Miracle-dz/UniFAR-FTUs huggingface dataset:
End-to-End Policy-Based Encryption and Management of Data in the Cloud

This paper introduces and discusses a data management solution to provide accountability within the cloud as well as addressing privacy issues. The central idea is as follows: Customers allow cloud (service) providers to have access to specific data based on agreed policies and by forcing interactions with interchangeable independent third parties called Trust Authorities. The access to data can be as fine-grained as necessary, based on policy definitions, underlying encryption mechanisms (supporting the stickiness of policies to the data) and a related key management approach that allows (sets of) data attribute(s) to be encrypted specifically based on the policy. Access to data is mediated by a Trust Authority that checks for compliance to policies in order to release decryption keys. By these means users can be provided with fine-grained control over access and usage of their data within the cloud, even in public cloud models.
Validation of a predictive rule for the management of community-acquired pneumonia

The CURB-65 score (Confusion, Urea >7 mmol·L−1, Respiratory rate ≥30·min−1, low Blood pressure, and age ≥65 yrs) has been proposed as a tool for augmenting clinical judgement for stratifying patients with community-acquired pneumonia (CAP) into different management groups. The six-point CURB-65 score was retrospectively applied in a prospective, consecutive cohort of adult patients with a diagnosis of CAP seen in the emergency department of a 400-bed teaching hospital from March 1, 2000 to February 29, 2004. A total of 1,100 inpatients and 676 outpatients were included. The 30-day mortality rate in the entire cohort increased directly with increasing CURB-65 score: 0, 1.1, 7.6, 21, 41.9 and 60% for CURB-65 scores of 0, 1, 2, 3, 4, and 5, respectively. The score was also significantly associated with the need for mechanical ventilation and rate of hospital admission in the entire cohort, and with duration of hospital stay among inpatients. The CURB-65 score (Confusion, Urea >7 mmol·L−1, Respiratory rate ≥30·min−1, low Blood pressure, and age ≥65 yrs), and a simpler CRB-65 score that omits the blood urea measurement, helps classify patients with community-acquired pneumonia into different groups according to the mortality risk and significantly correlates with community-acquired pneumonia management key points. The new score can also be used as a severity adjustment measure.
Mental Practice in Chronic Stroke: Results of a Randomized, Placebo-Controlled Trial

Background and Purpose— Mental practice (MP) of a particular motor skill has repeatedly been shown to activate the same musculature and neural areas as physical practice of the skill. Pilot study results suggest that a rehabilitation program incorporating MP of valued motor skills in chronic stroke patients provides sufficient repetitive practice to increase affected arm use and function. This Phase 2 study compared efficacy of a rehabilitation program incorporating MP of specific arm movements to a placebo condition using randomized controlled methods and an appropriate sample size. Method— Thirty-two chronic stroke patients (mean=3.6 years) with moderate motor deficits received 30-minute therapy sessions occurring 2 days/week for 6 weeks, and emphasizing activities of daily living. Subjects randomly assigned to the experimental condition also received 30-minute MP sessions provided directly after therapy requiring daily MP of the activities of daily living; subjects assigned to the control group received the same amount of therapist interaction as the experimental group, and a sham intervention directly after therapy, consisting of relaxation. Outcomes were evaluated by a blinded rater using the Action Research Arm test and the upper extremity section of the Fugl-Meyer Assessment. Results— No pre-existing group differences were found on any demographic variable or movement scale. Subjects receiving MP showed significant reductions in affected arm impairment and significant increases in daily arm function (both at the P<0.0001 level). Only patients in the group receiving MP exhibited new ability to perform valued activities. Conclusions— The results support the efficacy of programs incorporating mental practice for rehabilitating affected arm motor function in patients with chronic stroke. These changes are clinically significant.
Prevention of Preterm Labour: 2011 Update on Tocolysis

The aim of this paper is to review available data about drugs for preventing preterm labour. Tocolytic therapy includes β adrenergic receptor agonists, NO donors, magnesium sulphate, prostaglandin-synthase inhibitors, oxytocin receptor antagonists, calcium-channel blockers, progesterone, 17-α-hydroxyprogesterone caproate, and antibiotics. Their specific effects on myometrial contractility, their safety, their efficiency, and side effects profile for the mother and the fetus are presented. The main question of why and for what reasons tocolysis should be administrated is discussed.
Bankruptcy Prediction Incorporating Macroeconomic Variables Using Neural Network

Since correct prediction of bankruptcy prediction of a company is very important for investors, lenders and managers, most efforts have been done to improve the predictive capability of corporate bankruptcy prediction models. Most previous studies use corporate financial statement to do bankruptcy prediction. However, corporate performance is always affected by macroeconomic conditions. This study explores the effect of macroeconomic variables on improving the predictive accuracy of corporate bankruptcy prediction with neural networks models. The experiments based on data from USA firms shows that neural networks models incorporating macroeconomic variables can made slight improvement on predictive accuracy with comparison to models without the macroeconomic information. Keywords-bankruptcy prediction; macroeconomic variables; neural networks
ERP implementation Success , Innovation , and Social Networks : Linking the Tertius Iungens Approach to Performance

ERP system deployments can result in improvements in firm performance through automation, informational, and transformational effects. Nevertheless many implementations are not successful. Employing a social network approach this study investigates the role of the IT unit in exchanging and combining knowledge focusing on the planning phase. Drawing on prior research dealing with social capital and network position this paper investigates the network position of the IT unit using the approaches of tertius gaudens (the third who enjoys) and of tertius iungens (the third who joins) to improve our understanding of why ERP implementations succeed or fail. The model is tested employing a case study in a manufacturing firm of the aerospace industry. It is shown that a tertius iungens orientation may improve the probability of successfully implementing an ERP system.
Using technological interventions to elicit behaviour change: the development of a text message intervention.

The new generation of health interventions are moving towards digitised innovative methods which seek to support people to better manage their health condition or as an educational tool to support change. There are several approaches introduced to date such as web based interventions or mobile “apps” which are increasing rapidly. Recently the rise of mhealth has given researchers, psychologists and developers a range of examples which portray, “good” methods of delivering such interventions, but what have we learnt from this and how does this further our understanding of digital health. Although, there is no static method of developing such programmes and each are unique to the sample it is addressing, but there are some basic protocols we need to consider. As an example, to illustrate this process the discussion will focus on the development of a text message based intervention for patients diagnosed with Inflammatory Bowel Disease (IBD).
Reducing Protocol Ordering Constraints to Improve Performance

Multipath routing and data retransmission cause datamisordering. Although data could be reordered before processing, it is simpler and more efficient to process data as it arrives. Because existing protocol functions generally cannot process misordered data, we need new functions with minimal ordering constraints. For two example functions, CRC error detection and CBC mode encryption, we show that the functions have ordering constraints and we present new functions that provide similar functionality without ordering constraints. Keyword Codes: C.2. 2
An Improved Chaotic Particle Swarm Optimization and Its Application in Investment

Particle swarm optimization is a population-based swarm intelligence algorithm driven by the simulation of a social psychological metaphor instead of the survival of the fittest individual. But itpsilas easy to be trapped into local optimum. Based on the chaos theory, the random function is introduced to Tent map, and the improved Tent map is introduced to PSO. Update the velocity and position of the particle by the improved Tent map instead of the random parameters. Eliminate the particle whose position is the farthest to the optimal solution after iterating certain steps, and reestablish the position of new particle according to average value of the positions of all the particles to search again. The algorithm has faster convergence and better global optimization capability. The improved Tent PSO is applied to the investment optimization, and the result of simulation shows better optimization function.
Automated calculations for multi-leg processes

The search for signals of new physics at the forthcoming LHC experiments involves the analysis of final states characterised by a high number of hadronic jets or identified particles. Precise theoretical predictions for these processes require the computation of scattering amplitudes with a large number of external particles and beyond leading order in perturbation theory. The complexity of a calculation grows with the number of internal loops as well as with the number of external legs. Automatisation of at least next-to-leading order calculations for LHC processes is therefore a timely task. I will discuss various approaches.
Personal Accounts of the Negative and Adaptive Psychosocial Experiences of People With Diabetes in the Second Diabetes Attitudes, Wishes and Needs (DAWN2) Study

OBJECTIVE To identify the psychosocial experiences of diabetes, including negative accounts of diabetes and adaptive ways of coping from the perspective of the person with diabetes. RESEARCH DESIGN AND METHODS Participants were 8,596 adults (1,368 with type 1 diabetes and 7,228 with type 2 diabetes) in the second Diabetes Attitudes, Wishes and Needs (DAWN2) study. Qualitative data were responses to open-ended survey questions about successes, challenges, and wishes for improvement in living with diabetes and about impactful experiences. Emergent coding developed with multinational collaborators identified thematic content about psychosocial aspects. The κ measure of interrater reliability was 0.72. RESULTS Analysis identified two negative psychosocial themes: 1) anxiety/fear, worry about hypoglycemia and complications of diabetes, depression, and negative moods/hopelessness and 2) discrimination at work and public misunderstanding about diabetes. Two psychosocial themes demonstrated adaptive ways of coping with diabetes: 1) having a positive outlook and sense of resilience in the midst of having diabetes and 2) receiving psychosocial support through caring and compassionate family, friends, health care professionals, and other people with diabetes. CONCLUSIONS The personal accounts give insight into the psychosocial experiences and coping strategies of people with diabetes and can inform efforts to meet those needs and capitalize on strengths.
Time use patterns of Spanish people at weekends: in search of what, who and when

Abstract Previous research has suggested the existence of both observed and unobserved heterogeneity in time allocation modelling. Surprisingly few empirical studies have addressed this issue in leisure research. The objective of this paper is, therefore, to identify and describe the time use patterns of people at weekends. The sample consisted of 2118 individuals/diaries from the Time Use Survey collected by the Spanish National Statistics Institute from 1 October 2009 to 30 September 2010. The results obtained reveal the existence of nine clusters (people who pursue domestic activities, sleepyheads and couch potatoes, weekend workers, book and radio/music lovers during leisure time, DIY handy-people, art lovers with quite a lot of leisure time, people committed to caring for relatives, eclectics, and people who mix leisure time and studies). These groups are different, not only as regards their propensity to engage in each activity and the average time allocated to this (what), but also as regards their socio-demographic profiles (who) and the activity rhythms (when). This study may have implications for policy-makers and leisure businesses in Spain at a time when there is considerable amount of debate regarding the need to rationalise schedules and standardise them with those of other European Union countries.
Legislatures vs . Political Parties : Endogenous Policy with Strategic Voters

A model of elections and legislation is analyzed under two types of constitutional framework: with or without legislative initiative. Political parties have policy preferences but need to field candidates who maximize their probability of victory (subject to the constraint of securing the party’s endorsement). At the same time, voters use strategic reasoning in assessing their candidates in a multi-district election. The model predicts that, in spite of the candidates’ purely electoral motives, voting stances and party will be correlated in the legislature. With legislative initiative, the policy outcomes will gravitate toward the median district, while without it, the parties can fully implement their (divergent) platforms. In this second case, the ability of parties to implement non-centrist policies decreases as the intradistrict homogeneity of the electorate increases. This has implications for the study of endogenous economic policy, in particular the way federalism affects the redistributive outcomes of electoral competition. JEL Classification: D72.
Renal hemodynamic effects of the HMG-CoA reductase inhibitors in autosomal dominant polycystic kidney disease.

BACKGROUND To determine the effect of statins on renal hemodynamics in normal volunteers and those with autosomal dominant polycystic kidney disease either with mild or moderate renal dysfunction. METHODS Thirty-two study subjects were enrolled in this study: 11 normal volunteers, 11 study subjects with autosomal dominant polycystic kidney disease (ADPKD) and mild kidney disease and 10 study subjects with ADPKD and moderate kidney disease. Subjects in each group received simvastatin 40 mg once daily for a period of 4 weeks. Renal blood flow was measured based on para-amino-hippurate (PAH) clearance and with the use of a magnetic resonance (MR) scanner at the beginning and following 4 weeks of therapy with statins. RESULTS At the end of the study, except for the lipid profile, which was significantly lower in all groups, other laboratory results showed no change. Four weeks of therapy with simvastatin resulted in no change in serum creatinine, 24-h urinary protein, sodium, iothalamate clearance, PAH clearance or renal blood flow as measured by MRI or based on PAH clearance. CONCLUSIONS Four weeks of therapy with simvastatin did not change renal blood flow in the study subjects with ADPKD with mild-to-moderate renal dysfunction or in healthy volunteers. CLINICAL TRIAL REGISTRATION NUMBER NCT02511418.
Building a semantically annotated corpus for congestive heart and renal failure from clinical records and the literature

Narrative information in Electronic Health Records (EHRs) and literature articles contains a wealth of clinical information about treatment, diagnosis, medication and family history. This often includes detailed phenotype information for specific diseases, which in turn can help to identify risk factors and thus determine the susceptibility of different patients. Such information can help to improve healthcare applications, including Clinical Decision Support Systems (CDS). Clinical text mining (TM) tools can provide efficient automated means to extract and integrate vital information hidden within the vast volumes of available text. Development or adaptation of TM tools is reliant on the availability of annotated training corpora, although few such corpora exist for the clinical domain. In response, we have created a new annotated corpus (PhenoCHF), focussing on the identification of phenotype information for a specific clinical sub-domain, i.e., congestive heart failure (CHF). The corpus is unique in this domain, in its integration of information from both EHRs (300 discharge summaries) and literature articles (5 full-text papers). The annotation scheme, whose design was guided by a domain expert, includes both entities and relations pertinent to CHF. Two further domain experts performed the annotation, resulting in high quality annotation, with agreement rates up to 0.92 F-Score.
Adaptive Multi-model Biometric Fusion for Digital Watermarking

In this work we propose to embed a fused biometric feature vector as a watermark into the sample image in spatial domain based on the fusion parameter (for embedding the watermark) which is chosen adaptively by using the structural similarity measure. Further the watermark is extracted from the subject image and verified with a considerably good accuracy. The results are demonstrated with substantial qualitative and quantitative measures to endorse on the effectiveness and efficiency of the proposed method.
Refined analytic torsion: comparison theorems and examples

Braverman and Kappeler introduced a refinement of the Ray-Singer analytic torsion associ- ated to a flat vector bundle over a closed odd-dimensional manifold. We study this notion and improve the Braverman-Kappeler theorem comparing the refined analytic torsion with Farber-Turaev refinement of the combinatorial torsion. Using this result we establish, modulo sign, the Burghelea-Haller conjec- ture, comparing their complex analytic torsion with Farber-Turaev torsion in the case, when the flat connection can be deformed in the space of flat connections to a Hermitian connection. We then compute the refined analytic torsion of lens spaces and answer some of the questions posed in (4, Remark 14.6.2).
FINITE STATE MACHINES WITH DATAPATH PARTITIONING FOR LOW POWER SYNTHESIS

Resent investigations have shown the very good results of digital systems and circuits optimization using integration of dynamic power management in the design flow. This approach proceed from detection periods of time during which parts of the circuit are not doing useful work and shut them down by either turning off the power supply or the clock signal. In this work, we take this approach to design at register transfer level. We consider the partition technique for controller and datapath simultaneously and develop a decomposition procedure for the finite state machines with datapath (FSMD) model. The proposed techniques leads to a general low power design methodology based on functional partitioning of FSMD.
The Intensity of Primary Care for Heart Failure Patients: A Determinant of Readmissions? The CarPaths Study: A French Region-Wide Analysis

Background We aimed to classify patients with heart failure (HF) by the style of primary care they receive. Methods and Results We used the claim data (SNIIRAM: Système National d’Information Inter-Régime de l’Assurance Maladie) of patients living in a French region. We evaluated three concepts. First, baseline clinical status with age and Charlson index. Second, primary care practice style with mean delay between consultations, quantity of nursing care, and variability of diuretic dose. Third, clinical outcomes with death during follow-up, readmission for HF, and rate of unforeseen consultations. The baseline clinical status and the clinical outcomes were included to give an insight in the reasons for, and performance of, primary care practice style. Patients were classified using a hierarchical ascending classification based on principal components. A total of 2,751 patients were included in this study and were followed for a median of 22 months. The mean age was 78 y (SD: 12); 484 (18%) died, and 818 (30%) were readmitted for HF. We found three different significant groups characterized by their need for care and the intensity of practice style: group 1 (N = 734) was “low need-low intensity”; group 2 (N = 1,060) was “high need-low intensity”; and group 3 (N = 957) was “high need-high intensity”. Their readmission rates were 17%, 41% and 28%, respectively. Conclusions This study evaluated the link between primary care, clinical status and main clinical outcomes in HF patients. In higher need patients, a low-intensity practice style was associated with poorer clinical outcomes.
Constructing a definition for intangibles using the resource based view of the firm

Purpose – The purpose of this paper is to construct and propose a definition for intangibles derived from the resource‐based view (RBV) of the firm for use in academic research and practical applications.Design/methodology/approach – Intangibles are defined as a subset of corporate resources. In this paper, various definitions for intangibles are tested against the RBV framework.Findings – The majority of definitions in the extant literature are (implicitly or explicitly) in synchronization with the RBV. Thus, it is possible to find and propose a common definition for intangibles.Research limitations/implications – Some researchers argue that the field is still in its embryonic stages and thus the concepts might still be too fresh in order to find a stable common definition.Practical implications – The paper offers a conceptual lens through which one can clearly link intangibles to strategy and offers a proposed definition of intangibles that incorporates a meta‐review of the literature.Originality/value .
Universal quantum computing based on monodromy representations

A model of quantum computing is presented, based on properties of connections with a prescribed monodromy group on holomorphic vector bundles over bases with nontrivial topology. Such connections with required properties appear in the WZW-models, in which moreover the corresponding n-point correlation functions are sections of appropriate bundles which are holomorphic with respect to the connection.
High voltage electrostatic driving of MEMS micromirrors

High Voltage pulses are required to actuate the MEMS for obtaining the desired performance. Charge pump based circuits are used for obtaining the required high-voltage conversion. However, many such stages need to be connected in series for achieving the required voltage gain. Thus, a two-stage boost converter is used to achieve 3.3V to 80V conversion. The PWM controllers are designed in 0.18 μm CMOS process. The pair of nMOS are used to generate the required MEMS actuation pulses.