Dopamine in the prefrontal cortex plays multiple roles in the executive function of patients with Parkinson's disease

Parkinson’s disease can affect not only motor functions but also cognitive abilities,leading to cognitive impairment.One common issue in Parkinson’s disease with cognitive dysfunction is the difficulty in executive functioning.Executive functions help us plan,organize,and control our actions based on our goals.The brain area responsible for executive functions is called the prefrontal co rtex.It acts as the command center for the brain,especially when it comes to regulating executive functions.The role of the prefrontal cortex in cognitive processes is influenced by a chemical messenger called dopamine.However,little is known about how dopamine affects the cognitive functions of patients with Parkinson’s disease.In this article,the authors review the latest research on this topic.They start by looking at how the dopaminergic syste m,is alte red in Parkinson’s disease with executive dysfunction.Then,they explore how these changes in dopamine impact the synaptic structure,electrical activity,and connection components of the prefrontal cortex.The authors also summarize the relationship between Parkinson’s disease and dopamine-related cognitive issues.This information may offer valuable insights and directions for further research and improvement in the clinical treatment of cognitive impairment in Parkinson’s disease.

Bibliographical Review on Rehabilitation of Executive Functions in Patients With Developmental Coordination Disorder(DCD)

The present study aims to establish a literature review on intervention programs for executive functions(EFs)through the use of fundamental motor skills,from a neuropsychopedagogical perspective in subjects with Developmental Coordination Disorder(DCD).An exploratory study was carried out through an integrative literature review.The research was carried out in the Scientific databases Electronic Library Online(SciELO),Latin American and Caribbean Literature in Health Sciences(LILACS),Virtual Health Library-Psychology Brazil(BVSPSI),Electronic Journals of Psychology(PePSIC),in the periodicals available in the Brazilian Digital Library of Theses and Dissertations(BDTD)and on the website of the Coordination for the Improvement of Higher Education Personnel(CAPES).The covering publications took place from 2018 to 2023,14 articles were selected for analysis.This literature review made it possible to create strategies for stimulating EF and Visuomotor Functions so that educators and other professionals can better deal with students with DCD.It was perceived the need to carry out and develop more empirical research regarding the intervention of EFs and Visuomotor Functions by educators and professionals,with a greater sampling amplitude,to increase the number of studies that enable interventions both in children and in teenagers with DCD.

The Mediating Effect of Digital Transformation on the Link Between Executive Overconfidence and Corporate Green Innovation

Green technological innovation is crucial for the manufacturing industry’s green transformation and sustainable development.This study examines the impact of executive overconfidence on corporate green innovation,focusing on the internal drivers of corporate innovation and using a sample of Shanghai and Shenzhen A-share listed manufacturing companies from 2013 to 2020.We further examine the mediating role of digital transformation and the moderating role of external attention.The findings indicate that executive overconfidence promotes corporate green technological innovation.Overconfident executives enhance green innovation by accelerating digital transformation.Moreover,external attention from analysts and media positively moderates the relationship between executive overconfidence and corporate green innovation.Heterogeneity analysis reveals that the positive impact of executive overconfidence on green innovation is more significant in non-state-owned enterprises,high-tech firms,and enterprises with lower pollution levels.

Perspectives and Experiences of Education Stakeholders: A Quantitative Study on the Adoption of Artificial Intelligence in Executive Training Using Structural Equation Modeling

The recent increase in the use of artificial intelligence has led to fundamental changes in the development of training and teaching methods for executive education. However, the success of artificial intelligence in regional centers for teaching and training professions will depend on the acceptance of this technology by young executive trainees. This article discusses the potential benefits of adopting AI in executive training institutions in Morocco, specifically focusing on CRMEF Casablanca Settat. Based on the Unified Theory of Acceptance and Use of Technology (UTAUT) (Venkatesh et al., 2003), this study proposes a model to identify the factors influencing the acceptance of artificial intelligence in regional centers for teaching professions and training in Morocco. To achieve this, a structural equation modeling approach was used to quantitatively describe the impact of each factor on AI adoption, utilizing data collected from 173 young executive trainees. The results indicate that perceived ease of use, perceived usefulness, trainer influence, and personal innovativeness influence the intention to use artificial intelligence. Our research provides managers of CRMEFs with a set of practical recommendations to enhance the implementation conditions of an artificial intelligence system. It aims to understand which factors should be considered in designing an artificial intelligence system within regional centers for teaching professions and training (CRMEFs).

Cerebral arterial blood flow,attention,and executive and cognitive functions in depressed patients after acute hypertensive cerebral hemorrhage

BACKGROUND Intracerebral hemorrhage mainly occurs in middle-aged and elderly patients with hypertension,and surgery is currently the main treatment for hypertensive cerebral hemorrhage,but the bleeding caused by surgery will cause damage to the patient's nerve cells,resulting in cognitive and motor dysfunction,resulting in a decline in the patient's quality of life.AIM To investigate associations between cerebral arterial blood flow and executive and cognitive functions in depressed patients after acute hypertensive cerebral hemorrhage.METHODS Eighty-nine patients with depression after acute hypertensive cerebral hemorrhage who were admitted to our hospital between January 2019 and July 2021 were selected as the observation group,while 100 patients without depression who had acute hypertensive cerebral hemorrhage were selected as the control group.The attention span of the patients was assessed using the Paddle Pin Test while executive function was assessed using the Wisconsin Card Sorting Test(WCST)and cognitive function was assessed using the Montreal Cognitive Assessment Scale(MoCA).The Hamilton Depression Rating Scale(HAMD-24)was used to evaluate the severity of depression of involved patients.Cerebral arterial blood flow was measured in both groups.RESULTS The MoCA score,net scores I,II,III,IV,and the total net score of the scratch test in the observation group were significantly lower than those in the control group(P<0.05).Concurrently,the total number of responses,number of incorrect responses,number of persistent errors,and number of completed responses of the first classification in the WCST test were significantly higher in the observation group than those in the control group(P<0.05).Blood flow in the basilar artery,left middle cerebral artery,right middle cerebral artery,left anterior cerebral artery,and right anterior cerebral artery was significantly lower in the observation group than in the control group(P<0.05).The basilar artery,left middle cerebral artery,right middle cerebral artery,left anterior cerebral artery,and right anterior cerebral artery were positively correlated with the net and total net scores of each part of the Paddle Pin test and the MoCA score(P<0.05),and negatively correlated with each part of the WCST test(P<0.05).In the observation group,the post-treatment improvement was more prominent in the Paddle Pin test,WCST test,HAMD-24 score,and MoCA score compared with those in the pre-treatment period(P<0.05).Blood flow in the basilar artery,left middle cerebral artery,right middle cerebral artery,left anterior cerebral artery,and right anterior cerebral artery significantly improved in the observation group after treatment(P<0.05).CONCLUSION Impaired attention,and executive and cognitive functions are correlated with cerebral artery blood flow in patients with depression after acute hypertensive cerebral hemorrhage and warrant further study.

Robust Malicious Executable Detection Using Host-Based Machine Learning Classifier

The continuous development of cyberattacks is threatening digital transformation endeavors worldwide and leadsto wide losses for various organizations. These dangers have proven that signature-based approaches are insufficientto prevent emerging and polymorphic attacks. Therefore, this paper is proposing a Robust Malicious ExecutableDetection (RMED) using Host-based Machine Learning Classifier to discover malicious Portable Executable (PE)files in hosts using Windows operating systems through collecting PE headers and applying machine learningmechanisms to detect unknown infected files. The authors have collected a novel reliable dataset containing 116,031benign files and 179,071 malware samples from diverse sources to ensure the efficiency of RMED approach.The most effective PE headers that can highly differentiate between benign and malware files were selected totrain the model on 15 PE features to speed up the classification process and achieve real-time detection formalicious executables. The evaluation results showed that RMED succeeded in shrinking the classification timeto 91 milliseconds for each file while reaching an accuracy of 98.42% with a false positive rate equal to 1.58. Inconclusion, this paper contributes to the field of cybersecurity by presenting a comprehensive framework thatleverages Artificial Intelligence (AI) methods to proactively detect and prevent cyber-attacks.

Execute模型在提高低年资护士制度执行力中的应用

[目的]提高低年资护士制度执行力,提高护理工作质量及住院病人满意度。[方法]分析低年资护士制度执行力低的原因,运用Execute模型结合实际临床护理工作,提出解决方案,提高低年资护士的制度执行力。[结果]低年资护士制度执行力明显改善,护理工作质量及病人满意度提高。[结论]运用Execute模型,结合实际临床护理工作提出的解决方案,可以有效提高低年资护士制度执行力,各项工作指标达标率上升。

The Trade-Off Between Performance and Security of Virtualized Trusted Execution Environment on Android

Nowadays,with the significant growth of the mobile market,security issues on the Android Operation System have also become an urgent matter.Trusted execution environment(TEE)technologies are considered an option for satisfying the inviolable property by taking advantage of hardware security.However,for Android,TEE technologies still contain restrictions and limitations.The first issue is that non-original equipment manufacturer developers have limited access to the functionality of hardware-based TEE.Another issue of hardware-based TEE is the cross-platform problem.Since every mobile device supports different TEE vendors,it becomes an obstacle for developers to migrate their trusted applications to other Android devices.A software-based TEE solution is a potential approach that allows developers to customize,package and deliver the product efficiently.Motivated by that idea,this paper introduces a VTEE model,a software-based TEE solution,on Android devices.This research contributes to the analysis of the feasibility of using a virtualized TEE on Android devices by considering two metrics:computing performance and security.The experiment shows that the VTEE model can host other software-based TEE services and deliver various cryptography TEE functions on theAndroid environment.The security evaluation shows that adding the VTEE model to the existing Android does not addmore security issues to the traditional design.Overall,this paper shows applicable solutions to adjust the balance between computing performance and security.

Cross the chasm from the immediate execution of death penalty to the death sentence with a reprieve --- Interpretation of the ＂not to execute immediately＂

Retaining the death penalty and strict restricting the application of the death penalty is now a basic criminal policy in China, and from the judicial level, the key to the restriction of the death penalty is to study what lenient sentencing discretion the criminal has to constitute ＂not to execute immediately＂ when he has reached the standard of the immediate execution of the death penalty, to cross the chasm from the immediate execution of the death penalty to the death sentence with a reprieve. The basic process of the sentencing is to establish a baseline punishment on the basis of the social harmfulness of the activities of the criminal, and then measure the profits and losses according to the offender＇s personal danger. Therefore, although the social harmfulness of the activities of the criminal reaches the standard of the ＂most heinous crimes＂, due to the existence of the fault of the victim, active compensation for the victim, and the motives of the small blames and other lenient sentencing discretions, the criminal＇s danger has not reached the degree of ＂flagrance＂. Apply the death sentence with a two-year reprieve and even the life imprisonment generally. If there are some strict sentencing discretions, such as ＂the crime means is extremely cruel＂, carefully consider the use of the immediate execution of the death penalty. Under the circumstances of the concurrence of the sentencing, carry on the overall consideration based on the comprehensive measurement of various circumstances of the sentencing.

Clinical study of different modes of repetitive transcranial magnetic stimulation in the treatment of post‑stroke executive dysfunction

Objective:To investigate the clinical efficacy of intermittent theta burst stimulation(iTBS)and high frequency repetitive transcranial magnetic stimulation(rTMS)on post‑stroke executive impairment(PSEI).Methods:Ninety patients with PSEI who were hospitalized in the rehabilitation department of Xuzhou Central Hospital and Xuzhou Rehabilitation Hospital from April 2021 to June 2022 were selected and divided into iTBS group,high‑frequency group and control group.All three groups of patients received routine rehabilitation training,given rTMS treatment with iTBS,10 Hz and shame stimulation for 4 weeks.Before and after treatment,all the patients were evaluated with the Montreal cognitive assessment(MoCA),the frontal assessment battery(FAB),troop color‑word test(SCWT),shape trails test(STT),digit span test(DST)and event related potential P300.Results:After treatment,MoCA,FAB,SCWT,STT,DST scores,P300 latency and amplitude were significantly better in the three groups than before treatment(P<0.05).MoCA,FAB,SCWT,STT‑B,DST scores,P300 latency and amplitude in the iTBS group and high‑frequency group were better than in the control group,with significant differences(P<0.05).The difference between iTBS group and high‑frequency group was not statistically significant(P>0.05).Conclusion:iTBS can improve PSEI,and the efficacy is comparable to 10Hz rTMS.iTBS takes less time with better efficiency,and it is worth popularizing and applying in clinic.

Impact of Portable Executable Header Features on Malware Detection Accuracy

One aspect of cybersecurity,incorporates the study of Portable Executables(PE)files maleficence.Artificial Intelligence(AI)can be employed in such studies,since AI has the ability to discriminate benign from malicious files.In this study,an exclusive set of 29 features was collected from trusted implementations,this set was used as a baseline to analyze the presented work in this research.A Decision Tree(DT)and Neural Network Multi-Layer Perceptron(NN-MLPC)algorithms were utilized during this work.Both algorithms were chosen after testing a few diverse procedures.This work implements a method of subgrouping features to answer questions such as,which feature has a positive impact on accuracy when added?Is it possible to determine a reliable feature set to distinguish a malicious PE file from a benign one?when combining features,would it have any effect on malware detection accuracy in a PE file?Results obtained using the proposed method were improved and carried few observations.Generally,the obtained results had practical and numerical parts,for the practical part,the number of features and which features included are the main factors impacting the calculated accuracy,also,the combination of features is as crucial in these calculations.Numerical results included,finding accuracies with enhanced values,for example,NN_MLPC attained 0.979 and 0.98;for DT an accuracy of 0.9825 and 0.986 was attained.

ESG表现如何赋能企业绿色技术创新?--来自中国上市公司的微观证据

经济新发展阶段下ESG是可持续导向下企业运营的重要理念。在绿色发展导向下,如何将企业环境、社会与公司治理(ESG)等多重责任嵌入到企业创新体系之中,驱动传统创新向绿色创新与绿色发展转型,成为了学界关注的焦点议题。本文以2011年—2019年中国沪深A股上市公司为研究样本,考察了上市公司ESG表现对企业绿色技术创新的影响及其内在作用机制。研究结果表明:(1)企业ESG表现驱动了企业绿色技术创新,对企业绿色技术创新具有显著的促进效应,在考虑内生性问题后研究结论依然稳健;区分ESG表现各类维度,企业环境责任、社会责任与公司治理表现对企业绿色技术创新均产生显著的促进效应。(2)内在机制检验结果表明,ESG表现主要通过强化企业环保投入、缓解企业融资约束以及提高企业内部控制质量以促进企业绿色技术创新。(3)调节机制检验结果表明,外部环境规制(环保补助与排污收费)与内部高管激励(薪酬激励与股权激励)在ESG表现与企业绿色技术创新之间产生显著的正向调节效应,即在ESG表现驱动企业绿色技术创新过程中,外部环境规制与内部高管激励制度具有外部的资源补偿效应、合法性倒逼效应以及内部激励效应。(4)异质性分析结果表明,ESG表现对企业绿色技术创新的驱动效应在国有企业、通过国际ISO14001环境认证企业与制造业企业中更为明显。而且经济效应检验结果表明,ESG表现驱动企业绿色技术创新有助于企业改善经济绩效。本研究为绿色发展导向下强化企业ESG理念,基于可持续导向与企业社会责任融入企业创新体系驱动企业绿色转型发展,最终实现企业与社会环境的共生融合发展提供政策启示。

高管薪酬结构与企业创新——基于高管风险承担视角

创新是企业获得技术优势的重要行为,有助于国家实现高水平科技自立自强,高管是企业做出创新决策的主体。以2008—2021年中国沪深A股上市公司为研究对象,对高管薪酬结构影响企业创新的效应及作用机制进行了实证检验。研究发现,随着高管薪酬结构中股权薪酬比例的提升,企业创新投入水平呈先上升后下降的倒“U”型趋势。进一步地,以激励物的Delta指数和Vega指数为度量的高管风险承担在薪酬结构影响企业创新的路径中发挥了中介作用。异质性分析表明,高管股权薪酬对企业创新的正向激励效果仅显著存在于非国有企业和位于高市场化程度地区的企业当中。因此,企业要制定合理的薪酬结构,适当提高股权薪酬占比,并注重改善激励环境提升高管的风险承担能力,为企业创新创造良好的内外部环境。

数字化转型与企业ESG表现——基于媒体关注度与高管过度自信的双重视角

基于2017—2022年沪深A股制造业上市公司的面板数据,从媒体关注度和高管过度自信两个视角出发,实证研究上市公司数字化转型影响ESG表现的两条路径。相关数据研究表明:第一,数字化转型与企业ESG表现存在显著的线性相关关系;第二,高管过度自信会影响数字化转型对企业ESG表现的促进作用;第三,数字化转型通过媒体关注度影响企业ESG表现。稳健性检验结果表明,在考虑倾向得分匹配法、工具变量法、替换被解释变量等方法后,数字化转型对企业ESG表现的促进作用仍然成立。异质性分析结果表明,国有企业和大规模企业能更好地利用数字化转型,积极履行社会责任,帮助企业提升ESG表现,为企业实现高质量发展提供了指引。

融合执行力与适应性:基层治理的制度优势分析

基层是国家制度传导的神经末梢,其治理效能的有效发挥是制度优势最直接的体现。新时代十年来,我国各领域基础性制度框架基本建立,但发展不平衡不充分问题仍然突出,信息公开、垃圾分类等基层治理中的制度优势彰显不足。制度优势向治理效能转化是国家治理的应然逻辑,转化过程中的动态机制、信任关系都会影响到制度执行的效果。单纯以制度执行力评判制度优势和治理效能略显偏颇,制度之所以具备优势,在于其能体现公平正义、呼应人之需求。而不同人的利益追求、目标取向、认知结构均不相同,这导致基层治理中制度出现适应性问题。经由理论层面的合理补充与实然层面的动态修复,融合执行力与适应性,有望打通制度优势、运行机制、信任支撑、治理效能的闭合回路,从而加快制度优势向基层传导,并反向以基层治理效能倒逼各类制度优化完善。

高管团队稳定性与企业ESG评级

ESG评级是推动企业可持续发展的重要动力,是企业长期生存的内在要求,而高管团队在企业长期发展中起着至关重要的作用。基于2010—2019年中国沪深A股上市公司数据,研究了高管团队稳定性对企业ESG评级的影响及其作用机制。研究发现,高管团队稳定性越高,企业ESG评级越高。机制检验显示,高管团队稳定性通过降低企业战略差异度和经营风险提高企业ESG评级。异质性检验结果表明,在内控质量较低、审计质量较低的企业中,高管团队稳定性对企业ESG评级影响效应显著;媒体关注度较低的企业中高管团队稳定性对企业ESG评级的影响更显著。因此,企业要重视高管团队稳定性,采取有效措施降低经营风险,注重ESG信息披露,提升ESG评级,以推动企业可持续发展。

大深度大直径三山岛副井支护研究与创新探讨

竖井作为矿山深部采矿的咽喉工程,其建设工期制约着整个矿山建设期,其服役期安全稳定是矿山正常安全生产的保障。本文以三山岛金矿副井工程为背景,研究探讨直径10.5 m、埋深1 915 m的大直径深埋竖井支护理念、支护方案及建设创新。通过深入研究国内外支护理论,突破传统设计理念,采用新型工艺卸压与充分利用围岩作用的设计理念,提出了大埋深竖井分区分序支护方案,探讨了深井建设的创新方向。文章研究成果能够为深地开发利用的瓶颈工程支护设计提供参考应用,为储备2 500 m以浅的深井建设技术及相关深井工程提供重要借鉴。

甘油三酯对高血压患者认知功能的影响:一项社区人群的长期队列研究

目的探讨TG水平对社区高血压患者认知功能的影响。方法本研究为基于社区人群的前瞻性队列研究,研究对象为北京市昌平区北七家社区卫生服务中心辖区内40岁以上常住居民中的高血压患者。2015—2016年完成首次人口学、既往病史、实验室检查、认知功能评价(采用MoCA评估)等信息采集。随访7~8年,于2023年随访认知功能,以△MoCA(基线MoCA评分-随访MoCA评分)评估研究对象的认知功能下降情况。采用多因素线性回归探讨TG水平对认知功能下降的影响。结果研究共纳入338例患者,平均年龄为(59.1±6.8)岁,男性111例(32.8%)。TG水平与认知功能下降(△MoCA)呈正相关(β=0.172,P=0.025),且主要与视空间执行功能下降相关(β=0.152,P=0.045)。结论社区高血压患者TG水平升高与认知功能下降独立相关,且可能主要影响视空间执行功能。

刑罚变更执行共识算法研究

区块链技术为刑罚变更执行数据的真实可信提供支撑,并实现各主体间的互信和高效协同.对权威证明共识算法(proof of authority, PoA)存在的制约因素进行分析并提出一种改进的动态加权权威证明算法(dynamic weighted proof of authority, DWPoA),进行刑罚变更执行提请共识.构建联盟链,基于Tangle结构提出一种链上共识算法,进行刑罚变更执行主体间的链上共识;基于(t,n)门限签名提出一种分布式预言机链下共识算法进行链上、链下共识,并对带宽占用率和共识时长进行仿真实验,分布式预言机链下共识算法更具优势.