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Article
Endophytic Bacillus amyloliquefaciens Mdgb15 is a potential biocontrol agent against tree peony gray mold caused by Botrytis cinerea
Botrytis cinerea is the causal agent of gray mold disease affecting Paeoniaceae plants. The present study focuses on the potential of Bacillus amyloliquefaciens Mdgb15 as a promising biological control agent towa...
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Article
Scalable production of efficient hybrid nanoadsorbent based on porous carbon nanoparticles and polyaniline nanofibers for removal of toxic methylene blue
New scalable synthesis approach has been developed for the production of nanoporous carbon nanoparticles derived from renewable sunflower seed shell, with an average size of 41 nm and spherical shape. Interest...
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Article
The identification of a novel mutation (p.I223fs) in WRN associated with Werner syndrome
Werner syndrome (WS) is a rare autosomal recessive genetic disease caused by mutations in the WRN gene, and it is characterized by multiple manifestations corresponding to early-onset aging. This study reports th...
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Article
Open AccessAn investigation of the effects of meteorological factors on the incidence of tuberculosis
To explore the influence of meteorological factors on the incidence of tuberculosis (TB) in Yingjisha County, Kashgar Region, **njiang, and to provide a scientific basis for the prevention and control of TB. T...
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Article
Open AccessThe causality between CD8+NKT cells and CD16−CD56 on NK cells with hepatocellular carcinoma: a Mendelian randomization study
Hepatocellular carcinoma (HCC), which is featured with high morbidity and mortality worldwide, is a primary malignant tumor of the liver. Recently, there is a wealth of supporting evidence revealing that NK ce...
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Article
Open AccessAutomatic damage identification of Sanskrit palm leaf manuscripts with SegFormer
Palm leaf manuscripts (PLMs) are of great importance in recording Buddhist Scriptures, medicine, history, philosophy, etc. Some damages occur during the use, spread, and preservation procedure. The comprehensi...
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Article
Open AccessEstablishment of a model for predicting preterm birth based on the machine learning algorithm
The purpose of this study was to construct a preterm birth prediction model based on electronic health records and to provide a reference for preterm birth prediction in the future.
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Article
The Antagonistic Alterations of Cerebellar Functional Segregation and Integration in Athletes with Fast Demands of Visual-Motor Coordination
The theoretical foundation of brain-computer interface partly lies in the neural mechanism of motor function plasticity. There has been extensive research on the functional neuroplasticity induced by motor ski...
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Article
The role of KPNA2 as a monotonically changing differentially expressed gene in the diagnosis, risk stratification, and chemotherapy sensitivity of chronic hepatitis B-liver cirrhosis-hepatocellular carcinoma
Chronic hepatitis B-liver cirrhosis-hepatocellular carcinoma (CLH), commonly called the “liver cancer trilogy”, is a crucial evolutionary phase in the emergence of hepatocellular carcinoma (HCC) in China. Prev...
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Article
Predictive value of machine learning for breast cancer recurrence: a systematic review and meta-analysis
Recurrence of breast cancer leads to a high lifetime risk and a low 5 year survival rate. Researchers have used machine learning to predict the risk of recurrence in patients with breast cancer, but the predic...
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Article
Impact of heat on emergency hospital admission in Texas: geographic and racial/ethnic disparities
Studies exploring the racial/ethnicity disparity of the impact of heat on hospital admission are notably limited, especially in Texas, a state with a diverse population and consistently ranking among the top t...
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Article
Open AccessHighly accurate and large-scale collision cross sections prediction with graph neural networks
The collision cross section (CCS) values derived from ion mobility spectrometry can be used to improve the accuracy of compound identification. Here, we have developed the Structure included graph merging with...
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Article
Efficient Pretreatment of Corn Straw with Ionic Liquid Composite System
Proton-type ionic liquids have been proved to be promising for the pretreatment of lignocellulosic biomass, because they can provide high yield cellulase hydrolysis and high lignin removal rate. In this work, ...
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Article
Open AccessUltra-fast and accurate electron ionization mass spectrum matching for compound identification with million-scale in-silico library
Spectrum matching is the most common method for compound identification in mass spectrometry (MS). However, some challenges limit its efficiency, including the coverage of spectral libraries, the accuracy, and...
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Article
Cellulose dissolution in ionic liquid from hydrogen bonding perspective: first-principles calculations
Anions are always considered to explain most of the cellulose dissolution in the ionic liquid; where electron donor theory is always used to elaborate cellulose dissolution in the ionic liquids with different ...
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Article
Open AccessWhy do we love the high line? A case study of understanding long-term user experiences of urban greenways
The High Line park (HLP) in New York City is one of the most successful contemporary greenway parks, inspiring urban planners, designers, artists, and administrators worldwide. This study provides a comprehens...
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Article
A techno-economic analysis of bio-gasoline production from corn stover via catalytic conversion
Bio-gasoline derived from biomass is a clean and renewable energy, which can replace conventional petroleum-derived transport fuels. Here, we developed and evaluated a new catalytic process for the production ...
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Article
Analysis of the effect of temperature on tuberculosis incidence by distributed lag non-linear model in Kashgar city, China
The aim of this study was to explore the effect of temperature on tuberculosis (TB) incidence using the distributed lag non-linear model (DLNM) from 2017 to 2021 in Kashgar city, the region with higher TB inci...
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Article
Underage tobacco sales violations and neighborhood crime arrest in Philadephia: a multiscale GIS-based analysis
Neighborhood crime and frequency of police arrest are important indicators for determining neighborhood safety and well-being. Although extant literature has examined crime and neighborhood characteristics and...
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Article
Open AccessMultidisciplinary collaboration in diagnosis and treatment of neuroleptic malignant syndrome complicated with pneumonia: report of three cases
Neuroleptic malignant syndrome (NMS) is a relatively rare and a potentially fatal syndrome. It is a serious complication associated with antipsychotic therapy. NMS is easily prone to pneumonia, rhabdomyolysis ...
