Multidisciplinary Approach Improves Eradication Rate and Safety in Refractory Helicobacter pylori Infection.

Introduction: Helicobacter pylori (HP) infection is prevalent worldwide and contributes to various gastrointestinal diseases. Eradication therapy is crucial in managing HP infection, but antibiotic resistance has led to refractory cases, complicating treatment outcomes and increasing the risk of adverse events. This study aimed to evaluate the effectiveness of a multidisciplinary approach, termed HP Multidisciplinary Team (MDT) Clinic, in improving eradication rates and safety in patients with refractory HP infection.

[Oct4 promotes the progression and radioresistance of esophageal squamous cell carcinoma by regulating epithelial-mesenchymal transition].

To explore the specific role and molecular mechanism of octamer-binding transcription factor 4 (Oct4) in promoting the progression of esophageal squamous cell carcinoma and radioresistance. The Gene Expression Profile Data Dynamic Analysis (GEPIA) database was used to analyze the expression differences of the Oct4 gene in different types of tumor tissues and their corresponding adjacent normal tissues. The clinical data and surgical resection tissue specimens of 196 patients with esophageal squamous cell carcinoma who received surgery combined with radiotherapy at Henan Provincial Chest Hospital from January 2013 to May 2022 were collected.

A machine learning approach to identify stride characteristics predictive of musculoskeletal injury, enforced rest and retirement in Thoroughbred racehorses.

Decreasing speed and stride length over successive races have been shown to be associated with musculoskeletal injury (MSI) in racehorses, demonstrating the potential for early detection of MSI through longitudinal monitoring of changes in stride characteristics. A machine learning (ML) approach for early detection of MSI, enforced rest, and retirement events using this same horse-level, race-level, and stride characteristic data across all race sectionals was investigated. A CatBoost model using features from the two races prior to an event had the highest classification performance (sensitivity score for MSI, enforced rest and retirement equal to 0.

A Rat Model of Compound Acne.

Acne vulgaris is a prevalent chronic skin condition characterized by the presence of comedones, papules, and pustules on the face, neck, and chest. To simulate the inflammation of acne vulgaris, this protocol details an approach to establish a compound acne rodent model by inducing acne inflammation in rat ears using oleic acid and Cutibacterium acnes (C. acnes).

Genetically-predicted effects of lifestyle factors on frailty: Evidence from Mendelian randomization study.

Objective: To evaluate the causal relationships between genetically predicted lifestyle factors and frailty using Mendelian randomization(MR).

Methods: We extracted summary data from genome-wide association studies conducted among individuals of European ancestry, examining lifestyle factors such as smoking, alcohol consumption, physical activity, and sedentary behaviors. The outcomes were assessed using Fried Frailty Score (FFS) and Frailty Index (FI).

Variational quantum imaginary time evolution for matrix product state Ansatz with tests on transcorrelated Hamiltonians.

The matrix product state (MPS) Ansatz offers a promising approach for finding the ground state of molecular Hamiltonians and solving quantum chemistry problems. Building on this concept, the proposed technique of quantum circuit MPS (QCMPS) enables the simulation of chemical systems using a relatively small number of qubits. In this study, we enhance the optimization performance of the QCMPS Ansatz by employing the variational quantum imaginary time evolution (VarQITE) approach.

[Effects of Act12 on root morphogenesis and medicinal quality of ].

As a kind of tonic Chinese medicine with dual use in medicine and food, there is a large market demanding for . Taking one-year-old seedlings as materials, we conducted a field experiment to examine the effect of compound fertilizer (750 kg·hm), organic fertilizer (15 t·hm) and Act12 agent (9 t·hm Act12+10 t·hm organic fertilizer) treatments on root morphology, secondary metabolite content and expression level of lobetyolin metabolic pathway gene of , to clarify the effects of three fertilizers on the root morphology and medicinal quality. Compared to the control (10 t·hm organic fertilizer, conventional fertilization), three fertilization treatments could promote root growth and formation.

[Analysis of the effect of early subcutaneous specific immunotherapy on the levels of dust mite allergen-specific antibodies and polyunsaturated fatty acid metabolism].

To investigate the effects of subcutaneous immunotherapy (SCIT) on patients' immune markers and metabolic levels in the early stage of allergen treatment, and to gain insight into the role of SCIT in regulating immune responses and metabolic levels, so as to provide reference data for the further discovery of potential biomarkers. A longitudinal study was used to include 40 subjects who underwent SCIT with dust mite allergens in the Department of Pediatrics of the First Affiliated Hospital of Guangzhou Medical University between November 2017 and February 2022, including 20 subjects each of single mite subcutaneous immunotherapy (SM-SCIT) and double mite subcutaneous immunotherapy (DM-SCIT). In this study, levels of dust mite allergen-specific antibodies and polyunsaturated fatty acid metabolism were measured before and 12 months after treatment, while pulmonary function tests were performed.

Feature-Based Molecular Network-Assisted Cannabinoid and Flavonoid Profiling of Leaves and Their Antioxidant Properties.

() leaves are rich in cannabinoids and flavonoids, which play important antioxidant roles. Since the environmental factors may influence the accumulation of antioxidants in herbal medicines, which affects their activity, this study aimed to investigate the correlation between the chemical composition of leaves and their geographical origin and antioxidant activity. Firstly, a high-resolution mass spectrometry method assisted by semi-quantitative feature-based molecular networking (SQFBMN) was established for the characterization and quantitative analysis of leaves from various regions.

Improved optimization for the neural-network quantum states and tests on the chromium dimer.

The advent of Neural-network Quantum States (NQS) has significantly advanced wave function ansatz research, sparking a resurgence in orbital space variational Monte Carlo (VMC) exploration. This work introduces three algorithmic enhancements to reduce computational demands of VMC optimization using NQS: an adaptive learning rate algorithm, constrained optimization, and block optimization. We evaluate the refined algorithm on complex multireference bond stretches of H2O and N2 within the cc-pVDZ basis set and calculate the ground-state energy of the strongly correlated chromium dimer (Cr2) in the Ahlrichs SV basis set.

Correction: Halogen-bonded charge-transfer co-crystal scintillators for high-resolution X-ray imaging.

[This corrects the article DOI: 10.1039/D4SC00735B.].

Halogen-bonded charge-transfer co-crystal scintillators for high-resolution X-ray imaging.

The development of high-quality organic scintillators encounters challenges primarily associated with the weak X-ray absorption ability resulting from the presence of low atomic number elements. An effective strategy involves the incorporation of halogen-containing molecules into the system through co-crystal engineering. Herein, we synthesized a highly fluorescent dye, 2,5-di(4-pyridyl)thiazolo[5,4-]thiazole (PyTTz), with a fluorescence quantum yield of 12.

Pelvic packing or endovascular interventions: Which should be given priority in managing hemodynamically unstable pelvic fractures? A systematic review and a meta-analysis.

Background: Pelvic fractures in trauma patients can be associated with substantial massive hemorrhage. Hemostasis interventions mainly consist of pelvic packing (PP) and endovascular intervention (EI), such as angiography-embolization (AE) and resuscitative endovascular balloon occlusion of the aorta (REBOA). Whether PP or EI should be prioritized for the management of hemodynamic unstable patients with pelvic fractures remains under debate.

Mechanochemical Synthesis of Cuprous Complexes for X-ray Scintillation and Imaging.

Cuprous complex scintillators show promise for X-ray detection with abundant raw materials, diverse luminescent mechanisms, and adjustable structures. However, their synthesis typically requires a significant amount of organic solvents, which conflict with green chemistry principles. Herein, we present the synthesis of two high-performance cuprous complex scintillators using a simple mechanochemical method for the first time, namely [CuI(PPh)R] (R = 4-phenylpyridine hydroiodide (PH, Cu-1) and 4-(4-bromophenyl)pyridine hydroiodide (PH-Br, Cu-2).

A bibliometric and thematic analysis of the trends in the research on extract from 1985 to 2022.

Background: extract (GBE), a complementary and alternative medicine, has been widely used for disorders such as brain infarction, dementia, and coronary heart disease, in recent decades. Given its widespread clinical use, GBE has always been a vital research topic. However, there are no bibliometric analyses on this topic; furthermore, published reviews of GBE focus only on a specific research field or lack scientific and systematic evaluation.

A Nonstochastic Optimization Algorithm for Neural-Network Quantum States.

Neural-network quantum states (NQS) employ artificial neural networks to encode many-body wave functions in a second quantization through variational Monte Carlo (VMC). They have recently been applied to accurately describe electronic wave functions of molecules and have shown the challenges in efficiency compared with traditional quantum chemistry methods. Here, we introduce a general nonstochastic optimization algorithm for NQS in chemical systems, which deterministically generates a selected set of important configurations simultaneously with energy evaluation of NQS.

[Analysis and prospects of common problems in clinical data mining of traditional Chinese medicine prescriptions].

Mining data from traditional Chinese medicine(TCM) prescriptions is one of the important methods for inheriting the experience of famous doctors and developing new drugs. However, current research work has problems such as to be optimized research plans and non-standard statistics. The main problems and corresponding solutions summarized by the research mainly include four aspects.

Identification and experimental validation of key extracellular proteins as potential targets in intervertebral disc degeneration.

Aims: This study aimed, through bioinformatics analysis and in vitro experiment validation, to identify the key extracellular proteins of intervertebral disc degeneration (IDD).

Methods: The gene expression profile of GSE23130 was downloaded from the Gene Expression Omnibus (GEO) database. Extracellular protein-differentially expressed genes (EP-DEGs) were screened by protein annotation databases, and we used Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) to analyze the functions and pathways of EP-DEGs.

[Pathological classification of malignant peritoneal mesothelioma and comparative analysis with peritoneal carcinomatosis].

To analyze the pathological classification of malignant peritoneal mesothelioma (MPeM) and screen the immunohistochemical markers that can distinguish MPeM from peritoneal metastatic carcinoma (PC) . In June 2020, the pathological results of peritoneal biopsy of 158 MPeM and 138 PC patients from Cangzhou Central Hospital, Cangzhou People's Hospital, and Cangzhou Hospital of Integrated Traditional Chinese and Western Medicine from May 2011 to July 2019 were retrospectively analyzed, and the pathological classifications of MPeM in Cangzhou were summarized. Immunohistochemical markers of MPeM and PC patients were analyzed, and receiver operating characteristic curve (ROC curve) was drawn for differential diagnosis of MPeM and PC.

The Effects of Crystalline Admixture on the Self-Healing Performance and Mechanical Properties of Mortar with Internally Added Superabsorbent Polymer.

Crystalline admixture (CA) can be incorporated into concrete to achieve self-healing of concrete cracks. In this study, both CA and superabsorbent polymer (SAP) were used as self-healing agents to investigate the effects of CA on the self-healing performance and mechanical properties of mortar with internally added SAP at different self-healing ages. The healing effect of cracks in mortar is assessed by crack observation and impermeability.

[Research summary of chemical constituents and pharmacological effects of Panax notoginseng and predictive analysis on its Q-markers].

Panax notoginseng contains triterpene saponins, flavonoids, amino acids, polysaccharides, volatile oil and other active components, which have the effects of promoting blood circulation, stopping bleeding, removing blood stasis, etc. This study summarized the herbal research, chemical constituents and main pharmacological activities of P. notoginseng, and based on the theory of Q-markers of traditional Chinese medicine, predicted and analyzed the Q-markers of P.

Methyltransferase K-D-K-E motif influences the intercellular transmission of Newcastle disease virus.

We previously demonstrated that two methyltransferase motifs, K-D-K-E and G-G-D, affect the pathogenicity of Newcastle disease virus (NDV) by regulating mRNA translation and virus transmission. Here, we compared the infectious centre area produced by the NDV strain, rSG10, and methyltransferase motifs mutant rSG10 strains in DF-1 cells. The results show that intercellular transmission was attenuated by methyltransferase motif mutations.

[Traditional Chinese medicine microbiomics and its research strategies].

The tight relationships between microbiome and traditional Chinese medicine(TCM)have been widely recognized. New technologies, results, and theories are emerging in the field of microbiomics in recent years with the advances in high-throughput sequencing and multi-omics technologies. Based on the previous research, the present study has proposed the concept of TCM microbiomics(TCMM), which is an interdisciplinary subject aiming at elucidating the functions and applications of microbiome in the areas of herb resources, herb processing, herb storage, and clinical effects by using modern technology of biology, ecology, and informatics.