Miracle-dz/UniFAR-FTUs huggingface dataset:
LEGO Mindstorms™ for informed metrics in virtual worlds

Science education is the meaningful pursuit of comprehension, knowledge and understanding of scientific concepts and processes. In Vygotskian, social-constructivist learning, personal interpretation, decision making and community cooperation fosters long-term understanding and transference of learned concepts. In short, the construction of knowledge requires learners to be actively involved in the process of learning. For effective science learning an instructor's pedagogical approach must be anchored in meaningful contexts so that students experience science. This research paper assesses and defines effective measurements for evaluating strategies for communicating science using LEGO robots and a Mindstorms™ RCX controller collaboratively constructed and programmed by students using virtual technologies while physically situated in different locations.
Optimal linear precoding scheme for multibeam satellite systems based on partial channel information

Existing work on the precoding scheme for multibeam satellite systems assumes the availability of perfect channel state information (CSI) at the satellite transmitter. Unfortunately, this assumption is not applicable to mobile satellite systems because of long propagation delays, and this is especially true for the geostationary earth orbit (GEO) satellite systems. In this paper, we present a linear precoding scheme for the downlink of a multibeam mobile satellite system assuming availability of only partial CSI. Employing the Shadowed-Rice fading channel model, an approximate analytical expression is first derived for the outage capacity. The optimal linear precoding problem is then considered based on the max-min criterion. It is shown that the optimal solutions to the problem can be obtained by using standard convex optimization tools. Simulation results show substantial performance gains compared with the conventional single-beam based processing scheme.
Improvements the Seccomp Sandbox Based on PBE Theory

Providing a safe computing condition to unknown user is a crucial task in the existing network computing, and usually we can use the sandbox technology to shield security issues, but the behavior of malicious-occupying the resource has not been well controlled in the sandbox. In this passage, permission rate to access the computational efficiency and accuracy can be available by improving the Linux Kernel Secure Computing Mode(Seccomp) System, furthermore using the system calls judgment technology to prevent its malicious acts from user code can protect the system. During the calculations procedure, specifically, the improved Perfect Bayesian Equilibrium (PBE) Algorithm can be used to determine user behavior in system-call process, utilize this algorithm to construct policy engine, and use the engine decision-making engine to decide existing users' behavior as a result to maximize the profits of both the user code operating and server system capacity. Moreover agent technology that works in achieving the interrupted determination and interrupted access separate the computing and operating systems simultaneously. After all, improving sandbox technology is to achieve the relative optimization between the user service efficiency and security guarantees. Finally, the experiments show that compared with the Sandboxie and Buffer Zone technology, the proposed algorithm optimizes the consumption of the system resources in the original Seccomp Sandbox, and its access determine in rate also speeds up in the certain degree. In particular, it can effectively prevent special system call from malicious code, which can protect the system mainly in large extent. Moreover, the testing speed and the performance of several regular system calls such as file access operation, write operation also are under the progressive improvement.
Fast initialization of level set method and an improvement to Chan-Vese model

The initialization is an important step in the level set method. However, it is a computational time-consuming step. In order to speed up the level set evolution procedures, we first introduce a new initialization algorithm based on the vector distance transform, which propagates a vector with a position of the nearest object pixel instead of the scalar distance. A new sign map labeling method, based on the flood fill, is proposed to distinguish the inside and outside of the 2D closed active contour. The active contour model proposed by Chan and Vese (Chan and Vese, 2001) can detect object whose boundaries are not necessarily defined by gradient. Our additional contribution to this paper is to present a further improvement to C-V model by replacing /spl delta/(/spl Phi/) with |/spl nabla//spl Phi/| to gain the global optimization. Finally, we illustrate the efficiency and performance of the proposed model by experimental results.
Simultaneous monitoring of the phenomena of CD, Crosstalk, and OSNR in the physical layer of the optical network with the use of convolutional neural networks

The article shows the results of the algorithm of Convolutional Neural Networks (CNN) based on data from the Asynchronous Delay Tap Sampling (ADTS) method. The combination of these two techniques made it possible to obtain an expert system to monitor simultaneously impairments (Chromatic Dispersion, Crosstalk and Optical to Signal Noise Ratio) occurring during transmission in the physical layer of the optical network. The ADTS technique allows to present disturbances in the form of images called phase portraits. Using the VPIphotonics program, 62000 images for modulation OOK were generated. All images were disturbed by a different combination of CD, Crosstalk and OSNR phenomena. These combination contain interference in pairs (e.g. 25 ps/nm for CD, 24.5 dB for Crosstalk and 17.5 dB for OSNR) but also individually (e.g. 678.93 ps/nm for CD and 0 for Crosstalk and OSNR). The next stage was the use of the convolutional algorithms of neural network. Research was conducted to teach the network the best possible recognition of simultaneously occurring phenomena. The challenge in the field of monitoring optical networks is monitoring with high accuracy simultaneously occurring phenomena using one method. As a result of the conducted research, high possibilities of simultaneous monitoring of the CD and Crosstalk phenomena for which the 𝑅 2 match factor was obtained at the level higher than 0.999 were established. In the case of the OSNR phenomenon, a match factor of over 0.99 was obtained. The conducted research shows large possibilities of using CNN to simultaneously monitor at least three phenomena and encourage to undertake research on the possibilities of simultaneous monitoring of more phenomena with the use of these networks.
Acoustic sensor optimization for SMART technologies

From the vibration analysis generated by biological and mechanical systems, it is possible to determine whether there has been a fundamental change in their time or frequency domain. This analysis can provide information about the internal state of the system and its dynamics without the need for invasive intervention. In addition, the measured data can be used together with advanced signal processing algorithms (neural networks or machine learning) to create a predictive maintenance and diagnostic system. According to the measured data diagnostics, it will be possible to identify a defective component (e.g. a damaged bearing, loose part or worn belt), replace it and prevent possible system failure. This work describes a modular measuring device based on closed acoustic tube. Acoustic tube parameters are measured and optimized for use in remote monitoring, which is part of a project dealing with measurement of vital signs in magnetic resonance.
Cheilitis glandularis of upper and lower lip in young female: Case treated with systemic steroids with follow-up of 1 year

There are a number of pathological conditions that may affect the lips. Cheilitis glandularis (CG) is a rare disorder characterized by hyperplasia of the labial mucous glands and mixed salivary glands as well as by ectasia of salivary glands ducts. It is a rare condition and most commonly involves the lower lip of adult males with little predilection for females. The exact etiology of this condition is unknown, but various agents have been linked. In this paper, we report a rare case of CG of the superficial suppurative type in a 20-year-old Indian female affecting upper and lower lip which was diagnosed based on clinical and histopathological findings and was treated with steroids. The present case is different because of its occurrence in a young aged female with the involvement of both lips. Early diagnosis and prompt treatment and frequent monitoring and follow-up are necessary to prevent further complications.
Reduction in post extraction waiting period for dental implant patients using plasma rich in growth factors: an in vivo study using cone-beam computed tomography

Objectives This study examined the effects of plasma-rich growth factors (PRGF) on accelerating bone regeneration/repair in fresh extraction sockets, and determined the quality and quantity of bone by assessing the bone density using cone-beam computed tomography (CBCT). Materials and Methods Twenty patients, who had undergone bilateral extractions, were included in this study. In one extraction socket, PRGF was used and covered with an autologous fibrin plug. Nothing was used in the opposite side extraction socket. Thirteen weeks post extraction, the level of bone regeneration was evaluated on both sides with CBCT. Results At the end of the study, the mean bone density according to the Hounsfield units (HU) in the control group and PRGF group was 500.05 HU (type III bone type) and 647.95 HU (type II bone type), respectively. Conclusion This study recommends the use of PRGF in post extraction sites to accelerate the rate of bone regeneration and improve the quality of regenerated bone. The technique to process PRGF was simple compared to previously mentioned techniques used for platelet-rich plasma (PRP) preparation. PRP preparation requires a two-cycle centrifugation procedure, leading to a longer processing time.
Microgravity testbed for the development of space robot control systems and the demonstration of orbital maneuvers

Space robots will play an important role in the future space activities. On-orbit servicing, on-orbit assembly as well as active debris removal are only some of the tasks that could be accomplished using the space robots. The control systems of the space robot should be tested in order to verify the developed algorithms. Although it is difficult to conduct tests of a space robot on the Earth because of the gravity, there are several solutions that enable testing. Terrestrial-based options include parabolic flights, drop towers and planar air bearing microgravity testbeds such as the testbed possessed by the Space Research Centre of the Polish Academy of Sciences (CBK PAN). This testbed is capable of testing various control systems and enables a space robot to perform complex maneuvers. The main objective of this paper is to present the upgraded testing facility. Firstly, the robotic arm of the space robot was equipped with a third kinematic pair. Secondly, new PCB boards for the main computer, joints controllers and cold-gas thrusters controller were developed. Moreover, the space robot was equipped with two stereovision cameras to detect the obstacles in the robot’s surroundings. Finally, the results of two exemplary tests carried out using the updated facility are presented.
Optimization of quasar parametrization using genetic algorithms

In this paper we extend features of our open source R package that will enable new modern research methodology for astronomers with data and algorithms deep analyses. Methods of Genetic Algorithms (GA) were added to this computational project made of nosql database and intelligent numerical algorithms searching for most extreme extragalactic objects. In future we accelerate GA with OpenCL and CUDA kernels just to enable opportunities for finding very rare astronomical objects or classifying and clustering the well known ones. The greater computational power, the better search and astronomical databases will be created, the more improvements can be introduced into parametrization algorithms for future massive surveys.
Design of the radiator for detection part of the Submillimeter Wave Instrument (SWI) of JUICE mission

ESA JUICE Mission JUpiter ICy moons Explorer which is planned for launch in 2022 would be consisted of 11 science instruments. For one of them, SWI (Submillimetre Wave Instrument), the dedicated Radiator was designed due to requirement for low operational temperature of crucial instrument subsystem. Located outside of the spacecraft and facing the Deep Space; exposed to highly radiative environment and high temperature gradients between Earth, Venus and Jupiter orbits; robust against launch vibrations; light-as-possible and optimized to provide maximal thermal efficiency. The design solution, which would successfully fulfill these often counteracting requirements occurred to be non-trivial. Presented design approach shows the balanced and optimized response for initial requirements, including the description of thermal performance modelling using ESATAN and structural FEM analysis calculated in NASTRAN.
The use of satellite remote sensing and UAV for the mapping of coastal areas for the use of marine spatial planning

Marine Spatial Planning (MSP) is a critical tool for the economic, social and environmental sustainability of coastal and marine areas. MSP seeks to identify the various human economic activities in these zones and in various depths. In compliance with Directive 2014/89/EU of the European Parliament and Council of the 23rd of July 2014, which aims to establish a common framework where each member state identify the maritime space under its control. This was accomplished in Cyprus through the project “Cross-Border Cooperation for the Development of Maritime Spatial Planning (Thal-Chor)”, in short “Thal-Chor”, which was co-funded under the Interreg “Greece–Cyprus 2007–2013” framework. The methodology of the project used government data and bathymetry maps to create a GIS database which produced density maps. The Density maps identified a high concentration of activities near the Limassol district and around the ports of Cyprus and over 60 sea and land activities were analysed for conflicts and compatibilities. The further implementation of MPS will take place through the “Cross-Border Cooperation for Implementation of Maritime Spatial Planning (“Thal-Chor 2)”. During the project, satellite remote sensing and Unmanned Aerial Vehicles will be used to survey the coastal and marine areas that were identified on the density maps from the Thal-Chor project. SAR data from the Sentinel 1 satellite will provide the necessary data to verify the MSP activities in the first phase of the project. Such data will provide valuable information for the existing geo-spatial database for MSP for the implementation of integrated plans. This research is supported by the project entitled: “Cross-Border Cooperation for Implementation of Maritime Spatial Planning” referred as “THAL-CHOR 2” and is co-funded by the European Regional Development Fund (ERDF) and by national funds of Greece and Cyprus, under the Cooperation Programme “INTERREG V-A Greece-Cyprus 2014-2020”.
Photoluminescence properties of ZnSe:Al, ZnSe:Cu nanoparticles obtained by chemical synthesis

This work represents an effective method for synthesis and doping of ZnSe nanocrystals with elements of group 3 and transition elements. The structure of crystals and their average size are determined. The spectra of optical density and photoluminescence were studied, and a comparative analysis of characteristics of the obtained nanoparticles with their bulk analogs was carried out.
An Estimation of Pedestrian Action on Footbridges Using Computer Vision Approaches

Vibration serviceability of footbridges is important in terms of fitness for purpose. Human-induced dynamic loading is the primary excitation of footbridges and has been researched with traditional sensors, such as inertial sensors and force plates. Along with the development of computer hardware and algorithms, e.g. machine learning, especially deep learning, computer vision technology improves rapidly and has potential application to the problem. High precision pedestrian detection can be realized with various computer vision methods, corresponding to different situations or demands. In this paper, two widely recognised computer vision approaches are used for detecting body centre of mass and ankle movement, to explore the potential of these methods on human-induced vibration research. Consumer-grade cameras are used without artificial markers, to take videos for further processing and wearable inertial sensors were used to validate and evaluate the computer vision measurements.
Identification of a Tumor Microenvironment-Related Eight-Gene Signature for Predicting Prognosis in Lower-Grade Gliomas

Lower-grade gliomas (LrGG), characterized by invasiveness and heterogeneity, remain incurable with current therapies. Clinicopathological features provide insufficient information to guide optimal individual treatment and cannot predict prognosis completely. Recently, an increasing amount of studies indicate that the tumor microenvironment plays a pivotal role in tumor malignancy and treatment responses. However, studies focusing on the tumor microenvironment (TME) of LrGG are still limited. In this study, taking advantage of the currently popular computational methods for estimating the infiltration of tumor-associated normal cells in tumor samples and using weighted gene co-expression network analysis, we screened the co-expressed gene modules associated with the TME and further identified the prognostic hub genes in these modules. Furthermore, eight prognostic hub genes (ARHGDIB, CLIC1, OAS3, PDIA4, PARP9, STAT1, TAP2, and TAGLN2) were selected to construct a prognostic risk score model using the least absolute shrinkage and selection operator method. Univariate and multivariate Cox regression analysis demonstrated that the risk score was an independent prognostic factor for LrGG. Moreover, time-dependent ROC curves indicated that our model had favorable efficiency in predicting both short- and long-term prognosis in LrGG patients, and the stratified survival analysis demonstrated that our model had prognostic value for different subgroups of LrGG patients. Additionally, our model had potential value for predicting the sensitivity of LrGG patients to radio- and chemotherapy. Besides, differential expression analysis showed that the eight genes were aberrantly expressed in LrGG compared to normal brain tissue. Correlation analysis revealed that the expression of the eight genes was significantly associated with the infiltration levels of six types of immune cells in LrGG. In summary, the TME-related eight-gene signature was significantly associated with the prognosis of LrGG patients. They might act as potential prognostic biomarkers for LrGG patients, offer better stratification for future clinical trials, and be candidate targets for immunotherapy, thus deserving further investigation.
Expression of Bioactive Chemerin by Keratinocytes Inhibits Late Stages of Tumor Development in a Chemical Model of Skin Carcinogenesis

Chemerin is a multifunctional protein acting mainly through the G protein-coupled receptor ChemR23/CMKLR1/Chemerin1. Its expression is frequently downregulated in human tumors, including in melanoma and squamous cell carcinoma of the skin and anti-tumoral properties of chemerin were reported in mouse tumor graft models. In the present study, we report the development of spontaneous skin tumors in aged ChemR23-deficient mice. In order to test the potential therapeutic benefit of chemerin analogs, a transgenic model in which bioactive chemerin is over-expressed by basal keratinocytes was generated. These animals are characterized by increased levels of chemerin immunoreactivity and bioactivity in the skin and the circulation. In a chemical carcinogenesis model, papillomas developed later, were less numerous, and their progression to carcinomas was delayed. Temporal control of chemerin expression by doxycycline allowed to attribute its effects to late stages of carcinogenesis. The protective effects of chemerin were partly abrogated by ChemR23 invalidation. These results demonstrate that chemerin is able to delay very significantly tumor progression in a model that recapitulates closely the evolution of solid cancer types in human and suggest that the chemerin-ChemR23 system might constitute an interesting target for therapeutic intervention in the cancer field.
Stochastic deterministic methods for processing signals and images in optical electronic systems

The theoretical and experimental studies of statistical properties of the input signals of optical electronic systems were carried out. The statistical models of interaction of an optical signal in optoelectronic systems based on the the distribution laws, characterized by a finite and infinite dispersion, were developed. The study of the asymptotic behavior of tailings of the output signals distribution densities for optoelectronic systems proved the possibility of using stable distribution laws describing the source signals of optoelectronic systems. The boundaries of statistical models applicability were outlined based on the central and generalized boundary theorems. Theoretical and experimental researches with the provision of high accuracy of determination of signals spatial-temporal characteristics with increased probabilistic detection characteristics were presented.
Improved Alignment of PEDOT:PSS Induced by in-situ Crystallization of “Green” Dimethylsulfone Molecules to Enhance the Polymer Thermoelectric Performance

Dimethylsulfone (DMSO2), a small organic molecule, was observed to induce the alignment of poly(3,4-ethylenedioxythiophene): poly(4-styrenesulfonate) (PEDOT:PSS) via in-situ crystallization in PEDOT:PSS mixture, which was verified by field emission scanning electron microscopy (FESEM), X-ray diffraction (XRD) and atomic force microscopy (AFM). A chemically stable dopant, DMSO2, remarkably raised the electrical conductivity of the PEDOT:PSS film, which was fabricated from pre-mixed solution of PEDOT:PSS and DMSO2, up to 1080 S/cm, and more importantly, such a PEDOT:PSS film showed a long-term humidity stability and it retained near 90% electric conductivity after 60 days, suggesting DMSO2 is promising for an eco-friendly alternative to replace dimethyl sulfoxide (DMSO), ethylene glycol (EG) and various acids dopants that have been widely employed to dope and post-treat PEDOT:PSS. Pairwise interaction energies and free energy of solvation between PEDOT:PSS and DMSO2 were calculated by first-principles and molecular mechanics, respectively, revealing the mechanism of DMSO2 in enhancing the electrical conductivity.