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The Tibetan Plateau (TP) plays a key role in the regional environment and global climate change; however, the lack of vertical observations of atmospheric species, such as HONO and O 3 , hinders a deeper understanding of the atmospheric chemistry and atmospheric oxidation capacity (AOC) on the TP. In this study, we conducted multi-axis differential optical absorption spectroscopy (MAX-DOAS) measurements at Nam Co, the central TP, to observe the vertical profiles of aerosol, water vapor (H 2 O), NO 2 , HONO and O 3 from May to July 2019. In addition to NO 2 mainly exhibiting a Gaussian shape with the maximum value appearing at 300 =- 400 m, the other four species all showed an exponential shape and decreased with the increase in height. The maximum values of monthly averaged aerosol (0.17 km -1) and O 3 (66.71 ppb) occurred in May, H 2 O (3.68 × 10 17 molec. cm -3) and HONO (0.13 ppb) appeared in July, and NO 2 (0.39 ppb) occurred in June at the 200–400 m layer. H 2 O, HONO and O 3 all exhibited a multi-peak pattern, and aerosol appeared to have a bi-peak pattern for its averaged diurnal variations. The averaged vertical profiles of OH production rates from O 3 and HONO all exhibited an exponential shape decreasing with the increase in height, with maximum values of 2.61 and 0.49 ppb h -1 at the bottom layer, respectively. The total OH production rate contributed by HONO and O 3 on the TP was obviously larger than that in low-altitude areas. In addition, source analysis was conducted for HONO and O 3 at different height layers. The heterogeneous reaction of NO 2 on wet surfaces was a significant source of HONO. The maximum values of HONO / NO 2 appeared when H 2 O concentrations were approximately 1.0 × 10 17 molec. cm -3 and aerosol concentrations were larger than 0.15 km -1 below 1.0 km. The maximum values were usually accompanied by H 2 O concentrations of 1.0–2.0 × 10 17 molec. cm -3 and aerosol concentrations greater than 0.02 km -1 at 1.0–2.0 km. O 3 was potentially sourced from the South Asian subcontinent and Himalayas through long-range transport. Our results contribute to the new understanding of vertical distribution of atmospheric components and explain the strong AOC on the TP. [ABSTRACT FROM AUTHOR]

Due to increasing environmental concerns and demand for clean energy resources, photovoltaic (PV) systems are becoming more prevalent. Considering that in several instances, customers pay for both energy and power, PV installations not only must reduce the customers' energy purchases but also lower their peak demand for maximum financial benefits. However, in many cases, the peak demand does not coincide with the peak of photovoltaic generation. To address this issue, excess energy generated during low-demand periods can be stored in a battery, which can then be used to meet peak demand. Determining the optimal size of photovoltaic and battery components while ensuring system performance and financial benefits is significantly challenging. This study proposes a novel statistical methodology for optimizing PV-battery system size. In the proposed method, the PV-battery system must meet peak demand thresholds with a specific probability. Further, cost and benefit functions are used for financial evaluation. Finally, Monte Carlo simulations, developed using time series clustering and a Bayesian model are utilized to assess system performance and financial feasibility. [ABSTRACT FROM AUTHOR]

Traditional biomass boiler operations predominantly rely on manual control, with adjustments made based on operator experience. This approach not only demands considerable manpower but also leads to suboptimal resource utilization. Addressing the specific operational dynamics of biomass boilers, this study introduces a controller designed around the STM32 microcontroller. This device employs a modular architecture and incorporates cost-effective chips and peripheral components. To enhance energy efficiency and the overall user experience, the controller utilizes pulse width modulation pulse modulation alongside a fuzzy PID control strategy. Capable of toggling between manual and automatic modes for local operations, it also supports data logging directly on the device or in the cloud. Tailored to meet diverse user requirements, the controller facilitates remote monitoring and management. It employs a strategic control mechanism for various motors, ensuring precise hot water temperature measurements within the boiler and enabling data uploads to cloud platforms. This not only conserves energy and reduces labor costs but also promotes environmental sustainability and operational efficiency. Through ongoing refinement and rigorous testing, the controller has achieved a level of maturity that underscores its readiness for widespread implementation. [ABSTRACT FROM AUTHOR]

At present, reusable launch vehicle technology (RLV) has become a research hotspot in the aerospace field and one of the major development trends in this industry. With reference to the aircraft carrier's arresting cable technology, this paper puts forward a novel cable-net buffer device for recovering the first stage of launch vehicle. The device can transfer load through a cable-pulley mechanism, and then complete the first stage recovery by losing the kinetic energy and gravitational potential energy of the first stage through hydraulic dampers and preloaded counterweights. In order to analyze the performance of this cable-net buffer device, the finite element software ABAQUS is adopted to establish a rigid-flexible coupling dynamic model. In this model, the cable-pulley mechanism is simulated by connector and shell elements, the damping force of the hydraulic dampers by VUAMP subroutine, and the preloaded counterweights by mass point. And then, performance evaluation indexes of this buffer device are proposed in this paper. Meanwhile, the dynamic simulation, using the established dynamic model, is carried out under different device design parameters and working condition parameters. On the one hand, the simulation results show that the tower span and damping force have remarkable effects on the buffer performance. On the other hand, among all working condition parameters, only the fall point deviation has a significant effect on the buffer performance, but this effect is less than that of the design parameters. Finally, combing the dynamic model and the surrogate model technique, this paper obtains feasible boundaries of design parameters of the device for the subsequent detailed design of it. Researches in this paper will provide new ideas for the development of RLV. [ABSTRACT FROM AUTHOR]

Background: Personal narratives play an essential role in children's social and academic development. However, children with Down syndrome have ongoing challenges with constructing and communicating personal narratives. Methods: Using a single‐case multiple‐probe across participants design, we examined whether a targeted intervention could improve both micro‐ and macro‐structural aspects of personal narratives from Chinese adolescents with Down syndrome. Results: All three participants demonstrated high treatment effects in two macrostructural narrative outcomes (i.e., narrative element complexity and narrative coherence) in response to the intervention and moderate to high treatment effects in the microstructural narrative outcomes (i.e., the mean length of utterance in words and the number of different words). However, all participants demonstrated limited improvements in narrative cohesion. These effects were maintained and generalised in a different narrative condition. Conclusions: The preliminary findings support the feasibility and effectiveness of the personal narrative intervention incorporated with self‐monitoring strategies for adolescents with Down syndrome. [ABSTRACT FROM AUTHOR]

Gas therapy (GT) combined with photodynamic therapy (PDT) is an effective strategy to compensate for the PDT limitation caused by the hypoxic tumor microenvironment, which can greatly improve PDT efficacy. The uncontrolled leakage of gas molecules during delivery seriously hinders its practical biological application. Herein, we report a multifunction nanomedicine that enables precise gas therapy (including carbon monoxide (CO) release and H2S depletion) using a multi-parameter-induced activation gas release strategy, enlarging the PDT efficacy. This nanomedicine uses a disulfide bond to covalently link a photosensitizer with the CO donor 3-hydroxyflavone (3-HF). The disulfide bond can be specifically consumed in H2S-rich tumor areas, releasing the CO donor (3-HF), and also depleting H2S. More importantly, the photo-controlled production of 1O2 can induce 3-HF precise release of CO in the tumor location. Such H2S, light, and 1O2 multi-parameter-induced activation of gas release strategy ensures the accuracy of GT to amplify PDT efficiency. As expected, in vitro and in vivo investigations show that GT makes up for the PDT limitation, exhibiting the highest tumor therapeutic effect. This multi-parameter-activated design strategy provides a new way to improve the precision and efficacy of multimodal synergistic therapy of tumorsy of tumors.. [ABSTRACT FROM AUTHOR]

Quantum computation models have profoundly impacted cryptanalysis. Differential cryptanalysis is one of the most fundamental methods in cryptanalysis of block ciphers, and one of the variations of this attack is related-key differential cryptanalysis. In this paper, quantum related-key differential cryptanalysis is implemented in two main stages of classical version. We employ Bernstein–Vazirani algorithm to find related-key differential characteristics in the first stage. Building on this basis, the second stage combines quantum maximum algorithm and quantum counting algorithm to recover correct key pair by quantum random access memory model. Compared to classical related-key differential cryptanalysis, the first stage achieves exponential acceleration, while the second stage accelerates at O(K), where K 2 represents the number of candidate key pairs. [ABSTRACT FROM AUTHOR]

In this paper, we propose an efficient augmentation-based preconditioner for solving complex symmetric linear systems, which is obtained by augmenting the (2,2) block of the coefficient matrix. Then, the convergence of the corresponding iteration method is analyzed, and several spectral properties of the preconditioned matrices, such as eigenvalue distributions and eigenvectors, are also discussed. Numerical experiments demonstrate that our proposed preconditioner is more effective than some existing block preconditioners. [ABSTRACT FROM AUTHOR]

Background: Interventional therapy, in conjunction with tyrosine kinase inhibitors (TKIs), has shown promising outcomes for treating hepatocellular carcinoma (HCC) with portal vein tumor thrombosis (PVTT). With the advent of immunotherapy, the combined use of immune checkpoint inhibitors (ICIs) has attracted great attention due to their potential effectiveness in advanced HCC. This study aims to compare the efficacy and safety of a triple therapy regimen (Interventional therapy, TKIs and ICIs, IT-TKI-ICI) with a dual therapy regimen (Interventional therapy and TKIs, IT-TKI) in the treatment of HCC and PVTT (HCC-PVTT). Methods: A comprehensive search was carried out in PubMed, Web of Science, Embase, Scopus, and the Cochrane Library databases. Primary outcome measures were overall survival (OS) and progression-free survival (PFS), while secondary outcomes included tumor response rate, adverse event incidence as well as downstaging surgery rate. Statistical analysis was conducted using Revman 5.4 software. Results: The meta-analysis finally included 6 cohort studies. The triple therapy group demonstrated significantly prolonged OS and PFS compared to the dual therapy group. Meanwhile, the former exhibited significantly higher rates of objective response rate (ORR), disease control rate (DCR) and better downstaging effects with a higher salvage surgery rate without significantly increasing adverse events. Conclusion: In comparison to dual therapy, the triple therapy with interventional therapy, TKIs, and ICIs demonstrates superior efficacy and equivalent safety for HCC-PVTT. [ABSTRACT FROM AUTHOR]

Multiple-type outcomes are often encountered in many statistical applications, one may want to study the association between multiple responses and determine the covariates useful for prediction. However, literature on variable selection methods for multiple-type data is arguably underdeveloped. In this article, we develop a novel global–local shrinkage prior in multiple response-types settings, where the observed dataset consists of multiple response-types (e.g., continuous, count-valued, Bernoulli trials, etc.), by combining the perspectives of global–local shrinkage and the conjugate multivaraite distribution. One benefit of our model is that a transformation or a Gaussian approximation on the data is not needed to perform variable selection for multiple response-type data, and thus one can avoid computational difficulties and restrictions on the joint distribution of the responses. Another benefit is that it allows one to parsimoniously model cross-variable dependence. Specifically, our method uses basis functions with random effects, which can be presented as known covariates or pre-defined basis functions, to model dependence between responses and dependence can be detected by our proposed global–local shrinkage model with a sparsity-inducing model. We provide connections to the original horseshoe model and existing basis function models. An efficient block Gibbs sampler is developed, which is found to be effective in obtaining accurate estimates and variable selection results. We also provide a motivating analysis of public health and financial costs from natural disasters in the U.S. using data provided by the National Centers for Environmental Information. [ABSTRACT FROM AUTHOR]

This study examined the variation characteristics of the frequency of tropical cyclones landing in South China from July to September over the 73 years from 1949 to 2021. Data employed included those from the Shanghai Typhoon Institute of the China Meteorological Administration, NCEP/NCAR reanalysis data, NOAA reconstructed sea surface temperature (SST) data, and atmospheric long-wave radiation (OLR) data. The variation characteristics of the frequency of tropical cyclones landing in South China from July to September in the past 73 years were analyzed by using methods such as linear trend analysis and Mann Kendall test. The relationship between the anomalous frequency of tropical cyclones landing in South China from July to September and the atmospheric circulation and early SST was analyzed by using synthesis and correlation methods. The results showed that a total of 243 tropical cyclones made landfall in South China between 1949 and 2021, with 70.2% occurring from July to September (averaging 3.3 cyclones per year). The frequency of tropical cyclones landing in South China exhibited significant interannual and interdecadal variations. The maximum frequency was found in 1973 (7 cyclones), while the minimum was observed in 1950 (0 cyclones). There was a shift from more in the early stages to less in the later stages in the mid-1990s, although no abrupt changes were observed. The frequency of tropical cyclones landing in South China has decreased at a rate of 0.1 cyclones per decade in these 73 years. The anomalous frequency of tropical cyclones landing in South China from July to September was closely related to atmospheric circulation and SST anomalies. During the same period in anomalous years, the following patterns were observed: (1) In the difference field of atmospheric circulation, the South Asia High was stronger and shifted eastward and northward, while the Subtropical High was stronger and shifted westward and northward. The easterly flow east of 110°E in the equatorial region intensified, along with a strengthened monsoon trough. The sea-level pressure field in the middle and low latitudes of the Northern Hemisphere showed an east-high, west-low pattern, with higher pressure in the north and lower pressure in the south. At the same time, convective activities in the South China Sea and the western Pacific in the thermal zone were strengthened. (2) In difference field the SST, the equatorial middle and eastern Pacific was cooler, the western Pacific warm pool was warmer, and the Walker circulation was strengthened. The difference in atmospheric circulation and SST in the upper, middle and lower levels may be the reason for the anomalous frequency of tropical cyclones landing in South China. [ABSTRACT FROM AUTHOR]

In the post-pandemic era, there is a need for medical professionals with creativity, clinical expertise, and social responsibility. The Chinese government issued a directive to enhance the "Five Characteristics" perceptions of medical students, incorporating moral integrity and adeptness in saving lives and aiding the injured, embracing a compassionate approach to medical practice, possessing the knowledge essential for academic distinction, mastering technical expertise, and the artistry of applying scientific methodologies. The purpose of this study was to investigate the opinions related to ethics and professional behaviors of medical students at one Chinese medical school using a validated 19-item survey instrument and analyze its influencing factors. We conducted a survey in a medical university in Anhui Province, China, and collected 1966 valid questionnaires using the "Five Characteristics Rating Scale". The results indicated high perceptions of "Five Characteristics" among Chinese medical students (85.42 ± 8.727). Lower-grade-year medical students (86.59 ± 7.888) had higher "Five Characteristics" perceptions than upper-grade-year medical students (84.29 ± 9.327, P < 0.05). In addition, medical students experiencing voluntary work during the COVID-19 pandemic showed higher perceptions (86.21 ± 8.357) than those without such experience (85.13 ± 8.842, P < 0.05). Grade year and voluntary work experience during the COVID-19 pandemic were influencing factors of "Five Characteristics" perceptions. Our research offers a theoretical foundation for governments and medical schools to cultivate doctors with high ethical standards and professional expectations. [ABSTRACT FROM AUTHOR]

(1) Background: In digital-technology-assisted nasal defect reconstruction methods, a crucial step involves utilizing computer-aided design to virtually reconstruct the nasal defect's complete morphology. However, current digital methods for virtual nasal defect reconstruction have yet to achieve efficient, precise, and personalized outcomes. In this research paper, we propose a novel approach for reconstructing external nasal defects based on the Facial Mesh Generation Network (FMGen-Net), aiming to enhance the levels of automation and personalization in virtual reconstruction. (2) Methods: We collected data from 400 3D scans of faces with normal morphology and combined the structured 3D face template and the Meshmonk non-rigid registration algorithm to construct a structured 3D facial dataset for training FMGen-Net. Guided by defective facial data, the trained FMGen-Net automatically generated an intact 3D face that was similar to the defective face, and maintained a consistent spatial position. This intact 3D face served as the 3D target reference face (3D-TRF) for nasal defect reconstruction. The reconstructed nasal data were extracted from the 3D-TRF based on the defective area using reverse engineering software. The '3D surface deviation' between the reconstructed nose and the original nose was calculated to evaluate the effect of 3D morphological restoration of the nasal defects. (3) Results: In the simulation experiment of 20 cases involving full nasal defect reconstruction, the '3D surface deviation' between the reconstructed nasal data and the original nasal data was 1.45 ± 0.24 mm. The reconstructed nasal data, constructed from the personalized 3D-TRF, accurately reconstructed the anatomical morphology of nasal defects. (4) Conclusions: This paper proposes a novel method for the virtual reconstruction of external nasal defects based on the FMGen-Net model, achieving the automated and personalized construction of the 3D-TRF and preliminarily demonstrating promising clinical application potential. [ABSTRACT FROM AUTHOR]

The Tibetan Plateau (TP) plays a key role in regional environment and global climate change, however, the lack of vertical observation hinders a deeper understanding of the atmospheric chemistry and atmospheric oxidation capacity (AOC) on the TP. In this study, we conducted MAX-DOAS measurements at Nam Co, central TP, to observe the vertical profiles of aerosol, water vapor, NO2, HONO and O3 from May to July 2019. In addition to NO2 mainly exhibiting a Gaussian shape with the maximum value appearing at 300–400 m, other four species all showed an exponential shape and decreased with the increase of height. The maximum values of monthly averaged aerosol (0.17 km-1) and O3 (66.71 ppb) occurred on May, water vapor (3.68×1017 molec cm-3) and HONO (0.13 ppb) appeared on July, while NO2 (0.39 ppb) occurred on June at 200–400 m layer. Water vapor, HONO and O3 all exhibited a multi-peak pattern, and aerosol appeared a bi-peak pattern for their averaged diurnal variation. Moreover, we found O3 and HONO were the main contributors to OH on the TP. The averaged vertical profiles of OH production rates from O3 and HONO all exhibited an exponential shape, and decreased with the increase of height with the maximum values of 2.61 ppb/h and 0.49 ppb/h at the bottom layer, respectively. In addition, source analysis for HONO and O3 were conducted based on vertical observations. The heterogeneous reaction of NO2 on wet surfaces was a significant source of HONO, which obviously associated with water vapor concentration and aerosol extinction. The maximum values of HONO/NO2 appeared around water vapor being 1.0×1017 molec cm-3 and aerosol being lager 0.15 km-1 under 1.0 km, and the maximum values usually accompanied with water vapor being 1.0–2.0×1017 molec cm-3 and aerosol being lager 0.02 km-1 at 1.0–2.0 km. O3 was potentially sourced from south Asian subcontinent and Himalayas through long-range transport. Our results enrich the new understanding of vertical distribution of atmospheric components and explained the strong AOC on the TP. [ABSTRACT FROM AUTHOR]

The SAND algorithm is a family of lightweight AND-RX block ciphers released by DCC in 2022. Our research focuses on assessing the security of SAND with a quantum computation model. This paper presents the first quantum implementation of SAND (including two versions of SAND, SAND-64 and SAND-128). Considering the depth-times-width metric, the quantum circuit implementation of the SAND algorithm demonstrates a relatively lower consumption of quantum resources than that of the quantum implementations of existing lightweight algorithms. A generalized Grover-based brute-force attack framework was implemented and employed to perform attacks on two versions of the SAND algorithm. This framework utilized the g-database algorithm, which considered different plaintext–ciphertext pairs in a unified manner, reducing quantum resource consumption. Our findings indicate that the SAND-128 algorithm achieved the NIST security level I, while the SAND-64 algorithm fell short of meeting the requirements of security level I. [ABSTRACT FROM AUTHOR]

Phyllostachys nigra has green young culms (S1) and purple black mature culms (S4). Anthocyanins are the principal pigment responsible for color presentation in ornamental plants. We employ a multi-omics approach to investigate the regulatory mechanisms of anthocyanins in Ph. nigra. Firstly, we found that the pigments of the culm of Ph. nigra accumulated only in one to four layers of cells below the epidermis. The levels of total anthocyanins and total flavonoids gradually increased during the process of bamboo culm color formation. Metabolomics analysis indicated that the predominant pigment metabolites observed were petunidin 3-O-glucoside and malvidin O-hexoside, exhibiting a significant increase of up to 9.36-fold and 13.23-fold, respectively, during pigmentation of Ph. nigra culm. Transcriptomics sequencing has revealed that genes involved in flavonoid biosynthesis, phenylpropanoid biosynthesis, and starch and sucrose metabolism pathways were significantly enriched, leading to color formation. A total of 62 differentially expressed structural genes associated with anthocyanin synthesis were identified. Notably, PnANS2, PnUFGT2, PnCHI2, and PnCHS1 showed significant correlations with anthocyanin metabolites. Additionally, certain transcription factors such as PnMYB6 and PnMYB1 showed significant positive or negative correlations with anthocyanins. With the accumulation of sucrose, the expression of PnMYB6 is enhanced, which in turn triggers the expression of anthocyanin biosynthesis genes. Based on these findings, we propose that these key genes primarily regulate the anthocyanin synthesis pathway in the culm and contribute to the accumulation of anthocyanin, ultimately resulting in the purple-black coloration of Ph. nigra. [ABSTRACT FROM AUTHOR]

Soil microbial metabolism plays an important role in supporting soil services and functionalities but is usually restricted by the availability of soil nutrients. Although soil microbial metabolism limitation (SMML) has been widely addressed with regard to various driving factors, its response to erosion has not been examined but is urgently needed given the important influence of erosion on global environments. To understand how erosion affects SMML and whether erosion's effect varies with tillage practices and soil types, we conducted a simulated erosion experiment to compare eroded and noneroded plots with contrasting soil types (Mollisol vs. loess soils) and managements (conventional tillage versus no‐tillage in plots with crops versus without crops). We measured soil extracellular enzymatic activities and quantified SMML with extracellular enzymatic stoichiometry models. In both soils, the microbes were limited by carbon (C) and phosphorus (P), but not by nitrogen, and microbial C and P limitations were greater in Mollisol than loess soils. For the Mollisol, erosion significantly increased the relative C limitation, whereas the presence of crops eliminated this increase. For the loess soils, erosion enhanced the relative C limitation regardless of crop presence and tillage management. Erosion consistently increased microbial P limitation in plots with crops, with greater effects under no‐tillage (+2.9%) compared to conventional tillage (+0.7%) conditions regardless of soil type (p < 0.05). In plots without crops, microbial P limitation was increased by erosion under no‐tillage (+2.1%) but was decreased under conventional tillage (−5.6%) (p < 0.05). Additionally, conventional tillage exacerbated microbial C limitation but alleviated microbial P limitation. These results indicated that erosion shifted microbial C and P limitations depending on soil type, tillage practice and the presence of plants, highlighting the importance of considering all these factors when assessing soil microbial metabolic limitation at various spatial scales. [ABSTRACT FROM AUTHOR]

Summary: With the development of the massive satellite constellation and the on‐orbit laser‐based communication equipment, wavelength routing optical satellite networks (WROSN) becomes a potential solution for on‐orbit, high‐capacity, and high‐speed communication. Since the inter‐satellite links (ISLs) are time‐varying, one of the fundamental considerations in the construction of the WROSN is assigning limited laser communication terminals for each satellite to establish ISLs with the visible satellites. Therefore, we propose a links assignment scheme (LAS) based on the potential edges importance matrix (PEIM) algorithm to construct a temporarily stable topology for a dual‐layer WROSN (DWROSN). The simulation results showed that the LAS based on the PEIM algorithm diminishes the long‐hops route path, reduces the average node‐to‐node distance, and saves the wavelength demand of the DWROSN. The node pair connectivity and wavelength demand in the DWROSN is a trade‐off problem. The research in this paper also brings a novel method for optimizing the route paths and reducing the wavelength demand of wavelength routing optical satellite networks, that is through designing the topology with a links assignment algorithm. [ABSTRACT FROM AUTHOR]

Ischemia/reperfusion (I/R) of skeletal muscle in the lower limbs is an important factor affecting the outcome of lower limbs ischemia patients, with no effective preventive or therapeutic approaches available. The study was to investigate the effect of syringic acid (SA) on I/R skeletal muscle in the lower limbs injury. Mice femoral artery I/R models and C2C12 cell hypoxia/reoxygenation (H/R) models was establish, tissue damage, inflammatory status, and high mobility group box 1 (HMGB1) pathway were evaluated using histological analysis, enzyme‐linked immunosorbent assay, and western blotting. Further, the study detected the effect of SA on cell apoptosis, lipid peroxidation, Fe2+ level, and ferroptosis‐related proteins expression. Finally, the effect of HMGB1 expression on SA in H/R stimulation was studied. SA alleviated pathological damage and reduced levels of IL‐1β, IL‐6, and TNF‐α in muscle tissues from femoral artery I/R mouse models. SA upregulated Bcl‐2 and SOD as well as downregulated Bax, MDA, TBARS content, and Fe2+ level in H/R‐induced cells. SA inhibited HMGB1 expression and promoted Nrf2, HO‐1, GPX4, and SLC7A11 expressions in the injured tissues and cells. Such effects of SA on H/R‐induced cells were rescued by HMGB1 overexpression. SA suppressed ferroptosis of skeletal muscle cells to alleviate lower limb I/R injury in mice by blocking the HMGB1 pathway, providing new insights for the treatment of lower limb ischemia–reperfusion injury. [ABSTRACT FROM AUTHOR]

Introduction: The benefits of adjuvant chemoradiation therapy (CRT) for heterogeneous pathological N2 (pN2) diseases remain unclear in non-small cell lung cancer (NSCLC). This study aimed to investigate suitable pN2 patients for adjuvant CRT. Material and methods: This study retrospectively reviewed the data of patients with pN2 NSCLC in Shanghai Pulmonary Hospital from January 2012 to December 2016. Included cases were subdivided as highest mediastinal lymph node (HM) (n = 732) metastasis and non-HM metastasis (n = 677) groups according to the International Association for the Study of Lung Cancer (IASLC). Furthermore, the Kaplan–Meier and Cox models were used to evaluate the prognostic benefits of adjuvant CRT in heterogeneous pN2 subgroups. Results: A total of 1409 patients were enrolled in this study, with a median follow-up time of 63.8 months. Patients with HM involvement had worse prognoses (p < 0.001 for recurrence-free survival (RFS) and overall survival (OS)). Furthermore, the survival improvement of adjuvant CRT was significant for these patients (p < 0.001 for RFS and p = 0.032 for OS), regardless of whether it was single (p < 0.001 for RFS and p = 0.029 for OS) or multiple pN2 (p < 0.001 for RFS and p = 0.026 for OS) diseases. According to multivariable cox analysis, the long-term RFS and OS in the cancerous HM group were independently predicted by pathological N stage (p = 0.002 for RFS and p < 0.001 for OS) and adjuvant CRT (p < 0.001 for RFS and p = 0.011 for OS). Conclusion: Metastatic HM was associated with a worse prognosis in pN2 disease. Our analysis supported that adjuvant CRT significantly improved both RFS and OS for these patients. [ABSTRACT FROM AUTHOR]

In this paper, ZnCo2O4(Nd–ZnCo2O4) films were prepared using a hydrothermal method and an electrodeposition method. We characterized the samples using X-ray diffraction, scanning electron microscopy, and transmission electron microscopy. The effect of Nd–ZnCo2O4 doping on the stability of the materials was studied. The results show that the Nd−ZnCo2O4 prepared in the experiment presents a porous network structure, no other impurity peaks and impurity elements exist, and the purity is high. In the experiment, the electrochemical properties of Nd−ZnCo2O4 were studied. When the current density is 3 A·g−1, the specific capacitance F·g−1 of the electrode is 1982 F·g−1. When the current density is changed 100 times, and every time it is changed back to 3 A·g−1, the specific capacitance F·g−1 is 1973 F·g−1, which is 99.5% of the initial specific capacitance F·g−1. 1982 F·g−1 indicates that Nd−ZnCo2O4 has good stability and can be reused many times. In the cycle stability performance test of Nd–ZnCo2O4//CNTs devices, when the current density is 3 A·g−1, the specific capacitance is 180 F·g−1. After 10,000 cycle charge discharge tests, the specific capacitance F·g−1 becomes 162 F·g−1, maintaining 90% of the initial specific capacitance. These results show that the electrode material has a long cycle life and good cycle stability. [ABSTRACT FROM AUTHOR]

We present the performance analysis of dual-hop mixed radio frequency (RF)/free space optical (FSO) systems with fixed-gain amplify-and-forward (AF) relaying in the presence of pointing errors. The RF link undergoes the κ - μ shadowed fading and the FSO link experiences Fisher-Snedecor F turbulence with pointing errors. For uplink and downlink scenarios, we derive closed-form approximate expressions of the end-to-end signal-to-noise ratio (SNR) statistics, such as the cumulative distribution function (CDF) and the probability density function (PDF). By using both two statistics, the average bit error rate (BER), the ergodic capacity (EC), and the effective capacity are derived in terms of the bivariate Fox's H function. These results illustrate the effects of system and channel parameters on the considered system, including atmospheric turbulence, pointing errors, multipath cluster numbers, shadowing parameter, quality parameter and different modulation schemes. Note that our results provide more general expressions. Finally, the derived approximate expressions are confirmed through Monte Carlo (MC) simulations. This work would contribute to the design and development of dual-hop mixed RF/FSO relaying systems. [ABSTRACT FROM AUTHOR]

Tropical cyclones (TCs) are often accompanied by heavy precipitation, which may lead to natural disasters and a serious threat to life and property. However, they also provide indispensable water resources. Studying the temporal and spatial characteristics of TC precipitation is of great importance for TC precipitation forecasting, TC disaster mitigation, and water resource utilization. Guangdong is one of the most frequently and severely TC-affected provinces in China. Due to the different methods used to identify TC precipitation, the conclusions offered by the existing studies are often inconsistent. Moreover, their analyses of the spatiotemporal characteristics of TC precipitation in Guangdong are not sufficiently thorough. In this study, we first selected the historical TCs that affected Guangdong from 1961 to 2020, using an objective separation method for TC wind and rain, based on the observation data from 86 national meteorological stations in Guangdong Province. From these observations covering the past 60 years, the temporal and spatial variations in TC precipitation in Guangdong for four different periods, namely the first rainy season (FRS), the second rainy season (SRS), the non-rainy season (NRS), and over the whole year (WY), were then explored using statistical analysis and multiple cluster methods. The results show that TC frequencies in the four periods all showed a decreasing trend. TC precipitation also showed a decreasing trend in the SRS and NRS, as well as for the WY, but showed a slightly increasing trend in the FRS. Both TC frequency and TC precipitation showed an apparent inter-annual fluctuation and a quasi-periodic pattern. The spatial distribution of TC precipitation in the four periods all showed a decreasing trend from the coastal to the inland stations, but the western coastal areas had higher TC precipitation values than the eastern coastal areas for the SRS, NRS, and WY periods. The spatial variations of TC precipitation in Guangdong in the four periods of the last six decades were quite similar, exhibiting three primary spatial modes and six patterns. Among them, the spatial distribution of TC precipitation being less than normal across the whole province is the most common pattern. The 86 stations can be classified into six groups when using the spatial clustering method and into four groups when using the time-series clustering method. Stations with higher TC precipitation and large inter-annual fluctuations are often distributed in the coastal areas, while stations with less precipitation and small inter-annual fluctuations are distributed in inland areas. However, the primary areas that are affected by TCs may vary in the different periods. [ABSTRACT FROM AUTHOR]

Physics-informed neural networks (PINNs) model is utilized to achieve the first- and second-order rogue wave solvers of the Boussinesq equation with different initial and boundary conditions. A new generalized loss term handling the initial first-order derivate is included in the simulations to guarantee the high prediction accuracies in the adaptive PINNs (APINNs) and the gradient-optimized PINNs (GPINNs) models, with a new regularization parameter being considered in the latter case. Learned results with high precision are fulfilled in the large domain simulations by applying more collocation points and more weight parameters in the neural network architecture. The APINNs model currently can be made use of in more situations with high prediction accuracies, while the GPINNs model is more robust in the current research where the initial condition is distributed in the localized sharp areas. Parallel computing is carried out to get the mean relative L 2 -norm errors efficiently in the GPINNs model due to the random choosing of the simulation points during the training iterations. [ABSTRACT FROM AUTHOR]

Background: Increasing evidence has indicated that the entire visual pathway from retina to visual cortex may be involved in dysthyroid optic neuropathy (DON) pathological mechanisms. Purpose: To explore the functional and morphological brain characteristics in DON and their relationship with ophthalmologic performance. Study Type: Retrospective. Population: A total of 30 DON patients, 40 thyroid‐associated ophthalmopathy (TAO) without DON patients and 21 healthy‐controls (HCs). Field Strength/Sequence: A 3.0 T, 3D T1‐weighted spoiled gradient‐recalled echo and gradient‐recalled echo‐planar imaging. Assessment: Functional and structural alterations in brain regions were evaluated with fractional amplitude of low‐frequency fluctuations, degree centrality (DC), and gray matter volume (GMV). Clinical activity score (CAS) is assessed across patients. Statistical Test: One‐way analysis of variance with post hoc two sample t‐tests (GRF‐corrected, voxel level: P < 0.005, cluster level: P < 0.05) and correlation analysis (significance level: P < 0.05). Results: Compared to HCs, DON patients had significantly decreased DC values in the bilateral BA17 and BA18 regions. Compared to the TAO group, DON patients had decreased GMV in the left anterior cingulate cortex, left middle frontal gyrus, left lingual gyrus, left parietal gyrus, right Rolandic operculum, left supplementary motor area, and right middle temporal gyrus. In addition, GMV in the right Rolandic operculum was significantly positively correlated with CAS (correlation coefficient: r = 0.448). Data Conclusion: This study showed significant morphological and functional alterations in visual cortex and morphological alterations in partial default mode network regions of DON patients, which may provide insights into the mechanism of vision loss and may facilitate the diagnosis and treatment of DON. Evidence Level: 3. Technical Efficacy: Stage 3. [ABSTRACT FROM AUTHOR]

Liver abscesses caused by Clostridium perfringens are rare but rapidly fatal. In only a few days, patients progress from liver abscess to sepsis, intravascular hemolysis, multiple organ failure, and even death. These abscesses often occur in patients after trauma or surgery or in those with immunodeficiency. Because patients only show non-specific symptoms such as fever and abdominal pain in the early stage, they can easily be misdiagnosed and miss the therapeutic window, resulting in a poor prognosis. The diagnosis of Clostridium perfringens liver abscess mainly depends on computed tomography (CT), needle aspiration, and/or blood culture. After diagnosis, treatments such as antibiotic therapy, surgical abscess drainage, blood transfusion as needed, and correction of metabolic disturbances must be immediately administered to prevent severe complications. Here, we present two cases of liver abscess due to Clostridium perfringens infection. Both patients initially presented only with fever, abdominal pain, and jaundice, symptoms that were easily confused with cholangitis caused by cholelithiasis. The patients then progressed rapidly and, despite receiving antimicrobial and multimodal sepsis treatment, both eventually died of multiple organ dysfunction syndrome. Clinicians should be on high alert for Clostridium perfringens liver abscesses disguised as biliary disease. Early diagnosis and treatment with the appropriate antibiotics and surgery are fundamental for the survival of the affected patients. [ABSTRACT FROM AUTHOR]

Background: Alternative splicing (AS) of mRNA plays an important roles in transcriptome diversity, involving regulation of plant growth and stress response. Understanding the variation of AS events underlying GWAS loci in a crop population can provide insight into the molecular mechanisms of complex agronomic traits. To date, genome-wide association studies relating AS events to agronomic traits have rarely been conducted at the population level in crops. Results: Here, a pipeline was constructed to identify candidate AS events related to complex traits. Firstly, ovule transcriptome data were used to characterize intron retention (IR), the predominant type of AS in plants, on a genome-wide scale. This was done in a natural population consisting of 279 upland cotton lines. Secondly, splice quantitative trait locus (sQTL) analysis was carried out, which yielded a total of 2295 sQTLs involving 1607 genes. Of these, 14.25% (n = 427) were cis-regulatory loci. Integration with expression quantitative trait loci (eQTL) revealed that 53 (21.4%) cis-sGenes were regulated by both cis-sQTLs and cis-eQTLs. Finally, co-localization analysis integrated with GWAS loci in this population showed 32 cis-QTLs to be co-located with genetic regulatory loci related to fiber yield and quality traits, indicating that sQTLs are likely to participate in regulating cotton fiber yield and quality. An in-depth evaluation confirmed that differences in the IR rates of sQTL-regulated candidate genes such as GhLRRK1 and GhGC1 are associated with lint percentage (LP), which has potential in breeding applications. Conclusion: This study provides a clue that AS of mRNA has an impact on crop yield, along with functional sQTLs are new genetic resources for cotton precision breeding. [ABSTRACT FROM AUTHOR]

Heterostructures with interfacial effects have exhibited great potential for improving the electrochemical kinetics of electrode materials. However, the application of heterostructures is hampered by complicated synthesis parameters and numerous single components. Herein, a multiple‐templating synthesis strategy is proposed to improve the interfacial effect of heterojunction composites, mitigate volume variation upon lithiation/de‐lithiation, and increase interfacial compatibility with poly‐oxyethylene‐based (PEO‐based) electrolytes. Benefiting from the structural and compositional superiorities, the novel NiS/SnO2/MOF (NSM) electrode achieves superior electrochemical performance with exceptional specific capacity, outstanding rate capability and ultralong cyclability. As a result of the compatibility between organic components and the porous properties of metal organic frameworks (MOFs), the NSM electrode exhibits greater interfacial compatibility with PEO‐based solid‐state electrolytes. This work not only describes a meticulous protocol for heterostructured high‐performance electrode materials, but also provides a new insight to enhance the connectivity between the interfaces of solid‐state batteries. [ABSTRACT FROM AUTHOR]

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Automated indoor environmental control is a research topic that is beginning to receive much attention in smart home automation. All machine learning models proposed to date for this purpose have relied on reinforcement learning using simple metrics of comfort as reward signals. Unfortunately, such indicators do not take into account individual preferences and other elements of human perception. This research explores an alternative (albeit closely related) paradigm called imitation learning. In the proposed architecture, machine learning models are trained with tabular data pertaining to environmental control activities of the real occupants of a residential unit. This eliminates the need for metrics that explicitly quantify human perception of comfort. Moreover, this article introduces the recently proposed deep attentive tabular neural network (TabNet) into smart home research by incorporating TabNet-based components within its overall framework. TabNet has consistently outperformed all other popular machine learning models in a variety of other application domains, including gradient boosting, which was previously considered ideal for learning from tabular data. The results obtained herein strongly suggest that TabNet is the best choice for smart home applications. Simulations conducted using the proposed architecture demonstrate its effectiveness in reproducing the activity patterns of the home unit's actual occupants. [ABSTRACT FROM AUTHOR]

The purpose of this study is to investigate the role that a deep learning approach could play in computational mechanics. In this paper, a convolutional neural network technique based on modified loss function is proposed as a surrogate of the finite element method (FEM). Several surrogate-based physics-informed neural networks (PINNs) are developed to solve representative boundary value problems based on elliptic partial differential equations (PDEs). According to the authors' knowledge, the proposed method has been applied for the first time to solve boundary value problems with elliptic partial differential equations as the governing equations. The results of the proposed surrogate-based approach are in good agreement with those of the conventional FEM. It is found that modification of the loss function could improve the prediction accuracy of the neural network. It is demonstrated that to some extent, the deep learning approach could replace the conventional numerical method as a significant surrogate model. [ABSTRACT FROM AUTHOR]

This paper focuses on the life of Liu Shu (1520–1657), a woman warrior who lived through the social and political turmoil of the violent dynastic transition from the Ming (1368–1644) dynasty to the Qing (1636–1911) dynasty. Drawing on the writings of Liu Shu and on different versions of accounts of her life written by male literati in different time periods, this paper intends to reveal the multiplicity and complexity of how a woman could exert her agency and interact with the dominant structure. Commonly, women's agency has been understood as resistance against the male-dominant patriarchal system. However, recently, scholars such as Saba Mahmood have problematized universalizing overtly resistant acts against the patriarchal society to bring radical changes as demonstrations of women's agency. These scholars argue that this approach fails to recognize that through their autonomy and while living a life of self-fulfillment, women have the capacity to reproduce, sustain, or subtly change the social norms and views of values that justify and support the patriarchal structure. In light of these scholars' studies, this paper explores Liu Shu's engagement in political and military activities and her Buddhist practices to analyze how she transgressed established gender norms in order to uphold rather than reject the virtues promoted by patriarchal ideology. The paper also discusses how conflicting demands on women by a male-centered society in the drastic dynastic transition enabled her to negotiate with or challenge the dominant structure. It also considers how her disobedient acts were accepted and applauded by some male literati to address their own agenda in different cultural, historical, and political contexts. [ABSTRACT FROM AUTHOR]

To investigate the issue of multi-entry bus priority at intersections, an intelligent priority control method based on deep reinforcement learning was constructed in the bus network environment. Firstly, a dimension reduction method for the state vector based on the key lane was proposed, which contains characteristic parameters such as the bus states, the flow states, and the signal timing. Secondly, a control action method that can adjust phase sequence and phase green time at the same time was proposed under the constraints of maximum green and minimum green. Furthermore, a reward function, which can be uniformly converted into the number of standard cars, was established focusing on the indexes such as the busload and maximum waiting time. Finally, through building an experimental environment based on SUMO simulation, a real-time bus signal priority control method based on deep reinforcement learning was constructed. The results show that the algorithm can effectively reduce the waiting time of buses without affecting overall traffic efficiency. The findings can provide a theoretical basis for the signal control method considering bus priority and improve the operation efficiency of public transport. [ABSTRACT FROM AUTHOR]

Ship-based multi-axis differential optical absorption spectroscopy (MAX-DOAS) measurements were conducted along the marginal seas of China from 19 April to 16 May 2018 to measure the vertical profiles of aerosol, nitrogen dioxide (NO 2), and nitrous acid (HONO). Along the cruise route, we found five hot spots with enhanced tropospheric NO 2 vertical column densities (VCDs) in the Yangtze River Delta, Taiwan Strait, Guangzhou–Hong Kong–Macau Greater Bay Area, port of Zhanjiang, and port of Qingdao. Enhanced HONO concentrations could usually be observed under high-level aerosol and NO 2 conditions, whereas the reverse was not always the case. To understand the impacts of relative humidity (RH), temperature, and aerosol on the heterogeneous reaction of NO 2 to form HONO in different scenarios, the Chinese Academy of Meteorological Sciences (CAMS) and Southern University of Science and Technology (SUST) MAX-DOAS stations were selected as the inland and coastal cases, respectively. The RH turning points in CAMS and SUST cases were both ∼ 65 % (60 %–70 %), whereas two turning peaks (∼ 60 % and ∼ 85 %) of RH were found in the sea cases. As temperature increased, the HONO / NO 2 ratio decreased with peak values appearing at ∼ 12.5 ∘ C in CAMS, whereas the HONO / NO 2 gradually increased and reached peak values at ∼ 31.5 ∘ C in SUST. In the sea cases, when the temperature exceeded 18.0 ∘ C, the HONO / NO 2 ratio rose with increasing temperature and achieved its peak at ∼ 25.0 ∘ C. This indicated that high temperature can contribute to the secondary formation of HONO in the sea atmosphere. In the inland cases, the correlation analysis between HONO and aerosol in the near-surface layer showed that the ground surface is more crucial to the formation of HONO via the heterogeneous reaction of NO 2 ; however, in the coastal and sea cases, the aerosol surface contributed more. Furthermore, we discovered that the conversion rate of NO 2 to HONO through heterogeneous reactions in the sea cases is larger than that in the inland cases in higher atmospheric layers (> 600 m). Three typical events were selected to demonstrate three potential contributing factors of HONO production under marine conditions (i.e., transport, NO 2 heterogeneous reaction, and unknown HONO source). This study elucidates the sea–land and vertical differences in the forming mechanism of HONO via the NO 2 heterogeneous reaction and provides deep insights into tropospheric HONO distribution, transforming process, and environmental effects. [ABSTRACT FROM AUTHOR]

Anisotropy is a manifestation of lowered symmetry in material systems that have profound fundamental and technological implications. For van der Waals magnets, the two-dimensional (2D) nature greatly enhances the effect of in-plane anisotropy. However, electrical manipulation of such anisotropy as well as demonstration of possible applications remains elusive. In particular, in-situ electrical modulation of anisotropy in spin transport, vital for spintronics applications, has yet to be achieved. Here, we realized giant electrically tunable anisotropy in the transport of second harmonic thermal magnons (SHM) in van der Waals anti-ferromagnetic insulator CrPS4 with the application of modest gate current. Theoretical modeling found that 2D anisotropic spin Seebeck effect is the key to the electrical tunability. Making use of such large and tunable anisotropy, we demonstrated multi-bit read-only memories (ROMs) where information is inscribed by the anisotropy of magnon transport in CrPS4. Our result unveils the potential of anisotropic van der Waals magnons for information storage and processing. The anisotropic electrical and optical response of materials has allowed for the development of variety of sensors, memories and other interesting devices. Here, Qi et al turn their attention to the van der Waals antiferromagnetic insulator CrPS4, and demonstrate a very large, electrically tunable anisotropy in magnon transport, and present a multibit read-only memory based on this anisotropy. [ABSTRACT FROM AUTHOR]

Moso bamboo is capable of both sexual and asexual reproduction during natural growth, resulting in four distinct types of culms: the bamboo shoot-culm, the seedling stem, the leptomorph rhizome, and a long-ignored culm—the outward-rhizome. Sometimes, when the outward rhizomes break through the soil, they continue to grow longitudinally and develop into a new individual. However, the roles of alternative transcription start sites (aTSS) or termination sites (aTTS) as well as alternative splicing (AS) have not been comprehensively studied for their development. To re-annotate the moso bamboo genome and identify genome-wide aTSS, aTTS, and AS in growing culms, we utilized single-molecule long-read sequencing technology. In total, 169,433 non-redundant isoforms and 14,840 new gene loci were identified. Among 1311 lncRNAs, most of which showed a positive correlation with their target mRNAs, one-third of these IncRNAs were preferentially expressed in winter bamboo shoots. In addition, the predominant AS type observed in moso bamboo was intron retention, while aTSS and aTTS events occurred more frequently than AS. Notably, most genes with AS events were also accompanied by aTSS and aTTS events. Outward rhizome growth in moso bamboo was associated with a significant increase in intron retention, possibly due to changes in the growth environment. As different types of moso bamboo culms grow and develop, a significant number of isoforms undergo changes in their conserved domains due to the regulation of aTSS, aTTS, and AS. As a result, these isoforms may play different roles than their original functions. These isoforms then performed different functions from their original roles, contributing to the transcriptomic complexity of moso bamboo. Overall, this study provided a comprehensive overview of the transcriptomic changes underlying different types of moso bamboo culm growth and development. [ABSTRACT FROM AUTHOR]

Herein, we present a poly-adenine (polyA)-mediated programmably engineered FRET-nanoflare for ratiometric intracellular ATP imaging with anti-interference capability. The programmable polyA attachment is advantageous in enhancing the signal response for ATP. Moreover, the FRET-based nanoflare is capable of avoiding false-positive signals due to probe degradation in a complex environment, which has great potential for clinical diagnosis. [ABSTRACT FROM AUTHOR]

MiR396 plays an essential role in various developmental processes. However, the miR396-mRNA molecular network in bamboo vascular tissue differentiation during primary thickening has not been elucidated. Here, we revealed that three of the five members from the miR396 family were overexpressed in the underground thickening shoots collected from Moso bamboo. Furthermore, the predicted target genes were up/down-regulated in the early (S2), middle (S3) and late (S4) developmental samples. Mechanistically, we found that several of the genes encoding protein kinases (PKs), growth-regulating factors (GRF), transcription factors (TFs), and transcription regulators (TRs) were the potential targets of miR396 members. Moreover, we identified QLQ (Gln, Leu, Gln) and WRC (Trp, Arg, Cys) d omains in five PeGRF homologs and a Lipase_3 domain and a K_trans domain in another two potential targets, where the cleavage targets were identified via degradome sequencing (p < 0.05). The sequence alignment indicated many mutations in the precursor sequence of miR396d between Moso bamboo and rice. Our dual-luciferase assay revealed that ped-miR396d-5p binds to a PeGRF6 homolog. Thus, the miR396-GRF module was associated with Moso bamboo shoot development. Fluorescence in situ hybridization localized miR396 in the vascular tissues of the leaves, stems, and roots of pot Moso bamboo seedlings at the age of two months. Collectively, these experiments revealed that miR396 functions as a regulator of vascular tissue differentiation in Moso bamboo. Additionally, we propose that miR396 members are targets for bamboo improvement and breeding. [ABSTRACT FROM AUTHOR]

In the current digital era, crucial questions include whether and how nondemocratic regimes retain information control in the face of proliferating new communication technologies. The scholarship has long cited China as a prime example of how authoritarian regimes implement internet censorship. Echoing emergent studies that have called attention to the highly fragmented nature of China's censorship agencies, which operate at different government levels, this research addresses local censorship agencies and their practices. Combining participatory observations and in-depth interviews conducted in a district in H City, one of China's digital economy hubs, this research explores how the local censorship regime deploys soft forms of maintaining control over information. Based on an institutional approach, the findings show that the local censorship regime has adopted proactive strategies to build a reciprocal relationship with local news start-ups, forming a variant of 'contingent symbiosis'. The local censorship regime uses policy and economic stimulus to co-opt news start-ups, inducing them to distance themselves from politically sensitive issues and local negative news and boost local propaganda agendas. These internet organisations have attempted to sustain positive relationships with the local censorship regime to acquire government resources and patronage, which would ensure their stable operation and survival under stiff competition in a precarious institutional environment. This research further explains the conditions of fragmented governance and platformisation under which this contingent symbiosis forms and the routinised practices that sustain it. This relational governance is covert and brings new challenges to the free flow of information. [ABSTRACT FROM AUTHOR]

Pollutant transport has a substantial impact on the atmospheric environment in megacity clusters. However, owing to the lack of knowledge of vertical pollutant structure, quantification of transport processes and understanding of their impacts on the environment remain inadequate. In this study, we retrieved the vertical profiles of aerosols, nitrogen dioxide (NO 2), and formaldehyde (HCHO) using multi-axis differential optical absorption spectroscopy (MAX-DOAS) and analyzed three typical transport phenomena over the North China Plain (NCP) and Yangtze River Delta (YRD). We found the following: (1) the main transport layers (MTL) of aerosols, NO 2 , and HCHO along the southwest–northeast transport pathway in the Jing-Jin-Ji region were approximately 400–800, 0–400, and 400–1200 m, respectively. The maximum transport flux of HCHO appeared in Wangdu (WD), and aerosol and NO 2 transport fluxes were assumed to be high in Shijiazhuang (SJZ), both urban areas being significant sources feeding regional pollutant transport pathways. (2) The NCP was affected by severe dust transport on 15 March 2021. The airborne dust suppressed dissipation and boosted pollutant accumulation, decreasing the height of high-altitude pollutant peaks. Furthermore, the dust enhanced aerosol production and accumulation, weakening light intensity. For the NO 2 levels, dust and aerosols had different effects. At the SJZ and Dongying (DY) stations, the decreased light intensity prevented NO 2 photolysis and favored NO 2 concentration increase. In contrast, dust and aerosols provided surfaces for heterogeneous reactions, resulting in reduced NO 2 levels at the Nancheng (NC) and Xianghe (XH) stations. The reduced solar radiation favored local HCHO accumulation in SJZ owing to the dominant contribution of the primary HCHO. (3) Back-and-forth transboundary transport between the NCP and YRD was found. The YRD-to-NCP and NCP-to-YRD transport processes mainly occurred in the 500–1500 and 0–1000 m layers, respectively. This transport, accompanied by the dome effect of aerosols, produced a large-scale increase in PM 2.5 , further validating the haze-amplifying mechanism. [ABSTRACT FROM AUTHOR]

Hidden moving target defense (HMTD) is a proactive defense strategy that is kept hidden from attackers by changing the reactance of transmission lines to thwart false data injection (FDI) attacks. However, alert attackers with strong capabilities pose additional risks to the HMTD and thus, it is much-needed to evaluate the hiddenness of the HMTD. This paper first summarizes two existing alert attacker models, i.e., bad-data-detection-based alert attackers and data-driven alert attackers. Furthermore, this paper proposes a novel model-based alert attacker model that uses the MTD operation models to estimate the dispatched line reactance. The proposed attacker model can use the estimated line reactance to construct stealthy FDI attacks against HMTD methods that lack randomness. We propose a novel random-enabled HMTD (RHMTD) operation method, which utilizes random weights to introduce randomness and uses the derived hiddenness operation conditions as constraints. RHMTD is theoretically proven to be kept hidden from three alert attacker models. In addition, we analyze the detection effectiveness of the RHMTD against three alert attacker models. Simulation results on the IEEE 14-bus systems show that traditional HMTD methods fail to detect attacks by the model-based alert attacker, and RHMTD is kept hidden from three alert attackers and is effective in detecting attacks by three alert attackers. [ABSTRACT FROM AUTHOR]

The mechanism of the impact of inter-firm social networks on innovation capabilities has attracted much research from both theoretical and empirical perspectives. However, as a special emerged and developing complex production system, how the scenario factors affect the relationship between these variables has not yet been analyzed. This study identified several scenario factors which can affect the firm's technological innovation capabilities. Take the manufacturing scenario in China as an example, combined with the need for firms' ambidexterity innovation and green innovation capability, a multi-objective simulation model is constructed. Past empirical analysis results on the relationship between inter-firm social network factors and innovation capabilities are used in the model. In addition, a numerical analysis was conducted using data from the Chinese auto manufacturing industry. The results of the simulation model led to several optimization strategies for firms that are in a dilemma of development in the manufacturing scenario. [ABSTRACT FROM AUTHOR]

Quantum cryptography is the fastest growing field in quantum information science. In this paper, we demonstrate the application of quantum cryptography to financial security. Using the entanglement properties of χ -state particles and the distributed quantum one-time pad algorithm, we propose a new quantum blind signature scheme combined with the scenario requirements of supply chain finance. The main idea of the scheme is that each participant obtains a key with an associated relationship by measuring χ -state particles, and the participants sign and verify the information according to the distributed quantum one-time pad algorithm and the above key obtained. We carefully proved the correctness of the scheme. Under the security analysis, we preset five common attack methods using the scenario-resistance method. We verify that our scheme can prevent them. [ABSTRACT FROM AUTHOR]

SQUAMOSA Promoter-Binding Protein-Like (SPL) family is well-known for playing an important role in plant growth and development, specifically in the reproductive process. Bamboo plants have special reproductive characteristics with a prolonged vegetative phase and uncertain flowering time. However, the underlying functions of SPL genes in reproductive growth are undisclosed in bamboo plants. In the study, a total of 28 SPLs were screened from an ornamental dwarf bamboo species, Pleioblastus pygmaeus. Phylogenetic analysis indicates that 183 SPLs from eight plant species can be classified into nine subfamilies, and the 28 PpSPLs are distributed among eight subfamilies. Homologous analysis shows that as many as 32 pairs of homologous genes were found between P. pygmaeus and rice, and 83 pairs were found between P. pygmaeus and Moso bamboo, whose Ka/Ks values are all <1. MiRNA target prediction reveals that 13 out of the 28 PpSPLs have recognition sites complementary to miRNA156. To screen the SPLs involved in the reproductive growth of bamboo plants, the mRNA abundance of the 28 PpSPLs was profiled in the different tissues of flowering P. pygmaeus and non-flowering plants by RNA-Seq. Moreover, the relative expression level of eight PpSPLs is significantly higher in flowering P. pygmaeus than that in non-flowering plants, which was also validated by RT-qPCR. Combined with phylogenetic analysis and homologous analysis, the eight significant, differentially expressed PpSPLs were identified to be associated with the reproductive process and flower organ development. Among them, there are four potential miRNA156-targeting PpSPLs involved in the flowering process. Of significant interest in the study is the identification of 28 SPLs and the exploration of four key flowering-related SPLs from P. pygmaeus, which provides a theoretic basis for revealing the underlying functions of SPLs in the reproductive growth of bamboo plants. [ABSTRACT FROM AUTHOR]

Objectives: To investigate the correlation between serum and gingival crevicular fluid (GCF) levels of inflammatory cytokines and the association with periodontal parameters in patients with maintenance hemodialysis (MHD) and healthy control. Materials and methods: Patients who were undergoing MHD were enrolled as the MHD group. Healthy individuals who underwent oral examination were selected as the control group after matching for the MHD group. All participants underwent a full-mouth periodontal evaluation, and the levels of eight inflammatory cytokines, including IL-1β, IL-17, IL-6, IL-8, and tumor necrosis factor-α (TNF-α), monocyte chemoattractant protein-1 (MCP-1), matrix metalloproteinase-8 (MMP-8), and C-reactive protein (CRP), in the GCF and serum were measured. Results: A total of 63 MHD patients and 75 healthy persons were included. The prevalence of moderate/severe periodontitis was significantly higher in the MHD group than in the control group (88.9 vs. 66.7%, P < 0.05). The GCF levels of CRP, TNF-α, MCP-1, and MMP-8 were higher in patients in the MHD group with moderate/severe periodontitis than in the control group (P < 0.05). Serum CRP, MCP-1, TNF-α, and MMP-8 levels were positively correlated with the GCF CRP levels (P < 0.05). The GCF and serum CRP levels were positively correlated with the periodontal clinical parameters (P < 0.05). Conclusions: Serum CRP, MCP-1, TNF-α, and MMP-8 may relate with the GCF CRP levels. The GCF and serum CRP levels correlated positively with the periodontal clinical parameters, including the VPI, PPD, and CAL, indicating that CRP may play an important role between periodontitis and ESRD. Clinical relevance: The present study indicated that GCF and serum CRP levels correlated positively with the periodontal clinical parameters, and the CRP levels may be selected as an indicator to evaluate the severity of inflammation and the effectiveness, prognosis of periodontal treatment in ESRD patients. [ABSTRACT FROM AUTHOR]

Objective: Detecting dysthyroid optic neuropathy (DON) in the early stages is vital for clinical decision-making. The aim of this study was to determine the feasibility of using an optic-nerve-based radiomics nomogram on water-fat imaging for detecting DON. Methods: This study included 104 orbits (83 in the training cohort) from 59 DON patients and 131 orbits (80 in the training cohort) from 69 thyroid-associated ophthalmopathy (TAO) without DON patients. Radiomic features were extracted from the optic-nerve T2-weighted water-fat images for each patient. Selected radiomics features were retrained to construct the radiomic signature model and calculate the radiomic score (Rad-score). The conventional MRI evaluation model was constructed based on apical crowding sign, optic-nerve stretching sign and muscle index. The radiomics nomogram model combining the Rad-score and conventional MRI evaluation factors was then developed. Predictive performance of the three models was assessed using ROC curves. Results: Eight radiomics features from water-fat imaging were selected to build the radiomics signature. The radiomics nomogram (based on Rad-score, apical crowding sign and optic-nerve stretching sign) had superior diagnostic performance than did the conventional MRI evaluation model (AUC in the training set: 0.92 vs 0.80, the validation set:0.88 vs 0.75). Decision curve analysis confirmed the clinical usefulness of the radiomics nomogram. Conclusions: This optic-nerve-based radiomics nomogram showed better diagnostic performance than conventional MRI evaluation for differentiating DON from TAO without DON. The changes of the optic-nerve itself may deserve more consideration in the clinical decision-making process. [ABSTRACT FROM AUTHOR]