Miracle-dz/UniFAR-FTUs huggingface dataset:
Demonstration of Turbulence Resiliency in a Mode-, Polarization-, and Wavelength-Multiplexed Free-Space Optical Link Using Pilot-Assisted Optoelectronic Beam Mixing

We experimentally demonstrate turbulence-resilient free-space optical (FSO) coherent communications with multiple multiplexed data channels in different orthogonal domains, including mode, polarization, and wavelength. The turbulence resiliency is enabled by utilizing pilot-assisted optoelectronic mixing of the received beams, wherein one pilot is being mixed with its corresponding beam. By transmitting additional continuous-wave (CW) pilot tones, whose frequencies are offset from the data-carrying beams, and mixing all pilot tones and beams in a single free-space-coupled photodetector (PD) at the receiver, the turbulence-induced modal coupling could be efficiently suppressed. The paper first discusses an experimental demonstration of a turbulence-resilient mode-division-multiplexed (MDM) FSO communication link using two orbital angular momentum (OAM) beams. Each OAM beam carries an independent 2-Gbit/s quadrature-phase-shift-keying (QPSK) data channel. Experimental results indicate that (i) the channel crosstalk under both the weaker and stronger turbulence distortions are measured to be lower than ∼−25.7 dB, (ii) the turbulence-induced OAM modal coupling could be effectively suppressed for the emulated 15 random turbulence realizations, and (iii) the error-vector magnitudes (EVM) of the multiplexed QPSK data channels are measured to be lower than by 17.4% and 19.8% under the relatively weaker and stronger turbulence effects, respectively. The paper subsequently describes an experimental demonstration of a turbulence-resilient FSO link with eight 0.5-Gbit/s QPSK data channels multiplexing two OAM beams (l = +1 & l = −2), two polarizations, and two wavelengths. The measured bit-error rates (BERs) of all data channels under turbulence effects are below the 7% forward-error-correction (FEC) limit, with power penalties less than ∼3.7 dB.
Static Deflection Compensation of Multi-Link Flexible Manipulators Under Gravity

The static deflection compensation method of a planar multi-link flexible manipulator is proposed using the feedback from inertial sensors mounted at the tip of each link. The proposed compensation technique is validated experimentally using a high-precision laser tracker. The proposed strategy is experimentally verified using a three-link flexible manipulator. A strategy to compensate for the centripetal and tangential acceleration induced on the accelerometer mounted on the rotating link is proposed for correct inclination estimation. The improvement in the inclination estimation using the proposed compensation technique is verified both in simulation and experimental studies.
Leveraging User Equipment for Radio Access Network Augmentation

Along the successive generations, mobile network infrastructure deployments have required continuous expansion and upgrades to respond to the ever increasing traffic demand. At the same time, user equipment (UE) has evolved with the introduction of powerful and advanced communication and computational capabilities. Moreover, several industrial initiatives are promoting the principles of RAN disaggregation through the split of RAN functionalities among multiple interoperable components in contrast to traditional monolithic solutions. Embracing these trends, this paper presents the vision of a Beyond 5G (B5G) scenario where the UE takes a more active role in the communication service provisioning and is used to augment the RAN infrastructure as a source of distributed capacity and network intelligence. This is expected to bring benefits for Mobile Network Operators by reducing the number of base stations to deploy and by providing the RAN with a new degree of flexibility for smartly and dynamically adapting the RAN to the specific needs. In this direction, after discussing the main enabling technologies of the envisaged RAN augmentation concept, this paper presents a simulation-based assessment to quantify the performance improvements and the achievable savings in terms of infrastructure deployment.
Facial Action Units Recognition using Deep Learning Model with Bottleneck Features

This paper presents a framework for detecting action units. The proposed framework consists of two frameworks: feature engineering for improving regression model accuracy and bottleneck features for improving deep learning model accuracy. For a regression framework, This paper presents an SVM with a feature formed by the feature engineering method, which consists of four features: histograms of directional gradients (HOG), facial landmarks, facial landmark distance from the center, and facial landmark angle relative to the center. For a deep learning framework, This paper presents AlexNet and VGG16 with bottleneck features and other optimization techniques such as hyperparameter tuning and image augmentation. Both frameworks presented were trained with the CK+ dataset. For the detection of 10 action units, the results showed that the deep learning framework outperformed the regression framework by 11%. For the detection of 17 action units, the results showed that AlexNet and VGG16 had the highest accuracy compared to other deep learning models, with an accuracy of 74%. Additionally, they outperform the linear SVC model and the Feed Forward MLP model by 10% and 12%, respectively.
Thai Name Gender Classification using Deep Learning

Thai name gender prediction model is presented in this work. The proposed model is based on a Bidirectional Long Short Term Memory (Bi-LSTM). Two dropout blocks are added to reduce the overfitting issue of the model. Two sets of Thai name corpus are used for training and evaluating the proposed model. The first corpus consists of Thai names collected from social media in this work while the second corpus is a combination of the first corpus and the publicly available dataset. The names are classified into male and female. The unisex classification is labeled to the names that the proposed model cannot decide to be either male or female with a probability greater than 0.65. The proposed model provides an average overall accuracy of78.65%. The model generated from the second corpus provided the best performance at an average overall accuracy of 81.43%. The model generated from the first corpus provided the average overall performance of 75.87%.
Timing Analysis for Optimal Points in Credit-Based Shaper of Time Sensitive Network

TSN or Time-Sensitive Network is an aggregation of standards that can include the Ethernet extension to support the real-time application while preserving the safety-critical distribution with the hardware. To improve real-time guarantees establishes multiple shaping such as Credit-Based Shaping (CBS), Asynchronous Traffic Shaping (ATS), Burst Limiting Shaping (BLS) and scheduling processes like Time Aware Shaping (TAS) and various traffic are incorporated. In industrial applications, CBS and TAS combination are widely used. Due to increase of number of traffic in modern industries, control data traffic (CDT), are frequently transfer of the system as a consequence AVB credit are freeze very often and behavior of credit of AVB and timing are continuous changing. Analyzing of the behavior of AVB credit for different timing conditions, it can be predicted total traffic condition of different flows and optimistic shaping mechanism of CBS can enhance quality of service. Several optimal cases have been studied.
Application of Hydro-viscous Driver in TBM Cutter-head Driving Technology

Aiming at developing an effective driving technology for tunnel boring machine(TBM) cutter-head,which is often trapped during construction. The main features of new driving technology are: the driving system consists two kinds of driving devices, variable frequency motor driving device and breakout driving device.The breakout driving device consists of an AC asynchronism motor and a hydro-viscous driver(HVD). The calculating result shows: the new cutter-head driver has a significantly-improved breakout performance than the existing ones. The key technology of the new cutter-head driver is the control of the HVD. By analyzing the temperature characteristics of the HVD, based on which the route of the clutch torque control is set. To make sure that the drive torque change the route, torque transfer mechanism of HVD is then analyzed. The simulation results show that the new cutter-head driving system has a stronger breakout driving ability than the existing driving system.
Highly efficient thermo-optic switches on silicon-on-insulator

We analyze and demonstrate the performance of dense dissimilar waveguide routing as a method for increasing the efficiency of thermo-optic phase shifters on a silicon-on-insulator platform. Optical, mechanical, and thermal models of the phase shifters are developed and used to propose metrics for evaluating device performance. The lack of cross-coupling between dissimilar waveguides allows highly dense waveguide routing under heating elements and a corresponding increase in efficiency. We demonstrate a device with highly dense routing of 9 waveguides under a 10 μm wide heater and, by thermally isolating the phase shifter by removal of the silicon substrate, achieve a low switching power of 95 μW, extinction ratio greater than 20 dB, and less than 0.1 dB ripple in the through spectrum. The device has a footprint of less than 800 μm × 180 μm. The increase in waveguide density achieved by using dissimilar waveguide routing is found not to negatively impact the switch response time.
Muhammad Taupik

In the last twenty years, many of jamu or herbal medicine were adulterated with chemical drugs. One of the chemical drugs that is commonly added to herbal medicine is acetaminophen. Acetaminophen is generally considered as an analgesic-antipyretic drug. The sample of this study consisted of 6 samples of jamu or herbal medicine with different brands. Qualitative analysis was conducted by TLC method using the mobile phase n-hexane: ethyl acetate (1:1), it was obtained three positive samples containing acetaminophen, namely sample D, E, and F. The three positive samples containing acetaminophen were calculated using the LCMS method. Quantitative analysis was conducted with LCMS using a reversedphase with a mobile phase of acetonitrile: water (15%>: 85%> v/v) at a flow rate of 0.2 mL/min and an injection volume of 5 gL, it was obtained the levels of acetaminophen in sample D as much as 0.16 g/2 g of sample, in sample E of 0.63 g/7 g of sample, and in sample F of 0.56 g/7 g of sample. Although the content of acetaminophen in herbal medicine is relatively small, but according to the Regulation of the Minister of Health of Indonesia No. 007 of 2012, traditional medicine or herbal medicine should not contain synthetic chemicals.
Assessment of Reliability of the Transport Information Systems

In this paper is given the definition of e reliability of a transport information system, with features of transport information systems listed. Equations for calculating reliability indicators are given, as well. The developed hierarchical graph model for assessing the reliability of transport information systems and an algorithm for analyzing the graph model, which allows taking into account the specifics of the reliability of the operation of system elements at different levels of the hierarchy, are presented. Using the graph model and the graph model analysis algorithm, it is possible to reasonably predict the strategy for the creation and development of transport information systems.
HYDROLOGICAL PROCESSES MODELING USING GIS ARCGIS AND MODULE HEC-RAS

Aim of this research is to determine the area of land flooding according to a reasonably chosen hydrological model for a complex section of the Dniester River at the place of transition from the foothill to the plain with complex meandering and significant shifts of the river. Methods. The method of investigation of flooded areas as a result of water rise to a certain level has been processed. It includes: survey of the area with UAVs; the implementation of geodetic and hydrological activities in the field of research; creation of DEM based on survey results and analysis of its accuracy; hydrological modeling using the HEC-RAS software package; and determination of flood areas. In order to obtain the digital elevation model, which is the basis for hydrological modeling, a Trimble UX5 UAV with a Sony NEX-5R camera was used. To accurately determine DEM coordinates, a standard error for horizontal coordinates of 6 cm was established; elevation coordinates depending on the basis of images and the underlying surface equals 0,21m. The DEM was created using the specialized software Pix4D. GPS data was given as input to the hydrological modeling. Results. The DEM was created according to the results obtained from the UAV to the average quadratic error of 0.2 m. The technique of hydrological modeling implemented on the part of the Dniester River with a complex configuration of the channel was processed. Areas have been designated including the area of flooding at different water levels of. Scientific novelty is the development of a methodology for determining flooded areas based on the hydrological modeling using the HEC-RAS module for the Dniester River section, which is characterized by significant erosion of coastal soils, complicated meandering and transition from foothill to plain topography. Such conditions require precise determination of modeling parameters. In order to obtain input data for flood modeling, the UAV survey was carried out with a preliminary justification of the accuracy characteristics. The practical significance. Hydrological modeling is performed in order to predict the consequences of material losses due to flood events occurring in the Pre-Carpathian region. The timely receipt of information about these processes; and the monitoring of hydrological posts on the water level, which fills the beds and floodplains, allow through appropriate administrative structures to notify the population and take measures to reduce the losses resulting from these devastating phenomena. The proposed study is aimed at obtaining information on flood areas due to different levels of water uplift in the Dniester River.
PECAN

Signs/Symptoms Small, circular, olive-green to black spots form on the lower surface of the leaf and nuts. These spots may have a velvety or cracked appearance. Sometimes these spots coalesce forming large, irregularly shaped darkened areas. On nuts, these spots appear to be sunken in. Infected twigs will exhibit elongated spots parallel to the twig axis. Infected foliage may prematurely drop. When infection is severe, the entire nut surface is black, development is arrested and the nut drops prematurely or fails to grow in the area of infection.
RUNX1 and CCL3 in Diabetes Mellitus-Related Coronary Artery Disease: A Bioinformatics Analysis

Background Cardiovascular complications are a major cause of death and disability in patients with diabetes mellitus, but how such complications arise is unclear. Methods Weighted gene correlation network analysis (WGCNA) was performed on gene expression profiles from healthy controls, individuals with diabetes mellitus, and individuals with diabetes mellitus-associated coronary artery disease (DMCAD). Phenotypically related module genes were analyzed for enrichment in Gene Ontology (GO) terms and Kyoto Gene and Genome Encyclopedia (KEGG) pathways. Predicted biological functions were validated using gene set enrichment analysis (GSEA) and ClueGo analysis. Based on the TRRUST v2 database and hypergeometric tests, a global network was built to identify transcription factors (TFs) and downstream target genes potentially involved in DMCAD. Results WGCNA identified three modules associated with progression from diabetes mellitus to DMCAD. The module genes were significantly involved in biological processes related to interferon and viral infection, while GSEA of DMCAD samples suggested involvement in viral myocarditis, chemokine signaling and phagosomes. RUNX1 was identified as a potential TF regulating these module genes. Analysis of the global regulatory network of TFs and their targets suggested that CCL3 may be a key regulator in DMCAD. Conclusion We found bioinformatic evidence that CCL3 may be a key regulator and RUNX1 a key TF in DMCAD.
A Flexible Brain-Computer Interface

Recent advances in computer hardware and signal processing have made it feasible to use human EEG signals or "brain waves" to communicate with a computer. Locked-in patients now have a means to communicate with the outside world. Even with modern advances, such systems still suffer from communication rates on the order of 2-3 items/minute. In addition, existing systems are not likely to be designed with flexibility in mind, leading to slow systems that are difficult to improve. This dissertation presents a flexible brain-computer interface that is designed to facilitate changes in signal processing methods and user applications. In order to show the flexibility of the system, several applications, ranging from a brain-body actuated video game played with eye movements to a brain-computer interface for environmental control in a virtual apartment, are shown. pp The P3 evoked potential is a positive wave in the EEG signal peaking at around 300 milliseconds after task-relevant stimuli and it can be used as a binary control signal. A virtual driving experiment shows that the P3 can be reliably detected within a virtual environment. Several on-line algorithms for processing single trial P3 evoked potentials are presented and compared. It is important that actual EEG signals rather than signal artifacts are being recognized and thus false recognition of artifacts is shown to be small. pp Results from an environmental control application within a virtual apartment are presented. Subjects do not perform significantly different between controlling the application from a computer monitor and when fully immersed in the virtual apartment and subjects like the immersive VR environment better. This highlights the fact that the P3 component of the evoked potential is robust over different environments and that usability does not depend solely on performance, but on other factors as well. Future work is discussed within this context.
Analysis of Tissue-Specific Interferon Regulatory Factor 3 (IRF3) Gene Expression against Viral Infection in Paralichthys olivaceus

Abstract Interferon Regulatory Factor 3 (IRF3) is a member of interferon-regulated transcription factor family and is known to play an important role in the innate immune response against viral infections. In this study, the expression of IRF3 in different tissues, developmental stages, and stocking densities of olive flounder was investigated. The expression of IRF3 was observed to gradually increase in early-stage juvenile fish. The highest expression was observed in later-stage juvenile fish when immune tissues were formed. High IRF3 expression was observed in the muscles and the brain tissues. The expression of IRF3 was observed in fish at different stocking densities after viral hemorrhagic septicemia virus (VHSV) infection. It yielded an interesting expression pattern in the muscles and the brain tissues of fish stocked at low density. These observations can be used as basic data for the study of the expression of immune response-related genes against viruses based on stocking density and immune systems in other fish species.
Psychoeducation on the Risks of Early Marriage to Reduce Early Marriage Intentions in Adolescents

There are various reasons for someone to marry at an early age, one of which is the condition of someone who has a strong desire to marry at a young age. Early marriage intention is the tendency of a marriage that has a desire to marry at the age of teenagers or under the age of 20 years. The increasing intention of early marriage can be overcome, one of them is by providing psychoeducation. The purpose of this study was to determine the effect of providing psychoeducation on early marriage in reducing the intention of early marriage in adolescents. The research subjects were 55 teenagers who were taken purposively. This research is a quasi-experimental research. This type of research uses a pre-experimental design method with the type of pre-test and post-test one group design. The results showed that there was a significant difference in scores for the treatment without psychoeducation and with the treatment with psychoeducation t (-39.305; p = 0.000 <0.05). Thus, it can be concluded that psychoeducation can be used to reduce early marriage intentions.
Reliability analysis of typical structure of entry-driving machine using ANSYS

Entry-driving machine is a kind of huge and complicated engineering equipment,which always works in complex and formidable environment.Therefore,its reliability is an important problem needed to be considered.And the reliability analysis of its typical structure is a meaningful topic.This paper try to develop a reliability analysis method for the typical structure of the entry-driving machine based on ANSYS.The flange is selected,whose three-dimensional model is established in ANSYS.Then,random finite element analysis and Monte Carlo method are used to conduct numerical experiment and reliability analysis.The results show that the flange is reliable under extreme load and ANSYS provides a viable and strong method for the reliability analysis of the structure of the entry-driving machine.
Dual-Stage EDFA for Improving the Performance of Long-Haul Optical Systems

A cascade of single-stage erbium doped fiber amplifiers (SS-EDFAs) are known to improve the signal strength and system reach in long-haul optical systems. However, such a cascade introduces an amplified spontaneous emission (ASE) noise accumulation, which results in system performance degradation. To reduce this ASE noise accumulation, we propose the incorporation of a dual-stage EDFA (DS-EDFA) with a narrow bandwidth (typically 3 nm or even smaller depending on the system under consideration) bandwidth optical bandpass filter (OBPF) in the system. We analyze the role of a DS-EDFA, which is formed using two identical SS-EDFAs, for its effectiveness in improving the overall system performance. The gain vs input power characteristic comparison is provided for the DS-EDFA (without interstage OBPF) modelled in OptSim and MATLAB. A system-level numerical model in MATLAB matching the OptSim parameters has been presented to validate the OptSim results. For a cascade incorporating DS-EDFA with interstage OBPF, a system-level analysis is presented with results obtained from a simulated model designed using OptSim. The results demonstrate the effectiveness of DS-EDFA in improving the optical signal-to-noise ratio (OSNR) and bit error rate (BER) performance of the long- haul optical system under consideration. From the obtained results, the optimum placement of a DS-EDFA at the start of the amplifier chain/cascade is recommended for practical implementation in a long-haul optical communication system.
The contribution of static and dynamic tests to the assessment of visuospatial abilities among adult males

ABSTRACT Visuospatial abilities (VSA) reflect individuals' aptitude to deal with visual elements presented in space. VSA are considered to involve different abilities that can be measured with various tests. However, the number and types of tests to be considered are still being debated, especially for dynamic VSA, which have received little attention so far. In this light, this study aimed at verifying the contribution of different static and dynamic tests to the assessment of VSA among 170 adult males. Confirmatory factor analyses (CFA) indicated that static and dynamic VSA are distinct. This implies that VSA cannot be conceptualised as a unitary construct and that a single test cannot predict global performance. Results suggest that at least one static and one dynamic test should be considered to characterise VSA performance. Overall, this preliminary study contributes to clarifying the nature of VSA and opens avenues for future research to improve VSA assessment.