CURRENT ISSUES AFFECTING TRADE AND TRADE POLICY: AN ANNOTATED LITERATURE REVIEW

This review provides a base of literature describing current issues and research on the impacts of lobalization and the industrialization of agriculture and recent approaches to analyze and model agricultural trade and trade policies. Three key factors of the survey are differentiated goods, global economic integration and international supply chain linkages. The review covers 182 publications, which are presented alphabetically by author with a brief annotation describing how it relates to the above criteria. The articles are also indexed by keyword. A brief summary highlights the documented literature and includes a series of issues for future discussion and research.International Relations/Trade,

Developing A Framework For Civilian-Military Public Health Operations Involving Non-State Armed Groups

Introduction: The interface of military forces, civilian actors and non-state armed groups (NSAGs) during a public health emergency within an active conflict is a situation fraught with legal and ethical challenges not adequately addressed in established doctrine or international guidance documents. Ongoing public health crises in Yemen and Afghanistan represent the real-world consequences of threats to population health and security if these critical gaps are not addressed. Methods: A list of five diverse medical scenarios was developed as an initial attempt to produce a practical, historically-informed framework for use in future civilian-military (CIV-MIL) training events and guidance. Ten virtual interviews with experts from the humanitarian, US government and academic communities were conducted and qualitatively analyzed in order to identify overarching issues surrounding NSAGs and to solicit feedback on the proposed scenario framework. Results: Analysis of the interviews resulted in three broad areas of interest and concern surrounding NSAGs: 1. definitional challenges; 2. the value of historical precedence; 3. ethics and international humanitarian law. Patterns that were identified from discussion of the scenario framework include: 1. gaps in public health specific CIV-MIL training; 2. relationship building and trust; 3. critical feedback and assessment for each of the five specific scenarios. Discussion: The guidance documents within the CIV-MIL community surrounding NSAGs and public health emergencies should be revised with a focus on integration of the two concepts. Updates are required in order to ensure existing institutional knowledge and critical planning factors are captured and considered. The scenario framework was well-received and should be propagated among additional stakeholders in the humanitarian ecosystem for further examination and analysis, as well as included in future CIV-MIL humanitarian workshops and training events

Telecommunications Mega-Mergers: Impact On Employee Morale And Turnover Intention

The number of mergers and acquisitions grew at record rates in the United States over the past 10 years, and mega telecommunications mergers have been no exception. Three very high-profile telecommunications mergers included MCI and Verizon, Sprint and Nextel, and BellSouth and AT&T. These megamergers have changed the competitive landscape dramatically in the telecom arena. Despite the popularity of mergers and acquisitions (M&As), evidence has shown that the majority have failed to improve performance and failed to achieve anticipated strategic and financial objectives set forth in the premerger planning phase, according to J. Krug and R. Aguilera’s 2004 article “Top Management Team Turnover in Mergers and Acquisitions” in Advances in Mergers and Acquisitions. The primary reason behind such common performance failures according to S. Cartwright and C. L. Cooper’s 2000 HR Know-How in Mergers and Acquisitions was based on various human resources factors such as culture, management, poor motivation, and loss of talent. Based on the aforementioned post corporate merger performance failure considerations, this research study examined the impact on employee morale and turnover intention related to a recent megamerger between two telecommunications conglomerates

Looking forward to making predictions

As described in the preceding pages, since the BGS was established in 1835, the British population has coped with many challenges. These have ranged from finding resources to fuel the Industrial Revolution, understanding and combating water-borne diseases such as typhoid, the threat of invasion and aerial bombardment, through to modern-day environmental problems and climate change. To help deal with these problems, decisionmakers from governments and other organisations have required our help and advice

On Mourning and Recovery: Integrating Stages of Grief and Change Toward a Neuroscience-Based Model of Attachment Adaptation in Addiction Treatment

Interpersonal attachment and drug addiction share many attributes across their behavioral and neurobiological domains. Understanding the overlapping brain circuitry of attachment formation and addiction illuminates a deeper understanding of the pathogenesis of trauma-related mental illnesses and comorbid substance use disorders, and the extent to which ending an addiction is complicated by being a sort of mourning process. Attention to the process of addiction recovery—as a form of grieving—in which Kubler-Ross's stages of grief and Prochaska's stages of change are ultimately describing complementary viewpoints on a general process of neural network and attachment remodeling, could lead to more effective and integrative psychotherapy and medication strategies

The Penrose Effect and its acceleration by the war on drugs: a crisis of untranslated neuroscience and untreated addiction and mental illness

In 1939, British psychiatrist Lionel Penrose described an inverse relationship between mental health treatment infrastructure and criminal incarcerations. This relationship, later termed the ‘Penrose Effect’, has proven remarkably predictive of modern trends which have manifested as reciprocal components, referred to as ‘deinstitutionalization’ and ‘mass incarceration’. In this review, we consider how a third dynamic—the criminalization of addiction via the ‘War on Drugs’, although unanticipated by Penrose, has likely amplified the Penrose Effect over the last 30 years, with devastating social, economic, and healthcare consequences. We discuss how synergy been the Penrose Effect and the War on Drugs has been mediated by, and reflects, a fundamental neurobiological connection between the brain diseases of mental illness and addiction. This neuroscience of dual diagnosis, also not anticipated by Penrose, is still not being adequately translated into improving clinical training, practice, or research, to treat patients across the mental illness-addictions comorbidity spectrum. This failure in translation, and the ongoing fragmentation and collapse of behavioral healthcare, has worsened the epidemic of untreated mental illness and addictions, while driving unsustainable government investment into mass incarceration and high-cost medical care that profits too exclusively on injuries and multi-organ diseases resulting from untreated addictions. Reversing the fragmentation and decline of behavioral healthcare with decisive action to co-integrate mental health and addiction training, care, and research—may be key to ending criminalization of mental illness and addiction, and refocusing the healthcare system on keeping the population healthy at the lowest possible cost.

The Utility of Large Language Models and Generative AI for Education Research

The use of natural language processing (NLP) techniques in engineering education can provide valuable insights into the underlying processes involved in generating text. While accessing these insights can be labor-intensive if done manually, recent advances in NLP and large language models have made it a realistic option for individuals. This study explores and evaluates a combination of clustering, summarization, and prompting techniques to analyze over 1,000 student essays in which students discussed their career interests. The specific assignment prompted students to define and explain their career goals as engineers. Using text embedding representations of student responses, we clustered the responses together to identify thematically similar statements from students. The clustered responses were then summarized to quickly identify career interest themes. We also used a set of a priori codes about career satisfaction and sectors to demonstrate an alternative approach to using these generative text models to analyze student writing. The results of this study demonstrate the feasibility and usefulness of NLP techniques in engineering education research. By automating the initial analysis of student essays, researchers and educators can more efficiently and accurately identify key themes and patterns in student writing. The methods presented in this paper have broader applications for engineering education and research purposes beyond analyzing student essays. By explaining these methods to the engineering education community, readers can utilize them in their own contexts.Comment: 3 figures, 10 table