Miracle-dz/UniFAR-FTUs huggingface dataset:
A New Model of Clinical Education to Increase Student Placement Availability: The Capacity Development Facilitator Model.

This paper reports on a trial of a new model of clinical education designed to increase student clinical placement availability and address workforce constraints on supervision. The University of Sydney deployed the Capacity Development Facilitators (CDF) in selected Sydney hospitals to work with staff to expand student clinical placement opportunities by identifying enablers, barriers and stressors of clinical placements and collaboratively developing solutions, provide organizational and learning support and foster opportunities for interprofessional learning. A mixed methods study was undertaken collecting data from physiotherapy students and their clinical educators (CE). At completion of placement students and CEs completed a survey. This was analyzed for themes about placement structure, productivity, barriers, enablers, stressors and support. Preliminary findings suggest the CDF model increases capacity, provides robust learning experiences and satisfaction with placements from the hospital, university staff and students' perspectives.
Incidence of Renal and Liver Rejection and Patient Survival Rate Following Combined Liver and Kidney Transplantation

Multiple organ transplantations are used to treat chronic multiple organ failure. However, long‐term mortality and graft tolerance remain to be evaluated. We carried out a retrospective and comparative analysis of 45 patients who underwent a combined liver and kidney (LK) transplantation (LKT) from the same donor. They were compared to 86 matched patients who underwent kidney (K) transplantation (KT). All patients had an organic renal failure associated with cirrhosis (n = 35) or with inherited disease (n = 10). Nineteen (42.9%) had been transplanted previously. The patients' survival rate was 85% at 1 year and 82% at 3 years. Seven patients died within the first 3 months, due to severe polymicrobial infection. Two patients in the LK population (4.2%) developed acute rejection of the kidney graft compared to 24 of the 86 matched renal transplanted patients (32.6%). In parallel, acute liver rejection was observed in 14 cases (31.1%) in the LK population. The occurrence of acute rejection was not associated with panel‐reactive lymphocytotoxic antibodies (n = 16), nor with positive cross‐matches (n = 3). Four of the 45 patients (8.8%) subsequently developed chronic renal allograft rejection, and 16 cases of chronic hepatic dysfunction were noted (42.2%). In conclusion, the overall survival rate following combined liver kidney transplantation is acceptable, and LKT can be proposed to patients with kidney failure associated with liver dysfunction, primary oxaluria or amyloid neuropathy. The main cause of mortality in this population was severe infectious complications. The frequency of acute kidney rejection was lower than in single transplantation.
DETERMINAN PROFIT DISTRIBUTION MANAGEMENT BANK SYARIAH DI INDONESIA PERIODE 2008-2011

Studi ini bertujuan menganalisa faktor-faktor yang mempengaruhi manajemen distribusi laba (PDM) in bank syariah Indonesia. Koleksi data dilakukan dengan metode purposive sampling dari 5 bank (Bank Muamalat, Bank Syariah Mandiri, Bank Mega Syariah, Bank Bukopin Syariah dan Bank Rakyat Indonesia Syariah). Hasil mengndikasikan bahwa kecukupan modal, proporsi pendanaan non investasi, eliminasi penghapusan aset produktif, memiliki pengaruh positif pada PDM. Efektivitas pendaanaan depositor dan proporsi pendanaan depositir memiliki pengaruh negatif pada PDM, sedangkan pertumbuhan Produk Domestik Bruto dan umur bank tidak memiliki pengaruh pada PDM.
Flow across microvessel walls through the endothelial surface glycocalyx and the interendothelial cleft

A mathematical model is presented for steady fluid flow across microvessel walls through a serial pathway consisting of the endothelial surface glycocalyx and the intercellular cleft between adjacent endothelial cells, with junction strands and their discontinuous gaps. The three-dimensional flow through the pathway from the vessel lumen to the tissue space has been computed numerically based on a Brinkman equation with appropriate values of the Darcy permeability. The predicted values of the hydraulic conductivity Lp, defined as the ratio of the flow rate per unit surface area of the vessel wall to the pressure drop across it, are close to experimental measurements for rat mesentery microvessels. If the values of the Darcy permeability for the surface glycocalyx are determined based on the regular arrangements of fibres with 6 nm radius and 8 nm spacing proposed recently from the detailed structural measurements, then the present study suggests that the surface glycocalyx could be much less resistant to flow compared to previous estimates by the one-dimensional flow analyses, and the intercellular cleft could be a major determinant of the hydraulic conductivity of the microvessel wall.
[Treatment effect of DICE regimen on patients with relapsed or refractory intermediate and high grade non-Hodgkin's lymphoma].

BACKGROUND & OBJECTIVE So far, there is still no standard salvage regimen for relapsed or refractory non-Hodgkin's lymphoma (NHL). The response rates (RR) of NHL patients received common salvage regimens, such as DICE, ESHAP, MINE, and EPOCH, are only 30%-70%. This study was to evaluate the efficacy and safety of DICE regimen, as a salvage regimen, in treating patients with relapsed or refractory intermediate and high grade NHL. METHODS Thirty-five patients with relapsed or refractory intermediate and high grade NHL, who had been pretreated with chemotherapy dominated by CHOP or CHOP-like regimen with a median of 6 cycles (ranged 2-12 cycles), were salvaged by DICE regimen from Jun. 1999 to Jan. 2004. Of the 35 patients, 14 were T-cell original, and 21 were B-cell original. RESULTS The 35 patients received DICE regimen with a median of 4 cycles (ranged 2-7 cycles). All patients were assessable in the efficacy and adverse events. The total RR was 74.3% with complete response (CR) rate of 31.4%, median response time (MST) of 4 months (ranged 1-30 months), median time to failure (TTF) of 7 months (ranged 2-34 months),median survival time (MST) of 14 months (ranged 3-51 months), and 2-year survival rate of 33.3%. The RRs of T-cell and B-cell NHL were 85.7% and 66.7%. The CR rate was higher in T-cells NHL than in B-cell NHL (50.0% vs. 19.0%, P=0.073). Elevated serum lactate dehydrogenase (LDH) and bulky disease were high risk factors of the efficacy of DICE regimen (P < 0.05). The response to DICE reginmen was an independent prognostic factor of patients with relapsed or refractory NHL (P = 0.001). The major toxicity was myelosuppression. Incidences of neutropenia and thrombocytopenia of grade III-IV were 71.4% and 8.6%. CONCLUSIONS DICE regimen is a safe and effective salvage regimen for the patients with relapsed or refractory intermediate and high grade advanced NHL. Elevated serum LDH and bulky disease are the adverse prognostic factors. The response to DICE regimen may directly influence survival time of patients with relapsed or refractory NHL.
Estimating Risks of Developing Second Cancers

The objectives of this paper are to discuss how state-of-the-art feature selection and classification techniques can be used to develop tools to predict risks of developing second cancer based on basic patient information and initial cancer diagnosis. We present a feature extraction method to discover and collect useful properties from the first cancer radiation therapy record based on visualization and clinical experience. We further select and verify the extracted features using a greedy column subset selection algorithm, supervised principle component analysis and greedy column subset selection via Hilbert schmidt independence Criteria(HSIC) algorithms. Finally, we adopted classification methods i.e. logistic regression and support vector machine to verify the accuracy on predicting second cancer risk.
DEFICIT FINANCING AND ITS IMPLICATION ON PRIVATE SECTOR INVESTMENT: THE NIGERIAN EXPERIENCE

Deficit financing is a recurrent decimal in Nigerian economy. Since independence, over 90% of Nigerians budgets are in deficit. Deficit financing seems to present a positive inflationary impact and a negative investment impact on developing economics particularly Nigeria. Usually when there is deficit, government fined ways of financing the deficit through borrowing from commercial banks or from non-banking public and through the issue of short-term bonds and monetary instruments. Prolong deficit financing have an overall negative impact on the economy by crowding out private investment. This paper examines the impact of government expenditures on private investment and also how the financing of budget deficit have not only affected the performance of private investment but also how it crowds out private investment in Nigeria. Secondary data from CBN statistical bulletin Bureau of statistics bulletin were used Econometric models were used in calculating the relative impact of deficit financing on private investment in Nigeria. The findings revealed a negative relationship between deficit financing and investment in the period under review i.e deficit financing in Nigeria crowds out private investment. The paper recommends that government should redirect it fiscal policy that would favor the private investor by discouraging high government expenditure and maintaining low fiscal deficit. Also, to avoid crowding out effect, it is recommended that deficit be financed through the capital market.
Cooperative Spectrum Sharing in Relay-Trading Mode: A Fairness View

In the relay-trading mode of wireless cognitive radio networks the secondary user (SU) can achieve a promised spectrum access opportunity by relaying for the primary user (PU). How to utilize the exchanged resource efficiently and fairly is an interesting and practical problem. In this paper we proposed a cooperative spectrum sharing strategy (RT-CSS) for the relay-trading mode from the fairness view. The cooperative SUs are gathered in a cooperative sharing group (CSG), and contribution metric (CM) is proposed to measure each CSG member's contribution to CSG as well as benefit from CSG. The adjustment of CM can guarantee the fairness and efficiency of spectrum sharing. The numerical simulation shows that RT-CSS can achieve better performance than the sense-uncooperative mode.
Oncogenic steroid receptor coactivator-3 is a key regulator of the white adipogenic program

The white adipocyte is at the center of dysfunctional regulatory pathways in various pathophysiological processes, including obesity, diabetes, inflammation, and cancer. Here, we show that the oncogenic steroid receptor coactivator-3 (SRC-3) is a critical regulator of white adipocyte development. Indeed, in SRC-3−/− mouse embryonic fibroblasts, adipocyte differentiation was severely impaired, and reexpression of SRC-3 was able to restore it. The early stages of adipocyte differentiation are accompanied by an increase in nuclear levels of SRC-3, which accumulates to high levels specifically in the nucleus of differentiated fat cells. Moreover, SRC-3−/− animals showed reduced body weight and adipose tissue mass with a significant decrease of the expression of peroxisome proliferator-activated receptor γ2 (PPARγ2), a master gene required for adipogenesis. At the molecular level, SRC-3 acts synergistically with the transcription factor CAAT/enhancer-binding protein to control the gene expression of PPARγ2. Collectively, these data suggest a crucial role for SRC-3 as an integrator of the complex transcriptional network controlling adipogenesis.
Variants at the 3p21 locus influence susceptibility and phenotype both in adults and early‐onset patients with inflammatory bowel disease

Background: To date, a number of high‐profile studies have yielded over 50 inflammatory bowel disease (IBD) disease genes/loci. The polymorphisms rs9858542 (BSN) and rs3197999 (MST1), on 3p21 locus, have been found associated with susceptibility to IBD. We aimed to replicate these associations in adult and early‐onset cohorts of IBD Italian patients, by analyzing also potential gene–gene interactions with variants in NOD2/CARD15, IL23R, ATG16L1, and IRGM genes, and investigating genotype–phenotype correlation. Methods: In all, 1808 patients with IBD, 855 with Crohn's disease (CD) and 953 with ulcerative colitis (UC), including 539 patients with their initial diagnosis <19 years of age, and 651 controls were analyzed for SNPs rs9858542 and rs3197999. Results: BSN and MST1 were significantly associated with either CD (Prs9858542 2.5 × 10−7; Prs3197999 3.9 × 10−7), and UC (Prs9858542 = 3.1 × 10−4; Prs3197999 = 8 × 10−4). Prevalence of these variants was significantly increased in both adult and early‐onset IBD patients. After stepwise logistic regression, the 2 variants were associated in adult UC with distal colitis (Prs9858542 = 0.013, odds ratio [OR] = 2.04, 95% confidence interval [CI] = 1.16–3.59; Prs3197999 = 0.018, OR 1.9, 95% CI 1.2–3.3), while the rs3197999 variant was inversely associated with occurrence of extraintestinal manifestations in adult CD(P = 0.017, OR 0.6, 95% CI 0.4–0.9). Conclusions: We confirmed the association of BSN and MST1 with IBD susceptibility, either in the adult or the early‐onset cohorts. These variants appeared to influence either the distal location of the disease in the UC cohort and extraintestinal manifestations in CD patients. (Inflamm Bowel Dis 2010)
NMR Study of Repair Mechanism of DNA Photolyase by FAD-induced Paramagnetic Relaxation Enhancement*

Cyclobutane pyrimidine dimer (CPD) photolyases, which contain FAD as a cofactor, use light to repair CPDs. We performed structural analyses of the catalytic site of the Thermus thermophilus CPD photolyase-DNA complex, using FAD-induced paramagnetic relaxation enhancement (PRE). The distances between the tryptophan residues and the FAD calculated from the PRE agree well with those observed in the x-ray structure (with an error of <3 Å). Subsequently, a single-stranded DNA containing 13C-labeled CPD was prepared, and the FAD-induced PRE of the NMR resonances from the CPD lesion in complex with the CPD photolyase was investigated. The distance between the FAD and the CPD calculated from the PRE is 16 ± 3 Å. The FAD-induced PRE was also observed in the CPD photolyase-double-stranded DNA complex. Based on these results, a model of the CPD photolyase-DNA complex was constructed, and the roles of Arg-201, Lys-240, Trp-247, and Trp-353 in the CPD-repair reaction are discussed.
Implications of Prognostic Factors and Risk Groups in the Management of Differentiated Thyroid Cancer

Objectives/Hypothesis The outcome in differentiated thyroid cancer generally depends on the stage of the disease at the time of presentation; prognostic factors such as age, grade, size, extension, or distant metastasis; and risk groups (eg, low or high risk). The author has reviewed a large number of patients with differentiated thyroid cancer to analyze their hypothesis and to confirm that various risk groups have a major implication in relation to extent of the treatment and outcome. Differentiated thyroid cancers make up 90% of all thyroid tumors. The prognostic factors are well defined, such as age, size of the tumor, extrathyroidal extension, presence of distant metastasis, histological appearance, and grade of the tumor. The author has previously divided the risk groups into low‐, intermediate‐, and high‐risk categories based on prognostic factors. The study describes the author's treatment approach related to the extent of thyroidectomy and adjuvant therapy based on various risk groups and the long‐term survival.
A test strategy for object-oriented programs

The complexity and interdependencies of an object oriented program makes testing of such programs difficult. We present a reverse engineering based model called Object Relation Diagram (ORD), which is generated from analyzing the C++ source code of an object oriented program. An ORD is a directed graph in which the vertices represent the object classes and the edges represent the relationships among the object classes. Based on the ORD, a test strategy, called test order, for unit testing and integration testing of object oriented programs is described. The test order algorithm uses topological sorting and clusters of strongly connected subgraphs of the ORD. It computes the optimal test order in the sense that the effort required to construct the test stubs to simulate the untested classes/member functions is minimum. We show the savings of the test strategy through statistics of the InterViews library.
Hot topic extraction and public opinion classification of tibetan texts

The increasing amount of Tibetan information has made Tibetan text processing popular and highly significant. In this study, Tibetan hot topic extraction and public opinion classification were investigated to accelerate the development of Tibetan information processing. First, Tibetan word segmentation in Tibetan hot topic extraction was presented. Second, feature selection based on term frequency and that based on document frequency was adopted to decrease feature dimensions. Third, a vector space model was used to conduct text representation. Finally, a statistical-based method was utilized to extract hot topics. In studying public opinion classification, a keyword table of public opinion needed to be established to conduct Tibetan public opinion classification. According to field, 18 classes were selected and used for public opinion classification. A keyword table of public opinion was constructed by domain experts. The approach to public opinion classification was introduced on the basis of the proposed similarity computation method. Depending on the proposed approaches, the application system was developed and used to carry out the experiments. Experiments show that the proposed method can extract topics effectively and classify public opinion rapidly. This research is helpful and meaningful for text classification, information retrieval, and construction of high-quality corpus. Subject Categories and Descriptors I.2. 7 [Natural Language Processing]: Text Analysis; 1.5. 4 [Pattern Recognition]: Applications – Information Extraction General Terms: Data Mining, Information Extraction, Knowledge Management
A Danger Theory Inspired Multi-agent Fusion Model for Network Security Assessment

This paper presents a Danger Theory inspired multi-agent fusion model. Danger Theory is a relative new research subject in Artificial Immune System (AIS). It presents new viewpoint and explains some problems in traditional immune theory. This paper describes the principle of Danger Theory, analyzes the differences between it and traditional theory, and also constructs a multi-agent fusion model for network security assessment. It apply the concepts of Danger Theory to fusion model, such as danger signal, danger zone and Antigen Presenting Cells (APC), which are benefit for multi-agent fusion model. An example is presented to illustrate the operation process of the fusion model.
A Unified Model For Auxiliary Switch Commutated DC-DC Converters

A novel ZVS auxiliary switch commutated variation for all DC-DC converter topologies has been proposed in 2006. With proper designation of the circuit variables (throw current I and the pole voltage V), all these converters are seen to be governed by an identical set of equations. With idealized switches, the steady-state performance is obtainable in an analytical form. The conversion ratio of the converter topologies is obtained. A generalized equivalent circuit emerges for all these converters from the steady-state conversion ratio. It also provides a dynamic model as well. With these generalized steady-state equivalent circuits, small signal analysis of these converters may be carried out readily. It enables one to use the familiar state space averaged results of the standard PWM DC-DC converters for the resonant counterparts. The DC and AC models reveals that DC and low frequency behaviour of the proposed family of converters is similar to that of its PWM parent.
The World Wide Web and Emerging Internet Resource Discovery Standards for Scholarly Literature

The World Wide Web (WWW) HAS BECOME an important medium for the dissemination of scholarly information. This article discusses the technology of the Web and why it is likely to have a lasting impact on the dissemination of scholarship. The role of the display and indexing of structured text is discussed, particularly the relationship of HyperText Markup Language (HTML) and Standard Generalized Markup Language (SGML), as well as problems associated with matching the needs of session-based document retrieval and the stateless architecture of the Web. The relationship of existing bibliographic description standards to emerging standards for the description of networked information resources is described.
BCG vaccination and leprosy protection: review of current evidence and status of BCG in leprosy control

The bacillus Calmette–Guérin (BCG) vaccine, initially developed to provide protection against TB, also protects against leprosy; and the magnitude of this effect varies. Previous meta-analyses did not provide a summary estimate of the efficacy due to the heterogeneity of the results. We conducted a meta-analysis of published data including recently published studies (up to June 2009) to determine the efficacy of BCG protection on leprosy and to investigate whether age at vaccination, clinical form, number of doses, type of study, the latitude of study area and year of publication influence the degree of efficacy and explain the variation. In the light of the results, we argue for more emphasis on the role of BCG vaccination in leprosy control and research.
Multi-Layer Agent-Based Simulation of Network Behaviour in Advanced Metering Infrastructures

In this paper we describe a novel approach to model smart meter networks aimed at analyzing security related aspects of such networks. The model is realized as a multi-agent based simulation. This allows for detailed analysis of network behaviour on different layers. The layers realized in the simulation are a protocol layer for syntactic analysis of the protocol, a data layer for semantic analysis of the commands transmitted, and an information layer where metering data is interpreted. The ultimate goal of the project is the design and proof-of-concept implementation of an innovative Intrusion Detection System specifically apt for smart meter networks. The simulation described in this paper together with data from real world field tests will be used to deduce formal rules describing regular behaviour of the network which then will be the input for the IDS.