Miracle-dz/UniFAR-FTUs huggingface dataset:
ACCURATE MEASUREMENT OF A 3D MOVING OBJECT THROUGH CALIBRATION AND SUBPIXEL TECHNIQUES

A high accuracy measurement method for a 3D moving object with specified marks is presented in this paper.Several subpixel image processing algorithms are used to derive the object posion and grating intersections.A new camera calibration and correction method is introduced and used.With these techniques,the 3D movement of objects is measured accurately with multicamera system.
Synthesis and Surface Modification of TiO 2 / Carbon Photocatalyst Produced by Arc Discharge in Ethanol Medium

Preparation and surface modification of TiO2/Carbon by arc discharge method in liquid medium was successfully performed. The process of fabrication was done by arc discharge method using graphite electrodes from the dry cell batteries filled with TiO2 and liquid medium of 50% ethanol with addition 50% acetic acid. The arc discharge was conducted by passing a voltage of 20-40 V and a strong current of 10-50 A. The synthesized nanoparticles produced with addition ofacetic acidhas a better surface than without addition of acetic acid. X-Ray Diffraction (XRD) pattern shows a successful corporation structures between TiO2 and carbon indicated from the presence peaks at25.32 ̊; 26.62 ̊; and 36.02 ̊ which are represented to the main characteristic of TiO2, C graphite, and titanium carbide, respectively. FTIR spectra shows definitive assignments to the successful surface modification of acetic acid addition in ethanol medium used in arc discharge method. The surface modification was able to improve the dispersion performance of nanoparticles interaction with water indicating that the oxygen-containing functional groups was successfully attached onto the nanoparticle surfaces.
Weld Defect Categorization from Welding Current using Principle Component Analysis

Real time welding quality control still remains a challenging task due to the dynamic characteristic of welding. Welding current of gas metal arc welding possess valuable information that can be analyzed for weld quality assessment purposes. On-line monitoring of motor current can be provided information about the welding. In this study, current signals obtained during welding in the short- circuit metal transfer mode were used for real-time categorization of deliberately induced weld defects and good welds. A hall-effect current sensor was employed on the ground wiring of the welding machine to acquire the welding current signals during the welding process. Vector reduction of the current signals in time domain was achieved by principle component analysis. The reduced vector was then classified by various classification techniques such as support vector machines, decision trees and nearest neighbor to categorize the arc weld defects or pass it as a good weld. The proposed technique has proved to be successful with accurate classification of the welding categories using all three classifiers. The classification technique is fast enough so it can be used for real time weld quality control as all the signal processing is carried out in the time domain.
ON THE USE OF COMPLEX EMPIRICAL ORTHOGONAL FUNCTIONS FOR THE TEMPORAL INTERPOLATION OF NWP , RADAR AND SATELLITE DATA

Before merging diverse data, it is regularly necessary to interpolate one data set temporally in order to obtain simultaneity (even if the data sources were available in the same temporal resolution, the problem is still relevant in cases of data outage). Simple interpolation approaches tend to fail in case of noticeably propagating features (the meteorological systems then do not actually move through the interpolated imagery, but slowly vanish at the initial location while gradually appearing at the target location). Therefore following suggestions of earlier publications where such a technique was used for the temporal interpolation of NWP fields in order to get higher-frequency data complex empirical orthogonal functions are extracted from a series of 2-dimensional arrays. After interpolating the phase and amplitude components of the resulting functions, fields of the variable under consideration (i.e. in the present context: satellite-measured brightness temperature, radar reflectivities, NWP forecasts) can be reconstructed for every intermediate point of time. The paper describes some experiments carried out to assess the strengths and limitations of this method.
Javacript Interface Store Changed File Intiate Change Verifier Vote Group Record Changes Verify Change Terminate Voting Blockchain System Javacript Interface Record

Blockchain technology has evolved from being an immutable ledger of transactions for cryptocurrencies to a programmable interactive environment for building distributed reliable applications. Although, blockchain technology has been used to address various challenges, to our knowledge none of the previous work focused on using blockchain to develop a secure and immutable scientific data provenance management framework that automatically verifies the provenance records. In this work, we leverage blockchain as a platform to facilitate trustworthy data provenance collection, verification and management. The developed system utilizes smart contracts and open provenance model (OPM) to record immutable data trails. We show that our proposed framework can efficiently and securely capture and validate provenance data, and prevent any malicious modification to the captured data as long as majority of the participants are honest.
Toward a sustainable environmental management plan for the resorts in the Cox ’ s bazar sea beach : Issues and actions

Sustainable environmental management of a tourist destination benefits all of its stakeholders. The main purpose of this research was to deal with the preliminary step toward a sustainable environmental management, which involved identifying the relevant issues, actions to address those issues, and justifying their importance or feasibility. Toward this, literature review, and focus group discussion and questionnaire (200) survey among employees from the resorts, hotels or similar enterprises in Cox’s bazar had been conducted. The significances or the relationships between the issues and actions were measured based on the reliability of data, correlations/coefficient of determinations (R/R2), and effect size (Eta: η/η2). It has been found that sustainable environmental management of Cox’s bazar sea beach is dependent on waste, biodiversity, energy, water and sanitation, beach erosion reduction, carbon footprint, sustainable communication, and risk management issues. However, waste management has been found as the most prioritized issues. The identified actions have also been found as significant to address the identified issues to bring a substantial change into the current vulnerable environmental situations of the beach. Overall, the participants’ long term commitment, and their intention to jointly programme development and resource sharing are required for successful implementation of the actions.
The Empirical Research on the Correlation Between the Internal Control and Earnings Management in Private Listed Companies

This paper takes the data of private listed companies from 2011 to 2016 as the sample for empirical analysis, and finds that internal control is an important factor in earnings management. There is a significant negative correlation between internal control and accrued earnings management and real earnings management. That is to say, having a good and rigorous internal control system can effectively reduce earnings management. Moreover, compared with earnings management of accounting selective activities, internal control has more restrictive effect on earnings management of real activities.
1 1 Ju l 2 01 9 AVEC ’ 18 Eco-driving with Learning Model Predictive Control

We present a predictive cruise controller which iteratively improves the fuel economy of a vehicle traveling along the same route every day. Our approach uses historical data from previous trip iterations to improve vehicle performance while guaranteeing a desired arrival time. The proposed predictive cruise controller is based on the recently developed Learning Model Predictive Control (LMPC) framework, which is extended in this paper to include time constraints. Moreover, we reformulate the modified LMPC with time constraint into a computationally tractable form. Our method is presented in detail, applied to the predictive cruise control problem, and validated through simulations.
Citizen science meets integrated taxonomy to uncover the diversity and distribution of Corallimorpharia in Singapore

Corallimorpharia is an order of benthic cnidarians with a known global richness of 51 species, most of which are tropical and found in shallow-water habitats. These solitary organisms, which may occur in aggregations, are often overlooked compared to its more well-known sister group, Scleractinia (stony corals), as well as the closely-related Actiniaria (sea anemones) with which they are usually confused. Data on corallimorpharians in Singapore are sparse, though there are anecdotal photographic reports of various morphotypes at intertidal localities collated by citizen scientists. Combining these citizen-science observations and field collections, this study used both morphological and DNA sequencing approaches to establish the diversity and distribution of Corallimorpharia in Singapore. Based on a collection of 31 specimens and observational data from 23 coastal sites, examination of field photographs and gross morphology yielded nine distinct morphotypes. To infer their identities based on molecular data, three DNA loci were sequenced—mitochondrial intergenic region (IGR) between the cytochrome c oxidase subunits 1 (COX1) and 3 (COX3), part of the ATP synthase F0 subunit 6 gene (ATP6), and nuclear internal transcribed spacers (ITS). Phylogenetic analysis, supported by detailed examination of the internal and external morphology, recovered six morphospecies placed within four genus-level clades, including two species from Corynactis and Discosoma that are possibly new to science. The molecular phylogeny is nearly concordant with the morphological taxonomy and distinction between the Rhodactis species is equivocal, likely because of recent divergence and the limited number of molecular markers used. This study represents the first comprehensive inventory and phylogenetic analysis of corallimorpharians in Singapore that would facilitate further research on this understudied order.
The Clinical Utility of Transient Elastography (TE) in Predicting Clinical Outcomes and Decompensation in Cirrhosis

Background: Transient Elastography (TE) is a non-invasive method providing reliable measurements help staging liver fibrosis which is crucial for both prognosis and management. In this study, we assess the utility of TE in predicting clinical outcomes. Methods: Retrospective cohort 272 patients underwent serial TE measurements in a single liver center. TE scores at baseline and longitudinal change over time were correlated with the primary outcome of clinical decompensation (ascites, encephalopathy, variceal bleed, increase in CPC > 2, HCC, liver transplant, and death). Results: 162 patients (62%) had an initial TE score of < 12.5 kPa (non-cirrhotic) and 100 patients (38%) had a TE score of >12.5 kPa consistent with cirrhosis. In the cirrhosis group, mean TE score 26.4 kPa compared to 7.0 kPa non-cirrhosis (p < 0.0001). In the cirrhotic group, 85% had esophageal varices on upper endoscopy that had baseline TE score of ≥ 21.0 kPa in compare to 13% with baseline TE scores 12.5- 20.0kPa (p < 0.05). During a median follow-up period of 4.5 years, 14% of patients achieved a primary outcome of clinical decompensation [30% cirrhosis versus 4% non-cirrhosis (p < 0.01)]. Logistic regression analysis demonstrates that TE score of ≥35 kPa was the strongest predictor for primary endpoint OR 6.5 (95% CI 8.2 – 4.8, p < 0.01). An Annual increase in TE score of ≥8 kPa to the cirrhotic range ≥12.5 kPa was associated with a significant OR 2.8 (95% CI 2.1-3.9, p < 0.01) for developing clinical decompensation. Conclusion: Baseline TE scores ≥35kPa & annual increment TE score ≥8 kPa were associated with a significant risk of clinical decomposition. Key words: Transient elastography; liver fibrosis; Fibroscan; clinical decompensation;
Application of Combined Mathematical modeling / Optimization Methods Coupled Pitch Controller Using Hybrid MLP Neural Network and Firefly Algorithm

A typical technique used in wind turbines is pitch angle control whereby through fluctuating the angle of wind turbine blade around their own axis, power created at high speeds of wind is held around maximum extreme and is avoided the severe mechanical stress on wind turbine. In current investigation, keeping in mind the end goal to control pitch angle, a control strategy in light of utilizing PI controller is recommended. Therefore, gains of the PI controller are regulated through combining the Firefly evolutionary algorithm and MLP neural network in such a way that the controller at its output sends a suitable controlling signal to the pitch actuator to set the pitch angle and so by varying the blades pitch angle suitably at high speeds of wind, the produced generator power remains around its nominal value. A wind turbine 5MW made by NREL (National Renewable Energy Laboratory) has been utilized based on FAST software code to simulate and analyze the results. The simulation results show that proposed method has a good
TEACHING UNIVERSITY-LEVEL MATHEMATICS USING MATHEMATICA

This paper considers the use of the computer algeb ra system Mathematica for teaching university-level mathemati cs subjects. Outlined are basic Mathematica concepts, connected with differen t mathematics areas: algebra, linear algebra, geometry, calculus and analysis, co mplex functions, numerical analysis and scientific computing, probability and statistics. The course “Information technologies in mathematics”, which in volves the use of Mathematica, is also presented discussed are the syllabus, aims, approaches and outcomes.
Neurobiological signatures of L 2 proficiency : Evidence from a bi-directional cross-linguistic study

Recent evidence has shown that convergence of print and speech processing across a network of primarily left-hemisphere regions of the brain is a predictor of future reading skills in children, and a marker of fluent reading ability in adults. The present study extends these findings into the domain of second-language (L2) literacy, through brain imaging data of English and Hebrew L2 learners. Participants received an fMRI brain scan, while performing a semantic judgement task on spoken and written words and pseudowords in both their L1 and L2, alongside a battery of L1 and L2 behavioural measures. Imaging results show, overall, show a similar network of activation for reading across the two languages, alongside significant convergence of print and speech processing across a network of lefthemisphere regions in both L1 and L2 and in both cohorts. Importantly, convergence is greater for L1 in occipito-temporal regions tied to automatic skilled reading processes including the visual word-form area, but greater for L2 in frontal regions of the reading network, tied to more effortful, active processing. The main groupwise brain effects tell a similar story, with greater L2 than L1 activation across frontal, temporal and parietal regions, but greater L1 than L2 activation in parieto-occipital regions tied to automatic mapping processes in skilled reading. These results provide evidence for the shifting of the reading networks towards more automatic processing as reading proficiency rises and the mappings and statistics of the new orthography are learned and incorporated into the reading system.
Prediction-Based Traffic Redundancy Elimination

P.RAJASEKHAR, M.TECH Associate Professor,Dept of CSE Siddartha Educational Academy Group Of Institutions C.Gollapalli,Tirupathi Abstract: Cloud computing is an emerging technology trend, which provides an economical pay-for-use service model. Cloud customers pay only for the actual use of computing resources, storage, and bandwidth, which changes continuously according to ones requirements. In particular, a data-transfer charge like bandwidth utilization is one of the important issues to minimize the cloud costs for an end-user. By reducing the bandwidth utilization, it is possible to reduce the cloud cost for end-users. In order to save the bandwidth, it is needed to eliminate the traffic redundancy over the network. In this paper a hybrid sender-receiver approach is proposed to provide solutions for above problems by eliminating traffic redundancy. In this system, prevention of multiple uploads or downloads of a single file can be validated, which saves the bandwidth utilization to reduce the cloud cost. The system also provides an authorized accessing of the content, in which the data owner needs to provide permission for any user, who requests to download the same.
Current Issues and Challenges of Clinical Education in Nursing and Midwifery in Africa: Protocol of a Scoping Review Study

Introduction: Quality clinical education is regarded an essential component of nursing and midwifery education. However, poorly trained nurses or midwives with skills and knowledge deficits provide ineffective nursing care with serious consequences on patients safety. The overall aim of this study is to provide a documented evidence of issues and challenges of clinical education in nursing and midwifery in Africa as well as identify areas that require primary research. Methods and Analysis: The research team develops a search strategy following a preliminary search for databases. The following computer-assisted, data-based engines are used for the search: Cumulative Index of Nursing and Allied Health Literature (CINAHL), Nursing and Health Sciences, Scopus, EBSCO host (i.e Science Direct, Medline), Google and Google Scholar. Data extraction will be done by five reviewers in parallel. A thematic analysis of the studies will be carried out to extract relevant outcomes. Discussion: We envisage finding a large number of studies on clinical education in nursing and midwifery in Africa, if summarized, will be relevant in guiding future studies. Dissemination: The findings will be disseminated electronically and in print in peer-reviewed journals as well as at conferences.
PUBLIC OPINION AND HILLARY

Hillary Rodham Clinton is a political figure as well as a public one. Campaigning for presidential office in 1992, she and her husband effectively promised joint leadership. Bill Clinton advertised openly, ‘‘Buy one, get one free,’’ and his wife was equally open in stating that ‘‘if you vote for him, you get me’’ (quoted in Troy 1997, p. 346). The widely drawn conclusion was that ‘‘voters had chosen to send both Mr. and Mrs. Clinton to the White House. Once there, Hillary Rodham Clinton reclaimed her birth name and became the point person in the most important proposed piece of domestic legislation (health care reform) of her husband’s first term. The break from the past was seismic. A decade and a half earlier First Lady Rosalynn Carter had stirred controversy by merely attending cabinet meetings’’ (Jamieson 1995, p. 45). The part played by the president’s wife in shaping his public image and the policies he pursues has increasingly become the object of both academic and journalistic attention and scrutiny (Burrell 1997; Guy 1995; Mughan and Burden 1995, 1998; O’Connor, Nye, and Assendelft 1996). Still, the first lady as a public figure is by no means a new phenomenon. Troy (1997) traces the emergence of the presidential couple to Franklin Roosevelt’s assumption of the office in 1933. Her public visibility notwithstanding, however, his wife, Eleanor, was not expected to play a political role in the White House. ‘‘Despite her doddering façade, she understood that First Ladies were to be seen at social galas and by their husbands’ sides, not heard in policy debates’’ (Troy 1997, p. 7). Times have clearly changed. If there has been a move in the direction of a joint presidency, what
A comparative study of sports competitive anxiety between male and female volleyball players of Jammu and Kashmir

Purpose: The objective of present study was to compare the Sports Competitive Anxiety between the male and female volleyball player in Jammu District, (Jammu and Kashmir). Methodology: Total (N=60) volleyball male and female players, male (30) and Female (30), belonging from the Jammu District, (Jammu and Kashmir) State were selected. The variable selected for the study was Sports Competitive Anxiety. Sports Competitive Anxiety Test (SCAT) by R. Martin, 1990 was used as criterion measure. ’t’ test was used for comparing Sports Competitive Anxiety between the male and female players level of significance set at 0.05. Results: The results show that no significant difference with the Male and Female volleyball players Sports Competitive Anxiety have of Jammu District. Conclusion: On the basis of the results it was concluded that some other factors may be responsible for the results like: Small Sample Size and insincere response, mental set of the subjects.
A Survey of State-of-the-Art GAN-based Approaches to Image Synthesis

In the past few years, Generative Adversarial Networks (GANs) have received immense attention by researchers in a variety of application domains. This new field of deep learning has been growing rapidly and has provided a way to learn deep representations without extensive use of annotated training data. Their achievements may be used in a variety of applications, including speech synthesis, image and video generation, semantic image editing, and style transfer. Image synthesis is an important component of expert systems and it attracted much attention since the introduction of GANs. However, GANs are known to be difficult to train especially when they try to generate high resolution images. This paper gives a thorough overview of the state-of-the-art GANs-based approaches in four applicable areas of image generation including Text-to-Image-Synthesis, Image-to-Image-Translation, Face Aging, and 3D Image Synthesis. Experimental results show state-of-the-art performance using GANs compared to traditional approaches in the fields of image processing and machine vision.
Scheduling model for service resource optimization in Internet of Things

With the repaid development of the Internet of Things(IoT)and Service-Oriented Architecture(SOA),the problem of service resource competition becomes increasingly severe.In order to solve the problem,this paper studies on it from the perspective of resource optimization.Firstly,a service scheduling model is established based on the theory of resource scheduling and service selection mechanism.Secondly,the delay performance of the scheduling model is analyzed by using the queue theory.The simulation experiments demonstrate that the proposed method is efficient.It can not only guarantee the fair attainability of requesters,but also relieve the delay and delay jitter performance.Meanwhile,to some extent,it can meet the individual requirements in the case of limited service resources.
Anisotropic flow in Xe-Xe collisions at root s ( NN ) = 5 . 44

Acharya, S. ; Acosta, F; Adamova, D. ; Adolfsson, J; Aggarwal, MM. ; Rinella, G.A. ; Agnello, Maria; Ahammed, Z. ; Ahn, S.U. ; Aiola, S. ; Akindinov, A. ; Al-Turany, M. ; Alam, SN; Albuquerque, DSD; Aleksandrov, D. ; Alessandro, B; Alfaro-Molina, R. ; Ali, Yusuf; Alici, A. ; Alkin, A. ; Alme, J.; Bearden, Ian; Bilandzic, Ante; Bourjau, Christian Alexander; bsm989, bsm989; Gaardhøje, Jens Jørgen; Chojnacki, Marek; Nielsen, Børge Svane; Christensen, Christian Holm; Thoresen, Freja; Gajdosova, Katarina; Ozelin De Lima Pimentel, Lais; Vislavicius, Vytautas; Zhou, You