Miracle-dz/UniFAR-FTUs huggingface dataset:
System identification experiments on a large-scale unmanned helicopter for autonomous flight

Unmanned helicopters are now used to spray agricultural chemicals and take aerial photographs. In the near future, the aircraft are expected to be used for a wide array of activities, such as rescuing and fire fighting. Then, an autonomous flight control using several sensors typified by GPS is expected. In this paper, system identification experiments for a large-scale unmanned helicopter have been carried out. The helicopter is compensated by attitude control that permits the experiments during the flight. Using input and output data, system identification results are shown through numerical analysis. Moreover, the effectiveness of the identified model is demonstrated through a position control based on the H/sub /spl infin// control theory.
The Russian Language Corpus and a Neural Network to Analyse Internet Tweet Reports About Covid-19

This work is aimed at creating a tool for filtering messages from Twitter users by the presence of mentions of coronavirus disease in them. For this purpose, a corpus of Russian-language tweets was created, which contains the part of 10 thousand tweets that are manually divided into several classes with different levels of confidence: potentially have covid, have covid now, other cases, and an unmarked part – 2 million tweets on the topic of the pandemic. The paper presents the process of creating a corpus of tweets from the stage of data collection, their preliminary filtering and subsequent annotation according to the presence of disease description. Machine learning methods were compared according to classification task on tweets. It is shown that a model based on the XLM-RoBERTa topology with additional training on corpus of unmarked tweets gives the F1 score of 0.85 on binary classification task ("potentially have covid have covid now" vs "other"). This is 12% higher relative to the simplest model using TF-IDF encoding and SVM classifier and 5% higher relative to the RuDR-BERT-based model. The created toolkit will expand the feature space of models for predicting the spread of coronavirus infection and other pandemics by adding the dynamics of discussion on social networks, which characterizes people’s attitudes towards it. © Copyright owned by the author(s) under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0).
Deficits in skeletal muscle glucose metabolism and whole-body oxidative metabolism in the intrauterine growth-restricted juvenile lamb are improved by daily treatment with clenbuterol

© The Author(s) 2021. Published by Oxford University Press on behalf of the American Society of Animal Science. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. Transl. Anim. Sci. 2021.5:S20–S24 https://doi.org/10.1093/tas/txab187
Genomic Characteristics of Stx2e-Producing Escherichia coli Strains Derived from Humans, Animals, and Meats

Shiga toxin (Stx) can be classified into two types, Stx1 and Stx2, and different subtypes. Stx2e is a subtype commonly causing porcine edema disease and rarely reported in humans. The purpose of this study was to analyze the prevalence and genetic characteristics of Stx2e-producing Escherichia coli (Stx2e-STEC) strains from humans compared to strains from animals and meats in China. Stx2e-STEC strains were screened from our STEC collection, and whole-genome sequencing was performed to characterize their genetic features. Our study showed a wide distribution of Stx2e-STEC among diverse hosts and a higher proportion of Stx2e-STEC among human STEC strains in China. Three human Stx2e-STEC isolates belonged to O100:H30, Onovel26:H30, and O8:H9 serotypes and varied in genetic features. Human Stx2e-STECs phylogenetically clustered with animal- and food-derived strains. Stx2e-STEC strains from animals and meat showed multidrug resistance, while human strains were only resistant to azithromycin and tetracycline. Of note, a high proportion (55.9%) of Stx2e-STEC strains, including one human strain, carried the heat-stable and heat-labile enterotoxin-encoding genes st and lt, exhibiting a STEC/enterotoxigenic E. coli (ETEC) hybrid pathotype. Given that no distinct genetic feature was found in Stx2e-STEC strains from different sources, animal- and food-derived strains may pose the risk of causing human disease.
Can machine learning improve carbon storage? Synergies of deep learning, uncertainty quantification and intelligent process control

As we transition from fossil fuel to renewable energy, negative emission technologies, such ascarbon capture and storage (CCS), can help us reduce CO2 emissions. Effective CO2 storage requires: (1) detailed site characterization, (2) regular, integrated risk assessment, and (3) flexible design and operation. We believe that recent advances in machine learning coupled with uncertainty quantification and intelligent process control help us with these task and thus im-prove the efficiency and safety of subsurface CO2 storage.
The Cognitive Function Model

This paper describes a recent Phase I effort to identify methods that could be used to help better define, for designers and engineers, the role of the human in complex system design. This methodology is referred to as Cognitive Function Modeling (CFM). The effort was driven largely by the need to “reduce manning” on complex systems being designed for the military such as the Navy's next generation aircraft carrier (CVX) and cruiser (SC-21). The methodology presented here combines two existing tools, the Operator Function Model and Cognitive Task Analysis, and introduces a new technique to aid the designers and engineers in identifying the components of the new systems that have varying degrees of “cognitive complexity. ” By combining these techniques, the overall operator functions and tasks can be identified, they can be examined for cognitive complexity, and then, where needed, detailed cognitive task analyses can be applied. The goal of CFM is to provide the engineers and designers with four products: an overview of all of the tasks and functions associated with the operators; a clear indication of which of these tasks/functions are cognitively complex; a detailed cognitive analysis of these cognitively complex tasks/functions; and recommendations and cautions regarding designing for these specific tasks and functions. CFM provides the engineers and designers an overview of the areas where the roles and functions of the humans and computers need to be examined closely. It also highlights and describes the critical decisions, judgments, cues, challenges, and difficulties associated with these cognitively complex areas so the designers can better understand what their designs must address. Areas for future work are also briefly described.
Robotic Peg-in-Hole Assembly System Based on Vision and Fuzzy Control

A robotic peg-in-hole assembly system based on vision system and force feedback is studied. The whole assembly process consists of three stages. The first step is to locate the position of the hole through the vision system roughly and move the peg to the top of the hole. The next is to search for the center of the hole with the search trajectory of concentric circles after the peg is in contact with the edge of the hole. In the final stage, the insertion process is completed by using the active compliance control method of fuzzy control. Experiments on a six-degree-of-freedom robot arm verify the effectiveness of the assembly strategy.
Time variable transformers operating at a near-unity transfer ratio and some possible applications

Time variable transformer network elements are reviewed. Four special topologies are presented which are of benefit, especially in the vicinity of a unity overall transfer ratio. Analytical expressions are derived which indicate the resulting improvements in terms of energy conversion efficiency and systems power density (as well as expected cost). It is shown, that the use of the proposed topologies may, in some cases, improve these figures of merit by a factor of two or more. Additionally, when the time variable transformer realisation is achieved by means of switched mode converters, the dynamic characteristics, and consequently, the dynamic load regulation will improve significantly. Application of the resulting topology in an active ripple cancellation stage of a unity-power-factor rectifier clearly validates the proposed approach.
Waste Materials as a Resource for Production of CMC Superabsorbent Hydrogel for Sustainable Agriculture

Waste materials are receiving more attention as concerns about the future of our planet increase. Cellulose is the most common substance in agricultural waste. Agricultural wastes containing cellulose are misplaced resources that could be reused in various fields for both environmental and economic benefits. In this work, 32 different kinds of waste are investigated for chemical modification in order to obtain carboxymethyl cellulose for the production of a superabsorbent hydrogel that can be applied in agriculture. A brief literature review is provided to help researchers wishing to obtain carboxymethyl cellulose by carboxymethylation starting with waste materials. We also provide details about methods to obtain as well as verify carboxymethylation. Carboxymethyl cellulose (CMC), as a constituent of cellulosic water and superabsorbent hydrogels with applications in agriculture, is described. Superabsorbent hydrogels with CMC are able to absorb huge amounts of water and are biodegradable.
Robot Localization Using Laser Positioning of Reflectors Based on ICP

In this paper, the global localization for a mobile robot in the environment with reflectors arranged in advance is studied. The robot is equipped with a laser that allows to acquire the range and bearing information of the robot with respect to reflectors. After reflector matching, the global pose of the robot can be calculated by localization methods. Focusing on the localization method, a novel laser positioning method based on ICP (Iterative Nearest Point) is proposed, which realizes global localizations by constructing the rigid transformation between reflector sets for two continuous scanning time. In addition, compared with the original ICP algorithm that dealing with point cloud sets, the proposed method has less computation and needs no iteration. The implementation process of the proposed method is derived, and the proposed method is compared with the widely used trilateral localization methods. Experimental results show that our method has higher accuracy and better stability than trilateral positioning method.
STATE OF THE ART AND SCIENCE Transitions of Care: Putting the Pieces Together

Transitions of care have become an important target for the Triple Aim of improving care quality and the patient care experience, improving the health of our population, and reducing cost [1]. Most research to date has focused on hospital-to-home care transitions, and numerous studies have shown major gaps in care during these transitions. For instance, communication across sites happens infrequently, follow-up needs are not consistently identified, and relatively few patients have timely outpatient follow-up care after hospital discharge [2, 3]. Moreover, patients and their caregivers feel unprepared to manage their conditions after discharge, are uncertain about their medications, and are often unclear about whom to contact with questions [4]. For socioeconomically disadvantaged patients, these issues are compounded by insufficient access to outpatient care, lack of social support, and transportation needs [5, 6]. Health care professionals, likewise, identify poor care transitions as an important target for improvement [7].
Gamificación, motivación y rendimiento en educación: Una revisión sistemática

Introducción. El propósito de este artículo es revisar la bibliografía que analiza la relación entre gamificación, motivación y aprendizaje y, así, proporcionar ideas pedagógicas y didácticas para su implementación en la educación no universitaria. Metodología. Se realiza una metodología mixta, en la que se analiza una muestra intencional conformada por 37 artículos, escogidos intencionalmente siguiendo los estándares de evaluación de la American Educational Research Association (AERA, 2006), de un total de 1 706 estudios, publicados en ISI Web Of Science. Resultados. Se seleccionaron y analizaron 37 estudios escogidos intencionalmente siguiendo los estándares de evaluación de la AERA (2006), y se constata que la gamificación tiene una repercusión directa y positiva sobre las experiencias del alumnado en cuanto a su motivación y rendimiento. Discusión. El trabajo apunta a que la gamificación está siendo abordada académicamente desde dos perspectivas: como metodología orientada a la motivación del alumnado en su aprendizaje competencial; y como forma de potenciar el rendimiento académico en las diferentes áreas del conocimiento.
Thermal Protection System Sizing and Selection for RLVs Using the Sentry Code

*Technology research and development activities over the past two decades have resulted in several new material options for use as externally-bonded, passive thermal protection systems (TPS) on RLVs. These new materials each have unique thermal, structural and operating characteristics that make them well suited for protecting the underlying vehicle structure from extreme aeroheating environments associated with atmospheric flight. Depending on the material thicknesses used and the local stackup configurations, the overall weight (or weight per unit area) of these TPS solutions can vary considerably, thus optimal material selection and proper usage is critical. SpaceWorks Engineering’s Sentry software is a newly created engineering design tool for use in the conceptual and preliminary design of next-generation space transportation systems utilizing reusable, non-ablative thermal protection systems. Sentry performs a transient, 1-D thermal analysis of a vehicle’s TPS requirements at several hundred body locations throughout a given atmospheric flight trajectory and produces a weight-optimized TPS design that satisfies thermal, material and manufacturing constraints. This tool represents a unique capability update to the current suite of TPS selection and sizing tools available to engineers. The paper provides a summary of Sentry’s capabilities and reviews two case studies for which it has been successfully used.
Bi-directional resetting scheme of the magamp post-regulator

A simple bi-directional magamp control scheme is proposed. The scheme effectively reduces the influence of the time delay, or dead time of magamp core on the output voltage regulation at extreme load conditions. The scheme is very useful in the converters with magamp as post-regulator to eliminate the dead time of the magamp core due to the squareness of the core materials and to extend the load variation range.
Time to Immunologic Recovery and Its Determinant Factors Among Adult HIV Patients Who Initiated Antiretroviral Treatment at Hiwot Fana Specialized University Hospital, Harar, Ethiopia

Objective To determine the time to immunologic recovery and its determinant factors among adult HIV patients who initiated antiretroviral treatment at Hiwot Fana Specialized University Hospital from February, 2018 to January, 2020. Methods A facility-based retrospective cohort study was conducted among 301 adult HIV patients who initiated antiretroviral treatment from February, 2018 to January, 2020. Five trained nurses collected the data using data abstraction checklists. The collected data were entered into the computer using EpiData version 3.1 and then exported to Statistical Package for Social Sciences (SPSS) version 25. The median survival time to immunologic recovery was described using Kaplan–Meier (KM) estimator. Cox proportional hazards regression model was used to identify the potential determinant factors of the time to immunologic recovery. An adjusted hazard ratio (AHR) with its 95% confidence interval (CI) and p-values <0.05 were used to determine the strength and significance of associations between variables. Results In this study, the overall median time required to reach normal CD4 count was 11 months [95% CI = (9.50, 12.51)]. Baseline functional status, ambulatory [AHR=1.383, 95% CI (1.05, 1.83)], bedridden [AHR=1.712 (1.11, 2.64)], first-line treatment classes (TDF/3TC/DTG) [AHR= 1.63, 95% CI (1.21, 2.18)], and baseline CD4 count > 350 cells/mm3 [AHR=1.65, 95% CI (1.11, 2.45)] were significantly associated with the time to immunologic recovery. Conclusion The median time to immunologic recovery was relatively shorter. Baseline functional status (ambulatory and bedridden), baseline CD4 count, and first-line treatment class were significant predictors of time to immunologic recovery. HIV patients with working functional status should be given the necessary attention. Utilization of dolutegravir-based regimens should be encouraged to attain a normal CD4 count earlier.
Coaxial-coupling traction control for a four-wheel-independent-drive electric vehicle on a complex road

An independent-wheel-drive electric vehicle has the advantage of better implementation of precise motion and stability control. However, when the vehicle is moving on a road that has complex slopes and various adhesion coefficients and is subjected to the structural limitations of the independent-wheel-drive systems, the driving performance will deteriorate. In order to make full use of the drive torque of every motor to improve the vehicle’s climbing and accelerating abilities, on the basis of the designs of a dual-motor coaxial-coupling independent-wheel-drive system and a sliding-mode controller, a coaxial-coupling traction control system was developed. Simulations on coaxial-coupling traction control for a four-wheel-independent-drive electric vehicle were completed. With the innovative coaxial-coupling equipment, the drive torque can be satisfactorily transferred between the wheels at the two sides of one drive shaft. When one of the driving wheels begins to slip, the torque transmission will increase rapidly, the probability that wheel slipping occurs will be reduced and the vehicle’s driving force can be enhanced. Also, the chatter of the traction control system can be quietened effectively, and the dynamicity and trafficability can be improved. In addition, with the additional yaw moment generated by the torque coupling, the system also has the auxiliary effect of improving the high-velocity lateral stability of the vehicle on a road which has a low adhesion coefficient.
Fast Consensus of Multi-Agent Systems on Digraphs by Graph Filtering

In this paper, we extend the graph filtering method to the consensus problem on digraphs. By introducing the normalized Laplacian matrix, a time-varying control protocol and the corresponding filter are designed. For the case of known digraphs, a graph filter is designed to reach the finite-time consensus. For the case of unknown digraphs, a periodic control strategy is adopted to achieve consensus asymptotically. By optimizing the worst-case periodic convergence rate, the optimal design of the control sequence is presented to reach fast consensus. Numerical simulations are given to illustrate the effectiveness of our results.
Factors Influencing Urban Residents’ Intention of Garbage Sorting in China: An Extended TPB by Integrating Expectancy Theory and Norm Activation Model

With the deepening of the garbage classification policy strength, making urban household garbage sorting mandatory in China, it is imperative to clarify the key factors affecting the urban residents’ intention to behave in garbage classification. Though it has attracted the attention of researchers, there are still several aspects that need to be supplemented and improved. Thus, this study aims to investigate the critical factors affecting the urban residents’ intention of garbage sorting and develop an extended model of planned behavior by integrating expectancy theory (ET) and norm activation model (NAM). Given the positive externalities of urban residents’ garbage sorting behaviors, awareness of consequences and attribution of responsibility are correspondingly interpreted as environmental benefits (EB) and environmental concerns (EC). The sample data of 668 urban residents who lived in four pilot cities of garbage classification in China were collected and adopted to the structural equation modeling (SEM) with bootstrapping estimation method to assess the causal relationship between variables. The results indicated that the expectation (Exp) was a significant positive predictor of garbage sorting intention. Attitude (AT), perceived behavior control (PBC) and subjective norm (SN) positively affected urban residents’ expectation of garbage sorting, with SN having the most significant direct impact. The results also found that the EB has significant influences EC, which strongly influences urban residents’ expectation of garbage sorting. Furthermore, the total effect of EC on Exp is higher than other paths, and the mediating effect of SN on Exp by AT and PBC is greater than other indirect paths, which accounted for about 27.1% of the total effect. Finally, we discuss both theoretical and practical implications, along with recommendations for future research.
fmax =433GHz from 0.1 ī-gate InGaAs/InAlAs/GaAs Metamorphic HEMTs

In this work, we present the characteristics of the 0.1 �√ gate length InGaAs/InAlAs/GaAs metamorphic high electron mobility transistors (MHEMTs). The MHEMTs with �+ -shaped off-set gates (70 �√ width and 2 fingers) were fabricated using the double heterostructure epitaxial structure and characterized through the DC, Noise and RF measurements. Measured channel current density and transconductance (gm) were 442 mA/mm and 409 mS/mm, respectively. Noise characteristics were measured in the frequency range from 50 GHz to 61 GHz, and show 1.8 dB at 50GHz. From RF measurements, 154 and 433 GHz were obtained for the cut- off frequency (fT) and maximum frequency of oscillation (fmax), respectively. A superior fmax of 433 GHz achieved in the work is one of the first reports among the fabricated 0.1 �√ gate length MHEMTs.
Optimizing Building Envelope Component Design for Thermal and Lighting Performance

Judicious building design can significantly reduce energy required to heat, cool, and illuminate buildings, which accounts for approximately 30% of our nation’s energy use. Building upon the authors’ previous research on optimizing buildings for natural lighting, a novel approach to optimizing light and heat exchanges across the building envelope (i.e., exterior surfaces such as walls and windows) is proposed; a method is introduced that analyzes the magnitude of these exchanges across envelope components and how effectively they meet luminous and thermal requirements. Each design is evaluated on how its hourly heat transfer (conducted and radiated) impacts annual heating and cooling loads. In addition, window design is evaluated based on the ratio of actual to potential room area illuminated to a target threshold on an annual basis. This thermal and lighting evaluation approach forms the basis of a bi-objective building envelope optimization method. A simple classroom design problem is used as a case study. It is expected that this method will be superior to similar ones, which typically measure performance at the building level, thus aggregating and masking the effects of building envelope components on individual rooms (thermal zones).