Exploring proteomic immunoprofiles: common neurological and immunological pathways in multiple sclerosis and type 1 diabetes mellitus by Fátima Cano-Cano, Almudena Lara-Barea, Álvaro Javier Cruz-Gómez, Francisco Martín-Loro, Laura Gómez-Jaramillo, María Carmen González-Montelongo, María Mar Roca-Rodríguez, Lucía Beltrán-Camacho, Lucía Forero, Javier J. González-Rosa, Mª Carmen Durán-Ruiz, Ana I. Arroba, Manuel Aguilar-Diosdado

“…The patients were diagnosed following the American Diabetes Association (ADA) criteria for T1DM and McDonald criteria for MS respectively, and were aged over 18 years and more than 2 years from the onset respectively. …”
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Weighted EHR-based prevalence estimates for hypertension at the state and local levels in Louisiana by Wenjun Li, Meng Zhang, Jie Cheng, Sandra L. Jackson, Adam S. Vaughan, Michael Klompas, Thomas W. Carton, Elizabeth Nauman, Lee Mendoza, Arun Adhikari, Jeanie Donovan, Katherine H. Hohman

“…Hypertension prevalence increased with age and with more clinical visits during the previous 2 years. …”
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The clinical utility of tissue polymerase chain reaction, tissue culture and tissue histology in blood culture-negative infective endocarditis in South Africa – insights from the G... by W Endres, P Mkoko, M Ntsekhe

“…BCNIE patients had a mean (standard deviation) age of 40.2 (13.4) years, and 41 (71.9%) were male. …”
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Risk of SARS-CoV-2 infection before and after the Omicron wave in a cohort of healthcare workers in Ontario, Canada by Jorge L. Martinez-Cajas, Ann Jolly, Yanping Gong, Gerald Evans, Santiago Perez-Patrigeon, Bradley Stoner, T. Hugh Guan, Beatriz Alvarado

“…We employed Poisson regression for period #1 and Cox regression for period #2 to examine associations of demographic factors (age, sex, ethnicity, migration status, income insufficiency), health factors (chronic conditions, smoking history, SARS-CoV-2 vaccination status), household factors (exposure to COVID-19), occupational factors (work role, exposure to COVID-19 patients, personal protective equipment access, aerosol-generating procedures) and community exposures (use of masks, distance, hand-washing) with SARS-CoV-2 infection. …”
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Associated adverse outcomes with tumor treating fields when combined to temozolomide versus temozolomide alone for the treatment of glioblastoma: a meta-analysis of randomized tria... by Yuanyuan Chen, Yan Chen, Hong Zhen, Danhua Lou

“…The majority of the participants were males (68.0–75.0%) with a mean age of the varying from 54.0 to 69.0 years. Results of this analysis showed that TTF in combination with temozolomide was not associated with significantly higher adverse outcomes related to blood and lymphatic system disorders (RR:0.87, 95% CI 0.30–2.48; P = 0.79), gastrointestinal disorders (RR: 0.83, 95% CI 0.14–4.72; P = 0.83), general deterioration and malaise (RR: 1.43, 95% CI 0.90–2.25; P = 0.13), infections and infestations (RR: 1.21, 95% CI 0.33–4.45; P = 0.78), injury/poison and procedural complications (RR: 1.78, 95% CI 0.88–3.61; P = 0.11), metabolic and nutritional disorders (RR: 0.61, 95% CI 0.34–1.08; P = 0.09), central nervous system disorders (RR: 1.14, 95% CI 0.89–1.46; P = 0.31), musculoskeletal and connective tissue disorders (RR: 0.99, 95% CI 0.48–2.07; P = 0.99), respiratory/thoracic/mediastinal disorders (RR: 0.85, 95% CI 0.44–1.62; P = 0.62), and psychiatric disorders (RR: 1.27, 95% CI 0.42–3.79; P = 0.67). …”
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Analisis Faktor-Faktor Penentu Kepuasan Pengguna Layanan Paylater Dengan Pendekatan Regresi Linier by Kastaman, Siska Komala Sari, Tora Fahrudin, Heru Nugroho

“…The research method used is qualitative by means of a survey of 280 students with an average age group of 15-20 years, while the factors studied after conducting a literature study to find the strength of the relationship between the five independent variables: study program, gender, monthly income, monthly expenses, and awareness of paylater to the dependent variable, namely customer satisfaction with paylater services, were analysed using multiple linear regression. …”
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Evaluating the Efficacy of a Serious Game to Deliver Health Education About Invasive Meningococcal Disease: Clustered Randomized Controlled Equivalence Trial by Lauren Bloomfield, Julie Boston, Martin Masek, Lesley Andrew, Donna Barwood, Amanda Devine

“…ObjectiveThis study aims to develop a serious game that can replace a face-to-face educator in a classroom setting to educate adolescents aged 12 years to 15 years. This study evaluates the efficacy of the Meningococcal Immunisation Awareness, Prevention and Protection app (MIApp), a serious game designed to replicate the information provided in a 30-minute face-to-face presentation provided by a trained educator. …”
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Komparasi Data Mining Naive Bayes dan Neural Network memprediksi Masa Studi Mahasiswa S1 by Azahari Azahari, Yulindawati Yulindawati, Dewi Rosita, Syamsuddin Mallala

“…The attributes used are as follows: age at admission, classification of cities from high school, father’s occupation, study program, class, number of siblings, and grade point average (GPA). …”
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Service Innovation in Customer Value Co-Creation: The Mediating Role of Customer Engagement in the Hospitality Industry – A Case Study by Meysam Fakharyan, Ali Hosseinzadeh, Hadi Bastam

“…FindingsThe descriptive findings revealed that most participants were in the age range of 20 to 29 years (46.5%), followed by 30-39 years old (21%), <20 years old (14.5%), 40-49 years old (9%), and >50 years old (9%). …”
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Efficacy of Functional Endoscopic Sinus Surgery and Impact of Chronic Lung Disease on its Outcome in Patients of Chronic Rhinosinusitis by Minakshmi Karmakar, V D Prasanna Kumar Vasamsetty, Bonapart Chowdhury

“…Results were analyzed using SPSS software. Result The mean age of this study population was 35.60 years with M: F ratio 1.27:1. …”
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Characterization of adult T-cell leukemia/lymphoma patients with specific skin lesions in a tertiary dermatological service in Brazil by Mariana Valente, José Antonio Sanches, Youko Nukui, Jade Cury-Martins, Bruno Castro Souza, Juliana Pereira, Denis Miyashiro

“…Survival curves using the Kaplan–Meier method were analyzed with log-rank test, univariate and multivariate analyses were performed with the Cox proportional hazards model.ResultsForty-four patients were studied, 24 females (54.5%), and 20 males (45.5%). The median age at diagnosis was 59.4 years. Classification at diagnosis was: 16 (36.4%) chronic (93.7% unfavorable, 6.2% favorable), 14 (31.8%) acute, 10 (22.7%) smoldering, four (9.1%) lymphoma, and none with primary cutaneous tumoral. …”
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Intranasal Testing and Treatment for Staphylococcus aureus With Intravenous Vancomycin and Intranasal Povidone-iodine Prior to Posterior Spinal Fusion: A Retrospective Cohort Study... by Jason Malone, DO, Alex Lee-Norris, DO, Austin Wynn, MD, Kaitlin Maher, PA-C, John Lovejoy, III, MD, Ryan Illgenfritz, MD, Margaret Baldwin, MD, Adriana Cadilla, MD, Kathryn Farrell, MSN, Emily Craver, MS

“…Methods: This is a retrospective cohort study of children 8 to 18 years of age who underwent posterior spinal fusion from 2018 to 2020 at two standalone academic pediatric hospitals. …”
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Inequalities in total fertility rate in Sierra Leone, 2008–2019 by Augustus Osborne, Umaru Sesay, Mohamed S. Bah, Camilla Bangura, Bright Opoku Ahinkorah

“…Abstract Background Total fertility rate measures the average number of children a woman is expected to have during her reproductive age (typically 15-49 years). Despite the national decline in Sierra Leone, significant disparities in total fertility rates persist across socioeconomic and geographic lines. …”
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Differential management and associations of dyslipidaemia and hypertension by glycaemic status in urban South Africans by N Peer, L Kotzé-Hörstmann, J Hill, A-P Kengne

“…Among 618 participants (82% women), aged median 58 years, there were 339 participants with KD, 70 with NDD and 209 with normoglycaemia. …”
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Perbandingan Kinerja Inception- Resnetv2, Xception, Inception-v3, dan Resnet50 pada Gambar Bentuk Wajah by Fitriana Masruroh, Bayu Surarso, Budi Warsito

“…Identification of face shape is a challenging task due to the complexity of the face, size, lighting, age and expression. Many methods have been developed to provide the best accuracy results in the classification of face shapes. …”
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Machine learning for predicting severe dengue in Puerto Rico by Zachary J. Madewell, Dania M. Rodriguez, Maile B. Thayer, Vanessa Rivera-Amill, Gabriela Paz-Bailey, Laura E. Adams, Joshua M. Wong

“…Feature importance analysis identified hemoconcentration (≥ 20% increase during illness or ≥ 20% above baseline for age and sex), leukopenia (white blood cell count < 4000/mm3), and timing of presentation at 4–6 days post-symptom onset as key predictors. …”
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Eating difficulties among Nigerian community-dwelling stroke survivors: prevalence, correlates, and association with quality of life by Adekola B. Ademoyegun, Adebukola G. Ibitoye, Wasiu A. Rasaq, Oluwafunmilayo A. Adeniyi, David O. Fabuluje, Israel A. Ojo, Taofeek O. Awotidebe, Chidozie E. Mbada

“…Methods A cross-sectional study on 233 (Mean age: 59.6 ± 10.9 years; 52.8% female) Nigerian community-dwelling stroke survivors attending rehabilitation at three public hospitals was conducted. …”
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Smartphone-Based Intervention Targeting Norms and Risk Perception Among University Students with Unhealthy Alcohol Use: Secondary Mediation Analysis of a Randomized Controlled Tria... by Joseph Studer, John A Cunningham, Elodie Schmutz, Jacques Gaume, Angéline Adam, Jean-Bernard Daeppen, Nicolas Bertholet

“…MethodsA total of 1770 students from 4 higher education institutions in Switzerland (mean age 22.35, SD 3.07 years) who screened positive for unhealthy alcohol use were randomized to receive access to a smartphone app or to the no-intervention control condition. …”
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