Recombinase-based amplification coupled with lateral flow chromatography for the specific and sensitive detection and identification of Leishmania major in cutaneous leishmaniasis... by Insaf Bel Hadj Ali, Yusr Saadi-Ben Aoun, Imen Khammeri, Hejer Souguir, Emna Harigua-Souiai, Hamed Chouaieb, Ahmed S. Chakroun, Meryem Lemrani, Aicha Kallel, Kalthoum Kallel, Nabil Haddad, Oussaima El Dbouni, Rhea N. Coler, Rhea N. Coler, Rhea N. Coler, Steven G. Reed, Akila Fathallah-Mili, Akila Fathallah-Mili, Ikram Guizani

“…Here, we aimed for a simple and rapid molecular diagnostic test to detect and identify L. major, a predominant CL causal species, which could be prone to become a control tool at the point of care, in endemic areas, using isothermal recombinase DNA amplification (recombinase polymerase amplification, RPA, or recombinase aided amplification, RAA) coupled to detection by the lateral flow (LF) chromatography on a PCRD cassette.MethodsTo develop an L. major species-specific RPA-LF assay, computational analysis of 70 Leishmania DNA targets, identified through bibliography and database searches, selected five targets. We designed and tested 7 primer pairs/probe sets to specifically amplify L. major DNAs. …”
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“Restoration of the Past Scenery-Realm”: A Research on the Scenery-Realm Restoration of Jiang’s Fu Garden During Qing Dynasty in the Historical Revolution of the Humble Administrat... by Qian BIAN

“…However, due to the limitations imposed by the differences in research subjects and the insufficiency of historical materials before, the key questions of what had been “fu” (restored) in this garden and what qualified the garden as a “fu” (restoration) of the past scenery-realm have not been sufficiently elucidated.MethodsThis research employs targeted searches within the Suzhou Library’s Ancient Book Database to augment the existing corpus of literature pertaining to Jiang’s Fu Garden. …”
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Interaction between walkability and fine particulate matter on ischemic heart disease: A prospective cohort study in China by Jiayun Zhang, Peng Shen, Yixing Wang, Zihan Li, Lisha Xu, Jie Qiu, Jingjing Hu, Zongming Yang, Yonghao Wu, Zhanghang Zhu, Hongbo Lin, Zhiqin Jiang, Liming Shui, Mengling Tang, Mingjuan Jin, Feng Tong, Kun Chen, Jianbing Wang

“…Individual-level walkability and PM2.5 were evaluated using a commercial walkability database and a land use regression (LUR) model, respectively. …”
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Construction of a prognostic model for gastric cancer based on immune infiltration and microenvironment, and exploration of MEF2C gene function by Si-yu Wang, Yu-xin Wang, Lu-shun Guan, Ao Shen, Run-jie Huang, Shu-qiang Yuan, Yu-long Xiao, Li-shuai Wang, Dan Lei, Yin Zhao, Chuan Lin, Chang-ping Wang, Zhi-ping Yuan

“…Tumor-related transcription factors (TFs) were retrieved from the Cistrome Cancer database and utilized our model to screen these TFs, and weighted correlation network analysis (WGCNA) was performed to identify transcription factors strongly associated with immunotherapy in GC. …”
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Case Reports: The core of practice-based evidence by Antonio Villa

“…In 2012, the same publisher established the ‘BioMed Central Case Report Database’, in which 30,000 case reports published by more than 250 journal have been indexed in the course of a single year (2012) [6]. …”
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Satellite quantification of methane emissions from South American countries: a high-resolution inversion of TROPOMI and GOSAT observations by S. E. Hancock, D. J. Jacob, Z. Chen, H. Nesser, A. Davitt, A. Davitt, D. J. Varon, M. P. Sulprizio, N. Balasus, L. A. Estrada, M. Cazorla, L. Dawidowski, S. Diez, J. D. East, E. Penn, C. A. Randles, C. A. Randles, J. Worden, I. Aben, R. J. Parker, R. J. Parker, J. D. Maasakkers

“…From the inversion, we derive optimal posterior estimates of methane emissions, adjusting a combination of national anthropogenic emission inventories reported by individual countries to the United Nations Framework Convention on Climate Change (UNFCCC), the UNFCCC-based Global Fuel Exploitation Inventory (GFEIv2), and the Emissions Database for Global Atmospheric Research (EDGARv7) as prior estimates. …”
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Evidence construction of Silibinin capsules against alcoholic liver disease based on a meta-analysis and systematic review by Yan Wang, Yan Wang, Wenmin Yang, Wenmin Yang, Yuan Yang, Yuan Yang, Xingning Liu, Xingning Liu, Lanfen Peng, Lanfen Peng, Qi Huang, Qi Huang, Qi Huang, Kongli Fan, Kongli Fan, Rui Hu, Rui Hu, Jinyu Yi, Jinyu Yi, Xin Zhong, Xin Zhong, Jing Li, Jialing Sun, Xiaozhou Zhou, Xiaozhou Zhou

“…Randomized controlled trials (RCTs) were included from six databases, covering the period from database inception to 30 December 2023. …”
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WAND: A multi-modal dataset integrating advanced MRI, MEG, and TMS for multi-scale brain analysis by Carolyn B. McNabb, Ian D. Driver, Vanessa Hyde, Garin Hughes, Hannah L. Chandler, Hannah Thomas, Christopher Allen, Eirini Messaritaki, Carl J. Hodgetts, Craig Hedge, Maria Engel, Sophie F. Standen, Emma L. Morgan, Elena Stylianopoulou, Svetla Manolova, Lucie Reed, Matthew Ploszajski, Mark Drakesmith, Michael Germuska, Alexander D. Shaw, Lars Mueller, Holly Rossiter, Christopher W. Davies-Jenkins, Tom Lancaster, C. John Evans, David Owen, Gavin Perry, Slawomir Kusmia, Emily Lambe, Adam M. Partridge, Allison Cooper, Peter Hobden, Hanzhang Lu, Kim S. Graham, Andrew D. Lawrence, Richard G. Wise, James T. R. Walters, Petroc Sumner, Krish D. Singh, Derek K. Jones

“…Abstract This paper introduces the Welsh Advanced Neuroimaging Database (WAND), a multi-scale, multi-modal imaging dataset comprising in vivo brain data from 170 healthy volunteers (aged 18–63 years), including 3 Tesla (3 T) magnetic resonance imaging (MRI) with ultra-strong (300 mT/m) magnetic field gradients, structural and functional MRI and nuclear magnetic resonance spectroscopy at 3 T and 7 T, magnetoencephalography (MEG), and transcranial magnetic stimulation (TMS), together with trait questionnaire and cognitive data. …”
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Histopathologic Progression and Metastatic Relapse Outcomes in Small Cell Neuroendocrine Carcinomas of the Urinary Tract by Mohammad Jad Moussa, Georges C. Tabet, Arlene O. Siefker‐Radtke, Lianchun Xiao, Nathaniel R. Wilson, Jianjun Gao, Christopher J. Logothetis, Petros Grivas, Byron Lee, Amishi Y. Shah, Pavlos Msaouel, Roger Li, Leticia Campos Clemente, Jianping Zhao, Nizar M. Tannir, Ashish M. Kamat, Donna E. Hansel, Charles C. Guo, Matthew T. Campbell, Omar Alhalabi

“…Materials and Methods We identified a definitive‐surgery cohort (n = 224) from an institutional database of patients with cT1‐T4NxM0 SCNEC‐URO treated in 1985–2021. …”
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AlphaFold-based AI docking reveals AMPK/SIRT1-TFEB pathway modulation by traditional Chinese medicine in metabolic-associated fatty liver disease by Lulu Zhang, Yi Zheng, Mingyan Shao, Aiping Chen, Meiyi Liu, Wenlong Sun, Tianxing Li, Yini Fang, Yang Dong, Shipeng Zhao, Hui Luo, Juan Feng, Qi Wang, Lingru Li, Yanfei Zheng

“…This study investigated QGJZF’s effects in high-fat diet-induced zebrafish and golden hamsters, and in palmitate (PA) and oleic acid (OA) - induced HepG2 cells, using the SymMap database to identify potential targets and pathways of QGJZF in MAFLD and AlphaFold algorithms to predict protein structures. …”
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Treatment failure and drug resistance among the newly reported HIV-infected patients in Taizhou City from 2020 to 2022 by LI Yan, WU Xuanhe, SHI Lu, LI Guixia, WANG Shanling, WANG Yating, CHEN Tailin, WANG Tingting, XIE Yali, SHEN Weiwei, LIN Haijiang, CHEN Xiaoxiao, HE Na

“…The gene sequences of cases with failed ART were submitted to the HIV drug resistance database of Stanford University to determine the drug resistance mutation sites and drug resistance characteristics.ResultsAmong the 1 023 newly reported HIV-infected patients receiving ART, the median age (P25,P75) was 47 (33, 58) years, 81.4% were male, 66.4% (679/1 023) were infected through heterosexual transmission, 74.7% had a WHO clinical stage Ⅰ/Ⅱ, 62.2% had a baseline CD4 count of >200 cell·μL-1, 94.4% (966/1 023) received an immediate ART, and 78.7% were long-term infected. …”
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Disrupting EDEM3‐induced M2‐like macrophage trafficking by glucose restriction overcomes resistance to PD‐1/PD‐L1 blockade by Shaoyong Peng, Minshan Wu, Qian Yan, Gaopo Xu, Yumo Xie, Guannan Tang, Jinxin Lin, Zixu Yuan, Xiaoxia Liang, Ze Yuan, Jingrong Weng, Liangliang Bai, Xiaolin Wang, Huichuan Yu, Meijin Huang, Yanxin Luo, Xiaoxia Liu

“…Methods Flow cytometric, Western blotting, proteomics analysis, analysis of public database data, genetically modified cell line models, T cell coculture, crystal violetstaining, ELISA, metabonomic and clinical tumour samples were conducted to assess the role of EDEM3 in immune escape and itsmolecular mechanisms. …”
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Geography and age drive racial and ethnic disparities in hospital mortality for paediatric community-acquired pneumonia in the United States: a retrospective population based cohor... by Cody-Aaron L. Gathers, Nadir Yehya, Anireddy Reddy, Paula M. Magee, Vanessa C. Denny, Michelle R. Mayeda, Amanda O’Halloran, Sanjiv D. Mehta, Stephanie Wanamaker, Jessica C. Fowler, Garrett Keim

“…Methods: This was a retrospective cohort study of children age < 18 years with community-acquired pneumonia hospitalized between 2016 and 2021 in the Public Health Information System (PHIS) database. Models included a priori stratification of age ≤ 1 year and geographic region. …”
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Unveiling neurogenic biomarkers for the differentiation between sepsis patients with or without encephalopathy: an updated meta-analysis by Jiyun Hu, Wenchao Li, Shucai Xie, Ya Liao, Tao Chen, Xinrun Wang, Weiping Xia, Fang Huang, Zhaoxin Qian, Lina Zhang

“…We conducted a systematic search of electronic bibliographic databases, including PubMed, Web of Science, Embase, Cochrane databases, CNKI, CQVIP, and WFSD. …”
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Child mortality in England after national lockdowns for COVID-19: An analysis of childhood deaths, 2019-2023. by David Odd, Sylvia Stoianova, Tom Williams, Peter Fleming, Karen Luyt

“…Data were collated by the National Child Mortality Database. Study population size and the underlying population profile was derived from 2021 Office of National Statistics census data Mortality for each analysis year was calculated per 1,000,000 person years. …”
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Global, regional, and national epidemiology of childhood neuroblastoma (1990–2021): a statistical analysis of incidence, mortality, and DALYsResearch in context by Jusen Nong, Cheng Su, Changhua Li, Congjun Wang, Wei Li, Yong Li, Peng Chen, Yanqiang Li, Zihao Li, Xinjin She, Zuxin Yuan, Sentian Liu, Chao Chen, Qian Liao, Yige Luo, Bo Shi

“…Methods: The study utilized data from the Global Burden of Disease (GBD) database to analyze neuroblastoma incidence, mortality, and DALYs in children aged 0–14 years. …”
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N6-methyladenosine RNA modification regulates the transcription of SLC7A11 through KDM6B and GATA3 to modulate ferroptosis by Haisheng Zhang, Cheng Yi, Jianing Li, Yunqing Lu, Haoran Wang, Lijun Tao, Jiawang Zhou, Yonghuang Tan, Jiexin Li, Zhuojia Chen, Gholamreza Asadikaram, Jie Cao, Jianxin Peng, Wanglin Li, Junming He, Hongsheng Wang

“…The Cancer Genome Atlas Program (TCGA) database and immunohistochemistry validated the role of the METTL3/SLC7A11 axis in cancer progression. …”
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The Protocol for the Multi-Ethnic, multi-centre raNdomised controlled trial of a low-energy Diet for improving functional status in heart failure with Preserved ejection fraction (... by Noelle Robertson, Melanie J Davies, Thomas Yates, Gerry P McCann, Gaurav Singh Gulsin, Emer M Brady, Joanne V Wormleighton, Eylem Levelt, Oliver Rider, Jiliu Pan, Christopher Miller, Iain Squire, Mehak Asad, Fardad Soltani, Michelle Hadjiconstantinou, Rachel L Brown, Joanna M Bilak

“…Randomisation is stratified by sex, ethnicity, and baseline Sodium Glucose Cotransporter-2 inhibitor (SGLT2-i) use, using the electronic database RedCap with allocation concealment. Key exclusion criteria include severe valvular, lung or renal disease, infiltrative cardiomyopathies, symptomatic biliary disease or history of an eating disorder. …”
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Effects of non-pharmacological interventions on depressive and anxiety symptoms in pregnant women: a systematic review and network meta-analysisResearch in context by Guowei Zeng, Jianfeng Niu, Ke Zhu, Fei Li, Liwen Li, Kaiming Gao, Yanlong Zhuang, Boyang Zhang, Xiaoqiang Han, Gang Ye, Zhikun Gao, Haobai Li

“…Methods: We conducted a systematic search of PubMed, Embase, the Cochrane Library, and Web of Science for randomized controlled trials (RCTs) that compared non-pharmacological interventions to usual care, from the inception of each database up to October 5, 2024. We included pregnant women with singleton pregnancies who, at baseline, exhibited early signs of depressive and/or anxiety symptoms but did not meet clinical diagnostic criteria or exceed the threshold for clinically significant symptoms. …”
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Organizing an in-class hackathon to correct PDF-to-text conversion errors of 1.0 by Sunho Kim, Royoung Kim, Hee-Jo Nam, Ryeo-Gyeong Kim, Enjin Ko, Han-Su Kim, Jihye Shin, Daeun Cho, Yurhee Jin, Soyeon Bae, Ye Won Jo, San Ah Jeong, Yena Kim, Seoyeon Ahn, Bomi Jang, Jiheyon Seong, Yujin Lee, Si Eun Seo, Yujin Kim, Ha-Jeong Kim, Hyeji Kim, Hye-Lynn Sung, Hyoyoung Lho, Jaywon Koo, Jion Chu, Juwon Lim, Youngju Kim, Kyungyeon Lee, Yuri Lim, Meongeun Kim, Seonjeong Hwang, Shinhye Han, Sohyeun Bae, Sua Kim, Suhyeon Yoo, Yeonjeong Seo, Yerim Shin, Yonsoo Kim, You-Jung Ko, Jihee Baek, Hyejin Hyun, Hyemin Choi, Ji-Hye Oh, Da-Young Kim, Hyun-Seok Park

“…The proposed projects during the hackathon harness an internal database containing different versions of the corpus and annotations.…”
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