Monitoring Nasal Breathing Using an Adjustable FBG Sensing Unit.

We have developed an adjustable optical fiber Bragg grating (FBG) sensing unit for monitoring nasal breathing. The FBG sensing unit can accommodate individuals with varying facial dimensions by adjusting the connecting holes of the ear hangers. We employed two FBG configurations: an encapsulated FBG within a silicon tube (FBG) and a bare FBG (FBG).

Research on the Monitoring Method of the Refuse Intake Status of a Garbage Sweeper That Is Based on the Synergy of a Wind Speed Sensor and an Ultrasonic Sensor.

Garbage sweepers are crucial to municipal cleaning; however, they frequently encounter two significant challenges during their operations: overflowing rubbish storage compartments and vacuum duct clogging. The conventional method of monitoring overflowing refuse and clogging vacuum ducts is based on manual labour, which is inefficient and susceptible to error. Consequently, this investigation suggests an automated monitoring approach that is predicated on the integration of wind speed sensors and ultrasonic sensors.

BmLid has histone lysine demethylase activity and regulates oogenesis in the silkworm, Bombyx mori.

Lepidoptera, a major threat to global agriculture, possesses robust reproductive strategies, making understanding reproduction crucial for developing sterile insect techniques (SIT). The silkworm (Bombyx mori), a model lepidopteran, exhibits polytrophic meroistic oogenesis involving trophocyte-mediated nutrient transport and vitellogenin receptor (VgR)-dependent yolk protein uptake. However, epigenetic regulation of these processes remains unclear.

Plant attribute extraction: An enhancing three-stage deep learning model for relational triple extraction.

Various plant attributes, such as growing environment, growth cycle, and ecological distribution, can provide support to fields like agricultural production and biodiversity. This information is widely dispersed in texts. Manual extraction of this information is highly inefficient due to a fact that it not only takes considerable time but also increases the likelihood of overlooking relevant details.

Carbon tax revenue recycling strategy choices under macroeconomic uncertainty based on low-carbon technology progress.

Carbon tax recycling strategies can effectively mitigate the adverse effects of carbon tax policies, yet existing research still faces challenges in designing effective carbon tax recycling strategies. This study constructs a three-party random evolutionary game model involving local governments, enterprises, and residents to examine how governments should design appropriate carbon tax refund strategies under macroeconomic uncertainty, considering different development scenarios of low-carbon technologies. Using python programming language, we solve the random replicator dynamics equation to visualize the evolutionary outcomes.

Protein-protein interaction prediction using bidirectional GRUs with explicit ensemble.

Protein-protein interactions is essential for cellular processes in all organisms. The accurate in-silico identification of these interactions is a significant area of research in biology-related fields, which is crucial for protein function prediction and drug design. Protein sequence data serves as the primary source for computational protein prediction.

Have a place to live? - study on the influence of the living environment on the subjective well-being of older adults.

Background: Against the backdrop of accelerating global aging, China's population aged 60 and above has exceeded 18% of the total population, making the quality of life of older adults a focal point of societal concern. As a core factor influencing the quality of home-based elderly care, the living environment encompasses natural, social, material, and spiritual dimensions, directly impacting older adults' physical and mental health as well as subjective well-being. Existing research has acknowledged the influence of living environments on older adults' subjective well-being but lacks in-depth analysis of environmental disparities across different regions and cultural contexts.

Graduate students and supervisors matching decision-making considering stability-based fairness based on TOPSIS and grey correlation degrees.

In view of the lack of research on graduate students and supervisors matching (GSSM) decision-making, this study proposes a novel many-to-one matching decision-making method for graduate students and supervisors (GSS) considering conformity psychology and graduate students' preferences from a stability-based fairness perspective. First, the many-to-one matching problem for GSS is described. To tackle this problem, linguistic term matrices (LTMs) provided by bilateral subjects are transformed into Pythagorean fuzzy matrices (PFMs).

High-accuracy PM prediction via mutual information filtering and Bayesian-Optimized Spatio-Temporal Convolutional Networks.

Air pollution, particularly fine particulate matter (PM), poses severe threats to human health and ecological sustainability, rendering accurate prediction of PM concentrations imperative for proactive public health interventions and evidence-based policy-making. While deep learning models like LSTM, GRU, and CNN are widely adopted for their robust modeling capacities, the direct use of raw, unfiltered data introduces feature redundancy. This not only prolongs training duration and elevates overfitting risks but also degrades prediction accuracy by complicating model convergence.

ROS-balancing-engineered bio-heterojunction hydrogel accelerated the infected bone regeneration based on Sono-chemo dynamic therapy.

Hypoxic deep-seated infections in refractory environments impede wound healing and exacerbate antibiotic resistance. Sonodynamic therapy (SDT) shows promise in combating pathogenic bacteria; however, the excessive reactive oxygen species (ROS) generated during the process often induce severe inflammatory responses, hindering tissue regeneration. To overcome these limitations, we have developed a multifunctional hydrogel, inspired by the dynamic regulatory mechanisms of rhizobia.

Sensitive and Stable NCF/GO/Au@Ag SERS Substrate for Trace Detection of Polycyclic Aromatic Hydrocarbons.

Polycyclic aromatic hydrocarbons (PAHs) have attracted significant attention due to their severe threats to both ecological systems and human health. In this paper, a high-performance surface-enhanced Raman spectroscopy (SERS) substrate based on NCF/GO/Au@Ag nanocomposites was developed, which enabled sensitive and stable detection of PAHs. The NCF/GO/Au@Ag substrate synergistic utilizes the localized surface plasmon resonance (LSPR) effect of Au@Ag core-shell nanorods and the additional interfacial charge transfer provided by graphene oxide (GO) to exhibit extremely high sensitivity.

AGEN: Adaptive Error Control-Driven Cross-View Geo-Localization Under Extreme Weather Conditions.

Cross-view geo-localization is a task of matching the same geographic image from different views, e.g., drone and satellite.

An Injectable Antioxidant Parathyroid Hormone Related Supramolecular Peptide Nanofiber Hydrogel for Repairing Osteoporotic Bone Defects.

Teriparatide, the N-terminal derivative of parathyroid hormone (PTH), is currently used for the treatment of osteoporosis through daily subcutaneous injection. However, there are still challenges in topical delivery of PTH or teriparatide due to the initial burst release generally inducing the healing failure of osteoporotic bone defects (OPD). Local anchoring of PTH derivatives is a potential strategy for the repair of OPD.

CFANet: The Cross-Modal Fusion Attention Network for Indoor RGB-D Semantic Segmentation.

Indoor image semantic segmentation technology is applied to fields such as smart homes and indoor security. The challenges faced by semantic segmentation techniques using RGB images and depth maps as data sources include the semantic gap between RGB images and depth maps and the loss of detailed information. To address these issues, a multi-head self-attention mechanism is adopted to adaptively align features of the two modalities and perform feature fusion in both spatial and channel dimensions.

Copper(I)-Catalyzed Synthesis of 1-Amino-1,3-diene Derivatives through a Formal 1,3-Amino Migration Process.

We present a highly efficient method utilizing a CuBr/DTBP (di--butyl peroxide) catalyst system for the synthesis of 1-amino-1,3-diene derivatives from propargylamines and activated methylene compounds. This transformation efficiently assembles a wide range of substrates with good functional group tolerance and high atomic efficiency. Mechanistic investigations reveal that this reaction proceeds through a copper-catalyzed C-C bond formation followed by a formal 1,3-amino group migration.

VO·6HO/f-MWCNT/rGO hybrid aerogels as high-performance electrode materials for zinc-ion supercapacitors.

VO·6HO/f-MWCNT/rGO was successfully synthesized a simple hydrothermal method and used as a cathode material for Zn-ion hybrid supercapacitors (ZHSCs). The incorporation of CNTs optimizes the performance of the device, showcasing the practical application of ZHSCs.

Chiral Ionic Liquids for Enantioselective Liquid-Liquid Extraction of DL-3-Phenyllactic Acid: Synthesis, Characterization, and Mechanistic Insights.

In this work, a novel pair of chiral ionic liquids (CILs) based on cis- and trans-myrtanol was designed, synthesized, and applied in the enantioselective liquid-liquid extraction (LLE) of DL-3-phenyllactic acid (DL-3-PLA). DL-3-PLA, a naturally occurring broad-spectrum antimicrobial compound, exhibits distinct biological activities in its enantiomeric forms, making its separation of significant interest for pharmaceutical and food applications. The CILs were synthesized starting from (1S)-(-)-β-pinene via oxidative hydroboration, followed by subsequent functional group modifications, and were fully characterized using H NMR, FTIR, DSC, and TGA.

Circular RNA circDhx32 promotes cardiac inflammatory responses in mouse cardiac ischemia-reperfusion injury via binding to FOXO1 competed with AdipoR1.

Ischaemic heart disease is an important cause of death in humans, and resupply of blood to damaged myocardium can exacerbate the risk of cardiac I/R injury. Circular RNAs (circRNAs) play an important role in cardiovascular disease. In this study we investigated the regulatory role of circDhx32 in the progression of I/R injury.

Epinephrine destabilizes Alzheimer's disease-related tau protofibril and fibril: a computational study.

The aggregation of hyperphosphorylated tau protein into neurofibrillary tangles (NFTs) is associated with Alzheimer's disease (AD). Inhibiting tau aggregation or disrupting preformed fibrillar aggregates may be legitimate therapeutic approaches for AD. Epinephrine, also known as adrenaline, is an endogenous small molecule secreted by the adrenal medulla and can be stimulated by resistance exercise.

Wet-Pulling Method Induced Self-Folding Layered CNT/WPU Fiber Strain Sensor with Ultrahigh Sensitivity and Wide Working Range for Human Activity Detection.

The rapid development of flexible electronics has intensified the demand for strain sensors that simultaneously achieve high sensitivity, wide detection range, and exceptional durability, particularly in human activity monitoring applications. In order to overcome the intrinsic sensitivity─stretchability trade-off in conventional resistive sensors, this work proposes a carbon nanotube (CNT)/waterborne polyurethane (WPU) composite fiber strain sensor featuring a layer-by-layer structure fabricated via a novel wet-pulling method. The synergistic interaction between the self-folding hierarchical layered structure, formed via the wet-pulling method, and surface crack engineering enables an ultrahigh gauge factor (GF = 117222.

Asymmetric 3D-printed PEG porous frame composited with functional materials for high electromagnetic shielding and infrared stealth performance.

The development of multifunctional composites integrating electromagnetic interference (EMI) shielding and infrared (IR) stealth properties holds significant research value and application potential. In this work, we pioneer a novel fabrication strategy combining digital light processing (DLP) three-dimensional (3D) printing with click chemistry to create MXene-enhanced poly (ethylene glycol) porous polymer (MWPP) composites with asymmetric structure. Through unique structural design of top holes and bottom solid, it exhibits excellent impedance matching and EMI shielding in the X-band, with an EMI shielding effectiveness (EMI SE) of 30.

Ce-doped NHVO nanosheets anchored on carbon cloth: a high-performance cathode material for zinc-ion batteries.

Ammonium vanadate emerges as a potential cathode candidate for aqueous zinc-ion batteries (AZIBs), attributed to its porous crystal lattice and remarkable theoretical capacity. However, its further development is impeded by the sluggish kinetics of Zn embedding and instability in laminar flow. We developed a straightforward one-step hydrothermal method to fabricate Ce-doped NHVO (NVO) nanosheets (CeNVO@CC) directly grown on carbon cloth substrates, achieving efficient material integration and enhanced electrochemical performance.

Private image synthesis of latent diffusion model with the ciphertext of prompt.

Artificial intelligence generated content (AIGC) has made significant strides in enabling users to create various realistic visual content, such as images, videos and audio. Diffusion models have shown promise in generating higher-quality images when the user inputs the prompts. However, the prompts and the generated images may contain some privacy information.

Pharmacological art therapy based on holistic view of traditional chinese medicine and pharmacology for elderly with chronic diseases.

To investigate the efficacy of a drug-art therapy intervention combining traditional Chinese medicine and modern pharmacology for the treatment of chronic diseases in the elderly. In this study, elderly diabetic patients were treated through a combination of medication and art therapy. The efficacy was monitored by biochemical indicators such as glycated haemoglobin (HbA1c) and lipid levels and the data were analysed by t-test for the outcome scores before and after treatment.

Combined Experimental and DFT Study of Alumina (α-AlO(0001))-Supported Fe Atoms in the Limit of a Single Atom.

To probe the properties of single atoms is a challenging task, especially from the experimental standpoint, due to sensitivity limits. Nevertheless, it is sometimes possible to achieve this by making corresponding choices and adjustments to the experimental technique and sample under investigation. In the present case, the absolute value of the electronic charge the Fe atoms acquire when they are adsorbed on the surface of aluminum oxide α-AlO(0001) was measured by a set of surface-sensitive techniques: low-energy ion scattering (LEIS), Auger electron spectroscopy (AES), low-energy electron diffraction (LEED), and work function (WF) measurements, in combination with density functional theory (DFT) calculations.