Miracle-dz/UniFAR-FTUs huggingface dataset:
Mesures de qualité des règles d'association : normalisation et caractérisation des bases

Les regles d'association revelent des regularites non triviales et potentiellement utiles pour l'aide a la decision, dans les bases de donnees. Leur validite est evaluee par le biais de mesures de qualites dont les plus utilisees sont le support et la confiance. Pour une base de donnees transactionnelles d'un supermarche, elles sont du type "90% des clients ayant achete du vin et du fromage ont egalement achete du pain, sachant que 75% des clients ont achete ces articles". Dans ce travail, nous specifions une classe de mesures de qualite normalisees en ce sens qu'elles refletent les situations de reference comme l'incompatibilite, la dependance negative, l'independance, la dependance positive, et l'implication logique entre la premisse et le consequent. Nous caracterisons les mesures de qualite normalisables, donnons les formules de normalisation et montrons que la plupart de celles qui sont normalisables ont la meme normalisee, a savoir la mesure de qualite Mgk introduite dans Guillaume (2000). De plus, nous caracterisons des bases pour les regles positives et les regles negatives valides au sens de Mgk, et proposons des algorithmes de generation de ces bases
Psychological empowerment, motivation and job performance amongst 5-star hotel employees in Kuala Lumpur / Dziatul Nadiah Dzia-Uddin

Hospitality and tourism in Malaysia is growing as one of the major revenue contributor to the country's economy and moving in line with vision to make Malaysia as a high-income country. Overall, this achievement was due to effective tourism activities that have been planned by Malaysia ministry of tourism until this industry became steady. Hotel industry plays a vital role as complement to tourism as it provides accommodation to tourists. Nowadays, in an increasingly competitive global economy make hotel industry became very competitive especially in the big cities such as in Kuala Lumpur, Malaysia. In order to compete with other competitors, the hotel management needs to find ways and acts fast in order to make its hotel to be the best hotel in terms of satisfying the guests as well as the employees. One of the ways is by adopting empowerment because this approach can allow the employees to fulfill all guests’ needs and wants, and at the same time the employees will have the feeling of ownership. This study attempts to investigate the influence between psychological empowerment dimensions (meaning and self-determination) and motivation and the implication on employees job performance. The determinant of the study framework model of this study was adopted by several researchers which are Thomas and Velthouse (1990), Haozhan (2010) and Indradevi (2012).
Use of fluorescent Ca 2 + dyes with green fluorescent protein and its variants : problems and solutions

We have studied the degree to which fluorescent Ca#+ indicator dyes, and green fluorescent protein and its variants, can be used together. We find that the most commonly used fluorescent protein, enhanced green fluorescent protein (EGFP), seriously contaminates fura 2 signals. We suggest two alternative combinations for which there is no detectable contamination of the Ca#+ indicator signal by the fluorescent protein. Blue fluorescent
Returns to adoption and the emergence of dominant designs

Three essays examine how increasing returns and standardization affect the emergence of dominant designs in the wake of innovation. The first essay (Chapter 2) links the innovation and economics literature with regard to how significant innovation in open production systems is accomplished. Though the innovation literature has regarded the firm as the locus of innovation, systems where a number of firms manufacture components only are common. Generating significant performance improvements in such systems requires that firms either use the market to develop a de facto standard or coordinate development. I argue de jure standards are explicit governance forms for coordination. I also examine the role o f limited scope consortia in the development and passage of de jure standards when institutional failure is anticipated. In the second essay (Chapter 3), I contrast real options and transaction cost perspectives on when firms in the ITC industry make acquisitions. I argue that if firms are using a real options approach to acquisition, the timing should coincide with the resolution of uncertainty regarding technological outcomes. Conversely, transaction cost economics would suggest earlier acquisition while uncertainty is high. These are tested through data gathered on acquisitions o f hardware producing firms in the ITC industry for 1995-2000. The effects o f equity investment, nonequity alliance and joint membership in industry alliances and limited scope consortia are included. I conclude that the transaction cost framework better explains the pattern o f acquisitions but that framing the definition o f an option differently may reconcile the theories. The third essay (Chapter 4) develops a simulation to examine if and when innovation adoption occurs. I include market uncertainty, scope of returns to adoption, firm size and relative knowledge overlap with innovators as factors in the simulation. I find that firm size and overlap are strong predictors o f adoption timing and that as returns to adoption increase, adoption may be deferred. At the industry level, the likelihood of new technology replacing old is strongly related to the scope of returns and when the first adoption occurs. Also, smaller innovators are more likely to win if theirs is the first technology adopted.
Robust iterative learning control for alloy batch weighing process in refining furnace

This paper proposes a robust iterative learning control method for the refining furnace alloy weighing process to solve the problem of the poor control accuracy and stability caused by the changing of alloy properties and the frequency of the vibration feeder. First, a two dimensional (2D) weighing model was established based on the analysis of the dynamic characteristics of alloy weighing process. Second, a control scheme is proposed for the 2D model of alloy weighing process. Third, a robust iterative learning controller is developed and a stability condition of the 2D system is derived through linear matrix inequality (LMI) obtained by a 2D Lyapunov-Krasovskii function. Finally, the simulation results show that the proposed method can sufficiently improve the control precision of the alloy weighing process.
Nonsmooth stabilization for distributed electric vehicle based on direct yaw-moment control

The nonsmooth stabilization for the distributed electric vehicle is considered based on direct yaw-moment control. The proposed control system consists of a state observer, a upper yaw-moment controller and a lower torque distribution controller. First of all, a Luenberger observer is proposed to estimate the sideslip angle to avoid using expensive sensors. Then, the nonsmooth control technique is applied to construct the upper controller such that the desired side slip angle and yaw rate can be well tracked. Finally, the lower controller is developed to distribute the torques to the independent four wheels according to the desired yaw-moment obtained by the given upper controller. Simulation results verify the effectiveness of the designed yaw moment stabilizing law.
Glutamate Receptor Anchoring Proteins and the Molecular Organization of Excitatory Synapses

ABSTRACT: Ionotropic glutamate receptors are concentrated at postsynaptic sites in excitatory synapses. The cytoplasmic C‐terminal tail of certain glutamate receptor subunits interact with specific PDZ domain‐containing proteins. NMDA receptor NR2 subunits bind to the PSD‐95 family of proteins, whereas AMPA receptor subunits GluR2/3 bind to GRIP. These interactions may underlie the clustering, targeting, and immobilization of the glutamate receptors at postsynaptic sites. By virtue of their multiple protein‐binding domains (e.g., three PDZs in PSD‐95 and seven PDZs in GRIP), PSD‐95 and GRIP can function as multivalent proteins that organize a specific cytoskeletal and signaling complex associated with each class of glutamate receptor. The network of protein‐protein interactions mediated by these abundant PDZ proteins is likely to contribute significantly to the molecular scaffold of the postsynaptic density.
Symmetric kinematic formulation and non-master/slave coordinated control of two-arm robots

Tasks consisting of manipulating an object with two cooperating robots are studied from the standpoints of statics and kinematics; coordinates to describe these tasks are derived theoretically, on which forces, velocities, and positions are defined consistently. Based on those results, a hybrid position/force control scheme which distinguishes neither a master robot nor a slave robot is presented for the coordination of the two robots. In the static and kinematic analyses, the concept of a 'virtual stick' is introduced, which is used to make the motions of the two robots be considered at the centre of the object. Thus, use of the matrix pseudo-inverse technique decouples the motions into absolute and relative motions. Generalized forces, velocities, and positions are derived theoretically in those decoupled subspaces. These forces, velocities, and positions are symmetric functions of the jointspace forces, velocities, and positions. Therefore, the hybrid position/force control scheme using the workspace c.
Stability analysis for tactile pattern based recognition system for hand gestures

In this article a new pattern recognition system for hand gestures developed for the control of active hand prostheses is presented. The system uses muscle contraction for gesture recognition. Different hand gestures produce discrete tactile patterns in the prosthetic socket by muscle contractions. The tactile patterns from hand gestures are analyzed and classified by the recognition system. Thus, a user can control hand prosthesis muscle contraction of the arm from hand gestures. This paper introduces the concept of force resistive resistor sensor based recognition system for hand gestures and then discusses the issues of stability of classification during reattaching of the prosthetic socket.
Enhanced Curriculum Intervention Did Not Result in Increased Postnatal Physical Activity in Rural, Southern, Primarily African American Women

Purpose: To test the impact of an enhanced home visiting curriculum on postnatal physical activity in rural, southern, primarily African American mothers. Design: Randomized controlled trial. Setting: Three rural counties in Mississippi. Participants: Between September 2013 and May 2016, 54 postpartum women randomized to standard home visiting curriculum (n = 30 control) or lifestyle enhanced home visiting curriculum (n = 24 experimental) were followed for 12 months. Intervention: The experimental arm of the intervention built upon the Parents as Teachers curriculum (control arm) by adding culturally tailored, maternal weight management and early childhood obesity prevention components. Measures: Physical activity behavior and related psychosocial constructs including attitudes, expectations, self-efficacy, social support, and barriers. Analysis: Generalized linear mixed models were applied to test for treatment and time effects on physical activity and related psychosocial constructs. Results: Postnatal retention rates were 83% and 88% for control and experimental arms, respectively. Mean weekly minutes of moderate-to-vigorous physical activity were 28 and 50 minutes at postnatal months 1 and 12 in the control arm and 40 minutes for both time points in the experimental arm. Although a significant time effect was found, pairwise comparisons failed to reach statistical significance. Conclusion: The enhanced treatment was not effective at increasing postnatal physical activity nor improving related psychosocial construct measures in this cohort of rural, southern women.
The Effects of Relationship Marketing Competence on Positional Advantage in Export Marketplaces: An Investigation on Korean Manufacturers

Exporters often suffer from cross-national distances and possess insufficient resources such as knowledge of internationalization. These exporters can have a partnership with export intermediaries that possess relationship marketing competence. Few studies, however, have explained export intermediaries’ contribution to exporters’ sustainable success in the export marketplace. The present study aims to identify the effects of relationship marketing competence on positional advantage in export marketplaces. Based crucially on the resource -advantage of competition, the author theorizes key relationships between cross-national distances and positional advantage and the moderating effects of export-intermediaries’ relationship marketing competence. This theoretical model was tested using data collected from Korean manufacturers conducting export marketing. The data were analyzed using partial least squares technique. The author emphasizes the importance of partnerships in the context of exporting and contribute to the extension of knowledge on international business and strategic management. This manuscript is concluded with implications for theory and management and provides critical directions for further research given the limitations of the current study.
Analysis of DNA Chips and Gene Networks Fall Semester , 2010 Lecture 14 : January 21 , 2010

Over the past weeks, we have seen a number of methods for gene expression profile analysis. From clustering (see scribe 3-5) via classification (see scribe 7-9) to biclustering (see scribe 6, 10 and 11), all the methods we dicussed dealt solely with the analysis of expression patterns. We would now like to introduce methods that combine gene expression data with data from other sources such as protein-protein interactions networks, patient status and patient clinical parameters. This combination of different data types may help in mapping the underlying cause of a certain phenotype.
Antibodies to Herpesvirus hominis types 1 and 2 in the rabbit.

The microneutralization technique and pN method of analysis were used to differentiate antibodies to Herpesvirus hominis (HVH) types 1 and 2 in the rabbit. On the basis of this and other studies, pN difference values (type 1 – type 2) higher than +0.5 were considered to represent a type 1 response, values less than +0.05 a type 2 response and values between +0.05 and +0.5 an intermediate response. In experiments in which rabbits were inoculated with one HVH type followed by injections of the other type, it appears that the intermediate response represents exposure to both HVH types. Ocular inoculation of animals previously infected with one or the other HVH type resulted in infection of the cornea in some cases despite the presence of systemic antibodies.
On the sampling of a linear analytic control system

In the present work we characterize the discrete time system which reproduces exactly the evolutions in the state of a given vector input linear analytic continuous time system driven by inputs which are constant on time intervals of fixed amplitude. This is achieved by comparing the Volterra series associated respectively to the sampled and continuous input state functionals. Moreover we give a compact Lie formula for the solution of a parametrized nonlinear differential equation which enables to characterize the nonlinear difference equation which solves the problem in terms of formal Lie series. On these bases, it becomes very natural to introduce a notion of approximated sampling of main efficiency in practical situations for computing purpose.
The Public Policy Implications Of Audit Regulation: Three Studies Related To The Passage Of The Sarbanes-Oxley Act Of 2002

This dissertation documents and evaluates certain financial and non-financial strategies used by the public accounting profession to influence audit regulation during the policy formation period of the Sarbanes-Oxley Act of 2002 (SOX). The dissertation is comprised of three separate, but related studies. Each study uses prior research in accounting and related disciplines to investigate significant aspects the profession’s strategies. The first study evaluates the rationality and effectiveness of political action committee (PAC) contributions paid by the accounting profession to members of Congress. The study finds that the accounting profession rationally allocated more PAC contributions to top congressional leaders and to members of committees having jurisdiction over SOX. The study also finds that the accounting profession allocated more PAC contributions to legislators with a history of pro-business roll call voting behavior and to candidates in close electoral races. This evidence suggests that the profession is motivated to contribute cash to legislators in order to gain access to lobby and to influence the ideological composition of the legislature. A voting model also finds a positive relationship in two instances between PAC contributions and roll call voting favorable to the economic interests of the profession in the House of Representatives. The second study evaluates the effect of these PAC contributions on Committee members’ frequency and mode of speech during public hearings related to SOX. Using computerized computational linguistics, the study finds a significant positive association
Timing effects of corporate social responsibility disclosure: an experimental study with investment professionals

ABSTRACT Companies disclose increasingly more corporate social responsibility (CSR) related information. However, CSR information is not always treated entirely rationally by capital market participants. In an experiment using experienced investment professionals, we investigate how the timing of CSR disclosure influences firm valuations by professional investors. The results suggest that CSR disclosure in a stand-alone report, temporally disconnected to firm’s financial disclosure, may lead to asymmetric anchoring, whereby simultaneous disclosure of CSR and financial information in an integrated report prevents anchoring in investors’ judgement. Investors’ asymmetric anchoring is induced by differences in cognitive effort invested in CSR information processing, which depends on whether CSR information signals future profits or losses. Our results contribute to the debate on disclosure standards for CSR information and the use of CSR information by professional investors.
Inferring biochemical routes from biochemical networks

Metabolism is a defining feature of life, and its study is important to understand how a cell works, alterations that lead to disease and for applications in drug discovery. From a systems perspective, metabolism can be represented as a network that captures all the metabolites as nodes and the interconversions among pairs of them as edges. Such an abstraction enables the networks to be studied by applying graph theory, particularly, to infer the flow of chemical information in the networks by identifying relevant metabolic pathways. In this study, different weighting schemes are used to illustrate that appropriately weighted networks can capture the quantitative cellular dynamics quite accurately. Thus, the networks now combine the elegance and simplicity of representation of the system and ease of analysing metabolic graphs. Metabolic routes or paths determined by this therefore are likely to be more biologically meaningful. The usefulness of the approach is demonstrated with two examples, first for understanding bacterial stress response and second for studying metabolic alterations that occurs in cancer cells.
Performance of COFDM-based transmitter diversity in a road-to-vehicle communication system

Proposes a coded orthogonal frequency-division multiplexing (COFDM) based road-to-vehicle communication system. The proposed system makes efficient use of COFDM in order to get the implicit transmitter diversity effect. The paper then evaluates the received signal power and bit error rate performance in two diversity models. In one model, two antennas are vertically set up on top of a base station (BS) post. The other model uses two BS and the same signal is simultaneously transmitted from both BS. Computer simulation results show that the proposed scheme is capable of obtaining the transmitter diversity effect in both models.
KESELAMATAN KONSTRUKSI: KONSEPSI DAN REGULASI

Accident rate in Indonesia, specially at construction sector, was very bad. Therefore,seriuosly action for the minimization of construction accident must be done. In the year of 2009,Department of Public Work have theme: "Going to Indonesia Construction with quality byEmphasizing a Occupational Safety and Health". The expected target is the recovery ofconstruction safety in I
An Overview of Data Mining and Anomaly Intrusion Detection System using K-Means

: In Information Security, intrusion detection is the act of detecting actions that attempt to compromise the security goal. One of the primary challenge to intrusion detection is the problem of misjudgement , misdetection and lack of real time response to the attack. Although various techniques or applications are available to protect data, loopholes exist. Thus to analyze data and to determine various kind of attack data mining techniques have emerged to make it less vulnerable. Anomaly detection uses these datamining techniques to detect the surprising behaviour hidden within data increasing the chances of being intruded or attacked. Various data mining techniques as clustering, classification and association rule discovery are being used for intrusion detection. The proposed technique combines data mining approaches like K Means clustering algorithm and RBF kernel function of Support Vector Machine as a classification modules. The main intention of proposed technique is to decrease the number of attributes associated with each data point. So, the future technique can perform better in terms of Detection Rate and Accuracy when applied to KDDCUP’99 Data Set. This paper reviews various data mining techniques for anomaly detection to provide better understanding among the existing techniques that may help interested researchers to work future in this direction.
Effect of Financial Literacy and Performance SMEs. Evidence from Kenya

The main purpose was to determine the relationship between financial literacy and performance of small and medium enterprises in Uasin Gishu County. The study was informed by the theory of planned behavior. The study comprised of 1053 registered SMEs owners in Uasin Gishu County. Cluster and random sampling techniques were used to select a sample size of 290 SMEs. Data was collected using structured questionnaires. Test-retest technique was employed to test the reliability of the data collection instruments. Descriptive statistics was used to analyze the data, and data was presented in the form of frequencies, tables, percentages, means and standard deviation. Inferential statistics and Pearson correlation were used to analyze data. The findings are indicative of a significant effect of borrowing financial literacy and budgeting financial literacy on SME performance. It is recommended that SME owners enhance the training on the calculation of interest rate and need to have budget expertise since they dictate whether the budget would be implemented as prepared or not. Finally, there is a need for employees to have the necessary reporting and analyzing skills.