An Ontology-Based Approach for Understanding Appendicectomy Processes and Associated Resources.

Background: Traditional methods for analysing surgical processes often fall short in capturing the intricate interconnectedness between clinical procedures, their execution sequences, and associated resources such as hospital infrastructure, staff, and protocols.

Aim: This study addresses this gap by developing an ontology for appendicectomy, a computational model that comprehensively represents appendicectomy processes and their resource dependencies to support informed decision making and optimise appendicectomy healthcare delivery.

Methods: The ontology was developed using the NeON methodology, drawing knowledge from existing ontologies, scholarly literature, and de-identified patient data from local hospitals.

Geographical origins of Angelica sinensis using functional compounds and multielement with machine learning-based fusion approaches.

Ensuring food traceability is essential for maintaining safety and authenticity. Angelica sinensis (Oliv.) Diels (AS), a medicinal food prized for its rich nutritional value and tonic effects, is frequently vulnerable to geographic origin fraud.

Electrolyte-Gated Ionic Transistor for Highly Sensitive and Selective Iontronic Sensing.

Iontronic sensors based on confined space have garnered significant attention due to their promising applications, ranging from single-cell analysis to studies. However, their limited sensitivity has constrained their effectiveness in studying molecular information during physiological and pathological processes. Here, we demonstrate an electrolyte-gated ionic transistor (EGIT) by integrating the confined ion transport behavior in a double-barreled micropipet with an electrolyte-gated transistor configuration, achieving highly sensitive and selective sensing.

CCR5 and IL-12 co-expression in CAR T cells improves antitumor efficacy by reprogramming tumor microenvironment in solid tumors.

Chimeric antigen receptor (CAR) T cell therapy for solid tumors faces significant challenges, including inadequate infiltration, limited proliferation, diminished effector function of CAR T cells, and an immunosuppressive tumor microenvironment (TME). In this study, we utilized The Cancer Genome Atlas database to identify key chemokines (CCL4, CCL5, and CCR5) associated with T cell infiltration across various solid tumor types. The CCL4/CCL5-CCR5 axis emerged as significantly correlated with the presence of T cells within tumors, and enhancing the expression of CCR5 in CAR T cells bolstered their migratory capacity.

Comparative diagnostic performance of imaging modalities in chronic pancreatitis: a systematic review and Bayesian network meta-analysis.

Purpose: We aimed to perform a Bayesian network meta-analysis to assess the comparative diagnostic performance of different imaging modalities in chronic pancreatitis(CP).

Methods: The PubMed, Embase and Cochrane Library databases were searched for relevant publications until March 2024. All studies evaluating the head-to-head diagnostic performance of imaging modalities in CP were included.

Network analysis of intergenerational transmission of psychopathological symptom among adolescents: A cross-sectional study.

The intergenerational transmission of psychopathology has been well documented, but limited studies have examined the link at the symptomatic level accounting for these associations. This study aimed to identify the central symptoms that bridge adolescents and parental psychopathological symptoms and the specific symptom pathways by using a novel network approach. From September to October 2021, a cross-sectional study was conducted in Wuhan, China.

Causes of Unwarranted Variation and Disparity in Breast Cancer Management in Regional and Rural Area.

Introduction: Breast cancer management is complex, requiring personalised care from multidisciplinary teams. Research shows that there is unwarranted clinical variation in mastectomy rates between rural and metropolitan patients; that is, variation in treatment which cannot be explained by disease progression or medical necessity. This study aims to determine the clinical and nonclinical factors contributing to any unwarranted variation in breast cancer management in rural patients and to evaluate how these factors and variations relate to patient outcomes.

Directed evolution of glutamate decarboxylase B for enhancing its enzyme activity towards nearly neutral pHs based on error-prone PCR.

Glutamate decarboxylases (GADs) can catalyze the conversion of l-glutamate to γ-aminobutyric acid (GABA), while consuming one H. However, the GADs found so far are catalytically active in the pHs of 3.8-5.

Biochar reduces containerized pepper blight caused by Phytophthora Capsici.

Phytophthora blight caused by Phytophthora capsici is a serious disease affecting a wide range of plants. Biochar as a soil amendment could partially replace peat moss and has the potential to suppress plant diseases, but its effects on controlling phytophthora blight of container-grown peppers have less been explored, especially in combination of biological control using Trichoderma. In vitro (petri dish) and in vivo (greenhouse) studies were conducted to test sugarcane bagasse biochar (SBB) and mixed hardwood biochar (HB) controlling effects on pepper phytophthora blight disease with and without Trichoderma.

Electrophotocatalytic Thiocyanation and Sulfonylation Cyclization of Unactivated Alkenes.

We report an electrophotocatalytic process that enables the thiocyanation and sulfonylation/cyclization of alkenes. It is applicable to a wide range of unactivated alkenes, using the inexpensive photocatalyst 2,4,6-triphenylpyrylium tetrafluoroborate (TPPT) to produce a diverse array of heterocycles containing sulfonyl and thiocyano groups with good functional group tolerance. The protocol operates under mild, chemical oxidant- and transition-metal-free, with a broad scope of substrates.

Determining structures of RNA conformers using AFM and deep neural networks.

Much of the human genome is transcribed into RNAs, many of which contain structural elements that are important for their function. Such RNA molecules-including those that are structured and well-folded-are conformationally heterogeneous and flexible, which is a prerequisite for function, but this limits the applicability of methods such as NMR, crystallography and cryo-electron microscopy for structure elucidation. Moreover, owing to the lack of a large RNA structure database, and no clear correlation between sequence and structure, approaches such as AlphaFold for protein structure prediction do not apply to RNA.

The conformational space of RNase P RNA in solution.

RNA conformational diversity has fundamental biological roles, but direct visualization of its full conformational space in solution has not been possible using traditional biophysical techniques. Using solution atomic force microscopy, a deep neural network and statistical analyses, we show that the ribonuclease P (RNase P) RNA adopts heterogeneous conformations consisting of a conformationally invariant core and highly flexible peripheral structural elements that sample a broad conformational space, with amplitudes as large as 20-60 Å in a multitude of directions, with very low net energy cost. Increasing Mg drives compaction and enhances enzymatic activity, probably by narrowing the conformational space.

Biomimetic Nanostructured Polyimine Aerogels with Graded Porosity, Flame Resistance, Intrinsic Superhydrophobicity, and Closed-Loop Recovery.

Polymer aerogels, with their porous and lightweight features, excel in applications such as energy storage, absorption, and thermal insulation, making them a sought-after new material. However, the covalent cross-linking networks of current polymer aerogels result in unsustainable manufacturing and processing practices, persistently depleting our finite natural resources and causing significant global environmental impacts. Herein, we have constructed a high-performance dynamic covalent cross-linking aerogel network using biobased materials, with its structure and green sustainability akin to those of plants in nature.

A novel anti-HER2 monoclonal antibody IAH0968 in HER2-positive heavily pretreated solid tumors: results from a phase Ia/Ib first-in-human, open-label, single center study.

Background: IAH0968 is an afucosylated anti-epidermal growth factor receptor 2 (HER2) monoclonal antibody which improved the activity of antibody-dependent cellular cytotoxicity (ADCC) and superior anti-tumor efficacy.

Methods: To determine the maximum tolerated dose (MTD) with dose-limiting toxicity (DLT), a single institution, phase Ia/Ib study was undertaken, using 3 + 3 design. The primary endpoints were safety, tolerability and preliminary clinical activity.

An accurate irrigation volume prediction method based on an optimized LSTM model.

Precise prediction of irrigation volumes is crucial in modern agriculture. This study proposes an optimized long short-term memory (LSTM) model-based irrigation prediction method that combines bidirectional LSTM networks. The model provides farmers with more precise irrigation management decisions, facilitating optimal utilization of water resources and effective crop production management.

Changing trends in lung cancer disease burden between China and Australia from 1990 to 2019 and its predictions.

Purpose: Lung cancer (LC) is a leading cause of death and presents a substantial societal burden. This article compares its disease burden and risk factors between China and Australia to support health policymakers for LC prevention and treatment.

Materials And Methods: The data from the 2019 Global Burden of Disease Study were used to analyze disease temporal trends using Joinpoint regression model.

Mechanistic Understanding of Superior Methylene Blue Adsorption Capacity in a Novel g-CN Modified Amorphous Na-Ca-Mg Silicate Adsorbent: Insights from Multinuclear Solid-State NMR Spectroscopy.

Silicate-based adsorbents offer significant advantages over traditional materials, particularly due to their superior thermal and chemical stability, enhanced regenerability, and the ability to endure more rigorous operating conditions. In this study, an amorphous Na-Ca-magnesium silicate adsorbent (SAAM) and its g-CN-modified counterpart (gCN-SAAM) were synthesized via alkali activation and a subsequent thermal process, respectively. The g-CN modification resulted in a novel hybrid adsorbent with a remarkable methylene blue (MB) adsorption capacity of 420 mg g, four times higher than the unmodified sample, setting a new benchmark.

On-surface synthesis.

is pleased to introduce a Collection of research works focused on recent developments within the interdisciplinary field of on-surface synthesis. Here, the Guest Editors highlight key themes and look towards the future of this research field.

Mechanistic insights for efficient removal of intracellular and extracellular antibiotic resistance genes by iron-based nanocopper: Intracellular oxidative stress and internalization of nanocopper.

The widespread use of antibiotics has led to a severe pollution issue with antibiotic resistance genes (ARGs), which poses a significant threat to both ecological environments and human health. In this study, we developed an iron-based nanocopper bimetallic material (Fe-nCu) for the efficient removal of ARGs. Our results indicate that nCu can attach to the surface of iron, forming aggregated copper nanoclusters resembling wheat ears.

Optically Modulated Nanofluidic Ionic Transistor for Neuromorphic Functions.

Neuromorphic systems that can emulate the behavior of neurons have garnered increasing interest across interdisciplinary fields due to their potential applications in neuromorphic computing, artificial intelligence and brain-machine interfaces. However, the optical modulation of nanofluidic ion transport for neuromorphic functions has been scarcely reported. Herein, inspired by biological systems that rely on ions as signal carriers for information perception and processing, we present a nanofluidic transistor based on a metal-organic framework membrane (MOFM) with optically modulated ion transport properties, which can mimic the functions of biological synapses.

Elucidation of the inhibitory effects of Jiedu Yizhi formula on neuronal apoptosis in the treatment of Alzheimer's disease based on network pharmacology and in vivo experiments.

Objective: This study aimed to investigate the mechanism of action of Jiedu Yizhi formula (JDYZF) in the treatment of Alzheimer's disease (AD) through network pharmacology, molecular docking technology, and in vivo experiments.

Method:  The main active ingredients of seven herbs in the Chinese Medicine compound JDYZF were identified by searching the TCMSP database, PubChem database, CNKI, and other sources. Disease targets of AD were obtained from databases such as OMIM, TDD, DisGeNET, and DrugBank.

Worldwide Research Trends and Regional Differences in the Development of Precision Medicine Under Data-Driven Approach: A Bibliometric Analysis.

Background: Precision medicine is an innovative approach that integrates genomics, clinical informatics, and proteomics to address both genetic and environmental factors in disease prevention and treatment. This bibliometric study analyzes research trends, collaboration patterns, and the unique characteristics of precision medicine across countries to inform future research directions.

Methods: A comprehensive search was conducted in the Web of Science Core Collection (1999-2022) database to identify publications related to precision medicine.