PHOSPHATE CRYSTALLURIA IN VARIOUS FORMS OF UROLITHIASIS AND POSSIBILITIES OF ITS PROGNOSTICATION IN PATIENTS WITH PHOSPHATE STONES by O. V. Konstantinova, E. K. Yanenko

“…The examination included the collection of anamnesis, general and microbiological analysis of urine, biochemical blood serum and urine on 10 indicators, reflecting renal function, state of the protein, water and electrolyte metabolism, uric acid metabolism, the chemical composition of the stone analysis.Results. …”
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The role of circ_0050908 in acute myocardial infarction (AMI) and its predictive value for AMI by Quan Song, Li Fang, Zheyi Rong, Jingyi Yan, Junbo Wei, Jie Luan

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Machine learning-based prediction model for lung ischemia-reperfusion injury: insights from disulfidptosis-related genes by Yanpeng Zhang, Yanpeng Zhang, Yanpeng Zhang, Jingyang Sun, Jingyang Sun, Jingyang Sun, Yihan Lin, Yihan Lin, Yihan Lin, Rongxuan Jiang, Rongxuan Jiang, Rongxuan Jiang, Niuniu Dong, Niuniu Dong, Niuniu Dong, Huanhuan Dong, Huanhuan Dong, Huanhuan Dong, Peng Li, Peng Li, Peng Li, Jinteng Feng, Jinteng Feng, Jinteng Feng, Zijiang Zhu, Guangjian Zhang, Guangjian Zhang, Guangjian Zhang

“…Differential expressed analysis and functional enrichment analysis were conducted to identify key genes associated with lung transplant IRI. …”
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Self-Supervised Pretraining and Quantization for Fault Tolerant Neural Networks: Friend or Foe? by Rosario Milazzo, Sophie M. Fosson, Lia Morra, Luca Sterpone

“…Experimental results suggest that SSL pretraining, whether used alone or in combination with error mitigation techniques, generally enhances DNN fault tolerance. We complement these findings with an in-depth analysis of the fault tolerance of quantized networks. …”
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The Geometry of Concepts: Sparse Autoencoder Feature Structure by Yuxiao Li, Eric J. Michaud, David D. Baek, Joshua Engels, Xiaoqing Sun, Max Tegmark

“…We find that the quality of such parallelograms and associated function vectors improves greatly when projecting out global distractor directions such as word length, which is efficiently performed with linear discriminant analysis. (2) The “brain” intermediate-scale structure has significant spatial modularity; for example, math and code features form a “lobe” akin to functional lobes seen in neural fMRI images. …”
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An Experimental Set-up Involving Low-cost Digital Controller to Study the Magnetizing Inrush Current in a Transformer using Point-on-Wave Switching Technique by Nayak Ananya, Chatterjee Dipankar, Dalapati Suvarun

“…Generally in under-graduate studies, magnetizing inrush current (MIC) is discussed theoretically without giving much practical exposure. …”
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Quality of Life and Symptoms of Hospitalized Hematological Cancer Patients by Theocharis I. Konstantinidis, Ioanna Tsatsou, Eleftheria Tsagkaraki, Evgenia Chasouraki, Maria Saridi, Theodoula Adamakidou, Ourania Govina

“…The highest levels of QOL were found in the subscale of cognitive function (72.8) and the lowest in the role function (46.1). …”
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Understanding the Metabolic Effects of Surgically Induced Renal Ischemia in Humans: A Temporal Approach by Bhargav Arimilli, Tyler A. On, Vaishnavi S. Srirama, Ye Yang, Gitanjali Asampille, Jeffrey R. Brender, Murali C. Krishna, Jessica Y. Hseuh, Viraj P. Chegu, Zachary Kozel, Sandeep Gurram, Mark W. Ball, William Marston Linehan, Daniel R. Crooks

“…The conventional metabolic markers used to characterize post-surgical renal function, such as creatinine and GFR, are measured in the serum but do not provide metabolic information about the renal parenchyma itself. …”
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Impairment in work and activities of daily life in patients with psoriasis: results of the prospective BioCAPTURE registry by Tamara W. van Hal, Juul M. P. A. van den Reek, Mark H. Wenink, Marisol E. Otero, Paul M. Ossenkoppele, Marcellus D. Njoo, Annet Oostveen, Bas Peters, Milan Tjioe, Else N. Kop, John E. M. Körver, Sharon R. P. Dodemont, Marloes M. Kleinpenning, Maartje A. M. Berends, Wendelien R. Veldkamp, Martijn B. A. van Doorn, Johannes M. Mommers, Robert-Jan Lindhout, Astrid L. A. Kuijpers, Paula P. van Lümig, C. (Els) J. de Jonge, Ron A. Tupker, Judith Hendricksen, Romy R. Keijsers, Frank H. J. van den Hoogen, Johanna E. Vriezekolk, Elke M. G. J. de Jong

“…Changes in impairment parameters and correlations between impairment and patient/disease characteristics were assessed using generalized estimating equations.Results: We included 194 patients in our analysis. …”
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Rapid-throughput skeletal phenotyping of 100 knockout mice identifies 9 new genes that determine bone strength. by J H Duncan Bassett, Apostolos Gogakos, Jacqueline K White, Holly Evans, Richard M Jacques, Anne H van der Spek, Sanger Mouse Genetics Project, Ramiro Ramirez-Solis, Edward Ryder, David Sunter, Alan Boyde, Michael J Campbell, Peter I Croucher, Graham R Williams

“…None of the nine genes have been implicated previously in skeletal disorders and detailed analysis of the biomechanical consequences of their deletion revealed a novel functional classification of bone structure and strength. …”
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Could Some Geriatric Characteristics Hinder the Prescription of Anticoagulants in Atrial Fibrillation in the Elderly? by Paule Denoël, Jacques Vanderstraeten, Pierre Mols, Thierry Pepersack

“…The following data was collected from patients presenting AF: medical history including treatment and comorbidities, CHADS2 score, ISAR scale (frailty), Lawton’s scale (ADL), GDS scale (mood status), MUST (nutrition), and blood analysis (INR, kidney function, and albumin). Among those patients for who anticoagulation treatment was recommended (73%), only 61% were treated with it. …”
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Development of Dynamic Impact Factor Expressions for Skewed Composite Concrete-Steel Slab-On-Girder Bridges by Iman Mohseni, Amin Ashin, Won Choi, Junsuk Kang

“…In order to take into account the dynamic effects of moving vehicles, bridges are designed to carry static loads that are increased by dynamic impact (IFs) factors (or dynamic amplification factors) that are a function of either the span or the first flexural natural frequency of the bridge. …”
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AUDIT COMMITTEE’S ATTRIBUTES AND QUALITY OF FINANCIAL REPORTING ON LISTED CONSUMER GOODS FIRMS IN NIGERIA by Idris Kayode MUHAMMED, Ganiyu ABDULYAKEEN, Kate Theophilus AJIDE, Kolapo Olufemi OYALEKE

“…The data was analyzed using fixed effect regression analysis after conducting the Hausman test and the Breusch-Pagan test. …”
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Decoding public sentiment topics in google map reviews on urban infrastructure development of belt and road initiative by Yue Xiong, Jiayong Liang, Chenghe Guan

“…Using the Valence Aware Dictionary and Sentiment Reasoner for sentiment analysis and Multi-grained Latent Dirichlet Allocation for topic modeling, the study reveals that sentiment for BRI projects is generally positive, especially in upper-middle-income countries. …”
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Accurate Extraction of Rural Residential Buildings in Alpine Mountainous Areas by Combining Shadow Processing with FF-SwinT by Guize Luan, Jinxuan Luo, Zuyu Gao, Fei Zhao

“…Building upon this, the Feature Fusion Swin Transformer (FF-SwinT) model was constructed by optimizing the data processing, loss function, and multi-view feature fusion. Finally, we rigorously evaluated it through ablation studies, generalization tests and large-scale image application experiments. …”
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DDD++: Exploiting Density map consistency for Deep Depth estimation in indoor environments by Giovanni Pintore, Marco Agus, Alberto Signoroni, Enrico Gobbetti

“…To further enhance structural consistency, we introduce a novel loss function that assesses density map consistency by projecting points from the predicted depth map onto a horizontal plane and a cylindrical proxy. …”
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AGW-YOLO-Based UAV Remote Sensing Approach for Monitoring Levee Cracks by HU Weibo, ZHOU Shaoliang, ZHAO Erfeng, ZHAO Xueqiang

“…Finally, to address the multi-scale variation of cracks, the original loss function was replaced with WIoUv3. This loss function incorporates an outlier degree evaluation and a dynamic non-monotonic focusing mechanism, which adaptively adjusts the optimization intensity of anchor boxes with varying qualities. …”
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Multidisciplinary management of a norovirus outbreak in Tuscany, Italy by Clara Girardi, Lucia Kundisova, Francesca Marconi, Alessandra Guidi, Johanna Alexandra Iamarino, Veronica Gallinoro, Silvia Mele, Giovanni Nardone, Maurizio Grani, Giovanni Munaò, Luca Cianti, Paola Picciolli, Ylenia Zizzo, Loria Bianchi, Martina Sartoni

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3D echocardiography derived reference values and determinants of left ventricular twist and torsion from the population-based STAAB cohort study by Julia Napp, Götz Gelbrich, Floran Sahiti, Vladimir Cejka, Dora Pelin, Lena Schmidbauer, Mengmeng Chen, Niklas Hitschrich, Marcus Schreckenberg, Stefan Frantz, Peter U. Heuschmann, Stefan Störk, Caroline Morbach

“…Abstract Left ventricular (LV) rotational function parameters provide in-depth information about LV mechanical function as well as prognostic information. …”
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Ionospheric Electron Density and Temperature Profiles Using Ionosonde-like Data and Machine Learning by Jean de Dieu Nibigira, Richard Marchand

“…This paper presents a novel way of inferring ionospheric electron density profiles and electron temperature profiles using machine learning. The analysis is based on the Nearest Neighbour (NNB) and Radial Basis Function (RBF) regression models. …”
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