Miracle-dz/UniFAR-FTUs huggingface dataset:
Motivations for Knowledge Sharing in Free Software Communities

Knowledge sharing is a key aspect for a community of practice. Free software communities can be considered communities of practice, since they aggregate people interested in donating and collecting, that is, sharing knowledge about free software. According to the literature, the donation and collection of knowledge are motivated by different factors and these motivations may vary depending on the context. Free software communities may include members from different countries and backgrounds, which can make keeping such communities active and vigorous a challenge. This study aims to identify the motivations for knowledge sharing behaviour that are susceptible to leadership actions in free software communities. The research was carried out in three phases. First, a qualitative study involving twenty semi-structured interviews was conducted among members of a free software community, who suggested sixteen motivations for knowledge sharing behaviour. These motivations were then organized into three groups, each with a specific focus: three motivations only influence knowledge collection and focus on the knowledge itself; nine motivations only influence knowledge donation and focus on the individual; and four motivations influence both knowledge collection and knowledge donation, and focus on the relationships among individuals. After that, based on the groups of motivation identified in the previous phase, five leaders from different communities of practice were interviewed with the aim of identifying the main motivations that would be susceptible to their actions, which were knowledge quality, ease of access to knowledge, recognition, community support for knowledge sharing, learning and professional reasons. Finally, these six main motivations indicated by the leaders were tested in a quantitative phase involving 260 members of different free software communities. The results show that learning and ease of access to knowledge influence knowledge collection; recognition, community support for knowledge sharing and knowledge collection influence knowledge donation; and professional reasons influence both knowledge collection and knowledge donation in the context of free software communities.
SIMULATIONS OF MULTIPACTING IN THE CATHODE STALK AND FPC OF 112 MHZ SUPERCONDUCTING ELECTRON GUN

A 112 MHz superconducting quarter-wave resonator electron gun will be used as the injector of the Coherent Electron Cooling (CEC) proof-of-principle experiment at BNL. Furthermore, this electron gun can be used for testing of the performance of various high quantum efficiency photocathodes. In a previous paper, we presented the design of the cathode stalks and a Fundamental Power Coupler (FPC). In this paper we present updated designs of the cathode stalk and FPC. Multipacting in the cathode stalk and FPC was simulated using three different codes. All simulation results show no serious multipacting in the cathode stalk and FPC.
Contracts and Returns in Private Equity Investments

We analyze the relationship between contracts and returns in private equity (PE) investments. Contractual control in the form of covenants tends to be employed to identify good deals. Better quality firms are more likely to have covenant-rich contracts, as they are less concerned by the constraints imposed by the covenants. PE investors appoint closer associates of the fund in deals that are performing poorly but tend to outsource board governance in better deals. Collectively, our evidence suggests that PE investors operate along two dimensions, choosing covenants and board seats differently, based on the ex ante quality of the company.
Multimedia communications in vehicular adhoc networks for several applications in the smart cities

Road safety applications envisaged for vehicular ad hoc networks (VANETs) depend largely on the exchange of messages to deliver information to concerned vehicles. Safety applications as well as inherent VANET characteristics make data dissemination an essential service and a challenging task. We are developing a decentralized efficient solution for broadcast data dissemination through two game-theoretical mechanisms. Besides, VANETs can also include autonomous vehicles (AVs). AVs might represent a revolutionary new paradigm that can be a reality in our cities in the next few years. AVs do not need a driver to work; instead, they should copy a proper human behavior to adapt the driving according to the current circumstances, such as speed limit, pedestrian crossing street or wheather conditions. We will develop an AV software module including artificial intelligence (AI) techniques so that AVs can interact with the dynamic scenario throughout time. Finally, we also will include electrical vehicles (EV) in the VANET, so that special services such as finding and reserving an EV charging station place will be welcome. In addition, we are developing a multimetric geographic routing protocol for VANETs to transmit H.265 video (traffic accident, traffic state, commercial….) over VANETs.
Hydrogen in crystalline semiconductors

The state of the current understanding of hydrogen in elemental and compound semiconductors is reviewed. The results of new experimental and theoretical studies of the microscopic structure of acceptor-hydrogen and donor-hydrogen complexes are presented. Questions regarding hydrogen tunnelling in some of the acceptor and donor complexes in elemental semiconductors, as well as the problem of electronic states of isolated hydrogen, are discussed in the light of the most recent experimental findings. Also, some promising areas of future research are indicated.
The Meaning of Market E ¢ ciency

Fama (1970) de ned an e¢ cient market as one in which prices always fully reectavailable information. This paper formalizes this de nition and provides various characterizations relating to equilibrium models, pro table trading strategies, and equivalent martingale measures. These various characterizations facilitate new insights and theorems relating to e¢ cient markets. In particular, we overcome a well known limitation in tests for market e¢ ciency, i.e. the need to assume a particular equilibrium asset pricing model, called the joint-hypothesis or bad-model problem. Indeed, we show that an e¢ cient market is completely characterized by the absence of both arbitrage opportunities and dominated securities, an insight that provides tests for e¢ ciency that are devoid of the bad-model problem. Other theorems useful for both the testing of market e¢ ciency and the pricing of derivatives are also provided.
Event-Pattern Triggered Real-Time Tasks ∗

We present the concept of pattern-triggered tasks which are released when a particular pattern of events occur. A formal event algebra is used to de(cid:2)ne complex triggering conditions for these tasks, and the detection of triggering conditions is performed within the system by code generated automatically from these de(cid:2)nitions. The implementation of the algebra has many desirable features for resource constrained real-time systems, including bounded and low execution time and memory consumption. Furthermore, we present novel schedulability analysis for our pattern-triggered tasks that leverage on existing analysis for (cid:2)xed-priority and dynamic-priority scheduling policies.
Magnetic sensing for microstructural assessment of power station steels: Magnetic Barkhausen noise and minor loop measurements

There are currently no techniques available to monitor the microstructural condition of power station steel components in-service (at elevated temperatures). Electromagnetic (EM) inspection methods have the potential to provide a solution to this problem. Tests have been carried out on power generation steel (P9 and T22) samples with different microstructural states using major and minor B-H loop measurements and correlations established between EM properties and material properties such as Vickers hardness. These correlations will be used to develop a field deployable tool for the quantification of degradation in power station steels.
Sensing Mobile Device Orientation Through ECT Reconstructed Image Processing

Abstract We present TomoTable—a research prototype of a position sensing device hidden inside an ordinary table. While the Human-Computer Interaction (HCI) field has extensively explored possibilities for spatially-aware multi-device interactions, the sensing methods that would enable such systems are still complex and hard to deploy in the wild. TomoTable presents a possibility of easily deployable invisible positional sensing that uses electrical capacitance tomography (ECT). Electrodes are embedded inside the table structure and provide accurate imaging of what is placed on the table. The entire system is invisible to the user. Objects can be identified based on their electrical properties. Our work creates opportunities for in-the-wild studies using multi-device systems. In this paper, we share the technical concept of TomoTable, preliminary insights on its use and perspectives for future studies.
DESIGN OF A 4 ROD CRAB CAVITY CRYOMODULE SYSTEM FOR HL-LHC

The LHC requires compact SRF crab cavities for the HLLHC and 3 potential solutions are under consideration. One option is to develop a 4 rod cavity utilising for quarter wave rods to maintain a dipole field. The cavity design has been developed including power and LOM/HOM couplers have been developed, as well as a conceptual design of a complete cryomodule system including ancillaries and this is presented. The cryomodule is designed to allow easy access during testing and uses a novel support system and contains the opposing beamline section to fit inside the LHC envelope.
Quasi Epipolar Resampling of Linear Scanner Triplets for Stereo Matching

The paper proposes a method for quasi-epipolar resampling of stereo triplets from tri linear scanner. In proposed methodology, distinct features from image triplet are extracted using the Scale Invariant Feature Transform (SIFT) algorithm. These feature points are matched using Best Bin First (BBF) algorithm and then, using these corresponding points from Aft-Nadir and Nadir-Fore pair, affine parameters are determined to resample Aft and Fore view with respect to the Nadir image. If the images are not epipolarly resampled then, the search space will be many scan lines in y direction to find the corresponding pixel. Whereas once epipolar resampled the search is limited to a single scan line. Due to various reasons, the images cannot be rectified to make the y parallax exactly zero. Using the data-set from CH-1 mission the experiment is performed and the mean value of y parallax has been obtained in the range of –0.1 to +0.1 pixel with the standard deviation ranges from 0.5 to 1.5 pixels. Hence, in most of the cases the search range is at most ± 1 scan line.
Virgin olive oil is by definition the oil obtained from the olive fruit through physical procedures , which The postharvest of mill olives By

El mayor deterioro del aceite de oliva es debido a la inadecuada manipulación de las aceitunas durante el tiempo que media entre su cosecha y su procesado. El almacenamiento de las aceitunas se lleva acabo mediante el simple amontonamiento del fruto, esperando su procesamiento. Estos frutos desarrollan toda clase de procesos degenerativos en un corto periodo de tiempo. Los aceites obtenidos a partir de estos frutos exhiben deterioros hidrolíticos y oxidativos característicos, confirmados por sus valores altos de acidez, de índice de peróxidos o de absorbancia en la región ultravioleta a 232 y 270 nm. Para evitar esta situación, la industria intenta reducir al máximo el intervalo entre la cosecha y el procesado del fruto, mediante un aumento de la capacidad de molturación. Sin embargo, el equipo necesario para prevenir la acumulación de fruto en Enero no se precisa para el resto de la campaña. En este capítulo, la refrigeración de las aceitunas o el uso de tratamientos físicos, que permiten el procesado de frutos poco maduros, son analizados como alternativas posibles.
Assessing DNA sequence features underlying copy number variants

Two goals of this study were to investigate the impact of sequence complexity on CNV formation and the impact of sequence quality on false positive CNV calls. Sequence complexity was expressed by the variation of base pairs near CNV breakpoints, sequence quality – by the number of unknown base pairs in the UMD3.1 reference genome at CNV sites. The sequence complexity coefficient of the 400 bp flanking the beginnings of duplications varied between 199 and 370 (285.92±18.72), while the ends between 212 and 371 (285.74±18.37). The complexity of sequence flanking beginnings of deletions ranged between 181 and 399 (281.30±14.95), while of the ends between 144 and 399 (281.57±14.68). The comparisons of probability distributions of complexity coefficients underlying deletions with complexity coefficients of permuted sequences, representing a randomised sequence complexity, revealed highly significant (P<10-15) differences between both, beginnings of true and permuted sequences, as well as between true and permuted ends of duplications. DNA sequence complexity flanking true duplication breakpoints revealed a higher variance than that of permuted sequences and a shift of probability density underlying true deletion sequence complexity towards lower values than a probability density underlying permuted sequences. The same trend was observed for deletions differences between distributions of complexity coefficients underlying empirical (i.e. permuted) and true sequences were significant (P<10-15). As for duplications, there was a higher variability of true vs. permuted sequences and the probability distribution of complexity coefficients of true deletions tended towards lower sequence complexity that in the case of permuted data. Moreover, a significant difference was obtained for comparing distributions of the numbers of unknown nucleotides in sequences underlying begins/ends of CNV deletions with begins/ends of CNV duplications (both P<10-15). CNVs appear to be preferentially initiated in regions of low sequence complexity. However, CNV detection is still subjected to errors. One source of false positive calls for deletions arises from the incompleteness of reference genomes.
A Simplified Overview of TTS Techniques

TTS (Text to Speech), also known as speech synthesis, is a kind of import technology of artificial intelligence. TTS mainly includes rule-driven and data-driven two kinds of approaches. Some important approaches of TTS are articulatory synthesis, formant synthesis, concatenate synthesis, unit selection synthesis, HMM synthesis and DNN synthesis. This paper will give a simple introduction to all the approaches. Finally, these approaches are compared and the technical trend of TTS is discussed briefly.
The magnetic-field strengths of accreting millisecond pulsars

In this work we have estimated upper and lower limits to the strength of the magnetic dipole moment of all 14 accreting millisecond X-ray pulsars observed with the Rossi X-ray Timing Explorer (RXTE). For each source we searched the archival RXTE data for the highest and lowest flux levels with a significant detection of pulsations. We assume these flux levels to correspond to the closest and farthest location of the inner edge of the accretion disc at which channelled accretion takes place. By estimating the accretion rate from the observed luminosity at these two flux levels, we place upper and lower limits on the magnetic dipole moment of the neutron star, using assumptions from standard magnetospheric accretion theory. Finally, we discuss how our field strength estimates can be further improved as more information on these pulsars is obtained.
A New Anchor Shot Detection System for News Video Indexing

In this paper, we present a new anchor shot detection system which is a core step of the preprocessing process for the news video analysis. The proposed system is composed of four modules and operates sequentially: 1) skin color detection module for reducing the candidate face regions; 2) face detection module for finding the key-frames with a facial data; 3) vector representation module for the key-frame images using a non-negative matrix factorization; 4) anchor shot detection module using a support vector data description. According to our computer experiments, the proposed system shows not only the comparable accuracy to the recent other results, but also more faster detection rate than others.
Sustainable Combined Production of Hydrogen and Energy from Biomass in Malaysia

This work relates to a comparison between process solutions for the production of H2 and the coproduction of H2 and energy by means of a zero emission biomass integrated gasification and a combined cycle (BIGCC) power plant. The energy production is 10 MWe, in agreement with the Small Renewable Energy Power Plant (SREP) Program, promoted by the Government of Malaysia. H2 is obtained by supercritical water gasification (SCWG), a technology of interest for the processing of biomass with high moisture content. An economic analysis has been carried out in order to demonstrate the feasibility of the process solutions and to compare their convenience. The feedstock is 280,000 t/y of Empty Fruit Bunch (EFB), a biomass obtained in the Palm Oil Industry. The location of the site is Teluk Intak District in the State of Perak (Malaysia). The processes are designed with Aspen Plus V7.2. The aim of this work is to develop detailed process flow diagrams for the supercritical water gasification technology in order to study and compare the convenience and the sustainability of different scenarios that can be adopted in an industrial context. The processes have been developed to reach zero emissions and zero wastes. CO2 and solid residuals are recycled inside the palm oil lifecycle. A cost analysis has been performed to find out the convenience of the proposed solutions.
MOLECULAR CHARACTERIZATION OF CELLULASE PRODUCING MICROBACTERIUM BARKERI ISOLATED FROM AGRICULTURAL WASTE.

Tanuja 1 and Jaya Philip 2 . 1. Department of Botany, T.P.S College, Magadh University, Bihar India. 2. Department of Botany, BRABU, Muzaffarpur, Bihar, India. Manuscript Info Abstract . Manuscript History
Sparsity Based Locality-Sensitive Discriminative Dictionary Learning for Video Semantic Analysis

Dictionary learning (DL) and sparse representation (SR) based classifiers have greatly impacted the classification performance and have had good recognition rate on image data. In video semantic analysis (VSA), the local structure of video data contains more vital discriminative information needed for classification. However, this has not been fully exploited by the current DL based approaches. Besides, similar coding findings are not being realized from video features with the same video category. Based on the issues stated afore, a novel learning algorithm, called sparsity based locality-sensitive discriminative dictionary learning (SLSDDL) for VSA is proposed in this paper. In the proposed algorithm, a discriminant loss function for the category based on sparse coding of the sparse coefficients is introduced into structure of locality-sensitive dictionary learning (LSDL) algorithm. Finally, the sparse coefficients for the testing video feature sample are solved by the optimized method of SLSDDL and the classification result for video semantic is obtained by minimizing the error between the original and reconstructed samples. The experiment results show that the proposed SLSDDL significantly improves the performance of video semantic detection compared with the comparative state-of-the-art approaches. Moreover, the robustness to various diverse environments in video is also demonstrated, which proves the universality of the novel approach.
A Comparison of Mental Health and Personality Types among Normal Children and Without Fathers

Background: The purpose of this study was comparing the mental health and Personality type between 10 to 13 year-old children, who live with father and those who lost their fathers. Methods: For the purpose of this study, 300 female students (150 live with fathers and 150 lost their fathers) were recruited from all the Tehran students in academic year 1392-93 by available and Multi Stage clustering sampling method. This was a causal-comparative study. The data collection instrument was GHQ Scale and Personality type Scale. Pearson correlation, MannWhitney test and Chi – square were used to analyze data. Data was assessed with the SPSS 18 software. Results: Based on Mann-Whitney U test, there was no significant difference between mental health of children who live with fathers and those who lost their fathers ( P >0.05). As a result of Chi – square test, there is no relation between personality type and having or loosing father (P>0.05 ). Based on Pearson correlation test, There was no significant difference between mental health and personality type (p≥0.05).
Association of People Factors with Successful Enterprise Architecture Implementation

Many organizations are facing problem in Enterprise Architecture Implementation as it fails to meet expectations. While much has been written about the success factors related to EA framework, EA tools, and business-IT alignment process, there are few empirical investigations focusing on the people factors. Therefore, this paper aims to investigate the association of people factors with successful EA implementation by identifying seven people factors from the literature. A quantitative survey was conducted to assess the hypothesis that these seven people factors are associated with the successful EA implementation. The analysis reveals that only five factors are associated with the success of EA implementation, while two are not. Based on the result, this study highlighted that it is important to analyze the people factors in details rather than one whole factor because each of the people factors identified has their own uniqueness and success elements
Optimal Control of Multi-Item Inventory Model with Natural Deterioration Function

The paper provides an extension of the optimal control problem of two-item inventory model with deteriorating items. The total cost includes the sum of the holding costs of inventory, the holding costs of one item due to the presence of the other and the production costs and the profit out due to presence of two types of deterioration. The solution of optimal control problem of two-item model will be carried out using Pontrygin principle. The controlled system of non-linear differential equations will be solved numerically using four different types of demand rates and two types of the natural deterioration rate. This paper dealing with the deterioration rates as a functions of the inventory levels and the time.