Miracle-dz/UniFAR-FTUs huggingface dataset:
Clinical and Analytical Evaluation of the Anyplex II HPV HR Detection Assay within the VALGENT-3 Framework

In 2012, VALidation of human papillomavirus (HPV) GENotyping Tests (VALGENT) was initiated to provide a formalized and uniform study framework for comparison and validation of HPV assays with genotyping capability. In VALGENT-3, the clinical and analytical performance of Anyplex II HPV HR detection (Anyplex) was compared to that of the Hybrid Capture 2 HPV DNA test (hc2) and the cobas 4800 HPV test (cobas). ABSTRACT In 2012, VALidation of human papillomavirus (HPV) GENotyping Tests (VALGENT) was initiated to provide a formalized and uniform study framework for comparison and validation of HPV assays with genotyping capability. In VALGENT-3, the clinical and analytical performance of Anyplex II HPV HR detection (Anyplex) was compared to that of the Hybrid Capture 2 HPV DNA test (hc2) and the cobas 4800 HPV test (cobas). The panel comprises 1,300 stored samples that were obtained from women 25 to 64 years old who participated in the Slovenian cancer screening program, enriched with 300 samples from women with abnormal cervical cytology. The sensitivity and specificity of Anyplex were noninferior to those of hc2, with a relative sensitivity of 1.01 (95% confidence interval [CI], 0.97 to 1.04) for cervical intraepithelial neoplasia grade 2 or worse (CIN2+) and 1.01 (95% CI, 0.97 to 1.06) for CIN3+ and relative specificity of 1.02 (95% CI, 1.00 to 1.03) for a CIN grade of ≤1. The clinical sensitivity of Anyplex for CIN2+ and CIN3+ was comparable to that of hc2 (P values for McNemar test [pMcN] of 0.655 and 0.564, respectively), but its specificity was significantly higher (pMcN = 0.008). The sensitivity and specificity of Anyplex were also noninferior to those of cobas, with relative sensitivity of 1.01 (95% CI, 0.98 to 1.04) for CIN2+ and 1.01 (95% CI, 0.99 to 1.04) for CIN3+ and relative specificity of 1.00 (95% CI, 0.99 to 1.01) (pMcN value of >0.05 in all cases). Regardless of the clinical outcome (CIN2+ or CIN3+), age restriction (women ≥30 years old), or comparator test used, Anyplex consistently showed excellent clinical performance and can be considered validated for primary cervical cancer screening.
An Improved Relative Self-Attention Mechanism for Transformer with Application to Music Generation

Music relies heavily on self-reference to build structure and meaning. We explore the Transformer architecture [27] as a generative model for music, as self-attention has shown compelling results on tasks that require long-term structure such as Wikipedia summary generation [18]. However, timing information is critical for polyphonic music, and Transformer does not explicitly model absolute or relative timing in its structure. To address this challenge, Shaw et al. [22] introduced relative position representations to self-attention to improve machine translation. However, the formulation was not scalable to longer sequences. We propose an improved formulation which reduces the memory requirements of the relative position computation from O(ld) to O(ld), where l is the length of sequences and d is the hidden size, making it possible to train much longer sequences and achieve faster convergence. In experiments on symbolic music we find that relative selfattention substantially improves sample quality for unconditioned generation and is able to generate sequences of lengths longer than those from the training set. When primed with an initial sequence, the model generates continuations that develop the prime coherently and exhibit long-term structure. Relative self-attention can be instrumental in capturing richer relationships within a musical piece 2 3.
Active Optically Controlled Broadband Terahertz Modulator Based on Fe3O4 Nanoparticles

We report an active broadband terahertz (THz) modulator based on an Fe3O4 nanoparticle/silicon (Si) structure, where the interface effects were measured in a homemade THz time-domain spectroscopy system. An approximately 100-nm Fe3O4 nanoparticle thin film on the high-resistance Si substrate was easily attained by spin-coating ferrofluids. In our experiment, a modulation depth as high as 92% was achieved at an external laser irradiance of 3.6 W/cm2. This result can be explained by the accumulation of carriers at the interface of the hybrid structure, which induces intense absorption of the THz transmission. In addition, the limit modulated frequency of the device is ∼12 kHz. The superior performance of this device for THz wave modulation in comparison to other nanomaterial-based THz modulators and the ease of fabrication both illustrate that this is a promising method in the modulation of THz transmission. Furthermore, this modulator could also potentially provide an essential component in a wide variety of technologies, such as THz communications, THz imaging, etc.
A Larger Root System Is Coupled With Contrasting Expression Patterns of Phosphate and Nitrate Transporters in Foxtail Millet [Setaria italica (L.) Beauv.] Under Phosphate Limitation

Foxtail millet [Setaria italica (L.) Beauv. ], a widely cultivated food and fodder crop, develops a smaller root system while enlarges the root diameter facilitating nutrient transport under nitrogen limitation. How foxtail millet responds to phosphate limitation (LP) remains unaddressed. LP seedlings of the sequenced variety Yugu1 had significantly lower P concentrations in both shoots and roots and displayed higher levels of anthocyanin accumulation in leaves, indicating that the seedlings suffered from P limitation under hydroponic culture. One obvious and adaptive phenotype of LP plants was the larger root system mostly as the result of stimulation of lateral root proliferation in terms of the number, density, and length. Preferential biomass accumulation in the root under LP ensured carbon provision for root expansion and resulted in significant increases in the total and specific root length, which substantially extended the absorptive surface of P in the growth medium. Elevation of auxin and gibberellin concentrations might serve as an internal boost underpinning root architectural re-patterning under LP. Not just morphological adaptation, up-regulation of expression of SiPHT1;1 and SiPHT1;4 in roots and that of SiPHT1;2 in roots and shoots preconditioned adaptive enhancement of P uptake and translocation under LP. Interestingly, internal nitrogen surpluses occurred as indicated by dramatic increases in free amino acids in LP shoots and roots and higher concentrations of nitrogen in roots. Such nitrogen surplus ‘signals’ tended to switch down expression of nitrate transporters SiNRT2.1 and SiNAR2.1 in the root and that of SiNRT1.11 and SiNRT1.12 in the shoot to reduce nitrate mobilization toward or within the shoot. Together, our work provided new insights into adaption of a critical cereal crop to LP and its innate connection with nitrogen nutrition.
Finite-Horizon Optimal Consensus Control for Unknown Multiagent State-Delay Systems

This paper investigates finite-horizon optimal consensus control problem for unknown multiagent systems with state delays. It is well known that optimal consensus control is the solutions to the coupled Hamilton–Jacobi–Bellman (HJB) equations. An off-policy reinforcement learning (RL) algorithm is developed to learn the two-stage optimal consensus solutions to the coupled time-varying HJB equations using the measurable state data instead of the knowledge of the state-delayed system dynamics. Subsequently, for each agent, a single critic neural network (NN) is utilized to approximate the time-varying cost function and help to calculate optimal consensus control policy. Based on the method of weighted residuals, adaptive weight update laws for the critic NNs are proposed. Finally, the simulation results are provided to illustrate the effectiveness of the proposed off-policy RL method.
Let Us Not Play It by Ear: Auditory Gating and Audiovisual Perception During Rapid Goal-Directed Action

Susceptibility to audiovisual illusions is altered during rapid upper-limb reaching movements. Although, this change in perception appears to be linked to the movement’s real-time characteristics, the mechanism for this alteration remains unknown. In this paper, we examined whether this modulation of multisensory perception could be explained by a decrease in auditory perceptual sensitivity. In two protocols, participants were instructed to perform rapid reaches to a visual target and report the number of auditory events (beeps) they perceived. One or 2 brief beeps were presented with either 0, 1, or 2 brief visual flashes at 0, 100, or 200 ms (protocol 1), or 0, 200, or 400 ms (protocol 2) relative to movement onset. The results revealed a significant, stable, decrease in auditory perception when the stimuli were presented during the movement, as compared to after the movement, and no-movement trials. Overall, the findings of this paper suggest that auditory perceptual sensitivity is monotonically reduced as one engages in visually guided goal-directed actions.
Vehicle Type Recognition in Surveillance Images From Labeled Web-Nature Data Using Deep Transfer Learning

Vehicle type recognition from surveillance images represents a challenging task in the domain of intelligent monitoring systems. Recently, deep learning methods have been applied to solve this problem. The existing deep learning methods, such as convolutional neural networks (CNN), assume that the training and test data are generated from the same or similar imaging systems. They also require a lot of manual annotations for each task. In this paper, we aim to create an improved deep learning method for vehicle type recognition from surveillance images and propose a system based on CNN and transfer learning. Labeled image data of different types of vehicles are easy to acquire from both vehicle manufacturers and Internet sources. Therefore, our proposed surveillance-based vehicle type recognition system is implemented using only labels from Web data. This allows us to overcome the task of manually labeling the data from surveillance images during the training phase. We need to overcome the gap in the types of vehicles between two different imaging systems. For this, a regularization technique in transfer learning is introduced to the objective function of the traditional convolutional neural network. The proposed method was verified through experiments with the public data set comprehensive cars. The experimental results demonstrate that our proposed recognition method outperforms existing deep learning methods when the training and test data are taken from different imaging systems.
Cerebral and Extracerebral Vasoreactivity in Patients With Different Clinical Manifestations of Cerebral Small‐Vessel Disease: Data From the Significance of Hemodynamic and Hemostatic Factors in the Course of Different Manifestations of Cerebral Small‐Vessel Disease Study

Endothelial dysfunction has been implicated in the pathogenesis of cerebral small‐vessel disease (SVD). Little is known about the relationship between SVD and measures of endothelium‐dependent vasodilatation and cerebral vasomotor reactivity. The aim of this study was to evaluate cerebral and extracerebral endothelial dysfunction in patients with different manifestations of SVD and to assess the relationship between endothelial dysfunction and radiologic markers of SVD.
Atypical neural modulation in the right prefrontal cortex during an inhibitory task with eye gaze in autism spectrum disorder as revealed by functional near-infrared spectroscopy

Abstract. Autism spectrum disorder (ASD) is characterized by impairment in social communication and the presence of restricted and repetitive behaviors and interests. Executive function impairment is reportedly partially responsible for these symptoms. Executive function includes planning, flexibility, and inhibitory control. Although planning and flexibility in ASD have been consistently reported as atypical, the atypicality of inhibitory control remains controversial. As most previous studies have used nonsocial stimuli to investigate inhibitory control in ASD, the effects of socially relevant information on the inhibitory control system in individuals with ASD remain unclear. Therefore, we developed a go/no-go task with gaze stimuli and measured hemodynamic responses in the right prefrontal cortex (PFC), involved in inhibitory processing in both typically developing (TD) children and children with ASD, using functional near-infrared spectroscopy. Direct gaze induced commission errors to similar extents in both groups. Contrary to the behavioral responses, neural activation in the right PFC was modulated by gaze direction only in the TD group. These findings suggest that the gaze-processing mechanisms in the prefrontal region may be affected by atypical gaze processing in other brain regions during an inhibitory control task with socially relevant information in ASD.
Hate Speech Dataset from a White Supremacy Forum

Hate speech is commonly defined as any communication that disparages a target group of people based on some characteristic such as race, colour, ethnicity, gender, sexual orientation, nationality, religion, or other characteristic. Due to the massive rise of user-generated web content on social media, the amount of hate speech is also steadily increasing. Over the past years, interest in online hate speech detection and, particularly, the automation of this task has continuously grown, along with the societal impact of the phenomenon. This paper describes a hate speech dataset composed of thousands of sentences manually labelled as containing hate speech or not. The sentences have been extracted from Stormfront, a white supremacist forum. A custom annotation tool has been developed to carry out the manual labelling task which, among other things, allows the annotators to choose whether to read the context of a sentence before labelling it. The paper also provides a thoughtful qualitative and quantitative study of the resulting dataset and several baseline experiments with different classification models. The dataset is publicly available.
Role of Androgen Receptor in Prostate Cancer: A Review

Androgen receptor (AR) is a steroid receptor transcriptional factor for testosterone and dihydrotestosterone consisting of four main domains, the N-terminal domain, DNA-binding domain, hinge region, and ligand-binding domain. AR plays pivotal roles in prostate cancer, especially castration-resistant prostate cancer (CRPC). Androgen deprivation therapy can suppress hormone-naïve prostate cancer, but prostate cancer changes AR and adapts to survive under castration levels of androgen. These mechanisms include AR point mutations, AR overexpression, changes of androgen biosynthesis, constitutively active AR splice variants without ligand binding, and changes of androgen cofactors. Studies of AR in CRPC revealed that AR was still active in CRPC, and it remains as a potential target to treat CRPC. Enzalutamide is a second-generation antiandrogen effective in patients with CRPC before and after taxane-based chemotherapy. However, CRPC is still incurable and can develop drug resistance. Understanding the mechanisms of this resistance can enable new-generation therapies for CRPC. Several promising new AR-targeted therapies have been developed. Apalutamide is a new Food and Drug Administration-approved androgen agonist binding to the ligand-binding domain, and clinical trials of other new AR-targeted agents binding to the ligand-binding domain or N-terminal domain are underway. This review focuses on the functions of AR in prostate cancer and the development of CRPC and promising new agents against CRPC.
Detecting Anomalous Behavior of Black-Box Services Modeled with Distance-Based Online Clustering

Reliable deployment of services is especially challenging in virtualized infrastructures, where the deep tech-nological stack and the multitude of components necessitate automatic anomaly detection and remediation mechanisms. Traditional monitoring solutions observe the system and generate alarms when the collected metrics exceed predefined thresholds. The fixed thresholds rely on expert knowledge and can lead to numerous false alarms, while abnormal behavior that spans over multiple metrics, components, or system layers, may not be detected. We propose to use an unsupervised online clustering algorithm to create a model of the normal behavior of each monitored component with minimal human interaction and no impact on the monitored system. When an anomaly is detected, a human administrator or automatic remediation system can subsequently revert the component into a normal state. An experimental evaluation resulted in a high accuracy of our approach, indicating that it is suitable for anomaly detection in productive systems.
Determining firm characteristics and the level of voluntary corporate governance disclosures among Malaysian listed property companies

This study examined the level of voluntary corporate governance disclosures and the influence of firm characteristics (i.e., firm size, firm age, and firm market listing) on the level of these disclosures among Malaysian property listed companies. The check-list to measure the voluntary corporate governance disclosures was adopted from Malaysian corporate governance index 2011 by Minority Shareholder Watchdog Group (MSWG). The voluntary corporate governance disclosure practices and firm specific characteristics were obtained from annual reports of property listed companies on Bursa Malaysia for the period of 2012 to 2015. The findings suggested an improving voluntary corporate governance reforms in Malaysia. However, the firm size was found as an inflicting factor in determining the level and quality of voluntary corporate governance disclosure practices. On the contrary, the results found were contradicting the hypothesis related to firm age and firm market listing, as no relation of voluntary corporate governance disclosures and firm age and firm market listing. The study has made an interesting contribution toward the disclosure and corporate governance by contributing in understanding the importance of quality disclosure and good governance practices.
Selective serotonin reuptake inhibitor use and mortality, postoperative complications, and quality of care in hip fracture patients: a Danish nationwide cohort study

Purpose To examine the association between selective serotonin reuptake inhibitor (SSRI) use and mortality, postoperative complications, and quality of in-hospital care in hip fracture patients. Patients and methods The study was a nationwide cohort study based on individual-level linked, prospectively collected data from Danish population-based national registries covering all hospitals in Denmark. The health care system in Denmark is tax-funded, and all citizens have equal access to health care services. We included patients with first-time hospitalization due to hip fracture undergoing surgery from 2006–2016. We estimated the risk of 30-day mortality, any unplanned readmission, any reoperation, specific postoperative complications including cardiovascular events and major bleeding, and quality of in-hospital care using Cox and Poisson regression analyses comparing current and former SSRI users with non-users. Results In 68,487 hip fracture patients, 13,272 (19%) were current SSRI users, 2,777 (4%) were former SSRI users, and 52,438 (77%) were SSRI non-users. The 30-day mortality risk was 13% in current SSRI users (HR 1.16, 1.10–1.21) and 12% in former (HR 1.15, 1.04–1.27) compared with 10% in non-users. The HR for any unplanned readmission was 1.11 (1.02–1.20) in current and 1.13 (1.01–1.27) in former SSRI users and for any reoperation 1.21 (1.11–1.31) in current and 1.04 (0.84–1.28) in former SSRI users compared with non-users. The risk of venous thromboembolism, myocardial infarction, stroke, and bleeding were similar irrespective of SSRI use. No association between current and former SSRI use and quality of in-hospital care was found. Conclusion In patients undergoing hip fracture surgery, 30-day mortality and overall readmission risk were elevated in both current and former SSRI users compared with non-users. Those currently using SSRI had a 26% increased reoperation risk compared with non-users. However, SSRI use was not associated with increased risk of other postoperative complications and lower quality of in-hospital care. A limitation of this study was the inability to control for potential confounding of social deprivation.
Visual outcome of cataract surgery at Gondar University Hospital Tertiary Eye Care and Training Center, North West Ethiopia

Background Globally, cataract is the leading cause of blindness which accounts for 51% of 39 million blind people. The visual rehabilitation is made through sight-restoring surgery. The patients’ postoperative visual satisfaction, vision related quality of life, ability to function in daily activities and their overall productivity mainly depend on the visual outcome. However, there are limited data on the visual outcome and its associated factors in the study area. Therefore, this study intended to evaluate the postoperative level of visual acuity to provide a baseline information regarding visual outcome and design a standardized protocol to maximize it. Methods and materials A hospital-based cross-sectional study was conducted at the Gondar University Hospital Tertiary Eye Care and Training Center on 223 patients who underwent cataract surgery, selected using simple random technique from April to June 2015. Results This study consisted of 218 patients or eyes that underwent cataract surgery. The median age of the participants was 65 years with an interquartile range of 20 years. Of 218 cataract-operated visually impaired eyes (<6/60), 26.6% of them achieved good visual acuity (≥6/18), 28.9% of them had borderline acuity (<6/18–6/60), and the remaining of 44.5% were remained as poor visual acuity (<6/60). It has been observed that the postoperative visual acuity had an association with postoperative follow up time duration (P=0.035). Conclusion In this study, the visual outcome of cataract surgery was significantly low as compared to World Health Organization’s recommendations, and it has been recognized that there is significant progression of visual acuity in different consecutive weeks.