Miracle-dz/UniFAR-FTUs huggingface dataset:
Probing Brain Activation Patterns by Dissociating Semantics and Syntax in Sentences

The relation between semantics and syntax and where they are represented in the neural level has been extensively debated in neurosciences. Existing methods use manually designed stimuli to distinguish semantic and syntactic information in a sentence that may not generalize beyond the experimental setting. This paper proposes an alternative framework to study the brain representation of semantics and syntax. Specifically, we embed the highly-controlled stimuli as objective functions in learning sentence representations and propose a disentangled feature representation model (DFRM) to extract semantic and syntactic information in sentences. This model can generate one semantic and one syntactic vector for each sentence. Then we associate these disentangled feature vectors with brain imaging data to explore brain representation of semantics and syntax. Results have shown that semantic feature is represented more robustly than syntactic feature across the brain including the default-mode, frontoparietal, visual networks, etc. The brain representations of semantics and syntax are largely overlapped, but there are brain regions only sensitive to one of them. For instance, several frontal and temporal regions are specific to the semantic feature; parts of the right superior frontal and right inferior parietal gyrus are specific to the syntactic feature.
FastGraph Enhanced: High Accuracy Automatic Indoor Navigation and Mapping

FastGraph is a novel positioning approach recently proposed to address the challenges of positioning in large spaces. Wi-Fi-based indoor positioning solutions often require complex and time-consuming deployments. Fingerprinting, as one of most used approaches, relies on a radio map, usually created by manual site survey, a process unpractical even for small spaces. Moreover, the site survey has to be repeated frequently due to the changes in the radio environment. Wi-Fi-based solutions are also frequently discarded for applications such as indoor vehicle navigation due to limited accuracy. This article introduces FastGraph Enhanced, a new version of FastGraph, able to provide high accuracy positioning, opening new fields of application, such as navigation for autonomous vehicles. In FastGraph Enhanced, the 3D Force-Directed Graph-Based method, used to model the radio environment, is extended with new algorithms, allowing to improve, among other aspects, the positioning performance. The core advantages of FastGraph are maintained, not requiring previous calibration or knowledge about the space. The proposed solution was evaluated in real world, with very significative improvements in positioning accuracy when compared with the basic version of FastGraph (from around 5m to 0.5m), and with state-of-the-art solutions.
Enabling Energy-Efficient and Reliable Neural Network via Neuron-Level Voltage Scaling

With the platforms of running deep neural networks (DNNs) move from large-scale data centers to handheld devices, power emerge as one of the most significant obstacles. Voltage scaling is a promising technique that enables power saving. Nevertheless, it raises reliability and performance concerns that may undesirably deteriorate NNs accuracy and performance. Consequently, an energy-efficient and reliable scheme is required for NNs to balance the above three aspects with satisfied user experience. To this end, we propose a neuron-level voltage scaling framework called NN-APP to model the impact of supply voltages on NNs from output accuracy (A), power (P), and performance (P) perspectives. We analyze the error propagation characteristics in NNs at both inter- and intra-network layers to precisely model the impact of voltage scaling on the final output accuracy at neuron-level. Furthermore, we combine a voltage clustering method and the multi-objective optimization to identify the optimal voltage islands and apply the same voltage to neurons with similar fault tolerance capability. We perform three case studies to demonstrate the efficacy of the proposed techniques.
Slice Bispectrogram Analysis-Based Classification of Environmental Sounds Using Convolutional Neural Network

 Abstract — Certain systems can function well only if they recognize the sound environment as humans do. In this research, we focus on sound classification by adopting a convolutional neural network and aim to develop a method that automatically classifies various environmental sounds. Although the neural network is a powerful technique, the performance depends on the type of input data. Therefore, we propose an approach via a slice bispectrogram, which is a third-order spectrogram and is a slice version of the amplitude for the short-time bispectrum. This paper explains the slice bispectrogram and discusses the effectiveness of the derived method by evaluating the experimental results using the ESC-50 sound dataset. As a result, the proposed scheme gives high accuracy and stability. Furthermore, some relationship between the accuracy and non-Gaussianity of sound signals was confirmed.
Predictability of real temporal networks

Abstract Links in most real networks often change over time. Such temporality of links encodes the ordering and causality of interactions between nodes and has a profound effect on network dynamics and function. Empirical evidence has shown that the temporal nature of links in many real-world networks is not random. Nonetheless, it is challenging to predict temporal link patterns while considering the entanglement between topological and temporal link patterns. Here, we propose an entropy-rate-based framework, based on combined topological–temporal regularities, for quantifying the predictability of any temporal network. We apply our framework on various model networks, demonstrating that it indeed captures the intrinsic topological–temporal regularities whereas previous methods considered only temporal aspects. We also apply our framework on 18 real networks of different types and determine their predictability. Interestingly, we find that, for most real temporal networks, despite the greater complexity of predictability brought by the increase in dimension, the combined topological–temporal predictability is higher than the temporal predictability. Our results demonstrate the necessity for incorporating both temporal and topological aspects of networks in order to improve predictions of dynamical processes.
A Four-Port Square Loop Antenna Integrated with Feeding Network

A low-profile pattern reconfigurable square loop antenna (SLA) is investigated. It is designed by using a single loop element with four ports over hybrid high impedance surface. The simulated and measured results show that, with different excitations, the main lobe in four quadrants and omnidirectional pattern of the presented antenna can be obtained. It exhibits wide bandwidth that covers from 4.8 to 5.48 GHz with a total size of $60\ \text{mm} \times 60\ \text{mm} \times 3.3\ \text{mm}$ . Within the bandwidth, the presented antenna has a maximum gain of 7.1 dBi at 5 GHz. A simple feeding network integrated with the presented antenna that consists of power divider and RF switches is designed for testing and realizing the steerable radiation patterns.
Observational Studies of the Effect of Medicaid on Health: Controls Are Not Enough

Covariate-adjusted cross-sectional comparisons show that Medicaid patients have worse health outcomes than other patients. We evaluate the validity of this research design for estimating the causal effect of Medicaid on mortality. Even after controlling for common covariates, Medicaid patients have worse preoperative health and lower socioeconomic status than privately insured patients. Controlling for additional variables shrinks the mortality differences but still does not eliminate imbalance in other predetermined variables. These results can be explained by fairly weak assumptions about unmeasured confounders. We conclude that cross-sectional observational methods do not produce valid causal estimates of Medicaid’s mortality effects.
All-cause mortality and causes of death in the Swiss Hepatitis C Cohort Study

With the introduction of direct-acting antiviral agents (DAA), mortality rates and causes of death among persons with hepatitis C virus (HCV) infection are likely to change over time. However, the emergence of such trends may be delayed by the relatively slow progression of chronic hepatitis C. To date, detailed analyses of cause-specific mortality among HCV-infected persons over time remain limited.We evaluated changes in causes of death among the Swiss Hepatitis C Cohort Study (SCCS) participants, from 2008 to 2016. We analysed risk factors for all-cause and cause-specific mortality, accounting for changes in treatment, fibrosis stage and use of injectable drugs over time. Mortality ascertainment was completed by linking lost-to-follow-up participants to the Swiss Federal Statistical Office (SFSO) death registry.We included 4,700 SCCS participants, of whom 478 died between 2008 and 2016. Linkage to the SFSO death registry substantially improved the information on causes of death (from 42% of deaths with unknown cause to 10% after linkage). Leading causes of death were liver failure (crude death rate 4.4/1000 person-years), liver cancer (3.4/1000 p-yrs) and non-liver cancer (2.8/1000 p-yrs), with an increasing proportion of cancer-related deaths over time. Cause-specific analysis showed that persons with sustained virologic response (SVR) were less at risk for liver-related mortality than those never treated or treated unsuccessfully.Although the expected decrease in mortality is not yet observable, causes of death among HCV-infected persons evolved over time. With the progressive widening of guidelines for DAA use, liver-related mortality is expected to decline in the future. Continued monitoring of cause-specific mortality will remain important to assess the long-term effect of DAA and to design effective interventions.Leading causes of death among persons with hepatitis C virus (HCV) infection in the Swiss Hepatitis C Cohort study evolved over the past years, with an increasing proportion of cancer-related deaths. The positive impact of new potent anti-HCV drugs on mortality among HCV-infected persons is not yet observable, due to both the slow progression of chronic hepatitis C and the progressive relaxation of guidelines for the use of those new drugs.
Prediction of adulteration of game meat using FTIR and chemometrics

Purpose Consumption of game meat is growing when compared to other meats. It is susceptible to adulteration because of its cost and availability. Spectroscopy may lead to rapid methodologies for detecting adulteration. The purpose of this study is to detect the adulteration of wild fallow deer (Dama dama) meat with domestic goat (G) (Capra aegagrus hircus) meat, for samples stored for different periods of time using Fourier transform infrared (FTIR) spectroscopy coupled with chemometric. Design/methodology/approach Meat was cut and mixed in different percentages, transformed into mini-burgers and stored at 3°C from 12 to 432 h and periodically examined for FTIR, pH and microbial analysis. Principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA) were applied to detect adulteration. Findings The PCA model, applied to the spectral region from 1,138 to 1,180, 1,314 to 1,477, 1,535 to 1,556 and from 1,728 to 1,759 cm−1, describes the adulteration using four principal components which explained 95 per cent of variance. For the levels of Adulteration A1 (pure meat), A2 (25 and 50 %w/wG) and A3 (75 and 100 %w/wG) for an external set of samples, the correlation coefficients for prediction were 0.979, 0.941 and 0.971, and the room mean square error were 8.58, 12.46 and 9.47 per cent, respectively. Originality/value The PLS-DA model predicted the adulteration for an external set of samples with high accuracy. The proposed method has the advantage of allowing rapid results, despite the storage time of the adulterated meat. It was shown that FTIR combined with chemometrics can be used to establish a methodology for the identification of adulteration of game meat, not only for fresh meat but also for meat stored for different periods of time.
Visualization of Vascular Anastomosis as Responsible Sites of Hemoptysis by Three-Dimensional Angiography for the Guidance of Endovascular Treatment

C l i n M e d International Library Citation: Nakamoto K, Hashiyada H, Fujii T, Takeshige M, Yoshida K, et al. (2015) Visualization of Vascular Anastomosis as Responsible Sites of Hemoptysis by Three-Dimensional Angiography for the Guidance of Endovascular Treatment. Int J Radiol Imaging Technol 1:004 Received: August 27, 2015: Accepted: October 20, 2015: Published: October 22, 2015 Copyright: © 2015 Nakamoto K. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Nakamoto et al. Int J Radiol Imaging Technol 2015, 1:1
Psychological Inflexibility Among Hispanic College Students: Introducing the 6-Item Acceptance and Action Questionnaire for Weight-Related Difficulties

The purpose of this study was to examine the psychometric properties of the Acceptance and Action Questionnaire for Weight-Related Difficulties (AAQW) among Hispanic college students (n = 313). Results from exploratory and confirmatory factor analyses supported a 1-factor, 6-item solution, which we call the AAQW-6. Additionally, psychological inflexibility for weight-related difficulties was associated with higher levels of disordered eating and general psychological inflexibility and lower levels of mindfulness. The AAQW-6 added to prediction of disordered eating above and beyond body mass index (BMI) and general psychological inflexibility. This study provides initial psychometric support for using the AAQW-6 with Hispanic college students. Future studies should replicate the factor structure and related psychometrics of the AAQW-6 and further determine whether it allows clinicians and researchers to predict and influence relevant behaviors in the lives of individuals across demographics, Hispanic and otherwise. El propósito de éste estudio fue el examinar las propiedades psicométricas del “Cuestionario de Aceptación y Acción para dificultades relacionadas al peso” (Acceptance and Action Questionnaire for Weight-Related Difficulties, AAQW) en estudiantes universitarios hispanos (N = 313). Los resultados de análisis factorial exploratorios y confirmatorios apoyaron una solución de un factor, seis elementos, la cual fué llamada AAQW-6. Además, la inflexibilidad psicológica de dificultades relacionadas al peso se asoció con niveles más altos de alimentación desordenada y flexibilidad psicológica general y niveles más bajos de atención plena. El AAQW-6 añadió a la predicción de la alimentación desordenada por encima del Índice de Masa Corporal (IMC) y flexibilidad psicológica general. Este estudio proporciona apoyo psicométrico inicial para el uso del AAQW-6 de seis elementos con estudiantes universitarios hispanos. Estudios futuros deben replicar la estructura de factores y la psicometría relacionada al AAQW-6 de seis elementos y determinar si permite a los clínicos e investigadores predecir e influenciar comportamientos relevantes en las vidas de individuos a través de la demografía, tanto hispana como otras.
CULTURAL MANAGEMENT EDUCATION IN SOUTHEAST ASIA

Cultural Management could be defined as the process of planning, organizing, leading, and controlling material and nonmaterial culture to meet predetermined goals and objectives. Areas under the umbrella of Cultural Management include Arts Management, Museum Management, Culture Heritage and Tourism, Cultural and Creative Industries, and Design Management. Over the last two decades, there has also been a growing number of academic programmes befitting the umbrella of Cultural Management, offered at undergraduate and postgraduate levels by institutions of higher education in Southeast Asia. This paper explores the current state of Cultural Management education in Southeast Asia, and thereafter, highlights possible synergies to align with ASEANs agenda. Several qualitative research methods were adopted, including content analysis, followed by thematic analysis, participant observations, and semi-structured interviews. This paper formally documents and discusses the Cultural Management curriculum of 10 Southeast Asian nations, using three key themes - top-down, bottom-up, and a combination of both top-down and bottom-up focus. Thereafter, the paper proposes two ways in which institutions of higher education in Southeast Asia could better synergize to meet the six strategies listed in the ASEAN Strategic Plan for Culture and Arts 2016-2025.DOI: 10.24071/ijiet.2020. 040102
Whole corn grain addition in sugarcane silage avoids fermentative losses and improves in situ degradation of silage

Sugarcane silage (SS) is generally susceptible to yeast action, resulting in dry matter losses due to high soluble carbohydrate concentration. We evaluated the effects of adding corn grain and microbial inoculant at ensiling on fermentative profile, losses, chemical composition and degradation of silages. Forty experimental silos (PVC tubing) were assigned at random to a 5 × 2 factorial arrangement with: (1) 5 corn additions at ensiling: CONT straight sugarcane silage; GC2 sugarcane with ground corn (processed through a 2 mm sieve) added at ensiling; GC8 sugarcane with ground corn (processed through an 8 mm sieve) added at ensiling; WC sugarcane with whole corn grain added at ensiling; and RCS rehydrated corn ensiled without sugarcane; and (2) 2 microbial inoculant additions at ensiling: 0 and 8 mg of commercial inoculant per kg of feed. Corn grain was added at the rate of 100 g per kg of fresh sugarcane. Adding corn grain to sugarcane at ensiling improved SS fermentation and silage chemical composition. There was no benefit from grinding the grain before adding it to sugarcane. Microbial inoculant had little effect on SS fermentation. Studies comparing corn grain with other energy sources, e.g. molasses or cassava, for addition at ensiling sugarcane seem warranted along with feeding studies with livestock to assess intake and subsequent performance. The overall benefits of adding the energy sources at ensiling versus feeding them directly to animals with untreated sugarcane silage should be determined.
A Stronger Transcription Regulatory Circuit of HIV-1C Drives the Rapid Establishment of Latency with Implications for the Direct Involvement of Tat

Over the past 10 to 15 years, HIV-1 subtype C (HIV-1C) has been evolving rapidly toward gaining stronger transcriptional activity by sequence duplication of major transcription factor binding sites. The duplication of NF-κB motifs is unique and exclusive to HIV-1C, a property not shared with any of the other eight HIV-1 genetic families. What mechanism(s) does HIV-1C employ to establish and maintain transcriptional silence despite the presence of a strong promoter and concomitant strong, positive transcriptional feedback is the primary question that we attempted to address in the present manuscript. The role that Tat plays in latency reversal is well established. Our work with the most common HIV-1 subtype, HIV-1C, offers crucial leads toward Tat possessing a dual role in serving as both a transcriptional activator and repressor at different phases of viral infection of the cell. The leads that we offer through the present work have significant implications for HIV-1 cure research. ABSTRACT The magnitude of transcription factor binding site variation emerging in HIV-1 subtype C (HIV-1C), especially the addition of NF-κB motifs by sequence duplication, makes the examination of transcriptional silence challenging. How can HIV-1 establish and maintain latency despite having a strong long terminal repeat (LTR)? We constructed panels of subgenomic reporter viral vectors with varying copy numbers of NF-κB motifs (0 to 4 copies) and examined the profile of latency establishment in Jurkat cells. Surprisingly, we found that the stronger the viral promoter, the faster the latency establishment. Importantly, at the time of commitment to latency and subsequent points, Tat levels in the cell were not limiting. Using highly sensitive strategies, we demonstrate the presence of Tat in the latent cell, recruited to the latent LTR. Our data allude, for the first time, to Tat establishing a negative feedback loop during the late phases of viral infection, leading to the rapid silencing of the viral promoter. IMPORTANCE Over the past 10 to 15 years, HIV-1 subtype C (HIV-1C) has been evolving rapidly toward gaining stronger transcriptional activity by sequence duplication of major transcription factor binding sites. The duplication of NF-κB motifs is unique and exclusive to HIV-1C, a property not shared with any of the other eight HIV-1 genetic families. What mechanism(s) does HIV-1C employ to establish and maintain transcriptional silence despite the presence of a strong promoter and concomitant strong, positive transcriptional feedback is the primary question that we attempted to address in the present manuscript. The role that Tat plays in latency reversal is well established. Our work with the most common HIV-1 subtype, HIV-1C, offers crucial leads toward Tat possessing a dual role in serving as both a transcriptional activator and repressor at different phases of viral infection of the cell. The leads that we offer through the present work have significant implications for HIV-1 cure research.
Learning from Local Perceptions for Strategic Road Development in Cambodia’s Protected Forests

Road development in tropical forest landscapes is contentious. Local preferences are often subordinated to global economic and environmental concerns. Opportunities to seek solutions based on local context are rare. We examined local perspectives on road development within Cambodia’s Keo Seima Wildlife Sanctuary to explore opportunities for optimizing conservation and development outcomes. We conducted household surveys to document the perceived benefits and risks of road development. We found that in the sanctuary, road rehabilitation may accelerate transitions to intensified agriculture and diversified, off-farm incomes. All households prefer good roads and poorer households prioritize road development over other village infrastructure. Households perceive the most prominent benefit of roads to be access to hospital. Local government authorities are responsible for controlling land use and conversion within village boundaries and are therefore highly influential in determining the social and environmental outcomes of roads. Strategies to mitigate environmental risks of roads without constraining development benefits must focus on improving local capacity for decision-making and transparency. Local institutions in tropical forest landscapes must have greater control over development benefits if they are to reinvest assets to achieve conservation success.