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As is well known, Laser print paper is usually produced with high‐quality chemical wood pulp. The laser print waste paper fiber (LPWF) is a high‐quality secondary fiber, and the research and development of high‐value utilization technology for laser print waste paper has attracted much attention in the field of renewable resource recycling. In this study, LPWF was used to reinforce poly(lactic acid) (PLA) composites in the field, and the composites were modified with bioenzyme, cationic polyacrylamide (CPAM), and nano‐silicon carbide (Nano‐SiC) to enhance the interfacial compatibility of LPWF/PLA composites. The study systematically investigated the effects of various modification methods on the characteristics and degradability of composites made from laser print waste paper fiber reinforced PLA resin matrix. The results showed that the mechanical properties of the composites treated with CPAM and Nano‐SiC were significantly improved, with tensile strengths of 54.3 and 59.5 MPa, and flexural strengths of 85.1 and 91.5 MPa, respectively, and the water absorption of the composites was reduced after the modification treatment, while the thermal stability was improved. The degradation performance of the composites in various water environments indicated that the inclusion of LPWF accelerated the water degradation rate of the composites, with the maximum degradation rate of the composite reaching 1.26% in 30 days. Highlights: Laser print waste paper is an excellent quality recyclable fiber resource.Four modifiers were used to modify LPWF/PLA composites.Characteristics and degradability of the composites were investigated.Significantly improved properties of CPAM and Nano‐SiC modified composites.The degradation rate of composites is increased by the addition of LPWF. [ABSTRACT FROM AUTHOR]

Immunodeficiency 11B with atopic dermatitis (IMD11B, OMIM:617638) is rare primary immunodeficiency disease caused by germline dominant negative (DN) mutations in the CARD11 gene. Affected patients present with immune dysfunction, recurrent infections and atopic dermatitis. In this study, we sought to identify and characterize the genetic variant in one patient with periodic fever, recurrent infections, and eczema. Trio whole-exome sequencing (WES) was employed in this patient and her parents, and Sanger sequencing validated the potential pathogenic variant. In vitro functional study was performed to evaluate the pathogenicity of genetic variant identified. A very rare missense mutation (c.2324C > T, p.S775L) in CARD11 gene (NM_032415) was identified by WES in the patient but not her parents. Luciferase reporter assays and co-immunoprecipitation demonstrated mutation exerts a dominant-interfering effect on wild-type CARD11, inhibiting the activity of NF-κB. RNA sequencing analysis also confirmed that mutant CARD11 inhibited down-stream transcriptional activity of NF-κB. A review of literature doesn't found significant genotype–phenotype correlation. We identified a vary rare DN CARD11 mutation, expanding the genetic and phenotypic spectrum of CARD11. [ABSTRACT FROM AUTHOR]

Exploring multiferroic materials that combine magnetic and ferroelectric properties is scientifically interesting and has important technical implications for many functions of nanoscale devices. In this work, spintronics and magnetoelectric coupling devices are proposed in two-dimensional (2D) layered ferromagnetic (FM)/ferroelectric (FE) van de Waals (vdW) heterostructures, VSeTe/Sc2CO2, employing density functional theory (DFT) calculations. The results indicate that the VSeTe/Sc2CO2 vdW heterostructure changes from a metal to a semiconductor in Sc2CO2-P↑ and Sc2CO2-P↓ polarization states. At the same time, the charge at the interface of the VSeTe/Sc2CO2 heterostructure will also be redistributed with the transformation of the ferroelectric polarization state, resulting in the change of the distribution of the electronic states near the Fermi level, and thus the change in the magnetic anisotropy energy (EMAE) of the heterostructure. Interestingly, biaxial strain brings reversibility and non-volatile regulation to the heterostructure of semiconductors and metals. The results provide an effective way to fabricate magnetoelectric coupling devices with 2D multiferroic heterostructures. [ABSTRACT FROM AUTHOR]

The Advanced Geostationary Radiation Imager (AGRI) carried by the FengYun-4A (FY-4A) satellite enables the continuous observation of local weather. However, FY-4A/AGRI infrared satellite observations are strongly influenced by clouds, which complicates their use in all-sky data assimilation. The presence of clouds leads to increased uncertainty, and the observation-minus-background (O−B) differences can significantly deviate from the Gaussian distribution assumed in the variational data assimilation theory. In this study, we introduce two cloud-affected (Ca) indices to quantify the impact of cloud amount and establish dynamic observation error models to address biases between O−B and Gaussian distributions when assimilating all-sky data from FY-4A/AGRI observations. For each Ca index, we evaluate two dynamic observation error models: a two-segment and a three-segment linear model. Our findings indicate that the three-segment linear model we propose better conforms to the statistical characteristics of FY-4A/AGRI observations and improves the Gaussianity of the O−B probability density function. Dynamic observation error models developed in this study are capable of handling cloud-free or cloud-affected FY-4A/AGRI observations in a uniform manner without cloud detection. [ABSTRACT FROM AUTHOR]

As a contender in the competitive landscape of next-generation wireless communication technologies, visible light communication (VLC) stands out due to its potential for enhancing transmission rates and spectrum resource utilization. VLC offers various advantages, including license-free operation, high confidentiality, and cost-effectiveness. However, practical implementation faces challenges stemming from the limited modulation bandwidth of light-emitting diodes (LEDs), constraining system capacity and VLC communication rates. To address this limitation, non-orthogonal multiple access (NOMA) emerges as a novel multiple access strategy, particularly suitable for enhancing the capacity and communication rates of downlink VLC systems through power multiplexing. This paper delves into the energy-efficient design of joint LED association and power allocation (LA–PA) for downlink NOMA-based VLC systems. Through an analysis of channel capacity, we transform the non-convex energy-efficient optimization model, accounting for signal non-negativity, per-LED optical power constraints, and user rate constraints, into a convex form. Subsequently, we propose an iterative power allocation algorithm to attain solutions for the optimization problem with pre-established LED associations. Furthermore, we derive a feasibility condition for an LED association, considering signal non-negativity, per-LED optical power constraints, power constraints for successive interference cancellation (SIC), and channel gain between transceiver signals. This condition identifies feasible LEDs capable of maximizing energy efficiency (EE) when combined with the aforementioned power allocation algorithm. Finally, we illustrate the superiority of the joint LA–PA scheme in terms of the EE, transmission reliability, and transmission capacity performance gain over NOMA in the context of VLC. [ABSTRACT FROM AUTHOR]

Although intravenous immunoglobulin (IVIG)-resistant Kawasaki disease (KD) presents with persistent inflammatory stimulation of the blood vessels and an increased risk of coronary artery dilatation. However, the pathogenesis of this disease is unclear, with no established biomarkers to predict its occurrence. This study intends to explore the utility of S100A12/TLR2-related signaling molecules and clinical indicators in the predictive modeling of IVIG-resistant KD. The subjects were classified according to IVIG treatment response: 206 patients in an IVIG-sensitive KD group and 49 in an IVIG-resistant KD group. Real-time PCR was used to measure the expression of S100A12, TLR2, MYD88, and NF-κB in peripheral blood mononuclear cells of patients, while collecting demographic characteristics, clinical manifestations, and laboratory test results of KD children. Multi-factor binary logistic regression analysis identified procalcitonin (PCT) level (≥ 0.845 ng/mL), Na level (≤ 136.55 mmol/L), and the relative expression level of S100A12 (≥ 10.224) as independent risk factors for IVIG-resistant KD and developed a new scoring model with good predictive ability to predict the occurrence of IVIG-resistant KD. [ABSTRACT FROM AUTHOR]

Background: The aim of this study was to find early predictors of Intravenous Immunoglobulin (IVIG)-Resistant Kawasaki Disease. Methods: Patients diagnosed with Kawasaki disease were enrolled in this study. Univariate analysis and multiple logistic regression were used to analyze the clinical characteristics and laboratory findings of patients in both groups before IVIG treatment. Independent predictors of Intravenous Immunoglobulin-Resistant Kawasaki Disease were analyzed, and a prediction model for children with Intravenous Immunoglobulin-Resistant Kawasaki Disease was constructed. Results: A total of 108 children (67 males and 41 females) with IVIG-sensitive Kawasaki disease and 31 children (20 males and 11 females) with IVIG-resistant Kawasaki disease participated in this study. Compared with the IVIG-sensitive group, the duration of hospitalization, ALT, AST, GLB, r-GT, IgG, PCT, and ESR was elevated in the IVIG-resistant KD group, and ATG16L1, LC3II, BECN1, RBC, HGB, ALB, A/G, and CK were significantly lower (P < 0.05). mRNA expression of ESR, BECN1, and LC3II were independent risk factors for IVIG-resistant Kawasaki disease. A logistic regression model and scoring system were established, and the cut-off values of independent risk factors were derived from ROC curves: ESR ≥ 79.5 mm/h, BECN1 ≤ 0.645, LC3II ≤ 0.481. A new scoring system was established according to the respective regression coefficients as follows: ESR ≥ 79.5 mm/h (1 point), BECN1 ≤ 0.645 (1 point). LC3II ≤ 0.481 (2 points), 0–1 as low risk for IVIG non-response, and ≥ 2 as high risk. Applied to this group of study subjects, the sensitivity was 87.10%, specificity 83.33%, Youden index 0.70, AUC 0.9. Conclusions: Autophagy markers ATG16L1, BECN1, and LC3II are down-regulated in the expression of IVIG -resistant KD. ESR, BECN1, and LC3II mRNAs are independent risk factors for IVIG-resistant KD and may be involved in the development of IVIG-resistant KD. This study established a new model that can be used to predict IVIG-resistant KD, and future validation in a larger population is needed. [ABSTRACT FROM AUTHOR]

An ensemble of 3D ensemble-variational (En-3DEnVar) data assimilations is demonstrated with the Joint Effort for Data assimilation Integration (JEDI) with the Model for Prediction Across Scales – Atmosphere (MPAS-A) (i.e., JEDI-MPAS). Basic software building blocks are reused from previously presented deterministic 3DEnVar functionality and combined with a formal experimental workflow manager in MPAS-Workflow. En-3DEnVar is used to produce an 80-member ensemble of analyses, which are cycled with ensemble forecasts in a 1-month experiment. The ensemble forecasts approximate a purely flow-dependent background error covariance (BEC) at each analysis time. The En-3DEnVar BECs and prior ensemble-mean forecast errors are compared to those produced by a similar experiment that uses the Data Assimilation Research Testbed (DART) ensemble adjustment Kalman filter (EAKF). The experiment using En-3DEnVar produces a similar ensemble spread to and slightly smaller errors than the EAKF. The ensemble forecasts initialized from En-3DEnVar and EAKF analyses are used as BECs in deterministic cycling 3DEnVar experiments, which are compared to a control experiment that uses 20-member MPAS-A forecasts initialized from Global Ensemble Forecast System (GEFS) initial conditions. The experimental ensembles achieve mostly equivalent or better performance than the off-the-shelf ensemble system in this deterministic cycling setting, although there are many obvious differences in configuration between GEFS and the two MPAS ensemble systems. An additional experiment that uses hybrid 3DEnVar, which combines the En-3DEnVar ensemble BEC with a climatological BEC, increases tropospheric forecast quality compared to the corresponding pure 3DEnVar experiment. The JEDI-MPAS En-3DEnVar is technically working and useful for future research studies. Tuning of observation errors and spread is needed to improve performance, and several algorithmic advancements are needed to improve computational efficiency for larger-scale applications. [ABSTRACT FROM AUTHOR]

This article studies the problem of structure-free distributed containment control for uncertain underactuated multiple Euler-Lagrange systems (MELSs) considering disturbances by using a layered approach. First, the second layer is the virtual layer constructed artificially for hierarchical control. We move all virtual nodes to the convex hull formed by leaders in the first layer by implementing containment control algorithms on all virtual nodes. Then, the third layer is the following layer, and we propose an adaptive robust tracking controller to ensure that each follower in the third layer tracks the corresponding virtual node in the second layer. So far, the underactuated MELSs can achieve containment control. Furthermore, through the theoretical derivation, sufficient conditions are obtained to achieve the objective of structure-free containment control. Finally, the effectiveness of the proposed stratified structure-free containment control method is verified by a simulation example. [ABSTRACT FROM AUTHOR]

Coronary artery lesions (CALs) are the most common and serious complication of Kawasaki disease (KD), and the pathogenesis is unknown. Exploring KD-specific biomarkers and related risk factors is significant for clinical diagnosis and treatment. This study aimed to explore the feasibility of combining clinical indicators with S100A12/TLR2-associated signaling molecules for the predictive modeling of CALs in KD. A total of 346 patients (224 males and 122 females) with KD who visited the rheumatology department of Wuhan Children's Hospital between April 2022 and March 2025 were enrolled and divided into two groups according to the presence or absence of CALS (292 patients had CALs and 54 patients did not). Forty-one variables were collected from the two groups, including demographic characteristics, clinical manifestations, and laboratory data. Single nucleated cells from each patient were extracted, and the expression of the S100A12/TLR2 signal transduction-related molecules S100A12, TLR2, MYD88, and NF-κB were detected by real-time fluorescent quantitative polymerase chain reaction. Statistically significant variables were subjected to logistic regression analysis to determine the independent risk factors for KD with CALs, and a new risk score model was established to assess the predictive efficacy based on receiver operating characteristic curves. Sixteen variables significantly differed between the no-CALs and CALs groups: gender, fever duration, white blood cells (WBC), hemoglobin (HGB), Ce reactive protein (CRP), procalcitonin, serum ferritin (SF), erythrocyte sedimentation rate (ESR), fibrinogen (FIB), aspartate aminotransferase-to-alanine aminotransferase ratio (AST/ALT), serum albumin (ALB), sodium (Na), Interleukin (IL-10), tumor necrosis factor (TNF-α), S100 calcium binding protein A12 (S100A12), and Myeloid Differentiation Factor 88 (MYD88) (p < 0.05). After performing a univariate analysis, 12 variables (gender, fever duration, WBC, HGB, CRP, SF, ESR, FIB, AST/ALT, ALB, Na, and S100A12) were included in the multifactorial binary logistic regression, which showed that fever duration ≥ 6.5 days, ESR ≥ 46.5 mm/h, AST/ALT ≤ 1.51, and S100A12 ≥ 10.02 were independent risk factors for KD with CALs and were assigned scores of 3, 2, 1, and 2, respectively, according to the odds ratio (OR). The total score of each patient was counted, and a new prediction model for KD combined with CALs was established, where < 3.5 was considered low risk and ≥ 3.5 was regarded as high risk; the sensitivity, specificity, Jorden index, and area under the curve of this scoring system were 0.667, 0.836, 0.502, and 0.838, respectively. This new scoring model has good efficacy for predicting the occurrence of KD with CALs. The expression of S100A12 was significantly increased in the CALs group and was an independent risk factor for the occurrence of CALs, and has the potential as a biomarker for predicting KD with CALs. [ABSTRACT FROM AUTHOR]

Background: Neuro-Behçet's disease (NBD), characterized by isolated intracranial hypertension, is a rarely encountered condition, especially in children. In this study, we describe the treatment of a pediatric patient with NBD, who exhibited isolated intracranial pressure elevation as indicated by the initial manifestation of diplopia and physical examination finding of papilledema. Case presentation: An 8-year-old boy was admitted to the hospital with a confirmed diagnosis of Behçet's disease (BD) over eight months. The patient also presented with the symptom of diplopia for three days. The evaluation of the patient's nervous system did not reveal any apparent abnormalities. The measurement of cerebrospinal fluid pressure yielded a reading of 470 mm H2O. The examination of the fundus indicated papilledema, and imaging scans revealed evidence of focal demyelination. The symptoms of the child showed alleviation after the administration of mannitol, methylprednisolone, and azathioprine. Furthermore, this study involved a comprehensive analysis of 18 cases of NBD with isolated intracranial hypertension, comprising one case reported herein and 17 cases from the literature review. Three cases were children, and an equal distribution of males and females 9:9 was noted. The average age at the onset of symptoms was 24.7 years (8-38 years). Headache (90%) was the most commonly reported clinical manifestation, followed by blurred vision or diplopia (80%). The ocular manifestations included papilledema (100%), abducent nerve paralysis (20%) and local eye hemorrhages in the retina (30%). Notably, 88.9% of these ocular manifestations were relieved or cured after treatment. Conclusion: This study presents the first reported case of NBD with isolated intracranial hypertension in the pediatric population of China. In a child with Bechet's disease presenting with features of raised intracranial pressure, it is important to be aware of neuro Bechet's presenting with intracranial hypertension without other neurological abnormalities. This will help make early diagnosis, institute treatment and prevent sequelae resulting from untreated raised intracranial pressure. [ABSTRACT FROM AUTHOR]

Identifying the causes of accidents is essential for learning lessons and preventing similar accidents. Safety capability factors cannot be ignored when considering the causes of accidents. Therefore, safety capability is an important perspective to develop a cause analysis framework. This study focuses on a cause analysis framework based on safety capability in the 24Model. First, this study introduces the safety capability in the 24Model and elaborates on the five safety capability dimensions. Second, a 24Model‐based causal analysis framework from a safety capability perspective and its application process is proposed. Third, the Tianjiayi explosion accident is analyzed using the proposed framework. In this accident, fourteen safety capability factors in four categories: safety knowledge, safety awareness, safety habits, and safety psychology are identified and analyzed. The case study provides a critical process demonstration for analyzing safety capability factors and validates the usability of the proposed framework. Additionally, the strengths of the framework and the limitations of the study are discussed. In the future, this framework can facilitate the development of a safety capability factor database and data‐driven safety management approaches. [ABSTRACT FROM AUTHOR]

Simple Summary: During the early era of the COVID-19 pandemic, studies recommended delaying surgery for COVID-19 patients, given the high perioperative risk of preoperative SARS-CoV-2 infection. But in the context of widespread COVID-19 vaccination and less virulent variants, the timing of surgery for cancer patients remains unclear. In this study, we aimed to investigate the affection of preoperative mild SARS-CoV-2 Omicron infection on surgical outcomes in liver cancer patients. The average time from SARS-CoV-2 infection to surgery was 18.7 (range 7–49) days. Pre- and post-matching, there was no significant difference in preoperative characteristics and surgical outcomes between patients who had recovered from mild SARS-CoV-2 Omicron infection and those who were non infected. Postoperative major pulmonary and cardiac complications were associated with preexisting comorbidities, open surgery and COVID-19 unvaccinated, but not preoperative SARS-CoV-2 infection. Therefore, elective cancer surgery can be safely performed after recovery for patients with a history of mild SARS-CoV-2 Omicron infection. With the emergence of new virus variants, limited data are available on the impact of SARS-CoV-2 Omicron infection on surgery outcomes in cancer patients who have been widely vaccinated. This study aimed to determine whether undergoing hepatectomy poses a higher risk of postoperative complications for liver cancer patients who have had mild Omicron infection before surgery. A propensity-matched cohort study was conducted at a tertiary liver center from 8 October 2022 to 13 January 2023. In total, 238 liver cancer patients who underwent hepatectomy were included, with 57 (23.9%) recovering from preoperative SARS-CoV-2 Omicron infection and 190 (79.8%) receiving COVID-19 vaccination. Pre- and post-matching, there was no significant difference in the occurrence of postoperative outcomes between preoperative COVID-19 recovered patients and COVID-19 negative patients. Multivariate logistic regression showed that the COVID-19 status was not associated with postoperative major pulmonary and cardiac complications. However, preexisting comorbidities (odds ratio [OR], 4.645; 95% confidence interval [CI], 1.295–16.667), laparotomy (OR, 10.572; 95% CI, 1.220–91.585), and COVID-19 unvaccinated (OR, 5.408; 95% CI, 1.489–19.633) had increased odds of major complications related to SARS-CoV-2 infection. In conclusion, liver cancer patients who have recovered from preoperative COVID-19 do not face an increased risk of postoperative complications. [ABSTRACT FROM AUTHOR]

Background: Some juvenile idiopathic arthritis (JIA) patients have a familial aggregation of the disease, and a few have been found to have a juvenile arthritis (JA) phenotype caused by a genetic mutation. JA due to LACC1 defects is a rare condition and it was never reported in China. Methods: The clinical and molecular characteristics of a child with LACC1 gene mutation‐related juvenile arthritis, diagnosed by high‐throughput sequencing in Wuhan children's Hospital in 2021 were analyzed retrospectively; The literature and database were reviewed to summarize the clinical data and genotype characteristics of patients with JA caused by LACC1 gene mutation. Results: Here, we report a 19‐month‐old Chinese male patient who presented with bilateral limb edema without a history of fever. Laboratory tests showed had moderate anemia and signs of inflammation: hemoglobin of 76 g/L, white blood cell count of 20.53 × 109, and platelet count of 1194 × 109; MRI showed the patient had synovitis and tenosynovitis in bilateral hands and wrists. Whole‐exome sequencing (WES) detected compound heterozygous variants, novel c.446_449dupTAAA and c.889T>C, in the LACC1 gene. Of the 52 patients reported in the literature (including this case), 38.9% had clinical symptoms of systemic juvenile idiopathic arthritis (sJIA), which tended to be caused by loss‐of‐function (LOF) mutation. Findings in this study expanded the spectrum of pathogenic variants and reveal the phenotypic heterogeneity of LACC1‐JA. Conclusions: Our study reported a rare case of juvenile arthritis, which is due to the compound heterozygous mutation of LACC1, including a new novel frameshift mutation c.446_449dupTAAA, and LACC1 C297R variant causes disease by potentially modifying the local conformation of proteins. The clinical and genetic findings in our study show that LACC1‐JA is highly heterogeneous, and gene testing is required for juvenile arthritis patients with a high inflammatory response at a young onset age. [ABSTRACT FROM AUTHOR]

The largemouth bass Micropterus salmoides is a carnivorous fish species that is widely farmed in China using artificial compound feeds. Alterations from its natural diet affect intestinal microbiota structure and growth performance and can reduce disease and stress resistance. In this study, we examined growth performance, immunity, intestinal microflora, and resistance to Aeromonas veronii infections-fed prey fish (PF) and artificial compound feed (ACF). Weight gains in the PF group were 27% significantly (P < 0.05) greater than the ACF group. Antioxidant enzyme activities of superoxide dismutase, catalase, and glutathione peroxidase and mRNA expression of inducible nitric oxide synthase, transforming growth factor β1, and interleukin 10 were also significantly higher than for the ACF group. In contrast, levels of malondialdehyde were lower for the PF group consistent with the antioxidant activities. These results indicated that the commercial artificial compound diet reduced the immunity and anti-stress ability of the fish. Survival in against A. versonii infection were similar although the PF fish resisted the infection to a greater extent and succumbed at a slower rate. The gut microbiomes also differed between the PF and ACF feeding groups and operational taxonomic units were 1105.75 and 971.63, respectively. The high abundance of Verrucomicrobia were associated with weight gain and enhanced immunity for the PF group and were significantly (P < 0.05) higher than that in ACF group. Bacteroidetes abundance was closely related to weight loss in the ACF group. The results of this study suggest that the changes in intestinal microflora structure caused by dietary changes in largemouth bass affected its growth performance and reduce its immune and anti-stress abilities and provide a theoretical basis for the improvement of largemouth bass compound feeds. [ABSTRACT FROM AUTHOR]

Cinnamomum cassia (L.) Presl (cinnamon), an important folk medicine is widely used to prevent osteoporosis for long time in China. Our study aimed to investigate the anti-osteoporosis activity and mechanisms of cinnamon extracts obtained by supercritical CO2 extraction (SFE) and identify activity associated chemical components by gas chromatography-mass spectrometry. The cinnamon SFE exhibited superior anti-osteoporosis efficacy in an ovariectomised mice model to common alcohol extracts. It could induce calcified nodules and ALP activity, upregulate the mRNA expression of ALP, BMP-2, and RUNX2 in MC3T3-E1 cells. The major chemical classes of cinnamon extracts were alcohol esters (28.2%), and terpenes (16.1%). The spectrum-activity analysis indicated that the potential chemical-markers of extracts could be (E)-Cinnamaldehyde, γ-Sitosterol, and (Z, Z)-9,12-Octadecadienoic acid, which could induce the proliferation and ALP activity in MC3T3-E1 cells. Our study revealed the promising applications of the cinnamon SFE in prevention of osteoporosis, and identified its anti-osteoporosis associated compounds. [ABSTRACT FROM AUTHOR]

Biodegradable radiative cooling materials can achieve both zero‐energy cooling and environmental friendliness. Natural silk cocoon exhibits both high solar reflectivity and mid‐infrared emissivity owing to its unique structure and composition, while it possesses excellent biodegradability. Herein, we restructure the natural silk by electrospinning to obtain scalable and biodegradable silk fibroin (SF) fiber membranes with enhanced optical properties. Specially, nano‐sized fibers exhibit better optical properties than micrometer‐sized ones. The fabricated SF nanofiber membrane can achieve ultra‐high average solar reflectance and infrared emittance of 96% and ~97%, respectively. Such outstanding optical properties enables the fiber membrane to yield an average sub‐ambient cooling temperature of ~6°C in the outdoor environment even under a peak solar intensity of ~800 W m−2. Overall, the resulted SF fiber membranes promise a wide range of applications such as building energy efficiency, cold‐chain transportation, in‐vehicle temperature control, outdoor precision instrument protection and outdoor personal thermal management. [ABSTRACT FROM AUTHOR]

Flexible piezoresistive sensors (FPSs) have the advantages of compact structure, convenient signal acquisition and fast dynamic response; they are widely used in motion detection, wearable electronic devices and electronic skins. FPSs accomplish the measurement of stresses through piezoresistive material (PM). However, FPSs based on a single PM cannot achieve high sensitivity and wide measurement range simultaneously. To solve this problem, a heterogeneous multi-material flexible piezoresistive sensor (HMFPS) with high sensitivity and a wide measurement range is proposed. The HMFPS consists of a graphene foam (GF), a PDMS layer and an interdigital electrode. Among them, the GF serves as a sensing layer, providing high sensitivity, and the PDMS serves as a supporting layer, providing a large measurement range. The influence and principle of the heterogeneous multi-material (HM) on the piezoresistivity were investigated by comparing the three HMFPS with different sizes. The HM proved to be an effective way to produce flexible sensors with high sensitivity and a wide measurement range. The HMFPS-10 has a sensitivity of 0.695 kPa−1, a measurement range of 0–14,122 kPa, fast response/recovery (83 ms and 166 ms) and excellent stability (2000 cycles). In addition, the potential application of the HMFPS-10 in human motion monitoring was demonstrated. [ABSTRACT FROM AUTHOR]

Liquid metal (LM)‐based soft and wearable sensors have great potential for applications in human motion monitoring and human‐machine interfaces. To avoid smearing of exposed LM, it is necessary to encapsulate LM with elastomers, which decreases the breathability and results in discomfort and even skin irritation. To solve this problem, this work proposes a breathable encapsulated LM foam (BELMF)‐based soft stress sensor. By using two polydimethylsiloxane foam layers, the BELMF‐based sensor achieves non‐smearing and breathability. Meanwhile, a three‐dimensional electrode is designed to implement the electric connection without decreasing breathability. Appling stress to the BELMF‐based sensor makes the LM foam collapse and forms new conductive paths, which reduces the resistance of the sensor. The sensitivity of the BELMF‐based sensor can reach 1.4 Pa−1. The mechanisms of the breathable encapsulation and the sensor are investigated through experiments and simulations. In addition, the potential applications of the BELMF‐based sensor for monitoring human motion are demonstrated. [ABSTRACT FROM AUTHOR]

The regularity model-based multi-objective estimation of distribution algorithm (RM-MEDA) employs the local principal component analysis to split the population into several clusters, and each cluster is used to construct an affine subspace by combing the cluster center, principal components and additional Gaussian noise. However, such affine subspace greatly limits the sampling range of trail solutions, which will lead to the rapid loss of population diversity. To address this issue, an improved RM-MEDA with auto-controllable population diversity (RM-MEDA-AcPD) is suggested in this paper. In RM-MEDA-AcPD, the simplex crossover method is employed to extend the representation range of the affine subspace, the main purpose of which is to push solutions forward along the orthogonal direction of the affine subspace. In addition, a random noise model related to the evolution process is designed to replace the original Gaussian noise model, which reduces the risk of rapid loss of population diversity. In experimental studies, we have compared eight regularity property-based multi-objective evolutionary algorithms with the RM-MEDA-AcPD on benchmark problems with disconnected Pareto fronts. The experimental results demonstrate that the performance of RM-MEDA-AcPD significantly outperforms the other nine comparison algorithms in solving these test instances. [ABSTRACT FROM AUTHOR]

Herein we develop a facile, one-step electrochemical approach for the in situ construction of a Co/CoP crystalline-amorphous hetero-phase catalyst towards the hydrogen evolution reaction (HER). The unique catalyst demonstrates a low overpotential of 83 mV at 10 mA cm−2 with a small Tafel slope of 55.3 mV dec−1 in 1.0 M KOH. The Co/CoP crystalline-amorphous hetero-phase is highly conducive to regulating the Co–P electronic structure and weakening the H atom adsorption, thus markedly boosting the HER performance. This work offers an innovative strategy to develop a highly efficient transition metal phosphide electrocatalyst with a novel structure. [ABSTRACT FROM AUTHOR]

SHR0302, a selective JAK1 inhibitor developed by Jiangsu Hengrui Pharmaceutical Co., was intended for the treatment of rheumatoid arthritis. In this study, we evaluated the pharmacokinetics, mass balance, and metabolism of SHR0302 in six healthy Chinese male subjects after a single 8 mg (80 µCi) oral dose of [14C]SHR0302. SHR0302 was absorbed rapidly (Tmax = 0.505 h), and the average t1/2 of the SHR0302-related components in plasma was approximately 9.18 h. After an oral dose was administered, the average cumulative excretion of the radioactive components was 100.56% ± 1.51%, including 60.95% ± 11.62% in urine and 39.61% ± 10.52% in faeces. A total of 16 metabolites were identified. In plasma, the parent drug SHR0302 accounted for 90.42% of the total plasma radioactivity. In urine, SHR161279 was the main metabolite, accounting for 33.61% of the dose, whereas the parent drug SHR0302 only accounted for 5.1% of the dose. In faeces, the parent drug SHR0302 accounted for 23.73% of the dose, and SHR161279 was the significant metabolite, accounting for 5.67% of the dose. In conclusion, SHR0302-related radioactivity was mainly excreted through urine (60.95%) and secondarily through faeces (39.61%). The metabolic reaction of SHR0302 in the human body is mainly through mono-oxidation and glucuronidation. The main metabolic location of SHR0302 in the human body is the pyrrolopyrimidine ring. [ABSTRACT FROM AUTHOR]

Liquid metal elastomer (LME)—that is, liquid metal particles dispersed in elastomer—is a soft material that has useful electric, dielectric, and thermal properties. Two issues with LME are sought to be addressed: 1) the dense liquid metal (LM) particles can settle before curing of the elastomer, and 2) the LM particles are separated by a thin layer of insulating elastomer and therefore require some "mechanical sintering" to break this layer to create conductive paths. These issues are addressed using an LME containing elastic particles (LMEP). Elastic polydimethylsiloxane particles (PPs) and LM particles jam to prevent particle settling. Meanwhile, the PPs reduce the loading necessary to create conductive paths, thus decreasing the density and cost relative to LME. Surprisingly, the particles percolate into conductive paths prior to curing the LMEP but not in LME. The dielectric constant, electrical conductivity, and thermal conductivity of LMEPs are investigated by changing the volume fraction of LM particles, polydimethylsiloxane pre‐polymer and PPs, and propose an LMEP with the optimal ratio. In addition, LMEP‐based sensors and circuits are demonstrated for wearable electronics. [ABSTRACT FROM AUTHOR]

Multi-furnace scheduling simultaneously is an important part to increase productivity and reduce the production cost in single crystal silicon enterprises. In the restrained power consumption requirements environment, the optimal sequencing of process operation start-time for single crystal furnaces is a challenging problem. To solve this problem, the scheduling model of multi-furnace scheduling is established in this paper to minimize the maximum completion time. Then, an improved DE algorithm called the multi-strategy individual adaptive mutation differential evolution algorithm (MSIADE) is presented to address the scheduling model. In the improved DE algorithm, the different dimensional and multi-strategy mutation operations are adopted to refrain the algorithm from the local optimal, then the different mutation factors are assigned to each individual through the rank of fitness function value to strengthen the exploration ability of the MSIADE algorithm. Simulation experiments results based on the standard test functions and the established scheduling model show the feasibility in the established model and the effectiveness in the proposed algorithm. [ABSTRACT FROM AUTHOR]

Considering the widely existing processing time uncertainty in the real-world production process, this paper constructs a fuzzy mathematical model for the silicon single crystal production batch scheduling problem to minimize the maximum completion time. In this paper, a two-stage hybrid optimization algorithm (TSHOA) is proposed for solving the scheduling model. Firstly, the improved differential evolution algorithm (IDE) is used to solve the order quantity allocation problem of silicon single crystal with different sizes to obtain the quantity of silicon single crystal rods with different sizes produced by different types of single crystal furnaces. Secondly, the variable neighborhood search (VNS) algorithm is adopted to optimize the order quantity sequencingof batch production processes. Finally, simulations and comparisons demonstrate the feasibility of the model and the effectiveness of TSHOA. [ABSTRACT FROM AUTHOR]

On 24 September 2021, JEDI-MPAS 1.0.0, a new data assimilation (DA) system for the Model Prediction Across Scales – Atmosphere (MPAS-A) built on the software framework of the Joint Effort for Data assimilation Integration (JEDI) was publicly released for community use. Operating directly on the native MPAS unstructured mesh, JEDI-MPAS capabilities include three-dimensional variational (3DVar) and ensemble–variational (EnVar) schemes as well as the ensemble of DA (EDA) technique. On the observation side, one advanced feature in JEDI-MPAS is the full all-sky approach for satellite radiance DA with the introduction of hydrometeor analysis variables. This paper describes the formulation and implementation of EnVar for JEDI-MPAS. JEDI-MPAS 1.0.0 is evaluated with month-long cycling 3DEnVar experiments with a global 30–60 km dual-resolution configuration. The robustness and credible performance of JEDI-MPAS are demonstrated by establishing a benchmark non-radiance DA experiment, then incrementally adding microwave radiances from three sources: Advanced Microwave Sounding Unit-A (AMSU-A) temperature sounding channels in clear-sky scenes, AMSU-A window channels in all-sky scenes, and Microwave Humidity Sounder (MHS) water vapor channels in clear-sky scenes. JEDI-MPAS 3DEnVar behaves well with a substantial and significant positive impact obtained for almost all aspects of forecast verification when progressively adding more microwave radiance data. In particular, the day 5 forecast of the best-performing JEDI-MPAS experiment yields an anomaly correlation coefficient (ACC) of 0.8 for 500 hPa geopotential height, a gap of roughly a half day when compared to cold-start forecasts initialized from operational analyses of the National Centers for Environmental Prediction, whose ACC does not drop to 0.8 until a lead time of 5.5 d. This indicates JEDI-MPAS's great potential for both research and operations. [ABSTRACT FROM AUTHOR]

Bipolar plate (BP) is one of the crucial components in proton exchange membrane fuel cells (PEMFCs). In extreme cold weather, massive vapor condensation happens right at vehicle start‐ups, which likely causes "water flooding" and thus shortens the lifespan of PEMFCs. Herein, a superhydrophobic stainless steel bipolar plate (SH‐SS BP) that is fabricated by nanosecond laser ablation is reported. Through a repeated low‐energy processing strategy, fractal surface microstructure is fabricated, which has not been reported for SS BP. By grafting stearic acid (SA) monolayer, a robust SH‐SS BP is obtained with a contact angle of 151.74°. The fractal microstructure greatly enhances the contact area between SH‐SS BP and membrane electrode assembly (MEA), which improves interfacial contact resistance (ICR: 9.816 mΩ cm2 at 1.5 MPa). The SH‐SS BP shows significantly enhanced anticorrosion performance (Icorr= 8.191×10‐8 A cm−2) by effectively reducing penetration of corrosive. The ability of improving water management in PEMFC under extreme cold condition is further demonstrated in a simulated PEMFC. This study opens new opportunity to reinforce metallic BPs by a simple, low‐cost, and robust route, which is valuable in improving comprehensive weather fastness of PEMFC. [ABSTRACT FROM AUTHOR]

Membrane vesicles, a group of nano- or microsized vesicles, can be internalized or interact with the recipient cells, depending on their parental cells, size, structure and content. Membrane vesicles fuse with the target cell membrane, or they bind to the receptors on the cell surface, to transfer special effects. Based on versatile features, they can modulate the functions of immune cells and therefore influence immune responses. In the field of tumor therapeutic applications, phospholipid-membrane-based nanovesicles attract increased interest. Academic institutions and industrial companies are putting in effort to design, modify and apply membrane vesicles as potential tumor vaccines contributing to tumor immunotherapy. This review focuses on the currently most-used types of membrane vesicles (including liposomes, bacterial membrane vesicles, tumor- and dendritic-cell-derived extracellular vesicles) acting as tumor vaccines, and describes the classification, mechanism and application of these nanovesicles. [ABSTRACT FROM AUTHOR]

Direct chemical modification of native antibodies in a site‐specific manner remains a great challenge. Ligand‐directed conjugation can achieve the selective modification of antibodies, but usually requires multiple extra steps for ligand release and cargo assembly. Herein, we report a novel, traceless strategy to enable the facile and efficient one‐step synthesis of site‐specific antibody‐drug conjugates (ADCs) by harnessing a thioester‐based acyl transfer reagent. The designed reagent, consisting of an optimized Fc‐targeting ligand, a thioester bridge and a toxin payload, directly assembles the toxin precisely onto the K251 position of native IgGs and simultaneously self‐releases the affinity ligand in one step. With this method, we synthesized a series of K251‐linked ADCs from native Trastuzumab. These ADCs demonstrated excellent homogeneity, thermal stability, and both in vitro and in vivo anti‐tumor activity. This strategy is equally efficient for IgG1, IgG2, and IgG4 subtypes. [ABSTRACT FROM AUTHOR]

Direct chemical modification of native antibodies in a site‐specific manner remains a great challenge. Ligand‐directed conjugation can achieve the selective modification of antibodies, but usually requires multiple extra steps for ligand release and cargo assembly. Herein, we report a novel, traceless strategy to enable the facile and efficient one‐step synthesis of site‐specific antibody‐drug conjugates (ADCs) by harnessing a thioester‐based acyl transfer reagent. The designed reagent, consisting of an optimized Fc‐targeting ligand, a thioester bridge and a toxin payload, directly assembles the toxin precisely onto the K251 position of native IgGs and simultaneously self‐releases the affinity ligand in one step. With this method, we synthesized a series of K251‐linked ADCs from native Trastuzumab. These ADCs demonstrated excellent homogeneity, thermal stability, and both in vitro and in vivo anti‐tumor activity. This strategy is equally efficient for IgG1, IgG2, and IgG4 subtypes. [ABSTRACT FROM AUTHOR]

In this study, the ORR mechanisms by using of Ni-SiNT(7, 0), Ti-SiNT(9, 0) and Cu-Si72 as catalysts are examined. The reaction energies and activation barrier energies of reaction mechanisms on silicon nanotube and silicon nanocage are calculated and compared with corresponding values of Platinum based compounds. The silicon nanotube and silicon nanocage has great tolerance for CO poisoning than Platinum based catalysts. The formation of *OH-catalyst and hydrogenation of *OH-catalyst to product of *catalyst and H2O are rate-limiting of paths 1 and 2. The over potential on silicon nanotube and silicon nanocage are 0.38, 0.39 and 0.35 V. The Ni-SiNT(7, 0), Ti-SiNT(9, 0) and Cu-Si72 are suggested to catalyze the ORR with higher performance than Platinum catalysts. [ABSTRACT FROM AUTHOR]

Largemouth bass is an important commercially farmed fish in China, but the rapid expansion of its breeding has resulted in increased incidence of diseases caused by bacteria, viruses and parasites. In this study, moribund largemouth bass containing ulcer foci on body surfaces indicated the most likely pathogens were iridovirus and rhabdovirus members and this was confirmed using a combination of immunohistochemistry, cell culture, electron microscopy and conserved gene sequence analysis. We identified that these fish had been co-infected with these viruses. We observed bullet-shaped virions (100–140 nm long and 50–100 nm in diameter) along with hexagonal virions with 140 nm diameters in cell culture inoculated with tissue homogenates. The viruses were plaque purified and a comparison of the highly conserved regions of the genome of these viruses indicated that they are most similar to largemouth bass virus (LMBV) and hybrid snakehead rhabdovirus (HSHRV), respectively. Regression infection experiments indicated fish mortalities for LMBV-FS2021 and HSHRV-MS2021 were 86.7 and 11.1%, respectively. While co-infection resulted in 93.3% mortality that was significantly (p < 0.05) higher than the single infections even though the viral loads differed by >100-fold. Overall, we simultaneously isolated and identified LMBV and a HSHRV-like virus from diseased largemouth bass, and our results can provide novel ideas for the prevention and treatment of combined virus infection especially in largemouth bass. [ABSTRACT FROM AUTHOR]

Background: Structural magnetic resonance imaging (sMRI) reveals abnormalities in patients with autism spectrum syndrome (ASD). Previous connectome studies of ASD have failed to identify the individual neuroanatomical details in preschool-age individuals. This paper aims to establish an individual morphological connectome method to characterize the connectivity patterns and topological alterations of the individual-level brain connectome and their diagnostic value in patients with ASD. Methods: Brain sMRI data from 24 patients with ASD and 17 normal controls (NCs) were collected; participants in both groups were aged 24–47 months. By using the Jensen–Shannon Divergence Similarity Estimation (JSSE) method, all participants's morphological brain network were ascertained. Student's t -tests were used to extract the most significant features in morphological connection values, global graph measurement, and node graph measurement. Results: The results of global metrics' analysis showed no statistical significance in the difference between two groups. Brain regions with meaningful properties for consensus connections and nodal metric features are mostly distributed in are predominantly distributed in the basal ganglia, thalamus, and cortical regions spanning the frontal, temporal, and parietal lobes. Consensus connectivity results showed an increase in most of the consensus connections in the frontal, parietal, and thalamic regions of patients with ASD, while there was a decrease in consensus connectivity in the occipital, prefrontal lobe, temporal lobe, and pale regions. The model that combined morphological connectivity, global metrics, and node metric features had optimal performance in identifying patients with ASD, with an accuracy rate of 94.59%. Conclusion: The individual brain network indicator based on the JSSE method is an effective indicator for identifying individual-level brain network abnormalities in patients with ASD. The proposed classification method can contribute to the early clinical diagnosis of ASD. [ABSTRACT FROM AUTHOR]

Ancient Buddhist architecture plays an important role in the development of Chinese architectural culture. Under the background of multiculturalism, the ancient Buddhist architectural style has also been influenced to varying degrees. In order to realize automatic classification of ancient Buddhist architecture under multi-cultural background, this paper proposes an automatic classification algorithm based on local feature learning. Firstly, the ancient Buddhist architecture images are gridded, so that the backbone network can obtain relatively flat ancient Buddhist architecture image blocks. At the same time, the backbone network can learn more local details. Then, the grid reconstruction module is designed to strengthen the connection between the features of each block and highlight the distinguishing detail features. The accuracy of ancient Buddhist architecture classification can be effectively improved through image meshing and mesh reconstruction. Experiment and analysis are carried out by using the dataset of ancient Buddhist architecture images on the Internet. Experimental results show that the proposed algorithm has better recognition accuracy and robustness than other comparison algorithms. [ABSTRACT FROM AUTHOR]

Recently, the artificial bee colony (ABC) algorithm has become increasingly popular in the field of evolutionary computing and manystate- of-the-art ABC variants (ABCs) have been developed. It has found that ABCs are optimal for separable problems, but suffer drastic performance losses for non-separable problems. Driven by this phenomenon, improved adaptive encoding learning (IAEL) has been integrated into ABCs (IAEL+ABCs) to enhance their performance for non-separable problems. In IAEL+ABCs, the cumulative population distribution information is utilized to establish an Eigen coordinate system that can effectively increase the improvement interval of variables, and thus make the population converge quickly in the early stage of evolution. In addition, a multivariable perturbation strategy serves as a supplementary method for reducing the risk of ABCs falling into local optima in complex multimodal non-separable problems. For comparison purposes, all experiments were conducted on CEC2014 competition benchmark suite. The experimental results show that the proposed IAEL+ABCs perform better than their corresponding ABCs and previously developed AEL+ABCs. [ABSTRACT FROM AUTHOR]

With the development of soft gripper systems, food processing, packaging, and processing technology has seen a significant advancement. The soft gripper must be protected from surface contamination and liquid lubrication; hence, a hydrophobic and contamination-resistant surface is used. There is an urgent need for a soft gripper that meets the functions of hydrophobic performance and contamination resistance, but there has been little study. In this study, the two functions are well achieved by introducing a flexible superhydrophobic surface. A novel design of a flexible superhydrophobic surface-based gripper (SSBG) is proposed by the template method. After a series of testing, it was discovered that the friction coefficient between the SSBG surface and the glass plate, cardboard, and steel plate is larger than that of a standard surface gripper (SSG). At the same time, the contamination resistance of SSBG is particularly important. Because of the existence of the plastron layer, the surface was discovered to be able to repel bacterial colonization. Finally, when the usual gripping force of the SSBG is measured on a 250 ml beaker with contamination and liquid lubrication, it can be shown that the gripping ability is improved by at least 100% and 170% compared to the SSG, respectively. As a result, the SSBG has a high potential for utilization in industrial and therapeutic contexts. [ABSTRACT FROM AUTHOR]

Soft and stretchable sensors of strain are important for human–machine interfaces, soft robotics, and electronic skins. However, soft strain sensors generally cannot distinguish in‐plane strain from normal stress. For example, stretching a sensor often gives a similar signal to pressing the sensor. To solve this problem, a liquid metal (LM)‐interdigitated capacitive strain sensor that is insensitive to normal stress is introduced. The sensor contains LM‐interdigitated electrodes prepared by vacuum filling of LM into lithographically defined microchannels. The capacitance between the LM electrodes decreases with increasing strain due to geometric changes. Because of the liquid nature of the electrodes, the sensor exhibits high stretchability (100% strain) and repeatability with gauge factor of −0.3. Due to the elasticity of the device, the sensor has low hysteresis (<1%) and no crosstalk between strain and normal stress sensing. These types of soft sensors may find use in wearable devices. [ABSTRACT FROM AUTHOR]

Crop production systems involving the use of high rates of fertilizer application caused significant losses of nitrogen (N) and phosphorus (P) to the environment, resulting in air pollution and water body eutrophication. Quantitating N and P losses and its drivers in crop production systems was critical for optimizing water and fertilizer management measures to mitigate the nutrient losses. However, N and P losses estimation remains highly uncertain in the field at event scale. We here quantify daily N and P losses and its drivers (daily N and P water input, N and P uptake, N and P water surplus, water loss, etc.) in rice-rapeseed growing systems by high-frequency field experiments at event scale in Central China. Results revealed that there were significant trade-off relationships between daily uptake and surplus for N and P during the whole growing stages both for rice and rapeseed. Although it was not significantly related in heading to mature stage for rapeseed, synergies between daily input or surplus and loss were found for N. Redundancy analysis revealed that water input and leaching loss contributed most for N and P loss in rice and rapeseed. The nutrient losses in easier stages should be reduced by postponing the base fertilizer and making it in line with the crop uptake. The study enhanced our knowledge of N and P losses mechanism for crop production systems and provided a scientific basis for optimization of water and fertilizer managements and N and P loss estimation models. [ABSTRACT FROM AUTHOR]

In recent ten years, artificial bee colony (ABC) has attracted more and more attention, and many state-of-the-art ABC variants (ABCs) have been developed by introducing different biased information to the search equations. However, the same biased information is employed in employed bee and onlooker bee phases, which will cause over exploitation and lead to premature convergence. To overcome this limit, an effective framework with tristage adaptive biased learning is proposed for existing ABCs (TABL + ABCs). In TABL + ABCs, the search direction in the employed bee stage is guided by learning the ranking biased information of the parent food sources, while in the onlooker bee stage, the search direction is determined by extracting the biased information of population distribution. Moreover, a deletion-restart learning strategy is designed in scout bee stage to prevent the potential risk of population stagnation. Systematic experiment results conducted on CEC2014 competition benchmark suite show that proposed TABL + ABCs perform better than recently published AEL + ABCs and ACoS + ABCs. [ABSTRACT FROM AUTHOR]

A record‐breaking rainfall event was initiated between the urban heat island (UHI) and a small trumpet‐shaped mountain (Huadu Mountain) to its north in Guangzhou City at midnight of May 6, 2017. Numerically simulating the convection initiation (CI) was challenging due to insufficient model resolution and inaccurate boundary layer parameterization, this study therefore examined the pre‐convective mesoscale processes based on their four‐dimensional analyses obtained through data assimilation of radar and surface observations using the four‐dimensional Variational Doppler Radar Analysis System (VDRAS). Results suggested that the Huadu Mountain to the north of Guangzhou City played a crucial role in the CI through orographic blocking and nighttime cooling. Dynamically, the mountain blocked the upstream airflow causing an accumulation of water vapor in boundary layers; thermally, the large near‐surface temperature gradients between the mountain and its southern foot area induced northerly downslope winds and low‐level convergences and updrafts. The downslope winds enhanced the accumulation of boundary‐layer water vapor, which was then transported to higher altitudes over the CI region by the updrafts, thus resulting in the formation and growth of cloud water above the altitude of 1 km. In addition to the mountain, the UHI also played an important role by increasing the magnitude of the low‐level convergence and influencing its horizontal distribution. These findings urge attentions to the critical roles of small‐scale orography and its interaction with urban underlying surface in initiating local rainstorm events. Key Points: Orographic blocking and northerly downslope wind resulted in the accumulation of water vapor in the boundary layerThe strong nighttime cooling of the mountain induced low‐level wind convergence and updraft for convection initiationThe urban heat island also played an important role in enhancing the low‐level wind convergence [ABSTRACT FROM AUTHOR]

Flexible capacitive stress sensors are important for robotics, human–machine interactions, and electronic skin due to their temperature independence, low power consumption, and high stability. Pressing the soft dielectric material brings the electrodes closer together and thereby increases capacitance. However, the invariance of the elastic modulus of dielectric materials contradicts the sensitivity and measurement limit of capacitive stress sensors. To solve this problem, a passive particle jamming variable stiffness material‐based flexible capacitive stress sensor with high sensitivity, large measurement limit is proposed. Applying small stress does not jam the particles, leading to a low elastic modulus (5.2 kPa). As the stress increases, the particles begin to jam and squeeze the elastic cavity, resulting in a jamming phenomenon that gradually increases the elastic modulus (up to 132.4 kPa). Based on this mechanism, a sensor with high sensitivity (0.023 kPa−1) and large measurement limit (320 kPa) is demonstrated. In addition, several demonstrations prove the potential applications of the sensor. [ABSTRACT FROM AUTHOR]