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EUCTER: From a Jean Monnet Network to the European Counter-Terrorism and Security Institute EUCTER:从让-莫内网络到欧洲反恐与安全研究所
Pub Date : 2024-07-08 DOI: 10.56367/oag-043-11506
C. Kaunert
Christian Kaunert, Professor of Policing and Security at the University of South Wales, describes the scope of EUCTER, from a Jean Monnet Network to the European Counter-Terrorism and Security Institute. Terrorism remains one of the leading security threats facing the European Union (EU) and its Member States, with a considerable impact on European societies. Therefore, there is a strong need for knowledge and expertise that will enable the EU and its Member States to address the contemporary terrorist threat effectively.
南威尔士大学治安与安全学教授 Christian Kaunert 介绍了欧盟反恐中心的范围,从让-莫内网络到欧洲反恐与安全研究所。恐怖主义仍然是欧洲联盟(欧盟)及其成员国面临的主要安全威胁之一,对欧洲社会产生了相当大的影响。因此,欧盟及其成员国亟需能够有效应对当代恐怖主义威胁的知识和专业技能。
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引用次数: 0
Improving the wellbeing of older adults through community-based music and movement programs 通过社区音乐和运动计划改善老年人的福祉
Pub Date : 2024-07-08 DOI: 10.56367/oag-043-11342
Gilles Comeau
Find out here about a geriatric psychiatry program at the Music and Mental Health Research Clinic that improves the wellbeing of older adults. How do music and movement affect the mental wellbeing of older adults? The Music and Mental Health Research Clinic at the University of Ottawa Institute of Mental Health Research at the Royal will explore this question with a new geriatric psychiatry program that aims to design and carry on community-based music and movement (COMM) interventions with older adults (55+). The program will examine the benefits of these interventions on the psycho-social conditions of older adults with dementia or experiencing mental illness, including, among others, depression and anxiety. The learnings will support the integration of evidence-informed music interventions into older adults’ social and healthcare.
在此了解音乐与心理健康研究诊所的老年精神病学项目,该项目可改善老年人的身心健康。音乐和运动如何影响老年人的心理健康?渥太华大学皇家心理健康研究所的音乐与心理健康研究诊所将通过一项新的老年精神病学计划来探索这个问题,该计划旨在为老年人(55 岁以上)设计和实施基于社区的音乐与运动(COMM)干预措施。该项目将研究这些干预措施对患有痴呆症或精神疾病(包括抑郁和焦虑等)的老年人的社会心理状况的益处。所学知识将有助于将有实证依据的音乐干预纳入老年人的社会和医疗保健中。
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引用次数: 0
A new generation of transformational long implanted life dental implants 新一代变革性长植入寿命牙科植入体
Pub Date : 2024-07-08 DOI: 10.56367/oag-043-10714
Orlando Auciello
Unique low-cost/best biocompatible Ultrananocrystalline Diamond (UNCD™) coating enables a new generation of transformational long implanted life dental implants. This article summarizes the materials science/properties, integration strategies, and design/development of a new generation of dental implants (DIs) based on coating commercial Ti-alloy (Ti-6Al-4V) DIs with a unique transformational/low-cost/best biocompatible (because they are made of carbon atoms/element of life in human DNA/cells/molecules) ultrananocrystalline diamond (UNCD) coating.
独特的低成本/最佳生物相容性超铀晶金刚石(UNCD™)涂层实现了新一代长植入寿命牙科植入体的变革。本文概述了新一代牙科植入体(DIs)的材料科学/特性、集成策略和设计/开发,其基础是在商用钛合金(Ti-6Al-4V)DIs 上涂覆独特的变革性/低成本/最佳生物相容性(因为它们是由碳原子/人类 DNA/细胞/分子中的生命元素组成的)超纳米晶金刚石(UNCD)涂层。
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引用次数: 0
Cigarette smoking focus: A modeling approach for estimating the impact of health programs 关注吸烟问题:估算健康计划影响的建模方法
Pub Date : 2024-07-08 DOI: 10.56367/oag-043-11502
Theodore R. Holford
Theodore R. Holford from Yale University charts a modeling approach for estimating the impact of health programs in this cigarette smoking research focus. Cigarette smoking is one of the most harmful causes of increasing illness risk and shortening life. Its effect was not expected initially, but the recognition of a growing epidemic in lung cancer became apparent in the middle of the twentieth century, stimulating a research effort to find the cause of an alarming trend. This work demonstrated the strong association between smoking and lung cancer. Still, as work continued, it became clear that lung cancer was but the first of a long list of other diseases affecting the lungs, the heart, and other organs.
来自耶鲁大学的西奥多-R-霍尔福德(Theodore R. Holford)在本期吸烟研究重点中介绍了一种估算健康计划影响的建模方法。吸烟是增加疾病风险和缩短寿命的最有害原因之一。最初人们并没有预料到它的影响,但到了二十世纪中叶,人们逐渐认识到肺癌的流行日益严重,从而激发了研究人员努力寻找这一令人担忧的趋势的原因。这项工作证明了吸烟与肺癌之间的密切联系。然而,随着研究的不断深入,人们逐渐认识到,肺癌只是影响肺部、心脏和其他器官的众多疾病中的第一种。
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引用次数: 0
Machine learning for water-energy-food-ecosystems nexus policy 水-能源-粮食-生态系统关系政策的机器学习
Pub Date : 2024-07-08 DOI: 10.56367/oag-043-11546
J. Sušnik
Dr Janez Sušnik, from the IHE Delft Institute for Water Education and NEXOGENESIS Coordinator, guides us through the use of machine learning for improving policy advice in the water-energy-food-ecosystems nexus. Water, energy, and food (WEF) form a coherent interconnected system often referred to as the WEF nexus (Hoff, 2011). The WEF nexus interacts strongly with ecosystems, forming the wider WEFE nexus. Ecosystems provide the ‘base’ of the WEFE nexus, helping ensure the quantity, quality, timing, and accessibility of WEF resources, for example, by providing services including water purification, contributing freshwater provisioning, pollution reduction and control; maintaining healthy landscapes, contributing towards crop growth for food and energy crops; biodiversity providing pollinating insects for crop production and; forest and floodplain ecosystems provide biomass that as act as a global carbon sink and oxygen supply (Bell et al. 2016; Martinez- Hernandez et al. 2017).
来自 IHE 代尔夫特水教育研究所的 Janez Sušnik 博士是 NEXOGENESIS 协调员,他指导我们使用机器学习改进水、能源、食品和生态系统之间关系的政策建议。水、能源和食物(WEF)构成了一个相互关联的系统,通常被称为水-能源-食物-生态系统关系(WEF nexus)(Hoff,2011 年)。水、能源和食物关系与生态系统紧密互动,形成更广泛的水、能源和食物关系。生态系统是 WEFE 关系的 "基础",有助于确保 WEF 资源的数量、质量、时间和可获取性,例如,通过提供包括水净化在内的服务,促进淡水供应、减少和控制污染;保持健康的景观,促进粮食和能源作物的生长;生物多样性为作物生产提供授粉昆虫;森林和洪泛平原生态系统提供生物量,作为全球碳汇和氧气供应(Bell 等,2016 年;Martinez- Hernandez 等,2017 年)。
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引用次数: 0
AI-empowered neural processing for intelligent human-machine interface and biomedical devices 用于智能人机界面和生物医学设备的人工智能神经处理技术
Pub Date : 2024-07-08 DOI: 10.56367/oag-043-11463
Jie Gu
Jie Gu, Associate Professor from Northwestern University, examines AI-empowered neural processing for intelligent human-machine interface and biomedical devices. Most conventional wearable devices rely on motion detection or image classifications to capture users’ activities. However, they lack the ability to decode neural signals generated by the human body. Neural signals, such as EEG, ECG, and EMG, offer a rich amount of information on a person’s physiological and psychological activities. Recognition and use of such signals present many new opportunities for applications in medical and daily commercial usage. Recently, artificial intelligence (AI) has been applied to neural signal processing, leading to a new generation of intelligent human-machine interfaces and biomedical devices.
美国西北大学副教授顾杰研究了用于智能人机界面和生物医学设备的人工智能神经处理技术。大多数传统的可穿戴设备依靠运动检测或图像分类来捕捉用户的活动。然而,它们缺乏解码人体产生的神经信号的能力。脑电图、心电图和肌电图等神经信号提供了大量有关人的生理和心理活动的信息。这些信号的识别和使用为医疗和日常商业应用带来了许多新机遇。最近,人工智能(AI)被应用于神经信号处理,从而产生了新一代智能人机界面和生物医学设备。
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引用次数: 0
The "Silent Killers" of business success 企业成功的 "无声杀手
Pub Date : 2024-07-08 DOI: 10.56367/oag-043-11326
Michael Beer
Dr. Michael (Mike) Beer, Professor Emeritus at Harvard Business School, explains the “silent killers” of business success that top management are unaware of. For the past forty years, I and my colleagues at TruePoint, a management consulting firm I co-founded, have worked with courageous leaders willing to enable truth to speak to power - them and their top team - about barriers to their organization’s effectiveness and performance. Hundreds of organizations across the globe, in many different industries, in for-profit and not-for-profit organizations, have reported the same syndrome of seven highly interdependent barriers. We have called these barriers the “silent killers” of learning and change because, like hypertension and cholesterol in the human body, they are hidden barriers to organizational health and effectiveness.
哈佛商学院名誉教授迈克尔-比尔(Michael Beer)博士解释了高层管理者没有意识到的企业成功的 "无声杀手"。在过去的四十年里,我和我共同创立的管理咨询公司 TruePoint 的同事们,一直在与那些愿意用事实说话的勇敢的领导者们合作,他们和他们的高层团队,都愿意就影响组织效率和绩效的障碍向权力发声。全球有数百家不同行业的营利性和非营利性组织报告了同样的综合症,即七个高度相互依存的障碍。我们把这些障碍称为学习和变革的 "无声杀手",因为它们就像人体中的高血压和胆固醇一样,是影响组织健康和效率的隐性障碍。
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引用次数: 0
Advancing the soil deal for Europe through cyberinfrastructure and citizen science 通过网络基础设施和公民科学推进欧洲土壤交易
Pub Date : 2024-07-08 DOI: 10.56367/oag-043-11504-01
Oleg Osychenko, Raul Bardají, Josep Queral, Rubén Díez, Tanja Mimmo, Ivan Rodero
This article explores advancements in soil health across Europe, highlighting innovative cyberinfrastructure for soil citizen science. This initiative, led by the Quanta team, allows citizens to actively participate in environmental stewardship. Unhealthy soil poses a serious threat to our environment, diminishing its ability to act as a carbon sink, lowering agricultural productivity, and contributing to biodiversity loss. Prioritizing improved soil management practices is imperative for a sustainable future.
这篇文章探讨了欧洲在土壤健康方面取得的进展,重点介绍了用于土壤公民科学的创新型网络基础设施。这项由 Quanta 团队领导的计划让公民能够积极参与环境管理。不健康的土壤对我们的环境构成严重威胁,它削弱了土壤作为碳汇的能力,降低了农业生产力,并导致生物多样性丧失。为了实现可持续发展的未来,必须优先改善土壤管理方法。
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引用次数: 0
Arc: A new target for treating alzheimer's disease 弧:治疗阿尔茨海默病的新靶点
Pub Date : 2024-07-08 DOI: 10.56367/oag-043-11454
Antonius M. VanDongen
Antonius M. VanDongen, Associate Professor from Duke University, walks us through Arc, a new target for treating Alzheimer’s disease. Alois Alzheimer is a German psychiatrist credited with identifying the first case of the debilitating disease named after him. In 1906, he described neurofibrillary tangles and amyloid plaques in his patient’s brain as unique hallmarks of her dementia. Advances in neuroimaging, genetics, and molecular biology have expanded our understanding of the mechanisms underlying Alzheimer’s disease (AD) significantly. But despite heroic efforts to find a cure, there is currently no therapy that prevents, stabilizes or reverses the progression of this disorder that is poised to take on epidemic proportions as the world ages.
杜克大学副教授 Antonius M. VanDongen 向我们介绍治疗阿尔茨海默病的新靶点 Arc。阿洛伊斯-阿尔茨海默(Alois Alzheimer)是德国精神病学家,他发现了第一例以自己名字命名的令人衰弱的疾病。1906 年,他将患者大脑中的神经纤维缠结和淀粉样斑块描述为其痴呆症的独特特征。神经影像学、遗传学和分子生物学的进步极大地扩展了我们对阿尔茨海默病(AD)发病机制的认识。然而,尽管我们为寻找治疗方法付出了巨大努力,但目前还没有任何疗法能够预防、稳定或逆转这种随着全球老龄化而将呈流行趋势的疾病的发展。
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引用次数: 0
Developing a robust soil health indicator selection framework 制定稳健的土壤健康指标选择框架
Pub Date : 2024-07-08 DOI: 10.56367/oag-043-11173
Grant Campbell, David A. Robinson, Pete Smith, Lis Wollesen de Jonge, T. Nørgaard
The EU Soil Health Monitoring Law proposes twelve main soil indicators for reporting soil health. There is a need to ensure that these indicators and other subsequent measures are robust for their purpose. Since there is no single indicator for soil health, a robust framework for selecting indicators using agreed-upon criteria is needed(1,2). A summary of the selection framework criteria is discussed below and summarized in Figure 1. This framework is based on synthesizing accepted and tested methods to assess current indicators and provide a basis for selecting new ones in the future. Selected indicators will be dependent on their ability to assess soil ecosystem functions and services(3).
欧盟《土壤健康监测法》为报告土壤健康状况提出了十二项主要土壤指标。有必要确保这些指标和其他后续措施能够达到预期目的。由于没有单一的土壤健康指标,因此需要建立一个稳健的框架,利用商定的标准来选择指标(1,2)。下文将讨论选择框架标准的概要,并在图 1 中进行总结。该框架以综合公认的、经过测试的方法为基础,用于评估现有指标,并为将来选择新指标提供依据。所选指标将取决于其评估土壤生态系统功能和服务的能力(3)。
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引用次数: 0
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