Miracle-dz/UniFAR-FTUs huggingface dataset:
Relationship of Work Stress to the Performance of Intensive Care Unit Nurses in Makassar

Aim: This study aims to determine the relationship between work stress to the performance of Intensive Care Unit nurses in Makassar Hospital. Method: This is quantitative research with the observational method using cross-sectional study. Samples were taken as many as 36 people as respondents conducted by using proportionate random sampling. Data collected through observation, interview, and documentation by using questionnaires Perceived Stress Scale (PSS-10), and the data was analyzed through Gamma & Somer’s d test. Result: Female nurses in the ICU who suffered severe job stress, 91.7% have less performance, the correlation value of 0.522, significant with p-value = 0.001. Conclusion: This study shows that there is a relationship between work stress to the performance of Intensive Care Unit nurses in Makassar city hospitals. Lack of staff and lack of sleep regarded as physical stressors that can reduce the performance of ICU nurses.
Elementary English Learner Classroom Composition and Academic Achievement: The Role of Classroom-Level Segregation, Number of English Proficiency Levels, and Opportunity to Learn

Using mixed methods, we investigated (a) the association of the extent of English learner (EL) classroom-level segregation (proportion EL) and number of EL English proficiency levels with elementary EL academic achievement, using 2 years of administrative data, and (b) school staff–reported opportunity to learn–related advantages and disadvantages in segregated versus integrated compositions, using 3 years of interviews. Findings were corroborative across methods. After accounting for student-, classroom-, and school-level covariates, we found that ELs in more segregated classrooms exhibited lower performance, on average, on state tests of English language arts, mathematics, and English proficiency, and little evidence that classroom number of EL English proficiency levels was related to achievement. School staff consistently detailed the instructional, academic, and socio-emotional opportunities to learn afforded by the diversity/heterogeneity of integrated classrooms.
Hyaluronan as a predictive biomarker in recurrent renal stone formers

Recurrence of renal calculi after treatments such as extracorporeal shock wave lithotripsy (ESWL), percutaneous nephrolithotomy (PCNL) and surgeries, remains high. A viable diagnostic biomarker is needed to alert the patient and the clinician to monitor for stone recurrences. This study concentrates on idiopathic stone-formers (SF) and 6 groups of subjects were recruited with ActiveSF (preand posttreatments), Non-SF (with and without infection) for comparisons. Urine and blood samples were collected from the patients (with inclusion and exclusion criteria) from the hospital clinic and processed at the laboratory with ELISA and biochemical methods (electrophoresis and HPLC). 120 samples were collected amongst the 3 groups. The following demographics were obtained: Age-range (32 – 63 years old); Male: Female ratio (58: 42); Mean urinary pH 6.33 ± 0.23 (though in each group there are differential mean pH) and urinalysis done for all samples to verify the integrity of the samples. The first biomarker studied was the excretion of urinary glycosaminoglycans (GAGs). Chondroitin sulphate A/C (CS), dermatan sulphate (DS), heparin sulphate (HS) and hyaluronan (HA) were extracted and quantified. Active SF (prior treatment) had 70% positive indicator for GAGs and those SF (post treatment) had over 90% compared to the Normals. Other biomarkers (not reported here) under investigations are cytokines including NAG and MIP-1α. This study combines majority of the biomarkers in our study under a case-control investigation to suggest a potential and sensitive marker for recurrent SFs. Hyaluronan is one such candidate biomarker.
The Provision of Music in Special Education (PROMISE) 2015

The paper reports the outcomes of a national survey of music in special schools in England that was conducted in the summer of 2015. The survey sought to uncover the current state of affairs in the sector, whilst also allowing a comparison to be made with the findings of a related study undertaken at the end of the last century. The survey outcomes also provide contextual data to inform the design of a current wider national initiative to improve the overall effectiveness of music education in the UK for all children (the inspire-music project). In total, fifty-seven special schools responded to the on-line survey. Findings suggest that music is taught at least weekly to 95% of children aged 2–13 years (noting that 5–13 are the statutory ages for music in mainstream schools), with slightly smaller proportions for 14–16 yearolds (83%), an age group for whom music becomes an optional subject in mainstream schools, and less for the oldest age group (66% of 16–19 year-olds). Eighty per cent of schools reported that they employed a specialist music teacher, which appears to be a much higher proportion of musically qualified staffing than almost two decades earlier. Where schools have a formal music curriculum, over half (59%) report that this is specially designed and adapted from existing models, such as the new Sounds of Intent framework. Music was also reported to be a common element in other lessons by 3:4 schools, and common at lunchtimes/break times (2:3). Regular and systematic input from outside music agencies was reported to be relatively common (3:4 schools). Four-fifths of schools had a dedicated music room, and music technology use was commonplace. Music therapy was reported to be available in 1:3 schools, a similar proportion to 1999–2000, but for relatively double the numbers of children (11%, compared to 5% earlier). In addition, virtually all schools (96%) reported children with a particular interest in music and almost all schools felt that music was important. The detailed data imply a clear positive shift since the late 1990s, with more musically qualified staffing, a broader range of resources for the music curriculum, more external organisations available to support music, increased use of music technology and improved music therapy provision. Nevertheless, given the small number of schools responding to the survey compared to those in total within the special schools sector, it is not yet possible to confirm that all children have access to an effective music education.
Comparing the Productive Effects of Cash and Food Transfers in a Crisis Setting: Evidence from a Randomised Experiment in Yemen

Abstract The productive impacts of transfer programmes have been receiving increased attention. However, little is known about such effects in emergency and crisis settings. Even less is known about whether transfer type – a food basket or a cash grant – influences the productive potential of such transfers. Theory suggests that cash transfers can relieve liquidity constraints associated with investments, but subsidised food provision, by acting as a form of insurance, may prevent households from retreating to conservative income-generating strategies during volatile periods. This report contrasts the effects of transfer modality during a randomised field experiment in Yemen. The results demonstrate a modest productive impact of both modalities and suggest a role for liquidity and price risk channels. Cash transfer recipients invested relatively more in activities with higher liquidity requirements (livestock), while food recipients incorporated higher-return crops into their agricultural portfolios.
Chinese Eastern Industrial Zone in Ethiopia: unpacking the enclave

Abstract This paper examines China’s engagement with Africa through economic zones (EZs). It moves beyond the conceptualisation of EZs as undifferentiated enclaves of foreign investment to a dynamic perspective on the locally negotiated process of zone development. Such a perspective entails critical unpacking of the specific zone regime to understand the diverse and evolving relationships among different state and non-state actors. Drawing upon empirical research on the Eastern Industrial Zone (EIZ) in Ethiopia, we explore the complex process of learning and adaptation by government, developers, investors, and workers throughout the development of a zone regime, with specific attention to capital–labour and expatriate–local relations. We find that despite the EIZ being a state-level cooperation project, private Chinese developers work diligently with the Ethiopian government to improve the institutional support for EZs. Chinese investors also collectively generate a management regime to enhance their overseas operational capacity and experiment with various tactics to transform local recruits into an industrial workforce. Local workers, with limited protection by official labour unions, turn to individual- and group-based agency to improve their working conditions. Despite the momentum created by multiple stakeholders, there are concerns regarding the long-term contributions of EZs to engender sustained industrial transformation and skills development.
Inter-Comparison of AIRS Temperature and Relative Humidity Profiles with AMMA and DACCIWA Radiosonde Observations over West Africa

The vertical profiles of temperature and water vapour from the Atmospheric InfraRed Sounder (AIRS) have been validated across various regions of the globe as an effort to provide a substitute for radiosonde observations. However, there is a paucity of inter-comparisons over West Africa where local convective processes dominate and radiosonde observations (RAOBs) are limited. This study validates AIRS temperature and relative humidity profiles for selected radiosonde stations in West Africa. Radiosonde data were obtained from the AMMA and DACCIWA campaigns which spanned 2006–2008 and June–July 2016 respectively and offered a period of prolonged radiosonde observations in West Africa. AIRS performance was evaluated with the bias and root mean square difference (RMSD) at seven RAOB stations which were grouped into coastal and inland. Evaluation was performed on diurnal and seasonal timescales, cloud screening conditions and derived thunderstorm instability indices. At all timescales, the temperature RMSD was higher than the AIRS accuracy mission goal of ±1 K. Relative humidity RMSD was satisfactory with deviations <20% and <50% for both lower and upper troposphere respectively. AIRS retrieval of water vapour under cloudy and cloud-free conditions had no significant difference whereas cloud-free temperature was found to be more accurate. The seasonal evolution of some thunderstorm convective indices were also found to be comparable for AIRS and RAOB. The ability of AIRS to capture the evolution of these indices imply it will be a useful dataset for the African Science for Weather Information and Forecasting Techniques (SWIFT) high impact weather studies.
How Does Mode of Qualitative Data Collection Affect Data and Cost? Findings from a Quasi-experimental Study

Internet-based platforms are increasingly used to collect qualitative data. We conducted a quasi-experimental study to explore whether data collection mode affects data content and data collection costs. Participants (N = 171) were assigned systematically to one of four modes—(1) in-person (control), (2) online video–based, (3) online chat–based, (4) online e-mail/message board-based—and randomized to individual interview (IDI) or focus group (FG). We conducted 48 IDIs and 24 FGs about medical risk during pregnancy with women in the southeast United States. We found audiovisual (in-person and online video) modes generated significantly greater volumes of data than online text–based modes. However, there were no significant differences in the thematic content among modes, for IDIs or FGs. Online data collection generally cost more per event without travel; in-person IDIs/FGs were more expensive if including travel. Findings offer empirical data for considerations of online versus in-person qualitative data collection.
The impact of offshoring on firm's exports

espanolEl offshoring es una estrategia que se utiliza ampliamente para reducir costes, aumentar la productividad y flexibilidad de las empresas. En consecuencia, busca mejorar la posicion competitiva de la empresa en sus mercados. Partiendo de la literatura de la economia internacional, la vision de la empresa basada en los recursos y la teoria de los costes de transaccion, se plantea que el offshoring ayuda a las empresas a exportar, no solo por el aumento en su productividad y flexibilidad sino por proporcionar conocimiento y experiencia sobre los mercados extranjeros. Desde este marco se presenta un estudio empirico sobre empresas manufactureras espanolas que confirma que las empresas que hacen offshoring exportan mas y que este efecto es mayor en las empresas pequenas que en las grandes. EnglishOffshoring is a strategy that has been widely used as a mean to reduce costs, increase firms’ productivity and flexibility. Consequently, it is aimed to improve the competitive situation of the firm in its markets. But beyond this effect, we depart from international business literature, the resourcebased view and transaction cost economics to argue that offshore helps firms to export, not only because it increases its productivity and flexibility but because it provides some knowledge and expertise to develop themselves in international markets. Departing from this framework, we present an empirical study over Spanish manufacturers that confirms that firms that offshore export more, and that this extra effect is larger in small firms than in large ones.
National and cross-national surveys of patient experiences: a structured review

ponent of health services evaluation. Several countries now have programs of work that include national surveys of patients undertaken at regular intervals. The identification and review of large scale surveys of patient experiences including programs of work, will inform the organisation and design of future surveys aimed at comparing patient views of health care quality across countries. Objective: To identify and review national and cross-national surveys, including programs of work relating to patient experiences and satisfaction. Methods: Structured review of national and cross-national surveys of patient experiences or satisfaction for OECD and non-OECD European Union member countries undertaken from 1997 onwards. All patient groups and general population surveys were included. Searches of electronic databases and the web were undertaken and a link to an electronic questionnaire was sent to contact persons identified by the OECD. Published articles relating to national and cross-national surveys of patient experiences or satisfaction with health care were retrieved National and cross-national surveys of patient experiences: a structured review Report from Kunnskapssenteret (Norwegian Knowledge Centre for the Health Services) No 7–2008 Structured Review
The cue-reactivity paradigm: An ensemble of networks driving attention and cognition when viewing drug and natural reward-related stimuli

Background The cue-reactivity paradigm is a widely adopted neuroimaging probe engendering brain activity linked with attentional, affective, and reward processes following presentation of appetitive stimuli. Given the multiple mental operations invoked, we sought to decompose cue-related brain activity into constituent components employing emergent meta-analytic techniques when considering drug and natural reward-related cues. Methods We conducted multiple coordinate-based meta-analyses delineating common and distinct brain activity convergence across cue-reactivity studies (N=196 articles) involving drug (n=133) or natural reward-related (n=63) visual stimuli. Subsequently, we characterized the connectivity profiles of identified brain regions by using them as seeds in task-independent and task-dependent functional connectivity analyses. Using hierarchical clustering on these connectivity profiles, we grouped cue-related brain regions into subnetworks. Functional decoding was then employed to characterize mental operations linked with each subnetwork. Results Across all studies, pooled activity convergence was observed in the striatum, amygdala, thalamus, cingulate, insula, and multiple frontal, parietal, and occipital regions. Drug-distinct convergence (drug>natural) was observed notably in the posterior cingulate cortex (PCC), dorsolateral prefrontal cortex (dlPFC), and temporal and parietal regions, whereas distinct natural reward convergence (natural>drug) was observed in thalamic, insular, orbitofrontal, and occipital regions. Hierarchical clustering using each regions’ connectivity profiles identified six subnetworks, involving: 1) occipital and thalamic (lateral geniculate nucleus) regions functionally linked with early visual processing, 2) occipital-temporal regions associated with higher level visual association, 3) parietal-frontal regions linked with cognitive control mechanisms, 4) posterior and ventral insula as well as anterior cingulate cortex (ACC) functionally linked with salient event detection, 5) nucleus accumbens, PCC, precuneus, ACC, and thalamus (mediodorsal) associated with subjective valuation, and 6) bilateral amygdalae, orbitofrontal, and dorsal insula regions linked with affective processes. Conclusions These outcomes suggest multifaceted brain activity during the cue-reactivity paradigm can be decomposed into more elemental processes and indicate that while drugs of abuse usurp the brain’s natural reward processing system, some regions appear distinctly related to drug cue-reactivity (e.g., PCC, dlPFC).
A process perspective on research and design issues in educational personalization

This article proposes that educational personalization may be usefully understood from a process perspective. It defines educational personalization as that which occurs within any planning or decision-making process which runs for one student at a time, and uses information from or about individual students, in order to output educational plans and decisions for them. Importantly, understanding personalization as a process illuminates what it is that we design when we design for personalized education (that is, planning and decision-making processes) – and helpfully suggests familiar process-analytic vocabulary (e.g. ‘trigger’, ‘agent’, ‘rules’) for describing the further designable elements of those processes. It is argued that this simple, inclusive definition forms a consensus point from which to conduct research and design conversations about personalized education. In particular, it allows for the orderly comparison of diverse designs, toward increasing our knowledge of what makes for ‘good’ personalization.
Robust Malware Defense in Industrial IoT Applications Using Machine Learning With Selective Adversarial Samples

Industrial Internet of Things (IIoT) deploys edge devices to act as intermediaries between sensors and actuators and application servers or cloud services. Machine learning models have been widely used to thwart malware attacks in such edge devices. However, these models are vulnerable to adversarial attacks where attackers craft adversarial samples by introducing small perturbations to malware samples to fool a classifier to misclassify them as benign applications. Literature on deep learning networks proposes adversarial retraining as a defense mechanism where adversarial samples are combined with legitimate samples to retrain the classifier. However, existing works select such adversarial samples in a random fashion which degrades the classifier's performance. This work proposes two novel approaches for selecting adversarial samples to retrain a classifier. One, based on the distance from malware cluster center, and the other, based on a probability measure derived from a kernel-based learning (KBL). Our experiments show that both of our sample selection methods outperform the random selection method and the KBL selection method improves detection accuracy by 6%. Also, while existing works focus on deep neural networks with respect to adversarial retraining, we additionally assess the impact of such adversarial samples on other classifiers and our proposed selective adversarial retraining approaches show similar performance improvement for these classifiers as well. The outcomes from the study can assist in designing robust security systems for IIoT applications.
Factors Influencing Hemodialysis Unit Nurses’ Compliance with Standard Precautions using Hierarchical Linear Modeling

This is an open access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/ by-nc/3.0), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. Korean Journal of Adult Nursing Vol. 30 No. 2, 161-170, April 2018 pISSN 1225-4886 / eISSN 2288-338X https://doi.org/10.7475/kjan.2018. 30.2. 161
Enhanced Ontology Matching for Big Data Integration

ontology matching (OM) is a critical process for many disciplines. It aims at identifying the semantic correspondences among different ontologies that are merged for data integration. Unfortunately, OM still faces challenges, especially, in the big data integration (BDI) area. The high degree of semantic heterogeneity problem prevents the integration of relevant data and increased with large-scale ontologies of BDI. The quality of OM still needs more improvements to cope with BDI applications. So, this paper proposes a semantic OM approach called semantic matcher. It achieves the goals of semantic heterogeneity resolving and the quality improvement. It exploits the semantic similarity based on the word embedding model. The word embedding model provides efficient distribution semantic representation of domain words as vectors based on their context. The applicability of the proposed semantic matcher is evaluated through an experiment. The conference and anatomy gold standard datasets are evaluating the experimental results. Accuracy evaluates the quality through the precision, recall, and F-measure measures. Based on the experimental results evaluation, the proposed semantic matcher is promising and efficient in the semantic OM for BDI.