Overexpression of wild-type HRAS drives non-alcoholic steatohepatitis to hepatocellular carcinoma in mice

Hepatocellular carcinoma(HCC),a prevalent solid carcinoma of significant concern,is an aggressive and often fatal disease with increasing global incidence rates and poor therapeutic outcomes.The etiology and pathological progression of non-alcoholic steatohepatitis(NASH)-related HCC is multifactorial and multistage.However,no single animal model can accurately mimic the full NASH-related HCC pathological progression,posing considerable challenges to transition and mechanistic studies.Herein,a novel conditional inducible wild-type human HRAS overexpressed mouse model(HRAS-HCC)was established,demonstrating 100%morbidity and mortality within approximately one month under normal dietary and lifestyle conditions.Advanced symptoms of HCC such as ascites,thrombus,internal hemorrhage,jaundice,and lung metastasis were successfully replicated in mice.In-depth pathological features of NASH-related HCC were demonstrated by pathological staining,biochemical analyses,and typical marker gene detections.Combined murine anti-PD-1 and sorafenib treatment effectively prolonged mouse survival,further confirming the accuracy and reliability of the model.Based on protein-protein interaction(PPI)network and RNA sequencing analyses,we speculated that overexpression of HRAS may initiate the THBS1-COL4A3 axis to induce NASH with severe fibrosis,with subsequent progression to HCC.Collectively,our study successfully duplicated natural sequential progression in a single murine model over a very short period,providing an accurate and reliable preclinical tool for therapeutic evaluations targeting the NASH to HCC continuum.

一种无桥高增益单级LED驱动电路及其混合控制策略

中小功率的LED驱动电源中,传统两级LED驱动电源存在体积大、成本高以及传统Boost PFC电路在低压输入时导通损耗大等问题。为此提出一种由无桥二次型Boost PFC电路和DC-DC LLC电路集成的无桥高增益单级LED驱动电路,实现了高电压增益、功率开关器件软开关、一套控制电路和高电路转换效率。针对单级电路在电网输入电压变化引起直流母线电压变动范围大等问题,设计一种适用于所提电路的APWM-PFM混合控制策略,并对混合控制原理和控制过程进行详细分析。最后设计一台200 W的实验样机,在输入电压80~120 Vrms范围内,占空比最大为0.5,最大电压增益为6.7,直流母线电压基于网侧特性和LLC电路特性设计在700 V以内,样机的功率因数值均高于0.990,THD均低于15%。在满载条件下,110 Vrms输入时,样机效率为93.20%,相比于传统无桥PFC,电压增益提高了2.21倍,实现了高电压增益和软开关,有效提升了在低压输入条件下的电路转换效率。仿真和实验结果验证了所提出电路和控制方法的有效性。

Serum Concentrations of Angiotensin, C-Reactive Protein, Interleukin-8, and Tumor Necrosis Factor-α in Train Driver Population

Train drivers are engaged in high-stress job. It may induce sleep, fatigue, and alertness loss at work, and endanger public safety. It’s unclear that cytokines of train driver would be influenced by their job. The research considers the hypothesis that stressful professions, such as train driver, influence the body’s immune system through the long-time and high-pressure working, and change production of neuro-immune factors. Using enzyme linked immunosorbent assay (ELISA), several neuro-immune factors were assayed among train drivers (N = 82) and health blood donors (N = 80) enrolled in the Yunnan Collaborative Innovation Center for Public Health and Disease Control. The concentrations of angiotensin, C-reactive protein (CRP), interleukin-8 (IL-8), and tumor necrosis factor-alpha (TNF-α) were determined. Kruskal-Wallis test and Dunn’s multiple comparisons test were performed for overall comparison between groups and for pairwise comparison, respectively. Statistical significance level was set at P < 0.05. The profession of train driving was not associated with significant increases or decreases in the systemic levels of inflammatory (CRP, IL-8, and TNF-α), but it was associated with the high expression of angiotensin in vivo. These findings suggest that the job of train driving may not be associated with significant alterations in systemic immune condition, but arouse the level of angiotensin.

危险货物运输驾驶人风险倾向分类及识别模型研究

为合理评估危险货物运输驾驶人驾驶过程中的风险倾向,建立危险货物运输驾驶人风险倾向聚类及辨识体系,以动态监控系统中记录的驾驶人实时违规预警数据为基础,选取可能引发交通冲突的安全关键事件为特征参数,利用探索性因子分析方法实现指标降维,提取驾驶人风险倾向主因子,并通过K means算法聚类不同风险倾向的驾驶人,最后基于聚类结果监督训练随机森林模型,辨识未知驾驶人的风险倾向。结果表明,利用选取的8类安全关键事件特征参数,可以将驾驶人风险倾向划分为攻击驾驶倾向、鲁莽驾驶倾向、驾驶分神倾向和驾驶疲劳倾向,且可以识别风险较低的驾驶人,基于随机森林模型的驾驶人风险倾向识别准确率为88.68%,可以较好地实现危险货物运输驾驶人风险倾向辨识。研究结果为危险货物运输驾驶人风险倾向分类及识别提供了方法依据。

车辆跟驰行为的主要影响因素研究综述

概述国内外车辆跟驰行为,重点分析L0—L5级车辆跟驰行为的主要影响因素,明确各因素对车辆跟驰行为的影响机制,为解决由驾驶人、车辆特性和车辆自动化等级导致的跟驰行为问题提出合理的解决思路,最后提出综合考虑驾驶人和车辆特性因素影响下L0—L5级车辆的跟驰行为,驾驶不同等级的L0—L5级车辆驾驶人驾驶风格与自动化等级之间的耦合跟驰行为,以及L4—L5级车辆的行为预测与跟踪对车辆跟驰行为的影响等是未来需要进一步研究的主要问题。

基于无源均流的谐振式无桥型Boost LED驱动电源

传统Boost功率因数校正变换器的输出电压必须大于输入电压,在一定程度上限制了其在LED驱动电源中的应用。同时,传统LED驱动电源因输入端整流桥的存在而限制了自身效率的进一步提升。基于谐振式Boost功率因数校正变换器拓扑提出了一种无源均流型无桥Boost LED驱动电源,通过引入谐振式电容均流网络,实现了多路均流输出;通过整流桥的去除,进一步提升了系统的效率。最后,搭建了一台效率可达93.64%的140 W实验样机,验证了理论分析的正确性与可行性。

兴隆山典型林分土壤呼吸的空间异质性分析

为探明兴隆山森林生态系统典型林分土壤碳呼吸的日变化、月际动态特征及其影响因子,利用LI-8100土壤呼吸测定室对辽东栎林、山杨-白桦混交林、油松林和青杄林土壤呼吸速率(R_(s))进行连续观测,采用指数方程拟合R_(s)对土壤温度(T_(5))、土壤含水量(W_(5))的响应.结果表明,各林分覆枯落物与裸地的Rs日变化均呈先增加后下降的单峰型曲线,但达到峰值的时间各不相同,各林分R_(s)与T_(5)间均有显著相关性.各林分R_(s)在8月达到峰值,为2.6~7.0μmol/(m^(2)·s),与其土壤性质的表现一致:辽东栎林和杨桦混交林土壤容重较低,具有较高的全氮、全磷及有机质含量,其Rs亦较高,油松林、青杄林表现相反.枯落物对各林分R_(s)的贡献率分别为59.83%(辽东栎林)、41.46%(山杨-白桦混交林)、28.68%(油松林)和11.83%(青杄林),各林分覆枯落物时的Rs明显高于裸地.不同林分Rs的变化特征是水热因子联合效应的结果,R_(s)受T_(5)影响最大,受W_(5)的影响作用相对较小.

芜湖市公交驾驶员职业倦怠现状及影响因素分析

目的:了解芜湖市公交驾驶员职业倦怠现况,并分析职业倦怠相关影响因素。方法:于2022年9至11月采用一般资料调查表、职业倦怠量表-普适版(MBI-GS)、匹兹堡睡眠质量指数量表(PSQI)对芜湖市1388名公交驾驶员进行问卷调查。采用多因素Logistic回归分析影响公交驾驶员职业倦怠的因素,采用Spearman相关性分析探讨公交驾驶员职业倦怠总分及其各维度得分与睡眠质量总分及其各维度得分的相关性。结果:1388名公交驾驶员中,职业倦怠阳性的有642名,占46.3%;存在睡眠障碍的有139名,占10.0%。多因素Logistic回归分析显示公交驾龄长(OR=1.873,95%CI:1.325~2.648)、月收入低(OR=0.376,95%CI:0.158~0.774)、吸烟频率高(OR=1.313,95%CI:1.188~2.163)、饮酒频率高(OR=1.342,95%CI:1.018~1.769)、每周体育锻炼次数少(OR=0.367,95%CI:0.243~0.555)、睡眠质量差(OR=13.110,95%CI:7.284~23.594)是公交驾驶员职业倦怠的影响因素(P<0.05),Spearman相关性分析结果显示公交驾驶员职业倦怠总分及其各维度得分与睡眠质量总分及其各维度得分均呈正相关(r_(s)=0.12~0.83,P<0.01)。结论:芜湖市公交驾驶员职业倦怠问题较严重,一部分驾驶员存在睡眠问题,应引起高度重视并及时采取积极的应对措施。

一种BCM Boost PFC电路的VCFF控制策略

临界导通模式Boost功率因素校正(PFC)电路通常采用恒定导通时间(COT)控制策略,导致开关频率的变化与输入电压、输出功率以及电感有关,轻载下过高的开关频率将影响电路的转换效率,故提出一种谷底计数频率反走(VCFF)控制策略。通过检测MOS管两端电压谷底计数,使电路轻载时工作在断续模式,从而降低开关频率以提升轻载效率。实验结果表明,相比于COT控制策略,所提控制策略能够有效提高轻载效率。输入电压为220 Vrms下,10%~50%负载时效率在0.96以上。

一种新型两开关无电解电容LED驱动电路

LED驱动电源通常需要大电解电容来减少低频电流纹波,电解电容的短寿命是制约LED驱动电源寿命的重要因素,消除电解电容是LED驱动电源长寿命的关键。为此,提出了一种基于反激变换器的两开关无电解电容LED驱动电路拓扑,将辅助功率平衡电路与反激变换器集成,通过2个开关管实现瞬时输入功率与输出功率的平衡,消除电解电容,抑制输出电流低频纹波,实现高功率因数。详细分析了该拓扑的工作原理,并提出了一种适用于该电路拓扑的控制策略。最后搭建了1台30 W的原理样机,实验结果验证了该拓扑的可行性。

公共交通噪声性听力损失研究进展

公共交通噪声是指交通工具运行时产生的妨害人们正常生活和工作的声音。分为机动车噪声、飞机噪声、火车噪声等。一般指机动车辆在城市内交通干线上行驶时产生的噪声。在飞速发展的时代,因公共交通造成的听力损失不容小觑。造成听力损失的公共交通来源广泛,如公交车、地铁等,听力损失的占比也有初步统计,目前探究的可能影响因素有工龄和身体的健康情况等,可能的机制有声波对内耳机械刺激以及氧化应激等。听力损失的防治也主要是通过管理和保护措施来控制噪声源、切断噪声传播途径和加强个人防护等。本文就近年来公共交通驾驶员噪声性听力损失的特点、机制、防治等进行综述。以期对公共交通驾驶员噪声性听力损失的深入研究及减少我国因公共交通造成的噪声性听力损失的发病率有提供参考。

互联网+时代车险用户消费行为演变及驱动因素研究

随着互联网技术的飞速发展,传统保险行业正在经历着前所未有的变革,车险行业也在互联网的推动下,尤其是综改施行后,发生翻天覆地的效率提升和模式创新,车险“降价、增保、提质”的阶段性目标得以实现,更多消费者享受到了车险综改的红利,互联网+时代为车险行业带来了新的机遇和挑战,也影响并改变着车险用户的消费行为。本文针对新时代背景下的车险用户消费行为变化和驱动因素开展研究,旨在助力险企深入洞察了解客户、提升精准获客能力。本文中先综述现有研究现状,明确研究必要性;再提出假设,设计UTAUT模型与logistic回归分析模型;开展描述性统计、相关性分析,结果显示对用户消费行为产生显著影响的驱动因素包括感知因素、社会影响和期望努力。最后分别从政府监管、保险公司和消费者三个方面提出增强当前时代背景下车险用户消费行为的改进对策。

An empirical research on driving factors of CSR of foreignfunded enterprises from the perspective of ecological civilization

The significance of the construction of ecological civilization lies not only in the protection and management of the ecological environment in China, but also in the improvement of people's awareness of the protection of the natural environment and the unique understanding of the relationship between man and man, society and man and nature, the deep analysis of the relationship between between economic development and environmental protection. Taking the ecological civilization as the angle of view, taking 20 foreign-funded enterprises in Hohhot, Baotou, Erdos and Chifeng of Inner Mongolia Autonomous Region as the research object, using the questionnaire method, the basic data of the enterprises are analyzed by mathematical statistics. The conclusion is that the driving factors of the basic social responsibility of the foreign-funded enterprises mainly come from the requirements of relevant laws and regulations. The main driving force of the medium-level corporate responsibility comes from the promotion of corporate brand image, and the main driving force of corporate responsibility comes from obtaining legal business.

Analysis of Traffic Accidents in Vietnam

Understanding the causes and solutions of road traffic accidents is important for developing road and action plans in a country. In Vietnam, awareness of traffic participants is the main cause of serious traffic accidents. In recent years, the number of road traffic accidents in Tuyen Quang province with deaths has decreased, but the number of accidents has increased significantly. The article uses data on traffic accidents in Tuyen Quang over the (2016-2023) has been analytically reviewed. From there, analyze accident characteristics and causes of traffic accidents in Tuyen Quang province, and propose solutions to improve traffic safety in Tuyen Quang, Vietnam. The findings can be information for managers and researchers interested in studying the province of Tuyen Quang, Vietnam road traffic safety. Additionally, the findings have led the government to achieve national targets in reducing the number of accidents and serious injuries.

基于最佳观感效果的电子后视镜图像处理方法

传统玻璃后视镜风阻风噪大,无法接入智能驾驶系统,所以电子后视镜取代传统后视镜已成为趋势。但电子后视镜使用鱼眼摄像机,所显示图像畸变大,无法像玻璃后视镜一样在近距离放大驾驶员所关注的视野,远距离缩小物体以此显示更多视野。通过对玻璃视镜放大系数和驾驶员视野角和物距的分析,得出适用于电子后视镜图像放大系数变换的方法,根据此方法对电子后视镜图像进行处理,以此达到显示最佳观感。实验结果证明,变换后的电子后视镜图像各处放大系数与玻璃视镜相差为9.52%,优于市面上仅经过鱼眼矫正的图像显示效果,在司机主观观感上能很好地提供“近距离放大外部环境,远距离更大视野”的功能,提高了驾驶安全性。

Analyzing Drivers’ Mental Patterns Using Q-Methodology

The human factor is the most important cause of road accidents. Investigating the drivers’ mental patterns can lead to a better understanding of the factors that affect drivers to make a mistake and thus increase the likelihood of an accident. In this study, mental patterns of drivers as a human characteristic are determined through a questionnaire survey. To do this, 166 participants (18 - 65 years) were asked to express their opinion on the possible effect of 25 factors on the occurrence of accidents. These factors were selected through the investigation of the accident database during the last three years in different areas of the case study. To analyze the data extracted from the survey, Q-methodology was used. The results of the factor analysis showed that there are 5 mental patterns among the participants. Based on the driver’s opinion, human factors and road conditions were the most and least influential accident-generating items, respectively. The most significant reason for accidents determined by drivers was human errors including 1) unauthorized overtaking, 2) unauthorized speed, 3) driver distractions (such as cell phone), and 4) driver physical disability (such as visual impairment). Moreover, the failure of the vehicle was mostly reported as another influential contributor to accidents. It is worth mentioning that the results of this study can be used to minimize accidents resulted from drivers’ behavioral errors by suggesting strategies for enhancing their performance through new manuals which is a step towards a safer road.

Adaptive Continuous Current Source Drivers for 1-MHz Boost PFC Converters

针对高频功率因数校正（power factor correction，PFC）变换器，提出自适应电流源驱动电路（current source driver，CSD）。由于PFC变换器的占空比在一个输入工频周期内不断变化，半桥结构CSD驱动电路很难应用于PFC场合中。为了解决上述问题，提出全桥结构CSD电路。该CSD电路具有连续电感电流，且驱动电流会随着主功率MOSFET开关电流的自适应调整，以实现最优设计。详细给出工作原理、损耗分析和设计优化方法，并进行实验验证。

数据要素新动能对制造业高质量发展的影响研究

研究数据要素新动能对制造业高质量发展的影响效应及作用机理,对于突破传统动力弱化所导致的发展约束,推进经济社会高质量发展具有重要现实意义。基于制造业高质量发展的“驱动力—压力—状态—影响—响应”(DPSIR)评价指标体系,对2008—2019年中国31个省份的制造业高质量发展指数进行熵值处理,运用面板Tobit模型,检验数据要素新动能对制造业高质量发展的影响效应。结果显示:中国制造业高质量发展指数呈现“稳步提升”的发展趋势,子系统差异显著;制造业高质量发展指数呈现“东部地区>西部地区>中部地区”的分布格局,东部地区领先优势较为明显,地区差异呈现“先升后降”的演变趋势。数据要素对中国制造业高质量发展具有显著的促进作用,但区域异质性特征明显,西部地区数据要素新动能对制造业高质量发展具有显著的促进作用,而东部地区和中部地区的影响不显著。全国视角下的财政投入、城镇化发展、外商投资、电力消耗对制造业高质量发展具有正向作用,而工业化水平、技术市场规模、地区开放和科技改进的作用相反。分地区视角下,城镇化水平和电力消耗对东部、中部及西部地区的制造业高质量发展均有正向作用,工业化水平则对三大地区的制造业高质量发展均存在抑制效应,技术市场规模、企业信息化、外商投资、地区开放和科技改进对三大地区的影响皆不相同。最后,从数据要素的权属界定、要素流动、高效利用和安全保护等方面,围绕深化数据要素新动能对制造业高质量发展的促进效应提出相关政策建议。

Standardized Evaluation of Camera-based Driver State Monitoring Systems

Driver state sensing technologies, such as vehicular systems, start to be widely considered by automotive manufacturers. To reduce the cost and minimize the intrusiveness towards driving, the majority of these systems rely on the in-cabin camera(s) and other optical sensors. With their great capabilities in detecting and intervening of driver distraction and inattention,these technologies may become key components in future vehicle safety and control systems. However, to the best of our knowledge,currently, there is no common standard available to objectively compare the performance of these technologies. Thus, it is imperative to develop one standardized process for evaluation purposes.In this paper, we propose one systematic and standardized evaluation process after successfully addressing three difficulties:1) defining and selecting the important influential individual and environmental factors, 2) countering the effects of individual differences and randomness in driver behaviors, and 3) building a reliable in-vehicle driver head motion tracking tool to collect ground-truth motion data. We have collected data on a large scale on a commercial driver state-sensing platform. For each subject, 30 to 40 minutes of head motion data was collected and included variables, such as lighting conditions, head/face features,and camera locations. The collected data was analyzed based on a proposed performance measure. The results show that the developed process can efficiently evaluate an individual camerabased driver state sensing product, which builds a common base for comparing the performance of different systems.

Flood Generation Mechanisms and Potential Drivers of Flood in Wabi-Shebele River Basin, Ethiopia

Flood is a natural process generated by the interaction of various driving factors. Flood peak flows, flood frequency at different return periods, and potential driving forces are analyzed in this study. The peak flow of six gauging stations, with a catchment area ranging from 169 - 124,108 km2 and sufficient observed streamflow data, was selected to develop threshold (3rd quartile) magnitude and frequency (POTF) that occurred over ten years of records. Sixteen Potential climatic, watershed and human driving factors of floods in the study area were identified and analyzed with GIS, Pearson’s correlation, and Principal Correlation Analysis (PCA) to select the most influential factors. Eight of them (MAR, DA, BE, VS, sand, forest AGR, PD) are identified as the most significant variables in the flood formation of the basin. Moreover, mean annual rainfall (MAR), drainage area (DA), and lack of forest cover are explored as the principal driving factors for flood peak discharge in Wabi-Shebele River Basin. Finally, the study resulted in regression equations that helped plan and design different infrastructure works in the basin as ungauged catchment empirical equations to compute QMPF, Q5, Q10, Q50, and Q100 using influential climate, watershed, and human driving factors. The results of these empirical equations are also statistically accepted with a high significance correlation (R2 > 0.9).