Publications by authors named "Tingting Zhu"

Heavy metal pollution is a major environmental stress affecting plant growth and development. The heavy metal cadmium inhibits various physiological processes in plants, including seed germination and seedling growth, photosynthesis, and antioxidation. Extensive research has been conducted on the toxic effects of Cd on plants and the mechanisms of Cd tolerance.

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(Lour.) Skeels (wampee) is an outstanding natural plant with medicinal properties. The aim of this study was to compare the cytoprotective effects of four parts of wampee under oxidative stress.

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Background & Aims: Nonalcoholic fatty liver disease (NAFLD) is becoming a severe liver disorder worldwide. Autophagy plays a critical role in liver steatosis. However, the role of autophagy in NAFLD remains exclusive and under debate.

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MicroRNAs (miRNAs) are important factors for the post-transcriptional regulation of protein-coding genes in plants and animals. They are discovered either by sequencing small RNAs or computationally. We employed a sequence-homology-based computational approach to identify conserved miRNAs and their target genes in Persian (English) walnut, and its North American wild relative, A total of 119 miRNA precursors (pre-miRNAs) were detected in the genome and 121 in the genome and miRNA target genes were predicted and their functional annotations were performed in both genomes.

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During the course of evolution of land plants, different classes of flavonoids, including flavonols and anthocyanins, sequentially emerged, facilitating adaptation to the harsh terrestrial environment. Flavanone 3β-hydroxylase (F3H), an enzyme functioning in flavonol and anthocyanin biosynthesis and a member of the 2-oxoglutarate-dependent dioxygenase (2-ODD) family, catalyzes the hydroxylation of ()-flavanones to dihydroflavonols, but its origin and evolution remain elusive. Here, we demonstrate that functional flavone synthase Is (FNS Is) are widely distributed in the primitive land plants liverworts and evolutionarily connected to seed plant F3Hs.

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Cardiovascular diseases (CVDs) remain responsible for millions of deaths annually. Myocardial infarction (MI) is the most prevalent condition among CVDs. Although datadriven approaches have been applied to predict CVDs from ECG signals, comparatively little work has been done on the use of multiple-lead ECG traces and their efficient integration to diagnose CVDs.

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In this work, MoO2 nanoparticles were synthesized and annealed to form Mo2C nanoparticles. This is the first report of a ratiometric electrochemical sensor (R-ECS) for the detection of acetaminophen (AP), in which Mo2C is used as the sensing agent and ferrocene (FC) is used as an internal reference. FC (100 μM) is added directly to the electrolyte solution for convenient operation.

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Background: Prompt identification of patients suspected to have COVID-19 is crucial for disease control. We aimed to develop a deep learning algorithm on the basis of chest CT for rapid triaging in fever clinics.

Methods: We trained a U-Net-based model on unenhanced chest CT scans obtained from 2447 patients admitted to Tongji Hospital (Wuhan, China) between Feb 1, 2020, and March 3, 2020 (1647 patients with RT-PCR-confirmed COVID-19 and 800 patients without COVID-19) to segment lung opacities and alert cases with COVID-19 imaging manifestations.

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In this study, ultrafiltration (UF) pre-oxidation with a boron-doped diamond (BDD) electrode was employed aiming to mitigate membrane fouling during algae-laden water treatment. It was found that BDD anodizing can efficiently alleviate membrane fouling regardless of the filtration membrane material when the oxidation time was over 30 min. This was because that the cake layer fouling resistance was highly mitigated by the pre-oxidation process.

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Background: Liquid-based cytology (LBC) tests, including the liquid-based thin layer method, have demonstrated the highest potential for reducing false-negatives and improving sample quality.

Method: This study aimed to evaluate the diagnostic role of LBC of bronchial brushing specimens in lung cancer. A total of 249 patients were analyzed in our study, involving 155 patients with combined bronchial brushing and bronchoalveolar lavage (BAL) and 94 patients with BAL alone.

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Our previous study showed a reduction of anxiety-like behavior in offspring rats suffered from prenatal cold stress; whether this was related to changes in the offspring gut microbiota is unclear. To obtain the evidence for the role of the gut microbiota in prenatal cold stress offspring, 16S rRNA sequencing technology was used. Male and female offspring rat feces were collected from a room temperature group and a prenatal cold stress group ( ≥ 8) for microbial DNA extraction, followed by 16S rRNA sequencing.

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Mevalonate pathway plays a key role in skin physiological process in human. Recently, it has been reported that mutation of some genes in the mevalonate pathway cause disseminated superficial actinic porokeratosis (DSAP). But the pathogenesis is still unknown.

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Flavonoid glucosides, typically generated from aglycones via the action of uridine diphosphate-dependent glycosyltransferases (UGTs), both contribute to plant viability and are pharmacologically active. The properties of UGTs produced by liverworts, one of the basal groups of non-vascular land plants, have not been systematically explored. Here, two UGTs potentially involved in flavonoids synthesis were identified from the transcriptome of Plagiochasma appendiculatum.

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Ammonium removal in wastewater treatment plants requires a large number of energy input, such as aeration and the addition of organics. Alternative, more economical technologies for nitrogen removal from wastewater are required. This study comprehensively investigated the feasible of microbial electricity coupled with Fe(III) reduction promoting the anaerobic ammonium removal.

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The development of simple and highly effective desulfurization technology is attracting more and more interest in both industrial and academic fields. Here, a new family of precursors was prepared based on hyper-cross-linked asphalt and coal tar building blocks. Thanks to the preintroduced porous structure, the precursors were converted into carbons with high surface area and large micropore volume via a uniform carbonization process.

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Typical plant terpene synthases (TPSs) are responsible for the production of terpenes, a major class of plant secondary metabolites. However, various nonseed plants also harbor genes encoding microbial terpene synthase-like (MTPSL) enzymes. Here, a scan of 31 ferns transcriptomes revealed 40 sequences putatively encoding MTPSLs.

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Low-resource clinical settings are plagued by low physician-to-patient ratios and a shortage of high-quality medical expertise and infrastructure. Together, these phenomena lead to over-burdened healthcare systems that under-serve the needs of the community. Alleviating this burden can be undertaken by the introduction of clinical decision support systems (CDSSs); systems that support stakeholders (ranging from physicians to patients) within the clinical setting in their day-to-day activities.

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Tripartite motif 25 (TRIM25) is a TRIM family member which is involved in innate immunity. However, its role in the modulation of host defense against Mycobacterium tuberculosis (M.tb) infection has not been investigated.

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Biotransformation of selenite to valuable elemental selenium nanoparticles (Se) is a promising avenue to remediate seleniferous environments and simultaneously recover selenium (Se). However, the underlying oxyanion competition and selenite transformation mechanism in prokaryotes are poorly understood. In this work, the impacts of phosphate on selenite uptake and transformation were elucidated with and its mutant deficient in phosphate transport as model microbial strains.

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Wood veneer defect detection plays a vital role in the wood veneer production industry. Studies on wood veneer defect detection usually focused on detection accuracy for industrial applications but ignored algorithm execution speed; thus, their methods do not meet the required speed of online detection. In this paper, a new detection method is proposed that achieves high accuracy and a suitable speed for online production.

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Objective: This paper presents a deep learning method of predicting where in a hospital emergency patients will be admitted after being triaged in the Emergency Department (ED). Such a prediction will allow for the preparation of bed space in the hospital for timely care and admission of the patient as well as allocation of resource to the relevant departments, including during periods of increased demand arising from seasonal peaks in infections.

Methods: The problem is posed as a multi-class classification into seven separate ward types.

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Clinical decision-making in healthcare is already being influenced by predictions or recommendations made by data-driven machines. Numerous machine learning applications have appeared in the latest clinical literature, especially for outcome prediction models, with outcomes ranging from mortality and cardiac arrest to acute kidney injury and arrhythmia. In this review article, we summarize the state-of-the-art in related works covering data processing, inference, and model evaluation, in the context of outcome prediction models developed using data extracted from electronic health records.

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Disturbed intrauterine development increases the risk of renal disease. Various studies have reported that Notch signalling plays a significant role in kidney development and kidney diseases. A disintegrin and metalloproteinase domain 10 (ADAM10), an upstream protease of the Notch pathway, is also reportedly involved in renal fibrosis.

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Organ dysfunction caused by sepsis is life-threatening and results in high mortality. Therapeutic options for sepsis are limited. Pathogenic factors are considered as components of environmental pressure that modify DNA methylation patterns thereby enhancing disease progression.

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Hothesis: Because of their flexible structure and adjustable color, structural colors with non-close-packed colloidal crystal arrays (NCCAs) have broad applications. However, most of these structural colors are limited by an approximate refractive index or high background scattering, and they present an unsatisfactory color that seriously hinders their practical application. Preparation of particles with a high refractive index or adsorption coefficient may be an effective approach to construct highly colorimetric NCCA structural colors in a nonaqueous solvent.

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Synopsis of recent research by authors named "Tingting Zhu"

  • - Tingting Zhu's recent research focuses on a diverse range of topics, including dynamic graph representation learning through the introduction of the Variational Graph Attention Dynamics (VarGATDyn), which enhances the ability to manage complexities in temporal graphs beyond traditional static models.
  • - Zhu also explores the environmental impacts of emerging organic contaminants in sewage sludge, emphasizing the accumulation of pollutants and potential solutions for resource recycling, alongside investigating methods for detecting defects in the candy industry using advanced machine learning techniques.
  • - Another significant area of Zhu's work involves studying the connections between dietary components and cancer risk in obesity, as well as the shared pathways in insomnia and atherosclerosis, highlighting the interrelation of biological and environmental factors in health outcomes.