Miracle-dz/UniFAR-FTUs huggingface dataset:
Psychometric testing of the Indonesian version of the Nurses’ Ethical Behavior in Protecting Patients’ Rights (I-NEBPPR) scale

Background Nurses routinely encounter ethical dilemmas with patients and healthcare professionals. Therefore, it is crucial for them to be conscious of ethical principles and apply them in their decision-making processes. However, no specific questionnaire is available to assess nurses’ ethical conduct in Indonesia. Objective This study aimed to assess the psychometric properties of the Indonesian version of the Nurses’ Ethical Behavior in Protecting Patients’ Rights (I-NEBPPR) scale. Methods Following the World Health Organization’s guidelines and utilizing the WHODAS 2.0 translation package, the NEBPPR was translated into Bahasa Indonesia and underwent a rigorous translation and adaptation process. Data were collected between October and November 2022 and included 283 Indonesian nurses as participants. Confirmatory factor analysis (CFA) was used to evaluate construct validity. Convergent validity, discriminant validity, and reliability were also performed for comprehensive evaluation. IBM SPSS statistics version 27.0 and AMOS 24.0 were used for statistical analysis. Results Five items were excluded from the original versions, forming five subscales that include a combined total of 23 items. The subscales are as follows: Factor 1 (Respect for right to information and decision), Factor 2 (Providing fair care), Factor 3 (Providing benefit-not harming), Factor 4 (Respect for patient values and choices), and Factor 5 (Attention to privacy). The I-NEBPPR model demonstrated robust construct validity with factor loadings ranging from 0.453 to 0.871. CFA showed satisfactory model fit indices (χ2/df = 1.554 (p <0.001), GFI = 0.906, CFI = 0.929, IFI = 0.930, RMSEA = 0.044). Reliability metrics were solid, with a Cronbach’s alpha of 0.819 and composite reliability exceeding 0.6. Both convergent validity, as indicated by AVE, and discriminant validity, as confirmed by the Fornell-Larcker criterion, met established thresholds. Conclusion It is affirmed that the 23-item I-NEBPPR demonstrated strong psychometric properties, making it a valuable, practical, and time-efficient tool for nurse supervisors, nurse managers, and nurse leaders to assess nurses’ clinically-based ethical behavior in their efforts to protect patient’s rights.
Hydroids (Hydrozoa: Leptothecatae) from the Beagle Gulf and Darwin Harbour, Northern Australia

Nine species of athecate hydroids collected in two surveys in the Northern Territory of Australia include a new species of Ralpharia Watson, 1980, and a new record of Corydendrium parasiticum (Linnaeus, 1767) from Australia. Other species in the collection are known from warm temperate to tropical world regions including Western Australia and Queensland, the Timor Sea and Torres Strait.
Development of an error classification system for Malaysian primary care

Worldwide, medical errors occur at an unacceptable rate. Fortunately, various steps can be taken to minimise medical errors, including submitting reports to incident reporting systems, following which incidents can be categorised using error classification systems to inform risk management strategies. To this end, a diverse range of classification systems have been developed for different healthcare settings, but primary care in Malaysia has received limited attention. This study was carried out to develop an error classification system for categorising the type of medical errors in Malaysian primary care by integrating and modifying two primary care error classification systems. The new error classification system comprised of eleven major categories that branched into a total of 60 lower categories. After 107 participants analysed three cases studies, the inter-rater reliability of the 11 major categories were found to be low (Krippendorff‘s alpha = 0.347). Unsurprisingly, the 60 lower categories had an even lower inter-rater reliability (Krippendorff‘s alpha = 0.143). The participants then provided feedback about the error classification system by completing a modified questionnaire. Most of the participants viewed the error classification system as easy to use and understand. Furthermore, most of them would be willing to use the error classification system again in the future. In summary, this study successfully developed an error classification system for Malaysian primary care. Nevertheless, its low level of reliability would need to be addressed before the system can be adopted by primary care providers.
Exploratory Spatiotemporal Analysis in Risk Communication during the MERS Outbreak in South Korea

The 2015 Middle East respiratory syndrome (MERS) outbreak in South Korea gave rise to chaos caused by psychological anxiety, and it has been assumed that people shared rumors about hospital lists through social media. Sharing rumors is a common form of public perception and risk communication among individuals during an outbreak. Social media analysis offers an important window into the spatiotemporal patterns of public perception and risk communication about disease outbreaks. Such processes of socially mediated risk communication are a process of meme diffusion. This article aims to investigate the role of social media meme diffusion and its spatiotemporal patterns in public perception and risk communication. To do so, we applied analytical methods including the daily number of tweets for metropolitan cities and geovisualization with the weighted mean centers. The spatiotemporal patterns shown by Twitter users' interests in specific places, triggered by real space events, demonstrate the spatial interactions among places in public perception and risk communication. Public perception and risk communication about places are relevant to both social networks and spatial proximity to where Twitter users live and are interpreted in reference to both Zipf's law and Tobler's law.
CAPTURA Regional Workshop Proceedings (28–30 June 2022, Virtual)

Abstract In response to the global threat of antimicrobial resistance (AMR), the Capturing Data on Antimicrobial Resistance Patterns and Trends in Use in Regions of Asia (CAPTURA) project worked with microbiology laboratories, pharmacies, and local governments in South Asia and Southeast Asia to expand the volume of historical and current data available on AMR and antimicrobial use and to identify gaps in data and areas for quality improvement. When the CAPTURA project completed its country-level engagement in the first half of 2022, the consortium brought together local, regional, and global AMR stakeholders for a virtual regional workshop to review data outputs from the project and share strategies to inform national and regional efforts to combat AMR. This paper summarizes the main topics presented in the workshop held from 28 to 30 June 2022. As such, it highlights lessons learned from the project and strategies to fight AMR. Although CAPTURA has been invaluable to countries and information from the project is already being used, barriers concerning data quality and sharing remain. Regional-level initiatives should continue to build on the momentum gained from the CAPTURA project in supporting national-level surveillance and data quality improvements to inform critical decisions around planning, policies, and clinical care. Project findings have highlighted that issues with antimicrobial resistance and use are wide ranging across countries. Going forward, building on the current foundations and tailoring approaches to meet local needs and capacities will be fundamental in combatting AMR.
Association between use of antihypertensives and cognitive decline in the elderly—A retrospective observational study

Aim Mild cognitive impairment (MCI) is the prodromal phase of dementia. The objective of this study was to determine whether specific antihypertensives were associated with conversion from MCI to dementia. Methods In this retrospective study, a chart review was conducted on 335 older adults seen at the University of Alberta Hospital, Kaye Edmonton Seniors Clinic who were diagnosed with MCI. At the point of diagnosis, data was collected on demographic and lifestyle characteristics, measures of cognitive function, blood pressure measurements, use of antihypertensives, and other known or suspected risk factors for cognitive decline. Patients were followed for 5.5 years for dementia diagnoses. A logistic regression analysis was then conducted to determine the factors associated with conversion from MCI to dementia. Results Mean age (± standard deviation) of the study participants was 76.5 ± 7.3 years. Patients who converted from MCI to dementia were significantly older and were more likely to have a family history of dementia. After controlling for potential confounders including age, sex, Mini Mental Status Exam scores and family history of dementia, patients who were on beta-blockers (BBs) had a 57% reduction in the odds of converting to dementia (OR: 0.43, 95% CI: 0.23, 0.81). Conclusions In this study, BB use was protective against conversion from MCI to dementia. Further studies are required to confirm the findings of our study and to elucidate the effect of BBs on cognitive decline.
Do internship students do well in a clinical environment? A qualitative naturistic study

Background The internship year marks the culmination of the nursing program across all Saudi universities, bridging theoretical learning and practical application. The significance of the internship year lies in the application of skills acquired during the preceding years of study. Understanding interns’ experiences, identifying influences, and sharing their recommendations for best practices become crucial. Objective This study aimed to explore the experiences of internship students and address the challenges they encountered in a clinical environment. Methods A qualitative naturistic descriptive approach was employed, involving 20 purposively selected participants from internship students in two regions in Saudi Arabia. Data were collected in January 2023 through semi-structured interviews, focus group discussions, and observation. A conventional content analysis approach was used for data analysis. Results Four major themes were generated: 1) Transferring Shock, 2) Self-Learning, 3) Supportive Environments, and 4) Factors Facilitating Learning. Transferring Shock comprised two subthemes: feeling lost and feeling left out. Conclusion Internship students acknowledged the utility of orientation and mentorship programs in advancing the practical skills of new nurses and enhancing patient safety. The findings also indicated that those with prior preparation and robust communication skills reported a positive experience. Consequently, integrating communication courses into the nursing education curriculum could be beneficial. Establishing a supportive learning environment for nursing interns is imperative to address challenges and ensure the delivery of safe and effective patient care.
Dynamic capabilities in the software and information services industry. A case-study analysis in Argentina from a business model perspective

ABSTRACT This study explores the relation between the strategies and business models (BM) configurations and the capability-augmenting efforts pursued software and information services (SIS). Through a multiple case-study research design, examining four SIS firms operating in Argentina, it seeks to understand, in particular, the nature of the dynamic capabilities (DC) developed by these firms, i.e. their ability to integrate, reconfigure and enlarge their base of strategic resources and ordinary capabilities. The findings of the study shed light on the two-way relation between the components of the BM and the nature DC. In the case of standardized product-oriented strategies, firms privilege integrating ‘sense’ DC to grasp market's needs and demands with ‘seize’ DC to develop products able to exploit commercialization opportunities. In service-oriented strategies, ‘sense’ DC are focused on the identification of the features among the wide variety of customers’ demands which are scalable. Whereas ‘seize’ DC are rather focused on project management skills to integrate the architectures and accumulated reusable pieces of codes with capabilities to continuous improvement processes.
A preliminary study on fluid rock interactions of the hot fractured rock geothermal system in Cooper Basin, South Australia

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Ionic liquid templated novel porous anionic cobalt(II) coordination framework based on rod-shaped metal-carboxylate chains

Abstract A novel porous anionic cobalt(II) coordination framework based on rod-shaped metal-carboxylate chains, [BMI][Co3(L)2(HCOO)(H2O)2] (1) (H3L = 3,4-bi(4-carboxyphenyl)-benzoic acid, [BMI]Br = 1-butyl-3-methylimidazolium bromide), has been prepared under the combination of solvothermal and ionothermal syntheses. [BMI]Br ionic liquid play a structure directing role and [BMI]+ cation is occluded into the ultimate structure. Complex 1 possesses 1D channels (11.4 × 13.6 Å) constructed by 1D cobalt(II)-carboxylate secondary building unit (SBU) and H3L ligands. The study suggests that [BMI]Br, the kind of molecular solvents as well as the anion of the cobalt(II) salts all play key roles in the formation of the title anionic framework.
Three-Dimensional Structural Model Building, Induced Seismicity Analysis, Drilling Analysis and Reservoir Management at The Geysers Geothermal Field, Northern California

A three-dimensional structural model of The Geysers geothermal field is being developed by Calpine Corporation using Paradigm Geophysical SKUA GOCAD software originally designed for the oil and gas industry. Structural model building constraints include lithology logs, surface geologic maps and seismicity hypocenters available from the Northern California Earthquake Data Center (NCEDC) and Lawrence Berkeley National Laboratory (LBNL), as well as temperature logs, pressure logs, tracer analysis patterns, heat flow patterns, and reservoir history matching. A field-wide ArcGIS digital surface map compiled in 2014 from existing hard copy surface geology maps and refined in 2015 now provides improved constraint on the surface-to-subsurface structural relationships. Recent advances to the SKUA GOCAD 3D seismicity analysis software include the ability to perform synchronized time animation of water injection volumes and induced seismicity hypocenters at any time interval. This provide an additional and substantial constraint on structural model building through enhanced visualization of the spatiotemporal relationships between water injection, induced seismicity and fracture orientations at The Geysers. The result is a refined understanding of structural relationships, fluid flow paths, fluid boundaries, reservoir heterogeneity and compartmentalization at The Geysers. We can now demonstrate that The Geysers reservoir is subdivided by intersecting zones of faulting and fracturing, the majority of which are oriented NNW-SSE and ENE-WSW and sometimes expressed in the surface geology. The 3D structural model development is part of a program to honor a vast collection of field data and more closely link geoscience, reservoir engineering and drilling. This is anticipated to contribute to reservoir management and induced seismicity mitigation efforts at The Geysers.
PRKAG2.2 is essential for FoxA1+ regulatory T cell differentiation and metabolic rewiring distinct from FoxP3+ regulatory T cells

Forkhead box A1 (FoxA1)+ regulatory T cells (Tregs) exhibit distinct characteristics from FoxP3+ Tregs while equally effective in exerting anti-inflammatory properties. The role of FoxP3+ Tregs in vivo has been challenged, motivating a better understanding of other Tregs in modulating hyperactive immune responses. FoxA1+ Tregs are generated on activation of the transcription factor FoxA1 by interferon-β (IFNβ), an anti-inflammatory cytokine. T cell activation, expansion, and function hinge on metabolic adaptability. We demonstrated that IFNβ promotes a metabolic rearrangement of FoxA1+ Tregs by enhancing oxidative phosphorylation and mitochondria clearance by mitophagy. In response to IFNβ, FoxA1 induces a specific transcription variant of adenosine 5′-monophosphate–activated protein kinase (AMPK) γ2 subunit, PRKAG2.2. This leads to the activation of AMPK signaling, thereby enhancing mitochondrial respiration and mitophagy by ULK1-BNIP3. This IFNβ-FoxA1-PRKAG2.2-BNIP3 axis is pivotal for their suppressive function. The involvement of PRKAG2.2 in FoxA1+ Treg, not FoxP3+ Treg differentiation, underscores the metabolic differences between Treg populations and suggests potential therapeutic targets for autoimmune diseases.
Does the interplay of emotion-related personality traits and reproductive hormones predict individual variation in emotion recognition?

Person-related variation has been identified in many socio-cognitive domains, and there is evidence for links between certain personality traits and individual emotion recognition. Some studies, utilizing the menstrual cycle as a hormonal model, attempted to demonstrate that hormonal fluctuations could predict variations in emotion recognition, but with merely inconsistent findings. Remarkably, the interplay between hormone fluctuations and other person-related factors that could potentially influence emotion recognition remains understudied. In the current study, we examined if the interactions of emotion-related personality traits, namely openness, extraversion, and neuroticism, and the ovulatory cycle predict individual variation in facial emotion recognition in healthy naturally cycling women. We collected salivary ovarian hormones measures from N = 129 (n = 72 validated via LH test) women across their late follicular and mid-luteal phases of the ovulatory cycle. The results revealed a negative association between neuroticism scores and emotion recognition when progesterone levels (within-subject) were elevated. However, the results did not indicate a significant moderating influence of neuroticism, openness, and extraversion on emotion recognition across phases (late follicular vs. mid-luteal) of the menstrual cycle. Additionally, there was no significant interaction between openness or extraversion and ovarian hormone levels in predicting facial emotion recognition. The current study suggests future lines of research to compare these findings in a clinical setting, as both neuroticism and ovarian hormone dysregulation are associated with some psychiatric disorders such as premenstrual dysphoric disorder (PMDD).
Enhancing Localization Accuracy in Wireless Sensor Networks using Range-free methods and RSS Measurements

Localization is a significant feature in the area of wireless sensor networks (WSNs). Localization is computed through relation between localized node and unlocalized node for examining their physical placement or location. Location can be calculated by means of distance or length and angle between nodes. To find the position of the node, we should find the distance between the anchor nodes (sensor nodes with known locations i.e., localized node) and unlocalized nodes. Distance and angle calculated for the sensors is used to estimate the location of the nodes individually and they directly communicate with anchor nodes. Anchor nodes are used because localization is a crucial procedure for randomly deployed wireless sensor networks. So, localization depends on anchor nodes to automatically acquire their positions in global coordinates. Based on the non-collaborative approach, the sensor nodes cannot position themselves if they are not directly connected to a available number of known anchor nodes, which might be hard as the communication range is less and inaccessible anchor nodes. So, in order to significantly enhance the localization accuracy, mobility aided localization problems are investigated in non-stationary cooperative WSNs. To overcome this problem, we have proposed the mobility-aided localization framework using the range-free methods and Received Signal Strength (RSS) measurement techniques, to enhance the localization accuracy.
Dimension Effect on Plate Load Test Results

Footing size effect of shallow foundations in sand is investigated in this paper. Three plate load tests were carried out on a sand backfill using plates with diameters of 0.30, 0.5 and 0.80 m. The stress-settlement curves obtained with the tests did not show a clear failure pattern, therefore, conventional failure criteria were used to determinate the bearing capacity. The conventional failure criteria showed different behaviors in respect of the dependence of bearing capacity in relation to the increasing of plate size. For a constant applied stress, settlement increases with increasing plate size. However, settlement values presented a nonlinear behavior with plate size. Housel’s three-plate method was used to determinate allowable stresses. The results showed the decrease of the allowable stress as plate dimension increases.
Adapting Open: Exploring the Effective Use of Open Data in the Region of Waterloo

Adapting Open: Exploring the Effective Use of Open Data in the Region of Waterloo Cody Skinner Advisor: University of Guelph, 2014 Professor Helen Hambly Odame This thesis explored the use of open data in the Region of Waterloo, using assessments of adaptive capacity as a hypothetical use case. Key informant interviews and a systematic review of grey literature were used to survey current perceptions of challenges to the use of open data in small and rural communities. The challenges identified using these methods fell on both the user and supply sides of the open data community of interest, and were presented within three categories: know-how, infrastructure and resources. An inventory of datasets available from relevant levels of government was evaluated for characteristics described in the study's adapted framework for effective use of open data. The three open data portals examined in the thesis were all found to contain data relevant to the case study. However, each portal had strengths and weaknesses when evaluated using the study's framework for effective use of open data. Table of