Miracle-dz/UniFAR-FTUs huggingface dataset:
LncRNALUADT1 is overexpressed in colorectal cancer and its expression level is related to clinicopathology.

OBJECTIVE LncRNAs participate in the proliferation, apoptosis, and invasion of colorectal cancer. We aimed at investigating the uncovered effect of lncRNALUADT1 on colorectal cancer. PATIENTS AND METHODS The relative expression level of lncRNALUADT1 in tumor specimen was tested by Real-time quantitative PCR. The association of lncRNALUADT1 with clinical pathological data was analyzed by univariate, multivariate Cox and Kaplan-Meier curve. RESULTS LncRNALUADT1 expression was up-regulated in colorectal cancer, and correlated with tumor size, metastasis, and TNM staging. Both univariate analysis and multivariate test indicated that lncRNALUADT1 high expression, TNM staging, and lymph node metastasis were closely related. Moreover, high expression of lncRNALUADT1 suggested the poor overall survival of patients. CONCLUSIONS LncRNA LUADT1 might contribute to the development of colorectal cancer.
Effects of Word Embeddings on Neural Network-based Pitch Accent Detection

Pitch accent detection often makes use of both acoustic and lexical features based on the fact that pitch accents tend to correlate with certain words. In this paper, we extend a pitch accent detector that involves a convolutional neural network to include word embeddings, which are state-of-the-art vector representations of words. We examine the effect these features have on within-corpus and cross-corpus experiments on three English datasets. The results show that while word embeddings can improve the performance in corpus-dependent experiments, they also have the potential to make generalization to unseen data more challenging.
Ordered Escape Routing with Consideration of Differential Pair and Blockage

Ordered escape routing is a critical issue in high-speed PCB routing. Differential pair and thermal-blockage-avoided are useful in PCB design to obtain high noise immunity and low electromagnetic interference. In this article, a Min-cost Multi-commodity Flow (MMCF) approach is proposed to solve the ordered escape routing. First, the characteristic of grid pin array and staggered pin array is analyzed and then a basic network model is used to convert ordered escape routing to MMCF model. To satisfy the constraints of ordered escape routing, three novel transformations, such as non-crossing transformation, ordering transformation, and capacity transformation, are used to convert the basic network model to the final correct MMCF model. After that, the differential pair in ordered escape routing is discussed. Finally, a method to deal with the blockage issue is proposed. Experimental results show that our method achieves 100% routability for all the test cases. The method can get both a feasible solution and an optimal solution for ordered escape routing. Compared to published approaches, our method improves in both wire length and CPU time remarkably. At the same time, the proposed method can effectively avoid the blockage and deal with the differential pair.
Combined Electrophysiological and Behavioral Evidence for the Suppression of Salient Distractors

Researchers have long debated how salient-but-irrelevant features guide visual attention. Pure stimulus-driven theories claim that salient stimuli automatically capture attention irrespective of goals, whereas pure goal-driven theories propose that an individual's attentional control settings determine whether salient stimuli capture attention. However, recent studies have suggested a hybrid model in which salient stimuli attract visual attention but can be actively suppressed by top–down attentional mechanisms. Support for this hybrid model has primarily come from ERP studies demonstrating that salient stimuli, which fail to capture attention, also elicit a distractor positivity (PD) component, a putative neural index of suppression. Other support comes from a handful of behavioral studies showing that processing at the salient locations is inhibited compared with other locations. The current study was designed to link the behavioral and neural evidence by combining ERP recordings with an experimental paradigm that provides a behavioral measure of suppression. We found that, when a salient distractor item elicited the PD component, processing at the location of this distractor was suppressed below baseline levels. Furthermore, the magnitude of behavioral suppression and the magnitude of the PD component covaried across participants. These findings provide a crucial connection between the behavioral and neural measures of suppression, which opens the door to using the PD component to assess the timing and neural substrates of the behaviorally observed suppression.
Modeling Complex Relationship Paths for Knowledge Graph Completion

Determining the validity of knowledge triples and filling in the missing entities or relationships in the knowledge graph are the crucial tasks for large-scale knowledge graph completion. So far, the main solutions use machine learning methods to learn the low-dimensional distributed representations of entities and relationships to complete the knowledge graph. Among them, translation models obtain excellent performance. However, the proposed translation models do not adequately consider the indirect relationships among entities, affecting the precision of the representation. Based on the long short-term memory neural network and existing translation models, we propose a multiple-module hybrid neural network model called TransP. By modeling the entity paths and their relationship paths, TransP can effectively excavate the indirect relationships among the entities, and thus, improve the quality of knowledge graph completion tasks. Experimental results show that TransP outperforms state-of-the-art models in the entity prediction task, and achieves the comparable performance with previous models in the relationship prediction task. key words: knowledge graph completion, knowledge representation learning, knowledge graph
Evaluation of different dietary alterations in their ability to mitigate the incidence and severity of woody breast and white striping in commercial male broilers

ABSTRACT The following study was conducted to define how multiple nutritional strategies affect broiler performance, meat yield, and the presence and severity of white striping (WS) and woody breast (WB) in high‐yielding broilers. Relative to a commercial set of reference broiler diets (Commercial reference diet; Trt 1) that were fed in a 4‐phase program, the following nutritional strategies were investigated: increasing the ratio of digestible arginine: digestible lysine (dArg: dLys ranged from 113 to 126; Trt 2), supplementing Trt 1 with 94.4 mg vitamin C/kg feed (Trt 3), doubling the vitamin pack inclusion rate (Trt 4), reducing the digestible amino acid density (dAA) of only the grower phase by 15% and feeding the same Trt 1 starter, finisher, and withdraw diets (Trt 5), and combining the 4 strategies just mentioned (Trt 6). There was no difference in performance at the end of the starter phase (P = 0.066); however, at the end of the grower and finisher phases, feeding lower dAA grower diets suppressed BW (Trts 5 and 6; P < 0.001) and increased FCR. Differences in performance amongst all treatments disappeared at day 49 (P = 0.220). No differences were observed in average breast weight (P = 0.188); however, breast yield (as a % of live weight) was greatest for Trt 1 and least for Trt 6 (P = 0.041). The WB score dropped from 1.83 in Trt 1 to 1.49, 1.27, 1.74, 1.53, and 1.43 in treatments 2 to 6, respectively (P = 0.018). These changes were the result of a shift in WB score, where the WB class that contained scores of 2 and 3 shifted from 61.3% in Trt 1 to 49.3, 35.9, 60.0, 50.8, and 38.7 in treatments 2 to 6, respectively. Given the FCR, breast weight data and the fact that high WB scores result in a devaluation of breast meat, feeding a higher ratio of dArg: dLys, higher vitamin C, or lower dAA in the grower phase results in better breast meat quality and value.
Transactional sex and incident HIV infection in a cohort of young women from rural South Africa

Objective: In sub-Saharan Africa, young women who engage in transactional sex (the exchange of sex for money or gifts) with a male partner show an elevated risk of prevalent HIV infection. We analyse longitudinal data to estimate the association between transactional sex and HIV incidence. Design: We used longitudinal data from a cohort of 2362 HIV-negative young women (aged 13–20 years) enrolled in a randomized controlled trial in rural, South Africa who were followed for up to four visits over 6 years. Methods: The effect of transactional sex on incident HIV was analysed using stratified Cox proportional hazards models and cumulative incidence curves. Risk ratios were estimated using log-binomial models to compare the effects across visits. Results: HIV incidence was higher for young women that reported transactional sex (hazard ratio 1.59, 95% confidence interval 1.02–2.19), particularly when money and/or gifts were received frequently (at least weekly) (hazard ratio 2.71, 95% confidence interval 1.44–5.12). We also find that effects were much stronger during the main trial and dissipate at the postintervention visit, despite an increase in both transactional sex and HIV. Conclusion: Transactional sex elevates the risk of HIV acquisition among young women, especially when it involves frequent exchanges of money and/or gifts. However, the effect was attenuated after the main trial, possibly due to the changing nature of transactional sex and sexual partners as women age. These findings suggest that reducing transactional sex among young women, especially during adolescence, is important for HIV prevention.
Complex-Valued Fully Convolutional Networks for MIMO Radar Signal Segmentation

SUMMARY Radar is expected in advanced driver-assistance systems for environmentally robust measurements. In this paper, we propose a novel radar signal segmentation method by using a complex-valued fully convolutional network (CvFCN) that comprises complex-valued layers, real-valued layers, and a bidirectional conversion layer between them. We also propose an e ﬃ cient automatic annotation system for dataset generation. We apply the CvFCN to two-dimensional (2D) complex-valued radar signal maps (r-maps) that comprise angle and distance axes. An r-maps is a 2D complex-valued matrix that is generated from raw radar signals by 2D Fourier transformation. We annotate the r-maps automatically using LiDAR measurements. In our experiment, we semantically segment r-map signals into pedestrian and background regions, achieving accuracy of 99.7% for the background and 96.2% for pedestrians.
Occurrence and antimicrobial susceptibility of Campylobacter spp. on fresh and refrigerated chicken meat products in Central Italy

Abstract This study investigated the presence and the level of Campylobacter spp. contamination in 41 thigh samples (with skin) and 37 skinless breast samples collected at the end of slaughter (T1) and after 10 day period at refrigeration temperature (4°C) (T2), corresponding to their commercial shelf life. The isolates were phenotypically classified as Campylobacter spp. and successively identified by conventional multiplex PCR. The antimicrobial susceptibility of the isolates from fresh thigh and breast samples was also determined via the microdilution method (MIC) in Eucamp microtitre plates with known scalar concentrations of: gentamicin (GEN), streptomycin (ST), ciprofloxacin (CIP), tetracycline (TET), erythromycin (ERY), and nalidixic acid (NA). A greater percentage of positivity for Campylobacter spp. (P < 0.001) was observed in thighs and C.jejuni appeared to be the most common species identified at this level (P < 0.001) followed from its association with C.coli. There was a global reduction of Campylobacter spp. in both thigh and breast samples at T2 (P < 0.001) showing that the refrigeration was able to reduce Campylobacter count. The prevalence of resistance to CIP, TET, NA, and ERY was evidenced for C.jejuni and C. coli. The co (TET‐NA, CIP‐NA) and multiple resistant (CIP‐TET‐NA, CIP‐TET‐ NA‐ERY) isolates came from the thigh products. It should be highlighted the presence of Campylobacter spp. isolates resistant to ST occurred in breast samples, responsible for the ST‐CIP co‐resistance and ST‐CIP‐TE multi‐resistance profiles, higher in breast than in thigh products (P > 0.001). The presence of Campylobacter isolates resistant to ST can be further investigated since it is used for therapeutic treatment of several bacterial diseases in humans
Autophagy May Protect Against Parenteral Nutrition-Associated Liver Disease by Suppressing Endoplasmic Reticulum Stress.

BACKGROUND The objectives of this study were to address the role of autophagy in the pathogenesis of parenteral nutrition (PN)-associated liver disease (PNALD) and its possible mechanism in vivo. METHODS Five-week-old male Sprague Dawley rats were fed Shoobree chow (Xietong Organism, Jiangsu, China) and administered intravenous 0.9% saline (sham group), PN (PN group), PN plus rapamycin (1 mg/kg; PN + Rapa group), or rapamycin (Rapa group) for 7 days. Before and after study, body weight, biochemical indicators, hepatic histology, level of autophagy, hepatocyte apoptosis, reactive oxygen species (ROS), and endoplasmic reticulum (ER) stress indicators including binding immunoglobulin protein (BIP), spliced X-box-binding protein-1 (sXBP1), and CCAAT-enhancer-binding protein homologous protein (CHOP) were measured. RESULTS Autophagy was suppressed in the PNALD model, which was demonstrated by less light chain 3 fluorescence (LC3) puncta and lower LC3II expression. Rapamycin effectively induced hepatic autophagy in PN rats. The PN + Rapa group presented improved hepatic function, decreased pathology scores, and less steatosis than the PN group. In addition, rapamycin treatment decreased terminal deoxynucleotidyl transferase dUTP nick end labeling and cleaved-caspase 3 expression, indicating a lower level of hepatocyte apoptosis. Compared with the PN group, the PN + Rapa group had lower levels of ROS and reduced expression of ER stress-related protein markers, such as BIP, sXBP1 and CHOP. CONCLUSIONS Autophagy was suppressed in the PNALD model. Rapamycin treatment induced autophagy and protected against PNALD, possibly by suppressing ROS-induced ER stress.
User's Manual for LINER: FORTRAN Code for the Numerical Simulation of Plane Wave Propagation in a Lined Two-Dimensional Channel

LINER is a system of Fortran 77 codes which performs a 2D analysis of acoustic wave propagation and noise suppression in a rectangular channel with a continuous liner at the top wall. This new implementation is designed to streamline the usage of the several codes making up LINER, resulting in a useful design tool. Major input parameters are placed in two main data files, input.inc and nurn.prm. Output data appear in the form of ASCII files as well as a choice of GNUPLOT graphs. Section 2 briefly describes the physical model. Section 3 discusses the numerical methods; Section 4 gives a detailed account of program usage, including input formats and graphical options. A sample run is also provided. Finally, Section 5 briefly describes the individual program files.
The Role of Peroxisome Proliferator-Activated Receptors and Their Transcriptional Coactivators Gene Variations in Human Trainability: A Systematic Review

Background: The peroxisome proliferator-activated receptors (PPARA, PPARG, PPARD) and their transcriptional coactivators’ (PPARGC1A, PPARGC1B) gene polymorphisms have been associated with muscle morphology, oxygen uptake, power output and endurance performance. The purpose of this review is to determine whether the PPARs and/or their coactivators’ polymorphisms can predict the training response to specific training stimuli. Methods: In accordance with the Preferred Reporting Items for Systematic Reviews and Meta Analyses, a literature review has been run for a combination of PPARs and physical activity key words. Results: All ten of the included studies were performed using aerobic training in general, sedentary or elderly populations from 21 to 75 years of age. The non-responders for aerobic training (VO2peak increase, slow muscle fiber increase and low-density lipoprotein decrease) are the carriers of PPARGC1A rs8192678 Ser/Ser. The negative responders for aerobic training (decrease in VO2peak) are carriers of the PPARD rs2267668 G allele. The negative responders for aerobic training (decreased glucose tolerance and insulin response) are subjects with the PPARG rs1801282 Pro/Pro genotype. The best responders to aerobic training are PPARGC1A rs8192678 Gly/Gly, PPARD rs1053049 TT, PPARD rs2267668 AA and PPARG rs1801282 Ala carriers. Conclusions: The human response for aerobic training is significantly influenced by PPARs’ gene polymorphism and their coactivators, where aerobic training can negatively influence glucose metabolism and VO2peak in some genetically-predisposed individuals.
Knowledge and Attitudes Regarding HPV and Vaccination Among Chinese Women Aged 20 to 35 Years in Fujian Province

The use of the human papillomavirus (HPV) vaccine was recently approved in Mainland China. This study determined the knowledge and attitudes of young women aged 20 to 35 years in Fujian Province, China, with regard to HPV and vaccination and explored the potential factors influencing their attitudes toward HPV vaccination. This was a cross-sectional study that collected data regarding the knowledge on and attitudes toward HPV and vaccination using questionnaires. Furthermore, the prevalence of HPV was determined from the sampled participants. A total of 1001 young women were included in the survey. This study demonstrated that the HPV prevalence rate was 15.7% (157/1001). Among all patients, 44.9% (n = 449) had heard of HPV; however, detailed knowledge about HPV was lacking. The majority (83.7%) expressed a willingness to be vaccinated. Specifically, knowledge of the dangers of HPV infection was significantly associated with the willingness to be vaccinated. In this study, women cited some concerns and expressed high expectations for the HPV vaccine, but the costs of vaccination reduced their willingness to be vaccinated. This study found that most patients did not have a detailed knowledge of HPV. Thus, there is a need for continued HPV promotion and education efforts, especially on the dangers of HPV infection, among young women aged 20 to 35 years in Fujian Province, China. Furthermore, it is important to subsidize the costs of vaccination for promoting vaccination campaigns in China.
ScienceDirect 7 th International conference on Intelligent Human Computer Interaction , IHCI 2015 Bispectral Analysis of EEG for Emotion Recognition

Emotion recognition from electroencephalogram (EEG) signals is one of the most challenging tasks. Bispectral analysis offers a way of gaining phase information by detecting phase relationships between frequency components and characterizing the nonGaussian information contained in the EEG signals. In this paper, we explore derived features of bispectrum for quantification of emotions using a Valence-Arousal emotion model; and arrive at a feature vector through backward sequential search. Crossvalidated accuracies of 64.84% for Low/High Arousal classification and 61.17% for Low/High Valence were obtained on the DEAP data set based on the proposed features; comparable to classification accuracies reported in the literature. c © 2015 The Authors. Published by Elsevier B.V. Peer-review under responsibility of the Scientific Committee of IHCI 2015.
Transforming the Snapdragon Aurone Biosynthetic Genes into Petunia Alters Coloration Patterns in Transgenic Flowers

Aurones belong to a small class of flavonoids that provide yellow color in some floricultural plants including snapdragon. To explore novel flower coloration, two full-length cDNAs encoding chalcone 4'-O-glucosyltransferase (designated as SRY4'CGT) and aureusidin synthase (designated as SRYAS1) in the aurone biosynthetic pathway were cloned from yellow flowers of snapdragon (Antirrhinum majus cv. Ribbon Yellow). Binary vectors were constructed and transformed separately into Petunia hybrida harboring blue flowers. Only a few flowers in 4 out of 9 transgenic SRY4'CGT plants showed variegated blue-white sectors; as time passed, amounts of variegated flowers and proportion of white sectors in the background blue color of the new-born flowers gradually increased, until finally, the petal color was completely white in all late-born flowers. In contrast, a few flowers in 3 out of 13 transgenic SRYAS1 plants showed variegated blue-white sectors; but, the amounts of variegated flowers did not increase over the whole flowering stage, and no complete white flowers were observed. RNA samples isolated from blue and white sectors of T_1 transgenic SRY4'CGT plants were analyzed by reverse transcription-PCR, transgenic SRY4'CGT transcripts were detected in both sectors; however, transcripts of an upstream gene, chalcone synthase (CHS), were abundantly detected in the blue sectors but largely reduced in the white sectors, suggesting that the expression of CHS gene was suppressed in white sectors of transgenic plants. Furthermore, HPLC coupled with mass spectrometry demonstrated cyandin, malvidin and their derivatives were absent in white sectors, causing the white phenotype. Our findings may be attractive to molecular breeders.
ERK Mutations and Amplification Confer Resistance to ERK-Inhibitor Therapy

Purpose: MAPK pathway inhibitors targeting BRAF and MEK have shown clinical efficacy in patients with RAF- and/or RAS-mutated tumors. However, acquired resistance to these agents has been an impediment to improved long-term survival in the clinic. In such cases, targeting ERK downstream of BRAF/MEK has been proposed as a potential strategy for overcoming acquired resistance. Preclinical studies suggest that ERK inhibitors are effective at inhibiting BRAF/RAS-mutated tumor growth and overcome BRAF or/and MEK inhibitor resistance. However, as observed with other MAPK pathway inhibitors, treatment with ERK inhibitors is likely to cause resistance in the clinic. Here, we aimed to model the mechanism of resistance to ERK inhibitors. Experimental Design: We tested five structurally different ATP-competitive ERK inhibitors representing three different scaffolds on BRAF/RAS-mutant cancer cell lines of different tissue types to generate resistant lines. We have used in vitro modeling, structural biology, and genomic analysis to understand the development of resistance to ERK inhibitors and the mechanisms leading to it. Results: We have identified mutations in ERK1/2, amplification and overexpression of ERK2, and overexpression of EGFR/ERBB2 as mechanisms of acquired resistance. Structural analysis of ERK showed that specific compounds that induced on-target ERK mutations were impaired in their ability to bind mutant ERK. We show that in addition to MEK inhibitors, ERBB receptor and PI3K/mTOR pathway inhibitors are effective in overcoming ERK-inhibitor resistance. Conclusions: These findings suggest that combination therapy with MEK or ERBB receptor or PI3K/mTOR and ERK inhibitors may be an effective strategy for managing the emergence of resistance in the clinic. Clin Cancer Res; 24(16); 4044–55. ©2018 AACR.