Metal-based smart nanosystems in cancer immunotherapy.

Metals are an emerging topic in cancer immunotherapy that have shown great potential in modulating cancer immunity cycle and promoting antitumor immunity by activating the intrinsic immunostimulatory mechanisms which have been identified in recent years. The main challenge of metal-assisted immunotherapy lies in the fact that the free metals as ion forms are easily cleared during circulation, and even cause systemic metal toxicity due to the off-target effects. With the rapid development of nanomedicine, metal-based smart nanosystems (MSNs) with unique controllable structure become one of the most promising delivery carriers to solve the issue, owing to their various endogenous/external stimuli-responsiveness to release free metal ions for metalloimmunotherapy.

SAGPNet: A shape-aware and adaptive strip self-attention guided progressive network for SAR marine oil spill detection.

The oil spill is a significant source of marine pollution, causing severe harm to marine ecosystems. Detecting oil spills accurately using synthetic aperture radar (SAR) images is crucial for protecting the environment. However, oil spill targets in SAR images are small and resemble other objects "look-alike".

The Safety and Efficacy of inactivated COVID-19 vaccination in couples undergoing assisted reproductive technology: A prospective cohort study.

Background: The safety of the COVID-19 inactivated vaccine on pregnancy outcomes in couples undergoing assisted reproductive technology remains uncertain due to limited and speculative evidence. Existing studies primarily focus on the vaccination status of females, with scant information available regarding the vaccination status of male partners. Moreover, there is minimal research tracking live birth outcomes.

Estimation of adaptive radiation therapy requirements for rectal cancer: a two-center study.

Background: Rectal cancer patients are potential beneficiaries of adaptive radiotherapy (ART) which demands considerable resources. Currently, there is no definite guidance on what kind of patients and when will benefit from ART. This study aimed to develop and validate a methodology for estimating ART requirements in rectal cancer before treatment course.

Dual-modality visual feature flow for medical report generation.

Medical report generation, a cross-modal task of generating medical text information, aiming to provide professional descriptions of medical images in clinical language. Despite some methods have made progress, there are still some limitations, including insufficient focus on lesion areas, omission of internal edge features, and difficulty in aligning cross-modal data. To address these issues, we propose Dual-Modality Visual Feature Flow (DMVF) for medical report generation.

Methyl jasmonate enabled maintained the postharvest flavor quality of ginger (Zingiber officinale roscoe) by reducing the loss of terpene volatile compounds.

Ginger, as a globally vital medicinal and food homologous crop, plays an irreplaceable role in human diet and healthcare. However, during the storage of ginger, the decline of physical properties and degradation of volatile flavor quality have emerged as an industrial concern that severely restricts the market value of the product. MeJA plays an essential role in extending fruit shelf life and regulate the synthesis of volatiles in horticultural products, yet its application in ginger remains unreported.

π-HuB: the proteomic navigator of the human body.

The human body contains trillions of cells, classified into specific cell types, with diverse morphologies and functions. In addition, cells of the same type can assume different states within an individual's body during their lifetime. Understanding the complexities of the proteome in the context of a human organism and its many potential states is a necessary requirement to understanding human biology, but these complexities can neither be predicted from the genome, nor have they been systematically measurable with available technologies.

Molecular basis of the CYFIP2 and NCKAP1 autism-linked variants in the WAVE regulatory complex.

The WAVE regulatory pentameric complex regulates actin remodeling. Two components of it (CYFIP2 and NCKAP1) are encoded by genes whose genetic mutations increase the risk for autism spectrum disorder (ASD) and related neurodevelopmental disorders. Here, we use a newly developed computational protocol and hotspot analysis to uncover the functional impact of these mutations at the interface of the correct isoforms of the two proteins into the complex.

Metagenomic analysis of Lactobacillus plantarum DACN768 inoculation effects on volatile flavor compounds, microbial succession, and flavor metabolic network in suansun.

This study analyzed volatile flavor compounds and microbial communities in Lactobacillus plantarum-fermented suansun (LPS), emphasizing the underlying metabolic pathways. A comparison with naturally fermented suansun (NFS) identified 56 volatile flavor compounds in LPS, detected via GC-MS, with levels peaking at 14 days. Alcohols, aldehydes, and esters were the primary components in both NFS and LPS.

A nonlinear relationship between alcohol consumption and cognitive function in elderly people: a population-based study from NHANES 2011-2014.

Objective: This study aims to explore the association between alcohol intake and cognitive function in elderly Americans, including potential nonlinear relationships and interactions across different subgroups.

Methods: The study analyzed data from the National Health and Nutrition Examination Survey (NHANES) from 2011 to 2014. The sample included 2,675 Americans aged 60 or older.

Zinc oxide nanoparticles improve lactation and metabolism in dairy goats by modulating the rumen microbiota.

This study aimed to investigate the effects of dietary supplementation with zinc oxide nanoparticles (ZnONPs) on lactation, rumen microbiota, and metabolomics in dairy goats. Twenty Guanzhong dairy goats, with comparable milk yields and in the mid-lactation stage, were randomly divided into two groups, with 10 goats in each group. The control group was fed a standard diet, while the ZnONP group received the control diet plus 30 mg ZnONPs/kg DM.

The Effects of High-Intensity Interval Training on Cardiometabolic Health in Children and Adolescents: A Systematic Review and Meta-Analysis.

High-intensity interval training (HIIT) interventions are typically prescribed according to several laboratory-based parameters and fixed reference intensities to accurately calibrate exercise intensity. Repeated printing efforts, or sprint interval training, is another form of HIIT that is prescribed without individual reference intensity as it is performed in maximal intensities. No previous study has performed a systematic review and meta-analysis to investigate the effect of HIIT and SIT on cardiometabolic health markers in children and adolescents.

Pressure-driven magnetic phase change in the CrI/BrCrI heterostructure.

Vertically stacked van der Waals (vdW) heterostructures not only provide a promising platform in terms of band alignment, but also constitute fertile ground for fundamental science and attract tremendous practical interest towards their use in various device applications. Beyond most two-dimensional (2D) materials, which are intrinsically non-magnetic, CrI is a novel material with magnetism dependent on its vdW-bonded layers, promising potential spintronics applications. However, for particular device applications, a heterostructure is commonly fabricated and it is necessary to examine the effect of the interface or contact atoms on the magnetic properties of the heterostructure.

Digital boundaries: A study on WeChat parent-child relationships among Chinese college students and their association with family factors.

Objective: This study aims to investigate the current state of WeChat parent-child relationships among college students and their association with family factors.

Methods: Using convenient sampling, 6159 students,age from 18 to 25,the participants were selected from colleges of Chengdu to complete a questionnaire survey on response and attitudes towards parents' WeChat friend requests, Family APGAR Index,Parental Management Scale,Family Conflict Scale,were used as measurement tools.

Results: Responses to parental WeChat friend requests showed significant positive correlations with higher levels of family function satisfaction (r = 0.

π-π stacking assisted regioselectivity regulation in palladium-catalyzed cyclization reactions: a theoretical study.

The regulation of regioselectivity is an objective often pursued by organic chemists, and the comprehension of its mechanisms is crucial for devising efficient synthetic pathways. In this report, we conducted theoretical calculations to explore the regioselectivity regulatory mechanisms of two palladium-catalyzed cyclization reactions. In these cyclization reactions, manipulating the structural differences in the reaction substrates leads to the formation of distinct products.

A new Fermatean fuzzy Spearman-like correlation coefficient and its application in evaluating insecurity problem via multi-criteria decision-making approach.

The problem of insecurity is a global crisis with adverse effects on lives and properties. Fermatean fuzzy correlation coefficient is a dependable method for handling imprecision, which is the main bottleneck of insecurity assessment. A number of Fermatean fuzzy correlation coefficient methods have been developed.

Attention model of EEG signals based on reinforcement learning.

Background: Applying convolutional neural networks to a large number of EEG signal samples is computationally expensive because the computational complexity is linearly proportional to the number of dimensions of the EEG signal. We propose a new Gated Recurrent Unit (GRU) network model based on reinforcement learning, which considers the implementation of attention mechanisms in Electroencephalogram (EEG) signal processing scenarios as a reinforcement learning problem.

Methods: The model can adaptively select target regions or position sequences from inputs and effectively extract information from EEG signals of different resolutions at multiple scales.

RC-DETR: Improving DETRs in crowded pedestrian detection via rank-based contrastive learning.

The variants of DEtection TRansformer (DETRs) have achieved impressive performance in general object detection. However, they suffer notable performance degradation in scenarios involving crowded pedestrian detection. This decline primarily occurs during the training phase, where DETRs are constrained solely by pedestrian labels.

Bifunctional bimetallic zeolitic imidazolate frameworks with a nanoflower structure for sodium-ion storage and non-enzymatic glucose sensing.

Although zeolitic imidazolate frameworks (ZIFs) are widely applied in the energy storage and catalysis fields, their multifunctional applications are extremely limited by their closed rhombohedral dodecahedron structure. Herein, a bimetallic CoFe-ZIF with an open nanoflower structure is synthesized a simple one-step stirring strategy at room temperature. CoFe-ZIF exhibits superior sodium-ion storage performance as the anode for sodium-ion batteries (SIBs) and glucose sensing performance as the electrode for a non-enzymatic glucose sensor, as a result of the synergistic effect between the metal ions and highly open nanoflower structure.