Human Daily Breathing Monitoring via Analysis of CSI Ratio Trajectories for WiFi Link Pairs on the I/Q Plane.

The measurement of human breathing is crucial for assessing the condition of the body. It opens up possibilities for various intelligent applications, like advanced medical monitoring and sleep analysis. Conventional approaches relying on wearable devices tend to be expensive and inconvenient for users.

Microbiological Characteristics, Risk Factors, and Short-Term Mortality of Carbapenem-Resistant Bloodstream Infections in Pediatric Patients in China: A 10-Year Longitudinal Study.

Background: Carbapenem-resistant (CRE) is rapidly becoming a major threat to hospitalized children worldwide. The purpose of this study was to summarize etiological characteristics and identify risk factors relevant to CRE bloodstream infection (BSI) and short-term mortality among pediatric patients in China.

Methods: In this study, we included 370 inpatients ≤17 years old with BSI caused by in China from January 2013 to December 2022.

Morpho-phylogenetic evidence reveals novel species and new records of (Nigrogranaceae) associated with medicinal plants in Southwestern China.

During a survey of saprobic fungal niches in Southwestern China, eighteen ascomycetous collections of (Nigrogranaceae, Pleosporales, Dothideomycetes) were found on dead branches of medicinal plants. These taxa were characterized and identified based on morphological and culture characteristics, and phylogenetic analyses of a combined the internal transcribed spacer region of rDNA (ITS), nuclear large subunit rDNA (28S, LSU), RNA polymerase second-largest subunit (rpb2), nuclear small subunit rDNA (18S, SSU), and translation elongation factor 1-alpha () sequence dataset also confirmed their placement. As a result, four novel species, namely , , and were described.

Greenhouse gas emission and denitrification kinetics of woodchip bioreactors treating onsite wastewater.

The accurate evaluation of denitrification rate and greenhouse gas (GHG) emission in field-scale woodchip bioreactors for onsite wastewater treatment are problematic due to inevitably varied environmental conditions and underestimated GHG production with limited analysis of dissolved gas in field samples. To address these problems, batch incubation experiments were conducted with controlled conditions to precisely evaluate the denitrification kinetics and NO and CH emission of both gaseous and dissolved phases in fresh (6 months) and aged (5 years) woodchip bioreactors treating onsite wastewater at high (1-3 mg L) and no (0 mg L) dissolved oxygen (DO) levels. NO removal rate decreased from 37.

Regulating magnetic skyrmions in multiferroic monolayer MnOBr.

Two-dimensional multiferroic materials that exhibit both ferroelectricity and ferromagnetism provide a new platform for the discovery and regulation of magnetic skyrmions. In this study, we utilize first-principles calculations and Monte Carlo simulations to explore the properties and regulation of magnetic skyrmions in a novel multiferroic monolayer, MnOBr. MnOBr exhibits skyrmions without the need for an external magnetic field.

Transcriptome analysis reveals the promoting effects of exogenous melatonin on the selenium uptake in grape under selenium stress.

Introduction: Exogenous melatonin (MT) can promote horticultural crops growth under stress conditions.

Methods: In this study, the effects of exogenous MT on the accumulation of selenium (Se) in grape were studied under Se stress.

Results And Discussion: Under Se stress, exogenous MT increased the biomass, content of photosynthetic pigments and antioxidant enzyme activity of grapevines.

Prediction of hypertension risk based on multiple feature fusion.

Objective: In the application of machine learning to the prediction of hypertension, many factors have seriously affected the classification accuracy and generalization performance. We propose a pulse wave classification model based on multi-feature fusion for accuracy prediction of hypertension.

Methods And Materials: We propose an ensemble under-sampling model with dynamic weights to decrease the influence of class imbalance on classification, further to automatically classify of hypertension on inquiry diagnosis.

Molecular Dynamics Simulation on Solidification Microstructure and Tensile Properties of Cu/SiC Composites.

The shape of ceramic particles is one of the factors affecting the properties of metal matrix composites. Exploring the mechanism of ceramic particles affecting the cooling mechanical behavior and microstructure of composites provides a simulation basis for the design of high-performance composites. In this study, molecular dynamics methods are used for investigating the microstructure evolution mechanism in Cu/SiC composites containing SiC particles of different shapes during the rapid solidification process and evaluating the mechanical properties after cooling.

Recent progress of electrospun nanofibers as burning dressings.

Burns are a global public health problem, which brings great challenges to public health and the economy. Severe burns often lead to systemic infection, shock, multiple organ failure, and even death. With the increasing demand for the therapeutic effect of burn wounds, traditional dressings have been unable to meet people's needs due to their single function and many side effects.

Task Offloading Strategy for Unmanned Aerial Vehicle Power Inspection Based on Deep Reinforcement Learning.

With the ongoing advancement of electric power Internet of Things (IoT), traditional power inspection methods face challenges such as low efficiency and high risk. Unmanned aerial vehicles (UAVs) have emerged as a more efficient solution for inspecting power facilities due to their high maneuverability, excellent line-of-sight communication capabilities, and strong adaptability. However, UAVs typically grapple with limited computational power and energy resources, which constrain their effectiveness in handling computationally intensive and latency-sensitive inspection tasks.

Prediction model of dental caries in 12-year-old children in Sichuan Province based on machine learning.

Objectives: The machine learning algorithm was used to construct a prediction model of children's dental caries to determine the risk factors of dental caries in children and put forward targeted measures and policy suggestions to improve children's oral health.

Methods: Stratified cluster random sampling was adopted in this study. In accordance with different policies and measures in Sichuan Province, 12-year-old students from 3-4 middle schools in eight cities of Sichuan Province were randomly selected for questionnaire survey, oral examination, and physical examination.

Ultrasound-guided percutaneous transhepatic one-step biliary fistulation combined with rigid choledochoscopy for recurrent hepatolithiasis.

Purpose: Percutaneous transhepatic one-step biliary fistulation (PTOBF) is used to treat choledocholithiasis and biliary stricture. This study aimed to evaluate the safety and efficacy of ultrasound-guided PTOBF combined with rigid choledochoscopy in the treatment of recurrent hepatolithiasis.

Materials And Methods: The clinical data of 37 consecutive patients who underwent PTOBF combined with rigid choledochoscopy for RHL from March 2020 to March 2022 at our hospital were retrospectively analyzed.

Effects of Potassium-Containing Fertilizers on Sugar and Organic Acid Metabolism in Grape Fruits.

To identify suitable potassium fertilizers for grape ( L.) production and study their mechanism of action, the effects of four potassium-containing fertilizers (complex fertilizer, potassium nitrate, potassium sulfate, and potassium dihydrogen phosphate) on sugar and organic acid metabolism in grape fruits were investigated. Potassium-containing fertilizers increased the activity of sugar and organic acid metabolism-related enzymes at all stages of grape fruit development.

Modification of the second PEP4-allele facilitates an industrial Saccharomyces cerevisiae to tolerate tartaric acid stress.

The practical significance of constructing robust industrial production strains against organic acid stress lies not only in improving fermentation efficiency but also in reducing manufacturing costs. In a previous study, we constructed an industrial Saccharomyces cerevisiae strain by modifying another PEP4-allele of a mutant that already had one PEP4-allele disrupted. This modification enhanced cellular tolerance to citric acid stress during growth.

Multifunctional terahertz metamaterial based on vanadium dioxide and silicon.

This paper proposes a multifunctional metamaterial device operating in the terahertz (THz) band. The metamaterial device can switch functions by using the phase transition properties of vanadium dioxide ( ) and the photoconductive effect of silicon. An intermediate metal layer divides the device into the I side and II side.

Unsupervised Global and Local Homography Estimation With Motion Basis Learning.

In this paper, we introduce a new framework for unsupervised deep homography estimation. Our contributions are 3 folds. First, unlike previous methods that regress 4 offsets for a homography, we propose a homography flow representation, which can be estimated by a weighted sum of 8 pre-defined homography flow bases.

A chemical perspective on the modulation of TEAD transcriptional activities: Recent progress, challenges, and opportunities.

TEADs are transcription factors and core downstream components of the Hippo pathway. Mutations of the Hippo pathway and/or dysregulation of YAP/TAZ culminate in aberrant transcriptional activities of TEADs, which were considered as key contributing factors of mesotheliomas, fibrotic diseases, Alzheimer's diseases, Huntington's diseases, suppressive immune response, and drug resistance, among others. To modulate transcriptional activities of TEADs, several pharmacological approaches have been pursued, including TEAD/YAP protein-protein interaction inhibitors, TEAD PBP inhibitors, and TEAD activators.

Switchable Multifunctional Terahertz Metamaterials Based on the Phase-Transition Properties of Vanadium Dioxide.

Currently, terahertz metamaterials are studied in many fields, but it is a major challenge for a metamaterial structure to perform multiple functions. This paper proposes and studies a switchable multifunctional multilayer terahertz metamaterial. Using the phase-transition properties of vanadium dioxide (VO), metamaterials can be controlled to switch transmission and reflection.

Contour Transformer Network for One-Shot Segmentation of Anatomical Structures.

Accurate segmentation of anatomical structures is vital for medical image analysis. The state-of-the-art accuracy is typically achieved by supervised learning methods, where gathering the requisite expert-labeled image annotations in a scalable manner remains a main obstacle. Therefore, annotation-efficient methods that permit to produce accurate anatomical structure segmentation are highly desirable.

Degraded Image Semantic Segmentation with Dense-Gram Networks.

Degraded image semantic segmentation is of great importance in autonomous driving, highway navigation systems, and many other safety-related applications and it was not systematically studied before. In general, image degradations increase the difficulty of semantic segmentation, usually leading to decreased semantic segmentation accuracy. Therefore, performance on the underlying clean images can be treated as an upper bound of degraded image semantic segmentation.

Small Object Sensitive Segmentation of Urban Street Scene with Spatial Adjacency Between Object Classes.

Recent advancements in deep learning have shown exciting promise in the urban street scene segmentation. However, many objects, such as poles and sign symbols, are relatively small and they usually cannot be accurately segmented since the larger objects usually contribute more to the segmentation loss. In this paper, we propose a new boundary-based metric that measures the level of spatial adjacency between each pair of object classes and find that this metric is robust against object size induced biases.