Berberine in cardiovascular therapy: bridging modern pharmacology with the traditional Chinese botanicals Huanglian (黄连), Huangbai (黄柏), Amur Cork Tree (黄檗), and Gong Lao Mu (亮叶十大功... by Seema Sharma, Sampat Singh Tanwar

“…These include lipid-lowering effects by upregulating LDL receptors and inhibiting PCSK9, antihypertensive effects via vasodilation and modulation of the renin-angiotensin-aldosterone system, antiarrhythmic properties by affecting ion channels, and improvement in cardiac function in heart failure models. Traditionally, Huanglian, Huangbai, Amur Cork Tree, and Gong Lao Mu, all rich sources of berberine, have been used in Traditional Chinese Medicine (TCM) to treat symptoms aligning with cardiovascular disorders, such as palpitations, chest distress, and edema. …”
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Effectiveness and tolerance of exercise interventions for long COVID: a systematic review of randomised controlled trials by Michelle O’Neill, Mairin Ryan, Patricia Harrington, Cillian P McDowell, Kieran A Walsh, Barrie Tyner, Shibu Shrestha, Leah McManus, Fearghal Comaskey

“…Objectives To examine the effectiveness of exercise interventions to improve long COVID symptoms and the tolerance of exercise interventions among people with long COVID.Design Systematic review.Data sources Medline via EBSCOhost, Embase via OVID and CENTRAL via the Cochrane Library up to 28 February 2023.Eligibility criteria for selecting studies Inclusion criteria were: (1) participants with long COVID, as defined by study authors; (2) random assignment to either an exercise intervention or a comparison group and (3) a quantitative measure of at least 1 of the 12 core long COVID outcomes. …”
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Risk Factors, Etiology, Pathology, and Diagnostic Methods for Acute Kidney Injury: A Review Study by Tamer A. Addissouky, Majeed M. A. Ali, Ibrahim El Tantawy El Sayed, Yuliang Wang, Ayman El Baz, Naglaa Elarabany, Ahmed A. Khalil

“…Background: Acute kidney injury (AKI) is characterized by a rapid decline in kidney function, resulting in significant morbidity and mortality. …”
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Biomimetic Design Concepts in African Textile Prints: Embracing Nature's Influence on Fashion and Textiles by Frederick Boamah, Benjamin Tawiah, Ebenezer Howard

“…Eight seed articles were identified after which bibliography coupling was done to identify important articles worthy of inclusion based on the main terms in the topic. The co-citation functionality in Google Scholar was used to further identify and select recent articles that meet the inclusion criteria set out. …”
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Association between Prostinogen (KLK15) genetic variants and prostate cancer risk and aggressiveness in Australia and a meta-analysis of GWAS data. by Jyotsna Batra, Felicity Lose, Tracy O'Mara, Louise Marquart, Carson Stephens, Kimberly Alexander, Srilakshmi Srinivasan, Rosalind A Eeles, Douglas F Easton, Ali Amin Al Olama, Zsofia Kote-Jarai, Michelle Guy, Kenneth Muir, Artitaya Lophatananon, Aneela A Rahman, David E Neal, Freddie C Hamdy, Jenny L Donovan, Suzanne Chambers, Robert A Gardiner, Joanne Aitken, John Yaxley, Mary-Anne Kedda, Judith A Clements, Amanda B Spurdle

“…METHODS AND DATA SOURCES: Twelve out of 22 SNPs, selected on the basis of linkage disequilibrium pattern, were analyzed in an Australian sample of 1,011 histologically verified prostate cancer cases and 1,405 ethnically matched controls. …”
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Preliminary exploration of mRNA, lncRNA, and miRNA expressions in the bovine jejunum unveils novel aspects of Mycobacterium avium subspecies paratuberculosis infections by Yahui Gao, Jie Cao, Bo Han, Dongxiao Sun

“…This study provided a valuable resource for understanding the molecular basis of JD, potentially contributing to the genetic improvement of JD resistance in dairy cattle.…”
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CGREF1 modulates osteosarcoma proliferation by regulating the cell cycle through the Wnt/β-catenin signaling pathway by Zicheng Wei, Kezhou Xia, Wenda Liu, Xinghan Huang, Zhun Wei, Weichun Guo

“…Methods Tumor Immune Estimation Resource (TIMER), The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases were utilized for bioinformatics analysis. …”
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Statistics on the Industry Structure of the Russian Economy and its Optimization Model by O. V. Morozov, M. A. Vasiliev

“…Optimization of the scale of industries is the formation of structural conditions for a more efficient functioning of the Russian economy; it can be recognized as a macroeconomic condition and a strategic reserve for the economic growth.…”
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Depressive disorders in women of climacteric age (review of foreign literature for 2012–2016) by N. A. Bokhan, E. V. Lukiyanova, G. G. Simutkin

“…In the abstract-bibliographic and scientometric database Web of Science Core Collection 70 bibliographic sources are selected across foreign journals between 2012 and 2016, including journals with high Impact Factor. …”
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Fe foam supported FeVO4 nanoparticles for electrochemical nitrogen fixation at ambient conditions by Abdulmalik Aminu, Bilal Masood Pirzada, Shamraiz Hussain Talib, Janah Shaya, Ibrahim Yildiz, Sharmarke Mohamed, Ahsanulhaq Qurashi

“…Despite its attractive potential, the activity and efficiency of conventional e-NRR catalysts are still a major concern due to low selectivity and poor ammonia yields. Inspired by the FeFe and FeV cofactors present in nitrogenases, this study reports the synthesis and electrocatalytic evaluation of FeVO4 catalyst for N2 reduction. …”
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Smart Fault Detection, Classification, and Localization in Distribution Networks: AI-Driven Approaches and Emerging Technologies by Jianxian Wang, Hazlie Mokhlis, Nurulafiqah Nadzirah Mansor, Hazlee Azil Illias, Agileswari K. Ramasamy, Xingyu Wu, Siqi Wang

“…The insights offered herein are expected to provide practical guidance for engineers and researchers for selecting and deploying intelligent fault diagnosis strategies in future distribution networks with high distributed generation penetration.…”
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Bioinformatics-driven exploration of key genes and mechanisms underlying oxidative stress in traumatic brain injury by Bin Ren, Jifang Liang, Leifang Yang, Xiaocong Wei, Min Guo, Hong Li

“…This study aims to elucidate the potential molecular interactions between key genes associated with oxidative stress and their influence on TBI pathogenesis.MethodsTBI dataset and oxidative stress-related genes sourced from Public databases. Differential expression analysis and machine learning models were executed to select key genes, which were further validated using receiver operating characteristic (ROC) curves. …”
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Feedback of patient-reported outcomes to healthcare professionals for comparing health service performance: a scoping review by Dominique A Cadilhac, Shaun L Hancock, Olivia F Ryan, Violet Marion, Sharon Kramer, Paulette Kelly, Sibilah Breen

“…Therefore, the aim of this scoping review was to summarise the emerging approaches to PROs data for ‘service-level’ feedback to healthcare professionals.Setting Healthcare professionals receiving PROs data feedback at the health-service level.Data sources Databases selected for the search were Embase, Ovid Medline, Scopus, Web of Science and targeted web searching. …”
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High prevalence of fecal carriage of extended-spectrum beta-lactamase producing Enterobacterales among patients with urinary tract infections in rural Tanzania by Magreth Erick Macha, Magreth Erick Macha, Magreth Erick Macha, Weihong Qi, Salome N. Seiffert, Anja Bösch, Philipp Kohler, Honorathy Msami Urassa, Sabine Haller, Erin West, Maja Weisser Rohacek, Maja Weisser Rohacek, Maja Weisser Rohacek, Baharak Babouee Flury, Baharak Babouee Flury, Baharak Babouee Flury, Baharak Babouee Flury

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Discontinuation of immune checkpoint inhibitors for reasons other than disease progression and the impact on relapse and survival of advanced melanoma patients. A systematic review... by Konstantinos Lallas, Eftychia Chatziioannou, Derya Durak, Georg Frey, Lina Maria Serna-Higuita, Marie-Lena Rasch, Athanassios Kyrgidis, Eleni Timotheadou, Zoe Apalla, Ulrike Leiter, Lukas Flatz, Lukas Flatz, Aimilios Lallas, Teresa Amaral, Teresa Amaral

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Exploring causal relationships between brain imaging-derived phenotypes and ovarian cancer risk: a bidirectional Mendelian randomization by Ting Liu, Xiaoqian Tuo, Huifang Zhao, Yan Wang, Yu Jiang, Jiaojiao Lu

“…We selected single nucleotide polymorphisms (SNPs) as instrumental variables based on rigorous criteria. …”
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Risk factors for fear of falling in stroke patients: a systematic review and meta-analysis by Li Ma, Qi Xie, Juhong Pei, Ling Gou, Yabin Zhang, Juanping Zhong, Yujie Su, Xinglei Wang, Xinman Dou

“…Therefore, we systematically reviewed the literature on risk factors for FoF in patients with stroke.Design A systematic review and meta-analysisData sources PubMed, Embase, Cochrane Library database, Web of Science, CINAHL, PsycINFO, Grey literature and other relevant databases for related publications were searched (from inception to 17 July 2021).Results Eight studies involving 1597 participants were selected to analyse risk factors for patients with stroke with FoF. …”
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Additive Manufacturing for Automotive Radar Sensors Using Copper Inks and Pastes by Nihesh Mohan, Fabian Steinberger, Sonja Wächter, Hüseyin Erdogan, Gordon Elger

“…Using the use-case “printing of heating coils on the inside of the front housing (primary radome)” needed for de-icing in winter, it is demonstrated that additive manufacturing (AM) can provide economic and functional benefits for manufacturing of the sensors. …”
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Creation of Souvenir Products as a Means of Promotion of Historical and Cultural Heritage of the City by Uliana P. Efremova, Olga A. Tsesevichene, Anastasia A. Seldusheva

“…The methodological basis of the project was theoretical research methods, such as: analysis used to identify and clarify the target audience of the project, and select similar examples, as well as the souvenir market to highlight competitive advantages; synthesis - to identify optimal design solutions and formulate conclusions; comparison - to work with information sources when determining the functionality of the souvenir and its application. …”
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Effect of discontinuing antipsychotic medications on the risk of hospitalization in long-term care: a machine learning-based analysis by Mikko Nuutinen, Riikka-Leena Leskelä, Daniela Fialova, Ira Haavisto, Harriet Finne-Soveri, Jokke Häsä, Johanna Edgren, Hein van Hout, Daniel E. da Cunha Leme, John P. Hirdes, Graziano Onder, Rosa Liperoti

“…The use of restraints, age, and functional impairment were relevant variables in all ITE models in influencing the predicted ITE. …”
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