Publications by authors named "Zhang Shan"

Sponges harbour complex microbiomes and as ancient metazoans and important ecosystem players are emerging as powerful models to understand the evolution and ecology of symbiotic interactions. Metagenomic studies have previously described the functional features of sponge symbionts, however, little is known about the metabolic interactions and processes that occur under different environmental conditions. To address this issue, we construct here constraint-based, genome-scale metabolic networks for the microbiome of the sponge Stylissa sp.

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Introduction: UV-B can be used as an additional technique for nutrient accumulation in blue-grained wheat, which has special nutritional properties due to its blue starch layer. The concentration of flavonoids in blue-grained wheat under UV-B irradiation is extremely important for further investigation and exploitation of the nutritional properties of blue-grained wheat.

Methods: This investigation focuses on the expression of flavonoids and associated genes in blue-grained wheat using transcriptomic and metabolomic analyzes.

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Radix Aconiti Lateralis Preparata (Fuzi) polysaccharide (FZP) is a key bioactive macromolecule derived from the root of Aconitum carmichaeli Debx. FZP has a variety of biological activities, including immunomodulatory, anti-tumor, anti-depressant, organ-protective, hypoglycemic, anti-inflammatory, and other activities. The biological activities of polysaccharides are closely related to their structures, and different extraction and purification methods will yield different polysaccharide structures.

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The current study was to explore the prevalence and risk factors elements of pre-frailty and frailty among patients undergoing hemodialysis (HD) in central China. A cross-sectional, multi-institutional investigation was conducted. From March to May 2024, using the convenience sampling method, a total of 408 HD patients from four hospitals in Xiangyang, China, were recruited for this study.

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In pancreatic cancer, significant alterations occur in the local nervous system, including axonogenesis, neural remodeling, perineural invasion, and perineural neuritis. Pancreatic cancer can impact the central nervous system (CNS) through cancer cell-intrinsic factors or systemic factors, particularly in the context of cancer cachexia. These peripheral and central neuropathic changes exert substantial influence on cancer initiation and progression.

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Aims: The objective of the current study was to investigate the dynamic functional connectivity among large-scale brain networks in patients with insomnia, and to assess the efficacy of repetitive transcranial magnetic stimulation (rTMS) treatment in these individuals.

Methods: Resting-state functional magnetic resonance imaging (rs-fMRI) data from 62 insomnia patients and 69 healthy controls were used to compare differences in dynamic functional connectivity between the two groups. A total of 26 insomnia patients underwent rTMS for four weeks.

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Due to the high catalytic activity and stability for oxygen reduction reaction, N-coordinated Fe-Cu dual-metal doped carbon material (FeCu-N-C) is considered to be one of the promising electrode materials for metal-air battery and fuel cells. Herein, FeCu-N-C dual-metal catalysts was synthesized by an adsorption-calcination strategy. The prepared FeCu-N-C exhibited high activity and stability both in alkaline and acidic media.

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Background: Lupus cystitis, a severe complication of systemic lupus erythematosus (SLE), presents considerable treatment challenges.

Purpose: This case report describes the use of telitacicept in treating severe SLE with lupus cystitis.

Research Design: A single patient with lupus cystitis.

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Students in higher education often encounter significant academic pressure, which can have profound implications for their mental health and academic performance. The current study employs a two-wave longitudinal design to investigate the dynamic interrelationships among academic stress, academic motivation, emotional intelligence, and mindfulness. The study employed a cross-lagged panel model to investigate the temporal interactions among these four constructs and their influence on the academic experiences of doctoral students.

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5-Methylcytosine (5mC) is the most significant DNA modification present in mammalian genomes. Understanding the roles of 5mC in diverse biological processes requires quantitative detection at single-base resolution. In this study, we engineered the repressor of the silencing 1 (ROS1) protein derived from to enhance its 5mC glycosylase/lyase activity, resulting in the creation of the engineered ROS1 (eROS1) protein.

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Article Synopsis
  • Acute coronary syndrome (ACS) is a major global health issue, with timely diagnosis of acute myocardial infarction (AMI) being critical for patient outcomes.
  • The rise of machine learning (ML) has greatly improved the ability to detect and manage ACS through analysis of various data sources, including electrocardiograms and electronic medical records.
  • This review highlights ML algorithms currently used in ACS, identifies challenges in the field, and discusses potential future solutions to enhance patient care.
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Purpose: To evaluate the deformities of tear troughs, and contours of the infraorbital-midfacial region, and to observe the clinical therapeutic effects of lower eyelid reconstruction combined with micro-autologous fat transplantation in orbital-midfacial rejuvenation.

Methods: A total of 87 individuals seeking cosmetic improvement, aged 25 to 45 years (mean age 36.7 years), were selected for this study from March 2020 to March 2022.

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An Fe-doped Ni-based oxalate framework, synthesized a facile co-precipitation method, is applied as an excellent bi-functional electrocatalyst for water and urea oxidation reactions. The obtained framework achieved a large current density of 100 mA cm at 1.497 V and 1.

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  • The study investigates how perinatal factors affect T cell subsets in preterm infants and examines differences in blood gene expression between those with and without brain injury.
  • Infants born earlier or with lower birth weights show higher levels of a specific T cell type (Vδ2 T cells), while no strong links were found between T cell types and brain injury besides gestational age.
  • Gene analysis in infants with brain injury reveals changes in immune-related pathways, indicating altered immune responses associated with brain injuries in preterm infants.
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  • - The study explored the link between earlier menopause and premature mortality, investigating how metabolomic signatures might mediate this relationship.
  • - Analyzing data from 33,687 post-menopausal women, results showed that menopause before age 50 was significantly associated with higher risks of dying young (before 75).
  • - The findings suggest that a specific metabolomic profile, which inversely relates to premature mortality, explains some of the increased risk linked to earlier menopause, underscoring the potential of metabolomics in health research.
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Scutellarin (SCU), a flavonoid glucuronide derived from and , exhibits broad pharmacological effects with promising therapeutic potential in treating various chronic diseases. It has demonstrated efficacy in modulating multiple biological pathways, including antioxidant, anti-inflammatory, anti-apoptotic, and vasodilatory mechanisms. These protective roles make SCU a valuable compound in treating chronic diseases such as cerebrovascular diseases, cardiovascular diseases, neurodegenerative disorders, and metabolic diseases.

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Lipids are important tea aroma precursors. Due to the complexity of black tea processing involving both enzymatic and thermal reactions, the role of lipids in black tea aroma formation remained unclear. Herein, the dynamic changes of lipids and volatiles during black tea processing were simultaneously analyzed by lipidomics and volatolomics using ultra-high-performance liquid chromatography coupled to Q-Exactive Orbitrap mass spectrometry (UHPLC-Q-Exactive) and gas chromatography-tandem mass spectrometry (GC-MS/MS).

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The recent development of artificial intelligence (AI) technology, especially the advance of deep neural network (DNN) technology, has revolutionized many fields. While DNN plays a central role in modern AI technology, it has rarely been used in genetic data analysis due to analytical and computational challenges brought by high-dimensional genetic data and an increasing number of samples. To facilitate the use of AI in genetic data analysis, we developed a C++ package, AIGen, based on two newly developed neural networks (i.

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  • This study presents a new and efficient way to create a self-luminous Cd-based metal-organic framework (Cd-MOF) using a specific ligand that enhances electrochemiluminescence (ECL).
  • The Cd-MOF improves ECL performance by 90 times compared to its individual components due to its unique structure and the catalytic properties of cadmium, which promote the production of luminescence.
  • A sensitive ECL sensor for detecting hydroquinone was developed, achieving a wide detection range and a low detection limit, making it effective for analytical applications.
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  • - The study highlights the significant increase in chemical fertilizer usage, stressing the importance of accurate nitrogen assessment in crops to enhance fertilization methods and reduce environmental harm.
  • - Researchers developed a model utilizing chlorophyll fluorescence to evaluate nitrogen levels in maize leaves, comparing two crop-straw management strategies and various nitrogen application rates over multiple years.
  • - Results indicated that a nitrogen application of 270 kg/ha met crop needs, and while chlorophyll fluorescence technology showed promise for non-destructive nitrogen detection, incorporating additional leaf characteristics was necessary for improved accuracy and effective large-scale application.
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Contrary to oxide or polymeric glasses, metallic glasses are infamously known for their relatively limited thermal stability, which is often characterized by their narrow supercooled liquid regions. Nonetheless, we successfully fabricated metallic-glass based nanomembranes with an ultrahigh thermal ability by a polymer surface buckling enabled exfoliation technique. These nanomembranes exhibit a distinctive nanostructure with nanosized metallic-glasses encapsulated within an interconnected nanoamorphous-oxide network.

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  • Large language models (LLMs) are being increasingly utilized in education to create personalized learning experiences that cater to the whole learner, considering both cognitive and non-cognitive traits.
  • The article identifies three major challenges to achieving this personalized approach: improving how LLMs represent learners, developing adaptive technologies for tailored support, and effectively creating and evaluating educational agents powered by LLMs.
  • To tackle these challenges, the authors discuss methods for interpreting LLM behaviors, utilizing feedback and support strategies, and the complexities of using natural language for designing educational agents.
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  • Charge-redistributed CoO/FeCoP heterointerfaces are developed to enhance electrocatalytic urea oxidation in alkaline solutions, achieving high efficiency with only 1.41 V RHE at 100 mA cm.
  • The electrocatalyst demonstrates a low Tafel slope of 74 mV dec, indicating fast reaction kinetics for urea oxidation.
  • A remarkable stability of 36 hours showcases the effectiveness of the charge redistribution strategy in creating highly efficient electrocatalysts.
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Objective: To investigate the value of 7E instructional model in the teaching of nursing students in nursing clinical probation.

Methods: One hundred and fifty-nine nursing undergraduates of the class of 2018 who were on probation in our hospital from November 2020 to June 2021 were selected as the control group by convenience sampling, and the traditional teaching model was adopted; an additional 171 nursing undergraduates of the class of 2019 who were on clinical probation in the same hospital from November 2021 to June 2022 were selected as the experimental group, and the 7E instructional model was adopted, including elicit, engagement, exploration, explain, elaborate, evaluate and extend.

Results: After the intervention, the experimental group was higher than the control group in theoretical knowledge scores (59.

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