Novel and potent MICA/B antibody is therapeutically effective in KRAS LKB1 mutant lung cancer models by Shohei Koyama, Yujiro Naito, John D Minna, David E Gerber, Ryan R Kowash, Manoj Sabnani, Laura T Gray, Qing Deng, Nusrat U A Saleh, Luc Girard, Kentaro Masahiro, Zhiqian Lucy Liu, Hemanta Baruah, Esra A Akbay

“…Background Concurrent KRAS LKB1 (STK11, KL) mutant non-small cell lung cancers (NSCLC) do not respond well to current immune checkpoint blockade therapies, however targeting major histocompatibility complex class I-related chain A or B (MICA/B), could pose an alternative therapeutic strategy through activation of natural killer (NK) cells.Methods Expression of NK cell activating ligands in NSCLC cell line and patient data were analyzed. …”
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Sistem Pengenalan Wajah 3D Menggunakan ICP dan SVM by Nadya Viana De Lima, Ledya Novamizanti, Eko Susatio

“…Whereas SVM is a classification method by determining the image class based on information obtained from the extraction of features. …”
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Outcomes of patients after successful left ventricular assist device explantation: a EUROMACS study by Christiaan F.J. Antonides, Felix Schoenrath, Theo M.M.H. deBy, Rahatullah Muslem, Kevin Veen, Yunus C. Yalcin, Ivan Netuka, Jan Gummert, Evgenij V. Potapov, Bart Meyns, Mustafa Özbaran, David Schibilsky, Kadir Caliskan, the EUROMACS investigators

“…The median follow‐up after explantation was 26 months (range 0.3–73 months), and 82% of the patients were in New York Heart Association Class I or II. Beta‐blockers were prescribed to 85%, angiotensin‐converting enzyme inhibitors to 71%, and loop diuretics to 50% of the patients, respectively. …”
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Evaluation of Relationship between Schemas and Panic Disorder through a Case Treated with Schema Therapy by Esra Yancar Demir, Gonca Soygüt

“…In this paper we report the schema formulation of a female patient who had an axis I panic disorder with B class personality and chronic life problems. Case: 36 years old female patient with collage degree. …”
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Mortality prediction of inpatients with NSTEMI in a premier hospital in China based on stacking model. by Li Wang, Yu Zhang, Feng Li, Caiyun Li, Hongzeng Xu

“…Firstly, oversampling technique was used to alleviate the class imbalance problem. Secondly, the feature selection method of Recursive Feature Elimination (RFE) was selected for effective feature selection. …”
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Рrevention of contrast-induced nephropathy during interventional treatment of acute coronary syndrome by L.O. Miakinkova, T.I. Yarmola, G.L. Pustovoit, Iu.A. Kostrikova, B.O. Pysana, V.V. Talash

“…It has been shown that the risk of contrast-induced nephropathy depends on the stage of chronic kidney disease and is associated with a decrease in the ejection fraction of the left ventricle (≤40%), acute left ventricle failure of the III and IV classes according to Killip, a decrease in diuresis up to ≤0.6 ml/h/kg in the first 12-24 hours after urgent percutaneous coronary intervention; taking metformin 6-12 hours before the administration of the X-ray contrast medium and the glomerular filtration rate ≤45 ml/min./1.73 m2. …”
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Hospital-Based Air-Borne and Surface-Borne Bacterial Pathogens and Their Antimicrobial Profiles in Wolaita Sodo, Southern Ethiopia by Chemere Madebo, Admasu Haile, Temesgen Eticha, Fithamlak Solomon

“…Method. A laboratory-based cross-sectional study was conducted from May to July 2021. …”
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Clinical and analytical monitoring of patients with multiple sclerosis on anti-CD20 therapeutics: a real-world safety profile study by André Aires Fernandes, André Aires Fernandes, Ana Lídia Neves, Ana Lídia Neves, Daniela Ferro, Daniela Ferro, Mafalda Seabra, Mafalda Seabra, Teresa Mendonça, Ricardo Soares dos Reis, Ricardo Soares dos Reis, Maria José Sá, Joana Guimarães, Joana Guimarães, Pedro Abreu, Pedro Abreu

“…BackgroundAnti-CD20 monoclonal antibodies are a class of immunosuppressive drugs widely used in the treatment of central nervous system (CNS) inflammatory diseases, with well-established efficacy and safety. …”
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Characterisation of cardiovascular disease (CVD) incidence and machine learning risk prediction in middle-aged and elderly populations: data from the China health and retirement lo... by Qing Huang, Zihao Jiang, Bo Shi, Jiaxu Meng, Li Shu, Fuyong Hu, Jing Mi

“…Feature selection was performed using the Least Absolute Shrinkage and Selection Operator (Lasso CV) method with cross-validation prior to model training. The application of the synthetic minority over-sampling technique (SMOTE) to address class imbalance. …”
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Computational thinking in the context of higher education: Analytical review by E. K. Khenner

“…Non-cognitive skills include self-confidence, communication skills, flexibility, and others.Methods for assessing the maturity of students’ computational thinking include the results of solv­ing problems in block programming environments such as Scrath; knowledge/skill tests, self-assessment scales/surveys; tests on knowledge of the basics of computational thinking, interviews and observations; interviews, grades for assignments/courses, surveys/questionnaires, solving problems external to the class; the use of a special software environment, the use of criteria for assessing computational thinking and/or psychometric tools; assessments based on solving robotic problems or evaluating artifacts creat­ed during the game, and others.A comparison of computational thinking with digital competencies at the skill level leads to the conclusion that in computational thinking, skills represent a certain fixed set of meta-skills needed by a student regardless of solving specific problems (for example, abstraction skills). …”
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Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm by Xuehui Fan, Ruixue Ye, Yan Gao, Kaiwen Xue, Zeyu Zhang, Jing Xu, Jingpu Zhao, Jun Feng, Yulong Wang

“…The tiered diagnosis and treatment tool effectively helped doctors assess patients’ conditions and recommend suitable medical institutions based on rehabilitation grading.ConclusionThis study confirmed that ensemble learning methods, particularly XGBoost, outperform single models in classification tasks involving complex datasets. Addressing class imbalance and enhancing feature engineering can further improve model performance. …”
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Using XBGoost, an interpretable machine learning model, for diagnosing prostate cancer in patients with PSA < 20 ng/ml based on the PSAMR indicator by Dengke Li, Baoyuan Chang, Qunlian Huang

“…The best-performing model was selected and evaluated through tenfold cross-validation to ensure interpretability. Finally, the performance was assessed using the test set data for validation. …”
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Gender and age features in adults with congenital heart disease by I.G. Lebid

“…Female patients with CHD had significantly more often arrhythmia history (236 women compared to 201 male patients, p < 0.05), significantly higher degree of heart failure class > 1 NYHA (453 women and 285 men, p < 0.05), and significantly more often required medications (660 women and 466 men, p < 0.05). …”
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Drug utilization study of antiparkinsonian medication in Romania during 25 years by Camelia Bucsa, Denisa Bruhs, Anamaria Apan, Elena Francu, Cristina Mogosan, Irina Iaru

“…MAO-B inhibitors represented the second most used antiparkinsonian drug class for the majority of the years. Selegiline was the most used until 2017 (0.82 DDD/TID), when a decrease in use was observed and continued until 2022 (0.49 DDD/TID). …”
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Decreased sirtuin 1 in type 2 diabetes patients with abnormal BMD by Yao Xu, Tianxiao Hu, Peiwu Jiang, Xiujing Wang, Jiaqi Yao, Huiling Shen, Zhenying Zhang, Bojing Zheng, Ting Wang, Yanxia Ren, Jing Wang, Qingying Tan

“…IntroductionSirtuin 1, a class III histone deacetylase, plays a critical role in the pathophysiology of both diabetes mellitus and bone metabolism by promoting osteoblast differentiation and inhibiting osteoclast maturation. …”
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HLA-DMB correlates with antitumor immunity and an improved prognosis in endometrial carcinoma tumors by Xiaoyu Xi, Xiaona Zhang, Jianxin Tang, Xiumei Fan, Jiexian Du

“…HLA-DMB, the beta chain of the non-classical MHC class II protein HLA-DM, has been implicated in the progression of various cancers. …”
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Exploring practical experience with different treatments in NSCLC patients with MET-deregulated: a retrospective analysis from the real world by Mengmeng Li, Jiuyan Huang, Ruyue Xing, Xinyang Du, Chunhua Wei, Huijuan Wang

“…MET amplification patients benefit universally from targeted therapies; primary MET amplifications show higher benefits with increased copy numbers. For secondary MET amplifications post-EGFR-TKI resistance, dual-target therapy surpasses Crizotinib monotherapy, independent of MET copy number.…”
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Combining a Risk Factor Score Designed From Electronic Health Records With a Digital Cytology Image Scoring System to Improve Bladder Cancer Detection: Proof-of-Concept Study by Sandie Cabon, Sarra Brihi, Riadh Fezzani, Morgane Pierre-Jean, Marc Cuggia, Guillaume Bouzillé

“…This combination offers a higher associated risk of cancer than VisioCyt alone for all classes, especially for low-grade bladder cancer. …”
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Modulatory effect of Echium plantagineum oil on the n-3 LC-PUFA biosynthetic capacity of chicken (Gallus gallus) by Jesús Villora, José Antonio Pérez, Nieves Guadalupe Acosta, Deiene Rodríguez-Barreto, Pedro Juan Alonso, Mónica B. Betancor, Alexandr Torres, Sergio Álvarez, Covadonga Rodríguez

“…The dietary treatments did not affect the total lipid (TL) content (p>0.05) and did not substantially vary the lipid class (LC) profiles in the brain, liver, intestine, and muscle tissues. …”
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GC/MS Fatty Acid Profile of Marine-Derived Actinomycetes from Extreme Environments: Chemotaxonomic Insights and Biotechnological Potential by Marlene B. Cunha, André F. Jorge, Maria João Nunes, Joana R. Sousa, Maria João Lança, Marco Gomes da Silva, Susana P. Gaudêncio

“…This study investigated the fatty acids (FA) profile of 54 actinomycete strains isolated from marine sediments collected off the Portugal continental coast, specifically from the Estremadura Spur pockmarks field, by GC/MS. …”
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