Miracle-dz/UniFAR-FTUs huggingface dataset:
Development of Experimental Multi-Robot System for Network Connectivity Controls

This paper reports some results of network connectivity control experiments using a multi-robot system which we developed. Although a lot of connectivity control algorithms for a multi-robot network are proposed, almost all of them are verified only on computer simulations or using experimental robots with centralized sensors and controllers. To execute experimental verifications of connectivity control algorithms on a distributed robotic system, we developed an experimental multi-robot system. Hardware installed on the robot and information flow from sensors to actuators are detailed. Some results of measurement experiments are shown to estimate accuracy to detect a neighbor position. Then, results of connectivity control experiments using the developed multi-robot system are discussed.
Electron-impact excitation of Ne5+

We present the results of an 83-term, 180-level intermediate-coupling frame-transformation (ICFT) R-matrix close-coupling calculation of the electron-impact excitation of boron-like Ne5+. All levels of the 2s22p, 2s2p2, 2p3, 2s23l, 2s24l, 2s2p3l, 2p23l, 2s2p4s, 2s2p4p, and 2s2p4d configurations are included in the close-coupling expansion. This sizable calculation was performed using our new ICFT R-matrix codes designed for distributed-memory parallel computers. We compare our results from this calculation with those from our 11-term 20-level ICFT calculation and an earlier eight-term 15-level R-matrix calculation. Here we describe the nature of these calculations and present radiative rates and effective collision strengths for a selected number of the 16 110 transitions resulting from this work. The full set of data is available at the Oak Ridge National Laboratory Controlled Fusion Atomic Data Center Web site.
Health information seeking behaviour of residents of Ota, Ogun State, Nigeria

This study evaluated how inhabitants of Ogun State, Nigeria's cosmopolitan districts, sought for health information. In order to acquire quantitative data from patients using diagnostic centers in Ogun State, Nigeria's cosmopolitan areas, this study used a non-experimental descriptive survey approach. Residents who visited diagnostic centers in Ogun State, Nigeria's cosmopolitan neighborhoods were the study's target group. A total of 200 residents who regularly used the chosen diagnostic facilities were chosen as a sample for the study. For each chosen diagnostic facility, the sample size was determined proportionally to the entire patient population. A structured questionnaire with both closed-ended and open-ended questions was created in accordance with the objective and literature review. The study's data was analyzed utilizing pertinent statistical methods. For the particular goals, frequency counts, percentage distributions, and the Relative Importance Index (RII) were calculated. The Statistical Package for Social Sciences (SPSS) version 20 was used to do this. Findings showed that patrons of medical diagnostic centers in Ogun State's cosmopolitan regions did so because they trusted private hospital doctors' clinical judgment and the precision of their diagnoses. According to additional research, factors influencing patient choice included price of care, the opportunity to consult with more experienced doctors, accessibility, staff attitudes, availability of quality diagnostic services, non-availability in public facilities, and the ability to trust a doctor's clinical judgment, among others. Studies have revealed that Nigerians seek incorrect health care. The results also showed that the most significant barriers to health-seeking behavior in the selected medical diagnostic facilities included high costs of care, the lack of some services at public facilities, staff attitudes, problems with quality diagnostic services, encountering more experienced doctors, incomplete reports in other facilities, the lack of accuracy of results, a lack of confidence in doctors' clinical judgment, and poor facility management. The study came to the conclusion that the diagnostic centers' medical staff's opinions were more valued and their services were more complete than those offered by the public health institutions in the same region.
Mechanisms of the Coregulation of Multiple Ionic Currents for the Control of Neuronal Activity

An open question in contemporary neuroscience is how neuromodulators coregulate multiple conductances to maintain functional neuronal activity. Neuromodulators enact changes to properties of biophysical characteristics, such as the maximal conductance or voltage of half-activation of an ionic current, which determine the type and properties of neuronal activity. We apply dynamical systems theory to study the changes to neuronal activity that arise from neuromodulation. Neuromulators can act on multiple targets within a cell. The coregulation of mulitple ionic currents extends the scope of dynamic control on neuronal activity. Different aspects of neuronal activity can be independently controlled by different currents. The coregulation of multiple ionic currents provides precise control over the temporal characteristics of neuronal activity. Compensatory changes in multiple ionic currents could be used to avoid dangerous dynamics or maintain some aspect of neuronal activity. The coregulation of multiple ionic currents can be used as bifurcation control to ensure robust dynamics or expand the range of coexisting regimes. Multiple ionic currents could be involved in increasing the range of dynamic control over neuronal activity. The coregulation of multiple ionic currents in neuromodulation expands the range over which biophysical parameters support functional
Path planning algorithm of mobile robot based on combination of fuzzy inference and reinforcement learning

This paper combines fuzzy inference algorithm with the simulated annealing modified Q (λ) learning algorithm to solve the problem of robot who avoids obstacles in unknown environments. The system learns autonomously by itself without supervision or any prior training data. One of the popular methods for path planning algorithm is improved simulated annealing Q (λ)-learning. The fuzzy logic control is utilized to solve the generalization of continuous space. The combination of the two algorithms can solve the generalization of the continuous state space. Another advantage is that it can reach the balance of the exploration and utilization of the action strategy. The Simulation results exhibit the effectiveness of the proposed method compared with the original method.
Research on visual odometry based on large-scale aerial images taken by UAV

In the actual operation scenario, we usually want to measure the trajectory of the UAV performing the task. This can be achieved by many different means. For example, we can obtain the motion state estimation of UAV by obtaining sensor information such as GPS, RTK and IMU. Alternatively, the velocity and acceleration of the UAV can be measured and its displacement can be calculated by integration. The device (including hardware and algorithm) to complete this motion estimation is called odometry. Considering the efficiency and cost, we hope to complete the devise of odometry visually. The target of visual odometry (VO) is to estimate the motion of the camera according to the captured image. This paper presents a method based on feature extraction and incremental pose estimation, which can accurately calculate motion state of UAVs through aerial images taken by its own.
Growing concerns on male reproductive health amidst COVID-19 pandemic

Blood–testis barrier is body's innate mechanism to defend germ cells by creating a physical and immunological barrier. But some viral infections are known to evade it. As ACE2 and TMPRSS2 are present all over the body including male reproductive tract, it is worth exploring how coronavirus disease (COVID-19) could possibly affect male fertility. A review of literature was done using search engines like PubMed, Medline, Google Scholar, etc., and all the latest articles up to May 2021 were considered. Some studies have substantiated the presence of orchitis in COVID patients using semen and tissue samples. Though most studies report the absence of virus in testis, involvement of seminiferous tubules has been seen in pathological analysis suggesting defective spermatogenesis. This can be primarily attributed to inflammation and increased vascular permeability. Other factors that could affect male fertility are fever, autoimmune response, drugs, and erectile dysfunction. Male fertility is an important aspect of health care and must be looked into. Further studies can be done to understand host immunity towards SARS-CoV-2 in the testis. It will be worthwhile to know whether viral orchitis and its sequelae are acute or chronic in nature, and if they are reversible. Effect of the virus on female reproductive tract can also be assessed further. Counselling can be given to affected/recovering patients along with correct selection of drugs to prevent these long-term complications.
MULTIGRID METHODS FOR COUPLED FLUID-SOLID PROBLEMS

A methodology for the usage of multigrid techniques for the numerical solution of coupled fluid-solid problems is presented. The treatment of thermal and/or mechanical fluid-solid coupling is based on the concept of block-structured moving grids also allowing for the handling of complex geometries. Discretisation is performed by a second-order finite-volume approach and the resulting algebraic systems are solved with a global nonlinear multigrid method with a pressure-correction based scheme as smoother and coarse grid solver. By a number of numerical examples involving various coupling mechanisms the method is investigated with respect to its accuracy and numerical effi- ciency.
The Impact of Different Pretreatment Processes (Freezing, Ultrasound and High Pressure) on the Sensory and Functional Properties of Black Garlic (Allium sativum L.)

Black garlic (BG) is an emerging derivative of fresh garlic with enhanced nutritional properties. This study aimed to develop functional BG products with good consumer acceptance. To this end, BG was treated with freezing (F-BG), ultrasound (U-BG), and HHP (H-BG) to assess its sensory and functional properties. The results showed that F-BG and H-BG had higher S-allyl-cysteine (SAC), polyphenol, and flavonoid contents than BG. H-BG and F-BG displayed the best sensory quality after 18 days of aging, while 5-hydroxymethylfurfural (5-HMF), SAC, and polyphenols were identified as the most influential sensory parameters. Moreover, the F-BG and H-BG groups achieved optimal taste after 18 days, as opposed to untreated BG, which needed more than 24 days. Therefore, the proposed approaches significantly reduced the processing time while enhancing the physical, sensory, and functional properties of BG. In conclusion, freezing and HHP techniques may be considered promising pretreatments to develop BG products with good functional and sensory properties.
Does the Consolidated Feed Matter?

In this paper we examine the role of the consolidated feeds in the current U.S. equities market by studying exogenous events which affect their speed and availability respectively. We find that faster consolidated feeds have an adverse, albeit mild, impact on market liquidity, possibly as a result of more non-high-frequency algorithmic trading activities from informed institutional traders. Moreover, when the consolidated feeds become corrupted or unavailable due to technical glitches, market liquidity significantly worsens. Our findings suggest that the consolidated feeds remain a crucial component of today’s market data infrastructure. ∗School of Business and Economics, Vrije Universiteit Amsterdam. Email: s.yu@vu.nl. I thank Albert J. Menkveld, Bart Yueshen Zhou, Björn Hagströmer for their helpful suggestions and discussions. In addition, I thank participants at the Microstructure Exchange online seminar series for their helpful comments. I gratefully acknowledge Netherlands Organization for Scientific Research (NWO) for a Research Talent grant.
Design of the Ultra-Wideband Antenna with 5.2 GHz/5.8 GHz Band Rejection Using Rectangular Split-Ring Resonators (SRRS) Loading

This paper presents the design and fabrication of a band rejection ultra-wideband (UWB) antenna integrated with rectangular split-ring resonators (SRRs) etched on both sides of the circular radiating patch. The proposed band rejection UWB antenna has the impedance bandwidth of about 3.1 ∼ 11.7 GHz within VSWR ≤ 2 and a notched frequency band of about 5.1 ∼ 5.9 GHz. The proposed antenna is fed by the CPW line, and it is a monopole type with SRR rejecting 5.15 ∼ 5.825 GHz band limited by the WLAN (IEEE802.11a/n).
Aspect based sentiment analysis using multi‐criteria decision‐making and deep learning under COVID‐19 pandemic in India

Abstract The COVID‐19 pandemic has a significant impact on the global economy and health. While the pandemic continues to cause casualties in millions, many countries have gone under lockdown. During this period, people have to stay within walls and become more addicted towards social networks. They express their emotions and sympathy via these online platforms. Thus, popular social media (Twitter and Facebook) have become rich sources of information for Opinion Mining and Sentiment Analysis on COVID‐19‐related issues. We have used Aspect Based Sentiment Analysis to anticipate the polarity of public opinion underlying different aspects from Twitter during lockdown and stepwise unlock phases. The goal of this study is to find the feelings of Indians about the lockdown initiative taken by the Government of India to stop the spread of Coronavirus. India‐specific COVID‐19 tweets have been annotated, for analysing the sentiment of common public. To classify the Twitter data set a deep learning model has been proposed which has achieved accuracies of 82.35% for Lockdown and 83.33% for Unlock data set. The suggested method outperforms many of the contemporary approaches (long short‐term memory, Bi‐directional long short‐term memory, Gated Recurrent Unit etc.). This study highlights the public sentiment on lockdown and stepwise unlocks, imposed by the Indian Government on various aspects during the Corona outburst.
Lithium-Ion Cell Characterization, Using Hybrid Current Pulses, for Subsequent Battery Simulation in Mobility Applications

In this paper, a characterization method for a lithium iron phosphate (LFP) pouch cell is presented and evaluated, using a method that applies to hybrid current pulses called hybrid power pulse characterization (HPPC). The purpose of the study is to validate the developed mathematical model capable of offering good results for virtualization of the cell with extrapolation capability for the entire battery. This type of characterization was tested before but on cells with low capacity where relatively small currents were applied. Here, the model is intended to be used for the development of electrical mobility applications, such as electric vehicles (EV) and electric vehicle supply equipment (EVSE), where high capacity and currents are required through the cell. The comparison between the real and simulated cell was made with two sets of results obtained from HPPC and using the FTP-72 speed profile by emulating real current conditions, where both show that the method is reliable under the tested conditions and can be used for the considered application.
Review of Learning-Based Robotic Manipulation in Cluttered Environments

Robotic manipulation refers to how robots intelligently interact with the objects in their surroundings, such as grasping and carrying an object from one place to another. Dexterous manipulating skills enable robots to assist humans in accomplishing various tasks that might be too dangerous or difficult to do. This requires robots to intelligently plan and control the actions of their hands and arms. Object manipulation is a vital skill in several robotic tasks. However, it poses a challenge to robotics. The motivation behind this review paper is to review and analyze the most relevant studies on learning-based object manipulation in clutter. Unlike other reviews, this review paper provides valuable insights into the manipulation of objects using deep reinforcement learning (deep RL) in dense clutter. Various studies are examined by surveying existing literature and investigating various aspects, namely, the intended applications, the techniques applied, the challenges faced by researchers, and the recommendations adopted to overcome these obstacles. In this review, we divide deep RL-based robotic manipulation tasks in cluttered environments into three categories, namely, object removal, assembly and rearrangement, and object retrieval and singulation tasks. We then discuss the challenges and potential prospects of object manipulation in clutter. The findings of this review are intended to assist in establishing important guidelines and directions for academics and researchers in the future.
A survey on queue scheduling algorithms in a router

The use of scheduling algorithms is the key to bandwidth management in the field of network transmission. The quality of service guarantee of data streams needs to be combined with proper queue scheduling algorithms for the network QoS to be maximized. Fairness, delay performance and bandwidth utilization are the criteria for evaluating queue scheduling algorithms. The fairness and delay of the algorithm are the main reference indicators for the design of the scheduling algorithm, and the simplicity and scalability of the algorithm are guaranteed as much as possible based on the above two indicators, but the complexity of the algorithm is often contradictory to the delay and fairness, so it should be considered in an integrated manner to achieve the optimal design. In this paper, we comprehensively review the literature on this topic and propose classification criteria to present and qualitatively compare existing queue scheduling algorithms based on the above algorithm evaluation metrics.
Assessment of the Agglutination Test for the Identification of Staphylococcus Aureus Isolates

Background: Staphylococcus aureus are among the most important and several pathogens in human infections. Objectives: The objectives of this study are to evaluate the efficacy of the agglutination test in the detection of Staphylococcus aureus in the laboratory and to identify the factors associated with staphylococcal infections. Methods: It is a prospective study of 100 isolates of staphylococci in a period of nine months from May 2021 to January 2022 in the University Hospital of Befelatanana. Results: Among of the 100 isolates of staphylococci, 49 (49%) were represented by Staphylococcus aureus. Concerning the prediction performance of the agglutination test, it has a sensitivity of 93.8%, a specificity of 100%, a positive predictive value of 100% and a negative predictive value of 94.7%. Concerning the associated factors, the men (63%) (p=0.002), the patients aged 40 to 59 years (63%) (p=0.3; NS) and with suppuration (75%) (p=0.004) were the most affected by Staphylococcus aureus. Moreover, Staphylococcus aureus was often identified in pus samples (72.4%) (p=0.0009). Conclusion: In brief, agglutination test is a good test and can replace the standard gold test for the detection of Staphylococcus aureus.
Restraint and Seclusion Procedures With Children With Autism Spectrum Disorder

Physical and mechanical restraints and seclusion are currently used as emergency procedures in public schools across the United States. Students who exhibit dangerous, aggressive, or self-injurious behaviors are more likely to be restrained or secluded in school. Since many students with autism spectrum disorder exhibit one or more of these behaviors, they are even more likely to be subjected to these restrictive interventions. Policy on restrictive interventions is not outlined in the Individuals with Disabilities Education Improvement Act (IDEIA) of 2004, the federal special education law, leaving states to determine their own policies. Issues surrounding current policy and law on restraint and seclusion, as well as recommendations, are discussed.
DYNAMICS OF COLLABORATIVE GOVERNANCE IN COMMUNITY-BASED INTEGRATED CHILDREN PROTECTION (PATBM) DURING THE COVID-19 PANDEMIC IN INDONESIA

Child protection is the responsibility of all parties, especially children are the key to the future of a nation. Therefore, the government does not work alone but requires synergy with other parties such as the private sector, universities, mass media, and the community where the children live and work. The governance model that involves multi-stakeholders to make public decisions is known as collaborative governance. Collaborative governance is one of the new strategies of government that involves various stakeholders in a forum to make joint decisions that aim to solve problems that exist in society. One of the collaborative networks in child protection initiated by the Ministry of Women's Empowerment and Child Protection (WECP) since 2016 is known as the Community-Based Integrated Child Protection (PATBM) movement. PATBM during the COVID-19 pandemic was part of efforts to fulfil children's rights, especially in preventing and responding to cases of violence against children at PATBM locations.
Influence of Viscose Fibre Geometry on the Structure–Property Relationships of High-Density Polyethylene Composites

This study investigated the influence of viscose fibre (VF) geometry on the microstructures and resulting properties of high-density polyethylene (HDPE) composites. Seven types of viscose fibres varying in cross-section shape, linear density, and length were pelletised, compounded into HDPE with a twin-screw extruder, and injection moulded. The microstructures of the composites were characterised by investigating their cross-sections and by extracting the fibres and measuring their lengths using optical microscopy (OM). The mechanical and thermal properties of the composites were characterised using differential scanning calorimetry (DSC), tensile tests, Charpy impact tests, and dynamic mechanical analysis (DMA). The composites prepared using cylindrical fibres with a linear density of 1.7 dtex exhibited the best fibre dispersion, highest orientation, and lowest fibre–fibre contact area. The decrease in the linear density of the cylindrical fibres resulted in increasingly worse dispersion and orientation, while composites containing non-cylindrical fibres exhibited a comparably larger fibre–fibre contact area. The initial fibre length of about 3 to 10 mm decreased to the mean values of 0.29 mm to 0.41 mm during processing, depending on the initial geometry. In general, cylindrical fibres exhibited a superior reinforcing effect in comparison to non-cylindrical fibres. The composites containing cylindrical fibres with a linear density of 1.7 dtex and a length of 5 mm exhibited the best reinforcing effect with an increase in tensile modulus and strength of 323% and 141%, respectively.