Miracle-dz/UniFAR-FTUs huggingface dataset:
Sudden sensorineural deafness and hormone replacement therapy

Abstract Whilst the oral contraceptive pill (OC) has been implicated on a number oif occasions as a cause of sensorineural hearing loss, there are no published reports linking hormone replacement therapy (HRT) to otological symptoms. A case of sensorineural loss with tinnitus following commencement of HRT is described, followed by a discussion outlining the fundamental differences between the OC and HRT, thus expaining why a vascular aetiology is unlikely. It is hypothesized that otological symptoms in such cases may be due to the effect of oestrogens on electrolyte balance disturbing inner ear function and also a direct effect on the auditory pathways mediated in part by alterations in neurotransmitter receptor concentrations.
Pre-training of Recurrent Neural Networks via Linear Autoencoders

We propose a pre-training technique for recurrent neural networks based on linear autoencoder networks for sequences, i.e. linear dynamical systems modelling the target sequences. We start by giving a closed form solution for the definition of the optimal weights of a linear autoencoder given a training set of sequences. This solution, however, is computationally very demanding, so we suggest a procedure to get an approximate solution for a given number of hidden units. The weights obtained for the linear autoencoder are then used as initial weights for the input-to-hidden connections of a recurrent neural network, which is then trained on the desired task. Using four well known datasets of sequences of polyphonic music, we show that the proposed pre-training approach is highly effective, since it allows to largely improve the state of the art results on all the considered datasets.
Potentiating and Depressive Effects of Ouabain and Potassium‐Free Solutions on Rat Mesenteric Resistance Vessels

We have investigated the in vitro effects of ouabain and K-free solutions on some pharmacological and electrophysiological properties of rat mesenteric resistance vessels (internal diameter ∼190 μm). Vessels were mounted as ring preparations on a myograph capable of measuring their isometric wall tension. In normal saline solutions, vessels did not exhibit any tone and had a membrane potential of —54 mV. Both 1 miu ouabain and K-free solutions caused a transient depolarization of 5–8 mV; thereafter the membrane slowly depolarized to about —45 mV after 30 minutes. There was no mechanical response to ouabain, but K-free solutions caused a transient development of tension which could be inhibited by phentolamine (1 μM). In norepinephrineactivated vessels, exposure to ouabain or K-free solutions caused a small depolarization and an increase in tension. Long-term (30-minute) exposure to 1 mM ouabain or K-free solutions reduced the amplitude of norepinephrine responses and, for the lower (but not the higher) norepinephrine concentrations, the membranes were about 15 mV more depolarized than control. The mechanical responses to a cocktail of norepinephrine in a high potassium solution were, however, unaffected. Re-exposure to normal saline solution produced a transient hyperpolarization and transiently eliminated the norepinephrine response, but thereafter the membrane potential and response returned to normal. The results indicate that ouabain and K-free solutions can have both short-term potentiating and long-term depressive effects on the mechanical response of rat mesenteric resistance vessels to norepinephrine.
PENERAPAN MODEL THE UNIFIED THEORY OF ACCEPTANCE AND USE OF TECHNOLOGY (UTAUT) UNTUK MEMAHAMI TINGKAT PENERIMAAN DAN PENGGUNAAN E-LEARNING (BE SMART) DI FAKULTAS TEKNIKUNIVERSITAS NEGERI YOGYAKARTA

PENERAPAN MODEL THE UNIFIED THEORY OF ACCEPTANCE AND USE OF TECHNOLOGY (UTAUT) UNTUK MEMAHAMI TINGKAT PENERIMAAN DAN PENGGUNAAN E-LEARNING (BE SMART) DI FAKULTAS TEKNIK UNIVERSITAS NEGERI YOGYAKARTA Oleh : Muhammad Bakhtiar Rivai NIM.09520244015 ABSTRAK Unified Theory of Acceptance and Use of Technology (UTAUT) adalah teori yang dikemukakan oleh Venkatesh, et al. (2003) gabungan dari 8 teori-teori penerimaan teknologi sebelumnya. UTAUT memiliki empat kostruk utama yang langsung berpengaruh terhadap penerimaan pemakai dan perilaku pemakai. Keempat konstruk ini adalah 1) ekspektansi kinerja (performance expectancy), 2) ekspektansi usaha (effort expectancy), 3) pengaruh sosial (social influence), dan 4) kondisi-kondisi pemfasilitasi (facilitating conditions). Model ini selanjutnya digunakan untuk meneliti Be Smart yang merupakan Learning Management System (LMS) berbasis web. Be Smart adalah e-learning milik Universitas Negeri Yogyakarta yang berasal dari Moodle versi 1.9. 15 yang sudah disesuaikan, memiliki fasilitas seperti mengelola materi perkuliahan. Penelitian ini selanjutnya akan menjelaskan tentang hubungan faktor-faktor yang mempengaruhi penerimaan dan penggunaan Be Smart dengan menggunakan model UTAUT. Penelitian ini merupakan penelitian eksplanatif dengan teknik analisis data pendekatan PLS. Data diperoleh dari responden (mahasiswa Fakultas Teknik UNY) diperoleh dengan menyebarkan kuisioner tertutup. Besarnya sampel pada penelitian yang menggunakan pendekatan PLS ini sejumlah 60 mahasiswa, dianalisis dengan metode Partial Least Square (PLS) menggunakan software smartPLS. Berdasarkan analisis data diperoleh hasil sebagai berikut: (1) Konstruk Performance Expectancy (PE) berpengaruh positif terhadap konstruk Behavioral Intention to Use The System (BIUS); (2) Konstruk Effort Expectancy (EE) berpengaruh positif terhadap konstruk Behavioral Intention to Use The System (BIUS); (3) Konstruk Social Influence (SI) berpengaruh positif terhadap konstruk Behavioral Intention to Use The System (BIUS); (4) Konstruk Facilitating Condition (FC) berpengaruh positif terhadap konstruk Behavioral Intention to Use The System (BIUS). Selain itu koefisien variabel latent FC terhadap konstruk BIUS pada model ini memiliki nilai paling besar diantara nilai koefisien variabel latent pada model hubungan antar konstruk lainnya. Kata Kunci : Unified Theory of Acceptance and Use of Technology (UTAUT), Learning Management System (LMS), E-Learning, Be Smart, Partial Least Square (PLS)
Group Diversity, Occupational Commitment, and Occupational Turnover Intentions among NCAA Division IA Football Coaching Staffs

The purpose of this study was to examine the influence of age, ethnic, and organizational tenure diversity on occupational commitment and occupational turnover intent among coaching staffs. Data were gathered via questionnaire from coaches in 48 NCAA Division IA football coaching staffs (235 coaches). Hierarchical regression analyses, controlling for the success of the team and the number of respondents per team, indicated that the block of diversity variables accounted for 18% (p < .05) of the variance in occupational commitment and 16% (p < .05) of the variance in occupational turnover intentions. Tenure and ethnic diversity were significant predictors in both analyses, although age diversity was not. Implications are discussed in relation to the complexity of diversity and strategies to mitigate the negative effects of group diversity on group-level outcomes.
Glycosylation of the core of the HIV-1 envelope subunit protein gp120 is not required for native trimer formation or viral infectivity

The gp120 subunit of the HIV-1 envelope (Env) protein is heavily glycosylated at ∼25 glycosylation sites, of which ∼7–8 are located in the V1/V2 and V3 variable loops and the others in the remaining core gp120 region. Glycans partially shield Env from recognition by the host immune system and also are believed to be indispensable for proper folding of gp120 and for viral infectivity. Previous attempts to alter glycosylation sites in Env typically involved mutating the glycosylated asparagine residues to structurally similar glutamines or alanines. Here, we confirmed that such mutations at multiple glycosylation sites greatly diminish viral infectivity and result in significantly reduced binding to both neutralizing and non-neutralizing antibodies. Therefore, using an alternative approach, we combined evolutionary information with structure-guided design and yeast surface display to produce properly cleaved HIV-1 Env variants that lack all 15 core gp120 glycans, yet retain conformational integrity and multiple-cycle viral infectivity and bind to several broadly neutralizing antibodies (bNAbs), including trimer-specific antibodies and a germline-reverted version of the bNAb VRC01. Our observations demonstrate that core gp120 glycans are not essential for folding, and hence their likely primary role is enabling immune evasion. We also show that our glycan removal approach is not strain restricted. Glycan-deficient Env derivatives can be used as priming immunogens because they should engage and activate a more divergent set of germlines than fully glycosylated Env. In conclusion, these results clarify the role of core gp120 glycosylation and illustrate a general method for designing glycan-free folded protein derivatives.
The metastases of enjoyment : six essays on woman and causality

The recent experience of the Yugoslav war and the rise of "irrational" violence in contemporary societies provides the theoretical and political context of this book, which uses Lacanian psychoanalysis as the basis for a renewal of the Marxist theory of ideology. The author's analysis leads into a study of the figure of woman in modern art and ideology, including studies of "The Crying Game" and the films of David Lynch, and the links between violence and power/gender relations.
Spectral patch based sparse coding for acoustic event detection

In most algorithms for acoustic event detection (AED), frame based acoustic representations are used in acoustic modeling. Due to lack of context information in feature representation, large model confusions may occur during modeling. We have proposed a feature learning and representation algorithm to explore context information from temporal-frequency patches of signal for AED. With the algorithm, a sparse feature was extracted based on an acoustic dictionary composed of a bag of spectral patches. In our previous algorithm, the feature was obtained based on a definition of Euclidian distance between input signal and acoustic dictionary. In this study, we formulate the sparse feature extraction as l1 regularization in signal reconstruction. The sparsity of the representation is efficiently controlled via varying a regularization parameter. A support vector machine (SVM) classifier was built on the extracted sparse feature for AED. Our experimental results showed that the spectral patch based sparse representation effectively improved the performance by incorporating temporal-frequency context information in modeling.
Multiple parasites are driving major histocompatibility complex polymorphism in the wild

Abstract Parasite mediated selection may result in arms races between host defence and parasite virulence. In particular, simultaneous infections from multiple parasite species should cause diversification (i.e. balancing selection) in resistance genes both at the population and the individual level. Here, we tested these ideas in highly polymorphic major histocompatibility complex (MHC) genes from three‐spined sticklebacks (Gasterosteus aculeatus L.). In eight natural populations, parasite diversity (15 different species), and MHC class IIB diversity varied strongly between habitat types (lakes vs. rivers vs. estuaries) with lowest values in rivers. Partial correlation analysis revealed an influence of parasite diversity on MHC class IIB variation whereas general genetic diversity assessed at seven microsatellite loci was not significantly correlated with parasite diversity. Within individual fish, intermediate, rather than maximal allele numbers were associated with minimal parasite load, supporting theoretical models of self‐reactive T‐cell elimination. The optimal individual diversity matched those values female fish try to achieve in their offspring by mate choice. We thus present correlative evidence supporting the ‘allele counting’ strategy for optimizing the immunocompetence in stickleback offspring.
The relevance of laboratory studies to practical situations.

By their very nature laboratory experiments are at best only rough and approximate models of any real-life situation. First of all the possible independent variables that influence behaviour in any practical situation, a laboratory experiment selects only a. few for test. As a result, hidden or unsuspected interactions in real-life may easily nullify, or even reverse, conclusions arrived at in the laboratory. Second, variables always change when they are brought into the laboratory. Third, the effect of controlling extraneous or irrelevant variables in the laboratory is to increase the precision of an experiment but at the risk of discovering effects so small that they are of no practical importance. Fourth, the dependent variables (or criteria) used in laboratory experiments are variables of convenience. Rarely are they selected for their relevance to some practical situation. Last, the methods used to present variables in the laboratory are sometimes artificial and unrealistic. The safest and most hones.
When transparency and collaboration collide: The USA Open Data program

President Obama's inaugural flagship Open Data program emphasizes the values of transparency, participation, and collaboration in governmental work. The Open Data performance data analysis, published here for the first time, proposes that most federal agencies have adopted a passive–aggressive attitude toward this program by appearing to cooperate with the program while in fact effectively ignoring it. The analysis further suggests that a tiny group of agencies are the only “real players” in the web arena. This research highlights the contradiction between Open Data's transparency goal (“All data must be freed”) and federal agencies' goal of collaborating with each other through data trade. The research also suggests that agencies comprehended that Open Data is likely to exacerbate three critical, back-office data-integration problems: inclusion, confusion, and diffusion. The article concludes with a proposal to develop an alternative Federal Information Marketplace (FIM) to incentivize agencies to improve data sharing. © 2011 Wiley Periodicals, Inc.
A REPLICATION OF COLLATERAL EFFECTS AND A COMPONENT ANALYSIS OF A SUCCESSFUL TUTORING PACKAGE FOR INNER-CITY ADOLESCENTS

This experiment analyzed the effects of several components of a tutoring package on the reading, on-task, and reinforcement behaviors of four adolescent tutors and twenty tutees in an innercity junior high school. The experiment also examined the academic benefits for tutors in two non-tutoring instructional settings. In the tutoring setting, tutors were taught to use verbal approval contingent upon tutee's on-task behaviors. During two phases when tutors earned point consequences for reinforcing their tutees, tutees systematically increased the number of correct reading comprehension questions answered each day. During a point reversal phase, which separated the two point earning phases, tutee responses declined. Thus, tutor points for reinforcing tutee responses were found to be the most important component of the tutoring package for both tutee and tutor. In the non-tutoring settings, in the absence of any direct treatment, tutors increased their levels of on-task behavior in reading and math and the number of correct reading comprehension questions answered during each day of the point phases. These effects were maintained for up to two weeks in a final reversal phase and replicated similar findings by Greer and Polirstok (1982). Standardized reading assessments demonstrated that both tutors and tutees systematically gained more during the second half of the year, when the tutoring program was in place, than they did at the beginning of the school year without the program. The implications of these findings are discussed. ★ ★ ★ Peer tutoring is a cost effective procedure that can be used for instructing students in both social and academic skills. Peer tutoring enables teachers to structure the most natural and potent reinforcer in the classroom for preadolescents and adolescents - social interaction with peers. The advantages of using students as tutors in the classroom have been cited extensively
Soil Data Analysis Using Classification Techniques and Soil Attribute Prediction

Agricultural research has been profited by technical advances such as automation, data mining. Today ,data mining is used in a vast areas and many off-the-shelf data mining system products and domain specific data mining application soft wares are available, but data mining in agricultural soil datasets is a relatively a young research field. The large amounts of data that are nowadays virtually harvested along with the crops have to be analyzed and should be used to their full extent. This research aims at analysis of soil dataset using data mining techniques. It focuses on classification of soil using various algorithms available. Another important purpose is to predict untested attributes using regression technique, and implementation of automated soil sample classification.
Reduced Decompositions of Matchings

We give a characterization of matchings in terms of the canonical reduced decompositions. As an application, the canonical reduced decompositions of $12312$-avoiding matchings are obtained. Based on such decompositions, we find a bijection between $12312$-avoiding matchings and ternary paths.
A Transiting Planet of a Sun-like Star

A planet transits an 11th magnitude, G1 V star in the constellation Corona Borealis. We designate the planet XO-1b and the star XO-1, also known as GSC 02041-01657. XO-1 lacks a trigonometric distance; we estimate it to be 200 ± 20 pc. Of the 10 stars currently known to host extrasolar transiting planets, the star XO-1 is the most similar to the Sun in its physical characteristics: its radius is 1.0 ± 0.08 R☉, its mass is 1.0 ± 0.03 M☉, its V sin i < 3 km s-1, and its metallicity [Fe/H] is 0.015 ± 0.04. The orbital period of the planet XO-1b is 3.941534 ± 0.000027 days, one of the longer ones known. The planetary mass is 0.90 ± 0.07MJ, which is marginally larger than that of other transiting planets with periods between 3 and 4 days. Both the planetary radius and the inclination are functions of the spectroscopically determined stellar radius. If the stellar radius is 1.0 ± 0.08 R☉, then the planetary radius is 1.30 ± 0.11RJ and the inclination of the orbit is 87. °7 ± 1. °2. We have demonstrated a productive international collaboration between professional and amateur astronomers that was important to distinguishing this planet from many other similar candidates.
Population‐level effects of male‐biased broods in eelpout (Zoarces viviparus)

Effects of environmental pollutants are most obvious when mortality is increased. However, there are other nonlethal factors that may affect population size significantly. Endocrine disruption as a mechanism of action for pollutants recently has received much attention. Observations of effects likely caused by endocrine disruptors in pulp mill effluents have been made on several fish species, e.g., male‐biased broods in eelpout (Zoarces viviparus). Fewer females represent a lower fecundity and could have dramatic effects on the population. In this study, a population viability analysis of the effects of skewed primary sex ratios in the eelpout was conducted using a female‐based matrix population model. The model is age‐structured with one deterministic version and another that incorporates environmental stochasticity. The model showed that the deterministic and stochastic growth rates in an undisturbed population (50% female fry) were 1.172 and 1.075, respectively, compared to 1.097 and 1.007 using the lowest proportion of female fry observed (38.7%). When primary sex ratios were more male‐biased, the probability of pseudoextinction increased. Model simulations showed that the probability of a decreased population size to 5% of the initial within a 100‐year time horizon was 44.7% with 38.7% female fry compared to only 7.7% for an undisturbed population.
Imaging Motor-to-Sensory Discharges in the Human Brain: An Experimental Tool for the Assessment of Functional Connectivity

We present a new approach to studying functional connectivity in the human brain. This approach is based on the observation that when we engage in motor activity, a discharge corollary to the motor command is sent from motor to sensory structures. Thus, as long as movement-related sensory input is either prevented or masked, modulation of neuronal activity in sensory structures would indicate the presence of functional connectivity between the motor and the sensory regions. Using positron emission tomography, such a central interaction between motor and sensory regions can be assessed by measuring regional changes in cerebral blood flow (CBF) in sensory regions. In this paper, we describe the experimental design and the results of two studies of corollary discharges, namely those generated during eye movements and speech. In these studies, a graded approach was used to establish the relationship between the number of eye movements or utterances and CBF in visual or auditory regions, respectively. Significant covariations between the number of movements and CBF in sensory regions were found, thus indicating the presence of functional connectivity between motor and sensory regions. In addition, interregional CBF covariations were computed and the effect of removing the intersubject variance on these covariations was evaluated. The corollary-discharge-based approach to studying functional connectivity is discussed in the context of more traditional computational approaches to network analysis in functional brain imaging.
Japanese Named Entity Extraction with Redundant Morphological Analysis

Named Entity (NE) extraction is an important subtask of document processing such as information extraction and question answering. A typical method used for NE extraction of Japanese texts is a cascade of morphological analysis, POS tagging and chunking. However, there are some cases where segmentation granularity contradicts the results of morphological analysis and the building units of NEs, so that extraction of some NEs are inherently impossible in this setting. To cope with the unit problem, we propose a character-based chunking method. Firstly, the input sentence is analyzed redundantly by a statistical morphological analyzer to produce multiple (n-best) answers. Then, each character is annotated with its character types and its possible POS tags of the top n-best answers. Finally, a support vector machine-based chunker picks up some portions of the input sentence as NEs. This method introduces richer information to the chunker than previous methods that base on a single morphological analysis result. We apply our method to IREX NE extraction task. The cross validation result of the F-measure being 87.2 shows the superiority and effectiveness of the method.
The linear accuracy of impressions and stone dies as affected by the thickness of the impression margin.

This study compared the dimensional accuracy of impressions and dies made from a metal model simulating prepared abutments and having gingival sulci of varying widths. Measurements of the abutments, impressions, and stone dies were made using a travelling microscope, and the number of defects in each impression was recorded. The impressions and dies made from abutments with narrower sulci showed greater distortions. Analysis of variance and the Fisher PLSD post hoc test indicated significant differences between the group having a sulcular width of 0.08 mm and the groups having larger sulcular widths for the impressions and for the dies (P < .05). The large coefficient of variation occurring groups having 0.08-, 0.13-, and 0.18-mm sulcular widths demonstrated the difficulty of consistently obtaining good impressions of abutments having such narrow sulcular widths. Between 50% and 90% of abutment impressions having sulcular widths of 0.08 and 0.13 mm had defects.