Miracle-dz/UniFAR-FTUs huggingface dataset:
Level of Readiness to Become Entrepreneurs among Lifelong Learning Programmes Participants in Malaysian Community Colleges

An entrepreneur needs to be physically and mentally prepared, with creative thinking skills, risk taker attitudes, as well as being a wise decision maker. Individuals aiming to be successful entrepreneurs need to have adequate entrepreneurial readiness with respect to knowledge, interests, motivation and abilities. The purpose of the research is to measure the level of readiness towards becoming entrepreneurs among participants of the lifelong learning programme in Malaysian community colleges. This research focuses on four elements of readiness comprising knowledge, interest, motivation and ability which were measured using a self-perception questionnaire. The sample for this research consisted of 236 participants from 305 students in the Lifelong Learning (LL) programme for Pastry making at Malaysian community colleges under the Ministry of Education. Data were analysed using mean and Kruskal Wallis test. The data analyses results show that the level of readiness from the aspect of knowledge (M = 3.67, SD = 0.58) is moderate, interest (M = 4.13, SD = 0.55) is high, motivation (M = 4.13, SD = 0.55) is high and ability (M = 3.8852, SD = 0.64) is moderate. No difference was found on entrepreneurial readiness between participants of different age groups indicating that age may not be a contributing factor towards entrepreneurship among pastry making LL programme participants.
Graded D-branes and skew categories

I describe extended gradings of open topological field theories in two dimensions in terms of skew categories, proving a result which alows one to translate between the formalism of graded open 2d TFTs and equivariant cyclic categories. As an application of this formalism, I describe the open 2d TFT of graded D-branes in Landau-Ginzburg models in terms of an equivariant cyclic structure on the triangulated category of `graded matrix factorizations' introduced by Orlov. This leads to a specific conjecture for the Serre functor on the latter, which generalizes results known from the minimal and Calabi-Yau cases. I also give a description of the open 2d TFT of such models which manifestly displays full grading induced by the vector-axial R-symmetry group.
Attitude stability control of capturing spacecraft without angular velocity

The main problem addressed is the attitude tracking control of rigid spacecraft without angular velocity measurement in the process of capturing non-cooperation target, angular velocity observer and adaptive attitude stability controller have designed to deal with this problem. An adaptive PID attitude controller is proposed, in which, the composite disturbance combined with inertia perturbance and external disturbance, is compensated by adaptive estimation, an angular velocity observer had been designed based on the adaptive PID controller, then, a novel modified PID controller have been obtained, which will only need attitude measurements, Lyapunov theory analysis verified the close-loop system is global asymptotically stability with the modified PID controller without angular velocity measurements. Finally, a variable gain replaced the constant gain to reduce the control magnitude. Typical numerical simulation has validated the variable gain controller have high-precision tracking ability and strong robustness of the closed-loop system.
Digit recurrence divider: Optimization and verification

In this paper, we present the division computation by the SRT algorithm. This last is characterized by the linear convergence, i.e., at each iteration, one quotient digit is obtained as result. Thus, increasing a radix, the iterations number decreases, but the hardware complexity increases which involve the use of a multiplier to calculate the product of quotient digit by the divider. For this purpose and for an implementation on a Xilinx FPGA circuit, we propose for a radix-8 and a maximum redundancy factor, an approach to divert the multiplication. This approach consists of the decomposition of the quotient digits into two terms power of 2. In this way, the multiplication is carried out by shifts and one addition. The implementation results revealed an iteration time of 11,7 ns.
N ov 1 99 8 Density-matrix spectra for integrable models

The spectra which occur in numerical density-matrix renormalization group (DMRG) calculations for quantum chains can be obtained analytically for integrable models via corner transfer matrices. This is shown in detail for the transverse Ising chain and the uniaxial XXZ Heisenberg model and explains in particular their exponential character in these cases.
The anti-tumor effects of calorie restriction are correlated with reduced oxidative stress in ENU-induced gliomas

The anti-tumor effects of calorie restriction (CR) and the possible underlying mechanisms were investigated using ethylnitrosourea (ENU)-induced glioma in rats. ENU was given transplacentally at gestational day 15, and male offspring were used in this experiment. The brain from 4-, 6-, and 8-month-old rats fed either ad libitum (AL) or calorie-restricted diets (40% restriction of total calories compared to AL rats) was studied. Tumor burden was assessed by comparing the number and size of gliomas present in sections of the brain. Immunohistochemical analysis was used to document lipid peroxidation [4-hydroxy-2-nonenal (HNE) and malondialdehyde (MDA)], protein oxidation (nitrotyrosine), glycation and AGE formation [methylglyoxal (MG) and carboxymethyllysine (CML)], cell proliferation activity [proliferating cell nuclear antigen (PCNA)], cell death [single-stranded DNA (ssDNA)], presence of thioredoxin 1 (Trx1), and presence of heme oxygenase-1 (HO-1) associated with the development of gliomas. The results showed that the number of gliomas did not change with age in the AL groups; however, the average size of the gliomas was significantly larger in the 8-month-old group compared to that of the younger groups. Immunopositivity was observed mainly in tumor cells and reactive astrocytes in all histological types of ENU-induced glioma. Immunopositive areas for HNE, MDA, nitrotyrosine, MG, CML, HO-1, and Trx1 increased with the growth of gliomas. The CR group showed both reduced number and size of gliomas, and tumors exhibited less accumulation of oxidative damage, decreased formation of glycated end products, and a decreased presence of HO-1 and Trx1 compared to the AL group. Furthermore, gliomas of the CR group showed less PCNA positive and more ssDNA positive cells, which are correlated to the retarded growth of tumors. Interestingly, we also discovered that the anti-tumor effects of CR were associated with decreased hypoxia-inducible factor-1α (HIF-1α) levels in normal brain tissue. Our results are very exciting because they not only demonstrate the anti-tumor effects of CR in gliomas, but also indicate the possible underlying mechanisms, i.e. anti-tumor effects of CR observed in this investigation are associated with reduced accumulation of oxidative damage, decreased formation of glycated end products, decreased presence of HO-1 and Trx1, reduced cell proliferation and increased apoptosis, and decreased levels of HIF-1α.
A gaze-preserving situated multiview telepresence system

Gaze, attention, and eye contact are important aspects of face to face communication, but some subtleties can be lost in videoconferencing because participants look at a single planar image of the remote user. We propose a low-cost cylindrical videoconferencing system that preserves gaze direction by providing perspective-correct images for multiple viewpoints around a conference table. We accomplish this by using an array of cameras to capture a remote person, and an array of projectors to present the camera images onto a cylindrical screen. The cylindrical screen reflects each image to a narrow viewing zone. The use of such a situated display allows participants to see the remote person from multiple viewing directions. We compare our system to three alternative display configurations. We demonstrate the effectiveness of our system by showing it allows multiple participants to simultaneously tell where the remote person is placing their gaze.
Frequency domain blind source separation for robot audition using a parameterized sparsity criterion

In this paper, we introduce a modified lp norm blind source separation criterion based on the source sparsity in the time-frequency domain. We study the effect of making the sparsity constraint harder through the optimization process, making the parameter p of the lp norm vary from 1 to nearly 0 according to a sigmoid function. The sigmoid introduces a smooth lp norm variation which avoids the divergence of the algorithm. We compared this algorithm to the regular l1 norm minimization and an ICA based one and we obtained promising results.
Fermionic Quantum Computation

We define a model of quantum computation with local fermionic modes (LFMs)—sites which can be either empty or occupied by a fermion. With the standard correspondence between the Foch space of m LFMs and the Hilbert space of m qubits, simulation of one fermionic gate takes O(m) qubit gates and vice versa. We show that using different encodings, the simulation cost can be reduced to O(log m) and a constant, respectively. Nearest neighbors fermionic gates on a graph of bounded degree can be simulated at a constant cost. A universal set of fermionic gates is found. We also study computation with Majorana fermions which are basically halves of LFMs. Some connection to qubit quantum codes is made.
Observing and probing

In this paper, we discuss and compare two user centred methods applied in concept design: observation and probes. The comparison is based on findings from two case studies. In these studies, user data was first inquired and then interpreted by a multidisciplinary design team, in order to support early user centered concept creation phase. The gathered user data and the current understanding of user experience served as a base for this reflection. In order to compare the findings, a framework of user experience qualities was generated from the point of view of concept design.
A Novel Approach for Classification of Congestive Heart Failure Using Relatively Short-term ECG Waveforms and SVM Classifier

—In this study, a novel approach for assessing congestive heart failure by using support vector machine (SVM) and relatively short-term ECG waveforms is presented. This approach only involved a simple data normalization, resampling, and repetition of periodic data in order to obtain a good accuracy while still being a good general classifier. The ECG unit patterns were first consecutively extracted from the ECG signal. Then the unit patterns were inputted into a support vector machine for classification. Stacking three unit patterns obtained the most general classifier, while stacking five unit patterns achieved the best accuracy. In conclusion, by introducing an extra periodic pattern into the SVM, it is possible to both increase the accuracy and generality of the classifier. This makes short waveform classification possible, rather than looking at long trends.
Regulation of functional cytodifferentiation and histogenesis in mammary epithelial cells: role of the extracellular matrix.

Primary mammary epithelial cells provide a versatile system for the study of hormone and extracellular matrix (ECM) influences on tissue-specific gene expression. We have characterized the formation of alveolarlike morphogenesis and mammary-specific functional differentiation that occur when these cells are cultured on a reconstituted basement membrane (EHS). Cells cultured on EHS exhibit many ultrastructural and biochemical features indicative of polarized and functionally differentiated mammary epithelium in vivo. The increased expression and specific vectorial secretion of milk proteins into lumina formed in culture are accompanied by large increases in milk protein mRNA expression. However, when individual ECM components are tested, smaller increases in milk protein mRNA are measured on heparan sulfate proteoglycan (HSPG) and laminin, and these responses are not associated with full functional cytodifferentiation or histotypic configuration. This indicates that multiple levels of regulation are involved in mammary-specific gene expression, and that in addition to individual ligand requirements cooperative interactions between various ECM molecules and cells are necessary for functional differentiation in culture. We have also shown that endogenous production of ECM molecules and changes in cell geometry are correlated with changes in functional and histogenic gene expression. We have previously proposed a model of cell-ECM interactions that is consistent with these data. ImagesFIGURE 1.FIGURE 2.FIGURE 4.FIGURE 5.FIGURE 7.
An Improved Artificial Bee Colony Algorithm Based on Balance-Evolution Strategy for Unmanned Combat Aerial Vehicle Path Planning

Unmanned combat aerial vehicles (UCAVs) have been of great interest to military organizations throughout the world due to their outstanding capabilities to operate in dangerous or hazardous environments. UCAV path planning aims to obtain an optimal flight route with the threats and constraints in the combat field well considered. In this work, a novel artificial bee colony (ABC) algorithm improved by a balance-evolution strategy (BES) is applied in this optimization scheme. In this new algorithm, convergence information during the iteration is fully utilized to manipulate the exploration/exploitation accuracy and to pursue a balance between local exploitation and global exploration capabilities. Simulation results confirm that BE-ABC algorithm is more competent for the UCAV path planning scheme than the conventional ABC algorithm and two other state-of-the-art modified ABC algorithms.
Cost-minimisation analysis of oral anticoagulant therapy monitoring methods: the case for prothrombin time self-monitoring.

INTRODUCTION Anticoagulant therapy is usually chronic and is indicated for the treatment of several medical conditions. The most common of these include patients with mechanical heart valves and those suffering from atrial fibrillation. METHODS This study compares two methods of oral anticoagulant therapy (OAT) monitoring: traditional prothrombin time measurement and self-measuring or self-regulation by the patient. As numerous published studies indicate that the two methods are equally effective (while underlining significant deviations in the frequency of complications), a cost-minimisation analysis was applied. The methodology was based on the consensus of experts from different geographical regions and health service sets. All costs and benefits attributable to patient treatment were examined and analysed from the perspective of the Greek National Health System (NHS). RESULTS From the analysis it was estimated that the savings from the use of self-monitoring could reach Euro 6,132,750 at market prices for a five-year period. The potential economic benefit from the expansion of self-monitoring to all eligible patients was equal to approximately 10% of the total treatment cost of the entire patient population under OAT in Greece. In addition, the social benefits resulting from higher prevention rates of possible complications, as well as the improvement in patients' quality of life should not be underestimated. The total reduction in private expenditure deriving from the expansion of self-monitoring was estimated at Euro 3,096,000, while savings for the NHS were estimated at Euro 2,473,317 over a five-year period. CONCLUSIONS The benefit to the healthcare system from the use of self-monitoring is significant, and the further use of this technology could contribute to the rational allocation of healthcare resources.
An improved k-means clustering algorithm over data accumulation in Delay Tolerant Mobile Sensor Network

Delay Tolerant Mobile Sensor Network (DT-MSN) possesses high delay tolerability. And the real-time requirement of data is reduced, which results in data packet accumulation. The limitations of nodal buffer and great data accumulation have created data management problem. Thus, it seems particularly important to complete the task of quick analysis of the collected data in DT-MSN. To solve the problem of data accumulation, an improved k-means clustering algorithm is proposed based on linear discriminant analysis (LDA), namely LKM algorithm. In the algorithm, we firstly apply the dimension reduction method of LDA to change the high-dimension dataset into two dimensional dataset, then we use k-means algorithm for clustering analysis. Simulation results show that LKM algorithm shortens the sample feature extraction time, and improves the accuracy of k-means clustering algorithm, thus enhancing the performance of k-means clustering algorithm to analyze and process vast data.
Propagators and WKB-exactness in the plane wave limit of AdS × S

Green functions for the scalar, spinor and vector fields in a plane wave geometry arising as a Penrose limit of AdS × S are obtained. The Schwinger-DeWitt technique directly gives the results in the plane wave background, which turns out to be WKB-exact. Therefore the structural similarity with flat space results is unveiled. In addition, based on the local character of the Penrose limit, it is claimed that for getting the correct propagators in the limit one can rely on the first terms of the direct geodesic contribution in the Schwinger-DeWitt expansion of the original propagators. This is explicitly shown for the Einstein Static Universe, which has the same Penrose limit as AdS × S with equal radii, and for a number of other illustrative cases.
Sequential Music Recommendations for Groups by Balancing User Satisfaction

Generating a sequence of music tracks recommendations to a group of users can be addressed by balancing the users’ satisfaction for a set of recommendations (the playlist), rather than finding items that individually provide good average satisfaction to the users. In this paper we introduce a ‘Balancing’ technique that builds a tracks’ sequence iteratively while constantly balancing users’ satisfaction levels. In a live user study we have shown that it produces playlist recommendations that are better than those generated by the average preference aggregation method and comparable to those manually compiled by
Strathprints Institutional Repository Simulating Drug-eluting Stents : Progress Made and the Way Forward. In: Special Session on Modelling and Simulation in Biology and Medicine Simulating Drug-eluting Stents Progress Made and the Way Forward

Strathprints is designed to allow users to access the research output of the University of Strathclyde. Copyright © and Moral Rights for the papers on this site are retained by the individual authors and/or other copyright owners. You may not engage in further distribution of the material for any profitmaking activities or any commercial gain. You may freely distribute both the url (http://strathprints.strath.ac.uk/) and the content of this paper for research or study, educational, or not-for-profit purposes without prior permission or charge. Abstract: Drug-eluting stents have significantly improved the treatment of coronary artery disease. Compared with their bare metal predecessors, they offer reduced rates of restenosis and thus represent the current gold standard in percutaneous coronary interventions. Drug-eluting stents have been around for over a decade, and while progress is continually being made, they are not suitable in all patients and lesion types. Furthermore there are still real concerns over incomplete healing and late stent thrombosis. In this paper, some modelling approaches are reviewed and the future of modelling and simulation in this field is discussed.
TinyTPM: A Novel Lightweight Key Agreement Scheme for Sensor Networks

The security of Wireless Sensor Networks (WSN) has been widely concerned due to its special properties. This paper introduces a novel mutual learning neural network model, named Tree Parity Machine, for weight synchronization. Then a lightweight Tree Parity Machine-based key agreement scheme for sensor networks, named TinyTPM, is proposed. Using NesC programming language in TinyOS-based development environment, the design and implementation of a TinyTPM-based key agreement protocol are presented. At final, the run of such TinyTPM-based protocol is simulated with correct results.
The Effect of Radiative Cooling on the Sunyaev-Zeldovich Cluster Counts and Angular Power Spectra: Analytic Treatment

Recently, the entropy excess detected in the central cores of groups and clusters has been successfully interpreted as being due to radiative cooling of the hot intragroup/intracluster gas. In such a scenario, the entropy floors Sfloor in groups/clusters at any given redshift are completely determined by the conservation of energy. In combination with the equation of hydrostatic equilibrium and the universal density profile for dark matter, this allows us to derive the remaining gas distribution of groups and clusters after the cooled material is removed. Together with the Press-Schechter mass function, we are able to evaluate effectively how radiative cooling can modify the predictions of Sunyaev-Zeldovich (SZ) cluster counts and power spectra. It appears that our analytic results are in good agreement with those found by hydrodynamical simulations. Namely, cooling leads to a moderate decrease of the predicted SZ cluster counts and power spectra as compared with standard scenario. However, without taking into account energy feedback from star formation that may greatly suppress cooling efficiency, it is still premature to claim that this modification is significant for the cosmological applications of cluster SZ effect.
Fractional supersymmetry and hierarchy of shape invariant potentials

Fractional supersymmetric quantum mechanics is developed from a generalized Weyl-Heisenberg algebra. The Hamiltonian and the supercharges of fractional supersymmetric dynamical systems are built in terms of the generators of this algebra. The Hamiltonian gives rise to a hierarchy of isospectral Hamiltonians. Special cases of the algebra lead to dynamical systems for which the isospectral supersymmetric partner Hamiltonians are connected by a (translational or cyclic) shape invariance condition.
Morphology of synchrotron emission in young supernova remnants

In the framework of test-particle and cosmic-ray modified hydrodynamics, we calculate synchrotron emission radial profiles in young ejecta-dominated supernova remnants (SNRs) evolving in an ambient medium which is uniform in density and magnetic field. We find that, even without any magnetic field amplification by Raleigh-Taylor instabilities, the radio synchrotron emission peaks at the contact discontinuity because the magnetic field is compressed and is larger there than at the forward shock. The X-ray synchrotron emission sharply drops behind the forward shock as the highest energy electrons suffer severe radiative losses.