Correlation of the Concepts of Proactiveness and Due Diligence to Achieve Sustainability in the Maritime Sector

The present status of our planet,with global warming and unprecedented changes in the climate,has led the shipping industry to incorporate the concept of sustainability.Sustainability in the shipping industry is a holistic management concept for sustainable development,applied to the shipping sector,integrating environmental and social responsibility.The final aim of sustainability in shipping is to establish an emission-free industry while executing more than 95%of global trade.To achieve this,specific methods and procedures are being developed.In this paper,the correlation between the concepts of proactiveness and due diligence will be assessed to explore and evaluate if or should there be a strong link between those concepts to achieve sustainability.During the paper’s analysis,it is evident that there is a continuous and impactful correlation between those three concepts.Therefore,the methods and systems provided can effectively lead the shipping sector into a sustainable and emission-free future.

Early proactive monitoring of DNA-thioguanine in patients with Crohn’s disease predicts thiopurine-induced late leucopenia in NUDT15/TPMT normal metabolizers

BACKGROUND Thiopurine-induced leucopenia significantly hinders the wide application of thiopurines.Dose optimization guided by nudix hydrolase 15(NUDT15)has significantly reduced the early leucopenia rate,but there are no definitive biomarkers for late risk leucopenia prediction.AIM To determine the predictive value of early monitoring of DNA-thioguanine(DNATG)or 6-thioguanine nucleotides(6TGN)for late leucopenia under a NUDT15-guided thiopurine dosing strategy in patients with Crohn’s disease(CD).METHODS Blood samples were collected within two months after thiopurine initiation for detection of metabolite concentrations.Late leucopenia was defined as a leukocyte count<3.5×10^(9)/L over two months.RESULTS Of 148 patients studied,late leucopenia was observed in 15.6%(17/109)of NUDT15/thiopurine methyltransferase(TPMT)normal and 64.1%(25/39)of intermediate metabolizers.In patients suffering late leucopenia,early DNATG levels were significantly higher than in those who did not develop late leucopenia(P=4.9×10^(-13)).The DNATG threshold of 319.43 fmol/μg DNA could predict late leucopenia in the entire sample with an area under the curve(AUC)of 0.855(sensitivity 83%,specificity 81%),and in NUDT15/TPMT normal metabolizers,the predictive performance of a threshold of 315.72 fmol/μg DNA was much more remarkable with an AUC of 0.902(sensitivity 88%,specificity 85%).6TGN had a relatively poor correlation with late leucopenia whether in the entire sample(P=0.021)or NUDT15/TPMT normal or intermediate metabolizers(P=0.018,P=0.55,respectively).CONCLUSION Proactive therapeutic drug monitoring of DNATG could be an effective strategy to prevent late leucopenia in both NUDT15/TPMT normal and intermediate metabolizers with CD,especially the former.

China’s Proactive Fiscal Policy

In contrast to the traditional Western approach to macro-fiscal management,China’s proactive fiscal policy is founded on a people-centered development philosophy and,with distinctive Chinese characteristics,is a significant policy innovation of macroeconomic management in the Chinese modernization.Although there are notable distinctions between the Western“Keynesian”and the“nonKeynesian”schools of thought,both of these approaches’core policy goals and methodological roots are the same,composing the traditional Western macro-fiscal approach.This approach faces increasing real dilemmas.China’s proactive fiscal policy,however,places greater emphasis on future potential growth rates in addition to equilibrium between supply and demand,achieving a fiscal policy transformation with a new approach.In this paper we argue that with such a new approach,China should reconsider the nature and reasonable level of the fiscal deficit,the function and risk assessment criteria of government debt,the scope and effects of reductions in taxes and fees,its approach and focus of demand management,and the costs and resulting efficiencies of policies in order to develop a new fiscal policy paradigm that is more in line with its stated goals.

The computerized LASSI-BC Test versus the Standard LASSI-L Paper-and-Pencil Version in Community-Based-Samples

Proactive Semantic Interference (PSI) and failure to recover from PSI (frPSI), are novel constructs assessed by the LASSI-L. These measures are sensitive to cognitive changes in early Mild Cognitive Impairment (MCI) and preclinical AD determined by Aβ load using PET. The goal of this study was to compare a new computerized version of the LASSI-L (LASSI-Brief Computerized) to the standard paper-and-pencil version of the test. In this study, we examined 110 cognitively unimpaired (CU) older adults and 79 with amnestic MCI (aMCI) who were administered the paper-and-pencil form of the LASSI-L. Their performance was compared with 62 CU older adults and 52 aMCI participants examined using the LASSI-BC. After adjustment for covariates (degree of initial learning, sex, education, and language of evaluation) both the standard and computerized versions distinguished between aMCI and CU participants. The performance of CU and aMCI groups using either form was relatively commensurate. Importantly, an optimal combination of Cued B2 recall and Cued B1 intrusions on the LASSI-BC yielded an area under the ROC curve of .927, a sensitivity of 92.3% and specificity of 88.1%, relative to an area under the ROC curve of .815, a sensitivity of 72.5%, and a specificity of 79.1% obtained for the paper-and-pencil LASSI-L. Overall, the LASSI-BC was comparable, and in some ways, superior to the paper-and-pencil LASSI-L. Advantages of the LASSI-BC include a more standardized administration, suitability for remote assessment, and an automated scoring mechanism that can be verified by a built-in audio recording of responses.

Beyond Defense: Proactive Approaches to Disaster Recovery and Threat Intelligence in Modern Enterprises

As cyber threats keep changing and business environments adapt, a comprehensive approach to disaster recovery involves more than just defensive measures. This research delves deep into the strategies required to respond to threats and anticipate and mitigate them proactively. Beginning with understanding the critical need for a layered defense and the intricacies of the attacker’s journey, the research offers insights into specialized defense techniques, emphasizing the importance of timely and strategic responses during incidents. Risk management is brought to the forefront, underscoring businesses’ need to adopt mature risk assessment practices and understand the potential risk impact areas. Additionally, the value of threat intelligence is explored, shedding light on the importance of active engagement within sharing communities and the vigilant observation of adversary motivations. “Beyond Defense: Proactive Approaches to Disaster Recovery and Threat Intelligence in Modern Enterprises” is a comprehensive guide for organizations aiming to fortify their cybersecurity posture, marrying best practices in proactive and reactive measures in the ever-challenging digital realm.

Entrepreneurial Orientation and Innovation Ecosystems in the Industrial Sector, Central Region, Kampala, Uganda: A Review

This review explores entrepreneurial orientation and innovation ecosystems in the industrial sector of the Central Region, Kampala, Uganda, through an analysis of ten scholarly articles. The study contextualizes the research within the regional landscape and establishes a theoretical framework through a focused literature review. Key findings highlight the intersection of entrepreneurial activities and innovation dynamics, emphasizing the region’s unique contributions to the broader field. Discussions on discrepancies and unexplored territories within the articles offer insights into limitations and research gaps. The manuscript concludes by identifying future research avenues, providing a roadmap for ongoing inquiry into the entrepreneurial and innovative dimensions of the Central Region’s industrial sector. This synthesis underscores the importance of cultivating an entrepreneurial mindset and collaborative innovation strategies for sustainable industrial development in the region.

How Do Mind-Body Practices Benefit Employees? A Daily Diary Study of Mind–Body Practices after Work and Employees’ Next-Day Proactive Behavior

Although it is becoming increasingly popular for organizations to offer programs of mind–body practices to their employees to improve their physical and mental health,the effects that after-work sessions of mind–body prac-tices have on employees’work behavior remain unclear.Using the model of proactive motivation and experience sampling,this study explored the relationship between employees’mind–body practices after work and their proactive behavior in the workplace on the following day.A multilevel path analysis of data from 82 employees over seven consecutive workdays showed that employees’mind–body practices after work had a positive effect on their proactive behavior in the workplace on the following day.The relationship was mediated by next-day high-activated positive affect and problem-solving confidence.Furthermore,job control positively moderated the rela-tionship between high-activated positive affect and proactive behavior but not that between problem-solving con-fidence and proactive behavior.We discuss the theoretical and practical implications of thesefindings,and propose future research directions.

A novel proactive soft load balancing framework for ultra dense network

A major challenge for the future wireless network is to design the self-organizing architecture.The reactive self-organizing model of traditional networks needs to be transformed into an active self-organizing network.Due to the user mobility and the coverage of small cells,the network load often becomes unbalanced,resulting in poor network performance.Mobility management has become an important issue to ensure seamless communication when users move between cells,and proactive mobility management is one of the important functions of the active Self-Organizing Network(SON).This paper proposes a proactive mobility management framework for active SON,which transforms the original reactive load balancing into a forward-aware and proactive load balancing.The proposed framework firstly uses the BART model to predict the users’temporal and spatial mobility based on a weekly cycle and then formulate the MLB optimization problem based on the soft load.Two solutions are proposed to solve the above MLB problem.The simulation results show that the proposed method can better optimize the network performance and realize intelligent mobile management for the future network.

Failure Prediction for Scientific Workflows Using Nature-Inspired Machine Learning Approach

Scientific workflows have gained the emerging attention in sophisti-cated large-scale scientific problem-solving environments.The pay-per-use model of cloud,its scalability and dynamic deployment enables it suited for executing scientific workflow applications.Since the cloud is not a utopian environment,failures are inevitable that may result in experiencingfluctuations in the delivered performance.Though a single task failure occurs in workflow based applications,due to its task dependency nature,the reliability of the overall system will be affected drastically.Hence rather than reactive fault-tolerant approaches,proactive measures are vital in scientific workflows.This work puts forth an attempt to con-centrate on the exploration issue of structuring a nature inspired metaheuristics-Intelligent Water Drops Algorithm(IWDA)combined with an efficient machine learning approach-Support Vector Regression(SVR)for task failure prognostica-tion which facilitates proactive fault-tolerance in the scheduling of scientific workflow applications.The failure prediction models in this study have been implemented through SVR-based machine learning approaches and the precision accuracy of prediction is optimized by IWDA and several performance metrics were evaluated on various benchmark workflows.The experimental results prove that the proposed proactive fault-tolerant approach performs better compared with the other existing techniques.

A Novel Computerized Cognitive Test for the Detection of Mild Cognitive Impairment and Its Association with Neurodegeneration in Alzheimer’s Disease Prone Brain Regions

During the prodromal stage of Alzheimer’s disease (AD), neurodegenerative changes can be identified by measuring volumetric loss in AD-prone brain regions on MRI. Cognitive assessments that are sensitive enough to measure the early brain-behavior manifestations of AD and that correlate with biomarkers of neurodegeneration are needed to identify and monitor individuals at risk for dementia. Weak sensitivity to early cognitive change has been a major limitation of traditional cognitive assessments. In this study, we focused on expanding our previous work by determining whether a digitized cognitive stress test, the Loewenstein-Acevedo Scales for Semantic Interference and Learning, Brief Computerized Version (LASSI-BC) could differentiate between Cognitively Unimpaired (CU) and amnestic Mild Cognitive Impairment (aMCI) groups. A second focus was to correlate LASSI-BC performance to volumetric reductions in AD-prone brain regions. Data was gathered from 111 older adults who were comprehensively evaluated and administered the LASSI-BC. Eighty-seven of these participants (51 CU;36 aMCI) underwent MR imaging. The volumes of 12 AD-prone brain regions were related to LASSI-BC and other memory tests correcting for False Discovery Rate (FDR). Results indicated that, even after adjusting for initial learning ability, the failure to recover from proactive semantic interference (frPSI) on the LASSI-BC differentiated between CU and aMCI groups. An optimal combination of frPSI and initial learning strength on the LASSI-BC yielded an area under the ROC curve of 0.876 (76.1% sensitivity, 82.7% specificity). Further, frPSI on the LASSI-BC was associated with volumetric reductions in the hippocampus, amygdala, inferior temporal lobes, precuneus, and posterior cingulate.

基于ProActive的网格应用程序开发方法

介绍了基于Java的并行分布中间件工具ProActive,结合网格任务调度器,讨论和给出了用ProActive开发网格和网络应用的方法和过程。实践表明使用ProActive可以方便的开发网格网络应用程序。

Windows下基于ProActive并行计算的关键技术

针对现有并行计算技术的不足,提出了基于ProActive的Windows平台下的并行计算方法,对Windows平台下并行计算的结构、节点的动态部署、并行程序设计方法、并行任务调度等关键技术进行了研究,并初步实现了一个系统原型。实验证明该方案是可行的和有效的。

海量空间信息隐形搜索的研究

提出了利用网格技术实现分布式海量空间信息搜索的方法,基于网格开发工具ProActive开发了海量空间信息网格调度服务。利用鼠标屏幕取词、中文地名识别和基于网格的海量空间信息搜索技术,设计并实现了一个海量空间信息隐形搜索引擎,实现了即时、隐性、动态获取中国300个城市的空间信息。为海量空间信息服务提供了一种全新的技术。

ProSPer:一个支持proactive特性的通用型事件监控系统

大规模网络安全监控应用中需要对网络安全态势进行动态评估,在网络出现重大安全风险前进行proac-tive特性的有效防范.把网络安全监控系统建模为事件监控系统,对满足复合时序和属性值逻辑关系的多个事件进行关联,把多个原子事件复合为语义更丰富、更抽象的复合安全事件.已有研究提出了不同的复合事件检测模型,但缺乏proactive的事件监控能力.基于时序关系并不能提高事件监控的预测能力的假设,设计了基于top-k复合事件检测模型的事件监控系统ProSPer,为网络安全监控等应用系统提供proactive特性的事件监控能力.与已有的复合事件检测系统相比,ProSPer检测复合事件时无需读取全部成分事件,这种proactive特性是非常有意义的设计.

基于ProActive的并行计算任务调度器的研究

ProActive在开发并行计算及网格应用中很受欢迎,但目前还没有可用于基于ProActive的并行计算的任务调度器,在对相关技术进行研究后,给出了一个简单有效的任务调度器的实现方案,介绍了其技术细节。将其应用于开发的基于ProActive的并行计算支持平台中进行了实验,实验结果表明该调度器是可行和有效的。

分布式系统环境下一种读写同步控制模型的实现

读写同步控制是分布式系统中的一个重要问题。给出了分布式系统环境下的一种读写同步控制模型,将多个读操作和写操作分布在不同主机上,基于ProActive提供的同步机制、XML部署描述器和SSH配置及图形监控工具IC2D仿真实现该模型。实验结果表明尽管多个读操作和写操作分布于多个计算节点上,他们也能协同读写共享数据,且能在不停顿正读或写的情况下为读操作或写操作指派不同的同步策略。

基于分布对象的网格性能监控和预测系统

采用基于Java的ProActive[1]并行分布对象工具和开发环境,设计了基于分布对象的网格性能监控和预测系统,其中的部分已经实现,初步实验表明,该系统能简便地实现系统组件在网格网络环境下自动进行部署和收集性能数据,表明了系统框架的可行性和可用性。

基于ProActive的P-Spider1.0改进

针对带中心节点结构的分布式并行Web Spider的中心节点负担过重、通信负载不均衡、可扩展性差的问题,提出基于Rabin指纹算法的URL去重改进算法和节点对等结构的改进方案,利用ProActive中间件设计开发改进的分布式并行Web Spider。对比实验表明,改进后的Web Spider采集效率更高,通信负载均衡,无节点瓶颈问题,具有良好的可扩展性。

基于ProActive的容错调度器设计与实现

在分布式计算系统中保证并行应用计算的正确性及提高计算系统中动态资源的利用率是一个重要的研究问题。在原有的基于ProActive的并行计算平台上,引入呼吸通信机制、故障节点发现机制和子任务重新调度机制,设计和实现了一个容错调度系统。实验表明该调度器在部分节点出现故障的情况下,能保证并行计算的正确性,并具有较好的性能。

基于ProActive的分布式并行WebSpider设计

单机Web Spider的数据采集速度较慢,采用MPI技术或直接用Java开发分布式Web Spider代价较高。该文利用ProActive中间件提供的主动对象技术、网络并行计算技术、自动部署机制设计实现了P-Spider分布式并行Web Spider。实验结果表明,该P-Spider采集速率是单机多线程Web Spider的2.2倍。