Miracle-dz/UniFAR-FTUs huggingface dataset:
IT-enabled relational capabilities and open innovation performance

To address the issue how firms improve their open innovation performance in multi-firm context and what role IT enablers play in this process, we synthesize open innovation theory, the relational view and information systems (IS) literature to build a unified conceptual model, which links relational assets to open innovation performance, and indicate the mediated effect of IT-enabled relational capabilities. The model suggests that relational assets positively affect open innovation performance, and they play a strategic role when combined with IT to create IT-enabled relational capabilities. We shed light on the open innovation research from relational view, provide implications for IS research and practice, and it is an important contribution since open innovation performance has been hard to demonstrate despite attempts to draw on a variety of method and theory. Hypotheses are derived from the conceptual model and measurement items are designed for further empirical research.
Patterns of criminal threat in television news coverage of ethnic minorities in Flanders (2003–2013)

ABSTRACT Despite a strong cognitive association in the minds of native citizens between ethnic minority presence and crime, compelling evidence demonstrating a real-world relationship between crime and ethnic diversity is limited. This study adopts a media-based approach to contribute to the debate on the origin of the perception of criminal threats. By means of a content analysis of 11 years of crime news (2003–2013) in Flanders (the northern, Dutch-speaking part of Belgium), portrayals of ethnic minority and majority perpetrators are systematically compared to assess whether ethnic minorities are portrayed in a significantly more threatening way. Moreover, building on ethnic hierarchy theories, comparisons are made between various outgroups. Findings demonstrate that ethnic minority perpetrators are depicted in a more threatening manner: they are more likely to be associated with violent, property, and gang-related crime. Additionally, they are more likely to be anonymised and to be associated with explicit manifestations of threat. Group differences exist, however, as the most distant outgroup (i.e. North Africans) is covered in a more threatening way than the other outgroups. Implications for intergroup relations are discussed.
Design Elements that Promote the use of Fake Website Detection Tools

Fake websites have emerged as a major source of online fraud, accounting for billions of dollars of loss by Internet users. We explore the process by which salient design elements could increase the use of protective tools, thus reducing the success rate of fake websites. Using the protection motivation theory, we conceptualize a model to investigate how salient design elements of detection tools could influence users’ perceptions of the tools, efficacy in dealing with threats, and use of such tools. The research method was a controlled lab experiment with a novel and extensive experimental design and protocol. We found that trust in the detector is the pivotal coping mechanism in dealing with security threats and is a major conduit for transforming salient design elements into increased use. We also found that design elements have profound and unexpected impacts on self-efficacy. The significant theoretical and empirical implications of findings are discussed.
Impulse and Self-Control From a Dual-Systems Perspective

Though human beings embody a unique ability for planned behavior, they also often act impulsively. This insight may be important for the study of self-control situations in which people are torn between their long-term goals to restrain behavior and their immediate impulses that promise hedonic fulfillment. In the present article, we outline a dual-systems perspective of impulse and self-control and suggest a framework for the prediction of self-control outcomes. This framework combines three elements that, considered jointly, may enable a more precise prediction of self-control outcomes than they do when studied in isolation: impulsive precursors of behavior, reflective precursors, and situational or dispositional boundary conditions. The theoretical and practical utility of such an approach is demonstrated by drawing on recent evidence from several domains of self-control such as eating, drinking, and sexual behavior.
BENTHIC PROTECTION ZONE OF THE GREAT AUSTRALIAN BIGHT MARINE PARK

A cyclomethicone-based oil-free, non-stinging make-up remover is disclosed which is effective in removing both aqueous and waterproof make-up. A preferred composition comprises a major proportion of a cyclomethicone compound with a mixture of ester of a medium chain aliphatic alcohol being the benzoates and octanoates of primary alcohols having from 12 to 15 carbon atoms. A tri-alkyl citrate is an optional co-solvent.
Neural network-based event-triggered control design of nonlinear continuous-time systems with variable sampling

This paper focuses on a problem of event-based stabilization for a class of sampled-data neural-network-based control systems. By using a new discrete event-triggering mechanism, an event-based sampled-data three-layer fully connected feedforward neural-network-based controller is constructed. Compared with the conventional periodic sampled-data neural-network-based control in previous works, the main advantage of this paper is that the proposed event-based sampling and transmission scheme not only reduces the updating frequency of the controller, but also guarantees the asymptotical stability of the closed-loop system without dramatically degrading the overall system performance. Based on a discontinuous Lyapunov Krasovskii functional, a convex combination technique and the Wirtinger-based integral inequality, some new criteria are derived to guarantee the asymptotical stability and certain performance of closed-loop system in terms of linear matrix inequalities (LMIs). Based on the proposed criteria, a co-design method is presented to obtain the triggering parameter and the connection weights of the neural network simultaneously while ensuring a certain system performance. Finally, simulation results are provided to show the effectiveness and advantage of the proposed theoretical results.
Survey of Advanced Facial Feature Tracking and Facial Expression Recognition

2 Abstract: The facial tracking and recognition technology is used to improve the image and video quality and security purpose. The facial tracking and recognition technology is used to improve the facial expression. The facial expression is used to combine the action unit and give the expression. The six basic expressions having in our face that expression is (Surprise, Happy, Anger, etc). The new technology in facial activity the face we have to divide into three level top, bottom and middle level. The base level facial feature points more or less each facial component, i.e., eyebrow; mouth, etc., second middle level, facial action units, distinct in the faces. In the top level, six universal facial expressions represent the global facial muscle progress and are commonly used to describe the human feeling states. We are recognition the facial expression and check to the training data on neural database system and check expression and give the result. In this paper we discussed a "survey of Advanced Facial Feature Tracking and Facial Expression Recognition in image processing". This paper describes the major improvement in the Facial Feature Tracking and Facial Expression Recognition Techniques for advanced image processing Researches.
Calibration of geometric distortion in the ACS detectors

The off-axis location of the Advanced Camera for Surveys causes strong geometric distortion in all detectors -- the Wide Field Camera (WFC), High Resolution Camera (HRC), and Solar Blind Camera (SBC). Dithered observations of rich star cluster fields are used to calibrate the distortion. We describe the observations obtained, the algorithms used to perform the calibrations and the accuracy achieved. We present our best current calibration of the geometric distortion of each of the detectors.
Hsp74, a Potential Bladder Cancer Marker, Has Direct Interaction with Keratin 1

Early diagnosis and prognosis monitoring are very important for the survival of patients with bladder cancer. To identify candidate biomarkers of bladder cancer, we used a combination of techniques including 2-DE, co-IP, western blot, LC-MS/MS, and immunohistochemistry. Hsp74 was identified with high expression in bladder cancer. The cellular location of expression products of gene Hsp74 showed that they were distributed into cytoplasm and keratin 1 was found to be associated with Hsp74. The results provide a new idea to understand the molecular basis of bladder cancer progression and pinpoint new potential molecular target for early diagnosis and therapeutic monitoring of bladder cancer.
Stability control and pattern generation for biped humanoid robot

This paper describes stability control for a biped humanoid robot. The stability control consists of ZMP compensation control and inverted pendulum control for the robot to walk stably on the ground. The ZMP compensation control compensates the displacement of the waist according to ZMP, and the inverted pendulum control accelerates ZMP to the falling direction of the robot. Also, a whole motion pattern generation based on the preview control is developed. It enables the robot to walk with arm swings. According to the walking parameters, the angles of the whole body are calculated by inverse kinematics. In order to verify the effectiveness of the pattern generation and the control method, the simulation of the whole body motion is conducted by using Adams and MATLAB/Simulink.
Characterization of an Unintentional Wi-Fi Interference Device - the Residential Microwave Oven

Some devices not used for data communications radiate in the 2.4 GHz wireless-fidelity (Wi-Fi) band, thus causing unintentional interference that degrades the performance of IEEE 802.11 wireless systems. An analytical model for radio emissions from one of the most common unintentional interferers, the residential microwave oven, is developed from laboratory measurements. Simulation of the analytical model results in a power spectral density and spectrogram that are in good agreement with experimental data. An interference mitigation technique is proposed for the microwave oven emission
Effects of Increased CO2 on Fish Gill and Plasma Proteome

Ocean acidification and warming are both primarily caused by increased levels of atmospheric CO2, and marine organisms are exposed to these two stressors simultaneously. Although the effects of temperature on fish have been investigated over the last century, the long-term effects of moderate CO2 exposure and the combination of both stressors are almost entirely unknown. A proteomics approach was used to assess the adverse physiological and biochemical changes that may occur from the exposure to these two environmental stressors. We analysed gills and blood plasma of Atlantic halibut (Hippoglossus hippoglossus) exposed to temperatures of 12°C (control) and 18°C (impaired growth) in combination with control (400 µatm) or high-CO2 water (1000 µatm) for 14 weeks. The proteomic analysis was performed using two-dimensional gel electrophoresis (2DE) followed by Nanoflow LC-MS/MS using a LTQ-Orbitrap. The high-CO2 treatment induced the up-regulation of immune system-related proteins, as indicated by the up-regulation of the plasma proteins complement component C3 and fibrinogen β chain precursor in both temperature treatments. Changes in gill proteome in the high-CO2 (18°C) group were mostly related to increased energy metabolism proteins (ATP synthase, malate dehydrogenase, malate dehydrogenase thermostable, and fructose-1,6-bisphosphate aldolase), possibly coupled to a higher energy demand. Gills from fish exposed to high-CO2 at both temperature treatments showed changes in proteins associated with increased cellular turnover and apoptosis signalling (annexin 5, eukaryotic translation elongation factor 1γ, receptor for protein kinase C, and putative ribosomal protein S27). This study indicates that moderate CO2-driven acidification, alone and combined with high temperature, can elicit biochemical changes that may affect fish health.
Increased Adenosine Monophosphate–Activated Protein Kinase Activity in Rat Hearts With Pressure-Overload Hypertrophy

Background—Recent reports suggest that activation of adenosine monophosphate (AMP)–activated protein kinase (AMPK), in response to acute changes in cellular energy status in cardiac and skeletal muscles, results in altered substrate utilization. We hypothesized that chronic alterations in myocardial energetics in hypertrophied hearts (left ventricular hypertrophy, LVH) will lead to elevated AMPK activity, which in turn regulates substrate utilization. Methods and Results—Using 31P NMR spectroscopy and biochemical assays, we found that in LVH hearts, adenosine triphosphate (ATP) concentration decreased by 10%, phosphocreatine concentration decreased by 30%, and total creatine concentration was unchanged. Thus, the ratio of phosphocreatine/creatine decreased to one third of controls, and the ratio of AMP/ATP increased to 5 times above controls. These changes were associated with increased &agr;1 and &agr;2 AMPK activity (3.5- and 4.8-fold above controls, respectively). The increase in AMPK &agr;1 activity was accompanied by a 2-fold increase in &agr;1 expression, whereas &agr;2 expression was decreased by 30% in LVH. The basal rate of 2-deoxyglucose uptake increased by 3-fold in LVH, which was associated with an increased amount of glucose transporters present on the plasma membrane. Conclusions—These results demonstrate for the first time that chronic changes in myocardial energetics in hypertrophied hearts are accompanied by significant elevations in AMPK activity and isoform-specific alterations in AMPK expression. It also raises the possibility that AMPK signaling plays an important role in regulating substrate utilization in hypertrophied hearts.
Accelerating frequent item counting with FPGA

Frequent item counting is one of the most important operations in time series data mining algorithms, and the space saving algorithm is a widely used approach to solving this problem. With the rapid rising of data input speeds, the most challenging problem in frequent item counting is to meet the requirement of wire-speed processing. In this paper, we propose a streaming oriented PE-ring framework on FPGA for counting frequent items. Compared with the best existing FPGA implementation, our basic PE-ring framework saves 50% lookup table resources cost and achieves the same throughput in a more scalable way. Furthermore, we adopt SIMD-like cascaded filter for further performance improvements, which outperforms the previous work by up to 3.24 times in some data distributions.
Transcriptomic Analysis of Human Retinal Detachment Reveals Both Inflammatory Response and Photoreceptor Death

Background Retinal detachment often leads to a severe and permanent loss of vision and its therapeutic management remains to this day exclusively surgical. We have used surgical specimens to perform a differential analysis of the transcriptome of human retinal tissues following detachment in order to identify new potential pharmacological targets that could be used in combination with surgery to further improve final outcome. Methodology/Principal Findings Statistical analysis reveals major involvement of the immune response in the disease. Interestingly, using a novel approach relying on coordinated expression, the interindividual variation was monitored to unravel a second crucial aspect of the pathological process: the death of photoreceptor cells. Within the genes identified, the expression of the major histocompatibility complex I gene HLA-C enables diagnosis of the disease, while PKD2L1 and SLCO4A1 -which are both down-regulated- act synergistically to provide an estimate of the duration of the retinal detachment process. Our analysis thus reveals the two complementary cellular and molecular aspects linked to retinal detachment: an immune response and the degeneration of photoreceptor cells. We also reveal that the human specimens have a higher clinical value as compared to artificial models that point to IL6 and oxidative stress, not implicated in the surgical specimens studied here. Conclusions/Significance This systematic analysis confirmed the occurrence of both neurodegeneration and inflammation during retinal detachment, and further identifies precisely the modification of expression of the different genes implicated in these two phenomena. Our data henceforth give a new insight into the disease process and provide a rationale for therapeutic strategies aimed at limiting inflammation and photoreceptor damage associated with retinal detachment and, in turn, improving visual prognosis after retinal surgery.
Exchange Rate Arrangements , Economic Policy and Inflation : Empirical Evidence for Latin America

There is an ongoing debate on the question of which exchange rate regime is better suited to guarantee stability: fixed or flexible rates? The macroeconomic crisis in Argentina has again stimulated the discussion. In this paper, we argue that it is misleading to solely concentrate on exchange rate policy to assess the preconditions for stability in an international surrounding. Instead, we show that the exchange rate regime and the institutional setting have to be compatible to increase the exchange rate regime’s credibility and to help with achieving stability. This hypothesis is empirically tested for Latin America countries. We cannot reject it. Dr. Andreas Freytag Associate Professor University of Cologne Robert-Koch-Str. 41, D-50931 Cologne Phone: ++49 221 470-4879, Fax: ++49 221 470-5187, e-mail: andreas.freytag@uni-koeln.de. * Study carried out for the OECD Development Centre. Thanks are due to Ken Kuttner and Adam Posen for letting me share their data on exchange rate regimes, central bank autonomy and policy targets. I also acknowledge helpful comments on earlier versions by Jens Clausen, Bernd Hayo, Philipp Paulus, Helmut Reisen, Friedrich Sell, Ralph Setzer, Peter Tillmann as well as the participants of economic workshops at the Ruhr-University in Bochum, the University of Göttingen, the University of Tartu, BoFIT, the Austrian National Bank (OeNB) and the Annual Public Choice Society Meeting in San Diego, March 22-24, 2002.
Support Vector Machines as Acoustic Models in Speech Recognition

Speech recognition is usually based on Hidden Markov Models (HMMs), which represent the temporal dynamics of speech very efficiently, and Gaussian mixture models, which do non-optimally the classification (acoustic modeling) of speech into single speech units (phonemes). In this paper we present an overview about the use of Support Vector Machines (SVMs) for the classification task by integrating SVMs in a HMM-based speech recognition system. SVMs are very appealing due to their association with statistical learning theory and have already shown good results in pattern recognition. In our hybrid SVM/HMM system we use SVMs as acoustic models in a HMM-based decoder. We train and test the hybrid system on the DARPA Resource Management (RM1) corpus, showing better performance than HMM-based decoder using Gaussian mixtures. To reduce the effort for training of the SVMs, we also use mixtures of SVMs which scales nearly linearly with respect to the number of training vectors making it easier to deal with the large amount of speech data.
Self-Arousal, Dissipation of Anger, and Aggression

the amount of subsequent aggression. However, the overly broad definition of &dquo;expression of aggression&dquo; (based on the work of Dollard _et _al., 1939), which includes, for example, observation of aggressive activity, attacks on inanimate targets, and physical exercise, has led to frequent disconfirmations of the revised hypothesis also (e.g,., Doob & Climie, 1972; Mallick & McCandless, 1966; Zillmann et _al., 1972). Nevertheless, it seems that decreases in the amount of subsequent aggression do occur when angered people are given the opportunity to hurt their annoyer in the interpolated period (e.~., Doob & Wood, 1972; Konecni &. Doob, 1972). In some conditions of the Koneeni & Doob (1972) study, subjects (Ss) who had been annoyed or not annoyed by a confederate (C) either gave this person 14 &dquo;electric shocks&dquo; or waited alone, prior to the dependent measure of aggression (shocks and libitum to C). An interaction was obtained, such that angered people who waited in the interpolated period subsequently gave _C more shocks than the angered shock-giving group did, while the latter group did not differ from control conditions of nonangered sis. Thus, hurting the annoyer decreased the amount of future aggression to the level expressed by nonannoyed people, in comparison to not hurting him. However, Bandura (1973, pp. 150-152) has argued that waiting was not an appropriate control for expression of aggression, because idle ss had the time to ruminate about the preceding annoying incident, and thus maintained their anger at a high level. Shock-giving ss, on the other hand, were kept busy by the task (as part of which shocks were given), and their anger dissipated due to the action of homeostatic processes. In this view, hurting the annoyer was not essential for the amount of subsequent aggression to be reduced: shock-giving, like any other absorbing task, merely made possible the time-linked dissipation of anger by reducing the likelihood of self-arousing thoughts. The present experiment incorporated the critical cells of the Konecni & Doob (1972) study into a larger design which permitted the evaluation of the self-arousal and dissipation-of-anger concepts.
A Scheme of Detection and Prevention Rogue AP using Comparison Security Condition of AP

Rogue Access Points (RAPs) cause serious security threats to wireless networks. To detect RAPs, we propose a novel user-oriented framework based on security condition. AP’s security condition which includes cipher and authentication type has been specified by the vendors. So it is difficult to be faked when authentication type is specified as IEEE 802.1X by the vendors. Authorized APs’ SSID and security level have stored in database, and by comparing this information we can determine whether an AP is a rogue one or not. Furthermore, we provide users with optional secure channel. The experimental results show that the proposed framework can work efficiently. Keywords-Rogue AP (RAP), WLAN Security, Wireless Intrusion Detection; Wireless Monitoring; Secure Wireless Channel
A time-stamp based solution for collective resource acquisition in a distributed system

In some distributed systems, resources are leased, usually for a fixed period of time. For instance, a client leases a network printer for ten minutes. We consider the first step of leasing-acquisition, and extend the concept of the acquisition of a single resource to that of a collection of resources. In such a context, clients must have simultaneous access to all of the requested resources for the lease to be useful. The paper describes designs and implementations for collective acquisition of resources in distributed systems. It begins with the application background of our research, followed by the formalization of the problem. We then introduce our algorithm and prove its correctness. Two implementations are specified and compared. Evaluation of the performance of the algorithms is based on the measurements of the network overhead caused by the exchange of control messages, and the measurements of the average response time for the requests. Implemented in Java, our system makes novel use of multicast to enhance performance and uses heart-beat heuristics to achieve fault resilience. Finally, we propose approaches to optimize the system performance exploiting soft global state information.