Miracle-dz/UniFAR-FTUs huggingface dataset:
Efficiently Mapping the AES Encryption Algorithm on GPUs

Warped AES is a high performance heterogeneous GPU/CPU-SSE parallel method for encryption using GPUs. Considering the performance of encryption in GPU memory alone, our algorithm outperforms current published implementations on comparable hardware. In our ongoing research, we have also devised a speculative method for high throughput encryption on GPUs, while preserving low latency to client CPU applications. In this work we emphasize on techniques used to efficiently map the AES CTR encryption tasks for parallel execution on GPUs.
Bycatches of harbour porpoises (Phocoena phocoena, L.) in Danish set-net fisheries

Data on bvcatch of harbour porpoise t Phocoena phocoena L. ) in the com m ercial Danish set-net fisheries were sam pled from 5.591km nets in the period 1992 to 1998 using independent observers. A total bycatch o f 325 harbour porpoises w as reported. C luster analysis w as used to stratify the sam pled fishing trips and official catch statistics into a num ber o f different m étiers defined by the target species for the trips. Extrapolation o f the observed bycatch rate to total fish landings o f the Danish set-net fleet gave an average annual bycatch o f 6,785 (CV 0.12) for the North Sea fisheries in the period 1994-1998. Sam pling was not sufficient to estim ate total bycatch for o ther areas. Bycatch was observed in K attegat but not in the Baltic Sea. G eneralised Linear M odels were used to identify significant factors for bycatch in the North Sea. The bycatch rate, given as num ber per length o f nets x soak time, w as significantly lower in fisheries for flatfish com pared to roundfish fisheries. The highest bycatch rate was in the cod fishery over w recks and no bycatch was observed in the sole fishery. Significant seasonal variation o f bycatch was identified with the highest bycatch rate in the first and third quarter o f the year. Bycatch rates had not changed in the observed period and there was no significant difference in bycatch rates betw een sub-areas.
Multiplex Interbank Networks and Systemic Importance – an Application to European Data

Research on interbank networks and systemic importance is starting to recognise that the web of exposures linking banks balance sheets is more complex than the single-layer-of-exposure approach. We use data on exposures between large European banks broken down by both maturity and instrument type to characterise the main features of the multiplex structure of the network of large European banks. This multiplex network presents positive correlated multiplexity and a high similarity between layers, stemming both from standard similarity analyses as well as a core-periphery analyses of the different layers. We propose measures of systemic importance that fit the case in which banks are connected through an arbitrary number of layers (be it by instrument, maturity or a combination of both). Such measures allow for a decomposition of the global systemic importance index for any bank into the contributions of each of the sub-networks, providing a useful tool for banking regulators and supervisors in identifying tailored policy instruments. We use the dataset of exposures between large European banks to illustrate that both the methodology and the specific level of network aggregation matter in the determination of interconnectedness and thus in the policy making process.
A SURVEY ON COMPARISON OF HIERARCHICAL ROUTING TECHNIQUES IN WIRELESS SENSOR NETWORKS

Wireless sensor networks have brought a new wave in the technology today as a result of advancements in the micro electro mechanical systems technology, integrated circuit technology, microprocessor and Nano technology, wireless communications etc. They find a wide range of applications in areas like military, health care sector, chemical industry, agriculture, security surveillance and so on. But since sensor nodes are small devices with limited resources, careful utilization of their capabilities become important especially to conserve energy and extend the network lifetime. Many routing strategies have been proposed in order to minimize the usage of energy in WSNs. This study is an attempt to provide a wide comparison on various routing protocols used in hierarchical WSNs focusing mainly on hierarchical routing protocols so that it would help in choosing the most suitable one based on the network requirements.
The Construction of Differential Equations of Motion Program for Multi-Planar Positioning System

The subject of the article are the spatial electromechanical multi-coordinate systems. These systems are intended to determine complex motions on several axes simultaneously without mechanical elements of the transformation of a motion by means of ample opportunities of planar linear stepping motors (PLSM) with air bearing. Such PLSM allows the disscusion of the concept of the multi-coordinate electric drives which consists in constructive integration of mobile parts of several coordinates in one execution multi-coordinate system controlled by a digital computer. The method of construction of the motion equations based on the solution of the inverse dynamics problems was proposed.
Site fidelity and movement patterns of reef manta rays (Mobula alfredi: Mobulidae) using passive acoustic telemetry in northern Raja Ampat, Indonesia

Though extremely valuable to the local marine tourism industry, there is a dearth of published information on the ecology and population dynamics of reef manta rays (Mobula alfredi) in Raja Ampat, West Papua, Indonesia. Knowledge of the movement ecology in particular of this large and scattered population is urgently needed to better manage the rapidly expanding manta-focused tourism. Here we report the results of an initial passive acoustic telemetry study designed to provide local managers with the first detailed knowledge of the site use and movement patterns of reef mantas in northern Raja Ampat. A total of 39 reef mantas were tagged with Vemco V16 acoustic transmitters over a 15-month period between 27 November 2013 and 22 February 2015. To monitor their movements, VR2W acoustic receivers were deployed at eight sites corresponding to known manta cleaning and feeding aggregation sites, with receivers downloaded every six months over a two-year initial monitoring period. The duration between tag deployments and last date of detections at sites ranged from 1 to 682 days (mean ± SE = 237 ± 27). The cumulative number of days of manta detections at receiver sites by individual mantas ranged from 1 to 188 days (mean ± SE = 42 ± 7). Manta Ridge was the most popular site with 565 days of detections. The tagged mantas demonstrated strong site fidelity to the observed aggregation sites, but also exhibited seasonal movements within an approximately 150 km long corridor between sites in the Dampier Strait and the northwest of Waigeo Island. Data analysed from a nearby array of six VR2W receivers in southern Raja Ampat (approximately 180 km to the south of the study area) confirmed that none of the tagged mantas were detected in this array, providing further evidence of strong site fidelity and limited movements within the Raja Ampat Archipelago. More than 96% of detections occurred during the daytime. The number of detections reached a peak around noon at Yefnabi Kecil and Eagle Rock and slightly earlier at Manta Ridge. These findings have been shared with the Raja Ampat Marine Protected Area Management Authority and are now being used in the formulation of a management plan for this vulnerable and economically important species to ensure the long-term health of Raja Ampat’s reef mantas and the sustainability of manta tourism in the region.
Enhanced phosphorus removal in a waste stabilization pond system with blast furnace slag filters

In this work a tertiary horizontal-flow blast furnace slag (BFS) filter was tested for phosphorus removal under laboratory and field conditions. Laboratory experiments were conducted in a benchscale BFS filter for phosphorus adsorption capacity at equilibrium conditions using P-spiked water. On-site, the performance of a pilot-scale BFS filter was monitored for phosphorus removal from the final effluent of a pilot-scale WSP system located in Esholt (Bradford, UK), which comprises a primary facultative pond and a secondary aerated rock filter (ARF) in series. Adsorption capacity (q) results showed that BFS has high affinity for inorganic P species and it can remove up to 30 g P/ kg BFS; however, q values are strongly dependent on the initial P concentration. The pilot-scale BFS filter tested on-site performed better for longer (<2 mg P/L) than the laboratory-scale filter, even though despite the latter received the same hydraulic and P loadings (1.8 m 3 /m 3 d and 18 g P/ m 3 d, respectively). Both the laboratory and field results showed that BFS filters are an appropriate low-cost technology to upgrading small wastewater treatment systems for phosphorus removal.
How Specific Abilities Might Throw ‘g’ a Curve: An Idea on How to Capitalize on the Predictive Validity of Specific Cognitive Abilities

School grades are still used by universities and employers for selection purposes. Thus, identifying determinants of school grades is important. Broadly, two predictor categories can be differentiated from an individual difference perspective: cognitive abilities and personality traits. Over time, evidence accumulated supporting the notion of the g-factor as the best single predictor of school grades. Specific abilities were shown to add little incremental validity. The current paper aims at reviving research on which cognitive abilities predict performance. Based on ideas of criterion contamination and deficiency as well as Spearman’s ability differentiation hypothesis, two mechanisms are suggested which both would lead to curvilinear relations between specific abilities and grades. While the data set provided for this special issue does not allow testing these mechanisms directly, we tested the idea of curvilinear relations. In particular, polynomial regressions were used. Machine learning was applied to identify the best fitting models in each of the subjects math, German, and English. In particular, we fitted polynomial models with varying degrees and evaluated their accuracy with a leave-one-out validation approach. The results show that tests of specific abilities slightly outperform the g-factor when curvilinearity is assumed. Possible theoretical explanations are discussed.
Using inexpensive experiments to teach analysis and design in undergraduate feedback courses

new magnetic levitation project option has been developed for the final laboratory assignment in a juniorand senior-level control systems course (6.302 Feedback Systems) offered by the Department of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology [1]. The project was made available to students in the fall of 2003. The system is similar to classroom demonstration systems first described in [2] and [3], which suspend an object below an electromagnet. In our project, students assemble and modify individual kits to create their own desktop-sized systems with analog control. The unmodified basic system presented to the students is marginally stable, and students must analyze and redesign the system to improve its performance. The main goal of the project is to provide a challenging design problem that captures student interest and allows for open-ended solutions. The Basic System Figures 1 and 2 show assembled magnetic levitation systems. The kit is easy to assemble, but initial performance of the device is intentionally poor. When assembled as described, the system exhibits high sensitivity to initial conditions and considerable visible wobble of the object. This kit is based on a low-cost design developed in [4], which uses proportional control and is marginally stable. The parts kit includes all of the parts listed in Figure 3, while the students are required to provide the support stand and the object for levitation. The schematic of the basic system is shown in Figure 4. A prewound solenoid around a soft-steel bolt serves as the electromagnet. A Hall-effect sensor mounted at the base of the solenoid senses the proximity of a permanent magnet attached to the levitated object. The output voltage of the sensor drives the input of a fan-management chip, which produces a pulse-width modulated (PWM) Low-Cost Magnetic Levitation Project Kits
The Evolutionary Power of New Generations: Generations as Key Players in the Evolution of Social Systems

This paper is reporting on “generations in organizations” research in the Netherlands. This research has been carried out over the last 15 years. When it was started, literature study showed a lack of a coherent generational theory and a lack of scientific research methodology for generation research. Firstly, a generation theory was build upon fragments of what several social scientists, historians and philosophers wrote in the last two centuries. The essence of this theory is that new generations can be seen as key players in the evolution of social systems, such as organisations. The difference between succeeding generations in the same phase of life expresses the evolutionary power of the next new generation. Secondly, a research methodology needed to be developed. An important element in the methodology is video analyses of generations at work. The research in several Dutch companies in different branches showed important contrasts between generations in behaviour and little dissimilarities in values. It also showed that the interaction between generations has an important impact on the speed of the evolutionary processes in social systems.
Properties of graphene nano-filler reinforced epoxidized natural rubber composites

Reinforcement of filled rubber is governed by the rubber-to-filler interactions at nano-scale. One of the potential nano-reinforcing fillers is graphene. Dispersing nano-filler into rubber matrix still remains a challenge despite many methods reported. This paper presents an investigation on the graphene nano-fillers reinforcement in natural rubber and epoxidized natural rubber. The effect of graphene dispersion on the filler-to-rubber and filler-to-filler interactions in carbon black- and silica-filled composite system is evaluated. The rheological, Payne effect and dynamic properties of graphene nano-filler natural rubber composite are presented. The presence of graphene reduces the Payne effect of epoxidized natural rubber-silica composite resulting from better dispersion of silica fillers. In addition, the physically bound rubber of epoxidized natural rubber-silica is increased with the addition of graphene indicating better rubber-to-filler interactions. The effect of graphene is more pronounced in modified natural rubber and silica system due to higher interaction of graphene with silica and epoxidized natural rubber.
OCCURRENCE OF FUMONISINS B 1 AND B 2 IN HOMEMADE MEDICINAL PLANTS : EXPOSURE ASSESSMENT IN NORTHERN TURKEY Ü

aDepartment of Pharmaceutical Microbiology, Faculty of Pharmacy, Marmara University, 34668, Istanbul. Turkey bDepartment of Nutrition and Dietetics, Faculty of Health Science, Marmara University, 34865, Istanbul. Turkey cHead of Oncology Department, Koçak Pharmaceuticals (Koçak Farma), 34218, Istanbul. Turkey dDepartment of Pharmaceutical Toxicology, Faculty of Pharmacy, Medipol University, Kavacik Campus, Kavacik-Beykoz, 34810, Istanbul. Turkey
Advanced Data-driven Techniques for Mining Expertise

In this work, we discuss enhanced techniques that optimize expert representation and identify subject experts via clustering analysis of the available online information. We use a weighting method to assess the levels of expertise of an expert to the domain-specific topics. In this context, we define a way to estimate the expertise similarity between experts. Then the experts finding task is viewed as a list completion task and techniques that return similar experts to ones provided by the user are considered. In addition, we discuss a formal concept analysis approach for clustering of a group of experts with respect to given subject areas. The produced grouping of experts can further be used to identify individuals with the required competence.
Monte Carlo simulations of antiferromagnetic small particles

We performed Monte Carlo simulations considering two different models for antiferromagnetic small particles with Ising spins. The spins of the particle are disposed at the sites of the two dimensional arrays with coordination numbers z = 4 and z = 6, around a central spin. The core spins interact antiferromagnetically and the spins at the surface of the particle are disordered. In the first model, we consider an antiferromagnetic core surrounded by a disordered surface of the spin-glass type. In the second model, the core is still antiferromagnetic, but some bonds at the surface are broken. We determined the hysteresis curves, the zero-field-cooling (ZFC) and field-cooling (FC) curves. We have shown that the model with a disordered surface of the spin-glass type fits better the experimental measurements determined for the antiferromagnetic nanoparticles.
Impact of Customer Satisfaction and Trust on Customer Loyalty Mediating Role of Commitment (Evidence from Petroleum Sector of Pakistan)

To determine the influence of customer satisfaction, trust and commitment over customer loyalty and empirical relationship of these variables on petroleum sector of Pakistan. Questionnaire techniques were used to collect data from 200 respondents and non probability convenience sampling technique is used to collect data. Descriptive statistics, correlation and regression techniques are used to analyze the data. Customer satisfaction, trust and commitment are the important tools to explain the customer loyalty. Study explore that if fuel provider want to do long term business with existing and potential customer and make them loyal one, these companies have to increase the quality of fuel, improve staff behavior and build trust over the quality of fuel and environment of outlet. These things make customers a loyal patron of fuel provider.
Phytoremediation of Arsenic Contaminated Water

The present investigation deals with the detoxification of arsenic contaminated water using phytoremediation technique. Three macrophytes Azolla pinnata , Lemna minor, and Hydrilla verticillata were exposed to 1.0 ppm of an arsenic salt (sodium arsenite) separately as well as in combination ( ALH ) for 10 days. The concentration of arsenic in control (wild) macrophytes was below detectable limit. Following exposure, the con - centration of arsenic increased steadily in all the plants, and after 10 days, the efficacy of arsenic depletion in phytoremediated media was in the order: A. pinnata (88.06%) > L. minor (82.56%) > H. verticillata (77.53%) and 85.50% when applied in combination ( ALH ). It was found that A. pinnata can detoxify the arsenic contaminated water most efficiently.
Quantifying the Contributions of Training Data and Algorithm Logic to the Performance of Automated Cause-assignment Algorithms for Verbal Autopsy.

A verbal autopsy (VA) consists of a survey with a relative or close contact of a person who has recently died. VA surveys are commonly used to infer likely causes of death for individuals when deaths happen outside of hospitals or healthcare facilities. Several statistical and algorithmic methods are available to assign cause of death using VA surveys. Each of these methods require as inputs some information about the joint distribution of symptoms and causes. In this note, we examine the generalizability of this symptom-cause information by comparing different automated coding methods using various combinations of inputs and evaluation data. VA algorithm performance is affected by both the specific SCI themselves and the logic of a given algorithm. Using a variety of performance metrics for all existing VA algorithms, we demonstrate that in general the adequacy of the information about the joint distribution between symptoms and cause affects performance at least as much or more than algorithm logic.
Input/output selection for robust control

Two new Input/Output (IO) selection methods are proposed. The aim is to find the IO sets for which there exists a controller that achieves robust performance. IO selection could thus be based on psynthesis, but to avoid this often time-consuming process Xm controller existence conditions are used instead. To reduce conservatism, the structure in the combined uncertainty/ performance block A is “eliminated. ” The first (sufficiency-based) method augments the plant by diagonal scalings, whereas the second (necessity-based) method absorbs an uncertainty representation into the plant. An active suspension control problem illustrates both methods.
Context dependence of personalities: risk-taking behavior in a social and a nonsocial situation

Individuals of many species differ consistently in their behavioral reaction to mild novel challenges. Suites of these behaviors are referred to as behavioral syndromes or personalities. Personality traits are often phenotypically and genetically correlated. Therefore, animal personalities are generally considered as broad characteristics, with one underlying genetical and physiological mechanism that is expressed across situations and contexts. Because there are carryover effects between situations, animals are not entirely flexible in their behavior in each situation. This may cause behaviors to seem nonadaptive in isolated situations. To test whether individuals with different personalities could react differently to changes in their environment, we studied context dependence of personalities in the great tit (Parus major). We tested birds categorized as either fast or slow explorers for their latency to come back to a feeding table after a mild startle (risk-taking behavior) in a nonsocial followed by a social context. We found that the relation between exploratory behavior and risk-taking behavior depended on the social context. Females in general returned later in the social test, while male reaction to the presence of a conspecific was dependent on their behavioral type. Slow males thereby reacted to the behavior of the companion and fast males did not. These results show that although personalities have a rigid structure the relation between personality traits is context dependent. These results are discussed in the perspective of the adaptive significance and maintenance of personalities. Copyright 2005.