Miracle-dz/UniFAR-FTUs huggingface dataset:
Social Work Perspectives of Quality in Nursing Homes Compared to Minnesota Nursing Home Report Card and Nursing Home Compare

The number of older adults requiring nursing home level of care continues to rise and is expected to continue as the baby boom generation ages. The quality of nursing home care has been a significant policy issue for several years, as poor quality of care continues to be an endemic problem in many of the U.S nursing homes. The Nursing Home Reform Act passed in 1987 was designed to set quality standards to improve nursing home care quality. In 1998 the Centers for Medicare and Medicaid responded by implementing Nursing Home Compare, which is a tool to inform consumers about nursing home quality. Social workers often play a key role in advocating for resident rights and ensuring residents’ psychosocial needs are being met. Care quality can have a large impact on the overall wellbeing of a resident. The purpose of this study was to learn about nursing home social workers perspectives of what quality care is and if their perspectives are similar to quality indictors identified on the Minnesota Nursing Home Report Card and Nursing Home Compare. Eight nursing home social workers participated in individual semi-structured interviews answering fourteen questions regarding their perspectives of quality care in the nursing home setting. The participants’ responses demonstrated similar quality care indicators compared to the Minnesota Nursing Home Report Card and Nursing Home Compare. Participants’ responses evolved into themes regarding resident centered care and quality of life, quality indicators and lack of response, staffing ratios, retention and burnout, leadership and empowerment, awareness and use of report cards and informed consumers. Developing an understanding of indicators that contribute towards good quality care in the nursing home setting will allow social workers to advocate for residents to ensure they experience the highest achievable quality of life possible. SOCIAL WORK PERSPECTIVES OF QUALITY IN NURSING HOMES iii
Identification of Best Load Flow Calculation Method for IEEE-30 BUS System Using MATLAB

This paper presents the load flow calculation of the power system for IEEE-5 and IEEE-30 bus system. The Load flow calculation is the backbone of power system analysis and design. They are essential for planning, operation, economic scheduling and exchange of power among utilities. The primary information of load flow calculation is to determine the voltage magnitude and phase angle at each bus in the system in addition with real power and reactive power flow in each transmission lines. In this analysis, iterative schemes are used due to there no known analytical scheme to solve the problem. To finish this analysis there are methods of Mathematical calculations which consist plenty of step depend on the size of system. This process is difficult and takes a lot of times to perform by hand. The objective of this project is to develop a programming in MATLAB SOFTWARE for load flow analysis that will help the analysis become easier.
The Fate of Nitrofen in Rape, Redroot Pigweed, and Green Foxtail

The fate of 2,4-dichlorophenyl p-nitrophenyl ether (nitrofen) in the foliage of rape (Brassica campestris L. ‘Echo’), redroot pigweed (Amaranthus retroflexus L.), and green foxtail (Setaria viridis (L.) Beauv. ) was investigated with the aid of 14C-nitrofen. Only limited amounts of the label were translocated in these species. Plants treated with 14C-nitrofen under high light conditions produced several labelled compounds of different molecular size and chromatographic properties. The time at which these compounds were first detectable depended on light intensity. At least two of these compounds are lipid-nitrofen conjugates or nitrofen polymers and others may be formed by cleavage of nitrofen at the ether linkage.
Application of simple dynamic recurrent neural networks in solid granule flowrate modeling

To build the solid granule flowrate model by the simple dynamic recurrent neural network (SRNN) is presented in this paper. Because of the dynamic recurrent neural network has the characteristic of intricate network structure and slow training algorithm rate, the simple recurrent neural network without the weight values on recursion layer is studied. The recurrent prediction error (RPE) learning algorithm for SRNN by adjustment the weight value and the threshold value is reduced. The modeling result of solid granule flowrate indicates that it has fast convergence rate and the high precision the model. It can be used on real time.
Sawtooth Software

Choice simulators have provided very useful ways to allow researchers to project from individual or group preference models to predictions of market share. We propose that effective choice simulators need three properties to effectively mirror market behavior. First, they need to display differential impact so that a marketing action at the individual or homogeneous segment level has maximal impact near a threshold but has minimal impact otherwise. Second, simulators need to reflect differential substitution, assuring that alternatives take proportionately more share from similar than dissimilar competitors. Finally, they need to exhibit differential enhancement , a property whereby a small value difference has a big impact on highly similar competitors but almost none on dissimilar ones. A new method we call Randomized First Choice enables simulators to closely match these properties in market behavior. The method begins with a first choice model in which the item with the highest utility is chosen, but modifies that by adding two kinds of variability. The first, product value variability, adds variability to the alternatives, while the second, attribute value variability, adds variability to attribute part worths. While product variability is mathematically equivalent to the commonly used adjustment for scale, we show that attribute variability is also critical to approximate desired substitution and enhancement properties among similar alternatives. We test the value of adding both kinds of error in a choice-based conjoint study of 352 consumers. Respondents make choices among specially designed holdout sets that include near and perfect duplicates. Comparing predictions against actual choice shares for these stimuli provides a strong test of the predictive ability of various choice simulators. Additionally, we illustrate the way the methods differ in their representation of differential impact, substitution and enhancement. We assess the impact of Randomized First Choice applied to four commonly used models: an aggregate logit model, a latent class model, and individual-level models, Sawtooth Software’s ICE and hierarchical Bayes. The pooled models, aggregate logit and latent class, gain the most. Additionally, we show that the desired properties of differential enhancement and differential substitution require either individual-level data or the addition of attribute variability. We propose that Randomized First Choice provides a general way to adjust conjoint shares to
Specification and proof in real-time CSP

Computing systems are becoming highly complex, harder to understand, and therefore more prone to failure. Where such systems control aircraft for example, system failure could have disastrous consequences. It is important therefore that we are able to employ mathematical techniques to specify the behavior of critical systems. This thesis uses the theory of Communicating Sequential Processes to show how a real-time system (a system that maintains a continuous interaction with its environment) may be specified. Included is a case study in which a local area network protocol is described at two levels of abstraction, and a general method for structuring CSP descriptions of layered protocols is given. The research contained here represents the very latest work on the specification and verification of real-time systems.
Sexual Function in Pregnant Women in the Public Health System

Introduction: Pregnancy is a unique situation and involves changes in sexuality. The aim is to evaluate sexual function and satisfaction in pregnant women under prenatal care provided by the public health system. Method: Cross-sectional study with pregnant women receiving ambulatory care in the public health system in the Southern region of Brazil conducted between November 2014 and September 2015. Results: 283 pregnant women were studied. The mean age was 27.7 ± 6.3 years; 64% were white and 31.1% were nulliparous. In the total sample, 8.50% were in the first trimester of pregnancy, 37.4% were in the second trimester, and 54.1% were in the third trimester. The rate of global sexual dysfunction (score < 26 points) was 55.5%, following the application of The Female Sexual Function Index (FSFI). Sexual dysfunction was significantly more prevalent in the third trimester (62%) compared to the first (33.3%) and second (50.9%) trimesters (p = 0.015). There was a significant difference in all domains, except in the desired domain, according to the trimester. Pregnant women in the third trimester showed significantly lower scores compared to those in the first trimester in the domains with significance. Conclusion: The prevalence of sexual dysfunction among pregnant women in the public system was high. Knowing that more than 50% of the pregnant women presented sexual dysfunction, it is essential to approach sexuality during prenatal care involving the couple.
The Study of Reconfigurable Antennas and Associated Circuitry

This research focuses on the design of pattern reconfigurable antennas and the associated circuitry. The proposed pattern reconfigurable antenna designs benefit from advantages such as maximum pattern diversity and optimum switching circuits to realise 5G reconfigurable antennas. Whereas MIMO based solutions can provide increased channel capacity, they demand high computational capability and power consumption due to multiple channel processing. This prevents their use in many applications most notably in the Internet of Things where power consumption is of key importance. A switched-beam diversity allows an energy-efficient solution improving the link budget even for small low-cost battery operated IoT/sensor network applications. The main focus of the antenna reconfiguration in this work is for switched-beam diversity. The fundamental switching elements are discussed including basic PIN diode circuits. Techniques to switch the antenna element in the feed or shorting the antenna element to the ground plane are presented. A back-to-back microstrip patch antenna with two hemispherical switchable patterns is proposed. The patch elements on a common ground plane, are switched with a single-pole double-throw PIN diode circuit. Switching the feed selects either of two identical oppositely oriented radiation patterns for maximum diversity in one plane. The identical design of the antenna elements provides similar performance control of frequency and radiation pattern in different states. This antenna provides a simple solution to cross-layer PIN diode circuit designs. A
Reducing Multi-user Interference through Rotation Matrix

A new method through rotation matrix in MIMO system is proposed in this paper, which increases the distance of code-words and decreases the pair wise error probability. Compared with some traditional ways, this method is bandwidth-efficient. A detection method MMSE-ML is used for the simple algorithm. The computer simulation results confirmed that in high SNR, this method can efficient decrease multi-user interference without any coding or bandwidth expansion. Using MMSE-ML detection, 3.2E-3 BER reached at 22 dB SNR.
Multimodal MRI Study of Human Brain Connectivity: Cognitive Networks

Aquesta tesi inclou 6 estudis en els quals s’han utilitzat diversos metodes d’imatge per ressonancia magnetica (IRM) per caracteritzar la connectivitat cerebral i la seva relacio amb l’estat cognitiu en joves sans, persones d’edat avancada i pacients amb malaltia d’Alzheimer. Les tecniques d’IRM permeten estudiar la connectivitat estructural a partir del Tensor de Difusio (DTI), i la connectivitat funcional mitjancant la IRM funcional (IRMf), mesurada durant l’execucio d’una tasca o durant el repos. S’ha descrit un conjunt de xarxes neuronals, que inclou la xarxa neuronal per defecte (o Default Mode Network, DMN). Utilitzant IRMf en un grup de joves sans, es va trobar que la connectivitat de la DMN, durant el repos previ a una tasca correlacionava amb el rendiment. A mes, l’estat de les xarxes implicades en la tasca tambe correlaciona amb l’execucio. En un altre grup de joves sans, es van estudiar les xarxes implicades en la memoria de treball amb estimuls facials o espaials. Es van descriure regions i connexions especifiques per la memoria de treball amb cares, que implicaren el fusiforme i la regio frontal inferior. Posteriorment, es van estudiar les xarxes de la memoria de treball en l’envelliment. Els subjectes d’edat avancada amb correcta execucio mostraren increments d’activitat en regions frontals bilaterals, indicant mecanismes compensatoris. Tambe es varen estudiar patrons de connectivitat global, utilitzant IRM en repos i graph-theory en un grup de 98 subjectes d’edat avancada. L’edat correlaciona amb un decrement de la connectivitat funcional en les connexions llargues i un increment en les curtes. Els subjectes mes grans presentaren mes clustering funcional, sobretot en regions frontals i parietals, indicant un increment de la segregacio. Les mesures obtingudes es van relacionar amb la memoria visual i verbal. A continuacio es varen estudiar els patrons d’interaccio de les xarxes neuronals tambe en el context de l’envelliment. La connectivitat entre els components de la DMN correlaciona negativament amb l’edat, mentre que la connectivitat entre diferents sistemes augmenta amb l’edat. Aquestes interaccions es relacionaren amb la memoria i les funcions executives. Finalment, es va utilitzar la IRMf en subjectes amb una mutacio en el gen Presenilin-1, causant de la malaltia d’Alzheimer. Es van trobar alteracions funcionals en la DMN i en una tasca de memoria episodica, fins i tot en aquells subjectes que estaven lluny de l’edat d’inici de la malaltia. En resum, hem pogut demostrar la utilitat de la IRMf per a estudiar xarxes de connectivitat cerebral i hem pogut concloure que aquestes correlacionen amb l’estat cognitiu i amb l’execucio de les tasques. A mes, s’han descrit alteracions en la connectivitat durant l’envelliment sa i en la malaltia d’Alzheimer, fins i tot abans de l’aparicio de simptomes clinics. La DMN apareix com un sistema altament implicat en cognicio en subjectes joves sans, pero tambe com el sistema mes vulnerable tant en l’envelliment com en la malaltia d’Alzheimer.
Multimodal Retrieval With Asymmetrically Weighted Truncated-SVD Canonical Correlation Analysis

Joint modeling of language and vision has been drawing increasing interest. A multimodal data representation allowing for bidirectional retrieval of images by sentences and vice versa is a key aspect of this modeling. In this paper we show that canonical correlation analysis (CCA) can be adapted to bidirectional retrieval by a simple task dependent asymmetric weighting, which solves optimally the retrieval problem in a least squares sense. While regularizing CCA is known to improve numerical stability as well as generalization performance, less attention has been brought to the efficient computation of the regularization path of CCA, which is key to model selection. In this paper we develop efficient algorithms to compute the full regularization path of CCA within the classical Tikhonov and the truncated SVD (T-SVD CCA) regularization frameworks. T-SVD CCA is new to the best of our knowledge, and its regularization path can be computed more efficiently than its Tikhonov counterpart.
Endophthalmitis : Diagnosis and Treatment

EXOGENOUS ENDOPHTHALMITIS Acute Postoperative Endophthalmitis Chronic Endophthalmitis OTHER CAUSES OF EXOGENOUS ENDOPHTHALMITIS Filtering Procedure Post-Traumatic Endophthalmitis Retinal Detachment Surgery Pars plana vitrectomy Refractive Keratotomy Penetrating Keratoplasty Keratoprosthesis Secondary Lens Implantation ENDOGENOUS ENDOPHTHALMITIS Epidemiology Pathophysiology Classification of Bacterial Endogenous Endophthalmitis Candida Aspergillosis Cryptococcosis Pseudoallescherosis Laboratory Work-up Treatment and Management MICROBIOLOGY Bacterial cell Wall Organisms Chemical tests for Differentiating Organisms Culturing Medium Plating and Culturing Gram Staining Procedure Technique INFLAMMATION Ocular Immune Privilege Fibrin Membrane Formation Ocular Sequelae of Fibrin and Fibrinogen Peptides Inflammatory Response Differential Diagnosis Masquerade Syndrome Infectious Uveitis Inflammatory Uveitis Immunologic Uveitis USE OF STEROIDS AS ADJUNCTIVE TREATMENT Corticosteroids Modulating immune response Visual acuity Drug Interaction Toxicity Timing Summary of Studies PHARMACOLOGY Fluoroquinolones Cephalosporins Vancomycin Aminoglycoside Penicillin Others
Assemblages innovants en électronique de puissance utilisant la technique de « Spark Plasma Sintering »

L'augmentation des temperatures de fonctionnement est une des evolutions actuelles de l'electronique de puissance. Ce fonctionnement entraine d’une part des changements de la structure des modules de puissance notamment des structures « 3D » pour assurer un refroidissement double face des composants de puissance, et d’autre part l’utilisation de materiaux qui permettent de reduire des contraintes thermomecaniques, liees a la difference de coefficient de dilatation des materiaux, lors d’une montee en temperature. Le travail realise au cours de cette these consiste a developper une nouvelle structure « 3D » basee sur une technique de contact par des micropoteaux en cuivre, elabores par electrodeposition et ensuite assembles a un substrat ceramique metallise (notamment, un DBC : Direct Bonding Copper). Pour realiser ce contact, une technique de frittage par SPS (Spark Plasma Sintering) est utilisee. Nous etudions dans un premier temps le collage direct de cuivre sur des massifs, puis effectuons dans un deuxieme temps le collage de cuivre entre les micropoteaux et le DBC. Cette technique SPS est aussi utilisee pour la realisation d’un nouveau substrat ceramique metallise base sur des materiaux avec des coefficients de dilatation thermique accordes, pour les applications a haute temperature.
Effects of exposure to flour dust on respiratory symptoms and pulmonary function of mill workers

Background: Exposure to flour dust is associated with development of respiratory symptoms and varying degree of reduction in lung function. The aim of the study was to assess the effect of Exposure to flour dust on respiratory symptoms and lung function of flour mill workers and to estimate the additive effect of smoking on pulmonary functions. METHODS:: This study was carried out at flour mills in Sohag Governorate . Two hundried male workers with current exposure to flour dust and Two hundried non-exposed male as a control group were interviewed and self designed study questionnaire was administered to them and the parameters of their pulmonary function were measured. RESULTS:: respiratory symptoms such as cough, expectoration, wheezing, and shortness of breath, were significantly (p CONCLUSIONS:: flour mill workers were at an increased risk of developing pulmonary symptoms & a strong association exists between exposure to flour dust and the prevalence of respiratory symptoms and functional impairments of the lungs.
Multistage amplifier topologies with nested Gm-C compensation

This paper presents a multistage amplifier for low-voltage applications (<2 V). The amplifier consists of simple (noncascode) low gain stages and is stabilized using a nested transconductance-capacitance compensation (NGCC) scheme. The resulting topology is similar to the well known nested Miller compensation (NMC) multistage amplifier, except that the proposed topology contains extra G/sub m/ feedforward stages which are used to enhance the amplifier performance. The NGCC simplifies the transfer function of the proposed multistage amplifier which, in turn, simplifies its stability conditions. A comparison between the NGCC and NMC shows that the NGCC has wider bandwidth and is easier to stabilize. A four-stage NGCC amplifier has been fabricated using a 2-/spl mu/m CMOS process and is tested using a /spl plusmn/1.0 V power supply. A dc gain of 100 dB has been measured. A gain bandwidth product of 1 MHz with 58/spl deg/ of phase margin and power of 1.4 mW can be achieved. The op amp occupies an active area of 0.22 mm/sup 2/. Step response shows that the op amp is stable.
Learning at home with information and communication technologies

Digitisation and the convergence of computing and telecommunications have led to a range of information and communication technologies (ICT) that have the potential to transform education. ICT are being used by teachers and learners in conventional universities and colleges as well as in tertiary institutions that serve the needs of distance learners, be they home‐based or in some other off‐campus location. They can enable distance learners to receive and interact with educational materials and resources and to engage with teachers and peers in ways that previously may have been impossible. However, the domestic contexts within which home‐based learners undertake their studies are complex and highly varied and these circumstances impact upon the educational process (Kirkwood 1995). There is a need to examine not only the nature of the relationships between learners and the technologies, but also the social relationships within the domestic setting. It is important for course designers and developers to consider issues of access to ICT ‐ both quantitative and qualitative ‐ in the homes of their target student audience in order to develop a better understanding of their learners. Significant disparities in access exist, both within and between countries, and these can exacerbate existing educational advantages and inequities. Greater awareness of the diverse environments within which home‐based learning takes place should help inform the planning and design of courses and materials that are appropriate for such varied contexts.
Reference distance as a metric for data locality

We propose the reference distance as a metric for data locality. Reference distance is the number of referenced memory blocks between two successive references to the same memory block. The effectiveness of program transformations for data locality can be evaluated by using reference distance. Our claim is demonstrated by showing the change in data locality and speedup of matrix multiplication due to loop interchange, loop tiling, and loop unrolling. We also present a result of an experiment using loop distribution and unrolling with respect to two subroutines of Perfect benchmark programs. Reference distance would serve as a useful tool for developing a program transformation scheme for data locality optimization.
Bailey & Love's Short Practice of Surgery

in congestive cardiac failure, the authors mention the possibility that an as yet unidentified pyrogenic steroid allied to etiocholanolone may play an important role. However, the oruy study of lHaSI1lU levels ul trus steroid in patients with congestive cardiac failure as yet published gave no support to this suggestion. The only original work of the authors appears to relate to a study of intestinal absorption in 22 patients with congestive cardiac failure. Although demonstrating some evidence of malabsorption, the results are difficult to interpret because of a markedly deranged circulatory state and impaired renal ru nctrun. The question of protein-losing gastroenteropathy is briefly mentioned. After spending an hour with this little book, one wonders why it was published as a monograph and not merely as a paper on "Intestinal Absorption Studies in Congestive Cardiac Failure".