Miracle-dz/UniFAR-FTUs huggingface dataset:
A multi-response multilevel model with application in nurse care coordination

ABSTRACT Due to the aging of our society, patient care needs to be well coordinated within the health care team in order to effectively manage the overall health of each patient. Staff nurses, as the patient's “ever-present” health care team members, play a vital role in the care coordination. The recently developed Nurse Care Coordination Instrument (NCCI) is the first of its kind that enables quantitative data to be collected to measure various aspects of nurse care coordination. Driven by this new development, we propose a multi-response multilevel model with joint fixed effect selection and joint random effect selection across multiple responses. This model is particularly suitable for modeling the unique data structure of the NCCI due to its ability of jointly modeling of multilevel predictors, including demographic and workload variables at the individual/nurse level and characteristics of the practice environment at the unit level and multiple response variables that measure the key components of nurse care coordination. We develop a Block Coordinate Descent algorithm integrated with an Expectation-Maximization framework for model estimation. Asymptotic properties are derived. Finally, we present an application to a data set collected across four U.S. hospitals using the NCCI and discuss implications of the findings.
Analysis of current density and related parameters in spinal cord stimulation.

A volume conductor model of the spinal cord and surrounding anatomical structures is used to calculate current (and current density) charge per pulse, and maximum charge density per pulse at the contact surface of the electrode in the dorsal epidural space, in the dorsal columns of the spinal cord and in the dorsal roots. The effects of various contact configurations (mono-, bi-, and tripole), contact area and spacing, pulsewidth and distance between contacts and spinal cord on these electrical parameters were investigated under conditions similar to those in clinical spinal cord stimulation. At the threshold stimulus of a large dorsal column fiber, current density and charge density per pulse at the contact surface were found to be highest (1.9.10(5) microA/cm2 and 39.1 microC/cm2.p, respectively) when the contact surface was only 0.7 mm2. When stimulating with a pulse of 500 microseconds, highest charge per pulse (0.92 microC/p), and the largest charge density per pulse in the dorsal columns (1.59 microC/cm2. p) occurred. It is concluded that of all stimulation parameters that can be selected freely, only pulsewidth affects the charge and charge density per pulse in the nervous tissue, whereas both pulsewidth and contact area strongly affect these parameters in the nonnervous tissue neighboring the electrode contacts.
Application-specific Network-on-Chip architecture synthesis based on set partitions and Steiner Trees

This paper considers the problem of synthesizing application-specific network-on-chip (NoC) architectures. We propose two heuristic algorithms called CLUSTER and DECOMPOSE that can systematically examine different set partitions of communication flows, and we propose Rectilinear-Steiner-tree (RST) based algorithms for generating an efficient network topology for each group in the partition. Different evaluation functions in fitting with the implementation backend and the corresponding implementation technology can be incorporated into our solution framework to evaluate the implementation cost of the set partitions and RST topologies generated. In particular, we experimented with an implementation cost model based on the power consumption parameters of a 70 nm process technology where leakage power is a major source of energy consumption. Experimental results on a variety of NoC benchmarks showed that our synthesis results can on average achieve a 6.92 x reduction in power consumption over the best standard mesh implementation. To further gauge the effectiveness of our heuristic algorithms, we also implemented an exact algorithm that enumerates all distinct set partitions. For the benchmarks where exact results could be obtained, our CLUSTER and DECOMPOSE algorithms on average can achieve results within 1% and 2% of exact results, with execution times all under 1 second whereas the exact algorithms took as much as 4.5 hours.
Fast iterative approach to difference scattering from the target above a rough surface

The difference field radar cross section (d-RCS) has been defined to analyze the scattering from the target above a rough surface, which takes account of scattering from the target and multiinteractions of the target and underlying rough surface. The d-RCS removes the effect of the finite illuminated surface length under the tapered wave incidence. In this paper, the electric field integral equations (EFIEs) of the difference-induced current J/sub sd/ on the rough surface and the induced current J/sub o/ on the target are derived. A small section of rough surface toward the target in the specular direction is taken to speed up computation of the scattering contribution E/sub s0/ from the moderate rough surface to the target. Then, an iterative approach is developed to solve the EFIEs of the induced currents, directly, and yields the bistatic d-RCS. A finite rough surface length for numerical iteration is taken, corresponding to the dependence on the maximum scattering angle. Using the Monte Carlo method to generate rough surface, the bistatic d-RCS of the target, e.g., a cylinder or a square column, above a Pierson-Morkowitz rough surface is numerically simulated. The induced currents on the target and the d-RCS are discussed, and compared with the case of the target in free-space.
Resistance training and executive functions: a 12-month randomized controlled trial.

BACKGROUND Cognitive decline among seniors is a pressing health care issue. Specific exercise training may combat cognitive decline. We compared the effect of once-weekly and twice-weekly resistance training with that of twice-weekly balance and tone exercise training on the performance of executive cognitive functions in senior women. METHODS In this single-blinded randomized trial, 155 community-dwelling women aged 65 to 75 years living in Vancouver were randomly allocated to once-weekly (n = 54) or twice-weekly (n = 52) resistance training or twice-weekly balance and tone training (control group) (n = 49). The primary outcome measure was performance on the Stroop test, an executive cognitive test of selective attention and conflict resolution. Secondary outcomes of executive cognitive functions included set shifting as measured by the Trail Making Tests (parts A and B) and working memory as assessed by verbal digit span forward and backward tests. Gait speed, muscular function, and whole-brain volume were also secondary outcome measures. RESULTS Both resistance training groups significantly improved their performance on the Stroop test compared with those in the balance and tone group (P < or = .03). Task performance improved by 12.6% and 10.9% in the once-weekly and twice-weekly resistance training groups, respectively; it deteriorated by 0.5% in the balance and tone group. Enhanced selective attention and conflict resolution was significantly associated with increased gait speed. Both resistance training groups demonstrated reductions in whole-brain volume compared with the balance and tone group at the end of the study (P < or = .03). CONCLUSION Twelve months of once-weekly or twice-weekly resistance training benefited the executive cognitive function of selective attention and conflict resolution among senior women. TRIAL REGISTRATION clinicaltrials.gov Identifier: NCT00426881.
Identification of five patterns of nucleosome positioning that globally describe transcription factor function

Following the binding of transcription factors (TF) to specific regions, chromatin remodeling including alterations in nucleosome positioning (NP) occurs. These changes in NP cause selective gene expression to determine cell function. However whether specific NP patterns upon TF binding determine the transcriptional regulation such as gene activation or suppression is unclear. Here we identified five patterns of NP around TF binding sites (TFBSs) using fixed MNase-Seq analysis. The most frequently observed NP pattern described the transcription state. The five patterns explained approximately 80% of the whole NP pattern on the genome in mouse C2C12 cells. We further performed ChIP-Seq using the input obtained from the fixed MNase-Seq. The result showed that a single trial of ChIP-Seq could visualize the NP patterns around the TFBS and predict the function of the transcriptional regulation at the same time. These findings indicate that NP can directly predict the function of TFs.
Methods of sputum processing for cell counts, immunocytochemistry and in situ hybridisation

Since the first attempts to use standardised methods for sampling induced airways sputum, two methods for processing the expectorate have evolved. The first involves selecting all viscid or denser portions from the expectorated sample with the aid of an inverted microscope 1, 2. This method has been extensively evaluated and reported in detail 2–4. The second approach involves processing the entire expectorate, comprising sputum plus variable amounts of saliva 5. Recent modifications to this method include collecting saliva and sputum separately in order to reduce salivary contamination 6–8. Both methods have advantages and disadvantages. The advantages of using selected sputum are: squamous cell contamination is 20% of all recovered cells 4. There is conflicting data as to whether or not differential cell counts (DCCs) differ between the two methods. One study reported a higher percentage of eosinophils in sputum processed by the selection method compared to the entire expectorate 9 but this has not been confirmed in other studies 2, 6, 10. Although, both the selected …
A risk model for thrombocytopenia requiring platelet transfusion after cytotoxic chemotherapy.

Severe thrombocytopenia is a rare but life-threatening side effect of cytotoxic chemotherapy for which risk factors are not well known. Our objective was to delineate a risk model for chemotherapy-induced thrombocytopenia requiring platelet transfusions in cancer patients. Univariate and multivariate analysis of risk factors for chemotherapy-induced thrombocytopenia requiring platelet transfusions were performed on the cohort of the 1,051 patients (CLB 1996) treated with chemotherapy in the Department of Medicine of the Centre Léon Bérard (CLB) in 1996. In univariate analysis, performance status (PS) greater than 1, platelet count less than 150, 000/microL at day 1 (d1) before the initiation of chemotherapy, d1 lymphocyte count < or = 700/microL, d1 polymorphonuclear leukocyte count less than 1,500/microL, and the type of chemotherapy (high risk v others) were significantly associated (P < .01) with an increased risk of severe thrombocytopenia requiring platelet transfusions. Using logistic regression, d1 platelet count less than 150,000/microL (odds ratio [OR], 4.3; 95% confidence interval [CI], 1.9 to 9.6), d1 lymphocyte counts < or = 700/microL (OR, 3.37; 95% CI, 1.77 to 6.4), the type of chemotherapy (OR, 3.38; 95% CI, 1.77 to 6.4), and PS greater than 1 (OR, 2.23; 95% CI, 1.22 to 4.1) were identified as independent risk factors for platelet transfusions. The observed incidences of platelet transfusions were 45%, 13%, 7%, and 1.5% for patients with > or = 3, 2, 1, or 0 risk factors, respectively. This model was then tested in 3 groups of patients treated with chemotherapy used as validation samples: (1) the series of 340 patients treated in the CLB in the first 6 months of 1997, (2) the prospective multicentric cohort of 321 patients of the ELYPSE 1 study, and (3) the series of 149 patients with non-Hodgkin's lymphoma treated in the CLB within prospective phase III trials (1987 to 1995). In these 3 groups, the observed incidences of platelet transfusions in the above-defined risk groups did not differ significantly (P > .1) from those calculated in the model. This risk index could be useful to identify patients at high risk for chemotherapy-induced thrombocytopenia requiring platelet transfusions.
Evolution of the social network of scienti $ c collaborations

The co-authorship network of scientists represents a prototype of complex evolving networks. In addition, it o8ers one of the most extensive database to date on social networks. By mapping the electronic database containing all relevant journals in mathematics and neuro-science for an 8-year period (1991–98), we infer the dynamic and the structural mechanisms that govern the evolution and topology of this complex system. Three complementary approaches allow us to obtain a detailed characterization. First, empirical measurements allow us to uncover the topological measures that characterize the network at a given moment, as well as the time evolution of these quantities. The results indicate that the network is scale-free, and that the network evolution is governed by preferential attachment, a8ecting both internal and external links. However, in contrast with most model predictions the average degree increases in time, and the node separation decreases. Second, we propose a simple model that captures the network’s time evolution. In some limits the model can be solved analytically, predicting a two-regime scaling in agreement with the measurements. Third, numerical simulations are used to uncover the behavior of quantities that could not be predicted analytically. The combined numerical and analytical results underline the important role internal links play in determining the observed scaling behavior and network topology. The results and methodologies developed in the context of the co-authorship network could be useful for a systematic study of other complex evolving networks as well, such as the world wide web, Internet, or other social networks. c © 2002 Published by Elsevier Science B.V. PACS: 89.65. −s; 89.75. −k; 05.10. −a
Processamento léxico-semântico : relações com reconhecimento visual de palavras e compreensão de leitura textual

The aim of this study was to examine the role of lexical-semantic processing in models of visual word recognition and in reading comprehension. The main word reading and reading comprehension frameworks are reviewed. Afterwards, the role of lexical-semantic processing in those reading abilities is discussed. The semantic priming paradigm is then presented as an instrument for investigating the relationships between lexical-semantic processing and the two reading components. From a review of empirical studies in the field, it is possible to establish a synthesis of results and conclusions about the relations between semantic priming and visual word recognition and reading comprehension. In the conclusion, some possibilities of future studies are suggested and the relations between models of semantic priming and reading are discussed.
BARRIERS AND BENEFITS OF TOTAL QUALITY MANAGEMENT IN THE CONSTRUCTION INDUSTRY : EVIDENCE FROM TURKISH CONTRACTORS

ABSRACT Implementation of Total Quality Management (TQM) in the construction industry promises several benefits such as more repeat customers, reduced rework, improved employee job satisfaction, higher productivity, improved budget performance, improved schedule performance, better chances in bidding process with pre-qualification, increased market share, etc. Yet, there are several barriers to the extensive deployment of TQM in the construction industry. The construction industry is different from other industries in many aspects such as one one-of-a-kind product, lack of top management’s leadership and support, unqualified workforce, lack of effective teams, etc. It is commonly believed that TQM cannot be successfully implemented due to these peculiarities. Moreover, many construction companies consider quality programs as extra cost because of the fact that they are not totally aware of that the cost of nonconformance to quality is much higher than that of operating a quality program. This paper aims to investigate the potential benefits derived from implementing TQM and barriers to the extensive implementation of TQM in the construction industry. For this purpose, a questionnaire was designed and delivered to 120 large-scaled Turkish contractors, who are the members of Turkish Contractors Association (TCA). Out of these 120 contractors, 80 returned duly completed questionnaires. The survey results revealed that contractors are aware of the benefits of TQM implementation but there are still several barriers to implementation. According to the survey results, lack of top management’s support, commitment and leadership are the three most important barriers to TQM implementation.
Drug treatment of hypertension in pregnancy: a critical review of adult guideline recommendations

This review evaluates the guideline recommendations for the management of hypertension in pregnancy as presented by 25 national/international guidelines developed for the management of arterial hypertension in adults. There is a general consensus that oral &agr;-methyldopa and parenteral labetalol are the drugs of choice for nonsevere and severe hypertension in pregnancy, respectively. Long-acting nifedipine is recommended by various guidelines as an alternative for first-line and second-line therapy in nonsevere and severe hypertension. The safety of &bgr;-blockers, atenolol in particular, in early and late stages of pregnancy is unresolved; their use is contraindicated according to several guidelines. Diuretic-associated harmful effects on maternal and fetal outcomes are controversial: their use is discouraged in pregnancy. It is important to develop specific guidelines for treating hypertension in special groups such as adult females of childbearing age and sexually active female adolescents to minimize the risk of adverse effects of drugs on the fetus. In several guidelines, the antihypertensive classes, recommended drug(s), intended drug formulation, and route of administration are not explicit. These omissions should be addressed in future guideline revisions in order to enhance the guidelines’ utility and credibility in clinical practice.
Review on Bifidobacterium bifidum BGN4: Functionality and Nutraceutical Applications as a Probiotic Microorganism

Bifidobacterium bifidum BGN4 is a probiotic strain that has been used as a major ingredient to produce nutraceutical products and as a dairy starter since 2000. The various bio-functional effects and potential for industrial application of B. bifidum BGN4 has been characterized and proven by in vitro (i.e., phytochemical bio-catalysis, cell adhesion and anti-carcinogenic effects on cell lines, and immunomodulatory effects on immune cells), in vivo (i.e., suppressed allergic responses in mouse model and anti-inflammatory bowel disease), and clinical studies (eczema in infants and adults with irritable bowel syndrome). Recently, the investigation of the genome sequencing was finished and this data potentially clarifies the biochemical characteristics of B. bifidum BGN4 that possibly illustrate its nutraceutical functionality. However, further systematic research should be continued to gain insight for academic and industrial applications so that the use of B. bifidum BGN4 could be expanded to result in greater benefit. This review deals with multiple studies on B. bifidum BGN4 to offer a greater understanding as a probiotic microorganism available in functional food ingredients. In particular, this work considers the potential for commercial application, physiological characterization and exploitation of B. bifidum BGN4 as a whole.
Antidiarrhoeal Activity of Musa paradisiaca Sap in Wistar Rats

The folkloric claim of Musa paradisiaca sap in the management of diarrhoea is yet to be substantiated or refuted with scientific data. Therefore, the aim of the current study was to screen the sap of M. paradisiaca for both its secondary metabolites and antidiarrhoeal activity at 0.25, 0.50, and 1.00 mL in rats. Secondary metabolites were screened using standard methods while the antidiarrhoeal activity was done by adopting the castor oil-induced diarrhoeal, castor oil-induced enteropooling, and gastrointestinal motility models. The sap contained flavonoids, phenolics, saponins, alkaloids, tannins, and steroids while cardiac glycosides, anthraquinones, triterpenes, cardenolides, and dienolides were not detected. In the castor oil-induced diarrhoeal model, the sap significantly (P < 0.05) prolonged the onset time of diarrhoea, decreased the number, fresh weight, and water content of feaces, and increased the inhibition of defecations. Na+-K+-ATPase activity in the small intestine increased significantly whereas nitric oxide content decreased. The decreases in the masses and volumes of intestinal fluid by the sap were accompanied by increase in inhibition of intestinal fluid content in the enteropooling model. The sap decreased the charcoal meal transit in the gastrointestinal motility model. In all the models, the 1.00 mL of the sap produced changes that compared well with the reference drugs. Overall, the antidiarrhoeal activity of Musa paradisiaca sap attributed to the presence of alkaloids, phenolics, flavonoids, and/or saponins which may involve, among others, enhancing fluid and electrolyte absorption through de novo synthesis of the sodium potassium ATPase and/or reduced nitric oxide levels.
Regulation and function of yeast PAS kinase: A role in the maintenance of cellular integrity

The inability to coordinate cellular metabolic processes with the cellular and organismal nutrient environment leads to a variety of disorders, including diabetes and obesity. Nutrient-sensing protein kinases, such as AMPK and mTOR, play a pivotal role in metabolic regulation and are promising therapeutic targets for the treatment of disease. In this Extra View, we describe another member of the nutrient-sensing protein kinase group, PAS kinase, which plays a role in the regulation of glucose utilization in both mammals and yeast. PAS kinase deficient mice are resistant to high fat diet-induced weight gain, insulin resistance, and hepatic triglyceride hyperaccumulation, suggesting a role for PAS kinase in the regulation of glucose and lipid metabolism in mammals. Likewise, PAS kinase deficient yeast display altered glucose partitioning, favoring glycogen biosynthesis at the expense of cell wall biosynthesis. As a result, PAS kinase deficient yeast are sensitive to cell wall perturbing agents. This partitioning of glucose in response to PAS kinase activation is due to phosphorylation of Ugp1, the enzyme primarily responsible for UDP-glucose production. The two yeast PAS kinase homologs, Psk1 and Psk2, are activated by two stimuli, cell integrity stress and nonfermentative carbon sources. We review what is known about yeast PAS kinase and describe a genetic screen that may help elucidate pathways involved in PAS kinase activation and function.