Confronting food insecurity through agricultural interventions: the Farmer FIRST program in India by Purushothaman Venkatesan, Nilakandan Sivaramane, Ch Srinivasa Rao, Ramanujam Venkattakumar, Sethuraman Sivakumar, Palanisamy Mooventhan, Rajarshi Roy Burman, Bommu Kalyani, Lalitha Navya Challa

“…Purchasing power was assessed by the additional income generated to buy food during the off-season. …”
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The association between self-acceptance, emotion regulation, and treatment adherence self-efficacy among adolescents with HIV in Liangshan prefecture, China: a cross-sectional stud... by Dan Tan, Wenxi Zhong, Li Ma, Jing Cheng, Xianjun Mao, Xi Zhang, Jian Tang, Song Fan, Bianchuan Cao, Yanhua Chen

“…Treatment adherence self-efficacy was significantly associated with factors such as residence [β = -0.174, 95% CI = (-13.841, -2.260)], occupation [β = 3.234, 95% CI = (7.061, 29.137)], and age [β = 0.312, 95% CI =(0.742, 2.502)]. In addition, self-acceptance and emotion regulation were positively correlated with treatment adherence self-efficacy. …”
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Optimization design of liquid crystal-based reconfigurable intelligent surface-assisted indoor visible light communication systems by Lisu YU, Xinxin LÜ, Run ZHONG, Mingli ZHANG, Zhenghai WANG, Yuhao WANG

“…The final numerical simulation results show that the sum rate of the indoor VLC system incorporating both STAR RIS and LC RIS is significantly higher compared to systems using only reflective RISs and no LC RISs, especially under the ES operation protocol. Additionally, system performance is influenced by the number of LEDs, incident light wavelength, and LC refractive index. …”
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Prevalence of Salmonella and Shigella species and their multidrug resistance patterns among pediatric populations in Ethiopia: a systematic review and meta-analysis by Mihret Tilahun, Melaku Ashagrie Belete, Alemu Gedefie, Habtu Debash, Ermiyas Alemayehu, Daniel Gebretsadik Weldehana, Hussein Ebrahim, Ousman Mohammed, Bruktawit Eshetu, Saba Gebremichael Tekele, Zewudu Mulatie, Agumas Shibabaw

“…Publication bias was assessed using a funnel plot and Egger’s test. In addition, sensitivity analysis was performed to determine the impact of individual studies on the pooled effect size. …”
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Promotional tone in reviews of menopausal hormone therapy after the Women's Health Initiative: an analysis of published articles. by Adriane Fugh-Berman, Christina Pike McDonald, Alicia M Bell, Emily Catherine Bethards, Anthony R Scialli

“…Next, we conducted an additional search using the names of these authors to identify other relevant articles. …”
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Correlation Between Dynamic Contrast-Enhanced CT Imaging Signs and Differentiation Grade and Microvascular Invasion of Hepatocellular Carcinoma by Liu Y, Zhou Y, Liao C, Li H, Zhang X, Gong H, Pu H

“…Multivariate logistic regression analysis was employed to establish a prediction model for variables showing significant differences. Additionally, the diagnostic performance of various indicators were evaluated using ROC analysis.Results: Among the qualitative data, significant differences (P< 0.05) were observed between the MVI-positive and MVI-negative groups in 5 items such as peritumoral enhancement. …”
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Searching for new genes associated with the familial hypercholesterolemia phenotype using whole-genome sequencing and machine learning by D. E. Ivanoshchuk, A. B. Kolker, O. V. Timoshchenko, S. E. Semaev, E. V. Shakhtshneider

“…On the basis of a group of patients with familial hypercholesterolemia (enrolled according to the Dutch Lipid Clinic Network Criteria and including cases confirmed by molecular genetic analysis), decision trees were constructed, which made it possible to identify cases in the study population that require additional molecular genetic analysis. Five probands were identified as having the severest familial hypercholesterolemia without pathogenic variants in the studied genes and were analyzed by whole-genome sequencing on the HiSeq 1500 platform (Illumina). …”
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MAP17 is a Novel NASH Progression Biomarker Associated with Macrophage Infiltration, Immunotherapy Response, and Oxidative Stress by Huang Z, Chen J, Liu S, Xiang X, Long Y, Tan P, Fu W

“…The CIBERSORT algorithm assessed the correlation between MAP17 and immune cell infiltration within the tumor microenvironment (TME), while the TIDE algorithm predicted responses to immunotherapy. Additionally, we conducted gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and gene set enrichment analysis (GSEA) to elucidate the mechanisms by which MAP17 operates. …”
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Anti-Methanogenic Potential of Seaweeds and Impact on Feed Fermentation and Rumen Microbiome In Vitro by Pradeep Kumar Malik, Atul Purshottam Kolte, Shraddha Trivedi, Govindan Tamilmani, Archit Mohapatra, Shalini Vaswani, Johnson Belevendran, Artabandhu Sahoo, Achamveetil Gopalakrishnan, Raghavendra Bhatta

“…A remarkable decrease of 31–42% in CH₄ production was recorded with the incremental inclusion of <i>Kappaphycus alvarezii</i> at levels of 3–5% of the dry matter in the diet. The addition of <i>Sargassum wightii</i> led to a significant decrease of 36–48% in CH₄ emissions when incorporated at levels of 4–5% of dry matter, respectively. …”
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Comparative cardiometabolic safety and effectiveness of aripiprazole in people with severe mental illness: A target trial emulation. by Alvin Richards-Belle, Alvin Richards-Belle, Naomi Launders, Sarah Hardoon, Al Richards, Kenneth K C Man, Neil M Davies, Elvira Bramon, Joseph F Hayes, David P J Osborn

“…Other outcomes included body weight, blood pressure, all-cause discontinuation, and mortality. …”
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Altered medial temporal lobe subregion volumes in systemic lupus erythematosus patients with neuropsychiatric symptoms by Z. Makdad Najeeb, P. C. Sundgren, A. Jönsen, K. Zervides, J. Lätt, T. Salomonsson, J. Nystedt, P. Nilsson, A. Bengtsson, G. Kuchcinski, L. E. M. Wisse

“…Past magnetic resonance imaging (MRI) research in SLE patients showed smaller hippocampal volumes but did not investigate other medial temporal lobe (MTL) regions. …”
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Coagulants for water based on activated aluminum alloys by R.G. Sarmurzina, G.I. Boiko, B.K. Kenzhaliyev, U.S. Karabalin, N.P. Lyubchenko, P.V. Kenyaikin, Zh.B. Ilmaliyev

“…The work is aimed at theoretical justification and experimental proof of a principally new approach to the development of aluminum polyoxychloride production technology based on activated aluminum alloys containing metal activators, such as gallium, indium , and tin from 0.5 to 5 percent weight. In addition, the goal is solving environmental issues associated with improving the drinking water quality and related to environmental pollution with wastewater.METHODS: The microstructures, phase components, and elemental compositions of alloys and reaction products were studied by scanning electron microscopy/energy dispersive X-ray spectroscopy. …”
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Estradiol-dependent and independent effects of FGF21 in obese female mice by T. V. Jakovleva, A. Yu. Kazantseva, A. D. Dubinina, N. Yu. Balybina, K. O. Baranov, E. N. Makarova, N. M. Bazhan

“…In OVX obese females, FGF21, regardless of E2-treatment, did not affect body weight, and adipose tissue weight, or glucose tolerance but increased the consumption of standard chow, reduced blood glucose levels, and suppressed its own expression in the liver (Fgf21), as well as the expression of the G6pc and Acacα genes. …”
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Sealing Effects on Organic Pore Development in Marine Shale Gas: New Insights from Macro- to Micro-Scale Analyses by Qiumei Zhou, Hao Xu, Wen Zhou, Xin Zhao, Ruiyin Liu, Ke Jiang

“…The maximum porosity, specific surface area, and pore volume of the semi-closed system (10.35%, 2.99 m²/g, and 0.0153 cm³/g) were larger than those of the open system (3.87%, 1.97 m²/g, and 0.0059 cm³/g). In addition, when the temperature was 600 °C, the pore diameter distribution in the open system was 0.001–0.1 μm, while the pore diameter distribution in the semi-closed system was 0.001–10 μm. …”
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Excess Sensitivity and Financial Development in the Iranian Households by Amineh Mahmoudzadeh, Kamyab Rajabizadeh, Majid Einian

“…Specifically, a 10% improvement in the average loan amount and loan-to-income ratio (financial depth indicators) results in 12.5% and 13% reductions, respectively, in the coefficient of excess sensitivity of consumption. Additionally, a 10% enhancement in the average number of loans received by households (financial access indicator) leads to an impressive 20.5% reduction in the coefficient of excess sensitivity of consumption. …”
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Application of Statistical Methods for the Characterization of Radon Distribution in Indoor Environments: A Case Study in Lima, Peru by Rafael Liza, Félix Díaz, Patrizia Pereyra, Daniel Palacios, Nhell Cerna, Luis Curo, Max Riva

“…Normality tests (Shapiro–Wilk, Anderson–Darling, and Kolmogorov–Smirnov) were applied to assess the fit of radon concentrations to a log-normal distribution. Additionally, analysis of variance (ANOVA) was used to evaluate the influence of environmental and structural factors on radon variability. …”
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Iron deficiency in endure athletes by Michał Rogulski, Yauheniya Patarocha, Aleksandra Ślusarska, Jolanta Mędyk, Paulina Błasiak, Małgorzata Wirkijowska, Patryk Mikołajec, Ruslan Huk, Barbara Bilecka, Jakub Wirkijowski

“…Conclusions: Iron is playing a key role in numerous metabolic functions of the human body. The disruption of the balance of iron leads to decreased athletic performance.   …”
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El IAPI y el financiamiento de la expansión industrial entre 1946 y 1955 by Julio Ruiz

“…Nor does empirical evidence supports working hypothesis 1, because the main destination of IAPI funds was not the industry, and in addition, the funds for the agricultural sector made up 85% of funds for the private sector. …”
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Transmission Failure Prediction Using AI and Structural Modeling Informed by Distribution Outages by Sita Nyame, William O. Taylor, William Hughes, Mingguo Hong, Marika Koukoula, Feifei Yang, Aaron Spaulding, Xiaochuan Luo, Slava Maslennikov, Diego Cerrai

“…They consist of: (a) creating a linear combination of the outputs of the two modeling approaches, (b) including fragility curves as additional inputs to machine learning models, and (c) developing a new machine learning model that uses the outputs of the weather-based machine learning model, fragility curve estimates, and wind data to make new predictions. …”
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Particulate matter emission in agricultural biomass residue combustion by M.G. Nugraha, A. Sharfan, V.S.Y. Prakoso, M. Hidayat, H. Saptoadi

“…This study aims to assess the environmental implications of biomass waste combustion in Yogyakarta, Indonesia. Additionally, the study aims to investigate potential enhancements in biomass burning practices through experimental campaigns conducted in both open and closed burning conditions.METHODS: The study evaluates Yogyakarta's regional air quality using data from the Meteorology, Climatology, and Geophysical Agency for the period spanning from 2020 to 2022. …”
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