Miracle-dz/UniFAR-FTUs huggingface dataset:
A noise smoothing origin ensemble algorithm based on local filtering

An origin ensemble (OE) image reconstruction algorithm can be used for the fast reconstruction of unconventional geometrical images, e.g. in a Compton camera (CC) system. Due to the low-count rate in the emission data, the reconstructed image is often noisy and inhomogeneous in density. In this study, we propose a way to smooth out the noise in the OE algorithm. During the OE reconstruction, the algorithm stochastically modifies the current location to a random new voxel along the probable corresponding curve of each event depending on the relative event density of the new and old locations. In the original OE technique, the event density is simply the number of events in the voxel. In the proposed method, the event density is estimated from the filtering of a kernel window centered on the voxel. Incorporating the regional filtering is similar to performing an OE algorithm on a smoothed image at each iteration and enables the reconstruction of a smoother image. A Flangeless Esser PET phantom and a multi-activity phantom are used to study the property of the new reconstruction algorithm. The results indicate that the proposed method performs better than a conventional OE algorithm in terms of normalized mean square error (NMSE) and structural similarity (SSIM). Both contrast noise ratio (CNR) and reconstruction accuracy of the new method are better than the conventional OE algorithm and their performances improve with the increase of object size. The median-OE possesses the highest overall image quality and recovery rate among the three filter-OE algorithms and is the method of choice for image reconstruction. Comparing to conventional post-smoothing OEs, the NMSE of median-OE improves 57.6% (46.9%) and the SSIM increased by 73.2% (51.1%) for the Esser (multi-activity) phantom. The proposed OE algorithm is simple and efficient for noise smoothing without complex calculations and highly suited for low-count cases.
Towards the Recognition of the Emotions of People with Visual Disabilities through Brain–Computer Interfaces

A brain–computer interface is an alternative for communication between people and computers, through the acquisition and analysis of brain signals. Research related to this field has focused on serving people with different types of motor, visual or auditory disabilities. On the other hand, affective computing studies and extracts information about the emotional state of a person in certain situations, an important aspect for the interaction between people and the computer. In particular, this manuscript considers people with visual disabilities and their need for personalized systems that prioritize their disability and the degree that affects them. In this article, a review of the state of the techniques is presented, where the importance of the study of the emotions of people with visual disabilities, and the possibility of representing those emotions through a brain–computer interface and affective computing, are discussed. Finally, the authors propose a framework to study and evaluate the possibility of representing and interpreting the emotions of people with visual disabilities for improving their experience with the use of technology and their integration into today’s society.
FW-Touch: A Finger Wearable Haptic Interface With an MR Foam Actuator for Displaying Surface Material Properties on a Touch Screen

The haptic interface plays an increasingly important role in enhancing the realism and immersion of the user's interaction with the touch screen. Inspired by the wearable haptic system, this paper proposes a finger wearable device called FW-Touch for touch screen interaction. The device provides normal force, lateral force, and vibrotactile feedback for the interaction of the finger and the touch screen through three internally integrated actuators. By displaying the hardness, friction, and roughness of a virtual surface, the device is capable of simulating the active exploration and sensing process of the finger on a real surface. This paper describes the design and specifications of the FW-Touch, and details the design process of a magnetorheological (MR) foam actuator that uses a Hall sensor to correct the output force. Through physical measurements and psychophysical experiments, we comprehensively evaluated the force feedback performance of the FW-Touch and its ability in displaying the stiffness and friction of the virtual surface. The results show that improving the accuracy of force feedback is necessary for virtual stiffness display, and the accuracy and effectiveness of the FW-Touch in displaying virtual surface features can be confirmed from the measured stiffness and friction Weber fractions.
Multi-Method Analysis

Multi-Method Analysis (MMA) can be understood as an interdisciplinary approach to the triangulation of research results or deepening of knowledge gained as a result of classical hypotheses testing by means of statistical analysis. In this case, the synergy effect obtained by using MMA as a combination of the quantitative (survey research) and qualitative (In-Depth Interviews – IDI) analysis is presented. To achieve the empirical bases of the study, a theoretical model is used as a marketing management example. The model refers to firm performance as a result of customer lifetime value management. The essence of the case study is to present the whole research to illustrate the researcher’s way of thinking from conceptual model development through quantitative hypothesis testing and qualitative explanation. The research was conducted from 2012 – 2013 in the insurance industry in Poland.
Adapting fit indices for Bayesian structural equation modeling: Comparison to maximum likelihood.

In a frequentist framework, the exact fit of a structural equation model (SEM) is typically evaluated with the chi-square test and at least one index of approximate fit. Current Bayesian SEM (BSEM) software provides one measure of overall fit: the posterior predictive p value (PPP χ2 ). Because of the noted limitations of PPP χ2 , common practice for evaluating Bayesian model fit instead focuses on model comparison, using information criteria or Bayes factors. Fit indices developed under maximum-likelihood estimation have not been incorporated into software for BSEM. We propose adapting 7 chi-square-based approximate fit indices for BSEM, using a Bayesian analog of the chi-square model-fit statistic. Simulation results show that the sampling distributions of the posterior means of these fit indices are similar to their frequentist counterparts across sample sizes, model types, and levels of misspecification when BSEMs are estimated with noninformative priors. The proposed fit indices therefore allow overall model-fit evaluation using familiar metrics of the original indices, with an accompanying interval to quantify their uncertainty. Illustrative examples with real data raise some important issues about the proposed fit indices' application to models specified with informative priors, when Bayesian and frequentist estimation methods might not yield similar results. (PsycINFO Database Record (c) 2019 APA, all rights reserved).
ZBTB46, SPDEF, and ETV6: Novel Potential Biomarkers and Therapeutic Targets in Castration-Resistant Prostate Cancer

Prostate cancer (PCa) is the second most common killer among men in Western countries. Targeting androgen receptor (AR) signaling by androgen deprivation therapy (ADT) is the current therapeutic regime for patients newly diagnosed with metastatic PCa. However, most patients relapse and become resistant to ADT, leading to metastatic castration-resistant PCa (CRPC) and eventually death. Several proposed mechanisms have been proposed for CRPC; however, the exact mechanism through which CRPC develops is still unclear. One possible pathway is that the AR remains active in CRPC cases. Therefore, understanding AR signaling networks as primary PCa changes into metastatic CRPC is key to developing future biomarkers and therapeutic strategies for PCa and CRPC. In the current review, we focused on three novel biomarkers (ZBTB46, SPDEF, and ETV6) that were demonstrated to play critical roles in CRPC progression, epidermal growth factor receptor tyrosine kinase inhibitor (EGFR TKI) drug resistance, and the epithelial-to-mesenchymal transition (EMT) for patients treated with ADT or AR inhibition. In addition, we summarize how these potential biomarkers can be used in the clinic for diagnosis and as therapeutic targets of PCa.
Macronutrient Intake in Soccer Players—A Meta-Analysis

The nutrition of soccer players is an important topic and its knowledge may help to increase the quality of this popular game and prevent possible health problems and injuries in players. This meta-analysis aims to estimate the current dietary trends of three basic macronutrients in junior and senior soccer players during the first two decades of the 21st century. We analyzed data from 647 junior players (mean age 10.0–19.3) from 27 groups, and 277 senior (mean age 20.7–27.1) players from 8 groups from altogether 21 papers in this meta-analysis. Weighted averages were calculated for each macronutrients. Protein intake is higher than recommended in both juniors, 1.9 95% confidence interval (CI) 1.8–2.0 g/kg/day, and seniors 1.8 95% CI 1.6–2.0 g/kg/day. However, carbohydrate intake is still below the recommended values in both groups (5.7 95% CI 5.5–5.9 g/kg/day in junior and 4.7 95% CI 4.3–5.0 g/kg/day in senior players). The proportion of fat as total energy intake is in concordance with the recommendations (31.5 95% CI 32.0–35.9% in junior and 33.1 95% CI 29.9–36.2% in senior players). In particular, due to possible health complications, the small carbohydrate intake should be alarming for coaches, nutritional experts, and parents.
The Toxic Triad: Childhood Exposure to Parental Domestic Violence, Parental Addictions, and Parental Mental Illness as Factors Associated With Childhood Physical Abuse

Childhood physical abuse can result in serious behavioral, mental health, and physical health conditions. There is a need for improved strategies to identify households in which childhood physical abuse occurs. This article explores three potential correlates of childhood physical abuse: childhood exposure to parental domestic violence, parental addictions, and parental mental illness. Secondary analyses were conducted using the regionally representative 2010 Brief Risk Factor Surveillance Survey (BRFSS) of adults (n = 9,241 men, n = 13,627 women) and the analyses were replicated in the 2012 BRFSS (n = 11,656 men, n = 18,145 women). Bivariate and logistic regression analyses were conducted. Approximately one-quarter of the sample was Hispanic and/or Non-White. In 2010, 78.3% of men who had been exposed to all three of these early adversities reported that they had experienced childhood physical abuse compared with 7.5% of males who did not experience these adversities. Women reported similar levels of childhood physical abuse (66.9% for those reporting all three factors, 5.9% for those with zero risk factors). The 2012 BRFSS analyses resulted in comparable findings. Domestic violence, even in the absence of parental addictions and mental illness, was associated with a high prevalence of childhood physical abuse (between 34% and 38%). Currently, the World Health Organization cautions against routine screening for child abuse due to the high rate of false positives. We propose a two-step strategy to improve targeting: first, identifying households in which two or more adversities exist, and subsequently screening children in these households. Our findings will help improve the targeting of screening and outreach efforts to children most at risk, thereby minimizing the risk of false positives. Our data provide support for universal screening for childhood physical abuse in cases of domestic violence, particularly for those families where parental addictions and/or parental mental illness also exist.
Cross-species Convergence in Pupillary Response: Understanding Human Anxiety via Non-Human Primate Amygdala Lesion.

Few studies have used matched affective paradigms to compare humans and non-human primates. In monkeys with amygdala lesions and youth with anxiety disorders, we examined cross-species pupillary responses during a saccade-based, affective attentional capture task. Given evidence of enhanced amygdala function in anxiety, we hypothesized that opposite patterns would emerge in lesioned monkeys and anxious participants. 53 unmedicated youths (27 anxious, 26 healthy) and eight adult male rhesus monkeys (Macaca mulatta) completed matched behavioral paradigms. Four monkeys received bilateral excitotoxic amygdala lesions and four served as unoperated controls. Compared to healthy youth, anxious youth exhibited increased pupillary constriction in response to emotional and non-emotional distractors (F(1,48)=6.28, p=. 02, η2p=0.12). Pupillary response was associated significantly with anxiety symptoms severity (F(1,48)=5.59, p=. 02, η2p=0.10). As hypothesized, lesioned monkeys exhibited the opposite pattern i.e., decreased pupillary constriction in response to distractors, compared to unoperated control monkeys (F(1,32)=24.22, p<. 001, η2=0.33). Amygdala lesioned monkeys and youth with anxiety disorders show opposite patterns of pupil constriction in the context of an affective distractor task. Such findings suggest the presence of altered amygdala circuitry functioning in anxiety. Future lesion and human neuroimaging work might examine the way in which specific amygdala sub-nuclei and downstream circuits mediate these effects.
Intra-species variation and geographic differentiation among the populations of the quarantine agricultural pest leucinoides orbonalis (lepidoptera: Crambidae) in the global assemblage – a prospective of DNA barcoding

Abstract Leucinodes orbonalis Guenée is serious quarantine pest occurring globally, studies are needed to enlighten the genetic complexities associated with the species. India is considered to be the origin of the L. orbonalis, therefore availability of species records from this region enable to analyse the genetic differences and dispersal of the lineages. The results of the study reported 47 haplotypes in four clusters pertaining to their ancestral lineage. The transition/transversion bias (R) was observed to be higher with 1.238 and 1.312 in the first and third codon positions respectively. The overall intraspecies divergence was found to be 0.302. AMOVA revealed that the total variations were then as reported 67.15 among the south-east countries but our studies reported the total variation to be 77.25% (Germany, India, South east and Australia). FST and Mantel’s test indicated that there was no correlation between the genetic variation and geographical distance. The overall haplotype diversity was 0.852, where the nucleotide diversity of H31 (0.00593) was highest and H1 (0.00087) was lowest. The genetic diversity indices Tajima D and Fu's Fs static for H1, H13 and H31 had negative values which possibly inferred for the bottle neck effect. The ML tree was constituted the branch length of 5.0157 with one out-group. The tree was formed with ten distinctive clades with the haplotypes congregated together based on similar genetic composition.
BarkBase: Epigenomic Annotation of Canine Genomes

Dogs are an unparalleled natural model for investigating the genetics of health and disease, particularly for complex diseases like cancer. Comprehensive genomic annotation of regulatory elements active in healthy canine tissues is crucial both for identifying candidate causal variants and for designing functional studies needed to translate genetic associations into disease insight. Currently, canine geneticists rely primarily on annotations of the human or mouse genome that have been remapped to dog, an approach that misses dog-specific features. Here, we describe BarkBase, a canine epigenomic resource available at barkbase.org. BarkBase hosts data for 27 adult tissue types, with biological replicates, and for one sample of up to five tissues sampled at each of four carefully staged embryonic time points. RNA sequencing is complemented with whole genome sequencing and with assay for transposase-accessible chromatin using sequencing (ATAC-seq), which identifies open chromatin regions. By including replicates, we can more confidently discern tissue-specific transcripts and assess differential gene expression between tissues and timepoints. By offering data in easy-to-use file formats, through a visual browser modeled on similar genomic resources for human, BarkBase introduces a powerful new resource to support comparative studies in dogs and humans.
Optical Fiber Gratings Immunoassays

Optical fibers are of growing interest for biosensing, especially for point-of-care and biomedical assays. Their intrinsic properties bestow them sought-after assets for the detection of low concentrations of analytes. Tilted fiber Bragg gratings (TFBGs) photo-inscribed in the core of telecommunication-grade optical fibers are known to be highly-sensitive refractometers. In this work, we present different strategies to use them for label-free immunoassays. Bare, gold-sputtered, gold-electroless-plated (ELP) and hybrid configurations are biofunctionalized with antibodies, aiming at the detection of cancer biomarkers. We discuss the relative performances of the tested configurations and show that each leads to singular key features, which therefore drives their selection as a function of the target application. The most sensitive configuration presents a limit of detection of 10−12 g/mL in laboratory settings and was successfully used ex vivo in freshly resected lung tissues.
Effects of prophylactic administration of glutamine on CD4+ T cell polarization and kidney injury in mice with polymicrobial sepsis.

This study investigated the effects of glutamine (GLN) pretreatment on CD4+ T cell polarization and remote kidney injury in mice with gut-derived polymicrobial sepsis. Mice were randomly assigned to 3 groups: normal control fed with AIN-93G diet, and 2 sepsis groups provided with either AIN-93G-based diet or identical components except part of casein was replaced by GLN. Mice were given their respective diets for 2 weeks. Then, mice in the sepsis groups were performed with cecal ligation and puncture and were sacrificed at 72 h after the surgery. Blood, spleens and kidneys were collected for further examination. The results showed that sepsis resulted in decreased circulating and splenic total T lymphocyte and CD4+ T cell percentages, whereas interleukin (IL)-4-, and Foxp3-expressing CD4+ T cells percentages were upregulated. Compared to the sepsis control group, pretreatment with GLN maintained blood T and CD4+ T cells, reduced percentages of IL-4- and Foxp3-expressing CD4+ T cells. Also, a more pronounced activation and increased anti-apoptotic Bcl-2 gene expression of splenic CD4+ T cells were observed. Concomitant with the decreased plasma IL-6, keratinocyte-derived chemokine (KC) levels, the gene expression of KC, macrophage inflammatory protein-2 and renal injury biomarker Kim-1 were down-regulated when GLN was administered. These findings suggest that antecedent of GLN administration elicit a more-balanced blood T helper cell polarization, sustained T cell populations, prevented splenic CD4+ T cell apoptosis and attenuated kidney injury at late phase of polymicrobial sepsis. GLN may have benefits in subjects in risk of abdominal infection.
Feeding Aspergillus protease preparation combined with adequate protein diet to rats increases levels of cecum gut-protective amino acids, partially linked to Bifidobacterium and Lactobacillus

ABSTRACT Our recent study indicated that dietary Aspergillus oryzae-derived protease preparation (AP), through its enzymatic activity, exerted a bifidogenic effect in rats. We hypothesized that dietary AP links to protein degradation and subsequently elevates gut-protective amino acids (AAs) in rats fed adequate protein diet. In this study, dietary AP markedly increased the relative abundance of Bifidobacterium and Lactobacillus and the levels of free threonine, alanine, proline, taurine, ornithine, phenylalanine, cystine, and γ-aminobutyric acid in the cecum contents of rats fed with an adequate protein diet, but not in those fed with a low-protein diet. The elevated AAs, except ornithine and phenylalanine, potentially have gut-related health benefits. Some of the AP-modulated free AAs appeared to be associated with the relative abundance of Bifidobacterium and Lactobacillus. Thus, AP combined with adequate protein diet is likely to increase the levels of cecum beneficial free AAs, which is partially associated with the relative abundance of the probiotics. GRAPHICAL ABSTRACT Aspergillus protease preparation with adequate protein diet increases levels of gut protective amino acids associated with Bifidobacterium and Lactobacillus.
Effect of race on the relationship between child maltreatment and obesity in Whites and Blacks

Abstract This cross-sectional study was designed to determine what role race plays in the relationship between obesity and child maltreatment (CM), which is currently unknown. One hundred fifteen participants successfully completed the study, including Whites (n = 60) and Blacks (n = 55) of both sexes. CM was assessed using the Childhood Trauma Questionnaire. Total fat, trunk/total fat ratio, visceral adipose tissue (VAT), and VAT/trunk ratio, were measured through Dual Energy X-ray Absorptiometry (DXA) and Corescan software estimation. A significant interaction between identifying as White and having a history of CM was found to predict body mass index (BMI) (β = 5.02, p = .025), total fat (kg) (β = 9.81, p = .036), and VAT (kg) (β = 0.542, p = .025), whereas race by itself was an insignificant predictor. An interaction between having history of physical abuse and identifying as White was found to predict BMI (β = 6.993, p = .003), total fat (β = 12.683, p = .010), and VAT (β = 0.591, p = .018). An interaction between having multiple CM subtypes and identifying as White predicts increased total fat (β = 5.667, p = .034) and VAT (β = 0.335, p = .014). Our findings indicate that the relationship between CM and obesity, measured through BMI, total body fat, and VAT, is seen in Whites but not in Blacks. Future research should investigate the nature of this racial influence to guide obesity prevention and target at-risk populations.
Classification of Human Motions Using Micro-Doppler Radar in the Environments with Micro-Motion Interference

Human motion classification based on micro-Doppler effect has been widely used in various fields. However, the motion classification performance would be greatly degraded if the wireless environment has non-target micro-motion interference. In this case, the interference signal aliases with the signal of target human motions and then generates cross-terms, making the signals hard to be used to identify target human motions. Existing methods do not consider this non-target micro-motion interference and have poor resistance to such interference. In this paper, we propose a target human motion classification system that can work in the scenarios with non-target micro-motion interference. Specifically, we build a continuous wave radar transceiver working in a low-frequency radar band using the software defined radio equipment Universal Software Radio Peripheral (USRP) N210 to collect signals. Moreover, we use Empirical Mode Decomposition and S-transform successively to remove non-target micro-motion interference and improve the time-frequency resolution of the raw signal. Then, an Energy Aggregation method based on S-method is proposed, which can suppress cross-terms and background noise. Furthermore, we extract a set of features and classify four human motions by adopting Bagged Trees. Extensive experiments using the test-bed show that under the scenarios with non-target micro-motion interference, 97.3% classification accuracy can be achieved.