Lipid profile in hospitalized patients with COVID-19 depending on the outcome of its acute phase: data from the international registry "Dynamics analysis of comorbidities in SARS-C... by G. P. Arutyunov, E. I. Tarlovskaya, A. G. Arutyunov, Yu. N. Belenkov, A. O. Konradi, Yu. M. Lopatin, A. P. Rebrov, S. N. Tereshchenko, A. I. Chesnikova, G. G. Airapetyan, A. P. Babin, I. G. Bakulin, N. V. Bakulina, L. A. Balykova, A. S. Blagonravova, M. V. Boldina, M. I. Butomo, A. R. Vaisberg, A. S. Galyavich, V. V. Gomonova, N. Yu. Grigorieva, I. V. Gubareva, I. V. Demko, A. V. Evzerikhina, A. V. Zharkov, A. A. Zateyshchikova, U. K. Kamilova, Z. F. Kim, T. Yu. Kuznetsova, A. N. Kulikov, N. V. Lareva, E. V. Makarova, S. V. Malchikova, S. V. Nedogoda, M. M. Petrova, I. G. Pochinka, K. V. Protasov, D. N. Protsenko, D. Yu. Ruzanov, S. A. Saiganov, A. Sh. Sarybaev, N. M. Selezneva, A. B. Sugraliev, I. V. Fomin, O. V. Khlynova, O. Yu. Chizhova, I. I. Shaposhnik, D. A. Schukarev, A. K. Abdrakhmanova, S. A. Avetisyan, O. G. Avoyan, K. K. Azaryan, G. T. Aimakhanova, D. A. Aiypova, A. Ch. Akunov, M. K. Alieva, A. R. Almukhambedova, A. V. Aparkina, O. R. Aruslanova, E. Yu. Ashina, O. Yu. Badina, O. Yu. Barysheva, T. I. Batluk, A. S. Batchaeva, R. A. Bashkinov, A. M. Bitieva, I. U. Bikhteev, N. A. Borodulina, M. V. Bragin, V. A. Brazhnik, A. M. Budu, G. A. Bykova, K. R. Vagapova, D. D. Varlamova, N. N. Vezikova, E. A. Verbitskaya, O. E. Vilkova, E. A. Vinnikova, V. V. Vustina, E. A. Galova, V. V. Genkel, D. B. Giller, E. I. Gorshenina, E. V. Grigoryeva, E. Yu. Gubareva, G. M. Dabylova, A. I. Demchenko, O. Yu. Dolgikh, M. Y. Duishobaev, D. S. Evdokimov, K. E. Egorova, A. N. Ermilova, A. E. Zheldybaeva, N. V. Zarechnova, Yu. D. Zimina, S. Yu. Ivanova, E. Yu. Ivanchenko, M. V. Ilyina, M. V. Kazakovtseva, E. V. Kazymova, Yu. S. Kalinina, N. A. Kamardina, A. M. Karachenova, I. A. Karetnikov, N. A. Karoli, M. Kh. Karsiev, D. S. Kaskaeva, K. F. Kasymova, J. B. Kerimbekova, E. S. Kim, N. V. Kiseleva, D. A. Klimenko, A. V. Klimova, O. V. Kovalishena, S. V. Kozlov, E. V. Kolmakova, T. P. Kolchinskaya, M. I. Kolyadich, O. V. Kondryakova, M. P. Konoval, D. Yu. Konstantinov, E. A. Konstantinova, V. A. Kordyukova, E. V. Koroleva, A. Yu. Kraposhina, T. V. Kryukova, A. P. Kuznetsova, T. Yu. Kuzmina, K. V. Kuzmichev, Ch. K. Kulchoroeva, T. V. Kuprina, I. M. Kuranova, L. V. Kurenkova, N. Yu. Kurchugina, N. A. Kushubakova, V. I. Levankova, A. A. Ledyaeva, T. V. Lisun, V. E. Lisyanskaya, N. A. Lyubavina, N. A. Magdeeva, K. V. Mazalov, V. I. Mayseenko, A. S. Makarova, A. M. Maripov, N. V. Markov, A. A. Marusina, E. S. Melnikov, A. I. Metlinskaya, N. B. Moiseenko, F. N. Muradova, R. G. Muradyan, Sh. N. Musaelyan, E. S. Nekaeva, N. M. Nikitina, S. E. Nifontov, E. Yu. Obolentseva, A. A. Obukhova, B. B. Ogurlieva, A. A. Odegova, Yu. V. Omarova, N. A. Omurzakova, Sh. O. Ospanova, V. A. Pavlova, E. V. Pakhomova, L. D. Petrov, S. S. Plastinina, D. A. Platonov, V. A. Pogrebetskaya, D. V. Polyakov, D. S. Polyakov, E. V. Ponomarenko, L. L. Popova, A. A. Potanin, N. A. Prokofieva, Yu. D. Rabik, N. A. Rakov, A. N. Rakhimov, N. A. Rozanova, S. Serikbolkyzy, Ya. A. Sidorkina, A. A. Simonov, V. V. Skachkova, R. D. Skvortsova, D. S. Skuridin, D. V. Solovieva, I. A. Solovieva, I. M. Sukhomlinova, A. G. Sushilova, D. R. Tagaeva, Yu. V. Titoikina, E. P. Tikhonova, D. S. Tokmin, A. A. Tolmacheva, M. S. Torgunakova, K. V. Trenogina, N. A. Trostyanetskaya, D. A. Trofimov, M. A. Trubnikova, A. A. Tulichev, A. T. Tursunova, N. D. Ulanova, O. V. Fatenkov, O. V. Fedorishina, T. S. Fil, I. Yu. Fomina, I. S. Fominova, I. A. Frolova, S. M. Tsvinger, V. V. Tsoma, M. B. Cholponbaeva, T. I. Chudinovskikh, I. V. Shavrin, O. A. Shevchenko, D. R. Shikhaliev, E. A. Shishkina, K. Yu Shishkov, S. Yu. Shcherbakov, G. V. Shcherbakova, E. A. Yausheva

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Hierarchical clustering of the pre-exam anxiety levels in physically inactive and active adolescent students from 56 countries: an observational study using PISA program data by Samuel Encarnação, Samuel Encarnação, Samuel Encarnação, José Eduardo Teixeira, José Eduardo Teixeira, José Eduardo Teixeira, José Eduardo Teixeira, José Eduardo Teixeira, José Eduardo Teixeira, Pedro Forte, Pedro Forte, Pedro Forte, Luciano Bernardes Leite, Luciano Bernardes Leite, Andrew Sortwell, Andrew Sortwell, Luís Branquinho, Luís Branquinho, Luís Branquinho, Luís Branquinho, Ricardo Ferraz, Ricardo Ferraz, Pedro Afonso, Pedro Afonso, Paula Vaz, Paula Vaz, António Miguel Monteiro, António Miguel Monteiro

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Identification of novel and rare variants associated with handgrip strength using whole genome sequence data from the NHLBI Trans-Omics in Precision Medicine (TOPMed) Program. by Chloé Sarnowski, Han Chen, Mary L Biggs, Sylvia Wassertheil-Smoller, Jan Bressler, Marguerite R Irvin, Kathleen A Ryan, David Karasik, Donna K Arnett, L Adrienne Cupples, David W Fardo, Stephanie M Gogarten, Benjamin D Heavner, Deepti Jain, Hyun Min Kang, Charles Kooperberg, Arch G Mainous, Braxton D Mitchell, Alanna C Morrison, Jeffrey R O'Connell, Bruce M Psaty, Kenneth Rice, Albert V Smith, Ramachandran S Vasan, B Gwen Windham, Douglas P Kiel, Joanne M Murabito, Kathryn L Lunetta, TOPMed Longevity and Healthy Aging Working Group, from the NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium

“…Further studies in samples with sequence data and diverse ancestries are needed to confirm these findings.…”
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Identifying accurate methods of assessing blood pressure and health information by lay volunteers in the Philippines: Adapting a Canadian cardiometabolic health program to LMICs by Ricardo Angeles, Floro Dave Arnuco, Fortunato Cristobal, Lisa Dolovich, Janusz Kaczorowski, Dale Guenter, Kasthuri Selvarajah, Fiona Parascandalo, Jessica Gaber, Gina Agarwal

“…Background: Hypertension is a leading cause of mortality worldwide, especially in low- and middle-income countries (LMICs). In Canada, the Cardiovascular Health Awareness Program (CHAP) was proven effective in reducing cardiovascular hospitalizations. …”
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BINARY LOGISTICS REGRESSION MODEL TO IDENTIFY FACTORS ASSOCIATED WITH LOW BIRTH WEIGHT (LBW) (CASE STUDY: BABY DATA AT DR. M. HAULUSSY HOSPITAL AMBON) by Yunita Puspita Sari, Marlon S. Noya Van Delsen, Yopi Andry Lesnussa

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Perinatal Mortality in Emergency Obstetric Health Care Facilities, Nakuru County, Kenya, 2014–2017: A descriptive cross sectional surveillance data analysis by Ben Kipchumba Ngare, Yuster Ronoh, Maurice Owiny, Caren Gesare, Zeinab Gura

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A Low-Cost Arduino-Based I–V Curve Tracer with Automated Load Switching for PV Panel Characterization by Pedro Leineker Ochoski Machado, Luis V. Gulineli Fachini, Erich T. Tiuman, Tathiana M. Barchi, Sergio L. Stevan, Hugo V. Siqueira, Romeu M. Szmoski, Thiago Antonini Alves

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Comparison of HLA allelic imputation programs. by Jason H Karnes, Christian M Shaffer, Lisa Bastarache, Silvana Gaudieri, Andrew M Glazer, Heidi E Steiner, Jonathan D Mosley, Simon Mallal, Joshua C Denny, Elizabeth J Phillips, Dan M Roden

“…These observations were consistent when accuracy was compared across HLA loci. All imputation programs performed similarly for low frequency HLA alleles. …”
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Evaluating the effectiveness of evidence-based falls prevention programs: a study on participant risk levels and program congruency by Cathy S. Elrod, Rita A. Wong

“…When the fall risk level of participants, by program, was compared to the target risk profile of the associated EBFPP, programs that had a risk profile targeting individuals at moderate to low risk were found to enroll a larger percentage of adults at high risk than expected. …”
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Benefits of the Person-Oriented Perspective for Program Evaluation: Analyzing the Differential Treatment Effects of the Vienna E-Lecturing Program by Dominik Lapka, Petra Wagner, Barbara Schober, Petra Gradinger, Christiane Spiel

“… Background: In program evaluation interventions are usually examined for global effects but not always for differential effects. …”
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Level of overweight and obesity surpassed underweight among women in 40 low and middle-income countries: Findings from a multilevel multinomial analysis of population survey data. by Kusse Urmale Mare, Kebede Gemeda Sabo, Beriso Furo Wengoro, Begetayinoral Kussia Lahole

“…<h4>Methods</h4>A secondary analysis of Demographic and Health Survey data from 40 low- and middle-income countries was performed using a weighted sample of 1,044,340 women of reproductive age. …”
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Help-seeking behaviors among survivors of intimate partner violence during pregnancy in 54 low- and middle-income countries: evidence from Demographic and Health Survey data by Mariella Stiller, Michael Lowery Wilson, Till Bärnighausen, Adebola Adedimeji, Erin Lewis, Anne Abio

“…Methods This study made use of population-based data from the Demographic and Health Surveys (DHS) Program from 54 LMICs, collected between 2005 and 2020 (N = 359,027). …”
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Strategies for men’s engagement and its effectiveness in improving child health and immunization—a rapid review by Sarah Nabia, Myra Betron, Elizabeth Arlotti-Parish, Amanda Varnauskas, Chinelo Cynthia Nduka, Angioha Pius, Jean Munro, Katharine Bagshaw, Chizoba Barbara Wonodi

“…Moreover, only two studies measured the strategies’ influence on improving immunization outcomes.ConclusionIt can be concluded there is a significant need for more evidence on gender-transformative approaches in child health and immunization programming in LMICs.…”
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Program konseling hipotetik untuk mereduksi prokrastinasi akademik mahasiswa program studi bimbingan dan konseling UNIPA Surabaya by Ayong Lianawati

“…The purpose of this research is to formulate a hypothetic program in addressing academic procrastination of students. …”
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Comparison of survival in patients with low vs. intermediate prostate-specific antigen concentrations and development of a nomogram: a surveillance, epidemiology and end results pr... by Jingchang Mei, Guanqun Zhu, Yu Yao, Fengju Guan, Lijiang Sun, Guiming Zhang

“…Methods We retrospectively reviewed data of 233,554 prostate cancer patients in the Surveillance, Epidemiology and End Results (SEER) program and of 199 prostate cancer patients from the medical records of the Affiliated Hospital of Qingdao University with PSA ≤10 ng/mL at diagnosis. …”
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Linking High Risk Postpartum Women with a Technology Enabled Health Coaching Program to Reduce Diabetes Risk and Improve Wellbeing: Program Description, Case Studies, and Recommend... by Priyanka Athavale, Melanie Thomas, Adriana T. Delgadillo-Duenas, Karen Leong, Adriana Najmabadi, Elizabeth Harleman, Christina Rios, Judy Quan, Catalina Soria, Margaret A. Handley

“…Background. Low-income minority women with prior gestational diabetes mellitus (pGDM) or high BMIs have increased risk for chronic illnesses postpartum. …”
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Intimate partner violence during pregnancy against 601,534 women aged 15 to 49 years in 57 LMICs: prevalence, disparities, trends and associated factors using Demographic and Healt... by David Jean Simon, Vénunyé Claude Kondo Tokpovi, Adama Ouedraogo, Kassoum Dianou, Ann Kiragu, Comfort Z. Olorunsaiye, Bénédique Paul

“…We also examined changes in IPVDP in LMICs and associated factors. Methods: Data for this study were extracted from Demographic and Health Surveys conducted in 57 LMICs from 2000 to 2024. …”
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Measurement and Calculation of Leakage Gamma Energy Deposition Spectra from Fe Samples after Interaction of D-T Neutrons by XU Kuozhi1, NIE Yangbo1, 2, , ZHANG Shiyu2, PAN Xinyi1, ZHAO Qi1, DING Yanyan1, REN Jie1, CHEN Hongtao1, SUN Qi1, RUAN Xichao1, 2

“…Simulations of the leakage gamma spectra were carried out using the MCNP 4C program with evaluated data for iron isotopes from the CENDL-3.2, ENDF/B-Ⅷ.0, JENDL-5.0, and JEFF-3.3 libraries, and the detector response matrix calculated by the Geant4 program. …”
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Future Low-Cost Urban Air Quality Monitoring Networks: Insights from the EU’s AirHeritage Project by Saverio De Vito, Antonio Del Giudice, Gerardo D’Elia, Elena Esposito, Grazia Fattoruso, Sergio Ferlito, Fabrizio Formisano, Giuseppe Loffredo, Ettore Massera, Paolo D’Auria, Girolamo Di Francia

“…The last decade has seen a significant growth in the adoption of low-cost air quality monitoring systems (LCAQMSs), mostly driven by the need to overcome the spatial density limitations of traditional regulatory grade networks. …”
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Buffalo genetic improvement program in Vene- zuela by José A. Aranguren-Méndez, Rafael M. Román-Bravo, Ricardo A. Briceño-Rojas, Mauricio G. Briceño-Rojas, Luis A. Pacheco-Díaz

“…It is an integral part of most breeding programs based on two fundamental pillars: phenotypic data (milk production, fat, protein, or morphological traits) and genealogical information (through the availability of a pedigree). …”
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