Special Resources Research Articles

Sleep to Reduce Incident Depression Effectively (STRIDE): study protocol for a randomized controlled trial comparing stepped-care cognitive-behavioral therapy for insomnia versus sleep education control to prevent major depression

BackgroundPrevention of major depressive disorder (MDD) is a public health priority. Strategies targeting individuals at elevated risk for MDD may guide effective preventive care. Insomnia is a reliable precursor to depression, preceding half of all incident and relapse cases. Thus, insomnia may serve as a useful entry point for preventing MDD. Cognitive-behavioral therapy for insomnia (CBT-I) is recommended as the first-line treatment for insomnia, but widespread implementation is limited by a shortage of trained specialists. Innovative stepped-care approaches rooted in primary care can increase access to CBT-I and reduce rates of MDD.Methods/designWe propose a large-scale stepped-care clinical trial in the primary care setting that utilizes a sequential, multiple assignment, randomized trial (SMART) design to determine the effectiveness of dCBT-I alone and in combination with clinician-led CBT-I for insomnia and the prevention of MDD incidence and relapse. Specifically, our care model uses digital CBT-I (dCBT-I) as a first-line intervention to increase care access and reduce the need for specialist resources. Our proposal also adds clinician-led CBT-I for patients who do not remit with first-line intervention and need a more personalized approach from specialty care. We will evaluate negative repetitive thinking as a potential treatment mechanism by which dCBT-I and CBT-I benefit insomnia and depression outcomes.DiscussionThis project will test a highly scalable model of sleep care in a large primary care system to determine the potential for wide dissemination and implementation to address the high volume of population need for safe and effective insomnia treatment and associated prevention of depression.Trial registrationClinicalTrials.gov NCT03322774. Registered on October 26, 2017

A study of Employee Engagement Practices and its Impact on Team Effectiveness in the context of Virtual and collaborative Workplace

Purpose: To identify the challenges faced by virtual teams and study the impact of employee engagement practices on performance, team effectiveness of Virtual workforce/Virtual teams. Research Problem: With the Gig Economy coming in and the worldwide disruption in the operation of many organizations due to Geo-political or Biological Factors, organizations should be well prepared to continue to give an uninterrupted performance. Under such circumstances, managing the virtual workforce becomes very important. Due to technological advances, people all across the globe can collaborate without traveling. However, as a result, organizations operate change and require developing a new set of competencies from both managers and employees. Therefore, to ensure the smooth running of an organization, it is imperative to have a concrete performance management system in place as far as the virtual workforce is concerned. Execution of virtual work calls for extensive scientific research because managing a virtual team is different from managing an ordinary team. Research Methodology: The stratified sampling method has been used as the mode of data collection for this research, which has been done by floating a set of questionnaires among the sample set of respondents. Stratified sampling would help classify the sample set into different strata as required and optimize the sample size accordingly to have better precision. In this case, the sample has been categorized primarily into two strata of Gender (Male and Female). The responses have been then analyzed through SPSS by Factor analysis to reach the objective from a grass root level. In this case, the respondents were selected from only those organizations where the work-from-home nature is a viable option. Then the respondents were selected and segregated based on gender to ensure a diverse sample set. Once the data has been run through factor analysis and the independent variables have been identified, linear regression analysis has then been performed on the data to understand the relationship between the deduced independent variables and team effectiveness. Finally, based on the literature review and the responses received through the questionnaire, this piece of research will analyze the inputs and recommend suitable practices in leading virtual teams, taking the challenges faced by the virtual teams into consideration. Expected Outcome/Findings: Through this research, it is expected to conclude the challenges that virtual teams face and the factors that affect the performance of the virtual teams, It is then required to map the associated factors influencing performance to recommend viable, practical, and virtually implementable employee engagement practices. Practical / Managerial Implications: The study shall help virtual team managers better identify the needs of the employees, which would lead to better employee engagement and, in turn, improve productivity. It would help the Human Resource specialists pay specific attention to certain areas of employee engagement and motivational factors while introducing a virtual work ecosystem to optimize the workforce’s performance. Originality/Value: The paper’s originality comes from its methodological approach to identify the factors or the clusters of factors that impact the performance of virtual teams and the in-depth analysis of the factors to incorporate the same while designing employee engagement practices in an organization for its virtual workforce.

Research of potential data leaks in information and communication systems

This article discusses the problem of ensuring the protection of user data in information systems. It is shown that classic information systems are represented by stationary and mobile communication devices focused on data exchange with digital space. The fundamental principles of user data exchange in the digital space are considered. It has been established that leading technology IT corporations collect data from user communication devices. It is shown that the organization of data collection is carried out by redirecting the DNS traffic of the communication device to the DNS servers of IT corporations, followed by its encryption using the DoH protocol. This makes it impossible for authorized services and departments of national states to control the users’ DNS traffic and ensures the monopoly position of IT corporations in the global digital market for collecting and analyzing user data. It is shown that the collection of user data is carried out with the aim of further monetization and influencing decisions made by users. DNS traffic of devices for communication with the digital space of the Internet is fixed. An audit of the recorded DNS traffic was performed, and as a result, specialized Internet resources were identified to be responsible for collecting and processing user data. It has been proved that the identified specialized Internet resources belong to IT corporations. Methods of identification of communication devices in digital space were considered. It is shown that the identification of communication devices is based on the collection of a unique set of data from each communication device. Based on each unique data set, a digital fingerprint of the communication device is formed, which is used for its further identification in the digital space. These approaches allow organizing protection against user data collection in information systems. Software and hardware implementations for protection against data collection from communication devices are proposed. It has been experimentally established that the combined use of the proposed software and hardware models provides the most effective protection against data collection from communication devices and does not affect the functionality of information systems.

Impacts of landscape spatial configuration of integrated multi-pond constructed wetlands in a basin on the treatment of non-point source pollution

To assess the retention performance of integrated multi-pond constructed wetlands (MPCWs) for the interception of non-point source (NPS) pollution in a basin, the examination of catchment divisions was applied to explore the impacts of the landscape spatial configuration of MPCWs on the treatment of NPS pollution. An empirical assessment model was established to determine the characteristics of the nitrogen and phosphorus removal performance of MPCWs in different catchment divisions. Average interception efficiencies of TN (4.18%) and TP (5.05%) in the catchment divisions were achieved. The scattered distribution of MPCWs in an annular shape in the catchment was helpful for the collection and interception of wastewater, while the spatial configuration of several MPCWs positioned in a straight line along the elevation obtained unsatisfactory interception performance. The result of the relationship between spatial configuration parameters and interception performance of MPCWs in the catchments estimated that choosing reasonable site locations, increasing the ratio of the MPCW area to the catchment area (A: Ac), the number, areas, and volume of MPCWs in the catchment, and optimizing other spatial configuration parameters such as following the flow direction, connecting to the river or ditch systems, all contributed to the interception performance of MPCWs for the NPS pollution. The overall planning perspective on local special land resources, pollution source structure, and the sustainable allocation of rural agricultural water resources for the parameters optimization of geographical landscape structure was highlighted in the scientific management of MPCWs for controlling NPS pollution in a basin.

Mitra Sejati Medan Hospital Reputation Restoration Strategy in the Case of Swapped Baby

A good reputation is one of the main factors for successful performance, but its implementation is still being questioned in various agencies or organizations in Indonesia. This qualitative study aims to analyze and evaluate the success of the reputation restoration strategy for Mitra Sejati Hospital in Medan after the baby are swapped. This research involved two key informants (public relations and supervisors) who handled the case. The collected data were analyzed using the Miles and Huberman analysis techniques. The results of this study informed that Mitra Sejati Medan Hospital was quite slow in providing an initial response, so that the case was spread through the media. Furthermore, the hospital then used three stages, namely mortification, compensation, and collective action. Following up on the findings in this study, the reputation management of Mitra Sejati Medan Hospital must be further optimized through various training and special learning resources.

Future campus connection: By design or by default

Now more than ever, tertiary educators should be able to answer the question, ‘why are we teaching on campus?’ Even prior to the COVID-19 pandemic, we, as a group of education design staff in the central learning and teaching unit at Massey University, started questioning the notion of campus as the default space for learning. In doing so, we discovered opportunities to: better support students’ diverse needs and life loads; operationalise transition pedagogies; and harness the specific learning experiences only a campus can provide, while embracing the affordances of modern technology to enhance learning. As our unit is well placed to surface these possibilities and advocate for change, the notion of intentional campus connection is a key theme in various projects with which we engage. Collaborative project work focused on intentional design allows for the learner and the learning task to be put at the centre of the experience. Why are campus attendance decisions made? What knowledge, skills, or values are students expected to experience or demonstrate during these campus sessions? Only when we ask exactly what teachers require students to demonstrate and/or experience can we then determine the space that best accommodates the learner and the task. In some cases, existing research on learning spaces can guide us – for example, self?paced (asynchronous) online learning is a flexible and effective way for students to engage with new core knowledge (Mullen, 2020; Ng, 2015; Petronzi & Petronzi, 2020; Reidsema et al., 2017) – and in others, we can often be guided by ethical considerations. We have observed two responses when the topic of selecting learning spaces is raised in projects. The first, most common, is the decision is made based on traditions and teacher-centered practices that have, in some contexts, a questionable role in contemporary learning environments, especially for mature, distance cohorts. These campus decisions often occur by default, when teaching teams work independently from educational design teams. The second response involves a design decision led by a need for students to engage in or evidence learning on campus as it cannot (easily) be achieved any other way. For example, they may need to access special facilities or resources (e.g., gain confidence and evidence readiness in a simulation lab before work-integrated-learning experiences), or participate in an occasion that cannot be replicated online (e.g., get the opportunity to find a project sponsor at a business networking event). Our collaboration with teaching teams is often the catalyst for robust discussions that, when successful, lead to campus connections that reflect modern, learner-centered, intentional approaches to learning design. Through examples of programme and course level design changes, this poster will explore the phased approaches, systemic and cultural challenges that authentic blended design surfaces, and the future opportunities that our work has uncovered on the path to encouraging intentional connections to campus.

On the impact of resource relocation in facing health emergencies

The outbreak of SARS-CoV-2 and the corresponding surge in patients with severe symptoms of COVID-19 put a strain on health systems, requiring specialized material and human resources, often exceeding the locally available ones. Motivated by a real emergency response system employed in Northern Italy, we propose a mathematical programming approach for rebalancing the health resources among a network of hospitals in a large geographical area. It is meant for tactical planning in facing foreseen peaks of patients requiring specialized treatment. Our model has a clean combinatorial structure. At the same time, it considers the handling of patients by a dedicated home healthcare service, and the efficient exploitation of resource sharing. We introduce mathematical programming heuristic based on decomposition methods and column generation to drive very large-scale neighborhood search. We evaluate its embedding in a multi-objective optimization framework. We experiment on real world data of the COVID-19 in Northern Italy during 2020, whose aggregation and post processing is made openly available to the community. Our approach proves to be effective in tackling realistic instances, thus making it a reliable basis for actual decision support tools.

Diagnosis of Cervical Cancer and Pre-Cancerous Lesions by Artificial Intelligence: A Systematic Review.

The likelihood of timely treatment for cervical cancer increases with timely detection of abnormal cervical cells. Automated methods of detecting abnormal cervical cells were established because manual identification requires skilled pathologists and is time consuming and prone to error. The purpose of this systematic review is to evaluate the diagnostic performance of artificial intelligence (AI) technologies for the prediction, screening, and diagnosis of cervical cancer and pre-cancerous lesions. Comprehensive searches were performed on three databases: Medline, Web of Science Core Collection (Indexes = SCI-EXPANDED, SSCI, A & HCI Timespan) and Scopus to find papers published until July 2022. Articles that applied any AI technique for the prediction, screening, and diagnosis of cervical cancer were included in the review. No time restriction was applied. Articles were searched, screened, incorporated, and analyzed in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-analyses guidelines. The primary search yielded 2538 articles. After screening and evaluation of eligibility, 117 studies were incorporated in the review. AI techniques were found to play a significant role in screening systems for pre-cancerous and cancerous cervical lesions. The accuracy of the algorithms in predicting cervical cancer varied from 70% to 100%. AI techniques make a distinction between cancerous and normal Pap smears with 80-100% accuracy. AI is expected to serve as a practical tool for doctors in making accurate clinical diagnoses. The reported sensitivity and specificity of AI in colposcopy for the detection of CIN2+ were 71.9-98.22% and 51.8-96.2%, respectively. The present review highlights the acceptable performance of AI systems in the prediction, screening, or detection of cervical cancer and pre-cancerous lesions, especially when faced with a paucity of specialized centers or medical resources. In combination with human evaluation, AI could serve as a helpful tool in the interpretation of cervical smears or images.

Paternal genetic diversity, differentiation and phylogeny of three white yak breeds/populations in China

The white yak, a type of unique and valuable farm animals on the Qinghai-Tibet Plateau, are mainly distributed in Tianzhu (County of Gansu Province), Menyuan, Huzhu and Ledu (three Counties of Qinghai Province) in China. In the present study, the Y-chromosomal genetic diversity, differentiation and phylogeny of three Chinese white yak breeds/populations (Tianzhu, Huzhu and Menyuan) were comprehensively explored using five Y-SNPs (SRY4, USP9Y, UTY19, AMELY3 and OFD1Y10) and one Y-STR (INRA189) markers. The results showed that six Y-haplotypes (H1Y1, H9Y1, H10Y1, H11Y2, H12Y2 and H13Y2) were identified in 97 male yak from three white yak breeds/populations. Among these haplotypes, H1Y1, H10Y1 and H11Y2 were shared by all of breeds/populations and H12Y2 was shared by Tianzhu and Huzhu populations. However, H9Y1 and H13Y2 haplotypes were only detected in Menyuan and Tianzhu white yak populations, respectively. The Y-haplotype diversity was maximum in Huzhu white yak (0.7500 ± 0.0349), the medium in Tianzhu white yak (0.6881 ± 0.0614) and the lowest in Menyuan white yak (0.5720 ± 0.0657). The total Y-haplotype diversity of three white yak breeds/populations was 0.7567 ± 0.0233, indicating rich paternal genetic diversity in white yak. The FST values showed a moderate differentiation between Tianzhu and Menyuan (FST = 0.0763, P < 0.05) populations, but a weak differentiation between Huzhu and Tianzhu white yak breeds/populations (FST = 0.0186, P > 0.05) and Huzhu and Menyuan (FST = − 0.005, P > 0.05) populations. The clustering analysis revealed a close genetic relationship between Huzhu and Menyuan white yak, both were far from Tianzhu white yak breed. The phylogenetic analyses showed that white yak had two Y-haplogroups/lineages (Y1 and Y2) with two potential paternal origins. The findings of present study provide new insight into the basic information for the formulation of molecular breeding programs of white yak. Moreover, it also contributes to the conservation and utilization of this special animal genetic resource.

Environmental Education and the new curriculum for Wales: an evaluation of how a family of schools in a rural area used a Theory of Change approach

This paper evaluates an Environmental Education programme where the barriers and opportunities for professional development, access to specialist resources, provision through technology and partnership are considered within the context of Wales and the demands of a new curriculum. The findings reflect on the first three years of an education programme that uses a Theory of Change framework to plan for learning with 9–11 year olds in Wales, UK. Drawing on qualitative individual and group interviews with teachers and pupils across six schools, the successes and challenges of this framework are presented. I suggest that combining a Theory of Change framework with a Capability Approach—focussing on values and agency—offers a more useful planning tool for curriculums developing strategies where teacher agency is encouraged—compared to using one approach alone.

Innovation and Business Model of Life and Health Sharing Platform Based on Algorithm of Naive Bayesian Model

Including shared bicycles, shared chefs, shared ideas, shared printing, and even shared human resources, the vocabulary of sharing has quietly entered people’s lives, affecting everyone’s necessities. “Everyone can participate” and “everything can be shared” are all familiar words in the sharing economy field. The implementation of the sharing economy is carried out by relying on the sharing platform. Knowledge, as a special resource, can exert its maximum benefit only when it is widely disseminated and shared, and the process of knowledge sharing and transformation itself contains knowledge innovation. By linking the multiparticipants of the platform, sharing, cocreation, and win-win are realized. The research value of this paper lies in the use of microservices to solve the problems of high coupling, poor scalability, and difficulty in rapid iteration in traditional monolithic applications, effectively identifying and blocking spam that may appear on the platform through a relatively simple solution. Meanwhile, it has been expected that under the trend of sharing economy, with the development of blockchain and 5G technology, an Internet life and health platform can be built. The upstream and downstream in the medical and health industry can be linked to share resources between the upstream and downstream in the industry, which can create a common nakedness, thus improving the operational efficiency and profitability of the entire medical and health industry. Finally, a spam identification scheme combining the improved Aho-Corasick algorithm (AC) and the naive Bayesian model (NBM) has been proposed, and a comparative experiment was conducted between this scheme and the scheme directly using NBM. The experimental results showed that the macro F1 value of the improved scheme on the bad evaluation dataset of platform A was 3.6% higher than that of NBM alone, and the macro F1 value of the improved scheme was 1.7% higher than that of NBM alone on the B platform review dataset. The overall performance of the improved NBM algorithm was stable and better than the traditional algorithm, which verified the feasibility of the scheme.

Resource needs screening and matching at an academic oncology center: RESOURCE preliminary results.

178 Background: The social determinants of health contribute to patient (pt) health status throughout the cancer care continuum. Here we describe preliminary results of RESOURCE, a pragmatic intervention to ID and intervene on pt resource needs at an academic oncology center. RESOURCE is an EHR-integrated questionnaire (qst), given when establishing oncology care, that IDs the following needs: transportation; financial, food, &amp; housing security; cost of care; education &amp; employment; and caregiving burden. Pts from an HUP population or reporting resource needs on the cancer center’s intake qst are screened with RESOURCE. Those randomized to the intervention reporting a resource need receive an EHR-mediated referral to internal resource specialist and financial assistance teams. Methods: All adult cancer pts may complete the EHR-integrated intake qst. We compared historic rates of reported vulnerability from the intake qst with resource needs reported in RESOURCE. Intake qst data from 6/2015 – 4/2022 included 21,343 respondents with data on financial security, social isolation, health literacy, and health numeracy. RESOURCE data from 6/2021 – 6/2022 on the domains above included 75 respondents (125 will be accrued in total; no conditions will end accrual early). The intake qst is available for all adult cancer pts (response rate 24%; RESOURCE response rate of 87%). and The following were compared with χ2 tests: the demographic profile of each pt population; and the proportion of respondents with any one need ID'd by RESOURCE vs the intake qst. These preliminary results allow us to determine if we may prepare to scale RESOURCE upon the study’s completion. Results: The enriched pt population of RESOURCE means that there is a statistically significant difference in demographics between the general pt population responding to the intake qst and the RESOURCE pts responding to the RESOURCE by each category (p-values &lt; 0.01). A higher proportion of pts identified a need on the intake qst (61%) than on RESOURCE (41%). RESOURCE pts most commonly reported the following needs: paying utility bills (24%), food security (20%), and cost of care (19%). Conclusions: While a larger proportion of pts reported a resource need on the intake qst, the RESOURCE qst had a far superior response rate; this discrepancy makes it difficult to determine which qst is better at determining resource needs. The RESOURCE qst allows us to see the type of need in greater detail. Collecting this data systematically allows us to quantify the resource needs of our pts so we can provide adequate support staff and resources.[Table: see text]

Проектирование предпринимательских сетей: развитие методики оценки сетевого потенциала корпораций Арктической зоны Российской Федерации.

In a number of previous publications devoted to the design of entrepreneurial networks, methods for assessing the network entrepreneurial potential of territories, considered as a set of entrepreneurial potentials of the stakeholders of the territory, are presented. In particular, an assessment is made of the entrepreneurial potential of the infrastructure business, civil organizations, public authorities and the population of the territories of the Arctic zone of the Russian Federation. Corporations operating in the territory have a great influence on the quality of innovation processes, so the task of assessing the entrepreneurial potential of corporations in the territories is very important. The main idea is the formation of a methodology for assessing the network potential of the stakeholders of the territory based on the criteria for the distinctive features of entrepreneurship: innovation, creativity, information content and riskiness. The purpose of the study is to develop a methodology for assessing the network entrepreneurial potential of corporations in the territory and determining the potential of the territories of the Arctic zone of the Russian Federation. The paper proposes a new approach to assessing the network entrepreneurial potential of corporations in terms of their viability as sources of venture capital and forms of participation in innovation processes based on operational information presented in the accounting (financial) statements of corporations and posted on special Internet resources. As a result of the study an assessment methodology was developed, with the help of which the network entrepreneurial potential of corporations in the territories of the Arctic zone of the Russian Federation was determined; the venture behavior policy of large resource holdings of the Arctic zone of the Russian Federation such as PJSC MMC Norilsk Nickel, PJSC Gazprom, PJSC Novatek and subsidiaries affiliated companies, was assessed. It was concluded that the corporations of the Russian Arctic territories demonstrate a high potential as a source of venture capital, therefore, there is a high probability of their interest in entrepreneurial innovation projects, the form of participation in which is determined by the type of venture policy. The results of the study are a part of the further development of methodology for the formation of an effective network actor’s composition in the Russian Arctic.

Collaboration between teachers and educational-psychological service counsellors

This qualitative study examines cross-professional collaboration between Educational-Psychological Service (EPS) counsellors and school teachers who have pupils with special needs in their class. Research shows that EPS counsellors spend much time writing assessment reports, that they do not have much presence in school and that there is a power imbalance between the collaborating parties. The collaboration may be experienced as imbalanced because the teacher is dependent on the EPS counsellors’ expertise and assessment reports for special teaching resources to be made available for pupils. Six teachers have been interviewed about their collaboration with EPS staff. The thematically analysed findings show that the teachers generally have good collaboration with the counsellors and trust them. However, they feel vulnerable because their teaching is being assessed, and they depend on the EPS report’s recommendations for resources. The informants feel that the typical signs of an equal collaboration relationship are when the partners have a good dialogue and mutual trust. A role clarification between the collaboration parties is needed, where there is trust, acknowledgement and mutual respect. This will in turn inspire a collaboration that leads to changes in the teaching situation and to special teaching measures for the pupils with special needs.

The behavioural ecology toolkit for fish management and conservation

AbstractFishes include some of the most threatened vertebrate species globally. As such, efforts to effectively conserve and manage fish populations and their habitats are vast. Here, we present conceptual tools from behavioural ecology to establish a framework for studies of fish conservation and management, connecting questions relevant to managers and practitioners with behavioural theories and methodologies. We apply predictions developed from a theory to diet choice, patch use, habitat selection, movement, and social behaviours. We present questions and issues in fisheries management and conservation for which theory, hypotheses, and methodologies would be both novel and complementary to current assessment strategies or conservation efficacy studies. In each case, theory approaches the ecological trade‐offs associated with a given behavioural trait through the lens of adaptations and fitness implications—the foundational principles of behavioural ecology. We show key methodologies used to effectively apply behavioural theory to specific hypotheses relevant to a given management question. We then compile the conceptual and methodological approaches to assemble a toolkit through which fisheries managers may assess, for example, habitat selection behaviours via novel study designs and/or new ways of interpreting commonly collected data (e.g., distribution and abundance relative to habitat type). Finally, we propose training of aquatic and marine natural resource specialists and conservation agency fish biologists be complemented with behavioural ecology theories and methodologies.

Mapping Late Hokusai Research: Digitizing and Publishing Bilingual Research Data

The initiative “Late Hokusai: Thought, Technique, Society” took place at the British Museum (BM) and SOAS, University of London (2016–2019). As part of its activities, it built a linked-data platform prototype on ResearchSpace. The prototype offers a redesigned process for how museum researchers and users find, research with, discuss and expand bilingual data about early modern Japanese artist Katsushika Hokusai (1760–1849) and instigated a discussion about what a collaborative research platform for the Hokusai research community could look like. While Japanese resource specialists have long recognized the complexity of Japanese script as a challenge for multilingual research and collection platforms, the processes for and results of integrating Japanese source data into bi- or multilingual museum databases remained unsatisfactory.This paper revisits the challenges posed by “non-Latin script” (NLS) in museum databases in the case of the Hokusai research platform at the British Museum, which integrated Japanese and English languages. It localizes the issues arising from working with Japanese source data in the Latin script project environment and accompanies the museum researchers’ tasks regarding the correct input, rendering and display of the source script at each step: 1) object analysis, 2) registering NLS metadata, 3) processing NLS information and 4) visualizing LS and NLS information for general and specialist audiences. After assessing these practices, the paper critically reflects on selected approaches, successes, and shortcomings experienced while creating such a prototype. By sharing its experiences, the project hopes to aid prospective research projects on a similar path regarding project setup and documentation. Furthermore, it advocates the sustainability of research practices according to data reusability parameters.L’initiative « Late Hokusai : Thought Technique and Society » (Hokusai tardif : Pensées techniques et société) a eu lieu au British Museum (BM) et SOAS, l’Université de Londres (2016-2019). Dans le cadre des activités, cette initiative a produit une plateforme prototype de Web des données sur ResearchSpace. Le prototype offre un processus redessiné aidant les chercheurs de musée et les usagers à trouver, à faire de la recherche, à discuter et à étoffer les données bilingues concernant l’artiste Katsushika Hokusai (1760-1849), du début de l’ère moderne japonaise. Cela a déclenché une discussion sur l’apparence possible d’une plateforme de recherche collaborative dédiée à la communauté de recherche sur Hokusai. Tandis que les spécialistes de ressources japonaises reconnaissent depuis longtemps la complexité de l’écriture japonaise comme un défi pour la recherche multilingue et pour les plateformes de collection, les processus et les résultats de l’intégration des données sources japonaises dans des bases de données de musées bi- ou plurilingues demeurent insatisfaisants.Cet article réexamine les défis liés à des « écritures non-latines » (NLS, non-Latin script) dans des bases de données de musée dans le cas de la plateforme de recherche sur Hokusai au British Museum, ce qui a intégré les langues japonaise et anglaise. L’article localise les questions qui se posent durant le travail avec les données sources japonaises dans un environnement de projet en écriture latine et accompagne les tâches des chercheurs de musée concernant l’entrée correcte, le rendu et l’affichage de l’écriture source à chaque étape : 1) les analyses d’objet, 2) les enregistrements de métadonnées NLS, 3) le traitement de l’information NLS et 4) la visualisation de l’information LS (écriture latine, Latin script) et NLS pour des audiences générales et spécialistes. Cet article présentera une évaluation de ces pratiques et, ensuite, considérera de façon critique les approches sélectionnées, les succès et les défauts rencontrés pendant la création d’un tel prototype. En partageant ces expériences, ce projet vise à aider des projets de recherche prospectifs qui se trouvent dans un cas similaire, considérant la configuration de projets et la documentation. En outre, ce projet promeut la viabilité de pratiques de recherche conformément à des paramètres de réutilisation de données.

The Power of Visualization – Instilling Safety Excellence in Multinational Workforces at Wind Farm Construction Sites

The construction of wind farms involves a mixture of – often centrally deployed – highly specialized experts and local resources depending on the type of activity. The common denominator is that crews are increasingly multinational. For the prevention of accidents and adverse impacts, safety requirements have to be communicated to the workforce in a form which is adequate to the workforce composition and easy to deploy to remote worksites. Field work performed by the authors indicates that visual and/or digital tools for effective safety communication are not yet widely employed, and many field safety trainings and toolbox talks rely on written communication of rules with often repetitive content and no checks of effectiveness. Ways of effective field safety communication are analysed and an approach is presented for enhancing in-the-field conversations and toolbox talks for field sites with limited access to digital learning tools. Simple and easy-to-deploy visuals will remain to be important in-the-field aids for safety communication in remote areas, even as advanced immersive training methods become increasingly available. Any tools should be designed for or should be adaptable to the composition of workforces in terms of language skills, workers qualifications and demographic aspects such as age or diversity. Lastly, field safety communication and training should always be accompanied by personal interactions between workers and supervisors and/or peer multipliers to highlight the “why” behind safety, i.e. the role of every single individual for providing a sound and healthy operating environment and ultimately protecting human lives.

Management of Hypoplastic Left Heart Syndrome in Low-Resource Settings and the Ethics of Decision-Making.

Hypoplastic left heart syndrome (HLHS) is possibly the most challenging congenital heart defect to confront in any setting. The highly specialized infrastructure and resources needed to treat HLHS is not available in many low-resource settings. However, low-resource settings must not be assumed to be synonymous with low- and middle-income countries as national income is not necessarily indicative of a country's prioritization of healthcare resources. Besides, a low-resource setting may be institution-specific as well as country-specific. We have stratified institutional capabilities for addressing the requirements of treatment for HLHS into five levels based on the capacity for diagnosis, intervention, and post-discharge monitoring. Depending on institutional capabilities, children born with HLHS in low-resource settings experience a spectrum of outcomes ranging from death without diagnosis to the hybrid or Norwood stage 1 palliation. The decision-making is ethically challenging when resources are scarce and economic efficiency must be considered in the context of distributive justice. Even in settings that would be classified as resource-rich where survival after surgery and quality of life afterward keep improving, not every parent would choose surgical intervention for their hypothetical child with HLHS.

Systematic Review of Risk Factors Assessed in Predictive Scoring Tools for Drug-Related Problems in Inpatients.

Drug-related problems (DRP, defined as adverse drug events/reactions and medication errors) are a common threat for patient safety. With the aim to aid improved allocation of specialist resources and to improve detection and prevention of DRP, numerous predictive scoring tools have been proposed. The external validation and evidence for the transferability of these tools still faces limitations. However, the proposed scoring tools include partly overlapping sets of similar factors, which may allow a new approach to estimate the external usability and validity of individual risk factors. Therefore, we conducted this systematic review and analysis. We identified 14 key studies that assessed 844 candidate risk factors for inclusion into predictive scoring tools. After consolidation to account for overlapping terminology and variable definitions, we assessed each risk factor in the number of studies it was assessed, and, if it was found to be a significant predictor of DRP, whether it was included in a final scoring tool. The latter included intake of ≥ 8 drugs, drugs of the Anatomical Therapeutic Chemical (ATC) class N, ≥1 comorbidity, an estimated glomerular filtration rate (eGFR) <30 mL/min and age ≥60 years. The methodological approach and the individual risk factors presented in this review may provide a new starting point for improved risk assessment.

Inundation and Emergence at Pueblo Grande de Nevada, an Eleventh-Century Ancestral Puebloan Village

ABSTRACTThe development of large reservoirs in the western United States during the twentieth century inundated a diverse array of archaeological sites and other cultural resources. Land managers, cultural resource specialists, and other stakeholders have long been aware of the effects of inundation on archaeological sites, and they have sought to mitigate them by using various means at their disposal. In modern times, drought and climate change in the western United States have reduced the pool sizes of many reservoirs, including one of the largest, Lake Mead, which straddles the Arizona and Nevada border. This research presents the results of a two-year effort to study the direct and indirect effects of lacustrine-based processes at Lake Mead to a large eleventh-century prehistoric village, Pueblo Grande de Nevada. What are the processes that are most likely to damage archaeological sites and, conversely, what are those that may serve to preserve or protect them? The results of pedestrian inventory throughout the village, limited subsurface tests at certain loci, and intensive mapping at one habitation complex are used to evaluate and synthesize these effects.