Miracle-dz/UniFAR-FTUs huggingface dataset:
Integrated Visualization of Structure and Attribute Similarity of Multivariate Graphs

An interesting question one may ask about multivariate graphs is if and how structural characteristics are reflected in multivariate attribute similarities and vice versa. In this work, we propose an integrated visualization of structure S and attribute similarity A in a single overview matrix. The idea is to show S and A in the lower and upper triangular matrix, respectively. Dynamic local rearrangement of matrix cells allows the user to create a side-by-side view of S and A for a detailed inspection of both aspects for a selected node. The approach is applied to a multivariate graph of soccer players.
Automatic Neuronal Cell Classification in Calcium Imaging with Convolutional Neural Networks

Problem Statement • Use PCA/ICA processed data, which are the shapes (ROI) and intensity change overtime (trace), for the inputs of classification. • We introduce Cell Classification ConvNet (3CNet) for the classification and verify the feasibility. • Compare the classification results on cell candidates with the human-labeled results to evaluate the accuracy. Methods • Preprocessing images in the dataset: each ROI was extracted and then zero-centered. • The ROIs and traces were inputted to 3CNet. • Human-labeled results were used as truths. • We constructed 3CNet shown Figure 2. • General 3 FC and 2 CNN layers were used to compare the accuracy. Experimental Evaluation and Findings • 85.0% accuracy for 3CNet (Table 2). • Compared to simple 2 fully connected layers and CNNs, 3CNet is more accurate than others. • Information truncated during preprocessing may affect 3CNet to predict incorrectly (Figure 3).
A Lattice-Boltzmann method for the interaction between mechanical waves and solid mobile bodies

The acoustic waves generated by moving bodies and the movement of bodies by acoustic waves are central phenomena in the operation of musical instruments and in everyday's experiences like the movement of a boat on a lake by the wake generated by a propelled ship. Previous works have successfully simulated the interaction between a moving body and a lattice-Boltzmann fluid by immersed boundary methods. Hereby, we show how to implement the same coupling in the case of a Lattice-Boltzmann for waves, i.e. a LBGK model that directly recovers the wave equation in a linear medium, without modeling fluids. The coupling is performed by matching the displacement at the medium-solid boundary and via the pressure, which characterizes the forces undergone by the medium and the immersed body. The proposed model simplifies the preceeding immersed boundary methods and reduces the calculations steps. The method is illustrated by simulating the movement of immersed bodies in two dimensions, like the displacement of a two-dimensional disk due to an incoming wave or the wake generated by a moving object in a medium at rest. The proposal consitutes a valuable tool for the study of acoustical waves by lattice-Boltzmann methods.
A Comparison of the Health Belief Model and Stages of Change in Exercise Behavior Construct in Cardiac Rehabilitation Patients

The purpose of this study was to compare the Health Belief Model (HBM) and the ST AGES theoretical constructs in the uncovering of influencing factors associated with exercise compliance behaviors in cardiac rehabilitation subjects. Sixty subjects who had experienced a cardiac event and who were attending a phase II outpatient cardiac rehabilitation program participated in this study. A questionnaire regarding health beliefs and exercise behavior classification was administered. Questions pertained to general health motivations, effectiveness of the intervention, perception of disease severity, perception of susceptibility and the stage of exercise behavior. An analysis of variance and Tukey' s post hoc comparison statistical procedures were performed to identify the significant differences (a= 0.05), between the stage of change in exercise behavior and health beliefs. Examination of the results revealed a significant difference in health beliefs between subjects classified in the Precontemplation (had not exercised previously and had no intention of starting) stage of exercise behavior when compared with all other exercise stages and their respective health beliefs. Furthermore, the dimensions of perceived severity and effectiveness of intervention were significantly identified as the factors exerting the most influence on general health beliefs. It was concluded that by tailoring the rehabilitation regimen to complement the individual's health beliefs that the likelihood of initiation and maintenance to a rehabilitation program would increase, and levels of compliance observed in this population would improve.
Estimating Multiple Breaks One at a Time

Sequential (one-by-one) rather than simultaneous estimation of multiple breaks is investigated in this paper. The advantage of this method lies in its computational savings and its robustness to misspecification in the number of breaks. The number of least-squares regressions required to compute all of the break points is of order T, the sample size. Each estimated break point is shown to be consistent for one of the true ones despite underspecification of the number of breaks. More interestingly and somewhat surprisingly, the estimated break points are shown to be T-consistent, the same rate as the simultaneous estimation. Limiting distributions are also derived. Unlike simultaneous estimation, the limiting distributions are generally not symmetric and are influenced by regression parameters of all regimes. A simple method is introduced to obtain break point estimators that have the same limiting distributions as those obtained via simultaneous estimation. Finally, a procedure is proposed to consistently estimate the number of breaks.
The Influence of Consciousness in the Physical World : A Psychologist ' s View

"What is consciousness? " and "How does consciousness bring about its effects? " are complex and difficult questions. More readily addressed are less intricate inquiries about the range of influences consciousness can bring about, the conditions that support these effects, and the specific processes that facilitate these influences. Indeed, it may be argued that if we knew, in a precise and detailed way, what consciousness can accomplish under conditions that are known, in a precise and detailed way, then we would have made great progress in our understanding of the nature of consciousness.
Impacts of ocean acidification in naturally variable coral reef flat ecosystems

Ocean acidification leads to changes in marine carbonate chemistry that are predicted to cause a decline in future coral reef calcification. Several laboratory and mesocosm experiments have described calcification responses of species and communities to increasing CO 2. The few in situ studies on natural coral reefs that have been carried out to date have shown a direct relationship between aragonite saturation state ( arag) and net community calcification (G net). However, these studies have been performed over a limited range of arag values, where extrapolation outside the observational range is required to predict future changes in coral reef calcification. We measured extreme diurnal variability in carbonate chemistry within a reef flat in the southern Great Barrier Reef, Australia. arag varied between 1.1 and 6.5, thus exceeding the magnitude of change expected this century in open ocean subtropical/tropical waters. The observed variability comes about through biological activity on the reef, where changes to the carbonate chemistry are enhanced at low tide when reef flat waters are isolated from open ocean water. We define a relationship between net community calcification and arag, using our in situ measurements. We find net community calcification to be linearly related to arag, while temperature and nutrients had no significant effect on G net. Using our relationship between G net and arag, we predict that net community calcification will decline by 55% of its preindustrial value by the end of the century. It is not known at this stage whether exposure to large variability in carbonate chemistry will make reef flat organisms more or less vulnerable to the non-calcifying physiological effects of increasing ocean CO 2 and future laboratory studies will need to incorporate this natural variability to address this question.
Contact-Based Robotics Manipulation Tasks Learning and Execution

In our daily lives, we constantly manipulate objects, for example, we open doors, slide books onto shelves, and fix cars. Some of these manipulation tasks are tedious or dangerous and it is more desirable to let robots help us to perform them. However, robotic systems are currently not capable of these kinds of tasks. An important reason for this is that manipulation involves creating contact arrangements that allow the robot to apply certain forces or impart specific motions of the object. If the manipulation moves the object over a long distance or requires significant reorientations, the contact arrangements might need to be modified by removing a few and creating new ones elsewhere, or even by sliding existing ones to new locations. If we consider the robot and the object as nominally rigid bodies, a manipulation task can be decomposed into a set of finite motions punctuated by a discrete contact state transitions. Although the general dynamics model of rigid body dynamics system is highly nonlinear, if its contact state (the locations of the contacts and whether they are sticking or slipping) is known, then the motion dynamics of the object can be well defined as a linear model [1]. In this case, one can use Kalman filtering to track the object and LinearQuadratic-Gaussian control to execute the manipulation plan. Therefore, to advance the manipulation capabilities of robotic systems, they should be able to sense the contact locations and slip directions directly (via advanced tactile sensors) or indirectly (through inference as done in [1]). Many works have been done to incorporate contact information into robotics manipulations. Farahat et al. studied the contact constrains imposed on a system of rigid bodies [2]. They proved that the syetem of contact constraint equations are smooth submanifolds of configuration space. Chalon et al. developed a particle filter that tracks the pose of the object when it is grasped by a robot gripper [3]. Their method incorporates the kinematic constraints of the robot hand into the state transition model to update the pose of the target object. The work by Koval et al. developed the “manifold particle filter” to support their work in planar push-grasping [4]. Their manifold particle filter samples particles on a precomputed contact manifold, which includes the configuration space of the target object in contact with the robot hand. Although there are different approaches in the previous
Testing the context-independence of quantum gates

The actual gate performed on, say, a qubit in a quantum computer may depend, not just on the actual laser pulses and voltages we programmed to implement the gate, but on its context as well. For example, it may depend on what gate has just been applied to the same qubit, or on how much a long series of previous laser pulses has been heating up the qubit's environment. This paper analyzes several tests to detect such context-dependent errors (which include various types of non-Markovian errors). A key feature of these tests is that they are robust against both state preparation and measurement (SPAM) errors and gate-dependent errors. Since context-dependent errors are expected to be small in practice, it becomes important to carefully analyze the effects of statistical fluctuations and so we investigate the power and precision of our tests as functions of the number of repetitions and the length of the sequences of gates. From our tests an important quantity emerges: the logarithm of the determinant (log-det) of a probability (relative frequency) matrix $\mP. $ For this reason, we derive the probability distribution of the log-det estimates which we then use to examine the performance of our tests for various single- and two-qubit sets of measurements and initial states. Finally, we emphasize the connection between the log-det and the degree of reversibility (the unitarity) of a context-independent operation.
Quasi-Orthogonal Multibeam Radiation of Reflector Antennas for Radio Coverage of Mobile Communication at Millimeter-Wave Frequencies

This communication presents a shaped reflector antenna for radiating five quasi-orthogonal beams for radio coverage of mobile communication at 38 GHz. The feeds are miniaturized by replacing the horn section of the waveguide with a lens structure to avoid an over-crowded accommodation. This configuration has the advantages of subdividing the coverage area and radiating dual-polarized fields to enhance the communication capacity by using a single set of antennas. The overlapped pattern spans an angular coverage of 51° with an efficiency of 88%, which is particularly suitable for mobile cell networks. The numerical and measurement results in terms of radiation patterns and the subsequent results of network modeling are discussed to demonstrate the characteristics of radiation and beam orthogonality.
The Effects of Local Banking Market Structure on the Bank-Lending Channel of Monetary Policy

We study the relationship between banking competition and the transmission of monetary policy through the bank lending channel. Using business small loan origination data provided from the Community Reinvestment Act from 1996-2002 in our analysis, we are able to reaffirm the existence of the bank lending channel of monetary transmission. Moreover, we find that the impact of monetary policy on loan originations is weaker in more concentrated markets.
A simple two-dimensional parameterisation for Flux Footprint Prediction (FFP)

Abstract. Flux footprint models are often used for interpretation of flux tower measurements, to estimate position and size of surface source areas, and the relative contribution of passive scalar sources to measured fluxes. Accurate knowledge of footprints is of crucial importance for any upscaling exercises from single site flux measurements to local or regional scale. Hence, footprint models are ultimately also of considerable importance for improved greenhouse gas budgeting. With increasing numbers of flux towers within large monitoring networks such as FluxNet, ICOS (Integrated Carbon Observation System), NEON (National Ecological Observatory Network), or AmeriFlux, and with increasing temporal range of observations from such towers (of the order of decades) and availability of airborne flux measurements, there has been an increasing demand for reliable footprint estimation. Even though several sophisticated footprint models have been developed in recent years, most are still not suitable for application to long time series, due to their high computational demands. Existing fast footprint models, on the other hand, are based on surface layer theory and hence are of restricted validity for real-case applications. To remedy such shortcomings, we present the two-dimensional parameterisation for Flux Footprint Prediction (FFP), based on a novel scaling approach for the crosswind distribution of the flux footprint and on an improved version of the footprint parameterisation of Kljun et al. (2004b). Compared to the latter, FFP now provides not only the extent but also the width and shape of footprint estimates, and explicit consideration of the effects of the surface roughness length. The footprint parameterisation has been developed and evaluated using simulations of the backward Lagrangian stochastic particle dispersion model LPDM-B (Kljun et al., 2002). Like LPDM-B, the parameterisation is valid for a broad range of boundary layer conditions and measurement heights over the entire planetary boundary layer. Thus, it can provide footprint estimates for a wide range of real-case applications. The new footprint parameterisation requires input that can be easily determined from, for example, flux tower measurements or airborne flux data. FFP can be applied to data of long-term monitoring programmes as well as be used for quick footprint estimates in the field, or for designing new sites.
RELAKSASI DZIKIR UNTUK MENINGKATKAN KESEJAHTERAAN SUBJEKTIF REMAJA SANTRI

This study was an experimental research with randomized pretest-posttest control group design. The subjects of this study were students at muslim school of 12-16 years old. In the study group consisted of experimental and control groups. The experimental group received relaxation with dzikir training for four meetings with the duration of each meeting 1-2 hours. The scale of subjective well-being is adapted from the SWLS scale (satisfaction with life scale) developed by Diener, Emmons, Larsen, and Griffin (1985), and the positive and negative affect schedule from Watson, Clark, and Tellegen (1988). Data were analyzed using t-test based on gain score. The results showed that there was a significant difference in subjective well-being between experiment and control group Sig (p) = 0.001 (p <0.01). The conclusions showed that the level of subjective well-being of the adolescent have increased after being given the intervension of relaxation with dzikir. These results are also supported by observational and interview data that indicated that in general the participants in the intervention reported perceived change after the training, such as the feeling of feel restful, more comfortable, relieved, confident, eager, and more grateful to God’s favor.
Violence prevention 1 Running Head: VIOLENCE PREVENTION AND EDUCATIONAL ATTAINMENT Creating a Peaceful School Learning Environment: The Impact of a Violence Prevention Program on Educational Attainment

The impact of a violence prevention program on the school learning climate in five elementary schools over a 5-year period was investigated using a multiple baseline design. Academic attainment test scores of 1,106 students were monitored before and after the introduction of the program across the school district and were contrasted with the attainment scores over the same period of 1,100 individually matched students from the school district who were not in schools that joined the program. Program participation was associated with highly significant improvements in individual achievement test scores as well as notable reductions in scores in those students who left schools with active programs. A simple, low cost anti violence intervention, designed to reduce peer conflicts that interfere with the educational process, appears to significantly benefit educational performance of children in participating elementary schools.
Bargaining in institutionalized settings: The case of Turkish reforms

By analyzing the case of a bargaining situation in an institutionalized setting, which derives from Turkey’s reform process in a sensitive issue area (civil—military relations), this study assesses the explanatory power of competing models of bargaining: rational, normative, and discursive/argumentative . The bargaining outcome in this case was puzzling because despite the existence of a strongly pro-status quo veto player (i.e. the military), the bargaining processes led to a new status quo.This study shows that the veto player simply failed to prevent a shift to a new status quo because such an action would do substantial damage to the military’s ideational concerns (normative entrapment). The rational model remains under-socialized, while the discursive model is over-socialized in analyzing this bargaining situation. Although the normative model sheds more light on this puzzling outcome, a synthesis between normative and rational models would provide us with much better insight.
Samsung and University of Edinburgh’s System for the IWSLT 2018 Low Resource MT Task

This paper describes the joint submission to the IWSLT 2018 Low Resource MT task by Samsung R&D Institute, Poland, and the University of Edinburgh. We focused on supplementing the very limited in-domain Basque-English training data with out-of-domain data, with synthetic data, and with data for other language pairs. We also experimented with a variety of model architectures and features, which included the development of extensions to the Nematus toolkit. Our submission was ultimately produced by a system combination in which we reranked translations from our strongest individual system using multiple weaker systems.
A systematic review of men’s views and experiences of infant feeding: implications for midwifery practice

It is understood that men can perform an important role with respect to infant feeding, although questions remain as to how significant this role might be. In addition, much of the research on men and infant feeding is information gathered from women, rather than from the men themselves. In order to explore these issues further, a systematic review of the qualitative research in infant feeding has been carried out, focusing only on studies that have sought to elicit men’s own views and experiences. Evidence was identified through a variety of search strategies including database searching and manual citation searches, as well as searching the grey literature for unpublished data. A total of 20 research papers were included in the review and each study was summarised and analysed thematically to produce a synthesis. Five major analytical themes were identified: men’s knowledge of infant feeding; men’s views of health promotion; men’s role in infant feeding; men’s positive views on breastfeeding; and men’s negative views on breastfeeding. This paper explores these themes in the context of what the research implications might be for midwives and their practice.
Healthy Body and Healthy Mind: A Study of the Relationship between BMI and Soldier Resilience

Abstract : The purpose of this project is to evaluate the ability of body mass index (BMI) to predict mental resilience in US Army Soldiers. The hypothesis of this proposed study is that Soldiers with a lower BMI will have a higher mental resilience against stress, and will therefore be less likely to develop PTSD while in combat. Our belief is that BMI will be a significant predictor in comparison to the subjective testing associated with the current Global Assessment Tool (GAT).
Intelligent Arabic Sign Language to Arabic text Translation for Easy Deaf Communication

This paper presents an intelligent translation system for the signs of some words and letters in the Arabic sign language. The proposed translation system does not depend on any visual markings or gloves used to complete the recognition process. The proposed translation system deals with images, which allows the user to interact with the system in a natural way. The proposed translation system consists of four main phases; Preprocessing images phase, feature extraction phase, matching strategy phase, and Display Text Translation phase. The extracted features used are combining intensity histogram features and Gray Level Co-occurrence Matrix (GLCM) features, Experiments revealed that the proposed system was able to recognize the 19 Arabic alphabets and word with an accuracy of 73%.