Miracle-dz/UniFAR-FTUs huggingface dataset:
Delay Analysis of Converged Medium Transparent Fixed Service Optical-Wireless Networks

We demonstrate for the first time an analytical model for computing the end to end packet delay of an Optical/Wireless 60GHz Radio-over-Fiber (RoF) network operating under the Medium-Transparent MAC (MT-MAC) protocol. The model takes into account contention both at the optical and the wireless layer, effectively incorporating the MT-MAC mechanism for seamless and dynamic capacity allocation over both optical and wireless transmission media. Based on this model, we provide an extensive delay performance analysis of the Medium Transparent MAC protocol for various optical capacity availability scenarios, varying load conditions and optical network fiber lengths. The theoretical results are found to be in good agreement with respective simulation-based findings, confirming that the employment of Medium Transparent MAC protocols can allow for efficient incorporation of the MT-MAC scheme into the upcoming era of 5G mm-wave small-cell networks.
I never thought I'd be that strong : The effect on the professional helper when working with assessment and treatment of child sexual abuse in South Africa.

The aim of this study was to explore how professional helpers, who work at a clinic in South Africa, experience and are affected by their work in the assessment and treatment of child sexual abuse. Twelve professional helpers were interviewed using a qualitative, semi-structured interview. The analysis of the interviews resulted in five overall categories. These are; The work with children; Pressures at work; Motivation for doing the job; Influences on a personal level and Coping strategies. Our study reveals that all of the professionals are influenced by their work but most of them not to the extent that they cannot enjoy life. The people who, apart from working with abused children, also work within management seem more affected by their work. Thus one of the conclusions is that the professionals are influenced by the entire work situation and not only by the clients that they meet. Another conclusion is that the work with sexually abused children has an effect on the professionals'private lives and that boundaries between work and private life are hard to keep.
Unlocking Triticeae genomics to sustainably feed the future

The tribe Triticeae includes the major crops wheat and barley. Within the last few years, the whole genomes of four Triticeae species—barley, wheat, Tausch’s goatgrass (Aegilops tauschii) and wild einkorn wheat (Triticum urartu)—have been sequenced. The availability of these genomic resources for Triticeae plants and innovative analytical applications using next-generation sequencing technologies are helping to revitalize our approaches in genetic work and to accelerate improvement of the Triticeae crops. Comparative genomics and integration of genomic resources from Triticeae plants and the model grass Brachypodium distachyon are aiding the discovery of new genes and functional analyses of genes in Triticeae crops. Innovative approaches and tools such as analysis of next-generation populations, evolutionary genomics and systems approaches with mathematical modeling are new strategies that will help us discover alleles for adaptive traits to future agronomic environments. In this review, we provide an update on genomic tools for use with Triticeae plants and Brachypodium and describe emerging approaches toward crop improvements in Triticeae.
Design of a sub-microsecond carrier class router: The omnipresent ethernet approach

In this paper, we present the design of a microsecond latency carrier-class switch/router using the recently proposed Omnipresent Ethernet (OEthernet for short), technology paradigm. The premise of the OEthernet technology is to convert a network into a binary tree, and then facilitate binary and source routing - using some of the advances of Carrier Ethernet for protocol manifestations. The technology supports higher layer functions like routing, flow control, etc. while facilitating very fast switching (much required in the data-center or service oriented transport environment), and using significantly lesser energy compared to conventional switches and routers. A novel switch architecture (central to the technology) is presented in this paper. The architecture uses a combination of an express crossbar switch along with a new lumped memory contention module. This takes advantage of the binary routing property of the Omnipresent Ethernet technology, while also supporting more traditional contention resolution logic for super-fast switching at high loads/blocking. This opportunistic switching architecture is described in detail from an implementation perspective, with particular focus on the timing requirements. A simulation model verifies our architecture at the switch-level and the network level. Latency through the switch is measured at sub-microsecond - the lowest recorded for switches and routers in this category.
Photoactive dye‐enhanced tissue ablation for endoscopic laser prostatectomy

Laser light has been widely used as a surgical tool to treat benign prostate hyperplasia (BPH) over 20 years. Recently, application of high laser power up to 200 W was often reported to swiftly remove a large amount of prostatic tissue. The purpose of this study was to validate the feasibility of photoactive dye injection to enhance light absorption and eventually to facilitate tissue vaporization with low laser power.
Nutritional Impact of Highly Pathogenic Avian Influenza in Kenya

Background Outbreaks of highly pathogenic avian influenza (HPAI) (virus type H5N1) have led to extensive bird culling and other control measures throughout the world, with implications especially for the livelihoods of the poor. There is limited empirical evidence for the impact of HPAI on poultry consumption and nutrition of vulnerable populations. Objective To test the effect of reduced per capita poultry consumption at the household level due to an HPAI event on anthropometric measurements of children. Methods This study used data from the Kenya Integrated Household Budget Survey (KIHBS) 2004/05 to characterize the nutritional status of young children 6 to 36 months of age, household dietary diversity (number of food groups consumed), and determinants of anthropometric outcomes, including z-scores for height-for-age (HAZ), weight-for-age (WAZ), and weight-for-height (WHZ). Propensity score matching (PSM) was applied to ascertain the nutritional impacts of reduced poultry consumption arising from an HPAI event. Results Thirty-four percent of the children were stunted (HAZ < −2 SD), 16% were underweight (WAZ < −2 SD), and 8% were wasted (WHZ < −2 SD), with the highest prevalences in the Coast, Eastern, North Eastern, Nyanza, and Rift Valley provinces. On average, households reported consuming food from 2.5 ± 1.3 food groups per week. Consistently significant determinants of anthropometric outcomes in these children were child's age, child's sex, household level of education, and various income and wealth determinants. PSM demonstrated that a reduction of consumption of poultry meat and eggs due to HPAI infection would increase the prevalence of stunting by 3.9 percentage points (Average Treatment Effect on the Treated (ATT), p = . 06), increase the prevalence of underweight by 5 percentage points, and reduce WAZ by 0.16 (ATT, p = .03). Conclusions Through the household dietary diversity and consumption pathways, HPAI could have nutrition-related consequences with public health significance. In the event of HPAI, action may be needed to protect the nutrition of young children 6 to 36 months of age.
Optimization of Object-Based Image Analysis With Random Forests for Land Cover Mapping

A prerequisite for object-based image analysis is the generation of adequate segments. However, the parameters for the image segmentation algorithms are often manually defined. Therefore, the generation of an ideal segmentation level is usually costly and user-depended. In this paper a strategy for a semi-automatic optimization of object-based classification of multitemporal data is introduced by using Random Forest (RF) and a novel segmentation algorithm. The Superpixel Contour (SPc) algorithm is used to generate a set of different levels of segmentation, using various combinations of parameters in a user-defined range. Finally, the best parameter combination is selected based on the cross-validation-like out-of-bag (OOB) error that is provided by RF. Therefore, the quality of the parameters and the corresponding segmentation level can be assessed in terms of the classification accuracy, without providing additional independent test data. To evaluate the potential of the proposed concept, we focus on land cover classification of two study areas, using multitemporal RapidEye and SPOT 5 images. A classification that is based on eCognition's widely used multiresolution segmentation algorithm (MRS) is used for comparison. Experimental results underline that the two segmentation algorithms SPc and MRS perform similar in terms of accuracy and visual interpretation. The proposed strategy that uses the OOB error for the selection of the ideal segmentation level provides similar classification accuracies, when compared to the results achieved by manual-based image segmentation. Overall, the proposed strategy is operational and easy to handle and thus economizes the findings of optimal segmentation parameters for the Superpixel Contour algorithm.
Relationship between Speech Rate Perceived and Produced by the Listener

Abstract The present research examines the impact of listeners’ own rate of speech production on their perception of speech rate. We recorded 28 native French speakers reading a passage at normal, fast and slow rates. The same speakers then assessed the rate of production of these samples by all speakers and at all rates (normal, fast and slow), using a magnitude estimation task. We show that there is an inverse relationship between listeners’ own rate of production and their judgment of rate, so that listeners with slower rates tend to overestimate sample rates relative to faster speakers. This effect of listeners’ own rate was present in the magnitude estimation results at slow and normal rates, but not at fast rates. Furthermore, listeners with a slow rate are more sensitive to rate differences within a given rate category (normal, fast and slow). The listener’s own rate should therefore be considered as a critical factor in speech rate perception.
Word and text processing in developmental prosopagnosia

ABSTRACT The “many-to-many” hypothesis proposes that visual object processing is supported by distributed circuits that overlap for different object categories. For faces and words the hypothesis posits that both posterior fusiform regions contribute to both face and visual word perception and predicts that unilateral lesions impairing one will affect the other. However, studies testing this hypothesis have produced mixed results. We evaluated visual word processing in subjects with developmental prosopagnosia, a condition linked to right posterior fusiform abnormalities. Ten developmental prosopagnosic subjects performed a word-length effect task and a task evaluating the recognition of word content across variations in text style, and the recognition of style across variations in word content. All subjects had normal word-length effects. One had prolonged sorting time for word recognition in handwritten stimuli. These results suggest that the deficit in developmental prosopagnosia is unlikely to affect visual word processing, contrary to predictions of the many-to-many hypothesis.
FOUM: A flow-ordered consistent update mechanism for software-defined networking in adversarial settings

Due to the asynchronous and distributed nature of the data plane, consistent configuration updating across multiple switches is a challenging issue in Software-Defined Networking (SDN). The existing version-stamping-based mechanism (VSM) could guarantee per-packet consistency, but this mechanism is designed for non-adversarial settings and can be compromised easily by a malicious attacker. In this paper, we propose an efficient flow-ordered update mechanism that aims to provide per-packet consistency in adversarial settings. Our proposal does not need to stamp data packets with the configuration version, and is robust against both the packet-tampering and packet-dropping attacks. It outperforms a naive mechanism that simply patches VSM using digital signatures in three aspects: First, the switches in this mechanism only need to sign and verify a single control packet, which significantly improves the packet processing time. Second, it avoids keeping both old and new policies on switches during the update, and thus achieves better space efficiency. Third, it reduces the time delay for new policies to come into force. We evaluate our mechanism on a self-constructed SDN testbed and the results demonstrate high efficiency.
A Battery-Aware Energy-Efficient Android Phone with Bayesian Networks

Recently, as the number of smart phone users increases rapidly, various applications using GPS become widespread. Because GPS sensor has drawback that consumes too much energy, we have to decrease the unnecessary usage of GPS receiver at indoors to reduce the energy consumption. Most of previous works focused on how to reduce the frequency or the period to use GPS. In this paper, we propose a method to save battery using Bayesian network inference with built-in sensors in a smart phone to get location information efficiently. In order to show the usefulness of the proposed method, we have developed an application in Android platform and performed experiments to evaluate Bayesian networks. Experimental results on real datasets has shown that it is possible to predict user's location at either indoor or outdoor. On weekday, accuracy is 77% which is higher than on weekend, 68%. Analysis implies that user lifestyle and life pattern in weekday have less changes than that in weekend. In terms of battery efficiency, active person and inactive person save energy of about 5% and 3% per hour, respectively.
The effects of fruit juices on drug disposition: a new model for drug interactions

Grapefruit juice produces mechanism‐based inhibition of intestinal drug metabolism when consumed in normal quantities. This can produce clinically important increases in oral drug bioavailability when coadministered with substrates of cytochrome P450 3A4 (CYP3A4) that undergo high presystemic metabolism. Furanocoumarins such as bergamottin and 6′,7′‐dihydroxybergamottin have been identified as probable active constituents. Grapefruit juice may also inhibit intestinal P‐glycoprotein‐mediated efflux transport of drugs such as cyclosporine to increase its oral bioavailability. However, grapefruit juice does not enhance the absorption of digoxin, a prototypical P‐glycoprotein substrate, likely because it has high inherent oral bioavailability. Grapefruit and other fruit juices have recently been shown to be potent in vitro inhibitors of a number of organic anion‐transporting polypeptides (OATPs). These juices were also found to decrease the absorption of the nonmetabolized OATP substrate, fexofenadine. Taken together, the data support inhibition of intestinal uptake transporters by fruit juices to decrease drug bioavailability. This would represent a new mechanism for food–drug interactions. These findings with grapefruit and other fruit juices continue to enhance our understanding of the complex nature of food–drug interactions, and their possible influence on the clinical effects of medications.
Information on How to Cite Items within Roar@uel: Robust Outcome Prediction for Intensive-care Patients Robust Outcome Prediction for Intensive-care Patients

This paper is made available online in accordance with publisher policies. Please scroll down to view the document itself. Please refer to the repository record for this item and our policy information available from the repository home page for further information. To see the final version of this paper please visit the publisher's website. Access to the published version may require a subscription. for intensive care patients". Abstract Missing data are a major plague of medical databases in general, and of Intensive Care Units databases in particular. The time pressure of work in an Intensive Care Unit pushes the physicians to omit randomly or selectively record data. These different omission strategies give rise to different patterns of missing data and the recommended approach of completing the database using median imputation and fitting a logistic regression model can lead to significant biases. This paper applies a new classification method, called robust Bayes classifier, that does not rely on any particular assumption about the pattern of missing data and compares it to the traditional median imputation approach using a database of 324 Intensive Care Unit patients.
Sequential microenzymatic assay of cholesterol , triglycerides , and phospholipids in a single aliquot

The assay of multiple analytes in a single aliquot can be advantageous from both measurement and economic standpoints. The objective of this study was to develop a simple and sensitive microenzymatic method for the determination of three biologically important lipids. Triglycerides (as glycerol), phospholipids (as choline), and total cholesterol (as unesterified cholesterol) were assayed, in that order, by sequential addition of sample, reagents, and microbial enzymes directly into a single microtiter plate well, accompamed by continuous monitoring of a common reporter reaction in which hydrogen peroxide is quantified either by colorimetry with 4-aminoantipyrine and 3-hydroxy-2,4,6triiodobenzoic acid or by ultraviolet fluorometry with phydroxyphenylacetic acid. The detection limit of the method is in the subnanomole mass range for all three lipids. Results obtained with either fluorescence or colored endpoints were in excellent agreement with alternative individual chemical and enzymatic procedures.
Impaired increases in skin sympathetic nerve activity contribute to age‐related decrements in reflex cutaneous vasoconstriction

The reduction in skin blood flow during whole‐body cooling is impaired in healthy older adults. However, the relative contributions of altered skin sympathetic nerve activity (SSNA), transduction of this efferent neural outflow to the cutaneous vasculature, and peripheral vascular responsiveness to adrenergic stimuli to the impaired reflex vasoconstrictor response to whole‐body cooling in human ageing remain unclear. We report that the SSNA response to whole‐body cooling is blunted in healthy older adults, and this attenuated sympathetic response is related to a marked impairment in reflex cutaneous vasoconstriction. Further, the reflex SSNA response to a non‐thermoregulatory stimulus was preserved in older adults during cooling. We additionally show that cutaneous vascular responsiveness to adrenergic stimuli is not reduced in older adults. These results further our understanding of the physiological mechanisms underlying impaired thermal‐cardiovascular integration in healthy ageing.
Benchmarking Noun Compound Interpretation

In this paper we provide benchmark results for two classes of methods used in interpreting noun compounds (NCs): semantic similarity-based methods and their hybrids. We evaluate the methods using 7-way and binary class data from the nominal pair interpretation task of SEMEVAL-2007.1 We summarize and analyse our results, with the intention of providing a framework for benchmarking future research in this area.
No Talking, Just Writing! Efficacy of an Internet-Based Cognitive Behavioral Therapy with Exposure and Response Prevention in Obsessive Compulsive Disorder

Background: Many patients with obsessive-compulsive disorder (OCD) do not receive first-line treatment according to the current guidelines (cognitive behavioral therapy with exposure and response prevention, CBT with ERP) due to barriers to treatment. Internet-based therapy is designed to overcome these barriers. The present study evaluates the efficacy of an Internet-based writing therapy with therapeutic interaction based on the concept of CBT with ERP for patients with OCD. Methods: Thirty-four volunteers with OCD according to DSM-IV-criteria were included in the trial and randomized according to a waiting-list control design with follow-up measures at 8 weeks and 6 months. The intervention consisted of 14 sessions, either starting directly after randomization or with an 8-week delay. Main outcome measure was the change in the severity of OCD symptoms (Yale-Brown Obsessive Compulsive Scale Self-Rating, Y-BOCS SR, and Obsessive-Compulsive Inventory-Revised, OCI-R). Results: Obsessive-compulsive symptoms were significantly improved in the treatment group compared to the waiting-list control group with large effect sizes of Cohen's d = 0.82 (Y-BOCS SR) and d = 0.87 (OCI-R), using an intention-to-treat analysis. This effect remained stable at 6-month follow-up. Only 4 participants (12%) dropped out prematurely from the study. Of the 30 completers, 90% rated their condition as improved and would recommend the program to their friends. Conclusions: Internet-based writing therapy led to a significant improvement of obsessive-compulsive symptoms. Even though replications with larger sample sizes are needed, the results support the notion that Internet-based approaches have the potential for improving the treatment situation for patients with OCD.
A two-tiered physiologically based model for dually labeled single-chain Fv-Fc antibody fragments

Monoclonal antibodies (mAb) are being used at an increasing rate in the treatment of cancer, with current efforts focused on developing engineered antibodies that exhibit optimal biodistribution profiles for imaging and/or radioimmunotherapy. We recently developed the single-chain Fv-Fc (scFv-Fc) mAb, which consists of a single-chain antibody Fv fragment (light-chain and heavy-chain variable domains) coupled to the IgG1 Fc region. Point mutations that attenuate binding affinity to FcRn were introduced into the Fc region of the wild-type scFv-Fc mAb, resulting in several new antibodies, each with a different half-life. Here, we describe the construction of a two-tiered physiologically based pharmacokinetic model capable of simulating the apparent biodistribution of both 111In- and 125I-labeled scFv-Fc mAbs, where 111In-labeled metabolites from degraded 111In-labeled mAbs tend to become trapped within the lysosomal compartment, whereas free 125I from degraded 125I-labeled mAbs is quickly eliminated via the urinary pathway. The different concentration-time profiles of 111In- and 125I-labeled mAbs permits estimation of the degradation capacity of each organ and elucidates the dependence of cumulative degradation in liver, muscle, and skin on FcRn affinity and tumor mass. Liver is estimated to account for ∼50% of all degraded mAb when tumor is small (∼0.1 g) and drops to about 35% when tumor mass is larger (∼0.3 g). mAb degradation in residual carcass (primarily skin and muscle) decreases from ∼45% to 16% as FcRn affinity of the three mAb variants under consideration increases. In addition, elimination of a small amount of mAb in the kidneys is shown to be required for a successful fit of model to data. [Mol Cancer Ther 2006;5(6):1550–8]