Miracle-dz/UniFAR-FTUs huggingface dataset:
Modeling of Marine Magnetotelluric Response across 85 ° E Ridge : A Numerical Simulation 83 Modeling of Marine Magnetotelluric Response across 850 E Ridge : A Numerical Simulation

85E Ridge in the Bay of Bengal region is one of the most interesting and enigmatic geotectonic features in the Indian off-shore region with its surprisingly low free-air gravity anomalies. As the marine field studies are highly expensive, it is proposed here, to simulate Marine Magneto Telluric (MMT) response across this ridge to estimate the resolvability of layer parameters like thickness and resistivity followed by period band to penetrate the signal to the desired depth using forward modeling. Similar to land MT measurements, the MT data acquired in the marine environment also gets distorted due to coast effect. In order to derive this response, a synthetic initial model has been considered which extends to 800 km on either side of the coast line and down to 600 km depth with a water column of 4 km. A finite element algorithm has been utilized to accommodate inclined continental shelf in the numerical model. In the period range of 40-4000 sec, Ridge response is well reflected in the apparent resistivity, phase, magnetic field components (Hx, Hy), and Tipper in TE and TM modes, whereas electric field components (Ex, Ey) are less pronounced. The present study reveals that the distortion in MMT responses due to coast effect is noticeable up to 200 km from the sea-land boundary for periods between 10 and 4000 sec. As the 85E Ridge is located at a distance of 500 km from the coast, the MMT measurements made here are free from coast effect. Data needs to be acquired for a period of at least 8 days to get more than 10 stacks of 4096 sec and therefore for better results.
The Impact of Peer Pressure: Extending Axelrod's Model on Cultural Polarisation

Culture represents the broad range of things over which people influence each other, and frequently contributes to the behaviour, interaction and outlook of groups. Although it has been studied in the context of humans, it is also relevant to future intelligent cognitive systems, that could have the capability to update their disposition and strategy based on the influence of others. In this work we transfer concepts from social sciences to the computing sciences and examine the effect of peer influence on culture. We consider the notion of "peer pressure", being the combined effect from all an individual's neighbours exerting influence at the same time, and also through influence flowing from indirect sources. This approach is derived using Social Impact Theory. We benchmark this against the cultural polarisation model from Axelrod, which involves influence being restricted to dyadic interactions between agents. We find that peer pressure provides complex contagion with a significant impact on cultural evolution. Greater cultural diversity is maintained, with indirect paths mitigating this by effectively forming disruptive weak links. This reaffirms that maintaining diversity in social ties, as well as a wide breadth, supports the mitigation of cultural isolation and polarisation. The model provides a platform to explore culture in a wide range of further scenarios, including electronic, coalition and organisational contexts.
Analysis of Discourse Markers in Essays Writing in ESL Classroom

Discourse markers improve the quality of writing and increase the comprehension of text. This paper attempts to throw more light in measuring the students’ knowledge about Discourse Markers. This paper aims to exponentiate the Discourse Markers in ESL students’ essay writing. The Qualitative data was collected from intermediate students of grade 9 from a school in Dubai. Six of their essays were chosen randomly and only nine extracts were analyzed. These extracts focus on how students use Discourse markers with cohesion and coherence. The findings were categorized into three parts: Misused Discourse Markers’, Overused Discourse Markers’, and Advanced used Discourse Markers’. Based on the results, opportunities for further studies were underlined and recommendations were proposed.
The Optics and Optimal Control Theory Interpretation of the Parametric Resonance

The aim of the article is the elaboration of parametric resonance theory at piecewise constant frequency modulation. The investigation is based on the analogy with optics and optimal control theory (OCT) application. The exact expressions of oscillation frequency, gain/damping coefficients, dependencies of these coefficients on the modulation depth, duty ratio and initial phase are derived. First of all, the results obtained on the basis of the energy behavior analysis (at the conjunction conditions execution) in frictionless systems are presented. The well-known parametric resonance triggering condition is revised and adjusted. The heuristic feedback introduction (based on the energy behavior analysis) in the oscillation equation permits one to prove that the frequency modulation satisfying the parametric resonance condition is not necessary and sufficient condition of the oscillations unlimited increase. Their damping/shaking up formally corresponds by the frequency and duty ratio to the condition of the equality of optical paths to the quarter-wavelength characteristic of the interference filter or mirror. The unity of space-time coordinates shows itself in this specific form of the optical-mechanical analogy due to the general Hill’s equation description. It is marked that this equation theory underlies most of metamaterials advantages because all transport phenomena imply different wave – electromagnetic, acoustic, spin etc. propagation one way or another. The question about control uniqueness arises that is modulating frequency, duty ratio and signature sign uniqueness. Another question of characteristic index extremum at different controls is tightly bound with the former. The answers to these questions are obtained on the basis of OCT. The similarity of the optimal control problem solution and the one obtained at the heuristic feedback introduction through fundamental solutions product permits one to introduced the new form named general or mixed Hamiltonian along with the ordinary and OCT Hamiltonians. Besides this mixed Hamiltonian equality to zero together with the Wronskian constancy (almost everywhere) is the useful analogous in form to the Liouville’s theorem equation. The nonlinearity accounting using the OCT formalism is described too.
USING PROBABILISTIC FORECAST GUIDANCE AND AN UPDATE TECHNIQUE TO GENERATE TERMINAL AERODROME FORECASTS

Since the early 1970’s, the Meteorological Development Laboratory (MDL) has provided objective guidance for weather elements of importance to aviation primarily to assist forecasters in creating Terminal Aerodrome Forecasts (TAFs). Since that time, MDL’s aviation guidance has steadily evolved and expanded as computing power increased. MDL’s latest efforts have created shortterm statistical aviation guidance at hourly resolution.
Prognostic significance of higher CXCR 2 expression in digestive system cancers : a systematic review and meta-analysis

Although CXC chemokine receptor-2 (CXCR2) expression has been associated with several common cancers, the more important question is whether higher CXCR2 expression influences overall survival (OS) and recurrence-free survival (RFS) rates of digestive system cancers (DSCs). This has not been explicated thoroughly. Therefore, the current meta-analysis was conducted to investigate whether higher CXCR2 expression is associated with DSCs prognosis, including esophageal cancer (EC), gastric cancer (GC) and other cancers. Twelve relevant studies, involving a total of 2,250 cancer cases (333 EC, 970 GC, 711 HC, and 236 other cancer cases), were finally included in this study. Hazard ratios (HRs) with 95% confidence intervals (95% CIs) for OS in higher and lower CXCR2 categories from individual studies were extracted. They were pooled using a random-effects model. Overall HRs of EC, GC, and other DSCs for OS of higher CXCR2 expression were 2.06 (95% CI = 1.31-2.80), 1.95 (95% CI = 1.47-2.43), and 1.58 (95% CI = 1.30-1.86), respectively. Combined cases of all DSCs with higher CXCR2 expression were at increased risk for OS (HR = 1.72, 95% CI = 1.48-1.95) and RFS (HR = 1.31, 95% CI = 1.01-1.61). The current meta-analysis shows decreased OS and RFS rates among all DSC survivors with higher CXCR2 expression. Higher CXCR2 expression may be an important prognostic factor, indicating decreased survival rates in EC and GC.
Feasibility of Constructing a Unified Positive and Negative Mass Potential

There is growing enthusiasm for the position that no single particle solves the puzzle of dark matter in the cosmos, a shift in perspective to include alternate ideas may offer part of the answer. Here, we advocate the (less than conventional, but not totally new) idea of negative mass as one possible contributor to the solution. We address the subject by empirically constructing a unified potential valid from the macro-gravity scales through the quantum scales that is non-symmetric between positive mass and negative mass particles. We discuss the similarities and differences between well-known potentials for traditional allpositive-mass particles, and, address the possibility that the Newtonian potential could be a first-order approximation to a sine function. Our fully unified potential (VU) agrees with current data-consistent potentials from the largest macro scales down to quantum scales. Unlike Newton’s potential which is only a function of mass, VU is a function of mass, and the square-root of mass which impacts the negative mass behavior. The positive mass characterization is discussed here. In the macro-scale’s far field, VU has the usual 1/r decay. However, it also shows an oscillating transition between quantum-scales and macro-scales where the Casimir effect is seen. The super-massive scales also show this oscillating quantum-like behavior in the near-field region.
MMSE Speech Enhancement Based on Prior SNR Estimation

In order to get a better performance in processing the speech which change rapidly,an improved single-channel speech enhancement algorithm based on a minimum mean-square error(MMSE) estimation method is proposed in this paper.The results indicate that nearly 2 dB gain is obtained by the proposed method more than conventional MMSE speech enhancement algorithm.
On M/G/1 queues with exhaustive service and generalized vacations

We consider M/G/1 queues with exhaustive service and generalized vacations, where at the end of every busy period the server either follows a mixed vacation policy from a given vacation policy set or stays idle. A simple recursive formula for the moments of the stationary waiting time is provided. This formula results in the decomposition property for our model immediately. It also enables us to derive many existing results for the M/G/1 queues with various vacation policies.
Photocatalysis Science And Technology

Thank you for reading photocatalysis science and technology. As you may know, people have look hundreds times for their favorite readings like this photocatalysis science and technology, but end up in infectious downloads. Rather than reading a good book with a cup of tea in the afternoon, instead they are facing with some malicious virus inside their desktop computer. photocatalysis science and technology is available in our book collection an online access to it is set as public so you can download it instantly. Our book servers spans in multiple locations, allowing you to get the most less latency time to download any of our books like this one. Merely said, the photocatalysis science and technology is universally compatible with any devices to read.
Metrics of Scrum Methodology

While software metrics typically help to assess the status of a project, product and process the suitable metrics in Agile Software Development (ASD) process is frequently questioned due to overheads involved. The software provides processes for measuring and predicting the developed quantitative planning software. In this paper there are some metrics which could be beneficial to the ASD process.
ANALISIS FAKTOR-FAKTOR YANG BERPENGARUH TERHADAP MARKET VALUE ADDED (MVA) PADA INDUSTRI MANUFAKTUR YANG TERDAFTAR DI BURSA EFEK INDONESIA

This research is an empirical study to analyze the data causally (cause and effect). This research entitled by: "Impact Analysis of Earnings, Operating Cash Flows, Economic Value Added (EVA) and DR to the Market Value Added (MVA)". The aim of this study was to determine the performance of manufacturing firms in Indonesia Trade Center. In addition, this study also aimed to determine the influence of Earnings, Operating Cash Flow, Economic Value Added (EVA) and DR to the Market Value Added (MVA). Population in this research are manufacturing companies that listing on the Indonesia Trade Center. Determination of the sample is done by purposive sampling method. The number of companies that used a sample of 23 companies. Period of research is 3 years during 2006 until 2008. Based on the results of research known that the performance of manufacturing firms in Indonesia Trade Center was good. By analysis of data using multiple regression showed that (1) Earnings significantly affect the Market Value Added (MVA), (2) Operating cash flow is not significantly affect the Market Value Added (MVA), (3) Economic Value Added (EVA) not significantly affect to the Market Value Added (MVA),(4) Debt Ratio (DR) significantly affect to the Market Value Added (MVA), (5) Simultaneously, Earnings, Operating Cash Flow, Economic Value Added (EVA) and DR significantly affect the Market Value Added (MVA), and (5) Operating Cash Flow is the most influential variable on Market Value Added (MVA). The implications of the conclusions above are in decision-making, both managers and investors, should see the company's performance. These performance indicators can be seen through Earnings, Operating Cash Flow, Economic Value Added (EVA) and Debt Ratio (DR).
Teaching and learning 24/7 using Twitter in a university classroom: Experiences from a developing country

It is understood that microblogging (tweeting) which is a form of Web 2.0, has been a centre of attraction in some institutions of higher education. However, despite its hype and pomp as reported by some scholars in developed countries, integration of Twitter in a classroom environment in developing countries is just beginning to flourish. In Malawi for example, it remains unknown how Twitter can be effectively assimilated into a university classroom to enhance teaching and learning. In this study therefore, I report on the findings about the practical use of Twitter in two university courses offered in the Department of Library and Information Science at Mzuzu University in Malawi. Findings of the study show that if properly deployed, Twitter is indeed an impetus of the much hailed learner-centred approach to teaching and learning. With the use of Twitter, I found that students shared and discussed course content with colleagues and me (lecturer) 24/7. Specifically, with the proliferation of Internet enabled phones and other mobile devices in Malawi, the study found that it was possible for students to generate out-of-class discussions and learn from each other without necessarily meeting physically. In addition, students were key contributors to their own learning as it was possible to effectively search, generate and share their own content through creating knowledge collaboratively. However, limited access to the Internet (due to unavailability of Wi-Fi) by students coupled with exorbitant Internet bundles, remain key challenges against the effective appropriation of Twitter in a university classroom.
Realidade Aumentada na Alfabetização com o "Jogo das Letras"

A fim de compreender cientificamente uma das caracteristicas mais importante do ser humano – a inteligencia, pesquisadores empreenderam inumeros estudos acerca do desenvolvimento e delineamento desta. Um nome que se destaca neste sentido e o do psicologo Howard Gardner, que junto a uma equipe de pesquisadores da Universidade de Harvard, conceberam a teoria das Inteligencias Multiplas (IM), segundo a qual o ser humano e dotado de multiplas inteligencias; dentre as quais a inteligencia linguistica. O presente trabalho volta-se para o desenvolvimento da citada inteligencia no processo de alfabetizacao – fase de aprendizado da leitura e da escrita; quando se faz necessario a utilizacao de recursos didaticos diversos, que estimulem as criancas; dentre os quais destaca-se o jogo computacional; que neste trabalho e somado a tecnologia de realidade aumentada (RA), a qual possibilita a visualizacao do mundo real misturado a objetos virtuais gerados por computador; ampliando assim a ludicidade da ferramenta educativa. Desta forma, com o proposito de apoiar o aprendizado infantil na etapa de alfabetizacao, alicercados na teoria das IM, no desenvolvimento deste trabalho foi construido jogo computacional educativo – o “Jogo das Letras”, aplicando RA. Palavras-chave : alfabetizacao; jogos computacionais educativos; realidade aumentada; teoria das inteligencias multiplas. Abstract In order to scientifically understand one of the most important human features – the intelligence, researchers have undertaken numerous studies on its development and delimitation. One name that stands out in this regard is psychologist Howard Gardner’s, who, with a team of researchers from the Harvard University, conceived the theory of Multiple Intelligences (MI), according to which the human being is endowed with multiple intelligences; being the linguistic intelligence one of them. This paper is focused on the development of the aforementioned intelligence in the literacy process - reading and writing learning phase; when it is necessary to use several teaching resources that encourage children; among which the computational game stands out; which, in this work, is added to the augmented reality (AR) technology, which enables the visualization of the real-world mixed with computer-generated virtual objects, thereby expanding the playfulness of the educational tool. Thus, with the purpose of supporting children’s learning in the literacy stage, grounded in MI theory, during the development of this work it was built the educational computer game - the “Game of Letters”, applying the AR technology. Keywords: literacy; educational computer games; augmented reality; theory of multiple intelligences.
A method for Generating Stable Privacy-Enhanced Addresses with IPv6 Stateless Address Autoconfiguration (SLAAC)

This document specifies a method for generating IPv6 Interface Identifiers to be used with IPv6 Stateless Address Autoconfiguration (SLAAC), such that addresses configured using this method are stable within each subnet, but the Interface Identifier changes when hosts move from one network to another. The aforementioned method is meant to be an alternative to generating Interface Identifiers based on IEEE identifiers, such that the same manageability benefits can be achieved without sacrificing the privacy of users. Status of this Memo This Internet-Draft is submitted in full conformance with the provisions of BCP 78 and BCP 79 . This document may not be modified, and derivative works of it may not be created, and it may not be published except as an Internet-Draft. Internet-Drafts are working documents of the Internet Engineering Task Force (IETF). Note that other groups may also distribute working documents as Internet-Drafts. The list of current InternetDrafts is at http://datatracker.ietf. org/drafts/current/ . Internet-Drafts are draft documents valid for a maximum of six months and may be updated, replaced, or obsoleted by other documents at any time. It is inappropriate to use Internet-Drafts as reference material or to cite them other than as "work in progress. " This Internet-Draft will expire on June 17, 2012.
The star-shaped Lambda-coalescent and Fleming-Viot process

The star-shaped $\Lambda$-coalescent and corresponding $\Lambda$-Fleming-Viot process where the $\Lambda$ measure has a single atom at unity are studied in this paper. The transition functions and stationary distribution of the $\Lambda$-Fleming-Viot process are derived in a two-type model with mutation. The distribution of the number of non-mutant lines back in time in the star-shaped $\Lambda$-coalescent is found. Extensions are made to a model with $d$ types, either with parent independent mutation or general Markov mutation, and an infinitely-many-types model when $d\to \infty$. An eigenfunction expansion for the transition functions is found which has polynomial right eigenfunctions and left eigenfunctions described by hyperfunctions. A further star-shaped model with general frequency dependent change is considered and the stationary distribution in the Fleming-Viot process derived. This model includes a star-shaped $\Lambda$-Fleming-Viot process with mutation and selection. In a general $\Lambda$-coalescent explicit formulae for the transition functions and stationary distribution when there is mutation are unknown, however in this paper explicit formulae are derived in the star-shaped coalescent.
A Navigation and Control System for a Mobile Robot for Patrolling Buildings

This paper presents the work completed under a research project titled „Design of a mobile platform for the support of forensic testing of scenes with potential CBRN hazards”. The study focuses on operation of the mobile platform control algorithm, determination of the mobile platform position and preparation of the mobile platform system for integration with a video navigation system. The sensors installed on the mobile platform are intended as emergency backup systems in the event of loss of communication between the platform and its operator. The results of the test drive sessions completed to verify the control algorithm performance are also given.
Kernelized Online Imbalanced Learning

of thesis entitled: Kernelized Online Imbalanced Learning Submitted by HU, Junjie for the degree of Master of Philosophy at The Chinese University of Hong Kong in June 2015 Imbalanced streaming data are prevalent in many real-world applications because people usually are attracted by rare events. These data exhibit the characteristics of huge volume, high velocity, extreme imbalance, and perhaps, nonlinearity and heterogeneity. Learning binary classification models from imbalanced data, where the number of samples from one class is significantly larger than that from the other class, is an important research topic in machine learning and data mining. To learn from imbalanced data, online AUC (area under the ROC curve) maximization is a promising tool. However, it is not well suited for handling nonlinearity and heterogeneity of the data. This thesis is mainly described in two parts. In the first part, motivated by the effectiveness of kernel methods, we propose a kernelized online imbalanced learning (KOIL) algorithm to produce a nonlinear classifier for imbalanced data. We conse-