Miracle-dz/UniFAR-FTUs huggingface dataset:
Design Requirements for Multilingual Hadith Corpus

This paper discusses the requirements of users who are willing to be familiarized with Hadith.The first set of questions aimed to personal information.The remaining eight questions about Hadith started by identifying why users reading Hadith also requested them to declare their opinion regarding finding Hadith explanation and word meaning in Arabic, moreover Finding moral for each Hadith, And Hadith explanation, word meaning, and moral in one website. Muslim finding Hadith in different languages, along with the source and classification of each Hadith respectively. Finally, the users had been requested to indicate their search methods preferences whether like to read Hadith from websites or from books.
Hunting dark matter gamma-ray lines with the Fermi LAT

Monochromatic photons could be produced in the annihilation or decay of dark matter particles. At high energies, the search for such line features in the cosmic gamma-ray spectrum is essentially background free because plausible astrophysical processes are not expected to produce such a signal. The observation of a gamma-ray line would hence be a ‘smoking-gun’ signature for dark matter, making the search for such signals particularly attractive. Among the different dark matter models predicting gamma-ray lines, the local supersymmetric extension of the standard model with small R-parity violation and gravitino LSP is of particular interest because it provides a framework where primordial nucleosynthesis, gravitino dark matter and thermal leptogenesis are naturally consistent. Using the two-years Fermi LAT data, we present a dedicated search for gamma-ray lines coming from dark matter annihilation or decay in the Galactic halo. Taking into account the full detector response, and using a binned profile likelihood method, we search for significant line features in the energy spectrum of the diffuse flux observed in different regions of the sky. No evidence for a line signal at the 5� level is found for photon energies between 1 and 300 GeV, and conservative bounds on dark matter decay rates and annihilation cross sections are presented. Implications for gravitino dark matter in presence of small R-parity violation are discussed, as well as the impact of our results on the prospect for seeing long-lived neutralinos or staus at the LHC.
Characterizing the Complex M odulus and Poisson ’ s Ratio of Asphalt Concrete Specimens through Modal Testing

The viscoelastic complex modulus and complex Poisson's ratio of asphalt concrete is fundamental to modern pavement design due to the time and temperature dependency of bitumi nous materials. Conventional cyclic loading to measure these material properties at strain levels of about 50 micro strains are expensive and complicated to perform. Low strain (~0.1 micro strains) stress wave measure ments are faster and simpler to perform and open up the possibility for future non-destructive field quality control of pavements. Th is nondestructive modal testing is performed by measuring frequency response functions of specim ens using an impact hammer and an accelerometer. A comparison between the two meth ds show that the modal test systematically give a slightly higher absolute value of the complex moduli compared to the conventional cyclic testing. However, the modal and cyclic testing resulted in similar values of the complex Poisson’s ratio despite the different applied strain levels.
THE ALIGNMENT OF BUSINESS AND INFORMATION TECHNOLOGY STRATEGY AT A PUBLIC SECTOR ORGANISATION IN SOUTH AFRICA

This study established the perceptions of senior managers and executives regarding the alignment of IT strategy and the business strategy in a public sector organisation. 140 questionnaires were distributed to senior management from all business units of the organisation and 56 completed questionnaires were received back (40% response rate). Descriptive, multiple regression and Chi square were performed. Results revealed that there is management involvement in the strategy formulation process, alignment of IT and business strategy is important in the organisation, the level of strategy formulation and alignment is good and alignment is achieving the desired results. All the constructs of process, people and organisational factors were found to be important; however only organisational factors were founds to be successfully implemented. Keywords— Information technology, IT Strategy, Business strategy, Strategic alignment
Unifying time evolution and optimization with matrix product states

We show that the time-dependent variational principle provides a unifying framework for time-evolution methods and optimization methods in the context of matrix product states. In particular, we introduce a new integration scheme for studying time evolution, which can cope with arbitrary Hamiltonians, including those with long-range interactions. Rather than a Suzuki-Trotter splitting of the Hamiltonian, which is the idea behind the adaptive time-dependent density matrix renormalization group method or time-evolving block decimation, our method is based on splitting the projector onto the matrix product state tangent space as it appears in the Dirac-Frenkel time-dependent variational principle. We discuss how the resulting algorithm resembles the density matrix renormalization group (DMRG) algorithm for finding ground states so closely that it can be implemented by changing just a few lines of code and it inherits the same stability and efficiency. In particular, our method is compatible with any Hamiltonian for which ground-state DMRG can be implemented efficiently. In fact, DMRG is obtained as a special case of our scheme for imaginary time evolution with infinite time step.
National Lightning Detection Network (NLDN) performance in southern Arizona, Texas, and Oklahoma in 2003–2004

[1] Four field campaigns were conducted in southern Arizona (AZ) and in northern Texas and southern Oklahoma (TX-OK) in 2003 and 2004 to evaluate the performance of the U.S. National Lightning Detection Network™ (NLDN) in detecting cloud-to-ground (CG) lightning after an upgrade in 2002 and 2003. The 2-year average flash detection efficiency (DE) in AZ was 93% (1024/1097), and the measured (first plus subsequent) stroke DE was 76% (2746/3620). The corresponding values in TX-OK were 92% (338/367) and 86% (755/882), respectively. After correcting for the time resolution of the video camera (16.7 ms), we estimate that the actual NLDN stroke DE and video multiplicities were about 68% and 3.71 in AZ and 77% and 2.80 in TX-OK. The average DE for negative first strokes (92%) was larger than the measured DE for subsequent strokes that produced a new ground contact (81%) and the DE for subsequent strokes that remained in a preexisting channel (67%). The primary cause of the NLDN missing strokes was that the peak of the radiated electromagnetic field was below the NLDN detection threshold. The average estimated peak current (Ip) of negative first strokes and the average multiplicity of negative flashes varied from storm to storm and between the two regions, but this variability did not affect the DE as long as the recording sessions had more than 60 flashes. By analyzing the NLDN locations of subsequent strokes that remained in the same channel as the first stroke we infer that the median random position error of the NLDN was 424 m in AZ and 282 m in TX-OK. An evaluation of the classification of lightning type by the NLDN (i.e., CG stroke versus cloud pulse) showed that 1.4–7% (6/420 to 6/86) of the positive NLDN reports with an Ip ≤ 10 kA in TX-OK were produced by CG strokes; 4.7–26% (5/106 to 5/19) of the positive reports with 10 kA < Ip ≤ 20 kA were CGs; and 67–95% (30/45 to 30/32) of the reports with Ip ≥ +20 kA were CG strokes. Some 50–87% (52/104 to 52/60) of the negative, single-stroke NLDN reports in AZ and TX-OK with ∣Ip∣ ≤ 10 kA were produced by CG flashes. Both the upper and lower bounds in these classification studies have observational biases.
Electoral Budget Cycles: The Case of the Argentine Provinces

This paper presents subnational evidence of electoraly-motivated changes in the level of public expenditures, budgetary deficits and composition of public expenditures in Argentina. The empirical study is made using a dynamic panel data analysis (GMM) for 22 provinces during period 1985-2001. We find evidence of political cycles in policies around the election date. Results shows that deficits and public expenditures increase in election years. Evidence also suggest that expenditures shift toward more visible public investment and away from current consumption goods.
The Economic Potential of Compounding Rabbit Diets with Graded Levels of Moringa oleifera Leaf Meal

The economics of raising rabbits using Moringa oleifera Leaf Meal (MoLM) supplemented diets was experimented in this study that lasted for 56 days. A total of twenty four, 2-3 months old weaned rabbits of mixed sexes with an average initial weight of 1.00kg – 1.18kg were randomly allocated to four diets which were formulated with Moringa oleifera leaf meal (MoLM) replacing soybean meal at 0% (control), 5%, 10% and 15% designated as T1, T2, T3 and T4 respectively. The animals were randomly distributed into 3 replicates comprising 2 rabbits per replicate using Completely Randmonised Block Design (CRBD). The results obtained show among many others that significant differences existed in weight gain, feed intake, feed conversion ratio, cost of feed (kg), cost of weight gain, production cost (TVC) and net benefit. It also reveals that MoLM can conveniently replace up to 15% of expensive sources of protein in rabbit diet without compromising performance and favouring production cost positively. Hence, rabbit farmers are encouraged to patronize the use of MoLM as feed source for their rabbits.
Performance Measure Properties and Delegation

In this paper, I extend the organizational design literature by examining how the delegation choice is affected by the ability to resolve the incentive problem caused by this delegation. Based on the seminal papers by Grossman and Hart (1986) and Holmstrom and Milgrom (1994), I argue that the ability to resolve the incentive problem depends on the contractibility of financial performance measures versus nonfinancial performance measures, where the contractibility depends on the performance measure properties sensitivity, precision, and verifiability. The empirical results show that, if financial performance measures are “good” (“poor”) incentive measures, i.e., high (low) on sensitivity, precision, and verifiability, then using these measures for incentive purposes increases (decreases) delegation. Overall, the results are consistent with the argument that firms design their decision‐making process around the quality of contractible performance measures.
Study of EM Wave Absorption and Shielding Characteristics for a Bonsai Tree for GSM-900 Band

Electromagnetic (EM) wave absorption characteristics for a Bonsai tree are investigated at GSM-900 band. Finite Difierence in Time Domain (FDTD) method is hybridized with Friis transmission equation to carry out all the required EM simulations. The tree has been modelled using CT scan based 3D dataset considering difierent electrical parameters. Maximum local electric (E) fleld, magnetic (H) fleld, Speciflc Absorption Rate (SAR) and Shielding Efiectiveness (SE) have been calculated for the tree placing at distance of 5m away from a radiating Base Station Antenna (BSA) with 20W input power. The maximum local E fleld, H fleld, 1-g SAR and SE obtained by the simulation are found to be 70.1V/m, 0.09A/m, 0.135W/kg and 13.18dB, respectively. Plants are found to be good natural electromagnetic radiation shield.
The Application of Predictor Feedback in Designing a Preview Controller for Discrete-Time Systems with Input Delay

This paper presents a method for designing a type one servomechanism for a discrete-time linear system with input delay subject to a previewable desired output and a nonmeasurable constant disturbance. The tracking problem of a delay system is transformed into a regulation problem of a delay-free system via constructing an augmented error system and a variable substitution. A controller is obtained with delay compensation and preview compensation based on preview control theory and the predictor method. When the state vector is not directly measurable, a full-dimensional observer is offered. The effectiveness of the design method is demonstrated by numerical simulations.
Analysis and Modelling of Surface Acoustic Wave Chemical Vapour Sensors

SAW devices are widely used in multitude of device concepts mainly in MEMS and communication electronics. As such, SAW based micro sensors, actuators and communication electronic devices are well known applications of SAW technology. For example, SAW based passive micro sensors are capable of measuring physical properties such as temperature, pressure, variation in chemical properties, and SAW based communication devices perform a range of signal processing functions, such as delay lines, filters, resonators, pulse compressors, and convolvers. In recent decades, SAW based low-powered actuators and microfluidic devices have significantly added a new dimension to SAW technology. This book consists of 20 exciting chapters composed by researchers and engineers active in the field of SAW technology, biomedical and other related engineering disciplines. The topics range from basic SAW theory, materials and phenomena to advanced applications such as sensors actuators, and communication systems. As such, in addition to theoretical analysis and numerical modelling such as Finite Element Modelling (FEM) and Finite Difference Methods (FDM) of SAW devices, SAW based actuators and micro motors, and SAW based micro sensors are some of the exciting applications presented in this book. This collection of up-to-date information and research outcomes on SAW technology will be of great interest, not only to all those working in SAW based technology, but also to many more who stand to benefit from an insight into the rich opportunities that this technology has to offer, especially to develop advanced, low-powered biomedical implants and passive communication devices.
What Constrains Indian Manufacturing?

India has undertaken extensive reforms in its manufacturing sector in the last two decades. However, an acceleration of growth in manufacturing, and a concomitant increase in employment, has eluded India. What might be holding the sector back? Using Annual Survey of Industries data at the three-digit level and difference in estimates this paper finds that the post-reform performance of the manufacturing sector is heterogeneous across industries. In particular, industries dependent on infrastructure or external finance, and labour-intensive industries have not been able to reap the maximum benefits of reforms. The results point to the importance of infrastructure development and financial sector development for the manufacturing sectorâ€™s growth to accelerate further. They also emphasize the need to clearly identify and address the factors inhibiting the growth of labour-intensive industries.
Analysis of 3’UTR of Prnp Gene in Mammals: Possible Role of Target Sequences of miRNA for TSE Sensitivity in Bovidae and Cervidae

Transmissible spongiform encephalopathies (TSEs) or prion diseases are neurodegenerative diseases with an inexorably fatal outcome. They affect both human and other mammals, and are especially frequently found in Bovidae and Cervidae families (Aguzzi & Sigurdson, 2004). In the first family, sheep and goats can spontaneously develop the prion disease or scrapie (Grenn et al., 2008), whereas cattle only develop a disease, known as Bovine Spongiform Encephalopathy (BSE), after a contact with the infectious prion protein (Ducrot et al., 2008). In the second family, the chronic wasting disease (CWD) has been described in mule deer and elk. Besides these two Ruminant families, TSE was also retrieved in Carnivora, as Felidae (feline spongiform encephalopathy) and Mustelidae (transmissible mink encephalopathy) (Miller et al., 2008; Sigurdson & Miller, 2003). All these diseases are characterized by the accumulation of PrPSc, the abnormally folded isoform of the cellular prion protein (PrPC) in the brain (Prusiner 1998; Norrby 2011).
Study of the equatorial Atlantic Ocean mixing layer using a one-dimensional turbulence model

The General Ocean Turbulence Model (GOTM) is applied to the diagnostic turbulence field of the mixing layer (ML) over the equatorial region of the Atlantic Ocean. Two situations were investigated: rainy and dry seasons, defined, respectively, by the presence of the intertropical convergence zone and by its northward displacement. Simulations were carried out using data from a PIRATA buoy located on the equator at 23o W to compute surface turbulent fluxes and from the NASA/GEWEX Surface Radiation Budget Project to close the surface radiation balance. A data assimilation scheme was used as a surrogate for the physical effects not present in the one-dimensional model. In the rainy season, results show that the ML is shallower due to the weaker surface stress and stronger stable stratification; the maximum ML depth reached during this season is around 15 m, with an averaged diurnal variation of 7 m depth. In the dry season, the stronger surface stress and the enhanced surface heat balance components enable higher mechanical production of turbulent kinetic energy and, at night, the buoyancy acts also enhancing turbulence in the first meters of depth, characterizing a deeper ML, reaching around 60 m and presenting an average diurnal variation of 30 m.
Gender differences in acceptance by students of training software for office tools

As learning method, distance learning (e-learning or e-training) became a current practice in several educational institutions. E-learning presents for learners numerous advantages: it facilitates access to the learning providing flexibility facing time and spatial constraints ; it improves understanding by using multimedia tools, so accelerating learning ; it personalizes learning according to preferences of each learner ; it allows a more precise and continuous individual supervision. However, elearning success depends widely on adoption of tools by learners, which depends on a certain number of contextual factors. Among the numerous researches on the adoption of the new information technologies, the Technology Acceptance Model is the one which was the most widely used. Both fundamental concepts of the TAM are, on the one hand, the perceived usefulness which translates the perceptions of the gains of performances to use the technology and, on the other hand, the perceived ease of use which translates the judgments of the efforts required to be able to use the technology. These two basic variables undergo the effect of external factors (individual, organizational and technological) and influence individual’s attitude and intention towards IT. The objective of this research is to study the students’ adoption of an e-learning system. The research model is an adaptation of the Technology Acceptance Model 3 in the context of the study (learning environment). The research has resulted in a questionnaire distributed to 404 students in first year of a business school. Structural equation modeling is used as the main technique for data analysis. Overall, this study shows that the TAM has the predictive ability to explain the use of an e-learning system by students. In addition, the results show that there are some differences among female and male. Contact Information of Corresponding author: vlefievre@audencia.com ATINER CONFERENCE PAPER SERIES No: EDU2012-0138
Machine learning the kinematics of spherical particles in fluid flows

Numerous efforts have been devoted to the derivation of equations describing the kinematics of finite-size spherical particles in arbitrary fluid flows. These approaches rely on asymptotic arguments to obtain a description of the particle motion in terms of a slow manifold. Here we present a novel approach that results in kinematic models with unprecedented accuracy compared with traditional methods. We apply a recently developed machine learning framework that relies on (i) an imperfect model, obtained through analytical arguments, and (ii) a long short-term memory recurrent neural network. The latter learns the mismatch between the analytical model and the exact velocity of the finite-size particle as a function of the fluid velocity that the particle has encountered along its trajectory. We show that training the model for one flow is sufficient to generate accurate predictions for any other arbitrary flow field. In particular, using as an exact model for trajectories of spherical particles, the Maxey–Riley equation, we first train the proposed machine learning framework using trajectories from a cellular flow. We are then able to accurately reproduce the trajectories of particles having the same inertial parameters for completely different fluid flows: the von Kármán vortex street as well as a two-dimensional turbulent fluid flow. For the second example we also demonstrate that the machine learned kinematic model successfully captures the spectrum of the particle velocity, as well as the extreme event statistics. The proposed scheme paves the way for machine learning kinematic models for bubbles and aerosols using high-fidelity DNS simulations and experiments.
Using log-linear models in mark recapture experiments : Some recent developments

In a mark recapture experiment the data consists of the frequencies nω of the 2 t − 1 possible capture histories ω = (ω1, . . . , ωt) where ωj = 1 if an animal is caught on the jth capture occasion and 0 if not. When setting up a log-linear model for the predicted value μω of nω, it is convenient to use a parametrization for which the intercept γ is the logarithm of the predicted frequency for the units that were not captured in the experiment. Heterogeneity is caused by capture probabilities that vary between animals. This is often modeled with an unobserved mixing variable. The predicted frequencies μω obtained by integrating out the mixing variable have, at least approximately, a log-linear form. A log-linear model for Mth is then