Whether Detection of Gene Mutations Could Identify Low- or High-Risk Papillary Thyroid Microcarcinoma? Data from 393 Cases Using the Next-Generation Sequencing by Lei Jin, Liang Zhou, Jian-Biao Wang, Li Tao, Xiao-Xiao Lu, Na Yan, Qian-Ming Chen, Li-Ping Cao, Lei Xie

“…In clinical practice, BRAFV600E mutation does not consistently serve as an effective biomarker to distinguish high-risk PTMC or predict tumor progression. The size of the tumor has a significant correlation with its aggressive characteristics. …”
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DEVELOPMENT OF SPECTROPHOTOMETRIC METHOD FOR DETERMINATION OF LISINOPRIL IN TABLET DOSAGE FORM by Nataliya Shulyak, Kateryna Budzivula, Lubomyr Kryskiw, Tetiana Kucher

“…The total uncertainty of the analytical procedure (DAs) in the analysis of the drug was 2.56%. The predicted complete uncertainty of the analysis results did not exceed critical values (DAs=2.56 % £ maxDAs=3.2 %), the method is correct. …”
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Impact of White Blood Cell Count After Percutaneous Coronary Intervention on Long-Term Prognosis in Patients with Unstable Angina Pectoris: A Single-Center Retrospective Observatio... by Zhang Z, Wang H, Wang R, She Z, Liang X, Liu H, Kou X, Wang S

“…The post-PCI leukocytosis offered predictive value for an increased risk of MACE for up to 5 years in patients with UA.Keywords: white blood cell count, percutaneous coronary intervention, unstable angina pectoris, leukocytosis, major adverse cardiovascular events…”
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Multiomic characterization, immunological and prognostic potential of SMAD3 in pan-cancer and validation in LIHC by Tao Zhou, Dan Dan Zhang, Jiejing jin, Jinyang Xie, Jianhua Yu, Chao Zhu, Rong Wan

“…Nevertheless, an extensive examination of the comprehensive pan-cancer impact on SMAD3’s diagnostic, prognostic, and immunological predictive utility has yet to be undertaken. Bioinformatics methods were employed to systematically investigate the potential carcinogenic impact of SMAD3. …”
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The Prognostic Significance of Sleep and Circadian Rhythm for Myocardial Infarction Outcomes: Case-Control Study by Wei-Chih Chin, Pao-Hsien Chu, Lung-Sheng Wu, Kuang-Tso Lee, Chen Lin, Chien-Te Ho, Wei-Sheng Yang, I-Hang Chung, Yu-Shu Huang

“…The use of actigraphy with different algorithms to evaluate sleep and circadian rhythm after acute MI has the potential for predicting outcomes and preventing future disease progression. …”
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Modeling Lake Titicaca's water balance: the dominant roles of precipitation and evaporation by N. Lima-Quispe, D. Ruelland, A. Rabatel, W. Lavado-Casimiro, T. Condom

“…To estimate upstream inflows, we evaluated the impact of snow and ice processes and net irrigation withdrawals on predicted streamflow and lake water levels. We also evaluated the role of heat storage change in evaporation from the lake. …”
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Single-Cell Transcriptome Analysis Reveals Different Immune Signatures in HPV- and HPV + Driven Human Head and Neck Squamous Cell Carcinoma by Simin Li, Yang Wang, Rui Sun, Debora Franceschi, Hongying Pan, Chenxuan Wei, Anthony Chukwunonso Ogbuehi, Bernd Lethaus, Vuk Savkovic, Sebastian Gaus, Rüdiger Zimmerer, Dirk Ziebolz, Gerhard Schmalz, Xiao Jiang

“…A hidden Markov model (HMM) was used to predict gene expression states (on or off) throughout pseudotime. …”
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Impact of Methotrexate and 7‐Hydroxymethotrexate Exposure on Renal Toxicity in Pediatric Non‐Hodgkin Lymphoma by Hao Bing, Yi Ma, Jiamin Xu, Qixian Ling, Yanlong Duan, Libo Zhao

“…The objectives of this study were thus to explore the exposure–safety relationship of two compounds and search the most reliable marker for predicting HDMTX nephrotoxicity. Method A total of 280 plasma concentration data (140 for MTX and 140 for 7‐OHMTX) for 60 pediatric patients with non‐Hodgkin lymphoma (NHL) were prospectively collected. …”
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Contribution of type 2 diabetes to major adverse cardiovascular events (MACE) in a long-term observational study with different stages of atherosclerosis by Arthur Mader, Dario Haeberli, Barbara Larcher, Jörn F. Dopheide, Christoph H. Saely, Christine F. Heinzle, Peter Amann, Marc Schindewolf, Andreas Festa, Heinz Drexel

“…Also, atherosclerosis grades predicted MACE (HR = 3.19 [2.75–3.70], p < 0.001) in univariate analyses, and also after multivariate adjustment for known cardiovascular risk factors, including T2DM (HR = 1.61 [1.31–1.98], p < 0.001). …”
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Large-scale screening of HIV-1 T-cell epitopes restricted by 12 prevalent HLA-A allotypes in Northeast Asia and universal detection of HIV-1-specific CD8+ T cells by Yan Ding, Jialai Yan, Ling Huang, Jinhong Yu, Yandan Wu, Chuanlai Shen, Anning Fang

“…This study aimed to identify T-cell epitopes derived from the GP160, GAG, and POL proteins of the HIV-1 strain, specifically linked to 12 prevalent HLA-A allotypes, that collectively represent approximately 91% of the total gene frequency in Northeast Asian populations.MethodsA total of 134 epitopes were predicted in silico and selected as potential candidates for further validation. …”
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Outcome and Management of Sepsis at RozhHalat Emergency Hospital in Erbil –Kurdistan region of Iraq by Samir Qader Ahmad, Shakawan Muhamad Ismaeel, Dara Ahmed Mohammed Ahmed Mohammed, Halgurd Fathulla Ahmed

“…The qSOFA score is as good as SIRS criteria in predicting mortality. High lactate, multi-organ failure and multisource of infection associated with the worst outcome. …”
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Antimicrobial Resistance Genes in Clinical <i>Escherichia coli</i> Strains from Livestock and Poultry in Shandong Province, China During 2015–2020 by Miaoli Wang, Shaopeng Wu, Yao Wang, Feng Chen, Zhangqi Shen, Zouran Lan

“…<b>Conclusions:</b> This study demonstrates the high prevalence and gene diversity of MDR <i>E. coli</i> isolated from a clinic in Shandong Province, East China. We predicted the transmission risk of animal-borne <i>Tet(X4)</i>-bearing and <i>mcr</i>-harboring <i>E. coli</i> to public health and provided insight into the relationship of co-existence or co-transfer between <i>mcr</i> with ARGS. …”
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Prospective Applications of Artificial Intelligence In Fetal Medicine: A Scoping Review of Recent Updates by Miskeen E, Alfaifi J, Alhuian DM, Alghamdi M, Alharthi MH, Alshahrani NA, Alosaimi G, Alshomrani RA, Hajlaa AM, Khair NM, Almuawi AM, Al-Jaber KH, Elrasheed FE, Elhassan K, Abbas M

“…The selected works were analyzed for common themes, AI methodologies applied, and the scope of AI’s integration into fetal medicine practice.Results: The review identified several key areas where AI applications are making strides in fetal medicine, including prenatal screening, diagnosis of congenital anomalies, and predicting pregnancy complications. AI-driven algorithms have been developed to analyze complex fetal ultrasound data, enhancing image quality and interpretative accuracy. …”
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Relationships between paddock-level pasture mass and cow data derived from GPS and behavior-monitoring on-animal sensors in rotationally grazed dairy systems by S.J. Hendriks, M. Qasim, J.P. Edwards

“…Irrespective of this, predictive potential may be limited due to a moderate amount of variation in pasture mass explained by data from behavior-monitoring and location sensors using linear modeling approaches. …”
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Presence of microplastics contamination in table salt and estimated exposure in humans by D.A. Syamsu, D. Deswati, S. Syafrizayanti, A. Putra, Y. Suteja

“…Furthermore, human exposure to microplastics can be predicted by calculating the estimated dietary intake and taking into account the daily salt intake.FINDINGS: Microplastics were detected in significant amounts (p<0.05) in all salt samples, ranging from 33 to 313 particles/kilogram. …”
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The effect of prone positioning on maternal haemodynamics and fetal wellbeing in the third trimester-A primary cohort study with a scoping review. by Laura Ormesher, Jessica Catchpole, Linda Peacock, Heather Pitt, Anastasia Fabian-Hunt, Dexter Hayes, Claudia Popp, Jason M Carson, Raoul van Loon, Lynne Warrander, Karli Büchling, Alexander E P Heazell

“…Anxiety was reduced after the procedure, compared to beforehand (p = 0.002), despite a marginal decline in comfort (p = 0.04).The model predicted that if occlusion of the inferior vena cava occurred, the sBP, dBP and CO would generally decrease. …”
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circASAP1 induces renal clear cell carcinoma ferroptosis by binding to HNRNPC and thereby regulating GPX4 by Yunfei Wang, Taowei Yang, Qihao Li, Zhousan Zheng, Lican Liao, Junjie Cen, Wei Chen, Junhang Luo, Yi Xu, Mi Zhou, Jiaxing Zhang

“…Conclusions The relationship between circRNA and the ASAP1/HNRNPC/GPX4 axis was demonstrated by experimental data, which was further confirmed by rescue experiments. circASAP1 influenced tumor growth and ferroptosis in animal experiments and predicted the prognosis of patients with ccRCC. The circASAP1/HNRNPC/GPX4 axis provides novel directions and potential targets for RCC treatment.…”
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In silico analysis of the effect of HCV genotype-specific polymorphisms in Core, NS3, NS5A, and NS5B proteins on T-cell epitope processing and presentation by Samina Baig, Samina Baig, Assel Berikkara, Ramsha Khalid, Syed A. Subhan, Tanveer Abbas, Syed Hani Abidi

“…Next, the NetCTL tool was employed to predict Cytotoxic T Lymphocyte (CTL) epitopes based on combined proteasomal cleavage, TAP efficacy, and HLA class I receptor binding scores. …”
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NEWCOMBO PROBLEMA IR AMERIKIETIŠKAS KLAUSIMAS by Zenonas Norkus

“…So the actor's rationality or its absence is the common cause of actor's "bad news, small benefit" choices and of Predictor's predictions who is discriminating against the bright actors (including all causal decision theorists, of course) by providing for them no opportunity to avoid undesirable state. …”
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Traditional and Non-Traditional Risk Factors of Acute Coronary Syndrome in Young Women: Evidence from the ANCORS-YW Study by Ibdah R, Al-Nusair M, Abuhalimeh R, Mahmoud SA, Laswi B, Rawashdeh S, Hamoudeh A, Kheirallah KA

“…Bivariate analyses and logistic regression models were used to predict independent risk factors of ACS using adjusted odds ratios (AOR) and 95% confidence intervals (CI).Results: The study included 572 young women (≤ 50-years) with a median age of 45-years, divided into an ACS group (n=154, 26.9%) and a control group with no atherosclerotic cardiovascular disease (n=418, 73.1%). …”
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