Miracle-dz/UniFAR-FTUs huggingface dataset:
Factors associated with immunization status of two year old children

A descriptive study was conducted to investigate the relationship between socio-demographic factors and the immunization status of two year old children. Secondary data were collected from records of 105 two year old children enrolled in the Well Child Clinics of a county health department. Results revealed that 37.5% of the sample had achieved complete immunization status. No statistically significant relationship was found between trimester prenatal care began, maternal age, number of children living in the home, neonatal problems, ethnicity, source of care, referral to Walk-In Clinic, and current visits by a PHN, and the immunization status of two year old children. A statistically significant relationship was found between potential for AHCCCS and incomplete immunization status. The variables that demonstrated significant predictive ability were ethnicity, maternal age, referral to walk-in clinic, potential for AHCCCS and
Computationally Efficient Modeling of Electrical Machines With Cooling Jacket

Modeling of electrical machines is a multiphysics problem. Depending on the phenomena of interest and the computational time constraint, this can be done at different levels of detail. In this article, the main approaches to model the thermal behavior of electrical machines with a liquid cooled casing around the stator (often referred to as cooling jacket) are analyzed and a novel approach is presented. The proposed method aims at creating computationally efficient 3-D multiphysics models of electrical machines with liquid cooled jacket. This model is based on the assumption of a fully developed flow in the cooling jacket which allows to scale the computational fluid dynamics (CFD) simulation to 1-D. The slot with a two layer concentrated winding and potting material is modeled using a composite material comprising of both the conductors and slot filler. Similarly, a unified material is used to model the end-windings. Experimental results on a traction machine for vehicle applications are presented showing good agreement with the simulations. Also, a comparison with a 3-D CFD is presented to verify the pressure drop in the pipe bend. Finally, the model is used to simulate a dynamic load cycle, which would be computationally extremely demanding with combined 3-D CFD and thermal FEA of the machine and its cooling.
The school-to-work transition and youth unemployment in Saudi Arabia : the case of Al-Hasa province

ýar, This study investigates the transition of young people from school to work. In particji the thesis analyses to what extent demographic factors, family background factors, education/training factors and labour market factors influence the labour market entry of Saudi youth. The study sample consisted young people between the ages of 18 and 26. The data were collected using a questionnaire survey distributed to three different groups: student, unemployed and employed, in AI-Hasa Province, between November 2000 and February 2001. The theoretical foundation of the study has been divided into three chapters. The first chapter provides a review of the theoretical background and the relevant literature. This is followed by an examination of education, training and unemployment problems in the developing countries, and a more detailed discussion of the nature of such problems within Saudi Arabian society. The three chapters dealing with the empirical work of this thesis involve univariate, bivariate and multivariate statistical analyses. The empirical work includes descriptive analysis and an examination of the significance of the independent variables. There follows an investigation of the labour market transition probability of Saudi youth using a multinomial logistic regression model. The analysis of demographic variables shows that young people, females, single people and rural residents were more likely to be unemployed. In addition, family background variables were found to be significant. For example, those with employed fathers were more likely to secure employment. Furthermore, education factors, and especially level of education, strongly influenced transition probability, while, surprisingly training qualification did not. Finally, those who had part-time employment during school were more likely to be employed. In contrast, those who expressed a preference for government employment were more likely to be unemployed. Based on these findings, a number of recommendations have been made. Suggestions for further research are also provided.
Characteristics of the clinical education role as perceived by registered nurses working in the practice setting : a thesis presented in partial fulfillment of the requirements for the degree of Master of Philosophy in Nursing at Massey University

Although clinical education has long been acknowledged as the heart of nursing education, the role of the nurse lecturer in relation to the clinical learning experience of nursing students, is an area of long standing confusioFl and dispute. The many advances in technology, nursing science, and the professional role, have not been accompanied by substantive change in the approach to clinical education. Research to date has focused on the lecturers' and students' perceptions of the clinical education role. This study describes the characteristics of the clinical education role as perceived by ten registered nurses working a practice setting. The participants in the study were employed by a Crown Health Enterprise which has for many years, served as a clinical practice agency for a department of nursing within an educational institute. All the participants were employed as registered nurses within the general medical and surgical wards. A qualitative, descriptive and exploratory study was undertaken. Face to face, semi-structured interviews were used to obtain data. This was then analysed using thematic content analysis. Findings from the data revealed five characteristics of the clinical education role as perceived by Registered Nurses working in the practice setting. The clinical education role in its present form changes registered nurses relationship with their patients and changes their pattern of work. It requires good communication with nurse lecturers, preparation for the role, and needs to provide nursing students with the opportunity to learn.
TRACKING MAXIMUM POWER POINT FOR PHOTOVOLTAIC SYSTEM USING A NOVEL DIFFERENTIAL PARTICLE SWARM OPTIMIZATION

In this paper, a new differential particle swarm optimization (DPSO) method is investigated for tracking the maximum power point (MPP) for the photovoltaic (PV) system in order to enhance the operating efficiency of the PV system. The DPSO-based MPPT method is not only able to tract the MPP using few iterations, but also avoids the steady-state oscillation phenomenon. Moreover, the proposed method is capable for extracting the optimization power under varyingtemperature condition as well as large fluctuations of irradiation. To demonstrate the effectiveness of the proposed, the obtained results are compared to those obtained using the conventional perturb and observation (P&O), incremental conductance (IncCond), and classical particle swarm optimization (PSO). Furthermore, a boost converter supplied by a solar array simulator is done to check the stability of the circuit. Meanwhile, the DPSO-MPPT algorithm is embedded in the PV system simulated by using Simulink software and MATLAB Toolbox. The simulating results show the superiority of the proposed approach in improving the efficiency of the photovoltaic system.
Cloud economics and enterprise strategy: a bird eye's view

Cloud Computing has enabled enterprises to focus on their core business by shifting their IT processes and operations on vendor managed public/hybrid clouds. Since the cloud offers numerous benefits such as: IT operational competence, flexibility, increased global reach, reduced cost, efficiency, customized applications and services making cloud computing the prime alternative in comparison to maintaining in-house operations. Migrating enterprises existing applications and services to a cloud if not properly managed may be susceptible to compatibility and orchestration-based risks. Cloud shifting may also lead to issues related to aligning enterprise strategy with IT and cloud services. This paper focuses on distinct aspects of Cloud Economics, aligning enterprise strategy with IT and Cloud Strategy and suggests the best methods to maintain Quality of Service and avoid Vendor lock-in and Service Level Agreement (SLA) based issues in the cloud ecosystem
Empowering Patients Through Digital Technologies

Mobile health initiatives aim to give patients more medical information and to empower them over their medical treatments. However, information overload and lack of digital literacy may hinder patient empowerment. This chapter investigates opportunities and challenges of patient empowerment and mobile health. The authors analyze the different definitions used in the literature to characterize patient empowerment and mobile health, discussing implications for all the care actors involved. Although the adoption rate of mobile technologies is at its infant stage and challenges still outweigh the benefits of patient empowerment, mobile health apps can foster the progress towards patient-centered care.
Mean sojourn time in a parallel queue

This account considers a parallel queue, which is two-queue network, where any arrival generates a job at both queues. It is noted that earlier work has revealed that this class of models is notoriously hard to analyze. We first evaluate a number of bounds developed in the literature, and observe that under fairly broad circumstances these can be rather inaccurate. For the 'homogeneous' case we present a number of approximations, which are extensively tested by simulation, and turn out to perform remarkably well.
Tourist Guide with Human Machine Interaction using Spoken Commands in the Natural Language

This paper proposes NLP based system to facilitate user interaction by verbal communication in a seamless manner. With the advancement of technology the human machine interaction becomes an unavoidable scenario. Introduction of natural communication is an addition that has to be made sooner or later in every department. Devices that accept interaction based on Natural Language, like, using voice commands, can understand basic human orders or answer questions whenever user expressions fit into the known language pattern. The purpose of this work is to introduce a system which is capable of interacting with human and is able to assist them using authentic knowledge and provide a smooth experience
Animal Health and Welfare Planning - A Review

In UK, animal health planning is being increasingly promoted and implemented in both the organic and conventional livestock sectors – health planning is compulsory for organic certification in the UK. The type health planning that is taking place and the health plans being used vary widely across the UK livestock industry. This study details how health and welfare plans are promoted and implemented by British Governments, industry quality assurance and organic certification bodies. Details of animal health and welfare planning activities taking place in other European countries are also detailed though these activities are limited compared to the UK. An analysis of the key principles of health and welfare plans and planning identified from these review is presented and these principles compared with those derived at the first ANIPLAN Workshop held in Denmark in October 2007. A review of attitudes towards health and welfare planning is presented and shortcomings of the “UK style” of health planning identified so that conclusions can be drawn as to how best to take effective animal health and welfare planning forward into European partner countries via the ANIPLAN project.
Layer‐wise hint‐based training for knowledge transfer in a teacher‐student framework

We devise a layer‐wise hint training method to improve the existing hint‐based knowledge distillation (KD) training approach, which is employed for knowledge transfer in a teacher‐student framework using a residual network (ResNet). To achieve this objective, the proposed method first iteratively trains the student ResNet and incrementally employs hint‐based information extracted from the pretrained teacher ResNet containing several hint and guided layers. Next, typical softening factor‐based KD training is performed using the previously estimated hint‐based information. We compare the recognition accuracy of the proposed approach with that of KD training without hints, hint‐based KD training, and ResNet‐based layer‐wise pretraining using reliable datasets, including CIFAR‐10, CIFAR‐100, and MNIST. When using the selected multiple hint‐based information items and their layer‐wise transfer in the proposed method, the trained student ResNet more accurately reflects the pretrained teacher ResNet's rich information than the baseline training methods, for all the benchmark datasets we consider in this study.
Methicillin-resistant Staphylococcus aureus in pork production facilities: occupational exposures and infections

This research focuses on occupational exposures associated with Methicillinresistant Staphylococcus aureus (MRSA) in modern pork production facilities. This dissertation is composed of three related parts. In Chapter II, “Methicillin-resistant Staphylococcus aureus in pork production shower facilities” we documented the presence of MRSA in shower facilities of conventional swine production systems where pigs were colonized with MRSA. We tested farms involved in different production phases (sow, nursery, and finisher) and geographical locations. In the two swine production systems studied, 3% and 26% of shower samples were positive for MRSA. Overall, the prevalence in showers was 19%. In Chapter III, “Methicillin-resistant Staphylococcus aureus in pork production shower facilities: Adapting interventions from athletic facilities,” we searched the literature for interventions designed to decrease MRSA infections in athletes. We then evaluated these interventions for adaptability to the pork production environment and composed swine-specific guidelines for MRSA prevention. We implemented our intervention in a pilot study to reduce MRSA in showers and locker rooms, and results were mixed. We recommend repeating this study with a larger sample, and better intervention management and oversight. In Chapter IV, “Methicillin-resistant Staphylococcus aureus infection in pork production workers,” we sought to determine if pork producers report veterinariandiagnosed antibiotic-resistant skin infections in pigs, and physician-diagnosed antibioticresistant skin infections in workers (including MRSA). We then examined potential risk factors for infection associated with biosecurity, including shower and laundry procedures, farm-specific clothing use (clothing worn only while working on the farm), and personal hygiene. No significant risk factors were identified for either skin infections in pigs or skin infections in workers.
Histological staining for the diagnosis of mesothelioma.

: The histological diagnosis of mesothelioma may be difficult, especially when only a small biopsy is available. The epithelial form of mesothelioma can closely resemble an adenocarcinoma, so much so that it is often difficult or impossible to distinguish between them by light microscopy. This paper examines the results of staining 30 cases of the epithelial form of mesothelioma by various techniques for mucus. The slides were evaluated according to the intensity and extent of staining, the color of the reaction, the location of the staining (intra- or extra-cellular), and the reproducibility and reliability of the technique.
Een neuroloog gaat pro justitia: Een casus over brandstichting, intensive care en het geheugen

Inhoud • De politie komt • De neuroloog • Op de IC • Posttraumatische amnesie • Non-verbaal verhoor • Vroeg versus late verhoren • De neuroloog op de zitting • Vacuüm • De moraal • Literatuur Op 4 januari 1999 omstreeks 23.00 uur nam het leven van de toen 31-jarige zakenman Wilfred Mankema een dramatische wending. Terwijl hij in een achterkamer op de begane grond van zijn kledingwinkel doende was met het afprijzen van de voorraden, ontplofte vlak onder hem de in de kelder geplaatste cv-ketel. Het onmiddellijke effect van de explosie was een fel uitslaande brand. Ook kwam er een stuk van het betonnen plafond naar beneden, dat Mankema aan het hoofd raakte. De brandweer en ambulance waren snel ter plekke en evacueerden de zwaar gewonde Mankema uit het brandende pand. Hij werd overgebracht naar de intensive care-afdeling van een ziekenhuis in de buurt. Daar constateerde men ernstige brandwonden en een fors hersenletsel. Tijdens de daaropvolgende dagen traden er allerlei medische complicaties op. Zo ontstond er vanwege de hersenbeschadiging al in de loop van de tweede opnamedag vochtopeenhoping (oedeem), die weer leidde tot een toegenomen druk in de hersenen (obstructie hydrocephalus). Onder invloed van die toegenomen druk daalde Mankema's bewustzijn, en zijn toestand ging zo snel achteruit dat men operatief moest ingrijpen. Er werd aan de rechtervoorkant van de hersenen een gat geboord, zodat daar het overtollige vocht kon worden afgetapt. Na deze ingreep ging het weer beter met Mankema. Dat duurde echter niet lang, want na enkele dagen vertoonde hij de symptomen van een hersenvliesontsteking (meningitis). Aanvankelijk leek het erop dat de artsen met antibiotica de infectie goed onder controle kregen. Maar na een week staken zowel de overdruk als de infectie opnieuw de kop op. Andermaal werd er operatief ingegrepen en nu werd via een boorgat aan de linkervoorkant van de hersenen vocht afgetapt. Ondertussen kreeg Mankema pijnen kalmeringsmiddelen toegediend zodat hij beter kon slapen. Pas na een aantal weken werd Mankema uit het ziekenhuis ontslagen en vond hij een plaats in een revalidatiekliniek.
On the deployment of low latency network applications over third-party in-network computing resources

An increasing number of Low Latency Applications (LLAs) in the entertainment (Virtual/Augmented Reality), Internet-of-Things (IoT), and automotive domains require response times that challenge the traditional application provisioning process into distant data centres. At the same time, there is a trend in deploying In-Network Computing Resources (INCRs) closer to end users either in the form of network equipment, with capabilities of performing general-purpose computations, and/or in the form of commercial off-the-self “data centres in a box”, i.e., cloudlets, placed at different locations of Internet Service Providers (ISPs). That is, INCRs extend cloud computing at the edge and middle-tier locations of the network, providing significantly smaller response times than those achieved by the current “client-to-cloud” network model. In this thesis, we argue about the necessity of exploiting INCRs for application provisioning with the purpose of improving LLAs’ Quality of Service (QoS) by essentially deploying applications closer to end users. To this end, this thesis investigates the deployment of LLAs over INCRs under fixed, mobile, and disrupted user connectivity environments. In order to fully reap the benefits of INCRs, we develop for each connectivity scenario algorithmic frameworks that are centred around the concept of a market, where LLAs lease existing INCRs. The proposed frameworks take into account the particular characteristics of INCRs, such as their limited capacity in hosting application instances, and LLAs, by addressing the number of instances each application should deploy at each computing resource over time. Furthermore, since typically the smooth operation of network applications is supported by Network Functions, such as load balancers, firewalls etc., we consider the deployment of complementary Virtual Network Functions for backing LLAs’ provisioning over INCRs. Overall, the key goal of this thesis is the investigation of using an enhanced Internet through INCRs as the communication platform for LLAs.
Knowledge Based Radiation Therapy with Three Dimensional Registration of the Planning Target Volume

Knowledge Based Radiation Therapy with Three Dimensional Registration of the Planning Target Volume by Christopher Lorin Busselberg Graduate Program in Medical Physics Duke University Date:_______________________ Approved: ___________________________ Joseph Lo, Co-Supervisor ___________________________ Shiva Das, Co-Supervisor ___________________________ Mark Oldham An abstract of a thesis submitted in partial fulfillment of the requirements for the degree of Master of Science in the Graduate Program in Medical Physics in the Graduate School of Duke University 2012 Copyright by Christopher Lorin Busselberg 2012
A Model Cortical Network for Spatiotemporal Sequence Learning and Prediction

In this paper we developed a hierarchical network model, called Hierarchical Prediction Network (HPNet) to understand how spatiotemporal memories might be learned and encoded in a representational hierarchy for predicting future video frames. The model is inspired by the feedforward, feedback and lateral recurrent circuits in the mammalian hierarchical visual system. It assumes that spatiotemporal memories are encoded in the recurrent connections within each level and between different levels of the hierarchy. The model contains a feed-forward path that computes and encodes spatiotemporal features of successive complexity and a feedback path that projects interpretation from a higher level to the level below. Within each level, the feed-forward path and the feedback path intersect in a recurrent gated circuit that integrates their signals as well as the circuit’s internal memory states to generate a prediction of the incoming signals. The network learns by comparing the incoming signals with its prediction, updating its internal model of the world by minimizing the prediction errors at each level of the hierarchy in the style of predictive self-supervised learning. The network processes data in blocks of video frames rather than a frame-to-frame basis. This allows it to learn relationships among movement patterns, yielding state-of-the-art performance in long range video sequence predictions in benchmark datasets. We observed that hierarchical interaction in the network introduces sensitivity to memories of global movement patterns even in the population representation of the units in the earliest level. Finally, we provided neurophysiological evidence, showing that neurons in the early visual cortex of awake monkeys exhibit very similar sensitivity and behaviors. These findings suggest that predictive self-supervised learning might be an important principle for representational learning in the visual cortex.
Smart disclosure: promise and perils

Abstract The move to smart disclosure promises to revitalize disclosure mandates and save them from a fate of ignored verbiage. But by making disclosure relevant and effective, this shift to smart disclosure also raises several concerns. Specifically, simple disclosures like genetically modified food disclosures, restaurant hygiene grades, annual percentage rate disclosures, etc., can result in market distortions and inefficiencies as: (1) consumers might draw false inferences from the disclosure; and (2) disclosing one dimension will elevate this dimension relative to other dimensions, and thus distort demand for the product and even alter the product itself. Relatedly, System 1 disclosures, like graphic cigarette labels, might influence behavior by triggering an emotional response rather than through informed deliberation, thus abandoning traditional justifications for disclosure mandates. In light of these concerns, it is more difficult to view disclosure mandates as minimally paternalistic. Government, by tweaking disclosure design, wields substantial power over markets and consumers.