Miracle-dz/UniFAR-FTUs huggingface dataset:
Word Pair Convolutional Model for Happy Moment Classification

We propose the Word Pair Convolutional Model (WoPCoM) for the CL-Aff 19 shared task at the AAAI-19 Workshop on Affective Content Analysis. The challenge is the classification of speaker-described happy moments as social events and/or activities in which they have agency. WoPCoM leverages the regular structure of language on an architectural level in a way that recurrent models cannot easily answer, by learning convolutional word pair features that capture the important intraand inter-phrasal relationships in a sentence. It performs with an average accuracy of 91.45% predicting the social label and 86.49% predicting the agency label assessed on a 10-fold cross validation. This represents a performance improvement of 0.92% for predicting the social label, but only 0.04% on predicting the agency label, over a simpler deep LSTM baseline. In spite of similar performance on these metrics, WoPCoM demonstrates desirable results when other metrics such as training time, model-intermediate class separation, and overfitting propensity are considered, warranting further study.
STAR–JET INTERACTIONS AND GAMMA-RAY OUTBURSTS FROM 3C454.3

We propose a model to explain the ultra-bright GeV gamma-ray flares observed from the blazar 3C454.3. The model is based on the concept of a relativistic jet interacting with compact gas condensations produced when a star (a red giant) crosses the jet close to the central black hole. The study includes an analytical treatment of the evolution of the envelope lost by the star within the jet, and calculations of the related high-energy radiation. The model readily explains the day-long that varies on timescales of hours, GeV gamma-ray flare from 3C454.3, observed during 2010 November on top of a plateau lasting weeks. In the proposed scenario, the plateau state is caused by a strong wind generated by the heating of the stellar atmosphere due to nonthermal particles accelerated at the jet–star interaction region. The flare itself could be produced by a few clouds of matter lost by the red giant after the initial impact of the jet. In the framework of the proposed scenario, the observations constrain the key model parameters of the source, including the mass of the central black hole: MBH ≃ 109 M☉, the total jet power: Lj ≃ 1048 erg s−1, and the Doppler factor of the gamma-ray emitting clouds: δ ≃ 20. Whereas we do not specify the particle acceleration mechanisms, the potential gamma-ray production processes are discussed and compared in the context of the proposed model. We argue that synchrotron radiation of protons has certain advantages compared to other radiation channels of directlyaccelerated electrons. An injected proton distribution ∝E−1 or harder below the relevant energies would be favored to alleviate the tight energetic constraints and to avoid the violation of the observational low-energy constraints.
The Mediating Role of CSR on the Market Orientation and Strategic Performance Relationship—A Study of the Public Housing Companies in Sweden

This article serves to analyze the impact of corporate social responsibility (CSR) on (1) the market orientation and strategic performance relationship related to public housing companies’ choice of construction strategies and (2) the companies’ responsiveness to gathered and disseminated customer information. The quantitative method is applied, with data analyzed by the PROCESS analysis. The result is based on a survey sent to 289 public housing companies in Sweden. Previous research suggests a positive relationship between market orientation and strategic performance, which was not confirmed by this study. When testing the mediation effects of CSR on the market orientation and construction strategies relationship, these hypotheses were confirmed related to social and environmental dimensions—not economic ones. This study was limited to public housing companies, a sector that radically differs from the situation of companies in the open market. The study increases public housing companies’ knowledge of CSR effects on the market orientation and strategic performance relationship. This result contributes useful information for companies implementing CSR in their activities. The study highlights the importance of integrating CSR into an organization’s market orientation work and shows how CSR improves the companies’ ability to meet customers’ strategic needs.
Mental Health Nurses Experience in Assessing the Early Detection Emergency Psychiatric of Adult in Emergency Department: A Phenomenology Study

The purpose of this study was to identify the assessment of early detection of emergencies in adult mental patients in Magelang Mental Hospital, Central Java, Indonesia. This qualitative study was conducted from December to May 2019 at Prof. Mental Hospital Dr. Soeroyo Magelang, Central Java, Indonesia. We selected a total of 11 study participants for in-depth interviews. We conducted a content analysis technique by verbatim transcripts of interviews using open code software. This study produced four categories of early detection assessments of emergencies in adult mental patients in the Mental Emergency Unit namely psychological responses, physiological responses, limitations on psychiatric emergency assessments, and HR quality improvement and documentation systems. Some nurses found it difficult to carry out early detection of psychiatric emergencies, given the confusing symptoms and differences in perceptions of assessment and how to assess the instruments already in the hospital. In addition, many documentation systems also became obstacles in the assessment of early detection of emergency adult mental patients at the Mental Hospital. Apart from the system of handling emergencies, especially in terms of the assessment or early detection of standardized emergencies, another problem is the form of an early detection assessment instrument that varies with many items and creates different perceptions. Based on this, an innovative approach is needed to develop an instrument for assessing the early detection of emergency mental disorders that can accommodate the symptoms caused. In addition, the duties of nurses and documentation systems need to be evaluated and oriented.
What Constitutes Happiness? Predicting and Characterizing the Ingredients of Happiness Using Emotion Intensity Analysis

This paper explores the use of emotion intensity analysis in predicting and understanding the ingredients of happiness as expressed in text. We show that by using just the five dimensions of emotion intensity features (i.e., joy, anger, fear, sadness and overall valence), we can achieve good accuracies in classifying agency (i.e., whether or not the author of the happy moment is in control) (ACC=73.8%, AUC=.579, F1=.849) and in classifying social (i.e., whether or not the happy moment involves other people) (ACC=60.3%, AUC=.637, F1=.603). By integrating emotion intensity with sentiment, linguistics, demographics, concepts, and word embedding features, our final hybrid model performed significantly better for agency (ACC=83.5%, AUC=.887, F1=.893) and for social (ACC=90.3%, AUC=.959, F1=.907) predictions. Furthermore, we uncovered interesting patterns in how emotion intensities characterized happiness expressions across the various concepts (e.g., family, food, career, animals), between the two reflection periods (24 hours vs. 3 months), and across seven user-generated content corpora sources (HappyDB vs. MySpace, Runners World, Twitter, Digg, BBC and YouTube).
Does Being Verified Make You More Credible?: Account Verification's Effect on Tweet Credibility

Many popular social networking and microblogging sites support verified accounts---user accounts that are deemed of public interest and whose owners have been authenticated by the site. Importantly, the content of messages contributed by verified account owners is not verified. Such messages may be factually correct, or not. This paper investigates whether users confuse authenticity with credibility by posing the question: Are users more likely to believe content from verified accounts than from non-verified accounts? We conduct two online studies, a year apart, with 748 and 2041 participants respectively, to assess how the presence or absence of verified account indicators influences users' perceptions of tweets. Surprisingly, across both studies, we find that---in the context of unfamiliar accounts---most users can effectively distinguish between authenticity and credibility. The presence or absence of an authenticity indicator has no significant effect on willingness to share a tweet or take action based on its contents.
Phase-Reduction Approach to Synchronization of Spatiotemporal Rhythms in Reaction-Diffusion Systems

Reaction-diffusion systems can describe a wide class of rhythmic spatiotemporal patterns observed in chemical and biological systems, such as circulating pulses on a ring, oscillating spots, target waves, and rotating spirals. These rhythmic dynamics can be considered limit cycles of reaction-diffusion systems. However, the conventional phase-reduction theory, which provides a simple unified framework for analyzing synchronization properties of limit-cycle oscillators subjected to weak forcing, has mostly been restricted to low-dimensional dynamical systems. Here, we develop a phase-reduction theory for stable limit-cycle solutions of infinite-dimensional reaction-diffusion systems. By generalizing the notion of isochrons to functional space, the phase sensitivity function - a fundamental quantity for phase reduction - is derived. For illustration, several rhythmic dynamics of the FitzHugh-Nagumo model of excitable media are considered. Nontrivial phase response properties and synchronization dynamics are revealed, reflecting their complex spatiotemporal organization. Our theory will provide a general basis for the analysis and control of spatiotemporal rhythms in various reaction-diffusion systems.
Post high-level :-Helming decision Actuator driver :-Sail servo-Rudder servo Tack

To move upwind, sailing vessels have to cross the wind by tacking. During this manoeuvre distance made good may be lost and especially smaller vessels may struggle to complete a tack in averse wind and wave conditions. A decision for the best tack manoeuvre needs to be made based on weather and available tack implementations. This paper develops an adaptive probabilistic tack manoeuvre decision method. The order of attempting different tacking strategies is based on previous success within a timeout, combined with an exploration component. This method is successfully demonstrated on the 1m long sailing vessel Black Python. Four strategies for crossing the wind were evaluated through adaptive probabilistic choices, and the best was identified without detailed sensory knowledge of the actual weather conditions. Based on the positive results, further improvements for a better selection process are suggested and the potential of using the collected data to recognise the impact of weather conditions on tacking efforts is recognised. Copyright c © by the paper’s authors. Copying permitted for private and academic purposes. In: S. M. Schillai, N. Townsend (eds.): Proceedings of the International Robotic Sailing Conference 2018, Southampton, United Kingdom, 31-08-2018 ar X iv :1 90 3. 06 67 7v 1 [ cs . R O ] 1 5 M ar 2 01 9
Are our Educational Technology Systems Secured ?

The use of information and communication technology is an essential part of any contemporary higher-level educational system. Web applications that are accessed via web browsers over a network such as Internet or intranet are dominant in almost all education systems, such as universities, training, and research institutions. In particular, web based systems are used as informative or interactive web pages. Since these web pages contain critical information, securing educational systems is as important as securing any banking system. It has been noticed that some academic institutions have not fully secured their web pages against some class of vulnerabilities. In this empirical study, we elaborate these vulnerabilities and show their existence in the web sites of one of the academic institutions and describe the tools, techniques and results of our experiments.
The moderating role of Shariah supervisory board on the relationship between board effectiveness, operational risk transparency and bank performance

The purpose of this study is to determine the effect of board effectiveness (BE) on financial performance and operational risk (OR) disclosure and the interaction effect of a bank’s Sharia Supervisory Board quality (SSB) with religious and ethical principles. ,The data were collected from the annual financial reports of 25 Islamic banks (IBs) in the Gulf Cooperation Council countries over 2008-2017. The OR disclosure, the SSB quality and BE were measured using self-developed indices. The Tawhidi string relation methodology was used to establish the circular causal model. The moderating effect of the SSB quality on the performance, OR disclosure and board structure relationship was examined using the hierarchical regression analysis. ,The main finding of this study is related to the positive moderating effect of SSB quality on the relationship between performance, OR disclosure and BE. This result seems to indicate that at a high level of SSB quality, even when the performance increase the IBs engage in complying with OR disclosure to inform the stakeholders on the real situation of the bank. ,The finding of this research would be of great support to stakeholders and policymakers to make more pressure on IBs to improve the quality of their SSB structure and show more compliance with the governance recommendations. As an extension to this research, further study can examine other Islamic governance mechanisms such as Sharīʿah-compliant banks. ,The present study provides a new addition to the prior literature by investigating the relationship between performance, BE, OR disclosure and the interaction effect of SSB quality. From an Islamic ethical, this research can also contribute to the growing discussion on SSB quality and performance.
Design and Implementation of Virtual TAP for SDN-based OpenStack Networking

Currently, virtualization technology that enables a data center to efficiently use server resources is promising as cloud services are being prevalent with increasing traffic volumes and requirements for service quality. vTAP (Virtual Test Access Port), we propose in this work, can overcome the problem that existing hardware TAP devices cannot be used in duplicating inter-VM (Virtual Machine) packets being transmitted over virtual links. vTAP can be implemented using a virtual switch that provides network connectivity to VMs by switching packets over the virtual links. Port mirroring, or SPAN (Switched Port Analyzer), that is available in some software switches can be a naive solution but using it in a system that needs to treat a large volume of network traffic implies performance degradation in packet switching and error-prone manual configuration. In this work, we describe the design and detailed considerations on our OpenFlow-based vTAP implementation. It is based on Open vSwitch and ONOS (Open Network Operating System) SDN (Software-Defined Networking) controller to enable packet-level traffic monitoring in OpenStack environment. We also present the performance evaluation on our vTAP used in some network monitoring cases, with packet processing acceleration by DPDK (Data Plane Development Kit).
Living Face Verification via Multi-CNNs

In face verification applications, precision rate and identifying liveness are two key factors. Traditionalmethods usually recognize global faces and can not gain good enough results when the faces are captured from different ages, or there are some interference factors, such as facial shade, etc. Besides, the false face attack will pose a great security risk. To solve the above problems, this study examines how to achieve reliable living face verification based on Multi-CNNs (convolutional neural networks) and Bayes probability. Participants are required to make several expressions in random orders and contents, to ensure their liveness. Then, an effective component-based method is proposed for face recognition, and synthesized multiple CNNs can help reflecting intensities of different components. Eventually, the similarity between faces is calculated by integrating the results of each CNN, with the help of Bayes probability. Comparative experiments demonstrate that our algorithm outperforms traditional methods in face recognition accuracy. Moreover, our algorithm has unique preponderance in that it can verify the liveness of users, which can achieve higher security. © 2019 The Authors. Published by Atlantis Press SARL. This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).
GLS and GLSSe ultrafast laser inscribed waveguides for mid-IR supercontinuum generation

Using the ultrafast laser inscription technique, buried channel waveguides have been fabricated in gallium lanthanum sulfide and gallium lanthanum sulfide selenide glasses to demonstrate the suitability of the materials for supercontinuum generation in the mid-IR. Supercontinuum generation was performed using 100 femtosecond pump pulses with micro-Joule pulse energies and a center wavelength of 4.6 µm, which is in the anomalous dispersion regime for these waveguides. Under such pump conditions, supercontinuum was obtained covering a 25-dB-bandwidth of up to 6.1 um with a long-wavelength edge of 8 µm. To our knowledge, this represents the broadest and the longest-wavelength IR supercontinuum generated from an ultrafast laser inscribed waveguide to date.
pLoc_Deep-mPlant: Predict Subcellular Localization of Plant Proteins by Deep Learning

Current coronavirus pandemic has endangered mankind life. The reported cases are increasing exponentially. Information of plant protein subcellular localization can provide useful clues to develop antiviral drugs. To cope with such a catastrophe, a CNN based plant protein subcellular localization predictor called “pLoc_Deep-mPlant” was developed. The predictor is particularly useful in dealing with the multi-sites systems in which some proteins may simultaneously occur in two or more different organelles that are the current focus of pharmaceutical industry. The global absolute true rate achieved by the new predictor is over 95% and its local accuracy is about 90% - 100%. Both have substantially exceeded the other existing state-of-the-art predictors. To maximize the convenience for most experimental scientists, a user-friendly web-server for the new predictor has been established at http://www.jci-bioinfo.cn/pLoc_Deep-mPlant/, by which the majority of experimental scientists can easily obtain their desired data without the need to go through the mathematical details.
Robust Anomaly Detection for Vision-Based Inspection of Railway Components

The Computer Vision Laboratory at the University of Maryland has completed a two-year research project in which it developed a library of tools and algorithms that are used to inspect railway tracks with machine vision technology. This technology has been integrated into a distributed computing framework and a user-friendly review package with a client-server interface. This framework is built on top of high-quality open-source C++ software libraries and can run on many different platforms, including Windows, Linux, OS X, and iOS. The software has been thoroughly tested and ENSCO, Incorporated has successfully used these tools during the Federal Railroad Administration (FRA)-sponsored project that evaluated the degradation rates of concrete ties on Amtrak’s Northeast Corridor. The final deliverable contains algorithms for crack detection, fastener detection and classification, as well as semantic segmentation for material classification and anomaly detection.
An Assessment of Entrepreneurship Intention Among Sunyani Polytechnic Marketing Students

The aim of the paper is to assess the entrepreneurial intention among the students of Sunyani Polytechnic, and also to determine the motivators, and obstacles to entrepreneurial intentions. The study is based on quantitative exploratory survey design. The sample size for the study is 136 comprising of 94 males and 42 females, who were selected by convenient sample method. Primary data were obtained using self designed questionnaire which were administered by the researchers. Data were analysed using percentages, One-way ANOVA. Results indicated that there is high entrepreneurial intention among the respondents. It was also revealed that there are important motivators for intention as well as obstacles to setting up ones firm. The finding again indicated that demographic variables such as gender, age, religion affect responses given by respondents. It is recommended that, future research must be done in the public and private universities to provide support for these findings and also entrepreneurial education must be introduced into the tertiary institutions which are not currently offering entrepreneurship courses.
Nephrology Dialysis Transplantation Role of polyol pathway in nonenzymatic glycation

In order to confirm the link between nonenzymatic glycation and the polyol pathway, we observed the effect of treatment with epalrestat (Ep), an aldose reductase inhibitor, on the concentration of advanced glycation end-products (AGEs) in erythrocytes from diabetic patients. We also examined the effect of the drug on erythrocyte fructose 3-phosphate (F3P), a novel metabolite that has been reported to relate to the polyol pathway, and ascertained the glycation capability of F3P and its possible breakdown product, 3-deoxyglucosone (3DG), by incubating the metabolites with bovine serum albumin (BSA). Incubation of BSA with F3P or 3DG resulted in a greater production of AGEs in comparison with the incubation with glucose or fructose. F3P was significantly increased in erythrocytes from diabetic patients compared with those from nondiabetic individuals and was lower in patients who had been treated with Ep than in those who were free from the compound. A treatment of patients with Ep for 1 month resulted in a significant decrease in F3P. Erythrocyte AGEs were significantly elevated in diabetic patients compared with nondiabetic individuals and tended to be lower in patients taking Ep than in those without Ep. Administration of Ep for 2 months decreased AGEs. These results show that the polyol pathway is likely to play a substantial role in the nonenzymatic glycation of proteins and the suppression of E3P as well as AGEs by an aldose reductase inhibitor may explain in part the preventive effect of the drug on diabetic complications.
Nonequilibrium quark production in the expanding QCD plasma

We perform real-time lattice simulations of nonequilibrium quark production in the longitudinally expanding QCD plasma. Starting from a highly occupied gluonic state with vacuum quark sector, we extract the time evolution of quark and gluon number densities per unit transverse area and rapidity. The total quark number shows after an initial rapid increase an almost linear growth with time. Remarkably, this growth rate appears to be consistent with a simple kinetic theory estimate involving only two-to-two scattering processes in small-angle approximation. This extends previous findings about the role of two-to-two scatterings for purely gluonic dynamics in accordance with the early stages of the bottom-up thermalization scenario.