Miracle-dz/UniFAR-FTUs huggingface dataset:
Psychological characteristics in patients with non-cardiac chest pain

Background/Aim. Chest pain of no heart origin resembles angina and when none medical reason is found, the patients are referred to psychiatrist for further assessment. The aim of this reserch was to determine psychological characteristics of the patients with non-coronary chest pain (NCCP), difference compared to the coronary patients and the predictive value of those parameters for NCCP. Methods. Fourty consecutively recruited patients without a diagnose of heart disease (NCCP group) were examined and compared to 45 coronary patients (C group). For psychiatric diagnose, the Mini-International Neuropsychiatric Interview (MINI) was used. Psychological symptoms were assessed by the Symptom Checklist-90-Revised (SCL-90R), exposure to life events was scored by the Holms &Rahe Scale and levels of anxiety and depressiveness by the Back Anxiety Inventory and Back Depression Inventory. The statistical analysis was done by using the software package SPPS17. The Student? s- t test and ? 2-test were used for estimating more difference between groups while ANOVA determined parameters associated with NCCP. Results. The NCCP patients were younger (33.40 ? 5.43 vs. 48.37 ? 6.43, p < 0.001), more anxious (20.47 ? 11.93 vs. 9.63 ? 3.86, p < 0.001), had more exposure to life events (102.03 ? 52.22 vs. 46.5 ? 55.08, p < 0.001) and were more distressed (41.37 ? 7.70 vs. 29.37 ? 5.67, p < 0.001), while coronary patients were more depressed and hostile. The regression analysis indicated that elevation in anxiety score for 1 point, means 25% of a higher chance [odds ratio (OR) = 1.25; 95% confidence interval (CI): 1.10? 1.41] and elevation in the Life events score, means 2% of a higher chance that subject belonged to the NCCP group (OR = 1.02; 95% CI: 1.01? 1.03). The younger subjects were more likely to have non-cardiac chest pain (OR = 0.58, 95% CI: 0.42? 0.80). Conclusion. The results suggested that the patients with NCCP had none associated psychiatric disorder, but showed higher distress level, more exposure to negative life events and moderate anxiety level. Psychological help could be of a benefit to prevent possible psychiatric issues in young people with non-cardiac chest pain.
The Influence of Science and Technology Park Characteristics on Firms’ Innovation Results

The effectiveness of Science and Technology Parks (STPs) as instruments of innovation policy has generated thriving debate among academics, practitioners and policy makers. However, research mostly does not consider STPs’ heterogeneity. The present paper analyses the influence of different STP characteristics on their tenants'performance. Using data on 849 firms and 25 STPs from the 2009 Community Innovation Survey for Spain and a survey of STP managers respectively, we find that: (i) firms located in very new or longer established STPs show better innovative performance; (ii) the size of the STP and its management company positively affects the innovative performance of tenants while services provision has no effect on firms’ achieving better results; and (iii) firms in less technologically developed regions benefit more from location in an STP.
The Effects of Minimum Wages on Training

This study examines how minimum wages affect on-the-job training and worker-initiated training using micro data on Japanese female workers, and is the first to use the difference-in-difference-in-differences method to estimate this effect in a Japanese context. The estimation results show that a 1% increase in minimum wages causes a 2.5% decline in the formal training of female workers with no college education, but no statistically significant decrease in informal training. Assuming that the general components form a large portion of formal training and that firm-specific components are a large part of informal training, we regard the former as general training and the latter as firm-specific training. Therefore, the results indicate that minimum wage increases affect general training more than firm-specific training as predicted by economic theory. Concurrent with the decrease in formal training, the results also show that a 1% increase in minimum wages causes a 3.6% decrease in worker-initiated training activities among this group. This suggests that there is no evidence of workers increasing their self-learning activities to compensate for the decreasing skill development opportunities in the workplace. Thus, increases in minimum wages could lead to skill development inequality between unskilled and skilled workers.
MODULATION OF RAINFALL BY LAKE TITICACA USING THE WRF MODEL

Rainfall over Lake Titicaca occurs in the form of nocturnal lake-induced convective storms. They represent ~55% of the lake’s water input and therefore have implications in climate and paleoclimate scales. This study uses the Weather Research and Forecasting (WRF) model to investigate the role of the lake in the modulation of these storms. The goals are to improve regional weather and climate forecasts and to provide information about the role of lakes on dryto-wet transitions in the altiplano. The results point to low-level convergence and moisture as essential for the development and maintenance of the storms. The mid-tropospheric flow also seems to play an important role in their enhancement or suppression based on the interaction with local circulations induced by orography. Weak southeasterly flow favors storm development. Strong flow, especially from the northeast, suppresses storm development by shifting the region of low-level convergence away from the source of heat and moisture.
Intelligent Scheduling Optimization of Seasonal CCHP System Using Rolling Horizon Hybrid Optimization Algorithm and Matrix Model Framework

The optimal operation of a combined cooling, heating and power (CCHP) system depends on its structure and adopted energy dispatch strategies. This paper proposes a matrix modeling method for the CCHP system structure, in which multi-energy supply is regarded as the input of system, and cooling, heating, electric load as the output of the system. The energy flow from the system input to output includes the scheduling matrix, the efficiency matrix, and the energy conversion matrix model. Adopt mixed rolling-horizon and particle swarm optimization algorithm to allocation the system scheduling factor to promote optimal operation of CCHP systems. According to the characteristics of input and output energy flow in different seasons of a certain area, the system is simulated and calculated. The results show that the adoption of rolling-horizon optimization for the thermal-electric load in winter can fully calculate the three scheduling strategies and select the optimal strategy in the rolling window. Compared to other methods, the optimization of scheduling factors in summer highlights the low-cost benefits.
Analysis and design of a DC voltage-controlled static VAr compensator using quad-series voltage-source inverters

This paper presents a DC voltage-controlled static VAr compensator (SVC) using quad-series voltage-source non-PWM inverters. The SVC consists of four three-phase voltage-source inverters having a common DC capacitor and four three-phase transformers, the primary windings of which are connected in series with each other. Although each inverter outputs a square wave voltage, the synthesized AC voltage of the SVC has a 24-step waveshape. This results not only in a great reduction of harmonic currents and DC voltage ripples but also in less switching and snubbing losses. This paper develops the analysis of the transient response and the resonance between the AC reactors and the DC capacitor, with the focus on practical use. Experimental results obtained from a 10-kVA laboratory system are shown to agree well with the analytical results, thus verifying the analysis and leading to the design of DC capacitance value.
Estimating Dynamic Treatment Effects from Project STAR

This paper considers the analysis of data from randomized trials which offer a sequence of interventions and suffer from a variety of problems in implementation. In experiments that provide treatment in multiple periods (T>1), subjects have up to 2^{T}-1 counterfactual outcomes to be estimated to determine the full sequence of causal effects from the study. Traditional program evaluation and non-experimental estimators are unable to recover parameters of interest to policy makers in this setting, particularly if there is non-ignorable attrition. We examine these issues in the context of Tennessee's highly influential randomized class size study, Project STAR. We demonstrate how a researcher can estimate the full sequence of dynamic treatment effects using a sequential difference in difference strategy that accounts for attrition due to observables using inverse probability weighting M-estimators. These estimates allow us to recover the structural parameters of the small class effects in the underlying education production function and construct dynamic average treatment effects. We present a complete and different picture of the effectiveness of reduced class size and find that accounting for both attrition due to observables and selection due to unobservables is crucial and necessary with data from Project STAR
A SEMI-ELLIPTICAL WIDEBAND PHASE SHIFTER

A new microstrip structure for realization of wideband phase shifter has been designed and fabricated. The proposed design uses edge-coupled semi-elliptical structure and an elliptical defected ground plane to increase the coupling coe-cient and operating bandwidth. Simulation performed using CST Microwave Studio and measured results conflrm the good performance of the proposed design. The phase deviation is better than §4 - , insertion loss less than 0.6dB and return loss better than 10dB over a wide frequency range. The achievable bandwidth is more than 2.3 : 1.
Genetic evaluation of popcorn families using a Bayesian approach via the independence chain algorithm

The objective of this study was to examine genetic parameters of popping expansion and grain yield in a trial of 169 half-sib families using a Bayesian approach. The independence chain algorithm with informative priors for the components of residual and family variance (inverse-gamma prior distribution) was used. Popping expansion was found to be moderately heritable, with a posterior mode of h2 of 0.34, and 90% Bayesian confidence interval of 0.22 to 0.44. The heritability of grain yield (family level) was moderate (h2 = 0.4) with Bayesian confidence interval of 0.28 to 0.49. The target population contains sufficient genetic variability for subsequent breeding cycles, and the Bayesian approach is a useful alternative for scientific inference in the genetic evaluation of popcorn.
Recovering Ability of Upland and Rainfed Lowland Rice Varieties against Rice Tungro Disease

Rice tungro is the most destructive and widespread among virus diseases found in almost all rice growing areas. In susceptible varieties, it causes 100% yield loss under favourable environmental conditions. Control of tungro disease by chemical applications is not effective and eco-friendly. Development of resistant variety against tungro is also difficult, because it is necessary to develop resistance either to the insect vector or to the virus or to the both. Identification of varieties with recovering ability will facilitate farmers to cultivate rice in tungro endemic areas. Bangladesh Rice Research Institute released six upland and eight rainfed lowland rice varieties, which were tested to evaluate their recovering ability against tungro disease. The test varieties including susceptible and resistant checks were artificially inoculated by viruliferous vector (Green leafhopper, Nephotettix virescens) of ten days after seeding in net house condition. Among the tested varieties BR26, BRRI dhan33 and BRRI dhan40 were the most susceptible and showed high infection rate against tungro disease. BRRI dhan37 and BR8 showed the highest recovering ability in rainfed lowland and upland rice, respectively, with the lowest yield reduction compared to the resistant check Kumragoir, which could be used in tungro endemic areas. From these investigations, all the tested varieties expressed distinct tungro disease symptoms after three weeks of inoculation. With the advancement of plant growth, varieties BR8 and BRRI dhan37 recovered from tungro syndrome due to their genetic makeup consisting tolerance potentiality showed better yield, while other varieties like BRRI dhan33 and BRRI dhan40 did not produce any grain yieldBangladesh Rice j. 2017, 21(1): 91-100
SYNTHESIS AND CHARACTERIZATION OF Fe 3 O 4 MAGNETIC NANOFLUID

Ferrofluids are colloidal systems composed of single domain of magnetic nanoparticles dispersed in a liquid carrier. In the present work, Fe 3 O 4 magnetic ferrite nanoparticles were synthesized by chemical coprecipitation method, and were coated with oleic acid as surfactant agent. Magnetic properties of nanoparticles in ferrofluids were investigated with the aid of a vibrating sample magnetometer (VSM) at room temperature. Superparamagnetic behavior, characteristic of magnetic nanoparticles, was determined from the hysteresis loop of M vs. H measurements. The sample as powder was characterized by means of X-ray diffraction. XRD pattern result shows the presence of the most intense peak corresponds to the (311) crystallographic orientation of the spinel phase of Fe 3 O 4 magnetic nanoparticles. The mean size of the nanoparticles was determined from the X-ray diffraction pattern by using the Scherrer approximation. The particle size was calculated to be 9.64 nm. Atomic Force Microscopy was used to visualize the morphology of nanoparticles and to measure their diameter. The AFM method showed an average nanoparticles diameter of D N = 15.3 nm. FTIR absorption spectroscopy was used to confirm the formation of Fe–O bonds, allowing to identify the inverse ferrites spinel structure, as well as, the presence of other chemical substances adsorbed on the surface of particles. Los ferrofluidos son sistemas coloidales compuestos de nanoparticulas magneticas con mono-dominios magneticos, dispersas en un liquido portador. En el presente trabajo, nanoparticulas magneticas de ferrita (Fe 3 O 4 ) se sintetizaron por el metodo de co-precipitacion quimica, y se recubrieron con acido oleico como agente surfactante. Las propiedades magneticas de las nanoparticulas en el ferrofluido fueron investigadas por medio de un magnetometro de muestra vibrante (VSM) a temperatura ambiente, mostrando un comportamiento superparamagnetico, caracteristico de estas nanoparticulas magneticas. Esto se determino a partir de la curva de histeresis de M vs H. La muestra en polvo se caracterizo por medio de Difraccion de Rayos X. El patron DRX resultante muestra la presencia del pico mas intenso correspondiente a la orientacion cristalografica (311) de la fase espinel para las nanoparticulas magneticas de Fe 3 O 4 . El tamano medio de las nanoparticulas se determino a partir del patron de difraccion de rayos X utilizando la aproximacion de Scherrer, siendo este tamano medio de 9,64 nm. La microscopia de fuerza atomica, se utilizo para visualizar la morfologia de las nanoparticulas y para determinar su diametro. Las medidas de AFM muestran un diametro promedio para las nanoparticulas de DN = 15,3 nm La espectroscopia de absorcion FTIR se utilizo para confirmar la formacion de los enlaces Fe-O, permitiendo identificar la estructura tipo espinela de la ferrita, asi como la presencia de otras sustancias quimicas adsorbidas en la superficie de las particulas.
Towards Effective Automatic Feedback for Simulator Training

The presence of an expert instructor during simulator training is of great importance for the trainees, if not indispensable. The instructor’s role is to give feedback and guide the trainees to help them make the right decisions on time as effectively as possible. The instructor starts or pauses the training scenarios when needed and facilitates reflection during and after the scenarios. However, the fact that simulator-training sessions are very dependent on the participation of a guiding instructor can be a drawback, since there are not always sufficient expert instructors to fulfil the training demands. In this work, an intelligent tutoring system (ITS) is proposed as an automatic feedback solution for simulator training. It is based on effective assessment of the system conditions using a clustering based anomaly detection technique as a core component. Furthermore, we provide insights into the design of a proper interface for our ITS. The article presents the methodology for developing such a system which consists of three stages: data collection, data analysis and delivering feedback.
Industrial Employment Growth in Spanish Regions - the Role Played by Size, Innovation, and Spatial Aspects

The article analyses the role played by size and innovation in the growth of industrial employment in Spain during the period 1998-2002. The analysis is conducted using two different approaches: first of all, it studies the relationship, for seventeen Spanish regions, between industrial employment growth and the share of small firms and the presence of high and medium-high technological industries, following Camagni and Capello methodology. Secondly, it uses microdata, at firm level, in order to estimate the significance of size and innovation in the employment growth of those firms, also including regional variables for better explain the changes in employment. The results at regional level for the Spanish case show that there is no a relationship between industrial employment growth and the share of small firms and technological development of the regions. Similar results are obtained estimating a Heckman model using microdata. Independently of the definition of employment used, GibratÂ´s law is accepted, showing that size is not a significant variable in order to explain the growth of firms. On the contrary, innovation, specially process innovation, plays an important role in the survival and growth behaviour. The regional variables are not significant, exception made of the share of industry in total employment of regions: the bigger the industrial sector, the higher the growth of employment at firm level.
Ultra-short pulsed laser PDMS thin-layer separation and micro-fabrication

Thin-layer separation and micro-fabrication of poly(dimethylsiloxane) (PDMS) polymers are conducted via an ultra-short pulsed laser having a pulse width of 900 fs and lasing at an infrared wavelength of 1552 nm. The plasma-mediated ablation threshold of the PDMS is analyzed as 4.6 J cm−2 for single pulse irradiation. The threshold reduces with increasing pulses due to the accumulation effect, and the incubation factor is obtained as 0.52. The influences of two key factors—pulse overlap rate and irradiation pulse energy—on the ablation line width, internal ablation interface depth and ablation surface quality are scrutinized. To achieve quality separation and fabrication without visible thermal damage, a proper pulse overlap rate range of 1–2 pulses µm−1 is found with a modest irradiation pulse energy range of 1–1.5 µJ. Complete separation of thin PDMS layers of 20 µm thickness is realized. The separated thin layer is uniform, having a thickness fluctuation of ±1 µm. A multi-width micro-channel interconnected network is fabricated, and the SEM images show that the ablation surface roughness is close to the depth of focus.
Some Aspects of 2-Fuzzy 2-Normed Linear Spaces

This paper defines the concept of 2-fuzzy 2-normed linear space. In the 2-fuzzy 2-normed space, -2-norm is defined corresponding to the fuzzy 2-norm. Standard results in fuzzy 2-normed linear spaces are extended to 2- fuzzy 2-normed linear spaces. The famous closed graph theorem and the Reisz theorem is proved in the realm of 2-fuzzy 2-normed linear spaces.
A REVIEW OF MINING TECHNOLOGIES FOR SPACE

It is a truism that if humanity wants to expand its horizons to Moon and other planets the area of mining in space has to go along. In the present paper a brief review of literature in terms of different mine unit operations is undertaken. The present paper gives a quick outlook as to where we stand in terms of technologies, which can be applied to space mining applicaions
Gender Differences and Emotional Expressiveness on Facebook: An Analysis of Prosodic Features among Jordanian Facebookers

Despite seemingly countless studies addressing emotional expressiveness, most of these studies were focused on western communities, neglecting the Arab community in general, and the Jordanian discourse in particular. The purpose of this paper is to examine how paralinguistic features of emotional expression are used by male and female Jordanian Facebookers. A total of 100 participants, 50 males and 50 females, took part in this study, all of whom were native Jordanians. The current study was conducted by utilizing the “Web for corpus building” approach, as the data has been extracted manually from Facebook status updates, comments on other users’ status updates, photos, wall posts and so on. The findings revealed that women experience and express emotions more often than men in general. More studies with different contextual factors (e.g., age, social status, and ethnicity) and a different sources of data collection (e.g., face-to-face interaction, role plays, and observation) are recommended for future studies.
MODELING STOCK MARKET BOOMS

This paper examines a DSGE model which covers the observed co-movements of stock market boom and bust episodes in the 1980’s and 1990’s and the economy. The boom episodes within the model are triggered by news shocks about the future technology. By including nonseparable preferences and nominal rigidities, the model explains the simultaneous rise of consumption, output, investments, hours worked, and wages during a boom and the subsequent bust. Furthermore, featuring a standardized monetary authority, the model also replicates the observed fact of a declining inflation during the boom episodes. As a result the model allows for a more fundamental discussion of central bank activism during stock market booms. The paper concludes that a monetary authority which is not only "strict" inflation-targeting can reduce the welfare losses through stock market booms.
NEW DESIGN PRINCIPLES FOR RUBBLE MOUND STRUCTURES

This paper describes the effect of wave period on the stability of rubble mound breakwaters. Introductorily wave run-up and run-down on smooth slopes and on rubble mounds were measured, and breaker types were observed and recorded for different incoming wave and slope characteristics. The surf similarity parameter, 5 = , 9° = /-~ • ~^r ' T was found practical for /H/L0 / 2TT /H description of breaker type, run-up and run-down on both smooth and permeable slopes. Pressure measurements along the smooth slopes and in the core of a rubble mound were undertaken with two different core materials. It was shown that the most dangerous condition for the stability of rubble mounds occurs at the so-called "resonance condition". Resonance refers to the situation that occurs when run-down is in a low position and collapsing- plunging wave breaking takes place simultaneously and repeatedly at or close to that location. This corresponds to a range of E, values in between 2 and 3. Photographic instrumentation was introduced and tested to quantify the initial damage on a rubble mound. This paper is a 1/3 abstact of a thesis for the Dr. Eng. degree by Ali Riza Giinbak.