Miracle-dz/UniFAR-FTUs huggingface dataset:
PENGEMBANGAN ARSITEKTUR JARINGAN SYARAF TIRUAN UNTUK PENGENALAN EKSPRESI WAJAH MANUSIA

Abstract Facial expression is a natural way to express one's emotions. Facial expressions recognition using computer can be seen from the changes in the components of the face. This research applies Facial Characteristics Points (FCP) as a basis to see changes in the facial image. In this research, the expression of which is recognized by only four, such as neutral, angry, happy, and sad. Hybrid Artificial Neural Networks Back Propagation and Radial Base Function used to classification. The result of the research seen software can recognize human facial expressions well. The conclusion of this research is the FCP may be used as a basis for developing a Neural Network Architecture for recognition facial expressions. Keyword: Facial expression, Artificial Neural Network, Facial Characteristics Points
When Cognitive Bias Masquerades as Intervention Efficacy: Drinking Norms as Anchors and Norm Interventions as Anchoring Effects

WHEN COGNITIVE BIAS MASQUERADES AS INTERVENTION EFFICACY: DRINKING NORMS AS ANCHORS AND NORM INTERVENTIONS AS ANCHORING EFFECTS Matthew R. Pearson Old Dominion University, 2012 Director: Dr. James M. Henson Problematic drinking is a serious public health concern on college campuses in the United States. College students most frequently report drinking for social reasons, and perceptions of peers' drinking, or perceived drinking norms, are among the most consistent, robust predictors of college student drinking. Therefore, norm-based interventions have risen to prominence in the attempt to reduce the harm caused by college student alcohol use; However, the efficacy of these interventions may be obscured by cognitive bias. Specifically, providing information regarding the drinking norm may "anchor" individuals' estimates of their own behavior. Using samples of college student drinkers, two studies were conducted to examine whether normative feedback serves as an anchor and biases one's report of their behavior {norms as anchor hypothesis). In addition, the boundary conditions of this effect were examined. Specifically, it was examined whether the anchoring effect is attenuated or eliminated when participants are forewarned about the anchoring effect or when controlling for social desirability bias. Contrary to hypotheses, a robust anchoring effect was not found in Study 1 or Study 2. Given the lack of clarity provided by null results, these findings are interpreted cautiously. Methodological limitations are discussed in terms of how improvements can be made for future research and what the results signify for normbased interventions.
LT3: A Multi-modular Approach to Automatic Taxonomy Construction

This paper describes our contribution to the SemEval-2015 task 17 on “Taxonomy Extraction Evaluation”. We propose a hypernym detection system combining three modules: a lexico-syntactic pattern matcher, a morphosyntactic analyzer and a module retrieving hypernym relations from structured lexical resources. Our system ranked first in the competition when considering the gold standard and manual evaluation, and second in the overall ranking. In addition, the experimental results show that all modules contribute to finding hypernym relations between terms.
Asynchronous, online, GMM-free training of a context dependent acoustic model for speech recognition

We propose an algorithm that allows online training of a context dependent DNN model. It designs a state inventory based on DNN features and jointly optimizes the DNN parameters and alignment of the training data. The process allows flat starting a model from scratch and avoids any dependency on a GMM/HMM model to bootstrap the training process. A 15k state model trained with the proposed algorithm reduced the error rate on a mobile speech task with 24% compared to a system bootstrapped from a CI HMM/GMM and with 16% compared to a system bootstrapped from a CD HMM/GMM system.
Natural Language Understanding with the Generality Feedback

This study addresses the problem of improving the quality of natural language (NL) understanding by means of the involvement of the additional criterion of correct formal representation of the input inquiry. This criterion is based on the logical compatibility between the input inquiry, translated into the formal language, and the domain, encoded in the same language. Inquiry generality is measured as a normalized number of object tuples, which deliver the translation satisfaction for a given domain. Computational experiments in various domains show that the certain diapason of generality indicates the proper translation. Specific heuristics are developed for the transformation of the translation formula to improve the value of the generality criterion. Usually, if the generality is too high (there is a large number of the tuples of objects) then the semantic analyzer has likely ignored some syntactic constraints for the translation formula. On the contrary, when the generality is too low (there is no object tuples, satisfying the translation), then the semantic analyzer has likely introduced too many syntactic constraints, and some of them have to be eliminated. Generality criterion helps in the frequent situations, where the morphological and syntactic processing is insufficient for the construction of the proper inquiry translation into the formal language. Our approach is based on the experimentally verified fact that the user poses inquiries with the reasonable generality. This knowledge helps us to improve the semantic analysis to function in the flexible and expandable domains, where the lexical information is rather limited. Compatibility feedback by means of generality control poses the specific requirements to the formal language of inquiry translation and domain knowledge representation. The semantic processor is implemented as a logical program with metalanguage support to present the complex semantic rules. Suggested approach allowed us to build the NL understanding system with high inquiry complexity, involving up to 3-4 concepts.
Example-Based Optimization of Surface-Generation Tables

A method is given that "inverts" a logic grammar and displays it from the point of view of the logical form, rather than from that of the word string. LR-compiling techniques are used to allow a recursive-descent generation algorithm to perform "functor merging" much in the same way as an LR parser performs prefix merging. This is an improvement on the semantic-head-driven generator that results in a much smaller search space. The amount of semantic lookahead can be varied, and appropriate tradeoff points between table size and resulting nondeterminism can be found automatically. This can be done by removing all spurious nondeterminism for input sufficiently close to the examples of a training corpus, and large portions of it for other input, while preserving completeness.
Roles in the Context of Multiagent Task Relationships

In computer science, there currently exist several definitions of roles. We introduce roles from the perspective of a task relationship defined as a connection between entities via a set of tasks. In our view, a role is a component of a task relationship within the context of a cooperative multiagent system or organization. We describe a model of roles that approaches the meaning of what a role is from a computational perspective in task allocation and treats roles as participants in a task relationship. We utilize notation from linguistics to introduce how roles can influence each other. We argue that the key features of current models of roles can be mapped into our task relationship model, and we illustrate how this approach satisfies most of the desired properties of roles.
A robust all-wet-etching process for mesa formation of InGaAs-InP HBT featuring high uniformity and high reproducibility

A simple InP-based heterojunction bipolar transistors (HBT) fabrication process featuring high uniformity and high reproducibility is introduced. No dry etching method was utilized for triple-mesa formation to avoid plasma damage to the device surface. An all-wet etching method was specially developed. This process is relatively simple compared to the conventional HBT fabrication process with respect to the emitter mesa formation by one-step selective etching. Uniformity of the current gain over a 3-in diameter wafer was approximately 2.9%, and the variation of the current gain of 17 wafers was 2.9 (max.-min.). The current gain cutoff frequency and the maximum oscillation frequency were 145 and 174 GHz, respectively. The mean time to failure was over 5 /spl times/ 10/sup 6/ h at 150/spl deg/ C whose criterion was over 3% changes in the current gain. This process is suitable for mass production of ultrahigh speed ICs in high yield.
Comparative evaluation of despeckle filtering in ultrasound imaging of the carotid artery

It is well-known that speckle is a multiplicative noise that degrades the visual evaluation in ultrasound imaging. The recent advancements in ultrasound instrumentation and portable ultrasound devices necessitate the need of more robust despeckling techniques for enhanced ultrasound medical imaging for both routine clinical practice and teleconsultation. The objective of this work was to carry out a comparative evaluation of despeckle filtering based on texture analysis, image quality evaluation metrics, and visual evaluation by medical experts in the assessment of 440 (220 asymptomatic and 220 symptomatic) ultrasound images of the carotid artery bifurcation. In this paper a total of 10 despeckle filters were evaluated based on local statistics, median filtering, pixel homogeneity, geometric filtering, homomorphic filtering, anisotropic diffusion, nonlinear coherence diffusion, and wavelet filtering. The results of this study suggest that the first order statistics filter lsmv, gave the best performance, followed by the geometric filter gf4d, and the homogeneous mask area filter lsminsc. These filters improved the class separation between the asymptomatic and the symptomatic classes based on the statistics of the extracted texture features, gave only a marginal improvement in the classification success rate, and improved the visual assessment carried out by the two experts. More specifically, filters lsmv or gf4d can be used for despeckling asymptomatic images in which the expert is interested mainly in the plaque composition and texture analysis; and filters lsmv, gf4d, or lsminsc can be used for the despeckling of symptomatic images in which the expert is interested in identifying the degree of stenosis and the plaque borders. The proper selection of a despeckle filter is very important in the enhancement of ultrasonic imaging of the carotid artery. Further work is needed to evaluate at a larger scale and in clinical practice the performance of the proposed despeckle filters in the automated segmentation, texture analysis, and classification of carotid ultrasound imaging.
Vitamin D Levels and Monospot Tests in Military Personnel with Acute Pharyngitis: A Retrospective Chart Review

Some recent studies have proposed an important role for vitamin D in reducing the risk of infection by assisting in the suppression of viruses and by controlling the inflammatory response. A low vitamin D state may have a detrimental effect on the immune system’s ability to produce activated CD8+ T cells, and it may increase the inflammatory reaction to Epstein Barr virus. The aim of this chart review was to see if serum 25 OH vitamin D3 levels in service members with acute pharyngitis were lower in those who had positive rather than negative monospot tests. A retrospective chart review was conducted on the medical records of service members who presented to sick call at Camp Lejeune, NC with acute pharyngitis from October 8, 2010 until June 30, 2011. Serum 25 OH vitamin D3 levels were compared between those with positive and negative monospot test results. Of the 25 records that were reviewed, there were 9 (36%) service members with positive results, and they were found to have lower vitamin D levels (Median = 20.80 ng/ml, Interquartile range = 10.15) than those with negative test results (Median = 30.35 ng/ml, Interquartile range = 17.05), Mann-Whitney U = 41, p = . 039. Only 1 of the 9 with positive test results had a normal serum 25 OH vitamin D3 level (30 ng/ml or greater) compared with 9 of the 16 with negative test results. Optimal vitamin D stores may play a significant role in reducing the risk of developing acute mononucleosis but larger, prospective studies will be needed to verify these findings.
A prospective cohort study of exposure-response relationship for vibration-induced white finger

Objectives: To investigate prospectively the relation between vibration-induced white finger (VWF) and measures of cumulative (lifetime) exposure to hand-transmitted vibration (HTV). Methods: Two hundred and forty-nine HTV workers and 138 control men of the same companies participated in a 3-year follow-up study. The diagnosis of VWF (Raynaud’s phenomenon in the controls) was based on the medical history, the administration of colour charts and the results of a cold test. Tool vibration magnitudes were expressed as root-mean-square (r.m.s.) acceleration, frequency-weighted according to international standard ISO 5349-1 and also unweighted over the frequency range 6.3–1250 Hz. From the vibration magnitudes and exposure durations, alternative measures of cumulative vibration dose were calculated for each HTV worker, according to the expression: dose = Σaimti, where ai is the acceleration magnitude on tool i, ti is the lifetime exposure duration (hours) for tool i, and m = 0, 1, 2 or 4. Results: The incidence of VWF varied from 5 to 6% in the HTV workers versus 0 to 1.5% for Raynaud’s phenomenon in the controls. After adjusting for potential confounders, measures of cumulative vibration dose derived from total operating hours and high powers of unweighted acceleration (ie, , with m>1) gave better predictions of the occurrence of VWF than dose measures calculated from frequency-weighted acceleration (ie, ). These findings were observed in the entire sample of HTV workers, in those with no VWF at the initial investigation, and in those with normal cold test results at baseline. Conclusions: This prospective cohort study suggests that measures of cumulative vibration doses constructed from unweighted r.m.s. acceleration perform better for the prediction of VWF than dose measures calculated according to the recommendations of current standards. These findings should contribute to the improvement of the ISO frequency weighting for evaluating the severity of hand-transmitted vibration.
Behavioral auditory assessment of young infants: methodological limitations or natural lack of auditory responsiveness?

The determination of auditory thresholds by means of behavioral techniques in young infants can be difficult. This could be the result of limitations in methodology, a lack of observable auditory responsiveness, or both. In the current study, 2- and 4-month old infants were tested under enhanced conditions for obtaining behavioral responses (i.e., salient auditory stimuli, reduced visual distractions, reinforced correct responses). A two-interval, forced-choice task with four intensity levels was used. Although a behavioral threshold was obtained for the 4-month-olds, threshold determination for the 2-month-olds remained elusive. In light of the current findings and previous studies of visual acuity of infants, these results suggest a lack of behavioral responsiveness to auditory stimuli for the younger infants rather than methodological limitations. With infants in the 2-month-old age range, clinical audiologists should expect few behavioral responses to auditory stimuli at intensity levels below those that elicit startle responses.
The Human Metapneumovirus Matrix Protein Stimulates the Inflammatory Immune Response In Vitro

Each year, during winter months, human Metapneumovirus (hMPV) is associated with epidemics of bronchiolitis resulting in the hospitalization of many infants. Bronchiolitis is an acute illness of the lower respiratory tract with a consequent inflammation of the bronchioles. The rapid onset of inflammation suggests the innate immune response may have a role to play in the pathogenesis of this hMPV infection. Since, the matrix protein is one of the most abundant proteins in the Paramyxoviridae family virion, we hypothesized that the inflammatory modulation observed in hMPV infected patients may be partly associated with the matrix protein (M-hMPV) response. By western blot analysis, we detected a soluble form of M-hMPV released from hMPV infected cell as well as from M-hMPV transfected HEK 293T cells suggesting that M-hMPV may be directly in contact with antigen presenting cells (APCs) during the course of infection. Moreover, flow cytometry and confocal microscopy allowed determining that M-hMPV was taken up by dendritic cells (moDCs) and macrophages inducing their activation. Furthermore, these moDCs enter into a maturation process inducing the secretion of a broad range of inflammatory cytokines when exposed to M-hMPV. Additionally, M-hMPV activated DCs were shown to stimulate IL-2 and IFN-γ production by allogeneic T lymphocytes. This M-hMPV-mediated activation and antigen presentation of APCs may in part explain the marked inflammatory immune response observed in pathology induced by hMPV in patients.
Identifying and explaining inconsistencies in linked administrative and survey data: the case of German employment biographies

»Bestimmung und Erklärung von Inkonsistenzen in verknüpften administrativen und Befragungsdaten: Aufgezeigt am Beispiel deutscher Erwerbsbiografien«. Surveys often cope with special problems: gaps in retrospection appear or respondents could not provide details. Sometimes these problems can be solved by using additional qualitative information. Another – so far disregarded – possibility is to use process-generated data to expand survey data. The focus of this article is on the potentials and problems of linking administrative and survey data. In particular this is shown by comparison of retrospective survey information on employment cycles and the according process-generated data.
The FDI-Growth Nexus in Latin America: The Role of Source Countries and Local Conditions

Foreign Direct Investment (FDI) has surged in Latin America (LA) since the mid 1990s. European and North American FDI is of capital importance. We investigate the FDI-growth nexus in LA allowing for different source countries, regional hetero- geneity, interaction terms with FDI, and more than 20 growth determinants. We use Bayesian Model Averaging to address model uncertainty and to select the best mod- els and most robust parameters. The principal finding is that a positive FDI-growth nexus in LA requires a functioning legal framework and macroeconomic stability. We also find that European FDI is only indirectly correlated with productivity growth, whereas North American FDI is more robust and thus directly correlated with pro- ductivity growth.
The NIH Office of Rare Diseases Research Patient Registry Standard: A Report from the University of New Mexico's Oculopharyngeal Muscular Dystrophy Patient Registry

Patient registries remove barriers to performing research by assembling patient cohorts and data in a systematic, efficient, and proactive manner. Consequently, registries are a valuable strategy for facilitating research and scientific discovery. Registries for rare diseases are arguably even more valuable since there is difficulty in assembling cohorts of adequate size for study. Recently, the NIH Office of Rare Diseases Research created a rare disease registry Standard to facilitate research across multiple registries. We implemented the Standard for the Oculopharyngeal Muscular Dystrophy patient registry created at the University of New Mexico Health Sciences Center. We performed a data element analysis for each Common Data Element defined in the Standard. Problems included the use of previous HL7 versions, non-structured data types, and a recent update to the Standard. Overall, the Standard is an excellent first step toward standardizing patient registries to facilitate work on broader questions and promote novel interdisciplinary collaborations.
High-performance packet classification on GPU

Multi-field packet classification is a network kernel function where packets are classified and routed based on a predefined rule set. Recently, there has been a new trend in exploring Graphics Processing Unit (GPU) for network applications. These applications typically do not perform floating point operations and it is challenging to obtain speedup. This paper presents a high-performance packet classifier on GPU. We investigate GPU's characteristics in parallelism and memory accessing, and implement our packet classifier using Compute Unified Device Architecture (CUDA). The basic operations of our design are binary range-tree search and bitwise AND operation.We optimize our design by storing the range-trees using compact arrays without explicit pointers in shared memory. We evaluate the performance with respect to throughput and processing latency. Experimental results show that our approach scales well across a range of rule set sizes from 512 to 4096. When the size of rule set is 512, our design can achieve the throughput of 85 million packets per second and the average processing latency of 4.9 μs per packet. Compared with the implementation on the state-of-the-art multi-core platform, our design demonstrates 1.9x improvement with respect to throughput.
Design and Performance Issues of Cholesky and LU Solvers Using UPCBLAS

Partitioned Global Address Space (PGAS) languages offer programmers a shared memory view that increases their productivity and allow locality exploitation to obtain good performance on current large-scale distributed memory systems. UPCBLAS is a parallel numerical library for dense matrix computations using the PGAS Unified Parallel C (UPC) language. The interface of this library exploits the characteristics of the PGAS memory model and thus it is easier to use than MPI-based libraries. This paper addresses the implementation of solvers of systems of equations through Cholesky and LU factorizations in UPC using UPCBLAS. The developed codes are experimentally evaluated and compared to the MPI versions using ScaLAPACK. Parallel solvers of equations are present in many parallel numerical applications and they have been traditionally developed in MPI. This work shows that UPCBLAS can be considered as a good alternative to the MPI-based libraries for increasing the productivity of numerical application developers.
Post-transcriptional regulation of early embryogenesis

Gene expression is controlled by diverse mechanisms before, during, and after transcription. Chromatin modification factors as well as transcriptional repressors, silencers, and enhancers all feed into how eukaryotes transcribe RNA in the nucleus. However, there is increasing evidence that post-transcriptional regulation of gene expression is as widespread as transcriptional control if not more so. Studies of specific transcripts in oocytes and embryos are at the core of our mechanistic understanding of many post-transcriptional events. Coupled with genome-wide and large-scale experimental approaches, research is bringing to light how these regulatory events function independently and in concert to regulate protein expression.