Core muscle strength and stability-oriented breathing training reduces inter-recti distance in postpartum women.

Objective: The aim of this study was to examine the impact of stability-focused core muscle strength training coupled with respiratory techniques on diminishing the inter-recti distance (IRD) among postpartum women.

Methods: A total of 106 women diagnosed with diastasis recti abdominis within 42 days following delivery were 1:1 randomly allocated into a control group ( = 53) and an intervention group ( = 53). Both groups underwent standard postpartum follow-up care and independently pursued self-directed rehabilitation exercises.

Identification of Anoikis-Related Genes in Driving Immune-Inflammatory Responses in Ulcerative Colitis Based on Bioinformatics Analysis and Machine Learning.

Background: Ulcerative colitis (UC) is a challenging chronic intestinal inflammation. Anoikis, a type of programmed cell death triggered by detachment from the extracellular matrix, is crucial in various physiological and pathological contexts. This study aims to explore the biological and clinical implications of anoikis-related genes (ARGs) in UC.

Medial temporal lobotomy in the treatment of medial temporal lobe epilepsy: a case series of 12 patients.

Purpose: This case series aimed to investigate the safety and efficacy of medial temporal lobotomy (MTL) in the treatment of medial temporal lobe epilepsy (MTLE).

Methods: We presented our experience with 12 MTLE patients who underwent MTL in our center from January 2018 to July 2021. The MTL technique involves suction-based removal of the amygdala, effectively severing the fibrous connections between the medial temporal lobe structures and the surrounding cortex while maintaining the integrity of the medial temporal lobe structures without removing the hippocampus as in selective amygdalohippocampectomy.

[Contamination of Conjugative Antibiotic-resistant Plasmids in Large-scale Livestock and Poultry Manure and Their Occurrence Characteristics of Antibiotic Resistance Gene].

The emergence and spread of antibiotic resistance in bacterial pathogens are now becoming a serious threat to public health globally. To study the occurrence and transfer characteristics of plasmid-mediated mobile antibiotic resistance genes （ARGs） in manure, antibiotic-resistant plasmids were captured from layers, broilers, and pig farms in Beijing, Hebei, and Ningxia provinces. The conjugative antibiotic-resistant plasmids （CARP） were captured by a filter membrane conjugation experiment, and the transfer frequency of plasmids from feces to recipient bacteria was tested.

Association between dietary zinc intake amount and prevalence of osteoporosis in middle-aged and elderly individuals: a cross-sectional study.

Objectives: This study was aimed to explore the link between dietary zinc intake amount and prevalence of osteoporosis in middle-aged and elderly individuals.

Methods: A total of 31,034 participants included in the National Health and Nutrition Examination Survey (NHANES) 2005-2010 were detected, and 7355 participants aged ≥ 45 years with integral data were enrolled. Demographic information and dietary intake data were collected via platform of NHANES, and the odds ratio (OR) and 95% confidence interval (CI) of each dietary zinc intake amount tertile category and each unit increase of zinc were analyzed using logistic regression models.

An 8-point scale lung ultrasound scoring network fusing local detail and global features.

Manual lung ultrasound (LUS) scoring is influenced by clinicians' subjective interpretation, leading to potential inconsistencies and misdiagnoses due to varying levels of experience. To improve monitoring of pulmonary ventilation and support early diagnosis, we propose an automated LUS scoring network based on an 8-point scale, named the detailed-global fusion residual network (DGF-ResNet). This network combines local and global features using the hybrid feature fusion Block, which includes the detail feature extraction (DFE) and global feature extraction (GFE) Modules.

Origin and enhancement of magnetoresistance in antiferromagnetic tunnel junctions: spin channel selection rules.

Antiferromagnetic materials offer superior stability and ultra-fast spin reversal, making them ideal for next-generation magnetoresistive memory. However, magnetoresistance in antiferromagnetic tunnel junctions (AFMTJs) is small because the two spin channels are typically identical. Here, we demonstrate that non-zero or even huge tunneling magnetoresistance (TMR) can be achieved in AFMTJs through a spin-channel selection model, specifically by manipulating the interface tilt angle (ITA) to control the different tunneling distances of the two spin channels.

Clinical evaluation of hypercoagulability in advanced malignant tumors using thromboelastography and conventional coagulation tests.

This study compares the diagnostic value of conventional coagulation tests (CCTs) and thromboelastography (TEG) for high blood coagulation states in advanced malignant tumors and to explore the diagnostic efficacy of their combination. In this study, 120 patients with advanced malignancy were divided into hypercoagulable state (n = 62) and non-hypercoagulable state (n = 58) groups. Traditional coagulation tests or CCTs (including prothrombin time, activated partial thromboplastin time, international normalized ratio, fibrinogen, D-dimer, and platelet count) were conducted.

High-Entropy Engineering for Multivalency-Induced Stability in SnSb-Based Anodes.

Achieving high energy density and long cycle life in alloy-type anodes remains a significant challenge due to the large volume changes during cycling. Here, we introduce a high-entropy engineering approach using SnSb-based oxides codoped with Ti and Al (SSBTA-600), designed to promote the formation of efficient oxygen vacancies at a calcination temperature of 600 . This approach results in remarkable performance with a capacity of 1012 at 0.

Identifying Key Biomarkers Related to Immune Response in the Progression of Diabetic Kidney Disease: Mendelian Randomization Combined With Comprehensive Transcriptomics and Single-Cell Sequencing Analysis.

Background: Renal failure related death caused by diabetic kidney disease (DKD) is an inevitable outcome for most patients. This study aimed to identify the critical genes involved in the onset and progression of DKD and to explore potential therapeutic targets of DKD.

Methods: We conducted a batch of protein quantitative trait loci (pQTL) Mendelian randomization analysis to obtain a group of proteins with causal relationships with DKD and then identified key proteins through colocalization analysis to determine correlations between variant proteins and disease outcomes.

T-betILC3 in peripheral blood is increased in the ankylosing spondylitis with high disease activity.

Objective: Ankylosing spondylitis (AS) is a chronic autoimmune disease characterized by systemic inflammation, often resulting in fusion of the spine and peripheral joints. This study aimed to investigate the role of innate lymphoid cells (ILCs) in AS patients with high disease activity.

Methods: Blood samples were collected from healthy controls and AS patients categorized by high or low disease activity.

Is classic papillary thyroid carcinoma definitely an "indolent cancer"?-a case of locally advanced classic occult papillary thyroid carcinoma: a case report.

Background: Occult papillary thyroid carcinoma (PTC) refers to the PTC accidentally found due to its occult lesions. Classic, as the most common subtype of PTC, is usually considered to have a low degree of malignancy and a favorable prognosis. Currently, the American Thyroid Association Management Guidelines adopted active surveillance (AS) as an alternative to immediate surgery in some low-risk PTC patients with less than 1 cm in diameter.

Mapping the priority conservation areas for three endangered Cupressaceae plants under climate change in China.

The establishment of conservation areas is an important strategy for endangered species conservation. In this study, we investigated the distributions of suitable habitat areas for three level 1 endangered Cupressaceae plants (, , and ) in China and used the Marxan model to delineate the priority conservation areas for each species. The results showed that had the broadest suitable growing area under the current climate in China and is followed by , with an area of 91 × 10 km, and had the smallest suitable habitat areas at only 7 × 10 km.

Sacubitril/Valsartan for Blood Pressure Lowering in Non-Dialysis-Dependent Chronic Kidney Disease Stage 3-5 Patients With Hypertension: A Multicenter Clinical Study.

To assess the effectiveness and safety of Sacubitril/Valsartan in reducing blood pressure in individuals with non-dialysis-dependent chronic kidney disease (NDD-CKD) Stage 3-5 complicated by hypertension. This study was a multicenter retrospective analysis conducted from March 1, 2022 to March 31, 2024, involving adult patients with NDD-CKD Stage 3-5 and hypertension, who received Sacubitril/Valsartan either as a monotherapy or in addition to current antihypertensive treatments that were insufficient. The main outcomes measured were blood pressure control, changes in blood pressure and laboratory parameters within 8 weeks post-treatment initiation, and incidence of adverse events.

Data-Driven Discovery of High-Performance Heterobilayer Transition Metal Dichalcogenide-Based Sliding Ferroelectrics.

The development of efficient sliding ferroelectric (FE) materials is crucial for advancing next-generation low-power nanodevices. Currently, most efforts focus on homobilayer two-dimensional materials, except for the experimentally reported heterobilayer sliding FE, MoS/WS. Here, we first screened 870 transition metal dichalcogenide (TMD) bilayer heterostructures derived from experimentally characterized monolayer TMDs and systematically investigated their sliding ferroelectric behavior across various stacking configurations using high-throughput calculations.

N-methyladenosine RNA methylation regulates microplastics-induced cell senescence in the rainbow trout liver.

Microplastics are prevalent in aquatic ecosystems, impacting various forms of aquatic life, including fish. In this study, Rainbow trout (Oncorhynchus mykiss) were exposed to two concentrations of microplastics (0 and 500 μg/L) over a 14-day period, during which a comprehensive analysis was conducted to assess the liver accumulation of microplastics and their effects on oxidative stress, the liver response, and transcriptomics. Our findings indicated that microplastics significantly accumulated in the liver and activated the antioxidant system in fish by enhancing the activity of antioxidant enzymes.

Estimation of TP53 mutations for endometrial cancer based on diffusion-weighted imaging deep learning and radiomics features.

Objectives: To construct a prediction model based on deep learning (DL) and radiomics features of diffusion weighted imaging (DWI), and clinical variables for evaluating TP53 mutations in endometrial cancer (EC).

Methods: DWI and clinical data from 155 EC patients were included in this study, consisting of 80 in the training set, 35 in the test set, and 40 in the external validation set. Radiomics features, convolutional neural network-based DL features, and clinical variables were analyzed.

Multi-scale multi-object semi-supervised consistency learning for ultrasound image segmentation.

Manual annotation of ultrasound images relies on expert knowledge and requires significant time and financial resources. Semi-supervised learning (SSL) exploits large amounts of unlabeled data to improve model performance under limited labeled data. However, it faces two challenges: fusion of contextual information at multiple scales and bias of spatial information between multiple objects.

Dysregulated transfer RNA-derived small RNAs as potential gastric cancer biomarkers.

Gastric cancer (GC) is the kind of carcinoma that has the highest rates of morbidity and death worldwide. In the early stages of GC, there is currently an absence of sensitive and specific biomarkers. The newly-discovered class of non-coding RNAs (ncRNAs) known as transfer RNA-derived small RNAs (tsRNAs) is highly expressed in bodily fluids and neoplastic cells.

Using hierarchical drift diffusion models to elucidate computational mechanisms of reduced reward sensitivity in adolescent major depressive disorder.

Background: Anhedonia-a core symptom of major depressive disorder (MDD)-is closely related to diminished reward sensitivity. Nonetheless, the psychopathological and computational mechanism underlying anhedonia in young patients with MDD remains unclear. Therefore, this study aims to investigate reward sensitivity in adolescents and young adults with MDD using computational modelling.

Prognostic Effect of Trigeminal Neuralgia Treated With Percutaneous Balloon Compression by Machine Learning-based Modeling of Radiomic Morphological Features.

Background: Trigeminal neuralgia (TN) is defined as spontaneous pain in the region of the trigeminal nerve that seriously affects a patient's quality of life. Percutaneous balloon compression of the trigeminal ganglion is a simple and reproducible surgical procedure that reduces the incidence of TN, but the postoperative outcome is poor in some patients, with it being ineffective or TN recurring.

Objectives: To establish a machine learning-based clinical imaging nomogram to predict the recurrence of trigeminal neuralgia in patients treated with percutaneous balloon compression.

Machine learning to predict radiomics models of classical trigeminal neuralgia response to percutaneous balloon compression treatment.

Background: Classic trigeminal neuralgia (CTN) seriously affects patients' quality of life. Percutaneous balloon compression (PBC) is a surgical program for treating trigeminal neuralgia. But some patients are ineffective or relapse after treatment.

Asymmetric Polarization Modulation of d-p Hybridization-Enhanced Bidirectional Sulfur Redox Kinetics with Heteronuclear Dual-Atom Catalysts.

Lithium sulfur batteries (LiSBs) represent a highly promising avenue for future energy storage systems, offering high energy density and eco-friendliness. However, the sluggish kinetics of the sulfur redox reaction (SRR) poses a significant challenge to their widespread applications. To tackle this challenge, we have developed an efficient heteronuclear dual-atom catalyst (hetero-DAC) that leverages surface charge polarization to enhance the asymmetric adsorption of sulfur intermediates.

Design of Intelligent Socks Suitable for Early Warning of Suffocation in Infants and Young Children.

The decline in birth rates has raised concerns about the safety of infants and young children (0-18 months), particularly those who suffer suffocation or even death during sleep from their own or external causes. How to ensure that infants and young children can safely pass through this dangerous period after birth is the focus of this project. This article focuses on sleeping infants and young children as the subject of research.