Miracle-dz/UniFAR-FTUs huggingface dataset:
A LITERATURE REVIEW OF OPINION MINING FROM ONLINE CUSTOMER’S FEEDBACK AND IT’S APPLICATION DOMAINS

Customer discussions in Web 2.0 are a valuable source of information for companies. An opinion mining approach is presented which allows an automated extraction, aggregation, and analysis of customer opinions on products from text using Data Mining and Natural Language Processing techniques. The goal of opinion mining is to make computer able to recognize and express emotions. Companies are interested to know about the people demand. They need to collect customer opinion about the products to know about the reputation of the company in the market. These surveys are then need to be summarized or categorized to produce the report about the good or bad aspects of particular products. This paper critically evaluates existing work, presents an opinion mining framework and exposes new areas of research in opinion mining.
RESEARCH IN ONLINE SPACE: THE USE OF SOCIAL MEDIA FOR RESEARCH SETTING

Web 2.0 technology has supported the arrival of various social and collaborative applications. Those applications, which is known as social media, provide an opportunity for users to express their opinions and share their knowledge and thoughts with others in online space. This provides opportunities for reseachers to extend their research setting and generate data within a broader environement. As a result, researchers have increasingly turned to social media sites to practice their research to expand the scope and improve the analytic power of their studies. Yet there is still relatively little direction on and much confusion about how to gather data using qualitative and quantitative approaches on social media sites. Through an exstensive literature review from Information Technology and Information System journals, this studi proposes new data gathering strategies within a broader environment of social media sites. This study contributes to understanding of using social media for new research settings. The limitation and future research of this study is addressed.
Space-time wavelet finite element method for parabolic equations

For a class of linear parabolic equations we propose a nonadaptive sparse space-time Galerkin least squares discretization. We formulate criteria on the trial and test spaces for the well-posedness of the corresponding Galerkin least squares solution. In order to obtain discrete stability uniformly in the discretization parameters, we allow test spaces which are suitably larger than the trial space. The problem is then reduced to a finite, overdetermined linear system of equations by a choice of bases. We present several strategies that render the resulting normal equations wellconditioned uniformly in the discretization parameters. The numerical solution is then shown to converge quasi-optimally to the exact solution in the natural space for the original equation. Numerical examples for the heat equation confirm the theory.
Effects of Differentiation on Small Group Functioning: A Study of Training and Participation

The different facet and dimension of participation and training in patterning the performance effectiveness among SHGs poses serious managerial challenge because both these factors with differential sequence have reciprocal iterative linkage with the performance result. To find the pattern of competency and its interrelation with structured differences in training and participation we explore the impact of widespread training provided by the SHGs program and the level of participation by the SHG which indirectly influence on its savings behavior and earnings. To assess the main and overall interaction effects of training and participation, along with a priori power analysis, factorial design is used and the findings supported the threshold probability of correctly accepting the proposition that there are significant differences in average savings to total income retention across levels of training status and participation. The concluding outcomes transparently revealed that the higher training level both basic skill and record keeping and managerial competency increased significantly to contribute to the rate of savings to total income of the SHGs when compared to the initial training, based only on basic skill and record keeping. Since the significant interaction effect showed differences in performance increase in savings and total income, a simple effect analysis shows the differences is important for both the forward-looking differential training and participation.
Farm productivity in an Australian region affected by a changing climate

Since the mid-1970s the south-west of Australia has displayed a warming and drying trend in its climate. Using parametric and non-parametric methods this paper provides a decadal assessment of the profitability, productivity and productivity components of over 250 farms in the region. The farm panel data are detailed descriptions of the physical and financial characteristics of each farm business from 2002/3 to 2011/12, a period of challenging weather-years. This study yields insights about farm characteristics and management strategies that have weakened or strengthened farm viability over the decade. In spite of the climate challenges experienced in the region during that decade, a majority of farm businesses improved their productivity and profitability.
Improved Slope One Algorithm Based on Time Weight

Collaborative filtering is regarded as the most prevailing techniques for recommendation system. Slope one is a family of algorithms used for collaborative filtering. It is the simplest form of non-trivial item-based collaborative filtering based on ratings. But all the family of use CF algorithms ignores one important problem: ratings produced at different times are weighted equally. It means that they cant catch users different attitudes at different time. So in this paper, we present a new algorithm, which could assign different weights for items at different time. Finally, we experimentally evaluate our approach and compare it to the original Slope One. The experiment shows that the new slope one algorithms can improve the precision
Production, characterization, and optimization of rhamnolipids produced by Pseudomonas aeruginosa by solid-state fermentation

Background: Pseudomonas aeruginosa that produces biosurfactant (rhamnolipids) is used for emulsifying the oil-infested areas. The objective of the study was to isolate and identify a strain of environmentally important that can act on oil-contaminated soil. Materials and Methods: Isolation and identification of P. aeruginosa from oil‑spilled soil isolated from Chennai. Rhamnolipid production was enhanced by fish oil. pH, temperature and incubation time were optimize using RSM, solid-state fermentation (sugarcane bagasse) was adopted for production of rhamnolipid. Results: The isolated strain of P. aeruginosa was subjected to optimization of cultural condition such as temperature, pH, and incubation time representing 35°C, 6, and 5 days, respectively. The solid-state fermentation was done to find the enzyme production using molasses and fish oil. The surfactant that was extracted was analyzed for surface tension ability to confirm the used as biodetergents. Discussion and Conclusion: From the above analysis, P. aeruginosa could be ideal candidate for the production of biosurfactant that can be used in the environmental oil slippage.
KIER DISCUSSION PAPER SERIES

This paper examines the market efficiency of oil spot and futures prices by using both mean-variance (MV) and stochastic dominance (SD) approaches. Based on the West Texas Intermediate crude oil data for the sample period of 1989-2008, we find no evidence of any MV and SD relationship between oil spot and futures indices. This infers that there is no arbitrage opportunity between these two markets, spot and futures do not dominate one another, investors are indifferent to investing in spot or futures, and the spot and futures oil markets are efficient and rational. Our empirical findings are robust to each sub-period before and after the crises for different crises, and also to portfolio diversification.
Use of terrestrial laser scanning for engineering geological applications on volcanic rock slopes – an example from Madeira island (Portugal)

Abstract. This study focuses on the adoption of a modern, widely-used Terrestrial Laser Scanner (TLS) application to investigate volcanic rock slopes in Ribeira de Joao Gomes valley (Funchal, Madeira island). The TLS data acquisition in May and December 2008 provided information for a characterization of the volcanic environment, detailed structural analysis and detection of potentially unstable rock masses on a slope. Using this information, it was possible to determine specific parameters for numerical rockfall simulations such as average block size, shape or potential sources. By including additional data, such as surface roughness, the results from numerical rockfall simulations allowed us to classify different hazardous areas based on run-out distances, frequency of impacts and related kinetic energy. Afterwards, a monitoring of hazardous areas can be performed in order to establish a rockfall inventory.
Precursor-Dependent Blue-Green Photoluminescence Emission of ZnO Nanoparticles

We report on properties of ZnO nanoparticles synthesized via non-aqueous sol–gel routes. The role of the hydrates in the zinc precursor (Zn(acac)2, xH2O) on the structure and surface termination during the synthesis is studied for the first time. The structural and chemical properties of the ZnO nanoparticles were studied by standard structural and optical characterization methods. A broad luminescence was observed from the nanoparticles stretching throughout the visible region of the spectrum and comprising characteristic blue and green emission bands commonly associated with intrinsic defects in ZnO. A tentative model is proposed to explain differences in the luminescence of nanoparticles synthesized using different routes by taking into account the role of oxygen vacancies and other native defects: most likely being zinc vacancies and interstitials, located near the surface of the nanoparticles.
AQUAZONE: A Spatial Decision Support System for Aquatic Zone Management

During the last years, the Sebkha Lake of Oran (Algeria) has been the subject of many studies for its protection and recovery. Many environmental and wetlands experts are a hope on the integration of this rich and fragile space, ecologically, as a pilot project in "management of water tides". Support the large of Sebkha (Lake) of Oran is a major concern for governments looking to make this a protected natural area and viable place. It was a question of putting in place a management policy to respond to the requirements of economic, agricultural and urban development and the preservation of this natural site through management of its water and the preservation of its quality. The objective of this study is to design and develop a Spatial Decision Support System, namely AQUAZONE, able to assist decision makers in various natural resource management projects. The proposed system integrates remote sensing image processing methods, from display operations, to analysis results, in order to extract useful knowledge to best natural resource management, and in particular define the extension of Sebkha Lake of Oran (Algeria). Two methods were applied to classify LANDSAT 5 TM images of Oran (Algeria): Fuzzy C-Means (FCM) applied on multi spectral images, and the other that comes with the manual which is the Ordered Queue-based Watershed (OQW). The FCM will serve as initialization phase, to automatically discover the different classes (urban, forest, water, etc.) from a LANDSAT 5 TM images, and also minimize ambiguity in grayscale and establish Land cover map of this region.
WiFi Data Acquisition System and online monitoring applied to thermoelectric microgeneration modules

The present paper describes the development of an online monitoring and WiFi data acquisition system using free software applied to microgeneration based on thermoelectric modules. Monitoring and data acquisition systems are applicable in various stages of the microgeneration process, e.g., in the energy resource evaluation, generation failures prognosis, practical verification of project data and efficiency of generation. The online monitoring and data acquisition system was developed using a WiFi modem coupled to a microcontrolled board based on free software. This monitoring system was applied to thermoelectric modules and was also developed a wireless communication with the online server which sends microgeneration values to the data bank. The free software for online monitoring and WiFi data acquisition allows the analysis of stored data and charts through mobile devices as notebooks, tablets and smartphones. Moreover, the system can also be expanded to record values from analogical or digital sensors used in plants based on other renewable energy sources.
Determination of storage duration and temperature effects on fruit quality parameters of blood orange (Citrus sinensis cv. Tarocco)

Blood orange (Citrus sinensis) cv. Tarocco, grown in the north of Iran, was harvested at the mature stage and stored at 8, 15 or 22oC for various duration. During the storage period, weight loss, total soluble solids (TSS), total titratable acidity (TA), pH, ascorbic acid, total phenols, flavonoids, antioxidant capacity, anthocyanin and L-phenylalanin ammonia-lyase enzyme (PAL) activity were determined. The highest increase in pH, anthocyanins in the pulp and rind, flavonoids and PAL activity after 85 days of storage at 8oC were 3.6, 12.4 mg/L, 15. 8 mg/L, 142.6 mg/L and 2.5 µMOL/g FW.min-1, respectively, and TSS, TA, fruit weight and ascorbic acid content decreased for fruit stored at different temperatures. Antioxidant capacity and total phenols increased during the first 45 days of storage at 8oC by 38% and 631.6 mg/L respectively. Also the results indicated a significant correlation between antioxidant activity and total phenolic compounds (P ≤ 0.01).
The exceptionally large genome of the harmful red tide dinoflagellate Cochlodinium polykrikoides Margalef (Dinophyceae): determination by flow cytometry

Copyright © 2016 The Korean Society of Phycology 373 http://e-algae.org pISSN: 1226-2617 eISSN: 2093-0860 The exceptionally large genome of the harmful red tide dinoflagellate Cochlodinium polykrikoides Margalef (Dinophyceae): determination by flow cytometry Hyun-Hee Hong, Hyun-Gwan Lee, Jihoon Jo, Hye Mi Kim, Su-Man Kim, Jae Yeon Park, Chang Bum Jeon, Hyung-Sik Kang, Myung Gil Park, Chungoo Park and Kwang Young Kim* School of Biological Sciences and Technology, Chonnam National University, Gwangju 61186, Korea Department of Oceanography, Chonnam National University, Gwangju 61186, Korea CO2 Recycling Research Center, Advanced Institutes of Convergence Technology, Seoul National University, Suwon 16229, Korea
Reconstructions in 2D acousto-electric tomography

We propose a stable algorithm for the reconstruction of the internal conductivity of a biological object using acousto-electric measurements. Namely, the conventional impedance tomography scheme is supplemented by scanning the object with acoustic waves, which perturb the conductivity and cause the change in the electric potential measured on the boundary of the object. These perturbations of the potential are then used as the data for the reconstruction of the conductivity. The present method does not rely on ”perfectly focused” acoustical beams; instead realistic propagating spherical fronts are utilized. Numerical experiments with carefully simulated data show that our algorithm produces high quality images, and remains accurate in the presence of high level noise in the data.
The Growth of Sea cucumber Stichopus herrmanni After Transverse Induced Fission in Two and Three Fission Plane

Transverse induced fission proven could be done in Teripang Tril, Stichopus herrmanni. This present works aimed to analyze wound recovery, regeneration period and growth of Teripang Trill after asexual reproduction by fission using two and three fission plane. Observations were made every day until the sea cucumber body separated into two or more (depending on treatment) and reared for 16 weeks. The results showed that there are differences in wound recovery, regeneration period and growth of S. herrmanni depend on their different fission plane. The wound recovery and regeneration period (days) of anterior, middle and posterior individu S. herrmanni resulted from two and three fission plane were varied but the two fission plane the anterior individu recover for longer period than posterior part and the wound recover process in both end for thee fission plane was same. Average growth of anterior and posterior fragment were longer for two fission plane than three fission plane. The middle fragment (M1 and M2) both fission plane was able to grow but very low. It showed that three fission plane gave very slow growth in every fragment of the body. Keywords: growth, post-fission, fission plane, Stichopus herrmanni
Miscounseling in Monopolistic Competition: A Case for Regulation

We analyze the impact of (possibly) fraudulent independent experts in a market for credence goods characterized by monopolistic competition. This setting applies to various industries such as repair markets, health care markets or financial services markets where consumers are usually uninformed about which product best fits their individual needs. Some consumers prefer to use an expert. We analyze market outcomes with honest and fraudulent experts, whereby honesty may require side payments from firms to experts. Rigorous regulation of the relationship between firms and experts may be essential in order to make these markets operate more efficiently.
Impact of application of a test day model to dairy production traits on genetic evaluations of cows

A multiple lactation test day model was applied to predict genetic merit for dairy production traits in German Holstein cattle. The model for test day genetic evaluation included a fixed herd-test-date effect, fixed regressions on functions of days in milk, random permanent environmental effects within lactation, random animal genetic effects, and residual effects. An adjustment procedure to account for within herd heterogeneous variances is described, considering a) number of contemporary records and b) production level on the particular test day, c) parity, and d) stage of lactation. Method of standardization for heterogeneous HTD variances has little impact on overall cow and bull rankings, but significant effects on EBVs for individual animals. Method of standardization has an impact on SD of EBVs and also on genetic trend estimates. __________________________________________________________________________________
New Numerical Implementation of Self-Consistent Field Theory for Semiflexible Polymers

A new real-space numerical implementation of the self-consistent field theory for semiflexible polymers is developed. Specifically, a finite volume algorithm on a unit sphere with an icosahedron triangular mesh is employed to describe the orientation degree of freedom of the wormlike chains. The validity of the new method is analyzed by comparing with results from the spectral method. As a concrete example, the new numerical method is applied to the self-assembly of rod−coil diblock copolymers within the framework of Onsager excluded-volume interaction. A variety of liquid crystalline phases such as disordered isotropic, nematic, and smectic phases have been obtained. In particular, the new method provides a particularly convenient method for studying the smectic-C phase. A phase diagram is constructed for the rod−coil diblock copolymers, which is in agreement with previous theoretical and experimental results.
Measurement Based Vehicle-to-Vehicle Multi-link Channel Modeling and Relaying Performance

There has been intense research in vehicular communication in order to provide reliable low-latency vehicular communication links for developing intelligent transportation system (ITS). As one of the important properties, vehicle-to-vehicle (V2V) communication is learned to be inherently non-stationary due to the high mobility of both transmitter (TX) and receiver (RX). Therefore, the V2V system behavior is essentially different from previous mobile communication studies and needs to be understood. For V2V wireless communication systems, it is crucial to model the vehicular channel accurately to evaluate the quality of the system level applications. Among all channel properties in a V2V system, the shadow fading (i.e. large scale fading, LSF) from other vehicles has a significant adverse impact on the system performance. One promising approach to overcome this issue is by implementing multi-hop technology on the vehicular ad hoc network (VANETs). One goal of this thesis report is to implement relaying schemes on simulated Rician channel based on measurements to evaluate the performance of multi-hop technology in V2V systems. Two relaying schemes, Amplify-and-Forward (AF) and Decode-and-Forward (DF), are employed in the bit level simulation. The results of packet error rate (PER) are evaluated together with non-relaying situation for convoy and overtaking scenarios, respectively. Furthermore, a statistic model is created to model the measured highway environment. Pathloss parameters and shadowing loss together with correlation coefficients are derived. Line-of-sight (LOS) and obstructed line-of-sight (OLOS) conditions are manually separated through on-board video. Each scenario has its own parameter set. Maximum likelihood estimation (MLE) is utilized on the pathloss model to compensate the biasing from the measurement hardware. Also the shadowing is modeled as correlated Gaussian and we derived the decorrelation distance from the auto-correlation function (ACF). The model is also validated against the measurements. For an ad hoc network, the diversity schemes would be strongly affected by the multilink correlation. Only a few joint correlation studies for mobile ad hoc network have been made, but rarely for VANETs. The last goal of this report is to study the joint correlation on VANETs based on measurements for four-dimensional position joint correlation model where shadowing is affected by the vehicle distance. To be precise, we focus on the joint correlation of large scale fading affected by the distances between the two receiver vehicles under the same car obstruction. Finally, a stochastic model based on the sum of sinusoids approach is implemented.