Machine learning for the prediction of mortality in patients with sepsis-associated acute kidney injury: a systematic review and meta-analysis.

Background: Predicting mortality in sepsis-related acute kidney injury facilitates early data-driven treatment decisions. Machine learning is predicting mortality in S-AKI in a growing number of studies. Therefore, we conducted this systematic review and meta-analysis to investigate the predictive value of machine learning for mortality in patients with septic acute kidney injury.

Forward calculation of airborne gamma 3D radiation fields based on rapid coupling method of point kernel integrals.

Airborne gamma ray spectrum detection technology is an effective means to measure the concentration and spatial distribution of natural radionuclides in environmental media such as surface rocks and soil during aviation flight. Therefore, it is vital to fully explore the radiation information related to mineralization in airborne gamma spectrometry data and explore the dose distribution law of gamma radiation field of radionuclides in the detection area. This paper is based on the theoretical calculation model of ground-air interface gamma radiation field.

PTSP-BERT: Predict the thermal stability of proteins using sequence-based bidirectional representations from transformer-embedded features.

Thermophilic proteins, mesophiles proteins and psychrophilic proteins have wide industrial applications, as enzymes with different optimal temperatures are often needed for different purposes. Convenient methods are needed to determine the optimal temperatures for proteins; however, laboratory methods for this purpose are time-consuming and laborious, and existing machine learning methods can only perform binary classification of thermophilic and non-thermophilic proteins, or psychrophilic and non-psychrophilic proteins. Here, we developed a deep learning model, PSTP-BERT, based on protein sequences that can directly perform Three classes identification of thermophilic, mesophilic, and psychrophilic proteins.

Deciphering the Significance of Platelet-Derived Chloride Ion Channel Gene (BEST3) Through Platelet-Related Subtypes Mining for Non-Small Cell Lung Cancer.

This study investigates platelet-related subtypes in non-small cell lung cancer (NSCLC) and seeks to identify genes associated with prognosis, focusing on the clinical significance of the chloride ion channel gene BEST3. We utilised sequencing and clinical data from GEO, TCGA and the Xena platform, building a risk model based on genetic features. TCGA and GSE37745 served as training cohorts, while GSE50081, GSE13213, GSE30129 and GSE42127 were validation cohorts.

Tough and Functional Hydrogel Coating by Electrostatic Spraying.

Hydrogel coatings impart superior surface properties to materials, but their application on large and complicated substrates is hindered by two challenges: limited wetting conditions and intricate curing processes. To overcome the challenges, lyophilized adhesive hydrogel powders (LAHPs) are developed, which consist of poly(acrylic acid-co-3-(trimethoxysilyl)propyl methacrylate) crosslinked with chitosan. These powders are electrostatic sprayed onto substrates to address wetting issues and rehydrated to form bulk hydrogel coatings to circumvent curing challenges.

Neural networks for predicting etiological diagnosis of uveitis.

Background/objectives: The large number and heterogeneity of causes of uveitis make the etiological diagnosis a complex task. The clinician must consider all the information concerning the ophthalmological and extra-ophthalmological features of the patient. Diagnostic machine learning algorithms have been developed and provide a correct diagnosis in one-half to three-quarters of cases.

Synthesis of novel chalcone/lipoic acid derivatives and cross-linked chitosan for preparation of multi-functional packaging film.

Chitosan is a bio-based material that is more environmentally friendly than traditional petroleum-based materials, but its biofilms often suffer from brittleness and limited antioxidant and antibacterial properties. To overcome these challenges, chemically modified chitosan is a key solution. Herein, a novel CS-LA/CHA films were prepared through a radical reaction of chitosan (CS), lipoic acid/chalcone derivative (LA/CHA) and N,N-methylene bisacrylamide (MBA).

Kouqiangjie Formula alleviates diabetic periodontitis by regulating alveolar bone homeostasis via miR-29a-3p-mediated Dkk-1/Wnt/β-catenin signaling pathway.

Ethnopharmacological Relevance: Diabetic periodontitis (DP) is a commonly co-occurring complication in diabetes patients characterized by advanced gum disease and bone resorption. Conventional treatment modalities often fail to adequately address the underlying biological disruptions caused by diabetes. The use of traditional medicinal formulas Kouqiangjie Formula (KQJF) potentially offers novel therapeutic approaches for DP, but its detailed regulatory mechanisms remain unclear.

Enhanced egg white powder through liquid-state ultrasound-heating pretreatment: Properties and digestibility.

Egg white protein's functional properties and digestibility can be significantly affected by processing methods. In this study, a novel combined ultrasound-heating (UH) pretreatment protocol was developed, where liquid egg white was subjected to ultrasonic treatment (0.4 W/mL, 10 min) followed by mild heating (72 °C, 10 min) prior to drying processes.

Inflammatory proteins and vestibular neuronitis: A Mendelian randomization study.

Previous studies have highlighted the correlation between inflammatory responses and vestibular neuritis (VN). The aim of Mendelian randomization was to assess the causal associations between 91 inflammatory proteins and vestibular neuritis comprehensively. By leveraging publicly accessible genetic datasets, we probed whether 91 inflammatory proteins serve as upstream determinants of vestibular neuritis.

Recent nanoengineered therapeutic advancements in sepsis management.

Sepsis (defined as sepsis 3.0) is a life-threatening organ dysfunction caused by a dysregulated host response to a variety of pathogenic microorganisms. Characterized by high morbidity and mortality, sepsis has become a global public health problem.

Hypothesis on the outflow of optic nerve cerebrospinal fluid in spaceflight associated neuro ocular syndrome.

Spaceflight-associated neuro-ocular syndrome (SANS) has been well documented in astronauts. However, its pathogenesis is not fully understood. New findings indicate the impaired outflow of the optic nerve cerebrospinal fluid may participate or contribute to some changes in SANS.

Enhancing knee osteoarthritis diagnosis with DMS: a novel dense multi-scale convolutional neural network approach.

Background: Osteoarthritis (OA) of the knee is a prevalent chronic degenerative joint condition that is having a growing impact on a global scale., posing a challenge in diagnosis which is often reliant on time-consuming and error-prone visual analysis by physicians. There is a critical need for an automated, efficient, and accurate diagnostic method to improve early detection and treatment.

[Integrated evidence chain: a new strategy and methodology for effectiveness e valuation of traditional Chinese medicines].

The evaluation of the effectiveness of traditional Chinese medicine(TCM) has long been a "bottleneck" issue that restricts the healthy development and internationalization of TCM. This article systematically analyzes the differences in diagnostic and treatment principles, material composition, new drug development pathways, efficacy cognition, and evaluation methodology between Chinese and Western medicine from the underlying logic of medical perspective. On this basis, it integrates the evidence elements of clinical experience, experimental research, and clinical trials, and for the first time proposes and establishes a new strategy and methodology for the evaluation of the effectiveness of TCM: the integrated evidence chain-based effectiveness evaluation of traditional Chinese medicine(iEC-Eff), forming an integrated evaluation and confirmation model of "clinical experience-experimental research-clinical trial" for the effectiveness of TCM.

[Prediction of anti-gastric cancer effect of Panacis Quinquefolii Radix by network pharmacology and in vivo validation].

This study investigated the anti-gastric cancer activity and mechanism of Panacis Quinquefolii Radix(Panax quinquefolium L.), and preliminarily compared the in vivo anti-gastric cancer efficacy of American-imported(JK-AG) and domestically produced(Shandong) Panacis Quinquefolii Radix decoctions(SD-AG). Based on network pharmacology predictions, a LUC-MGC803 cell ectopic gastric cancer nude mouse model was established.

[Mechanism of Qijia Rougan Decoction and its disassembled formulas on regulation of VEGF/SRF/c-FOS pathway and improvement of hepatic sinusoidal capillaryization in rats with hepatic fibrosis].

This study aims to reveal the mechanism of Qijia Rougan Decoction(QJRG) and its disassembled formulas in mitigating hepatic fibrosis via the vascular endothelial growth factor(VEGF)/serum response factor(SRF)/c-FOS pathway and hepatic sinusoidal capillarization. Male Sprague-Dawley(SD) rats were randomized into a control group(n=6) and a modeling group(n=28). Hepatic fibrosis was induced by subcutaneous injection of 40% carbon tetrachloride(CCl_4) in olive oil.

[Construction of Panax ginseng root yeast library and screening of interacting proteins of PgD14 and Pgpht2-1].

To construct a high-quality Panax ginseng cDNA library, transcription factors binding to the P. ginseng PgD14 gene promoter were screened by yeast one-hybrid, and proteins interacting with the P. ginseng Pgpht2-1 gene-encoded protein were screened by yeast two-hybrid.

[Network Meta-analysis of four traditional Chinese medicine injections combined with conventional western medicine in treatment of bronchopneumonia in children].

Based on network Meta-analysis, we compared the effects of four traditional Chinese medicine(TCM) injections combined with conventional treatment on clinical total effective rate, recovery time of body temperature, cough disappearance time, lung rale disappearance time, wheezing relief time, and lung shadow disappearance time of bronchopneumonia in children and evaluated the safety of the four TCM injections in the treatment of bronchopneumonia in children, so as to provide an evidence-based basis for the clinical use of medication for bronchopneumonia in children. Computer retrieval was performed on CNKI, Wanfang, VIP, SinoMed, PubMed, EMbase, Web of Science, and Cochrane Library databases for randomized controlled trial(RCT) on the treatment of bronchopneumonia in children with TCM injections. The search time limit was from the establishment of each database to 2 January 2024.

[Study on differences in metabolism and transcription of ginseng seeds after morphological post ripening by space flight].

To explore the difference in metabolism and transcription between seeds experiencing space flight and ground seeds after morphological post ripening, this study utilized ginseng seeds experiencing space flight and ground seeds as materials. Metabolomics and transcriptomics analyses were conducted using ultra-high performance liquid chromatography-mass spectrometry(UPLC-MS) and high-throughput transcriptome sequencing(RNA-seq) technologies, so as to identify differential terpenoid metabolites, differential endogenous hormones, and differentially expressed genes. The results showed that through metabolomics analysis, a total of 22 differential terpenoid metabolites were identified in the experimental and control groups, including chikusetsusaponin FK_7, ginsenoside F_2, ginseno-side K, majoroside R_1, ginsenoside Re_5, 12-hydroxyabietic acid, etc; through transcriptomics analysis, 15 differential terpenoid metabolism-related differentially expressed genes were identified in the experimental and control groups, including FCase, AACT, PMK, etc, and these genes were integrated into the pathway based on the MEP and MVA.

BCDB: A Dual-Branch Network Based on Transformer for Predicting Transcription Factor Binding Sites.

Transcription factor binding sites (TFBSs) are critical in regulating gene expression. Precisely locating TFBSs can reveal the mechanisms of action of different transcription factors in gene transcription. Various deep learning methods have been proposed to predict TFBS; however, these models often need help demonstrating ideal performance under limited data conditions.

Water-soluble polysaccharides from Torreya grandis nuts: Structural characterization and anti-inflammatory activity.

Torreya grandis (T. grandis) nuts are widely consumed as a functional food in China. In this study, we investigated the structural characteristics of T.