Miracle-dz/UniFAR-FTUs huggingface dataset:
A typology of technology‐based entrepreneurs

Despite increasing evidence of the use of typologies in entrepreneurship research, comparatively little work has attempted to distinguish between different types of technical entrepreneur. Aims to develop such a typology. Examines previous research into the organizational backgrounds from which technical entrepreneurs have emerged to form new ventures. Follows this with an analysis of detailed qualitative interviews administered to a sample of technical entrepreneurs in the United Kingdom, which leads to the formulation of a typology of technical entrepreneurs based on their previous occupations and, in particular, on the role played by the technical entrepreneurs in the development of technology with past employers.
Evaluating the performance of inflation targeting regime in three Asian economies

We conduct empirical analysis in evaluating the performance of inflation targeting (IT) in three emerging East-Asian economies that have implemented this regime. These three economies are Korea, Philippines and Thailand. The performance of inflation targeting regime is evaluated by comparing the economic achievement and structure changed between the pre- and post- IT periods. In particular, evaluation is focused on the inter-relationship between inflation and output growth / gap in these emerging economies between the pre- and post-IT periods. The inflation rate and the change in the macroeconomic variables are observed through country specific data. A bivariate GARCH (1,1) model is applied to study the inter-relationship between inflation and output gap. The results also enable us to detect if IT regime induces disinflation cost by causing lower growth or higher output gap. We compare the results of GARCH with the results of structural VAR for robustness checking. Both analyses provide consistent results. We observe lower inflation rate in the post-IT period. However, there is no significant correlation between inflation and output gap and we find no evidence that lower inflation causes lower growth or higher output gap. Both output gap and inflation are determined mainly by their own impulses. Besides, output gap is more persistent than inflation. We conclude that IT regime has improved the economies of these countries.
A Proposal For Classifying Tangled Code

A lot of different composition mechanisms claim to permit aspect-oriented software development because they are able to handle the problem of tangled code which was the original target of aspect-oriented programming (AOP). However, it becomes hard to compare those different approaches, because they usually focus on different kinds of tangled code. For comparing different approaches it is necessary to find some communalities between tangled code. Such communalities can be used to classify tangled code and in that way the impact of new aspect-oriented approaches can be determined in respect to what classes of tangled code they are able to handle. A general purpose aspectoriented approach should be able to handle all kinds of tangled code. Currently, there is no common agreement about how to classify tangled code. This paper outlines the need for such a classification and proposes a (preliminary) non-formal classification of tangled code.
Intelligent Traffic Management Service for High-Speed Networks by Using Fuzzy Logic Control

In view of the invasive web traffic, this paper propose a distributed traffic management framework, in which routers area unit deployed with intelligent rate controllers to tackle the traffic mass. in contrast to different express control protocols that ought to estimate network parameters (e.g., link latency, bottleneck information measure, packet loss rate, or the amount of flows) so as to cipher the allowed supply causing rate, our fuzzy-logic- based controller will live the router queue size directly; therefore it avoids varied potential performance issues arising from parameter estimations whereas reducing a lot of consumption of computation and memory resources in routers. As the network parameter, the queue size will be accurately monitored and accustomed proactively decide if action ought to be taken to regulate the supply causing rate, so increasing the resilience of the network to traffic jam. The communication QoS(Quality of Service) is assured by the great performances of our theme like min-max fairness and low queueing delay and good strength to network dynamics.The simulation results and comparisons are verified the effectiveness and showed that our new traffic management theme are able to do higher performances than the prevailing protocols that suppose the estimation of network parameters.
Environmental sensing using millimeter wave sensor for extreme conditions

The aim of this work is to investigate rotational millimeter wave sensor for autonomous navigation in extreme environmental and weather conditions. The proposed research describes the development and deployment of efficient millimeter wave radar system for mobile robotics as a primary range sensor to allow for localization and mapping. In fact, in highly demanding weather conditions, conventional sensors for outdoor navigation, like ultrasound, lasers and optical sensors have known limitations, that may be at least overcome using the Millimeter Wave Radars. Specifically, our contribution focuses on the extraction of range and velocity information from the data collected by rotating the antennas of a millimeter wave radar at different speed profiles: 360° rps, 180° rps and 36° rps. Experimental validation was performed in foggy conditions to test the robustness of the proposed sensor in a realistic scenario, showing that distances can be acquired in the range of 1 to 40m, at a suitable rate.
Characterization and generation of a general class of resource-constrained project scheduling problems

This paper addresses the issue of how to generate problem instances of controlled difficulty. It focuses on precedence- and resource-constrained (project) scheduling problems, but similar ideas may be applied to other network optimization problems. It describes a network construction procedure that takes into account a) constraints on the network topology, b) a resource factor that reflects the density of the coefficient matrix, and c) a resource strength, which measures the availability of resources. The strong impact of the chosen parametric characterization of the problems is shown via an in depth computational study. Instances for the single- and multi-mode resource-constrained project scheduling problem are benchmarked by using the state of the art (branch and bound) procedures. The results provided, demonstrate that the classical benchmark instances used by several researchers over decades belong to the subset of the very easy ones. In addition, it is shown that hard instances, being far more smaller in size than presumed in the literature, may not be solved to optimality even within a large amount of computation time.
Tunable CMOS Delay Gate With Improved Matching Properties

This paper presents the analysis and design of a tunable CMOS delay gate with improved matching properties as compared with the commonly used “current starved inverter” (CSI). The main difference between these structures lies in the location of the current limiting transistor on the inverter's output rather than on the side of the power rail. This improves the dynamic performance of the proposed “output split inverter” (OSI) circuit reducing the influence of the MOS transistor mismatch on the generated delay time variability. A test chip including two arrays consisting of 512 16-stage delay lines employing the CSI and OSI gates has been designed and fabricated in a standard 90 nm CMOS technology. The experimental results show that the proposed OSI circuit is about 10-50% more accurate than the conventional current starved inverter with no penalty in terms of the increased area, power consumption or complexity. Applications of the proposed circuit are in the design of time-to-digital converters (TDCs), delay locked loops, readout circuits for particle detection and time-based asynchronous computation systems.
A robust audio fingerprint extraction algorithm

An Audio fingerprint is a small digest of an audio file computed from its main perceptual properties. Like human fingerprints, Audio fingerprints allow to identify an audio file among a set of candidates but does not allow to retrieve any other characteristics of the files. Applications of Audio fingerprint include audio monitoring on broadcast channels, filtering peer to peer networks, meta data restoration in large audio library and the protection of author's copyrights within a Digital Right Management(DRM) system. We propose in this paper a new fingerprint extraction algorithm which combines a segmentation method with a new fingerprint construction scheme. The proposed method is robust against compression and time shifting alterations of the audio files.
Brief treatment of mild-to-moderate child depression using primary and secondary control enhancement training.

Elementary school children with mild-to-moderate depressive symptoms were randomly assigned to a control group or an 8-session Primary and Secondary Control Enhancement Training program. The program focused on (a) primary control (changing objective conditions to fit one's wishes; e.g., through activity selection and goal attainment) and (b) secondary control (changing oneself to buffer the impact of objective conditions; e.g., altering depressogenic thinking, practicing mood-enhancing cognitions). At immediate posttreatment and 9-month follow-up, the treatment group showed greater reductions than the control group in depressive symptomatology on the Children's Depression Inventory and the Revised Children's Depression Rating Scale, and treated children, more than controls, shifted from above to within the normal range on both measures. Future research is needed to test treatment effects with severely depressed youths.
An Adaptive Parallel Computer Vision System

An approach for designing a hybrid parallel system that can perform different levels of parallelism adaptively is presented. An adaptive parallel computer vision system (APVIS) is proposed to attain this goal. The APVIS is constructed by integrating two different types of parallel architectures, i.e. a multiprocessor based system (MBS) and a memory based processor array (MPA), tightly into a single machine. One important feature in the APVIS is that the programming interface to execute data parallel code onto the MPA is the same as the usual subroutine calling mechanism. Thus the existence of the MPA is transparent to the programmers. This research is to design an underlying base architecture that can be optimally executed for a broad range of vision tasks. A performance model is provided to show the effectiveness of the APVIS. It turns out that the proposed APVIS can provide significant performance improvement and cost effectiveness for highly parallel applications having a mixed set of parallelisms. Also an example application composed of a series of vision algorithms, from low-level and medium-level processing steps, is mapped onto the MPA. Consequently, the APVIS with a few or tens of MPA modules can perform the chosen example application in real time when multiple images are incoming successively with a few seconds inter-arrival time.
Effect of Medium Supplements on Agrobacterium rhizogenes Mediated Hairy Root Induction from the Callus Tissues of Camellia sinensis var. sinensis

Tea (Camellia sinensis L.) is recalcitrant to Agrobacterium-mediated genetic transformation largely due to the bactericidal effects of tea polyphenols and phenolics oxidation induced by necrosis of explant tissue over the process of transformation. In this study, different antioxidants/adsorbents were added as supplements to the co-cultivation and post co-cultivation media to overcome these problems for the transformation improvement. Tea-cotyledon-derived calli were used as explants and Agrobacterium rhizognes strain ATCC 15834 was used as a mediator. Results showed that Agrobacterium growth, virulence (vir) gene expression and browning of explant tissue were greatly influenced by different supplements. Murashige and Skoog (MS) basal salts medium supplemented with 30 g·L−1 sucrose, 0.1 g·L−1 l-glutamine and 5 g·L−1 polyvinylpolypyrrolidone (PVPP) as co-cultivation and post co-cultivation media could maintain these parameters better that ultimately led to significant improvement of hairy root generation efficiency compared to that in the control (MS + 30 g·L−1 sucrose). Additionally, the reporter genes β-glucuronidase (gusA) and cyan fluorescent protein (cfp) were also stably expressed in the transgenic hairy roots. Our study would be helpful in establishing a feasible approach for tea biological studies and genetic improvement of tea varieties.
Optical particle manipulation by application-specific densely packed VCSEL arrays

Densely packed arrays of vertical-cavity surface-emitting lasers (VCSELs) are presented, serving as low-cost and small-sized laser sources in optical particle manipulation systems. A novel, self-aligned fabrication process enables both a pitch in the 20 µm range and a selective surface etch for enhanced transverse singlemode emission. Homogeneous array performance and singlemode output powers of up to 3.8 mW are observed. By inserting the arrays into an optical tweezer setup with external optics, multiple optical traps are easily created. Non-mechanical particle translation by switching between individually addressable devices as well as continuous particle deflection in a one-dimensional optical lattice are demonstrated.
Nutrient depletion in Bacillus subtilis biofilms triggers matrix production

Many types of bacteria form colonies that grow into physically robust and strongly adhesive aggregates known as biofilms. A distinguishing characteristic of bacterial biofilms is an extracellular polymeric substance (EPS) matrix that encases the cells and provides physical integrity to the colony. The EPS matrix consists of a large amount of polysaccharide, as well as protein filaments, DNA and degraded cellular materials. The genetic pathways that control the transformation of a colony into a biofilm have been widely studied, and yield a spatiotemporal heterogeneity in EPS production. Spatial gradients in metabolites parallel this heterogeneity in EPS, but nutrient concentration as an underlying physiological initiator of EPS production has not been explored. Here, we study the role of nutrient depletion in EPS production in Bacillus subtilis biofilms. By monitoring simultaneously biofilm size and matrix production, we find that EPS production increases at a critical colony thickness that depends on the initial amount of carbon sources in the medium. Through studies of individual cells in liquid culture we find that EPS production can be triggered at the single-cell level by reducing nutrient concentration. To connect the single-cell assays with conditions in the biofilm, we calculate carbon concentration with a model for the reaction and diffusion of nutrients in the biofilm. This model predicts the relationship between the initial concentration of carbon and the thickness of the colony at the point of internal nutrient deprivation.
Pseudomonas aeruginosa adapts its iron uptake strategies in function of the type of infections

Pseudomonas aeruginosa is a Gram-negative γ-Proteobacterium which is known for its capacity to colonize various niches, including some invertebrate and vertebrate hosts, making it one of the most frequent bacteria causing opportunistic infections. P. aeruginosa is able to cause acute as well as chronic infections and it uses different colonization and virulence factors to do so. Infections range from septicemia, urinary infections, burn wound colonization, and chronic colonization of the lungs of cystic fibrosis patients. Like the vast majority of organisms, P. aeruginosa needs iron to sustain growth. P. aeruginosa utilizes different strategies to take up iron, depending on the type of infection it causes. Two siderophores are produced by this bacterium, pyoverdine and pyochelin, characterized by high and low affinities for iron respectively. P. aeruginosa is also able to utilize different siderophores from other microorganisms (siderophore piracy). It can also take up heme from hemoproteins via two different systems. Under microaerobic or anaerobic conditions, P. aeruginosa is also able to take up ferrous iron via its Feo system using redox-cycling phenazines. Depending on the type of infection, P. aeruginosa can therefore adapt by switching from one iron uptake system to another as we will describe in this short review.
(K, G)-anonymity model based on grey relational analysis

k-anonymity is an effective method of privacy preserving. However, some traditional k-anonymity models do not capture diversity and dispersibility of sensitive values in each equivalence class, which makes the privacy disclosure of anonymity table occur easily. In this paper, an advanced (k, g)-anonymity model for numerical data is proposed, and a (k, g)-MDAV algorithm is designed to achieve (k, g)-algorithm. Experimental results show that the algorithm can lower the risk of privacy disclosure while maintaining the data availability.
The meaning in empathy: Distinguishing conceptual encoding from facial mimicry, trait empathy, and attention to emotion

In order to truly empathise with another, we need to recognise and understand how they feel. Perception–action models of empathy predict that attending to another's emotion will spontaneously activate the observer's own conceptual knowledge for the state, but it is unclear how this activation is related to facial mimicry, trait empathy, or attention to emotion more generally. In the current study, participants did spontaneously encode background facial expressions at a conceptual level even though they were irrelevant to the task (the Emostroop effect; Preston & Stansfield, 2008), but this encoding was not associated with mimicry of the faces, trait empathy, the ability to resolve competing semantic representations (Colour-naming Stroop task), or the tendency to be distracted by emotional information more generally (Intrusive Cognitions task). Our results suggest that trait empathy increases attention to emotional information, but conceptual encoding occurs across individuals as a natural consequence of attended perception.
Optimized Sinus Wave generation with Compressed Sensing for Radar Applications

In Radar applications it is important to generate a sinus signal with low phase distortion. High precision oscillators have a low level of efficiency, they are expensive and also require an analog power amplifier with linear characteristic. The sinus generation with pulse width modulation (PWM) is effective and economical, but adds additional noise to the signal. When the transmission channel is known, then the signal generation can be optimized to receive a sinus wave with lower noise. We introduce here a new algorithm to determine the coefficients for the PWM and compare the performance of signal generation with linearization method.
Methods and challenges in timing chromosomal abnormalities within cancer samples

Motivation: Tumors acquire many chromosomal amplifications, and those acquired early in the lifespan of the tumor may be not only important for tumor growth but also can be used for diagnostic purposes. Many methods infer the order of the accumulation of abnormalities based on their occurrence in a large cohort of patients. Recently, Durinck et al. (2011) and Greenman et al. (2012) developed methods to order a single tumor’s chromosomal amplifications based on the patterns of mutations accumulated within those regions. This method offers an unprecedented opportunity to assess the etiology of a single tumor sample, but has not been widely evaluated. Results: We show that the model for timing chromosomal amplifications is limited in scope, particularly for regions with high levels of amplification. We also show that the estimation of the order of events can be sensitive for events that occur early in the progression of the tumor and that the partial maximum likelihood method of Greenman et al. (2012) can give biased estimates, particularly for moderate read coverage or normal contamination. We propose a maximum-likelihood estimation procedure that fully accounts for sequencing variability and show that it outperforms the partial maximum-likelihood estimation method. We also propose a Bayesian estimation procedure that stabilizes the estimates in certain settings. We implement these methods on a small number of ovarian tumors, and the results suggest possible differences in how the tumors acquired amplifications. Availability and implementation: We provide implementation of these methods in an R package cancerTiming, which is available from the Comprehensive R Archive Network (CRAN) at http://CRAN.R-project.org/. Contact: epurdom@stat.Berkeley. edu Supplementary information: Supplementary data are available at Bioinformatics online.
An improved outlier detection algorithm based on frequent pattern

This paper focuses on the outlier detection algorithm based on frequent pattern (FP method). First we analyze the drawback of FP method, and then present an improved method (LFP method). Finally, we evaluate the two methods by using several datasets and the experiment results show that the LFP method outperforms the FP method in outlier detection.
Face Recognition Using Combined Global Local Preserving Projections and Compared With Various Methods

In appearance-based methods, we usually represent an image of size n x m pixels by a vector in an n x m - dimensional space. How ever, these n x m-dimensional spaces are too large to allow robust and fast face recognition. A common w ay to attempt to resolve this problem is to use dimensionality reduction techniques. The most prominent existing techniques for this purpose are Principal Component Analysis (PCA) and Locality Preserving Projections (LPP). We propose a new combined approach for face recognition which aims to integrate the advantages of the global feature extraction technique like PCA and the local feature extraction technique LPP . It has been introduced here (CGLPP- Combined Global Local Preserving Projections. Finally, Comparison is done w ith various recognition methods. Experimental evaluations are performed on the ORL and UMIST data sets w ith 400 images and 40 subjects.