Miracle-dz/UniFAR-FTUs huggingface dataset:
Preceptorship vs. clinical models of learning: The experiences of Bahraini nursing students

Background: Different models of teaching and learning are used to produce competent skilled clinical nurses. Some are traditional clinical teaching methods while others are grounded in preceptorship principles of mentoring. Knowledge regarding student nurses’ experiences of preceptorship and its meaning for them can enhance the understanding of stakeholders in academia and practice to the needs of senior nursing students’ and can offer them guidance to construct a more efficient approach to clinical teaching. Objective: The aim of the study was to explore the lived experiences of senior student nurses of preceptorship, while on clinical placements , with the objectives of describing their experiences and their relations with preceptors and also to illustrate the factors that facilitated or hindered the clinical learning process. Methods: A phenomenological hermeneutical inquiry was utilized. Data collection was conducted using semi-structured interviews with ten purposively chosen senior nursing students. Smith’s Interpretative Phenomenological Analysis (IPA) was used as a framework for data analysis. Results: Students’ lived experiences of preceptorship were mainly positive. Three main themes were identified: (1) Role Model Identification; (2) Team Integration; (3) Interpersonal Professional and Structural Challenges. The findings showed that preceptor relationships shaped the acquisition of skills and knowledge of student nurses’ during their clinical placements. Conclusions: The findings illustrate the importance of collaboration between the academy and practice in providing support for student nurses and their preceptors. In addition, careful selection, comprehensive training and rewards for preceptors can enhance and facilitate student nurses’ learning.
Current account and relative prices: cointegration in the presence of structural breaks in emerging economies

The aim of this study is to examine the long-run relationship between the current account and relative prices such as terms of trade and real exchange rate for the emerging economies. These variables have been exposed to large fluctuations for more than the last two decades nearly in all emerging economies. Therefore, structural breaks have to be taken into account in estimations. Therefore, the recent panel cointegration method developed by Westerlund (2006) was applied to the current account model allowing for structural breaks. The estimations of unit root tests proposed by Levin et al. (2002), Im et al. (2003) and by Hadri (2000) provided the evidence of the unit root existence in our series. The Hansen’s (1992) stability test illustrated the instability exist in series except for the cases of India and Turkey. The Westerlund (2006) cointegration test estimations detected multiple structural shifts in every panel case; however, the hypothesis of cointegration in the panel could not be accepted by the Lagrange Multiplier statistics.
Abnormal Behavior Analysis in Office Automation System within Organizations

Insider threat is a serious and increasing concern for many organizations. The group of individuals who operate within the organization have access to highly confidential and sensitive information, however, if they choose to act against the organization, with their privileged access authority and their extensive knowledge, they are well positioned to cause serious damage. Compared with vast amounts of normal daily operations, malicious behaviors are indeed small probability events, and are easily ignored. Thus, there is a desperate need to explore an effective approach to detect such suspicious behaviors. In order to solve this problem, we propose a two-stage algorithm to detect anomaly through analyzing user behavior based on activity log data collected in a real office automation system. In the first stage, we compare users’ behavioral activities with activities of his/her belonging role, and in the second stage, we compare individual behavioral activities with his/her activities in a window period. By adopting several effective features to describe users’ regular behavioral patterns, the analyst is capable of refining underlying abnormal users and abnormal periods to better support the network security administration.
Workplace Spirituality, Self-esteem, and Psychological Well-being Among Mental Health Professionals

The aim of the present study was to explore the relationship between workplace spirituality, self esteem and psychological well being and to investigate the predictors of psychological well-being in mental health professionals. The participants were consisted of 120 mental health professionals which includes 30 psychiatrists with mean age 36.3 (SD = 10.8), 30 psychologists with mean age 33.3 (SD = 8.9), 30 nurses with mean age 31.1 (SD = 10.0) and 30 attendants with mean age (M = 34.9, SD = 10.7) were recruited from different Hospitals and Clinics of Lahore. Purposive Sampling technique was employed in the study. Instruments used in the study were: Spirituality at Work (Ashmos and Duchon, 2000). Rosenberg Self Esteem Scale (Rosenberg, 1965) and Ryff Psychological Well Being Scale (Ryff, 1989). The results of the study revealed significant positive association of workplace spirituality and self esteem with psychological well-being among mental health professionals. Self esteem and workplace spirituality were predictors of psychological well being.
Diversity of luciferase sequences and bioluminescence production in Baltic Sea Alexandrium ostenfeldii

The toxic dinoflagellate Alexandrium ostenfeldii is the only bioluminescent bloom-forming phytoplankton in coastal waters of the Baltic Sea. We analysed partial luciferase gene (lcf) sequences and bioluminescence production in Baltic A. ostenfeldii bloom populations to assess the distribution and consistency of the trait in the Baltic Sea, and to evaluate applications for early detection of toxic blooms. Lcf was consistently present in 61 Baltic Sea A. ostenfeldii strains isolated from six separate bloom sites. All Baltic Sea strains except one produced bioluminescence. In contrast, the presence of lcf and the ability to produce bioluminescence did vary among strains from other parts of Europe. In phylogenetic analyses, lcf sequences of Baltic Sea strains clustered separately from North Sea strains, but variation between Baltic Sea strains was not sufficient to distinguish between bloom populations. Clustering of the lcf marker was similar to internal transcribed spacer (ITS) sequences with differences being minor and limited to the lowest hierarchical clusters, indicating a similar rate of evolution of the two genes. In relation to monitoring, the consistent presence of lcf and close coupling of lcf with bioluminescence suggests that bioluminescence can be used to reliably monitor toxic bloom-forming A. ostenfeldii in the Baltic Sea.
Attribute Overlap Minimization and Outlier Elimination as Dimensionality Reduction Techniques for Text Classification Algorithms

Text classification is the task of assigning free text documents to some predefined groups. Many algorithms have been proposed; in particular, dimensionality reduction (DR) which is an important data pre-processing step has been extensively studied. DR can effectively reduce the features representation space which in turn helps improve the efficiency of text classification. Two DR methods namely Attribute Overlap Minimization (AOM) and Outlier Elimination (OE) are applied for downsizing the features representation space, on the numbers of attributes and amount of instances respectively, prior to training a decision model for text classification. AOM works by swapping the membership of the overlapped attributes (which are also known as features or keywords) to a group that has a higher occurrence frequency. Dimensionality is lowered when only significant and unique attributes are describing unique groups. OE eliminates instances that describe infrequent attributes. These two DR techniques can function with conventional feature selection together to further enhance their effectiveness. In this paper, two datasets on classifying languages and categorizing online news into six emotion groups are tested with a combination of AOM, OE and a wide range of classification algorithms. Significant improvements in prediction accuracy, tree size and speed are observed.
Heterocyclic Salt Synthesis and Rational Properties Tailoring

Chemical structure determines the inherent properties displayed by a given compound, and these properties, in turn, produce a specific performance behavior. Rationally designing chemical structure to predictably modify compound properties, such that performance behavior can be tailored in a controlled manner, defines the objective of a pertinent synthesis effort. Achieving this objective by introducing structural alterations in a neutral covalent compound offers only one approach for resultant properties modification. Heterocyclic salts significantly enhance the flexibility for achieving properties modification via three strategic approaches: (1) compositionally pairing various cation structural classes with a number of anion structural classes, (2) systematically altering the structure of the cation; and, (3) systematically altering the structure of the anion. To illustrate this premise, four general synthesis methods to synthesize heterocyclic salts, including several new binary heterocyclium icosahedral closo-borane and closo- carborane salts, first are outlined. Secondly, properties modification approaches of neutral covalent compounds are then compared with those approaches available for various heterocyclic salts. Lastly, a key example, using three unsaturated bridged heterocyclium di-cation salts, demonstrates how rational structure design, and its effect on resultant predictable properties modification, produces tailored performance behavior to reach the thermochemical initiation threshold needed for combustion. This is achieved with predictable properties modifications that increase salt energy content, or that accelerate the reaction kinetics of the thermochemical initiation process.
Recent Advances in Silicon Photodetectors Based on the Internal Photoemission Effect

Silicon technologies provide an excellent platform in order to realize microsystems where photonic and microelectronic functionalities are monolithically integrated on the same substrate. In recent years, a lot of passive and active silicon photonic devices have been optimized to work at telecom wavelengths where, unfortunately, silicon has a neglectable optical absorption due to its bandgap of 1.12 eV. Although silicon cannot detect wavelengths above 1.1 μm, in recent years, tremendous advances have been made in order to make it suitable for operation in the near-infrared spectrum. One of the approaches is to take advantage of the internal photoemission effect through a Schottky junction where a metal absorbs the incoming radiation and emits hot carriers into silicon making sub-bandgap detection possible. The present chapter describes the more recent advances in the field of the silicon photodetectors based on the internal photoemission effect showing as devices based on new emerging materials and complex nanostructure are leading this family of device to compare favorably with the well-established technologies commonly used for telecom wavelengths based on germanium and III–V semiconductors.
Poly(Lactic Acid) Packaging Modified Curcumin as Bioactive Substance in Tea Drink (Camelia sinensis)

Biodegradable plastic can be made from natural polymers, one of which was starch. The plastic was known as poly(lactic acid) (PLA). Poly(lactic acid) is a polymer from renewable sources and derived from lactic acid esterification process from fermentation of bacteria by using starch substrate or simple sugar. Poly(lactic acid) has a heat resistance, strong and elastic polymer [1]. Poly(lactic acid) packaging can be used to package various foodstuff, one of which was tea drink. To improve the function of PLA packaging in maintaining the quality of tea drink, was adding bioactive substances such as curcumin which had antioxidant and antimicrobial activity. Antioxidant was defined as a compound which can delay, making slower and prevent the oxidation process, whereas antimicrobial is a compound which can kill or inhibit the growth of microorganism [2]. The addition of curcumin in the manufacture of PLA packaging aimed to prolong the shelf life which considering the active compound of tea leave, such as phenol was easily oxidized and covered microbes on period of storage. The addition of curcumin as a bioactive substance (antioxidant and antimicrobial) on PLA packaging was expected to maintain the quality of tea drink, so the benefit for the health of body remained function properly. The objective of this research was aimed to develop PLA food packaging which modified bioactive substance curcumin as biodegradable packaging material to prevent tea drink from the damage during the storage. Poly(Lactic Acid) Packaging Modified Curcumin as Bioactive Substance in Tea Drink (Camelia sinensis)
TESTING OF THE NON-HYDROSTATIC MODEL LM (LOKAL MODELL) ON THE ROMANIAN TERRITORY

The nonhydrostatic model LM was tested for two horizontal resolutions, of 14 km and of 2.8 km, for 2-5 November 2004 and January 2005. The results have been analyzed, at 14 km resolution, by comparison with the hydrostatic model HRM at the same resolution and with observed data from 16 stations. At 2.8 km, the model outputs have been compared with hourly data from the measurement campaign on 2-5 November 2004 at Baia Mare. The model accurately describes the interaction of non-hydrostatic processes with large-scale processes. The analysis of results shows an improvement of the model forecast accuracy, especially for precipitation. Key works: non-hydrostatic, high-resolution, limited-area model
THE ORGANISATIONAL DIAGNOSES OF A DISTRIBITION ORGANISATION

Subject: The organisational diagnoses of a Distribution Organisation. Key terms: Organisational Development, Organisational Diagnose, Psychodynamic perspective. During the past three decades the economic performances of South Africa organisations were poor. This poor performance forced a lot of South African organisations to look at the way they do business. A method to analyse the way business is conducted through an Organisation Diagnose. Organisation Diagnose is the process of using concepts and methods from the social and behavioural sciences to assess the current state of an entire organisation and to find ways to improve the organisations effectiveness. The aim of this research was to evaluate perceptions of employees of a distribution organisation through an Organisation Diagnose. A cross-sectional design was used as model for the research. Interviews and questionnaires were used as methods for data gathering. A representative sample (N=30) from different job levels and departments were interviewed. The main themes were identified and these themes were included in the questionnaire as dimensions. The Study population (N=88) was chosen from a depot of a distributing organisation. The empirical investigation was aimed at establishing the reliability and validity of the derived questionnaire and to determine the important dimensions to be focused on with regards to interventions. The results of the empirical study showed that employees of a depot of a distributing organisation tend to have positive perceptions about supervision, remuneration and change organisations. The research also showed that employees of a depot of a distributing organisation tend to have negative perceptions about interpersonal relationships and promotion. The research also indicated a large number of factors that was considered as neutral. This can be an indication that employees of a depot of a distribution organisation may have a lack of motivation. Finally suggestions for future research were made.
Adiabatic-NOVEL for Nano-Scale Magnetic Resonance Imaging

We propose a highly efficient dynamic nuclear polarization technique that is robust against field in-homogeneity. This technique is designed to enhance the detection sensitivity in nano-MRI, where large Rabi field gradients are required. The proposed technique consists of an adiabatic half passage pulse followed by an adiabatic linear sweep of the electron Rabi frequency and can be considered as an adiabatic version of nuclear orientation via electron spin locking (adiabatic-NOVEL). We analyze the spin dynamics of an electron-nuclear system that is under microwave irradiation at high static magnetic field and at cryogenic temperature. The result shows that an amplitude modulation of the microwave field makes adiabatic-NOVEL highly efficient and robust against both the static and microwave field in-homogeneity.
Dynamic Managerial Capabilities in Action: Top Management Team Configuration and Asset Orchestration in High-Tech Start-up Firms

The concept of dynamic managerial capabilities captures the critical role of managers for governing purposeful organizational adaptation processes. How top managers can build such dynamic managerial capabilities remains an unanswered question. Based on qualitative case-study data from two high-tech start-up firms, we analyze in this paper how top management team specialization and managerial decision-making facilitates adaptation and proactive change. Our findings show that diversity in human capital, social capital and cognitions on the level of senior executives yields high absorptive capacity of the top management team. A high level of absorptive capacity, in turn, facilitates the development of managers’ mindsets that are attentive towards multiple and diverse organizational and technological challenges. Dynamic managerial capabilities, thus, play a major role in enabling firms to proactively drive change, instead of continuously reacting to environmental pressure.
Item Nonresponse in Face-to-Face Interviews with Children

Abstract This study examined item nonresponse and its respondent and interviewer correlates by means of a population-based, panel survey of children aged 8 to 11 who were surveyed using standardised, face-to-face interviews. Using multilevel, logistic analyses with cross-level interactions, this article aims to examine which effects of item nonresponse are subject to children as respondents or to the interviewers and the interview setting. Depending on the type of question, we found different effects for respondent and interviewer variables, as well as interaction effects between child age/interviewer age as well as child gender/interviewer gender. However, interviewer variance is for the most part not significant.
EURASIAN JOURNAL OF BUSINESS AND MANAGEMENT

This study is intended to explore identification and usage of critical success factors in the activity of IT consulting service providers. Critical success factors and their measures are identified at the industrial level. For the corporate level, the study provides recommendations on elaboration of critical success factors for their further usage. Particular attention is paid to the role of critical success factors in activities of IT consulting service providers involving strategic management, project management, partnership and client relations. This issue has become the subject of the study.
The role of survival analysis in financial distress prediction

Accurate business failure prediction models would be extremely valuable to many industry sectors, particularly in financial investment and lending. The potential value of such models has been recently emphasised by the extremely costly failure of high profile businesses in both Australia and overseas, such as HIH (Australia) and Enron (USA). Consequently, there has been a significant increase in interest in business failure prediction from both industry and academia. Statistical business failure prediction models attempt to predict the failure or success of a business. Discriminant and logit analyses have been the most popular approaches, but there are also a large number of alternative techniques available. In this paper, a comparatively new technique known as survival analysis has been used for business failure prediction. In addition, hybrid models combining survival analysis with either discriminant analysis or logit analysis were trialled, but their empirical performance was poor. Overall, the results suggest that survival analysis techniques provide more information that can be used to further the understanding of the business failure process.
ASSESSING HABITAT USE BY SUN BEARS IN NAMDAPHA TIGER RESERVE , ARUNACHAL PRADESH , INDIA

Malayan sun bear is one of the least known species, the population of which has dramatically decreased. Their habitat loss was considered the main reason for the decline during the last decade, but their habitat preferences are still not well known. The habitat use by sun bear was assessed based on direct sightings and indirect evidences such as claw marks, scats, nests, dens, digging sign and foot prints etc. in Namdapha Tiger Reserve. Six variables, namely elevation, slope, vegetation cover, distance to water, human disturbance and terrain type were used to measure habitat conditions for the bear sign locations sampled during the field surveys. The data on habitat use by sun bears collected from the 430 sample plots along the 43 transects showed maximum number of plots with bear signs in Tropical semievergreen forest. Although sun bears showed some preference for Tropical semi-evergreen forest and Tropical wet-evergreen forest habitat categories, but as such there was no preference or avoidance by bears for rest of the habitat types. Among various habitat categories, the proportional availability of Tropical semi-evergreen forest was found to be highest. In comparison to the availability of various habitat types, the expected use of these habitat categories was found in proportion. The habitat use by sun bear was assessed based on direct sightings and indirect evidences in Namdapha tiger reserve. Six variables, namely elevation, slope, vegetation cover, distance to water, human disturbance & terrain type were used to measure habitat conditions for the bear sign locations sampled during the field surveys. The habitat use based on density of bear signs per hectare was highest in Tropical semi-evergreen forest (0.271), followed by Tropical wet-evergreen forest (0.257), Semi-evergreen forest (0.195) Mix forest (0.139), Temperate forest (0.112) & Bamboo forest (0.027). Habitat used by sun bear were calculated using of fixed kernel method. Therefore its habitat composition resembled more that of the landscape, and comparison between K95 and the study area revealed better habitat selection within the landscape (second order selection). The proportions of two common habitat types (fields and spruce forests) differed between the core areas used in the study. Comparison between the smallest core areas (K50) and (K99) revealed best habitat preferences within the home range (third order habitat selection). Comparing the distribution of individual location points in different habitats to the habitat composition of home ranges did not reveal habitat preferences of sun bear.
Mason – A Read Simulator for Second Generation Sequencing Data

We present a read simulator software for Illumina, 454 and Sanger reads. Its features include position specific error rates and base quality values. For Illumina reads, we give a comprehensive analysis with empirical data for the error and quality model. For the other technologies, we use models from the literature. It has been written with performance in mind and can sample reads from large genomes. The C++ source code is extensible, and freely available under the GPL/LGPL.