Miracle-dz/UniFAR-FTUs huggingface dataset:
The Effect of Various Media Scaffolding on Increasing Understanding of Students' Geometry Concepts.

This study is a quasi-experimental research with pretest-posttest control group design, which aims to determine (1) the tendency of students in using various media scaffolding based on gender, and (2) effect of media scaffolding on increasing understanding of students’ geometry concepts. Media scaffolding used this study is chart, props, and visual. The population was the fifth grade students of State Elementary School I Gunung Terang (total 40 students), Bandar Lampung, Indonesia of the academic year 2015-2016. The sample was total sampling, respectively 20 students in the experimental class (with media scaffolding) and control class (without media scaffolding). Data were collected through observation, interview and test. Analysis of the observation and interviews data with descriptive statistics (percentage). and the test data was analyzed by (a) measuring the level of effectiveness on increasing understanding of students’ geometry concepts with formula of Hake’s Normalized Gain (g) and its interpretation, and (b) examine of hypotesis on level of effectiveness with t-test. The results of research showed that (1) the tendency of male students using the media scaffolding props, and female students using scaffolding media chart, and (2) effect of media scaffolding on increasing understanding of students’ geometry concepts is effective enough. DOI : http://dx.doi. org/10.22342/jme.9. 1.4291. 95-102
Partial Evaluation for Dictionary-free Overloading

It has long been suggested that parametric polymorphism might be implemented by generating a distinct version of the code for each monomorphic instance of a function that is used in a given program. However, most implementations avoid this approach for fear that it could lead to a substantial increase in the size of the compiled program – a so-called code explosion – and that it would complicate the process of separate compilation. An alternative, used in many systems, is to have a single implementation of each polymorphic function and use a uniform (or boxed) representation for all values. This avoids the risk of code explosion but makes it more difficult to support parametric overloading. In addition, the use of boxed representations for even the most primitive values may carry a significant run-time cost. This paper presents a new approach that lies between these two extremes. The resulting system can be used to obtain an efficient implementation of overloading and to avoid the use of boxed representations of values in common cases (by reducing it to a particular form of overloading). We describe a compiler for a Haskell-like language that supports overloading using a system of type classes. The compiler generates distinct implementations for each overloaded function that appears in a given program but only a single version of the code for pure polymorphic values. This avoids many of the problems associated with the use of dictionaries in previous implementations of type class overloading. Furthermore, comparing the output from our compiler with that of an earlier dictionary-based implementation we find that, for realistic applications, there is no code explosion. The new compiler has been obtained by adding a simple partial evaluator to the dictionary-based system. The results of this paper therefore provide further motivation for including a more general partial evaluation system as part of production quality compilers for such languages. We do not attempt to deal with the interaction between partial evaluation and separate compilation although our results certainly suggest that further work in that area would be beneficial.
Hopelessness, suicidality and religious coping in Croatian war veterans with PTSD.

BACKGROUND Hopelessness is a strong predictor of suicide which is closely associated with PTSD in war veterans. Previous studies showed that if religious faith in war veterans was weakened it contributed to more extensive current use of mental health services. War trauma experience can weaken religious faith as well as strengthen it. It partly depends on religious coping which can be positive or negative. SUBJECTS AND METHODS In our work we present correlation between hopelessness (measured with Beck Hopelessness Scale) and style of religious coping (positive or negative, measured with R-COPE) in 111 Croatian war veterans with PTSD and 39 healthy volunteers. RESULTS Veterans with PTSD were more hopeless than healthy volunteers, and had greater usage of negative religious coping. In PTSD group, less hopeless veterans showed greater extent in use of positive religious coping strategies. CONCLUSION These findings suggest that experts treating male combat veterans with PTSD should inquire about religious coping of the individual. Positive religious coping should be encouraged while negative religious coping should be addressed appropriately.
Time-sensitive data dissemination in opportunistic networks

Data dissemination is an essential application in the opportunistic network which has received considerable attention recently. Delivering data effectively and rapidly is the major target of data dissemination. However, many scenarios ask data to be sent to specific locations at designated time. For example, the information of bargain news is useful in shopping streets during business hours. Unfortunately, existing dissemination routing protocols suffer from huge transmission overheads. Moreover, due to the limited capability of devices, context-based routing methods are also inapplicable since their computation complexity is high. This paper therefore presents a novel timesensitive data dissemination scheme (TSDD) composed of three major components including node location prediction, relay node selection, and successor selection. By exploiting some accessible information, TSDD can deliver time-sensitive data efficiently. Simulation results show that TSDD provides higher delivery rate with less transmission overheads than existing methods.
A Sub-100 $\mu$ W MICS/ISM Band Transmitter Based on Injection-Locking and Frequency Multiplication

For fully autonomous implantable or body-worn devices running on harvested energy, the peak and average power dissipation of the radio transmitter must be minimized. Additionally, link symmetry must be maintained for peer-to-peer network applications. We propose a highly integrated 90 μW 400 MHz MICS band transmitter with an output power of 20 μW, leading to a 22% global efficiency - the highest reported to date for low-power MICS band systems. We introduce a new transmitter architecture based on cascaded multi-phase injection locking and frequency multiplication to enable low power operation and high global efficiency. Our architecture eliminates slow phase/delay-locked loops for frequency synthesis and uses injection locking to achieve a settling time <;250 ns permitting very aggressive duty cycling of the transmitter to conserve energy. At a data-rate of 200 kbps, the transmitter achieves an energy efficiency of 450 pJ/bit. Our 400 MHz local oscillator topology demonstrates a figure-of-merit of 204 dB while locked to a stable crystal reference. The transmitter occupies 0.04 mm2 of active die area in 130 nm CMOS and is fully integrated except for the crystal and the matching network.
Image Retrieval by Examples

A currently important research field in information sciences is the management of nontraditional distributed multimedia databases. Two related key issues are to achieve an efficient content-based query by example retrieval and a fast response time. This paper presents the architecture of a distributed image retrieval system which provides novel solutions to these key issues. In particular, a method to quantify the effectiveness of low level visual descriptors in database query tasks is presented. The results are also used to improve the system response time, which is an important issue when querying very large databases. A new mechanism to adapt system query strategies to user behavior is also introduced in order to improve the effectiveness of relevance feedback and overall system response time. Finally, the issue of browsing multiple distributed databases is considered and a solution is proposed using multidimensional scaling techniques.
GaN MMIC amplifiers for W-band transceivers

This paper presents W-band monolithic microwave integrated circuit (MMIC) amplifiers with grounded coplanar waveguide (GCPW) in 0. 12µm GaN HEMT technology. A fabricated four-stage low-noise amplifier (LNA) exhibited a record gain of 23 dB at 76.5 GHz and a first reported noise figure (NF) of 3.8 dB at 80 GHz for any W-band GaN MMIC. Another MMIC power amplifier (PA) delivered an output power of 25.4 dBm at 76.5 GHz with continuous wave (CW) operation. To our knowledge, this is the first demonstration of GaN LNA as well as GaN MMICs with GCPW in the W-band. In addition, a practical design technique to prevent instability of the W-band MMIC is described.
A Cosmic Abundance Standard: Chemical Homogeneity of the Solar Neighborhood and the ISM Dust-Phase Composition

A representative sample of unevolved early B-type stars in nearby OB associations and the field is analyzed to unprecedented precision using NLTE techniques. The resulting chemical composition is found to be more metal-rich and much more homogeneous than indicated by previous work. A rms scatter of ~10% in abundances is found for the six stars (and confirmed by six evolved stars), the same as reported for ISM gas-phase abundances. A cosmic abundance standard for the present-day solar neighborhood is proposed, implying mass fractions for hydrogen, helium, and metals of X = 0.715, Y = 0.271, and Z = 0.014. Good agreement with solar photospheric abundances as reported from recent 3D radiative-hydrodynamical simulations of the solar atmosphere is obtained. As a first application we use the cosmic abundance standard as a proxy for the determination of the local ISM dust-phase composition, putting tight observational constraints on dust models.
Seeing via Miniature Eye Movements: A Dynamic Hypothesis for Vision

During natural viewing, the eyes are never still. Even during fixation, miniature movements of the eyes move the retinal image across tens of foveal photoreceptors. Most theories of vision implicitly assume that the visual system ignores these movements and somehow overcomes the resulting smearing. However, evidence has accumulated to indicate that fixational eye movements cannot be ignored by the visual system if fine spatial details are to be resolved. We argue that the only way the visual system can achieve its high resolution given its fixational movements is by seeing via these movements. Seeing via eye movements also eliminates the instability of the image, which would be induced by them otherwise. Here we present a hypothesis for vision, in which coarse details are spatially encoded in gaze-related coordinates, and fine spatial details are temporally encoded in relative retinal coordinates. The temporal encoding presented here achieves its highest resolution by encoding along the elongated axes of simple-cell receptive fields and not across these axes as suggested by spatial models of vision. According to our hypothesis, fine details of shape are encoded by inter-receptor temporal phases, texture by instantaneous intra-burst rates of individual receptors, and motion by inter-burst temporal frequencies. We further describe the ability of the visual system to readout the encoded information and recode it internally. We show how reading out of retinal signals can be facilitated by neuronal phase-locked loops (NPLLs), which lock to the retinal jitter; this locking enables recoding of motion information and temporal framing of shape and texture processing. A possible implementation of this locking-and-recoding process by specific thalamocortical loops is suggested. Overall it is suggested that high-acuity vision is based primarily on temporal mechanisms of the sort presented here and low-acuity vision is based primarily on spatial mechanisms.
The 12 Gastrointestinal Pathogens Spectrum of Acute Infectious Diarrhea in a Sentinel Hospital, Shenzhen, China

Acute infectious gastroenteritis is one of the most common diseases among all ages, particularly in developing countries. The pathogen spectrum may differ among different regions and seasons. To investigate the etiology of acute diarrhea in Shenzhen, a prospective study was conducted from August 2014 to September 2015. Stools from 412 patients with diarrhea (286 of whom were adults) including the general epidemiological information of the patients were collected. The 19 pathogens were detected by conventional culture method or multiplex PCR assay, which included five viruses (rotavirus, adenovirus, sapovirus, norovirus, and astrovirus), 11 bacterial pathogens (Salmonella, Campylobacter jejuni, Shigella, Listeria monocytogenes, Vibrio parahaemolyticus, Vibrio cholera, Enterohemorrhagic (EHEC), enteropathogenic (EPEC), enteroinvasive (EIEC), enterotoxigenic (ETEC); and enteroaggregative Escherichia coli (EAEC)) and three parasites (Entamoeba histolytica, Giardia lamblia, and Cryptosporidium parvum). A potential pathogen and coinfection was found in 41.5 and 7.0% of cases, respectively. The bacterial infection was the dominant cause of diarrhea (32.3%), and the three most frequently identified organisms were Salmonella (12.1%), ETEC (8.0%), and Campylobacter jejuni (4.9%). Salmonella enteritidis was the leading serotype of Salmonella sp. Norovirus (8.3%) and sapovirus (2.2%) were the most common viral pathogens, followed by adenovirus (1.5%) and rotavirus (1.2%). No EHEC, L. monocytogenes, V. cholera, Shigella, and parasites were found. The single most important causes of diarrhea were Salmonella spp. and Campylobacter jejuni, which points toward the need for testing and surveillance for these pathogens in this region.
RAMI: a tool for identification and characterization of phylogenetic clusters in microbial communities

Motivation: The most common approach to estimate microbial diversity is based on the analysis of DNA sequences of specific target genes including ribosomal genes. Commonly, the sequences are grouped into operational taxonomic units based on genetic distance (sequence similarity) instead of genetic change (patristic distance). This method may fail to adequately identify clusters of evolutionary related sequences and it provides no information on the phylogenetic structure of the community. An ease-of-use web application for this purpose has been missing. Results: We have developed RAMI, which clusters related nodes in a phylogenetic tree based on the patristic distance. RAMI also produces indices of cluster properties and other indices used in population and community studies on-the-fly. Availability: RAMI is licensed under GNU GPL and can be run or downloaded from http://www.acgt.se/online.html. Contact: tpommier@univ-montp2.fr; bcanback@acgt.se Supplementary information: http://www.acgt.se/RAMI/SuppInfo
THE INFLUENCE OF NARCISSISM IN THE PROFESSIONAL ENVIRONMENT: ASPECTS RELATED TO DISHONESTY

The objective of this study was to identify whether non-pathological narcissistic personality traits of undergraduate accounting students are related to their perception of dishonesty considering their future professional context, based on a survey of 108 accounting majors. The sample included students who joined the University of Sao Paulo between 2014 and 2016. The questionnaire used in this study was composed of three parts: i) participant profile; ii) Narcissistic Personality Inventory (NPI); and iii) the instrument for evaluating the respondents’ perception regarding attitudes that are considered as dishonest. The students analyzed tend to agree with some statements that relate to characteristics of narcissistic individuals, such as: a belief that they will be successful individuals, that they are seen as good leaders, and that they like to look at themselves in the mirror. Regarding dishonesty in the professional context, the attitudes the students considered most dishonest were: selling confidential information about a client, filling out a false expense report and turning it in, and pressuring a colleague to do your work and then taking credit for the work as your own. In relation to the model estimation aimed at testing the association between narcissistic personality traits and dishonesty in the professional context, we initially expected that the higher an individual’s score on the NPI, the lower the score would be on our instrument to measure perceptions of dishonest professional behavior. In the sample studied, however, the variable referring to narcissism was not statistically significant in this respect. We did find that the students who were more tolerant of academic dishonesty also tended to be more tolerant of professional dishonesty. That finding allows inferring that unethical behavior in the past is a strong indicator of future misbehavior, specifically that a positive correlation exists between dishonest behavior during school years and the propensity to engage in or tolerate fraud in the future professional setting.
Low-complexity adaptive transceiver techniques for K-pair MIMO interference channels

In this work, we propose a low-complexity adaptive transceiver algorithm for the K-pair multiple-input multiple-output (MIMO) interference channels. The proposed algorithm is based on the joint optimization of transmit and receive vectors using the constrained constant modulus (CCM) criterion. We firstly derive CCM-based expressions for the transmit and receiver vectors. Then, we develop recursive least-squares (RLS) adaptive algorithms for their efficient implementation. Unlike earlier block-based transceivers for MIMO interference channels, the proposed algorithms have low computational complexity and can track the time-varying channels and interference as changes occur in the surrounding wireless environment. In particular, simulation results show that the proposed adaptive algorithms achieve the performance of the Sum-MSE algorithm at a much reduced complexity.
From flows of Λ-Fleming-Viot processes to lookdown processes via flows of partitions

The goal of this paper is to unify the lookdown representation and the stochastic flow of bridges, which are two approaches to construct the Λ-Fleming-Viot process along with its genealogy. First we introduce the stochastic flow of partitions and show that it provides a new formulation of the lookdown representation. Second we study the asymptotic behaviour of the Λ-Fleming-Viot process and we provide sufficient conditions for the existence of an infinite sequence of Eves that generalise the primitive Eve of Bertoin and Le Gall. Finally under the condition that this infinite sequence of Eves does exist, we construct the lookdown representation pathwise from a flow of bridges.
Ontology-Based Classification of Non-functional Requirements in Software Specifications: A New Corpus and SVM-Based Classifier

A software requirements specification (SRS) contains all the requirements for a system-to-be. These are typically separated into functional requirements (FR), which describe the features of the system under development, and the non-functional requirements (NFR), which include quality attributes, design constraints, among others. It is well known that NFRs have a large impact on the overall cost and time of the system development process, as they frequently describe cross-cutting concerns. In order to improve software development support, an automated analysis of SRS documents for different NFR types is required. Our work contains two significant contributions towards this goal: (1) A new gold standard corpus containing annotations for different NFR types, based on a requirements ontology, and (2) a Support Vector Machine (SVM) classifier to automatically categorize requirements sentences into different ontology classes. Results obtained from two different SRS corpora demonstrate the effectiveness of our approach.
Learning Concept Hierarchies from Text with a Guided Hierarchical Clustering Algorithm

We present an approach for the automatic induction of concept hierarchies from text collections. We propose a novel guided agglomerative hierarchical clustering algorithm exploiting a hypernym oracle to drive the clustering process. By inherently integrating the hypernym oracle into the clustering algorithm, we overcome two main problems of unsupervised clustering approaches relying on the distributional similarity of terms to induce concept hierarchies. First, by only clustering two terms if they have a hypernym in common we make sure that the cluster produced in this way is actually reasonable. Second, by labeling the clusters with the corresponding hypernym we overcome the labeling problem shared by all unsupervised approaches. We present results of a comparison of our approach with Caraballo’s method, assessing the quality of the automatically learned ontologies by comparing them to a handcrafted taxonomy for the tourism domain using the similarity measures of Maedche et al. Further, we also present a human evaluation of the concept hierarchy produced by our guided algorithm.
Detection of some heart diseases using fractal dimension and chaos theory

This study evaluates the changes in heart rate variability for 13 signals ECG signals taken from the MIT-BIH arrhythmia database to detect some major heart disease (APC, PVC, RBB, LBB) with fractal dimension. Fractal dimension is one of the best known parts of fractal analysis. A huge number of dimensions have been defined in various fields. We choose the regularization dimension [1] for detection and prediction of some hearts failure. Nonlinear analysis based on chaos theory and fractal analysis techniques may quantify abnormalities. This article emphasizes changes in time series applied on patients with heart disease.
An infrastructure as a Service for Mobile Ad-hoc Cloud

In this era of growing mobile device technology, the direction of growth is moving towards providing powerful computational capabilities and expanding memory in the device. Nevertheless, this growth has objectively put a lot of the device computational power to an unused state which calls for a better management of intra-device resources. Over a period of time, it has been studied that a mobile “edge-cloud” formed by these devices could be as productive or close to the productivity of the public cloud in terms of providing a service. However, the ease of access to this pool of devices is much more arbitrary and based purely on the needs of the user. This could categorically be summed as the building block of a cloud built for providing an infrastructure for various services that can be processed with volunteer node participation. This representation of cloud formation to engender a constellation of devices in turn providing a service is the basis for the concept of Mobile Ad-hoc Cloud Computing. In this manuscript, an Infrastructure as a Service paradigm in Mobile Ad-hoc Cloud Computing is delineated. A novel architecture for discovering a dedicated pool of devices and the dependencies it should satisfy while formation of this pool for computation is designed. Moreover, a peer-to-peer composition algorithm to form this dedicated resource pool is proposed.
Porcine Endogenous Retrovirus Transmission Characteristics of an Inbred Herd of Miniature Swine

ABSTRACT Here we report the identification of inbred miniature swine that failed to produce human-tropic replication-competent porcine endogenous retroviruses (HTRC PERVs), using in vitro coculture assays. When HTRC PERVs were isolated from transmitting animals, all were recombinant viruses, with the receptor-binding domain of PERV-A combining with PERV-C-related sequences.