Measurement and evolution of government attention to the health industry in China based on the BERTopic model. by Jian Jin, Hongbin Du, Zhaoyu Liu

“…<h4>Objectives</h4>This paper aims to measure the government's attention to the health industry accurately, which is crucial for understanding policy directions and resource allocation strategies.<h4>Methods</h4>Addressing the limitations of traditional word frequency methods, such as restricted word segmentation and ambiguous terms, the BERTopic (Bidirectional Encoder Representations from Transformers Topic Modeling) is applied to measure government attention at the sentence level. …”
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Real-world safety assessment of Ixekizumab based on the FDA Adverse Event Reporting System (FAERS). by Yuzhe Cheng, Jingyi Ma, Jun Niu

“…While clinical trials demonstrate its efficacy, real-world safety insights remain critical due to limitations in detecting rare or delayed adverse events (AEs).<h4>Methods</h4>This study analyzed 28,889 ixekizumab-associated AE reports from the first quarter of 2016 to the third quarter of 2024 in the FDA Adverse Event Reporting System (FAERS) using disproportionality methods (ROR, PRR, MGPS, BCPNN) and Weibull distribution modeling. …”
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Exploratory Study on Screening Chronic Renal Failure Based on Fourier Transform Infrared Spectroscopy and a Support Vector Machine Algorithm by Yushuai Yuan, Li Yang, Rui Gao, Cheng Chen, Min Li, Jun Tang, Xiaoyi Lv, Ziwei Yan

“…Therefore, it is important to explore new and effective diagnostic methods for CRF, such as serum spectroscopy. This study proposes a cost-effective and reliable method for detecting CRF based on Fourier transform infrared (FT-IR) spectroscopy and a support vector machine (SVM) algorithm. …”
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MalFormer: A Novel Vision Transformer Model for Robust Malware Analysis by In-Woong Jeong, Han-Ju Lee, Gwang-Nam Kim, Seok-Hwan Choi

“…Also, we introduce Sharpness-Aware Minimization (SAM) to optimize the training process of MalFormer. The proposed method enhances sensitivity to key features while maintaining a well-balanced integration of local and global features. …”
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Beyond the nuclear border: single-cell analysis of in situ sequenced human brain tissue using cellular features by Janssen M. Kotah, Thomas Rust, Hilmar R. J. van Weering, Janneke Bosma, Amber L. Woudstra, Susanne M. Kooistra, Bart J. L. Eggen

“…Our method offers a flexible and efficient strategy for targeted transcript allocation based on cellular morphology, optimizing CNS cell segmentation in FFPE-preserved human brain tissue.…”
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Adaptive Reference Image Set Selection in Automated X-Ray Inspection by Xinhua Xiao, Andrew Ferro, Tao Ma, Chia Y. Han, Xuefu Zhou, William Wee

“…The automatic radioscopic inspection of industrial parts usually uses reference based methods. These methods select, as benchmark for comparison, image data from good parts to detect the anomalies of parts under inspection. …”
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Impact of the Relationship between Extensor Pollicis Brevis Entrapment Test and Ultrasound Wrist Findings and Functional Outcomes in De Quervain's Disease by Vijayaraja Elangovan, Lokesh K Sekaran, Harisudhan Raviraja, Dheepan Kumar, Ganesan G Ram

“…Employing reliable diagnostic methods enhances surgical precision, improves patient recovery and recurrence prevention, and optimizes disease management.…”
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Base Station Placement Algorithm for Large-Scale LTE Heterogeneous Networks. by Seungseob Lee, SuKyoung Lee, Kyungsoo Kim, Yoon Hyuk Kim

“…Recently, attempts have been made to apply evolutionary algorithms (EAs) to the field of radio network planning, since they are characterized as global optimization methods. Yet, EA performance often deteriorates rapidly with the growth of search space dimensionality. …”
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Transformer Fault Diagnosis Based on Knowledge Distillation and Residual Convolutional Neural Networks by Haikun Shang, Yanlei Wei, Shen Zhang

“…Subsequently, the Sparrow Optimization Algorithm (SSA) is applied to optimize the hyperparameters of the ResNet50 model, which is trained on DGA data as the teacher model. …”
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AI-Driven Integration of Deep Learning With Lung Imaging, Functional Analysis, and Blood Gas Metrics for Perioperative Hypoxemia Prediction by Kecheng Huang, Chujun Wu, Rongpeng Pi, Jieyu Fang

“…Traditional diagnostic methods such as radiological imaging and ABG analysis often lack integrated predictive accuracy. …”
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Assessing AI-Based Software’s Precision in Identifying Oral Lesions from Radiographs by Hamzah Ali Babkair, Mohammed Enamur Rashid, Abedalla Abdelghani, Tarek M. Ibrahim, Mohammad Khursheed Alam

“…Sensitivity, specificity, and accuracy were calculated for both methods. Statistical analysis was performed using the Chi-square test, with a significance level set at P < 0.05. …”
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Issues of diagnosis and treatment of metastases in the spine and long bones by A. V. Bukharov, D. A. Erin, V. A. Derzhavin, A. V. Yadrina

“…This will lead to the optimization of surgical treatment methods and the development of new algorithms for choosing the extent of surgery in patients with bone metastases.…”
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Algorithms of diagnosis and therapy of a primary depressive episode by V. L. Pidlubnyi, V. S. Makoid

“…It is known that algorithms are effective methods of optimizing the provision of psychiatric care in order to prevent the development of therapy-resistant forms of mental pathology and reduce their treatment costs, which is particularly relevant in the case of a primary depressive episode (PDE). …”
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Evaluating the effect of voxel size on the accuracy of 3D volumetric analysis measurements of brain tumors by Rithvik S. Ghankot, Manwi Singh, Shelby T. Desroches, Noemi Jester, Amit Mahajan, Samantha Lorr, Frank D. Buono, Daniel H. Wiznia, Daniel H. Wiznia, Michele H. Johnson, Steven M. Tommasini, Steven M. Tommasini

“…In addition, AI-based segmentation outperformed manual methods, particularly at larger voxel sizes.DiscussionThese findings highlight the importance of optimizing voxel resolution for accurate tumor monitoring and suggest that AI-driven segmentation may improve consistency and precision in NF2-SWN tumor surveillance.…”
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Enhancing action recognition in educational settings using AI-driven information systems for public health monitoring by Changchun Lu, Han Ruijuan

“…These limitations hinder their effectiveness, particularly in detecting health-related behaviors such as sedentary patterns, social interactions, and hygiene compliance.MethodsTo overcome these shortcomings, this research introduces an AI-driven information system that leverages advanced deep learning models and an Adaptive Knowledge Embedding Network (AKEN) to improve action recognition accuracy. …”
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Testing of Retail Cheese, Butter, Ice Cream, and Other Dairy Products for Highly Pathogenic Avian Influenza in the US by David L. Suarez, Iryna V. Goraichuk, Lindsay Killmaster, Erica Spackman, Nicole J. Clausen, Tristan J. Colonius, Cynthia L. Leonard, Monica L. Metz

“…Using the revised protocols, it was determined that HPAI viral RNA could be detected in a variety of dairy products, but existing pasteurization methods effectively inactivate the virus assuring consumer safety.…”
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Modular and efficient assembly of CRISPR vectors and construction of an apple gene editing efficiency evaluation system by HOU Feifan, HUANG Chuanmi, HAO Pengbo, CONG Liu, BAI Tuanhui, SHI Jiangli, WANG Miaomiao, LIU Yu, ZHAO Yujie, WAN Ran, SHEN Yawen, ZHANG Hengtao, ZHANG Kunxi, ZHENG Xianbo, JIAO Jian

“…We aim to develop a modular and efficient CRISPR vector system, optimize the Agrobacterium-mediated transient delivery system in apple plantlets, and establish a corresponding evaluation system for assessing the efficiency of gene editing in apple. …”
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An Adaptive Grid Generation Approach to Pipeline Leakage Rapid Localization Based on Time Reversal by Yu Wang, Haoyang Chen, Yang Yang, Haoyu Zhou, Guangmin Zhang, Bin Ren, Yufei Yuan

“…Gas pipeline leakage will result in casualties and property losses if not detected in time. Conventional leakage localization methods usually rely on dense grid distribution, leading to high computational costs. …”
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A Finite Element Approach to the Upper-Bound Bearing Capacity of Shallow Foundations Using Zero-Thickness Interfaces by Yu-Lin Lee, Yu-Tang Huang, Chi-Min Lee, Tseng-Hsing Hsu, Ming-Long Zhu

“…In contrast to optimization-based methods such as discontinuity layout optimization (DLO) or traditional finite element limit analysis (FELA), the proposed approach uses predefined failure mechanisms to improve computational transparency and efficiency. …”
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Analysis of the causes of the occurrence and measures of prevention of pododermatitis in rabbits by R. V. Peredera, O. O. Peredera

“…The temperature regime depended on the seasonality and the method of maintenance. In the majority of farms, the temperature regime in autumn and spring exceeded the optimal values and amounted to 25–28 °С. …”
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