Agricultural Innovation Characteristics and Their Utilisation: A Case of National Agricultural Research Organization by Barekye, Alex

“…In addition, regression results indicated that innovation characteristics such as relative xii advantage, compatibility, triability and, other variables such as gender, age, education had a significant effect (p<0.05) on innovation utilization by farming communities. …”
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Principles of effective out-patient diagnostics of diffuse liver diseases by Komova A. G., M. V. Mayevskaya, V. T. Ivashkin

“…Risk factors for diseases, defined by one-way ANOVA test, were: male gender (p&lt;0,001), excessive body weight and obesity (body mass index &gt;25 kg/m2 (p&lt;0,001)), hyperglycemia (p&lt;0,001), hypertriglyceridemia (p&lt;0,001). …”
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Rotation errors in path integration are associated with Alzheimer’s disease tau pathology: a cross-sectional study by Lise Colmant, Lisa Quenon, Lara Huyghe, Adrian Ivanoiu, Thomas Gérard, Renaud Lhommel, Pauline Coppens, Yasmine Salman, Vincent Malotaux, Laurence Dricot, Lukas Kunz, Nikolai Axmacher, Philippe Lefèvre, Bernard Hanseeuw

“…We fitted linear mixed models to predict the path integration performances according to amyloid status or tau pathology in the medial temporal lobal, adjusting for age, gender, cognitive status, education, and video game experience. …”
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Gastrointestinal Symptoms in Marfan Syndrome and Hypermobile Ehlers-Danlos Syndrome by N. Inayet, J. O. Hayat, A. Kaul, M. Tome, A. Child, A. Poullis

“…The same questionnaires were also completed by age- and gender-matched controls attending fracture clinic without existing diagnoses of MS or hEDS. …”
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Role of Cannabis in the Management of Chronic Non-Cancer Pain: A Narrative Review by Lou’i Al-Husinat, Shrouq Obeidat, Saif Azzam, Yara Al-Gwairy, Fatima Obeidat, Sarah Al Sharie, Deema Haddad, Fadi Haddad, Martina Rekatsina, Matteo Luigi Giuseppe Leoni, Giustino Varrassi

“…Adverse effects vary by gender and prior use, with addiction mainly linked to THC and influenced by genetics. …”
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Inflammatory Markers and Obstructive Sleep Apnea in Obese Children: The NANOS Study by Alex Gileles-Hillel, María Luz Alonso-Álvarez, Leila Kheirandish-Gozal, Eduard Peris, José Aurelio Cordero-Guevara, Joaquin Terán-Santos, Mónica Gonzalez Martinez, María José Jurado-Luque, Jaime Corral-Peñafiel, Joaquin Duran-Cantolla, David Gozal

“…Results. 204 children were enrolled in the study; 75 had OSA, defined by an obstructive respiratory disturbance index (RDI) of 3 events/hour total sleep time (TST). BMI, gender, and age were similar in OSA and no-OSA children. …”
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Reference Intervals (RIs) of the Bone Turnover Markers (BTMs) in Children and Adolescents: A Proposal for Effective Use by Vincenzo Brescia, Roberto Lovero, Antonietta Fontana, Roberta Zerlotin, Silvia Concetta Colucci, Maria Grano, Angela Pia Cazzolla, Francesca Di Serio, Vito Crincoli, Maria Felicia Faienza

“…Discussion and Conclusions: Concentrations for biomarker studied vary with age and gender. The proof of concentrations with insignificant changes until puberty led to identification of two groups of RI relating to the covariables (age and sex) for each biomarker.…”
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The role of educational institutions in transformations to achieve sustainable development by Olha Kurylo, Olena Kryvylova, Viktoriia Zhyhir, Valentyna Peregudova, Yuliia Bielova-Oleynik, Serhii Onyshchenko, Olena Revutska

“…Special attention is given to such sustainable development goals as quality education (SDG 4), gender equality (SDG 5), sustainable cities and communities (SDG 11), peace and justice (SDG 16), and partnerships for the goals (SDG 17). …”
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Loss of LLGL1 Expression Correlates with Diffuse Gastric Cancer and Distant Peritoneal Metastases by Alexander Desuki, Frank Staib, Ines Gockel, Markus Moehler, Hauke Lang, Stefan Biesterfeld, Annett Maderer, Peter R. Galle, Martin R. Berger, Carl C. Schimanski

“…Loss of LLGL1 expression was associated with the diffuse type of gastric cancer (P=0.029) with peritoneal carcinomatosis (M1; P=0.006) and with female gender (P=0.017). Stable reexpression of LLGL1 in SNU16 cells significantly increased both plastic surface adhesion and extracellular matrix proteins laminin and fibronectin, but had no impact on in vitro proliferation, apoptosis, or invasion or on in vivo proliferation or differentiation in our xenograft bioassay. …”
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Interaction effect between overweight/obesity and alcohol consumption on hypertension risk in China: a longitudinal study by Xiaoqin Wang, Zhaozhao Hui, Jiaru Sun, Paul D Terry, Xiaohan Ren, Shuangyan Lei, Caihua Wang, Mingxu Wang

“…After adjusting for age, gender, education level, marital status, physical activity, diabetes and smoking, high body mass index (BMI) and light drinking (OR=5.07, 95% CI 3.06 to 8.41), high waist circumference (WC) and light drinking (OR=4.81, 95% CI 2.92 to 7.91), high waist hip ratio and light drinking (OR=2.85, 95% CI 1.84 to 4.42) were the highest risk of all participants in the three combinations. …”
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Inverse relationship of oxidative balance score with hyperuricemia among Chinese adults: a population-based cross-sectional study by Hewei Peng, Ying Han, Jingru Huang, Wenxin Qiu, Huajing Chang, Jiangwang Fang, Xian-E Peng

“…There were significant interactions between OBS and gender, hypertension, and dyslipidemia on hyperuricemia (P interaction < 0.05), except for age, education, and diabetes (P interaction > 0.05). …”
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Parental Technoference and Child Problematic Media Use: Meta-Analysis by Jinghui Zhang, Qing Zhang, Bowen Xiao, Yuxuan Cao, Yu Chen, Yan Li

“…Specifically, the association was stronger when both parents engaged in technoference compared to when only 1 parent did, and in cross-sectional studies compared to longitudinal studies. Age, gender, publication status, and type of problematic media use did not significantly moderate the relationship (all P>.05). …”
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Occupational adjustments and work ability of young adult cancer survivors: results from the AYA-Leipzig study by Hannah Brock, Katharina Schröter, Michael Friedrich, Annekathrin Sender, Diana Richter, Anja Mehnert-Theuerkauf, Kristina Geue, Katja Leuteritz

“…The probability of a reduction in working hours was found to be higher among older AYA-CS (≥ 30), female gender and with a fatigue index ≥ 11 (R2 = 0.073). …”
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Systematic review and meta-analysis on the prevalence and risk factors of oral frailty among older adults by Pingping Huang, Linjing Wu, Rongxiang Zhang, Rongxiang Zhang, Shiqi Chen, Shiqi Chen, Yu Zhang, Yuan Chen, Yuan Chen

“…Factors such as age, gender, physical frailty, pre-frailty, and unattached were identified as key risk factors for oral frailty in older adults (all p &lt; 0.05).ConclusionThe incidence of oral frailty among older adults is notably high and influenced by a variety of factors. …”
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Protective factors for suicidal ideation and suicide attempts in adolescence: a longitudinal population-based cohort study examining sex differences by Victoria Bakken, Stian Lydersen, Norbert Skokauskas, Anne Mari Sund, Jannike Kaasbøll

“…Future research should explore additional protective factors across sex and gender groups.…”
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Relationship of Serum Uric Acid Level with Demographic Features, Risk Factors, Severity, Prognosis, Serum Levels of Vitamin D, Calcium, and Magnesium in Stroke by Payam Saadat, Alijan Ahmadi Ahangar, Mansor Babaei, Mandana Kalantar, Mohammad Ali Bayani, Hiva Barzegar, Hemmat Gholinia, Farbod Zahedi Tajrishi, Sekineh Faraji, Fatemeh Frajzadeh

“…There was no significant difference in SUA levels in different types of stroke in both genders. Diabetic ischemic embolic patients had higher levels of SUA than diabetic ischemic thrombotic cases. …”
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Impact of HIF-1α, LOX and ITGA5 Synergistic Interaction in the Tumor Microenvironment on Colorectal Cancer Prognosis by Hayriye Tatlı Doğan, Mehmet Doğan, Seda Kahraman, Doğukan Çanakçı, Mehmet Ali Nahit Şendur, Mustafa Tahtacı, Fazlı Erdoğan

“…Stage IV patients with the moderate to strong expression of HIF-1α, ITGA5 or LOX in the microenvironment had lower progression-free survival than those with weak expression (<i>p</i> < 0.05). In addition, female gender; moderate to strong HIF-1α, LOX and ITGA5 stromal expression; and metastatic first line chemotherapy only were found to be independently associated with an increased risk of progression. …”
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Actors influencing cancer-related fatigue and the construction of a risk prediction model in lung cancer patients by Mei-Ning Zhang, Yi-Chen Zhou, Zhu Zeng, Cun-Liang Zeng, Bo-Tao Hou, Gui-Rong Wu, Qiao Jiao, Dai-Yuan Ma

“…A CRF risk prediction model was then established, with its predictive performance and calibration evaluated using ROC curves.FindingsThe results of multivariate logistic regression analysis showed that gender, age, education level, living status, daily exercise, clinical stage, course of disease, treatment mode, chronic disease, BMI, hemoglobin, serum albumin, blood glucose, potassium concentration, magnesium concentration, PSQI score and HAD score were the influencing factors of CRF in lung cancer patients (P&lt;0.05). …”
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Analisis Kinerja Algoritma CART dan Naive Bayes Berbasis Particle Swarm Optimization (PSO) untuk Klasifikasi Kelayakan Kredit Koperasi by Eko Arif Riyanto, Tri Juninisvianty, Doddy Ferdian Nasution, Risnandar Risnandar

“…From the calculation reference to the criteria of occupation, income, age, gender, loan amount, loan term, will get the best method for this study. …”
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Mortality trends of traumatic brain injuries in the adult population of the United States: a CDC WONDER analysis from 1999 to 2020 by Muhammad Hamza Dawood, Yusra Fazli, Sejal Lund, Shurjeel Uddin Qazi, Rija Tahir, Areehah Zafar Masood, Aiman Azam Qureshi, Saleha Safdar, Heraa Zaheer, Muhammad TayyabMuzaffar Chaychi

“…Age-adjusted mortality rates (AAMRs) per 100,000 individuals and annual percent change (APC) were computed and stratified based on year, gender, race/ethnicity, and geographic region. Results Between 1999 and 2020, 1,026,185 TBI-related deaths occurred among adults aged ≥ 25 years. …”
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