Underwater Instant Adhesive Hydrogel Interfaces for Robust Biosensing on Diverse Species.

Hydrogel-assisted soft biosensors have emerged as transformative platforms for multimodal physiological monitoring in amphibious environments. However, developing instant underwater adhesive, scalable manufacturing, and robust interfaces for long-term continuous multi-physiological bioelectronics remains challenging. Here, a universal and facile fabrication strategy is presented that overcomes these limitations through molecular entanglement engineering to fabricate instant underwater adhesion hydrogel interfaces, exhibiting rapid, strong interfacial toughness over 230 J•m within 10 s.

Rational design of high visible light-harvesting photoelectrode for simultaneous detection of enrofloxacin residue markers with a dual-channel cathodic photoelectrochemical aptasensing approach.

It is imperative to develop convenient methodology to enable the simultaneous detection of enrofloxacin (ENR) residue markers coexisted in the aquatic environment. To this end, an efficient dual-channel photoelectrochemical (PEC) aptasensing approach is presented for the detection of trace ENR residue markers simultaneously through a single signal acquisition. Primarily, cathodic PEC aptasensing platform with superior anti-interference capability and high sensitivity was designed and constructed on the basis of the high visible light-harvesting CuInS photocathode and BiS/CN photoanode; and the simultaneous detection of ENR residue markers was then realized by the spatial resolution of aptasensing interfaces.

Functional characterization of a novel plant growth-promoting rhizobacterium enhancing root growth and salt stress tolerance.

Plant growth-promoting rhizobacteria (PGPR) are soil microorganisms through which phytohormones and other bioactive compounds are produced, thereby enhancing plant growth and stress tolerance. In this study, a novel PGPR strain was identified from the rhizosphere of Lycium chinense seedlings, which produce protein-rich fruit. Whole-genome sequencing and annotation revealed that the genome of this strain, designated Pseudomonas sp.

Distribution-Aware Knowledge Aligning and Prototyping for Non-Exemplar Lifelong Person Re-Identification.

Lifelong person re-identification (LReID) suffers from the catastrophic forgetting problem when learning from non-stationary data streams. Existing exemplar-based and knowledge distillation-based LReID methods encounter data privacy and limited acquisition capacity, respectively. In this paper, we introduce the prototype, which is under-investigated in LReID, to better balance knowledge retention and acquisition.

Branched Molecule Carrying Multiple Amide Groups for Accelerating Zinc Anode, Testified by In Situ Monitoring and Improved Batteries.

Rechargeable aqueous zinc-ion batteries (ZIBs) have been recognized as a promising next generation of second-level energy storage systems, with fine characteristics of pronounced low cost and safety. However, zinc dendrite growth, zinc corrosion, and side reactions on the Zn anode surface in aqueous electrolyte cause severe challenges for the practical application of aqueous ZIBs. Inspired by protein facial film, this study proposed to employ low concentrations (10 mol/L magnitude, 5.

Improving the Readability of Institutional Heart Failure-Related Patient Education Materials Using GPT-4: Observational Study.

Background: Heart failure management involves comprehensive lifestyle modifications such as daily weights, fluid and sodium restriction, and blood pressure monitoring, placing additional responsibility on patients and caregivers, with successful adherence often requiring extensive counseling and understandable patient education materials (PEMs). Prior research has shown PEMs related to cardiovascular disease often exceed the American Medical Association's fifth- to sixth-grade recommended reading level. The large language model (LLM) ChatGPT may be a useful tool for improving PEM readability.

Learning Guided Implicit Depth Function With Scale-Aware Feature Fusion.

Recently, the single image super-resolution based on implicit image function is a hot topic, which learns a universal model for arbitrary upsampling scales. By contrast, color-guided depth map super-resolution is less explored based on implicit function learning. The related research faces three questions.

Long Short-Term Knowledge Decomposition and Consolidation for Lifelong Person Re-Identification.

Lifelong person re-identification (LReID) aims to learn from streaming data sources step by step, which suffers from the catastrophic forgetting problem. In this paper, we investigate the exemplar-free LReID setting where no previous exemplar is available during the new step training. Existing exemplar-free LReID methods primarily adopt knowledge distillation to transfer knowledge from an old model to a new one without selection, inevitably introducing erroneous and detrimental information that hinders new knowledge learning.

Human-Centric Fine-Grained Action Quality Assessment.

Existing action quality assessment (AQA) methods mainly learn deep representations at the video level to score diverse actions. Due to the lack of a fine-grained understanding of actions in videos, they suffer from low credibility and accuracy, thus insufficient for stringent applications, such as competitive sports and sports injury rehabilitation. We argue that a fine-grained understanding of actions requires the model to parse actions in semantics, time, and space, which is the key to the credibility and accuracy of the AQA technique.

Renal hilar tumor with situs inversus- a case report and systematic review.

Total situs inversus is a rare congenital condition (1 in 25,000) with mirror-image organ positioning, complicating nephrectomies. A 68-year-old female with situs inversus presented with a right renal hilum mass incidentally discovered. Imaging revealed a tumor difficult to distinguish from the renal artery and an elongated right renal vein mimicking left-sided anatomy.

The Economic Burden of Colorectal Cancer in Type 2 Diabetes Mellitus (T2DM) in Shanghai, China.

Objective: This study aimed to analyze disease cost levels among colorectal cancer (CRC) patients, examining differences in disease costs between those with type 2 diabetes mellitus (T2DM) and those without T2DM while considering various demographic characteristics.

Methods: The study included respondents from colorectal cancer patients diagnosed and managed within the population-based cancer registry system of the Shanghai Municipal Center for Disease Control and Prevention from 2020 to 2022. Diabetic colorectal cancer cases were matched with nondiabetic colorectal cancer controls using propensity scores, maintaining a 1:1 ratio between cases and controls; bias for the majority of the matched variables is below 10%.

Carbon emission effects of land use change in Nanchang, West of Central China Region.

Urban development leads to frequent changes in land use, which leads to temporal and spatial variation of carbon emissions. In this study, land use change data, economic and social data, and energy consumption data of Nanchang City from 2000 to 2020 were used to estimate the spatio-temporal evolution of carbon emissions in Nanchang City, and the LMDI model was used to identify the main driving factors affecting the change of carbon emissions in Nanchang City. It is found that from 2000 to 2020, the carbon emission of Nanchang City has a great change, showing a "parabolic" change law, that is, rising first and then decreasing.

Comparative analysis of chloroplast genomes reveals molecular evolution and phylogenetic relationships within the Papilionoideae of Fabaceae.

Background: The structure of chloroplast genomes (cpDNAs) in Fabaceae (Fab.) has undergone significant evolutionary modifications. Within the Papilionoideae (Pap.

Real-Time 5-Hydroxyindoleacetic Acid Monitoring in Guinea Pig Brain Using a Molecular Imprinted Polymer-Based Galvanic Redox Potentiometric Sensor.

5-Hydroxyindoleacetic acid (5-HIAA), a vital metabolite of serotonin (5-HT), is crucial for understanding metabolic pathways and is implicated in various mental disorders. In situ monitoring of 5-HIAA is challenging due to the lack of affinity ligands and issues with electrochemical fouling. We present an advanced sensing approach that integrates customizable molecular imprinting polymer (MIP) with self-driven galvanic redox potentiometry (GRP) for precise, real-time in vivo monitoring of 5-HIAA.

Noradrenergic inputs from the locus coeruleus to anterior piriform cortex and the olfactory bulb modulate olfactory outputs.

Norepinephrine (NE) released from locus coeruleus (LC) noradrenergic (NAergic) neurons plays a pivotal role in the regulation of olfactory behaviors. However, the precise circuits and receptor mechanisms underlying this function are not well understood. Here, in DBH-Cre mice model, we show that LC NAergic neurons project directly to both anterior piriform cortex (aPC) and the olfactory bulb (OB).

Photoactive gate material-based organic photoelectrochemical transistor sensors: working principle and representative applications.

Organic photoelectrochemical transistor (OPECT)-based sensors that use light-sensitive semiconductor materials as the gate have recently garnered increasing interest in various fields ranging from biological analysis to environmental monitoring. However, so far, the working principle and representative applications of OPECT sensors have not been discussed and reviewed systematically. In this review, we aim to present a comprehensive overview of the working principle and sensing mechanisms of OPECT-based sensors and various inorganic and organic photoactive gate materials used in OPECTs, with a focus on the representative applications and recent progress of these sensors in the fields of enzyme sensing, immunoassays, and nucleic acid-based sensing.

Improving plant salt tolerance through sp. nov., isolated from the halophyte .

, commonly known as glasswort, thrives in reclaimed land and coastal areas with high salinity, demonstrating remarkable adaptation to the arid conditions of such environments. Two aerobic, Gram-stain-negative, non-motile, rod-shaped bacterial strains, designated TR-M5 and TR-M9, were isolated from the root of plants. These bacteria exhibit plant growth-promoting and salt tolerance-enhancing abilities, which have not been reported in other species of the genus.

Evaluating for Evidence of Sociodemographic Bias in Conversational AI for Mental Health Support.

The integration of large language models (LLMs) into healthcare highlights the need to ensure their efficacy while mitigating potential harms, such as the perpetuation of biases. Current evidence on the existence of bias within LLMs remains inconclusive. In this study, we present an approach to investigate the presence of bias within an LLM designed for mental health support.

sp. nov., isolated from the rhizospheric soils of bell pepper ( L.).

Two separate bacterial strains, PMTSA4 and PMR2A8, were isolated from the rhizospheric soils of bell pepper plants grown in a plant nursery. These strains are Gram-negative, non-motile and rod-shaped and grow in aerobic conditions. They exhibit a positive reaction for catalase activity but negative results for oxidase activity.

SIM-OFE: Structure Information Mining and Object-Aware Feature Enhancement for Fine-Grained Visual Categorization.

Fine-grained visual categorization (FGVC) aims to distinguish visual objects from multiple subcategories of the coarse-grained category. Subtle inter-class differences among various subcategories make the FGVC task more challenging. Existing methods primarily focus on learning salient visual patterns while ignoring how to capture the object's internal structure, causing difficulty in obtaining complete discriminative regions within the object to limit FGVC performance.

Effect of water Resource utilization in Poyang lake area on carbon emissions based on decoupling theory.

The utilization of regional water resources has the potential to impact carbon emissions. Maintaining a decoupled relationship between water resources and carbon emissions facilitates harmonious regional development. Understanding the mechanism of their coordination is conducive to achieving the "Double Carbon" goal and control of regional carbon emissions and water resource consumption.

An Exosuit System With Bidirectional Hand Support for Bilateral Assistance Based on Dynamic Gesture Recognition.

Hand motor impairment has seriously affected the daily life of the elderly. We developed an electromyography (EMG) exosuit system with bidirectional hand support for bilateral coordination assistance based on a dynamic gesture recognition model using graph convolutional network (GCN) and long short-term memory network (LSTM). The system included a hardware subsystem and a software subsystem.

Image Super-Resolution via Efficient Transformer Embedding Frequency Decomposition With Restart.

Recently, transformer-based backbones show superior performance over the convolutional counterparts in computer vision. Due to quadratic complexity with respect to the token number in global attention, local attention is always adopted in low-level image processing with linear complexity. However, the limited receptive field is harmful to the performance.