weigelt

“…Methods We propose a natural language processing pipeline that extracts traits from unstructured species descriptions by using classification models for categorical traits and question‐answering models for numerical traits. …”
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Isolation and identification of strawberry anthracnose and fungicide screening in Henan province by SUN Wenbin, ZHANG Jingjing, SONG Yanhong, ZHAO Xia, LI Gang, ZHOU Houcheng, LIU Lifeng

“…The primary biological characteristics of these isolates were examined with an emphasis on how various environmental factors, such as temperature, pH levels, carbon sources, and nitrogen sources, influenced mycelial growth. …”
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Consumer-oriented review of digital diabetes prevention programs: insights from the CDC’s diabetes prevention recognition program by Benjamin Lalani, Jalene Shim, Vidhu Vadini, Yllka Valdez, Daniel Zade, Nestoras Mathioudakis

“…This review provides an overview of the dDPP landscape and characterizes the “direct-to-consumer” information available–or lacking–for patients choosing a dDPP.MethodsWe identified dDPPs through the CDC Diabetes Prevention Recognition Program (DPRP) Registry. …”
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Grain Seed Treatment by a Low-Frequency Electromagnetic Field by A. S. Dorokhov, M. E. Chaplygin, A. G. Aksenov, L. S. Shibryaeva, N. D. Blinov, A. S. Chulkov, A. V. Podzorov

“…(Research purpose) The study aims to investigate the influence of low-frequency electromagnetic field on the composition and properties of grain seeds. (Materials and methods) Standard emitters, characterized by a magnetic induction variability of 3-75 millitesla and a radiation frequency of 1-100 Hertz, were employed to ensure the necessary treatment parameters for a batch of seeds. …”
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Rapid and Accurate Measurement of Major Soybean Components Using Near-Infrared Spectroscopy by Chenxiao Li, Jiatong Yu, Sheng Wang, Qinglong Zhao, Qian Song, Yanlei Xu

“…Specifically, the SPASNV + D₁–RF combination achieved an RPD of 14.7 for moisture, CARS–SNV + D₁–RF reached 5.9 for protein, and CARS–SG + D₂–RF attained 12.0 for fat, all significantly surpassing alternative methods and demonstrating a strong nonlinear learning capacity and predictive precision. …”
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Artificial Intelligence in Wind Turbine Fault Detection and Diagnosis: Advances and Perspectives by Nejad Alagha, Anis Salwa Mohd Khairuddin, Zineddine N. Haitaamar, Obada Al-Khatib, Jeevan Kanesan

“…The global shift toward renewable energy, particularly wind power, underscores the critical need for advanced fault diagnosis systems to optimize wind turbine reliability and efficiency. While traditional diagnostic methods remain foundational, their limitations in addressing the nonlinear dynamics and operational complexity of modern turbines have accelerated the adoption of Artificial Intelligence (AI)-driven approaches. …”
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Mentorship in Plastic Surgery: A Systematic Review of the Current Literature and Elucidation of Recurring Themes by Benjamin K. Stone, MSc, Theodore A. Kung, MD, Turkia Abbed, MD, FACS, Ines Lin, MD, Vinay Rao, MD, MPH

“…Although mentorship programs have been described in the literature, this study aimed to elucidate the specific qualities of an effective mentor in plastic surgery. Methods:. Preferred Reporting Items for Systematic Reviews and Meta-analyses methodology was utilized to conduct a systematic review of the literature. …”
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A deep learning model to predict glioma recurrence using integrated genomic and clinical data by Jessica A. Patricoski-Chavez, Seema Nagpal, Ritambhara Singh, Jeremy L. Warner, Ece D. Gamsiz Uzun

“…Currently, no widely available models exist for reliably predicting early glioma recurrence, which is critical for optimizing patient outcomes. Machine learning (ML) and deep learning (DL) techniques have shown promise in predicting recurrence for various cancers, with those utilizing multimodal data sources showing increasing promise. …”
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