Miracle-dz/UniFAR-FTUs huggingface dataset:
Effective Cultural and Economic Indicators on Business Communications Growth (With an Emphasis on Iran)

Today, society became an international trade lifeline. The study of this science has become a necessity to understand the cultural differences in intercultural communication. Although it increasingly crossed the borders and business barriers had been denied, but cultural boundaries do not sidestep easily and unlike legal, political, or economic, business environment tangible aspects, culture is largely invisible. Hence, an aspect of international trade is often overlooked. For economic growth and development inside and outside the borders, attentions should be paid to the cultural aspects of our society and other societies. The purpose of this study was to evaluate the effect of cultural dimensions on growth of economic indicators. This study is a practical in terms nature and purpose, and is descriptive, and library study in terms of data collection. In order to data collection, questionnaire and financial information of financial institutions were used (information of economic indicators of Asian Development Bank and the Central Bank of the Islamic Republic of Iran). Validity and reliability of the questionnaire were evaluated through Cronbach's alpha and exploratory and confirmatory factor analyses were done. The population in this study was the country's capital market participants. Sampling was done through probabilistic sampling strategy and simple random sampling method was used and 92 persons were estimated through the Morgan table. Structural equation modeling was used, to test the hypotheses. The results of this study showed that, there is a positive relationship between cultural dimensions and growth of economic indicators. Keywords: cultural dimensions, communication, globalization, economic indicators
On the performance of a 2D unstructured computational rheology code on a GPU

The present work explores the massively parallel capabilities of the most advanced architecture of graphics processing units (GPUs) code named “Fermi”, on a two-dimensional unstructured cell-centred finite volume code. We use the SIMPLE algorithm to solve the continuity and momentum equations that was fully ported to the GPU. The benefits of this implementation are compared with a serial implementation that traditionally runs on the central processing unit (CPU). The developed codes were assessed with the bench-mark problems of Poiseuille flow, for Newtonian and generalized Newtonian fluids, as well as by the lid-driven cavity and the sudden expansion flows for Newtonian fluids. The parallel (GPU) code accelerated the resolution of those three problems by factors of 19, 10 and 11, respectively, in comparison with the corresponding CPU single core counterpart. The results are a clear indication that GPUs are and will be useful in the field of computational fluid dynamics (CFD) for rheologically simple and complex fluids.
A dynamic segmentation based activity discovery through topic modelling

Recent developments in ubiquitous and pervasive technologies have made it easier to capture activities through sensors. The “bag-of-word” topic models have been applied to discover latent topics in corpus of words. In this paper, we propose the Probabilistic Latent Semantic Analysis to discover activity routines. The framework we propose set latent topics as corresponding class labels and use the Expectation Maximization (EM) algorithm for posterior inference. The experimental results we present are based on the Kasteren dataset which validates our framework and shows that it is comparable to existing activity discovery approaches.
Estimation and Verification of Daily Surface Shortwave Flux over China

Downward shortwave flux at the surface over China was derived from sunshine duration data using parameters of Jordan sunshine recorders. The sunshine duration data were obtained as routine meteorological data and ad- justed as necessary for the eects of topography, station surroundings, altitude, and atmospheric turbidity. Calculated flux was verified by in situ observations. Daily flux was calculated at more than 190 stations in China, Climatic maps (statistical period: 1971-2000) of surface solar radiation were produced and have been made public. The sunshine duration-based shortwave flux was used to check satellite observation-based datasets. Two ver- sions of satellite-based surface radiation budget datasets (SRB 2.0 and SRB 3.0) from NASA's Langley Research Center were investigated. Compared with the SRB 2.0 dataset, the SRB 3.0 dataset showed improved shortwave flux, especially over western China and the Tibetan Plateau.
The content of nitrogen compounds in the Wel river in the light of the Nitrates Directive

In this paper, the results of the research are presented on the content and transformation of nitrogen compounds in the Wel River (the largest tributary of the Drweca River). The catchment area of the studied river is predominantly agriculturally developed. Along the river course, 6 sample collection sites were selected, situated in places with different land development of the drainage basin. The average concentration of total nitrogen in the water of the Wel River amounted to 1.807 mg/dm 3 , mineral nitrogen - 0.557 mg/dm 3 and organic nitrogen - 1.250 mg/dm 3 . The organic form of nitrogen dominated at all sites (the average content for the whole river amounted to 69%). Nitrate nitrogen dominated in the pool of mineral nitrogen. The lowest concentrations of nitrates were being recorded at lakeland sites, whereas the highest - at two terminal sites situated within the lower reaches of the river, where the drainage basin has a typically agricultural character.
A new gene involved in coenzyme Q biosynthesis in Escherichia coli: UbiI functions in aerobic C5-hydroxylation

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. A new gene involved in coenzyme Q biosynthesis in Escherichia coli: UbiI functions in aerobic C5-hydroxylation Mahmoud Hajj Chehade, Laurent Loiseau, Murielle Lombard, Ludovic Pecqueur, Alexandre Ismail, Myriam Smadja, Béatrice Golinelli-Pimpaneau, Caroline Mellot-Draznieks, Olivier Hamelin, Laurent Aussel, et al.
Initial reference models in local earthquake tomography

The inverse problem of three-dimensional (3-D) local earthquake tomography is formulated as a linear approximation to a nonlinear function. Thus the solutions obtained and the reliability estimates depend on the initial reference model. Inappropriate models may result in artifacts of significant amplitude. Here, we advocate the application of the same inversion formalism to determine hypocenters and one-dimensional (1-D) velocity model parameters, including station corrections, as the first step in the 3-D modeling process. We call the resulting velocity model the minimum 1-D model. For test purposes, a synthetic data set based on the velocity structure of the San Andreas fault zone in central California was constructed. Two sets of 3-D tomographic P velocity results were calculated with identical travel time data and identical inversion parameters. One used an initial 1-D model selected from a priori knowledge of average crustal velocities, and the other used the minimum 1-D model. Where the data well resolve the structure, the 3-D image obtained with the minimum 1-D model is much closer to the true model than the one obtained with the a priori reference model. In zones of poor resolution, there are fewer artifacts in the 3-D image based on the minimum 1-D model. Although major characteristics of the 3-D velocity structure are present in both images, proper interpretation of the results obtained with the a priori 1-D model is seriously compromised by artifacts that distort the image and that go undetected by either resolution or covariance diagnostics.
Fluctuations and persistence in poverty: a transient-chronic decomposition model for pseudo-panel data

Although many studies addressed poverty issues, very few of then did analyze the transient or persistent nature of this phenomenon. Encouraged by this lack of dynamic poverty analyses, the objective of this paper is to evaluate which features determine the relative position and the dynamics of the destitution state of the individual. Due to the scarcity of panel surveys in Brazil, it was used a pseudo-panel obtained from the Pesquisa Nacional por Amostra de Domicilios (PNAD/IBGE) database in this study. With these data, the state permanence and the state transience probabilities were estimated in a Markov matrix with the application of a bivariate probit model with endogenous switching for grouped data. It was chosen as the welfare indicator the per capita household income, which was analyzed in relation to a relative poverty line. Moreover, in order to verify the sensibility of the parameters estimated in the econometric analysis, distinct poverty lines were used and also different assumptions of household scale economies and of intrahousehold relative costs were made. The transient-chronic analysis is based on the distinction between stationary and transient components of intertemporal propensity to poverty. The results enabled to identify which groups in the population were especially sensitive to the chronic and to the transient types of poverty.
Double-Side Electromagnetic Band Gap Structure for Improving Dual-Band MIMO Antenna Performance

A double-side EBG structure with equivalent circuit model is proposed in this paper. Making H shape on surface and H with bridge shape on ground, the novel EBG that is built on FR4 substrate with height of 1.6mm, gets compact size of 8.6x8. 6 mm 2 at 2.6 GHz resonant frequency. Using 1x7 EBG structures for dual-band MIMO system, several performance parameters of antenna are improved. Firstly, the mutual coupling between antenna elements gets -40dB in the lower band and -30dB in the higher one with narrow distance of 0.11l from feeding point to feeding point. Then, at 2.6GHz, the antenna gain is increased significant by 160% as well as radiation efficiency of antenna is better. This improvement is unable to get in previous EBG studies
Query Question Similarity for Community Question Answering System Based on Recurrent Encoder Decoder

The measurement of sentence similarity is a fundamental task in natural language processing. Traditionally, it is measured either from word-level or sentence-level (such as paraphrasing), which requires many lexical and syntactic resources. In order to solve the problem of lacking labelled data and Chinese language resources, we propose a novel sentence similarity framework based on a recurrent neural network (RNN) Encoder-Decoder architecture. This RNN is pre-trained with a large set of question-question pairs, which is weakly labelled automatically and heuristically. Though less accurate, the pre-training greatly improve the performance of the model, also better than other traditional methods. Our proposed model is capable of both classification and candidate ranking. In addition, we release our evaluation dataset – a finely annotated question similarity dataset, which will be the first public dataset under this purpose in Chinese to the best of our knowledge.
Esterase activity of dairy Propionibacterium

Summary - This paper reports results on the esterolytic activity of dairy Propionibacterium. Ali the species present an active esterolytic system on naphthyl substrates for fatty acids which contain < 10 carbons. Setween 1 to 4 activities of different specificities were revealed on non-denaturing polyacrylamide gel electrophoresis for each species. These activity patterns could be very useful in differentiating between a few Propionibacterium species. lon-exchange chromatography allowed 3 main esterase activities to be separated on a concentrated intracellular extract of P freudenreichii subsp freudenreichii. These activities have very different substrate specificities which agree closely with those determined by electrophoresis.
Theatrically Digital: Education and Online Identity

The dramaturgical aspects of using social media are applied in this study from a sociological perspective (Goffman, 1959) to describe the process of gaining a sense of self through learning in online-environments. The exploration of data in this qualitative case study sheds light on the theatrical dimension of virtual self-presentation which can encourage individuals to become engaged in interacting online and, in the process of doing so, learn actively though using social media via its unique audio-visual digital content. Social media tools provide a space for information sharing to fill the gaps when students are unwilling to communicate in face-to-face classrooms because of a particular socio-cultural context. The codes and themes from six months’ Facebook analysis of adult social media users were analysed based on the selfrepresentation of the digital self with relation to their language and cultural background and its influence on the formation of identity. The ‘actual self’, as described in interviews, was being manipulated by individuals for different reasons such as its influence on their social/cultural identity and the development of the self-image. Increasingly, educators in all educational domains are using online social media platforms to support engagement in teaching and learning. It is hoped that this research, by offering increased understanding of the importance of online-communities, will have implications for learning from online contexts, particularly in contexts with socio-cultural boundaries.
The Sources of Financial Crisis: Pre- and Post-Fed Evidence

This paper investigates the generation and the propagation mechanism of currency demand and supply shocks before and after World War I, the structural determinants of the variability of stock prices and interest rates, and the changes introduced by the creation of the Fed on the dynamics of the system. It is shown that in the pre-1914 era external monetary shocks interacted with a seasonal demand for money to produce financial crises. The Fed helped to prevent crises by insulating the U.S. economy from external shocks. A structural vector autoregressive model provides evidence for these claims. Copyright 1991 by Economics Department of the University of Pennsylvania and the Osaka University Institute of Social and Economic Research Association.
The Effect of Gallic Acid on Histopathologic Evaluation of Cerebellum in Valproic Acid-Induced Autism Animal Models

Autism spectrum disorder (ASD) is counted as a worldwide public health problem. The possible causes of ASD are reactive oxygen species and free radicals. So, this study is aimed to evaluate the effects of Gallic acid, as an effective antioxidant, on histopathologic disorder of the cerebellum in valproic acid-induced autism animal models. 30 pregnant female rats were randomly divided into 5 groups, including: control, autism (or VAP) and experimental 1, 2 and 3. Using a gavage needle, Gallic acid administered orally until about2 months of age. After the end of the treatment period, the rats were anesthetized with ether and their cerebellar tissues were removed for histopathologic studies. A significant decrease in the number of Purkinje and granular cells was observed in this study in VAP group compared to the control group (P≤0.05). A trend toward improvement was observed in the groups received 100 and 200 mg/kg of Gallic acid (P≤0.05). The results of this research revealed that Gallic acid reduces the side effects caused by valproic acid on cerebellar tissue of autistic rats. So, it should be considered for therapeutic goals.
Evolutionary Diffusion Theory

Improved understanding of issues affecting uptake of innovative technology is important for the further development of e-business and its integration into mainstream business activities. An explanatory theory that can provide a more effective instrument for determining acceptance levels should therefore be of interest to IS practitioners and researchers alike. The authors aimed to establish whether evolutionary diffusion theory (EDT) could offer such an instrument, developing a set of axioms derived from the EDT literature and applying these to an in-depth review of two e-business implementations: a G2B document delivery system introduced by the Australian Quarantine Inspection Service (AQIS) across a number of industry sectors; and an enterprise-wide system implementation in a local government instrumentality. The authors found EDT offered remarkable explanatory depth, applicable not only to analysing uptake of complex, multi-user technologies in organisational settings but to any e-business investigation requiring a system-wide perspective.
Realization of SVPWM Arithmetic Simulation Based on MATLAB

The simulation technique is a method for experimental study by computer based on the mathematical model, is a very effective tool for the analysis of complex systems. In a sense, numerical simulation can be comparable with the real system as long as constructing of a sufficiently accurate mathematical model. In the general computer simulation software of control system, Math Works's MATLAB SIMULINK is a very excellent simulation software. Only draw the control system diagram of required analysis and design on the graphics window, the model system can be linearized and simulated by the software itself.
Research on Collision Detection in 3D Games

This paper first introduces the basic principle of collision detection and collision of several commonly used detection method, and make comparison of them, and point out the advantages and disadvantages, finally put forward a fast collision detection algorithm based on optimal bounding sphere, and on this basis, the realization of a simple application of collision detection technology is an instance of Demo.
Can experienced runners accurately estimate performance capabilities to derive the parameters of the critical velocity model

This study examined the accuracy of estimated performance times to define the parameters of the critical velocity (CV) model. Twelve subjects provided an estimated time to complete (ETcom) maximal-effort runs at four different distances (400m, 800m, 1600m, and 3200m). The CV and anaerobic running capacity (ARC) were derived from the total distance (TD) versus ETcom relationship. The equation: predicted time to completion ([PTcom] = ARC/(velocity CV)) was used to determine the PTcom for runs at three different distances (200m, 600m, and 1000m). The PTcom was validated against the actual time to complete (ATcom) runs at the same three distances. The TD versus ETcom relationship was highly linear and indicated a close relationship between running distance and time. The PTcom overestimated the ATcom at 200m, but there were no significant differences between the PTcom and ATcom at 600m and 1000m. There were, however, no significant relationships between PTcom and ATcom at any of the three distances. These findings indicated that the CV model could be applied to estimated running times to derive the CV and ARC parameters, but the parameters of the test could not be used to accurately estimate individual performance times above CV using the equation PTcom = ARC / (V – CV).
POTASSIUM SULFIDES IN KIMBERLITE-HOSTED CHLORIDE–“NYEREREITE” AND CHLORIDE CLASTS OF UDACHNAYA-EAST PIPE, YAKUTIA, RUSSIA

Chloride-bearing clasts from the Udachnaya-East pipe kimberlites, Yakutia, Russia, contain abundant to accessory rasvumite, KFe2S3, and djerfisherite, K6Na0-1(Fe,Ni,Cu)(24)S26Cl, which have been previously described in the groundmass of the host kimberlite. Rasvumite occurs in chloride-"nyerereite" and carbonate clasts, where it forms prismatic crystals (up to 5 mm) or is associated with djerfisherite in a rim around pyrrhotite. Djerfisherite is the omnipresent sulfide in all types of chloride-containing clasts, in which it rims pyrrhotite and forms individual xenomorphic to subhedral grains and, more rarely, octahedral crystals at the contact with host kimberlite. In chloride clasts and the host kimberlites, the following sequence of crystallization was found: pyrrhotite - rasvumite - djerfisherite, reflecting an increase in the activity of Cl in the evolved melt. The composition of rasvumite from the Udachnaya-East pipe is close to ideal KFe2S3, with low abundances of Rb, Cs and Na (< 0.9, < 0.2 and <0.15 wt.%, respectively). Analyses of the rasvumite by the LA-ICP-MS technique indicates the presence of T1 (95-480), Ba (110-215), Pb (25-190), Te (up to 60), Se (20-135) and Co (25-100 ppm). These data also indicate compositional differences between unaltered rasvumite and its oxidized rim; the levels of Na, Mg, V, Mn, Ni, As, Sr, Sb and W increase by an order of magnitude. Unlike djerfisherite in the kimberlite groundmass, that in the chloride clasts is generally characterized by higher amounts of Fe and lower amounts of Cu, with low contents of Rb (< 2000 ppm), Cs (< 100 ppm), and Tl (< 330 ppm). Sulfides of potassium in chloride-bearing clasts are considered to be primary phases crystallized from an evolved kimberlitic melt.
Real-Time Pose Based Human Detection and Re-Identification with a Single Camera for Robot Person Following

Title of thesis: REAL-TIME POSE BASED HUMAN DETECTION AND RE-IDENTIFICATION WITH A SINGLE CAMERA FOR ROBOT PERSON FOLLOWING John Bradford Welsh, Master of Science, 2017 Thesis directed by: Professor Gilmer Blankenship Department of Electrical Engineering In this work we address the challenge of following a person with a mobile robot, with a focus on the image processing aspect. We overview different historical approaches for person following and outline the advantages and disadvantages of each. We then show that recent convolutional neural networks trained for human pose detection are suitable for person detection as it relates to the robot following problem. We extend one such pose detection network to spatially embed the identity of individuals in the image, utilizing the pose features already computed. The proposed identity embedding allows the system to robustly track individuals in consecutive frames even in long term occlusion or absence. The final system provides a robust person tracking scheme which is suitable for person following. REAL-TIME POSE BASED HUMAN DETECTION AND RE-IDENTIFICATION WITH A SINGLE CAMERA FOR ROBOT PERSON FOLLOWING
IN-SITU PERFORMANCE OF CHILLED CEILINGS IN STRATIFIED ENVIRONMENTS

In this study, the thermal comfort, air change effectiveness, and stratification profiles are characterized for an in-situ test. A private office was built in order to analyze the effects of the load split between the chilled ceiling and displacement ventilation systems on the stratification and thermal comfort. Tests included varying the ceiling temperature, room load, and load placement. Results from six load configurations are compared to the literature and offer field observations of the trends shown in lab studies. The study indicates that the use of Chilled Ceilings with stratified air supply systems can lead to comfortable room conditions with good air quality as described in the literature.