Gambaran Kejadian Hemoptisis pada Pasien di Bangsal Paru RSUP Dr. M. Djamil Padang Periode Januari 2011 – Desember 2012 by Intan Irfa, Irvan Medison, Detty Iryani

“…Moderate hemoptysis (34%) were the highest frequency distribution based on classification of hemoptysis, with pulmonary tuberculosis as the main etiology (47.6%). …”
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Peculiarities of qualification of crimes in the field of computer information and counteraction to them by I. A. Efremova

“…The classification of this feature as qualifying is based on the degree of public danger of the crime. …”
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Endothelial Dysfunction, Functional Structural Changes in the Vessels in Patients with the Unstable Angina with Arterial Hypertension by Denesiuk O.

“…The UA according to the classification of NYHA: II FC was diagnosed in 15.4%, and III FC – in 84.6%. …”
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Evaluation of multiple SAR speckling filter techniques performance in irrigated rice areas by A. D. B. Garcia, A. D. B. Garcia, A. D. B. Garcia, J. Jr. Celeste, I. Cheng, I. Cheng, V. H. R. Prudente, I. D. Sanches, I. D. Sanches

“…Our experiments reveal that BM3D with a sigma parameter of 10 (<em>BM3D</em>_{<em>sigma</em>10} ) provided superior results, balancing effective speckle suppression and edge preservation. …”
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Genotypic and phenotypic characterization of virulence in methicillin resistant Staphylococcus aureus isolated from a local hospital of Ahmedabad, Gujarat, India by Hardi Patel, Aakruti Patel, Ravi Chauhan, Toral Bhavsar, Sanjay Rathod, Mina Kadam, Anurag Rawat, Seema Rawat

“…Genotypically, adhesion genes, ebpS, eno, sarA, fnbA and cna were reported in 94.07%, 93.22%, 82.20%, 78.81% and 67.80% of isolates, respectively and virulence genes, spA, SE family, coa, pvl and tsst, were reported in 99.15%, 97.46%, 84.75%, 77.12% and 50% of isolates, respectively. agr typing and SCCmec classification revealed agr type I (61.02%) and SCCmec type III (35.59%) to be the most prevalent type. …”
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Development of an AI model for DILI-level prediction using liver organoid brightfield images by Shiyi Tan, Yan Ding, Wei Wang, Jianhua Rao, Feng Cheng, Qiuyin Zhang, Tingting Xu, Tianmu Hu, Qinyi Hu, Ziliang Ye, Xiaopeng Yan, Xiaowei Wang, Mingyue Li, Peng Xie, Zaozao Chen, Geyu Liang, Yuepu Pu, Juan Zhang, Zhongze Gu

“…To our knowledge, this is the first model to output ternary classification of hepatotoxicity. Overall, DILITracer, using clinical data as an endpoint categorization label, offers a rapid and effective approach for screening hepatotoxic compounds.…”
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Electrochemical skin conductance: a tool for risk stratification and early anticipation of diabetic foot ulcers by Jean-François Gautier, Jean-François Gautier, Jean-Pierre Riveline, Jean-Pierre Riveline, Louis Potier, Louis Potier, Olivier Bourron, Lyse Bordier, Benjamin Vittrant, Ronan Roussel, Bernard Bauduceau

“…ROC analysis showed strong predictive value for severe DFUs (AUC = 0.82 for grade 3) but limited performance for early stages. Notably, ESC identified at-risk patients within grade 0, undetected by standard classification.DiscussionESC provides a reproducible, operator-independent tool for DFU risk assessment, improving early detection beyond monofilament testing. …”
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Context-Defined Model of Open Systems Interaction for IoT Cybersecurity Issues Study by Victor Tikhonov, Eduard Siemens, Yevhen Vasiliu, Valery Sitnikov, Abdullah Taher, Olena Tykhonova, Kateryna Shulakova, Serhii Tikhonov

“…An original context-defined model of open systems interaction S-CDM has been constructed for cybersecurity issues study with the use of J. Neumann classification and A. Uemov system triad. The S-CDM model is shaped in 3-layer hierarchical graph. …”
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Combined clinical and MRI-based radiomics model for predicting acute hematologic toxicity in gynecologic cancer radiotherapy by Lumeng Luo, Lumeng Luo, Jiahao Wang, Jiahao Wang, Hongling Xie, Hongling Xie, Bingxin Chen, Bingxin Chen, Hui Wang, Hui Wang, Qiu Tang, Qiu Tang

“…Feature selection was performed using LASSO and random forest algorithms, followed by comparison across multiple classification models. In the independent test set, the combined clinical and MRI-radiomics model showed superior predictive performance (AUC=0.927, accuracy=85.5%, sensitivity=92.3%, specificity=66.7%) compared to clinical-only (AUC=0.703), MRI-only (AUC=0.925, but low specificity of 38.1%), and CT-only models (AUC=0.54). …”
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Diagnostic performance of a new algorithm combining simple, non-invasive and inexpensive tests for predicting the presence of advanced liver fibrosis in patients with chronic hepat... by Jean Nana, Jean Luc Bosson, Kristina Skaare, Céline Vermorel, Vincent Leroy, Tarik Asselah, Michael Adler, Jean-Pierre Zarski

“…This rule applies to 60 out of 408 patients (14.7%), of whom 41 were correctly classified as F3-F4 (68.3%) based on liver biopsy findings (Se = 53.9, Sp = 94.3, PPV = 68.3, NPV = 89.9). …”
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The Danish Lymphoid Cancer Research (DALY-CARE) Data Resource: The Basis for Developing Data-Driven Hematology by Brieghel C, Werling M, Frederiksen CM, Parviz M, Lacoppidan T, Faitova T, Teglgaard RS, Vainer N, da Cunha-Bang C, Rotbain EC, Agius R, Niemann CU

“…Christian Brieghel,1,2,&ast; Mikkel Werling,1,2,&ast; Casper Møller Frederiksen,1,2 Mehdi Parviz,1,3 Thomas Lacoppidan,1 Tereza Faitova,1,2 Rebecca Svanberg Teglgaard,1,4 Noomi Vainer,1,2 Caspar da Cunha-Bang,1,2 Emelie Curovic Rotbain,1,2 Rudi Agius,1 Carsten Utoft Niemann1– 3 1Department of Hematology, Copenhagen University Hospital – Rigshospitalet, Copenhagen, Denmark; 2Danish Cancer Institute, Copenhagen, Denmark; 3Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark; 4Department of Clinical Immunology, Copenhagen University Hospital – Rigshospitalet, Copenhagen, Denmark&ast;These authors contributed equally to this workCorrespondence: Christian Brieghel, Rigshospitalet, Department of Hematology, Blegdamsvej 9, Building 7054, Copenhagen Ø, 2100, Denmark, Tel +45 35453741, Email christian.brieghel@regionh.dkBackground: Lymphoid-lineage cancers (LC; International Classification of Diseases, 10th edition [ICD10] C81.x-C90.x, C91.1-C91.9, C95.1, C95.7, C95.9, D47.2, D47.9B, and E85.8A) share many epidemiological and clinical features, which favor meta-learning when developing medical artificial intelligence (mAI). …”
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Much more than an introduction to the language-specific lexical semantics by Igor Marko Gligorić

“…The manuscript was reviewed by three distinguished linguists – Maja Bratanić, Branimir Belaj, and Ida Raffaelli – all esteemed figures in their fields. …”
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Patient-Reported Outcomes Differentially Worsen in Patients With Greater Obesity Classes After Hip Arthroscopy by Gregory Perraut, M.D., Madison Thompson, B.A., Emily Krisanda, M.D., Seleem Elkadi, M.D., Shankar Thiru, B.A., Danny Chamaa, B.A., Evan Michaelson, M.D., William Postma, M.D.

“…In total, 288 patients (82.5%) did not have obesity and 61 patients (17.5%) had obesity. In the obesity group, 3 patients (4.9%) were defined as having class III obesity. …”
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Monoclonal Gammopathy of Renal Significance: Consensus of Hematologists and Nephrologists of Russia on the Establishment of Nosology, Diagnostic Approach and Rationale for Clone Sp... by A. V. Smirnov, B. V. Afanasyev, I. V. Poddubnaya, V. A. Dobronravov, M. S. Khrabrova, E. V. Zakharova, E. A. Nikitin, L. V. Kozlovskaya, I. N. Bobkova, V. V. Rameev, M. M. Batyushin, Шю S. Moiseev, E. I. Darskaya, O. V. Pirogova, L. P. Mendeleeva, L. S. Biryukova

“…Consensus document comprises the opinion of experts — leading nephrologists and hematologists of Russian Federation — on the problem of MGRS including the incoherence in nosology classification, diagnostics approach and rationale for clone specific treatment. …”
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SPRC: A novel Sentinel-1/-2 Phenology-enhanced framework for automated paddy rice mapping by Jian Li, Fengchang Xue, Guicai Li, Mingwei Zhang, Jinyan Tian, Hanchao Zhang

“…These findings illustrate the SPRC framework’s efficacy and precision in mapping paddy rice. The 3-year rice data are invaluable for food surveillance, regional agricultural monitoring, and policy-making.…”
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First Brazilian consensus on the management of localized and locally advanced urothelial bladder cancer: a SBU-SBOC-SBRT-LACOG-GU panel review by Lucas Nogueira, Icaro Thiago de Carvalho, Ary Adamy, Daher Chade, Luis Felipe Piovesan, Ricardo Favaretto, Allisson Bruno Barcelos Borges, Arthur Accioly, Diogo Assed Bastos, Diogo Augusto Rodrigues da Rosa, Fernando C Maluf, Andrey Soares

“…Introduction: Urothelial carcinoma, especially localized bladder cancer, has a substantial prevalence in Brazil with 9,480 new cases each year and 3,903 deaths, therefore progress is required in its management in order to decrease its recurrence and progression, and improve survival. …”
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Comprehensive analysis and quantitative assessment of land use/land cover dynamics in Wakiso and Kampala, Uganda: a multi-decadal remote sensing study by Ebaju Gerverse Kamukama, Abraham Okrah, Magara Genesis, Caleb Mensah, Alupot Donnata, Nana Agyemang Prempeh, Emmanuel Yeboah, Isaac Sarfo

“…Pre-processing included corrections and haze reduction in ArcMap 10.4. Supervised classification used a False Colour Composite of blue, green, and red bands, with 2,500–3,000 pixels per LULC category sampled. …”
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Epidemiology and future trend predictions of ischemic stroke based on the global burden of disease study 1990–2021 by Jiayu Liu, Aoxi Xu, Zhifeng Zhao, Bin Ren, Zhao Gao, Dandong Fang, Bo Hei, Junzhao Sun, Xiangyang Bao, Lin Ma, Xiaoque Zheng, Yuxin Wang, Hecheng Ren, Guan Wang, Li Zhu, Jianning Zhang

“…Methods We stratify epidemiological parameters by sex, age, the World Bank’s classification of economies, and sociodemographic index (SDI) levels. …”
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Incidence of Acute Kidney Injury in Patients with Chronic Renal Insufficiency: Transcatheter versus Surgical Aortic Valve Replacement by Michael Catalano, Dishen Lin, Hugh Cassiere, Nina Kohn, Bruce Rutkin, Greg Maurer, Jacinda A. Berg, Jaclyn Jahn, Rick Esposito, Alan Hartman, Pey-Jen Yu

“…The incidence of postoperative AKI was compared using the RIFLE classification system for acute kidney injury. Results. …”
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Establishment and mapping of heterogeneous anomalies in network intrusion datasets by Liam Riddell, Mohiuddin Ahmed, Paul Haskell-Dowland

“…However, many systems have been designed based on the absolute mapping of attacks to one of three anomaly types (i.e. point, collective, or contextual), a strategy not supported by the recent findings of hybrid anomaly classifications. …”
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