Miracle-dz/UniFAR-FTUs huggingface dataset:
Procurement Flexibility of the Dimension of Information Technology Systems for Furniture Industry in Malaysia

This research was conducted to determine whether there is a relationship between procurement flexibility supply chain in the dimensions of information technology systems and issues within dimensions that affect the industries of furniture in Malaysia. This quantitative research involved 150 sets of questionnaire done on furniture factories active operating in Malaysia and review of previous studies. Data analysis involve reliability, validity, hypothesis testing and regression were carried out. The study found there was flexibility procurement in the dimension of information systems technology with the industry of furniture in Malaysia. Issue where suppliers or producers receive product information from buyers are outside the time set found to be most affecting furniture industry in Malaysia. Second issue is suppliers and buyers are very difficult to share information between them, while the third issue was the lack of concern and cooperation of suppliers or producers in terms of distribution of information to the buyer. The issue of buyer channelling the information to the supplier or manufacturer is the lowest influence to the industry of furniture in Malaysia.
Eddy diffusion coefficients in the coastal waters of north Andhra Pradesh and Orissa

/sec respectively.IntroductionIndustrial development significantly contributes towards economic growth of the nation,but at the same time brings in environmental problems. Injudicious setting up an industrycan seriously affect the environmental features such as air, water, land, flora, fauna, humansettlements and health of people. Thus the entrepreneur should take necessary steps whilesetting up the industry to minimize the possible adverse effects on the environment. TheEnvironmental Impact Assessment (EIA) is an useful aid for such decision making. TheRegional Centre of National Institute of Oceanography at Visakhapatnam is actively engagedin EIA and pollution studies for the coastal industries along Andhra Coast and VisakhapatnamHarbour have been reported earlier (Satyanarayana et.al,1994, Sarma et.al,1996). The Government of A ndhra Pradesh declared Visakhapatnam Coast as Special Economic Zone and the land acquisition is in full swing. A pharma city is also proposed at Parawada.There is a possibility of rapid industrial growth along north Andhra Coast in future. Hence,the dispersion studies are desirable to understand the dispersal capacity of the coastal watersfor environmental impact assessment. Such dispersion studies were more or less limited tothe open ocean so far. Bahulayan and Varadachari (1985) reported the eddy diffusioncoefficients k
An Authentication and Recovery method for Color Images

With fast advance of digital technology image processing is the fastest growing area of research and development. Sharing the data and authenticate the same is the big challenges now a days. To overcome the problem of pretending the documents as well as image as on his /her name, we invent the new method of an authentication and recovery of color tampered image using secure Shamir secret sharing method. The proposed method is an authentication and recovery technique for color images based on a Shamir secret sharing technique. An alpha channel signal which is used for authentication is generated for each block of a color document image, which, together with the binaries block content, is transformed into several shares using the Shamir secret sharing scheme. Care should be taken while selecting the parameter so that as many shares as possible are generated and embedded into an alpha channel plane. The alpha channel plane is then combined with the original image to form a PNG image. During process of image authentication, an image block is marked as tampered if the authentication signal computed from the current block content does not match that extracted from the shares embedded in the alpha channel plane. Data repairing is then applied to each tampered block by a reverse Shamir scheme after collecting two shares from unmarked blocks. By considering the lager database for images as well scan documents images with good experimental results prove the effectiveness of the proposed method for real applications.
The Effect of Income Taxation on Labor Supply in the United States

The effect of income taxation on the labor supply of prime age married men and women in the United States is examined using econometric methods similar to those used in the influential work of Jerry Hausman. Male labor supply is found to be relatively invariant to the net wage and virtual income in all specifications estimated. The estimated impact of taxation on the labor supply of married women depends critically on the method used to estimate the labor supply function. Estimated net wage and virtual income elasticities are considerably larger when data on nonparticipants are included than when the estimation is conducted conditional on hours being greater than zero.
A combined technique using SEM and TOPSIS for the commercialization capability of R & D project evaluation

Article history: Received December 10, 2014 Received in revised format: March 2, 2015 Accepted March 23, 2015 Available online March 25 2015 There is a high risk of RD marketing, technology, finance, non-financial impact, intellectual property, and human resource. The holistic criteria is presented in decreasing order on the ambiguous subjectivity of the fuzzy-expert system, to help with effectively funding R&D and to prevent a resource meltdown. This study applies SEM to the relative weighting of hierarchical criteria. The TOPSIS approach is employed to rank the alternative performance. An integrated SEMTOPSIS is proposed for the first time and applied to present R&D projects shown to be effective and feasible in evaluating R&D commercialization capacity. Growing Science Ltd. All rights reserved. 5 © 201
HUMAN-IN-THE-LOOP EVALUATION OF A MULTI-STRATEGY TRAFFIC MANAGEMENT DECISION SUPPORT CAPABILITY

Traffic flow management (TFM) in the U.S. is the process by which the Federal Aviation Administration (FAA), with the participation of airspace users, seeks to balance the capacity of airspace and airport resources with the demand for these resources. This is a difficult process, complicated by the presence of severe weather or unusually high demand. Actions to manage demand are themselves complex, and interact in difficult-to-predict ways. Decision support tools could assist traffic managers in choosing actions to solve resource allocation problems while keeping delay at manageable levels. Such tools must have the capability to evaluate the impact of the multiple, different flow management strategies commonly used in the U.S. National Airspace System (NAS) today. MITRE and the FAA are developing a TFM Integrated Impact Assessment (IIA) capability in which a traffic manager can specify any combination of reroutes (for avoidance of severe weather or congested airspace) and miles-in-trail (MIT) spacing restrictions. The capability predicts the sector load impact and the imposed delays due to the combined strategy, and allows the traffic manager to adjust reroute and MIT restriction parameters to improve the proposed solution. This paper provides an introduction to the features of this capability as implemented in an experimental prototype, and a detailed report on the operational evaluation activities – including a human-in-the-loop (HITL) experiment using NAS traffic managers – that have been done to develop the concept-of-use and functional requirements for this capability. This work is in Technology Readiness Level category B, as defined in the Call For Papers for this seminar.
cherchais Caractérisation et classification de textures sur images naturelles Characterization and classification of textures on natural images

33 Gilles BUREL est Ingénieur aux Laboratoires Électroniques de Rennes de Thomson CSF . II est diplômé de l'École Supérieure d'Électricité (88) . Ses travaux de recherche portent actuellement sur les algorithmes adaptatifs et les méthodes d'apprentissage appliquées au traitement d'images . Il est l'auteur de plusieurs brevets et articles relatifs à ce domaine. Jean-Yves CATROS est responsable du laboratoire « Reconnaissance et Interprétation en Imagerie » des Laboratoires Électroniques de Rennes de Thomson CSF. Il est diplômé de l'École Supérieure d'Électricité (76) et de l'université de Rennes (Doctorat d'Ingénieur en 78). Il est l'auteur de plusieurs brevets et articles relatifs au traitement d'images et assure actuellement un cours d'imagerie à l'École Supérieure d'Électricité . Hugues HENOCQ est titulaire du DEA d'électronique (90) de l'université de Brest et prépare actuellement une Thèse aux Laboratoires Électroniques de Rennes de Thomson CSF . Ses travaux de recherche portent sur la segmentation d'images et la vision par ordinateur appliquée à la robotique et au suivi de trajectoire . la texture . Nous montrons qu'un classifieur connexionniste est capable d'exploiter efficacement ces paramètres .
The effectiveness of eye-closure in repeated interviews

Purpose Closing the eyes during recall can help witnesses remember more about a witnessed event. This study examined the effectiveness of eye-closure in a repeated recall paradigm with immediate free recall followed 1 week later by both free and cued recall. We examined whether eye-closure was more or less effective during the second free-recall attempt compared with the first, whether eye-closure during the first recall attempt had an impact on subsequent free- and cued-recall performance, and whether eye-closure during the second free recall could facilitate the recall of new, previously unreported, information (reminiscence). Method Participants witnessed a videotaped event and participated in a first free-recall attempt (with eyes open or closed) a few minutes later. After a week, they provided another free recall, followed by a cued-recall interview (with eyes open or closed). Results Eye-closure during the first free-recall attempt had no significant effect on performance during any of the recall attempts. However, eye-closure during the second session increased the amount of correct visual information reported in that session by 36.7% in free recall and by 35.3% in cued recall, without harming testimonial accuracy. Crucially, eye-closure also facilitated the recall of new, previously unreported visual information. Conclusions The findings extend previous research in showing that the eye-closure instruction can still be effective when witnesses are interviewed repeatedly, and that it can facilitate the elicitation of new information. Thus, the eye-closure instruction constitutes a simple and time-efficient interview tool for police interviewers. © 2013 The British Psychological Society.
A comparison study on self-esteem of students with learning disabilities in different educational placements

Kara A. Cooper A COMPARISON STUDY ON SELF-ESTEEM OF STUDENTS WITH LEARNING DISABILITES IN DIFFERENT EDUCATIONAL PLACEMENTS 2002/2003 Dr. Joy Xin Master of Arts in Special Education The purpose of this study was to compare the self-esteem of students with learning disabilities who were being placed in different settings, such as inclusive classrooms, self-contained classrooms, and resource rooms. Students who were classified and eligible for special education under the category of specific learning disabilities participated in this study. Three groups of 3rd, 4, 5th, and 6* grade students with a total of 82 students were surveyed. The survey consisted of ten statements related to the students' perceptions of themselves. The surveys were administered individually to the three groups of students. All responses of the survey were collected and analyzed using the SPSS program. The mean and standard deviation of each statement from each group were computed. An ANOVA analysis was also used to compare differences among the three groups. The results of this study indicate that class placement does not affect the self-esteem of students with learning disabilities significantly. ACKNOWLEDGEMENTS I would like to thank my parents for their continuing support throughout my educational experiences. Without the constant guidance and support from them, I would not have accomplished all that I have. They have always encouraged me to do my best and to strive for success in order to reach my goals. As I fulfill this goal of obtaining my Master's Degree, I want them both to know that they made it possible. Thank you! I would also like to thank all the students who participated in my research, the parents who granted consent, and the teachers who welcomed me into their classrooms. Additionally, a final thank you should be expressed to the administrators and supervisors of the elementary schools who recognized the importance of this study and allowed their schools to participate in it. This would not have been possible without your help.
Online Anomaly Detection Method Using Method of Support Vector Machine Algorithm

Conveyed registering is a trademark improvement of the no matter how you look at it gathering of the virtualization. It ensures more affordable IT, and additionally speedier, less requesting, more versatile, and more effective IT. In cloud conditions, a champion among the most unpreventable and urgent challenges for relationship in indicating security consistence is showing that the physical and virtual establishment of the cloud can be trusted – particularly when those system sections are asserted and supervised by outside organization providers. In ask for to remain adaptable to the external risks, a cloud needs the ability to react to alluded to perils, and to new troubles that target cloud establishments. In this paper we exhibit and look at an online cloud anomaly revelation approach, including conferred portions which are especially used for area in the cloud adaptability designing. We show that our peculiarity area plot i.e. Support Vector Machine (SVM) definition can accomplish a high revelation precision of over 90% while perceiving distinctive sorts of malware and DoS attacks. Moreover, we evaluate the upsides of considering both the structure level data and framework level data depending upon the attack sort.
Mangrove response to sea level rise: palaeoecological insights from macrotidal systems in northern Australia

Accelerated sea-level rise threatens coastal wetlands; it is unclear whether sediment accretion beneath mangroves will be sufficient to keep pace. A conceptual framework, used to describe the response of reefs, can also be applied to mangroves, discriminating drowning or back-stepping with rapid rise from keep-up or catch-up under moderate rates. In macrotidal estuaries of northern Australia, different mangrove species grow across particular elevation ranges and accretion rates decrease with tidal elevation. Palaeoecological reconstructions, from drilling, dating and pollen analysis, record mangrove distribution over past millennia. Estuarine plains are underlain by a vertically continuous stratigraphy of muds, implying continuity of widespread ‘big swamp’ mangrove forests during decelerating stages of post-glacial sea-level rise c. 7000 years ago. In contrast, on higher-energy open coasts, mangroves back-stepped, but re-established as the shoreline prograded when the nearshore built to suitable elevation: a catch-up mode. These results demonstrate that mangrove response to sea-level rise has varied, determined by the availability of sediment and the oceanographic processes by which it is redistributed. How mangrove forests adjust in future will also vary as a function of local topography and sediment availability. Extensive plains flanking estuarine systems are particularly vulnerable to tidal creek extension and saline incursion under future higher sea levels.
Title Impact assessment of climate change on coastal hazards inJapan

Understanding future changes of ocean waves and storm surges is important for assessing and mitigating the impact of climate on coastal, marine and ocean environments and on engineering problems. This paper reviews the latest research results of climate change impacts on coastal hazards in Japan. First, future changes of wave climate and storm surges based on MRI-AGCM ensemble experiments are summarized. Second, the applications of coastal hazard projections to coastal structures and beach profiles are summarized as a series of climate impact assessment projects. There are clear increases in extreme values of wave heights and storm surges in the tropical cyclone dominant regions around the middle latitudes of the Western North Pacific including Japan. The influence of future climate change on caisson breakwaters is discussed considering sea level rise, extreme wave conditions and storm surges targeting the Pacific side of Japan.
Interactive comment on “Reliability of meteorological drought indices for predicting soil moisture droughts” by D. Halwatura et al

The paper tests the capability of simple meteorological drought indices to detect drought events, as defined by simulated soil moisture time-series. The topic is of interest for practical applications in drought monitoring, since simulations are often hard to be performed over some areas. My opinion is that the overall quality of the paper is negatively affected by some basic assumption made by the authors during the analysis, which are not clearly presented and sometime poorly described. Often the
The Effect of Combined Aerobic and Resistance Training on Hepatic Enzymes in Males With Nonalcoholic Fatty Liver

Background: Nonalcoholic fatty liver disease (NAFLD) is a common liver disease associated with inactivity and obesity. Physical activity and exercise could affect the risk of NAFLD progression by improving the hepatic lipid profiles. Objectives: The current study aimed to evaluate the efficacy of combination of aerobic and resistance training on hepatic enzymes in males with NAFLD. Patients and Methods: The study was a randomized controlled trial. Thirty-two untrained males with NAFLD (aged = 32.93±2.15years, weight = 86.01.51±8.40 kg) were recruited and randomly divided into equal experimental and control groups. The trained group took part in a combination aerobic and resistance training program for eight weeks (three times per week). The control group continued their routine life. The weight, body mass index (BMI) and serum levels of total cholesterol (TC), triglycerides (TG), low density lipoprotein (LDL), high density lipoprotein (HDL), very low density lipoprotein (VLDL), HDL/LDL, TC/HDL, aspartate aminotransferase (AST) and alanine transaminase (ALT) were measured before and after the protocol. Results: Statistical analysis demonstrated that the traininggrouphadsignificant changes in weight, BMI, TC, TG, LDL, VLDL, HDL/LDL, TC/ HDL, AST and ALT, whereas there was no significant change in HDL in NAFLD patients (P < 0.05). Conclusions: The results suggest that physical activity improves metabolic parameters,which interfere in the development of fatty liver and has a protective role against the development of NAFLD. Keywords: Fatty Liver, Exercise, Lipid Profiles, Hepatic Enzymes
Control of Threshold and Gain of Parametric Amplification in Magnetoactive III-V Piezoelectric Semiconductors

The effect of doping concentrations and a transverse external magnetostatic field on operational characteristics of parametric amplification of backward Stokes signal has been studied, using hydrodynamic model of semiconductors, in the far infrared regime. The model suggests three achievable resonance conditions: (i) lattice frequency and plasma frequency (ii) stokes frequency and electron-cyclotron frequency (iii) stokes frequency and hybrid (plasma and electron-cyclotron) frequency and these conditions have been utilised, on one hand, to substantially reduce the value of threshold intensity for onset of the parametric amplification and on the other hand, for switching of parametric large positive and negative gain coefficient (i.e. amplification and absorption). For example a strong transverse magnetostatic field 10.0 T with free carrier concentration 1.5 x 1019m-3 enhances the gain by a factor of 103 as in its absence. Results also suggest that a weakly piezoelectric III–V semiconductor duly illuminated by slightly off-resonant not-too-high-power pulsed lasers with pulse duration sufficiently larger than the acoustic phonon lifetime is one of promising hosts for parametric amplifier/frequency converter.
Supervised Regression Clustering: A Case Study for Fashion Products

Clustering techniques typically group similar instances underlying individual attributes by supposing that similar instances have similar attributes characteristic. On contrary, clustering similar instances given a specific behavior is framed through supervised learning. For instance, which fashion products have similar behavior in term of sales. Unfortunately, conventional clustering methods cannot tackle this case, since they handle attributes by a same manner. In fact, conventional clustering approaches do not consider any response, and moreover they assume attributes act by the same importance. However, clustering instances with respect to responses leads to a better data analytics. In this research, the authors introduce an approach for the goal supervised clustering and show its advantage in terms of data analytics as well as prediction. To verify the feasibility and the performance of this approach the authors conducted several experiments on a real dataset derived from an apparel industry. KeywoRdS Data Mining, Fashion Products, Forecast, Hadamard Product, k-means Clustering, Minkowski Distance, Supervised Clustering
Accuracy of geolocation estimates for flying seabirds

Geolocation (Global Location Sensing or GLS logging) using archival light-recording tags offers considerable potential for tracking animal movements, yet few studies of flying seabirds have exploited this technology. Our study evaluated its effectiveness for determining foraging ranges of black-browed albatrosses Thalassarche melanophrys fitted simultaneously with GLS loggers and satellite-transmitters (Platform Terminal Transmitters, PTTs). After some preliminary validation, the position of an albatross could be determined by geolocation with a mean error +/- SD of 186 +/- 114 km (SDs of 1.66degrees and 1.82degrees of latitude and longitude, respectively). Errors from identical static loggers were lower (mean +/- SD of 85 +/- 47 km, with overall SDs of 0.61degrees and 0.99degrees of latitude and longitude, respectively) and less variable, with the difference attributable to variation in sensor orientation, intermittent shading by plumage, and the difficulty of correcting for extensive, potentially non-linear movements of flying birds. Iterative smoothing reduced both the mean error and the inflation of kernel ranges derived from GLS data, but over-smoothing contracted the extremes of the range. This reduced the overlap with radial cores apparent in the control data, and should be avoided for multinuclear GLS fix distributions. The accuracy of GLS tags is more than adequate for tracking migration and breeding-season foraging ranges of pelagic species, and for identifying broad-scale habitat preferences, overlap and potential conflict with commercial fisheries.