Miracle-dz/UniFAR-FTUs huggingface dataset:
A Testing Battery for the Assessment of Fitness in Soccer Players

STRENGTH AND CONDITIONING PROFESSIONALS WORKING WITH SOCCER TEAMS MUST BE ABLE TO ADMINISTER A TIME-EFFICIENT, VALID, AND RELIABLE FITNESS TEST, WITH HIGH CONTENT VALIDITY. BASED ON THESE CRITERIA AND THE RESEARCH HEREIN, THE FOLLOWING BATTERY IS ADVISED: ANTHROPOMETRY, SQUAT JUMP, COUNTER MOVEMENT JUMP, REACTIVE STRENGTH, 1 REPETITION MAXIMUM (1RM) POWER CLEAN, 1RM SQUAT, PRO-AGILITY, LINEAR SPEED, AND YO-YO INTERMITTENT RECOVERY TEST. THE RESULTS CAN GUIDE THE STRENGTH AND CONDITIONING PROFESSIONALS AND TECHNICAL COACHES IN PROGRAM DESIGN, LEADING TO MORE EFFECTIVE AND EFFICIENT GOAL ACHIEVEMENT.
Scaling limits of long-range quantum random walks

In this thesis we introduce a variation on the quantum random walk to discuss shifts in an arbitrary range. The concept of Hadamard coin was therefore generalised to a higher order. By a Fourier transform method and a tensor product decomposition of the evolution matrix the long-range quantum random walk was found to converge in distribution to a random variable, different for every range. The limiting random variable consists of three parts: one part fast decaying with the range size, a non-convergent part and a convergent part. Lastly, an introduction was made into the topic of trapped quantum random walks. As a starting point, the survival probability of such a walk on a 3-cycle was calculated and found to scale as 2^(-n), as does the classical trapped random walk on this topology.
Climate Change and Its Impact on Thar Desert Ecosystem

Thar Desert region of western Rajasthan which spreads in around 19.61 million ha, is very fragile and is subjected to excessive stresses due to frequent drought and low rainfall, which occurs once in 2 or 3 years in the region, causing extreme stress to fauna due to limited seasonal grazing resources. The InterGovernmental Panel on Climate Change (IPCC, 2007) and the PRECIS model have projected hotter days and warm nights and a reduction in rainfall in Thar region by 21 st century. Such projected climate change results in shifting rainfall pattern, higher temperatures, more demand for water and will be significant driver of biodiversity with changing life cycles, loss, migration and invasion of new habitat in Thar region. To understand the climate changes in Thar region, long-term trends in annual rainfall and temperatures for Thar region were analyzed. The study showed that the air temperatures by the end of 21 st century are likely to increase by +3.3 O C at Bikaner, +3.4 O C at Jaisalmer, +2.9 O C at Jodhpur and +2.5 O C at Pali. Similarly, the annual rainfall of is likely to be increased by +100 mm at Bikaner, +124 mm at Jaisalmer, -40 mm at Jodhpur and +21 mm at Pali. The spatial and temporal variation in potential evapotranspiration requirement of Thar region ranged from 2.1 mm/day to 12.2 mm/day and on an annual basis between 1500 mm to 2220 mm. Further, the impact of projected air temperature upto a rise of 4 O C by 21 st century increases in evapotranspiration requirements by 9 to 23% during monsoon period and 13-47% during winter period and such increased demand in water due to global warming will reduce the water and feed resources of Thar region.
The Role of csgA and bcsA Genes on Biofilm Formation and Virulence in Salmonella enterica Serovar Typhimurium

Received: Revised: Accepted: Published online: August 16, 2017 February 19, 2018 February 21, 2018 April 24, 2018 Biofilm formation can increase bacterial resistance to adverse conditions. However, limited information is available regarding the roles of the csgA and bcsA genes involved in biofilm formation and virulence for Salmonella enterica serovar Typhimurium. Here we deleted the csgA and bcsA genes in S. Typhimurium strains S016 and S025 and assessed several aspects of biofilm formation and virulence. The ΔcsgA strains did not produce curli fimbriae and ΔbcsA mutants had decreased cellulose production. The ΔcsgA strains were unable to form biofilms. The ΔcsgA strains also showed decreased adhesion and invasion to HeLa cells and reduced intracellular proliferation in HD11 macrophages. The ΔbcsA mutants had similar adhesion, invasion, and proliferation as compared to the wild-type strains. The ΔcsgA strains were significantly attenuated in the virulence in assays involving oral challenge of one-day-old chickens. These findings clarify the respective roles of csgA and bcsA in biofilm formation and pathogenicity of S. Typhimurium. ©2018 PVJ. All rights reserved
Saltating Snow Mechanics: Three Species Classification from High Speed Videography

The current understanding of blowing snow transport is derived from coupling time-averaged measurements of particle saltation and suspension with nearby wind measurements. Recently, two-phase aeolian flow studies have benefited from high frequency turbulence measurements and particle tracking, allowing a stronger comprehension of particle flow dynamics. However, these sand-based transport observations cannot be directly adopted for saltating snow because they assume an underlying bed of discrete particles and so neglect the bonds and structural metamorphism unique to snow crystal matrix structures. To examine the potential distinctive nature of snow saltation, this study employs laser illuminated high-speed videography and ultrasonic anemometry to examine snow transport over a natural snowpack in detail. A saltating snow measurement site was established at the Fortress Mountain Snow Laboratory, Alberta, Canada and instrumented with two Campbell CSAT3 ultrasonic anemometers sampling at 50 Hz and a two dimensional Particle Tracking Velocimetry (PTV) system. The experiment has demonstrated the applicability of PTV methods to outdoor environments for blowing snow studies. A three species sub-classification of saltation from blowing sand studies allows for description of overlooked snow transport and initiation processes. However, complex behaviour that is specific to blowing snow such as the tumbling and disintegration of aggregate snow crystals, which eject smaller grains and feed disintegrating grains into the atmosphere has also been documented, complicating direct sand subspecies application. This unique avenue of data informs a new conceptualization of saltating snow transport mechanisms.
Are Reprocessed Endoscope free from Contaminants

Endoscopes have been contaminated with organic material from a prior procedure something healthcare workers call “bioburden. ” While most of these cases are recognized before the devices reach the patient, in some instances these soiled instruments have contaminated the sterile field. Due to the nature of endoscopes, with small lumens and a combination of mechanical and electrical components and complexity of materials, effective reprocessing can be challenging to practically achieve. Endoscopic procedures carry a risk of causing infection. Infectious agents contaminating an endoscope can originate from failures in the decontamination process, from contamination during storage, or from previous patients. After manual cleaning the instrument must be either disinfected or sterilized manually or by using an automated endoscope reprocessor (AER). The final stage of the process is drying and ensuring safe storage. This review describes an investigation into a sudden increase in contamination of different types of endoscope rate following „clean‟ surgery.
An Uncertainty-Aware Visual System for Image Pre-Processing

Due to image reconstruction process of all image capturing methods, image data is inherently affected by uncertainty. This is caused by the underlying image reconstruction model, that is not capable to map all physical properties in its entirety. In order to be aware of these effects, image uncertainty needs to be quantified and propagated along the entire image processing pipeline. In classical image processing methodologies, pre-processing algorithms do not consider this information. Therefore, this paper presents an uncertainty-aware image pre-processing paradigm, that is aware of the input image’s uncertainty and propagates it trough the entire pipeline. To accomplish this, we utilize rules for transformation and propagation of uncertainty to incorporate this additional information with a variety of operations. Resulting from this, we are able to adapt prominent image pre-processing algorithms such that they consider the input images uncertainty. Furthermore, we allow the composition of arbitrary image pre-processing pipelines and visually encode the accumulated uncertainty throughout this pipeline. The effectiveness of the demonstrated approach is shown by creating image pre-processing pipelines for a variety of real world datasets.
Human Erythrocyte Arginase Purification and Characterization 1

Arginase was purifiedfrom human erythrocytes. The purification steps included acetone precipitation, DEAE-cellulosechromatography and gel filtration on Sepharoe6B.The molecular weight of native arginase was find to be (94.406Kd), by gel filtration.The kinetic properties determinedfor the purified human erythrocytesarginaseshowed an optimum pH of 10 and anoptimumtemperature 45 °C. The Km for L-argininemonochlorideand Vmaxvalues forhuman erythrocyte arginase found to be (200mM), and (47(Unit/ml) -1 ) respectively
Studying Relationship between Job Satisfaction and Burnout (Case Study: HSE Managers in Karajroad Industries)

The aim of this study is to investigate the relationship between job satisfaction and burnout. In this regard, in this study a general hypothesis and three secondary hypotheses have been formed to investigate the relationship between job satisfaction and burnout and its dimensions (emotional exhaustion, depersonalization-individual inefficiency). All hypotheses approved and all of them are significant as -0.56, - 0.48, - 0.64, - 0.41- respectively which represents an indirect and linear relationship between these two variables. Whatever proper conditions exist in working places and management and responsible of organization make proper decisions in organizations and cooperation and integration between employees and management be in acceptable degree and salaries to be paid on time and also rewards and punishments considered perfectly, employees and managers encounter low burnout and eventually efficiency in organizations shall be increased.
Application of WRF-Chem Model to Simulate PM10 Concentration over Bogota

ABSTRACTThe online meteorological and chemical transport Weather Research and Forecasting with Chemistry (WRF-Chem) model is implemented over Bogota and validated against ground-based observations for meteorological variables and PM10 concentrations. The simulated average temperature shows a very small positive bias. The relative humidity and wind speed are also overpredicted for the selected simulations. The 24-h average PM10 concentration is underpredicted compared to the overall ground observations. Overall, the present case study shows that the WRF-Chem model has an acceptable performance for meteorological variables as well as PM10 concentration over Bogota. This study provides a general overview of WRF-Chem simulations and can serve as a reference for future air quality modelling exercises for PM10 over Bogota.
Heavy Ion Microbeam and Broadbeam Transients in SiGe HBTs

Jonathan A. Pellish, Robert A. Reed, Dale McMorrow, Gyorgy Vizkelethy,Veronique Ferlet-Cavrois, Jacques Baggio, Philippe Paillet, Olivier Duhamel,Stanley D. Phillips, Akil K. Sutton, Ryan M. Diestelhorst, John D. Cressler,Paul E. Dodd, Michael L. Alles, Ronald D. Schrimpf, Paul W. Marshall, andKenneth A. LaBelSiGe HBT heavy ion current transients are measured using microbeam and both high-and low-energy broadbeam sources. These new data provide detailed insight into theeffects of ion range, LET, and strike location.Corresponding and Presenting Author• J. A. Pellish is with the NASA Goddard Space Flight Center, Code 561.4, 8800 Green-belt RD, Greenbelt, MD 20771 USA. Phone: 301.286. 6523, Fax: 301.286. 4699,Email: jonathan.a. pellish@nasa.govContributing Authors• R. A. Reed, M. L. Alles and R. D. Schrimpf are with the Department of Electrical En-gineering and Computer Science, Vanderbilt University, 2301 Vanderbilt PL, StationB 351824, Nashville, TN 37235 USA. • D. McMorrow is with the Naval Research Laboratory Code 6812, 4555 OverlookAVE, SW, Washington, DC 20375 USA. • G. Vizkelethy and P. E. Dodd are with Sandia National Laboratories, Albuquerque,NM 87185 USA. • V. Ferlet-Cavrois, J. Baggio, P. Paillet, and O. Duhamel are with the CEA, DAM, DIF,F-91297 Arpajon, France. • S. D. Phillips, A. K. Sutton, R. M. Diestelhorst, and J. D. Cressler are with theSchool of Electrical and Computer Engineering, Georgia Institute of Technology,777 Atlantic DR, NW, Atlanta, GA 30332 USA. • P. W. Marshall is a NASA consultant, Brookneal, VA 24528 USA. • K. A. LaBel is with the NASA Goddard Space Flight Center, Code 561.4, 8800 Green-belt RD, Greenbelt, MD 20771 USA.Session Preference: Single-Event Effects, Mechanisms and ModelingPresentation Format: Oral
FINE GRAINED MULTI ACCESS CONTROL VIA GROUP SHARING IN DISTRIBUTED CLOUD DATA

Distributed cloud data storage is an advanced and empirical concept in present days for out sourcing of data in cloud. A new decentralized grained access control approach is required for privacy on data storage that supports anonymous authentication. In this paper we introduce to propose and develop an approach i.e. Scalable Attribute Based Encryption (SABE) to achieve grained with flexible and scalable access control in cloud computing for secure distributed cloud storage. SABE is not only perform scalable due to its pyramid structure, it also share effective and flexible access control in supporting on ABE, it also assigns for user expiration time and revocation efficient than existing schemas. Protected data transmission among users should be effective in as well as flexible in order to support access control policy models with secure team communication, selective and hierarchal data transfer control in sharing. So in this paper we propose and develop Transmitted Team Key Management (TTKM), where each client (user) in group shares a secret trust key owner with subsequent rekeying for data sharing join or departure of users requires only broadcast message between data sharing in cloud. We analyze the privacy of proposed TTKM schema and compare with existing SABE security schema’s in distributed data sharing. We also provide real time secure cloud setup with suitable server configurations based on service domain IP-address and service domain. Our experimental results show effective data access control with authorized security considerations.
Multi-modal Person Tracking: Toward Implicit Communication for Peer-to-Peer Human-Robot Teams in Shared Workspaces

I present here a multi-modal system for person tracking designed for mobile robot platforms equipped with laser range measurement and color camera sensors. Basic person tracking is achieved by filtering “leg” circle features extracted from a laser sensor, considered in combination with the target position (with respect to a particular image) estimated by a vision-based tracking algorithm. This work implements and builds upon previous research successes, and is novel primarily in its combination of the individual elements. The final project strives to be easy to use, being documented and based upon an object-oriented design, and should thus represent a nontrivial contribution toward a larger research project to develop methods for peer-to-peer human-robot teams through implicit communication.
Svamp - An Integrated Approach for Modeling Functional and Quality Variability.

Software variability modeling is a complex task. To manage this complexity, we introduce an approach called Svamp. The main contribution of Svamp is to model concepts through ontologies and offer tool support for capturing functional and quality variability in software product family architectures. Variability description languages are defined by different ontologies that provide meta-models. For structural and functional descriptions, the concepts, properties, and rules are defined by Kumbang ontology. Quality Attribute ontology defines the domain knowledge of a specific quality attribute, while Quality Variability ontology provides the concepts and rules related to quality variation. The approach is exemplified by our integrated tool suite, provided as a plug-in for the Eclipse platform.
The relationship between human capital, value creation and employee reward

Purpose – The purpose of this paper is to examine the relationship between human capital (HC) and value creation and employee reward. HC is an important component of intellectual capital (IC). There is growing interest in how IC can be used to create organizational value. This paper addresses the need for critical analysis of IC practices in action. Based on data gathered from three annual surveys at Australia’s second largest public sector organization, the paper introduces psychological contract (PC) as new HC factors, and develops a method to measure HC in terms of value creation (work activity) and employee reward (pay). The findings have practical implications for managers in using the paper’s HC measurement to achieve strategic alignment (SA) of the workforce. Design/methodology/approach – The research was based on data gathered from three annual surveys (2009-2011) of staff at Australia’s second largest public sector organization. A total of 248 questionnaires were completed. Three independent vari.
Maladaptive host choice by an alien leaf miner Phyllonorycter leucographella (Lepidoptera: Gracillariidae) has the potential to limit its invasiveness

Alien phytophagous insects are often introduced along with their host plants, creating opportunities for troublesome invasions. Yet, not all of them are able to successfully colonize novel host plants. In this study, we investigated host selection by the alien leaf miner Phyllonorycter leucographella (Zeller, 1850) on both its original host and novel host plants in the insect's alien range. We predicted that this insect's percentage infestation of the original host would be positively related to its specific leaf area (SLA), because high-SLA leaves are nutritious and have thin cuticles, traits related to high offspring developmental success. We further hypothesized that this host selection process would apply in the selection of novel host plants. Our results show that this leaf miner selects leaves of its original host plant, Pyracantha coccinea, according to their SLA values. The SLA value was also positively related to the probability of P. leucographella infesting and successfully developing on novel host plants. The selection of high-SLA plants by the moth leads to a high developmental success on novel host plants in the first (summer) generation, but it is likely to be maladaptive in the second (overwintering) generation, because in temperate Europe, high SLA values are associated with deciduous plants that shed their leaves in autumn. It is likely that the apparent maladaptive selection of novel host plants by P. leucographella reduces the invasiveness of this pest by preventing its establishment on native plants.
Visual Evaluation of Cloud Infrastructure Performance Predictions

The workload of a cloud infrastructure is continuously changing. Administrators need to find the balance between quality of service and cost efficiency. Proactively avoiding performance bottlenecks is a challenging endeavor due to the number and heterogeneity of the network components, the relationships among them, and the associated attributes. While pattern detection and simulation methods can be used to predict the performance of the network, efficient tools for exploring and evaluating those predictions are missing. In this poster we present first results of a design study for visually evaluating cloud infrastructure performance predictions. We combine established visualization techniques for exploring large item collections with custom techniques for investigating predicted timeseries data, allowing the administrator to effectively monitor, evaluate, and optimize cloud infrastructure.
Error Rate Performance Comparisons of Precoding Schemes over Fading Channels for Multiuser MIMO

Abstract—In Multiuser MIMO communication systems, interuser interference has a strong impact on the transmitted signals. Precoding technique schemes are employed for multiuser broadcast channels to suppress an interuser interference. Different Linear and nonlinear precoding schemes are there. For the massive system dimension, it is difficult to design an appropriate precoding algorithm with low computational complexity and good error rate performance at the same time over fading channels. This paper describes the error rate performance of precoding schemes over fading channels with the assumption of perfect channel state information at the transmitter. To estimate the bit error rate performance, different propagation environments namely, Rayleigh, Rician and Nakagami fading channels have been offered. This paper presents the error rate performance comparison of these fading channels based on precoding methods like Channel Inversion and Dirty paper coding for multiuser broadcasting system. MATLAB simulation has been used. It is observed that multiuser system achieves better error rate performance by Dirty paper coding over Rayleigh fading channel.
Returns to higher education subjects and tiers in China: evidence from the China Family Panel Studies

ABSTRACT Using the China Family Panel Studies, we identify the subjects studied by vocational college and university graduates, with the latter group further divided into ordinary and key universities. While the returns are around 8–10% to attending colleges and ordinary universities, there are higher returns of 12–16% per annum to attending the more prestigious key universities. The recent massive expansion of the higher education sector resulted in reduced returns to all HE types, except for graduates who studied subjects other than LEM (law, economics, and management) or STEM (sciences, technology, engineering and math/medicine) at key universities. We further account for selection on observables into subjects and tiers using the doubly robust Inverse Probability Weighted Regression Adjustment method (IPWRA) approach. While these results are tentative, they suggest that pooled OLS and random-effect models substantially underestimate the effect of attending universities that are more prestigious for graduates of both genders in LEM.