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Noncanonical pyroptosis pathway: a promising target of traditional Chinese medicine in the treatment of sepsis-related injury

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Integrative Medicine Discovery 2024年第20期8卷 1-4页

作者： ya.-ya. cen Pan Wang Ting Zhu ya.Lan Xiong Xi-Chun Pan Department of Pharmacology College of PharmacyArmy Medical UniversityChongqing 400038China.

Sepsis is a life-threatening disease of organ failure caused by dysregulated host responses to infection and other infectious ***-organ injury is the leading cause of high mortality and septic shock during *** studies suggest that noncanonical pyroptosis,characterized mainly by the direct activation of caspase-11-gasdermin D-mediated pyroptosis by cytoplastic lipopolysaccharide,is closely related to sepsis-related organ ***,this review summarizes recent advances in the regulatory mechanisms and targeted natural products from traditional Chinese medicine of the noncanonical pyroptosis pathway in sepsis-related injury.

关键词： sepsis-related injury noncanonical pyroptosis caspase-11 gasdermin D

超越看门人:社交媒体平台网络暴力治理比较研究

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苏州大学学报（哲学社会科学版） 2024年第4期45卷 172-180页

作者：胡岑岑黄雅兰北京体育大学新闻与传播学院北京100084 暨南大学新闻与传播学院广东广州510647

面对愈演愈烈的网络暴力,我国社交媒体平台采取了一系列治理措施。本文以国内15个主要社交媒体平台作为研究对象,对其涉及网络暴力的209份文件做内容分析,并对实际效果进行审计。研究发现,绝大多数平台未能清晰界定网络暴力;尽管所有平... 详细信息

面对愈演愈烈的网络暴力,我国社交媒体平台采取了一系列治理措施。本文以国内15个主要社交媒体平台作为研究对象,对其涉及网络暴力的209份文件做内容分析,并对实际效果进行审计。研究发现,绝大多数平台未能清晰界定网络暴力;尽管所有平台都在事前、事中和事后三个环节采取了举措,但实际治理尺度各不相同,治理效力仍有较大提升空间,具体表现为:对违规内容的甄别和警示力度不足,一键防护设置路径复杂,处理举报的精度和速度需提升,以及关怀救助环节较薄弱。最后,提出平台完善治理举措的具体方式,并指出,治理网络暴力需要超越平台,建立多元主体参与的责任共同体和治理共同体。

关键词：网络暴力社交媒体互联网治理平台政策看门人

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Impacts of multi-scenario land use change on ecosystem services and ecological security pattern: A case study of the Yellow River Delta

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Research in Cold and Arid Regions 2024年第1期16卷 30-44页

作者： XueHua cen Hua Zhang College of Geography and Environmental Science Northwest Normal UniversityLanzhouGansu 730070China

The Yellow River Delta(YRD), a critical economic zone along China's eastern coast, also functions as a vital ecological reserve in the lower Yellow River. Amidst rapid industrialization and urbanization, the region has witnessed significant land use/cover changes(LUCC), impacting ecosystem services(ES) and ecological security patterns(ESP). Investigating LUCC's effects on ES and ESP in the YRD is crucial for ecological security and sustainable development. This study utilized the PLUS model to simulate 2030 land use scenarios, including natural development(NDS), economic development(EDS), and ecological protection scenarios(EPS). Subsequently, the InVEST model and circuit theory were applied to assess ES and ESP under varying LUCC scenarios from 2010 to 2030. Findings indicate:(1) Notable LUCC from 2010 to 2030, marked by decreasing cropland and increasing construction land and water bodies.(2) From 2010 to 2020, improvements were observed in carbon storage,water yield, soil retention, and habitat quality, whereas 2020–2030 saw increases in water yield and soil retention but declines in habitat quality and carbon storage. Among the scenarios, EPS showed superior performance in all four ES.(3) Between 2010 and 2030, ecological sources, corridors, and pinchpoints expanded, displaying significant spatial heterogeneity. The EPS scenario yielded the most substantial increases in ecological sources,corridors, and pinchpoints, totaling 582.89 km^(2), 645.03 km^(2),and 64.43 km^(2), respectively. This study highlights the importance of EPS, offering insightful scientific guidance for the YRD's sustainable development.

关键词： Land use change Multi-scenario simulation Ecosystem services Ecological security pattern The Yellow River Delta Circuit theory

Multi-Smart Meter Data Encryption Scheme Basedon Distributed Differential Privacy

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Big Data Mining and Analytics 2024年第1期7卷 131-141页

作者： Renwu ya. ya.g Zheng Ning Yu cen Liang School of Electronic Electrical Engineering and PhysicsFujian University of TechnologyFuzhou 350118China Department of Computing Sciences at The College at Brockport State University of New YorkNew YorkNY 14420USA

Under the general trend of the rapid development of smart grids,data security and privacy are facing serious challenges;protecting the privacy data of single users under the premise of obtaining user-aggregated data has attracted widespread *** this study,we propose an encryption scheme on the basis of differential privacy for the problem of user privacy leakage when aggregating data from multiple smart ***,we use an improved homomorphic encryption method to realize the encryption aggregation of users’***,we propose a double-blind noise addition protocol to generate distributed noise through interaction between users and a cloud platform to prevent semi-honest participants from stealing data by colluding with one ***,the simulation results show that the proposed scheme can encrypt the transmission of multi-intelligent meter data under the premise of satisfying the differential privacy *** if an attacker has enough background knowledge,the security of the electricity information of one another can be ensured.

关键词： smart grid homomorphic encryption data aggregation differential privacy cloud computing

Accelerating BERT inference with GPU-efficient exit prediction

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Frontiers of Computer Science 2024年第3期18卷 31-42页

作者： Lei LI Chengyu WANG Minghui QIU cen CHEN Ming GAO Aoying ZHOU Shanghai Engineering Research center of Big Data Management School of Data Science and EngineeringEast China Normal UniversityShanghai 200062China Alibaba Group Hangzhou 311121China KLATASDS-MOE School of StatisticsEast China Normal UniversityShanghai 200062China

BERT is a representative pre-trained language model that has drawn extensive attention for significant improvements in downstream Natural Language Processing(NLP)*** complex architecture and massive parameters bring BERT competitive performance but also result in slow speed at model inference *** speed up BERT inference,FastBERT realizes adaptive inference with an acceptable drop in accuracy based on knowledge distillation and the early-exit ***,many factors may limit the performance of FastBERT,such as the teacher classifier that is not knowledgeable enough,the batch size shrinkage and the redundant computation of student *** overcome these limitations,we propose a new BERT inference method with GPU-Efficient Exit Prediction(GEEP).GEEP leverages the shared exit loss to simplify the training process of FastBERT from two steps into only one step and makes the teacher classifier more knowledgeable by feeding diverse Transformer outputs to the teacher *** addition,the exit layer prediction technique is proposed to utilize a GPU hash table to handle the token-level exit layer distribution and to sort test samples by predicted exit *** this way,GEEP can avoid batch size shrinkage and redundant computation of student *** results on twelve public English and Chinese NLP datasets prove the effectiveness of the proposed *** source codes of GEEP will be released to the public upon paper acceptance.

关键词： BERT FastBERT inference acceleration model distillation early exit text classification

Scale offers the possibility of identifying adherence to lifestyle interventions in patients with non-alcoholic fatty liver disease

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World Journal of Gastroenterology 2024年第25期30卷 3179-3181页

作者： cen-Qin Liu Bing Hu Department of Gastroenterology and Hepatology West China HospitalSichuan UniversityChengdu 610041Sichuan ProvinceChina Department of Gastroenterology and Hepatology/Medical Engineering Integration Laboratory of Digestive Endoscopy West China HospitalSichuan UniversityChengdu 610041Sichuan ProvinceChina

Nonalcoholic fatty liver disease(NAFLD)is the most common chronic liver disorder,and dietary and lifestyle interventions remain the mainstays of NAFLD *** et al established a prediction system to evaluate adherence to lifestyle interventions in patients with NAFLD and choose optimal ***,we discuss the application scenarios of the scale and the areas warranting further attention,aiming to provide a possible reference for clinical recommend-ations.

关键词： Nonalcoholic fatty liver disease Dietary and lifestyle interventions Scale Adherence Exercise

Structured Multi-Head Attention Stock Index Prediction Method Based Adaptive Public Opinion Sentiment Vector

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Computers, Materials & Continua 2024年第1期78卷 1503-1523页

作者： Cheng Zhao Zhe Peng Xuefeng Lan Yuefeng cen Zuxin Wang School of Economics Zhejiang University of TechnologyHangzhouChina College of Management Zhejiang University of TechnologyHangzhouChina Informatization Office Zhejiang University of TechnologyHangzhouChina School of Information and Electronic Engineering Zhejiang University of Science&TechnologyHangzhouChina School of Economics and Management Universiti Putra MalaysiaDaerah PetalingNegeri SelangorMalaysia

The present study examines the impact of short-term public opinion sentiment on the secondary market,with a focus on the potential for such sentiment to cause dramatic stock price fluctuations and increase investment *** quantification of investment sentiment indicators and the persistent analysis of their impact has been a complex and significant area of *** this paper,a structured multi-head attention stock index prediction method based adaptive public opinion sentiment vector is *** proposedmethod utilizes an innovative approach to transform numerous investor comments on social platforms over time into public opinion sentiment vectors expressing complex *** then analyzes the continuous impact of these vectors on the market through the use of aggregating techniques and public opinion data via a structured multi-head attention *** experimental results demonstrate that the public opinion sentiment vector can provide more comprehensive feedback on market sentiment than traditional sentiment polarity ***,the multi-head attention mechanism is shown to improve prediction accuracy through attention convergence on each type of input information *** absolute percentage error(MAPE)of the proposedmethod is 0.463%,a reduction of 0.294% compared to the benchmark attention ***,the market backtesting results indicate that the return was 24.560%,an improvement of 8.202% compared to the benchmark *** results suggest that themarket trading strategy based on thismethod has the potential to improve trading profits.

关键词： Public opinion sentiment structured multi-head attention stock index prediction deep learning

Performance and mechanism of CO_(2) absorption during the simultaneous removal of SO_(2) and NO_(x) by wet scrubbing process

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Journal of Environmental Sciences 2024年第1期135卷 534-545页

作者： Peng Lu Xianhui ya. Lyumeng Ye Dingsheng Chen Dongya. Chen Jianhang Huang Chaoping cen Guangdong Province Engineering Laboratory for Air Pollution Control South China Institute of Environmental SciencesMinistry of Ecology and EnvironmentGuangzhou 510655China Guangdong Provincial Key Laboratory of Water and Air Pollution Control Guangzhou 510655China School of Environmental Science and Engineering Sun Yat-sen UniversityGuangzhou 510275China

The co-removal of CO_(2)while removing SO_(2)and NOxfrom industrial flue gas has great potential of carbon emission reduction but related research is *** this study,a wet scrubbing process with various urea solutions for desulfurization and denitrification was explored for the possibility of CO_(2)*** results showed that the urea-additive solutions were efficient for NOxand SO_(2)abatement,but delivered<10%CO_(2)absorption *** addition of Ca(OH)_(2)dramatically enhanced the CO_(2)absorption,remained the desulfurization efficiency,unfortunately restricted the denitrification *** various operating parameters,pH of solution played a determining role during the *** contradictory pH demands of CO_(2)absorption and denitrification were observed and discussed in detail.A higher pH of solution than 10 was favorable for CO_(2)absorption,while the oxidizing of NO to NO_(2),NO_(2)^(-)or NO_(3)^(-)by NaClO_(2)was inhibited in this ***7

关键词： CO_(2)absorption Synergistic desulfurization and denitrification Wet scrubbing process Urea-NaClO_(2)-Ca(OH)_(2)absorbent Carbonation reaction

B-COPNA resin formation from ethylene tar light fractions:Process development and mechanical exploration by molecular simulation

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Chinese Journal of Chemical Engineering 2024年第6期70卷 118-129页

作者： Hongya. Shen Lingrui Cui Xingguo Wei Yuanqin Zhang Lian cen Jun Xu Fahai Cao Engineering Research center of Large Scale Reactor East China University of Science and TechnologyShanghai 200237China

An efficient utilization strategy of ethylene tar(ET),the main by-product of the ethylene cracking unit,is urgently required to meet demands for modern petrochemical *** the other hand,condensed polynuclear aromatic resin of moderate condensation degree(B-COPNA)is a widely used carbon material due to its superb processability,the production of which is,however,seriously limited by the high cost of raw *** such context,an interesting strategy was proposed in this study for producing B-COPNA resin using crosslinked light fractions of ethylene tar(ETLF,boiling point<260℃)facilitated by molecular simulation.1,4-Benzenedimethanol(PXG)was first selected as the crosslinking agent according to the findings of molecular *** effects of operating conditions,including reactions temperature,crosslinking agent,and catalyst content on the softening point and yield of B-COPNA resin products were then investigated to optimize the *** reaction mechanism of resin production was studied by analyzing the molecular structure and transition state of ETLF and crosslinking *** was shown that PXG exhibited a superior capacity of withdrawing electrons and a higher electrophilic reactivity than other crosslinking *** addition to the highest yield and greatest heat properties,PXG-prepared resin contained the most condensed *** corresponding optimized conditions of resin preparation were 180℃,1:1.9(PXG:ETLF),and 3%(mass)of catalyst content with a resin yield of 78.57%.It was the electrophilic substitution reaction that occurred between the ETLF and crosslinking agent molecules that were responsible for the resin formation,according to the experimental characterization and molecular ***,it was confirmed that the proposed strategy and demonstrated process can achieve a clean and high value-added utilization of ETLF via B-COPNA resin preparation,bringing huge economic value to the current petrochemical industry.

关键词： Ethylene tar Crosslinking COPNA resin Molecular simulation Transient state