Miracle-dz/UniFAR-FTUs huggingface dataset:
Effects of Automated Conflict Cuing and Traffic Density on Air Traffic Controller Performance and Visual Attention in a Datalink Environment

Proposals to enhance the efficiency and capacity of the air traffic control system involve new technologies such as automated decision aids and datalink that could create additional demands for the limited visual attentional resources of controllers. This study investigated whether automated multimodal conflict cues could mitigate these demands, particularly under high-traffic load. Measures of conflict detection performance and eye movements were obtained from full performance controllers in a simulated air traffic control task with datalink. It was hypothesized that multimodal cuing would improve advance notification of conflicts and lead to earlier detection than purely visual cuing by better guiding visual attention. High-traffic density had significantly negative effects on performance. However, although cuing enhanced performance, no specific benefit of multimodal cuing for performance or visual attention was found. Implications for controller visual attention and for the design of automated decision aids are discussed.
Development of Sound Source Localization System using Explicit Adaptive Time Delay Estimation

The problem of sound source localization is to determine the position of sound sources using the measurement of the acoustic signals received by microphones. To develop a good sound source localization system which is applicable to a mobile platform such as robots, a time delay estimator with low computational complexity and robustness to background noise or reverberations is necessary. In this paper, an explicit adaptive time delay estimation method for a sound source localization system is proposed. Proposed explicit adaptive time estimation algorithm employs direct adaptation of the delay parameter using a transform-based optimization technique, rather than a gradient-search-based optimization. This new adaptation method shows less computational burden, fast tracking performance for non-stationary signals, more robustness to reverberant environment. Performance of the proposed method is shown through computer simulations.
Embedded passives integrated circuits for power converters

In power conversion the passive components (capacitors, transformers and inductors) determine the size. By their integration significant improvement are possible. We have developed the new emPIC (embedded passives integrated circuit) concept for a high integration of power converters. All passive components will be integrated in the PCB (printed circuit board) by using structured layers of different material. It is being realised in a German consortium consisting of Philips Research, Isola (PCB material supplier), Straschu, Ruwel (PCB manufacturers) and university support. As a first step to the complete emPIC circuit, a demonstrator with PCB integrated capacitive layers was designed and fabricated by the consortium. This publication gives an overview of the vailable technologies and shows the results of the first demonstrator.
VWind: Virtual Wind Sensation to the Ear by Cross-Modal Effects of Audio-Visual, Thermal, and Vibrotactile Stimuli

In the field of virtual reality, wind displays have been researched to present wind sensation. However, since the wind displays need physical wind sources, large heat transfer mechanisms are required to produce hot wind and cold wind. We propose to present virtual wind sensation by cross-modal effects. We developed VWind, a wearable headphone-type device to give vibrotactile and thermal stimuli to the ear in addition to visual scenarios and binaural sounds. For user experience, the demonstrations are prepared to present virtual wind sensation as if users were blown to the ear or exposed to freezing winds.
Expression and Prognosis of HER Family in Breast Cancer

Human epidermal growth factor receptor (HER) family belongs to the transmembrane protein receptor family of the tyrosine kinase I subfamily and has been determined to be closely related to the clinicopathological characteristics of various tumors and the poor prognosis of tumor patients. However, the different expression patterns of the four HER family genes and their correlation with cancer immune infiltrate have not been analyzed. In this article, we analyzed the expression level of the HER family in breast cancer patients through Oncomine and Interactive Analysis of Gene Expression Profiles (GEPIA). We found that the expression levels of ERBB2 and ERBB3 in invasive breast cancer (BCRA) tissues were higher than those in normal breast tissues, while the expression levels of EGFR in the former were lower than those in the latter. Using the Tumor Immunity Estimation Resource (TIMER) database to study the correlation between the HER family and breast cancer immune infiltrates shows that the expression of the HER family is significantly associated with tumor purity and the level of infiltration of various immune cells. This study laid the foundation for further exploration of the molecular mechanism of the HER family in breast cancer.
Controlling Eye Blink for Talking Face Generation via Eye Conversion

A real talking face video includes not only the movement of the mouth, but also realistic blinking details. For a computer generated talking face video, realistic eye movements are critical to overcome the uncanny valley effect. However, it remains a great challenge to introduce realistic eye movements into talking face generation systems. In this paper, we propose a two-stage system for generating talking face video with realistic controllable blinking actions. Through eye conversion and frame replacement, our architecture can ensure the controllability of the blinking motion generation. We propose an eye conversion GAN, which can convert a face image into any stages of blinking, and maintain the consistency of facial identity features. In this network, we design joint training to increase the network’s ability of generating closed and half-closed eye images, which improves the authenticity of the eyes. Experiments on two popular data sets show that compared with previous work, our method can not only guarantee the authenticity of mouth movements, but also generate realistic and controllable eye blinks.
Cellular Similarity based Imputation for Single cell RNA Sequencing Data

Single cell RNA sequencing (scRNA-seq) technology can study gene expression in single cell resolution and solve cell heterogeneity that cannot be solved by the traditional RNA sequencing (Bulk RNA-seq) technology. It provides a powerful analytical tool for in-depth study of the immune, regulatory, replication, and other activities of cells and explanations of life activities rules. However, single cell sequencing experiments are hindered by several technical issues, which cause output scRNA-seq with a high percentage of zeros (dropout events), impacting the reliability of downstream analyses. Therefore, a great number of computational methods have been proposed to address the increased sparsity observed in scRNA-seq data. In this paper, motivated by the image denoising method, we propose an imputation algorithm CSI based on the similarity between cells. The cell similarity is considered as the weight to average the gene expression values to impute the missing values in the data. CSI achieves better accuracy than other the 7 publicly notable scRNA-seq imputation methods on some real scRNA-seq data, especially gains better performance in some downstream analysis such as cluster analysis and pseudo trajectory inference.
resnetCox: A Residual Neural Network Method for High-throughput Survival Analysis

The Cox proportional hazards model is usually used in medical research for analyzing the association between the survival time of patients and one or more predictor variables. However, nonlinear, high-dimensional, low-sample size survival data cause computational challenges in survival analysis. An artificial neural network (ANN) is used for modeling nonlinear problems. A residual neural network is a specific type of neural network. In this paper, we build Cox proportional hazards model based on a residual neural network architecture, which we call it resnetCox model. The residual mapping of the resnetCox is two layers of fully connected network. The identity mapping of the resnetCox is a linear projection of inputs. The model is trained with the negative log likelihood of Cox model by Adam optimizer. It is implemented on the PyTorch in Python. We demonstrate the performance of resnetCox on BRCA, LUAD, KIRC and LUSC datasets from The Cancer Genome Atlas. We compare it with the other 3 models and experiments show that resnetCox has better performance than others in prediction accuracy and biological relevance.
Augmented Reality Technology for People Living with Dementia and their Care Partners

We designed and implemented an Augmented Reality system, called the My Daily Routine (MDR) system, to demonstrate technology that may aid people living with dementia and their care partners. Although people with dementia are often dependent on their care partners in their daily lives, their independence may be enhanced using Augmented Reality. The MDR system consists of a website and a HoloLens Augmented Reality (AR) application. The care partner can display and customize reminder content using the website. When wearing a Microsoft HoloLens AR device running MDR, a person with dementia will be able to receive personalized reminders in the form of text, images, videos, displayed three dimensional models, voice messages, or music. Customization controls the choice of reminders and their timing; for example, reminders can be issued when an object is detected, at a certain time, or when a command is voiced. MDR can also display the names of common objects and navigation instructions. Through use of the HoloLens’ powerful spatial mapping capabilities and Microsoft’s experimental World Locking Tools, the indoor navigation system in MDR is accurate and easy to set up.
VR-Wizard: Towards an Emotion-Adaptive Experience in VR

In this research, we investigate the impact of real-time biofeedback-based emotion adaptive Virtual Reality (VR) environments on the immersiveness, game engagement, and flow state using physiological information such as Electroencephalogram (EEG), Electrodermal Activity (EDA), and Heart Rate Variability (HRV). For this, we designed VR-Wizard, a personalized emotion-adaptive VR game akin to a Harry Potter experience with an objective to collect items in the forbidden forest. The users initially train the system through a calibration process. Next, they explore the forest with adapting environmental factors based on a ’MagicMeter’ indicating the user’s real-time emotional states. The overall goal is to provide more personalized, immersed, and engaging emotional virtual experiences.
Nachtalb: A multisensory Neurofeedback VR-Interface

Nachtalb is an immersive interface that enables brain-to-brain interaction using multisensory feedback. With the help of the g.tec Unicorn Hybrid Black brain-computer-interface (BCI), brain-activity-data is measured and translated visually with the Oculus Quest 2, tactilely with the bHaptics TactSuit and auditorily with 3D Sound. This intends to create a feedback loop that turns brain activity from data-input into sensory output which directly influences the brain activity data-input again.
Peeking Into the Black Box: Towards Understanding User Understanding of E2EE

End-to-end encryption (E2EE) has become available to end users, but they need to understand the nature and limitations of the protection it offers to benefit in terms of protection. Attempts to explain cryptography in general, and E2EE in particular, to non-specialists have had limited success – in part because they tried to convey detailed expert knowledge. Metaphors are a way to communicate the benefits and limitations more compactly, and support the construction of functional mental models. Previous research that attempted to do this for E2EE reported mixed results, but offered no detailed insight into how participants constructed their understanding and which aspects of particular metaphors helped or hindered their functional understanding. We repeated the previous experiment in form of a qualitative interview study with 12 participants (all users of messaging apps) and used detailed questions to better understand why the participants rated the security properties of E2EE correctly or incorrectly, and how the metaphors had been interpreted and applied. Therefore, we are able to describe to what extent, and how, the metaphors for E2EE changed participants’ understanding of the security properties. We found that participants inferred the security properties of E2EE partly from the metaphors, but also from existing beliefs, for instance about the trustworthiness of providers. While the metaphors improved the assessment about confidentiality, they did not correct misconceptions about authenticity. Based on our findings we recommend the development and testing of interventions aimed at the process of changing mental models and correcting persistent misconceptions.
CFIm25 regulates human stem cell function independently of its role in mRNA alternative polyadenylation

It has recently been shown that CFIm25, a canonical mRNA 3’ processing factor, could play a variety of physiological roles through its molecular function in the regulation of mRNA alternative polyadenylation (APA). Here, we used CRISPR/Cas9-mediated gene editing approach in human embryonic stem cells (hESCs) for CFIm25, and obtained three gene knockdown/mutant cell lines. CFIm25 gene editing resulted in higher proliferation rate and impaired differentiation potential for hESCs, with these effects likely to be directly regulated by the target genes, including the pluripotency factor rex1. Mechanistically, we unexpected found that perturbation in CFIm25 gene expression did not significantly affect cellular mRNA 3’ processing efficiency and APA profile. Rather, we provided evidences that CFIm25 may impact RNA polymerase II (RNAPII) occupancy at the body of transcribed genes, and promote the expression level of a group of transcripts associated with cellular proliferation and/or differentiation. Further study indicated that CFIm25 association with LEO1, an RNAPII associated factor, might contribute to the effect. Taken together, these results reveal novel mechanisms underlying CFIm25’s modulation in determination of cell fate, and provide evidence that the process of mammalian gene transcription may be regulated by an mRNA 3’ processing factor.
AMAW: automated gene annotation for non-model eukaryotic genomes

Summary To support small and large-scale genome annotation projects, we present AMAW (Automated MAKER2 Annotation Wrapper), a program devised to annotate non-model unicellular eukaryotic genomes by automating the acquisition of evidence data (transcripts and proteins) and facilitating the use of MAKER2, a widely adopted software suite for the annotation of eukaryotic genomes. Moreover, AMAW exists as a Singularity container recipe easy to deploy on a grid computer, thereby overcoming the tricky installation of MAKER2. Availability AMAW is released both as a Singularity container recipe and a standalone Perl script (https://bitbucket.org/phylogeno/amaw/). Contact lmeunier@uliege.be or luc.cornet@sciensano.be Supplementary information Supplementary data are available at Bioinformatics online.
Novel compact microstrip interdigital bandstop filters.

A novel compact microstrip interdigital band-stop filter is designed and implemented. The structure is similar to that of an interdigital capacitor. The input port and output ports are connected to form the bandstop characteristic. This proposed filter with microstrip interdigital geometry not only exhibits good bandstop characteristics and a tunable central frequency, but it also is easy to fabricate and integrate. The features of this microstrip interdigital bandstop filter are smaller than those of the conventional bandstop filter. Simulation results closely correspond to the experiments.
Tailored sustainability assessment for urban masterplanning

Tailored sustainability assessment represents one approach to addressing sustainability issues on large-scale urban projects with varying geographical, social and political constraints and diverse incentives among stakeholders. This paper examines the value and limitations of this approach. Three case studies of tailored systems developed by the authors for three unique masterplanning projects are discussed in terms of: contextual sustainability drivers; nature and evolution of systems developed; outcomes of implementation; and overall value delivered. Analysis Leads to conclusions on the key features of effective tailored assessment, the value of tailored sustainability assessment from various perspectives (including client, designer, end-users and the environment), and the limitations of tailored assessment as a tool for comparative analysis between projects. Although systems considered here are specific to individual projects and developed commercially, the challenges and lessons learned are relevant t.
MOS device modeling at 77 K

The state of the art in self-consistent numerical low-temperature MOS modeling is reviewed. The physical assumptions that are required to describe carrier transport at low ambient temperatures are discussed. Particular emphasis is placed on the models for space charge (impurity freeze-out), carrier mobility (temperature dependence of scattering mechanisms at a semiconductor-insulator interface), and carrier generation-recombination (impact ionization). The differences with regard to the numerical methods required for the solution of low-temperature models compared to room-temperature models are explained. Typical results obtained with the simulator MINIMOS 4 are presented. These include comparisons of short-channel effects and hot-electron phenomena such as energy relaxation and avalanche breakdown at 77 K and 300 K ambient temperatures. >
High efficiency compact ground station antenna using displaced ellipse reflector

present article demonstrates the design of a mobile ground station terminal using a offset dual reflector antenna geometry called axially displaced ellipse (ADE). ADE configuration provides a compact geometry and superior efficiency particularly when size of the reflector is small. This ground station antenna has been designed for receiving data from IRS satellites in X- band . A directivity of 46.1 dBi with an efficiency of 75% has been achieved without any shaping to meet the desired G/T requirement for the ground station. It is shown that ADE configuration can be a very good candidate not only for space craft antennas but also for small mobile ground station terminals.
Soil classification in a seismically active environment based on join analysis of seis mic parameters

BACKGROUND AND OBJECTIVES: Soil or rock properties where buildings are situated play an important role in the ground shaking caused by an earthquake. The highly populated Banda Aceh city in the northernmost Sumatra is flanked by two active faults, the Seulimeum and the Aceh segment. Therefore, it is crucial to investigate the subsurface characteristics of the region to reduce the earthquake risk as there was no regional study has been conducted so far. METHODS: Characteristics of the soil or rock of the subsurface were derived from various seismic parameters. The seismic microtremors were recorded at 36 sites covering the highly populated city and the two active faults. The spatial autocorrelation method was used to obtain a dispersion curve based on the relationship between seismic frequencies and phase velocity from triangular geophones array to determine the shear wave velocity of the subsurface layer. The seismic amplification, dominant frequency and vulnerability value at each measurement point were measured using the horizontal-to-vertical spectral ratio method. The maps of velocity structure and HVSR parameters were generated from the interpolation of those seismic parameters. FINDINGS: Based on the variation of the four geophysical parameters: shear wave velocity, seismic amplification, dominant frequency, and seismic vulnerability, the study area can be clustered into five different groups: I) Banda Aceh, II) Jantho, III) Krueng Raya, IV) Lhoknga-Lhoong, and V) Seulawah, which classify the different types of rocks. The classification of soil properties from the combination of shear wave and horizontal-to-vertical spectral ratio data correlates with the geology of the study area. CONCLUSION: The Banda Aceh city, flanked by the two active faults, is characterized by low shear wave velocity and high amplification because the city stands on the sedimentary basin; thus, it requires a detailed investigation prior to constructing infrastructures. The other clusters are located on the relatively less vulnerable areas, indicated by moderate shear wave velocity and moderate to low seismic vulnerability indexes. The joint analysis shows that the combination of physical properties, including the shear wave velocity, seismic amplification, and dominant frequency, can be used to investigate lithology and seismic vulnerability into a specific cluster. The research results are essential for hazard mitigation and can be used for disaster risk management by the local government. A detailed investigation with denser measurement points needs to be conducted to comprehensively describe the types of rocks in Banda Aceh and its surrounding.
Entropic Desired Dynamics for Intrinsic Control

An agent might be said, informally, to have mastery of its environment when it has maximised the effective number of states it can reliably reach. In practice, this often means maximizing the number of latent codes that can be discriminated from future states under some short time horizon (e.g. [15]). By situating these latent codes in a globally consistent coordinate system, we show that agents can reliably reach more states in the long term while still optimizing a local objective. A simple instantiation of this idea, E ntropic D esired D ynamics for I ntrinsic C on T rol (EDDICT), assumes ﬁxed additive latent dynamics, which results in tractable learning and an interpretable latent space. Compared to prior methods, EDDICT’s globally consistent codes allow it to be far more exploratory, as demonstrated by improved state coverage and increased unsupervised performance on hard exploration games such as Montezuma’s Revenge.
A Novel Bi-Elliptical Planar Antenna for Ultra Wideband Communications

A novel planar bi-elliptical antenna has been proposed for Ultra Wideband (UWB)applications. The microstrip fed antenna covers complete unlicensed UWB band from 3.1 to 10.6 GHz. The proposed antenna has been analyzed for its impedance bandwidth and its radiation characteristics. The optimization and evolution of antenna has been discussed in detail. The antenna has been realized on the low cost FR4 substrate and it measures 40 × 48 mm 2 . The measured group delay of the antenna is less than 2 ns. The antenna gain varies between -3 and 4 dBi.