Predicting egg production rate and egg weight of broiler breeders based on machine learning and Shapley additive explanations by Hengyi Ji, Yidan Xu, Ganghui Teng

“…The key features for predicting egg production rate are age, feed intake and effective temperature (ET). …”
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Faktor-Faktor yang Berhubungan dengan Kejadian Pre Eklampsi pada Kehamilan di RSUD Embung Fatimah Kota Batam Tahun 2012 by Dessy Hasmawati

“…There are corelatation maternal age, parity, and the incidence of comorbidities with pre eclampsia. …”
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Ethnoracial disparities in childhood growth trajectories in Brazil: a longitudinal nationwide study of four million children by Helena Benes Matos da Silva, Rita de Cássia Ribeiro-Silva, Juliana Freitas de Mello e Silva, Irina Chis Ster, Poliana Rebouças, Emanuelle Goes, Maria Yury Ichihara, Andrêa Ferreira, Julia M. Pescarini, Rosemeire Leovigildo Fiaccone, Enny S. Paixão, Maurício L. Barreto

“…Nonlinear mixed effect models were used to estimate childhood growth trajectories, among different maternal ethnoracial groups (White, Asian descent, Black, Pardo, and Indigenous), using the raw measures of weight (kg) and height (cm) and the length/height-for-age (L/HAZ) and weight-for-age z-scores (WAZ). The analyses were also adjusted for mother’s age, educational level, and marital status. …”
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Financial crisis and its association with parental stress and children’s mental health in Lebanon by Ramona Nasr, Samantha Abi Saab, Nada Nasr, Chadia Haddad, Eman Swaidan, Sara Abou Ibrahim, Joanne Karam

“…Multivariable analysis showed that higher PSC scores, age, complementary education, and Lebanese nationality were associated with increased parental stress, while unemployment, lower age, and higher IFDFW were associated with reduced stress. …”
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Observational study: effect of varying transport durations and feed withdrawal on the physiological status and health of dairy calves by Luca L. van Dijk, Susanne Siegmann, Niamh L. Field, Katie Sugrue, Cornelis G. van Reenen, Eddie A. M. Bokkers, Muireann Conneely, Gearoid Sayers

“…This observational study aimed to determine how transport and fasting durations impacted the physiology and health of 115 transported calves in three transport groups; IRE (n = 20, mean age 29.8d; short road transport (~ 29 h incl. resting time) and short feed deprivation (~ 11 h)), INT (n = 65, mean age 24.9d; long road/ferry transport (~ 79 h incl. resting times) and long feed deprivation (~ 28 h and 25 h)), and NLD (n = 30, mean age 17.7d; short road transport (~ 28 h incl. resting time) and long feed deprivation (> 18 h)). …”
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Conditional cash transfer program and child mortality: A cross-sectional analysis nested within the 100 Million Brazilian Cohort. by Dandara Ramos, Nívea B da Silva, Maria Yury Ichihara, Rosemeire L Fiaccone, Daniela Almeida, Samila Sena, Poliana Rebouças, Elzo Pereira Pinto Júnior, Enny S Paixão, Sanni Ali, Laura C Rodrigues, Maurício L Barreto

“…We examined the association between being a BFP beneficiary and child mortality (1-4 years of age), also examining how this association differs by maternal race/skin color, gestational age at birth (term versus preterm), municipality income level, and index of quality of BFP management.…”
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Clinical Profile and Outcome in Patients with Coronary Slow Flow Phenomenon by Xiaogang Zhu, Hua Shen, Fei Gao, Sijing Wu, Qian Ma, Shuo Jia, Ziwei Zhao, Shan Tong, Zhihao Zhang, Yujie Zhou

“…CSFP affects predominantly patients at middle age and above but can occur in any age group; CSFP should be more concerned, particularly in patients >50 years old with hypertension and dyslipidemia.…”
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Prevalence, Pattern and Factors Associated with Developmental Delay amongst Under-5 Children in Nigeria: Evidence from Multiple Indicator Cluster Survey 2011–2017 by Olayide Olubunmi Olabumuyi, Obioma Chukwudi Uchendu, Pauline Aruoture Green

“…Background: Children develop dynamically, and when a child fails to reach age-appropriate developmental milestones compared to their peers, it is considered a developmental delay. …”
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Fatal poisonings in Nordic countries in 2022 among people who use drugs by Pirkko Kriikku, Hilde Marie E. Edvardsen, Gunilla Thelander, Svava Thordardottir, Charlotte Uggerhøj Andersen, Ilkka Ojanperä, Anna K. Jönsson, Joachim Frost, Simon Kjær Hermansen, Gerd J.M. Delaveris, Kirsten Wiese Simonsen

“…Most deaths occurred among men, with women accounting for 16–23 %. The median age at the time of death among PWUD was 40–43 years in Denmark, Norway and Sweden, while it was about ten years younger in Finland and Iceland (median age 33 years). …”
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COVID-19 morbidity in Afghanistan: a nationwide, population-based seroepidemiological study by Siyu Chen, Fatima Arifi, Mohammad Nadir Sahak, Sayed Ataullah Saeedzai, Lisa J White, Amal Barakat, Eman Abdelkreem Aly, Margo van Gurp, Giti Azim, Bahara Rasoly, Soraya Safi, Jennifer A Flegg, Nasar Ahmed, Mohmmad Jamaluddin Ahadi, Niaz M Achakzai, Alaa AbouZeid

“…Objective The primary objectives were to determine the magnitude of COVID-19 infections in the general population and age-specific cumulative incidence, as determined by seropositivity and clinical symptoms of COVID-19, and to determine the magnitude of asymptomatic or subclinical infections.Design, setting and participants We describe a population-based, cross-sectional, age-stratified seroepidemiological study conducted throughout Afghanistan during June/July 2020. …”
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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

“…ResultsThe study included 34 patients with MI (mean age 57.65, SD 9.03 years) and 17 age- and gender-matched controls. …”
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Therapeutic Inhibition of Cathepsin S Reduces Inflammation and Mucus Plugging in Adult βENaC-Tg Mice by Ryan Brown, Donna M. Small, Declan F. Doherty, Leslie Holsinger, Robert Booth, Richard Williams, Rebecca J. Ingram, J. Stuart Elborn, Marcus A. Mall, Clifford C. Taggart, Sinéad Weldon

“…Methods. βENaC-Tg mice and wild-type (WT) littermates were treated with a CatS inhibitor from 4 to 6 weeks of age, and CatS-/-βENaC-Tg mice were analysed at 6 weeks of age. …”
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Leveraging Comprehensive Echo Data to Power Artificial Intelligence Models for Handheld Cardiac Ultrasound by D.M. Anisuzzaman, PhD, Jeffrey G. Malins, PhD, John I. Jackson, PhD, Eunjung Lee, PhD, Jwan A. Naser, MBBS, Behrouz Rostami, PhD, Grace Greason, BA, Jared G. Bird, MD, Paul A. Friedman, MD, Jae K. Oh, MD, Patricia A. Pellikka, MD, Jeremy J. Thaden, MD, Francisco Lopez-Jimenez, MD, MSc, MBA, Zachi I. Attia, PhD, Sorin V. Pislaru, MD, PhD, Garvan C. Kane, MD, PhD

“…Objective: To develop a fully end-to-end deep learning framework capable of estimating left ventricular ejection fraction (LVEF), estimating patient age, and classifying patient sex from echocardiographic videos, including videos collected using handheld cardiac ultrasound (HCU). …”
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Smoking relapse reasons among current smokers with previous cessation experience in Shanghai: A cross-sectional study by Ruiping Wang*, Lingzi Shenfan*, Yu Song*, Qingliang Wang*, Rui Zhang, Le Kuai, Bin Li

“…Logistic regression indicated that smokers aged ≥45 years had a longer cessation duration (adjusted odds ratio, AOR=3.10; 95% CI: 1.97– 4.88). …”
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The Relationship Between Serum 25 hydroxy Vitamin D Deficiency and Dietary Pattern in Baxshin Hospital, Sulaimani City by Mohammed I M Gubari, Jeza Muhamad Abdul Aziz, Fadhil Ahmed Mohialdeen, Khalid Anwar Hama-Ghareeb, Bakhtyar Kamal Muhamed, Hemn Abdalla Omer

“…Two questionnaires were used for collecting of data, the first one was included demographical data of the participants. Including their age, gender, marital status, educational level, address, and etc. …”
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Antibody Responses to mRNA COVID-19 Vaccine Among Healthcare Workers in Outpatient Clinics in Japan by Teruhime Otoguro, Keita Wagatsuma, Toshiharu Hino, The Society of Ambulatory and General Pediatrics of Japan, Yusuke Ichikawa, Tri Bayu Purnama, Yuyang Sun, Jiaming Li, Irina Chon, Hisami Watanabe, Reiko Saito

“…Univariate and regression analysis evaluated factors such as past infections, age, sex, smoking, underlying condition, and occupation. …”
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Delayed completion of pneumococcal conjugate vaccination among children 4–48 months in rural Uganda: a socio-demographic inquiry by Herbert Malemo, Andrew Tamale, Paul Kakwangire, Matthew C. Igwe, Dickens R. Mwine, Isa Asiimwe, Solomon A. Mbina, Mary G. Abalinda

“…Of the 362 children, majority (53.87%) were boys. Child mean age was 25.1 ± 14.3 months. 87.6% caretakers were females and majorities of them were aged 20–29yrs (47.8%), peasant farmers (79.8%), married (90.6%), attained primary education (63.5%) and earned average monthly income of UGX 10,000 – UGX 50,000 (41.4%). …”
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Baseline 18F-FDG PET/CT parameters in predicting the efficacy of immunotherapy in non-small cell lung cancer by Lu Zheng, Lu Zheng, Yanzhu Bian, Yanzhu Bian, Yujing Hu, Congna Tian, Xinchao Zhang, Shuheng Li, Xin Yang, Yanan Qin

“…Patients without a history of smoking and with SUVmax ≤19.2, MTVp ≤20.745cm3, TLGp ≤158.62 g, and age ≤ 60 years benefited more from ICI treatment.…”
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Cardiac manifestations of Fabry disease in G3Stg/GlaKO and GlaKO mouse models-Translation to Fabry disease patients. by Abirami Kugadas, Pietro Artoni, Wanida Ruangsiriluk, Meng Zhao, Natalia Boukharov, Rizwana Islam, Dmitri Volfson, Katayoun Derakhchan

“…Longitudinal assessments of cardiac wall thickness, mass and function were performed in GlaKO and wild-type (WT) littermate controls from 5-13 months of age. G3Stg/GlaKO and WT mice were assessed between 27-28 weeks of age due to their shortened lifespan. …”
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Burden of chronic obstructive pulmonary disease attributable to ambient ozone pollution across China and its provinces, 1990–2021: An analysis for the Global Burden of Disease Stud... by Yixuan Jiang, Fanshu Yan, Haidong Kan, Maigeng Zhou, Peng Yin, Renjie Chen, Jing Ni

“…From 1990 to 2021, there was a notable decrease in the age-standardized rates of COPD-related deaths (68.2%, 95% UI, 60.1–74.9%) and DALYs (71.5%, 95% UI, 63.7–77.6%), especially in regions with poor health conditions. …”
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