Miracle-dz/UniFAR-FTUs huggingface dataset:
On Clock Frequency Effects in Side Channel Attacks of Symmetric Block Ciphers

Differential power analysis (DPA) becomes cumbersome when the analyzed traces are misaligned. The misalignment can be caused by deliberately inserting dummy wait states, random CPU stalls, or a random clock. In this paper we discuss clock frequency effects in random clock equipped cryptosystems and show that the power traces captured accordingly feature not only shifts in time domain, but also changes in the amplitude domain. These changes are more significant when increasing the base clock frequency. Therefore, trace preprocessing before performing an effective power analysis attack is necessary. We thus discuss first some existing alignment methods in time domain and then propose a method to normalize the horizontally aligned traces in the amplitude domain. As a demonstrator for these effects, a random clock armed AES-128 cryptosystem will be attacked at 2, 7, and 12 MHz base clock frequency, respectively. The experiments clearly unveil that at higher clock frequencies just a horizontal alignment is not sufficient. It is therefore necessary to preprocess the horizontally aligned traces in the amplitude domain too, which can neutralize the observed clock frequency effects and may greatly enhance a subsequent DPA attack.
Anxiety and sport performance: A meta-analysis

Abstract Anxiety is generally considered as an important factor influencing sport performance. However, the research findings are inconsistent with respect to the size and even the direction of the relationship. In order to sum up the available evidence, a meta-analysis was conducted using the Schmidt-Hunter procedure of combining effect sizes. Fifty empirical studies published between 1970 and 1988 which met the minimal requirements for a quantitative synthesis of results were selected. This database included 77 independent samples with N=3, 589 subjects. An overall meta-analysis for the total sample yielded a weighted mean of all correlations between anxiety and sport performance of r=-. 19. Subsequent analyses aimed at estimating population effect sizes and homogeneities for theoretically relevant subsets, formed according to person, task, and situation characteristics, like gender, age, performance level, stress intensity, etc. The paper concludes with a discussion of the frequently supposed inverted-U.
Business Process Modeling in Abstract Logic Tree

Business process models are usually defined in a graphical modeling language. Most business process modeling languages are the analog of flow chart and UML Activity Diagram, which allows unstructured flow structures. Unstructured process models make it difficult to transform it to a structured business process model, such as BPEL4WS. This paper proposes to represents the structure of a business process model with a special tree structure, Abstract Logic Tree. The concept and approach of Abstract Syntax Tree of programming language field is suggested to be applied to business process modeling field in this paper. Several graph transformation rules are developed for the transformation from an unstructured process model to an ALT. Detecting unstructured loops is the critical point for the transformation. DJ Graph is used to detect unstructured loops in this paper. The equivalence between a process model and its ALT is proven. The efforts in the paper make the analysis and manipulation against process models can be easily done on tree-based internal representation. ALT can be regarded as a foundation for parsing the structure and analyzing structure properties of business process models.
Form Annotation Framework for Long Tail Process Automation

Simple form of annotations, such as tagging, are proven to be helpful to end users in organising and managing large amount of resources (e.g., photos, documents). In this paper, we take a first step in applying annotation to forms, one of the main artefacts that make up the long tail of processes, to explore potential benefits of helping people with little or no technical background to automate the long tail of processes. An analysis of real-world forms was conducted to design algorithms for tag recommendations. Our initial evaluation suggests that useful tag recommendation can be generated based on the contents and the metadata of the forms. We also briefly present EzyForms, a framework for supporting form-based processes. The architecture supports an end-to-end lifecycle of forms, starting from its creation, annotation, and ultimately to its execution in a process.
Generalized Ramsey theorems for r-uniform hypergraphs

We show that several known Ramsey number inequalities can be extended to the setting of r-uniform hypergraphs. In particular, we extend Burr’s results on tree-star Ramsey numbers, providing exact evaluations for certain hypergraph Ramsey numbers. Then we turn our attention to proving a general multicolor hypergraph Ramsey number inequality from which generalizations of results due to Chvatal and Harary and Robertson can be obtained. Finally, we consider ways in which one may generalize a more recent multicolor Ramsey number inequality due to Xiaodong, Zheng, Exoo, and Radziszowski. M. BUDDEN ET AL. /AUSTRALAS. J. COMBIN. 63 (1) (2015), 142–152 143
Goal-setting revision, effectiveness, and frequency in the multi-event in track and field

The purpose of this study was to examine the perceived effectiveness and frequency of goal-setting and goal-setting revision techniques utilized by multi-event athletes in track and field. Locke and Latham (1985) stated that goal-setting is a possible technique that can help motivate, increase confidence and increase skill of athletes in competitive sports. The goal-setting frequency and goal-setting effectiveness subscales of the Goal-Setting in Sport Questionnaire (CGSSQ; Burton, Weinberg, & Yukelson, 1991) were used to assess goal-setting practices of 44 intercollegiate decathletes and heptathletes. Additional questions on goal revision practices were developed from a pilot study focus group. Multi-athletes reported using goal-setting sometimes/frequently, perceived goal-setting to be somewhat effective, and revised goals sometimes/frequently. Goal revision was found to occur most often between events, after the completion of day one, and after the high jump due to accomplishing an initial goal, previous performance, other competitors, injury, and weather. No statistical difference was found in goal-setting practices between males and females.
2013 ACC/AHA Guideline on the Assessment of Cardiovascular Risk: A Report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines

Preamble and Transition to ACC/AHA Guidelines to Reduce Cardiovascular Risk S50 The goals of the American College of Cardiology (ACC) and the American Heart Association (AHA) are to prevent cardiovascular diseases (CVD); improve the management of people who have these diseases through professional education and research; and develop guidelines, standards, and policies that promote optimal patient care and cardiovascular health. Toward these objectives, the ACC and AHA have collaborated with the National Heart, Lung, and Blood Institute (NHLBI) and stakeholder and professional organizations to develop …
Performance of Tense Thin-Film Torsion Bar for Large Rotation and Low-Voltage Driving of Micromirror

In this paper, a micromirror device is developed by realizing the large rotation with the low-voltage driving. The maximum rotation angles observed at 5 V are 8.6deg with hysteresis and 7deg with little hysteresis at the static condition. The thin-film torsion bars contribute to decrease in the torsional spring constant. The tension is included for maintaining the compliance in the rotation of the mirror and for increasing stiffness in other movements. The performance of the torsion bar is investigated. The observed hard-spring effect is significant and this can be explained by the combination of the tension and the vertical displacement of the torsion bar
A Type I Interferon Transcriptional Signature Precedes Autoimmunity in Children Genetically at Risk for Type 1 Diabetes

Diagnosis of the autoimmune disease type 1 diabetes (T1D) is preceded by the appearance of circulating autoantibodies to pancreatic islets. However, almost nothing is known about events leading to this islet autoimmunity. Previous epidemiological and genetic data have associated viral infections and antiviral type I interferon (IFN) immune response genes with T1D. Here, we first used DNA microarray analysis to identify IFN-β–inducible genes in vitro and then used this set of genes to define an IFN-inducible transcriptional signature in peripheral blood mononuclear cells from a group of active systemic lupus erythematosus patients (n = 25). Using this predefined set of 225 IFN signature genes, we investigated the expression of the signature in cohorts of healthy controls (n = 87), patients with T1D (n = 64), and a large longitudinal birth cohort of children genetically predisposed to T1D (n = 109; 454 microarrayed samples). Expression of the IFN signature was increased in genetically predisposed children before the development of autoantibodies (P = 0.0012) but not in patients with established T1D. Upregulation of IFN-inducible genes was transient, temporally associated with a recent history of upper respiratory tract infections (P = 0.0064), and marked by increased expression of SIGLEC-1 (CD169), a lectin-like receptor expressed on CD14+ monocytes. DNA variation in IFN-inducible genes altered T1D risk (P = 0.007), as exemplified by IFIH1, one of the genes in our IFN signature for which increased expression is a known risk factor for disease. These findings identify transient increased expression of type I IFN genes in preclinical diabetes as a risk factor for autoimmunity in children with a genetic predisposition to T1D.
Event-based control for sit-to-stand transition using a wearable exoskeleton

Sit-to-stand transition is an essential step in a lower limb rehabilitation therapy, mainly for assisting the patient to transit from wheel chair to the next level of therapy. A mixed stiffness-damping control adaptation is proposed for this task which will help in reaching the final position with a constant velocity. A combination of control model is proposed to ensure the initiation and the final stage of the transition, such as to ensure stability and to maintain the equilibrium. The combined control model helps in reaching the goal position with equal participation from the user. For patient studies, such as with paraplegic patients, a combinational control model with muscle stimulation can be included to provide a complete assistance. The role of muscle stimulation and joint movement assistance is also considered in this control model. Further, final stage of this transition must ensure keeping or helping the user to maintain the upright position.
Information processing deficits in relatives of manic depressive patients

Background. The importance of genetic factors in the aetiology of manic-depressive illness (MDI) has been repeatedly confirmed and indicators of vulnerability to the illness in families with affective disorders are needed. Abnormal event-related potentials (ERP) may be markers of genetic vulnerability to mental illness. Long latency and low amplitude of P300 have consistently been reported in schizophrenic patients and their relatives. A few studies have also shown P300 deficits in MDI patients, but no ERP study has been performed on their relatives. Methods. ERPs were recorded during an auditory oddball task in 19 relatives belonging to families with two or more bipolar patients and in controls with no familial or personal history of affective disorders. The relatives were selected as having no affective disorders on a lifetime basis, but eight had an anxiety disorder. Results. In all relatives, a lower P300 amplitude and a longer P300 latency was found, with much longer reaction time and post-N200 duration till button-press than controls. A lack of P300 amplitude dominance in the right hemisphere was also found in relatives in comparison with controls. There also appeared to be a frontal predominance of ERP abnormalities in relatives. Conclusion. We report the first evidence of deficits in reaction time and in P300 amplitude and latency, and a lack of P300 right-sided dominance, in relatives of manic-depressive patients. This pattern may constitute an endophenotypic marker of manic-depressive disorder.
Virtualizing GPUs for CUDA based HPC applications

Modern graphics processing units (GPUs) are being widely adopted as application accelerators in HPC owing to their massive floating point compute power that can be leveraged by data parallel algorithms. Consequently, need for virtualization of GPU resources has grown rapidly to provide ondemand efficient resource sharing. In this work, we present a detailed literature review of various GPU virtualization techniques. We then provide design details of a virtualization technique for CUDA applications, that we developed, based on API interception and redirection via Remote procedure calls. We demonstrate the viability of our virtualization framework by testing the performance on CUDA SDK examples and a set of micro-benchmarks.
Clearance of pathological antibodies using biomimetic nanoparticles

Significance The selective depletion of disease-causing antibodies using nanoparticles offers a new model in the management of type II immune hypersensitivity reactions. The demonstration of pathophysiologically inspired nanoengineering serves as a valuable prototype for additional therapeutic improvements with the goal of minimizing therapy-related adverse effects. Through the use of cell membrane-cloaked nanoparticles, nanoscale decoys with strong affinity to pathological antibodies can be administered to disrupt disease processes in a minimally toxic manner. These biomimetic nanoparticles enable indiscriminate absorption of pathological antibodies regardless of their epitope specificities. This particular approach offers much promise in treating antibody-mediated autoimmune diseases, in which target antigens on susceptible cells can vary from patient to patient. Pathological antibodies have been demonstrated to play a key role in type II immune hypersensitivity reactions, resulting in the destruction of healthy tissues and leading to considerable morbidity for the patient. Unfortunately, current treatments present significant iatrogenic risk while still falling short for many patients in achieving clinical remission. In the present work, we explored the capability of target cell membrane-coated nanoparticles to abrogate the effect of pathological antibodies in an effort to minimize disease burden, without the need for drug-based immune suppression. Inspired by antibody-driven pathology, we used intact RBC membranes stabilized by biodegradable polymeric nanoparticle cores to serve as an alternative target for pathological antibodies in an antibody-induced anemia disease model. Through both in vitro and in vivo studies, we demonstrated efficacy of RBC membrane-cloaked nanoparticles to bind and neutralize anti-RBC polyclonal IgG effectively, and thus preserve circulating RBCs.
Reduced β-cell function in early preclinical type 1 diabetes

Objective We aimed to characterize insulin responses to i.v. glucose during the preclinical period of type 1 diabetes starting from the emergence of islet autoimmunity. Design and methods A large population-based cohort of children with HLA-conferred susceptibility to type 1 diabetes was observed from birth. During regular follow-up visits islet autoantibodies were analysed. We compared markers of glucose metabolism in sequential intravenous glucose tolerance tests between 210 children who were positive for multiple (≥2) islet autoantibodies and progressed to type 1 diabetes (progressors) and 192 children testing positive for classical islet-cell antibodies only and remained healthy (non-progressors). Results In the progressors, the first phase insulin response (FPIR) was decreased as early as 4–6 years before the diagnosis when compared to the non-progressors (P=0.001). The difference in FPIR between the progressors and non-progressors was significant (P<0.001) in all age groups, increasing with age (at 2 years: difference 50% (95% CI 28–75%) and at 10 years: difference 172% (95% CI 128–224%)). The area under the 10-min insulin curve showed a similar difference between the groups (P<0.001; at 2 years: difference 36% (95% CI 17–58%) and at 10 years: difference 186% (95% CI 143–237%)). Insulin sensitivity did not differ between the groups. Conclusions FPIR is decreased several years before the diagnosis of type 1 diabetes, implying an intrinsic defect in β-cell mass and/or function.
Authenticity matters more than intelligence and personality in predicting metacognition

Purpose – Metacognition – or learning how to learn – is an important competence in business and academic settings. The purpose of this paper is to examine individual difference predictors of metacognition, including two traditional (general mental ability (GMA), five-factor model (FFM) personality traits) ones, and a novel one, individual authenticity. Design/methodology/approach – Volunteers (n=243) were asked to rate the extent to which they agreed with the respective statements on a seven-point Likert-type scale for GMA, FFM personality traits, and authenticity measures. Data were collected at different points in time to introduce psychological separation among the study measures. Findings – The authors found that while metacognition is not predicted by GMA, it is positively predicted by two of the five-factor model personality traits, conscientiousness, and extraversion. More importantly, the authors examined that individuals’ authenticity – in the form of (low) self-alienation – will enhance metacogn.
5-Phase PM brushless DC motor current optimization — Part II: Modelization and numerical solution for a healthy or faulty drive

This paper deals with the optimal fault-tolerant operation of a 5-phase permanent magnet (PM) brushless DC (BLDC) drive. In particular, the companion paper (Part I) proposes the optimization of the current supply to obtain the maximum power in healthy conditions and its analytical solution. In the present paper (Part II), by constraining the proposed model with healthy and fault specific conditions, the magnitude schedule of the currents in the surviving phases is determined in order to obtain the maximum average power and the optimization problem is solved through a numerical approach. In all cases the solution is compared with the one obtained with a “Maximum Torque Per Ampere” criterion.
The Effect of Religious-Based Cognitive - Behavioral Therapy on Psychological Well-Being and Happiness in Students

This study aimed to investigate the effectiveness of religion based cognitive-behavioral therapy on psychological well-being and happiness of students. 375 students completed Ryff Psychological Well-Being scale (RSPWB) and Oxford Happiness Inventory (OHI). Among those who scored one standard deviation below the average in Ryff Psychological Well-Being scale (RSPWB) and Oxford Happiness Inventory (OHI), 40 of them were randomly selected. They were homogenized in terms of age, sex, socioeconomic status, lack of physical and mental illness and other variables in the study. Because of the loss of 6 subjects in the experimental group, the control group was matched equally. Then, the participants were divided into two experimental and control groups (each group n = 14). The treatment group was given 10 sessions of 90 minutes Religion-based cognitive-behavioral therapy. During this period, the control group received no intervention.The results showed that there was a significant difference between experimental and control groups in terms of psychological well-being and happiness (p < 0.001). That is, the psychological well-being and happiness in the experimental group was significantly increased compared to the pre-test and control group. The results show that the use of psychotherapy, particularly religion-based cognitive-behavioral interventions besides medical treatment increases the psychological well-being and happiness of the students.
Model-based Bayesian Reinforcement Learning in Factored Markov Decision Process

Learning the enormous number of parameters is a challenging problem in model-based Bayesian reinforcement learning. In order to solve the problem, we propose a model-based factored Bayesian reinforcement learning (F-BRL) approach. F-BRL exploits a factored representation to describe states to reduce the number of parameters. Representing the conditional independence relationships between state features using dynamic Bayesian networks, F-BRL adopts Bayesian inference method to learn the unknown structure and parameters of the Bayesian networks simultaneously. A point-based online value iteration approach is then used for planning and learning online. The experimental and simulation results show that the proposed approach can effectively reduce the number of learning parameters, and enable online learning for dynamic systems with thousands of states.
Influence of brand personality on Glaxosmithkline products in Nairobi

The proliferation of assorted brands of toothpaste products in the country has led to cut-throat competition for increased market share being witnessed among the operators in the toothpaste industry. When competition is keen and the consumers are faced with brand choice in the market, it becomes imperative for the manufacturers to understand the major factors that can attract the attention of buyers to their own brand. These then forms the basis for marketing, planning and action. This was a descriptive survey aimed at investigating the influence of brand personality on GlaxoSmithKline products in Nairobi, the case of Aquafresh toothpaste. In order to undertake the study successfully the objectives that were set out included the need to evaluate the influence of brand sincerity on consumer buying decision as well as to establish the brand excitement elements on consumers. The study surveyed 120 randomly selected consumers of Aquafresh toothpaste brand in Nairobi’s Eastlands area in the Buruburu locality, it examined the role played by advertising in influencing consumers preference for Aquafresh toothpaste, which is one of the leading toothpastes in the Kenyan market. Results revealed that both male and female of different age groups were equally influenced by advertising strategies of GlaxoSmithKline in their preference for the Aquafresh brand. Most of the consumers showed preference for Aquafresh brand of toothpaste. The major reasons advanced for the preference are the captivating advertising strategies of GlaxoSmithKline and the unique quality of the toothpaste brand. The need for high preference to advertising is therefore highlighted for companies that want to not only retain their position standing but also take positive steps to increase their market share