Miracle-dz/UniFAR-FTUs huggingface dataset:
MODELING AND ANALYSIS OF GLOBALIZING MANUFACTURING SME S IN DEVELOPING ECONOMIES

The work undertaken in the dissertation is of pioneering nature integrating world databases to accrue knowledge about economies and enterprises around the globe.It is an endeavor to demonstrate the adequacy of applying data mining techniques in global databases concealing heaps of knowledge about enterprises engaged in manufacturing and exporting in the global context.A cohesive and coherent exploration of databases from repositories of World Bank, GEM, WEF and IFC’s Enterprise Survey elucidates the patterns of internationalization of enterprises through manufacturing exports in developed and developing economies. We have followed inductive reasoning methodology using symbiosis of statistical modeling and data mining coupled with extensive data visualizations.The exploratory research has asserted the fitness of manufacturing exports as the core engine for economic health of a country.Both Kruskal-Wallis and Chi-square tests affirm that manufacturing export share level is not independent of economy type and, developed economy block shares 77% of world manufacturing exports matching to their share in world GDP.Manufacturing exports per capita for world five economies ranks them exactly analogous to their income-group ranks.The predictive MLR modeling reveals a positive relationship between GDP and manufacturing exports for LMC and UMC economies.LMC economy countries have the prospects of 14% increase in GDP share by unit increase in manufacturing export share.The findings from the global databases regarding economies and enterprises in these economies are in unison.The enterprises of the developing economies (LIC, LMC and UMC) have more inclination towards manufacturing than economies and enterprises of developed (NOC, OEC) block. However, the enterprises of developed economy block lead by a significant margin in terms of exporting and manufacturing exports.The enterprises of LIC economy block portrays an exorbitant despondency in all spheres of activities ranging from manufacturing to exporting with pathetic state of entrepreneurial climate culminating in extreme level of poverty.Enterprises in Pakistan portray a posture identical to other countries of LMC economy.K-means and HCA clustering identify LFE (Large, Foreign and Exporter) enterprises in Pakistan to form one group and align their practices benefiting from information and communication technologies (ICT) to boost and spearhead the internationalization through exports. Both statistical and data mining methodologies work in unison to identify characteristics of a Pakistani SME to be exportable.Registration with original equipment manufacturer (OEM) is a significant key determinant for an enterprise to acquire the exporting status.
RoI Pooling Based Fast Multi-Domain Convolutional Neural Networks for Visual Tracking

—This paper proposes a fast multi-domain convolutional neural networks method (Fast MDNet) for visual tracking. Fast MDNet builds on fast region-based convolutional neural networks (Fast R-CNN) and MDNet to efficiently track arbitrary objects using deep convolutional networks. We introduce a RoI pooling layer which shares full-image convolutional features, thus significantly speed up MDNet. Compared to previous works, Fast MDNet’s online tracking rate is 15x faster than MDNet, and it performs favorably against the state-of-the-art methods on large benchmark datasets.
Distress Without Bankruptcy: An Emerging Market Perspective

China is representative of many emerging markets in that its bankruptcy law and enforcement is weak and institutional background remains under-developed. Taking advantage of the country`s regional variations in government quality and financial development, we are interested in understanding what mechanisms influence distressed firm behavior in emerging markets.We find that institutional background matters considerably. Distressed firms facing relatively weak institutional background (i.e. state-owned firms, firms from areas with poorer government quality and/or more backward financial development) display poorer operating performance, more aggressive capital structure and investment policy, and ultimately lower recovery likelihood. The results are robust for both state-owned firms and private firms, and hold in a host of robustness tests.Our findings provide novel evidence on how augmenting institutional factors discipline distressed firm behavior in an emerging market environment where bankruptcy law enforcement and creditor monitoring are weak.
Efficient identity-based proxy signcryption

Recently,Wang et al.proposed a identity-based proxy signcryption scheme with forward security and public verifiability.By analyzing,it is showed that the above scheme exists some obvious errors and so it is infeasible.In this paper,based on short signature,a new efficient identity-based proxy signcryption scheme with forward security and public verifiability is proposed.It is showed that the proposed scheme’s efficiency is better than that of some existing ones under the condition of keeping the all kinds of security characteristics of proxy signcryption,so it is more propitious to applications in society.
Simulation and measurement of spatial resolution in detection of annihilation radiation with BGO crystals

Spatial resolution performance measurements of PET scanners are sensitive to the long tails of the angular distribution of the annihilation radiation, to a degree not previously appreciated. The non-Gaussian nature of the positron range, angular distribution of annihilation radiation, and scatter-induced spatial distribution of scintillator energy deposition prevents simple (e.g. quadrature-based arguments) methods of performance estimation, and requires full numerical convolution of the 3D spatial profiles. The authors have developed a Monte Carlo simulation of 511 keV gamma ray interactions with scintillator crystals to model the spatial distributions obtained in projection measurements of annihilation radiation from point sources. The authors find good agreement between the simulations and experimental results obtained with BGO-based crystals, both for optically-isolated crystals embedded in a crystal matrix, and for a conventional, Anger-based BGO block detector. There is approximately a 0.3 mm difference in the coincidence response function FWHM between 4 mm isolated and Anger crystals which is reproduced by the Monte Carlo calculations. <<ETX>>
Memory Efficient Algorithm and Architecture for Multi-Pattern Matching

Pattern matching is the main part of content inspection based network security systems,and it is widely used in many other applications.In practice,pattern matching methods for large scale sets with stable performance are in great demand,especially the architecture for online real-time processing.This paper presents a memory efficient pattern matching algorithm and architecture for a large scale set.This paper first proposes cached deterministic finite automata,namely CDFA,in the view of basic theory.By classifying transitions in pattern DFA,a new algorithm,ACC,based on CDFA is addressed.This algorithm can dynamically generate cross transitions and save most of memory resources,so that it can support large scale pattern set.Further,an architecture based on this method is proposed.Experiments on real pattern sets show that the number of transition rules can be reduced 80%~95% than the current most optimized algorithms.At the same time,it can save 40.7% memory space,nearly 2 times memory efficiency.The corresponding architecture in single chip can achieve about 11Gbps matching performance.
Gamifying Quantified Self Approaches for Learning: an Experiment with the Live Interest Meter

In this paper, we present our research on the impact of gamification – ‘the use of game design elements in non-game contexts’ – to increase the motivation of students to use PLEs (Personal Learning Environments). To examine this, we conducted an experiment with the Live-Interest-Meter (LIM), a Quantified Self (QS) application to improve the learning experience during and after lectures. The results showed that perceived fun has a positive effect on the motivation to use the LIM and the motivation to use it is with gamification significantly higher than without. Therefore, gamification seems to be an appropriate enabler to engage people in using QS approaches as PLEs for improving their learning experiences.
Optimal Generation Coordination of Hydrothermal System

This paper presents the use of an enhanced version of conventional cuckoo search algorithm (ECSA) for solving optimal generation coordination of hydrothermal system where the objective is to minimize both fuel cost and emission, and the hydro model is represented as a quadratic function of water discharge with respect to generation. The ECSA method is built for the optimal operation based on several modifications on conventional Cuckoo search algorithm (CSA). In the ECSA method, by evaluating the fitness of all initial eggs they are divided into two parts including the high quality one with lower fitness value and bad quality one with higher fitness value. The ECSA is tested on several systems and obtained results from the ECSA are compared those from other methods. The comparison reveals that the ECSA is so efficient for the considered problem.
Node Selection Algorithm for Routing Protocols in VANET

VANET stands for vehicular ad-hoc network. Vehicles attached to one another viva a temporary data type an instant system named “VANET”. VANET is a technology which is used to getting the information and transmitting the information between the moving vehicles on the road. And the devices are installed on the vehicles like GPS and road transmitter which gives the signal. It incorporates a vehicle to vehicle transmission as well as vehicle to Road side transmission and is important component of ITS (Information transportation system). Node Selection Algorithm purpose to choose next-hop vehicle to help keep in touch with, through utilize “bridging approach” with information forwarding i.e., to select the vehicle from the east (west) to west(east). Quality of services assures is much more challengeable and difficulties MANET than traditional wired network. It is mainly used for hop to hop communication, channel access contention. VANET is to provide safety for passenger and drivers on the road.
Comparing Topic Model Stability across Language and Size

The rapid evolution of technology has freed the written word from the physical page. In the current era, it can be argued that the primary means of access to text is digitally mediated. This has given unprecedented reach to any individual with access to the Internet. However, the rate at which a human can absorb such information remains relatively unchanged, in particular in the case of linguistically and/or culturally complex data. Results in computer science continue to advance in areas of linguistic analysis and natural language processing, facilitating more complex numerical inquiries of language. This commoditisation of analytical tools has led to widespread experimentation with digital tools within the humanities: recent initiatives such as DARIAH 1 , CENDARI 2 or TIC-Belgium 3 try to foster the use of computational methods and the reuse of digital data by and between researchers and practitioners alike. A key question emerges: to what extent do these digital tools reveal signal, and to what extent are they merely responding to noise? This is a question of particular import to humanities researchers, for whom the difference between signal and noise may shift from project to project and from interpreter to interpreter, not to mention from linguistic context to linguistic context. Scholars currently must resort to a vehicular language (in Europe and North America, generally English) in order to ﬁnd patterns between cultural and linguistic contexts. This approach is not wholly satisfying, however, where the sensitivities surrounding the object of
Dynamic Postural Adjustments in Stance in Response to Translational Perturbation in Presence of Visual and Somatosensory Disturbance

Despite many reports on the role of the sensory system in postural control, only a few studies have reported the relationship between sensory disturbance and dynamic postural control. To investigate capabilities for dynamic postural adjustment, this study quantitatively evaluated the response to translational perturbation. Perturbation was experimentally induced in eight subjects (all male, 21.3 ± 1.4 years old) using a platform movable in four directions (forward, backward, right, and left). The response was measured in terms of the center of pressure (COP) using posturography, and electromyography of the trunk and lower extremities, and joint angle using video analysis. The effect of sensory disturbance was examined when wearing translucent goggles and when standing on a soft mat. A significant difference was found in the displacement of COP between the cases with and without sensory disturbance. With disturbance, the medio-lateral and anterior-posterior components of the displacement increased in the posterior and lateral translations, respectively. In addition, postural response against forward translation was not affected by sensory disturbance compared with backward and medio-lateral translation. The results of these analyses provide information useful for the development of balance rehabilitation using translational perturbation.
Is Lexical Access Mediated by the Syllabic and/or CV Structure of Words? Exploring Transposed-Letter Priming Effects

Aciocnrdg to a rcaerheesr at Cmargbdie Uiistenvry, it deos not meattr in waht oerdr the leterts in awrod are; the olny inmaptort tinhg is taht the frsit and lsat lteter be in the rghit pclae. This observation,circulated in a popular email circa 2003, underlines the freedom that is afforded to letter position in visualword recognition. Although it can be argued that other components of the language processor aid in thistype of example, i.e. syntax and semantics, there is clearly a range of freedom for the orthographic systemthat is curiously large when considering the fact that the lexical processor must also be precise enough todistinguish between the positions of ‘s’ and ‘u’ in the words casual and causal. How the lexical accesssystem is organized such that it can be ﬂexible enough to make the correct lexical retrieval for FIRST whengiven frsit and precise enough, when given casual, to recall CASUAL to the exclusion of causal is currently agrowing topic of debate.The lexical phenomenon pointed out in the Cambridge email is known in the literature as Letter Trans-position Similarity Effects. One of the most robust characteristics of the phenomenon, and highlighted inthis email, is the observation that a non-word prime in which the inner-letters have been transposed, such asrghit is much more similar to the target RIGHT than a non-word in which the ﬁrst and last letter have beentransposed, such as tighr (Perea and Lupker, 2003; Peressotti and Grainger, 1999). However current research probing these effects suggest that letter-position is even more unconstrained.Schoonabaert and Grainger (2004) show that letter-deletion also primes consistently, in pairs such as mircle-MIRACLE, despite the fact that the deletion of the vowel ‘a’ changes word-length and removes lexical input.In addition, Perea and Lupker (2004) point to evidence suggesting that non-adjacent transpositions showstrong priming effects as well, caniso-CASINO.This evidence may in fact give the impression that letter-transposition effects show that lexical processingis not positionally constrained at all. However, research also shows that there are limits to the ability of thelexical system to freely encode letter position. As pointed out earlier, the word periphery positions appearto be ‘special’ in visual word recognition. Hence the non-word nositiop does not prime POSITION, (Jordanet al., 2003). Perea and Lupker (2003) provide evidence showing that transpositions are sensitive to word-ﬁnal transpositions, *judeg-JUDGE.
Application of the “Brand-Choice Sequences” Theory to measure Brand Loyalty to Beer Brands in Nigeria

This paper focused on the lacuna that may be extant in the non-application of brand loyalty theories to study consumers’ loyalty to beer in parts of Nigeria. The study operationalized a behavioral construct of brand loyalty theory, the ‘brand-choice sequences’ theory, to measure consumers’ loyalty to five brands of beer, namely, Harp, Star, Heineken, Gulder, Hero, and Guinness Stout in Awka, Anambra State, Nigeria. Using the survey method, a convenience sample of 200 beer consumers in selected socioeconomic and demographic segments was used for the study. Data from the survey were computer-analyzed using t-tests and ANOVA models. The results from the study indicated that, generally, significant undivided loyalty does not exist among the beer consumers and across the beer brands in the study. There are, however, significant variations in brand loyalties across the socioeconomic and demographic segments. The study recommends that for academics and pedagogy in brand loyalty, future empirical studies on brand loyalty should consider, conjointly, attitudinal and behavioral approaches to measure brand loyalty, in order to further test the efficacy and convergence of behavioral and attitudinal theories on brand loyalty. The study further recommends that marketing practitioners will need innovative promotional strategies, targeted at consumer segments, to cultivate undivided brand loyalty towards beer brands. Normal 0 false false false EN-US X-NONE AR-SA /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:. 0001pt; text-align:justify; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin;}
The Impact of Organizational Citizenship Behavior on Evaluations of Salesperson Performance

The research objective was to examine the relative impact of “organizational citizenship behaviors” (OCBs) and objective sales productivity on sales managers’ evaluations of the performance of their sales personnel. Objective measures of sales productivity were obtained for three diverse sales samples: (1) 261 multiline insurance agents, (2) 204 petrochemical sales representatives, and (3) 108 district sales managers working for a large pharmaceutical company. Managerial evaluations of organizational citizenship behavior and overall performance were also obtained for each of these people. The results indicate that (1) managers do recognize several different dimensions of “citizenship” behavior, and these OCBs are distinct from objective sales productivity, (2) the combination of OCBs and objective sales productivity accounts for substantially more variance in managers’ overall evaluations than typically is accounted for by sales productivity alone, and (3) the OCBs (taken as a group) consistently account for a larger portion of the variance in managerial evaluations than does sales productivity. The implications of these findings for salesforce motivation and evaluation are discussed.
Optimized Virtual Machine Deployment Mechanism in Cloud Platform

Hosts are usually selected only based on hosts' current CPU conditions using traditional method.It brings load imbalance caused by the irrational use of resources.Aiming at this problem,this paper presents a virtual machine deployment mechanism in cloud platform.The model which can automatically select host is established.The automatic selection strategy is based on the individual needs,and it can predict follow-up load and resource consumption of virtual machines.Experimental results show that the mechanism can meet the users' requirement and improve the system performance.
The Definition Of Standard Ml Revised

Thank you very much for downloading the definition of standard ml revised. Maybe you have knowledge that, people have search hundreds times for their chosen books like this the definition of standard ml revised, but end up in malicious downloads. Rather than reading a good book with a cup of tea in the afternoon, instead they cope with some malicious virus inside their computer. the definition of standard ml revised is available in our digital library an online access to it is set as public so you can get it instantly. Our digital library saves in multiple locations, allowing you to get the most less latency time to download any of our books like this one. Kindly say, the the definition of standard ml revised is universally compatible with any devices to read.
Immediate Responses of Online Brand Search and Price Search to TV Ads

This study aims to deepen the understanding of evaluating TV ad spots by their immediate effects on important online activities. The authors merged minute-by-minute brand search and price search data with spot-level TV advertisement data for the three leading pickup truck brands in the United States over an 11-month period. They presented a generalizable modeling framework and used it to estimate the size and variation of immediate online responses to TV ads. The average elasticity of brand search to a brand’s own national ads is . 09, and the average elasticity of price search to a brand’s own national ads is . 03. Given ad audience size, immediate search responses vary with ad creative characteristics, audience category interest, slot of the break, program genre, and time factors. Overall, the results show that ordinary TV ads lead to a variety of immediate online responses and that advertisers can use these signals to enrich their media planning and campaign evaluations.
Cryptocurrencies: Concept and Current Market Structure

Since Bitcoin brought cryptocurrencies into the spotlight in the early 2010s, the number and diversity of digital coins expanded dramatically. With this report, we aim to provide a concise introduction on the emergence and defining features of cryptocurrencies for researchers (and students) in economics, finance, mathematics and computer science. In doing so, we survey both the academic and non-academic literature in order to offer a brief history of cryptocurrencies, starting from the early 1980s, and we describe the key innovative aspects behind cryptocurrencies. We group these innovations into two broad categories: technological innovation and governance innovation. The main technological innovation behind cryptocurrencies is the blockchain – a public ledger of all transactions, secured through cryptography. We provide a non-technical description of the blockchain and of all the auxiliary tools and systems that are used to transact cryptocurrencies. In terms of governance, the main innovation is the ability of any user to transact cryptocurrencies without the involvement of a 3rd party. Although this fact is used to justify the security of cryptocurrencies, we point out that each cryptocurrency is still controlled, to a certain extent, by a set of agents that operate (within or outside of the blockchain) with disproportionate power. We provide an overview of these agents, and a classification of cryptocurrencies based on their governance structure. The report also contains a list of the most relevant cryptocurrencies at the moment of writing.