Miracle-dz/UniFAR-FTUs huggingface dataset:
URBAN EFFECTS ON REGIONAL SURFACE TEMPERATURE SERIES OF SOUTH KOREA

Unusual upward trends of surface temperature over recent decades have received much attention with an increasing interest in climatic changes due to natural causes and man-induced CO2 effects. The IPCC WG1 Third Assessment Report concluded (IPCC, 2001), “In the light of new evidence and taking into account the remaining uncertainties, most of the observed warming over the last 50 years is likely to have been due to the increase in greenhouse gas concentration. ” However, there have been suggestions that a proportion of the longterm warming trend may be related to some nonclimatic factors. The urban effect is considered as the most serious source of errors identified in the land surface climatological measurements and is believed to exist in all of the most widely used global and regional land surface. Therefore, to quantify the magnitude of urban bias is considered vital for the detection and monitoring of possible long-term trends associated with increasing concentrations of atmospheric greenhouse gases even though a precise correction of error cannot be achieved. However, a few studies (Kim et al. 1999) have conducted to examine the effect of urban bias in surface temperature series of South Korea. Their results suggested the warming rate of 0.3-0.4°C in annual mean surface temperature due to urban effects for the recent 20-30 years in South Korea. The purpose of this paper is to produce the urban bias-adjusted surface temperature series in South Korea estimating quantitatively the magnitude of urban bias in the regional surface temperature series.
Restarting the Information Society Based on Blockchain Technology

Social sciences literature claims that humanity is traversing a development stage generically called knowledge based informational society. It also anticipates another development horizon characterized by the explosion of artificial intelligence, corroborated with ever more spectacular development of information and communication technology. If we associate it with one of the most recent technologies dedicated mainly to information security – blockchain technology, we can certainly talk about a rebooting of informational society. Being itself a revolution, we will argue in this paper the level of influence blockchain has on business architectures, financial services, anti-plagiarism solutions, real estate transactions, economy, society, electoral processes and democracy as a whole. The ecosystem that supports all these transformations, developed and embedded in the global internet is IOT – Internet of Things.
STUDY OF CHLORINATED ETHYLENES REMEDIATION BY NON-STABILIZED AND SI- STABILIZED NANOIRON

This study deals with the ability of nanoscale zero-valent iron particles (NZVI) to decompose chlorinated ethylenes. Chlorinated ethylenes are common contaminants found on many sites in the Czech Republic. The application of NZVI suspension is a very useful technique for cleaning up these sites. In the study, batch experiments were performed to simulate an in situ chemical reduction remediation technology. We studied an interaction of an aqueous suspension of nanoiron particles RNIP-10APS (TODA Kogyo Corp.) with tetrachlorethylene (PCE) and trichloroethylene (TCE). In the original NZVI suspension, the particles agglomerate quickly after preparation. Therefore, we proposed an environmental friendly and cost effective method of NZVI stabilization by silicate stabilizing agent. This method prevents the particles from aging and agglomerating. The main goal was to compare the ability of the original NZVI and the Si-stabilized NZVI to decompose selected contaminants. The used stabilizing Si-agent forms protective barrier around the NZVI particles so they stay dispersed and in submicron size. This fact was confirmed by SEM analysis. The conditions of the batch experiments were set up to simulate a full-scale in situ NZVI application. The NZVI concentration was in experiments approximately 2.5 g/L. During the experiments, we obtained kinetic parameters of the decomposition which we used to evaluate the ability of both NZVI suspensions to decompose the studied contaminants. In the case of the original NZVI suspension, the degradation rate of TCE was higher than the degradation rate of PCE. In the case of stabilized NZVI, limited degradation ability was observed in some cases.
Running head : MIMICRY PREDICTS ATTITUDE CONTAGION 1 Mimicking Others ’ Nonverbal Signals Increases Attitude Contagion *

Observing nonverbal signals being directed toward unfamiliar individuals is known to influence attitudes and behavior toward those individuals. Specifically, observing biased nonverbal signals in favor of one individual over another can produce nonverbal signal-consistent attitudes among preschool children. Research has shown that people have a tendency to mimic the behavior of others and the phenomenon of mimicking another’s nonverbal emotional response and “catching” their emotions has long been established. However, it has yet to be examined whether this phenomenon can facilitate attitude contagion. We hypothesized that preschool children who mimic the biased nonverbal signals of others are more likely to adopt their social attitudes. Our findings provide initial support for the notion that mimicking others’ nonverbal signals is associated with a greater likelihood of attitude contagion. Results of the current study indicated that the effect of mimicry increased with age among boys and decreased with age among girls. This study provides initial evidence that emotional mimicry may partially mediate the effect of nonverbal signals on attitudes.
Joint Power Control and Resource Allocation Algorithm based on Dynamic Grouping

When D2D communication is introduced into cellular system and share cellular wireless resource with cellular users, the interference between these two communication system can’t be ignored. Therefore, the interference management of D2D communication is one of the important subjects. In this paper, an algorithm based on dynamic grouping for resource allocation and joint power interference control is proposed. Through the dynamic grouping of D2D users and power control, the resource is allocated to the D2D users these in the same group, which can make the total capacity of system reaches the maximum. Simulation results confirm that our proposed scheme achieves larger throughput and higher acceptance rate of D2D in the system compared with random assignment scheme and fixed grouping scheme.
Effect of Multidisciplinary Communication Among Physicians to Management of Postoperative Stroke underwent Carotid Disease in Octogenarians

Effect of Multidisciplinary Communication Among Physicians to Management of Postoperative Stroke underwent Carotid Disease in Octogenarians Tugra GENCPİNAR, Kadir SAGDIC, Muzaffer YİLMAZ, Ali KAVAKLİ, Hamid ELLİDAG, Mustafa EMMİLER Research Hospital, Cardiovascular Surgery, Antalya, Türkiye Research Hospital, Neurology, Antalya, Türkiye Research Hospital, Anaesthesia, Antalya, Türkiye Research Hospital, Biochemistry, Antalya, Türkiye
THE ASSESSMENT OF ANTHROPOMETRY AND SELECTED BODY COMPOSITION PARAMETERS AS PREDICTOR OF BASAL METABOLIC RATEOF FEMALE UNIVERSITY UNDERGRADUATES

This quasi-experimental study is based on the assessment of anthropometry and selected body composition parameters as predictor of basal metabolic rateof female university undergraduates . The sample consisted 110 female undergraduate students from the College of Medicine and Health Sciences in Afe Babalola University, Ado Ekiti. Age, height, weight and body composition parameters of Body Mass Index (BMI), Waist Circumference (WC), Hip Circumference (HC), Waist to Hip ratio (WHR), Waist to Height Ratio(WHtR) and Basal Metabolic Rate (BMR) of the students were variables considered for the study. The descriptive statistics of frequency, percentage counts, mean, standard deviation, standard error of mean, pearson product moment correlation coefficient and regression analysis were used for data analysis at 0.05 alpha level. The pearson product moment correlation coefficient results showed strong positive relationship between BMI and WC (r=.642), BMI and HC (.619), WC and HC (.649), WC and WHR(.713), BMI and BMR (.841), HC and BMR (.608), BMR and WC (.583). The regression result revealed that age r=. 046(r2=.002, p<.005)was not significant; height r=. 328(r2=.108, p<.005) was significant; weight r=. 993(r2=.987, p<.005) was significant; BMI r=. 841(r2=.707, p<.005) was significant; WC r=. 583(r2=.340, p<.005) was significant; HC r=. 608(r2=.369, p<.005) was significant; WHR r=. 200(r2=.040 p>.005) was not significant; WHtR r=. 448(r2=.200) was significant.In conclusion, the result of the findings showed that age and WHR were not significant predictors of BMR.
Applicability Of Acoustic Capacity In Regulations Based On Study Of Noise Enviroment In Danish Nusery Schools

The room acoustics of 20 nursery school rooms in day-cares (age 0.5-2.5 years) or pre-schools (age 2.5-6.0 years) were investigated by means of reverberation time measurements according to 3382-2:2008, registration of significant acoustical surfaces and noise sources, and interviews. The investigations were part of a project run by The Danish Ecological Council including 20 nursery schools representative for the current Danish building stock, that investigates numerous indoor climate parameters. In Denmark reverberation time according to building code is argued to relate to acceptable noise environment in nursery schools [1]. Although most rooms lived up to building code, interviews of employees indicate noise problems still exist. Observations showed that, there were relations between ceiling types and how fast reverberation time increases with volume. The smallest and largest rooms had seldom wall absorbers, whereas mid-size rooms often had wall absorbers. This lead to investigations of acoustic capacity in the rooms similar to the suggestions by Rindel for restaurants [2]. Conservative estimates of Lombard effect of small children and number of “talkers” were made for the basis of ranges for appropriate reverberation time vs. m/child. It was found that a large majority of rooms did not have sufficient conditions and almost none fit the criterion for satisfactory acoustic capacity.
The Effect of Water Additive Commercial ( KimchiStoc ® ) on Natural Avian Influenza Virus Infection of Broiler Chickens : Pathological and Immunopathological Approach

Avian influenza virus (AIV) infection in chickens causes huge economic losses so that a solution is needed to overcome outbreak, namely through vaccination. However, administration of AIV vaccines can possibly initiate AIV subclinical infections in chickens. Therefore, another alternative approach is needed to prevent AIV infection, one of them is water additive commercial (KimchiStoc® ). The purpose of the present study was to study effect of KimchiStoc® against natural AIV infection in broiler chickens on a commercial farm. In the present study, 55 DOC broiler chickens were used as experimental animals for 35 days. Before supplementation (Week-0), five DOCs were randomly selected, necropsied and the lungs were collected. Fifty remaining DOCs were divided randomly into 2 groups of 25 each. The first group was chickens without supplementation of KimchiStoc® (G1), while the second group was chickens supplemented with KimchiStoc® 0.2% with a dose of 5 days/week (G2). Observations were carried out for 5 weeks. Each week five chickens in each group were randomly necropsied. Lungs were collected and detected for AIV by using immunopathological immunohistochemical streptavidin biotin (IHC SB) The results showed that the spread of AIV in broiler chickens occurred in DOC until the fifth week. IHC SB test can be applied to detect AIV-infected broilers subclinically. The KimchiStoc® can prevent the natural infection of AIV in at least the third week after KimchiStoc® administration.
Estimation in a Marked Poisson Error Recapture Model of Software Reliability

Estimation in a Marked Poisson Error Recapture Model of Software Reliability Rajan Gupta Old Dominion University, 1991 Director: Dr. Larry Lee Nayak’s {1988) model for the detection, removal, and recapture of the errors in a computer program is extended to a larger family of models in which the probabilities that the successive programs produce errors are described by the tail probabilities of discrete distribution on the positive integers. Confidence limits are derived for the probability that the final program produces errors. A comparison of the asymptotic variances of parameter estimates given by the error recapture and by the repetitive-run procedure of Nagel, Scholz, and Skrivan (1982) is made to determine which of these procedures efficiently uses the test time. Reproduced with permission of the copyright owner. Further reproduction prohibited without permission.
The Analysis of Customer Continuance Intention towards Go-Food Service using UTAUT2 Model

: In the current era of information and communication technology, communication is very important and needed in everyone's life, business and education. The advantage of this opportunity was taken by Go-Jek Company, in 2015 Go-Jek launched an ordered food by application service called Go-Food. The number of Go-Food partners has now reached 300 thousand. This research aims to analyze factors influencing continuance intention of Go-Food services in Indonesia. A research model used in this research is a Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) which added Trust variable. This study using quantitative method; therefore the data collected through online questionnaire with 402 respondent and the respondent aged 15-60 years old. The data obtained will be tested for reliability and validity using SPSS. The result revealed that there are five factors in the Modified UTAUT2 Model which significantly influence the continuance intention of Go-Food adoption, namely Habit, Trust, Hedonic Motivation, Price Value and Facilitating Condition. In terms of moderating factors, both Age and Gender are not moderating any influences of factors towards Continuance Intention. The model can predict strongly the continuance intention of consumers towards Go-Pay services in Indonesia since the R² is 67.9%. This model can be used by Go-Food management in making decisions to maintain the continuance intention of consumers towards Go-Food adoption by paying attention to those factors and their indicators.
Optimal Operation of Sanitary Pump Stations with Energy Storage During Power Outages

This paper aims to determine the optimal strategy to operate the pump in a sanitary pump station (SPS) to minimize its energy consumption over a specified time window. An SPS collects sanitary waste from nearby neighbourhoods in a city and then pumps the waste to a treatment plant for processing. Sustained operation of SPSs, even during power outages, is critical for the health and safety of urban dwellers. Energy storage can be used to operate the SPS when power from the grid is unavailable. Major challenges in minimizing energy consumption include (i) the nonlinear power characteristic of the pump, and (ii) the uncertainty in predicting the waste deposited into the SPS. We formulate a chance-constrained nonlinear optimal control problem and further devise a tractable solution strategy. We illustrate the energy savings obtained with the proposed control over the existing one.
Changes in activities of antioxidant enzymes during Chenopodium murale seed germination

The activities and isoenzyme pattern of catalase (CAT), superoxide dismutase (SOD) and peroxidase (POD) have been studied during germination of Chenopodium murale seeds. CAT and SOD activities were similar in dry seeds and during first 2 d of imbibition. CAT activity increased during radicle protrusion and early seedling development. The maximum SOD activity was found at final stages of germination and early seedling development. POD activity was not detected until the 6 day of germination, indicating POD involvement not until early seedling development. Gibberellic acid (GA3, 160 μM) delayed and synchronized C. murale germination. Additional key words: catalase, gibberelic acid, peroxidase, superoxide dismutase.
Tonotopic sensitivity to supra-threshold hearing deficits of the envelope following response evoked by broadband stimuli

Scalp-recorded electrophysiological Envelope Following Responses (EFRs) have recently gained popularity as an objective measure of supra-threshold hearing deficits (e.g., as caused by cochlear synaptopathy). To explore the frequency specificity of EFRs in diagnosing deficits, we recorded EFRs to sinusoidally amplitude-modulated (AM) white noise carriers with different bandwidths in two participant groups: young normal-hearing control group and a group self-reported hearing difficulties in noisy listening environments. Despite individual variability in EFR strength, the group-means revealed minor response differences in stimuli with different low-frequency content. The limited contribution of auditory frequency channels below 2 kHz to the EFR was confirmed through EFR simulations from a biophysically-inspired model of the human auditory periphery. Further investigation showed that the minor low-frequency contribution stems from the lack of AM coding in individual low-frequency channels, although the overall spike-rate increases for stimulation with wider carrier bands. In conclusion, despite the broadband cochlear excitation, the broadband EFR mostly reflects summed AM coding strength in frequency channels above 2 kHz. To increase the frequency sensitivity of the EFRs it is necessary to carefully investigate the bandwidth and modulation frequency of the stimulus.
1 Predicting Financial Distress : Evidence from Thailand

The objective of this study is to develop the reliable model in predicting the financial distress of nonfinancial firms listed on the Stock Exchange of Thailand (SET). The stepwise logistic regression analysis is employed to a data set of 45 matched pairs of financially distressed and healthy firms over the period of January 2000–March 2009. Results indicate that the final model includes four financial ratios, the return on assets, debt-to-equity ratio, current ratio, and cash flow from operation-to-net income, and three corporate governance variables, the CEO duality, managerial ownership, and institutional ownership. In addition, the final model provides the impressive results in which it demonstrates excellent classification accuracies in one-year prior to the financial distress with the overall classification rate of 95.6%. However, the finding shows that there is no significant impact of macroeconomic variables on the future financial distress. EFM Classification: 110, 130, 150 JEL Classification: G33
Polygonal Tubular Linear Permanent Magnet Generator Analysis and Experimental Test

Free piston generators are of interest due to their efficiency,compact construction, homogeneous nature,and multiple options for combustion.Much of the research into this type of generator has been facilitated by highly-developed internal combustion engine technology.This study was concerned with the design and application of tubular generator.The design model was developed using the matrix laboratory graphical user interface (MATLAB GUI) programming tool, and the designed interface was of the dynamic type.The sizing of the generator was determined in accordance with the main parameters specified via the interface. In addition, as a benefit of using sizing data, the automatic geometry was formed and analyzed using ANSYS Maxwell software.The magnets and the dynamic part of the tubular-structured generator were shaped polygonally.Numerical analyses were made by adopting the finite element method in the software, and construction of the prototype model was based on the results from these findings.The generator was excited by use of the crank rod mechanism to imitate the conditions of a functioning free piston mechanism.Current and voltage values were obtained at mechanical frequencies of 10Hz and 20Hz, and this data was subsequently analyzed.Global code translation was given in attachment in order to allow communication between the ANSYS Maxwell and MATLAB GUI software.
Optimising 3D-CNN Design towards Human Pose Estimation on Low Power Devices

3D CNN-based architectures have found application in a variety of 3D vision tasks, signiﬁcantly outperforming earlier approaches. This increase in accuracy, however, has come at the cost of computational complexity, with deep learning models becoming more and more complex, requiring signiﬁcant computational resources, especially in the case of 3D data. Meanwhile, the growing adoption of low power devices in various technology ﬁelds has shifted the research focus towards the implementation of deep learning on systems with limited resources. While plenty of approaches have achieved promising results in terms of reducing the computational complexity in 2D tasks, their applicability in 3D-CNN designs has not been thoroughly researched. The current work aims at ﬁlling this void, by investigating a series of efﬁcient CNN design techniques within the scope of 3D-CNNs, in order to produce guidelines for 3D-CNN design that can be applied to already established architectures, reducing their computational complexity. Following these guidelines, a computationally efﬁcient 3D-CNN architecture for human pose estimation from 3D data is proposed, achieving comparable accuracy to the state-of-the-art. The proposed design guidelines are further validated within the scope of 3D object classiﬁcation, achieving high accuracy results at a low computational cost.