Miracle-dz/UniFAR-FTUs huggingface dataset:
Comparing Direct Survey and Small Area Estimates of Health Care Coverage in New York

The Behavioral Risk Factor Surveillance Survey (BRFSS) is designed to produce estimates for states and large metropolitan areas. For some variables, county-level BRFSS estimates have been produced by others using small area estimation methodology. We generated county-level estimates of the proportion of adults with health insurance coverage (insured rate) using the New York BRFSS data. The goal was to demonstrate the small area estimation (SAE) technique using the readily-available R package BayesSAE. As a validation, we compared the results from BayesSAE with those from OpenBUGS, a wellestablished software for Bayesian computation. We also compared the model-based estimates with direct design-based estimates.
DE-BIAS TECHNIQUES AND COGNITIVE ABILITY IN DECISION MAKING

This paper analyzes the effects of data presentation on decision-making using probabilistic data. It is well documented in the decision sciences literature that humans have difficulty intuitively assessing probabilistic data to make sound decisions. It is also known that decision-makers are influenced by how the data is presented. This paper presents a model of how decision-makers are subject to anchoring effects when presented with probabilistic data. We then test various techniques to mitigate the anchoring bias. We found that providing domain knowledge, i.e., a formula to guide the solution, worked best in reducing anchoring bias and helping decision makers to reach an optimal decision.
Carry select adder using BEC and RCA

DESIGN of power-efficient and high-speed data path logic systems are one of the most substantial areas of research in VLSI system design. In digital adders, the speed of addition is limited by the time required to propagate a carry through the adder. The sum for each bit position in an elementary adder is generated sequentially only after the previous bit position has been summed and a carry propagated into the next position. The Carry select adder (CSLA) is used in many computational systems to alleviate the problem of carry propagation delay by independently generating multiple carries and then select a carry to generate the sum . However, the CSLA is not area efficient because it uses multiple pairs of Ripple Carry Adders (RCA) to generate partial sum and carry by considering carry input , then the final sum and carry are selected by the multiplexers (mux). The basic idea of this work is to use Binary to Excess-1 Converter (BEC) instead of RCA in the regular CSLA to achieve high speed and low power consumption.
The Design of 3 G Mobile Video Surveillance System Based On J 2 ME Platform

The moving video surveillance system plays an important role in many fields, a moving video surveillance system based on 3G wireless network is proposed in this paper. The increasing bandwidth of 3G wireless networks provides us with implementing the moving video monitoring in 3G mobile. The J2ME platform is applied in 3G mobile video monitoring software design because of the outstanding mobile application development platform and cross-platform advantage. The design of mobile video surveillance is discussed and presents a mobile client development details. © 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of [CEIS 2011]
Sequential Paging for Moving Mobile Users

In this thesis, some methods for efficient paging for mobile systems have been investigated. Compared to the conventional method, the methods proposed here increase the mobile stations discovery rate while decreasing the signaling load between the mobile switching centers and the mobile stations. As the cell sizes shrinks, the probability that the mobile stations moves between the cells during the paging process gets higher. These methods takes this probability into consideration and are based on the case when the movement between the cells are described as a Markov model. One of the algorithms is called the pqup-algorithm. This method works well under both heavy traffic and light traffic. The main method is the POMDP-algorithm. A POMDP is a generalisation of a Markov decision process that allows for incomplete information regarding the state of the system. The POMDP-algorithm does not quite work yet and the method is going to be investigated further. The results so far is presented in this thesis. The methods are fully compatible with current cellular networks and requires small amount of computational power in the mobile switching centers. (Less)
LARGE SCALE IMPUTATION OF SURVEY DATA

The demand for statistical information to aid government and management decision-making has been increasing for many years. In the past, Statistics Canada was able to cope with this situation by expanding the scope and number of their surveys. Recently, such expansion has become inhibited as a result of two factors. Firstly, there is an increasing sensitivity to complaints from respondents about the burden of completing questionnaires. Secondly, current fiscal policies prevent growth in manpower. There is no indication that either of these factors is likely to be short-lived. Thus, in order to cater to an increased. ~demand for information without raising costs or response burden, Statistics Canada is committed to making the best possible use of existing data, including data collected by other agencies for administrative purposes. One particular manifestation of this policy was the decision to use financial data from Revenue Canada to supplement two annual surveys of businesses for the 1975 reference year. This paper deals with the systems which evolved as a result.
ScienceDirect 12 th International Conference on Vibration Problems , ICOVP 2015 Dynamical stability analysis of a fluid structure interaction system using a high fidelity Navier-Stokes solver

The present paper investigates the flow induced dynamics of a non-linear fluid-structure interaction (FSI) system comprising of a symmetrical NACA 0012 airfoil supported by non-linear springs. Two methods are used in calculating the aerodynamic loads: a linear analytical approach and a full Navier-Stokes (N-S) solution. The analytical approach is based on the assumption of potential flow theory and a rigid wake. Wind velocity as a bifurcation parameter shows that the structural response undergoes a supercritical Hopf bifurcation. However, the analytical loads predict unrealistic bifurcation onset at low values of solid to fluid added mass ratio (μ) relevant to the application of flapping wing micro air vehicles (MAVs), showing the extremely large amplitude of oscillations. These observations render the use of an inviscid approach meaningless at such parametric regimes. Hence, we propose to use a N-S solver to emphasize the limit of applicability of the linear aerodynamic theory. Moreover, the inclusion of the viscous effects can potentially result in interesting dynamical behavior that has not been captured by the analytical approach. A bifurcation and stability analysis has been carried out for different parametric variations of μ in the fluid structure interaction system. c © 2016 The Authors. Published by Elsevier Ltd. Peer-review under responsibility of the organizing committee of ICOVP 2015.
Chapter 2 Surgical Procedures to Study Microglial Motility in the Brain and in the Spinal Cord by In Vivo Two-Photon Laser-Scanning Microscopy

Microglia are the innate immune cells of the central nervous system (CNS). As such, they contribute to neural infl ammation in a large number of neurodegenerative diseases. The processes of microglia are continuously moving to survey the brain parenchyma. Depending on local signals, microglia can almost instantaneously change their morphology. Two-photon laser-scanning microscopy (2P-LSM) has become the method of choice to study microglia in vivo. Here, we will describe in detail surgical procedures to prepare transgenic mice with fl uorescent protein expression for 2P imaging of microglia in the cortex and the spinal cord. In addition, we will give some advice how to optimize image quality.
Is age a good predictor of emotional intelligence – a case study among private sector employees

Emotional Intelligence (EI) has become one of the frequently researched topic of todays world. It starts off with the understanding on intelligence but goes on to be applied in the world of business. Research shows that EI predicts success in the workplace. It is more important than Intelligence Quotient (IQ). It is believed that IQ is required at the entry level but EI brings success, builds team, resolves conflict, prepares one for leadership, helps managers to overcome the dark spots of their career and many more. But a pertinent question that comes is which are the different factors that may predict or influence EI. If they can be identified then EI may be taught. In the quest of understanding which factors may contribute to EI, this paper makes an empirical analysis of age as a predictor of EI taking a sample of 80 private sector employees. It has been found that age does predict EI. Thus, EI develops with age.
Glycated Albumin a Better Screening Tool cum Short Term Glycemic Marker over HbA1c in Gestational Diabetes.

ObjectiveGlycated albumin has a half life of 20-25days and may be a better short term marker of glycemic control than haemoglobin A1C. Our main objective was to determine the correlation between GA and HbA1c along with a simultaneous 50-gram glucose tolerancetest (OGTT) during the first trimester of pregnancy in diagnosis as well as monitoring of gestational diabetes mellitus (GDM). Material and MethodsThis prospective cohort study enrolled 350 with no history of type 1 or type 2 diabetes pregnant woman irrespective of trimesters visit to MAPIMS hospital Melmaruvathur. All the participants gone through 75g OGTT. Woman with elevated OGTT levels (135-200 mg/dl) again underwent for 2 hr GTT. Blood was collected and analysed for FP glucose, Glycated Albumin and HbA1C.The statistical analysis was done by using SPSS, version 16.0. ResultsOf 350 eligible patients, 110 had GDM and 40 patients did not, per OGTT. The percentage of patients with GA values (Reference range 14-16%) equal to or above sequential cut points. The mean HbA1c of GDM patients were 5.5±1.02. Conclusion-This study suggests that GA is better sensitive marker in measuring GDM when compared with HbA1c values which are within the normal range and there is only little correlation with OGTT. Key WordsGlycated Albumin, HbA1C, GDM. INTRODUCTION Gestational Diabetes Mellitus defined as carbohydrate intolerance with onset or first recognition during pregnancy. [1] The prevalence of GDM in India varied from 3.8 to 21% in different parts of the country, depending on the geographical locations and diagnostic methods used. GDM has been found to be more prevalent in urban areas than in rural areas. [2] Compared to selective screening, universal screening for GDM detects more cases and improves maternal and neonatal prognosis. [3] Hence, universal screening for GDM is essential, as it is generally accepted that women of Asian origin and especially ethnic Indians are at a higher risk of developing GDM and subsequent type 2 diabetes. [4] Screening for GDM is achieved by glucose
Emerging Systems Approaches in Information Technologies: Concepts, Theories and Applications

Through a systematic view of technologies, researchers are now finding it less complicated to examine, predict, and explain complex interactions between fields such as engineering and computer science. Emerging Systems Approaches in Information Technologies: Concepts, Theories, and Applications presents innovative research findings utilizing the incorporation of the systems approach into fields such as systems engineering, computer science, and software engineering. Containing philosophical evaluations and issues related to complexity, this publication provides academicians, practitioners, and researchers with the first resource that fully emphasizes the integration of this approach.
Evaluating the performance of nanoparticle zero-valent iron in arsenic ( V ) removal from groundwater

*Corresponding Author’s E-mail: hkesfahaani@gmail.com Arsenic is a toxic metalloid present in groundwater that threatens human health seriously. In this study arsenic(V) removal is investigated from drinking water using nanoparticle zero-valent iron (NZVI). Arsenate concentration was reduced to standard limitation levels (0.01 mgL-1) in batch experiment. In this experience, arsenate mixed with NZVI in ultrasonic device was separated from water. The remaining arsenate in the water was measured with ICP-OES device with As > 0.01mgL-1 measurement. In this article, the effect of mixed time, pH, NZVI and arsenic dosage were investigated. Langmiur adsorption capacity was obtained to be 9.56 mgg-1 at pH 7. Major anions including chloride, sulfate and chromium ions did not show considerable interference in the adsorption behavior, while satisfactory arsenate removal was not obtained in the presence of phosphate ions. NZVI could be developed as an applicable adsorbent for arsenate removal.
Useful Patterns for BPEL Developers

Modern enterprises use service-oriented architecture to accommodate business agility. One of the most important SOA standards is BPEL, because it provides a means to specify business processes and their interaction. In this paper we examine patterns that are related to BPEL or can be implemented in BPEL. The most important identified pattern types are SOA patterns, workflow patterns and integration patterns. We analyze these aforementioned sets of patterns, sort out and briefly describe patterns used for web service composition and patterns that can be implemented in BPEL. The main aim of this paper is to list existing patterns that are relevant to BPEL developers.
Design of an Ultrasonic Range Finder with DSP MSP430 Embedded System

This research designs an ultrasonic range finder where a MSP430F413 embedded system is used as a controller system. The research presents the instrument architecture with ultrasonic transmitted circuit, received circuit, embedded system. Also it study that the temperature and time interval error influences the distance detecting accuracy in the ultrasonic range finder,
APPLICATION OF PAIRED COMPARISON METHODOLOGY IN MEASURING CANADIANS ' FOREST VALUES

INTRODUCTION The evolution of the environmental movement in the latter half of the 20th century has been in large measure a result of growing public concerns about the impacts of industrialization, and its increasing pressure on both human health and physical ecosystems. Today, decision-makers must give careful consideration to public priorities and values in addressing environmental issues, and balancing them with economic and social pressures. Industries can no longer extract resources and discharge untreated waste without regulatory oversight, governments are under increasing pressure to tighten up and enforce environmental standards, while consumers are increasingly facing their own responsibility for environmental problems. An environmental ethic has taken root in our society, but its position v i sa vis other social values with which they come into conflict (e.g. economic) remains to be resolved. Social research has played a role in the emergence of environmental values in North America, in providing a means of identifying this trend in the population-at-large, understanding its social dynamics, and documenting its evolution. Over the past 20 years, in-depth studies and broad-based public opinion polls documenting consistent and broad-based public support for stronger environmental protection have been a catalyst in the development of new legislation, institutions and a better understanding of our collective values. One area in which social science has yet to make a substantive contribution is in gauging the relative priority which citizens place on different priorities, or values, as they relate to the use and management of cherished natural resources; values which often conflict. Important natural resources, such as old growth forests or marine estuaries, provide a multitude of benefits environmental, economic, recreational but these are often in conflict, if not incompatible. Societal values, of course, are difficult to measure. Social surveys are highly effective in measuring opinions, perceptions and attitudes, but are not well suited to obtaining accurate discriminations among positive attributes, such as broad social values. The central problem is one of establishing a clear measure of the relative priority which individuals place on what they value in their region's natural resources, all of which may be important, but which often times also conflict with one another. This paper presents a study which addressed the measurement of environmental values through an innovative application of an old methodology (paired comparison scaling), to gauge the relative priority which Canadians place on their forest resources. The paper discusses the application of the techniques for measuring forest values, provides an overview of the results of the study, and discusses the strengths and limitations of this method for future applications.
Comparisons of the walking ability of some Australian sheep.

Comparisons were made of the walking behaviour of sheep of contrasting breed and physiological condition. The sheep were confined to narrow laneways in which the food and water sources were separated by long distances, and measurements were made of mean daily distance walked and walking speed. Maximum daily distances walked when the food and water were 4 km apart were 14.0 km for Border Leicesters, 13.7 km for Merinos and 9.0 km for Dorset Horns. The speed of walking was 2.2-2.7 km/h for Border Leicesters and Merinos, but only 0.8 km/h for Dorset Horns. Pregnancy and lactation in Dorset Horn x Merino sheep reduced walking distance and walking speed.
Organization and function acquisition in protein-protein interaction networks

Protein-protein interaction (PPI) networks enable the transmission of biological information throughout cells, allowing cells to respond to environmental stimuli. PPI networks can be represented as graphs, and graph analysis techniques have been applied in order to determine the topological roles played by individual proteins in PPI network structure. However, more complex analysis is needed to study the functional organization of PPI networks. In addition, the proteins that make up PPI networks change and evolve new functions over time. In the first part of this thesis, we introduce a metric, functional insularity, to measure the degree to which proteins physically interact with functionally related proteins. Proteins in PPI networks exhibit significant variation in insularity values, suggesting the presence of a tradeoff between network modularity and connectivity. Low-insularity proteins—those that interact with many functionally unrelated proteins—are more crucial than high-insularity proteins to maintaining network connectivity, are less likely to be essential, and have more regulators. Furthermore, we show that between-species homologs tend to have similar levels of functional insularity. Low-insularity proteins are found between topological network modules as well as within them. We find that functional and topological network modules contain proteins with a range of insularity values, including low-insularity proteins that might may function as “interfaces” to other modules. Finally, we show how functional insularity analysis can be applied to improve network clustering analyses. In the second part of this thesis, we study the acquisition of new functions by proteins and their integration into the PPI network. We first use a maximum parsimonybased approach to infer the ages of human proteins. We then determine various function-related traits for each age group, such as protein-protein interaction count, expression ubiquity, and number of unique domains. We find that young proteins in human have fewer protein-protein interactions, have fewer unique domains, are iii expressed in fewer tissues, and are less likely to be essential than older proteins. In addition, we find that proteins tend to physically interact mainly with other proteins of similar age. Finally, we find that younger pairs of paralogs are more coexpressed and share more common regulators than older pairs. In sum, this thesis advances our understanding of PPI networks by showing that the dual requirements of modularity and connectivity are balanced using “connector” proteins and “module” proteins, which have distinct biological traits, and by uncovering differences between young and old proteins that suggest that proteins gain functions and integrate into networks over time.
Morphologically Annotated Corpora for Seven Arabic Dialects: Taizi, Sanaani, Najdi, Jordanian, Syrian, Iraqi and Moroccan

We present a collection of morphologically annotated corpora for seven Arabic dialects: Taizi Yemeni, Sanaani Yemeni, Najdi, Jordanian, Syrian, Iraqi and Moroccan Arabic. The corpora collectively cover over 200,000 words, and are all manually annotated in a common set of standards for orthography, diacritized lemmas, tokenization, morphological units and English glosses. These corpora will be publicly available to serve as benchmarks for training and evaluating systems for Arabic dialect morphological analysis and disambiguation.
New perspectives in algebraic systems theory

Many systems coming from mathematical physics, applied mathematics and engineering sciences can be described by means of systems of ordinary or partial differential equations, difference equations, differential time-delay equations. If those systems are linear, then they can be defined by means of matrices with entries in (non-commutative) polynomial rings of functional operators such as the rings of differential operators, shift operators, time-delay operators. This idea can be traced back to J. Boole’s two treatises [3, 4] on linear systems of differential and difference equations (1859, 1860). The rings of differential operators, shift operators and time-delay operators belong to an important class of non-commutative polynomial rings called Ore algebras ([32]) which have recently been studied in symbolic computation ([11]) and multidimensional systems theory ([9, 10]). Alternatively, infinite-dimensional linear systems can be described by means of matrices with entries in convolutional algebras ([28]) or Banach algebras such as the Hardy algebra H(C+), the Callier-Desoer algebras A and Â and the Wiener algebra W+ ([15, 64]). The underlying operational calculus was pioneered by O. Heaviside’s work on linear differential equations (1880-1887).
Analysis of fuzzy rule optimization models

Optimization without losing the accuracy and interpretability of rules is a major concern in rule based system. Fuzzy Inference system characterized by uncertainty tolerance is the best way to represent a knowledge based system. Optimization of rule based systems starts by incorporating self- learning ability to a fuzzy inference system. This can be achieved by neural networks, there by developing a neuro fuzzy inference system. This paper analyses different neuro fuzzy inference systems . The analysis has been performed in different types of datasets in terms of dimensionality and noises. Analysis results concludes that the neuro fuzzy model DENFIS (Dynamically Evolving Neuro Fuzzy Inference System) shows an improved performance when handling with high dimensional data. Simulation results on low dimensional data exhibits similar performance in ANFIS (Adaptive Neuro Fuzzy Inference System) and Denfis.