Search

In recent years, EEG-based emotion recognition technology has made progress, but there are still problems of low model efficiency and loss of emotional information, and there is still room for improvement in recognition accuracy. To fully utilize EEG's emotional information and improve recognition accuracy while reducing computational costs, this paper proposes a Convolutional-Recurrent Hybrid Network with a dual-stream adaptive approach and an attention mechanism (CSA-SA-CRTNN). Firstly, the model utilizes a CSAM module to assign corresponding weights to EEG channels. Then, an adaptive dual-stream convolutional-recurrent network (SA-CRNN and MHSA-CRNN) is applied to extract local spatial-temporal features. After that, the extracted local features are concatenated and fed into a temporal convolutional network with a multi-head self-attention mechanism (MHSA-TCN) to capture global information. Finally, the extracted EEG information is used for emotion classification. We conducted binary and ternary classification experiments on the DEAP dataset, achieving 99.26% and 99.15% accuracy for arousal and valence in binary classification and 97.69% and 98.05% in ternary classification, and on the SEED dataset, we achieved an accuracy of 98.63%, surpassing relevant algorithms. Additionally, the model's efficiency is significantly higher than other models, achieving better accuracy with lower resource consumption. [ABSTRACT FROM AUTHOR]

Solar‐driven evaporation using hydrogels and photothermal materials is a promising freshwater harvesting technology. However, due to the difficulty of removing volatile pollutants through evaporation and the fact that the evaporation efficiency has reached its limit, further improving efficiency becomes challenging. Therefore, a material simultaneously possessing low water evaporation enthalpy as well as the ability to inhibit volatile pollutants is desired. In this work, a dense inhibitory layer on the hydrogel framework of polyacrylamide introduced into polyvinyl alcohol is designed to enhance its suppression of volatile pollutants and regulate the water state. This not only reduces the energy demand for evaporation but also makes it more effective in treating wastewater containing volatile pollutant ammonia nitrogen. Finally, a high evaporation rate of 3.0 kg m−2 h−1 and an excellent ammonium rejection rate of 90% for high concentration ammonia wastewater are obtained under 1 kW m−2 illumination. This work opens up new avenues of application for the use of photothermal materials in the use of clean solar energy for the separation of freshwater and volatile small molecules. [ABSTRACT FROM AUTHOR]

Background: Previously, several studies have indicated that pediatric IgA nephropathy (IgAN) might be different from adult IgAN, and treatment strategies might be also different between pediatric IgAN and adult IgAN. Methods: We analyzed two prospective cohorts established by pediatric and adult nephrologists, respectively. A comprehensive analysis was performed investigating the difference in clinical and pathological characteristics, treatment, and prognosis between children and adults with IgAN. Results: A total of 1015 children and 1911 adults with IgAN were eligible for analysis. More frequent gross hematuria (88% vs. 20%, p < 0.0001) and higher proteinuria (1.8 vs. 1.3 g/d, p < 0.0001) were seen in children compared to adults. In comparison, the estimated glomerular filtration rate (eGFR) was lower in adults (80.4 vs. 163 ml/min/1.73 m2, p < 0.0001). Hypertension was more prevalent in adult patients. Pathologically, a higher proportion of M1 was revealed (62% vs. 39%, p < 0.0001) in children than in adults. S1 (62% vs. 28%, p < 0.0001) and T1–2 (34% vs. 8%, p < 0.0001) were more frequent in adults. Adjusted by proteinuria, eGFR, and hypertension, children were more likely to be treated with glucocorticoids than adults (87% vs. 45%, p < 0.0001). After propensity score matching, in IgAN with proteinuria > 1 g/d, children treated with steroids were 1.87 (95% CI 1.16–3.02, p = 0.01) times more likely to reach complete remission of proteinuria compared with adults treated with steroids. Conclusions: Children present significantly differently from adults with IgAN in clinical and pathological manifestations and disease progression. Steroid response might be better in children. [ABSTRACT FROM AUTHOR]

Aiming at the problem that existing emotion recognition methods fail to make full use of the information in the time, frequency, and spatial domains in the EEG signals, which leads to the low accuracy of EEG emotion classification, this paper proposes a multi-feature, multi-frequency band-based cross-scale attention convolutional model (CATM). The model is mainly composed of a cross-scale attention module, a frequency–space attention module, a feature transition module, a temporal feature extraction module, and a depth classification module. First, the cross-scale attentional convolution module extracts spatial features at different scales for the preprocessed EEG signals; then, the frequency–space attention module assigns higher weights to important channels and spatial locations; next, the temporal feature extraction module extracts temporal features of the EEG signals; and, finally, the depth classification module categorizes the EEG signals into emotions. We evaluated the proposed method on the DEAP dataset with accuracies of 99.70% and 99.74% in the valence and arousal binary classification experiments, respectively; the accuracy in the valence–arousal four-classification experiment was 97.27%. In addition, considering the application of fewer channels, we also conducted 5-channel experiments, and the binary classification accuracies of valence and arousal were 97.96% and 98.11%, respectively. The valence–arousal four-classification accuracy was 92.86%. The experimental results show that the method proposed in this paper exhibits better results compared to other recent methods, and also achieves better results in few-channel experiments. [ABSTRACT FROM AUTHOR]

The development of self‐healing materials is an effective strategy to improve the service life of polymer materials. In this study, self‐healing waterborne fluorinated polyurethane‐acrylate (WFPUA) containing UV‐responsive coumarin groups was prepared by Pickering emulsion polymerization using modified cellulose nanocrystal as a stabilizer. The effect of double bond‐terminated waterborne polyurethane content on emulsion polymerization and latex film properties was mainly studied. Due to the dynamic reversibility of the coumarin groups and the synergistic effect of hydrogen bonds, the optimized sample (WFPUA‐30) had excellent mechanical properties and self‐healing properties. The tensile strength was 5.24 MPa and the elongation at break was 267%. The self‐healing efficiency of tensile strength and elongation at break after 6 h of repair was 86.52% and 93.20%, respectively. In addition, due to the presence of fluorine‐containing groups, the water and oil contact angles of the latex film could reach 101.7° and 82.1°, respectively. This work broadens the way for the manufacture of self‐healing and multifunctional waterborne polyurethane‐acrylates. © 2024 Society of Industrial Chemistry. [ABSTRACT FROM AUTHOR]

Acute myocardial infarction (AMI) has become a public health disease threatening public life safety due to its high mortality. The lateral-flow assay (LFA) of a typical cardiac biomarker, troponin I (cTnI), is essential for the timely warnings of AMI. However, it is a challenge to achieve an ultra-fast and highly-sensitive assay for cTnI (hs-cTnI) using current LFA, due to the limited performance of chromatographic membranes. Here, we propose a barbed arrow-like structure membrane (BAS Mem), which enables the unidirectional, fast flow and low-residual of liquid. The liquid is rectified through the forces generated by the sidewalls of the barbed arrow-like grooves. The rectification coefficient of liquid flow on BAS Mem is 14.5 (highest to date). Using BAS Mem to replace the conventional chromatographic membrane, we prepare batches of lateral-flow strips and achieve LFA of cTnI within 240 s, with a limit of detection of 1.97 ng mL−1. The lateral-flow strips exhibit a specificity of 100%, a sensitivity of 93.3% in detecting 25 samples of suspected AMI patients. The lateral-flow strips show great performance in providing reliable results for clinical diagnosis, with the potential to provide early warnings for AMI. Acute myocardial infarction has become a public health disease threatening public life safety. Here, authors propose a BAS Mem with an ultra-high rectification coefficient, replacing the conventional chromatographic membrane to develop an ultra-fast, highly-sensitive lateral-flow assay for cTnI. [ABSTRACT FROM AUTHOR]

In this multi-informant, 3-year longitudinal study, the bidirectional relations between externalizing and internalizing problems were investigated, along with whether peer victimization and academic achievement mediated their relations after separating between-person effects from within-person effects. A sample of 3238 Chinese children (55.02% boys; Mage T1 = 9.89 years) reported semiannually on peer victimization and both externalizing and internalizing problems, and parents reported on their children's externalizing and internalizing problems. Students' objective academic achievement data (i.e. final exam scores) were obtained from school records. Random intercepts cross-lagged panel modeling (RI-CLPM) revealed that neither academic achievement nor peer victimization mediated the relations between externalizing and internalizing problems in both self and parent reports at the within-person level. The cross-lagged panel models (CLPM) results supported that peer victimization (but not academic achievement) mediated the relations from internalizing to externalizing problems or externalizing to internalizing problems, whether self-reported or parent-reported. This study also identified meaningful sex differences in focal relations among children. Findings illustrate the importance of distinguishing within-person and between- person associations, with within- person findings failing to support the hypothesized mediating pathways of the Dual Failure or Acting Out Models among children. [ABSTRACT FROM AUTHOR]

Objective Accurate differentiation within the LI-RADS category M (LR-M) between hepatocellular carcinoma (HCC) and non-HCC malignancies (mainly intrahepatic cholangiocarcinoma [CCA] and combined hepatocellular and cholangiocarcinoma [cHCC-CCA]) is an area of active investigation. We aimed to use radiomics-based machine learning classification strategy for differentiating HCC from CCA and cHCC-CCA on contrast-enhanced ultrasound (CEUS) images in high-risk patients with LR-M nodules. Methods A total of 159 high-risk patients with LR-M nodules (69 HCC and 90 CCA/cHCC-CCA) who underwent CEUS within 1 month before pathologic confirmation from January 2006 to December 2019 were retrospectively included (111 patients for training set and 48 for test set). The training set was used to build models, while the test set was used to compare models. For each observation, six CEUS images captured at predetermined time points (T1, peak enhancement after contrast injection; T2, 30 seconds; T3, 45 seconds; T4, 60 seconds; T5, 1–2 minutes; and T6, 2–3 minutes) were collected for tumor segmentation and selection of radiomics features, which included seven types of features: first-order statistics, shape (2D), gray-level co-occurrence matrix, gray-level size zone matrix, gray-level run length matrix, neighboring gray tone difference matrix, and gray-level dependence matrix. Clinical data and key radiomics features were employed to develop the clinical model, radiomics signature (RS), and combined RS-clinical (RS-C) model. The RS and RS-C model were built using the machine learning framework. The diagnostic performance of these three models was calculated and compared. Results Alpha-fetoprotein (AFP), CA19-9, enhancement pattern, and time of washout were included as independent factors for clinical model (all p < 0.05). Both the RS and RS-C model performed better than the clinical model in the test set (area under the curve [AUC] of 0.698 [0.571–0.812] for clinical model, 0.903 [0.830–0.970] for RS, and 0.912 [0.838–0.977] for the RS-C model; both p < 0.05). Conclusions Radiomics-based machine learning classifiers may be competent for differentiating HCC from CCA and cHCC-CCA in high-risk patients with LR-M nodules. [ABSTRACT FROM AUTHOR]

This work investigates the inverse coupled radiation–conduction problem for estimating thermophysical parameters and source terms by an improved grey wolf optimization (GWO). The transient coupled radiation–conduction heat transfer problem in participating slab media is solved by the finite volume method. The radiative intensities on both boundaries are adopted as known measurement information in the inverse model. To overcome the disadvantages of the original GWO algorithm, an improved grey wolf algorithm (IGWO) is developed by introducing the weight strategy and nonlinear factors. Three benchmark functions are adopted to prove that the IGWO has a faster convergence speed and higher estimation accuracy than the original one. The IGWO is applied to inverse the thermophysical parameters and source terms based on the coupled radiation–conduction model; the results indicate that the IGWO is accurate and effective for estimating refractive index, absorption coefficient, and source terms. [ABSTRACT FROM AUTHOR]

Combining phase change materials with textile materials is an important method to give textiles temperature regulation function. Herein, the microcapsulated phase change materials with ZnO@ZIF-8@SiO2-doped polymethyl methacrylate (PMMA) as hybrid shell (ZZS/PMMA MPCMs) were prepared through Pickering emulsion polymerization with n-octadecane (C18) as core and ZnO@ZIF-8@SiO2 grafted with polyacrylic acid (MZZS) particles possessing radiation cooling performance as stabilizers. The effect of MZZS content on the morphology of phase change microcapsule, radiation cooling and temperature regulation properties of coated cotton fabrics was studied. The results indicated that when the MZZS content increased to 3.0 wt%, the prepared phase change microcapsule's encapsulation efficiency was 50.34%, showing excellent latent heat storage and release properties. Furthermore, compared with the uncoated cotton fabric, the rising and dropping rate of the temperature of ZZS/PMMA MPCMs coated cotton fabric was much slower in different seasons, indicating excellent radiation cooling and temperature regulation performance. [ABSTRACT FROM AUTHOR]

Simple Summary: This review will discuss the connection between ferroptosis and Epstein–Barr Virus as well as its associated cancers. It delves into both known and potential ways in which EBV regulates the ferroptosis signaling pathways and focuses on the potential and prospects of targeting the ferroptosis pathway for the treatment of EBV-related tumors. The review may offer new perspectives for future research directions and clinical therapies. Ferroptosis is a novel and iron-dependent form of programmed cell death, which has been implicated in the pathogenesis of various human cancers. EBV is a well-recognized oncogenic virus that controls multiple signaling pathways within the host cell, including ferroptosis signaling. Recent studies show that inducing ferroptosis could be an efficient therapeutic strategy for EBV-associated tumors. This review will firstly describe the mechanism of ferroptosis, then summarize EBV infection and EBV-associated tumors, as well as the crosstalk between EBV infection and the ferroptosis signaling pathway, and finally discuss the role and potential application of ferroptosis-related reagents in EBV-associated tumors. [ABSTRACT FROM AUTHOR]

Simple Summary: In the realm of modern medicine, the battle against cancer is a relentless pursuit that demands continuous innovation. Among the numerous elements in the complex world of cancer biology, TRAIL has emerged as a focal point for researchers and clinicians alike. Its diverse role in cancer, especially its influence on the tumor microenvironment (TME), has sparked extensive research. This article explores the intricacies of TRAIL's function in cancer, revealing its dual nature—capable of both inhibiting and, conversely, promoting, cancer growth. TRAIL impacts a wide array of processes, from apoptosis to modulation of the immune response, and plays a crucial part in tumor initiation, progression, and invasion. Moving forward, the potential of TRAIL as a transformative element in cancer therapy is gaining recognition. New therapeutic approaches, including combination therapies, immunotherapies, and gene delivery methods, are being developed to leverage TRAIL's potential for the benefit of cancer patients. Moreover, as our understanding of the TME and its effects on TRAIL's efficacy grows, it is opening doors to more targeted and effective treatment strategies. Cancer continues to pose a significant threat to global health, with its status as a leading cause of death remaining unchallenged. Within the realm of cancer research, the tumor necrosis factor-related apoptosis-inducing ligand (TRAIL) stands out as a critical player, having been identified in the 1990s as the tenth member of the TNF family. This review examines the pivotal role of TRAIL in cancer biology, focusing on its ability to induce apoptosis in malignant cells through both endogenous and exogenous pathways. We provide an in-depth analysis of TRAIL's intracellular signaling and intercellular communication, underscoring its potential as a selective anticancer agent. Additionally, the review explores TRAIL's capacity to reshape the tumor microenvironment, thereby influencing cancer progression and response to therapy. With an eye towards future developments, we discuss the prospects of harnessing TRAIL's capabilities for the creation of tailored, precision-based cancer treatments, aiming to enhance efficacy and improve patient survival rates. [ABSTRACT FROM AUTHOR]

Drawing on the spillover-crossover model and gender role theory, this study aims to uncover the antecedents of employees' well-being by investigating a three-way interaction between employees' work-family conflict (WFC), spousal WFC (SWFC), and employee gender. Paired samples of 239 hotel employees and their spouses in China were recruited as study respondents. Hierarchical regression analysis was performed to test the hypotheses. Findings showed that WFC had a significant negative correlation with employees' well-being. In addition, SWFC significantly moderated the relationship between WFC and employees' well-being. The interaction between WFC and gender did not display a significant effect. The triple interaction of WFC, gender, and SWFC significantly influenced employees' well-being. This study incorporates familial factors (i.e., SWFC) and individual factors (i.e., gender) into a single framework to examine the joint effects of multiple boundary conditions. This work expands exploration of the boundary conditions of WFC in predicting employees' well-being. Findings also enrich the understanding of gender differences at the family and individual levels. [ABSTRACT FROM AUTHOR]

The main objective of this paper is to analyze the prognostic and immunological value of CDC45 in kidney renal clear cell carcinoma (KIRC) using single-cell and bulk RNA-sequencing approaches. The expression of CDC45 in KIRC was evaluated by the HPA database, the TCGA-KIRC dataset and verified by PCR analysis and single-cell RNA-sequencing. The ability of CDC45 to independently predict prognosis in KIRC was confirmed by univariate/multivariate regression analysis. Gene set enrichment analysis (GSEA) was employed to explore CDC45-related pathways in KIRC. In addition, Relationships between CDC45 and immunity were also examined. Elevated CDC45 expression in KIRC was demonstrated at mRNA and protein levels. The results of the correlation analysis showed that as CDC45 expression increased, so did the histological grade, clinical stage, and TNM stage of the patients (p < 0.05). Univariate/multivariate regression analysis suggested CDC45 as an independent prognostic factor for KIRC. Seven pathways related to CDC45 were screened through GSEA. Meanwhile, we found that CDC45 was correlated with tumor mutational burden (TMB) and microsatellite instability (MSI) but not tumor neoantigen burden (TNB). Regarding immunity, CDC45 exhibited correlations with the tumor microenvironment, immune cell infiltration, and immune checkpoints. Besides, low CDC45 expression was shown to be associated with a better response to immunotherapy. Single-cell RNA-sequencing revealed that CDC45 was differently expressed in T cells (p < 0.05). CDC45 showed potential as a prognostic biomarker and therapeutic target for KIRC. Meanwhile, the CDC45 low expression group was more sensitive to immunotherapy. [ABSTRACT FROM AUTHOR]

In practical Electromyography (EMG) control, it is necessary to select appropriate number of surface EMG channels with ideal classification performance. In this paper, the contribution of different muscles to motor tasks is taken as the optimization criterion for optimal channel selection, and a channel selection method based on muscle synergy(MS) is proposed. Firstly, the raw EMG signal is preprocessed to extract EMG features, and then non-negative matrix factorization (NMF) algorithm is used to extract the muscle synergy matrix for each gesture and converted. Secondly, the muscle weight coefficients of each gesture on each EMG channel are summed to obtain the importance coefficients of all EMG channels. Finally, the classification is carried out by support vector machine(SVM), random forest(RF) and K-nearest neighbor(KNN) classifier. The method is tested by using surface EMG recorded in DB5 subdatabase of Ninapro database. The test results show that when extracting 10 optimal channels, compared with the sequential forward selection(SFS), Markov random field(MRF) and Relief-F channel selection methods proposed in previous studies, the recognition accuracy of the EMG subsets determined by this method is similar to that obtained by MRF and Relief-F method, and is slightly lower than that obtained by SFS method, but the computational cost is lower than that of SFS, MRF and Relief-F methods. [ABSTRACT FROM AUTHOR]

The drug detection technology plays a pivotal role in the domains of pharmaceutical regulation and law enforcement. In this study, we introduce a method that combines thermal desorption corona discharge ionization (TD-CDI) with mass spectrometry for efficient drug detection. The TD-CDI module, characterized by its compact and simple design, enables the separation of analytes within seconds and real-time presentation of one or two analyte peaks on the mass spectrum most of the time, which reduces matrix interference and improves detection performance. Through experimental investigation, we studied the characteristics of TD-CDI for analyte separation and detection, even with the same mass number, and optimized the TD-CDI approach. TD-CDI-MS was employed for the rapid detection of drugs in various traditional medicine, food products, and human samples. Additionally, by utilizing TD-CDI for segmented hair direct analysis, it becomes possible to trace the drug usage cycle of individuals. This underscores the feasibility of the proposed analytical method within the realm of drug detection. [ABSTRACT FROM AUTHOR]

This study examined the mediating effect of cognitive impulsivity and the moderating effect of dispositional mindfulness in the relations between peer victimization and adolescent proactive and reactive aggressive behaviors. The sample included 2477 Chinese adolescents (51.43% boys and 48.57% girls; Mage =12.23 years, SD = 1.65). The results of path analysis showed that peer victimization was significantly related to both proactive and reactive aggressive behaviors. Cognitive impulsivity mediated in the relations between peer victimization and proactive and reactive aggressive behaviors. Dispositional mindfulness buffered against the relations between peer victimization and proactive aggressive behavior, and between peer victimization and cognitive impulsivity. The results further showed that the indirect effect of cognitive impulsivity was more salient when there were lower levels of dispositional mindfulness. This study revealed the mediating and moderating mechanism between peer victimization and aggressive behavior from the perspective of the control model of the criminal lifestyle theory and has important implications for preventing and reducing adolescent aggressive behaviors. [ABSTRACT FROM AUTHOR]

The formation of a core–shell structure by coating silicon (Si) nanoparticles with a carbon layer is considered a promising method to address the poor conductivity of a Si-based anode and volume expansion of silicon particles during the charging/discharging process. However, Si/C composite anodes usually perform below expectations with a single layer of carbon utilized as the coating layer, while introducing multilayer carbon coating results in the additional complexity and cost. To overcome this challenge, in this work, waterborne polyurethane (WPU) had been simply mixed with the Si nanoparticles to form the Si/WPU composite via the hydrogen bonds, and the core–shell structure with the single carbon layer containing N atoms (Si@NC) was obtained after the pyrolysis of the composite. The carbon layer not only significantly alleviated the breakage of the anode caused by the volume expansion of Si nanoparticles but also optimized the rate performance of the anode. At a current density of 0.5 A g–1, the discharge specific capacity of the Si@NC anode is still as high as 945.63 mAh g–1 after 300 cycles, surpassing various single-layer carbon and multilayer carbon-coated Si-based anodes. This work provides a convenient and feasible method for preparing economical Si/C composite anode materials. [ABSTRACT FROM AUTHOR]

Light‐responsive cellulose nanocrystal@polydopamine (CNC@PDA) modified fluorinated polyacrylate was synthesized by Pickering emulsion polymerization with light‐responsive block copolymer modified CNC@PDA as stabilizer. The epoxy groups in poly(acrylic acid‐co‐acrylamide)‐b‐poly(glycidyl methacrylate)‐b‐poly(hexafluorobutyl acrylate‐co‐coumarin) amphiphilic triblock copolymer reacted with the hydroxyl and amino groups on the surface of CNC@PDA to form the modified CNC@PDA. The successful preparation of modified CNC@PDA was confirmed by means of FT‐IR, XRD, TG, UV–Vis, surface tension measurement, and X‐ray photoelectron spectroscopy (XPS) techniques. The results showed that the modified CNC@PDA had light‐responsive and amphiphilic properties, and could be used as stabilizer to form stable Pickering emulsion. And the influence of modified CNC@PDA dosage on emulsion polymerization and film performance was systematically studied. The latex particle size decreased initially with increasing modified CNC@PDA dosage, from 0.6 to 1.0 wt%, and then increased. The mechanical, self‐healing, and water–oil repellent properties of film were enhanced initially with increasing modified CNC@PDA dosage, from 0.6 to 1.0 wt%, and then declined. Atomic force microscope confirmed that the latex film had a rough surface. Moreover, the latex film comprising 1.0 wt% modified CNC@PDA presented not only high tensile strength (4.92 MPa), large elongation at break (657.70%), and superior oil/water repellency but also excellent self‐healing property. [ABSTRACT FROM AUTHOR]

To obtain novel high-energy density compounds with superior detonation properties and sensitivity to those of RDX, a series of furazan/tetrazole/tetrazine-tetrazole-N = N-tetrazole-furazan/tetrazole/tetrazine and furazan/tetrazole/tetrazine-tetrazole-NHNH-tetrazole-furazan/tetrazole/tetrazine-based energetic materials were designed. Their structures were optimised by Gaussian software with density functional theory at B3LYP/6-311G (d,p) level. Based on the optimised structures, their frontier orbital energies, heats of formation and detonation properties were calculated. The results indicate that the compound with tetrazole-tetrazole-N = N-tetrazole-tetrazole parent structure and -N3 energetic group has the highest value of heat of formation while the compound with tetrazine-tetrazole-NHNH-tetrazole-tetrazine parent structure and -C(NO2)3 energetic group possess the highest values of detonation velocity and detonation pressure. Most of the designed compounds have higher values of h50 than those of RDX (28 cm) and HMX (32 cm), and series E had higher average values of impact sensitivity. Finally, taking detonation properties and impact sensitivity into consideration, six compounds (A2, A8, C8, D2, F7 and F8) were selected as potential candidate materials for high-energy density materials, and their electronic and physicochemical properties were investigated. [ABSTRACT FROM AUTHOR]

Introduction: To achieve the "dual carbon" goal, the integrated energy system (IES) needs to take into account both economic and low-carbon requirements while meeting the growing energy demand. Methods: Therefore, an optimal scheduling model for low-carbon economic operation is proposed. Firstly, a more accurate carbon emission model is used to consider the actual carbon emission of gas load, to improve the original carbon emission model. A ladder-type carbon trading mechanism is introduced to further constrain the carbon emission of IES. Then, the demand-side response model is proposed, which uses the time-of-use price and mutual substitution of electricity, heat, and gas loads to curtail, time-shift, and substitute the load. Finally, an optimal scheduling model with minimum energy purchase cost, wind and photovoltaic curtailment cost, demand response cost, and carbon emission cost is constructed, which is solved by the GUROBI solver. Results: Through comparative simulation analysis of 6 cases, the results show that the objective function considers the traditional carbon trading cost to reduce carbon emission by about 19.3% compared with the case without considering. After adopting the ladder-type carbon trading mechanism, the carbon emission of IES can be further limited by about 0.35%, and the appropriate carbon trading base price is explored. In addition, after the demand response, the energy purchase cost, carbon trading cost, and carbon emission of IES are reduced by about 3.4%, 18.5%, and 36.2%, respectively, compared with those before the demand response. The simulation results verify the effectiveness of the proposed model. [ABSTRACT FROM AUTHOR]

This study examined how depressive symptoms play mediating roles between cyberbullying and traditional bullying victimization and suicidal ideation and the moderating roles of cognitive reappraisal and emotion invalidation. A total of 1,823 Chinese adolescents (Mean age = 11.20, SD = 1.21, 47.8% girls) participated this study. Results showed that cyberbullying victimization was more strongly related to suicidal ideation than traditional bullying victimization. Depressive symptoms played mediating roles between cyberbullying and traditional bullying victimization and suicidal ideation. Cognitive reappraisal mitigated the effects of cyberbullying and traditional bullying victimization on depressive symptoms, and perceived emotion invalidation strengthened the effect of depressive symptoms on suicidal ideation. Results further showed that the mediating effect of depressive symptoms was more prominent when there were low levels of cognitive reappraisal and more perceived emotion invalidation. Promoting youths' cognitive reappraisal and providing validating responses to their depressive symptoms could mitigate the destructive effects of bullying victimization on suicidal ideation. [ABSTRACT FROM AUTHOR]

The development of strain sensors with high stretchability and stability is an inevitable requirement for achieving full‐range and long‐term use of wearable electronic devices. Herein, a resistive micromesh reinforced strain sensor (MRSS) with high stretchability and stability is prepared, consisting of a laser‐scribed graphene (LSG) layer and two styrene‐block‐poly(ethylene‐ran‐butylene)‐block‐poly‐styrene micromesh layers embedded in Ecoflex. The micromesh reinforced structure endows the MRSS with combined characteristics of a high stretchability (120%), excellent stability (with a repetition error of 0.8% after 11 000 cycles), and outstanding sensitivity (gauge factor up to 2692 beyond 100%). Impressively, the MRSS can still be used continauously within the working range without damage, even if stretched to 300%. Furthermore, compared with different structure sensors, the mechanism of the MRSS with high stretchability and stability is elucidated. What's more, a multilayer finite element model, based on the layered structure of the LSG and the morphology of the cracks, is proposed to investigate the strain sensing behavior and failure mechanism of the MRSS. Finally, due to the outstanding performance, the MRSS not only performes well in monitoring full‐range human motions, but also achieves intelligent recognitions of various respiratory activities and gestures assisted by neural network algorithms (the accuracy up to 94.29% and 100%, respectively). This work provides a new approach for designing high‐performance resistive strain sensors and shows great potential in full‐range and long‐term intelligent health management and human–machine interactions applications. [ABSTRACT FROM AUTHOR]

High-throughput microfluidic systems are widely used in biomedical fields for tasks like disease detection, drug testing, and material discovery. Despite the great advances in automation and throughput, the large amounts of data generated by the high-throughput microfluidic systems generally outpace the abilities of manual analysis. Recently, the convergence of microfluidic systems and artificial intelligence (AI) has been promising in solving the issue by significantly accelerating the process of data analysis as well as improving the capability of intelligent decision. This review offers a comprehensive introduction on AI methods and outlines the current advances of high-throughput microfluidic systems accelerated by AI, covering biomedical detection, drug screening, and automated system control and design. Furthermore, the challenges and opportunities in this field are critically discussed as well. [ABSTRACT FROM AUTHOR]

As peer relationships become paramount during early adolescence, there's a normative rise in social anxiety, coinciding with a peak in peer victimization and aggression. Although previous studies have suggested reciprocal associations between changes in social anxiety and adolescent peer victimization and aggression, the mechanics of these associations at the personal trait and time-varying state levels remains unclear. This study examined the longitudinal relations between social anxiety and adolescent peer victimization and aggression by disentangling between-person trait differences from within-person state processes. A total of 4731 Chinese early adolescents (44.9% girls; M age = 10.91 years, SD = 0.72) participated in a four-wave longitudinal study with 6-month intervals. Random-intercept cross-lagged panel model (RI-CLPM) was applied. The results revealed higher levels of social anxiety are associated with more peer victimization and aggression at the between-person trait level. At the within-person state level, adolescent social anxiety, and adolescent physical victimization and physical aggression, reciprocally predicted each other. Relational victimization significantly predicted an increase of social anxiety, but not vice versa. Social anxiety positively predicted relational aggression over time, whereas the effect of relational aggression on social anxiety was only observed at the initial stage of early adolescence. These findings highlight that various types of victimization and aggression might exhibit unique reciprocal associations with social anxiety. Distinguishing between the within-person state and between-person trait effects is crucial in research that informs the co-development of adolescent peer victimization, aggression, and social anxiety. [ABSTRACT FROM AUTHOR]

MYB transcription factors play a key role in anthocyanin biosynthesis. However, there are few reports on MYB transcription factors that can regulate anthocyanin biosynthesis in potato. In this study, the StMYB113 gene was isolated from potato and characterized. Transient activation experiments showed that the StMYB113 gene could promote anthocyanin biosynthesis in tobacco leaves by enhancing the expression of genes encoding anthocyanin biosynthesis-related enzymes. In addition, overexpression of the StMYB113 gene promoted anthocyanin accumulation in potato tuber skin. Furthermore, transient luciferase analysis showed that StMYB113 enhanced the promoter activities of StF3H and StDFR genes significantly. These results indicated that the StMYB113 gene could promote anthocyanin accumulation in potato tuber skin by directly activating the expression of StF3H and StDFR. The promoter activity of StMYB113 was significantly higher in light than in dark conditions, suggesting that the expression of StMYB113 is induced by light. These findings illustrate the role and regulation of the StMYB113 gene in potato anthocyanin biosynthesis and enrich the regulatory theory of potato anthocyanin biosynthesis. [ABSTRACT FROM AUTHOR]

In recent years, there has been a notable rise in the number of patients afflicted with laryngeal diseases, including cancer, trauma, and other ailments leading to voice loss. Currently, the market is witnessing a pressing demand for medical and healthcare products designed to assist individuals with voice defects, prompting the invention of the artificial throat (AT). This user-friendly device eliminates the need for complex procedures like phonation reconstruction surgery. Therefore, in this review, we will initially give a careful introduction to the intelligent AT, which can act not only as a sound sensor but also as a thin-film sound emitter. Then, the sensing principle to detect sound will be discussed carefully, including capacitive, piezoelectric, electromagnetic, and piezoresistive components employed in the realm of sound sensing. Following this, the development of thermoacoustic theory and different materials made of sound emitters will also be analyzed. After that, various algorithms utilized by the intelligent AT for speech pattern recognition will be reviewed, including some classical algorithms and neural network algorithms. Finally, the outlook, challenge, and conclusion of the intelligent AT will be stated. The intelligent AT presents clear advantages for patients with voice impairments, demonstrating significant social values. [ABSTRACT FROM AUTHOR]

Perspiration is an important physiological process that maintains thermal homeostasis and water–salt balance. However, the collection and analysis of perspiration currently rely on microfluidic technology and colorimetric assays. The complexity and high cost of fabricating microfluidic channels and the insecurity of chemical reagents for color reactions should be optimized. In this work, a colorimetry electronic skin (e‐skin) for intelligent perspiration monitoring has been realized. The colorimetry e‐skin system consists of the polyurethane (PU) nanomesh and the object detection algorithm You Only Look Once version 3 (YOLOv3). Due to the 44% porosity of the PU nanomesh and capillary action, the low‐cost PU nanomesh (<1 cent) can be used as the colorimetric indicator. The volume of the PU nanomesh expands to 362.37% as a result of perspiration being absorbed and changes the optical transmittance (up to 277.78%). A finite element model based on capillary action has been proposed to explain the change in optical transmittance. Finally, a database containing 735 images has been built, and the object detection algorithm YOLOv3 is used to analyze the perspiration absorbed by the PU nanomesh. The detection results can identify the perspiration volume with a high accuracy of 97%. These results show that this work has great potential in healthcare field. [ABSTRACT FROM AUTHOR]

The size, distribution, and specific shape of ordered nanophotonic structures are crucial for their biomedical applications. Bottom‐up approaches such as self‐assembly, emulsification, and precipitation are commonly fabricated nanophotonic structures, which often lack control of nanophotonic structures morphologies and monodispersed sizes. On the contrary, top‐down nanofabrication techniques offer the advantages of high fidelity and high controllability and are employed in the fabrication of nanophotonic structures. This review focuses on top‐down nanofabrication techniques to fabricate ordered nanophotonic structures and their biomedical applications. Several top‐down approaches used in the semiconductor industry and other fields requiring micro‐ and nanopatterns are used, including electron beam lithography/ion beam lithography, photolithography, interference lithography, nanoimprint lithography, nanosphere lithography, nanotransfer lithography, and nano‐electrodeposition. Various current and emerging biomedical applications of the ordered nanophotonic structures are also covered: i) surface‐enhanced Raman scattering, ii) plasmonics, including surface plasmon resonance and localized surface plasmon resonance, and iii) fluorescence enhancement. Finally, a future perspective of nanophotonic structures fabricated by top‐down techniques in biomedical applications is also summarized. [ABSTRACT FROM AUTHOR]

Family dysfunction plays an important role in cyberbullying and cybervictimization. However, little research has investigated the longitudinal relations and the mediating mechanisms between them during adolescence. This study examined the longitudinal relations between family dysfunction and cyberbullying and cybervictimization, along with whether depressive symptoms function as mediators between them at the within-person level. A total of 3,743 Chinese adolescents (46.2% females; M age = 9.92 years; SD = 0.51) participated a five-wave longitudinal study with a 6-month time interval. The results of random intercept cross-lagged panel model found that: (1) family dysfunction directly predicted depressive symptoms and vice versa at the within-person level; (2) depressive symptoms directly predicted cyberbullying and cybervictimization at the within-person level, but not vice versa; (3) family dysfunction indirectly predicted cyberbullying and cybervictimization via depressive symptoms at the within-person level; (4) at the between-person level, there were significant associations among family dysfunction, depressive symptoms, cyberbullying and cybervictimization. The results are discussed on the basis of the mechanisms that lead to cyberbullying and cybervictimization. [ABSTRACT FROM AUTHOR]

Nucleic acid detection, as an important molecular diagnostic method, is widely used in bacterial identification, disease diagnosis. For detecting the nucleic acid of bacteria, the prerequisite is to release nucleic acids inside the bacteria. The common means to release nucleic acids is the chemical method, which involves complex processes, is time-consuming, and remains chemical inhibitors. Compared with chemical methods, electroporation as a physical method has the advantages of easy operation, short-time consumption, and chemical reagents free. However, the current works using electroporation often necessitates high-frequency or high-voltage conditions, entailing bulky power devices. Herein, we propose a low-voltage alternant direct current (LADC) electroporation chip and the corresponding miniature device for ultrafast releasing the genome DNA from Helicobacter pylori (H. pylori) for detection. We connected a micrometer-interdigital electrode in the chip with a 20 V portable battery to make the miniature device. Using this low-voltage device, our chip released genome DNA of H. pylori within only 5 ms, achieving a cell lysis rate of 99.5%. We further combined this chip with a colorimetric loop-mediated isothermal amplification assay to visually detect H. pylori within ~ 25 min at 10 CFU/μL. We detected 11 clinical samples using the chip, and the detection results were consistent with those of the clinical standard. The results indicate that the LADC electroporation chip is useful for ultrafast release of genome DNA from bacteria and is expected to promote the development of nucleic acid detection in POCT and other scenarios. [ABSTRACT FROM AUTHOR]

The function of the respiratory chain is closely associated with kidney function, and the dysfunction of the respiratory chain is a primary pathophysiological change in chronic kidney failure. The incidence of chronic kidney failure caused by defects in respiratory-chain-related genes has frequently been overlooked. Correcting abnormal metabolic reprogramming, rescuing the "toxic respiratory chain", and targeting the clearance of mitochondrial reactive oxygen species are potential therapies for treating chronic kidney failure. These treatments have shown promising results in slowing fibrosis and inflammation progression and improving kidney function in various animal models of chronic kidney failure and patients with chronic kidney disease (CKD). The mitochondrial respiratory chain is a key target worthy of attention in the treatment of chronic kidney failure. This review integrated research related to the mitochondrial respiratory chain and chronic kidney failure, primarily elucidating the pathological status of the mitochondrial respiratory chain in chronic kidney failure and potential therapeutic drugs. It provided new ideas for the treatment of kidney failure and promoted the development of drugs targeting the mitochondrial respiratory chain. [ABSTRACT FROM AUTHOR]

Superhydrophobic cotton fabric was prepared by coating fluorine-free cationic polyhedral oligomeric siloxane/polydimethylsiloxane-modified polyacrylate emulsion using the pad-bath method. Due to the successful introduction of heptaoctylmethacryloxypropyl polyhedral oligomeric siloxane and monovinyl polydimethylsiloxane, the film with a rough structure and low surface energy was formed on the cotton fabric surface, exhibiting excellent superhydrophobicity with a water contact angle of 161°. Additionally, the finished cotton fabric showed exceptional self-cleaning and anti-foiling abilities. The finished cotton fabric had a separation efficiency of over 97% for oil–water mixtures and maintained a high separation efficiency of over 96% after 20 cycles of separating the n-hexane/water mixture. In addition, the separation of different water-in-oil emulsions was achieved by overlapping three layers of finished cotton fabric. This suggests that the as-prepared superhydrophobic cotton fabric will be a promising material in application for treating oil–water mixtures and water-in-oil emulsions due to the low-cost, simple fabrication method and the superior separation capabilities. [ABSTRACT FROM AUTHOR]

In recent years, the continuous growth of global carbon emissions has brought about climate change and global ecological environment problems, as well as severe challenges to the development of human settlements. Based on the concept of low carbon, this paper analyzes and summarizes the current situation of green space in typical residential areas, and quantifies its annual carbon sequestration. Then this paper discusses the design optimization strategy to improve its carbon sink efficiency based on the current situation. Finally, the effectiveness and enforce ability of the optimization strategy are verified by estimating the annual carbon sequestration increase value of the green space after the optimization strategy is applied to an example. The method has a certain reference value for the design and research of urban ecological human settlements with the concept of green and low carbon. [ABSTRACT FROM AUTHOR]

Nanophotonic metasurfaces are widely utilized in various domains, such as biomedical, healthcare, and environmental monitoring, benefiting from their unique advantages of label‐free, noninvasive, and real‐time response. However, nanophotonic metasurfaces usually rely on sophisticated instruments, and expensive and time‐consuming fabrication processes, which severely restricts their practical applications. Herein, a spatially gradient metasurface is integrated with an imaging‐based sensing scheme, waiving the requirement of spectrometers and achieving an ultrahigh imaging‐based sensitivity of 3321 pixels/refractive index unit superior to that characterized using conventional compact spectrometers. The metasurface is fabricated by nanoimprint lithography using a reusable cyclic olefin copolymer template featuring millions of unique nanostructures. Under the illumination of monochromatic light, the transmittance of different nanostructures on the metasurface differs, resulting in grayscale images with varied intensity distributions. Analyzing the intensity change of the metasurface's recorded image can obtain the covering medium's refractive index. Furthermore, through theory and experimentation, the high reliability of the proposed reusable and flexible template has been verified for nanophotonic metasurface fabrication which further reduces the fabrication cost of core sensing elements. Finally, with proper optimization of the metasurface structure and imaging system, this setup is expected to be applied to many emerging areas of point‐of‐care, real‐time, and on‐site biosensing. [ABSTRACT FROM AUTHOR]

Research has demonstrated the predictive effect of maternal childhood maltreatment on adolescent internalizing problems. However, few studies have explored the mediating mechanisms of how mothers' experiences of childhood maltreatment are transmitted to their offspring's internalizing problems over time. The present multi-informant study investigated the potential mediating effects of maternal depressive symptoms and offspring's childhood maltreatment experiences on the relation between maternal childhood maltreatment and adolescent internalizing problems. A total of 823 Chinese youth (43.4% girls; Mage = 10.26 years, SD = 0.94) and their mothers participated in a two-wave longitudinal study with one-year intervals. Mothers reported their experiences of childhood maltreatment and depressive symptoms, while youth reported their childhood maltreatment experiences and internalizing problems. Findings of path analysis indicated that maternal emotional abuse at T1 could significantly predict adolescent internalizing problems at T2, after controlling for a baseline of adolescent internalizing problems. Maternal emotional abuse, emotional neglect, and physical neglect at T1 can influence adolescent internalizing problems at T2 through maternal depressive symptoms at T1 to adolescent internalizing problems at T1. Maternal emotional abuse at T1 displayed statistically significant indirect effects on adolescent internalizing problems at T2 successively through the pathway from adolescent emotional abuse at T1 to adolescent internalizing problems at T1. The findings supported the cycle of maltreatment hypothesis. The present study highlights the intergenerational link between maternal childhood maltreatment and adolescent internalizing problems, as well as reveals the mediating mechanisms in this relation. [ABSTRACT FROM AUTHOR]

Background: Risk stratification systems for thyroid nodules are limited by low specificity. The fine-needle aspiration (FNA) biopsy size thresholds and stratification criteria are based on evidence from the literature and expert consensus. Our aims were to investigate the optimal FNA biopsy size thresholds in the American College of Radiology (ACR) Thyroid Imaging Reporting and Data System (TI-RADS) and artificial intelligence (AI) TI-RADS and to revise the stratification criteria in AI TI-RADS. Methods: A total of 2596 thyroid nodules (in 2511 patients) on ultrasound examination with definite pathological diagnoses were retrospectively identified from January 2017 to September 2021 in 6 participating Chinese hospitals. The modified criteria for ACR TI-RADS were as follows: (1) no FNA for TR3; (2) FNA threshold for TR4 increased to 2.5 cm. The modified criteria for AI TI-RADS were as follows: (1) 6-point nodules upgraded to TR5; (2) no FNA for TR3; (3) FNA threshold for TR4 increased to 2.5 cm. The diagnostic performance and the unnecessary FNA rate (UFR) of modified versions were compared with the original ACR TI-RADS. Results: Compared with the original ACR TI-RADS, the modified ACR (mACR) TI-RADS yielded higher specificity (73% vs. 46%), accuracy (74% vs. 51%), area under the receiver operating characteristic curve (AUC; 0.80 vs. 0.70), and lower UFR (25% vs. 48%; all p < 0.001), although the sensitivity was slightly decreased (87% vs. 93%, p = 0.057). Compared with the original ACR TI-RADS, the modified AI (mAI) TI-RADS yielded higher specificity (73% vs. 46%), accuracy (75% vs. 51%), AUC (0.81 vs. 0.70), and lower UFR (24% vs. 48%; all p < 0.001), although the sensitivity tended to be slightly decreased (89% vs. 93%, p = 0.13). There was no significant difference between the mACR TI-RADS and mAI TI-RADS in the diagnostic performance and UFR (all p > 0.05). Conclusions: The revised FNA thresholds and the stratification criteria of the mACR TI-RADS and mAI TI-RADS may be associated with improvements in specificity and accuracy, without significantly sacrificing sensitivity for malignancy detection. [ABSTRACT FROM AUTHOR]

This longitudinal study examined bidirectional relations between parental harsh punishment and psychoticism at the between‑ and within‑family levels in Chinese adolescents. There were 3,307 Chinese youth (43.6% girls, Mage = 11.30 years, SD = 0.24) who participated in a 4-wave longitudinal study, spaced 12 months apart. The results of cross-lagged panel modeling (i.e. CLPM) found the significant bidirectional relations between parental harsh punishment and psychoticism at the between-family level. However, the within-person level analysis of random intercept cross-lagged panel modeling (i.e. RI-CLPM) only revealed parental harsh punishment significantly predicted youth psychoticism, but not vice versa. Moreover, no sex differences were observed in the bidirectional relations between parental harsh punishment and psychoticism at the between- or within-family level. These results suggest parental harsh parenting could exacerbate the psychoticism trait at both the between- and within-family level, whereas the influence of young people's psychoticism on harsh parenting response from parents occurs only at the between-family level. The findings help to understand the nature of the dynamic process of change between psychoticism and harsh parenting among Chinese adolescents. [ABSTRACT FROM AUTHOR]

Classifying and quantifying small molecules on‐site with a rapid and cost‐effective operation are essential for pharmaceutical manufacturing, healthcare, hazardous risk control, and other applications. However, traditional molecular detection and identification methods like chromatography often involve expensive and bulky equipment and are required to be operated by trained professionals, which severely hinders the further development of small molecule‐based applications. Herein, a novel molecular detection platform is introduced by imaging a spatial gradient metasurface consisting of millions of different unique atoms and following with deep learning modeling to classify and quantify small molecules from mixed solutions accurately. The metasurface has a circular gradient geometry, which changes its transmittance intensity pattern based on the surrounding molecules under narrow‐band illumination. A convolutional neural network trained on the monochromatic images of the metasurface is employed. The results demonstrate a recognition rate of 96.88% for classification and a mean absolute error of 16.23% for quantification. This novel platform enables label‐free, sensitive, and rapid molecular classification and quantification, which opens a new avenue for small molecule classification and quantification and enables possibilities for real‐time, on‐site, and label‐free applications, including environmental monitoring, drug screening, and early diagnosis. [ABSTRACT FROM AUTHOR]

The coupling between multiple energy sources such as electricity, gas, and heat is strengthened in an integrated energy system (IES), and this, in turn, improves the operational flexibility of the IES. As an upper-level energy supply system, an IES can play a role as virtual energy storage, which can provide regulating power to smooth out the volatility from large-scale renewable energy generation. The establishment of an aggregating virtual energy storage model for IESs has become an important issue. Under this background, a multi-objective optimization-based adjustable capacity evaluation method is proposed in this paper. Firstly, the mathematical model of an IES considering the coupling of multiple kinds of energy forms is proposed. Then, an aggregating model considering demand response and economic constraints is established to demonstrate the adjustable capacity of the IES. In addition, multi-objective optimization is used to identify parameters in the proposed model, and the normal boundary intersection (NBI) method is used to solve the problem. Finally, a simulation example is provided to verify the effectiveness and feasibility of the proposed method. The external energy demand boundary of the IES can be modeled as virtual energy storage, and the coupling relations of electricity and gas can be presented. Case studies demonstrate that economic constraints narrow the adjustable capacity of the IES while the demand response extends it. [ABSTRACT FROM AUTHOR]

Objectives: To compare the on‐site diagnostic performance of contrast‐enhanced ultrasound (CEUS), computed tomography (CECT), and magnetic resonance imaging (CEMRI) for hepatocellular carcinoma (HCC) across diverse practice settings. Methods: Between May 2019 and April 2022, a total of 2085 patients with 2320 pathologically confirmed focal liver lesions (FLLs) were enrolled. Imaging reports were compared with results from pathology analysis. Diagnostic performance was analyzed in defined size, high‐risk factors for HCC, and hospital volume categories. Results: Three images achieved similar diagnostic performance in classifying HCC from 16 types of FLLs, including HCC ≤2.0 cm. For HCC diagnosis at low‐volume hospitals and HCC with high‐risk factors, the accuracy and specificity of CEUS were comparable to CECT and CEMRI, while the sensitivity of CEUS (77.4 and 89.5%, respectively) was inferior to CEMRI (87.0 and 92.8%, respectively). The diagnostic accuracy of CEUS + CEMRI and CEUS + CECT increased by 7.8 and 6.2% for HCC ≤2.0 cm, 8.0 and 5.0% for HCC with high‐risk factors, and 7.4 and 5.5% for HCC at low‐volume hospitals, respectively, compared with CEMRI/CECT alone. Conclusions: Compared with CECT and CEMRI, CEUS provides adequate diagnostic performance in clinical first‐line applications at high‐volume hospitals. Moreover, a higher diagnostic performance for HCC is achieved by combining CEUS with CECT/CEMRI compared with any single imaging technique. [ABSTRACT FROM AUTHOR]

Materials with passive daytime radiative cooling (PDRC) have drawn more attention as a result of their potential for energy savings. We prepared SiO2-encapsulated ZnO@ZIF-8 (ZZS) particles and a radiative cooling coating containing ZZS particles. Owing to the polyhedron structure and the phonon-polarization resonance of ZZS particles, the ZZS fabric coating could reflect sunlight with 83% and radiate heat to outer space with 0.96. Compared with the ambient air, its average temperature decreased by 6.4 °C, and the human body under direct sunlight could avoid overheating 3.9 °C. In addition, the ZZS coated fabric after rubbing still had good PDRC and its average temperature increased by 1.38℃ higher than the original ZZS coated fabric. Owing to good PDRC property, hydrophobicity, mechanical properties and simple methods, the widespread usage of ZZS coated fabric for personal thermal management appears to be promising. [ABSTRACT FROM AUTHOR]

In this study, phytic acid‐polydopamine functionalized GO (GO@PA@PDA) was first synthesized. The DOPO derivatives, hydroxyl‐terminated polydimethylsiloxane (PDMS) and GO@PA@PDA were incorporated into waterborne polyurethane (WPU) by in situ polymerization. The chemical structure of GO@PA@PDA was characterized by Fourier transform infrared spectroscopy, Raman spectroscopy, X‐ray diffraction, ultraviolet–visible (UV–vis) spectroscopy and scanning electron microscopy. A cone calorimeter test and a universal testing machine investigated the flame retardancy and mechanical properties of GO@PA@PDA modified waterborne polyurethane (GPD‐WPU). The results showed that the incorporation of GO@PA@PDA into WPU significantly enhanced the flame retardancy by reducing the heat release rate, total heat release, smoke production rate, and total smoke production. Furthermore, the mechanical properties of the GPD‐WPU composite films increased with the dosage of GO@PA@PDA from 0 to 2.0 wt%, and decreased slightly afterward. The contact angle and atomic force microscope measurements showed that the addition of GO@PA@PDA increased the surface roughness of GPD‐WPU composite film, thereby improving the hydrophobicity of GPD‐WPU composite films. Afterward, GPD‐WPU as a finishing agent was coated on polyester fabric. The experimental results of limiting oxygen index (LOI) and the vertical burning test indicated that when the dosage of GO@PA@PDA was 2.5 wt% in GPD‐WPU, after‐flame time, after‐glow time, damage length and LOI value of the coated polyester fabric were 2.9 s, 0 s, 6.8 cm, and 28.6%, respectively. [ABSTRACT FROM AUTHOR]

A meta‐analysis was performed to comprehensively assess the effects of video‐assisted thoracoscopy on surgical site wound infection and wound pain in patients with lung cancer. Studies on video‐assisted thoracoscopy for lung cancer were collected from PubMed, EMBASE, Cochrane Library, Web of Science, China National Knowledge Infrastructure, Chinese Biomedical Literature Database, and Wanfang database, from inception to January 2023. Two researchers independently screened the literature, extracted the data, and evaluated the quality of the included studies according to the inclusion and exclusion criteria. Meta‐analysis was performed using RevMan 5.4 software. Thirty‐one articles with a total of 3608 patients were included, with 1809 in the video‐assisted thoracoscopy group and 1799 in the control group. Compared with the control group, video‐assisted thoracoscopy significantly reduced surgical site wound infection (odds ratio: 0.22, 95% confidence interval [CI]: 0.14–0.33, P <.001) and surgical site wound pain at postoperative day 1 (standardised mean difference [SMD]: −0.90, 95% CI: −1.17 to −0.64, P <.001) and postoperative day 3 (SMD: −1.59, 95% CI: −2.25 to −0.92, P <.001). Thus, these results showed that video‐assisted thoracoscopy may have beneficial outcomes by reducing surgical site wound infection and pain. However, owing to the large variation in sample sizes and some methodological shortcomings, further validation is needed in future studies with higher quality and larger sample sizes. [ABSTRACT FROM AUTHOR]

Objective: To develop and validate a nomogram based on liver stiffness (LS) for predicting symptomatic post-hepatectomy (PHLF) in patients with hepatocellular carcinoma (HCC). Methods: A total of 266 patients with HCC were enrolled prospectively from three tertiary referral hospitals from August 2018 to April 2021. All patients underwent preoperative laboratory examination to obtain parameters of liver function. Two-dimensional shear wave elastography (2D-SWE) was performed to measure LS. Three-dimensional virtual resection obtained the different volumes including future liver remnant (FLR). A nomogram was developed by using logistic regression and determined by receiver operating characteristic (ROC) curve analysis and calibration curve analysis, which was validated internally and externally. Results: A nomogram was constructed with the following variables: FLR ratio (FLR of total liver volume), LS greater than 9.5 kPa, Child–Pugh grade, and the presence of clinically significant portal hypertension (CSPH). This nomogram enabled differentiation of symptomatic PHLF in the derivation cohort (area under curve [AUC], 0.915), internal fivefold cross-validation (mean AUC, 0.918), internal validation cohort (AUC, 0.876) and external validation cohort (AUC, 0.845). The nomogram also showed good calibration in the derivation, internal validation, and external validation cohorts (Hosmer–Lemeshow goodness-of-fit test, p = 0.641, p = 0.06, and p = 0.127, respectively). Accordingly, the safe limit of the FLR ratio was stratified using the nomogram. Conclusion: An elevated level of LS was associated with the occurrence of symptomatic PHLF in HCC. A preoperative nomogram integrating LS, clinical and volumetric features was useful in predicting postoperative outcomes in patients with HCC, which might help surgeons in the management of HCC resection. Clinical relevance statement: A serial of the safe limit of the future liver remnant was proposed by a preoperative nomogram for hepatocellular carcinoma, which might help surgeons in 'how much remnant is enough in liver resection'. Key Points: • An elevated liver stiffness with the best cutoff value of 9.5 kPa was associated with the occurrence of symptomatic post-hepatectomy liver failure in hepatocellular carcinoma. • A nomogram based on both quality (Child–Pugh grade, liver stiffness, and portal hypertension) and quantity of future liver remnant was developed to predict symptomatic post-hepatectomy liver failure for HCC, which enabled good discrimination and calibration in both derivation and validation cohorts. • The safe limit of future liver remnant volume was stratified using the proposed nomogram, which might help surgeons in the management of HCC resection. [ABSTRACT FROM AUTHOR]

Traditional Chinese medicine (TCM) is one of the oldest healing systems, which plays an essential role in daily health management. However, TCM is frequently controversial due to its subjectivity and lack of scientific quantification. Modern sensing technologies, enabling the detection of various physiological signals, have the remarkable performance of multifunctionality, superintegration, and ultraminiaturization. Combining with modern sensing technology is a good opportunity for the modernization, objectification, and scientization of TCM. This article proposes an intelligent wristband for simultaneous multiparameter measurement of pulse, skin temperature, and perspiration, essential physiological signals in TCM. As a significant functional material, a carbon nanotube/poly(dimethylsiloxane) nanocomposite with 3D interpenetrating network structures exhibits great electrical conductivity, stress effect, and thermoresistive effect, ensuring intelligent wristband's high accuracy, high sensitivity, and good stability for pulse and temperature measurements. Furthermore, the perspiration sensing unit is also integrated. The as‐prepared intelligent wristband is applied during fumigation and washing therapy, and artificial intelligence is introduced to judge whether the user is during fumigation and washing therapy or in the resting state by classifying the user's physiological state, with an accuracy of up to 100%. This work offers a unique strategy for TCM and wearable sensing technology with an important practical significance. [ABSTRACT FROM AUTHOR]

Parenting practices and relationships with peers are crucial aspects of youth socialization. Although theoretically expected reciprocal associations between changes in maladaptive parenting and adolescent peer victimization exist, there is a lack of studies that examine this link and address the mediating mechanisms at the within-person level. This longitudinal study examined reciprocal relations between peer victimization and two types of maladaptive parenting including harsh punishment and psychological control, and the potential mediating roles of internalizing and externalizing problems within these relations, by disentangling between- and within-person effects. A total of 4,731 Chinese early adolescents (44.9% girls; M age = 10.91 years, SD = 0.72) participated in a four-wave longitudinal study with 6-month intervals. The results of random intercept cross-lagged panel modeling showed: (a) harsh punishment did not directly predict peer victimization, and vice versa; (b) psychological control directly predicted peer victimization, and vice versa; (c) psychological control indirectly predicted peer victimization via internalizing problems, and peer victimization also indirectly predicted psychological control via internalizing problems. These findings provide evidence of a bidirectional spillover effect between psychological control and peer victimization at the within-person level, suggesting Chinese early adolescents may become caught in a vicious cycle directly or indirectly via their internalizing problems. [ABSTRACT FROM AUTHOR]