Lncident: A Tool for Rapid Identification of Long Noncoding RNAs Utilizing Sequence Intrinsic Composition and Open Reading Frame Information by Siyu Han, Yanchun Liang, Ying Li, Wei Du

“…Lncident presents an outstanding performance on microorganism, which offers a great application prospect to the analysis of microorganism. In addition, Lncident can be trained by users’ own collected data. …”
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Renal Disease in Cats and Dogs—Lessons Learned from Text-Mined Trends in Humans by Christos Dadousis, Anthony D. Whetton, Kennedy Mwacalimba, Alexandre Merlo, Andrea Wright, Nophar Geifman

“…Applying a quantitative text-mining technique, we examined data on clinical signs, diseases, clinical and lab methods, cell types, cytokine, and tissue associations (co-occurrences) captured in PubMed biomedical literature. …”
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Reconstruction of the yeast Snf1 kinase regulatory network reveals its role as a global energy regulator by Renata Usaite, Michael C Jewett, Ana Paula Oliveira, John R Yates, Lisbeth Olsson, Jens Nielsen

“…To map the complete network of interactions around AMPK in yeast (Snf1) and to evaluate the role of its regulatory subunit Snf4, we measured global mRNA, protein and metabolite levels in wild type, Δsnf1, Δsnf4, and Δsnf1Δsnf4 knockout strains. Using four newly developed computational tools, including novel DOGMA sub‐network analysis, we showed the benefits of three‐level ome‐data integration to uncover the global Snf1 kinase role in yeast. …”
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Is the theory of self-regulation of the epidemic process acceptable for the new coronavirus infection COVID-19? by A. E. Bilev, N. A. Bileva, L. V. Chupakhina, T. V. Vandysheva, M. A. Ariskina

“…Elements of classical epidemiological analysis were used as research tools, for calculations we used Excel, Statgraphics plus for Windows programs.Results. …”
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Outcome Determinants of Stroke in a Brazilian Primary Stroke Center by Gustavo W. Kuster, Lívia A. Dutra, Israel P. Brasil, Evelyn P. Pacheco, Márcio A. C. Arruda, Cristiane Volcov, Renan B. Domingues

“…We evaluated demographic, clinical, and outcome data of patients with ischemic stroke (IS), transient ischemic attack (TIA), and intracerebral hemorrhage (ICH) admitted at “Hospital Paulistano,” São Paulo, Brazil. …”
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Efficient Behavior Factor Estimation in Moment-Resisting Reinforced Concrete Frames through Gene Expression Programming by Niloufar Azhdari, Seyed Shaker Hashemi, Saeid Javidi, Abdorreza Fazeli

“…The performance of the developed models was evaluated using statistical indicators, and the best model was determined. …”
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Stacking Ensemble Learning and SHAP-Based Insights for Urban Air Quality Forecasting: Evidence from Shenyang and Global Implications by Zhaoxin Xu, Huajian Zhang, Andong Zhai, Chunyu Kong, Jinping Zhang

“…This study focuses on Shenyang, China, as a representative case to analyze air quality dynamics and develop a high-precision forecasting tool. Using a comprehensive six-year dataset (2020–2025) of daily air quality and meteorological measurements, a rigorous preprocessing pipeline was applied to ensure data integrity. …”
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A Hybrid Spatiotemporal Deep Learning Model for Short-Term Metro Passenger Flow Prediction by Hao Zhang, Jie He, Jie Bao, Qiong Hong, Xiaomeng Shi

“…The metro passenger flow data is collected from line 2 of Nanjing metro system to illustrate the study procedure. …”
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Flexible Visible Spectral Sensing for Chilling Injuries in Mango Storage by Longgang Ma, Zhengzhong Wan, Zhencan Yang, Xunjun Chen, Ruihua Zhang, Maoyuan Yin, Xinqing Xiao

“…The system is structured based on a perception-analysis-warning-processing framework, utilizing laser-induced graphene electroplated copper integrated with laser etching technology for hardware fabrication, and developing corresponding data acquisition and processing functionalities. …”
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Integrating Climate Change Education into Secondary School English Lessons: A Project-Based Approach Using Trade Books by Masitoh Masitoh, Sary Silvhiany, Rita Inderawati

“…A total of 52 ninth-grade students, selected through purposive sampling, participated in the study. Data were collected through surveys and in-depth interviews conducted before and after the intervention. …”
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Precision measurement for effective pollution mitigation by evaluating air quality monitoring systems in linguistic Pythagorean fuzzy dombi environment by Hanan Alolaiyan, Umme Kalsoom, Umer Shuaib, Abdul Razaq, Abdul Wakil Baidar, Qin Xin

“…Additionally, we present a thorough comparative analysis to demonstrate the effectiveness of the proposed methodology relative to conventional techniques.…”
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Research on on-site real-time detection technology of transmission line pulling force based on sensors by Yang Shibiao, Zhong Yu, Huang Lei, Yuan Xing

“…Firstly, select a suitable sensor for measuring the pulling force. Then, the sensor data is transmitted to the computer system for real-time processing and analysis. …”
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Profiling the bacterial microbiome diversity and assessing the potential to detect antimicrobial resistance bacteria in wastewater in Kimberley, South Africa by Ross D. Stewart, Abimbola E. Oluwalana-Sanusi, Wisdom A Munzeiwa, Luvo Magoswana, Nhamo Chaukura

“…The majority of reads from the combined bacterial data fall within the class Gammaproteobacteria, which is known to adversely impact ecological and human health. …”
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Preparation and evaluation of a multimedia oral health education software for teenagers by Maryam Bakhtiar, Seyed Mohammad Hosseini, Arghavan Behbahanirad, Amirhossein Kamyab, Ali Khani Jeihooni

“…The users were given access to the program before and after using the software, and its efficacy was assessed from their perspective using questionnaires. The data analysis was performed using descriptive statistics indices and analytical tests, SPSS version 26. …”
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Personalized prediction of psoriasis relapse post-biologic discontinuation: a machine learning-driven population cohort study by Shan Huang, Yanping Bai, Ruozhou Qi, Hongda Yu, Xingwu Duan

“…Both internal and external evaluations indicate that the model exhibits good predictive accuracy.Conclusion A multivariate model leveraging standard clinical data can relatively accurately predict the risk of psoriasis relapse post-biologic discontinuation, guiding personalized treatment strategies.…”
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Internal Initiative vs External Pressure: Evidence from Halal Standard Adoption in Indonesian Food Small and Medium Industries (SMIs) by Nilda Tri Putri, Meuthia Meuthia, Ikhsan Rapi Saputra, Rini Rahmahdian S, Iwan Vanany, Norhayati Zakuan

“…The study employed Structural Equation Modeling-Partial Least Square (SEM-PLS) as a data analysis technique. Results demonstrated that external pressure from government regulations and organizational commitment as part of internal initiatives significantly affected HFS adoption, whereas the latter had a stronger effect. …”
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Piloting a PREMs and PROMs longitudinal survey on the integration of healthcare services for patients living with hepatitis C in Tuscany region: study protocol by Lara Tavoschi, Milena Vainieri, Ilaria Corazza, Giaele Moretti, Luca Ceccarelli

“…This protocol outlines the methodology to implement a longitudinal survey in Tuscany, Italy, to systematically gather patient-reported outcome measures (PROMs) and patient-reported experience measures (PREMs) for patients with HCV, with a focus on the integration of primary and hospital care.Methods and analysis We designed and developed a longitudinal survey to collect HCV PREMs and PROMs. …”
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PATIENTS WITH ALLERGIES – PREOPERATIVE PREPARATION AND PREMEDICATION by Gergana Ivanova, Margarita Atanasova

“…Patients had histories of allergies, and hypersensitivity was monitored intraoperatively and postoperatively. Data were analyzed using various statistical methods to assess the impact of corticosteroid use and prick tests. …”

HOTAIR, a ferroptosis-related gene, promotes malignant behavior of breast cancer via sponging miR-206 by Wei Wu, Zhihan Yao, Yongxing Chen, Rongxuan Xu, Chenxin Jin, Xiaofeng Li

“…Given the established correlation between HOTAIR silencing and ferroptosis in BRCA, our data suggest that pharmacological induction of ferroptosis represents a promising therapeutic paradigm for this molecular subset. …”
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Precise Identification of <i>Vitis vinifera</i> L. Varieties Using Cost-Effective NGS-Based SNP Genotyping by Konstantinos Tegopoulos, Sonia-Vasiliki Polychronidou, Anastasia Voumvouraki, Petros Kolovos, George Skavdis, Maria Ε. Grigoriou

“…In this study, we developed, validated and applied an NGS-based SNP genotyping protocol for the molecular identification of <i>Vitis vinifera</i> varieties, demonstrating a reliable and efficient approach for distinguishing grapevine cultivars. …”
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