Miracle-dz/UniFAR-FTUs huggingface dataset:
Injury Epidemiyology in Elite Taekwondo Athletes: Retrospective Cross Sectional Study Including Three International Championships

©2019 Türkiye Spor Hekimleri Derneği. Tüm hakları saklıdır. ABSTRACT Objective: In this retrospective cohort study, taekwondo (TWD) and para-taekwondo (P-TWD) injury rates, number of injuries and types of injuries were determined. Material and Method: Injury incidences were recorded during 2 European Clubs Taekwondo Championship, 1 International Open Taekwondo Championship and 3 European ParaTaekwondo Championship which were held in Antalya. 1838 taekwondo and 74 para-taekwondo athletes were participated in 1521 taekwondo and in 59 parataekwondo competitions. The rate of injury were evaluated both as injuries per 1000 competions and per single competition. The injuries were recorded by 5 medical doctors. International Olympic Committee daily injury and illness report form was used for the injury records. Results: 38 athletes were injured in 1580 competitions; 31 of them were taekwondo and 7 were para-taekwondo athletes. The incidence of injury was determined as 20,38 injuries/1000 competitions in taekwondo and 118,64 injuries/1000 competitions in parataekwondo. 0.02 injury per competion were recorded in teakwando and 0.11 injury per competition in para-taekwondo. Lower extremity injuries were found to be the most common injuries in para-taekwando (33,89 injuries/1000 competitions) and in taekwondo (10,51 injuries/1000 competitions). Conclusion: The rate of injury in P-TWD was higher than in TWD. This study provides epidemiological information that will help to develop prevention strategies and recommendations for future injury monitoring studies and to reduce the number of injuries in taekwondo competitions.
Análise de Desempenho do Traçamento de Raios Utilizando Nuvem Computacional e o Modelo SPITS

Este trabalho tem como objetivo investigar o desempenho do traçamento de raios empregado no imageamento sísmico utilizando a nuvem computacional, visando maximizar a escalabilidade do mesmo e minimizar o tempo de execução. Os resultados obtidos mostram que (i) balancear a carga de trabalho alterando a quantidade de raios traçados por nó apresenta redução nos tempos de execução e (ii) a escalabilidade depende da quantidade total de raios.
A hybrid effort estimation model for perfective maintenance: a real experience

This paper presents the results of a hybrid estimation model for perfective software maintenance applied in a real context. The resulting model integrates heuristics and parametric methods to improve the maintenance estimation. One of the main objectives of this model is the inclusion of functionalities that provide zero function points. These functionalities can be supported by the model through impact points. Likewise, the micro function points and weighted risks have been included to provide a more realistic estimate. Finally, the model was implemented in a SME where the estimates were very approximates to the real effort. As result, the model could be implemented in a small organization with a stable maintenance process and effort deviation was 11% after applying the model.
Educational robotics: Open questions and new challenges

This paper investigates the current situation in the field of educational roboticsand identifies new challenges and trends focusing on the use of robotic technologies as a tool that will support creativity and other 21st-century learning skills. Finally, conclusions and proposals are presented for promoting cooperation and networking of researchers and teachers in Europe that might support the further development of the robotics movement in education.
Flexible work arrangements in higher education: A tale of two groups

Flexible work arrangements (FWA) and family friendly policies have been used as sign posts of modern progressive organisations, and tools of attraction and retention during periods of economic boom and downturn. Benefits of FWAs have been widely reported for both employees and organisations; however, studies and findings are sparse in the higher education sector. The sector is interesting in that the boom-bust cycles are reversed; and with the downturn in the economy, many are returning to tertiary study. As well, the higher education sector has traditionally had a clear delineation between the work of academic and general staff. In this paper we propose that with the intensification of work in the higher education sector, the divide between the work arrangements of these two distinct groups, academic and general staff, is narrowing. The focus on students as customers has raised expectations of ‘service’ to students by academic staff resulting in the need to be ‘present’ and available. On the other hand, non-traditional study pathways have resulted in less rigid work environments for general staff, in turn allowing this group better access to FWAs.
The organization of industry-science collaboration in the Dutch chemical industry : an exploratory study on the organizational arrangements applied for knowledge transfer in industrial R&D-projects

Nowadays, industry-science collaboration is a hot topic. A main reason is that both universities and public research institutes are considered to be able to act as an external source of new skills and knowledge that firms can use as input in their innovation processes. There are many possibilities (e.g. consortia, contract RD platform creation; business research; technical support) were discerned, while for the knowledge available in (i.e. base) and required by (i.e. flow) the firm a number of profiles were found. Each unique combination of a type of R&D-objective and the nature of the knowledge involved led to a specific way of collaboration, that is, regarding the organizational arrangement chosen and coordination procedures (e.g. communication frequency, monitoring) used. In addition, it turned out that in order to assess the collaborative process in a realistic way – and thus overcome disappointment in the end – all elements of the encountered configuration should be taken into account.
ANALISA INVESTASI KAPAL IKAN TRADISIONAL PURSEINER 30 GT

Analisa investasi merupakan analisa suatu usaha yang di lakukan untuk mengetahui resiko kerugian atau hasil yang akan di dapat. Dalam berinvestasi tidak hanya mendatangkan untung, tetapi resiko rugi juga sangat terbuka lebar. Kapal ikan beralat tangkap Purse seine menggunakan alat berupa jaring kerut yang digunakan untuk menangkap ikan pelagic yang membentuk gerombolan. Menurut buku Fish methods (Ayodhyoa, 1985), ikan yang menjadi tujuan penangkapan dari purse seine adalah ikan – ikan “pelagic shoaling species” yang berarti ikan – ikan tersebut haruslah membentuk gerombolan, berada di dekat dengan permukaan air dan sangatlah diharapkan pula gerombolan ikan tersebut tinggi, yang berarti jarak ikan dengan ikan lainnya haruslah sedekat mungkin. Prinsip penangkapan ikan dengan purse seine adalah melingkari gerombolan ikan dengan jaring, sehingga jaring tersebut membentuk dinding vertical, dengan demikian gerakan ikan kearah horizontal dapat dihalangi. Setelah itu, bagian bawah jaring dikerucutkan untuk mencegah ikan lari kebawah jaring. Tugas akhir ini di mulai dengan tahapan pemodelan kapal Karunia Baru. Pengambilan data biaya pembangunan kapal Karunia Baru. Yang nantinya akan Di padukan dengan data biaya perbekalan kapal serta hasil operasional kapal. Yang akan menghasilkan BEP kapal atau kapan modal pembangunan kapal akan kembali pada kapal ikan tradisional KM.Karunia Baru. Dengan biaya investasi sebesar Rp1.378. 441.000,00 dan hasil bersih pemilik kapal Rp 29.450. 500,00 pada tahun 2010, pada tahun 2011 Rp 36.306. 000,00 dan pada tahun 2012 di asumsikan sama Rp 36.306. 000,00. Dapat disimpulkan modal akan kembali pada trip ke 72 tahun ke 2 minggu ke 28
Information Resources

Module 1: Introduction to the Library home page Welcome to Information Resources for e-Business students. This product can be used as a guide to finding information on any topic, although the examples used here are all based on e-Business topics. It has been designed as a self-paced tutorial, with demonstrations of some of the main resources. You can view the demonstration, and you can also print out this file to use as a manual if you wish.
CFD study on effect of branch sizes in human coronary artery

Coronary Artery Disease (CAD) is one of the leading causes of death in developed countries. The link between Wall Shear Stress (WSS) and CAD development is well established, with studies indicating the accumulation of lesions in regions of low WSS, flow separation, and in the regions where there is departure from axially aligned unidirectional flow [5]. It has been well established that blood flow patterns are highly affected by branch flows, as bifurcations are one of the leading locations of plaque accumulation [5]. Computational fluid dynamics (CFD) is an important tool for quantifying hemodynamics.Copyright © 2011 by ASME
VLF/LF Corona Investigation

Abstract : To determine corona power for given sets of typical conditions, tests were performed at the Forestport, NY, high voltage test facility during 1985 to determine onset conditions, and in 1989 to measure corona power at VLF and LF. A discussion of the results of these tests is presented in this report. VLF/LF corona investigation.
Financial inclusion: An Indian scenario

In an underdeveloped financial system, certain segments of the population experience difficulties in obtaining appropriate access to financial services. As a result, they have to resort to high cost informal sources such as moneylenders. This is particularly true for the sporadic financing requirements of low income households for nonproductive consumption purposes and other emergency requirements such as medical expenditure. Benefits of growth, therefore, tend to concentrate in the hands of those already served by the formal financial system. In mature financial systems on the other hand, financial institutions develop appraisal techniques and information gathering and sharing mechanisms, which then enable them to finance even those activities or firms or individuals that are at the margin, thereby promoting their growth-inducing productive activities. However, developed financial systems also encounter difficulties in serving low income groups for financing their consumption and other needs.
The impact of e‐commerce on the value chain

Presents a view of the forecast impact of e‐commerce on developments of value chains in several economic sectors, with a time horizon of 2005. Highlights the scenarios that were built and demonstrates that the impact of e‐commerce technologies on value chains may vary widely across firms and sectors, as a function of sector‐specific characteristics. Concludes that the impact of e‐commerce technologies and practices on firms in the current decade may be expected to be of the same magnitude as the impact of management techniques such as just‐in‐time, or total quality management, in the 1990s.
A low-cost FMCW radar for footprint detection from a mobile platform

Footprint and human trail detection in rugged all-weather environments is an important and challenging problem for perimeter security, passive surveillance and reconnaissance. To address this challenge a low-cost, wideband, frequency-modulated continuous wave (FMCW) radar operating at 33.4GHz – 35.5GHz is being developed through a Department of Homeland Security Science and Technology Directorate Phase I SBIR and has been experimentally demonstrated to be capable of detecting footprints and footprint trails on unimproved roads in an experimental setting. It uses a low-cost digital signal processor (DSP) that makes important operating parameters reconfigurable and allows for frequency sweep linearization, a key technique developed to increase footprint signal-to-noise ratio (SNR). This paper discusses the design, DSP implementation and experimental results of a low-cost FMCW radar for mobile footprint detection. A technique for wideband sweep linearization is detailed along with system performance metrics and experimental results showing receive-SNR from footprint trails in sand and on unimproved dirt roads. Results from a second stepped frequency CW (SFCW) Ka-band system are also shown, verifying the ability of both systems to detect footprints and footprint trails in an experimental setting. The results show that there is sufficient receive-SNR to detect even shallow footprints (~1cm) using a radar based detection system in Ka-band. Field experimental results focus on system proof of concept from a static position with mobile results also presented highlighting necessary improvements to both systems.
Weight Training: Steps to Success

Aimed at beginners in weight training and those with moderate experience who want to learn how to design their own training programmes. This book provides readers with detailed instruction to the techniques and principles behind productive weight training. It includes exercises using both free weights and machine equipment, allowing readers to tailor their workout based on personal preference and the equipment available. This book demonstrates exercises designed to work all muscles, including the chest, back, shoulders, upper arms, lower arms, upper legs, lower legs, abdomen and full-body exercises. It explains the principles of programme design and how to vary the intensity of training, allowing readers to tailor a programme to their specific goals.
Wavelets and multirate filter banks : theory, structure, design, and applications

Wavelets and filter banks have revolutionized signal processing with their ability to process data at multiple temporal and spatial resolutions. Fundamentally, continuous-time wavelets are governed by discrete-time filter banks with properties such as perfect reconstruction, linear phase and regularity. In this thesis, we study multi-channel filter bank factorization and parameterization strategies, which facilitate designs with specified properties that are enforced by the actual factorization structure. For M-channel filter banks (M > 2), we develop a complete factorization, M-channel lifting factorization, using simple ladder-like structures as predictions between channels to provide robust and efficient implementation; perfect reconstruction is structurally enforced, even under finite precision arithmetic and quantization of lifting coefficients. With lifting, optimal lowcomplexity integer wavelet transforms can thus be designed using a simple and fast algorithm that incorporates prescribed limits on hardware operations for power-constrained environments. As filter bank regularity is important for a variety of reasons, an aspect of particular interest is the structural imposition of regularity onto factorizations based on the dyadic form uvt. We derive the corresponding structural conditions for regularity, for which M-channel lifting factorization provides an essential parameterization. As a result, we are able to design filter banks that are exactly regular and amenable to fast implementations with perfect reconstruction, regardless of the choice of free parameters and possible finite precision effects. Further constraining u = v ensures regular orthogonal filter banks, whereas a special dyadic form is developed that guarantees linear phase. We achieve superior coding gains within 0.1% of the optimum, and benchmarks conducted on image compression applications show clear improvements in perceptual and objective performance. We also consider the problem of completing an M-channel filter bank, given only its scaling filter. M-channel lifting factorization can efficiently complete such biorthogonal filter banks. On the other hand, an improved scheme for completing paraunitary filter banks is made possible by a novel order-one factorization which allows greater design flexibility, resulting in improved frequency selectivity and energy compaction over existing state of the art methods. In a dual setting, the technique can be applied to transmultiplexer design to achieve higher-rate data transmissions. Thesis Supervisor: Kevin S. Amaratunga Title: Associate Professor of Civil and Environmental Engineering
Maya Character Creation: Modeling and Animation Controls

A unique, in-depth approach to creating realistic characters in Maya. Maya Character Creation: Modeling and Animation Controls' author, Chris Maraffi, has expertise in the field and in the classroom that translates to the knowledge and solid teaching skills needed to make this book a "must-have"! The current trend in computer graphics is greater organic realism. Many of thetop-grossing movies today, such as Spiderman, Lord of the Rings, Jurassic Park 3 ,and Star Wars Episode 2, all feature realistic 3D characters. There is a majorneed in the 3D community for educational material that demonstrates detailedtechniques for achieving this organic reality. Maya is one of the main packagesused on such cutting-edge films, and has an established toolset for creatingbelievable 3D characters. Maya Character Creation: Modeling and Animation Controls is designed to take you through the process of designing, modeling, and setting up animation controls for complex 3D characters. The concepts, techniques, and Maya tools used foreach step in the process are presented in each chapter, followed by manyhands-on exercises. NURBS, polygon, and subdivision surface modelingtechniques are shown for creating the character's skin, and skeleton-basedanimation controls are covered in detail. You will learn how a character'sskin should deform when the skeletal joints and muscles move. AdvancedMEL scripted animation controls are also covered extensively.
Radio-frequency transistors from millimeter-scale graphene domains

Graphene is a new promising candidate for application in radio-frequency(RF) electronics due to its excellent electronic properties such as ultrahigh carrier mobility, large threshold current density, and high saturation velocity. Recently,much progress has been made in the graphene-based RF field-effect transistors(RF-FETs). Here we present for the first time the high-performance top-gated RF transistors using millimeter-scale single graphene domain on a SiO2/Si substrate through a conventional microfabrication process. A maximum cut-off frequency of 178 GHz and a peak maximum oscillation frequency of 35 GHz are achieved in the graphene-domain-based FET with a gate length of 50 nm and 150 nm,respectively. This work shows that the millimeter-scale single graphene domain has great potential applications in RF devices and circuits.
Post occupancy evaluation of energy-efficient buildings in tropical climates – Malaysia

There exists a well-known gap between occupants and building’s energy-efficient designs. A comprehensive building performance diagnostic technique, Post Occupancy Evaluation (POE) may surpass the current evaluation method by reducing the gap between occupants and building’s energy-efficient design. Due to these reasons, the aim of this research is to identify the problems with respect to energy-efficient design which affect occupants’ comfort. This research focuses on the application of energy-efficient design in office building and was conducted on energy-efficient buildings in Malaysia. A building performance survey framework, Energy-efficient Building Environmental Quality Questionnaire (EBEQ2), was used to identify the problems affecting occupants’ comfort and buildings’ Indoor Environmental Quality (IEQ). The result was analyzed using Statistical Package for Social Science (SPSS). The research outcome shows that majority of occupants are not satisfied with the thermal comfort and lighting condition of the buildings. Building certified with sustainable building rating tools does not guarantee better IEQ performance. Thus continuous research is needed to ensure energy-efficient building concept is applied effectively in each type of building.
Product Adoption Maximization Leveraging Social Influence and User Interest Mining

A Social Networking Service (SNS) platform provides digital footprints to discover users’ interests and track the social diffusion of product adoptions. How to identify a small set of seed users in a SNS who is potential to adopt a new promoting product with high probability, is a key question in social networks. Existing works approached this as a social influence maximization problem. However, these approaches relied heavily on text information for topic modeling and neglected the impact of seed users’ relation in the model. To this end, in this paper, we first develop a general product adoption function integrating both users’ interest and social influence, where the user interest model relies on historical user behavior and the seed users’ evaluations without any text information. Accordingly, we formulate a product adoption maximization problem and prove NP-hardness of this problem. We then design an efficient algorithm to solve this problem. We further devise a method to automatically learn the parameter in the proposed adoption function from users’ past behaviors. Finally, experimental results show the soundness of our proposed adoption decision function and the effectiveness of the proposed seed selection method for product adoption maximization.
Cori K-Base: Data Overview

The CORI K-Base is a digital library of contract documents, forms, and other materials related to business organization. The collection was created to facilitate academic research on enterprise structure, though practitioner use is welcomed. The K-Base includes more than four hundred fifty thousand contracts from a wide range of industries and transaction types. Most contracts come from public disclosures, though sources include regulatory and governmental agencies at the federal, state, and local levels. Download the slides at: http://papers.ssrn. com/paper=1027919 Download the audio file at: http://papers.ssrn. com/paper=1029972
An experimental study on multi-service radio on fiber transmission system for ITS road-vehicle communications

In this paper, we newly propose an integration method of all the several radio services for the Intelligent Transport System (ITS) by using radio on fiber technology. In the proposed method, we use a common radio frequency band to integrate several radio services. In order to confirm the feasibility of our proposed system, we investigate the total transmission performance integrated radio and optical link by transmitting Japanese PHS, PDC and IS-95 CDMA systems. Moreover, we have developed an example radio on fiber demonstrator for ITS, which integrated Electric Toll Collection (ETC) and Japanese PHS systems. We also introduce the configuration.
Modeling and Bayes Estimation of Battery Lifetime for Smart Grids Under an Inverse Gaussian Model

An efficient use of many power systems, from smart grids to mobile devices, requires a careful assessment of the lifetime of the employed batteries. In this paper, a stochastic method for estimating the probability di¬stributions of the battery lifetime is illustrated, which is in particular focused on smart grid applications. The method is based upon a Poisson random process for describing the current load, as motivated by the intermittent supply capability of renewable resources, and uses an advanced battery model, with a proper stochastic input, for deducing the battery lifetime. Extensive numerical experiments performed by means of such battery model and laboratory tests have shown that the best fitting reliability model of a generic battery is the Inverse Gaussian model. This model is thoroughly discussed in the paper and, in order to address the problem of the parameter estimation of such reliability model, a novel practical Bayes approach is proposed, based upon an Inverted Generalized Gamma Distribution. Then, the feasibility and efficiency of such estimation method is illustrated by extensive stochastic simulations. An insight on some key aspects on reliability model identification closes the paper, focusing the attention on hazard rate function characteristics, remarking that it is a decreasing function for large mission times.