Miracle-dz/UniFAR-FTUs huggingface dataset:
Assignment of NUFIP1 (Nuclear FMRP Interacting Protein 1) gene to chromosome 13q14 and assignment of a pseudogene to chromosome 6q12

The fragile X mental retardation syndrome results from transcriptional silencing of the X-linked FMR1 gene (Imbert et al., 1998 for review). Two autosomal homologues of the FMR1 gene, FXR1 and FXR2 have been identified (Imbert et al., 1998). The two proteins FXR1P and FXR2P interact with fragile X mental retardation protein (FMRP) (Imbert et al., 1998). Recently, a novel protein interacting with FMRP has been cloned (Bardoni et al., 1999). This protein named NUFIP1 (Nuclear FMRP Interacting Protein1) is a nuclear RNA binding protein, expressed in the neurons of hippocampus, cortex and in Purkinje cells, like FMRP. NUFIP1 does not interact with FXR1P and FXR2P, suggesting a possible role in the definition of fragile X phenotype. In this report we describe the mapping of the human NUFIP1 gene to chromosome 13q14 and a NUFIP1 pseudogene to chromosome 6q12. Materials and methods
The Presentation of Selfie in Everyday Life: Considering the Relationship Between Social Media Design and User in the Online Actions and Interactions of Young People

Against a backdrop of young people increasingly using an array of social media platforms for a range of social activities [20], accessed through a variety of devices [27], this paper reports upon the findings of a research project considering the effect of these platforms upon the actions and interactions of young people. Reporting on findings from a series of interviews conducted over the course of a year with nine participants, the research discusses the participants' thoughts and impressions of the platforms, their uses of specific features, their social actions and interactions, and the effects of changes in their offline lives and their specific socio- cultural situations upon their online interactions. The findings reveal a range of social media engagements by young people across a wide array of platforms, with the participants' specific concerns and needs shaping how they engaged with social media. It was also found that the platforms played a role in shaping the actions and interactions of the young people, limiting what was possible for them and informing how they approached social interaction on each platform. As such, it was noted that online social interactions are increasingly nuanced and multi-faceted, and therefore an approach towards analyzing interactions online needs to account for the interplay between design and user from which unique and ongoing interactions emerge.
Toward an Energy and Resource Efficient Internet of Things: A Design Principle Combining Computation, Communications, and Protocols

Advances in future computing and communications to support IoT are becoming more important as the need to better utilize resources and make them energy-efficient grows. As a result, it is predicted that intelligent devices and networks, including WSNs, will become the new interfaces to support future IoT applications. However, many open challenges remain, which are mostly due to the resource constraints imposed by various hardware platforms and complex characteristics of applications wishing to make use of IoT systems. Thus, it becomes critically important to study how the current approaches incorporating both computing and communications in this area can be improved, and at the same time better understand the opportunities for the research community to utilize the proposed approaches. To this end, this article presents an overview of our latest research results in sensor edge computing and lightweight communication protocols as well as their potential applications.
Performance of an immunoassay at detecting recent infection among reported HIV diagnoses

Introduction:An enzyme immunoassay to detect recent HIV-1 infection (EIA-RI) of less than 6 months is routinely performed on diagnoses reported to the National HIV case surveillance in France. We assessed the performance of the EIA-RI infection on this country population scale by measuring its agreement with other indicators of time since infection that were obtained through clinical, biological or testing history recorded on the surveillance reporting form. Methods:We used data from the National HIV case surveillance from its debut in March 2003 to June 2007. Infection within 6 months was defined as a negative test reported within 6 months prior to diagnosis. We further ascertained this definition by adding information about of a symptomatic primary infection or biological evidence of recent seroconversion. Infection established for more than 6 months was defined when a positive test had occurred more than 6 months prior to the reported diagnosis. Results:Time since infection could be ascertained in 6782 of 15 331 (44.2%) HIV diagnoses. Assay sensitivity and specificity were 73.8 and 83.7%, respectively. Among the 1940 cases originating from Sub-Saharan Africa, sensitivity and specificity were 54.1 and 90.8%, respectively. Discussion:Assessment of the performance of the EIA-RI on a large and heterogeneous population revealed two major findings—significant discrepancies in timing from infection near the 180-day cutoff, and a performance that depends on the geographic origin of patients. This has implications for estimating the assay window period and in the perspective of incidence estimation from HIV case surveillance.
Urinary α- and π-glutathione s-transferases for early detection of acute kidney injury following cardiopulmonary bypass

Abstract Context: Urinary α-GST and π-GST are renal tubular leakage markers. Objective: To evaluate the performance characteristics of these markers for the early detection of acute kidney injury (AKI). Materials and methods: Multicenter prospective cohort study of 252 adults undergoing cardiopulmonary bypass (CPB). Results: AKI developed in 72 patients. The 2 h post-CPB π-GST level modestly predicted the development of AKI, including higher stages of severity, whereas α-GST did not. Discussion: Small number of events and absence of subsequent post-operative biomarker measurements. Conclusions: Among adults undergoing CPB, urinary π-GST outperformed α-GST for predicting AKI, but neither marker displayed good discrimination.
Pathology and classification of aggressive mature B‐cell lymphomas

The aggressive mature B‐cell lymphomas are a heterogeneous group of tumors with different biological and pathological characteristics that are associated with a broad spectrum of clinical manifestations. Some of the subtypes are relatively common whereas others are less frequent and occur in particular subsets of patients. The response to therapy and the outcome are also diverse among entities. Although current therapies may cure large proportion of patients, still around 30% of them develop an incurable disease. The recent genetic and molecular studies are increasing the understanding of the mechanisms underlying the clinical and biological diversity of these tumors and are providing valuable information for new therapeutic opportunities. The recent update of the World Health Organization (WHO) classification of lymphoid neoplasms includes different entities of aggressive mature B‐cell lymphomas with well‐defined diagnostic criteria (Table 1). The most common subtype accounting for approximately 80% of all these neoplasms is diffuse large B‐cell lymphoma, not otherwise specified (DLBCL, NOS), a category that includes tumors, which cannot be classified in any of the other more specific entities. The other diseases are less common but have distinctive features. T‐cell/ histiocyte–rich large B‐cell lymphoma (THRLBCL) is a subtype in which the tumor cells are overrun by an exuberant stromal response. Some large B‐cell lymphomas (LBCLs) are originated in particular topographic sites suggesting their relationship to specific cell subsets of these sites or the influence of the microenvironment in their pathogenesis. A group of LBCL are associated with Epstein‐Barr virus (EBV) infection and occur in patients that may have a certain immunological impairment in controlling the viral infection. Most LBCL have a mature B‐cell phenotype, but some tumors acquire a terminal B‐cell differentiation phenotype loosing mature B‐cell markers and expressing proteins related to plasma cell differentiation. Some of these tumors are associated with HHV8 and/or EBV infection. Burkitt lymphoma (BL) is a well‐ defined aggressive neoplasm that can be cured in most patients but
Non-Parametric Super-Resolution Using a Bi-Sensor Camera

Multiframe super-resolution is the problem of reconstructing a single high-resolution (HR) image from several low-resolution (LR) versions of it. We assume that the original HR image undergoes different linear transforms, where each transform can be approximated as a set of linear shift-invariant transforms over different subregions of the HR image. The linearly transformed versions of the HR image are then downsampled, resulting in different LR images. Under the assumption of linearity, these LR images can form a basis that spans the set of the polyphase components (PPCs) of the HR image. We propose sampling rate diversity, where a secondary LR image, acquired by a secondary sensor of different (lower) sampling rate, is used as a reference to make known portions (subpolyphase components) of the PPCs of the reconstructed HR image. This setup allows for non-parametric reconstruction of the PPCs, where no knowledge of the underlying transforms is required, by solving for the expansion coefficients of the PPCs, in terms of the LR basis.
3D Curve-Skeleton Extraction Algorithm Using a Pseudo-Normal Vector Field

A curve skeleton is a line representation of a 3D object. It is useful in many applications, such as animation, shape matching or scientiﬁc analysis. The method described in this paper extracts a curve skeleton from the vector ﬁeld which is created inside the 3D object. The topology of the vector ﬁeld is analyzed to obtain the curve skeleton. In contrast with previous methods, the vector ﬁeld is calculated using a pseudo-normal vector. Furthermore, by using the proposed skeleton-growing method, the vector ﬁeld topology need not be computed for every voxel. Therefore, the proposed approach requires signiﬁcantly less computation compared with previous vector ﬁeld-based approaches, while still capturing all important parts of 3D object. The proposed method is very useful for any applications, especially real-time applications such as quick animation production and prototyping of graphical systems.
A Mechanically Beam-Steered Phased Array Antenna for Power-Harvesting Applications [Antenna Applications Corner]

Beam-steered antennas are highly desirable for radio-frequency (RF)- power-harvesting applications. By changing the direction of its main beam, maximum power can be harvested without physically rotating the antenna. This is specifically favorable to power-harvesting applications where the harvesting unit needs to be placed on a planar surface, cannot be rotated, and the available volume is constrained. We present a 2 X 2 beam-steered phased array antenna for RF-power-harvesting applications. The designed antenna array achieves a continuous beam-steering angle of ? 3? in the E-plane. Beam steering is realized by mechanically shifting the position of the feeding point. The antenna does not utilize any active elements; thereby, the maximum amount of power can be delivered into the harvesting circuitry. A small and wideband patch antenna element has also been designed and incorporated in the array, which reduces its overall size and enables wide scanning angle impedance matching. At the operating frequency of 2.4 GHz, the size of the array is 0.96 X 0.96 X 0.056 ? The measured peak gain is 11.3 dBi, and bandwidth is 12.9%.
Text coherence new method using word2vec sentence vectors and most likely n-grams

Discourse coherence modeling evaluation remains a challenge task in all Natural Language Processing subfields. Most proposed approaches focus on feature engineering, which accepts the sophisticated features to capture the logic, syntactic or semantic relationships between all sentences within a text. This paper investigates the automatic evaluation of text coherence. We introduce a fully-automatic rich statistical model of local and global coherence that uses word2vec approach to assess the coherence a document. Our modeling approach relies on numerical vectors derived from word2vec algorithm applied on a very large collection of texts. We successfully combined the word2vec vectors and most likely n-grams with cohesive LD-n-grams perplexity to assess the coherence and topic integrity of document. We present experimental results that assess the predictive power that it does not depend on the language and its semantic concepts. So it has the ability to apply on any language. Our model achieves state-of-the-art performance in coherence evaluation and order discrimination task on two datasets widely used in the previous methods.
Finite Element Analysis to Compare Complete Denture and Implant-Retained Overdentures With Different Attachment Systems

This finite element analysis compared stress distribution on complete dentures and implant-retained overdentures with different attachment systems. Four models of edentulous mandible were constructed: group A (control), complete denture; group B, overdenture retained by 2 splinted implants with bar-clip system; group C, overdenture retained by 2 unsplinted implants with o'ring system; and group D, overdenture retained by 2 splinted implants with bar-clip and 2 distally placed o'ring system. Evaluation was performed on Ansys software, with 100-N vertical load applied on central incisive teeth. The lowest maximum general stress value (in megapascal) was observed in group A (64.305) followed by groups C (119.006), D (258.650), and B (349.873). The same trend occurred in supporting tissues with the highest stress value for cortical bone. Unsplinted implants associated with the o'ring attachment system showed the lowest maximum stress values among all overdenture groups. Furthermore, o'ring system also improved stress distribution when associated with bar-clip system.
Perceptual Effects of Noise Reduction With Respect to Personal Preference, Speech Intelligibility, and Listening Effort

Objectives: Most modern hearing aids use noise reduction to increase listening comfort in noisy environments. However, it is unclear whether perceptual effects (e.g., intelligibility, listening effort, and preference) of noise reduction differ among hearing aids and among listeners. The authors compared perceptual scores across different hearing aid noise-reduction systems to determine (1) whether noise-reduction systems differ perceptually and (2) which factors underlie the overall preference of individual listeners. Design: The authors recorded hearing aid noise-reduction outputs and used these signals in a laboratory experiment. The recording method allowed the evaluation of noise reduction in an isolated form, without the dominant effects of hearing aid frequency response and interactions with dynamic-range compression. Ten normal-hearing subjects listened to speech in babble noise processed by noise reduction from four different hearing aids. The subjects performed (1) speech-intelligibility tests, (2) listening-effort ratings, and (3) paired-comparison ratings with respect to noise annoyance, speech naturalness, and overall preference. Results: Noise-reduction systems from different hearing aids differed in the degree to which they influenced the noise annoyance and speech naturalness perceived by the normal-hearing listeners. Small differences in intelligibility and effort scores were found among different noise-reduction systems but not between having noise reduction on and off. Subjects differed in whether their overall preference was more strongly related to noise annoyance or to speech naturalness. Conclusions: The authors conclude that noise annoyance and speech naturalness are determining factors for the overall preference of normal-hearing listeners for a specific noise-reduction condition, and found individual differences in the preferred weighting of these factors even in a homogeneous group of normal-hearing listeners. Subsequent experiments should include hearing-impaired subjects to determine whether these conclusions also hold for a more heterogeneous group of listeners. If these results can be extrapolated to hearing-impaired listeners, the fitting and fine-tuning of noise reduction in hearing aids needs considerable revision.
LELIO: An Auto-Adaptative System to Acquire Domain Lexical Knowledge in Technical Texts

In this paper, we investigate some language acquisition facets of an auto-adaptative system that can automatically acquire most of the relevant lexical knowledge and authoring practices for an application in a given domain. This is the LELIO project: producing customized LELIE solutions. Our goal, within the framework of LELIE (a system that tags language uses that do not follow the Constrained Natural Language principles), is to automate the long, costly and error prone lexical customization of LELIE to a given application domain. Technical texts being relatively restricted in terms of syntax and lexicon, results obtained show that this approach is feasible and relatively reliable. By auto-adaptative, we mean that the system learns from a sample of the application corpus the various lexical terms and uses crucial for LELIE to work properly (e.g. verb uses, fuzzy terms, business terms, stylistic patterns). A technical writer validation method is developed at each step of the acquisition.
A COMPARISON OF HIV RISK BEHAVIORS BETWEEN NEW AND LONG-TERM INJECTION DRUG USERS

The purpose of this study was to characterize the injection and sexual risk behaviors of a cohort of active drug injectors who have initiated injection within the past 4 years and to compare their behaviors with the risk behaviors of long-term injectors who have been injecting drugs since 1984. A stratified, network-based sample was used to recruit injection drug users from the streets in Miami-Dade, Florida. After screening for eligibility, which included a urine test to confirm current drug use, participants were administered a structured questionnaire that included basic demographic information, drug-use history, and HIV risk behavior practices. Both injector groups displayed a high level of HIV injection risk behavior. Although new initiates into injection demonstrated lower risk behavior than long-term injectors at the first injection episode, the current risk behavior between new and long-term injectors is similar. [Translations are provided in the International Abstracts Section of this issue. ]
S-layers in lactobacilli: structural characteristics and putative role in surface and probiotic properties of whole bacteria

From both approaches, it turns out that S%layer functions in lactobacilli are not only species but also strain specific, and this fact makes difficult the prediction of a given property in S%layer carrying lactobacilli. This correlation can be established if a structural analysis of the S%layers is performed. In this regard, different researchers have studied the nucleotidic sequence of several lactobacilli S%layer protein genes, the primary and secondary structure of proteins (based on predictions from primary structure or from spectroscopic analysis) and posttranslational modifications such as glycosylation. In addition, different structural characteristics of the S%layer proteins have been correlated with the surface and/or probiotic properties of whole microorganisms [8,9]. In this mini%review, an overview of the S%layer proteins from lactobacilli is carried out. The different techniques used for their structural and functional characterization are discussed.
Finding longest frequent trajectory of dynamic objects using association approaches

Data mining is mainly concerned with analyzing large volumes of unstructured data and automatically discovering interesting relationships among them. This information leads to better knowledge and power. Finding Frequent Trajectory patterns are the recently emerging area in data mining. Using the principles of data mining frequent trajectory patterns are derived and knowledge can be obtained out of it. Maximum length of the frequent path will give information about traveling time taken to cross the stretch, alternate path taken to avoid congestion etc. Finding the longest trajectory from the frequent trajectory pattern is a more challenging task and is done efficiently in this paper. Currently existing methods use spatial and spatial-temporal data and follows histogram method to find the frequency of occurrence and clustering method to group the data to find frequent patterns. All these cases spatial or spatiotemporal data may not have any standard approach to find the longest frequent path. This issue is addressed specifically by applying the association based mining concepts in spatiotemporal data. The path derived by applying the modified Apriori and frequent pattern tree methods are compared with a standard graph based method currently available and their performance is analyzed. This approach may be applied to interesting game domains to find the longest frequent trajectory of balls.
A single human keratin 18 gene is expressed in diverse epithelial cells of transgenic mice

The expression of keratin 18 (K18) is restricted in humans primarily to a variety of single layered or simple epithelia. However, direct introduction of a cloned K18 gene into cultured, somatic cells by DNA transfection has been shown to result in the promiscuous expression of K18 even while the endogenous mouse form of K18 (Endo B) remains silent. To determine if the cloned K18 genomic DNA fragment contains sufficient information to be regulated appropriately when subjected to a normal developmental environment, and to determine if the cloned gene is expressed in diverse epithelia, the K18 gene, including 2.5 kb of 5' flanking sequence and 3.5 kb of 3' flanking sequence, has been introduced into the germ line of mice. Mice from all three resulting K18 transgenic lines express the gene in an appropriate tissue-specific pattern that includes hepatocytes, simple epithelia of the intestinal tract, ductal cells of several glands and epithelial cells of the thymus. No expression of K18 was found in muscle, heart, or in most of the brain even in mice carrying 18 copies of the K18 gene. In most tissues, the level of K18 RNA was directly proportional to copy number and was as efficiently expressed as the endogenous Endo B gene. The K18 protein was identified by both protein blotting methods and indirect immunofluorescence staining. No pathological consequences of overexpression of the K18 gene were observed. The cloned K18 gene appears to contain all cis-acting DNA sequences necessary for appropriate expression. In addition, diverse epithelial cell types are able to express this single human gene.
Antigens of Mycobacterium tuberculosis Recognized by Antibodies during Incipient, Subclinical Tuberculosis

ABSTRACT Serum samples obtained from human immunodeficiency virus (HIV)-infected tuberculosis (TB) patients months prior to clinical TB were used to delineate the profile of Mycobacterium tuberculosis culture filtrate proteins recognized during subclinical TB. A subset of ∼12 antigens was recognized by antibodies in these serum samples. Antibodies to two of these antigens (81 [88]-kDa malate synthase [GlcB] and MPT51) were present in serum samples obtained during incipient subclinical TB in 19 (∼90%) of the 21 HIV-infected TB patients tested. These antigens will be useful for devising diagnostic tests that can identify HIV-positive individuals who are at a high risk for developing clinical TB.