Miracle-dz/UniFAR-FTUs huggingface dataset:
PHRI Safety Control using a Virtual Flexible Joint Approach

: Physical Human-Robot Interaction (PHRI) emphasize on human safety. In literature, two techniques were presented to improving this critical factor concerning moving devices; the first solution is purely mechanical, while the second one is based on the control. In this paper, we describe a new approach combining the two previous solutions. Our proposed paper explores a control scheme involving the use of a virtual component with an adjustable stiffness supposed to be placed between the motor shaft and the robot link. This scheme proposes a Variable Impedance Actuator (VIA) robot control methodology based on the integration of a virtual component, reflecting the behaviour of a real intrinsic Series Elastic Actuator (SEA). This novel method is potentially beneficial in reducing injuries in human/robot interaction by combining a mechanical operating principle and a control approach in order to reduce the collision forces in collaborative applications. This proposed approach was simulated and validated using a UR3 robot model, showing great capacities in reducing collision’s peak forces. This paper begins with particular attention to the robot dynamics, then the articulation flexibility and force estimation have been tackled and finally ending the control architecture.
Uncertain Spaces, Uncertain Places. Dealing with Geographic Information in Digital Humanities: The Example of a Language Legacy Dataset

In addition to their purely linguistic content, legacy language collections often contain other information, such as geographical and spatial details, e.g. locations, regions and municipalities. Such information may offer valuable insights into the linguistic landscape, but it may also pose challenges when some aspects remain ambiguous. This paper outlines and discusses various known and unknown uncertainties of spatial aspects contained in a non-standard German language legacy dataset (DBO) that has undergone several stages of data conversion since the early nineties. The authors introduce and discuss their taxonomy of uncertainties, exemplified by applying it to the spatial information contained in the DBO, the origins of which date back one hundred years. Finally, the authors discuss how the uncertainties found in the dataset affect Digital Humanities practice more widely.
A tribute to Ron Johnston (30 March 1941–29 May 2020)

The incomparable Ron Johnston has gone. The sadness is immense, and felt at all points of the compass. Like the sun rising in the morning, you always assumed Ron would be there – bright, warm, kind, funny and full of energy. He was Geography’s most extraordinary cartographer and navigator. Not only did he help us see the complex, fast changing and sometimes frac-tured intellectual landscape we have together created. He also carved new paths across it, while extending its frontiers. His passion for Geography was boundless, and he was loved greatly by very many colleagues, students and collaborators. Though Ron Johnston’s loss is very hard to bear, his legacy is so large and wide ranging that he’ll be with us for many years to come.
A Highly Efficient Bifunctional Catalyst CoOx/tri-g-C3N4 for One-Pot Aerobic Oxidation–Knoevenagel Condensation Reaction

A highly efficient bifunctional catalyst of an s-triazine-based carbon-nitride-supported cobalt oxide is developed for the aerobic oxidation–Knoevenagel condensation tandem reaction of benzyl alcohol and malononitrile, whereby 96.4% benzyl alcohol conversion with nearly 100% selectivity towards benzylmalononitrile can be obtained in 6 h at 80 °C. The excellent catalytic performance derives from the high basicity of carbon nitride and strong redox ability of Co species induced by carbon nitride. The catalyst is also quite stable and can be reused without any regeneration treatment, whose product yield is only an 11.5% reduction after four runs.
In Situ Characterization of CuFe2O4 and Cu/Fe3O4 Water-Gas Shift Catalysts

Mixtures of copper and iron oxides are used as industrial catalysts for the water-gas shift (WGS, CO + H2O f H2 + CO2). In-situ time-resolved X-ray diffraction, X-ray absorption fine structure, and atomic pair distribution function analysis were used to study the reduction of CuFe2O4 with CO and the behavior of CuFe2O4 and Cu/Fe2O3 catalysts under WGS reaction conditions. MetalToxygenTmetal interactions enhance the stability of Cu 2+ and Fe 3+ in the CuFe2O4 lattice, and the mixed-metal oxide is much more difficult to reduce than CuO or Fe2O3. Furthermore, after heating mixtures of CuFe2O4/CuO in the presence of CO or CO/H2O, the cations of CuO migrate into octahedral sites of the CuFe2O4 lattice at temperatures (200-250 C) in which CuO is not stable. Above 250 C, copper leaves the oxide, the occupancy of the octahedral sites in CuFe2O4 decreases, and diffraction lines for metallic Cu appear. From 350 to 450 C, there is a massive reduction of CuFe2O4 with the formation of metallic Cu and Fe3O4. At this point, the sample becomes catalytically active for the production of H2 from the reaction of H2O with CO. Neutral Cu 0 (i.e., no Cu 1+ or Cu 2+ cations) is the activemore » species in the catalysts, but interactions with the oxide support cannot be neglected. These studies illustrate the importance of in situ characterization when dealing with mixed-metal oxide WGS catalysts. « less
A Novel Accident Prevention System using VANET and Remedial System using IoT

Road accidents are human misfortune. They involve major human and financial suffering as there is no immediate help provided to the injured people. A lot of people witness the accidents but fail to offer help as they are hesitant of police investigation and allegations, and thus victims die due to lack of medical help. Presently there are various emanate technologies like Adaptive cruise control (ACS), Anti-lock braking system (ABS), Airbag system which are available only in high end cars that prevents accidents but they do not provide any remedies if accidents take place. To overcome the limitations of existing system this paper presents a solution which includes both preventive as well as remedial system. VANET technology is used in the preventive system. The remedial system focuses on providing details of the location to the nearby hospitals so that immediate help can be provided, the Internet of Things (IoT) can be used to accomplish this task. The system improves road safety, security, communication medium, performance monitoring and increases productivity. Keywords—Prevention, Remedial, VANET, IoT, Andriod
Formulation and evaluation of fermented Ayurvedic formulation: Asava

Asava, an Ayurvedic formulation is used since more than 3000 years for the treatment of various diseases. Due to accelerated commercialization, the assurances on safety and efficacy of Ayurvedic products have become an important issue. Growing awareness about harmful side effects of modern medicine has led to interest in Ayurveda at the international level as well as within India. It is prepared by using decoction of herbal drug and contains self generated alcohol. Although these formulations are mentioned in traditional literature and used regularly their scientific investigation and reporting is essential to strengthen Ayurveda in global market. Determination of qualitative as well as quantitative evaluation parameters of various asava is warranted to ensure the quality and safety of these preparations. Therefore, to achieve this, the world health organization advocates to undertake various standardization parameters. In present study attempt has been made for formulation and evaluation of prepared asava.
Elegant security: Concept, evidence and implications

Some security devices can be ugly, inconvenient or an infringement on civil liberties. This means that security is a quality of life issue as well as one of crime prevention. Here we propose that, in addition to preventing crime and being cost effective, security should preferably be ethical and unobtrusive, aesthetically neutral or pleasing, and the easy-to-use or default option. We describe security with such characteristics as ‘elegant’. We use two case studies to explore how, as many types of crime have declined in recent decades, there was an increase in elegant and a decrease in inelegant security. We suggest that the lifecycle of some security technologies sees them evolve from inelegant to elegant, that continual improvement is required to keep ahead of offender adaptations, and that inelegant security can fall into disuse even if it prevents crime. It is hoped that this conceptual contribution might inform discussions about the appropriate form and role of security.
Assessment of genetic diversity among cassava landraces using single nucleotide polymorphic markers

This study seeks to determine the genetic diversity among cassava landraces using single nucleotide polymorphic (SNP) markers. One hundred and five cassava landraces were assayed with 195 SNP markers. Major allele frequency varied from 0.500 to 0.942 with an average of 0.728. Average gene diversity, heterozygosity and polymorphic information content (PIC) were 0.359, 0.314 and 0.286 respectively. These values were generally high considering the bi-allelic nature of SNPs, hence the cassava landraces studied showed moderate to high genetic diversity. This suggests availability of unique and useful alleles that could be exploited for breeding purposes. Inclusion of these landraces in our crop improvement activities will enhance the development of farmer preferred cassava varieties. SNP markers used for the study were highly informative, polymorphic and revealed good estimates of genetic diversity among the landraces. Higher level of genetic variation was observed within population based on analysis of molecular variance (AMOVA). Principal component analysis (PCA) and cluster analysis also grouped landraces into three distinct clusters; however, they did not group in accordance to geographical origin. This could be due to high frequency of germplasm exchange between farmers and subsequent change of the name of the same cultivar. Results from this study may contribute significantly to cassava breeding and germplasm conservation programs. Key words: Genetic diversity, single nucleotide polymorphisms (SNPs), polymorphic information content (PIC), polymorphic, alleles, heterozygosity, germplasm.
COVID-19: Structural Changes in the Relationship Between Investor Sentiment and Crude Oil Futures Price

This paper investigates whether the relationship between investor sentiment and crude oil futures price has changed during the COVID-19 pandemic. We find a structural change in the relationship from December 31, 2019 to February 25, 2020. The elasticity of crude oil futures price to investor sentiment changed from -0.295 pre-COVID-19 outbreak to -0.678 post-outbreak.
Modelo ARIMA aplicado al tipo de cambio peso-dólar en el periodo 2016-2017 mediante ventanas temporales deslizantes

En este trabajo se genera un abanico de pronosticos del tipo de cambio peso-dolar a traves de un modelo ARIMA(1,1,1) en el periodo 2016-2017, dicho modelo que se aplica al tipo de cambio peso-dolar se estima de diversas maneras mediante el uso de ventanas temporales deslizantes; asimismo, se identifica la existencia de problemas de cambio estructural y se propone un ajuste optimo al modelo ARIMA(1,1,1) propuesto, lo cual permite mejorar el pronostico. La evidencia empirica resalta lo complejo que es realizar un pronostico con datos que tienen un comportamiento cambiante a traves del tiempo y que presentan ademas problemas de cambio estructural; en este sentido es recomendable utilizar mecanismos que ayuden a perfeccionar el pronostico como en este caso lo fue el uso de ventanas temporales deslizantes y la propuesta de cambio estructural. Se concluye que el pronostico a 30 dias, tanto de ventanas deslizantes como de ventanas deslizantes crecientes por la derecha, es viable, ya que con un intervalo de confianza del 95% se tienen 12 registros de 30 dentro del rango del valor real del tipo de cambio peso-dolar.
The Influence of Terrain on the Convective Environment and Associated Convective Morphology from an Idealized Modeling Perspective

Orographic deep convection (DC) initiation and rapid evolution from supercells to mesoscale convective systems (MCSs) are common near the Sierras de Córdoba, Argentina, which was the focal point of the Remote Sensing of Electrification, Lightning, and Mesoscale/Microscale Processes with Adaptive Ground Observations (RELAMPAGO) field campaign. This study used an idealized numerical model with elongated north–south terrain similar to that of the Sierras de Córdoba to address how variations in terrain height affected the environment and convective morphology. Simulations used a thermodynamic profile from a RELAMPAGO event that featured both supercell and MCS storm modes. Results revealed that DC initiated earlier in simulations with higher terrain, owing both to stronger upslope flows and standing mountain waves. All simulations resulted in supercell formation, with higher-terrain supercells initiating closer to the terrain peak and moving slower off the terrain. Higher-terrain simulations displayed increases in both low-level and deep-layer wind shear along the eastern slopes of the terrain that were related to the enhanced upslope flows, supporting stronger and wider supercell updrafts/downdrafts and a wider swath of heavy rainfall. Deeper and stronger cold pools from these wider and stronger higher-terrain supercells led to surging outflow that reduced convective available potential energy accessible to deep convective updrafts, resulting in quicker supercell demise off the terrain. Lower-terrain supercells moved quickly off the terrain, merged with weaker convective cells, and resulted in a quasi-organized MCS. These results demonstrate that terrain-induced flow modification may lead to substantial local variations in convective morphology.
Optimization of Multiple Products Transportation Under the Background of Industrial Symbiosis Network

Starting from the hotspots of solid waste recycling and reuse, and considering the characteristics of waste transportation in eco-industrial symbiotic network, this paper takes the transportation and distribution process of waste and by-product recycling and reuse in upstream and downstream enterprise clusters as the research object. Different from the traditional transportation research which a single goal-oriented and multi-product independent, Considering model the economic cost performance and environmental performance, as well as the "transport price correlation" between various wastes, this paper constructs a multi-objective transport planning model of Interacted multi-product. Finally, on the basis of the multi-product and multi-objective model, the paper refers to the related method theory of the second generation fast non-dominated sorting genetic algorithm (NSGA-II) which based on the elite selection strategy. By carrying out calculation and result analysis on the basis of algorithm implementation, the paper verifies the effectiveness of the model and algorithm.
A clinical study to evaluate platelet count and serum albumin as independent prognostic factors in predicting the outcome in burn patients in a tertiary care hospital

Immediately following a burn injury, blood counts were increased and gradually the values come down. Pattern difference exists in WBC count, RBC count, and Platelet count. Reverse J curve was observed in the WBC count and V curve in platelet count. Patients with prolonged thrombocytopenia, monocytopenia, and lymphopenia have high mortality rates and they can be considered as independent risk factors.
A new species of Drypetes (Putranjivaceae) discovered by J. Léonard in the Democratic Republic of the Congo

Background – During his stay in Yangambi in the 1940s, the Belgian botanist J. Léonard collected a species of the genus Drypetes endemic to the Democratic Republic of the Congo. He named it D. morocarpa on herbarium labels, but never published it. Methods – The present study is based on the revision of 26 collections of D. morocarpa. Morphometric measurements on herbarium specimens belonging to the new species and its closest relatives in Drypetes were carried out in order to describe this new species. Results – We describe here D. morocarpa J.Léonard ex D.J.Harris & Quintanar. It is easily recognisable by its blackish twigs and young branchlets, orbicular stipules, leaf blades usually entire, and hard fruits, covered with irregular protuberances. It has been collected in two areas along the course of the Congo river or its tributaries. A differential diagnosis, a detailed morphological description, a key to distinguish it from the most similar species, an illustration and all the available information about its habitat, distribution and conservation status are provided.
Impact of organizational structure and social support on pro-social rule breaking: A frontline perspective

Abstract Scholars over the past two decades have shed significant light on employee pro-social rule-breaking behaviors. Yet, the organizational and contextual variables and their influence on these behaviors are not properly considered. This paper focuses on frontline pro-social rule breaking and examines the influence of two elements of organizational environment; namely, organizational structure and social support, on the three types of pro-social rule breaking, using cross sectional survey data of frontline employees of two Indian-scheduled commercial banks. The results show that organizational structure and social support have differential influences on job-oriented, customer-oriented, and co-worker-oriented pro-social rule breaking. Researchers deliberated the impact of structural elements; namely, participation in decision-making, hierarchy of authority, job codification, rule enforcement, and perception of social support, thus identifying the drivers and inhibitors of the behaviors. Paper also offers guidelines for managing the three types of pro-social rule breaking via managerial practices and policy interventions.
Remote sensing image-based wildfire recognition using capsnet for transmission lines

Transmission lines are the lifeblood of power grid operation and the lifeline of people's livelihood. Recently, large-scale overhead transmission lines frequently trip due to wildfire, leading to serious threat to security and stability of the power grid and the public’s normal use of electricity. With the application of satellite remote sensing image in the electric power sector, it becomes a reality that using remote sensing image to detect wildfire. Aiming at the characteristics of wildfires that are easily misdetected and missed, this paper proposes a remote sensing image-based wildfire recognition model based on capsule network (capsnet). The proposed architecture is evaluated on remote sensing image datasets from the Himawari- 8 meteorological satellite. The proposed method has been shown to be effective in detecting wildfire in experiments, which is useful for the improvement of resist ability of wildfire for transmission lines.
Synthesis, Characterization and Adsorption Properties of Protonated Cross-linked Chitosan for the Removal of Basic Blue 3 Dye from Wastewater

Dye wastewater remediation is important for water treatment and adsorption is an effective treatment process. A modified protonated crosslinked chitosan (PCCH) was synthesized and compared with pure chitosan for a cationic basic blue 3 dye removal from an aqueous solution. Adsorbent were characterized using techniques such as SEM/EDX, FTIR, and BET analysis. Batch experiments were conducted under optimized pH, adsorbentdosage and initial concentration at room temperature within a range of one hour. The highest adsorption efficiency was 91.93% and 58.97%, adsorption capacity 6.19 mg/g and 3.83 mg/g for PCCH and pure chitosan respectively. Result however fitted well with Langmuir isotherm and pseudo-second-order kinetics models(R2>0.99). Keywords: Adsorbent, Adsorption, Basic Blue 3, Chitosan, Crosslinking, Wastewater
Factors associated with hyperemesis gravidarum

Introduction: Nausea and Vomiting of Pregnancy (NVP) is a common health condition during pregnancy, often referred to as ‘morning sickness’. The most severe degree is Hyperemesis Gravidarum (HG). The reasons for this phenomenon are still somewhat unclear. Methods: The sample included 201 fertility-age women, who had experienced at least one pregnancy. Data were gathered by a questionnaire that included sociodemographic questions and validated questionnaires: BSI, anxiety state and anxiety trait. Results: A relationship was found between existing gastrointestinal disorders and HG, and anxiety state and HG. Logistic regression significantly showed that previous gastrointestinal disorders predicted HG. Discussion: It seems that the emotional state and physical condition are related to HG, and that women with gastrointestinal diseases are more likely to suffer from HG.
EFFECTS OF ORGANIZATIONAL SUPPORT, SUPERVISOR SUPPORT AND COWORKERS’ INTERPERSONAL HELPING BEHAVIOR ON EMPLOYEE JOB SATISFACTION: A CASE STUDY IN BANGKOK, THAILAND

Employees’ job satisfaction would lead to more productive working environment in organizations. This study aims to examine the effects of employee’s perception of organizational and supervisor supports as well as coworkers’ interpersonal helping behavior on job satisfaction. The survey is collected data from a total of 50 employees, who works in both private and public organizations in Bangkok, Thailand. The findings show that perceived organizational support, perceived supervisor support and coworkers’ interpersonal helping behavior have positive relationship with employee’s job satisfaction. The suggestions are that, the organizations should keep the employees’ satisfaction level by giving more feedback and reaction on their work apart from organizational support from supervisors. The supervisors also need to coach and help the subordinates in order to achieve their performance. The coworkers also play important role to their coworkers because good coworkers can create a good working environment. The coworkers need to help the coworkers who are still new in their roles, as well as can help when their coworkers suffer from job stress. Organizations should also inform all supervisors to support, coach and giving feedback on their subordinates’ work in order to reduce their job stress and increase job satisfaction.