Miracle-dz/UniFAR-FTUs huggingface dataset:
An overview of neural networks for drug discovery and the inputs used

ABSTRACT Introduction: Artificial intelligence systems based on neural networks (NNs) find rules for drug discovery according to training molecules, but first, the molecules need to be represented in certain ways. Molecular descriptors and fingerprints have been used as inputs for artificial neural networks (ANNs) for a long time, while other ways for describing molecules are used only for storing and presenting molecules. With the development of deep learning, variants of ANNs are now able to use different kinds of inputs, which provide researchers with more choices for drug discovery. Areas covered: The authors provide a brief overview of the applications of NNs in drug discovery. Combined with the characteristics of different ways for describing molecules, corresponding methods based on NNs provide new choices for drug discovery, including de novo drug design, ligand-based drug design, and receptor-based drug design. Expert opinion: Various ways for describing molecules can be inputs of NN-based models, and these models achieve satisfactory results in metrics. Although most of the models have not been widely applied and tested in practice, they can be the basis for automatic drug discovery in the future.
Vacuum-Arc Anode Phenomena: New Findings and New Applications

The vacuum arc modes from the viewpoint of anode activity have traditionally been considered as a diffuse arc, footpoints, anode spots, and an intense arc. Recent studies carried out jointly by the IHCE SB RAS and the INP-Greifswald have made it possible to identify anodic plume and anode spot type 2 as new modes of a high-current vacuum arc, specific for electrodes made of a copper-chromium composition. The anode plume appears either immediately before the anode spot of type 2, or immediately after the extinction of the anode spot of type 2. The appearance of the plume before the spot is unstable, while after the spot the plume is stable. Appearance of the plume is an indicator of the intense vapor flux of the anode material, which can reduce the breaking capacity of the vacuum circuit breaker (VCB). Implementation of the VCB operating mode free of both the anode spot type 2 and anode plume allows a more successful recovering of the electric strength of the VCB after current zero.
Evaluation of Feature Detectors on Repeatability Quality of Facial Keypoints In Triangulation Method

This study derived from a research focusing on 3D face recognition using ToF camera. But the system can't be used outdoors, because of a backlight. To solve this problem, a commercial digital single-lens reflex (DSLR) camera will be used. It can be approached y solving the stereo-view reconstruction problem for each pair of consecutive images. To reconstruct an object, projection matrix estimation from 2D point correspondences will be needed. The accuracy of 3D reconstruction is highly dependent on the corresponding points of 2D data projections from images to other images. In this research, The detectors are Harris-Stephens, SURF, FAST, Minimum Eigenvalue, and BRISK have been tested and analyzed through black box test. To evaluate feature detectors performance, the repeatability score for a given pair of images is computed. To do that it can use recall and precision. The best detector is the Harris Stephens detector because it has the best F-measure values of 0.46.
Simulation on the Response of the SIW Slot Array to HPM Irradiation

The response of a receiving antenna to the high power microwave irradiation is analyzed by using the finite integration technique (FIT). Typical excitation signals are applied to examine the effect of the excitation to the response. The results reveal that the waveform of the response signal is mainly decided by the excitation signal and the operating frequency band of the receiving antenna.
Hierarchical Wireless Vehicular Fog Architecture: A Case Study of Scheduling Electric Vehicle Energy Demands

Several novel and promising wireless vehicular-network applications have been developed recently. Examples include trip planning, media sharing, and Internet access. However, sufficient network resources [e.g., equipped vehicles, base stations (BSs), roadside units (RSUs), and other infrastructure] to support these applications are not yet available or are deployed at a slow pace. Moreover, these applications require considerable efforts in information gathering and data processing to allow quick decision making and fast feedback to all users. This imposes significant challenges on the development of an efficient wireless vehicularcommunication platform. In this article, we propose a new hierarchical software-defined-network (SDN)-based wireless vehicular fog architecture called a hierarchical SDN for vehicular fog (HSVF) architecture. The HSVF is based on a hybrid SDN control plane that reinforces centralized and distributed management. The proposed SDN control plane includes a trajectory prediction module to mitigate the drawbacks of the frequent handover problem between the RSUs and vehicles. The proposed architecture is then evaluated using a relevant case study that addresses the scheduling of electric vehicle (EV) energy demands.
1-Package 500W High Efficiency LDMOS Doherty Power Amplifier

This paper presents a LDMOS high power high gain peaking device with an optimized pre-matching network implemented in a half 10×32mm air cavity plastic package. This peaking device allows the one package Doherty solution achieved 57.5dBm peak power in the 1.805-1.88 GHz band, and >53% efficiency, >17.5dB gain with 9.9PAR WCDMA signal at 8dB OBO with a classical asymmetrical 2 ways Doherty circuit. This Doherty could be linearized at −57dBc level with 60MHz 2-carrier LTE signal.
Clofazimine, but Not Isoniazid or Rifampicin, Augments Platelet Activation in vitro

Although the inclusion of the cationic amphiphilic, anti-mycobacterial agent, clofazimine, in the chemotherapeutic regimens of patients with multidrug-resistant tuberculosis (TB) has contributed to improved outcomes, concerns remain about the cardiotoxic potential of this agent. Accordingly, the current study was undertaken with the primary objective of investigating the effects of clofazimine, on the reactivity of human platelets in vitro, a seemingly unexplored, mechanism of cardiotoxicity. Platelet-rich plasma (PRP) prepared from the blood of healthy, adult humans was treated with clofazimine (0.625–10 mg/L), or the primary anti-TB agents, isoniazid and rifampicin (at final concentrations of 5 and 10 mg/L), followed by addition of either adenosine 5′-diphosphate (ADP) or thrombin and measurement of platelet activation according to the magnitude of expression of CD62P (P-selectin), as well as the CD62P-mediated formation of heterotypic neutrophil:platelet (NP) aggregates, using flow cytometry. Clofazimine, but neither isoniazid nor rifampicin, caused dose-related potentiation of both ADP- and thrombin-activated expression of CD62P by platelets, achieving statistical significance at threshold concentrations of 0.625 and 2.5 mg/L, respectively, as well as significant formation of N:P aggregates. These stimulatory effects of clofazimine on platelet activation were partly attenuated by pre-treatment of PRP with the membrane-stabilizing agent, α-tocopherol, possibly consistent with a membrane-disruptive mechanism. In conclusion, clofazimine, at concentrations within the therapeutic range, augments platelet activation in vitro, probably by a mechanism linked to membrane destabilization. If operative in vivo, these pro-thrombotic activities of clofazimine may predispose for development of microvascular occlusion, exacerbating an already existing high risk for development of TB-associated cardiovascular disease.
MapReduce a Comprehensive Review

MapReduce encompasses a framework in the processing and management of large scale datasets within a distributed cluster. The framework has been employed in several applications including search indexes generation, analysis of access log, document clustering, and other data analytics. A flexible computation model is adopted in MapReduce in addition to plain interface which comprises the functions of map and reduce. The interface is customizable based on application developers. MapReduce has captured the interest among many scholars whereby the interest has been on increasing its usability and efficiency in support to database-centric operations. Accordingly, this paper provides a complete review regarding a vast continuum of proposals and systems concentrating basically on the support of distributed data management and processing with the use of the framework of MapReduce.
Road Safety Features Identification Using the Inertial Measurement Unit

Recent studies have investigated the use of inertial measurement units to detect and report the presence of road irregularities on the surface and thus improve safety and maintenance of the transportation infrastructure. The results from the literature show that it is possible to detect the presence of various irregularities in the road surface and identify the type of irregularity with good accuracy using various statistical features. This article addresses specific irregularities called road safety features (RSF) and focuses on the identification of the RSF instances themselves rather than the RSF type identification, which leads to a more challenging problem. The authors have collected data from accelerometers and gyroscopes in an Inertial Motion Unit (IMU) from 42.5 kms of vehicle driving where RSF were present. In particular, two types of RSF were investigated: a rumble strip and a speed bumper. Two different approaches were used to classify the RSF: a feature-based approach derived from the research literature and a novel approach based on dynamic time warping (DTW). The results show that the approach based on Dynamic Time Warping (DTW) provides a very high level of identification accuracy. To the best of the authors' knowledge, this is the first attempt in the literature for the identification of specific road irregularities based on a large experimental dataset.
An Improved Adaptive Sparse Channel Estimation Method for Next Generation Wireless Broadband

Accurate estimation of channel state information in a time varying environment is a challenging problem in next generation high speed wireless communications. Adaptive Channel Estimation (ACE) techniques are used to estimate the channel coefficients of a time varying wireless channel. Normalized Least Mean Square (NLMS) algorithms are utilized to construct simple and stable ACE methods but the intrinsic sparsity of broadband MIMO wireless channel cannot be efficiently utilized by such methods. A Variable Step Size Sign Data Sign Error NLMS (VSS-SDSENLMS) algorithm is proposed in this paper as a method for adaptive sparse channel estimation in broadband MIMO-OFDM systems. $l_{0}$-norm sparse penalty was employed to the cost function of VSS-SDSENLMS algorithm to exploit the sparse information of time varying broadband wireless channel. Simulation results confirmed that the proposed algorithm improved the performance in terms of bit error rate with comparable computational complexity and better MSE performance at a faster convergence rate.
Physical and psychosocial development of Mapuche and nonindigenous Chilean toddlers: A modest role of ethnicity

Abstract Mapuche represents the largest indigenous group in Chile amounting to nearly 10% of the total population. In a longitudinal cohort of 12,398 children, we analyzed the role of ethnicity in physical and psychosocial development of Mapuche and nonindigenous Chilean toddlers (age 2.5 years), taking into account sociodemographic and caregiver characteristics. As indicated by our univariate analysis, the Mapuche developmental niche was characterized by lower income, lower maternal education, poorer quality of the home environment, longer breastfeeding, and higher parental stress. Physical development showed higher body mass index. Mapuche children showed less externalizing problems. We then analyzed the incremental contribution of ethnicity in a series of hierarchical regressions with the second wave of developmental measurements (age 4.5 years) as outcome variables, showing a significant but modest incremental contribution of ethnicity to the prediction of children's development between 2.5 and 4.5 years of age. Controlling for environmental variables, Mapuche showed less externalizing and internalizing, behavior problems. Socioeconomic status, quality of the home environment, and parenting stress were stronger predictors of socioemotional development than ethnicity per se.
Analysis and Simulation of Quadruped Walking Robot with Hydraulic Driving

This paper describes a quadruped walking robot with hydraulic driving. The model of the quadruped robot is built by ADAMS and the link coordinate system of the quadruped robot's leg is established based on the D-H parameter method with kinematics equations established. A hydraulic control system model is established by the theoretical analysis of the hydraulic system, and the stable walking of quadruped robot is simulated by using the joint simulation of MATLAB and ADAMS.
The Relationship Between the Virtual Hand Illusion and Motor Performance

Bodily self-consciousness consists of agency (i.e., the feeling of controlling one’s actions and causing external events) and body ownership (i.e., the feeling that one’s body belongs to one’s self). If a visual presentation of a virtual (fake) hand matches the active movement of a real hand, both the agency and body ownership of the virtual hand are induced [i.e., the active virtual hand illusion (VHI)]. However, previous active VHI studies have rarely considered the effects of goal-related movement errors (i.e., motor performance) on the senses of agency and ownership. Hence, the current study aimed to clarify the relationship between the active VHI and motor performance. To induce the VHI, 18 healthy subjects (three men and 15 women; 20.7 ± 7.3 years) were required to continuously move a virtual hand around a circle at a predetermined speed (i.e., spatial and temporal goals) using their active hand movements. While moving the virtual hand actively, five visual feedback delays were introduced: 90, 210, 330, 450, and 570 ms. It was found that the subjective ratings of both the agency and body ownership of the virtual hand decreased as a function of the delay intervals, whereas most of the spatial and temporal movement errors linearly increased. Using multiple regression analyses, we examined whether the agency and ownership ratings could be explained effectively by both the delay and movement errors. The results demonstrated that the agency was determined not only by the delay but also by the movement variability, whereas the body ownership was mostly determined by the delay. These findings suggest a possibility that the goal-related motor performance of the active VHI influences the agency judgment more strongly, while its effect on the ownership judgment is weaker.
Selecting active frames for action recognition with vote fusion method

Recent applications of Convolutional Neural Networks, especially 3-Dimensional Convolutional Neural Networks (3DCNNs) for human action recognition (HAR) in videos have widely used. In this paper, we use a multi-stream framework which is a combination of separated networks with different kinds of input generated from a unique video dataset. We study various methods for extracting best frames in videos for action representation and find the way to fuse multiple networks for better recognition. We make the following work: first, we propose a method to extract the active frames (called Selected Active Frames - SAF) from videos to build datasets for 3DCNNs in video classification problem. Secondly, we propose a mixed fusing approach called Vote fusion which is considered as an effective fusion method for ensembling multi-stream networks. We evaluate the proposed approach to solving action recognition problem. We carry out this approach on three well-known datasets (KTH, HMDB51, and UCF101). The results are also compared to the state-of-the-art results to illustrate the efficiency and effectiveness in our approach.
Processing Issues in SiC and GaN Power Devices Technology: The Cases of 4H-SiC Planar MOSFET and Recessed Hybrid GaN MISHEMT

This paper aims to give a short overview on some relevant processing issues existing in SiC and GaN power devices technology. The main focus is put on the importance of the channel mobility in transistors, which is one of the keys to reduce RON and power dissipation. Specifically, in the case of the 4H-SiC planar MOSFETs the most common solutions and recent trends to improve the channel mobility are presented. In the case of GaN, the viable routes to achieve normally-off HEMTs operation are briefly introduced, giving emphasis to the case of the recessed hybrid MISHEMT.
Multidimensional Assessment of Interoceptive Awareness: Psychometric Properties of the Portuguese Version

Interoceptive awareness involves several mind–body dimensions and can be evaluated by self-report with the Multidimensional Assessment of Interoceptive Awareness (MAIA), which has been translated and validated in several countries and is being used in research and clinical contexts. This study systematically translated the MAIA with six additional items using a focus group and evaluated its psychometric properties in a respondent sample of 204 Portuguese university students (52% females; M = 21.3, SD = 3.9 years). Based on exploratory factor analysis, we refined the tool into a 33-item version and tested it in a separate sample (n = 286; 63% females; M = 21.3, SD = 4.7 years). We then conducted confirmatory factor analysis and examined test–retest reliability and convergent and discriminant validity. We confirmed an acceptable model fit for this Portuguese version (MAIA-P) with 33 items and seven scales; it showed good construct validity and acceptable temporal reliability, The MAIA-P appears to be valuable for assessing self-reported interoceptive awareness in Portuguese healthy adults.
Synthesis and Characterization of New 3,5-Dinaphthyl Substituted 2-Pyrazolines and Study of Their Antimicrobial Activity

A number of chalcones were prepared by condensing either 1-acetylnaphthalene or substituted 1-acetylnaphthalenes with 1-naphthaldehyde or 4-dimethylamino-1-naphthaldehyde in ethanolic NaOH solutions. These chalcones were immediately reacted with hydrazine hydrochloride, phenyl hydrazine and semicarbazide hydrochloride in the presence of dry acetic acid to obtain the corresponding 2-pyrazolines. The synthesised heterocycles were characterized on the basis of their chemical properties and spectroscopic data. These compounds were tested for antimicrobial activity against a variety of test organisms: Escherichia coli, Staphylococcus aureus, Klebsiella pneumoniae, Proteus mirabillis, Shigella dysentry and Salmonella typhii. The compounds containing chloro, hydroxo and dimethylamino -N(CH3)2 group as substituents on the naphthalene rings have been found to be very effective antimicrobial agents. In addition, the presence of a carboxamido -CONH2 substituent group at the N-1 position of the 2-pyrazoline rings is shown to contribute substantially to the antimicrobial activity.
Blockchain Enabled Internet-of-Things Service Platform for Industrial Domain

The Internet of things(IoT) is predicted to connect millions of devices. Therefore, standardized IoT technologies play a crucial role connecting massive IoT devices with interoperability. Various Standards Development Organizations (SDO) are working towards a horizontal solution that would fit several vertical platforms including oneM2M global IoT service layer standards initiative. Blockchain is a distributed ledger technology which is being applied in diverse applications such as crypto currency and smart contract. In this demo, we develop a blockchain-enabled IoT service layer platform based on oneM2M IoT standards and an blockchain hybrid application. We use a blockchain system named Logchain that is suitable for IoT due to its consensus algorithm. The hybrid application and oneM2M optional attribute added to the IoT platform enables the IoT users to either store their data in a conventional database or distributed ledger database.
Wireless Power Transfer via Metamaterial and Superconducting Coil For Electric Vehicles

This paper focuses on wireless power transfer (WPT) as a practical means for electric vehicle charging using metamaterial slab and superconducting resonating coil. Smart cities has smart vehicles which runs on electricity as its only source, hence a separate station built at the path of journey has two resonating coils, one placed with high-temperature superconducting (HTS) antenna beneath the surface and another with receiver coil placed inside the vehicle having metamaterial slab between it. As superconductor provide large current density and high Q value thus enables HTS antenna to deliver large amount of electricity in spite of a small-scale antenna, thus makes it an efficient power transfer circuit. Experiment result show that resonant method of coupling provides more efficient power transfer using metamaterial slab placed between these coils with much smaller coupling coefficient around 0.2 or less whereas inductive method of coupling has higher coupling coefficient around 0.9 or more. A prototype achieved 40% power transfer efficiency for inserted resonator within 2m distance.
First Report of Bitylenchus hispaniensis, Pratylenchoides alkani, and Helicotylenchus vulgaris in Association with Cultivated and Wild Olives in Crete, Greece and Molecular Identification of Helicotylenchus microlobus and Merlinius brevidens

Abstract Nematode samplings in cultivated and wild olive in Crete, Greece, yielded the presence of Bitylenchus hispaniensis, Helicotylenchus microlobus, Helicotylenchus vulgaris, Merlinius brevidens, and Pratylenchoides alkani. With the exception of H. microlobus and M. brevidens, reports of these plant-parasitic nematode species constitute new records for Greece. Bitylenchus hispaniensis is also reported for first time in a country outside of Spain, where it was originally described. Pratylenchoides alkani is herein reported for the second time in the Mediterranean area and for the first time in association with olive. Two further populations of H. microlobus and H. vulgaris, from walnut and goji berry from Greece, were identified. Molecular data for all of these nematode species are provided, resulting in the first integrative identification of these Greek populations.
NotPetya: Cyber Attack Prevention through Awareness via Gamification

NotPetya, when released in 2017, was believed to be ransomware. NotPetya injects malicious codes in the computer and then attempts to gain administrator access. Following that, it infects other computers in the network. NotPetya uses the EternalBlue Server Message Block (SMB) exploit to conduct the attacks. The hard drives get encrypted, and when the computer is booted, the ransom note is displayed. NotPetya does not provide enough information for a decryption key to be produced, making it a malware. Businesses across industries have been affected without having an opportunity for system recovery. While definite solutions are lacking, vaccines exist, where, the presence of a local file, blocks the NotPetya execution. Activating the vaccine can be tedious and cumbersome for average computer users. Hence, our solution is intended to educate them in an interactive manner. Users will be more susceptible towards the vaccination while learning about security habits that need to be practiced. From this, average computer users can walk away with the knowledge that can protect them from future attacks.