Improved Remote Photoplethysmography Using Machine Learning-Based Filter Bank by Jukyung Lee, Hyosung Joo, Jihwan Woo

“…Remote photoplethysmography (rPPG) is a non-contact technology that monitors heart activity by detecting subtle color changes within the facial blood vessels. …”
Get full text

Robotic esophagectomy with function‐preserving radical mediastinal lymphadenectomy for esophageal cancer by Raja Kalayarasan, Pothugunta Sai Krishna

“…Compared to the conventional technique of thoracic duct identification using anatomical landmarks, indocyanine green fluorescence lymphangiography offers real‐time feedback, making it particularly advantageous in cases with complex anatomy or when the thoracic duct is challenging to visualize using conventional methods. Preservation of pulmonary branches of the right vagus during subcarinal lymphadenectomy and left recurrent laryngeal nerve during left paratracheal node dissection are technically challenging. …”
Get full text

ANTEGRADE LASER PAPILLOTOMY UNDER THE CONTROL OF VIDEO CHOLEDOCHOSCOPY IN PATIENTS WITH STENOSIS OF THE LARGE DUODENAL PAPILLA COMPLICATED WITH MECHANICAL JAUNDICE by N. V. Levchenko, V. V. Khryachkov, R. R. Shavaliev, D. P. Kislitsin

“…Laser papillotomy was successfully performed in 31 (100%) patients with benign stenosis of LDP, among them in 15 patients (48.4%) the stenosis of LDP was combined with choledocholithiasis, which was detected intraopera­tively in 9 (29.0%) cases. For optimal conduction of choledochoscopy, a guide device for a choledochoscope has been proposed (RF patent for utility model No. 149055 dated May 12, 2014).All surgical interventions, including lithotripsy, were performed laparoscopically, there was no indication for conversion.Conclusion. …”
Get full text

Jiangu Granules Regulates Endoplasmic Reticulum Stress-Induced Apoptosis in UMR-106 Cells by Modulating the PERK/eIF2α/ATF4/CHOP Pathway by CHEN Sainan, ZHOU Fen, HUANG Yunmei, LIN Yanping

“…The optimal intervention concentration of GSK2606414 was determined using the CCK8 method. …”
Get full text

Hybrid Machine Learning-Driven Automated Quality Prediction and Classification of Silicon Solar Modules in Production Lines by Yuxiang Liu, Xinzhong Xia, Jingyang Zhang, Kun Wang, Bo Yu, Mengmeng Wu, Jinchao Shi, Chao Ma, Ying Liu, Boyang Hu, Xinying Wang, Bo Wang, Ruzhi Wang, Bing Wang

“…The proposed framework not only automates module quality assessment but also enhances production line efficiency by enabling real-time anomaly detection and yield optimization. This work represents a significant advancement in solar module evaluation, bridging the gap between data-driven automation and holistic performance analysis in photovoltaic manufacturing.…”
Get full text

IMMUNOPHENOTYPIC AND CYTOGENETIC FEATURES OF ACUTE LEUKEMIA IN CHILDREN OF THE ARKHANGELSK REGION: A RETROSPECTIVE STUDYN: A RETROSPECTIVE STUDY by A. S. Ulanova, A. V. Kudryavtsev, A. L. Turabova, N. A. Grigorieva, I. A. Turabov, M. Yu. Rykov

“…For the proper diagnosis and optimal prognosis of acute leukemia (AL), a complex of clinical and laboratory methods is used. …”
Get full text

Predictive Analytics in Maternal Health: A Machine Learning Approach for Classification of Preeclampsia by Pakiza Amin, Saima Gulzar Ahmad, Hikmat Ullah Khan, Ehsan Ullah Munir, Naeem Ramzan

“…Proper management of the condition depends on early detection of preeclampsia to make a correct prognosis. …”
Get full text

Utilization of Neural Network in the Diagnosis of Pes Planus and Pes Cavus with a Smartphone Camera by Samir Ghandour MD, Anton Lebedev BS, Wei Shao Tung BS, Konstantin Semianov BS, Artem Semyanov MS, Daniel Guss MD, MBA, Gregory R. Waryasz MD, John Y. Kwon MD, Christopher W. DiGiovanni MD, Soheil Ashkani-Esfahani MD, Lorena Bejarano-Pineda MD

“…Methods: An algorithm that integrated a deep learning, convolutional neural network (CNN) into a smartphone camera was utilized to detect Pes planus and Pes cavus deformities. …”
Get full text

Research on Spatiotemporal Evolution Characteristics and Driving Mechanisms of Agricultural Drought in the Yellow River Basin by JU Yongsheng, WEI Yong, HU Anlong, LI Huiyong, GUO Aijun

“…Therefore, this paper took the Yellow River Basin in arid regions, semi-arid regions, and the transitional zone between humid and semi-humid regions as an example and used trend test, run length theory, and standard soil index (SSI) methods to reveal the spatiotemporal distribution characteristics and evolution laws of multi-scale agricultural drought. 17 extreme climate indexes and analysis of variance (ANOVA) methods were used to quantitatively reveal the impact of droughts. …”
Get full text

Stability Evaluation of Deformation (Denudation) of Yuanjue Rock Cave Roof Based on Multisource Monitoring by Zhigang Tao, Senlin Luo, Di Wu, Yafei Qiao, Gang Zhao, Zhigang Meng

“…However, the research on detection and monitoring methods based on the parametric evolution system remains incomplete. …”
Get full text

An Algorithm for Estimating the Velocity of a Moving Target Based on Mellin Matched Filter by A. A. Monakov

“…The low quality of radar imaging is frequently related to the phenomenon of range cell migration (RCM). Conventional methods for RCM compensation, which are successfully used to obtain radar images of stationary targets, fail to provide the required quality when applied to moving targets. …”
Get full text

SECrackSeg: A High-Accuracy Crack Segmentation Network Based on Proposed UNet with SAM2 S-Adapter and Edge-Aware Attention by Xiyin Chen, Yonghua Shi, Junjie Pang

“…Crack segmentation is essential for structural health monitoring and infrastructure maintenance, playing a crucial role in early damage detection and safety risk reduction. Traditional methods, including digital image processing techniques have limitations in complex environments. …”
Get full text

Extended-Spectrum-Beta-Lactamase (ESBL)-Producing <i>Escherichia coli</i> in Laying Hens: Slaughterhouse Prevalence and Antibiotic Resistance Patterns by Nihat Telli, Arife Ezgi Telli, Yusuf Biçer, Gamze Turkal

“…For sequence analysis, the bidirectional Sanger Gene sequence analysis method was applied. <b>Results:</b> PCR-based detection identified 10 of the 17 isolates as <i>E. coli</i> by amplifying the <i>usp</i>A gene, and bidirectional Sanger sequencing further confirmed these isolates at the species level. …”
Get full text

Thermal performance analysis of gas turbine power plant using soft computing techniques: a review by Ravindra S. Surase, Ramakrishna Konijeti, Ramchandra P. Chopade

“…Soft computing methods such as neural networks, genetic algorithms, and fuzzy logic offer potent tools for this optimization due to their ability to handle the turbines' nonlinear and dynamic characteristics. …”
Get full text

Integrating vision transformer-based deep learning model with kernel extreme learning machine for non-invasive diagnosis of neonatal jaundice using biomedical images by M. Eliazer, Sibi Amaran, K. Sreekumar, A. Vikram, Gyanendra Prasad Joshi, Woong Cho

“…Finally, the enhanced coati optimization algorithm (ECOA) method is implemented for the hyperparameter tuning of the KELM method, which results in a higher classification process. …”
Get full text

Fault Diagnosis in a Four-Arm Delta Robot Based on Wavelet Scattering Networks and Artificial Intelligence Techniques by Claudio Urrea, Carlos Domínguez

“…Sensitivity analysis demonstrates the classifier’s capacity to detect untrained faults, highlighting the importance of effective feature extraction and classification methods for fault diagnosis in complex robotic systems. …”
Get full text

Multi-task deep learning framework for enhancing Mayo endoscopic score classification in ulcerative colitis by Jaehyuk Lee, Eunchan Kim

“…This study proposes a multi-task learning (MTL) framework inspired by the coarse-to-fine processing mechanism of the human brain to address these challenges. Methods The proposed MTL framework was evaluated using endoscopic images of UC, focusing on its ability to classify disease stages with an emphasis on the accurate detection of advanced cases. …”
Get full text

Artificial Intelligence for Women and Child Healthcare: Is AI Able to Change the Beginning of a New Story? A Perspective by Patricia Takako Endo

“…This article explores the potential of Artificial Intelligence (AI) to enhance maternal and child healthcare by improving early risk identification, diagnosis, treatment recommendations, and postpartum monitoring. Methods It explores the use of AI in identifying pregnancy‐related risks, recommending treatments, predicting adverse outcomes, and monitoring postpartum and neonatal care. …”
Get full text

Face Anti-Spoofing Based on Adaptive Channel Enhancement and Intra-Class Constraint by Ye Li, Wenzhe Sun, Zuhe Li, Xiang Guo

“…Face anti-spoofing detection is crucial for identity verification and security monitoring. …”
Get full text

Magnitude and precision of absolute blood volume estimated during hemodialysis by Rammah Abohtyra, Tyrone Vincent, Daniel Schneditz

“…A significant moderate correlation was obtained when [Formula: see text] was compared to a different method applied to the same data set (r = 0.5). Specific blood volumes remained above the critical level of 65 mL/kg in 17 treatments (80.9%).Conclusion: The method offers the opportunity to detect critical blood volumes during HD and to judge the quality and reliability of that information based on the precision of the [Formula: see text] estimate.…”
Get full text