Miracle-dz/UniFAR-FTUs huggingface dataset:
Training in sexology for medical and paramedical professionals: a model for the rehabilitation setting

Abstract Rehabilitation sexology addresses the sexual difficulties of physically disabled people. Sexual dysfunction is prevalent among the patient population of rehabilitation clinics, which work with physical problems such as spinal cord injury, stroke and multiple sclerosis. However, the majority of rehabilitation professionals find sexuality and the sexual issues of their patients difficult to address. Two different surveys showed that 73% of patients, 59% of their partners and 67% of rehabilitation professionals considered sexuality an important topic to discuss. By contrast, only 12% of the professional staff considered themselves sufficiently trained to broach sexual problems with their patients. Motivated by these findings, we developed two different trainings for rehabilitation professionals. The first was discipline-specific, grouping individuals of the same discipline together, and the second was designed for the multidisciplinary rehabilitation team. The results of the training showed an incre.
The matter of death : space, place and materiality

This stimulating and thought-provoking book is focused on the various spaces, places and material culture with which people come into contact when dealing with death. It covers the disciplinary perspectives of anthropology, history, sociology and theology and its scope , ranges across the spaces in hospitals where death occurs, to the spaces in which bodies are viewed after death; considers the political nature of memorialising activities, and the therapeutic value of visiting places of death, for example after suicide. The chapters provide rich and current data from a large number of recent UK-based and international projects that examine various forms of death, dying and bereavement, providing insight into the different ways in which dying and bereaved people interact with the environment around them, and ‘the matter’ of death
Urinary Prognostic Biomarkers and Classification of IgA Nephropathy by High Resolution Mass Spectrometry Coupled with Liquid Chromatography

IgA nephropathy is the most common cause of primary glomerulonephritis. There are different pathologic biopsy-based scoring systems in use, but there is no consensus among nephrologists yet regarding the best classification method. Our aim was to test urine proteomics as a non-invasive method for classification of IgA nephropathy. This aim was pursued by discovering novel prognostic protein biomarkers in urine, and linking them to pathogenesis of the disease through known signaling and metabolic pathways. 13 urine samples of the patients with biopsy-proven IgA nephropathy were analyzed via two proteomics approaches: nanoflow LC-MS/MS and GeLC-MS/MS. The results of label-free quantification were subjected to multivariate statistical analysis, which could classify patients into two groups, broadly corresponding to the primary and advance stages. The proteome classification correlated well with biopsy-based scoring systems, especially endocapillary hypercellularity score of the Oxford’s classification. Differentially excreted candidate proteins were found as potential prognostic biomarkers: afamin, leucine-rich alpha-2-glycoprotein, ceruloplasmin, alpha-1-microgolbulin, hemopexin, apolipoprotein A-I, complement C3, vitamin D-binding protein, beta-2-microglobulin, and retinol-binding protein 4. Pathway analysis suggested impairment of Extra Cellular Matrix (ECM)-Receptor Interaction pathways as well as activation of complement and coagulation pathway in progression of IgA nephropathy.
Human PSF concentrates DNA and stimulates duplex capture in DMC1-mediated homologous pairing

PSF is considered to have multiple functions in RNA processing, transcription and DNA repair by mitotic recombination. In the present study, we found that PSF is produced in spermatogonia, spermatocytes and spermatids, suggesting that PSF may also function in meiotic recombination. We tested the effect of PSF on homologous pairing by the meiosis-specific recombinase DMC1, and found that human PSF robustly stimulated it. PSF synergistically enhanced the formation of a synaptic complex containing DMC1, ssDNA and dsDNA during homologous pairing. The PSF-mediated DMC1 stimulation may be promoted by its DNA aggregation activity, which increases the local concentrations of ssDNA and dsDNA for homologous pairing by DMC1. These results suggested that PSF may function as an activator for the meiosis-specific recombinase DMC1 in higher eukaryotes.
Effective Capacitance and Drive Current for Tunnel FET (TFET) CV/I Estimation

Through mixed-mode device and circuit simulation, this paper provides an estimate of the effective output capacitance (<i>C</i> <sub>EFF</sub>) and drive current (<i>I</i> <sub>EFF</sub>) for delay (tau<sub>f</sub> = 0.69 <i>R</i> <sub>sw</sub> <i>C</i> <sub>EFF</sub>, where <i>R</i> <sub>sw</sub> = <i>V</i> <sub>DD</sub>/2 <i>I</i> <sub>EFF</sub>) estimation of unloaded tunnel field-effect transistor (TFET) inverters. It is shown that unlike MOSFET inverters, where <i>C</i> <sub>EFF</sub> is approximately equal to the gate capacitance (<i>C</i> <sub>gg</sub>) , in TFET inverters, the output capacitance can be as high as 2.6 times the gate capacitance. A three-point model is proposed to extract the effective drive current from the real-time switching current trajectory in a TFET inverter.
The religiosity-psychoticism relationship and the two factors of social desirability: A response to Michael W. Eysenck (1999)

Eysenck [(1998) Personality and the psychology of religion, Mental Health, Religion and Culture, 1, 11-19 ] suggested that the relationship between religiosity and personality may be ‘contaminated’ by social desirability as assessed by the Lie Scale. However, Lewis [(1999) Is the relationship between religiosity and personality ‘contaminated’ by social desirability as assessed by the Lie Scale? Mental Health, Religion and Culture, 2, 105-114 ] found no empirical support for this claim. In response, Eysenck [(1999) A response to Christopher Alan Lewis, Mental Health, Religion and Culture, 2, 115-116 ] suggests that it may be important to consider separately the two factors of social desirability, that of ‘self-deception’ and ‘other-deception’, when examining the religiosity‐psychoticism relationship. To examine this suggestion, the Francis Scale of Attitude Toward Christianity was administered alongside the Eysenck Personality Questionnaire Revised— Abbreviated, which contains a measure of ‘other-deception’ and the Edwards Social Desirability Scale, which contains a measure of ‘self-deception’, among a sample of 156 Northern Irish students. As predicted, a significant association was found between higher scores on the Francis Scale and lower scores on the Psychoticism Scale. Moreover, this finding remained statistically significant even after the Lie Scale scores and the Edwards Preference Scale scores were statistically partialled out, either separately or in combination. The present findings support the view that the association between religiosity and the personality trait of psychoticism is not simply a function of either type of social desirability.
An Empirical Assessment of Cross-Cultural Age Self-Construal Measurement: Evidence from Three Countries

This study investigated which age measures, independent or interdependent, were better for cross-cultural consumer research. Specifically, it assessed the fit between the “actual” and “ideal” self-concept model within the framework of self-construal theory by examining the actual and ideal self-attributed age identity across South Korea (n = 480), China (n = 207), and France (n = 338) using both independent and interdependent age identity scales. Multivariate analyses revealed differences for individuated self-schemata across the three countries for actual and ideal age self-construal, as well as for actual other-referent interdependent age self-schemata. However, the reverse occurred too: The ideal interdependent ages showed a lack of difference across the three different cultures. Overall, the results indicate that interdependent decade scales are better than independent age scales for cross-cultural consumer behavior studies. Though such scales are more complex, they are easy to translate and to administer, and simple to analyze and to interpret. Evidence also suggests that such scales are reliable and robust across disparate samples in the countries studied
PRESUPPOSITION IN DISCOURSE

This paper is concerned with the concept of ‘presupposition’, specifically as it is applied in critical approaches to discourse analysis such as Critical Discourse Analysis or Societal Pragmatics, and proposes a systematisation of a socio-cognitive approach to the concept. Presupposition analysis is crucial for uncovering naturalised ideologies underlying discourse, and examining manipulative functions of discourse, especially strategies making it socially or cognitively harder to challenge ideological assumptions. However, the way presupposition is analysed in current critical discourse analysis is not methodologically consistent and not necessarily theoretically consistent with an understanding of discourse as socio-cognitively grounded social practice (the major overarching tenet of critical discourse analysis). I demonstrate this through a brief overview of the two main current approaches to presupposition in discourse analysis – the truth conditional and the socio-cognitive one. I propose examining presupposition on different levels of analysis, ranging from lexical-item triggered presuppositions to discourse presuppositions and mutually presupposed pragmatic competence.
Differential Go/NoGo Activity in Both Contingent Negative Variation and Spectral Power

We investigated whether both the contingent negative variation (CNV), an event-related potential index of preparatory brain activity, and event-related oscillatory EEG activity differentiated Go and NoGo trials in a delayed response task. CNV and spectral power (4–100 Hz) were calculated from EEG activity in the preparatory interval in 16 healthy adult participants. As previously reported, CNV amplitudes were higher in Go compared to NoGo trials. In addition, event-related spectral power of the Go condition was reduced in the theta to low gamma range compared to the NoGo condition, confirming that preparing to respond is associated with modulation of event-related spectral activity as well as the CNV. Altogether, the impact of the experimental manipulation on both slow event-related potentials and oscillatory EEG activity may reflect coordinated dynamic changes in the excitability of distributed neural networks involved in preparation.
An Authentication Technique in Frequency Domain through Wavelet Transform (ATFDWT)

In this paper a DWT based steganography in frequency domain, termed as ATFDWT has been proposed. Here, the cover image is transformed into the time domain signal through DWT, resulting four sub-image components as 'Low resolution', 'Horizontal orientation', 'Vertical orientation' and 'Diagonal orientation'. The secret message/image bits stream in varying positions are embedded in 'Vertical orientation sub-image' followed by reverse transformation to generate embedded/encrypted image. The decoding is done through the reverse procedure. The experimental results against statistical and visual attack has been computed and compared with the existing technique like IAFDDFTT[1], in terms of Mean Square Error (MSE), Peak Signal to Noise Ratio (PSNR), Standard Deviation(SD) and Image Fidelity(IF) analysis, which shows better performances in ATFDWT.
The risk of Ascaris lumbricoides infection in children as an environmental health indicator to guide preventive activities in Caparaó and Alto Caparaó, Brazil.

OBJECTIVE To develop an environmental health indicator for use as a basis for developing preventive measures against Ascaris lumbricoides infection in children from the rural municipalities of Caparaó and Alto Caparaó, in Minas Gerais, Brazil. METHODS A cross-sectional survey was conducted between May and September 1998 among 1171 children under 14 years of age living in 588 dwellings selected from 11 communities. Trained interviewers used a questionnaire to identify risk factors for infection (socioeconomic, sanitation and hygiene variables) and collected stool samples from each child for parasitological tests. RESULTS The overall prevalence of A. lumbricoides infection was 12.2%. The results showed the protective effects of availability of water in the washbasin and better hygiene, sanitation and socioeconomic status; the interactive effect of crowding was five times larger in households without water in the washbasin than in those having water. There was a statistically significant association between infection and children's age. CONCLUSION The environmental health indicator, which incorporated the most significant biological, environmental and social factors associated with the risk of A. lumbricoides infection in children from these communities, should contribute to the development of surveillance tools and health protection measures in this population.
Correction of a Depth-Dependent Lateral Distortion in 3D Super-Resolution Imaging

Three-dimensional (3D) localization-based super-resolution microscopy (SR) requires correction of aberrations to accurately represent 3D structure. Here we show how a depth-dependent lateral shift in the apparent position of a fluorescent point source, which we term `wobble`, results in warped 3D SR images and provide a software tool to correct this distortion. This system-specific, lateral shift is typically > 80 nm across an axial range of ~ 1 μm. A theoretical analysis based on phase retrieval data from our microscope suggests that the wobble is caused by non-rotationally symmetric phase and amplitude aberrations in the microscope’s pupil function. We then apply our correction to the bacterial cytoskeletal protein FtsZ in live bacteria and demonstrate that the corrected data more accurately represent the true shape of this vertically-oriented ring-like structure. We also include this correction method in a registration procedure for dual-color, 3D SR data and show that it improves target registration error (TRE) at the axial limits over an imaging depth of 1 μm, yielding TRE values of < 20 nm. This work highlights the importance of correcting aberrations in 3D SR to achieve high fidelity between the measurements and the sample.
Transient analysis of a resource-limited recovery policy for epidemics: A retrial queueing approach

Knowledge on the dynamics of standard epidemic models and their variants over complex networks has been well-established primarily in the stationary regime, with relatively little light shed on their transient behavior. In this paper, we analyze the transient characteristics of the classical susceptible-infected (SI) process with a recovery policy modeled as a state-dependent retrial queueing system in which arriving infected nodes, upon finding all the limited number of recovery units busy, join a virtual buffer and try persistently for service in order to regain susceptibility. In particular, we formulate the stochastic SI epidemic model with added retrial phenomenon as a finite continuous-time Markov chain (CTMC) and derive the Laplace transforms of the underlying transient state probability distributions and corresponding moments for a closed population of size N driven by homogeneous and heterogeneous contacts. Our numerical results reveal the strong influence of infection heterogeneity and retrial frequency on the transient behavior of the model for various performance measures.
A System for Rapid Interactive Training of Object Detectors

Machine learning approaches have become the de-facto standard for creating object detectors (such as face and pedestrian detectors) which are robust to lighting, viewpoint, and pose. Generating su ciently large labeled data sets to support accurate training is often the most challenging problem. To address this, the active learning paradigm suggests interactive user input, creating an initial classifier based on a few samples and refining that classifier by identifying errors and re-training. In this paper we seek to maximize the e ciency of the user input; minimizing the number of labels the user must provide and minimizing the accuracy with which the user must identify the object. We propose, implement, and test a system that allows an untrained user to create high-quality classifiers in minutes for many di↵erent types of objects in arbitrary scenes.
Bugs and chills ; the impact of temperature shifts on viral respiratory tract infections

Overdue weight seems to have been given to early volunteer experiments with viral respiratory tract infections (VRTIs) that may have used recycled viral strains that had accidentally lost their temperaturesensitive character. Perhaps for this reason, science has closed its eyes to detailed and clear-cut evidence that epidemics of VRTIs are closely correlated with ambient temperature, and that individuals are more likely to develop VRTIs after chilling. Moreover, the seasonality of colds and influenza is unexplained. In this review I note that diverse viral species cause very similar VRTIs, that the incubation periods of VRTIs may frequently be underestimated, and that colds and influenza frequently infect only a subset of the susceptible individuals who are exposed to them. Biochemical analysis may have been hindered by the use of laboratory respiratory viruses that were propagated in conditions that reduce temperature sensitivity. Nevertheless, many biochemical studies show decreased viral activity at elevated temperatures. I propose here the hypothesis that viruses may locate the upper respiratory tract by its lower temperature, that temperature changes are often used by viruses to synchronize their development at one or more steps in their life cycles, that temperature changes can allow temporary increases in the level of virulence of viruses, and that temperature changes provide a mechanism whereby a subset of susceptible individuals can become infected.
Report and 7-Year Fol low-Up

they are relatively uncommon in head and neck. The term epignathus has been applied to teratomas from the oropharynx. This paper reports the case of a giant epignathus teratoma discovered at birth, which was successfully managed and followed up for 7 years. A newborn boy presented a polypoid tumor mass exteriorizing through the mouth over a length of 9 cm, with some surface areas resembling skin and others exhibiting hair. Computed tomography showed that the mass arose deep from the left hemiface. Alpha-fetoprotein (AFP) levels were high (316,000 ng/mL). Surgery was performed and microscopic analysis confirmed the diagnosis of mature teratoma. Because of residual tumor and high AFP levels, the patient was submitted to chemotherapy, resulting in complete regression of the lesion and normalization of AFP levels. Surgical repair of a cleft palate was performed at 5 years of age. At 7 years of age, the patient was in good general health and showed no clinical signs of recurrence. Although epignathus is a rare condition, it should be diagnosed in the fetus as early as possible. Prenatal care provides unquestionable benefits, providing the early diagnosis of anomalies that can jeopardize the life of the fetus and contributing to the indication of cases that require treatment before birth. G i an t E p i gn a t hu s Te r a t oma D i s cove r ed a t B i r th : A Ca se Report and 7-Year Fol low-Up
Integration of Speech to Computer-Assisted Translation Using Finite-State Automata

State-of-the-art computer-assisted translation engines are based on a statistical prediction engine, which interactively provides completions to what a human translator types. The integration of human speech into a computer-assisted system is also a challenging area and is the aim of this paper. So far, only a few methods for integrating statistical machine translation (MT) models with automatic speech recognition (ASR) models have been studied. They were mainly based on N-best rescoring approach. N-best rescoring is not an appropriate search method for building a real-time prediction engine. In this paper, we study the incorporation of MT models and ASR models using finite-state automata. We also propose some transducers based on MT models for rescoring the ASR word graphs.
Metaphor in conversation

whereas characteristic literate discourse is informational, explicit and elaborate, and contains abstract information. Characteristic linguistic features of oral discourse are, for example, first and second person pronouns, stance verbs, hedges, emphatics and time and place adverbials. Oral discourse shows a relative absence of nouns, adjectives, prepositional phrases and wh-relative clauses. In effect, written and spoken text types take different positions along the oral/literate dimensions. This position is influenced by their mode of expressions, but also by their communicative purposes. Moreover, Biber concluded that written modes can relatively easily resemble oral discourse, but that spoken modes, although they may become more literate, never reach the level of the least literate written register. As Biber puts it “there seems to be a cognitive ceiling on the frequency of certain syntactic constructions in speech, so that there is a difference in the potential forms of the two modes” (1988: 163). Biber ascribes this to the difference in processing constraints of on-line versus off-line production; it is always more challenging to formulate lexically and syntactically complex text in on-line contexts, whereas in off-line contexts an author can choose either simple or complex phrasing and can even deliberately mimic an oral style for specific purposes. Biber thus developed a computerized method to statistically compare the linguistic behaviour of registers and identified six new dimensions that more extensively capture the range of register variation across many different English texts than a simple spoken/written-mode distinction. His comparative and contrastive approach enables the identification of statistically salient characteristics based on many text types as well as linguistic elements and thereby offers the possibility of a subtler register description. An example is the Longman Grammar of Spoken and Written English (Biber et al. 1999), which provides a description of the lexico-grammatical behaviour of four main text types, conversation, fiction, news and academic texts. These text types form the starting point for the Metaphor in Discourse project, enabling a comparison between Biber’s findings and the results of metaphor analysis. The possibilities of such a comparison will be explained in section 2.3. The following section reports on the status of metaphor research in the conversational realm.
Using UML to develop knowledge-based system for adaptive scheduling

It is one of the most important issues that constructing better Knowledge-Based System (KBS) to fulfill an efficient adaptive scheduling to complex manufacturing system. A method for developing and documenting the KBS for adaptive scheduling, using the Unified Modeling Language (UML) is presented. It employed UML to describe the system analysis, system design and system implementation of KBS, so various views were built up to explore the static structure and dynamic behavior of KBS. This method alleviates the highly dependent on domain knowledge experts. The quality and efficiency of the KBS are improved. Finally a case is given to validate the feasibility and reliability of the proposed approach.