Miracle-dz/UniFAR-FTUs huggingface dataset:
Automatic Speaker Clustering

This paper presents a fully automatic speaker clustering algorithm, which consists of three components: building a distance matrix based on Gaussian models of the acoustic segments; performing hierarchical clustering on the distance matrix with the prior assumption that consecutive segments should be more likely to come from the same speaker; and selecting the best clustering solution automatically by minimizing the within-cluster dispersion with some penalty against too many clusters. We applied this automatic speaker clustering technique in 1996 Hub4 evaluation, and the results show that it contributed signi cantly to the word error rate (WER) reduction in unsupervised adaptation. From our experiments, the algorithm seldom misclassi es segments from the same speaker into di erent clusters. We used the same clustering procedure for both partitioned evaluation (PE) and unpartitioned evaluation (UE) tests [1]. Experiments also show that this automatic speaker clustering algorithm improves unsupervised adaptation as much as the hand labeled ideal case where the clusters are generated based on true speaker, channel and background condition.
Pattern Repository for Support of Project Management Capabilities

Project management (PM) capabilities define organizational abilities of delivering predictable project results in a changing environment. For evaluation and continuous improvement of the organizational PM capabilities, a PM maturity model is used. This model is a tool to benchmark existing PM processes against best practices and to identify the most suitable practices for implementation in an organization. Patterns are used for collection of the best practices and reusable solutions. The patterns are stored in the pattern repository, which allows not only identify the best practice for the implementation of PM maturity model but also supports proactive adaptation of PM processes according to changes in organization’s or project’s environment. This paper introduces the pattern repository as a support tool to enhance the PM capabilities. Design of the repository and integration with PM information system are presented as well as a usage example is provided.
Associations of Gestational Diabetes, Existing Diabetes, and Glycosuria With Offspring Obesity and Cardiometabolic Outcomes

OBJECTIVE To assess associations of gestational diabetes, existing diabetes, and glycosuria with adiposity and cardiometabolic risk factors in offspring at adolescence. RESEARCH DESIGN AND METHODS Multivariable regression analyses were conducted in a prospective pregnancy cohort (n = 2,563–4,198 for different outcomes). Obstetric data were abstracted from clinical records. Offspring outcomes were assessed at mean age 15.5 years. Compared with those lost to follow-up, participants included in the analysis were of higher socioeconomic position. Outcomes included BMI, waist circumference, fat mass determined by dual-energy X-ray absorptiometry scan, systolic and diastolic blood pressure (sBP and dBP, respectively), fasting glucose, insulin, lipids, and C-reactive protein (CRP). RESULTS Maternal existing diabetes, gestational diabetes, and glycosuria were associated with higher offspring BMI and fat mass (z scores); however, this effect was attenuated in the confounder-adjusted model, and the CIs included the null value. Existing diabetes and gestational diabetes were associated with higher offspring fasting glucose levels (0.24 mmol/L [95% CI 0.03–0.45] and 0.20 mmol/L [0.02–0.39], respectively). Glycosuria was associated with higher fasting insulin (adjusted ratio of geometric means 1.12 [1.01–1.25]), but there were no clear associations of existing or gestational diabetes with offspring fasting insulin. There was little evidence of an association of maternal diabetes or glycosuria with offspring dBP, sBP, lipids, or CRP. CONCLUSIONS Maternal pregnancy glycosuria, gestational diabetes, and existing diabetes show some associations with higher offspring fasting glucose and insulin assessed in adolescence but are not clearly associated with a wider range of cardiometabolic risk factors.
Association of Reduced Folate Carrier-1 (RFC-1) Polymorphisms with Ischemic Stroke and Silent Brain Infarction

Stroke is the second leading cause of death in the world and in South Korea. Ischemic stroke and silent brain infarction (SBI) are complex, multifactorial diseases influenced by multiple genetic and environmental factors. Moderately elevated plasma homocysteine levels are a major risk factor for vascular diseases, including stroke and SBI. Folate and vitamin B12 are important regulators of homocysteine metabolism. Reduced folate carrier (RFC), a bidirectional anion exchanger, mediates folate delivery to a variety of cells. We selected three known RFC-1 polymorphisms (-43C>T, 80A>G, 696T>C) and investigated their relationship to cerebral infarction in the Korean population. We used the polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) method to analyze associations between the three RFC-1 polymorphisms, disease status, and folate and homocysteine levels in 584 ischemic stroke patients, 353 SBI patients, and 505 control subjects. The frequencies of the RFC-1 -43TT, 80GG, and 696CC genotypes differed significantly between the stroke and control groups. The RFC-1 80A>G substitution was also associated with small artery occlusion and SBI. In a gene-environment analysis, the RFC-1 -43C>T, 80A>G, and 696T>C polymorphisms in the ischemic stroke group had combined effects with all environmental factors. In summary, we found that the RFC-1 -43C>T, 80A>G, and 696T>C polymorphisms may be risk factors for ischemic stroke.
A Review of the Transcranial Magnetic Stimulation Treatment in Autism Spectrum Disorders

Many researchers are focusing on diﬀerent medication and intervention methods to treat problems associated with autism spectrum disorder (ASD). Transcranial magnetic stimulation (TMS) is one of the novel techniques that currently have been investigated as a treatment for certain symptoms of autism. The aim of this study was to review the available evidence to determine the eﬃcacy of TMSinautism. Medline,Embase,CINAHL,Webof Science,Scopus,Wiley,OvidandGoogleScholardatabasesweresearchedforrel-evant controlled clinical trials. The terms “autism, autism spectrum disorders combined with transcranial magnetic stimulation, repetitive transcranial magnetic stimulation” were used as text words. Most of these studies targeted the dorsolateral prefrontal cortex(DLPFC)andusedlow-frequencystimulation. Thesestudieshadsomelimitations;however,theresultsof allof themshowed that TMS is eﬀective in improvement of ASD symptoms. Moreover, repetitive TMS might become useful in the rehabilitation of ASD patients. Finally, integrated approaches utilizing TMS together with other rehabilitation techniques, as well as using TMS to target the objective problems in ASD are proposed.
The zinc efflux activator SczA protects Streptococcus pneumoniae serotype 2 D39 from intracellular zinc toxicity

Zinc is an essential trace element that serves as a catalytic cofactor in metalloenzymes and a structural element in proteins involved in general metabolism and cellular defenses of pathogenic bacteria. Despite its importance, high zinc levels can impair cellular processes, inhibiting growth of many pathogenic bacteria, including the major respiratory pathogen Streptococcus pneumoniae. Zinc intoxication is prevented in S. pneumoniae by expression of the zinc exporter CzcD, whose expression is activated by the novel TetR‐family transcriptional zinc‐sensing regulator SczA. How zinc bioavailability triggers activation of SczA is unknown. It is shown here through functional studies in S. pneumoniae that an unannotated homodimeric TetR from S. agalactiae (PDB 3KKC) is the bona fide zinc efflux regulator SczA, and binds two zinc ions per protomer. Mutagenesis analysis reveals two metal binding sites, termed A and B, located on opposite sides of the SczA C‐terminal regulatory domain. In vivo, the A‐ and B‐site SczA mutant variants impact S. pneumoniae resistance to zinc toxicity and survival in infected macrophages. A model is proposed for S. pneumoniae SczA function in which both A‐ and B‐sites were required for transcriptional activation of czcD expression, with the A‐site serving as the evolutionarily conserved intracellular sensing site in SczAs.
Stable compactification and gravitational excitons from extra dimensions

We study inhomogeneous multidimensional cosmological models with a higher dimensional space-time manifold under dimensional reduction. Stability due to different types of effective potentials is analyzed for specific configurations of internal spaces. Necessary restrictions on the parameters of the models are found and masses of gravitational excitons (small inhomogeneous excitations of the scale factors of the internal spaces near minima of effective potentials) are calculated.
A real-time adaptive trading system using genetic programming

Technical analysis indicators are widely used by traders in financial and commodity markets to predict future price levels and enhance trading profitability. We have previously shown a number of popular indicator-based trading rules to be loss-making when applied individually in a systematic manner. However, technical traders typically use combinations of a broad range of technical indicators. Moreover, successful traders tend to adapt to market conditions by 'dropping' trading rules as soon as they become loss-making or when more profitable rules are found. In this paper we try to emulate such traders by developing a trading system consisting of rules based on combinations of different indicators at different frequencies and lags. An initial portfolio of such rules is selected by a genetic algorithm applied to a number of indicators calculated on a set of US Dollar/British Pound spot foreign exchange tick data from 1994 to 1997 aggregated to various intraday frequencies. The genetic algorithm is subsequently used at regular intervals on out-of-sample data to provide new rules and a feedback system is utilized to rebalance the rule portfolio, thus creating two levels of adaptivity. Despite the individual indicators being generally loss-making over the data period, the best rule found by the developed system is found to be modestly, but significantly, profitable in the presence of realistic transaction costs.
HOW SHOULD THE WELFARE OF FETAL AND NEUROLOGICALLY IMMATURE POSTNATAL ANIMALS BE PROTECTED?

Legal protection of the welfare of prenatal animals has not previously been addressed as a discrete subject within the academic literature on animal welfare, ethics and law. This paper aims to rectify this by reviewing the protections (or absence of protections) provided for fetuses by existing legislation in various jurisdictions, and considering the extent to which legal protection of animal fetuses can be justified on animal welfare grounds. Questions related to the need to protect the welfare of neurologically immature postnatal animals are also considered. We argue that there are reasons to protect animal fetuses, both in order to protect fetuses themselves against possible suffering, and in order to protect the animals which fetuses will become against negative welfare impacts that originate prenatally. We review the science on whether fetuses can suffer, and argue that extant regulations do not fully reflect current scientific understanding. Following the precautionary principle, we further argue that regulators should consider the possibility that foetuses and neurologically immature postnatal animals may suffer due to subcortically based ‘raw basic affects’ (i.e. relatively undifferentiated experiences of discomfort suggested to be generated by neural processing at levels below the cerebral cortex). Furthermore we show that there are reasons for affording fetuses protection in order to safeguard the long-term welfare of future animals. However, it may be possible to provide such protection via rules or laws relating to the use of certain techniques and the management of pregnant animals, rather than via direct legal protection of fetuses themselves. In order to provide such protection effectively we need to know more about the relationship between maternal nutrition, stress, exercise, management and fetal health, and about the impact of the timing of a fetal insult on long-term postnatal welfare.
Cytological Studies of Human Meiosis: Sex-Specific Differences in Recombination Originate at, or Prior to, Establishment of Double-Strand Breaks

Meiotic recombination is sexually dimorphic in most mammalian species, including humans, but the basis for the male:female differences remains unclear. In the present study, we used cytological methodology to directly compare recombination levels between human males and females, and to examine possible sex-specific differences in upstream events of double-strand break (DSB) formation and synaptic initiation. Specifically, we utilized the DNA mismatch repair protein MLH1 as a marker of recombination events, the RecA homologue RAD51 as a surrogate for DSBs, and the synaptonemal complex proteins SYCP3 and/or SYCP1 to examine synapsis between homologs. Consistent with linkage studies, genome-wide recombination levels were higher in females than in males, and the placement of exchanges varied between the sexes. Subsequent analyses of DSBs and synaptic initiation sites indicated similar male:female differences, providing strong evidence that sex-specific differences in recombination rates are established at or before the formation of meiotic DSBs. We then asked whether these differences might be linked to variation in the organization of the meiotic axis and/or axis-associated DNA and, indeed, we observed striking male:female differences in synaptonemal complex (SC) length and DNA loop size. Taken together, our observations suggest that sex specific differences in recombination in humans may derive from chromatin differences established prior to the onset of the recombination pathway.
The dynamics of cortical neuronal activity in the first minutes after spontaneous awakening in rats and mice.

STUDY OBJECTIVE Upon awakening from sleep, a fully awake brain state is not reestablished immediately, but the origin and physiological properties of the distinct brain state during the first min after awakening are unclear. To investigate whether neuronal firing immediately upon arousal is different from the remaining part of the waking episode, we recorded and analyzed the dynamics of cortical neuronal activity in the first 15 min after spontaneous awakenings in freely moving rats and mice. DESIGN Intracortical recordings of the local field potential and neuronal activity in freely-moving mice and rats. SETTING Basic sleep research laboratory. PATIENTS OR PARTICIPANTS WKY adult male rats, C57BL/6 adult male mice. INTERVENTIONS N/A. MEASUREMENTS AND RESULTS In both species the average population spiking activity upon arousal was initially low, though substantial variability in the dynamics of firing activity was apparent between individual neurons. A distinct population of neurons was found that was virtually silent in the first min upon awakening. The overall lower population spiking initially after awakening was associated with the occurrence of brief periods of generalized neuronal silence (OFF periods), whose frequency peaked immediately after awakening and then progressively declined. OFF periods incidence upon awakening was independent of ongoing locomotor activity but was sensitive to immediate preceding sleep/wake history. Notably, in both rats and mice if sleep before a waking episode was enriched in rapid eye movement sleep, the incidence of OFF periods was initially higher as compared to those waking episodes preceded mainly by nonrapid eye movement sleep. CONCLUSION We speculate that an intrusion of sleep-like patterns of cortical neuronal activity into the wake state immediately after awakening may account for some of the changes in the behavior and cognitive function typical of what is referred to as sleep inertia. CITATION Vyazovskiy VV, Cui N, Rodriguez AV, Funk C, Cirelli C, Tononi G. The dynamics of cortical neuronal activity in the first minutes after spontaneous awakening in rats and mice.
Predicting the global spread of H5N1 avian influenza

The spread of highly pathogenic H5N1 avian influenza into Asia, Europe, and Africa has resulted in enormous impacts on the poultry industry and presents an important threat to human health. The pathways by which the virus has and will spread between countries have been debated extensively, but have yet to be analyzed comprehensively and quantitatively. We integrated data on phylogenetic relationships of virus isolates, migratory bird movements, and trade in poultry and wild birds to determine the pathway for 52 individual introduction events into countries and predict future spread. We show that 9 of 21 of H5N1 introductions to countries in Asia were most likely through poultry, and 3 of 21 were most likely through migrating birds. In contrast, spread to most (20/23) countries in Europe was most likely through migratory birds. Spread in Africa was likely partly by poultry (2/8 introductions) and partly by migrating birds (3/8). Our analyses predict that H5N1 is more likely to be introduced into the Western Hemisphere through infected poultry and into the mainland United States by subsequent movement of migrating birds from neighboring countries, rather than from eastern Siberia. These results highlight the potential synergism between trade and wild animal movement in the emergence and pandemic spread of pathogens and demonstrate the value of predictive models for disease control.
Predicted levels of HIV drug resistance: potential impact of expanding diagnosis, retention, and eligibility criteria for antiretroviral therapy initiation

Background:There is concern that the expansion of antiretroviral roll-out may impact future drug resistance levels and hence compromise the benefits of antiretroviral therapy (ART) at an individual and population level. We aimed to predict future drug resistance in South Africa and its long-term effects. Methods:The previously validated HIV Synthesis model was calibrated to South Africa. Resistance was modeled at the level of single mutations, transmission potential, persistence, and effect on drug activity. Results:We estimate 652 000 people (90% uncertainty range: 543 000–744 000) are living with nonnucleoside reverse transcriptase inhibitor (NNRTIs)-resistant virus in South Africa, 275 000 in majority virus [Non-nucleoside reverse transcriptase inhibitor resistant virus present in majority virus (NRMV)] with an unsuppressed viral load. If current diagnosis and retention in care and eligibility criteria are maintained, in 20 years’ time HIV incidence is projected to have declined by 22% (95% confidence interval, CI −23 to −21%), and the number of people carrying NNRTI resistance to be 2.9-fold higher. If enhancements in diagnosis and retention in care occur, and ART is initiated at CD4+ cell count less than 500 cells/&mgr;l, HIV incidence is projected to decline by 36% (95% CI: −37 to −36%) and the number of people with NNRTI resistance to be 4.1-fold higher than currently. Prevalence of people with viral load more than 500 copies/ml carrying NRMV is not projected to differ markedly according to future ART initiation policy, given the current level of diagnosis and retention are maintained. Conclusion:Prevalence of resistance is projected to increase substantially. However, introduction of policies to increase ART coverage is not expected to lead to appreciably higher prevalence of HIV-positive people with resistance and viral load more than 500 copies/ml. Concern over resistance should not stop expansion of treatment availability.
Quantum Behaved Multi-objective PSO and ACO Optimization for Multi-level Thresholding

In this paper, two quantum behaved multi-objective optimization techniques, based on Binary Particle Swarm Optimization and Ant Colony Optimization, have been introduced. The proposed approaches are used to search optimal threshold values of gray scale images, by optimizing the non-dominated solutions using Li's method as objective function. These approaches coalesce the meta-heuristic algorithms with the intrinsic features of quantum theory to make the techniques more effective. The best fitness values, the set of optimal thresholds and the computation times at different level of thresholding have been reported both for the proposed techniques and their equivalent classical counterparts. The superiority of the techniques presented in this paper, are established in terms of computational time. Thereafter, the mean fitness and the standard deviation of the objective values prove that the proposed techniques are more effectual of than others. Finally, the performance of each technique has been evaluated by determining the PSNR values of the test images. It was found that the proposed techniques have better PSNR values as compared to their corresponding components. Hence, quality of thresholding is established in favour of the proposed techniques.
Macular Choroidal Thickness May Be the Earliest Determiner to Detect the Onset of Diabetic Retinopathy in Patients with Prediabetes: A Prospective and Comparative Study

ABSTRACT Purpose: To evaluate the macular and peripapillary choroidal thickness and retinal volume in prediabetes. Material and Methods: This prospective comparative study included 53 patients with prediabetes and 53 age- and sex-matched healthy subjects. Only right eyes were selected. Choroidal thicknesses (CT) and retinal volume were measured by optical coherence tomography. Macular CT was measured at the seven points including macular center, 1, 2, and 3 mm distances along the temporal and nasal scans. Peripapillary CT was measured at the eight points of the optic disk area. Systemic and laboratory findings of the subjects were also recorded. Results: There were no significant differences in blood pressures, ocular findings including intraocular pressure, visual acuity, and refractive powers, and macular volumes between the two groups (p > 0.005). Macular and peripapillary CT at all measuring points, body mass index (BMI), fasting blood glucose (FBG), hemoglobinA1C, and lipid profile were significantly higher in prediabetic patients (p < 0.05). There was a significant positive correlation between all points of macular choroidal thicknesses with BMI, FBG, and hemoglobin A1C (p < 0.05). Conclusion: Prediabetic factors including impaired FBG, increased hemoglobinA1C, and BMI are independent risk factors for increase in choroidal thickness. Increased macular choroidal thickness may be the earliest determiner to detect the onset of diabetic retinopathy in prediabetes.
Systematic address and control code transformations for performance optimisation of a MPEG-4 video decoder

A cost-efficient realisation of an advanced multimedia system requires high-level memory optimisations to deal with the dominant memory cost. This typically results in more efficient code for both power and system bus load. However, significant performance improvement can also be achieved when carefully optimising the address functionality. This paper shows how the nature of this addressing code and the related control flow allows transformation of the complex index, iterator and condition expressions into efficient arithmetic. We apply our address optimisation (ADOPT) design technology to a low power memory optimised MPEG-4 decoder When mapped on popular programmable multimedia processor architectures, we obtain a factor of 2 in performance gain.