Ultrabroadband Photosensitivity and Frequency-Mixing in Anisotropic Weyl Semimetal NbNiTe.

Broadband anisotropic photodetectors show great promise for polarization-sensitive imaging and multispectral optoelectronic systems yet face critical challenges in material anisotropy modulation and broadband sensitivity. Weyl semimetals exhibit giant optical anisotropy and tunable heterojunction band alignment, enabling high-performance anisotropic photodetection. Herein, ultrabroadband PDs based on the NbNiTe (niobium nickel telluride), enabled by antenna integration and heterostructure engineering, achieve high sensitivity from visible to Terahertz (THz).

Antithrombotic strategies in adult COVID-19 patients: a systematic review and Bayesian network meta-analysis.

Objectives: To systematically compare the effects of various antithrombotic strategies on prespecified outcomes including 28-day all-cause mortality (primary outcome), major thrombotic events and major bleeding events (secondary outcomes) in adult COVID-19 patients.

Design: Systematic review and Bayesian network meta-analysis (NMA).

Data Sources: PubMed, Web of Science, Embase, Cochrane Library and ClinicalTrials.

Social support and self-management activation among older adult chronic disease patients in China: the chain mediating role of acceptance of illness and fatigue.

Background: With the rapid aging of the global population and the continuous increase in the incidence of chronic diseases among the older adult, self-management activation has become a key factor in improving patients' quality of life. This study examines the relationship between social support and self-management activation in older adult patients with chronic diseases, with a focus on the mediating roles of illness acceptance and fatigue within this framework.

Methods: A convenience sampling method was employed to recruit 317 older adult patients with chronic diseases from three communities in Hefei, Anhui Province, China, between August and November 2023.

Effects of water migration and grain structural evolution on substance dissolution and consistency variation during cooking of different foxtail millet varieties porridge.

Different millet varieties exhibit distinct porridge consistency, influencing consumer preferences. This study investigated water migration and grain structural evolution influencing solids leaching and consistency in five commercial foxtail millet varieties during cooking. Using texture analysis, low-field NMR, stereomicroscopy, and leaching assays, we quantified dynamic changes over a 40-min cooking period.

Identification and evaluation of phenotypic characters and genetic diversity analysis of 1,558 foxtail millet germplasm resources for conservation and breeding.

Foxtail millet () is a specialty mixed grain crop that originated in China. This study comprehensively assessed the phenotypic variability of 1,558 foxtail millet accessions to explore their genetic diversity and facilitate effective germplasm conservation. A total of 25 traits, including 11 quantitative and 14 qualitative, were investigated based on the quantization of physical and chemical descriptors and digital image analysis.

Discovery of Novel Imidazothiazole-Based Hydroxamic Acid Derivatives as Potent Indoleamine 2,3-Dioxygenase 1 and Histone Deacetylase 6 Dual Inhibitors.

In order to take advantage of both immunotherapeutic and epigenetic antitumor agents, a series of imidazothiazole-based hydroxamic acid derivatives were designed based on the pharmacophore fusion strategy and evaluated as potent IDO1 and HDAC6 dual inhibitors. Among these inhibitors, the most potent compound () showed considerable IDO1 inhibitory activity and a good selectivity profile for HDAC6 over the other HDAC isoforms. The intracellular inhibition of HDAC6 by was validated by Western blot analysis.

Effect of atmospheric-pressure cold plasma (ACP) treatment on the structure and function of WPI-EGCG complexes.

In this study, atmospheric pressure cold plasma (ACP) technology was used to assist in the construction of whey protein isolate-epigallocatechin gallate non-covalent complexes (WPI-EGCG). The mechanism by which ACP treatment influences the conformational relationship of the complexes was systematically analyzed. The EGCG binding ratio, free amino and sulfhydryl content, and sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) changes confirmed that the ACP treatment was able to significantly enhance the non-covalent interactions between WPI-EGCG through the oxidative modification and molecular cross-linking induced by the activated particles.

Barriers and Facilitators to Adherence to Exercise-Based Cardiac Rehabilitation Among Coronary Artery Disease Patients: A Scoping Review.

Background: Exercise-based Cardiac Rehabilitation (EBCR) is widely recognized as a crucial intervention for improving the health outcomes of patients with coronary artery disease (CAD). However, its implementation remains insufficient in many regions, and patient adherence to EBCR is generally low. This limitation hinders the full potential of rehabilitation, necessitating a deeper exploration of the factors influencing exercise adherence and the development of targeted intervention strategies.

Gender effects on non-gendered pronouns in Hindi and Mandarin Chinese.

We investigated strategies to avoid referential ambiguity in pronoun use. The non-linguistic competition account suggests that speakers avoid pronouns when referential candidates share the same gender, as increased similarity between them triggers a need for more specific referential information. We tested this hypothesis in Hindi and Mandarin Chinese, both of which use non-gendered pronouns.

FE-ToolKit: A Versatile Software Suite for Analysis of High-Dimensional Free Energy Surfaces and Alchemical Free Energy Networks.

Free energy simulations play a pivotal role in diverse biological applications, including enzyme design, drug discovery, and biomolecular engineering. The characterization of high-dimensional free energy surfaces underlying complex enzymatic mechanisms necessitates extensive sampling through umbrella sampling or string method simulations. Accurate ranking of target-binding free energies across large ligand libraries relies on comprehensive alchemical free energy calculations organized into thermodynamic networks.

Deep learning-based key point detection algorithm assisting vessel centerline extraction.

Background: Vessel centerline extraction assists in the quantitative analysis of plaque. Current algorithms generate significant errors for tortuous vessels, leading to inaccurate centerline extraction. This study proposed a key point detection algorithm to assist in vessel centerline extraction for the further quantitative analysis of plaque.

Effect of hypoglycemic agents with weight loss effect plus a high protein diet and moderate exercise on diabetes remission in adults with obesity and type 2 diabetes: a randomized controlled trial.

Background: This study aimed to explore the effects of hypoglycemic agents with weight loss effect plus a high protein diet and moderate exercise on weight loss and diabetes remission in adults with obesity and newly diagnosed prediabetes/type 2 diabetes (T2D).

Methods: Participants with obesity and newly diagnosed prediabetes or T2D (n = 61) were randomly allocated to standard treatment group (conventional medication and lifestyle guidance for 12 months) and intensive treatment group (in addition to conventional medication, a high protein diet and moderate exercise were given for 12 months).

Results: By month 12, 60 (98.

Aleatoric-Uncertainty-Aware Maximum Intensity Projection-Based GAN for 7T-Like Generation From 3T TOF-MRA.

Time-of-flight magnetic resonance angiography (TOF-MRA) is a prevalent vascular imaging technique for assessing cerebrovascular diseases. Compared to routine 3T TOF-MRA, 7T TOF-MRA provides vascular structures with a higher signal-to-noise ratio (SNR) and better vessel contrast, revealing greater vascular details. However, the inaccessibility of 7T scanners and specific physiological and technical concerns limit its clinical application.

One for multiple: Physics-informed synthetic data boosts generalizable deep learning for fast MRI reconstruction.

Magnetic resonance imaging (MRI) is a widely used radiological modality renowned for its radiation-free, comprehensive insights into the human body, facilitating medical diagnoses. However, the drawback of prolonged scan times hinders its accessibility. The k-space undersampling offers a solution, yet the resultant artifacts necessitate meticulous removal during image reconstruction.

Multistage Linear Frequency Scanning Mass Analysis Processed by Fractional Fourier Transform.

The common method of mass analysis in a linear ion trap mass spectrometer is to eject ions with different mass-to-charge ratios (/) at different times by resonance excitation. Ions are ejected onto an electron multiplier (EM), generating pulsed signals called the ejection signal. Typically, the ejection signal consisting of multiple pulses is smoothed into a wider Gaussian-like pulse due to the limited bandwidth of the electronic system.

Large-scale functional network connectivity mediate the associations of white matter lesions with executive functions and information processing speed in asymptomatic cerebral small vessels diseases.

Objective: To examine the role of the large-scale functional network connectivity between white matter lesions (WMLs) and cognitive behaviors in patients of asymptomatic cerebral small vascular diseases (CSVD).

Methods: The study sample consisted of 211 asymptomatic CSVD patients with WMLs. Large-scale internetwork and intranetwork functional connectivity (FC) were calculated using a combination of resting-state functional MRI data and independent component analysis.

Optical Microneedle-Enhanced Transdermal Light Scattering for In Situ Photothermal Therapy Targeting Basal-Layer Psoriasis.

Near-infrared (NIR) light-mediated photothermal and photodynamic therapies are promising for nonsurgical treatment of skin diseases. However, the skin's inherent light absorption, especially from melanin in the epidermis, attenuates NIR energy penetration, limiting photothermal efficacy and potentially causing off-target tissue damage. In this context, we developed subcutaneous light response-enhanced microneedles (SLE MNs) that allow basal layer-localized seeding of therapeutics and leverage physical channels to efficiently transmit light transdermally, facilitating in situ scattered light activation for enhanced photothermal and photodynamic therapy outcomes.

Expressing Porcine Reproductive and Respiratory Syndrome Virus (PRRSV) Single-Chain Antibody Can Inhibit PRRSV Replication and Change the Intestinal Flora Structure of Piglets.

Porcine reproductive and respiratory syndrome (PRRS) is an infectious disease that can cause reproductive disorders in sows and affect the breathing of piglets, seriously endangering pig breeding worldwide. In this study, NC8 was used as the expression delivery vector of foreign proteins, and a single-chain antibody was designed based on an mAb-PN9cx3 sequence. Three recombinant strains of , namely, NC8/pSIP409-pgsA'-PN9cx3-scFV(E), NC8/pSIP409-pgsA'-PN9cx3-HC(E), and NC8/pSIP409-pgsA'-PN9cx3-LC(E), were successfully constructed.

A Protocol for Body MRI/CT and Extraction of Imaging-Derived Phenotypes (IDPs) from the China Phenobank Project.

Currently, standard protocols for body imaging and corresponding image processing pipelines in population-based cohort studies are unavailable, limiting the applications of body imaging. Based on the China Phenobank Project (CHPP), the present study described a body imaging protocol for multiple organs, including cardiac structures, liver, spleen, pancreas, kidneys, lung, prostate, and uterus, and the corresponding image processing pipelines promoted its development. Briefly, the body imaging protocol comprised a 40-min cardiac magnetic resonance imaging (MRI) scan, a 5-min computed tomography (CT) scan, a 20-min abdominal MRI scan, and a 10-min pelvic MRI scan.

Latent profile and determinants of self-management behaviors among older adult patients with chronic diseases: a cross-sectional study.

Objective: To explore latent profiles of self-management behaviors in older adult patients with chronic diseases and identify the factors that influence different profiles, guiding targeted interventions.

Methods: This study used convenience sampling to recruit 536 older adult patients with chronic diseases from three tertiary hospitals in Anhui Province between October 2023 and May 2024. Data were collected using a general information questionnaire, the age-adjusted Charlson Comorbidity Index (aCCI), the Chronic Disease Self-Management Behavior Scale, the Chronic Disease Management Self-Efficacy Scale, the Psychological Status Scale, the Digital Health Literacy Scale, and the Social Support Scale.

The state-of-the-art in cardiac MRI reconstruction: Results of the CMRxRecon challenge in MICCAI 2023.

Cardiac magnetic resonance imaging (MRI) provides detailed and quantitative evaluation of the heart's structure, function, and tissue characteristics with high-resolution spatial-temporal imaging. However, its slow imaging speed and motion artifacts are notable limitations. Undersampling reconstruction, especially data-driven algorithms, has emerged as a promising solution to accelerate scans and enhance imaging performance using highly under-sampled data.

CMRxRecon2024: A Multimodality, Multiview k-Space Dataset Boosting Universal Machine Learning for Accelerated Cardiac MRI.

The released CMRxRecon2024 dataset is currently the largest and most protocol-diverse publicly available k-space dataset including multimodality and multiview cardiac MRI data from 330 healthy volunteers, and each one covers standardized and commonly used clinical protocols.

tDDA: A Targeted Data-Dependent Acquisition Mode for Rapid Screening of Targets in Complex Matrices.

Miniaturized mass spectrometers offer significant potential for in situ analysis due to their high specificity and portability. In traditional data-dependent acquisition (DDA) mode, precursor ions for tandem analysis are selected based on the full-scan mass spectrum. However, in situ applications often require the direct analysis of complex samples without extensive sample pretreatment, making them susceptible to chemical noise that can result in false negatives.

On-Chip Metamaterial-Enhanced Mid-Infrared Photodetectors with Built-In Encryption Features.

The integration of mid-infrared (MIR) photodetectors with built-in encryption capabilities holds immense promise for advancing secure communications in decentralized networks and compact sensing systems. However, achieving high sensitivity, self-powered operation, and reliable performance at room temperature within a miniaturized form factor remains a formidable challenge, largely due to constraints in MIR light absorption and the intricacies of embedding encryption at the device level. Here, a novel on-chip metamaterial-enhanced, 2D tantalum nickel selenide (Ta₂NiSe₅)-based photodetector, meticulously designed with a custom-engineered plasmonic resonance microstructure to achieve self-powered photodetection in the nanoampere range is unveiled.