Miracle-dz/UniFAR-FTUs huggingface dataset:
Limiting parental interaction during vocal development affects acoustic call structure in marmoset monkeys

Lack of parental interaction leads to disturbances in marmoset calling, suggesting its crucial role in vocal development. Human vocal development is dependent on learning by imitation through social feedback between infants and caregivers. Recent studies have revealed that vocal development is also influenced by parental feedback in marmoset monkeys, suggesting vocal learning mechanisms in nonhuman primates. Marmoset infants that experience more contingent vocal feedback than their littermates develop vocalizations more rapidly, and infant marmosets with limited parental interaction exhibit immature vocal behavior beyond infancy. However, it is yet unclear whether direct parental interaction is an obligate requirement for proper vocal development because all monkeys in the aforementioned studies were able to produce the adult call repertoire after infancy. Using quantitative measures to compare distinct call parameters and vocal sequence structure, we show that social interaction has a direct impact not only on the maturation of the vocal behavior but also on acoustic call structures during vocal development. Monkeys with limited parental interaction during development show systematic differences in call entropy, a measure for maturity, compared with their normally raised siblings. In addition, different call types were occasionally uttered in motif-like sequences similar to those exhibited by vocal learners, such as birds and humans, in early vocal development. These results indicate that a lack of parental interaction leads to long-term disturbances in the acoustic structure of marmoset vocalizations, suggesting an imperative role for social interaction in proper primate vocal development.
Caching-Aware Techniques for Query Workload Partitioning in Parallel Search Engines

In this work, we propose efficient query workload partition techniques to reduce processing times of queries in parallel search engines. Existing methods cannot offer both high cache hit ratios and caching-aware load balance of the system. Aiming to solve this problem, we propose effective solutions to capture tradeoff between the cache hit ratio and load balance to reduce the total query processing time. The performance of the proposed algorithms are demonstrated by extensive experiments on real datasets, and the experimental results demonstrate that our algorithms have an efficiency improvement of up to at least 30% compared to extending current methods such as the roundrobin based algorithm and so on.
System-Level Modeling and Optimization of the Energy Efficiency in Cellular Networks—A Stochastic Geometry Framework

In this paper, we analyze and optimize the energy efficiency of downlink cellular networks. With the aid of tools from stochastic geometry, we introduce a new closed-form analytical expression of the potential spectral efficiency (bit/sec/m2). In the interference-limited regime for data transmission, unlike currently available mathematical frameworks, the proposed analytical formulation depends on the transmit power and deployment density of the base stations. This is obtained by generalizing the definition of coverage probability and by accounting for the sensitivity of the receiver not only during the decoding of information data, but during the cell association phase as well. Based on the new formulation of the potential spectral efficiency, the energy efficiency (bit/Joule) is given in a tractable closed-form formula. An optimization problem is formulated and is comprehensively studied. It is mathematically proved, in particular, that the energy efficiency is a unimodal and strictly pseudo-concave function in the transmit power, given the density of the base stations, and in the density of the base stations, given the transmit power. Under these assumptions, therefore, a unique transmit power and density of the base stations exist, which maximize the energy efficiency. Numerical results are illustrated in order to confirm the obtained findings and to prove the usefulness of the proposed framework for optimizing the network planning and deployment of cellular networks from the energy efficiency standpoint.
HIV-1 Protease, Reverse Transcriptase, and Integrase Variation

ABSTRACT HIV-1 protease (PR), reverse transcriptase (RT), and integrase (IN) variability presents a challenge to laboratories performing genotypic resistance testing. This challenge will grow with increased sequencing of samples enriched for proviral DNA such as dried blood spots and increased use of next-generation sequencing (NGS) to detect low-abundance HIV-1 variants. We analyzed PR and RT sequences from >100,000 individuals and IN sequences from >10,000 individuals to characterize variation at each amino acid position, identify mutations indicating APOBEC-mediated G-to-A editing, and identify mutations resulting from selective drug pressure. Forty-seven percent of PR, 37% of RT, and 34% of IN positions had one or more amino acid variants with a prevalence of ≥1%. Seventy percent of PR, 60% of RT, and 60% of IN positions had one or more variants with a prevalence of ≥0.1%. Overall 201 PR, 636 RT, and 346 IN variants had a prevalence of ≥0.1%. The median intersubtype prevalence ratios were 2.9-, 2.1-, and 1.9-fold for these PR, RT, and IN variants, respectively. Only 5.0% of PR, 3.7% of RT, and 2.0% of IN variants had a median intersubtype prevalence ratio of ≥10-fold. Variants at lower prevalences were more likely to differ biochemically and to be part of an electrophoretic mixture compared to high-prevalence variants. There were 209 mutations indicative of APOBEC-mediated G-to-A editing and 326 mutations nonpolymorphic treatment selected. Identification of viruses with a high number of APOBEC-associated mutations will facilitate the quality control of dried blood spot sequencing. Identifying sequences with a high proportion of rare mutations will facilitate the quality control of NGS. IMPORTANCE Most antiretroviral drugs target three HIV-1 proteins: PR, RT, and IN. These proteins are highly variable: many different amino acids can be present at the same position in viruses from different individuals. Some of the amino acid variants cause drug resistance and occur mainly in individuals receiving antiretroviral drugs. Some variants result from a human cellular defense mechanism called APOBEC-mediated hypermutation. Many variants result from naturally occurring mutation. Some variants may represent technical artifacts. We studied PR and RT sequences from >100,000 individuals and IN sequences from >10,000 individuals to quantify variation at each amino acid position in these three HIV-1 proteins. We performed analyses to determine which amino acid variants resulted from antiretroviral drug selection pressure, APOBEC-mediated editing, and naturally occurring variation. Our results provide information essential to clinical, research, and public health laboratories performing genotypic resistance testing by sequencing HIV-1 PR, RT, and IN.
A Noise-Resilient Super-Resolution Framework to Boost OCR Performance

Recognizing text from noisy low-resolution (LR) images is extremely challenging and is an open problem for the computer vision community. Super-resolving a noisy LR text image results in noisy High Resolution (HR) text image, as super-resolution (SR) leads to spatial correlation in the noise, and further cannot be de-noised successfully. Traditional noise-resilient text image super-resolution methods utilize a denoising algorithm prior to text SR but denoising process leads to loss of some high frequency details, and the output HR image has missing information (texture details and edges). This paper proposes a noise-resilient SR framework for text images and recognizes the text using a deep BLSTM network trained on high resolution images. The proposed end-to-end deep learning based framework for noise-resilient text image SR simultaneously perform image denoising and super-resolution as well as preserves missing details. Stacked sparse denoising auto-encoder (SSDA) is learned for LR text image denoising, and our proposed coupled deep convolutional auto-encoder (CDCA) is learned for text image super-resolution. The pretrained weights for both these networks serve as initial weights to the end-to-end framework during finetuning, and the network is jointly optimized for both the tasks. We tested on several Indian Language datasets and the OCR performance of the noise-resilient super-resolved images is at par with the original HR images.
Integrated low-power communication system design for wireless sensor networks

Wireless sensor network systems are now being applied by an international community for critical applications in commerce, healthcare, and security. These systems have unique characteristics and face many implementation challenges. Among all, the requirement of long operating life for a wireless sensor node under limited energy supply imposes the most severe design constraints. This calls for innovative design methodologies to address this rigorous requirement. This article first provides an overview of wireless technologies for sensor networks. It then describes communication system, circuit design, and system packaging considerations. The selection of radio architectures and circuit techniques is discussed with an emphasis on the low-power implementation and operating characteristics that match requirements of sensor network application. Finally, the design, implementation, and performance of the most challenging component, a complete low-power CMOS receiver system, is presented to demonstrate these design principles.
Impact of Marital Status on Tumor Stage at Diagnosis and on Survival in Male Breast Cancer

The effect of marital status (MS) on survival varies according to cancer type and gender. There has been no report on the impact of MS on survival in male breast cancer (MBC). This study aims to determine the influence of MS on tumor stage at diagnosis and survival in MBC. Men with MBC ≥18 years of age in the SEER database from 1990 to 2011 were included in the study. MS was classified as married and unmarried (including single, divorced, separated, widowed). Kaplan–Meier method was used to estimate the 5-year cancer-specific survival. Multivariate regression analyses were done to determine the effect of MS on presence of Stage IV disease at diagnosis and on cancer-specific mortality. The study included 3,761 men; 2,647 (70.4%) were married. Unmarried men were more often diagnosed with Stage IV MBC compared with married (10.7% vs. 5.5%, p < .001). Unmarried men (compared with married) were significantly less likely to undergo surgery (92.4% vs. 96.7%, p < .001). Overall unmarried males with Stages II, III, and IV MBC have significantly worse 5-year cancer-specific survival compared with married. On multivariate analysis, being unmarried was associated with increased hazard of death (HR = 1.43, p < .001) and increased likelihood of Stage IV disease at diagnosis (OR = 1.96, p < .001). Unmarried males with breast cancer are at greater risk for Stage IV disease at diagnosis and poorer outcomes compared with married males.
Primary Burkitt’s lymphoma of the thyroid without Epstein-Barr virus infection: A case report and literature review

Primary thyroid lymphomas are rare, and the majority are B-cell lymphoma. Primary Burkitt’s lymphoma (BL) of the thyroid is much less common than the other types of lymphoma. The current study presents the case of an eight-year-old male with a mass in the right lobe of the thyroid, which was detected by B-ultrasound. The patient was diagnosed with BL by immunohistochemistry, fluorescence in situ hybridization analysis of MYC (8q24) and immunoglobulin rearrangement assays. Furthermore, subsequent positron emission tomography-computed tomography scans revealed no abnormal metabolites in the left lobe of the thyroid or in other parts of the body following surgery. The patient underwent alternate R-B-NHL-BFM-90-A and R-B-NHL-BFM-90-B treatment for four cycles each following the thyroidectomy. The patient is well and remains free of disease recurrence following almost four years follow-up. The present study discusses this rare case of primary BL of the thyroid and presents a review of the literature. This case report provides evidence that the immediate diagnosis and treatment of primary Burkitt’s lymphoma of the thyroid is likely to improve patient outcome.
Biological signaling pathways and potential mathematical network representations: biological discovery through optimization

Establishing the role that different genes play in the development of cancer is a daunting task. A step toward this end is the detection of genes that are important in the illness from high‐throughput biological experiments. Furthermore, it is safe to say that it is highly unlikely that these show expression changes independently, even with a list of potentially important genes. A biological signaling pathway is a more plausible underlying mechanism as favored in the literature. This work attempts to build a mathematical network problem through the analysis of microarray experiments. A preselection of genes is carried out with a multiple criteria optimization framework previously published by our research group . Afterward, application of the Traveling Salesperson Problem and Minimum Spanning Tree network optimization models are proposed to identify potential signaling pathways via the most correlated path among the genes of interest. Biological evidencing is provided to assess the effectiveness of the proposed methods. The capability of our analysis strategy is also demonstrated through the undertaking of meta‐analysis studies. Three important aspects are novel in this work: (1) our joint analyses of different groups of lung cancer states reveal new correlations, biologically evidenced, and previously undocumented; (2) computation of the correlation coefficients from expression differences leads to an effective use of network optimization methods; and (3) the methods yield mathematically optimal correlation structures: no other configuration is better correlated using the available information.
Comparison of variable-flux PMSG for extended speed-range based on magnet arc-length to pole-pitch ratio

This paper discusses voltage regulation (VR) of PMSG for a wind energy conversion system (WECS) under varying wind conditions. Mechanical flux-variation technique (MFV) has been used for VR of a kaman-type dual-stator axial-flux PMSG at above rated rotor/wind speed extending the speed­range of generator. An experimental test-bed has been set up to implement MFV in the generator and subsequently, the implications of proposed technique on the performance of generator has been analyzed. Total harmonic injected in generator output due to proposed technique has been calculated by FFT analysis and compared for two types namely, sinusoidal and trapezoidal back-emf characteristics.
Robust Edge-Preserved Surface Mesh Polycube Deformation

The problem of polycube construction or deformation is an essential problem in computer graphics. In this paper, we present a robust, simple, efficient and automatic algorithm to deform the meshes of arbitrary shapes into their polycube ones. We derive a clear relationship between a mesh and its corresponding polycube shape. Our algorithm is edge-preserved, and works on surface meshes with or without boundaries. Our algorithm outperforms previous ones in speed, robustness, efficiency. Our method is simple to implement. To demonstrate the robustness and effectiveness of our method, we apply it to hundreds of models of varying complexity and topology. We demonstrat that our method compares favorably to other state-of-the-art polycube deformation methods.
Race Differences in Initial Presentation, Early Treatment, and 1-year Outcomes of Pediatric Crohn's Disease: Results from the ImproveCareNow Network.

BACKGROUND Racially disparate care has been shown to contribute to suboptimal health care outcomes for minorities. Using the ImproveCareNow network, we investigated differences in management and outcomes of pediatric patients with Crohn's disease at diagnosis and 1-year postdiagnosis. METHODS ImproveCareNow is a learning health network for pediatric inflammatory bowel disease. It contains prospective, longitudinal data from outpatient encounters. This retrospective study included all patients with Crohn's disease ≤21 years, September 2006 to October 2014, with the first recorded encounter ≤90 days from date of diagnosis and an encounter 1 year ±60 days. We examined the effect of race on remission rate and treatment at diagnosis and 1 year from diagnosis using t-tests, Wilcoxon rank-sum tests, χ statistic, and Fisher's exact tests, where appropriate, followed by univariate regression models. RESULTS Nine hundred seventy-six patients (Black = 118 (12%), White = 858 (88%), mean age = 13 years, 63% male) from 39 sites were included. Black children had a higher percentage of Medicaid insurance (44% versus 11%, P < 0.001). At diagnosis, Black children had more active disease according to physician global assessment (P = 0.027), but not by short Pediatric Crohn's Disease Activity Index (P = 0.67). Race differences in treatment were not identified. Black children had lower hematocrit (34.8 versus 36.7, P < 0.001) and albumin levels (3.6 versus 3.9, P = 0.001). At 1 year, Black children had more active disease according to physician global assessment (P = 0.016), but not by short Pediatric Crohn's Disease Activity Index (P = 0.06). CONCLUSIONS Black children with Crohn's disease may have more severe disease than White children based on physician global assessment. Neither disease phenotype differences at diagnosis nor treatment differences at 1-year follow-up were identified.
A Systematic Review of the Availability and Efficacy of Countermeasures to Internal Threats in Healthcare Critical Infrastructure

Insider attacks are becoming increasingly detrimental and frequent, affecting critical infrastructure at a massive scale. Recent attacks such as the U.K. National Health Service WannaCry ransomware attack which partly depends on internal users for initial infection highlight the increasing role of the malicious insiders in cyber-attack campaigns. The objective of this research is to ascertain the existing technological capability to mitigate insider threats within computer security systems by way of a mixed-method systematic review. Evidence was acquired from major sources of mainstream and grey literature by analyzing about 300 000 papers. Crude aggregated results were analyzed across the literature, and the results were TPR 0.75, FPR 0.32, $\sigma ~0.24$ and 0.36, respectively, and $\sigma ^{2}~0.06$ and 0.13, respectively. In totality, the literature evidence suggests that there is high heterogeneity across crude data indicating that the effectiveness of security measures varies significantly. No solution is able to totally mitigate an insider threat. Themes when set against that data suggest that most, if not all, security measures require breaches to occur before an analysis of malicious activity can prevent it in future through recall. Such a reactive approach is not effective to protect our critical infrastructure including our healthcare systems. Consequently, there is a major theoretical shortfall in current cyber defence architecture.
Influence of Nanofillers on the Colour Stability of Acrylic Resin

Background. During the use of acrylic denture base polymers, an undesirable colour change may occure. This can be connected with aging of the resins, influence of oral cavity environment and diet habits of patients. Objectives. The aim of this study was to investigate the effect of selected nanofillers addition to acrylic resin on the colour change after storage in coffee and tea solutions. Material and Methods. Samples used in this study were made of hot-curing acrylic resin non-modified and modified with adding 0.5% one of three different nanofillers: hydrophobic silica aerosil r 812 (evonic), silver zeolite alphaSan (Milliken) and trifluoroehtyl methacryle (aldrich) which were mixed with polymer powder. after polymerization the samples were immersed in coffee or tea solutions and distilled water (control group). colour change was measured after one month, 6 months and one year of storage using a X rite spectrophotometer and calculated in l, a, b scale for determining delta e parameter. Results. coffee had a great influence on the colour change of the non-modified samples stored after one year. Delta e was achieved greater than 3.8. acrylic resin samples modified with hydrophobic silica aerosil r 812 has shown the smallest colour change in all tested solutions. Conclusions. Hot-curing acrylic resin can be improved by addition of hydrophobic nanofiller. This kind of material can be more resistant to staining (Dent. Med. Probl. 2012, 49, 1, 35–39).
Smoking by Young Women With Restrained Eating Following a Food Prime in the Context of an Alternative Distractor

Female smokers with elevated dietary restraint (high restrainers) may smoke more than nonrestrained eaters after a disinhibiting food event. The current study aimed to determine whether high restrainers smoke merely to distract themselves from unplanned eating or whether the weight-control aspects of smoking play a role. Primary aims were to test the effect of restraint status and a food prime on smoking and eating behavior in the presence of an alternative distractor (a computer tablet) and to examine the role of expectancies. Utilizing a between-subject design, female smokers (N = 128) were randomized to receive a milkshake prime (Prime condition) or not (No-Prime). They then received access to tempting foods, cigarettes, and the computer tablet. As expected, higher dietary restraint predicted shorter latency to smoke and craving to smoke but not latency to use the tablet. Additionally, a pattern of proximal expectancy subscales associated with weight/appetite control predicted cigarette consumption. Neither restraint nor expectancies interacted with condition to predict smoking behavior. Findings suggest that dietary restrainers attempt to prevent food consumption by turning to cigarettes, beyond preference for other salient distracting stimuli. Thus, smoking appears to function as more than simply a distractor from eating, and it is also associated with strong beliefs about weight and appetite control. Results offer implications for assessment and intervention among individuals presenting for smoking cessation treatment, particularly young adult women. Specifically, assessment of dietary restraint and expectancies related to weight and appetite aspects of smoking may be important to consider for tailored interventions.