Miracle-dz/UniFAR-FTUs huggingface dataset:
Resource Optimisation for 3rd Generation Partnership Project (3GPP) Long Term Evolution OFDMA Downlink Interface Air

This Paper describes the system model of the developed optimisation scheme which is implemented using a simulation package known as MATLAB. The 3rd Generation Partnership Project (3GPP) Long Term Evolution standard for the downlink air interface, Orthogonal Frequency Division Multiple Access (OFDMA) was adopted. Frequency Selective Rayleigh fading channel is considered as a model for real life scenario of the LTE Evaluation, operating in 5 MHz downlink bandwidth of OFDMA parameters as proposed in the standard. Simulation results show that, the inherent characteristics of a communication channel can be exploited and combined with the robustness of OFDMA to optimally allocate the radio resources. The optimal channel assignment of the dynamic allocation scheme exploited in this work meets the set target of high data rate and spectral efficiency.
Immunisation with histones or nucleosomes triggers lupus disease in susceptible mice

Background: Nucleo-protein instead of DNA could be a major antigenic system at work in the pathogenesis of lupus disease with T cells sensitised against proteins associated to DNA in chromatin, playing a pivotal role. Objective: To investigate in young lupus-prone mice that share a genetic background for lupus but do not develop early anti-chromatin autoimmunity and rapid glomerulonephritis, the effects of immunisations with DNA-free histones or nucleosomes on the development of autoimmunity to chromatin. Methods: To address this question, Male and female NZB mice, female MRL-Mp+/+ mice, female BXSB mice and female Balb/c mice were immunised with histones or nucleosomes at 9, 11 and 13 weeks of age. Autoantibodies were investigated in plasma and the development of albuminuria was looked for from 14 to 21 weeks of age. Immunofluorescent studies were done on kidney at 21 weeks of age. Results: We observed in the three lupus-prone strains of mice but not in control Balb/c mice: (1) an autoimmune responses against nucleosomes, histones and DNA after immunisation with nucleosomes; (2) an auto-immune response not only against histones, but also against DNA after immunisation with histones. The induction of anti-chromatin autoimmunity after immunisation with nucleosomes or histones was followed by the appearance of albuminuria, and by the deposition of immunoglobulins and complement in a granular pattern in glomeruli. Conclusion: Lupus-prone mice but not normal mice can develop autoimmunity against proteins associated to DNA in chromatin that triggers anti-DNA antibodies and subsequent development of immune complex nephritis.
Hal . 137-145 PERFORMANCE OF NEWLY CONFIGURED SUBMERGED MEMBRANE BIOREACTOR FOR AEROBIC INDUSTRIAL WASTEWATER TREATMENT

The application of membrane to replace secondary clarifier of conventional activated sludge, known as membrane bioreactor, has led to a small footprint size of treatment with excellent effluent quality. The use of MBR eliminates almost all disadvantages encountered in conventional wastewater treatment plant such as low biomass concentration and washout of fine suspended solids. However, fouling remains as a main drawback. To minimize membrane fouling, a new configuration of submerged membrane bioreactor for aerobic industrial wastewater treatment has been developed. For the new configuration, a bed of porous particle is applied to cover the submerged ends-free mounted ultrafiltration membrane. Membrane performance was assessed based on flux productivity and selectivity. By using tapioca wastewater containing high organic matter as feed solution, reasonably high and stable fluxes around 11 l/m.h were achieved with COD removal efficiency of more than 99%. The fouling analysis also shows that the newly configured ends-free membrane bioreactor exhibits lower irreversible resistance compared with the submerged one. In addition, the performance of pilot scale system, using a membrane module with 10 m effective area and reactor tank with 120 L volume, was also assessed. The flux achieved from the pilot scale system around 8 l/m.h with COD removal of more than 99%. Hence, this study has demonstrated the feasibility of the newly configured submerged ends-free MBR at larger scale.
A FACTOR ANALYSIS OF SOCIALLY RESPONSIBLE INVESTMENT IN MEXICO AS A COMPETITIVENESS PRACTICE: A TEST AND THEORETICAL REVIEW

El presente trabajo es uno de los primeros estudios que prueba la eficiencia media-varianza de la inversion socialmente responsable (SRI). En el mismo comparo el desempeno del indice IPC sustentable contra los indices generales ICPcomp e IPC, al emplear el indice de Sharpe, una prueba ANOVA, asi como un modelo CAPM estandar; una prueba CAPM de expansion, un modelo de desempeno multifactorial y una simulacion Monte Carlo. Los resultados demuestran que los tres indices tienen desempenos estadisticamente iguales, sugiriendo que este tipo de estilo de inversion es un buen sustituto de la inversion convencional en el largo plazo. Esto se atribuye, especificamente, a temas de concentracion similar en acciones de mediana y baja capitalizacion.
The role played by the informal economy in the appropriation of ICTs in urban environments in West Africa

The "informal" economy concerns activities directly linked with the most contemporary developments. Those activities revolving around local development of ICTs are demonstrations of a "paradoxical invention of modernity" [JF Bayart 1994] with regard to the classical universalist model of modernization spread by the West.
Acetylcholinesterase Inhibitory Activity of Green Tea Polyphenols

Inhibition of acetylcholinesterase activity is one of the most popular approaches for treatment of neurological disorders such as Alzheimer’s disease and others. In the present study, we evaluated inhibition of acetylcholinesterase activity by different concentrations of green tea ( Camellia sinensis L.) extract using acetylthiocholine as substrate. The green tea extract inhibited AChE activity dose dependently with an IC50 value of 42. 05µg/ml. The observed inhibitory activity could be ascribed to the polyphenolic content of green tea extract. Consumption of green tea might provide protection against neurological disorders.
Nonlinear plasma waves excitation by intense ion beams in background plasma

Plasma neutralization of an intense ion pulse is of interest for many applications, including plasma lenses, heavy ion fusion, cosmic ray propagation, etc. An analytical electron fluid model has been developed to describe the plasma response to a propagating ion beam. The model predicts very good charge neutralization during quasi-steady-state propagation, provided the beam pulse duration τb is much longer than the electron plasma period 2π/ωp, where ωp=(4πe2np/m)1/2 is the electron plasma frequency, and np is the background plasma density. In the opposite limit, the beam pulse excites large-amplitude plasma waves. If the beam density is larger than the background plasma density, the plasma waves break. Theoretical predictions are compared with the results of calculations utilizing a particle-in-cell (PIC) code. The cold electron fluid results agree well with the PIC simulations for ion beam propagation through a background plasma. The reduced fluid description derived in this paper can provide an importa.
HOW TRANSACTION COSTS INFLUENCE CATTLE MARKETING DECISIONS IN THE NORTHERN COMMUNAL AREAS OF NAMIBIA

In this article a non-linear dynamic model is applied to determine the influence of transaction costs on the marketing decisions of cattle owners in the Northern Communal Areas of Namibia. The article tests the hypothesis that a producer's choice between alternative marketing options is influenced by transaction costs. The study shows that a number of transaction cost variables (herd size, distance from auction points, information and risk) have a significant effect on the proportion sold to Meatco and thus indirectly on the choice of marketing channels.
Is Teaching Practice for Grading or Improvement? Examining Student Teachers' Perception and Experience at the University of Dar es Salaam, Tanzania.

Teaching practice is the central activity in testing teaching skills gathered in classroom learning and in preparing professional teachers in any country. The current study investigated student teachers perception and experience on the teaching practice supervisor’s treatment, student supervisor pre or post classroom discussion and teaching practice processes in general. The data to inform the study were collected from 112 student teachers: 67 were males and 45 females and the tools used were questionnaires both structured and non-structured. Of these 52 were second years while 60 were third years. Majority of respondents about 95 (84.8%) were pre service and 17 (15.2%) were in-service. The findings revealed that student teachers had positive perception on teaching practice exercise, teaching practice supervisor’s treatment, and supervisor-student feedback provision style. It was also discovered that demographic variables such as: sex, year of study and professional background had a slight influence on student teachers perception on teaching practice exercise, supervisors treatment, and supervisor-student feedback styles. In line to that 42 (37.5%) student-teachers acknowledged the concept that teaching practice is for improvement and the remaining percentages were given to factors associated to opposite dimension. It was therefore concluded that, there is a need for strengthening the teaching practice supervision exercise and specifically the collaboration between university teaching practice office and the teaching practice-host institutions should be improved so as to minimize the challenges emanating from miscommunication during the teaching practice exercise.
Accounting Choices in Corporate Financial Reporting: A Literature Review of Positive Accounting Theory

This chapter aims to put light on the positive accounting theory and related empirical studies and identify its broad contributions to the accounting research. Our objective is to provide a review of positive accounting literature in order to synthesize findings, identify areas of controversy in the literature, and evaluate critiques. Positive research in accounting started coming to prominence around the mid-1960s and had been a vector of paradigm shift within the financial accounting research in the 1970s and 1980s. The positive accounting theory is developed by Watts and Zimmerman and is based on work undertaken in economics and is heavily dependent on the efficient market hypothesis, the capital assets pricing model, and agency theory. The three key hypotheses are bonus plan hypothesis, debt hypothesis, and political cost hypothesis. Nevertheless, PAT has been subjected to severe and numerous criticisms from different perspectives, which are critiques on research methods, its theoretical foundations, its logic on economics' basis, and its reference to philosophy of science. PAT and its hypotheses will continue to be a rich field of empirical research and the basic questions that it raises are still relevant today.
The relationship between stress and mental health among students at the University of Twente

The present study aimed to empirically examine the perceived stress and mental health scores of Psychology students at the University of Twente. More specific, it was the goal to see how demographic variables and Stressors that fall under the categories Performance and Workload influence the stress and mental health that is perceived by students. The study used the Perceived Stress Scale and the Mental Health Continuum – Short Form for the examination of the scores. It was found that both gender and native language are related to stress. This means that German students perceive more stress than their Dutch fellow students, and that women perceive more stress than their male fellow students. Furthermore, the frequency of failing a course correlates with the perception of stress as well, which might lead to fear in failing, which in turn affects performance.
Tests on the Accuracy of Basel II

Basel II rules allow qualified banks to assess the risk in their portfolio of credit exposures with a methodology based on the informational content of credit ratings and two crucial assumptions: (1) the credit risk of individual exposures is driven by one systematic risk factor only and (2) the portfolio is fully diversified. We test the accuracy of the credit risk measures obtained with the new rules by comparing them with benchmark measures derived with a popular ratings-based credit risk model which accounts for multiple risk factors and portfolio concentration. We find that the Basel II assumptions may have a substantial impact on risk assessments and produce deviations from the benchmark that may be economically significant.
Guidelines for the World Bank Logo Color and Size of Logo 1

1. The words “THE WORLD BANK” can be placed either to the right of the logo (centered vertically along the height of the logo after 1 em space; see diagram B), or under the logo (the space between the logo and the words “THE WORLD BANK” should be the same as the cap height of the words, aligned flush left; see diagram C). When the logo is placed on a dark or black background, the logo should reverse to white (see diagram D).
Winds , tides , freshwater , and their effects on the circulation in a Scottish sea loch

The genus Pseudo-nitzschia is cosmopolitan with most species producing domoic acid, a neurotoxin that can impact different levels of the food web and human health (e.g. Amnesic Shellfish Poisoning symptoms) (Trainer et al. 2012). P. delicatissima in particular, has been the focus of many studies due to its occurrence in Harmful Algal Blooms around the globe. P. galaxiae is also receiving increased attention due to its widespread occurrence and indications on its ability to produce domoic acid.
Electrical Design Considerations and Packaging of Power Electronic Modules

A modern power electronic module can save significant energy usage in the power electronic systems by improving their switching efficiencies. One way to improve the efficiency of the power electronic module is to reduce its parasitic circuit elements. The purpose of this thesis is to investigate the mitigation of parasitic circuit elements in power electronic modules. General methods of mitigating parasitic inductances were analyzed by the Q3D Extractor and verified by the time-domain reflectometry (TDR) measurements. In most cases, the TDR measurement results closely matched those predicted by the Q3D Extractor. These methods were applied to design and analyze a 50KVA 650V silicon carbide (SiC) half-bridge power electronic power module consisting of three separate power substrates interconnected in parallel. The layout of this power module was constrained by the existing module housing. The parasitic inductances of the power module substrates were measured by TDR, and compared to those simulated values by the Q3D Extractor. Due to the differences in the lengths of current paths, the parasitic circuit elements for the three paralleled SiC power substrates, each consisting of 10 SiC power MOSFETs and 9 SiC diodes, were different. ACKNOWLEDGMENTS First of all, Thank God for giving me the opportunity to be a student at the University of Arkansas and the chance to be a research assistant while working for a master degree in electrical engineering which gives me the drive to accomplish one of my most important lifetime goals. There are many people I would like to thank for, my family, my friend, my teachers, my colleagues, and so on. The person I would like to thank the most is my advisor, Dr. Simon Ang. I cannot complete my graduate coursework and research without his encouragement. I really appreciate his support and encouragement. Also, I would like to thank him for all the things he has done for me from the first day of being his graduate student. He is not only a professor to me, but he also helped me like a friend. I would like to thank my classmates who helped me during the last two years. Jingchang Zhou and Hao Zhang trained me how to use the laboratory equipment. Atanu Dutta discussed and shared many of his research experiences. Shilpa Prabhudeva helped me on data acquisition. Xingeng Yang gave me the most encouragement as a best friend of mine. I am blessed that I can study together with such a nice group of classmates. Lastly, I must thank my family who unconditionally supports me throughout my studies. TABLE OF CONTENTS CHAPTER
Development of Low NOx Combustion System with EGR for 1700°C-class Gas Turbine

*1 Takasago Research & Development Center, Technology & Innovation Headquarters *2 Deputy Manager, Gas Turbine Engineering Department, Power Systems *3 Chief Staff Manager, Takasago Research & Development Center, Technology & Innovation Headquarters *4 Deputy Director, Gas Turbine Engineering Department, Power Systems *5 Gas Turbine Engineering Department, Power Systems Development of Low NOx Combustion System with EGR for 1700°C-class Gas Turbine
An Efficient Numerical Methods for thePrediction of Clusters using K-means Algorithmwith Bisection method for Comparing Uniformand Random Distribution Data Points

In this paper we extract the cluster by using numerical as well as statistical methods for improving efficiency using efficient algorithms of k-means in data mining. So, Data mining is defined as finding hidden information in a database it has been called exploratory data analysis, data driven discovery, and deductive learning. [1] clustering is usually accomplished by determining the similarity among the data on predefined attributes. The most similar data are grouped into clusters. This paper proposes a method for making the k-means algorithm and Bisection method for more effective and efficient, so as to getting better cluster.
Evaluation of Conversational Agents: Mariá and ET

This paper describes ET and Mariá, two conversational agents with different characteristics. Mariá presents a more realistic character; however she is not an interactive agent, since she only provides short movies with predefined questions and animations. ET is an interactive agent, which can recognize keywords (in Portuguese) and visual react emotionally and textually. We describe the development of those agents as well as results obtained with interaction with subjects. We also present details about MECA, the system we developed to Model Embodied Conversational Agents. Our contribution is the comparison, from the educational point of view, of learning aspects in subjects which interact with two communicative agents. Results show that interactivity has great impact in people learning process.
Implementation of a Standalone Solar Photovoltaic Hybrid System Using Fuzzy Logic Controller

-A control algorithm for a standalone solar photo-voltaic (PV)-diesel-battery hybrid system with Fuzzy Logic Controller is implemented in this paper. The proposed system deals with the intermittent nature of the energy generated by the PV array and it also provides power quality improvement. The PV array is integrated through a dc– dc boost converter and is controlled using a maximum power point tracking algorithm to obtain the maximum power under varying operating conditions. The battery energy storage system (BESS) is integrated into the diesel engine generator set for the coordinated load management and power flow within the system. The admittance-based control algorithm is used for load balancing, harmonics elimination, and reactive power compensation un-der three-phase four-wire linear and nonlinear loads. A four leg voltage-source converter with BESS also provides neutral current compensation. The performance of the proposed standalone hybrid system is studied under different loading conditions experimentally on a developed prototype of the system.
Real-Time Object Detection and Recognition Using Internet of Things Paradigm

Internet of Things is an emerging field wherein a lot of classical approaches can be inculcated. One such approach is found in image processing domain. It is real-time object detection and recognition. Object recognition is considered as a complicated process because the object can be of any shape, size or color. Object detection can be performed with effectiveness by using various prevalent techniques such as Scale Invariant Feature Transform (SIFT), a faster version known as Speeded-Up Robust Features (SURF) and the combination of two very efficient algorithms called as Oriented FAST and Rotated BRIEF (ORB) and so on. Although different techniques are dedicated to the different type of objects. In this paper, an effort has been made to combine the object recognition technique with Internet of Things (IoT) concept. The IoT device acting as an input is the camera that captures the image. The object present in the image is detected and recognized. After that, its information is extracted through the internet and displayed on the screen along with the recognized object. The recognition takes place using the pre-existing database. The database consists of the objects that have salient features which would make the task of recognition unambiguous. The bag of features method is considered in order to make recognition effective. The effective use of Internet of Things is carried out by establishing communication between a camera which acts as an input device and visual output devices. This communication takes place over Internet protocol. In the case of object detection, various parameters such as rotation invariance, scale invariance, intensity change, orientation invariance and partial object detection are also considered to make the system robust. Time consideration is carried out to make the system work in real time.
Enhancing security selection in the Australian Stockmarket using fundamental analysis and neural networks

This paper examines financial trading from the aspect of security selection. In practice, it is unrealistic for a financial trader to participate in the full market of tradeable securities, and a selection mechanism must be employed to reduce the number of possible securities competing for investment capital. Essentially, there are two main methodologies used, namely, Fundamental Analysis, and Technical Analysis. This paper examines the practice of Fundamental Analysis, and demonstrates how neural networks can be practically employed to enhance the fundamentalist selection process.
The Effects of Income, Wealth, and Capital Gains Taxation on Risk-Taking

I. Introduction, 263. — II. The basic model and some behavioral hypotheses, 264. — III. Wealth tax, 269. — IV. Income taxation, 270. — V. Special treatment of capital gains, 274. — VI. No loss offset, 275. — VII. Welfare implications, 279.
Cracking the Agrippa Code: Cryptography for the Digital Humanities

In The Laws of Cool, Liu (2004) argues that the art book Agrippa (A Book of the Dead) (Gibson, 1992) is an exhibit of destructive creativity. According to Liu, the book’s great auto-da-fe occurs when the software program, which is included with the book, displays an electronic poem, and then self-encrypts, a mechanism that destroys or “permanently disappears” (p. 340) the poem. This article argues that Liu’s understanding of encryption is incorrect. Encryption is not destruction because enciphered text is necessarily subject to cryptanalysis (“cracking”). Relatedly, this article demonstrates that Kirschenbaum’s thesis of “no round trip” is mistaken (Kirschenbaum, Reside, & Liu, 2008). Agrippa was fully cracked and reverse-engineered in the course of an online, global cryptanalysis challenge. This article describes the forensic details of Agrippa and its cryptographic routines.