Miracle-dz/UniFAR-FTUs huggingface dataset:
Interactive framework and its supported environment between component and aspect

Aspect-oriented programming (AOP) may improve the software design; increase the reusability and implement separation of concerns. It enables the handling of crosscutting concerns. It would help to understand the software system and strengthen the adaptability, maintainability and reusability of the final software. Component-based software development (CBSD) approach is one of the most promising solutions for emerging high development cost, low productivity, unmanageable software quality and high risk. This approach, however, suffers some problems about unseparated crosscutting concerns that are easy to lead to the code-tangling and code-scattering. AOP can settle the problem. This paper works on the combination between CBSD and AOP. The combinatorial semantic constraint is described in theory at first, and then this paper proposes a combinatorial interactive framework and set up the run-time supported environment through the message queue and message interceptor. At last, the framework uses the simple example-book management system-to be proved to be an effective way on the road of the combination between CBSD and AOP. This paper also discusses the further work
Detection of Atrioventricular Node and Its Parameters Using ECG

Electrocardiography(ECG) is the interpretation of the electrical activity of the heart over a period of time, as detected by electrodes attached to the outer surface of the skin and recorded by a device external to the body. This paper proposes an algorithm of ECG signal abstraction by micro controller MSP430, analysis using an algorithm and verification using arbitrary generator AFG3000 series. This paper illustrates detection of Atrioventricular(AV) node and its parameters using ECG with respect to various graphical parameters like PR intervals, P wave, RR interval, PR segment, QRS complex, ST segment, T wave, ST interval and QT interval.
PIFT: Predictive Information-Flow Tracking

Phones today carry sensitive information and have a great number of ways to communicate that data. As a result, malware that steal money, information, or simply disable functionality have hit the app stores. Current security solutions for preventing undesirable data leaks are mostly high-overhead and have not been practical enough for smartphones. In this paper, we show that simply monitoring just some instructions (only memory loads and stores) it is possible to achieve low overhead, highly accurate information flow tracking. Our method achieves 98% accuracy (0% false positive and 2% false negative) over DroidBench and was able to successfully catch seven real-world malware instances that steal phone number, location, and device ID using SMS messages and HTTP connections.
Anticipating Words and Their Gender: An Event-related Brain Potential Study of Semantic Integration, Gender Expectancy, and Gender Agreement in Spanish Sentence Reading

Recent studies indicate that the human brain attends to and uses grammatical gender cues during sentence comprehension. Here, we examine the nature and time course of the effect of gender on word-by-word sentence reading. Event related brain potentials were recorded to an article and noun, while native Spanish speakers read medium to high-constraint Spanish sentences for comprehension. The noun either fit the sentence meaning or not, and matched the preceding article in gender or not; in addition, the preceding article was either expected or unexpected based on prior sentence context. Semantically anomalous nouns elicited an N400. Gender disagreeing nouns elicited a posterior late positivity (P600), replicating previous findings for words. Gender agreement and semantic congruity interacted in both the N400 windowwith a larger negativity frontally for double violationsand the P600 windowwith a larger positivity for semantic anomalies, relative to the prestimulus baseline. Finally, unexpected articles elicited an enhanced positivity (500700 msec post onset) relative to expected articles. Overall, our data indicate that readers anticipate and attend to the gender of both articles and nouns, and use gender in real time to maintain agreement and to build sentence meaning.
An anytime computation approach to information gatheringShlomo

Information gathering systems are operating in an ever growing environment of information sources. One of the main challenges of information gathering research is to generate a high-quality response to the information needs of the user. To achieve this goal, systems will have to trade oo computational resources for quality of results. This paper shows how a special type of anytime algorithms can be used eeciently to construct and monitor information gathering systems. 1 Anytime algorithms and information gathering The core of the problem of information gathering is how to generate a concise, high-quality response to the information needs of a user operating in an ever growing environment of information sources. In order to solve this problem, we can no longer rely strictly on information retrieval techniques, since the amount of \relevant" information to a given query may be too large for the user to handle. In order to reduce the amount of information and increase its precision, we need to perform some level of real-time problem solving and integration of information. The computational resources consumed by this operations will have to be balanced against the expected improvement in information quality. A similar view of information gathering has been advocated by Oates, Nagendra and Lesser 1994]. In travel planning, for example, a vacation destination is normally selected based on many factors such as the cost of travel, the expected weather conditions , local events and activities, and the safety of the plan. Most of the information sources would provide only one type of information, leaving the task of integrating the pieces and matching them with the preferences of the user to the information gathering system. In addition, redundancy of information sources, communication and access costs, and limited availability of services require real-time planning and monitoring of the information gathering process. Anytime algorithms have been used successfully to address several aspects of this planning and monitoring problem. Such algorithms ooer a simple means by which a system can tradeoo quality of results for the resources used to produce those reIn previous work, we have developed an eeective model for building complex systems using anytime algorithms as components Zilberstein, 1993]. In particular, we have developed oo-line compilation techniques and run-time monitoring strategies to maximize the utility of such systems. In this paper we examine the applicability of these results to the problem of information gathering and propose a particular solution. An important observation …
Glitch Free Strobe Control Based Digitally Controlled Delay Lines

The Combinational circuit designed was glitch free NAND-based digitally controlled delay-lines (DCDL) present a glitching problem which may limit their employ in many applications. The glitch free strobe-control based digitally controlled delay lines overcame this limitation by opening the employ of glitch free NAND-based DCDLs in a wide range of applications. The proposed glitch free strobe-control based digitally controlled delay lines maintains the same resolution and minimum delay of previously proposed glitch free NAND-based DCDL. Following this analysis, three driving circuits for the delay control-bits are also proposed. Proposed DCDLs have been designed in a 90-nm CMOS technology. Simulation results show that new circuits result in the lowest resolution, with a little worsening of the minimum delay with respect to the previously proposed DCDL with the lowest delay. Simulations also confirm the correctness of developed glitching model and sizing strategy. As example application, proposed DCDL is used to recognize an Alldigital spread-spectrum clock generator (SSCG). The use of proposed DCDL in this circuit allows to reduce the peak-to-peak absolute output jitter with respect to a SSCG using three-state inverter based DCDLs.
Auction-Based Random Access Load Control for Time-Dependent Machine-to-Machine Communications

Random access channel (RACH) contention issue has drawn great attention due to the prospering development of machine-to-machine (M2M) and Internet-of-Things (IoT) applications. Since a high preamble transmission rate is the direct cause of RACH contention, in this paper, we propose a two-stage scheme to control preamble transmission in multiple periods. In stage I, we design an auction method to balance and allocate the RACH transmission traffic among periods. In stage II, we propose an RACH attempt estimation method to control the preamble transmission rate decided by stage I. Through the two-stage scheme, we can efficiently handle a great number of random access request coming from diverse M2M applications.
Research on interoperability of intelligent mobile agent for DIS

In the operational simulation field, joint operational simulations bring complex dependencies between systems across different services. Different platforms and simulations also need interoperability, which attracts more and more attention of computer scientists. This paper introduces the Intelligent Mobile Agent into operational simulation field, it discusses the main research works about interoperability, then brings up an interoperability framework of Intelligent Mobile Agent for DIS, tries to make use of the Interoperability of Intelligence Mobile Agent to correct the current deficiency of distributed interactive operational simulation systems. Experimental system we have constructed shows that there is an improvement in different simulation systems interoperability.
Improving SMT by Using Parallel Data of a Closely Related Language

The amount of training data in statistical machine translation critically affects translation quality. In this paper, we demonstrate how to increase translation quality for one language pair by introducing parallel data from a closely related language. Specifically, we improve English→Slovak translation using a large Czech– English parallel corpus and a shallow MT system for Czech→Slovak translation. Several options are explored to identify the best possible configuration. We also present our two contributions to available data resources, namely the English–Slovak parallel corpus and the Slovak variant of the WMT 2011 test set.
Temporal Relation between the ADC and DC Potential Responses to Transient Focal Ischemia in the Rat: A Markov Chain Monte Carlo Simulation Analysis

Markov chain Monte Carlo simulation was used in a reanalysis of the longitudinal data obtained by Harris et al. (J Cereb Blood Flow Metab 20:28–36) in a study of the direct current (DC) potential and apparent diffusion coefficient (ADC) responses to focal ischemia. The main purpose was to provide a formal analysis of the temporal relationship between the ADC and DC responses, to explore the possible involvement of a common latent (driving) process. A Bayesian nonlinear hierarchical random coefficients model was adopted. DC and ADC transition parameter posterior probability distributions were generated using three parallel Markov chains created using the Metropolis algorithm. Particular attention was paid to the within-subject differences between the DC and ADC time course characteristics. The results show that the DC response is biphasic, whereas the ADC exhibits monophasic behavior, and that the two DC components are each distinguishable from the ADC response in their time dependencies. The DC and ADC changes are not, therefore, driven by a common latent process. This work demonstrates a general analytical approach to the multivariate, longitudinal data-processing problem that commonly arises in stroke and other biomedical research.
Schizophrenia: Can We Predict

Four out of I3 drug-free relapsed schizophrenic patients improved with double-blind clonidine treatment. All responders were paranoid schizophrenic patients. Pretreatment growth hormone (GH) response to the clonidine challenge test (CCT) correlated significantly with clonidine treatment improvement in psychosis, anxiety, and negative symptom ratings. Spontaneous GH peaks following placebo correlated significantly with the behavioral change with clonidine treatment. Our data suggest that patients with normal or high az- receptor activity and "normal" cerebrospinal fluid (CSF) norepinephrine (NE) are likely to respond to clonidine treatment. Patients with either high or low CSF NE levels did not respond to clonidine treatment. CSF NE and 3-methoxy-4- hydroxyphenylglycol (M H PC) decreased significantly with clonidine treatment. Changes in CSF NE and M HPG did not correlate significantly with improvement in psychosis, but they correlated with changes in other behaviors.
Learning the Matching Function

The matching function for the problem of stereo reconstruction or optical flow has been traditionally designed as a function of the distance between the features describing matched pixels. This approach works under assumption, that the appearance of pixels in two stereo cameras or in two consecutive video frames does not change dramatically. However, this might not be the case, if we try to match pixels over a large interval of time. In this paper we propose a method, which learns the matching function, that automatically finds the space of allowed changes in visual appearance, such as due to the motion blur, chromatic distortions, different colour calibration or seasonal changes. Furthermore, it automatically learns the importance of matching scores of contextual features at different relative locations and scales. Proposed classifier gives reliable estimations of pixel disparities already without any form of regularization. We evaluated our method on two standard problems - stereo matching on KITTI outdoor dataset, optical flow on Sintel data set, and on newly introduced TimeLapse change detection dataset. Our algorithm obtained very promising results comparable to the state-of-the-art.
Teachers Feel Lonely Too: A Study of Teachers’ Personal and Professional Characteristics Associated with Loneliness

espanolEl estudio se proponia identificar las caracteristicas demograficas y profesionales asociadas con la soledad, entre un grupo de maestros brasilenos, y estimar hasta que punto estan asociadas la satisfaccion en el trabajo y el sentido de soledad. Los participantes fueron 1,194 maestros brasilenos. Utilizando la estrategia del modelo de bola de nieve, los participantes contestaron un cuestionario en linea. Se llevaron a cabo una serie de t-tests, ANOVA, y analisis corelacionados. Los resultados sugieren que los maestros que no se inter-relacionan, los que ensenan en escuelas privadas y los que ensenan en escuelas publicas, estan mas propensos a sentirse solos. Estos resultados indican tambien que cuanto mas solos se sienten los maestros, menos satisfechos estan en su trabajo. portuguesO objetivo do presente estudo foi identificar as caracteristicas pessoais e profissionais associadas com a solidao entre professores brasileiros e medir o quanto a satisfacao no trabalho e a solidao estao associadas. Participaram deste estudo um total de 1.194 professores. Recrutados por uma amostragem do tipo bola de neve, os participantes responderam a um questionario online. Foram conduzidos os testes t, ANOVA e correlacao de Pearson. Os resultados indicam que professores que estao em um relacionamento amoroso, aqueles que estudaram em faculdades privadas e aqueles que lecionam em escolas publicas sao mais propensos a experimentarem solidao. Os resultados ainda revelam que quanto maior o nivel de solidao, maior a insatisfacao do professor com o seu trabalho. EnglishThis study aimed to identify the demographic and professional characteristics associated with loneliness among a sample of Brazilian teachers, and to assess the extent to which job satisfaction and loneliness are associated. Participants were 1,194 Brazilian teachers. Using a snowball sampling strategy, participants answered an online survey questionnaire. A series of t-tests, ANOVAs, and correlational analyses were performed. The results suggest that teachers who are not in a relationship, teachers who attended a private college, and those teaching in a public school are more likely to feel lonely. The results also indicate that the more lonely teachers feel, more dissatisfied they are with their jobs.
Do students SQLify? improving learning outcomes with peer review and enhanced computer assisted assessment of querying skills

In recent years a small number of web-based tools have been proposed to help students learn to write SQL query statements and also to assess students' SQL writing skills. SQLify is a new SQL teaching and assessment tool that extends the current state-of-the-art by incorporating peer review and enhanced automatic assessment based on database theory to produce more comprehensive feedback to students. SQLify is intended to yield a richer learning experience for students and reduce marking load for instructors. In this paper SQLify is compared with existing tools and important new features are demonstrated.
Rapid Reverse DNS Lookups for Web Servers

When a web server wants to learn the domain name of one of its clients, it must perform a lookup in the Domain Name System's "reverse domain", inaddr.arpa. These lookups can take time and may have an adverse impact on the web server's response to its clients. Rapid DNS is an intermediate client/server system that operates between a web server and a DNS server. It provides caching of the results and, more importantly, limits web server lookups to the data contained in the cache. This provides a significant improvement in response time for situations in which knowledge of the hostname is not critical to the web server's operation. The Rapid DNS system was implemented for use in the web farm that serves the collection of Cable News Network (CNN) sites. Its design is presented, along with measurements of its performance in the CNN environment.
A Density Based Clustering approach for early detection of fault prone modules

Quality of a software component can be measured in terms of fault proneness of data. Quality estimations are made using fault proneness data available from previously developed similar type of projects and the training data consisting of software measurements. To predict fault-proneness of modules different techniques have been proposed which includes statistical methods, machine learning techniques, neural network techniques and clustering techniques. The aim of proposed approach is to investigate that whether metrics available in the early lifecycle (i.e. requirement metrics), metrics available in the late lifecycle (i.e. code metrics) and metrics available in the early lifecycle (i.e. requirement metrics) combined with metrics available in the late lifecycle (i.e. code metrics) can be used to identify fault prone modules by using Density Based Clustering technique. This approach has been tested with real time defect datasets of NASA software projects named as PC1. Predicting faults early in the software life cycle can be used to achieve high software quality. The results show that the fusion of requirement and code metric is the best prediction model for detecting the faults as compared with mostly used code based model.
Long-term safety and effectiveness of lurasidone in schizophrenia: a 22-month, open-label extension study

Objective To evaluate the safety and effectiveness of lurasidone in the long-term treatment of patients with schizophrenia. Methods Patients who completed a 6-week, double-blind (DB), placebo-controlled trial continued in a 22-month, open-label (OL) study during which they received once-daily, flexible-doses of lurasidone, 40–120 mg. Change in the Positive and Negative Syndrome Scale (PANSS) was analyzed using both observed case (OC) and last observation carried forward (LOCF) analyses. Results Of the 251 patients who entered the OL extension, 51.4% completed 6 months, 36.7% completed 12 months, and 26.7% completed 22 months of OL treatment. Treatment with lurasidone was associated with a mean change from DB baseline, in weight of +0.4 kg at Month 12 (n=99), and +0.8 kg at Month 24 (n=67; OC analyses). Median change from DB baseline to Month 12 and Month 24, respectively, was -1.0 and -9.0 mg/dL for total cholesterol; 0.0 and -1.0 mg/dL for LDL; +1.0 and -11.0 mg/dL for triglycerides; and 0.0 and +0.1/% for HbA1c (OC analyses). The mean PANSS total score was 96.5 at DB baseline and 69.5 at OL baseline. The mean change from DB baseline in the PANSS total score at Month 24 was -43.6 (OC) and -28.4 (LOCF). Thirty-seven patients (14.7%) discontinued due to an adverse event (AE) during OL treatment. Three AEs occurred in ≥10% of patients: schizophrenia (12.4%), akathisia (10.8%), and somnolence (10.8%); and 19.2% reported at least one movement disorder–related AE. Discontinuations due to AEs occurred in 14.8% of patients. Conclusions In this 22-month, open-label extension study, treatment with lurasidone was associated with minimal effects on weight, glucose, lipids, and prolactin. Patients demonstrated sustained improvement in the PANSS total score for up to 24 months of lurasidone treatment.
Cherubism: Clinicoradiographic Features and Treatment

ABSTRACT Objectives Cherubism is a congenital childhood disease of autosomal dominant inheritance. This disease is characterized by painless bilateral enlargement of the jaws, in which bone is replaced with fibrous tissue. The condition has sui generis clinical, radiographic and histological features, of which the clinician should be aware for a better differential diagnosis in the presence of a fibro-osseous lesion affecting the bones of the maxillomandibular complex. The purpose of present paper was to review the literature and to report the most important aspects of cherubism in order to facilitate the study of this disease Material and Methods Literature was reviewed about cherubism, emphasizing the relevant clinicoradiographic features and treatment. Literature was selected through a search of PubMed and Scielo electronic databases. The keywords used for search were adolescent, cherubism, cherubism/physiopathology, cherubism/treatment, cherubism/radiography. A manual search of the reference lists of the identified articles and the authors' article files and recent reviews was conducted to identify additional publications. Those studies that described new features about cherubism were included in this review. Results In total 44 literature sources were obtained and reviewed. Studies that described new features about cherubism physiopathology, diagnostics and treatment were reviewed. Conclusions Despite the exceptions, cherubism is a clinically well-characterized disease. In cases of a suspicion of cherubism, radiographic examination is essential since the clinical presentation, the location and distribution of the lesions may define the diagnosis. Histopathological examination is complementary. Nowadays, genetic tests should be used for final diagnosis of cherubism.
Image-guided Surgical Microscope

We present an image-guided surgical microscope system using augmented reality image overlays added onto one of the views of the operating microscope. With this system, segmented objects, outlines of risk regions, access pathways or 3D objects, previously extracted from preoperative tomographic images can be directly displayed as augmented reality overlays on the microscope image.