Landscape of the immune infiltration and identification of molecular diagnostic markers associated with immune cells in patients with kidney transplantation by Zhangxiao Xu, Xun Sun, Xiaobo Ma, Bo Tao, Jian Wu, Yunpeng He, Yuan Zhao, Hexiang Mao, Jie Yang, Dehui Jiang, Lijun Wang, Chao Song

“…Next, the Cell-type Identification by Estimating Relative Subsets of RNA Transcripts (CIBERSORT) algorithm was used to infer the proportions of 22 immune cells. …”
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Interventions designed to increase scholarly activity and achieve promotion among primarily junior clinical faculty in the United States: a scoping review by Heather A. Billings, Ashlee Mills Duffy, Gary L. Beck Dallaghan, Emily J. Glenn, Eric S. Peeples, Matthew R. Sandbulte, Jason F. Shiffermiller, Carrie Valenta, Bethany R. Lowndes, Jana L. Wardian

“…Support systems and faculty development interventions may mitigate these challenges and contribute to increased academic productivity and promotion. …”
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A risk prediction model for efficient intubation in the emergency department: A 4‐year single‐center retrospective analysis by Hongbo Ding, Xue Feng, Qi Yang, Yichang Yang, Siyi Zhu, Xiaozhen Ji, Yangbo Kang, Jiashen Shen, Mei Zhao, Shanxiang Xu, Gangmin Ning, Yongan Xu

“…We used the eXtreme Gradient Boosting (XGBoost) algorithm to develop the prediction model and compared it with other algorithms, such as logistic regression, artificial neural network, and random forest. …”
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Prediction of 1p/19q state in glioma by integrated deep learning method based on MRI radiomics by Fengda Li, Zeyi Li, Hong Xu, Gang Kong, Ze Zhang, Kaiyuan Cheng, Longyuan Gu, Lei Hua

“…The average area under the curve (AUC) for our model is 0.994, surpassing that of the other four traditional machine learning algorithms (AUC: 0.523–0.702). This suggests that the model based on the ECNN algorithm performs well in distinguishing the 1p/19q molecular status of LGG patients. …”
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RATIONAL USE OF NONSTEROIDAL ANTI-INFLAMMATORY DRUGS. CLINICAL GUIDELINES by A. E. Karateev, E. L. Nasonov, V. T. Ivashkin, A. I. Martynov, N. N. Yakhno, G. P. Arutyunov, L. I. Alekseeva, G. R. Abuzarova, M. A. Evseev, M. L. Kukushkin, S. S. Kopenkin, A. M. Lila, T. L. Lapina, D. S. Novikova, T. V. Popkova, A. P. Rebrov, K. V. Skorobogatykh, N. V. Chichasova

“…The main purpose of this paper was to reduce the frequency of potentially dangerous class-specific adverse events (AE) that may arise from the use of NSAIDs. To do this, the authors proposed a NSAID choice algorithm based on the assessment of risk factors for AE, the individual characteristics of various representatives of this drug group, and the possibility of prevention of AE.Since then, new data on the efficacy and safety of NSAIDs have been obtained. …”
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ADeepWeeD: An adaptive deep learning framework for weed species classification by Md Geaur Rahman, Md Anisur Rahman, Mohammad Zavid Parvez, Md Anwarul Kaium Patwary, Tofael Ahamed, David A. Fleming-Muñoz, Saad Aloteibi, Mohammad Ali Moni, PhD

“…Existing DL-based weed classification techniques, including VGG16 and ResNet50, initially construct a model by implementing the algorithm on a training dataset comprising weed species, subsequently employing the model to identify weed species acquired during training. …”
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The Spatiotemporal Evolution and Driving Forces of the Urban Heat Island in Shijiazhuang by Xia Zhang, Yue Liu, Ruohan Chen, Menglin Si, Ce Zhang, Yiran Tian, Guofei Shang

“…The interactive effects, especially between the PET and DEM, reach a significant value of 0.72. These findings may address concerns regarding both future trends and mitigation indications for UHI variations in Shijiazhuang.…”
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Fertility, Hatchability, and Prediction of Egg Weight from Egg Quality Indices of Nigerian Indigenous and Exotic Helmeted Guinea Fowls by Praise Jegede, Abdulmojeed Yakubu, Ibrahim S. Musa, Samuel T. Vincent, Ayoola J. Shoyombo, Olayinka O. Alabi, Mathew Wheto, Ayotunde O. Adebambo, Mustapha A. Popoola

“…The present information may guide breeding and management strategies geared towards the improvement of the reproductive and egg quality traits of the helmeted guinea fowls.…”
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Point-of-Care Ultrasound Pulse Checks During Cardiopulmonary Resuscitation on a Patient Simulator (PUPRAS) by Susanne Betz, Harald Bergmann, Franz Rettich, Julian Kreutz, Birgit Ploeger, Christoph W. Jaenig, Stephan Grosch, Karl M. Meggiolaro, Andreas Jerrentrup, Willi Schmidbauer, Bernhard Schieffer, Tobias Gruebl

“…Point-of-care ultrasound (POCUS) may be more reliable for detecting the ROSC. We investigated whether a POCUS pulse check algorithm could be used in compliance with the CPR guidelines. …”
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Pulsed inhibition of corticospinal excitability by the thalamocortical sleep spindle by Umair Hassan, Prince Okyere, Milad Amini Masouleh, Christoph Zrenner, Ulf Ziemann, Til Ole Bergmann

“…This hierarchical cross-frequency nesting, where slower oscillations group faster ones into certain excitability phases, may enable phase-dependent plasticity in the neocortex, and spindles have thus been considered windows of plasticity in the sleeping brain. …”
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CcpA-mediated regulation of cellular energy metabolism in the ruminal bacterium Streptococcus bovis by Yunan Weng, Yaqian Jin, Wenze Zhang, Lihong Wang, Hongrong Wang

“…Based on the random forest algorithm, glutamine and UDP-GlcNac were identified as biomarkers under varying glucose conditions and in the presence or absence of ccpA. …”
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Machine Learning–based Identification of Prognostic Factors for Surgical Management in Patients With NOS Sarcoma by Christoph Wallner, Dr. med, Sonja V. Schmidt, Dr. med, Felix Reinkemeier, Dr. med, Marius Drysch, Dr. med, Alexander Sogorski, Dr. med, Maxi von Glinski, Dr. med, Patrick Harenberg, Dr. med, Mustafa Becerikli, Dr. med, Marcus Lehnhardt, Prof., Ingo Stricker, Dr. med, Mehran Dadras, Dr. med, Flemming Puscz, Dr. med

“…Considering the comparatively small cohort with which the machine learning algorithm was trained, this study underscores the importance of considering age, tumor size, location, body mass index, and tumor grading in the management of NOS sarcomas, shedding light on factors that may impact clinical outcomes and guide personalized treatment strategies.…”
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Using A Neural Network to Generate Images When Teaching Students to Develop an Alternative Text by Yekaterina A. Kosova, Kirill I. Redkokosh, Pavel O. Mikheyev

“…The study was carried out in April-May 2023. 17 undergraduate students studied the requirements for developing text alternatives, completed initial text descriptions for three proposed photographs, and then corrected the text using the Kandinsky 2.1 neural network according to the algorithm: generating an image from the description; visual comparison of the resulting image with the original; returning to editing the description or ending the process. …”
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An update on multimodal imaging strategies for nipple discharge: from detection to decision by Mireia Pitarch, Rodrigo Alcantara, Laura Comerma, Ivonne Vázquez de Las Heras, Javier Azcona, Antonia Wiedemann, Maja Prutki, Eva Maria Fallenberg

“…Although invasive, ductoscopy helps identify patients who may not require duct excision. This review consolidates the latest evidence and proposes an updated diagnostic algorithm for managing PND effectively. …”
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Digital innovation in healthcare: quantifying the impact of digital sepsis screening tools on patient outcomes—a multi-site natural experiment by Sarah Tonkin-Crine, Graham Cooke, Anthony C Gordon, Anthony Gordon, Shashank Patil, Runa Lazzarino, Andrew Brent, Kate Honeyford, Céire E Costelloe, Anne Kinderlerer, John Welch, Peter Ghazal, Claire Burnett, Alf Timney, Andrew Jonathan Brent, Cerie Costelloe, Pippa Goodman Ben Glampson

“…We evaluated the impact of sepsis screening tools on in-patient 30-day mortality across four multi-hospital NHS Trusts, each using a different algorithm for early detection of sepsis.Methods Using quasi-experimental methods, we investigated the impact of the screening tools. …”
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THE PERCENTAGE AND STRUCTURE OF PERODONT TISSUE DISEASES IN PATIENTS OF LVIV REGIONAL STATIONARY CLINICAL HOSPITAL DEPENDING ON AGE by M. М. Shevchuk

“…To study the prevalence and structure of periodontal tissue lesions in patients with general - somatic diseases in order to develop a therapeutic algorithm in a hospital setting. Materials and methods. …”
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Using proximal sensor data for soil salinity management and mapping by Yan GUO, Yin ZHOU, Lian-qing ZHOU, Ting LIU, Lai-gang WANG, Yong-zheng CHENG, Jia HE, Guo-qing ZHENG

“…Afterwards, fuzzy-k means algorithm was used to divide the site-specific management zones within the time series apparent soil electrical conductivity (ECa) data and the spatial correlations of variation. …”
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Cardiac Computed Tomography Measurements in Pulmonary Embolism Associated with Clinical Deterioration by Anthony J. Weekes, Angela M. Pikus, Parker L. Hambright, Kelly L. Goonan, Nathaniel O’Connell

“…We used an artificial intelligence (AI) algorithm to measure RV:LV on anonymized CTPAs from registry patients for whom the PERT was activated (2018–2023) by institutional guidelines. …”
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P-Band PolInSAR Sub-Canopy Terrain Retrieval in Tropical Forests Using Forest Height-to-Unpenetrated Depth Mapping by Chuanjun Wu, Jiali Hou, Peng Shen, Sai Wang, Gang Chen, Lu Zhang

“…For tropical forests characterized by tall and densely packed trees, even long-wavelength SAR signals may fail to achieve full penetration, posing a significant challenge for retrieving sub-canopy terrain using polarimetric interferometric SAR (InSAR)(PolInSAR) techniques. …”
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EEG Microstate Dynamics during Different Physiological Developmental Stages and the Effects of Medication in Schizophrenia by Shihai Ling, Lingyan Du, Xi Tan, Guozhi Tang, Yue Che, Shirui Song

“…After pre-processing, EEG data from different groups were subjected to microstate analysis, and the K-Means clustering algorithm was applied to classify the data into 4 microstates. …”
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