Miracle-dz/UniFAR-FTUs huggingface dataset:
Generating Domain-Specific Ontology from Common-Sense Semantic Network for Target-Specific Sentiment Analysis

Target or feature specific sentiment classification of a product review consists of extracting opinion or sentiment expressing phrases, extracting the targets (features in a product domain), computing the semantic orientation of the sentiment expressing phrase and assigning the sentiment expression to the product feature it targets. Each of the tasks is fundamental to the problem of target-specific sentiment analysis. In this paper, we present an algorithm to automatically build a domain-specific ontology (a graph consisting of product features and semantic relations between them) which can be used as a lexical resource for performing target-specific sentiment analysis in real-time. We use ConceptNet (a large semantic network of commonsense knowledge) for extracting domain-specific ontology. We evaluate our approach on publicly available preannotated dataset from phone and camera domain. The advantages of our approach are that it uses a resource which is created by volunteers on the Internet and not by trained or specialized knowledge engineers. Another advantage is the product feature lexicon that is created is in the form of semantically rich domain ontology rather than a flat list of phrases. We investigate the usefulness of commonsense knowledge for generating domainspecific ontology for feature extraction task in sentiment analysis application and conclude that the ap-
IEEE 802.11e - fair resource sharing between overlapping basic service sets

The upcoming IEEE 802.11e is an extension of the 802.11 wireless local area network (WLAN) standard. We use this new standard with its priority provisioning mechanism to address fairness issues that occur when geographically co-located WLANs share the radio channel in the so-called overlapping basic service set environment. By allowing a new mechanism that is part of the 802.11e, called EDCF-TXOP bursting, we show that WLANs will gain from intelligent radio resource control in a fair manner. A WLAN that applies EDCF-TXOP bursting can significantly improve its performance compared to a WLAN that does not utilize EDCF-TXOP bursting.
Multi-Period Sourcing Strategy Under Demand and Supply Uncertainty With Two Suppliers

Number: 025-0871 Abstract Title: Multi-Period Sourcing Strategy Under Demand and Supply Uncertainty With Two Suppliers Author 1: Shantanu Shankar Bagchi (Author for correspondence) Research Scholar, Department of Operations and IT, IBS, Hyderabad, India. Email: shan.shaan@gmail.com Author 2: Dr. P. Sundararaghavan Professor, IOTM Department, University of Toledo. Email: p.sundararaghavan@utoledo.edu
iPanda: A comprehensive malware analysis tool

Malware analysis is the process of dissecting a given malware sample in order to determine its purpose and functionality. It is a necessary step to develop effective detection techniques of malicious code and removal tools. The public malware analysis systems are major sources for a user to understand a malware sample. However analysis reports of those analysis systems only include what operation system resources created or accessed by the submitted malware sample, which is insufficient for a malware analyst, who expects a comprehensive analysis report. In this paper, we present iPanda, an analysts oriented comprehensive malware analysis tool. Several prevalent static and dynamic malware analysis techniques, such as detection of evading analysis techniques used by malware authors, information flow tracking, functional code fragments identifying, network behavior analysis, etc., are implemented complementarily in iPanda so that it allows a comprehensive analysis of malware to generate an analysis report including structure profile and behavior profile of the samples. The results are paramount valuable for malware analysts to perform malware detection and containment.
Assessment of Software Interfaces using a Usability Evaluation Based Software Model

The usability evaluation of the software interfaces is one of the prominent concepts in Human Computer Interaction (HCI). In order to increase the usability, the design of software interfaces becomes an important task for HCI experts. This paper describes a new HCI based software development approach called the Usability Evaluation based Model (UEM). The UEM consists of five processes that help Software Engineers work with HCI experts from the beginning until the deployment of the software. However, this model not only bridges the gap between the SE and HCI experts, but it also links the AI experts to make the development process more intelligent. One of the processes in the UEM is the Cognitive Analysis of the Software Interfaces (CASI). CASI is an expert system that helps designers and software developers to evaluate software prototypes in an intelligent way based on user perception and evaluation rules. This paper also presents a case study on the development of the university online classroom booking system. The system was built using the UEM. The results mentioned in this paper show that with the help of the UEM, more usability problems in the software interfaces can be detected. Hence, enhancing the usability of the software interfaces by an automated UEM is feasible. Index Term-Cognitive Science, Software Interface, Software Engineering, Artificial Intelligence, Expert System, Usability Evaluation, Usability Engineering, User Interface, Interaction User Prototyping, Human Computer Interaction, Cognitive Analysis of Software Interface .
Doppler and pathloss characterization for vehicle-to-vehicle communications at 5.8 GHz

Due to significant increase in vehicular accident and traffic congestions, vehicle to vehicle (V2V) communication based on the intelligent transport system (ITS) was introduced aiming to significantly reduce vehicular accident and traffic congestion. However, to carry out efficient design and implementation of a reliable vehicular communication systems, a deep knowledge of the propagation channel characteristics in different environments is crucial, in particular the Doppler and pathloss parameters. This paper presents an empirical V2V channel characterization and measurement performed under realistic urban, suburban and highway driving conditions in Brisbane, Australia. Based on Lin Cheng statistical Doppler Model (LCDM), values for the RMS Doppler spread and coherence time due to time selective nature of V2V channels are presented. Also, based on log-distance power law model, values for the mean pathloss exponent and the standard deviation of shadowing were reported for urban, suburban and highway environments. The V2V channel parameters can be useful to system designers for the purpose of evaluating, simulating and developing new protocols and systems.
Analysis of prosodic and linguistic cues of phrase finals for turn-taking and dialog acts

This paper presents an analysis on the functions carried by phrase final tones in turn-taking and dialog acts, taking into account linguistic information about the part of speech (particles and auxiliary verbs) attributed to the morphemes at phrase finals. Natural conversational speech data are segmented in inter-pause units, and each utterance unit is arranged according to the phrase final morphemes. Turntaking functions are annotated, and tones of each phrase final are described by acoustic-prosodic features. Analysis results show a relationship between tones and turn-taking functions in most of the morphemes, while no clear relationship is found in some classes of morphemes which are final particles.
Finding approximate separators and computing tree width quickly

We show that for any fixed <italic>k</italic>, there is a linear-time algorithm which given a graph <italic>G</italic> either: (i) finds a cutset <italic>X</italic> of <italic>G</italic> with |<italic>X</italic>| ≤ <italic>k</italic> such that no component of <italic>G</italic>–<italic>X</italic> contains more than 3/4|<italic>G</italic>–<italic>X</italic>| vertices, or (ii) determines that for any set <italic>X</italic> of vertices of <italic>G</italic> with |<italic>X</italic>| ≤ <italic>k</italic>, there is a component of <italic>G</italic>–<italic>X</italic> which contains more than 2/3|<italic>G</italic>–<italic>X</italic>| vertices. This approximate separator algorithm can be used to develop and <italic>O</italic>(<italic>n</italic> log <italic>n</italic> algorithm for determining if <italic>G</italic> has a tree decomposition of width at most <italic>k</italic> (for fixed <italic>k</italic>) and finding such a tree decomposition if it exists.
Value of C-Reactive Protein in Predicting Left Ventricular Remodelling in Patients with a First ST-Segment Elevation Myocardial Infarction

Objective. To assess the value of C-reactive protein (CRP) in predicting postinfarct left ventricular remodelling (LVR). Methods. We measured in-hospital plasma CRP concentrations in patients with a first ST-segment elevation myocardial infarction (STEMI). Results. LVR was present at 6 months in 27.8% of 198 patients. CRP concentration rose during the first 24 h, mainly in LVR group. The prevalence of LVR was higher in patients from the highest quartile of CRP concentrations at 24 h as compared to those from any other quartile (odds ratio (OR) 3.48, 95% confidence interval (95% CI) 1.76–6.88). Multivariate analysis identified CRP concentration at 24 h (OR for a 10 mg/L increase 1.29, 95% CI 1.04–1.60), B-type natriuretic peptide at discharge (OR for a 100 pg/mL increase 1.21, 95% CI 1.05–1.39), body mass index (OR for a 1 kg/m2 increase 1.10, 95% CI 1.01–1.21), and left ventricular end-diastolic volume (OR for a 1 mL increase 0.98, 95% CI 0.96-0.99) as independent predictors of LVR. The ROC analysis revealed a limited discriminative value of CRP (area under the curve 0.61; 95% CI 0.54–0.68) in terms of LVR prediction. Conclusions. Measurement of CRP concentration at 24 h after admission possesses a significant but modest value in predicting LVR after a first STEMI.
On Planning to Plan: Metaplanning Concepts in the Context of Management Science Modeling

It is in general obvious—both in ordinary reasoning and in machine-based reasoning—why we need to plan. Goals are before us and we need to figure out a means for achieving them. Prototypically, we can think of these means as a series of steps—or transformations represented by operators—for converting an existing state to a desired goal state, while attending to constraints and assumptions about the real world. The planning problem, at a very high level of abstraction, is then the problem of finding the best sequence of operators for converting a given start state to a given goal state. Details, of course, matter greatly and the planning literature for machinebased reasoning, to which this essay aims to contribute, is large and active (cf., [11] for a recent compendium of papers). But our interest here lies nearby, in the problem of planning to plan, or metaplanning, which is widely regarded as much underepxlored subject. Nearly as obvious as why we need to plan is why we need to metaplan. We need to plan and are faced with a number of planners relevant to various subplanning problems, which (sub)planners need to be directed and coordinated. Our purpose in this paper is to begin to present and explore the concept of metaplanning. The subject is a huge one and can hardly be encompassed in an initial, avowedly exploratory, paper. But such a paper can serve as a useful beginning. Our (meta? ) plan in that regard is as follows. In x2 we present and begin to explore the notion of metaplanning, and the requirements for it, in general. Then, in x3 we develop an example—management science modeling in the logistics domain—for which metaplanning is appropriate and promising, and in
A Pilot Study Evaluating the Effectiveness of Platelet-Rich Plasma Therapy for Treating Degenerative Tendinopathies: A Randomized Control Trial with Synchronous Observational Cohort

Objective This pilot study aimed to inform future research evaluating the effectiveness of Platelet Rich Plasma (PRP) injection for tendinopathy. Design Randomized control trial (RCT) and synchronous observational cohort studies. For the RCT, consecutive consenting patients treated at an academic sports medicine clinic were randomly assigned to either a PRP or placebo control group. Setting The Glen Sather Sport Medicine Clinic, Edmonton, Canada. Patients The RCT included 9 participants with rotator cuff tendinopathy. The cohort study included 178 participants with a variety of tendinopathies. Interventions Patients receiving PRP were injected with 4 ml of platelets into the supraspinatus and/or infraspinatus, while patients in the placebo group were injected with 4ml of saline. All participants undertook a 3-month standardized, home-based, daily exercise program. Main Outcome Measures Participants in the RCT were re-evaluated 3, and 6 months post-injection. Change scores before and after injection on pain, disability and MRI-documented pathology outcomes were compared. In the cohort study, pain and disability were measured at 1, 2 and 3 months post-injection. Results For the RCT, 7 participants received PRP and 2 received placebo injections. Patients receiving PRP reported clinically important improvements in pain (>1.5/10 on VAS), disability (>15 point DASH change), and tendon pathology while those receiving placebo injections did not. In the observational cohort, statistically and clinically significant improvements in pain and disability were observed. Conclusion This pilot study provides information for planning future studies of PRP effectiveness. Preliminary results indicate intratendinous, ultrasound-guided PRP injection may lead to improvements in pain, function, and MRI-documented tendon pathology. Trial Registration Controlled-Trials.com ISRCTN68341698
MANUFACTURING PROACTIVENESS AND PERFORMANCE

At least since Skinner's [40] landmark article depicting the manufacturing function as the"missing link" in corporate strategic processes, a portion of the blame for inferior performance inmany firms has been attributed to the subordinate strategic position of manufacturing. Further, ithas been argued by many that part of the solution to misalignments between the capabilitiespossessed by manufacturing and the requirements dictated by customers is for manufacturing totake a more proactive stance. However, little research has been reported which examinesmanufacturing proactiveness empirically. In this paper, we address this gap by developing anoperational definition of manufacturing proactiveness and testing empirically whether a linkexists between proactiveness and performance based on data collected from a sample ofmanufacturers.Based on the manufacturing strategy literature, we identify two major dimensions ofmanufacturing proactiveness: (1) the degree of manufacturing's involvement in the strategicprocesses of the business unit; and (2) the degree of commitment to a long-term program ofinvestments in manufacturing structure and infrastructure aimed at building capabilities inanticipation of their need. We develop reliable scales for measuring each of the dimensions ofproactiveness and use the data to provide evidence of a clear link between manufacturingproactiveness and business performance. In addition, this study shows that investments instructural programs coupled with either high levels of manufacturing involvement in strategicprocesses or planned investments in infrastructural programs correlate with higher than averageperformance. (Subject Area: Production/Operations Management and Manufacturing Strategy)
Scenario-Based Markovian Modeling of Web-System Availability Considering Attacks on Vulnerabilities

In the paper we simulate web-system availability taking into account security aspects and different maintenance scenarios. As a case study we have developed two Markov’s models. These models simulate availability of a multitier web-system considering attacks on DNS vulnerabilities in additional to system failures due to hardware/software (HW/SW) faults. Proposed Markov’s model use attacks rate and criticality as initial simulation parameters. In the paper we demonstrate how to estimate these parameters using open vulnerability databases (e.g. National Vulnerability Database). We also define different vulnerability elimination (VE) scenarios and examine how they affect system availability.
Turbo-BLAST with Iterative Channel Estimation in a Correlated Fast Fading Channel

This paper describes an iterative interference canceling receiver for MIMO channels where the channel is correlated and the fading is fast The receiver estimates the complex channel coefficients by utilising periodically inserted pilot bits and the iterative receiver removes interference over iterations. Channel estimation is improved over iterations by utilizing the data estimates from the previous iteration. A low complexity system results with performance close to optimal
Tango cards: a card-based design tool for informing the design of tangible learning games

For over thirty years researchers have suggested that both tangible user interfaces and digital games have potential to support learning. Each domain now has a well-developed body of literature about how to design them to enable learning benefits. What is needed is a way to bring this knowledge, which is often lengthy, dense, and jargon laden to design practice. To address this need, we designed Tango Cards--a card-based design tool. In this paper we report on the design and evaluation of the cards. We found that Tango Cards enabled a variety of uses that made design knowledge about tangible learning games accessible to designers. We identify and discuss how specific card features support or limit use by designers. We draw on our findings to set forth design considerations that may support others to create design tools (card-based or alike) that make academic design knowledge accessible to designers.
Modeling of the flow in wind farms for total power optimization

In this work, the concept of total power optimization for wind farms under wake interaction is presented. A dedicated Computational Fluid Dynamic (CFD) model of the wind based on the numerical solution of the 2D Navier-Stokes equations is implemented in an efficient way by exploiting the sparsity of the involved matrices. Thus, the total power optimization over the farm is performed by incorporating the velocity field obtained from the CFD model. Finally, we show how the total power can be increased in a 2.26% with respect to the conventional optimal operation.
Non-commercial Research and Educational Use including without Limitation Use in Instruction at Your Institution, Sending It to Specific Colleagues That You Know, and Providing a Copy to Your Institution's Administrator. All Other Uses, Reproduction and Distribution, including without Limitation Comm

In recent years we have witnessed the widespread evolution of support tools that operate in association with the user to accomplish a range of computer-mediated tasks. Two examples of these tools are critics and recommenders. Critics are cooperative tools that observe the user interacting with a computer system and present reasoned opinions about a product under development. Recommender systems are tools that assist users by facilitating access to relevant items. At the same time, defeasible argumentation has evolved as a successful approach in AI to model commonsense qualitative reasoning, with applications in many areas, such as agent theory, knowledge engineering and legal reasoning. This paper presents a novel approach towards the integration of user support systems, such as critics and recommender systems, with a defea-sible argumentation framework. The final goal is to enhance practical reasoning capabilities of current user support tools by incorporating argument-based qualitative inference.
Induction of Fear but No Effects on Cognitive Fluency by Theta Frequency Auditory Binaural Beat Stimulation

When pure tones of different frequencies are presented dichotically, participants report a subjective beat at a frequency of the difference between the 2 tones. These binaural beats are illusory in that they do not exist in the physical stimuli. Electro- and magnetoencephalographic evidence suggests that these psychological binaural beats can induce physiological synchronous electric activity in the brain. Therefore, they have potential experimental and therapeutic applications. The present study reports on a fully controlled, double-blind experiment of acute exposure to binaural beats at 6 Hz (theta) on concurrent mood and cognitive function as measured by a range of fluency tasks on healthy adults. The present study could not find any detectable influence of binaural beat exposure on four different measures of cognitive fluency (phonological, semantic, ideational and design). However, regarding moods measured with the Visual Analogue Mood Scales, a significant induction of fear in the binaural beat condition compared to control was detected. A suggested mechanism of action for this fear induction is the entrainment of theta activity in the amygdala or primary auditory cortex. Furthermore, as the beat was embedded within music, participants were unaware of its presence. The present data suggest that no cognitive enhancement, nor for that matter cognitive suppression, at least as measured by fluency tasks, is induced by theta frequency binaural beat stimulation. However, the fact that theta frequency stimulation can induce fear without participants being aware of the stimulation could be of practical experimental use, for example in human anxiety or conditioned fear research.
Design and implementation of object tracking system based on LoRa

Internet of Things(IoT) technology is an global infra that offers intellectual services combined with situation recognizing knowledge and communication between humans and objects and among objects, which has become core technology in hyper-connected society with its Cloud and big data technology. To connect objects, low range and low power communication technology was needed, therefore, RoLaWAN technology was developed. We suggest object tracking and managing system based on RoLaWAN technology. Firstly, required service of the tracking and managing system will be explained, then, the system will be designed and realized. Also, we will present efficiency of RoLaWAN technology's application.
Analysing the hidden curriculum: use of a cultural web

CONTEXT Major influences on learning about medical professionalism come from the hidden curriculum. These influences can contribute positively or negatively towards the professional enculturation of clinical students. The fact that there is no validated method for identifying the components of the hidden curriculum poses problems for educators considering professionalism. The aim of this study was to analyse whether a cultural web, adapted from a business context, might assist in the identification of elements of the hidden curriculum at a UK veterinary school.