Characteristics of clinical, laboratory, and immunological manifestations in patients with anticentromere antibody-associated Sjögren's disease by B. D. Chaltsev, V. I. Vasilyev, S. G. Palshina, A. V. Torgashina, E. V. Sokol, Yu. I. Khvan, E. B. Rodionova, T. N. Safonova, S. V. Lapin, O. Yu. Tkachenko, A. V. Mazing

“…Objective: to study clinical and laboratory features in patients with anticentromere antibody (ACA)-positive SjЪgren's disease (SD), as well as the sensitivity of different methods for determination of ACA, and to elaborate an algorithm for differential diagnosis in ACA-positive patients.Patients and methods. …”
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The Lyα Dependence on Nebular Properties from the HETDEX and MOSDEF Surveys by Óscar A. Chávez Ortiz, Gene C. K. Leung, Steven L. Finkelstein, Dustin Davis, Ralph S. Sutherland, David C. Nicholls, Mabel Stephenson, Erin Mentuch Cooper, Micaela Bagley, Karl Gebhardt, Lindsay R. House, Chenxu Liu, Robin Ciardullo, Caryl Gronwall, Gary J. Hill, Daniel Farrow, Donald P. Schneider

“…Our findings suggest that the interstellar environments of Ly α -detected galaxies, characterized by low mass, low dust, low gas-phase metallicity, and high ionization parameters, play a pivotal role in promoting the escape of Ly α radiation.…”
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Consensus Guidelines of Russian Society of Radiology (RSR) and Russian Association of Specialists in Ultrasound Diagnostics in Medicine (RASUDM) «Role of Imaging (X-ray, CT and US)... by V. E. Sinitsyn, I. E. Tyurin, V. V. Mitkov

“…The paper presents Consensus Guidelines of Russian Society of Radiology (RSR) and Russian Association of Specialists in Ultrasound Diagnostics in Medicine (RASUDM) «Role of imaging (X-ray, CT and US) in diagnosis of COVID-19 pneumonia» (version 2) of the Russian Society of Radiology and the Russian Association of Specialists in Ultrasound Diagnostics in Medicine.The guidelines list radiological techniques for lung diseases, which are used in coronavirus COVID-19 infection (chest X-ray, lung computed tomography (CT), and lung ultrasound (US), diagnostic algorithm, and follow-up study. The guidelines propose the models of the work of radiological rooms/departments of a healthcare facility, the procedure for conducting an examination, and recommendations for providing a description and assessing changes in the lung and chest in existing/suspected COVID-19-related pneumonia and present the schemes of X-ray and CT protocols at the initial examination and assessment of the changes.Chest X-ray has a low sensitivity for detecting initial changes in the first days of the disease and is not recommended for early diagnosis. …”
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Artificial Intelligence Performance in Image-Based Cancer Identification: Umbrella Review of Systematic Reviews by He-Li Xu, Ting-Ting Gong, Xin-Jian Song, Qian Chen, Qi Bao, Wei Yao, Meng-Meng Xie, Chen Li, Marcin Grzegorzek, Yu Shi, Hong-Zan Sun, Xiao-Han Li, Yu-Hong Zhao, Song Gao, Qi-Jun Wu

“…Notably, in lung cancer, the pooled specificity was relatively low, primarily distributed between 65% and 80%. …”
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Development of a Mobile Intervention for Procrastination Augmented With a Semigenerative Chatbot for University Students: Pilot Randomized Controlled Trial by Seonmi Lee, Jaehyun Jeong, Myungsung Kim, Sangil Lee, Sung-Phil Kim, Dooyoung Jung

“…The architecture comprised response-generating and procrastination factor–detection algorithms. A pilot randomized controlled trial was conducted with 85 participants (n=37, 44% female; n=48, 56% male) from a university in South Korea. …”
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Artificial intelligence in hospital infection prevention: an integrative review by Rabie Adel El Arab, Zainab Almoosa, May Alkhunaizi, May Alkhunaizi, Fuad H. Abuadas, Joel Somerville, Joel Somerville

“…Comparative data suggest that while both machine learning and deep learning approaches perform well, some deep learning models may offer slight advantages in complex data environments. Advanced algorithms, including neural networks, decision trees, and random forests, significantly improved detection rates when integrated with EHRs, enabling real-time surveillance and timely interventions. …”
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Rationale and feasibility of a rapid integral biomarker program that informs immune-oncology clinical trials: the ADVISE trial by Akshita Gupta, Riyue Bao, F Stephen Hodi, Jaclyn Neely, Jason J Luke, Ashish Massey, Santanu Dutta, Janis Taube, George Lee, Katherine Bever, Peter Szabo, David Yao, Rachel Tam, Tim Reilly

“…IHC analyses of I-O naïve tumors corroborated these findings with distinct immune target upregulation in low-to-intermediate inflamed tumors and significant associations between IHC-detected markers and T-cell inflammation score across most markers. …”
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Surface saline lakes in the Mediterranean Sea by E. Terzić, C. Gardiol, I. Vilibić, I. Vilibić

“…We developed an objective algorithm to detect SSLs within profiles, defining a SSL according to a threshold-exceeding salinity gradient at its base. …”
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Pixel-Based Long-Wave Infrared Spectral Image Reconstruction Using a Hierarchical Spectral Transformer by Zi Wang, Yang Yang, Liyin Yuan, Chunlai Li, Jianyu Wang

“…Long-wave infrared (LWIR) spectral imaging plays a critical role in various applications such as gas monitoring, mineral exploration, and fire detection. Recent advancements in computational spectral imaging, powered by advanced algorithms, have enabled the acquisition of high-quality spectral images in real time, such as with the Uncooled Snapshot Infrared Spectrometer (USIRS). …”
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Advanced Learning Technologies for Intelligent Transportation Systems: Prospects and Challenges by Ruhul Amin Khalil, Ziad Safelnasr, Naod Yemane, Mebruk Kedir, Atawulrahman Shafiqurrahman, NASIR SAEED

“…In addition to shedding light on the state-of-the-art DL algorithms, we also explore potential applications of DL and large language models (LLMs) in ITS, including traffic flow prediction, vehicle detection and classification, road condition monitoring, traffic sign recognition, and autonomous vehicles. …”
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An AI-Based Deep Learning with K-Mean Approach for Enhancing Altitude Estimation Accuracy in Unmanned Aerial Vehicles by Prot Piyakawanich, Pattarapong Phasukkit

“…The outcomes of our study are particularly noteworthy, with the model demonstrating remarkably low Mean Squared Error (MSE) values across all data clusters, ranging from 0.011 to 0.072. …”
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Effectiveness of AI for Enhancing Computed Tomography Image Quality and Radiation Protection in Radiology: Systematic Review and Meta-Analysis by Subo Zhang, Zhitao Zhu, Zhenfei Yu, Haifeng Sun, Yi Sun, Hai Huang, Lei Xu, Jinxin Wan

“…AI also enhanced image analysis efficiency (odds ratio 1.57, 95% CI 1.08-2.27; P=.02) and demonstrated high accuracy and sensitivity in detecting intracranial aneurysms, with low-dose CT using AI reconstruction showing noninferiority for liver lesion detection. …”
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Diagnosis of Lung Cancer Using Endobronchial Ultrasonography Image Based on Multi-Scale Image and Multi-Feature Fusion Framework by Huitao Wang, Takahiro Nakajima, Kohei Shikano, Yukihiro Nomura, Toshiya Nakaguchi

“…The primary aim of this study is to develop a computer-aided diagnosis (CAD) system for lung cancer using endobronchial ultrasonography (EBUS) images and deep learning algorithms to facilitate early detection and improve patient survival rates. …”
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Developing and validating an artificial intelligence-based application for predicting some pregnancy outcomes: a multi-phase study protocol by Fatemeh Shabani, Ata Jodeiri, Sakineh Mohammad‑Alizadeh‑Charandabi, Fatemeh Abbasalizadeh, Jafar Tanha, Mojgan Mirghafourvand

“…Abstract Background Pregnancy complications such as preterm birth, low birth weight, gestational diabetes mellitus, preeclampsia, and intrauterine growth restriction significantly affect both maternal and neonatal health outcomes. …”
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The Impact of Stratospheric Intrusion on Surface Ozone in Urban Areas of the Northeastern Tibetan Plateau by Mingge Li, Yawen Kong, Meng Fan, Chao Yu, Ying Zhang, Jianbin Gu, Jinhua Tao, Liangfu Chen

“…In recent years, high-altitude cities with low emissions in western China have exhibited an upward trend in surface ozone (O₃). …”
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Landscape analysis of m6A modification regulators reveals LRPPRC as a key modulator in tubule cells for DKD: a multi-omics study by Li Jiang, Hongda Yu, Jie Jian, Xulin Sai, Yudian Wang, Yufei Zhang, Xiai Wu

“…It exhibited the decreasing trend over time, particularly pronounced in LOH cells. The low activity of LRPPRC was mainly detected in the injured renal tubules. …”
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Identification and grading method of HCAs in gas pipelines based on multisource data fusion by Haoran TANG, Junnan XIONG, Zhiwei YONG, Wenjie CHEN, Aoru LIU, Qisheng WANG, Huiwen XIAO, Rongkang WANG

“…Objective Constrained by operator proficiency and subjectivity, the traditional method for identifying high-consequence areas (HCAs) in gas pipelines exhibits shortcomings such as low efficiency and nonnegligible human errors. In recent years, the integration of satellite imagery data and Geographic Information System (GIS) technology has alleviated these deficiencies to some extent. …”
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Gene Expression Profiles Infer — The Landscape of Tumor-Infiltrating Immune Cells in Ovarian Cancer and their Clinical Significance by Caiyun Ding, Li Wang, Qiang Ma, Can Shen, Lu Xi, Guantai Ni, Jin Ding

“…Methods: The metagene deconvolution algorithm (Cell type Identification by Estimating Relative Subsets of known RNA Transcripts (CIBERSORT)) was used to analyze gene expression profiles in public databases (GEO and TCGA) to infer the composition of 22 immune cell subgroups in ovarian tumors. …”
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Research and application of dynamic simulation method for water accumulation in goaf by Guijin BIAN

“…After the mining of the coal mining face is completed, the internal environment of the goaf formed is complex, and it is very difficult to accurately detect the range of accumulated water and calculate the amount of accumulated water. …”
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Systematic Construction and Validation of a Novel Ferroptosis-Related Gene Model for Predicting Prognosis in Cervical Cancer by Wentao Qin, Can He, Daqiong Jiang, Yang Gao, Yu Chen, Min Su, Yuanjun Yang, Zhao Yang, Hongbing Cai, Hua Wang

“…Ferroptosis-related differential genes in cervical cancer were detected using the “limma” R function and WGCNA. The least absolute shrinkage and selection operator (LASSO) algorithm and Cox regression analysis were conducted to develop a novel prognostic signature. …”
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