Miracle-dz/UniFAR-FTUs huggingface dataset:
Epidémiologie et conséquences des infections nosocomiales en réanimation : Impact et conséquences de la résistance bactérienne en réanimation

Les infections nosocomiales a bacteries multi-resistantes sont en constante augmentation en reanimation. Elles ont des consequences individuelles et collectives majeures. La mortalite en reanimation et les prolongations des durees de sejour sont les deux principales consequences individuelles connues a ce jour. Plusieurs facteurs confondants rendent l'interpretation des etudes difficiles, dont l'etat sous jacent du patient, la virulence de la bacterie et l'adequation therapeutique. Mesurer la part de chacun de ces facteurs et preciser leur responsabilite respective est indispensable pour mobiliser les differents acteurs et ameliorer le pronostic des patients en reanimation. Dans cette these nous avons souhaite approcher la reponse quant aux consequences individuelles. A partir d'une base de donnees incluant des patients de reanimation, nous avons utilise les methodes statistiques les plus recentes et avons tente de prendre en compte les differents facteurs confondants , pour repondre a trois questions precises que sont : la mortalite liee a une espece bacterienne donnee, les facteurs associes a la mortalite des patients presentant un sepsis severe ou choc septique en reanimation et les consequences liees a l'isolement des patients infectes ou colonises avec une bacterie multi-resistante. Nous montrons que (1) par l'intermediaire d'une prolongation de la duree de sejour en reanimation, l'infection a Clostridium difficile augmente la pression de colonisation, sans pour autant avoir d'impact direct sur le deces. (2) que le pronostic des sepsis severes et des chocs septiques depend de l'adequation de l'antibiotherapie et que les bacteries resistantes sont plus souvent traitees de maniere inadequate. (3) que l'isolement contact est associe non seulement a une augmentation attendue du risque de pneumonie nosocomiale a germe multi-resistants mais aussi a une augmentation du risque d'erreurs therapeutiques et d'evenements indesirables non infectieux. Cet impact deletere suggere par des etudes en dehors de la reanimation doit etre pris en compte lors de la mise en place des precautions contact en reanimation.
In vitro comparison of the circulaire and AeroTee to a traditional nebulizer T-piece with corrugated tubing.

BACKGROUND: Nebulizers are a popular means of delivering aerosolized medication, primarily albuterol, to the bronchial airways of patients, and there has been extensive research done on numerous nebulizers used with nebulizer T-pieces and corrugated tubing. Very little research has been performed on other types of nebulizer delivery systems and there is no substantial information on how effective various nebulizer delivery systems are in terms of the quantity and particle size of aerosolized medication delivered to the patient. In this study the Circulaire and the AeroTee, two devices that rely on bags to store aerosol during patient exhalation, are evaluated and compared to the conventional nebulizer T-piece with corrugated tubing. METHODS: Three each of the nebulizer T-piece with corrugated tubing, the Circulaire, and the AeroTee were sampled using 3 Vixone nebulizers. Each one of the 3 nebulizer delivery systems used the same 3 Vixone nebulizers. Each nebulizer delivery system was evaluated by connecting a constant-flow vacuum and compressed gas source cycled to simulate patient breathing at a respiratory rate of 14 breaths/min and an inspiration-expiration ratio of 1:2. Medication delivered was determined by sampling a portion of the simulated patient's flow onto a membrane filter and calculating the total medication received by the patient. Particle size was determined by sampling with a cascade impactor under ambient conditions. RESULTS: The Circulaire delivered significantly less medication than the nebulizer T-piece with corrugated tubing (p < 0.001), whereas the AeroTee delivered substantially more medication than the nebulizer T-piece with corrugated tubing (p < 0.001). The particle size delivered by the Circulaire was significantly smaller than that of the nebulizer T-piece with corrugated tubing (p < 0.001), whereas the AeroTee delivered particle size equivalent to a nebulizer T-piece with corrugated tubing (p = 0.82). CONCLUSION: There are clinically important differences between nebulizer delivery systems. When evaluating the optimum means for delivering aerosolized medication, equal consideration should be given to both the brand of nebulizer and the nebulizer delivery system.
What are the Chances of Getting into a UC School? A Look at the Course-Taking Patterns of High School Students For UC Admissions Eligibility. CSE Report 623.

The University of California Office of the President (UCOP) has been concerned about the disproportionately low rate of some racial/ethnic groups on campuses of the University of California and is committed to increasing the enrollment of traditionally underrepresented racial and ethnic groups on UC campuses. To this end, course-taking patterns of high school cohorts are examined to shed light on the disproportionate number of traditionally underrepresented minority students in their UC admissions eligibility. Variables of student characteristics and course grades are analyzed to show a significant difference between the partnership and non-partnership schools, as well as different sub-groups of students. The results show that higher proportions of students from the partnership schools remain eligible for UC admission across a l l variables, and that high course grades from UC required courses (e.g. Algebra 1) increase the probability of being eligible for UC admission. Further, the ethnicity and attendance rates of students are also highly associated with UC eligibility. These factors, as well as some insights into the possible intervention of at-risk students with low rates of UC admission eligibility, are suggested and discussed in this report.
A transfer learning-aided decision support system for multi-cloud brokers

Decision-making in a cloud environment is a formidable task due to the proliferation of service offerings, pricing models, and technology standards. A customer entering the diverse cloud market is likely to be overwhelmed with a host of difficult choices in terms of service selection. This applies to all levels of service, but Infrastructure as a Service (IaaS) level is particularly important for the end user given the fact that IaaS provides more choices and control for application developers. In the IaaS domain, however, there is no straightforward method to compare virtual machine performance and, more generally cost/performance trade-offs, within or across cloud providers. A wrong decision can result in a financial loss as well as a reduced application performance. A cloud broker can help in resolving such issues by acting as an intermediary between the cloud provider and the cloud consumer – hence, serving as a decision support system for assisting the customer in the decision process. In this thesis, we exploit machine learning for building an intelligent decision support system which assists customers in making application-driven decisions in a multi-cloud environment. The thesis examines a representative set of appropriate inference and prediction based learning techniques, that are essential for capturing application behaviour on different deployment setups, such as Polynomial Regression and Support Vector Regression (SVR). In addition, the thesis examines the efficiency of the learning techniques, recognising that machine learning can impose significant training overhead. The thesis also introduces a novel transfer learning aided technique, leading to substantial reduction in this overhead. By definition, transfer learning aims to solve the new problem faster or with a better solution by using the previously learned knowledge. Quantitatively, we observed a reduction of approximately 60% in the learning time and cost by transferring the existing knowledge about the application and cloud platform in order to learn a new prediction model for some other application or cloud provider. Intensive experimentation has been performed in this study for learning and evaluation of proposed decision support system. Explicitly, we have used three different representative applications over two cloud providers, namely Amazon and Google. Our proposed decision support system, enriched with transfer learning methods, is capable of generating decisions that are viable across different applications in a multi-cloud environment. Finally, we also discuss lessons learned in terms of architectural principles and techniques for intelligent multi-cloud brokerage.
Trust leading to hope - the signification of meaningful encounters in Swedish healthcare. The narratives of patients, relatives and healthcare staff

Background: The fact that patients and relatives experience poor healthcare encounters is evident in the number of complaints to patients’ advisory committees, and from studies and statistics. Looking at ‘the other side of the coin’, research into good caring encounters experienced as meaningful encounters in healthcare is scarce.Aim: To illuminate the signification of meaningful encounters in healthcare. 124 narratives from patients, relatives and healthcare staff regarding experiences of meaningful encounters in Swedish healthcare were analysed using a phenomenological hermeneutic research method.Conclusions: The results indicate that a meaningful encounter means gratefulness, is founded on trust, cooperation and courage, and results in self-trust through wellbeing, increased understanding and life-changing insights. The encounters have given insight into, and increased understanding of, the patient’s own life, the families’ lives, and/or healthcare professionals’ lives. With this, and awareness of the importance and power of meaningful encounters, healthcare staff might use a meaningful encounter as a powerful instrument in caring.Implications for practice:For patients and relatives, trust derived from meaningful encounters in healthcare leads to self-trustCaring within healthcare consisting of meaningful encounters, ‘the other side of the coin’ gives important knowledge that could facilitate improvements in healthcare staff’s encounters with patients and relatives, and also enrichment in their own professional developmentIncreased understanding and awareness of the power of meaningful encounters can be discussed in terms of patient safety
Study on the calibration technique for multi-directional affine projection in optical computerized tomography

Researching the combustion process is important core contents in aviation, aerospace and energy engineering. And it has an important significance for the combustion researches to measure the physics parameters by combustion diagnosis and to acquire the 3D transient combustion distribution. Optical computerized tomography (OCT) applied in combustion diagnosis plays an important role in flow field diagnosis for its advantages of non-contact, real time, and 3D full-field measurements. The essence of CT is reconstructing the test field with projections from different directions. And the projections are independent to each other. Therefore, a multi-direction projections calibration should be performed before CT reconstruction, which can remap different projections to a unified coordinate to reduce the system errors from the installations and optical elements. Aiming at this problem, in this project, a multi-direction calibration method based on affine projection is proposed. By studying the affine projection theory, the calibration model was build based on single directional moiré tomographic system. Furthermore, the corresponding algorithm based on the calibration model is proposed. Finally, a multi-directional moiré tomographic system is built and combining with the calibration results for remapping the multi-directional projections, the 3D temperature distribution of the propane combustion flame was reconstructed.
Reader beliefs and meaning construction in narrative text.

This research examined how transmission and transaction beliefs about reading affect comprehension, engagement, and holistic understanding of narrative text. Transaction beliefs, which emphasize reader-generated meaning, were related positively to the type and number of reader responses as well as to the sophistication of one's holistic interpretation. Transmission beliefs, which emphasize understanding the author's intended meaning, were unrelated to all outcome measures. Transmission and transaction beliefs were unrelated to each other. These findings support the view that transaction beliefs facilitate meaning construction of narrative text, whereas transmission beliefs do not.
ADMINISTRATIVE CANDIDACY: A PROCESS OF NEW‐ROLE LEARNING—PART I

Part One of this initial report of a longitudinal study of the organizational socialization of educational administrators offered an analysis of data ordered by the GASing construct and the two related concepts of anticipatory socialization and interpersonal orientation. The data to be analyzed here are ordered using the concepts of situational adjustment and organizational space. A theoretical model interrelating major individual and organizational variables influencing the socialization of administrators during the candidacy portion of their career then builds upon the hypotheses proposed in Part One and Part Two. The paper concludes with a brief discussion of the implications these data portend for both training programs and public school systems, calling special attention to the uniqueness of the long‐term serial character of the socialization of educators as an occupational group.
The Face Recognition Algorithms Based on Weighted LTP

Local Ternary Pattern (LTP) is usually applied for texture classification problems. LTP extends the Local Binary Pattern using the custom threshold and encoding the small pixel difference into third state. Since the amount of information in different face regions is not equal, this paper proposes an approach of weighted LTP to show facial feature effectively. First, the original face image is divided into small blocks, and the LTP characteristic value and histogram of each piece of pixel are calculated. Then the weight of sub histogram is calculated by information entropy and the histogram of whole face image cascade of the histogram of all sub regions, finally, the weighted histogram of whole face image similarity are calculated by chi-square distance, the classification is performed by a nearest neighbor classifier. Experimental results show a better performance on ORL and Yale face database.
Impact of Organizational Justice on Employee Job Satisfaction: An Empirical Investigation

The current study investigates the impact of the three facets of organizational justice on employee job satisfaction as perceived by the respondents in a particular pharmaceutical company in Bangladesh. A total of 76 executives working in the company provided their responses on the questionnaire used for data gathering. The collected data are coded using SPSS version 16. Descriptive statistics reveal the means of three variables of organizational justice and job satisfaction, which are close to 3.0. Reliability of measurement instrument is considered adequate, since all the Cronbach alpha values are found to be above the threshold point of 0.7. Multiple regression is applied to test the hypothesis of the study. The model explains about 75% of the variance in the employee job satisfaction and it is immune to multi-collinearity among the independent variables. The study findings demonstrate significant impact of distributive justice and interactional justice on job satisfaction at P<0.001 and P<0.01 respectively; conversely, procedural justice does not show any significant relationship with the job satisfaction. This research will facilitate the decision makers, particularly the HR managers to better understand the relationship between organizational justice and employee job satisfaction; accordingly, they can formulate suitable strategies that can lead to higher employee performance through job satisfaction by ensuring justice in the organization. Some suggestions for future works are also discussed in the paper.
Testing and Model Identification of a Turbojet Engine Using Neural Networks

A/D Analog to digital ARX AutoRegressive with eXternal input b A bias of a neuron unit Gf Fuel flow rate (kg/s) GSP Gas turbine simulation program I/O Input and output logsig The sigmoid function n Engine revolution speed,(rpm) NN Neural networks Abstract: Artificial Neural Networks (NN) are a well-known tool among artificial intelligence techniques that are able to reproduce arbitrary relationships existing between input and output variables of even highly non-linear systems.
The study of the trainable prosodic model for Chinese text to speech system

Mandarin prosody is characterized by its hierarchical structures when it is influenced by the context. An artificial on this, a neural network, with specially weighted factors and optimizing outputs, is described and applied to construct the Mandarin prosodic model in a TTS system for Chinese. Extensive tests show that the structure of the artificial neural network characterizes the Mandarin prosody more exactly than traditional models. Learning rate is speeded up and computational precision is improved, which makes the whole prosodic model more efficient. Furthermore, the paper also stylizes the Mandarin syllable pitch contours with SPiS parameters (Syllable Pitch Stylized Parameters), and analyzes them in adjusting the syllable pitch. It shows that the SPiS parameters effectively characterize the Mandarin syllable pitch contours, and facilitate the establishment of the network model and the prosodic controlling.
Estimation of PN Code of DS-CDMA Signals over Frequency selective Fading Channel in presence of Impulsive noise

Spread spectrum signals are widely used for secure communications, as well as for multiple access interference (MAI). They have many interesting properties, including low probability of interception. Indeed, direct sequence spread spectrum systems (DSSSS) use a periodical pseudo-random sequence to modulate the baseband signal before transmission. Interception of DSSS signals is a difficult task due to the hiding of the PN sequence, especially if the accompanied noise is non-Gaussian and the channel is frequency selective. In this paper, a receiver is proposed to intercept asynchronous direct sequence code division multiple access (DS-CDMA) signals received from different users and estimate the PN sequences of each one of them. The signals are assumed to be transmitted over frequency selective fading channel and contaminated with Class-A impulsive noise. The proposed interception receiver is based on Independent Component Analysis (ICA), the pseudo random sequences is estimated from the eigenvector subspace in case of single path. In multipath situations, the estimation is the overlapped form of the pseudo random sequences, a triple correlation function (TCF) is introduced to eliminate the influence of multipath. The performance of proposed receiver is evaluated in terms of the number of correct estimated codes for m-sequence over typical urban channel in presence of impulsive noise. The results show that the interception receiver performs is 100% code estimation at -8dB signal to noise ratio.
A comprehensive review of Rubia cordifolia linn

Rubia cordifolia Linn. (manjishtha) is popularly known as ‘Indian Madder’. Roots are traditionally used as anti-inflammatory, astringent, tonic, antiseptic, deobstruent, antidysenteric, blood purifier. It is an important ingredient of many ayurvedic preparations. The roots are natural red dye and are very effective in purifying blood. Various chemical constituents like anthraquinones, iridoid glycoside, naphthoic acid esters, bicyclic hexapeptides, and triterpenes have been isolated and identified from Rubia cordifolia Linn. The present review article is focused on phytochemical, pharmacological and other important aspects of manjishtha.
An Alternative Approach to Method Effects by Using Latent-Variable Models: Applications in Organizational Behavior Research

Recent research in the area of organizational behavior on social desirability and negative affectivity as potential sources of artifactual covariance is reviewed. Next, an example of a latent-variable structural equation approach is presented as a more appropriate strategy for analyzing method effects that circumvents problems associated with prior statistical techniques. This example illustrates the specification of a structural equation model with and without method effects and describes the sequence of model comparisons that provides direct tests for the presence of method effects and for the impact of these effects on estimates of substantive relationships. Finally, this latent-variable approach is discussed with regard to other potential applications involving method effects. An important stream of research on method variance in organizational behavior studies has attempted to directly measure some of the variables associated with common effects of method
Leg Strength Declines With Advancing Age Despite Habitual Endurance Exercise in Active Older Adults

Abstract Marcell, TJ, Hawkins, SA, and Wiswell, RA. Leg strength declines with advancing age despite habitual endurance exercise in active older adults. J Strength Cond Res 28(2): 504–513, 2014—Age-associated loss of muscle mass (sarcopenia) and strength (dynapenia) is associated with a loss of independence that contributes to falls, fractures, and nursing home admissions, whereas regular physical activity has been suggested to offset these losses. The purpose of this study was to evaluate the effect of habitual endurance exercise on muscle mass and strength in active older adults. A longitudinal analysis of muscle strength (≈4.8 years apart) was performed on 59 men (age at start of study: 58.6 ± 7.3 years) and 35 women (56.9 ± 8.2 years) who used endurance running as their primary mode of exercise. There were no changes in fat-free mass although body fat increased minimally (1.0–1.5%). Training volume (km·wk−1, d·wk−1) decreased in both the men and women. There was a significant loss of both isometric knee extension (≈5% per year) and knee flexion (≈3.6% per year) strength in both the men and women. However, there was no significant change in either isokinetic concentric or eccentric torque of the knee extensors. Our data demonstrated a significant decline in isometric knee extensor and knee flexor strength although there were no changes in body mass in this group of very active older men and women. Our data support newer exercise guidelines for older Americans suggesting resistance training be an integral component of a fitness program and that running alone was not sufficient to prevent the loss in muscle strength (dynapenia) with aging.
Multiple discrepancies and pay satisfaction.

Le but de l'etude presentee dans cet article est de tester l'hypothese des «multiples desaccords» («multiple discrepancies») dans le domaine de la satisfaction avec son salaire. Cette hypothese postule que cette satisfaction est determinee par un processus evaluatif dans lequel le salaire actuel est compare simultanement a plusieurs normes de comparaison
Association of brain c-tubulins with ab-tubulin dimers

*Institute of Molecular Genetics, Department of Biology of Cytoskeleton, Academy of Sciences of the Czech Republic, 142 20 Prague 4, Czech Republicand ‰Institute of Molecular Biotechnology, Department of Molecular Cytology and Electron Microscopy, D 07745 Jena, Germanyc-Tubulin is necessary for nucleation and polar orientation ofmicrotubules