Vehicle Operating, Accident and User Time Costs in Pavement Management Systems： Approach for Portuguese Conditions

This paper presents a description and analysis of the most important models to predict each of the Road User Costs components （Vehicle Operating Costs, Accident Costs and Value of Time） and proposes a model for estimating RUC components suitable for the Portuguese road network. These results are part of a research which aimed to obtain a Road User Cost Model to be used as a tool in road management systems. This model is different from other models by the fact that it includes a simple formulation that allows calibration and calculation of cost parameters, for any year, in a simple and fast way, providing trustworthy results. The required data is already available in Portuguese institutions, allowing periodic revision of cost parameters to insure accuracy.

Traffic Incident Management Performance Measures: Ranking Agencies on Roadway Clearance Time

This study develops a procedure to rank agencies based on their incident responses using roadway clearance times for crashes. This analysis is not intended to grade agencies but to assist in identifying agencies requiring more training or resources for incident management. Previous NCHRP reports discussed usage of different factors including incident severity, roadway characteristics, number of lanes involved and time of incident separately for estimating the performance. However, it does not tell us how to incorporate all the factors at the same time. Thus, this study aims to account for multiple factors to ensure fair comparisons. This study used 149,174 crashes from Iowa that occurred from 2018 to 2021. A Tobit regression model was used to find the effect of different variables on roadway clearance time. Variables that cannot be controlled directly by agencies such as crash severity, roadway type, weather conditions, lighting conditions, etc., were included in the analysis as it helps to reduce bias in the ranking procedure. Then clearance time of each crash is normalized into a base condition using the regression coefficients. The normalization makes the process more efficient as the effect of uncontrollable factors has already been mitigated. Finally, the agencies were ranked by their average normalized roadway clearance time. This ranking process allows agencies to track their performance of previous crashes, can be used in identifying low performing agencies that could use additional resources and training, and can be used to identify high performing agencies to recognize for their efforts and performance.

Time Management of the Clinical Nurses at Public Hospital in Bangladesh

Nursing is a very intense and focused career, so picking the right time and its proper management can help to relieve personal stress, manage tasks properly and achieve patients and organizational outcome. Objective: This study aimed to explore perceived time management skill of the clinical nurses. Methods: This was a descriptive correlational study design using simple random sampling. A total of 77 clinical nurses working in Mugda Medical College Hospital, Dhaka, Bangladesh were selected as study participants. The data were collected through structure questionnaire which consisted of demographic questionnaire and five dimensions of Time Management Skill Questionnaire (TMSQ). Results: The overall mean score of time management skill was 2.63 (SD = 0.28) reflecting a medium level of nurses perceived time management skill. The results also revealed that nurses age (r = 0.39, p = 0.000), monthly income (r = 0.294, p = 0.017) and service experience (r = 0.248, p = 0.030) were statistically significant correlated with nurses’ perceived time management skill. Conclusion: The outcome of this research would add to develop a strategy for nurse administrators to take an initiative for how nurses could improve the time management and utilize their limited time effectively. It specifies that proper time management can influence to provide quality care and achieving organizational goal.

Forestry under Climate Change. Is Time a Tool for Sustainable Forest Management?

Changing climate conditions are known to influence forest tree growth response and the CO2 cycle. Dendroclimatological research has shown that the climate signal, species composition, and growth trends have changed in different types of forest ecosystems during the last century. Under current and demonstrated changes in climate variability at the geographic, regional, and local levels tree growth shows also variability and trends that can be non-stationary during time even at relatively short distance between sites. In forest planning and management, yield tables, site quality indices, age class, rate of growth, and spatial distribution are some of the most used tools and parameters. However, these methods do not involve climate variability during time although climate is the main driver in trends of forest and tree growth. Previous research warns about the risk that forest management under changing climatic conditions could amplify their negative effects. For example, changing climate conditions may impact on temperature and/or precipitation thresholds critical to forest tree growth. Forest biomass, resilience, and CO2 storage may be damaged unless forest planning and management implement the relationships between climate variability and trends of tree growth. A positive aspect is that, periods of favorable climate conditions may allow harvesting higher amount of wood mass and storing more CO2 than traditional planning methods. And, the average length of both favorable and adverse periods appears to occur within the validity period of a forest management plan. Here, we show a conceptual development to implement climate variability in forest management in the view of continuing the research.

Internet of Things Enabled Energy Aware Metaheuristic Clustering for Real Time Disaster Management

Wireless Sensor Networks(WSNs)are a major element of Internet of Things(IoT)networks which offer seamless sensing and wireless connectivity.Disaster management in smart cities can be considered as a safety critical application.Therefore,it becomes essential in ensuring network accessibility by improving the lifetime of IoT assisted WSN.Clustering and multihop routing are considered beneficial solutions to accomplish energy efficiency in IoT networks.This article designs an IoT enabled energy aware metaheuristic clustering with routing protocol for real time disaster management(EAMCR-RTDM).The proposed EAMCR-RTDM technique mainly intends to manage the energy utilization of nodes with the consideration of the features of the disaster region.To achieve this,EAMCR-RTDM technique primarily designs a yellow saddle goatfish based clustering(YSGF-C)technique to elect cluster heads(CHs)and organize clusters.In addition,enhanced cockroach swarm optimization(ECSO)based multihop routing(ECSO-MHR)approach was derived for optimal route selection.The YSGF-C and ECSO-MHR techniques compute fitness functions using different input variables for achieving improved energy efficiency and network lifetime.The design of YSGF-C and ECSO-MHR techniques for disaster management in IoT networks shows the novelty of the work.For examining the improved outcomes of the EAMCR-RTDM system,a wide range of simulations were performed and the extensive results are assessed in terms of different measures.The comparative outcomes highlighted the enhanced outcomes of the EAMCRRTDM algorithm over the existing approaches.

Developing time-management skills in the foreign language classroom

The practical problems all students may face at some point in their college life are procrastination and time management. A recent survey shows that most of the first-year college students with language learning disabilities lack time-management skills. In order to help the students solve these problems, a language teacher should not only help students to develop their language skills, but also help them to learn some techniques of time-management. To ensure that, teachers need to help the students with the setting of clear goals and ways of planning and scheduling time for a balanced lifestyle.

The Research on Left-Behind Adolescents’Time Management Disposition

Objective:To explore the time management tendency of left-behind adolescents,compare the differences of time management of left-behind.Methods:The questionnaire studies the adolescents students of major labor.Results:Left-behind adolescents are tend to form bad time management tendency(t<2.55,p<0.01)and among these left-behind adolescents there are great individual differences(F>4.24,p>0.05);16-year-old time is a critical period of forming social value of time management(F>4.24,p>0.05),the grade(F_((2,331))=3.74,p=0.03),and whether the only child(t=2.26,p=0.03)has priority to the impact of time management;the children’s age when their parents left.The left period of their parents,the parents who go out,and the visit interval all these factors affect the adolescents’time management tendency(R^(2)>0.21,p<0.001).

Correlation between time management disposition and ability confidence of chinese nursing students： a meta-analysis

Objective： To evaluate the correlation between time management disposition and ability confidence of Nursing Students in China through the Pearson correlation coefficient. Methods： Electronic databases including the Cochrane library, PubMed, EMBASE, the Web of Science, CBM, Wanfang, VIP and CNKI were searched from inception to October 2017 to collect literature on the correlation between time manage-ment disposition and ability confidence of Chinese nursing students. The studies were examined according to the inclusion and exclusion criteria. After extracting data and evaluating the quality of the included studies. Meta-analysis was carried out using Stata 12.0 software. Results： A total of 7 articles with 1632 nursing students were included, and the quality of the literature was at medium level. Meta-analysis shown the total score of time management disposition of Chinese nursing students and its three dimensions were related to ability confidence. The summary correlation coefficient between time management disposition and ability confidence was 0.52 （0.43 to 0.59） ; There is a weak correlation between time value and ability confidence （r, 0.33; 95% CI, 0.25 to 0.39）; There was a moderate level of correlation between time control and ability confidence （r, 0.49; 95% CI, 0.43 to 0.54）; There was a moderate level of correlation between time efficacy and ability confidence （0.47, 0.41, 0.53）.And the relevance of nursing time management disposition and behavioral confidence varies with the nursing student＇s area, nursing student＇s diploma, measurement tools and sample size. Conclusion： The time man- agement disposition of Chinese nursing students is moderately related to ability confidence. When there are different in nursing students in the area, nursing diploma, measurement tools and sample size, the relevance is very different. The time management disposition of Chinese nursing students and their ability confidence are mutually reinforcing, and the time management disposition and their ability confidence should be further strengthened in the future.

A Study on Time Management of College English Class

Teaching is a complicated system, involving the knowledge, ability, skills, quahty and other aspects, eacla ot wmcn presents a multidimensional structure. During the limited teaching time, it can＇t guarantee to finish and cover so many teaching contents and tasks without careful time management. Even if there is enough time, it can＇t result in high teaching efficiency naturally. The phenomenon of time-consuming but inefficiency often appears. How to optimize time management to improve teaching efficiency is worthy of our constant research. Take college English class as an example, this paper attempts to construct a general and high-efficiency time management mode of college English class based on some second language acquisition theories, combined with some teaching practice, improve the effect of the current college English teaching, and as a reference for other subjects.

Design of a Prognostics and Health Management System for Electromechanical Equipment Through Time Stress Analysis

Time stress includes all kinds of environment and operating stress such as shock, vibration, temperature and electric current that the electromechanical system suffers in the manufacture, transport and operating process. In this paper, the conception of time stress and prognostics and health management （ PHM） system are introduced. Then, in order to improve the false alarm recognition and fault prediction capabilities of the electromechanical equipment, a novel PHM architecture for electromechanical equipment is put forward based on a built-in test （BIT） system design technology and time stress analysis method. Finally, the structure, the design and implementing method and the functions of each module of this PHM system are described in detail.

Real Time MR Thermometry Using Tm-DOTMA

We present results of real-time and sensitive MR Thermometry (MRT) using a paramagnetic lanthanide complex thulium 1,4,7,10-tetraazacyclododecane-1,4,7,10-tetramethyl-1,4,7,10-tetraa-cetate (Tm-DOTMA) to study radio frequency (RF) heating induced by a copper wire and a titanium bone screw in an agarose gel phantom. The temperature dependent chemical shift coefficient (TDCSC) of the methyl resonance was found to be 0.7 ± 0.03 ppm/°;C in agarose gel. The methyl protons of Tm-DOTMA were imaged using 2D chemical shift imaging (CSI) and 3D phase mapping methods (PMM), approximately 7 sec long, and compared with conventional water proton resonance frequency (PRF) method. Two RF-induced heating approaches were tested: 1) using a prescan before the MRT;or 2) using the heating caused by the imaging pulse during continuous imaging. Both approaches allowed detection of temperature changes which are less than 1°;C and continuously mapping temperature changes around the copper wire. Using a heating pre-scan, the Tm-DOTMA 2D-CSI allowed better qualitative visualization of the temperature changes around the titanium screw compared with water phase shift thermometry. Numerical electromagnetic field simulations were also conducted for the evaluation of orientation dependency using the copper wire in 4.7 T (200 MHz). Thermometry approach using Tm-DOTMA can detect smaller temperature changes with decreased scanning time resulting in real-time and sensitive temperature mapping.

REAL-TIME LICENSING MANAGEMENT OF SECURE MULTIMEDIA CONTENT DELIVE RY

Media Commerce is now becoming a new trend which results fr om faster development of network bandwidth and high availability of multimedia t echnologies, how to protect media content from being used in a right-violated w ay is one of most important issues to take into account. In this paper, a novel and efficient authorization and authentication Digital Rights Management (DRM) s chema is proposed firstly for secure multimedia delivery, then based on the sche ma, a real-time digital signature algorithm built on Elliptic Curve Cryptograph y (ECC) is adopted for fast authentication and verification of licensing managem ent, thus secure multimedia delivery via TCP/RTP can efficiently work with real -time transaction response and high Quality of Service (QoS) . Performance eval uations manifest the proposed schema is secure, available for real-time media s tream authentication and authorization without much effected of QoS. The propose d schema is not only available for Client/Server media service but can be easily extended to P2P and broadcasting network for trusted rights management.

Congestion Management Strategies of Real-Time Market

The high penetration of distributed energy resources (DERs) will significantly challenge the power system operation and control due to their stochastic, intermittent, and fluctuation characteristics. This enhances the difficulty of congestion management of power systems in cross-border electricity market among different regions. For handling this, the Real-Time Market is proposed for balancing capacity trading against congestions. Several strategies for Real-Time Market dealing with congestions are proposed. The strategy of two-stage crossborder markets in Day-ahead, Intra-day and Real Time Market are introduced with the congestion constraints complied. Pre-Contingency strategy is proposed as the advance preparation for the future congestion, and In-Day redispatch is used for regulation. Accordingly, the requirements on facilities considering telemetry and remote control in a fast manner are discussed at last.

深度学习赋能波束管理:现状、挑战与机遇

随着载波频率的不断提高和大规模天线阵列的广泛部署,基于模拟移相器的波束赋形成为下一代无线通信的标志性技术之一。此时,波束管理被用于获取和维护基站和用户端具有最大接收功率的最优波束对,以保障可靠的无线通信服务。传统波束管理方法往往依赖于海量搜索。同时,传统数学模型无法全面的、准确刻画非线性的波束的内在关联和高维无线环境特征,因而难以取得令人满意的波束增益性能。近年来,得益于深度学习强大的自适应拟合能力,深度学习赋能波束管理得到了国内外广泛关注。本文总结了深度学习赋能波束管理的研究进展,并展望了未来的研究方向。首先,阐述了深度学习应用于波束管理的典型场景和潜在优势;随后,从空/时/频域切入,讨论当前深度学习赋能波束管理的主要研究路线和代表性工作;最后,面向更大规模的无线网络、更多元的波束管理功能和更鲁棒的深度学习模型,阐述未来的研究挑战与机遇。

PhishGuard: Integrating Fine-Tuned Large Language Models (LLMs) into Password Management

In the digital age, phishing attacks have been a persistent security threat leveraged by traditional password management systems that are not able to verify the authenticity of websites. This paper presents an approach to embedding sophisticated phishing detection within a password manager’s framework, called PhishGuard. PhishGuard uses a Large Language Model (LLM), specifically a fine-tuned BERT algorithm that works in real time, where URLs fed by the user in the credentials are analyzed and authenticated. This approach enhances user security with its provision of real-time protection from phishing attempts. Through rigorous testing, this paper illustrates how PhishGuard has scored well in tests that measure accuracy, precision, recall, and false positive rates.

基于MODIS与TM时序插补的省域尺度玉米遥感估产

针对省域尺度作物估产中的TM影像时相不一致和覆盖能力不足的问题,以山东省2008年玉米产量为研究对象,在6景不同玉米物候期的TM影像和长时间序列的MODIS全覆盖影像的支持下,构建基于玉米生长过程的时序插补模型,将不同物候期的TM影像插补为玉米乳熟期的同期数据集,并通过地面实割实测样本数据,建立地面-TM、TM-MODIS的两阶段遥感估产模型,开展省域尺度玉米产量全覆盖遥感估测方法研究。结果表明,基于时序插补的省域尺度玉米遥感估产方法能充分发挥TM和MODIS影像的各自优势,有效地避免TM影像时相不同所造成的归一化植被指数(NDVI)区域差异,获得较高精度的省域尺度玉米单产估测结果,为开展省级作物遥感估产提供了一种新的技术方法。

V-Loc ^(TM)180可吸收缝合线在腹腔镜子宫肌瘤剔除术中的价值

目的:探讨V-Loc^(TM)180可吸收缝合线在腹腔镜子宫肌瘤剔除术中的应用价值。方法:74例子宫肌瘤患者分为试验组(n=30)和对照组(n=43),试验组术中应用V-LocTM180可吸收线缝合,对照组术中应用2-0号薇乔可吸收缝线缝合;比较2组患者手术平均时间、术中平均出血量、术中血红蛋白(hb)下降数值及盆腔引流时间,比较2组患者术后最高体温、体温恢复时间、下床时间、住院时间及术后中转开腹例数、术后发热例数及肛门排气时间。结果:与对照组比较,试验组术中指标手术平均时间、术中出血量、Hb下降数值、盆腔引流时间明显降低(P <0. 05),术后2组患者最高体温、体温恢复时间、下床时间及术后住院时间比较,差异无统计学意义(P> 0. 05);术后两组患者术后中转开腹及术后发热例数,肛门排气时间比较,差异无统计学意义(P> 0. 05)。结论:V-LocTM180可吸收缝合线适合腹腔镜子宫肌瘤剔除术,效果优于薇乔可吸收缝缝合线。

牛白血病病毒LUX^TM实时荧光聚合酶链式反应检测方法的建立

采用LUXTM新型荧光PCR技术原理,设计并合成1对单标记LUXTM荧光引物,建立了LUXTM荧光PCR和RT-PCR方法,可快速检测牛白血病病毒(BLV)前病毒DNA和病毒RNA。结果显示所建立的LUXTM荧光PCR/RT-PCR体系可特异检测牛白血病病毒核酸,而对蓝舌病、牛病毒性腹泻-粘膜病、水泡性口炎、口蹄疫、牛流行热、牛传染性鼻气管炎等病毒核酸以及牛结核分支杆菌、大肠杆菌、健康动物组织核酸扩增均呈阴性反应。敏感性实验表明LUXTM荧光RT-PCR对RNA前病毒的检测敏感性达0.49 ng/μL,荧光PCR对pTblv-gp51重组质粒的检测敏感性可达0.138拷贝,比OIE规程的巢式PCR方法高104倍以上。采用该方法从血清学阳性临床牛血清中检出BLV阳性样品。

牛流行热病毒LUX^(TM)荧光RT-PCR检测方法的建立

采用LUXTM荧光PCR技术原理,以牛流行热病毒(BEFV)糖蛋白抗原G基因保守序列为模板设计特异荧光PCR扩增引物,建立BEFV LUXTM实时荧光RT-PCR快速检测方法。试验结果显示,所建立的荧光RT-PCR可特异检测牛流行热病毒RNA,而对蓝舌病病毒、牛病毒性腹泻-粘膜病病毒、水泡性口炎病毒、口蹄疫病毒、牛白血病病毒以及与BEFV同种属的狂犬病病毒核酸检测呈阴性反应。敏感性试验表明LUXTM荧光RT-PCR对BEFV RNA的检测敏感性比常规RT-PCR方法提高达100倍以上。该LUXTM荧光RT-PCR的批内检测变异系数0.64%-1.17%,批间检测变异系数均小于2%,表明检测体系稳定、重复性好。通过人工添加灭活病毒液的方法制备30份模拟感染牛血清样品,采用上述所建立的BEFV LUXTM荧光RT-PCR方法检测均呈阳性。