Miracle-dz/UniFAR-FTUs huggingface dataset:
An in silico molecular modeling approach of halolactone derivatives as potential inhibitors for human immunodeficiency virus type-1 reverse transcriptase enzyme

Abstract Acquired Immune Deficiency Syndrome (AIDS) is an infectious disease caused by Human Immunodeficiency Virus (HIV) infection and its replication requires the Reverse Transcriptase (RT) enzyme. RT plays a key role in the HIV life cycle, making it one of the most important targets for designing new drugs. Thus, in order to increase therapeutic options against AIDS, halolactone derivatives (D-halolactone) that have been showed as potential non-nucleoside inhibitors of the RT enzyme were studied. In the present work, a series of D-halolactone were investigated by molecular modeling studies, combining Three-dimensional Quantitative Structure-Activity Relationship (3 D-QSAR), molecular docking and Molecular Dynamics (MD) techniques, to understand the molecular characteristics that promote biological activity. The internal and external validation parameters indicated that the 3 D-QSAR model has good predictive capacity and statistical significance. Contour maps provided useful information on the structural characteristics of compounds for anti-HIV-1 activity. The docking results showed that D-halolactone present good complementarity by the RT allosteric site. In MD simulations it was observed that the formation of enzyme-ligand complexes were favorable, and from the free energy decomposition it was found that Leu100, Val106, Tyr181, Try188, and Trp229 are key residues for stabilization in the enzymatic site. Thus, the results showed that the proposed models can be used to design promising HIV-1 RT inhibitors. Communicated by Ramaswamy H. Sarma
Planning Municipal Solid Waste Management in Africa: Case Study of Matadi - The DRC

The purpose of this article is to present the key elements for best performance and profitability of Municipal Solid Waste (MSW) management in Matadi, the Democratic Republic of Congo. The research provides an overview of methods and models for integrated planning of a two-phase program: MSW collection and transportation and MSW treatment. Matadi has a very poor infrastructure and very low level of the MSW management. We present a comparison table of MSW quantity and composition in Matadi and other African cities. We develop a model for collection and transportation of MSW in Matadi. The greenhouse gases emissions (GHG) as a result of open burning of MSW are predicted using the Clean Development Mechanism (CDM) guidelines and formulas. CDM methodology and decay model are used to predict the GHG emissions in disposal site and calculate carbon grants. The Anaerobic Digestion technology is selected as the most appropriate for MSW treatment plant in case of Matadi. The key factors that ensure profitability of MSW treatment plant are as follows: tipping fee from the municipality (19% of total revenue), amount of carbon credits which can sum up to 14% of the total revenue, expansion of waste collection range from 25 to 50 km, local abilities like labor costs and municipality budget support. The methodology of our study can promote other low-income African cities in the solution of waste problem, particularly when starting from a very low level of MSW management.
An Autonomous Locomotion Control of a Multi-Joint Snake-Like Robot with Consideration of the Dynamic Manipulability

In this paper, we discuss an autonomous locomotion control of a snake-like robot which is modeled by some links with passive wheels. When the robot locomotes windingly, it should always keep the high locomotable shape, because its locomotability depends on its own shape. Then, we utilized a notion of manipulability to evaluate the locomotability, and proposed a controller to make it autonomously locomote in a desired direction without decreasing the manipulability. In this method, the robot spontaneously generates its gait, so we don't need to design any gaits. Moreover, by some simulations, it was proved that the method realizes the autonomous locomotion without taking singular postures.
MULTIFREQUENCY SELF-DIPLEXED SINGLE PATCH ANTENNAS LOADED WITH SPLIT RING RESONATORS

In this paper, a novel approach to design multifrequency self-diplexed single patch antennas is proposed. This approach is based on a square microstrip patch antenna loaded with split ring resonators (SRRs). The working frequencies can be arbitrarily chosen and frequency ratios lower than 1.07 have been achieved. In addition self-diplexing characteristics are also achieved between transmitting and receiving ports by including SRRs in the feeding lines. Several prototypes have been manufactured and measured in the X-band showing good performance.
Pengaruh Good Corporate Governance, Profitabilitas dan Kebijakan Dividen terhadap Nilai Perusahaan

The aim of this study is to test empirically the effect of managerial ownership, institutional ownership, profitability, and dividend policy on firm value. The population in this study are all companies listed on the Indonesia Stock Exchange in the 2017-2019 period. The sampling technique used in this study was a purposive sampling method. The sample obtained was 105 companies with 3 years of observation. The data analysis model in this study is panel data regression using EViews10 software. The result of the research shows that managerial ownership, institutional ownership, profitability and dividend policy have a significant influence to firm value. Meanwhile, managerial ownership,institutional ownership, profitability have asifnificant influence to firm valye partially. But dividend policy have no significant influence to firm value partially.
A spiral passive electromagnetic sensor (SPES) for wireless and wired structural health monitoring

A major goal of structural health monitoring (SHM) in the past decade has been to improve crack detection and monitoring while reducing maintenance and installation costs. This would normally require placing many sensors over a large area, powering and interrogating them. On the other hand, operational aspects such as the temperature effects, battery life, and weight penalties have fundamental roles in the sensor design. In addition, small dimension of the sensors, low cost, and non-contact measurement system for data retrieval are very often required. We present a non-destructive evaluation/structural health monitoring (NDE/SHM) sensor that can be remotely interrogated without any wiring for data transmission or power supply. A spiral passive electromagnetic sensor (SPES) was designed and fabricated. The sensor is a planar 2D inductor circuit of scalable size that resonates at a characteristic frequency when exposed to an electromagnetic field. The specific frequency is dependent on the inductance of the inductor, its parasitic capacitance and resistance, and the electrical properties of the surrounding area. A change in a material’s permittivity or permeability due to damage can be sensed through the SPES device. The sensor was tested by using a passive wireless resonant telemetry scheme and a wired interrogation method. Both conductive (i.e. carbon fiber) and non-conductive (i.e. fiber glass) structures were monitored showing very promising capabilities and accuracy in detecting defects/damage in composite structures. The use of the proposed sensor eliminates the need for on-board power and exposed interconnects, reduces the instrumentation mass and volume, increases the reliability due to the continuous operation even in case of a damaged sensor, and increases the life of the device.
A fast assistant decision-making system on the emergent maneuver of the tracking ship

This paper studies a fast assistant decision-making system on the emergent maneuver of the tracking ship, adopting the design method of the emergent working state of the tracking ship based on the meteorological prediction, the virtual display technology based on the multi-stage mapping, and the 2-dimension area algorithm based on the line-scanning. It solves problems that the tracking ship met during working, such as the long TT&C time, the dense crucial observation arc, the complicated working flow, and the changeful scheme. It established the hard basement for the fast design of the emergency working state when the tracking ship in the awful sea conditions.
Selected Factors Determining the Adoption and Use of Participatory Budgeting in Central and Eastern Europe

This is a summary article of the SJPS thematic issue on participatory budgeting in the Central and Eastern European region. Its authors provide an overview of the diffusion of participatory budgeting, and they classify relevant countries in terms of the pace of this diffusion into four different groups: frontrunners, early majority, later majority, and lagging adopters. In addition, they uncover various diffusion mechanisms that have been used. Since the research articles included in this thematic issue unpack various factors that influence the diffusion of the innovative practice of participatory budgeting in the specific settings of Central and Eastern Europe, the main goal of this article is to sum up their crucial findings and formulate several conclusions, including a few avenues for further research. A clear majority of countries in the region have already collected a relevant amount of experience with the adoption and further use of participatory budgeting. An analysis of the individual experiences reveals that the position and characteristics of mayors, organizational resources, and available capacities, as well as the quality of public trust, are likely to be important factors that determine the adoption and use of participatory budgeting in the region.
A Study on the Control of the Rotational Maneuvers of a Robot in Midair

The purpose of this research is for the control of the rotational maneuvers of a robot in midair. The methods of rotational maneuvers divide into 2 groups. One group uses nonzero initial angular momentum, and the other group uses zero angular momentum. In this paper the authors confirm experimentally that a robot can turn over with zero angular momentum without any external forces. And the control method of the rotational maneuvers of a jumping robot in midair is discussed. Rotational maneuvers are made up by a change of the inertia moment of the robot about the axis of the center of gravity. The authors also propose a way to calculate joint trajectories of the robot approximately by giving the initial and the final value of its configuration angles and joint variables.
MODELADO DE CANAL INALÁMBRICO OFDM, HACIA LAS COMUNICACIONES 4G. OFDM WIRELESS CHANNEL MODELING, TOWARDS TO 4G COMUNICATIONS.

The increasing application of digital wireless communications needs constant development of techniques, protocols and, transmission technologies that allow greater capacity of services of communication in a hostile conduit with limited spectrum allocation, as it happens in a wireless channel. The knowledge of the wireless channels characteristics is key for the design and development of transmission systems therefore; measurements and characterization of the channel are fundamental to develop proper models and thus establish adequately different application scenarios and allow evaluation of such developments. This article emphasizes wireless channel modeling under Non Line Of Sight (NLOS) propagation with multipath condition directed to 4G communications. In such outdoor environment, to mitigate distortion and degradation that suffers the received signal there several techniques that attack first distortion and then fading. Distortion can be attacked in a variety of forms: equalization, expanded spectrum, OFDM, transmission of pilot signals, robust modulations, codification and interlaced, etc. whilst degradation can be attacked using channel codification and signal diversity (spatial, frequential, temporary, polarization, etc.).
Automated breast cancer detection system from breast mammogram using deep neural network

All over the world breast cancer is a major disease which mostly affects the women and it may also cause death if it is not diagnosed in its early stage. But nowadays, several screening methods like magnetic resonance imaging (MRI), ultrasound imaging, thermography and mammography are available to detect the breast cancer. In this article mammography images are used to detect the breast cancer. In mammography image the cancerous lumps/microcalcifications are seen to be tiny with low contrast therefore it is difficult for the doctors/radiologist to detect it. Hence, to help the doctors/radiologist a novel system based on deep neural network is introduced in this article that detects the cancerous lumps/microcalcifications automatically from the mammogram images. The system acquires the mammographic images from the mammographic image analysis society (MIAS) data set. After pre-processing these images by 2D median image filter, cancerous features are extracted from the images by the hybridization of convolutional neural network with rat swarm optimization algorithm. Finally, the breast cancer patients are classified by integrating random forest with arithmetic optimization algorithm. This system identifies the breast cancer patients accurately and its performance is relatively high compared to other approaches.
OTT_A_342292 23..30

1Dalton Cardiovascular Research Center, University of Missouri, Columbia, MO, 65211, USA; 2Department of Biomedical Sciences, University of Missouri, Columbia, MO, 65211, USA Abstract: Tumor suppressor p53 protein (p53) plays a vital role throughout the body to conserve DNA stability and prevent cancer. Normally, wild-type p53 protein (wtp53) is either degraded or bound to a negative regulator and is inactive. When damage to DNA occurs within a cell, p53 protein is induced and causes cell cycle arrest. This gives cells a chance to repair, but if damage is too severe, cells undergo apoptosis and are rejected. Mutations in the p53 gene (mtp53) are associated with a variety of cancers and occur in 70– 80% of cases of triple-negative breast cancer (TNBC). Importantly, many mutations occur in the DNA binding domain of p53 gene and the altered mutant p53 protein (mtp53) is subsequently not degraded. High levels of mtp53 protein accumulate within the cell, leading to the development of tumors. Therefore, converting mtp53 protein back into its functional wild-type conformation is a promising means by which to prevent or reverse tumor development. Herein we will briefly examine how tumor suppressor wtp53 exerts its effects, the mechanisms involved in protecting cells that undergo DNA damage and ways in which wtp53 prevents tumorigenesis. Using TNBC as an example, we will describe the use of specific compounds to reactivate mtp53 protein function by reconfiguring its structure and outline the potential benefits of mtp53 protein reactivation. We will also briefly discuss current clinical trials aimed at reactivating mtp53 protein in order to cure certain cancers. Finally, we make the recommendation that greater emphasis should be placed on testing naturally occurring compounds that are generally non-toxic to re-activate mtp53 protein and control progression of TNBC.
Development of a Genetic Algorithm Model: GAP

This paper proposes a model for computer-assisted-learning in genetic algorithms, and a prototype GAP has been developed. GAP is an acronym that stands for Genetic Algorithms Platform. GAP allows student to input his/her own evaluation function, population size, number of generations, and etc. Standard cross-over methods are provided by GAP such as one-point, two-point and uniform cross-over. In addition, it can accept student defined cross-over method to produce the fittest offspring. GAP is mainly used for the purpose of demonstrating the feasibility and operations of the model. Its study and development are funded by the Educational Development Group of the Hong Kong Polytechnic University.
DO INDEPENDENT COMMISSIONERS CONTROL THE FAMILY-OWNED BUSINESS CHARACTERISTICS EFFECTS ON DIVIDEND POLICY?

Article History: Received: 2021-06-29 Revised: 2021-07-15 Accepted: 2021-07-28 Abstract: This study aims to determine the role of independent Commissioners to control the effect of family-owned business characteristics on dividend policy. This study construct panel data that estimate using panel regression with a fixed-effect model. The model is estimated using financial data of 64 Indonesian manufacturing companies that were observed from the period 20162018. The result showed that family-owned business characteristics have a positive effect on dividens. The Independent Commisioners were able to control the effect of family business characteristics on the dividend policy. The Independent Commissioners have a role in reducing the positive effect of family-owned businesses characteristics on dividends.
BALANCED MESSAGING FOR EXPERIENCED LAPTOP CONSUMERS PENYAMPAIAN INFORMASI BERIMBANG PADA KONSUMEN LAPTOP BERPENGALAMAN

This research aims to obtain empirical evidence about the impact of “balanced messaging” (a marketing communication practice where both strengths and weaknesses of a product are communicated to consumers) in marketing communication on consumers’ brand loyalty. With three laptop brands being the subjects and university students in Indonesia being the sample, surveys with an experimental design were conducted. Participants (n = 90) were randomly grouped into those being exposed to product’s strengths only (Group A), product’s weaknesses (Group B), and product’s strengths and weaknesses (Group C) – with 30 participants in each group. Using ANOVA, the results indicate that balanced messaging can be as constructive as imbalanced messaging, which focuses merely on strengths in the context of brand loyalty. With several limitations, this preliminary study is expected to benefit marketers to create fairer marketing communication.
Supplementary Material for “Dynamic Normalization and Relay for Video Action Recognition”

Kinetics-400 [1] is a large scale action recognition dataset with trimmed video clips of around 10-second durations. It is collected from realistic YouTube videos, which covers 400 categories of human activities. In total, it contains around 240K training videos and 20K validation videos. Because of the expirations of some YouTube video links, the sizes of kinetics-400 dataset copies used in existing works may be different. The specific version of Kinetics-400 used in our experiments contains 240, 171 training videos and 19, 772 validation videos, which is almost the same as that used in official MMaction2 1 (with 240, 436 training and 19, 796 validation videos).
The body as a reservoir: locomotion and sensing with linear feedback

It is known that mass-spring nets have computational power and can be trained to reproduce oscillating patterns. In this work, we extend this idea to locomotion and sensing. We simulate systems made out of bars and springs and show that stable gaits can be maintained by these structures with only linear feedback. We then conduct a classiﬁcation experiment in which the system has to distinguish terrains while maintaining an oscillatory pattern. These experiments indicate that the control of compliant robots can be simpliﬁed if one exploits the computational power of the body’s dynamics.
Robust Stabilization of a Quadrotor Aerial Vehicle in Presence of Sensor Failures

The work proposed in this paper aims to design a robust stabilization of an underactuated quadrotor UAV system in presence of sensor failures. The dynamical model of quadrotor while taking into account various physical phenomena, which can influence the dynamics of a flying structure is presented. Subsequently, a new control strategy based on backstepping approach is developed. Lyapunov based stability analysis shows that the proposed control strategy design keep the stability of the closed loop dynamics of the quadrotor UAV even after the presence of sensor failures. Numerical simulation results are provided to show the good tracking performance of proposed control laws.
A Study on Kicking Motion Strategy for a Legged Robot

For generating a translational motion of a robot in a horizontal plane or under microgravity, it is possible to utilize an impact force between the end-effector and a surface such as a wall and the ground. In this paper, we consider a legged robot consisting of four links that pushes a certain surface to obtain a translational momentum in a horizontal plane. The motion that maximizes the momentum is searched for, under the condition that the torque consumption during it is the same, by numerical optimization. The optimization results indicate that the motion with an impact force that is caused by hitting the surface is advantageous in increasing the translational momentum. 
Study on the Correlation between Linguistic Complexity and Audience Recognition in College English Speech Contests

From the perspective of linguistic complexity, this paper explores the correlation between linguistic complexity and audience recognition in college English speech contests. By adopting the corpus construction and computer visualized data analysis, this study analyzes the speech of contestants at different levels in FLTRP Cup National English peaking Contest 2019-2020, the most authoritative college English speech contest in China. The study shows that: 1) In college English speech contests, the lexical complexity of the speech is negatively correlated with the recognition degree of the audience (i.e. the final ranking of the competition or the success of the speech). 2) The syntactic complexity of the speech exists reasonable interval to ensure good audience recognition. 3) In college English speech contests, the correlation between the lexical complexity and syntactic complexity of speeches and audience recognition is similar to the correlation between the rhetoric and audience recognition in political speeches which is obtained by previous researchers in the field of political speeches. Therefore, we think this study has a certain practical value. It provides evidence of linguistic complexity for predicting the winner of college English speech contests and helping contestants prepare for the contest better.
STEM CELLS, TISSUE ENGINEERING AND PERIODONTAL REGENERATION: A REVIEW

In this review we aim to discuss the clinical utility of stem cells in regeneration of periodontal tissue from recent studies. We contemplate the main stem cells used for periodontal regeneration, along with bone marrow-derived mesenchymal stem cells. Furthermore we elaborated about the stem cells derived from dental pulp, periodontal ligament, exfoliated human deciduous teeth, apical papilla along with dental follicle precursor cells. These stem cells in future can be utilized for the tissue regeneration in periodontal treatment.
Obtaining of medical textiles based on viscose and chitosan with simultaneously improved sorption and antibacterial properties by using dielectric barrier discharge

This study aimed to obtain textile based on viscose and chitosan with simultaneously improved sorption and antibacterial properties. For that reason, before functionalization with chitosan, the viscose fabric was modified by nonthermal gas plasma of dielectric barrier discharge (DBD) to introduce into its structure functional groups suitable for improved adsorption of chitosan. Functional groups' content of unmodified and DBD modified viscose fabric was determined by the calcium acetate method, while their influence on the surface charge, as well as the success of the functionalization of viscose fabrics with chitosan, was evaluated by measuring the zeta potential. Morphological, sorption and antibacterial properties of unmodified and DBD modified viscose fabrics, before and after functionalization with chitosan, were characterized by scanning electron microscopy, capillary rise method, and standard test method ASTME 2149-01: 2001, respectively. The obtained results showed that the treatment with DBD contributed to the simultaneous improvement of sorption and antibacterial properties of viscose fabric functionalized with chitosan, making it suitable for the production of high value-added medical textiles.