Miracle-dz/UniFAR-FTUs huggingface dataset:
Informatics and Nursing: Opportunities and Challenges

Unit One: Nursing and Informatics: The Basics1. Introduction to Nursing Informatics: Multiple Foci2. The Hardware: Meet the Computer3. Software: The Computer at Work4. Computer Communications: Lighting-Fast Information Dissemination5. Understanding Computer Concepts: Features Common to Most Packaged Software Unit Two: Informatics: eHealth6. The Internet: eHealth Tools7. The Internet: The New Healthcare Paradigm8. Telehealth: Now and in the Future Unit Three: Informatics: Personal Productivity9. Word Processors: Writing and Rewriting Without a Hassle10. Presentation Software: Looking Professional in the Spotlight11. Working with Numbers: Letting the Software Do the Hard Part Unit Four: Informatics: Clinical Information Systems12. Informatics Nurse Specialist: A Specialty in Two Disciplines13. Nursing Classification Systems: Terminology Does Matter14. Informatics in Practice: Clinical Information Systems Unit Five: Informatics: Professional Tools and Issues15. Other Facets of Informatics: A Wide Impact NEW! 16. Databases: Creating Information from Data17. Nursing Knowledge: Access Via Bibliographical and Factual Databases18. Educational Informatics: e-Learning19. Informatics: Challenges and IssuesAppendix AAppendix
The Life Of A Style Beginnings And Endings In The Narrative History Of Art

Thank you for reading the life of a style beginnings and endings in the narrative history of art. As you may know, people have look hundreds times for their favorite novels like this the life of a style beginnings and endings in the narrative history of art, but end up in malicious downloads. Rather than reading a good book with a cup of coffee in the afternoon, instead they juggled with some infectious bugs inside their laptop.
Measurement and Application of Dynamic Receiver Class Distributions

Dynamic binding slows down object-oriented programs. Dynamic dispatch mechanisms which work well where all receiver classes are equally likely are too pessimistic because at most call sites one receiver class predominates. We apply dynamic profile information to determine the dynamic execution frequency distributions of the classes of receivers at call sites. We show that these distributions are heavily skewed towards the most commonly occurring receiver class across several different languages. Moreover, we show that the distributions are stable across program inputs, from one version of a program to another, and even to some extent across programs that share library code. Finally, we demonstrate that significant run-time performance improvements for object-oriented programs can be gained by exploiting the information contained in dynamic receiver class distributions in a relatively simple optimizing compiler.
Phenotypic and molecular characterization of Methicillin Resistant Staphylococcus aureus from surgical patients and normal dogs

Njoroge C, Mande JD, Mitema SE, Kitaa JMA. 2018. Phenotypic and molecular characterization of Methicillin Resistant Staphylococcus aureus from surgical patients and normal dogs. Bioteknologi 15: 13-25. The objectives of this study were to determine bacterial ecology and their antimicrobial susceptibilities from a wound and ear swabs with emphasis on Staphylococcus aureus and to determine the prevalence of MRSA/MRSP in normal dogs and surgical patients using phenotypic and genotypic assays. The findings revealed that the most prevalent microbial isolates recovered from dogs diagnosed with wounds, surgical site infections, and otitis externa, were S. aureus 50% (133/267) and Proteus spp. 14% (38/267). Other frequently recovered isolates included Pseudomonas spp. 10% (28/267), other Staphylococcus spp. 8.2% (22/267), Streptococcus spp. 6.7% (18/267), and E. coli 5.6% (15/267). Resistance to antimicrobial drugs was observed in the majority of the isolates in the retrospective study, with 97% (262/267) of the isolates demonstrating antimicrobial resistance to at least one drug. Resistance to sulphonamides (96%), potentiated sulphonamides (89%), ampicillin (68%), amoxicillin (62%) and tetracycline (56%) was relatively high for all bacterial species examined. S. aureus isolates showed 95% resistance to sulfamethoxazole, 55% to ampicillin, 52% to tetracycline and 52% to amoxicillin/clavulanic acid. Pseudomonas spp. showed the highest multidrug resistance with all (100%) isolates showing resistance to amoxicillin, amoxicillin/clavulanic acid and sulfamethoxazole, the isolates also showed high resistance to cotrimoxazole (93%), ampicillin (93%) and tetracyclines (80%). Low resistance to gentamicin (9%), norfloxacin (24%) and chloramphenicol (33%) was observed in all bacterial isolates. Data from the prospective study revealed that presumptive Staphylococcus spp. were isolated from 34% (65/191) of the samples. Coagulase-positive Staphylococcus spp. (COPS) accounted for 43% (28/65) of the Staphylococcus spp. isolated. Phenotypic resistance to oxacillin was detected in 53.6% (15/28) of COPS. Further analysis of the resistant determinants by BLAST revealed that all the resistant Staphylococcus strains were S. aureus strains. This study confirms S. aureus as the most prevalent bacterial isolate from wounds, surgical site infections, and otitis externa. Proteus spp. , Pseudomonas spp. , other Staphylococcus spp. , Streptococcus spp. and Escherichia coli in descending order were also frequently isolated. Gentamicin, norfloxacin, and chloramphenicol in that order were the most effective antimicrobial agents in the management of wounds, surgical site infections and otitis externa in the retrospective study. The study reports the first case of MRSA strains in dogs in Kenya which were associated with mobile genetic elements (SCCmec) and had the potential to be transferred from dogs to humans. The MRSA resistant determinants observed are similar to some human-like isolates reported in several countries.
Variación e distancia lingüística na Romania Antiqua: unha contribución dialectométrica ao debate sobre o grao de individuación da lingua galega

This paper presents a first dialectometric approach to the geolinguistic distribution of the Romance varieties using a new corpus based on the Atlas Linguistique Roman(ALiR) which is currently being developed at the Centro Ramon Pineiro para a Investigacion en Humanidades. The dialectometrization of the ALiR will not only allow us to analyze linguistic distance among the varieties of the Romania Antiqua, but may also shed light from a quantitative perspective on several issues that have historically aroused controversy. Specifically, this paper deals with the degree of individuality of the Galician language with respect to Portuguese and Spanish (a controversy closely related to the still on going debate about the standardization of Galician), and concludes that reinforcing the presence and visibility of elements shared with Portuguese in corpus planning may have a postive effect on its prestige.
Software reliability modeling in distributed development environment

Purpose – The aim of this paper is to propose a software reliability growth model based on stochastic differential equations for the integration testing phase of distributed development environment.Design/methodology/approach – A client/server system (CSS), which is a new development method, has come into existence as a result of the progress of networking technology by UNIX systems. On the other hand, the effective testing method for distributed development environment has only a few presented. The method of software reliability assessment considering the interaction among software components in a distributed one is discussed.Findings – Conventional software reliability growth models for system testing phase in distributed development environment have included many unknown parameters. Especially, the effective estimation method in terms of these unknown parameters, which means the proportion of the total testing‐load for the software component, has never been presented. This software reliability growth m.
Emerging MPEG Standards for Point Cloud Compression

Due to the increased popularity of augmented and virtual reality experiences, the interest in capturing the real world in multiple dimensions and in presenting it to users in an immersible fashion has never been higher. Distributing such representations enables users to freely navigate in multi-sensory 3D media experiences. Unfortunately, such representations require a large amount of data, not feasible for transmission on today’s networks. Efficient compression technologies well adopted in the content chain are in high demand and are key components to democratize augmented and virtual reality applications. Moving Picture Experts Group, as one of the main standardization groups dealing with multimedia, identified the trend and started recently the process of building an open standard for compactly representing 3D point clouds, which are the 3D equivalent of the very well-known 2D pixels. This paper introduces the main developments and technical aspects of this ongoing standardization effort.
Arm-Intent-Detection with Bio-Signals in Virtual Reality

Looking at a huge number of amputees experiencing neuropathic phantom pain limb, this thesis presents the VITA 2.0 platform, targeting phantom pain relief by implementing the classical mirror therapy in virtual reality (VR). Broadly speaking the work surveys myography data collection, interpretation towards arm intention detection and visualisation of sEMG data in a virtual world. It also presents a way of low-cost, occlusion invariant arm constellation tracking to control the pose of a virtual arm. Apart from developing a new and versatile platform, a set of user focused experiments was conducted demonstrating the influence of the arm constellation for a successful intention detection. Whilst targeting healthy participants at this stage, future endeavours are set to include experiments with trans-radial amputees.
Can we prevent child obesity

A dramatic increase in the prevalence of overweight and obesity among children and adolescents has occurred in the last half of the 20th century in virtually every country of the world. The rise is particularly apparent in the last ten years, so that by 2002 some 155 million school-age children worldwide were estimated to be overweight or obese.1 The prevalence differs considerably across different regions (see Figure 1 next page).
RESEARCH ON THE FACTORS LEADING TO EARLY SCHOOL LEAVING

The consequences of early school leaving affect people throughout their entire lives by increasing their risk of unemployment, poverty, and social exclusion, including through reducing their children’s chances of succeeding at school. In the specialized literature, there are several explanatory mechanisms for early school leaving phenomenon, and the factors that influence it are distributed in different orders or on different priority levels. In this paper, we present an analysis of the factors leading to early leaving from vocational education and training, based on two types of research, background research, and through questionnaires, conducted within an Erasmus+ project, in six European countries. In spite of different educational systems, the factors leading to early school leaving do not vary that much from country to country. Some factors sometimes have almost similar values and preferences, and sometimes they differ, less or more, even till the situation they are opposite, from a participating country to another.
Attacks and Defenses for Vulnerability of Cross Site Scripting

Cross Site Scripting enables hackers to steal other user`s information (such as cookie, session etc.) or to do abnormal functions automatically using vulnerability of web application. This attack patterns of Cross Site Scripting(XSS) can be divided into two types. One is Reflect XSS which can be executed in one request for HTTP and its reply, and the other is Stored XSS which attacks those many victim users whoever access to the page which accepted the payload transmitted. To correspond to these XSS attacks, some measures have been suggested. They are data validation for user input, output validation during HTML encoding procedures, and removal of possible risk injection point to prevent from trying to insert malicious code into web application. In this paper, the methods and procedures for these two types are explained and a penetration testing is done. With these suggestions, the attack by XSS could be understood and prepared by its countermeasures.
EVIDENCE-BASED REPORTS FOR IMPROVED PATIENT CARE

Eating Mediterranean on a Budget . 4 Chelation Trial Divides Cardiovascular Community . 5 Gut Bacteria, Red Meat, and CVD . 7 Fish Consumption in Older Adults: New Evidence for a Mortality Benefit . 8 CPE Quiz . 10 NewsBites . 12
Modeling of Malignant Glioma and Investigations into Novel Treatments

markdownabstractAbstract With the advent of personalized medicine and large omics-based profiling studies into multiple diseases, new opportunities rise for the treatment of Malignant Glioma. This primary brain tumor remains unvariantly fatal and therefore urgently requires novel treatment options. In this thesis a novel model for glioma stem-like cells is characterized for molecular recapitulation of driving alterations found in patient tumors. In addition, the model is verified to reproduce in vitro the clinical outcome found in patients treated with the golden standard chemotherapeutic temozolomide. As a result of these characterization studies the model was implemented in several drug screens to explore the possibility of augmentation through combination therapy with temozolomide and oncolytic virotherapy with Delta24-RGD, reovirus and herpes virus. Mechanistic studies into response profiles were undertaken, which provided leads for biomarkers for therapeutic effect and patient selection. In addition, several contemporary reviews are provided to further substantiate these findings and place the data into context with recently published work of others. In conclusion, this thesis provides several leads into the implementation of patient tailored medicine for malignant glioma patients that should subsequently be further validated in animal and patient trials.
ESC/Java2 Implementation Notes

ESC/Java2 is a tool for statically checking program specifications. It expands significantly upon ESC/Java, on which it is built. It is consistent with the definition of JML and of Java 1.4. It adds additional static checking to that in ESC/Java; most significantly, it adds support for checking frame conditions and annotations containing method calls. This document describes the status of the final release of ESC/Java2, along with some notes regarding the details of that implementation.
Mathematical Discontinuities in CIEDE2000 Color Difference Computations

We examine mathematical properties of the CIEDE2000 color difference formula and illustrate that the CIEDE2000 color difference is not a continuous function of the CIELAB color pairs between which the difference is calculated. Particularly, we illustrate that ambiguities in the computation of mean hue angle and hue angle differences of color pairs contribute to a discontinuity in the formula for color pairs chosen 180-degrees apart in CIELAB hue. We analyze and characterize the discontinuity and give a visual presentation that allows better appreciation of its nature. For color pairs under 5 CIELAB delta E units apart, the maximum discontinuity magnitude is bounded by 0.274. For color pairs further apart in CIELAB, the magnitude of the discontinuity rises sharply. The results indicate that care should be exercised in using the formula in Taylor series approximations and that its use should be restricted to small color differences as recommended by the CIEDE2000 standard.
Design and development of a neurorobotic human-like 'guinea pig'

Robotics technology is mature enough to provide helpful tools in the study of biological systems. The recent advances of humanoid robotics led to achievements in the development of human-like body parts and whole bodies, as well as of perceptual systems and schemes for behavior planning and learning. For this reason, a step further can be envisaged in the application of human-like robots as 'guinea pigs' for neuroscientific studies of Man. Aiming at combining humanoid robotics and neurosciences, this is a very promising research area which can he referred to as "neurorobotics". This paper presents a human-like robotic manipulation platform for implementing neuro-physiological models of sensory-motor coordination in human grasping. The system is composed of sensors and actuators replicating some level of anthropomorphism, in the physical structure and/or in the functionality. For this reason, their specifications are defined together with neurophysiologists. Software modules implement human-like basic mechanisms of perception and learning, on which more complex architectures are developed. The system is integrated so as to be as modular as possible and to be rearranged for validating different solutions. The performance of the system in grasping is evaluated by techniques and tools derived from functional evaluation of humans in rehabilitation.
The ISN/RPS 2003 revised classification of lupus nephritis: What have we learned?

form of transglutaminase referred to as surface transglutaminase seems to be present on the apical surface of enterocytes (the enzymically active form is present in the lamina propria). A fragment of gliadin different from that already mentioned binds to surface transglutaminase, and when binding occurs it causes disruption of the enterocyte apical cytoskeleton, leakiness of the tight junctions, and upregulation of IL-15 production by enterocytes, stimulating activation and proliferation of intraepithelial lymphocytes. This cascade of events (which can be blocked by antitransglutaminase antibodies) begins within minutes of exposure to gliadin and may well affect the barrier function of the epithelium sufficiently to allow the immunogenic peptide fragment of gliadin to enter the lamina propria, and initiate the much slower adaptive immune response described above. Thus, transglutaminase seems to be competing with gliadin for the leading role in the pathogenesis of celiac disease, and may yet prove to be a useful target for therapeutic intervention.
Statistical Methods for the Analysis of Alcohol and Drug Uses for Young Adults

Alcohol and drug uses are common in today's society and it is well-known that they can lead to serious consequences. Studies have been conducted in order, for example, to understand short- or long-term tem- poral processes of alcohol and drug uses. This paper discusses statistical modeling for joint analysis of alcohol and drug uses and several models and the corresponding estimation approaches are presented. The methods are applied to a prospective study of alcohol and drug uses on college freshmen, which motivated this investigation. The analysis results suggest that female subjects seem to have much less consequences of alcohol and drug uses than male subjects and the consequences of alcohol and drug uses decrease along with ages.
Variability of the chemical compositions of fatty acids, tocopherols and lipids antioxidant activities, obtained from the leaves of Pistacia lentiscus L. growing in Algeria

BACKGROUND: One of the objectives of food industry is to seek new resources of oil that preferably presents nutritional values. For human health, fats and particularly vegetable oils are considered as an important source of energy when glucose is not available. In addition, the search for effective, natural compounds with antioxidant activity has been intensified in recent years to replace the synthetic products. OBJECTIVE: The aim of the present work was to determine the fatty acids profile (and variability) of the lipid fractions extracted from five different populations of the leaves of Pistacia lentiscus L. growing in Algeria. In addition, the antioxidant activities of the lipidic fractions were also determined. METHODS: The chemical compositions of tocopherols were also analyzed by HPLC for the first time for this plant part. The chemical percentage variability (presence of two main distinguished clusters) of the fatty acids was discussed using statistical analysis methods (Agglomerative Hierarchical Clustering “AHC” and principal component analysis “PCA”). The antioxidant activity of the dewaxed lipid fractions were investigated in vitro using two different assays: DPPH (1,1-diphenyl, 2-picrylhydrazyl) free radicals scavenging activity and β-carotene bleaching test. RESULTS: For the overall samples, the main saturated fatty acids components were capric acid (C10:0 = 2.49–13.88%), myristic acid (C14:0 = 4.71–9.12%) and palmitic acid (C16:0 = 5.31–9.03%). Alternatively, the main unsaturated fatty acids were oleic acid (C18:1w9 = 3.42–4.85%), linoleic acid (C18:2w6 = 10.94–16.99%) and most importantly α-linolenic acid (C18:3w3 = 20.92–48.92%), which is known for its multiple dietary, pharmaceutical and clinical benefits. CONCLUSION: The results of fatty acids methyl esters identification using GC and GC-MS showed a clear variability in the composition of fatty acids. The main result of this study illustrate the nutritional potential (richness in MUFA such as C18:1w9, presence of essential fatty acids such as C18:2w6 at all the stages of maturation, richness in omega-3 fatty acids such as C18:3w3. of the oil of P. lentiscus leaves, which can provide opportunities for rational exploitation for medicinal purposes and in the food industries. Regarding tocopherols HPLC analysis, the samples were rich in α-tocopherol (58.51–89.17% of the total tocopherols identified). Finally, and for antioxidant activity measured by β-carotene assay, the obtained values suggested good antioxidant activities when compared with antioxidants of reference.
Application of knowledge-based cascade-correlation to vowel recognition

Neural network algorithms are usually limited in their ability to use prior knowledge automatically. A recent algorithm, a knowledge-based cascade-correlation (KBCC), extends the cascade-correlation by evaluating and recruiting previously learned networks in its architecture. In this paper, we describe KBCC and illustrate its performance on the problem of recognizing vowels.
Application of Hybrid TOPSIS Method in Selection of Slotting Optimization Program

The selection of slotting optimization program is quite important in making inventory decision.Slotting optimization related to the efficiency of the entire warehouse operations.According to the principle of slotting optimization,an index system is proposed for choosing proper program.Under the consideration of communication uncertainty,qualitative index can be evaluated in the form of interval number,and the model for objective optimization is established by adopting Hybrid TOPSIS method.And an illustrative example is presented to demonstrate the feasibility and practicability of the proposed method in the end.