A Convolutional Neural Network–Based Approach for Detecting Solar System Objects in Wide-field Imaging by Aram Lee, J. J. Kavelaars, Hossen Teimoorinia, Wesley Fraser, Edward Ashton

“…By grouping sources based on linear sky motion, we achieved ∼40% detection limit for sources with an SNR ≈ 7 in individual frames. …”
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Parental and Demographic Predictors of Engagement in an mHealth Intervention: Observational Study From the Let’s Grow Trial by Johanna Sandborg, Brittany Reese Markides, Savannah Simmons, Katherine L Downing, Jan M Nicholson, Liliana Orellana, Harriet Koorts, Valerie Carson, Jo Salmon, Kylie D Hesketh

“…The baseline measures included family demographics (main carer, child and family characteristics, and postcode) and parental cognitions and behaviors relevant to the intervention (coping, concern, and information seeking). Linear regression was used to assess associations between baseline and engagement measures. …”
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Levels and predictors of PTSS in young children aged 3–12 years at the hardest-hit area of China during early COVID-19 outbreak by Xiaomei Ren, Ling Yan, Bing Yu, Qin Dai

“…Children reported less avoidance and hyper-arousal symptoms, in sub-population who aged 3–6 years-old, not experiencing negative life-events, not perceiving negative emotions, with unchanged caring from parents, while centralized isolation group reported the highest scores on the hyper-arousal symptom. Hierarchical linear regression analysis revealed that older age, having been quarantined at home, having perceived negative emotions, and having experienced negative life-events, were predictors of both avoidance and hyper-arousal symptoms, while death of family member due to infection, and unchanged or more help from parents were negative predictors of avoidance symptom, and unchanged help and gentleness, more gentleness and respecting from parents were protective predictors of hyper-arousal symptom. …”
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Dietary phytogenic inclusion level affects performance and expression of heat shock, cytoprotective, inflammatory and apoptotic genes in the duodenum and the liver of cyclic heat-c... by Eugenia Iliopoulou, Ioannis Brouklogiannis, Vasileios V. Paraskeuas, Eirini Griela, Evangelos C. Anagnostopoulos, George Kefalas, Konstantinos C. Mountzouris

“…At the molecular level, PB inclusion down-regulated (P < 0.05) most of the heat shock and inflammation-related genes, both in the duodenum and liver, in a linear manner with PB inclusion level. In addition, PΒ cytoprotective capacity was demonstrated via beneficial changes (P < 0.05) seen for the majority of the antioxidant and detoxification-related genes assessed, with the PB1500 displaying most significant differences, compared to CON. …”
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Oral health literacy and oral health-related quality of life among inpatients: the mediating effects of oral health-related self-efficacy: a cross-sectional study by Hang Li, Yu Zhang, Qiying He, Peng Gu, Qin Fu, Dandan Xie

“…T-test and ANOVA were used for inter-group comparison, Pearson correlation analysis was used to explore the relationship among OHL, OHRSE and OHRQoL, and linear regression and Model 4 of Process v4.2 macro program were used to conduct significance test on the mediating effect of OHRSE between inpatients’ OHL and OHRQoL. …”
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PRESOLRE: study protocol for a primary school-based, cluster randomised controlled trial of three sun exposure risk prevention strategies on Reunion Island by Cyril Ferdynus, Léa Bruneau, Antoine Bertolotti, Charline Dugast, Adrian Fianu, Karim Boussaid, Juliette Vuichard, Floreana Duloutre, Jessica Dumez, Nathalie Sultan-Bichat

“…The primary outcome is based on the proportion of correct answers to the knowledge questions after the awareness programme, compared between the four arms using a linear mixed model with random intercept.Ethics and dissemination The study obtained ethics approval in 2022 (ID: 2022-A00350-43). …”
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Prevalence and factors affecting anxiety and depression among adult people with physical disabilities in Saudi Arabia: a cross-sectional study by Khalil A. Saleh, Waled A. M. Ahmed, Habib Alrashedi, Sameer A. Alkubati, Sameer A. Alkubati, Mokhtar Abdu Almoliky, Mokhtar Abdu Almoliky, Gamil Ghaleb Alrubaiee, Gamil Ghaleb Alrubaiee, Talal Ali Hussein Alqalah, Talal Ali Hussein Alqalah, Galal Faisal Albani, Adel Omar Laradhi, Meshal Hadi Altryfy

“…These associations were uncertain in correlation linear regression analysis, since moderate disabilities were significant predictors of anxiety and depression while other factors were not significantly associated.DiscussionThe majority of people with disabilities in Hail, Saudi Arabia complain of borderline to abnormal levels of anxiety compared with one-third of participants in the aspect of depression. …”
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Electrocatalytical Nitrite Oxidation via Manganese and Copper Oxides on Carbon Screen-Printed Electrode by Roberta Farina, Silvia Scalese, Alessandra Alberti, Stefania Maria Serena Privitera, Giuseppe Emanuele Capuano, Domenico Corso, Giuseppe Andrea Screpis, Serena Concetta Rita Reina, Guglielmo Guido Condorelli, Maria Anna Coniglio, Sebania Libertino

“…The resulting sensor exhibits high catalytic activity toward the electrooxidation of NO₂⁻, with a sensitivity of 10.83 μA/µM, a limit of detection (LOD) of 0.071 µM, and a good linear dynamic concentration range (0.2–60 µM). The sensor’s performance was evaluated against potential interfering analytes (NO₃⁻, Cl⁻, NH₄⁺, and NH₂Cl), all of which showed negligible interference. …”
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Relationship between sleep duration, physical activity, and hyperuricemia: a cross-sectional study of college freshmen by Wanhong He, Ao Liu, Minghui He, Yan Wang, Yanli Liu, Ye Fu, Yushuang Luo, Juan Wu, Yihan Gu, Chenyang Zheng, Wenting Liu, Peng Zhu, Pu Chen, Jing Wang

“…The logistic regression, generalized linear model and restricted cubic splines were used to evaluate these associations. …”
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An investigation into sleep, perceived experiences, and exercise performance in elite male cyclists during the Tour de France by Josh Fitton, Bastien Lechat, Amy C. Reynolds, Barbara Toson, Jack Manners, Phuc Nguyen, Kelly A. Loffler, Thomas J. Altree, Peter Catcheside, Danny J. Eckert

“…Associations between, and temporal changes in, primary interest metrics were explored through Pearson correlation and linear mixed models. Participants were (mean ± SD) aged 30 ± 4 years with overall objective sleep duration of 8 h 11mins (±58 min) per night. …”
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Impact of Early Antipsychotic Prescription Choice on Weight Gain in the First 5 Years of Psychotic Illness: a Retrospective Cohort Study by Adrian Heald, George Tilston, John Julian Warner-Levy, Loren Wilkins, Richard Williams, Toby Pillinger, William Deakin, Damien Longson, Lamiece Hassan, Caroline Dalton, Gavin P. Reynolds, Joseph Firth

“…The ‘typical’ agents thioridazine/chlorpromazine/flupenthixol/trifluoperazine/haloperidol were associated with an intermediate likelihood of BMI category change. In multivariate linear regression, factors associated with weight-gain were younger age/female sex(both p < 0.001), number of antipsychotic agents prescribed in 1st year (p < 0.001), plus specific agents aripiprazole (including 75% co-prescription or as 2nd line/3rd line)/olanzapine/thioridazine (p < 0.001), risperidone/quetiapine (p < 0.05). …”
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The Effects of Reclaimed Asphalt Pavement Modification on the Delta T_c Parameter for PG58-XX and PG64-XX Asphalt Binders by Masoud Darabi, Bisher Matalkeh

“…These findings highlight the limitations of conventional linear blending assumptions and underscore the need for improved RAP characterization in binder selection. …”
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Application of machine learning algorithm for prediction of abortion among reproductive age women in Ethiopia by Angwach Abrham Asnake, Alemayehu Kasu Gebrehana, Hiwot Altaye Asebe, Beminate Lemma Seifu, Bezawit Melak Fente, Meklit Melaku Bezie, Mamaru Melkam, Sintayehu Simie Tsega, Yohannes Mekuria Negussie, Zufan Alamrie Asmare

“…Machine learning is more effective and offers a better solution as it can capture complex and non-linear relationships in the data, leading to improved prediction accuracy compared to traditional regression models. …”
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Professional and academic pre-qualifications, career preferences and aspirations in working as a rural doctor by Carla Schröpel, Teresa Festl-Wietek, Anne Herrmann-Werner, Tim Wittenberg, Marina Pumptow, Sabine C. Herpertz, Andrea Heinzmann, Katrin Schüttpelz-Brauns, Tobias Maria Boeckers, Stephan Zipfel, Stephan Zipfel, Rebecca Erschens

“…The strongest association was found between having completed vocational training and interest in Anesthesiology, OR = 3.92 [3.22, 4.76]. A linear mixed model revealed that higher interest in practical-technical (realistic RIASEC type) or social activities (social RIASEC type), and lower interest in intellectual-research activities (investigative RIASEC type) predicted interest in rural practice, whereas pre-qualifications did not contribute significantly to the model.DiscussionThe findings contribute to a better understanding of the career preferences of medical students with pre-qualifications. …”
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Chronic Heart Failure in Early Rheumatoid Arthritis Patients Prior to Basic Antirheumatic Therapy by I. G. Kirillova, D. S. Novikova, T. V. Popkova, H. V. Udachkina, E. I. Markelova, Yu. N. Gorbunova, Yu. O. Korsakova, S. N. Gluchova

“…Independent factors associated with the presence of CHF were identified by linear regression analysis: abdominal obesity, CRP level, systolic blood pressure, dyslipidemia, carotid intima thickness, IHD. …”
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Assessment and quantification of ipsilateral and contralateral ankle joint alignment changes after unilateral total knee arthroplasty for knee osteoarthritis with varus deformity:... by Ahmed A. Khalifa, Amr A. Fadle, Abdelrahman A. Aziz Khalaf, Ahmed M. Abdelaal, Mohamed M. A. Moustafa

“…The preoperative and postoperative HKA and AOFAS on side A showed nonsignificant positive correlations (r = 0.126, p = 0.499 and r = 0.331, p = 0.069, respectively). The linear regression analysis indicated that for every 1° correction in HKA, the AJLO changed by 0.5° (R 2 = 0.241, 95% confidence interval (CI) 0.298–0.747, p < 0.001). …”
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МОДЕЛЬ ПРОГНОЗНОГО ОБЕСПЕЧЕНИЯ НАСЕЛЕНИЯ ОСНОВНЫМИ ВИДАМИ ПРОДОВОЛЬСТВИЯ В СООТВЕТСТВИИ С РАЦИОНАЛЬНЫМИ НОРМАМИ ЕГО ПОТРЕБЛЕНИЯ MODEL FOR PREDICTIVE PURPOSE OF POPULATION BY MAJOR...

“…Providing the population with affordable safe food is becoming increasingly important due to the growing population of the planet, the aggravation of socio-economic relations between states, the increase in the number of environmental problems and the replacement of natural organic food with snacks, products containing artificial components and GMOs, and functional foods.The article discusses the planning of measures taken by the regional authorities to provide the population with basic types of food, the calculation of the needs of which is compiled in accordance with rational norms for the consumption of food products that meet modern requirements for healthy nutrition.On the basis of linear programming, a model of predictive provision of the population with basic types of food products for the period 2018-2020 was compiled. …”
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Improved Sliding Mode Active Disturbance Rejection Control for Single-inductance Dual-output Buck Converter by HUANG Jinfeng, ZHOU Jie

“…Nevertheless, conventional ADRC, being a linear approach, suffers from performance limitations. …”
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Effectiveness of Topic-Based Chatbots on Mental Health Self-Care and Mental Well-Being: Randomized Controlled Trial by Alan C Y Tong, Kent T Y Wong, Wing W T Chung, Winnie W S Mak

“…All outcomes were analyzed using linear mixed models with an intention-to-treat approach, and effect sizes were calculated using Cohen d. …”
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Predictors of Quality of Life in Psoriasis Patients: Insights from a Cross-Sectional Study by Walniczek P, Ponikowska M, Kolarczyk EB, Spaleniak P, Mróz-Kijowska K, Czapla M, Uchmanowicz I

“…The analysis included demographic, clinical, and psychological variables to evaluate their impact on quality of life.Results: The multivariate linear regression model revealed that significant independent predictors of quality of life included age (p=0.001), duration of disease (p=0.004), and nutritional status (p=0.002). …”
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