High-level Perspective Research Articles

Adverse effects of psychedelics: From anecdotes and misinformation to systematic science.

Background:Despite an increasing body of research highlighting their efficacy to treat a broad range of medical conditions, psychedelic drugs remain a controversial issue among the public and politicians, tainted by previous stigmatisation and perceptions of risk and danger.Objective:This narrative review examines the evidence for potential harms of the classic psychedelics by separating anecdotes and misinformation from systematic research.Methods:Taking a high-level perspective, we address both psychological and psychiatric risks, such as abuse liability and potential for dependence, as well as medical harms, including toxicity and overdose. We explore the evidence base for these adverse effects to elucidate which of these harms are based largely on anecdotes versus those that stand up to current scientific scrutiny.Results:Our review shows that medical risks are often minimal, and that many – albeit not all – of the persistent negative perceptions of psychological risks are unsupported by the currently available scientific evidence, with the majority of reported adverse effects not being observed in a regulated and/or medical context.Conclusions:This highlights the importance for clinicians and therapists to keep to the highest safety and ethical standards. It is imperative not to be overzealous and to ensure balanced media reporting to avoid future controversies, so that much needed research can continue.

Health science research barriers and facilitators in the midst of the COVID-19 crisis: scoping review

RESUMENObjetivo: La pandemia ocasionada por el Covid-19 ha significado un gran desafío para la investigación en salud por la necesidad de dar una respuesta oportuna y efectiva a esta situación de crisis. Es importante proveer una visión panorámica sobre las principales barreras y facilitadores encontrados en la conducción de estudios en ciencias de la salud durante la crisis del Covid-19, así como también de las iniciativas en investigación sugeridas por autoridades en salud de investigación a nivel global, regional o local.Materiales y métodos: Se desarrolló una revisión sistemática de alcance. Se hizo una búsqueda de la literatura en Medline, Cochrane library, Lilacs y Google Scholar. Se incluyeron estudios de investigación originales, artículos de revisión, de opinión y editoriales disponibles en texto completo, publicados entre enero de 2020 y mayo de 2021 en español, inglés o portugués. Se hizo selección de los documentos y extracción de los datos por dos autores de manera independiente. Las barreras y facilitadores identificados fueron descritos y organizados en cuatro categorías a partir de la literatura: socioculturales, administrativos, organizacionales y metodológicos. Asimismo, se incluyeron documentos y comunicados oficiales de autoridades en salud e investigación a nivel global, regional y local. Los resultados se presentan de manera narrativa y en tablas.Resultados: Se seleccionaron 26 documentos para el análisis y síntesis de la información. Las barreras mencionadas más frecuentemente en la literatura incluyen las dificultades en cuanto al acceso a los participantes, a los trámites asociados a los comités de ética; así como el riesgo biológico para los investigadores y la falta de coordinación inter e intrainstitucional. Por su parte, los facilitadores identificados incluyen la adopción de soluciones virtuales, el trabajo cooperativo entre los actores de la investigación y la flexibilidad en el proceso de obtención del consentimiento informado. Frente a las iniciativas difundidas por las autoridades en salud e investigación, se identificaron cuatro estrategias relacionadas con la priorización de preguntas de investigación, el fomento de la cooperación y la inclusión en la investigación, la lucha contra la infodemia y el fortalecimiento de la calidad metodológica de los estudios.Conclusiones: Para la investigación en el contexto de la pandemia representa un desafío continuar con la cooperación e interoperabilidad entre las instituciones, los países y las disciplinas, con el fin de facilitar los procesos investigativos en el futuro; del mismo modo, cobra importancia mantener la ciencia abierta y la financiación de estudios cooperativos cuando surjan otras prioridades. Asimismo, es evidente la necesidad de desarrollar y sostener mecanismos que gestionen la información de manera eficiente para la toma de decisiones. Se requiere evaluar de manera continua los efectos que ha dejado esta pandemia en la práctica de la investigación en ciencias de la salud para comprender de manera integral lo que debemos aprender como sociedad a partir de las crisis.

Synchronous development in open-source projects: A higher-level perspective

Mailing lists are a major communication channel for supporting developer coordination in open-source software projects. In a recent study, researchers explored temporal relationships (e.g., synchronization) between developer activities on source code and on the mailing list, relying on simple heuristics of developer collaboration (e.g., co-editing files) and developer communication (e.g., sending e-mails to the mailing list). We propose two methods for studying synchronization between collaboration and communication activities from a higher-level perspective, which captures the complex activities and views of developers more precisely than the rather technical perspective of previous work. On the one hand, we explore developer collaboration at the level of features (not files), which are higher-level concepts of the domain and not mere technical artifacts. On the other hand, we lift the view of developer communication from a message-based model, which treats each e-mail individually, to a conversation-based model, which is semantically richer due to grouping e-mails that represent conceptually related discussions. By means of an empirical study, we investigate whether the different abstraction levels affect the observed relationship between commit activity and e-mail communication using state-of-the-art time-series analysis. For this purpose, we analyze a combined history of 40 years of data for three highly active and widely deployed open-source projects: QEMU, BusyBox, and OpenSSL. Overall, we found evidence that a higher-level view on the coordination of developers leads to identifying a stronger statistical dependence between the technical activities of developers than a less abstract and rather technical view.

Preserved Perspective Taking in Free Indirect Discourse in Autism Spectrum Disorder.

Perspective taking has been proposed to be impaired in persons with autism spectrum disorder (ASD), especially when implicit processing is required. In narrative texts, language perception and interpretation is fundamentally guided by taking the perspective of a narrator. We studied perspective taking in the linguistic domain of so-called Free Indirect Discourse (FID), during which certain text segments have to be interpreted as the thoughts or utterances of a protagonist without explicitly being marked as thought or speech representations of that protagonist (as in direct or indirect discourse). Crucially, the correct interpretation of text segments as FID depends on the ability to detect which of the protagonists “stands out” against the others and is therefore identifiable as implicit thinker or speaker. This so-called “prominence” status of a protagonist is based on linguistic properties (e.g., grammatical function, referential expression), in other words, the perspective is “hidden” and has to be inferred from the text material. In order to test whether this implicit perspective taking ability that is required for the interpretation of FID is preserved in persons with ASD, we presented short texts with three sentences to adults with and without ASD. In the last sentence, the perspective was switched either to the more or the less prominent of two protagonists. Participants were asked to rate the texts regarding their naturalness. Both diagnostic groups rated sentences with FID anchored to the less prominent protagonist as less natural than sentences with FID anchored to the more prominent protagonist. Our results that the high-level perspective taking ability in written language that is required for the interpretation of FID is well preserved in persons with ASD supports the conclusion that language skills are highly elaborated in ASD so that even the challenging attribution of utterances to protagonists is possible if they are only implicitly given. We discuss the implications in the context of claims of impaired perspective taking in ASD as well as with regard to the underlying processing of FID.

Measuring Dependence with Matrix-based Entropy Functional

Measuring the dependence of data plays a central role in statistics and machine learning. In this work, we summarize and generalize the main idea of existing information-theoretic dependence measures into a higher-level perspective by the Shearer's inequality. Based on our generalization, we then propose two measures, namely the matrix-based normalized total correlation and the matrix-based normalized dual total correlation, to quantify the dependence of multiple variables in arbitrary dimensional space, without explicit estimation of the underlying data distributions. We show that our measures are differentiable and statistically more powerful than prevalent ones. We also show the impact of our measures in four different machine learning problems, namely the gene regulatory network inference, the robust machine learning under covariate shift and non-Gaussian noises, the subspace outlier detection, and the understanding of the learning dynamics of convolutional neural networks, to demonstrate their utilities, advantages, as well as implications to those problems.

Data-driven order reduction in Hammerstein–Wiener models of plasma dynamics

The problem of identifying and therefore modelling a complex system makes use of various techniques and strategies whose computational efforts change drastically. It is not straightforward to analyse the complexity of a system as a whole because of myriads of factors, such as the way of arranging its constituent items and how they interact mutually. Intuitively, the bigger the set of sub-parts is, the more numerous the degrees of freedom are. Additionally there is not a specific and global criterion for optimally determining an always-working method that makes the identification procedure easier, especially in those contexts where the number of unknown variables can make the difference. In this sense, plasma physics is not an exception, being a field where complex phenomena, such as plasma instabilities, easily arise. From a systemic, high-level perspective, the possibility of employing a model that can describe these behaviours is particularly appealing, since it can be exploited for control applications that have not to neglect the underlying physical nature. So far, most of the work published in literature has focused on more physically-grounded models, which could describe how plasma physics works in detail, but very little has been done as mentioned before, with the aim of providing a computational, yet system-oriented, insight of these physical systems. Starting from real flux measurements recorded thanks to suitable sensors installed inside Tokamak machines, the paper attempts to provide a solution based on already known tools available in literature to solve the aforementioned problem, by combining both machine learning-based strategies for dimensionality reduction and control theory. More in detail, the whole architecture presented in this work is founded on the use of auto-encoders, which are intrinsically capable of compressing input features thanks to their structure, and Hammerstein–Wiener models, which are structurally endowed with both linear and non-linear sub-modellers for better capturing the whole dynamics to identify. By merging these functional blocks, it is possible to address both the issue of establishing the most relevant sub-set of variables for identification and the identification problem itself, resulting in a fully customisable approach to data-driven modelling.

The PANDA Framework for Hierarchical Planning

During the last years, much progress has been made in hierarchical planning towards domain-independent systems that come with sophisticated techniques to solve planning problems instead of relying on advice in the input model. Several of these novel methods have been integrated into the PANDA framework, which is a software system to reason about hierarchical planning tasks. Besides solvers for planning problems based on plan space search, progression search, and translation to propositional logic, it also includes techniques for related problems like plan repair, plan and goal recognition, or plan verification. These various techniques share a common infrastructure, like e.g. a standard input language or components for grounding and reachability analysis. This article gives an overview over the PANDA framework, introduces the basic techniques from a high level perspective, and surveys the literature describing the diverse components in detail.

Defined Contribution Plans: Challenges and Opportunities for Plan Sponsors

American workers rely on their employers to provide a way to generate retirement income beyond their Social Security earnings. Many employers still offer traditional defined benefit (DB) pension plans. A growing majority, however, have replaced DB plans with account-based defined contribution (DC) plans. Virtually everyone acknowledges that the basic DC plan design is flawed. Yet as a society with low private savings and a fraying Social Security system, we count on this imperfect structure to serve as a retirement security bulwark. Workers and society both need the employer-sponsored retirement system to function well. Enhancing DC plan design therefore becomes critical. Defined Contribution Plans: Challenges and Opportunities for Plan Sponsors offers guidance to plan sponsors interested in better understanding the primary issues confronting DC plans. We wrote this book from the viewpoint of the plan sponsor seeking to improve the DC system, and it follows five major themes: the plan participant, the plan sponsor, plan design, investments and investment managers, and asset decumulation in retirement. We present the material conversationally from a high-level perspective. We have not sought to write an encyclopedia on DC plans but rather focus on the basic features of well-run plans. We address key challenges facing DC plans and offer associated design and policy recommendations for plan sponsors and other interested parties to consider. Plan design improvements almost certainly will be incremental, rather than sweeping top-down changes mandated by regulators. Plan sponsors individually will make the important decisions that have lasting consequences for participants and for society. Our objective is to spark interest among sponsors, encouraging them to carry out additional research and take action. We believe the DC system will be strengthened by informed sponsors advocating for and implementing thoughtful strategic changes to their plans.

Heat consumption scenarios in the rural residential sector: the potential of heat pump-based demand-side management for sustainable heating

BackgroundPoor air quality and inadequate domestic heating sources are tightly connected problems in the Eastern-European countryside. There are a few alternatives to comprehensively solve these problems with an emphasis on economic and environmental sustainability. In this paper, individual heat pumps and energy efficiency measures are analyzed in four scenarios to investigate their role for cleaner and sufficient heating in rural settings. From a high-level perspective, this paper assesses the potential for electricity demand flexibility based on the use of individual heat pumps equipped with hot water storage.MethodsIn a first step, the current annual residential heating energy consumption of a rural area in Hungary is estimated with a bottom-up model using data from field surveys and official datasets. In a second step, four scenarios estimate the future heating energy consumption considering demographic trends and the average number of building retrofits (thermal insulation) performed yearly in the region.ResultsThe reference scenario is a 20-year projection of heating energy consumption with modest retrofit actions which resulted in small energy savings. Alternative scenarios based on more effective retrofit actions reaching higher rates of the building stock would result in a 23–69% reduction in final energy consumption. Phasing out lignite from the heating energy mix would reduce particulate matter emissions. Each well-insulated dwelling with a heat pump-based system and hot water storage tank could provide theoretical flexibility of approximately 3.4 kWh per 24 h.ConclusionsThe current energy retrofit practices are not sufficient to solve the challenges faced in this area. Demand-side management policies based on the widespread use of individual heat pumps are an alternative to promote access to cleaner residential heating. An additional benefit is the potential for flexibility in electricity demand. Thus, this paper calls for an integration of energy retrofit with efficient heating (including hot water storage tank) to achieve results that further contribute to a future of sustainable energy.

The strategic design of port services based on a total landed cost approach

PurposeThis paper explores the effect of port's service time, particularly the mean and variability, on shippers' total landed costs to determine the competitive position of the port and derive recommendations for the strategic design of port services.Design/methodology/approachThe competitive position of a port is estimated considering the service level offered to the end-users of the port such as port service time, its variability and its effect on the total landed costs observed by the port users. The proposed methodology is meant to help ports to determine the required service time levels to maintain or gain a competitive advantage against other ports, in terms of attracting common hinterland's customers.FindingsResults show the advantages of considering service levels factors to determine the competitive position of a port, and what are the minimum characteristics required to capture more traffic volumes, that can help port managers to take strategic design decisions to better position the port in the current fierce market.Research limitations/implicationsThe proposed methodology is illustrated by considering a case study, which is the Port of Guaymas in Mexico. Data was not directly collected by the port, but based on interviews with shippers and public information, a representative case is presented. Due to a confidentiality agreement with the Port, specific references for most of the data used to estimate the model's parameters are not provided. The analysis is intended to show the potential value of this mechanism and can be used for evaluating the competitive position, from a high-level perspective, of any port to determine potential hinterland by improving the service level of the port.Originality/valueThe existing literature on port choice and port competition has not previously considered the effect of port service levels under the perspective of total landed costs of the users, being this paper a contribution to fulfill this gap.

Smart, Sustainable and Citizen Centered: A Network Analysis of Urban R&D Trends in Seoul, South Korea

Although it is now recognized that place matters for urban development policy, most case studies focusing on particular cities tend to adopt a high-level perspective that imperfectly captures the full spectrum of context-relevant urban development issues. This study applies semantic network analysis to a corpus of 13,852 accepted R&D project proposals on issues related to the urban development of Seoul, South Korea. Through our analysis, we highlight important research trends and also make connections between these trends and the policy orientation and priorities of successive mayoral administrations over a period of 16 years. Although the results suggest that there is significant overlap between policy orientation and scientific research activity, the interests of research scientists cannot be reduced entirely to political priorities. The study contributes to the literature by fusing the place-based approach to urban development studies with the computational content analysis methodology. We raise several questions for future research, including questions about the relationship between policy priorities, scientific research, and academic research.

Solar‐thermal driven drying technologies for large‐scale industrial applications: State of the art, gaps, and opportunities

Research and Innovation (R&I) on Large-scale Industrial Solar-thermal driven Drying technologies (LISDs) is one of the strategies required to transition to a low-carbon energy future. The objective for this work is to guide future R&I on LISDs by defining the state of the art, gaps, and opportunities. To provide a high-level perspective on the current state of solar drying research, results are presented from an analysis of the content relevant to LISDs found in 45 solar drying Review Articles published in journals over the past 25 years. A conclusion is that most of the existing solar drying research is not focused on LISDs. To build-on these existing 45 solar drying Review Articles, results are presented from an analysis of 30 Original Research Articles with significant content relevant to LISDs published over the past 5 years. A gap is identified in coupling existing or slightly modified solar thermal collectors with existing or slightly modified industrial drying technologies to create indirect LISDs. To facilitate formulating new coupling strategies, the drying characteristics most relevant to this coupling are described and four fundamental classes of industrial dryer technologies are defined based on the underlying heat transfer mechanism, which then impacts the appropriate collector choice. At their most fundamental level, many of the technologies needed to couple solar collectors and industrial dryers to create novel indirect LISDs are not unique to indirect LISDs, but rather can be generalized across a wide range of Solar Heat for Industrial Processes (SHIP) applications, and integration issues are discussed at a more fundamental SHIP level. The technical and economic characteristics of 19 existing LISDs installations throughout the world are presented, and potential and emerging areas discussed.

Looking inward, outward, and forward: Exploring the process of transformative learning in teacher education for a sustainable future

Sustainability education plays a pivotal role in driving change in the present and shaping our global future. This study explores the process of transformative learning among 67 preservice elementary teachers (PSTs) enrolled in a sustainability science course by analyzing six assignments submitted throughout the semester. Using a combined deductive–inductive coding procedure guided by transformative learning theory, our analyses document how PSTs looked inward (e.g., thinking, feeling), outward (e.g., making connections, relating to others), and forward (e.g., taking action) toward building a sustainable future. During the course, all PSTs experienced a disorienting dilemma, the foundation upon which transformative learning takes place. However, few PSTs demonstrated higher-level perspective transformation. When imagining alternative futures, PSTs drew on limited exposure to sustainability-oriented curricula and practices at internship sites, and perhaps as a consequence, most PSTs reflected foremost on their own lifestyles and consumer actions as primary areas for transformation. Moreover, PSTs rarely viewed themselves as potential agents of collective, policy-directed, or collaborative change. Importantly, it was uncommon for PSTs to reflect on their potential role as agents of change as educators who can cultivate sustainability within their classrooms and through their students. Returning to the inward-, outward-, and forward-looking framework, this paper closes with several recommendations for improving the transformative potential of teacher education—particularly towards preparing PSTs to recognize and actualize their potential to influence both what sustainability science content is taught, how these curricula are addressed, and their role in the classroom as agents of societal transformation toward sustainability.

Issues in distributed Engineering of SMEs over the Collaboration Life Cycle

Abstract Collaboration in product development has played an increasingly important role in the past decades. However, distributed engineering creates a wide variety of challenges that, in some cases, are highly context dependent. In Germany, small and medium sized enterprises (SMEs) play a vital role to the economy and engage in many collaborative engineering projects. So far, it remains a practical challenge to design a joint engineering environment that is not well-assisted by the science community. In addition, collaborations evolve over time. This study examines problem fields in collaborative engineering of SMEs and presents the collaboration life cycle (CLC) framework. This framework aims at classifying and contextualizing different problem domains within the greater context of a collaborative partnership. Therefore, we have conducted an interview study with industry experts regarding challenges in distributed engineering with SMEs and validated the results through an industry workshop. We argue that a high-level perspective on collaboration with different life-cycle phases in conjunction with the description of practical problem fields can assist in understanding collaboration in distributed design better. Going forward, the findings provide the base for ongoing research in a project that aims to make the maturity level of any distributed engineering environment assessable and provides guidance for improvements.

Is crisis management and its tools based on systems methodology

The paper presents overview of selected methods and tools of crisis management and compare their steps with steps of systems methodologies from high-level perspective. It is aimed to the methods and tools that comprise systems methodologies - hard and soft. Author focused on analysis of selected tools that are used in disaster management. A comparison of the steps of crisis management methods and systems methodology was done. Based on this comparison, it is possible to point out that systems approach already exists in few of methods of crisis management. The main finding is that only one method of crisis management creates and develops model that helps to abstract the decision. The main benefit of the article is to spread knowledge of systems approach in crisis management.

No More Missing Inventory: Blockchain and RFID Technology Applications within the Retail Inventory Management System

Over the last two years blockchain technology has presented itself as a potential digital transformation that could disrupt and revitalize many business models. However, this digital transformation is still new and many companies grapple with possible applications of its theoretically sound benefits. Academic research is scarce and often limited to high level perspectives on how blockchain can benefit businesses in general. The time is right for exploring specific applications of the technology. This research considers how the digital transformation to blockchain could impact inventory management practices within the retail industry. The research relies on data collected through phenomenological interviews with management personnel of three clothing retail store franchisees.

Perceptions or Actions? Grounding How Agents Interact Within a Software Architecture for Cognitive Robotics

One of the aims of cognitive robotics is to endow robots with the ability to plan solutions for complex goals and then to enact those plans. Additionally, robots should react properly upon encountering unexpected changes in their environment that are not part of their planned course of actions. This requires a close coupling between deliberative and reactive control flows. From the perspective of robotics, this coupling generally entails a tightly integrated perceptuomotor system, which is then loosely connected to some specific form of deliberative system such as a planner. From the high-level perspective of automated planning, the emphasis is on a highly functional system that, taken to its extreme, calls perceptual and motor modules as services when required. This paper proposes to join the perceptual and acting perspectives via a unique representation where the responses of all software modules in the architecture are generalized using the same set of tokens. The proposed representation integrates symbolic and metric information. The proposed approach has been successfully tested in CLARC, a robot that performs Comprehensive Geriatric Assessments of elderly patients. The robot was favourably appraised in a survey conducted to assess its behaviour. For instance, using a 5-point Likert scale from 1 (strongly disagree) to 5 (strongly agree), patients reported an average of 4.86 when asked if they felt confident during the interaction with the robot. This paper proposes a mechanism for bringing the perceptual and acting perspectives closer within a distributed robotics architecture. The idea is built on top of the blackboard model and scene graphs. The modules in our proposal communicate using a short-term memory, writing the perceptual information they need to share with other agents and accessing the information they need for determining the next goals to address.

Pragmatic Tool vs. Relational Hindrance

Social media privacy features can act as a mechanism for regulating interpersonal relationships, but why do some people not use these features? Through an interview study of 56 social media users, we found two high-level perspectives towards social media and privacy that affected attitudes towards and usage of privacy features. Some users took a pragmatic approach to using social media and felt comfortable using various privacy features as a tool to manage their social relationships (e.g., avoiding bothersome posts, not feeling compelled to interact). However, there were also users who viewed taking such privacy actions as a relational hindrance and were concerned how using certain features to meet their own needs would harm their relationships with others. Through a subsequent survey (N=320), we reveal how these two perspectives impact user behavior across four social media platforms (Facebook, Instagram, LinkedIn, Twitter). Users who viewed social media as a pragmatic tool indeed used privacy features more. On the other hand, users who focused on how privacy can serve as a relational hindrance avoided using these features and, instead, prioritized social engagement and took a more indirect approach to protecting their privacy. Furthermore, the results show how these perspectives vary by individual rather than by privacy feature. These findings demonstrate the need to consider different perspectives towards social media and privacy when trying to understand and design for user behavior.

On a Simple General Principle of Brain Organization.

A possible framework to characterize nervous system dynamics and its organization in conscious and unconscious states is introduced, derived from a high level perspective on the coordinated activity of brain cell ensembles. Some questions are best addressable in a global framework and here we build on past observations about the structure of configurations of brain networks in conscious and unconscious states and about neurophysiological results. Aiming to bind some results together into some sort of coherence with a central theme, the scenario that emerges underscores the crucial importance of the creation and dissipation of energy gradients in brain cellular ensembles resulting in maximization of the configurations in the functional connectivity among those networks that favor conscious awareness and healthy conditions. These considerations are then applied to indicate approaches that can be used to improve neuropathological syndromes.

Cooperation turns preschoolers into flexible perspective takers

Two experiments were carried out to determine if brief priming for cooperation or competition affects 4-year-old children’s visual perspective taking. In each experiment, children were tested for their flexibility to take different perspectives between themselves and an adult who cooperated with or competed against them earlier in a fishing game. The results of Experiment 1 (N = 48) showed that children who cooperated with, compared to those who competed against, an adult were more capable of comprehending perspectives that were different from their own. The results of Experiment 2 (N = 72) further clarified that children still had some difficulty in understanding others’ perspectives at the baseline. Further, compared to the baseline, cooperation, but not competition, significantly improved their flexibility in understanding others’ perspectives. The current findings extend knowledge about the development of high-level perspective taking and how it is correlated with different types of social interaction, especially cooperation.