Miracle-dz/UniFAR-FTUs huggingface dataset:
ENTROPY GENERATION DUE TO NANOFLUID LAMINAR FORCED CONVECTION FLOW THROUGH HEXAGON MICROCHANNEL HEAT SINK

Abstract. The effect of using nanofluids SiO2 with water on generated entropy of a hexagon microchannel heat sink (HMCHS) was numerically investigated in this research. Due to the sensitivity of entropy to duct diameter, hexagon microchannel with hydraulic diameters 278 μm were considered. Incompressible laminar flow regime was assumed. Hexagon MCHS using water as a base fluid with nanofluid (SiO2) at volume fraction 4% and nanoparticle 25nm. Obtained results signify that SiO2-H2O at heat flux 500 kw/m shows lower entropy generation than pure water. Moreover, when Reynolds number increases, frication entropy generation increases and thermal entropy generation and total entropy generation are decreases.
Utterance Verification for Automating the Hearing in Noise Test (HINT)

Tests of speech intelligibility play an essential role in many audiological procedures, including diagnostic assessment, verification of hearing aid and cochlear implant fittings, outcome assessment following intervention, and screening of applicants for hearing-critical jobs. The Hearing In Noise Test (HINT) [1] is a speech intelligibility test commonly used for these purposes. A limitation of the HINT, as well as other similar tests, is that they must be administered and scored by a human observer. The present study is an evaluation of a preliminary HMM-based utterance verification system that can be used in place of a human observer to administer HINT.
Minimal entropy martingale measure in a semi-Markov regime switching Cox-Ross-Rubinstein model

In this paper, we present a discrete time regime switching Cox-Ross-Rubinstein model where the regime switches are governed by a discrete time semi-Markov process. We model the evolution of the price of a stock and look at the pricing and hedging of options on that stock. We discuss and derive conditions for the model to be arbitrage free and relate this to the notion of martingale measure. We show that the market is incomplete i.e. that there exists an infinite number of martingale measures. This leads us to select a martingale measure. We choose to study and characterize the notion of minimal entropy martingale measure in this context. Finally, we conclude.
Spatial-Filtering Microwave Devices Using Metallic Anisotropic Grids Over Ground

In this review article the authors examine interesting resonance phenomena that result due to peculiar dispersion characteristics of continuous (unloaded) anisotropic grids along with corresponding applications. The phase space (k-space) of these metallic grids at resonant frequencies is characterized by isofrequency dispersion contours that have rectangular and hyperbolic shapes. As a result, energy propagation takes place in specified directions within the periodic structures, an effect called 'self-collimation'. Novel spatial-filtering and wave-guiding devices could be implemented using these properties. Two such spatial-filtering devices using different configurations of anisotropic metallic grids will be reviewed: a microstrip harmonic splitter that separates 3 GHz from its 6 GHz harmonic and a highly selective 5.8/6.2 GHz microstrip diplexer
Non-linear MHD simulations of ELMs

Introduction In recent years some progress has been made in the numerical simulation of Edge Localised Modes (ELMs) by means of non-linear MHD simulations of medium-n ballooning modes [15]. The MHD simulations are essential to improve our understanding of the physics of the ELMs (the onset, the amplitude of the crash, etc.) in view of the extrapolation to ITER and the control of ELMs. However, the simulation of a full ELM cycle remains an open problem. In this paper we describe the recent developments of the non-linear MHD code JOREK and the application to the non-linear simulations of ELMs.
Numerical Analysis of Non-Cavitating Underwater Propeller Noise

The non-cavitation noise of underwater propeller is numerically investigated. The main purpose is to analyze non-cavitation noise from underwater propellers in various operating conditions with different configurations. The noise is predicted using time-domain Acoustic Analogy and Boundary Element Method. The flow field is analyzed with potential based panel method, and then the time-dependent pressure data are used as the input for FfowcsWilliams Hawkings formulation to predict the far-field acoustics. Additionally boundary element method is also considered to investigate the effect of ducted propellers. With the BEM, sound deflection and scattering effect on the duct can be considered. Noise prediction results are presented for single propeller and ducted propeller in non-uniform inflow condition similar to real situation. Through this study, we can analyze dominant noise source of marine propeller and provide a basis for proper noise control strategies.
Combat aircraft effectiveness assessment using hybrid multi-criteria decision making methodology

Selection of military defense equipment, especially combat aircraft appropriately, effectively and efficiently affects to the readiness of the Indonesian Air Force in upholding the country's sovereignty in the air. Based on the problems, the military requires an application that can support decision-making for the electoral system Combat Aircraft. This paper presents a decision support system using MCDM method with a combination of methods Analytic Hierarchy Process (AHP) and Method Techniques For Preference Order By Similarity (TOPSIS). The methods use an experimental design technique to assign weights attributes and then the operating methods for building models of decision making. As an illustration of this model using six examples of anaircraft type that are still in operation this era with 6 kinds of criteria which determine in air to air dogfight. By using the MCDM method will generate preference value to rank each alternative type of aircraft.
Knowledge Transformation in Software Development Processes

This position paper discusses the theoretical found ation of Software Engineering (SE) and argues that it should consist of two branches, the first branch deals with the gener ic properties of software products, the second one deals with the generic properties of SE processes. The paper argues that o ne of the important properties of the software development pr ocess is its model of knowledge transformation, and it suggests to adapt Nonaka's SECI model for investigating and comparing various software development methodologies.
R & D Policies in FRance : new eviDence FRom a nUTs 3 sPaTial analysis Documents de travail GREDEG GREDEG Working Papers Series

The French policy-mix for R&D and innovation has deeply evolved in recent years and is nowadays, one of the most generous and market-friendly system in the world. This paper investigates the (evolutive) effects of this policy-mix by using a unique database containing information on the amount of R&D tax credit, regional, national and European subsidies received by firms in all French metropolitan NUTS3 regions over the period 2001-2011. By estimating a Spatial Durbin model with regimes and fixed effects, we provide new evidence on the efficiency of the French policy-mix. First, a yardstick competition between NUTS3 regions for R&D investment driven by negative spatial spillovers is found. Second, it seems that national subsidies are the only instrument able to generate a significant leverage effect on privately-financed R&D. Third, due to the context of spatial competition, the three other policies studied (Tax Credit, Regional and European subsidies) do not generate significant leverage or crowding-out effect. Fourth, we highlight the presence of structural breaks in our data that correspond to the last two important reforms of the French tax credit. Consequently, the effect of R&D policies and especially R&D tax credit are likely to change over time and influence ex-post evaluation results. JEL Classification:H25, O31, O38
Tuning the TCP Timeout Mechanism in Wireless Networks to Maximize Throughput via Stochastic Stopping Time Methods

We present an optimization problem that aims to maximize the throughput of a Transmission Control Protocol (TCP) connection between two nodes in a wireless ad-hoc network. More specifically, a persistent TCP connection is established between two nodes that are one hop away in a wireless unslotted Aloha network. The optimization is over the TCP timeout period, i.e. the problem is to find the optimal waiting period before the TCP sender declares a timeout event in the absence of a received acknowledgment for a transmitted packet. The problem is formulated as an optimal stopping problem. In the absence of a tractable analytical solution to the problem, a numerical method is proposed to achieve performance improvement of the system.
Representing Religion in the British Press : A Corpus-based Analysis

The study is concerned with investigating religion in all British broadsheet newspapers in two periods of time (January 2001 and January 2010). The purpose of choosing such periods is because of the global awareness of religion that followed the events occurred in the first decade of 21st century. Recent studies (Weller, 2011) have shown the place and the impact of religion on the public in Britain in the first decade of this century because of a number of events such as the New York 9/11 attacks of 2001, the Madrid bombing 11/3 of 2004, the London 7/7 bombing of 2005, and the Glasgow 30/6 bombing of 2007, as well as the invasions of Afghanistan in 2001and Iraq in 2003 and other events. Thus religion has radically changed and has broken into mainstream Western news agendas (Gower and Mitchell, 2012). I intend to analyse the press representation of three widespread religions in the UK – Christianity, Judaism, and Islam as it is impossible to cover all world religions in one research study. These three monotheistic religions are mostly practiced in the UK according to the census data in 2011 in the UK (ONS 2011); Christianity occupied the majority; Islam is next, and then Judaism. Investigating religions has been the focus of a range of frameworks in different disciplines such as media, theology, and sociology, but it has not been tackled with within the area of linguistics. Accordingly, this study is conducted using a selected set of corpus linguistic tools namely frequency lists, concordances, and collocations. I present a case study investigating applicability of the corpus tool Sketch Engine to sort collocates of those three religions. I aim to examine language used to represent these religions and their followers as well, i.e. how many times a certain group have been represented in the press as grammatical agents or patients in order to illustrate any changes in representation of religion over time.
Non-invasive ventilation improves hemorheology status in hypoxemic patients with acute myocardial infarction after PCI

Background Hypoxemia sometimes occurs in the emergency room in the patients with acute myocardial infarction (AMI) after percutaneous coronary intervention (PCI), even in those with administration of conventional high-flow oxygen inhalation. The objective of the present study was to evaluate the effectiveness of non-invasive ventilation (NIV) in improving blood oxygen content and hemorheology in patients with AMI and hypoxemia. Methods This prospective study enrolled 50 consecutive eligible patients with AMI (aged 72.3 ± 9.5 years), who had undergone PCI and been administered high-flow oxygen but still had hypoxemia. Blood was taken before NIV and at 0.5, 1, and 2 h after NIV. Blood gases, hemorheological variables including erythrocyte deformability, erythrocyte aggregation, erythrocyte osmotic fragility, membrane fluidity, and oxidative stress level were measured. Results Blood PaO2 increased to normal by 1 h after NIV. Assessed hemorheological variables had all improved and plasma malondialdehyde concentration decreased significantly after 2 h of NIV. Conclusions Our data suggest that NIV can help to improve blood oxygen content, hemorheological status, and minimize plasma lipid peroxidation injury in hypoxemic patients with AMI who have undergone PCI.
Using 3 D Image Data Beyond Visualization for NDE and Material Characterization : Numerical Analysis Techniques

Image-based modelling technology represents a fast-growing tool for using 3D image data such as CT, micro-CT and SEM as the basis for finite element and computational fluid dynamics. This paper discusses the latest developments in using numerical analysis techniques with image data, going beyond visualization, measurement and statistical analyses. Some of the key breakthroughs in software techniques for NDE and materials characterization include the ability to characterize properties such as permeability, porosity and elasticity, and meshing methods that ensure accurate multi-part models for design, simulation and Additive Manufacturing.Techniques have also been developed to calculate the effective material properties of scanned samples. Finite-element based homogenization can be used to calculate effective properties (elastostatic, flow, electrical.), enabling insights into material properties for scan data such as manufactured composite structures. For non-destructive evaluation, the ability to rapidly generate 3D models from image data allows for applications such as: visualization and inspection of defects during manufacturing and design; creation of simulation-ready models for FEA/CFD solvers; and quantification of material properties and problems such as cracks in samples. This paper will demonstrate the ease by which 3D image to visualization, analysis and model generation workflows can be combined. ---------------
The association of active cancer with venous thromboembolism location: a population-based study.

OBJECTIVE To test active cancer for an association with venous thromboembolism (VTE) location. PATIENTS AND METHODS Using the resources of the Rochester Epidemiology Project, we identified all Olmsted County, MN, residents with incident VTE during the 35-year period 1966-2000 (N = 3385). We restricted analyses to residents with objectively diagnosed VTE during the 17-year period from January 1, 1984, to December 31, 2000 (N = 1599). For each patient, we reviewed the complete medical records in the community for patient age, gender, and most recent body mass index at VTE onset; VTE event type and location; and previously identified independent VTE risk factors (ie, surgery, hospitalization for acute medical illness, active cancer, leg paresis, superficial venous thrombosis, and varicose veins). Using logistic regression we tested active cancer for an association with each of 4 symptomatic VTE locations (arm or intra-abdominal deep venous thrombosis [DVT], intra-abdominal DVT, pulmonary embolism, and bilateral leg DVT), adjusted for age, gender, body mass index, and other VTE risk factors. RESULTS In multivariate analyses, active cancer was independently associated with arm or intra-abdominal DVT (odds ratio [OR], 1.76; P = .01), intra-abdominal DVT (OR, 2.22; P = .004), and bilateral leg DVT (OR, 2.09; P = .02), but not pulmonary embolism (OR, 0.93). CONCLUSION Active cancer is associated with VTE location. Location of VTE may be useful in decision making regarding cancer screening.
A campus-wide hybrid 802.11/3G network and its implementation

The Open Access Research Test-bed for Wireless Networks (ORBIT) is a collaborative project involving industry and academia that is funded by the National Science Foundation (NSF). There are two components to the ORBIT test-bed. One is an indoor lab test-bed of a grid of wireless fidelity (WiFi) access points (APs); the other, a campus-wide field-trial outdoor network that attempts to create a hybrid network of wireless networks by combining third-generation (3G), fixed 802.11, and ad-hoc 802.11 networks. This paper focuses on the outdoor network and describes the various components of the hybrid network architecture. Because wireless clients do not normally have interfaces for disparate access technologies, the network uses mobile wireless gateways (MWGs) that serve as gateways for the mobile clients. These MWGs are able to backhaul traffic over multiple wireless access technologies (e.g., 3G and 802.11a/g/e). The mobile clients communicate with the MWGs using 802.11b links. The MWGs can communicate with the Internet over either the 3G or the fixed 802.11 network. All-Internet Protocol (IP) connectivity is provided to the MWG to access the 3G network using IP base stations (IP-BSs). We discuss various relevant handoff issues — including IP-BS to IP-BS (P-P) handoff within the 3G network, 3G to 802.11 network handoff, and handoff between different subnets within the 802.11 network — and present efficient mechanisms for all three handoff scenarios.
Pre-existing Hormonal Differences Between Oral Contraceptive Users and Nonusers? Evidence from Digit Ratio, Age of Menarche, and Sociosexual Orientation

Many studies in evolutionary psychology and behavioural endocrinology employ women who are not using hormonal contraceptives. Such a sample is typically used to examine menstrual cyclicity in behaviour (e.g., mate preferences) or the effects of endogenous hormones on behaviour. However, women who do not use hormonal contraceptives (i.e., nonusers and never-users) may differ from current users and ever-users. It is important that researchers are aware of population differences between hormonal contraceptive users and nonusers to prevent inappropriate generalization of findings from nonusers to users. The present study of 481 women provides indirect evidence of possible hormonal differences between oral contraceptive (OC) users, previous users, and nonusers. Compared to never users, current OC users had a lower second to fourth digit ratio (2D:4D) (suggesting higher prenatal testosterone exposure), a more unrestricted sociosexual orientation, earlier age of menarche, a higher rate of hormonal disorders, a higher likelihood of being in a relationship, and a higher rate of both non-OC medication use and illegal drug use. Previous OC users had the highest 2D:4D, the highest rate of hormonal disorders, the most non-OC hormonal medication use, the highest rate of premenarchial habitation with an unrelated man (e.g., a step-father), and a more unrestricted sociosexual orientation than never users. A possible OC-related mood stabilization effect was also found. The 2D:4D measures suggest that current, previous, and never users may be hormonally different groups, and that high 2D:4D may be a potential marker of women who experience OC-related side effects (and subsequently discontinue use). These findings are relevant to all researchers using human female participants to examine hormonal effects, and to researchers examining the risk of sexually transmitted diseases. * E-mail address: koinonen@lakeheadu.ca, tel: (807) 343-8096, fax: (807) 346-7734 Kirsten A. Oinonen, Janelle A. Jarva and Dwight Mazmanian 96
Penalized Bayesian Model Selection and Prediction for Gene Regulation in Higher Organisms

Penalization and sparse model selection have become topics of intense research interest in the era of big data, newly available through ubiquitous computing power, advancing data collection technologies, and internet connectivity. In genomics, chromatin immunoprecipitation, microarrays, and next generation sequencing have made available a wealth of information which continues to accumulate and which we have only begun to understand and fully utilize. We propose two penalized Bayesian tech- niques, one to select a sparse set of DNA binding factors (DBFs) from a large library with enriched binding to the genome in a set of regions of interest and to predict joint binding landscapes for the selected DBFs, and another to predict gene expression from joint binding landscapes.Cellular processes are controlled, directly or indirectly, by the binding of hundreds of different DBFs to the genome. One key to deeper understanding of the cell is discovering where, when, and how strongly these DBFs bind to the DNA sequence. Direct measurement of DBF binding sites (e.g. through ChIP-Chip or ChIP-Seq experiments) is expensive, noisy, and not available for every DBF in every cell type. Naive and most existing computational approaches to detecting which DBFs bind in a set of genomic regions of interest often perform poorly, due to the high false discovery rates and restrictive requirements for prior knowledge.We develop a penalized iterative sampling Bayesian method for identifying DBFs active in the considered regions and predicting a joint probabilistic binding land- scape. Utilizing a sparsity penalization, SparScape is able to select a small subset of DBFs with enriched binding sites in a set of DNA sequences from a much larger candidate set. This substantially reduces the false positives in prediction of binding sites. Analysis of ChIP-Seq data in mouse embryonic stem cells (ESCs) and simu- lated data show that SparScape dramatically outperforms the naive motif scanning method and the comparable computational approaches in terms of DBF identification and binding site prediction.We also propose an extension of Bayesian treed regression to predict gene expres- sion from joint binding landscapes. Rather than sampling from the space of possible partitioning trees, we follow a broad optimization approach, forking the growing partitioning tree at each possible split if multiple possible splits yield similar results in the given objective function. After growing the tree, we select variables at each leaf node of each forked partitioning tree, then take the union of these selected variables and the splitting variables at each internal node and re-grow the partitioning tree considering only the selected variables.
Prevalence and predictors of suboptimal control of childhood bronchial asthma : a community-based study in Dekerness District , Egypt

Corresponding author: Abdel-Hady El-Gilany E-mail: ahgilany@gmail.com Obiective. Estimarea prevalenței controlului suboptimal al astmului bronșic la copiii cu astm din zona Dekerness, Egipt, și identificarea factorilor de risc pentru astm în zonă. Populație și metodă. Acesta este un studiu descriptiv, transversal, desfășurat în comunitate, în zona Dekerness, Egipt, în perioada 1 mai 2016 – 30 aprilie 2017. Populațiațintă a fost reprezentată de copii cu vârste între 2 și 17 ani care locuiesc în zona de studiu. Un total de 201 copii astmatici identificați într-un studiu precedent au fost incluși în studiul curent. Datele au fost culese cu ajutorului unui chestionar completat prin interviu direct al mamei sau îngrijitorului copilului. Ghidul GINA a fost folosit pentru diagnosticul controlului astmului. Astmul parțial controlat și cel necontrolat au fost încadrate drept control suboptimal. Rezultate. Prevalența globală a controlului suboptimal a fost de 47,2%. Regresia logistică a identificat ca factori de risc independenți pentru controlul suboptimal al astmului lipsa medicației de control (AOR=2,1), lipsa planului de acțiune scris (AOR=9,8) și utilizarea medicației folosite prin nebulizare (AOR=2,2). Concluzii. Controlul suboptimal al astmului este foarte prevalent printre copiii și adolescenții din zona Dekerness. Folosirea medicației de control al astmului, oferirea unui plan de acțiune scris, precum și folosirea corectă a terapiei prin nebulizator pot contribui la un mai bun control al astmului. Cuvinte-cheie: astm bronșic, control suboptimal, aderența la medicamente, plan de acțiune în astm, nebulizator Abstract Rezumat