Miracle-dz/UniFAR-FTUs huggingface dataset:
University of Huddersfield Repository A Survey of Link Quality Properties Related to Transmission Power Control Protocols in Wireless Sensor Networks

— Transmission Power Control (TPC) protocols are poised for wide spread adoption in wireless sensor networks (WSNs) to address energy constraints. The link quality properties that need to be captured in order to identify the optimum transmission power (TP) have not been clearly defined and previous works have presented conflicting views on the matter. This has led to several current TPC protocols using vastly different link quality properties and reporting unreliable, unstable and inefficient network performance. In this work, observations from several empirical studies on low-power wireless links are applied to identify the most critical properties of link quality for a TPC protocol. Comparing the requirements against currently available link quality estimators, it is shown that link quality estimation in WSNs is still very much an open challenge and one that must be addressed in order to implement an accurate and reliable TPC protocol.
MCMC Methods for Functions: ModifyingOld Algorithms to Make Them Faster

Many problems arising in applications result in the need to probe a probability distribution for functions. Examples include Bayesian nonparametric statistics and conditioned diffusion processes. Standard MCMC algorithms typically become arbitrarily slow under the mesh refinement dictated by nonparametric description of the un- known function. We describe an approach to modifying a whole range of MCMC methods, applicable whenever the target measure has density with respect to a Gaussian process or Gaussian random field reference measure, which ensures that their speed of convergence is robust under mesh refinement. Gaussian processes or random fields are fields whose marginal distri- butions, when evaluated at any finite set of N points, are RN-valued Gaussians. The algorithmic approach that we describe is applicable not only when the desired probability measure has density with respect to a Gaussian process or Gaussian random field reference measure, but also to some useful non-Gaussian reference measures constructed through random truncation. In the applications of interest the data is often sparse and the prior specification is an essential part of the over- all modelling strategy. These Gaussian-based reference measures are a very flexible modelling tool, finding wide-ranging application. Examples are shown in density estimation, data assimilation in fluid mechanics, subsurface geophysics and image registration. The key design principle is to formulate the MCMC method so that it is, in principle, applicable for functions; this may be achieved by use of proposals based on carefully chosen time-discretizations of stochas- tic dynamical systems which exactly preserve the Gaussian reference measure. Taking this approach leads to many new algorithms which can be implemented via minor modification of existing algorithms, yet which show enormous speed-up on a wide range of applied problems.
Influence of Contrast Media Viscosity and Temperature on Injection Pressure in Computed Tomographic Angiography: A Phantom Study

PurposeIodinated contrast media (CM) in computed tomographic angiography is characterized by its concentration and, consecutively, by its viscosity. Viscosity itself is directly influenced by temperature, which will furthermore affect injection pressure. Therefore, the purposes of this study were to systematically evaluate the viscosity of different CM at different temperatures and to assess their impact on injection pressure in a circulation phantom. Materials and MethodsInitially, viscosity of different contrast media concentrations (240, 300, 370, and 400 mgI/mL) was measured at different temperatures (20°C–40°C) with a commercially available viscosimeter. In the next step, a circulation phantom with physical conditions was used. Contrast media were prepared at different temperatures (20°C, 30°C, 37°C) and injected through a standard 18-gauge needle. All other relevant parameters were kept constant (iodine delivery rate, 1.9 g I/s; total amount of iodine, 15 g I). Peak flow rate (in milliliter per second) and injection pressure (psi) were monitored. Differences in significance were tested using the Kruskal-Wallis test (Statistical Package for the Social Sciences). ResultsViscosities for iodinated CM of 240, 300, 370, and 400 mg I/mL at 20°C were 5.1, 9.1, 21.2, and 28.8 mPa.s, respectively, whereas, at 40°C, these were substantially lower (2.8, 4.4, 8.7, and 11.2 mPa.s). In the circulation phantom, mean (SD) peak pressures for CM of 240 mg I/mL at 20°C, 30°C, and 37°C were 107 (1.5), 95 (0.6), and 92 (2.1) psi; for CM of 300 mg I/mL, 119 (1.5), 104 (0.6), and 100 (3.6) psi; for CM of 370 mg I/mL, 150 (0.6), 133 (4.4), and 120 (3.5) psi; and for CM of 400 mg I/mL, 169 (1.0), 140 (2.1), and 135 (2.9) psi, respectively, with all P values less than 0.05. ConclusionsLow concentration, low viscosity, and high temperatures of CM are beneficial in terms of injection pressure. This should also be considered for individually tailored contrast protocols in daily routine scanning.
A New Antenna with Dual Band-Notched Function by Shorting Pin and S-Shaped Coupling Element

A simple microstrip UWB antenna with dual band- notch function is presented. The antenna consists of a square patch and a partial ground plane. For expanding the impedance bandwidth, H-shaped slot on the ground plane is etched. Also, to obtain two notched bands, S-shaped coupling element and an inverted L-shaped arm ended up a shorting pin are utilized. The antenna has a compact size of 15×22 mm2 which has been printed on an Fr4 substrate. Moreover, the proposed antenna has been successfully fabricated and measured, indicating broadband matched impedance (2.6-11.4 GHz, VSWR≤2) and dual band-notched (3.2-4 GHz and 5.1-6.1 GHz) respectively.
Computer Networking: A Top-Down Approach

Certain data-communication protocols hog the spotlight, but all of them have a lot in common. Computer Networking: A Top-Down Approach Featuring the Internet explains the engineering problems that are inherent in communicating digital information from point to point. The top-down approach mentioned in the subtitle means that the book starts at the top of the protocol stack--at the application layer--and works its way down through the other layers, until it reaches bare wire. The authors, for the most part, shun the well-known seven-layer Open Systems Interconnection (OSI) protocol stack in favor of their own five-layer (application, transport, network, link, and physical) model. It's an effective approach that helps clear away some of the hand waving traditionally associated with the more obtuse layers in the OSI model. The approach is definitely theoretical--don't look here for instructions on configuring Windows 2000 or a Cisco router--but it's relevant to reality, and should help anyone who needs to understand networking as a programmer, system architect, or even administration guru.The treatment of the network layer, at which routing takes place, is typical of the overall style. In discussing routing, authors James Kurose and Keith Ross explain (by way of lots of clear, definition-packed text) what routing protocols need to do: find the best route to a destination. Then they present the mathematics that determine the best path, show some code that implements those algorithms, and illustrate the logic by using excellent conceptual diagrams. Real-life implementations of the algorithms--including Internet Protocol (both IPv4 and IPv6) and several popular IP routing protocols--help you to make the transition from pure theory to networking technologies. --David WallTopics covered: The theory behind data networks, with thorough discussion of the problems that are posed at each level (the application layer gets plenty of attention). For each layer, there's academic coverage of networking problems and solutions, followed by discussion of real technologies. Special sections deal with network security and transmission of digital multimedia.
A hybrid approach to workflow modelling

The increase in Business Process Management projects in the past decade has seen an increase in demand for business process modelling techniques. A rapidly growing aspect of BPM is the use of workflow management systems to automate routine and sequential processes. Workflows tend to move away from traditional definitions of business processes can often be forced to fit a model which does not suit its nature. Existing process modelling tools tend to be biased to either the informational, behavioural or object oriented aspect of the workflow. Because of this, models can often miss important aspects of a workflow. As well as managing the relationship between the types of model it is important to consider who will be using it as process models are useful in various ways. This paper reports on a case study in a manufacturing company where users were surveyed to see which are the notation that are most common in modelling based on two main categories (behavioural and informational). Research outcomes showed that there is no prevailing set of standards used for either of these categories, whilst most user feel the need to use more than one approach to model their system at any given time.
Distribution of Six Oncogenic Types of Human Papillomavirus and Type 16 Integration Analysis in Chinese Women with Cervical Precancerous Lesions and Carcinomas

Objectives: The prevalent genotypes of human papillomavirus (HPV) infection and the significance of HPV16 integration in cervical precancerous lesions and cancer of Chinese women were investigated. Methods: HPV genotyping and HPV16 integration status were studied on 100 normal cervical cytology, 90 low-grade (LSIL) and 99 high-grade squamous intraepithelial lesions (HSIL), as well as 96 cervical cancer biopsies using DNA sequencing and quantitative real-time PCR. Results: HPV were detected in 12.0% of normal cytology, 93.3% of LSIL, 90.9% of HSIL and 89.6% of cervical cancer samples. High-risk HPV16, 18, 58, 52, 33 and 31 were the 6 major HPV types observed, composing 45.6, 82.8 and 85.4% of HPV infections in LSIL, HSIL and cervical cancers, respectively, with a significant rising trend in increasing disease severity (p = 0.002). While HPV16 and HPV18 were most commonly found in cervical cancer, HPV58 was prevalently observed in cervical precancerous lesions, and its frequency decreased with increased disease severity. Among HPV16-positive patients, 40.0% of LSIL, 88.9% of HSIL and 86.4% of cancer cases had HPV16 integration. The frequency of the integrated form of HPV16 significantly increased with the severity of the disease. Conclusions: Our results demonstrated that high-risk HPV infection and viral DNA integration were in progressive frequency from low-grade cervical precancerous lesions to cancer. HPV16 integration status had the potential to be a marker for cancer risk assessment of cervical precancerous lesions.
Detecting Suicidality From Facial Appearance

Suicide is a pervasive problem worldwide. In this investigation, we show that individuals can perceive suicidality from facial appearance with accuracy that is significantly greater than chance guessing. Inferences of expected or obvious cues, such as how depressed a person seems, did not lead to accurate judgments. Rather, perceptions of how impulsive an individual appears differentiated suicide victims from living controls. Teasing apart various forms of impulsivity revealed that perceptions of impulsive aggression, distinct from other forms of impulsive behavior (e.g., impulsive buying), distinguished suicide victims from controls. Finally, experienced mental health clinicians did not perform significantly better than laypersons at judging suicidality. Facial appearance may therefore hold cues to suicidality, expanding what is known about the expression and perception of social cues from the face and providing new insights into the relationship between mental health and nonverbal cues.
Analysis of Student Motivation Behavior on e-Learning Based on Association Rule Mining

—This research aims to create a model for analysis of student motivation behavior on e-Learning based on association rule mining techniques in case of the Information Technology for Communication and Learning Course at Suan Sunandha Rajabhat University. The model was created under association rules, one of the data mining techniques with minimum confidence. The results showed that the student motivation behavior model by using association rule technique can indicate the important variables that influence the student motivation behavior on e-Learning.
A survey on RFID security and provably secure grouping-proof protocols

RFID security is a relatively new research area. Within less than a decade, a large number of research papers dealing with security issues of RFID technology have appeared. In the first part of this paper, we attempt to summarise current research in the field of RFID security and discuss some of their open issues. In the second part of this paper, we address some of the open problems we suggested in the first part. In particular, we deal with scalability problem of existing grouping-proof protocols for RFID tags. In addition, we also present the first security definition for a secure grouping-proof protocol for RFID tags. The definition is then used to analyse the security of our proposed grouping-proof protocol which employs a (n, n)-secret sharing scheme to solve the scalability problem of previous protocols.
Sensitivity Analysis in Practice, Andrea Saltelli

2 is devoted to the efﬁcient search of the model space, a problem relevant to both model selection and model averaging. Section 4.2. 1 contains a description of greedy algorithms, and Section 4.2. 2 describes stochastic algorithms such as Markov Chain Monte Carlo model composition and Bayesian random searching. Finally section 4.3. 2 describes the reversible-jump Markov Chain Monte Carlo method. The chapter concludes with an analysis of the ozone data and the loan data. The book is intended for a wide audience; many of the topics and their treat-ment appeal to both frequentist and Bayesian statisticians. Researchers from the machine-learning community will also appreciate the author’s effort to bridge the gap, early in the book, between the two main interpretations of neural networks: as modeling tools, view favored by the statistical community
W-Band Steerable Composite Right/Left-Handed Leaky Wave Antenna for Automotive Applications

A novel structure for a frequency-independent steerable composite right/left-handed (CRLH) leaky wave (LW) antenna in the millimeter-wave band is proposed. This has the advantages of wide beam scanning and low profile, and is a suitable structure for mass-production. The proposed antenna has features wherein a movable dielectric slab is placed above the CRLH LW antenna, and the radiation angle can be steered by changing the distance between the slab and the antenna using compact actuators. Moreover, slots are added to the antenna to control the aperture amplitude distribution of the array antenna in order to enhance aperture efficiency. A prototype CRLH LW antenna has been fabricated with these slots, and backward-to-forward beam scanning characteristics at 76 GHz have been demonstrated successfully by measurement. A wide scanning angle from 73 to 114 deg. has been achieved experimentally. The aperture efficiency is 25.3%.
Age threshold for moderate and severe periodontitis among Korean adults without diabetes mellitus, hypertension, metabolic syndrome, and/or obesity

Abstract The purpose of this study is to determine an appropriate age threshold at which to recommend the evaluation of moderate and severe periodontitis among Korean adults. This study involved a cross-sectional analysis using data from the Korean National Health and Nutrition Examination Survey from 2012 to 2014. Incidence rates of periodontitis with the 95% confidence interval (CI) were evaluated. The predictive accuracy of age for periodontitis was determined by calculating the area under curve (AUC) on the basis of the receiver operating characteristic (ROC) curve. The cutoff value of age was 43 years in men having periodontitis with an AUC of 0.70 with 95% CI of 0.69 to 0.72. The AUC was 0.72 (95% CI: 0.70–0.73), and the cutoff value of age (49 years) was identified for the moderate periodontitis in women. The cutoff values for age with AUCs and 95% CI for individuals with periodontitis were 46 years (0.72 [0.71–0.73]), 43 years (0.73 [0.72, 0.74]), 45 years (0.71 [0.70,0.72]), 43 years (0.73 [0.72, 0.74]), and 45 years (0.74 [0.72, 0.75]) for no obesity, no abdominal obesity, no diabetes mellitus, no hypertension, and no metabolic syndrome groups, respectively. This study proposed the guideline for the appropriate age threshold at which to recommend the evaluation of moderate and severe periodontitis for the general population and additionally added the guideline for the individuals without systemic disease including diabetes mellitus, hypertension, metabolic syndrome, and obesity. This study suggests that the participants with certain age may be recommended for the regular periodontal evaluation.
On Optimality of Myopic Policy in Opportunistic Spectrum Access: The Case of Sensing Multiple Channels and Accessing One Channel

Recent works have developed a simple and robust myopic sensing policy for multi-channel opportunistic communication systems where a secondary user (SU) can access one of N i.i. d. Markov channels. The optimality of the myopic sensing policy maximizing the SU's expected accumulative reward is established under certain conditions on channel parameters. This paper studies the scenario where the SU, equipped with one radio, can sense k channels but access only one channel each time slot. The objective of the SU is to maximize its throughput over the time horizon T. By characterizing the myopic sensing policy in this context, we establish analytically its optimality for a subset of specific system settings, notably the cases k=2, T=2 and k=N-1 with arbitrary T. In the more generic case, we construct counterexamples to show that the myopic sensing policy is not optimal.
A novel exon 1 mutation (G10R) in the SOD1 gene in a patient with familial ALS

Abstract Mutations in the superoxide dismutase-1 (SOD1) gene have been found in 12–23% of patients with a diagnosis of ALS. Although the mechanism by which mutant SOD1 causes neural death remains elusive, several lines of evidence suggest that ALS is a protein-folding disease. Here we report a novel missense mutation in exon 1 of the SOD1 gene in a 68-year-old female with familial ALS characterized by spinal onset with upper and lower motor neuron signs and early neuroimaging evidence of corticospinal tract involvement. Molecular analysis identified a heterozygous mutation in codon 10, with substitution of a highly conserved glycine with arginine (G10R). Modelling of the mutant SOD1 showed a strong destabilization of the protein secondary structure that could influence the strength of the dimer interface. This property can result in a failure of the protein to fold and generation of toxic intracellular aggregates, suggesting a pathogenic role for the mutation.
Calcul parallèle-distribué pour les problèmes multiphysiques

Cet article traite d'une méthodologie de résolution numérique des problèmes dits multiphysiques telle l'interaction fluide-structure. Cette méthodologie est basée sur un paradigme de décomposition fonctionnelle suivi d'une décomposition géométrique. Quelques détails techniques sont fournis pour clarifier la présentation et surtout à aider le lecteur à implémenter cette approche. Les différents algorithmes de résolution sont discutés et des résultats de performance sont montrés. L'application de l'approche préconisée au problème de l'aéroélasticité non linéaire est directe. Les résultats de simulation des instabilités aéroélastiques de l'aile Agard 445.3 se comparent bien avec ceux de la littérature.
Investigation of the presence of extended spectrum beta-lactamases (ESBL) in multiresistant strains of E. coli and Salmonella species originated from domestic animals.

Bacterial strains which possess genes to produce ESBL most often are multiresistant and also carry genes responsible for the resistance to most other antibiotics, including aminoglycosides, sulfamethoxazole+trimethoprim and fluoroquinolones. Therefore, practically the biggest contemporary clinical problem are infections of humans and animals caused by ESBL-producing strains of E. coli, Kleibsiella, Enterobacter, Proteus, Serratia, Citrobacter, Salmonella and Shigella species. The investigation of the ESBL presence was completed on multiresistant E. coli and Salmonella strains originating from dogs, cats, cattle, sheep, goats, pigs and poultry. The investigated strains were isolated from ear, skin, vaginal, faecal, urine, egg and eggshell swabs, from healthy and diseased individual animals of various ages and breed categories. The sum of 112 E. coli and 45 Salmonella strains was investigated. All strains resistant to 3 or more antibiotics were categorized as multiresistant, which led to a conclusion that 35 E. coli and 6 Salmonella strains out of all investigated were multiresistant to antibiotics. The largest number of multiresistant E. coli strains was discovered in cattle - 12 in total, and the minimal number in goats and sheep, with two strains each. All multiresistant Salmonella strains belonged to the Salmonella Enteritidis species (S. enterica subsp. enterica serovar Enteritidis). The sum of multiresistant Salmonella strains compared to all investigated strains was relatively low (13.3%), but the resistance prevalence for some antibiotics in these strains was extremely high, for ampicillin and amoxicillin with clavulanic acid as high as 100%, and for tetracycline 83.3%. For the control in this investigation were used ESBL positive E. coli strains originated in human urine specimens. No presence of positive ESBL strains was established. However, when the screening investigation was performed, almost all the strains were suspect, thus a confirmatory test had to be performed for all strains.
Single pulse phase-control interferometric coherent anti-Stokes Raman scattering spectroscopy (CARS)

In coherent anti-Stokes Raman scattering spectroscopy (CARS) experiments, usually the amplitude of the signal is measured and the phase information is lost. With a polarization- and phase-controlled pulse shaping technique, the relative phase between the resonant and non-resonant CARS signals is controlled, and spectral interferometry is performed without an interferometer. Both the real and imaginary parts of the background-free resonant CARS spectrum are measured via spectral interferometry between the resonant and non-resonant signals from the same sample. The resonant signal is amplified significantly by homodyne mixing with the non-resonant signal as a local oscillator, greatly improving the detection limit.