Offspring metabolic programming via the maternal diet increases susceptibility to metabolic dysregulationResearch in context by Xuguang Li, Nobuaki Shiraki, Takami Watanabe, Rikako Fukui, Kyohei Furukawa, Yusuke Kato, Yuri Nakahara, Shoen Kume, Akashi Taguchi, Youichiro Wada, Dwina Juliana Warman, Kenji Saito, Haruyo Nakajima-Adachi, Satoshi Hachimura, Hisanori Kato, Huijuan Jia

“…However, the impact of a maternal methionine-deficiency (MD) diet on offspring during the critical stage of embryonic pancreatic differentiation remains unclear. Methods: We used an in vitro human induced pluripotent stem cell (hiPSC) differentiation model and in vivo mouse and rat models to assess the impact of short-term maternal MD during pancreatic development. …”
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Therapeutic effects and mechanisms of Fufang Longdan mixture on metabolic syndrome with psoriasis via miR-29a-5p/IGF-1R axis by Guangyun Luo, Guangyun Luo, Xiangyi Kong, Fang Wang, Zhiming Wang, Zhuo Zhang, Huan Cui, Yiwen Zhang, Wen Huang, Xuesong Yang, Jianzhou Ye, Jianzhou Ye

“…However, current treatments have shown limited efficacy in improving the symptoms of both conditions simultaneously.ObjectiveThis study aimed to investigate the therapeutic efficacy of Fufang Longdan Mixture (FLM) in treating MS-P comorbidity, elucidate its mechanism through the miR-29a-5p/IGF-1R axis and evaluate treatment responses between APOE−/− and C57BL/6 mice.MethodsUPLC-Q-exactive-MS/MS analysis was used to characterise FLM’s chemical composition. …”
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Comparison of homologous and heterologous vaccination strategies for combating disease caused by Burkholderia pseudomallei by Sergei S. Biryukov, Christopher K. Cote, Christopher P. Klimko, Jennifer L. Dankmeyer, Nathaniel O. Rill, Melissa Hunter, Michael L. Davies, Zander M. Hedrick, Jennifer L. Shoe, Lindsey K. Schmidt, Caitlyn E. Orne, Ju Qiu, Susan L. Welkos, Mary N. Burtnick, Mary N. Burtnick, Paul J. Brett, Paul J. Brett, David DeShazer

“…Our laboratories have focused on the development of vaccines composed of live attenuated strains and defined subunit antigens.MethodsIn the current study, we evaluated homologous and heterologous combinations of candidate subunits and live vaccines in a murine aerosol model of melioidosis to determine the effects of vaccine composition and delivery scheme on protection in conjunction with immune responses and bacterial clearance.ResultsBoth strategies provided significant protection against lethal aerosol challenges, and the accumulated data support that a heterologous vaccination strategy employing capsular polysaccharide conjugate and Hcp1 subunits and a live but highly safe capsular polysaccharide-producing surrogate strain of B. thailandensis is an effective and potentially agile prophylactic strategy.…”
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Meta‐analysis of cardiac magnetic resonance in prognosticating left ventricular function in peripartum cardiomyopathy by Hawani Sasmaya Prameswari, William Kamarullah, Raymond Pranata, Iwan Cahyo Santosa Putra, Alberta Claudia Undarsa, Mohammad Iqbal, Triwedya Indra Dewi, Nuraini Yasmin Kusumawardhani, Mohammad Rizki Akbar, Astri Astuti

“…Comparisons between groups with the presence of LGE, myocardial oedema, and recovered against non‐recovered patients were pooled. A random‐effects model was employed to calculate the effect size. …”
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“Agent – Environment” Evolution Mechanism of Greenbelt from the Perspective of Complex Adaptive System: A Case Study of Beijing’s Greenbelts by Song LIU, Peiyu SHEN, Dizi LIU, Zhaocheng BAI

“…This research takes Beijing’s greenbelts (the first greenbelt and the second greenbelt) as an example to, according to the “bottom-up” research paradigm of complex adaptive system theory (CAS), depict the adaptation process of multiple agents to promote the evolution of the greenbelt system, and explore the evolution mechanism of greenbelt, so as to seek targeted solutions to optimize greenbelt planning and promote the implementation of greenbelt policies.MethodsBased on the theory of complex adaptive system, the characteristics of the greenbelt system are analyzed from the perspectives of basic characteristics, structural composition and adaptive mechanism. …”
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Amelioration of Metabolic Syndrome by Co-Administration of <i>Lactobacillus johnsonii</i> CRL1231 and Wheat Bran in Mice via Gut Microbiota and Metabolites Modulation by Matias Russo, Antonela Marquez, Estefanía Andrada, Sebastián Torres, Arlette Santacruz, Roxana Medina, Paola Gauffin-Cano

“…Given the potential health benefits of FA and its microbial metabolites, this study aimed to evaluate the therapeutic effect of <i>Lj</i> CRL1231 co-administered with WB in a mouse model of metabolic syndrome (MS) induced by a high-fat diet (HFD). …”
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Association between the early or late onset of gestational diabetes mellitus with neonatal adverse outcomes: a retrospective cohort study by Fabiana Vieira Duarte de Souza Reis, Carlos Izaias Sartorão Filho, Luis Sobrevia, Caroline Baldini Prudencio, Bruna Bologna, Luana Favaro Iamundo, Adriely Magyori, Luiz Takano, Raissa Escandiussi Avramidis, Rafael Guilen de Oliveira, Marilza Vieira Cunha Rudge, Angélica Mércia Pascon Barbosa, Diamater Study Group

“…We aimed to investigate the association between early-onset GDM and adverse outcomes in newborns and neonates, comparing it with the late-onset GDM model. Methods It was a retrospective cohort study conducted at the Perinatal Diabetes Research Center in Assis/SP, affiliated with the Botucatu Medical School-UNESP in Brazil. …”
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A Polysorbate-Based Lipid Nanoparticle Vaccine Formulation Induces In Vivo Immune Response Against SARS-CoV-2 by Aishwarya Saraswat, Alireza Nomani, Lin-Kin Yong, Jimmy Chun-Tien Kuo, Heather Brown, Muralikrishna Narayanareddygari, Avery Peace, Rizan Fazily, Timothy Blake, Christopher D. Petro, Bindhu Rayaprolu, Johanna Hansen, Amardeep Singh Bhalla, Mohammed Shameem

“…By leveraging PS-80’s unique structural properties, this study aimed to develop an mRNA-LNP platform with improved extrahepatic delivery and robust freeze/thaw tolerance. <b>Methods</b>: We employed a stepwise optimization to establish both the lipid composition and formulation buffer to yield a stable, high-performing PS-80-based SARS-CoV-2 mRNA-LNP (SC2-PS80 LNP). …”
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Active learning for advanced biodegradable film design by Yi Gao, Chengcheng Liu, Yang Zhao, Peng Zhao, Feihui Chen, Qinghai Li, Yanguo Zhang, Bin Yang, Hui Zhou

“…Through six iterations with 186 data points for three-target optimization and seven iterations with 166 data points for two-target modeling, a data-driven platform was established to accurately predict CMC film properties based on composition and autonomously identify optimal formulations for specific performance targets. …”
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Treatment of hypothyroidism with levothyroxine plus slow-release liothyronine: a study protocol for a randomized controlled double-blinded clinical trial by F. Azizi, A. Amouzegar, H. Abdi, M. Tohidi, S. Masoumi, D. Khalili, Y. Mehrabi, A. Zadehvakili, M. Hedayati, A. A. Momenan, L. Mehran

“…Before and after the intervention, body weight, heart rate, blood pressure, ECG, quality of life (by ThyPRO-39 and SF-12), resting energy expenditure, and body composition will be evaluated. Also, serum TSH, total T3, total T4, free T4, free T3, total cholesterol, LDL, HDL, triglycerides, fasting blood sugar (FBS), insulin, HbA1C, Homeostatic Model Assessment for Insulin Resistance (HOMA-IR), sex hormone-binding globulin (SHBG), enolase, lactate dehydrogenase (LDH), creatin kinase (CK), ferritin, and metabolomics will be assessed at baseline and compared with their corresponding values at 24 and 48 weeks. …”
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Tunable electrical properties of lignin: morphology-dependent ionic conduction in Kraft and organosolv-derived materials by Rosarita D’Orsi, Sebastiano De Stefano, Ofelia Durante, Marianna Ambrico, Domenico Aceto, Paolo Francesco Ambrico, Nadia Martucciello, Filippo Giubileo, Sandra Rivas, Alessandra Operamolla, Antonio Di Bartolomeo

“…Morphology-dependent adsorption of air molecules primarily enhances ionic conduction, and the good fit to the Arrhenius model suggests that charge transport occurs via carrier hopping across localized energy barriers. …”
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Assessment of Hydrocarbon Losses in the Reservoir Formation T1-A During the Development of the Srednetyungsky Field by R. K. Katanova, E. I. Inyakina, E. Levitina, I. I. Krasnov

“…Experimental PVT studies of a multicomponent gas-condensate mixture to determine the loss of hydrocarbons in the presence of condensation water in the reservoir were carried out on recombined samples of separation gas, condensation water and saturated condensate. Materials and methods of the research. During the exploitation of an oil and gas condensate reservoir for depletion, the component composition (mixture of hydrocarbons and water vapor) of the produced gas condensate system changes, which affects the formation losses of hydrocarbons, as well as the properties of fluids and the dynamics of their phase behavior during field development. …”
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Social Representations of Breast Cancer in Patients, Accompanying Relatives and Specialists by Maria Elena Reina Suarez, Yamila Ramos Rangel, María de los Ángeles Reina Sarmiento, Leonor Cisneros Pimentel, María del Rosario Lleó Moreno, Sara Soraya Naranjo Noda

“…The representative field of breast cancer accounted for mostly models of disease challenge in the study subjects. …”
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Particulate morphology of nanostructured materials by V. M. Gun'ko, O. I. Oranska, V. V. Paientko, I. Ya. Sulym

“…Two versions of the XRD treatment methods were used: (i) full profile analysis (FPA) of whole XRD patterns with a self-consistent regularization (SCR) procedure using models for spherical and lamellar crystallites that allows us to estimate relative contributions of crystallites of different shapes; and (ii) analysis of main pure XRD lines with consideration of corrections on an instrumental line profile and background using a regularization procedure with models of spherical or lamellar crystallites. …”
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Push Factors of Population Migration in Russian Regions in Terms of Age Structure by Evgeniya Mikhailovna Moiseeva

“…of migration using econometric methods. Namely, regression models are estimated on panel data for 85 constituent entities of the Russian Federation for the five-year period from 2019 to 2023. …”
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LINGUISTIC FEATURES OF BUSINESS ENGLISH DISCOURSE THESAURUS by Nataliia V. Zinukova

“…Based on the continuous sampling method (to identify lexical units of institutional Business English discourse for further analysis), the method of dictionary definitions (to study the semantics of lexical units), contrastive method (to establish common and distinctive features for translation) and descriptive method (to identify and systematization of features and difficulties of translation of lexical units of Business English discourse) the features of functioning of Business English discourse thesaurus are analyzed. …”
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FKBP prolyl isomerase 4: a potential target for heart failure and cardioprotective effects via leonurine-pretreated mesenchymal stem cell-derived exosomes by Zhaoyi Li, De-Chong Zheng, Ruixiang Wang, Qian Ding, Yi Zhun Zhu

“…The cardioprotective effects of MSCLeo-EXOs were investigated both in vitro and in vivo via a hypoxia-induced cardiomyocyte injury model, a TGF-β-induced cardiomyocyte fibrosis model, and a mouse model of heart failure. …”
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MLGFENet: Multiscale Local&#x2013;Global Feature Enhancement Network for High-Resolution Remote Sensing Image Change Detection by Huanhuan Lv, Xianqi Yan, Hui Zhang, Cuiping Shi, Ruiqin Wang

“…The integration of a convolutional neural network (CNN) and a Transformer has become a dominant framework for change detection (CD) in remote sensing images, because of its ability to effectively model both local and global features. However, existing methods still face challenges in extracting features from change regions with diverse shapes and sizes, as well as in capturing edge information. …”
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Variable Selection for Multivariate Failure Time Data via Regularized Sparse-Input Neural Network by Bin Luo, Susan Halabi

“…Both methods are optimized using a composite gradient descent algorithm combining standard gradient steps with proximal updates. …”
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An efficient privacy-preserving multilevel fusion-based feature engineering framework for UAV-enabled land cover classification using remote sensing images by S. Nagadevi, G. Abirami, R. Brindha, T. Prabhakara Rao, Gyanendra Prasad Joshi, Woong Cho

“…Finally, the hyperparameter selection of the ERNN model is accomplished by implementing the salp swarm algorithm (SSA) model. …”
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