Multicriteria Optimization of Language Models for Heart Failure With Preserved Ejection Fraction Symptom Detection in Spanish Electronic Health Records: Comparative Modeling Study by Jacinto Mata, Victoria Pachón, Ana Manovel, Manuel J Maña, Manuel de la Villa

“…It also examines how domain-specific language models and clinically guided optimization strategies can improve the reliability, sensitivity, and generalizability of symptom detection in real-world EHRs. …”
Get full text

Unobtrusive Sleep Posture Detection Using a Smart Bed Mattress with Optimally Distributed Triaxial Accelerometer Array and Parallel Convolutional Spatiotemporal Network by Zhuofu Liu, Gaohan Li, Chuanyi Wang, Vincenzo Cascioli, Peter W. McCarthy

“…To address these issues, we have developed a low-cost non-contact sleeping posture detection system. Our system features eight optimally distributed triaxial accelerometers, providing a comfortable and non-contact front-end data acquisition unit. …”
Get full text

A visual positioning method for tunnel boring machines in underground coal mines based on anchor net features by Xuhui ZHANG, Yunkai CHI, Yuyang DU, Junying JIANG, Wenjuan YANG, Youjun ZHAO, Jicheng WAN, Yanqun WANG, Chenhui TIAN

“…Overall, the visual positioning method proposed in this study enjoys high accuracy and stability, providing a valuable reference for long-distance pose detection of TBMs in underground anchor net-supported roadways.…”
Get full text

A reliable, simple and cost-efficient UPLC-vwd method for simultaneously determining tocopherol and tocotrienol in peanut seeds by Zekai Tian, Yue Zhang, Chenshuo Sun, Liying Yan, Yanping Kang, Dongxin Huai, Yuning Chen, Xin Wang, Qianqian Wang, Huifang Jiang, Boshou Liao, Zhihui Wang, Yong Lei

“…In contrast, the vitamin E content in the seed coat is considerably lower. Therefore, the optimized detection method minimizes seed coat interference during sample preparation, ensuring the accuracy of the results. …”
Get full text

Modeling of Bayesian machine learning with sparrow search algorithm for cyberattack detection in IIoT environment by Faten Khalid Karim, José Varela-Aldás, Mohamad Khairi Ishak, Ayman Aljarbouh, Samih M. Mostafa

“…Additionally, the method utilizes the Chameleon Optimization Algorithm (COA)-based feature selection (FS) approach to identify the optimal feature set. …”
Get full text

SB‐YOLO‐V8: A Multilayered Deep Learning Approach for Real‐Time Human Detection by Prince Alvin Kwabena Ansah, Justice Kwame Appati, Ebenezer Owusu, Edward Kwadwo Boahen, Prince Boakye‐Sekyerehene, Abdullai Dwumfour

“…To address this issue, we propose SB‐YOLO‐V8 (Scene‐Based—You Only Look Once—Version 8), an optimized YOLO‐based convolutional neural network (CNN) designed specifically for real‐time human detection, not just limited to citrus farms but applicable to various agricultural and urban environments. …”
Get full text

Nondestructive detection and classification of impurities-containing seed cotton based on hyperspectral imaging and one-dimensional convolutional neural network by Yeqi Fei, Zhenye Li, Tingting Zhu, Zengtao Chen, Chao Ni

“…The proposed method achieves an impurity detection rate of 99.698%. …”
Get full text

The Application of PSO in Structural Damage Detection: An Analysis of the Previously Released Publications (2005–2020) by Parsa Ghannadi, Seyed Sina Kourehli, Seyedali Mirjalili

“…The optimization-based methods are one of the most popular techniques for damage detection. …”
Get full text

Prenatal Counseling for Congenital Clubfoot by Akshitha Adhiyaman, BS, Olivia C. Tracey, BA, Amith Umesh, BA, Patrick P. Nian, BA, Michele K. Silverstein, MD, Shevaun M. Doyle, MD, David M. Scher, MD

“…Congenital clubfoot is a common deformity that affects 1 in 1000 newborns and is frequently detected prenatally during routine prenatal care. A wide variety of detection methods and testing are used to identify clubfoot and other congenital anomalies in the fetus, including complete ultrasonography, amniocentesis, chorionic villus sampling, or cell-free DNA. …”
Get full text

Subway Sudden Passenger Flow Prediction Method Based on Two Factors: Case Study of the Dongsishitiao Station in Beijing by Chengguang Xie, Xiaofeng Li, Bingfa Chen, Feng Lin, Yushun Lin, Hainan Huang

Get full text

Process Study on 3D Printing of Polymethyl Methacrylate Microfluidic Chips for Chemical Engineering by Zengliang Hu, Minghai Li, Xiaohui Jia

“…This study provides a cheap and high-quality research method for future research in water quality detection and chemical engineering.…”
Get full text

Skin Cancer Image Classification Using Artificial Intelligence Strategies: A Systematic Review by Ricardo Vardasca, Joaquim Gabriel Mendes, Carolina Magalhaes

“…Ultimately, early detection could be optimized, improving patient outcomes, even in areas where healthcare is scarce.…”
Get full text

Method on Efficient Operation of Multiple Models for Vision-Based In-Flight Risky Behavior Recognition in UAM Safety and Security by Byeonghun Kim, Byeongjoon Noh, Kyowon Song

“…In this study, we propose a novel cabin surveillance framework for passenger safety and security. The proposed method achieves high accuracy by using a single model optimized for a specific task and ensures maximum computational efficiency through a scheduler that executes the appropriate models based on the situation. …”
Get full text

Associations of dyadic appraisal of cancer cachexia symptoms with psychological distress and quality of life in dyads of palliative care patients: a longitudinal mixed-methods stud... by Huilin Cheng, Carmen Wai Lim Leung, Jeffrey Sheung Ching NG, Kam Hung Wong, Deepa Natarajan, Lut Ming Chan, Nancy Hiu Yim NG, Tsz Wai Tsang, Wai Ming Leung, Raymond See Kit LO

“…Guided by the Theory of Dyadic Illness Management supplemented by the Symptom Appraisal Pathway Model, the study will be the first to provide a comprehensive understanding of the role of dyadic appraisal of patients’ CC symptoms on psychological distress and QOL of palliative care patients and their primary family caregivers over an eight-week follow-up period. Methods This study will adopt a longitudinal mixed-methods design, combining both quantitative and qualitative data collection at baseline and eight weeks after baseline. 281 dyads of patients with CC and caregivers will be recruited from palliative care units of three hospitals in Hong Kong. …”
Get full text

Toward a deeper understanding of dengue: novel method for quantification and isolation of envelope protein epitope-specific antibodies by Sokchea Lay, Candice Bohaud, Sopheak Sorn, Sreymom Ken, Felix A. Rey, Kevin K. Ariën, Sowath Ly, Veasna Duong, Giovanna Barba-Spaeth, Heidi Auerswald, Tineke Cantaert

“…In conclusion, we have developed a serological assay to detect E-protein epitope-specific Abs in DENV-infected humans. …”
Get full text

Design and Optimization of a Vibration-Assisted Crop Seed Drying Tray with Real-Time Moisture Monitoring by Mingming Du, Hongbo Zhao, Shuai Zhang, Chen Li, Zhaoyuan Chu, Xiaohui Liu, Zhiyong Cao

“…To validate the proposed method, a series of experiments were conducted to determine the optimal vibration frequencies for various seed types. …”
Get full text

The possibilities of immunohistochemistry for assessing the pathogenetic mechanisms of action of compounds with a suspected antitumor effect. Part I. General indicators of the proc... by M. A. Akimenko, O. A. Voronova, M. S. Alkhuseyn-Kuliaginova, A. B. Alnikin, N. A. Kornienko, M. A. Dodokhova, M. V. Gulyan, I. M. Kotieva

“…The aim of the study is to conduct a comparative analysis of markers of tumor process activity for more effective use of morphological and immunohistochemical research methods in the preclinical study of compounds with suspected antitumor activity to assess the prospects for their use with the detection of tumor process activity. …”
Get full text

A Review of Finite Element Studies on Laser-Based Acoustic Applications in Solid Media by Evaggelos Kaselouris, Vasilis Dimitriou

“…In biomedical applications, the FEM aids in tissue characterization and disease detection, while in engineering, its integration with laser-based methods contributes to noise reduction and vibration control. …”
Get full text

Deep learning-based feature selection for detection of autism spectrum disorder by Ibrahim Nafisah, Nermine Mahmoud, Ahmed A. Ewees, Mohamed G. Khattap, Abdelghani Dahou, Safar M. Alghamdi, Ibrahim A. Fares, Mohammed Azmi Al-Betar, Mohammed Azmi Al-Betar, Mohamed Abd Elaziz, Mohamed Abd Elaziz

“…The performance metrics include an average accuracy of 0.735, sensitivity of 0.765, and specificity of 0.752, surpassing the results of existing state-of-the-art methods.DiscussionThe findings demonstrate the effectiveness of the hybrid deep learning approach for ASD detection. …”
Get full text

Cardiac Metastasis: Epidemiology, Pathophysiology, and Clinical Management by Fabiana Lucà, Iris Parrini, Maria Laura Canale, Carmelo Massimiliano Rao, Mariacarmela Nucara, Giuseppe Pelaggi, Adriano Murrone, Stefano Oliva, Irma Bisceglia, Andrea Sergi, Giovanna Geraci, Carmine Riccio, Roberto Ceravolo, Sandro Gelsomino, Furio Colivicchi, Massimo Grimaldi, Fabrizio Oliva, Michele Massimo Gulizia

Get full text