Miracle-dz/UniFAR-FTUs huggingface dataset:
Training and cultural context in the Arab Emirates: fighting a losing battle?

Purpose – The purpose of this paper is to explore the delivery of corporate objectives in customer service in the training of employees in a cultural context at odds with the proposed training outcomes.Design/methodology/approach – A training program created to encourage collaborative and competitive styles in customer interaction, delivered in a major bank in the UAE, was the focus of the case.Findings – A literature review suggests that collaborative and competitive styles (of all the five conflict mode preferences) are positively correlated with business performance. The overwhelming preference for compromising and avoiding styles found amongst trainees in this bank showed that specific cultural context can significantly modify the desired outcomes of Western‐style training programs. The conflict mode preferences seen to encourage collaborative and competitive styles were significantly below best‐practice averages in this case.Research limitations/implications – Significant differences are discovered b.
Species recognition by male swordtails via chemical cues

Species recognition can often play a key role in female mating preferences. Far less is known about conspecific mate recognition from the male perspective. In many closely related taxa, females exhibit few obvious visual differences and males might have to attend to chemical cues in mate recognition, a possibility that has rarely been explored in vertebrates. Here, we examine male species recognition via odor cues in the swordtail fish, Xiphophorus birchmanni. In dichotomous choice experiments we first tested whether males respond to female odor cues. We found that males were attracted to conspecific female odor and those of a related allopatric congener, Xiphophorus malinche, over a water control. Males did not, however, respond to the female odor of the more distantly related sympatric platyfish, Xiphophorus variatus. We then gave male X. birchmanni the choice between conspecific and heterospecific female stimuli. Males, in this scenario, significantly preferred the conspecific odor when the alternative was platyfish. However, when offered odor cues of X. malinche, male X. birchmanni actually preferred the heterospecific female cue. The complex array of preferences reported here, previously documented only in females, underscores the need to consider the behavior of both sexes in dictating actual mating outcomes. Key words: chemical communication, mate choice, Poeciliidae, reproductive isolation, sexual selection, speciation. [Behav Ecol 16:818–822 (2005)]
Distinguishing cause from effect – many deficits associated with developmental dyslexia may be a consequence of reduced and suboptimal reading experience

ABSTRACT The cause of developmental dyslexia is still unknown despite decades of intense research. Many causal explanations have been proposed, based on the range of impairments displayed by affected individuals. Here we draw attention to the fact that many of these impairments are also shown by illiterate individuals who have not received any or very little reading instruction. We suggest that this fact may not be coincidental and that the performance differences of both illiterates and individuals with dyslexia compared to literate controls are, to a substantial extent, secondary consequences of either reduced or suboptimal reading experience or a combination of both. The search for the primary causes of reading impairments will make progress if the consequences of quantitative and qualitative differences in reading experience are better taken into account and not mistaken for the causes of reading disorders. We close by providing four recommendations for future research.
Virulence Traits Contributing to Pathogenicity of Candida Species

The fungus belonging to genus Candida is the only opportunistic mycotic pathogen causing a wide spectrum of clinical manifestations ranging from mucocutaneous overgrowth to life threatening disseminated infections [1]. This opportunistic fungal pathogen is ubiquitous in nature and can exist as saprophyte and commensal. However, under certain conditions Candida may transit from a commensal to a potent pathogen.
Provider Burnout and Resilience of the Healthcare Team

For many years, burnout has been a concern across multiple disciplines. Provider burnout (PB) in the healthcare team (HCT) can have detrimental effects on both the providers’ well-being and the level of care patients receive. Risk factors for PB are numerous and fall into three general categories: personal, situational, and organizational. In the face of widespread changes in the healthcare industry, healthcare provider (HP) resilience has emerged as a strategy to combat PB before it occurs and to ensure the sustainability of the HCT. Resilience can be built through various methods and can allow HPs to manage stresses in and out of the workplace. Resilience training has been shown to be effective in reducing stress and PB in student doctors, U.S. military HPs, and even patients. Increased HP resilience can lead to increased job satisfaction, better patient care, increased patient satisfaction with their HPs, as well as active involvement of patients in the maintenance of their own health. However, there remains a lack of resilience training programs for practicing HPs who did not receive training during their educational years. This paper will provide a brief review of current thoughts and research regarding PB and resilience. *Corresponding author Ryan S. DesCamp, Indiana University School of Medicine, Northwest, Dunes Medical Professional Building, Room 3028, 3400 Broadway, Gary, IN 464081197, USA, Tel: 12199814356; Fax: 12199806566; Email:
Prevalence of Salmonella spp . in Poultry Eggs from Different Retail Markets at Savar Area , Bangladesh

Salmonellosis is one of the most common and widely distributed food-borne diseases. It constitutes a major public health burden and represents a significant cost in many countries. The aim of this study is to determine the prevalence Salmonella spp. in poultry eggs from different retail markets of Savar area, Bangladesh. A total of 103 poultry eggs were examined to investigate the prevalence of Salmonella spp. The isolated samples were presumptively identified by established conventional cultural method and biochemical tests for Salmonella spp. detection. The average prevalence of Salmonella was found to be 86% in poultry eggs. Among these, 83% from outer shell of eggs and 3% (3 isolates) from egg contents were identified. In this study, we also observed that the prevalence of Salmonella spp. that was higher in spring (91%) season than in winter (82%) season. Prevalence of Salmonella spp. was significantly higher in egg shell compared to egg contents (p<0.01). The present study represents that poultry eggs are potential reservoir of Salmonella spp. Human illnesses may be associated with pathogenic Salmonella spp. during consumption of contaminated poultry eggs. Intervention strategies are hence important to control Salmonella infection from farm to fork.
Neurobehavioral disorders in children, adolescents, and young adults with Down syndrome

The term dual‐diagnosis refers to a person with mental retardation and a psychiatric disorder. Most children with Down syndrome (DS) do not have a psychiatric or neurobehavioral disorder. Current prevalence estimates of neurobehavioral and psychiatric co‐morbidity in children with DS range from 18% to 38%. We have found it useful to distinguish conditions with a pre‐pubertal onset from those presenting in the post‐pubertal period, as these are biologically distinct periods each with a unique vulnerability to specific psychiatric disorders. Due to the increased recognition that psychiatric symptoms may co‐occur with mental retardation, and are not inextricably linked to cognitive impairment, these conditions are considered treatable, in part, under a medical model. Improvement in physiologic regulation, emotional stability, and neurocognitive processing is one of the most elusive but fundamental goals of pharmacologic intervention in these disorders. © 2006 Wiley‐Liss, Inc.
Identification of Arrhythmia Classes Using Machine-Learning Techniques

The current paper, describes a machine learning-based approach for automatic detection of five classes of ECG arrhythmia beats using Discrete Wavelet Transform (DWT) features. Further, methodology comprises dimensionality reduction using Principal Component Analysis (PCA), ten-fold cross-validation and classification using Support Vector Machine (SVM) kernel functions. Using ANOVA significant features are selected and reliability of accuracy is measured by Cohen’s kappa statistic. Large dataset of 110,093 heartbeats from 48 records of MIT–BIH arrhythmia database recommended by ANSI/AAMI EC57:1998, which are grouped into five classes of arrhythmia beats viz. Non-ectopic (N), Supraventricular ectopic (S), Ventricular ectopic (V), Fusion (F) and Unknown (U) are classified with class specific accuracy of 99.30%, 95.30%, 88.77%, 55.09% and 95.33%, respectively and an overall average accuracy of 97.48%, using SVM quadratic kernel. The developed methodology is an efficient tool, which has intensive applications in early diagnosis and mass screening of cardiac health
Single Mothers and the Dilemmas of Universal Social Policies

Danish social policies have a gender neutral approach, combined with an aim of autonomy for individuals and a system of universal social policies. This approach has moved Denmark away from the use of moral regulation of single mothers and a strong male income earner model in social policy. It has highlighted men's roles as fathers, as well as women's roles as workers and has therefore a lot of advantages. Problems do occur though when the obligation to work or to be a parent in reality differs for men and for women; this becomes clear when we focus on single parents.
Nonlinear dissipation in diamond nanoelectromechanical resonators

Dissipation of energy in micro- and nano-electromechanical resonators governs their dynamical response and limits their potential use in device applications. Quantified by the quality factor Q, dissipation (Q− 1) usually occurs by energy loss mechanisms that are linear, appearing as a damping term proportional to the velocity. Mechanisms of linear dissipation in micro- and nano-mechanical resonators are well studied both theoretically and experimentally. Mechanisms of nonlinear dissipation of energy, however, are rarely studied, though their effects could be fundamentally important to the operation of numerous devices based on nonlinear resonators such as switches, signal processers, sensors, and energy harvesting systems. Here, we report experimental observation of nonlinear dissipation in diamond nanoelectromechanical resonators.
Autonomous Surveillance Robots

This paper proposes an architecture for an intelligent surveillance system, where the aim is to mitigate the burden on humans in conventional surveillance systems by incorporating intelligent interfaces, computer vision, and autonomous mobile robots. Central to the intelligent surveillance system is the application of research into planning and decisionmaking in this novel context. We frame the robot surveillance decision problem, describing how the integration of components in our system supports fully-automated decisionmaking. Several concrete scenarios deployed in real surveillance environments exemplify both the flexibility of our system to experiment with different representations and algorithms and the portability of our system into a variety of problem contexts. Moreover, these scenarios demonstrate how planning enables robots to effectively balance surveillance objectives, autonomously performing the job of human patrols and responders.
12 Predictors of Success for Children With Cochlear Implants

Cochlear implantation is an intervention for deafness that has exceeded the expectations held by those instrumental in its early, controversial development. The initial goal of sound awareness seems a meager benefi t compared with the phenomenal results afforded by the state-of-the-art technology and the habilitation tools and strategies available today for persons with severe to profound hearing loss. Cochlear implantation has proven to be effective to restore auditory function and to develop audition skills necessary for normal spoken communication. In the scheme of medical interventions, it ranks high in a model of cost effi ciency, with both shortand long-term fi nancial impact (Cheng et al., 2000; Francis, Koch, Wyatt, & Niparko, 1999; Johnson & Stewart, 2004; Koch, Wyatt, Francis, & Niparko, 1997; Palmer, Niparko, Wyatt, Rothman, & de Lissovoy, 1999). The development of this medical invention coincided with an evolution in therapeutic approaches to achieve the outcomes appreciated today by both the recipients and the providers of service delivery. The combination of cochlear implantation and effective habilitation for children who are deaf has resulted in a resounding triumph for the fi elds of audiology, speech-language pathology, and deaf education. In this chapter, we will review the collective knowledge gathered from 20 years of clinical experience in the use of multichannel cochlear implants for children, with emphasis on understanding the variables that lend themselves to infi nite combinations of individual outcomes. We may arrive at the recommendation to pursue cochlear implantation for a child after a standardized protocol to screen, identify, diagnose, and initiate early intervention services. A standardized
High Prevalence of Sarcopenia in Women with Osteoporotic Fractures

The aim of the present study was to assess the prevalence of sarcopenia in women with osteopenia/osteoporosis with or without fragility fractures. Patients and methods: 112 ambulatory women with osteopenia/osteporosis were included. Body composition was determined by DXA. Weight, height, body mass index (BMI), bone mineral density (BMD) of the total skeleton, total lean mass (LM), appendicular lean mass (ALM) and the index: appendicular lean mass/height² (ALM/h²) were determined. Grip strength and self-selected gait speed were assessed. Results: Average (X ± SD) results were: age 70.9 ± 8.2 years, BMI: 23.1 ± 3.3 kg/h², total skeleton BMD T-Score:-1.7 ± 0.8, total LM 33.3 ± 3.8 kg, ALM 14.4 ±2.1 kg and ALM/h²: 5.86 ± 0.68 kg/h². Walking speed 0.96±0.21m/s and handgrip: 18.8 ± 4.8 kg. The prevalence of sarcopenia was: 24.7% (International Working Group criteria). Values for BMI, LM, ALM, ALM/h², gait speed and hand grip were significantly lower in sarcopenic vs. non-sarcopenic patients. 29 patients, average age: 70.5 ± 8.0 years had osteoporotic fragility fractures (Fx). The prevalence of sarcopenia in the group of patients with Fx was 41.4% vs. 19.3% in the non-Fx patients (n=83) (p<0.018). Conclusion: The prevalence of sarcopenia in women with osteopenia/osteoporosis was higher compared to that usually reported in non-selected patients of similar age. Those with bone fractures had a significantly higher prevalence of sarcopenia compared to the non-fracture patients. The assessment of muscle mass and function in patients with osteopenia/osteoporosis is recommended.
A capability-oriented approach to assessing privacy risk in smart home ecosystems

Smart devices are increasingly ubiquitous; the multitude of risks they pose to user privacy continues to grow, but assessing such risks comprehensively has proven difficult. In this paper, we discuss three factors which complicate the assessment of privacy risks in the context of the smart home. Firstly, smart devices are highly heterogeneous and hard to categorise, so top-down, taxonomy-oriented approaches to risk assessment do not fit well. Secondly, the threat landscape is vast, varied, and growing. Thirdly, the chief asset, personal information, is difficult to value-especially given that its value can be hugely affected by aggregation. To address these factors, we propose a novel, bottom-up approach in which the smart home ecosystem is reduced to its data-collecting capabilities (such as sensors and apps) and then privacy risk is assessed based on the information that the user exposes. We define a capability-oriented model which is system-neutral, extensible, and therefore well-suited to the fast-evolving nature of the smart home.
Efecto de la luz cenital difusa sobre la agudeza visual y la sensibilidad al contraste en la conducción mesópica

Driving a car, especially in mesopic lighting conditions, typical of night driving, is a highly visual common task, complex and dangerous. The mesopic lighting conditions are responsible for heavy losses in visual capacity produced by spherical and chromatic aberrations as a result of pupillary dilation. In addition, glare situations, due to the headlights of other vehicles, can affect drivers, during night driving. This study show the diffused light from a zenithal lighting device, is not a physiological stimulus for vision and can produce a pupillary contraction causing exclusion of peripheral ocular optical system and improving visual function. For this purpose, a new diffuser lighting device has been designed that aims to optimize visual capabilities of the driver, in adverse driving conditions, by acting on pupil diameter. To evaluate different aspects of vision, a sample consisting of 109 drivers aged between 20 and 76 years old, divided into 2 age groups have been studied. The high and low contrast visual acuity and the contrast sensitivity were analyzed in the absence and presence of an external glare. In conclusion, the zenithal diffuser induces pupillary contraction and the mesopic visual acuity, contrast 100%, is improved in drivers 40 years old. The zenithal diffuser also increased mesopic visual acuity, contrast 20%, in drivers less than 40 years old and produces a positive effect on mesopic contrast sensitivity for the entire sample.
metastable supersymmetry breaking sector

We analyze an R-symmetry breaking deformation of the ISS model for a direct mediation of supersymmetry breaking from a metastable vacuum. The model is weakly coupled and calculable. The LSP gravitino is light (m 3 2 < 16 eV) and the MSSM spectrum is natural with a light Higgs. The supersymmetry breaking sector, which is usually hidden, is observable (m ∼ 1TeV) and may be a candidate for cold dark matter. We discuss its production and signature at LHC. We propose a UV completion of the model in terms of a duality cascade.
Networks, Knowledge and Power: Decision Making, Politics and the Process of Innovation

This paper examines the highly political nature of innovation appropriation processes. The central focus is on the role of networks, networking, and knowledge in these processes. The data presented is drawn from two case study companies, both of which were implementing Enterprise Resource Planning (ERP) systems. While formal, hierarchical authority was found to be an important contextual factor, shaping the appropriation processes examined, it was found that such authority was not automatically translatable into actual power. In terms of knowledge and networks, the paper concludes that they were inextricably inter-related, largely because the typically tacit nature of much relevant knowledge required the development of networks to access and utilize it. The paper further concluded that the use of both networks, and knowledge in the innovation appropriation processes examined had a dual character. They could not only provide access to relevant knowledge and artefacts, but could also be used as political tools in support of particular interests.
Interoperability of Medication Classification Systems : Lessons Learned

Interoperability among medication classification systems is known to be limited. We investigated the mapping of the Established Pharmacologic Classes (EPCs) to SNOMED CT. We compared lexical and instance-based methods to an expert-reviewed reference standard to evaluate contributions of these methods. Of the 543 EPCs, 284 had an equivalent SNOMED CT class, 205 were more specific, and 54 could not be mapped. Precision, recall, and F1 score were 0.416, 0.620, and 0.498 for lexical mapping and 0.616, 0.504, and 0.554 for instance-based mapping. Each automatic method has strengths, weaknesses, and unique contributions in mapping between medication classification systems. In our experience, it was beneficial to consider the mapping provided by both automated methods for identifying potential matches, gaps, inconsistencies, and opportunities for quality improvement between classifications. However, manual review by subject matter experts is still needed to select the most relevant mappings.
Chronic Kidney Diseases and Nanoparticle Therapeutics

Present review article describes main causes of chronic kidney disease a major health problem public health problem round the globe. Disease has multiple etiologies related to sequential pathophysiological stages. It has major concern with chronic changes in renal structure and that severely alter glomerular filtration rate in patients. This article explains CKD biomarkers in brief i.e. serum creatinine, periostin, a matricellular protein discoidin domain receptor 1 (DDR1), a transmembrane collagen receptor of the tyrosine kinase family, Phospholipase D4 (PLD4) renal biomarkers, metabolic biomarkers. The main focus was given on use of nanoparticles for CKD therapeutics. This article describes various metal and metal oxide nanaoparticles, such as cuprous oxide (CONPs), super paramagnetic iron oxide (new SPIO) nanoparticles, silica-coated iron oxide nanoparticle, Vanadium oxide nanoparticles (VONPs, Titanium dioxide and gold, calcifying nanoparticles, colloidal protein-mineral nanoparticles, Liposomal nanoparticles, MITO-Porter, SB-coated NPs, ASc-loaded polymeric nanoparticles, Carbon-coated iron nanocrystal, Nanodiamonds, Sodium-PLGA hybrid nanoparticles, Epidermal growth factor receptor (EGFR)-targeted chitosan (CS) nanoparticles, Photocaged nanoparticles, Mesoporous silica nanoparticles (MSNs Quantum dots (QDs) which are used for drug delivery patients. For successful management of disease progression of diseases, symptoms should analyze by good physician at an eerily stage, by using highly efficacious, sensitive and specific CKD markers. All factors must include knowing the status of disease and chemotherapeutics by using low toxic nanoparticles. Before being used nanoparticles should evaluate in experiment animal models. For future therapeutics metabolomics, kidney transplants and good wound healers are required.
Determinants of corporate social responsibility: Empirical evidence from the Netherlands.

Corporate social responsibility (CSR) is a topic that has gained much attention lately. This attention however, is mainly focused on the consequences and benefits that are associated with CSR activities. This study contributes the extensive academic literature by finding determinants of CSR. It will do so by using the five most explanatory theories of the last decade. Using this multi-theoretical framework, this study empirically tests if leverage, profitability, board diversity, ownership concentration and R&D are potential determinants of CSR. This study is structured in such way that each determinant comes from one of the five explanatory theories. Using a sample of 68 Dutch listed firms the determinants are tested using Ordinary Least Squares (OLS) regression analysis. CSR ratings are constructed by conducting a content analysis of the annual reports of the firms of the year 2015 using keywords obtained form the GRI G4 reporting initiative. Besides also the CSR ratings from the Transparency Benchmark are used. Secondary data obtained from the ORBIS database by Bureau van Dijk has been used to measure the data of the determinants. Results of this study indicate that ownership concentration is a significant determinant of CSR. However, leverage, profitability, board diversity and R&D are found not to be significant determinants of CSR.