Miracle-dz/UniFAR-FTUs huggingface dataset:
HMM-based Unit Selection Using F

This paper presents a hidden Markov model (HMM) based unit selection method for concatenative speech synthesis system. Frame sized waveform segments are adopted as basic synthesis units here to increase the coverage rate of candidate units and the chance of finding appropriate ones. In training stage, a set of contextual dependent HMMs are trained with static and dynamic acoustic features. When synthesizing a sentence, the optimal frame sequence is searched out from speech corpus by maximizing the output probability of a sentence HMM constructed according to the contextual information of input text. Listening test proves that proposed method can achieve better performance of synthesized speech compared with the method using state sized units and cost function criterion.
Human milk pasteurization: benefits and risks

Purpose of reviewRecent findings substantiate that the optimal method of nourishing preterm, very low birth weight infants (VLBW, born <1500 g) is through appropriately nutrient-enriched human milk, which is frequently provided as pasteurized donor milk. The availability of donor milk for VLBW infants during initial hospitalization continues to increase with the launch of new milk banks in North America. The majority of North American neonatal ICUs now have written policies governing the provision of donor milk. The purpose of this review is to summarize recent evidence regarding the risks and benefits of pasteurization of human milk and outcomes associated with its provision to VLBW preterm infants. Recent findingsStudies investigating the impact of collection, storage and pasteurization on the bacteriostatic, immunologic and nutritional aspects of human milk continue to be published, generally revealing a partial, but not complete reduction in bioactivity. Risk of contamination of pasteurized donor human milk with pathogenic agents is mitigated through pasteurization. New pasteurization methods aiming to maintain the safety of pooled human milk while better preserving bioactivity are under investigation. SummaryProvision of a human milk-derived diet to preterm VLBW infants is associated with improved outcomes.
Decreased HCRP 1 expression is associated with poor prognosis in breast cancer patients

Background: Downregulation of hepatocellular carcinoma related protein 1 (HCRP1) has been reported to be associated with a poor prognosis in a variety of malignant tumors. The purpose of this study was to assess HCRP1 expression in breast cancer and to examine its possible correlation with commonly used prognostic factors, particularly epidermal growth factor receptor (EGFR). Methods: Immunohistochemical analysis was performed on tumors from 194 patients with primary breast cancer. HCRP1 expression was analyzed along with major clinicopathological variables. Results: HCRP1 protein expression was shown to be correlated with age (P = 0.001), histological grade (P = 0.005), tumor progression (P = 0.013), and death (P = 0.001), but not with tumor size, lymph-node metastasis, or Ki67 status. Kaplan-Meier survival curves showed that lower HCRP1 expression was significantly correlated with increased short-term survival (P < 0.001), and both univariate and multivariate analyses revealed that HCRP1, tumor size, lymph-node metastasis, and human epidermal growth factor receptor-2 (HER-2) were independent prognostic factors (all P < 0.05). In addition, low HCRP1 expression was much more frequent in triple negative breast cancer (TNBC; 63.89%) than in luminal (16.95%) and HER-2 overexpression phenotypes (7.5%; P < 0.001), and significant correlations between HCRP1 and survival time were observed for the TNBC group (P < 0.004). Furthermore, an inverse relationship between HCRP1 and EGFR expression was found both for the complete set of all cases (P < 0.001), and for each phenotype analyzed individually (P < 0.05). Conclusion: Our results suggest that HCRP1 may play an important role in EGFR regulation and that its decreased expression is an independent predictor of breast cancer, especially in TNBC patients.
ChIP-SEQ AND PEAK CALLING

et al details each of these steps and discusses how peak finding tools approach the separate steps very differently (3). A follow up review by Wilbanks et al evaluated the performance of 11 ChIP-seq peak callers nearly all of which are still widely used today (4). Each step can have parameters that can be adjusted by the user, but changing these can significantly affect the final peak lists. Care must be taken that data sets are analysed using the same methods. The ENCODE consortium produced guidelines for analysis of the dispersed data sets to avoid issues created by analysis parameter differences (5). This project used MACS, PeakSeq and SPP.
Experimental Induction of Bacterial Resistance to the Antimicrobial Peptide Tachyplesin I and Investigation of the Resistance Mechanisms

ABSTRACT Tachyplesin I is a 17-amino-acid cationic antimicrobial peptide (AMP) with a typical cyclic antiparallel β-sheet structure that is a promising therapeutic for infections, tumors, and viruses. To date, no bacterial resistance to tachyplesin I has been reported. To explore the safety of tachyplesin I as an antibacterial drug for wide clinical application, we experimentally induced bacterial resistance to tachyplesin I by using two selection procedures and studied the preliminary resistance mechanisms. Aeromonas hydrophila XS91-4-1, Pseudomonas aeruginosa CGMCC1.2620, and Escherichia coli ATCC 25922 and F41 showed resistance to tachyplesin I under long-term selection pressure with continuously increasing concentrations of tachyplesin I. In addition, P. aeruginosa and E. coli exhibited resistance to tachyplesin I under UV mutagenesis selection conditions. Cell growth and colony morphology were slightly different between control strains and strains with induced resistance. Cross-resistance to tachyplesin I and antimicrobial agents (cefoperazone and amikacin) or other AMPs (pexiganan, tachyplesin III, and polyphemusin I) was observed in some resistant mutants. Previous studies showed that extracellular protease-mediated degradation of AMPs induced bacterial resistance to AMPs. Our results indicated that the resistance mechanism of P. aeruginosa was not entirely dependent on extracellular proteolytic degradation of tachyplesin I; however, tachyplesin I could induce increased proteolytic activity in P. aeruginosa. Most importantly, our findings raise serious concerns about the long-term risks associated with the development and clinical use of tachyplesin I.
Piracy on File-sharing Networks: Strategies for Recording Companies

In this article, we study the impact on piracy of selling music as downloadable files and the strategies that recording companies should adopt to increase profits. We find that total music sales and profits of firm (recording company) are higher, and total piracy (demand on file-sharing networks) is lower when the firm sells a downloadable version of a music track. We also look at the firm's optimal level of digital rights management (DRM) protection. We found that revenue decreases with increased protection. It is therefore optimal for the firm not to employ any DRM protection in the absence of network externality (NE). Listening to music or watching videos protected by DRM is cumbersome to users because they have to download license files and there are restrictions on the number of times the file can be copied and on the type of devices that can play the file. As a result, DRM protection is a disutility to the legal consumer and the firm must charge lower prices with more DRM protection. When NE is high and a nominal search cost is above a certain threshold, then non-zero protection becomes optimal.
The Impact of Personality Variables, Prior Experience, and Training on Sales Agents' Internet Utilization and Performance

ABSTRACT Emerging literature on the impact of the Internet on business-to-business (B2B) marketing has primarily focused on examining this issue from the perspective of manufacturers and buyers. This study focuses on the sales agent, a third prominent actor in B2B markets, and tests a conceptual model that relates a sales agent's personality, demographic, and user-situational constructs to that sales agent's Internet utilization for selling activities. Further, the model tested in this study relates a sales agent's Internet utilization to perceived sales performance. Findings in this study indicate that internal locus of control, learning orientation, and sales related Internet training relate positively to a sales agent's Internet utilization, and that a sales agent's age relates negatively to Internet utilization. Further, the results support a positive relationship between a sales agent's Internet utilization and sales performance. This study emphasizes that the Internet can be a productive tool for sales agents. The implications of the results of this study for sales agents with respect to training and recruitment are discussed and avenues for future research are suggested.
The “Drinking-Buddy” Scale as a Measure of Para-Social Behavior

Para-social behavior is a form of quasi-interpersonal behavior that results when audience members develop bonds with media personalities that can resemble interpersonal social interaction, but is not usually applied to political communication. This study tested whether the “Drinking-Buddy” Scale, a simple question frequently used in political communication, could be interpreted as a single-item measure of para-social behavior with respect to political candidates in terms of image judgments related to interpersonal attraction and perceived similarity to self. The participants were college students who had voted in the 2008 election. They rated the candidates, Obama or McCain, as drinking buddies and then rated the candidates' perceived similarity to themselves in attitude and background, and also the social and task attraction to the candidate. If the drinking-buddy rating serves as a proxy measure for para-social behavior, then it was expected that participants' ratings for all four kinds of similarity to and attraction toward a candidate would be higher for the candidate they chose as a drinking buddy. The directional hypotheses were supported for interpersonal attraction, but not for perceived similarity. These results indicate that the drinking-buddy scale predicts ratings of interpersonal attraction, while voters may view perceived similarity as an important but not essential factor in their candidate preference.
Simulation of air and ground temperatures in PMIP3/CMIP5 last millennium simulations: implications for climate reconstructions from borehole temperature profiles

For climate models to simulate the continental energy storage of the Earth’s energy budget they must capture the processes that partition energy across the land-atmosphere boundary. We evaluate herein the thermal consequences of these processes as simulated by models in the third phase of the paleoclimate modelling intercomparison project and the fifth phase of the coupled model intercomparison project (PMIP3/CMIP5). We examine air and ground temperature tracking at decadal and centennial time-scales within PMIP3 last-millennium simulations concatenated to historical simulations from the CMIP5 archive. We find a strong coupling between air and ground temperatures during the summer from 850 to 2005 CE. During the winter, the insulating effect of snow and latent heat exchanges produce a decoupling between the two temperatures in the northern high latitudes. Additionally, we use the simulated ground surface temperatures as an upper boundary condition to drive a one-dimensional conductive model in order to derive synthetic temperature-depth profiles for each PMIP3/CMIP5 simulation. Inversion of these subsurface profiles yields temperature trends that retain the low-frequency variations in surface air temperatures over the last millennium for all the PMIP3/CMIP5 simulations regardless of the presence of seasonal decoupling in the simulations. These results demonstrate the robustness of surface temperature reconstructions from terrestrial borehole data and their interpretation as indicators of past surface air temperature trends and continental energy storage.
The Nimrod Routing Architecture

We present a scalable internetwork routing architecture, called Nimrod. The Nimrod architecture is designed to accommodate a dynamic internetwork of arbitrary size with heterogeneous service requirements and restrictions and to admit incremental deployment throughout an internetwork. The key to Nimrod's scalability is its ability to represent and manipulate routing-related information at multiple levels of abstraction.
Development and Validation of the Activities of Daily Living Short Form for Community-Dwelling Korean Stroke Survivors

This study developed and validated a short form (SF) using activities of daily living (ADL) outcome measures from the Korea National Health and Nutrition Examination Survey (KNHANES) that can minimize survey administration burden for clinicians. This study utilized secondary data from the 2005 KNHANES with 422 community-dwelling stroke survivors. The KNHANES data were collected from April to June 2005 in South Korea. We created a 7-item SF from the 17 ADL questions in the survey using item response theory (IRT) methodologies. The precision and validity of the SF were compared to the full questionnaire of ADL items and the EuroQol-5D total score. Among the 17 ADL questions, 14 questions demonstrated unidimensional construct validity. Using IRT methodologies, a set of 7 items were selected from the full bank. The 7-item SF demonstrated good psychometric properties: high correlation with the full bank (r = .975, p < .001), good internal consistency (Cronbach’s α = .93), and a high correlation with the EuroQol-5D total score (r = .678, p < .001). These findings indicate that a well-developed SF can precisely measure ADL performance capacity for stroke survivors compared to the full item bank, which is expected to reduce the administration burden of the KNHANES.
What have we learnt from mouse models for the study of malaria?

Malaria is a serious cause of morbidity and mortality and yet a vaccine is not available. Studies have used animal models to understand the pathogenesis of disease and a large amount of data on parasite biology, immune regulation and disease processes have been gained from these studies. Moreover, these models have been used for pre‐clinical testing of various drugs and vaccines. Here, we discuss the features of various mouse models used to study the immunobiology of malaria and test pre‐clinical vaccines and conclude that animal models have a role in the study of malaria but the experimental conditions used for testing must reflect the environment of infected individuals.
The Dictionary in the Service of the State: The Dictionnaire de l'Académie Française and the Dictionnaire des termes officiels de la langue française

''he French state has long been concerned with the control of the French language, starting in the Middle Ages, continuing with the establishment of the Académie Française in 1635, then with revolutionary decrees against linguistic variation and most recently in the promulgation of laws to control use and usage (Loi BasLauriol, 1975; Loi Toubon, 1994). In 1986 the most recent edition, the ninth, of the Dictionnaire de l'AcadémieFrançaise (DAF) began appearing in fascicles, and Volume 1 was issued as a whole in 1992. In 1994, the Délégation Générale à la Langue Française produced a new edition of the collection of terms included in ministerial terminological decrees, the Dictionnaire des termes officiels de la languefrançaise (DTOLF). These both appeared at a time when government intervention in language affairs was increasing rapidly. The Loi "Toubon," officially known as the "Loi relative à l'emploi de la langue française" was passed in 1994, a law that required the use of French words in the place of borrowings when there existed a French term approved by the appropriate authorities. Both the DAF and the DTOLF were meant to serve as the
ASPD: A Prospective Study of Adequacy in Asian Patients on Long Term, Small Volume, Continuous Ambulatory Peritoneal Dialysis

Background The impact of small solute clearance on patient survival in continuous ambulatory peritoneal dialysis (CAPD) is not yet solidified. Previously, we demonstrated that CAPD using small volume (6 L) daily exchanges provides adequate dialysis for most Asian patients. Methods We conducted a prospective, long-term observational study to determine the optimal dialysis adequacy that may provide better patient survival for Asian patients who receive small-volume CAPD. We recruited 294 patients. The initial CAPD regime was 3 x 2-L exchanges daily. The same regime was maintained unless there was significant loss of ultrafiltration or fluid retention despite the use of hypertonic dialysate. Results Median study period was 38.9 (range 5 – 76.5) months, with 81% and 27% of patients remaining in the study at 24 and 48 months respectively. The overall survival rates at 2 and 4 years were 94.0% and 74.8% respectively. Our long-term data revealed that survival rate was related to Kt/V values. Survival rates were significantly higher for patients with total Kt/V > 2.0 than for patients with Kt/V < 1.7 (p = 0.02). The former group had lower body mass index and higher residual renal function and peritoneal Kt/V than the latter group. On analysis using Cox proportional hazards regression models, cardiovascular disease (CVD), lower urine volume, and higher body mass index were independent predictors of mortality. Patients with higher renal Kt/V had a significantly lower risk of mortality (RR = 0.018, p = 0.01) after adjusting for the effects of CVD and diabetes mellitus. Conclusion Our data recommend that 1.7 be the minimal target for total Kt/V in patients on long-term CAPD. Patients with high body mass index, low residual urine volume, and significant CVD need close monitoring.
Achieving High-Quality Three-Dimensional InISAR Imageries of Maneuvering Target via Super-Resolution ISAR Imaging by Exploiting Sparseness

Interferometric inverse synthetic aperture radar (InISAR) can achieve 3-D imageries of maneuvering target. However, the quality of 3-D imageries suffers from the noise and sidelobes seriously. In addition, the defocusing effect due to the nonlinear moving of the target can also bring into a bad effect for 3-D imaging. To tackle these issues, a 3-D InISAR imaging approach via compressed sensing (CS)-based super-resolution (SR) ISAR imageries is proposed. First, we establish the target sparsity-constraint optimization model containing both amplitude and phase information of scatterers. Second, a Bayesian CS approach is adopted to get high-quality SR ISAR image. The quasi-Newton solver guarantees both high amplitude and phase information recovery precision. At last, a high-quality 3-D view of the target is achieved via the conventional ISAR imagery pair interferometry technique. Computer simulation and real data experimental results verify the effectiveness of the proposed method.
An Analogical Model of Pretense

We argue that pretense can be viewed as analogical projection: a structural comparison between the pretend scenario and its real-world counterpart that leads to inferences about the pretend scenario. For example, in pretending to make a phone call with a banana, a number pad might be projected on the banana's surface. We model two empirical studies of early childhood pretense, and show how successful pretense requires making and accepting such inferences, while failed pretense can be traced to failure of such projection. Other models of pretense, both theoretical and computational, and their relationships to our model, are discussed.
Extended investigations of user-related issues in mobile industrial AR

The potential of Augmented Reality (AR) to support industrial processes has been demonstrated in several studies. While there have been first investigations on user related issues in the long-duration use of mobile AR systems, to date the impact of theses systems on physiological and psychological aspects is not explored extensively. We conducted an extended study in which 19 participants worked 4 hours continuously in an order picking process with and without AR support. Results of the study comparing strain and work efficiency are presented and open issues are discussed.
Wavelet denoising of signals based on the fourth order moment

In many applications the localization of a wireless communications transmitter is important. Localization of a mobile wireless communication unit using the time difference of arrival (TDOA) method is addressed. The localization of a GSM type emitter is enhanced by using denoised time domain signals. Denoising is obtained by thresholding the wavelet detail coefficients in time and the application of a fourth order moment criterion in scale. The performance, as a function of SNR and mean squared error for the TDOA is obtained.
Basestation 3-dimensional spatial propagation characteristics in urban microcell at 28 GHz

This paper presents a millimeter wave channel measurement in Urban Microcell (UMi) scenario at 28 GHz with a bandwidth of 400 MHz. During measuring, a steerable horn antenna is used at receiver (RX) side while an omnidirectional antenna is used at transmitter (TX) side. The horn antenna not only rotates in azimuth with a step of 5° but also points into three different vertical angles. Based on the measured data, the 3-dimensional (3D) space characteristics of the millimeter wave channel are analyzed at the basestation (BS) side, e.g., azimuth angular spread of arrival (AASA), elevation angular spread of arrival (EASA) and their clustering results, by using the Space-Alternating Generalized Expectation-maximization (SAGE) algorithm and KPowerMeans algorithm. Through comparing the power angular profiles (PAPs) of raw data (RD) and SAGE results, the dynamic range of SAGE results will increase. The positive correlation between the measured distance and EASA is also investigated here.
Structural Covariance of the Default Network in Healthy and Pathological Aging

Significant progress has been made uncovering functional brain networks, yet little is known about the corresponding structural covariance networks. The default network's functional architecture has been shown to change over the course of healthy and pathological aging. We examined cross-sectional and longitudinal datasets to reveal the structural covariance of the human default network across the adult lifespan and through the progression of Alzheimer's disease (AD). We used a novel approach to identify the structural covariance of the default network and derive individual participant scores that reflect the covariance pattern in each brain image. A seed-based multivariate analysis was conducted on structural images in the cross-sectional OASIS (N = 414) and longitudinal Alzheimer's Disease Neuroimaging Initiative (N = 434) datasets. We reproduced the distributed topology of the default network, based on a posterior cingulate cortex seed, consistent with prior reports of this intrinsic connectivity network. Structural covariance of the default network scores declined in healthy and pathological aging. Decline was greatest in the AD cohort and in those who progressed from mild cognitive impairment to AD. Structural covariance of the default network scores were positively associated with general cognitive status, reduced in APOEε4 carriers versus noncarriers, and associated with CSF biomarkers of AD. These findings identify the structural covariance of the default network and characterize changes to the network's gray matter integrity across the lifespan and through the progression of AD. The findings provide evidence for the large-scale network model of neurodegenerative disease, in which neurodegeneration spreads through intrinsically connected brain networks in a disease specific manner.