Miracle-dz/UniFAR-FTUs huggingface dataset:
Development of a Holonomic and Omnidirectional Mobile Robot

This paper presents a new type of holonomic and omnidirectional mobile robot. A steered driving wheel for holonomic and omnidirectional robots is proposed which has an offset distance between the steering axle and the wheel axle along a direction of wheel traveling like a caster which can use a conventional tires (a rubber tire or a pneumatic tire) . A kinematics of the wheel mechanism is analyzed and a new control strategy is introduced to avoid a nonholonomic constraints on the wheels. The driving wheel realizes an active ”caster motion”which enables 2DOF motions in the two dimensional plane. The concept of a holonomic robot with the proposed driving wheels is implemented and tested on a two-wheeled vehicle prototype. Experimental results show that the prototype robot realizes smooth holonomic and omnidirectional motions and precise mobility.
Knowledge-Practice Gaps of Practicing Doctors on Antimicrobial Stewardship-A Single Center Experience

Corresponding Author: Prasan Kumar Panda Department of Internal Medicine, All India Institute of Medical Sciences (AIIMS), Rishikesh, Uttarakhand, India Email: motherprasanna@rediffmail.com Abstract: The overwhelming, irrational behaviour of using Antimicrobial (AM) has added to the amplification and spread of Antimicrobial Resistance (AMR) burden. Healthcare professionals can curtail the AMR by practicing Antimicrobial Stewardship (AMS). The single-centre hospital-based observational study aimed at accessing the knowledge, attitude and practice of practicing doctors towards AMS based on a free online open WHO course, a global action plan to combat AMR, laid down by WHO in a tertiary care hospital. The study was designed as a questionnaire-based cross-sectional one, conducted among practitioners (faculty, senior residents, junior residents) in different clinical departments. A validated self-administered questionnaire consisting of 29 questions was designed and shared among 200 participants through the mail and physically. Different subgroup analysis (surgeon vs physician, faculty vs senior resident vs junior resident, open WHO course participant vs open WHO course aware non-participant vs open WHO course unaware non-participants) was done for differences in responses to questions. Pearson Chi-square test was used for categorical data. Differences amongst groups were tested using the Chi‐ squared test. P-value <0.05 was considered statistically significant. Response rate was 62.5% (n = 200). Knowledge on AMS was observed among doctors’ with >50% near correct responses in each question except for the question asking on IV route of AM administration. A significant knowledge gap was found when a comparison was made between faculty members, senior residents and junior residents (p<0.001) in the spectrum of activity of AM. Knowledge gap on ASP is observed among practicing doctors but significant differences were found among faculty, senior residents and junior residents, among open WHO course participants vs open WHO course unaware non-participants. The open WHO course may help in nullifying this gap.
Optische Spurhaltung – Eine Unterstützung des Fahrers bei der Lenkaufgabe

Optical Lane Keeping a support for the driver during the steering task The here described system supports the driver in keeping his lateral position on the lane while he remains in full control of the vehicle. It relieves him of the permanent fine tuning, thus reducing the driver's steering task to global positioning. To achieve this and compensate for environmental disturbances, the steering angle commanded by the driver is slightly modified by adding a correcting value via a small actuator. Hardand software limit the controller's action to guarantee safety. Image processing is used to obtain the needed vehicle position and orientation on the road. System simulations on the Daimler-Benz driving simulator reveal a considerable improvement of the vehicle's straight-running properties. Experiments on public roads confirm these results.
There are six common types of FBGS: 1- Uniform with positive only index change 2- Gaussian apodized 3- raised cosine apodized with zero dc index change 4- chirped 5- discrete phase

Recently, Optical fiber has been used in different fields. One of them is used as a sensor; specifically the Fiber Bragg Grating sensor (FBG). FBG based optical fiber has become an acceptable component to measure the sensitivity of different physical parameters. However, the temperature may affect the accuracy of measurements of sensitivity. In this paper, a new technique was proposed to overcome the temperature impact on the measurement of strain. This technique involved using two FBG sensors. One of them is sensitive to strain and temperature. The other FBG is sensitive to strain only. The effect of temperature was estimated by subtracting the strain effect from the second FBG sensor. Nevertheless, the results showed that the sensitivity of temperature without strain effect (independent measurements) was similar to the temperature sensitivity after removing the strain influence. Nonetheless, It is found that the change of 1 με caused a wavelength shift of 1.2312 pm at the central Bragg wavelength 1.55 με. For the FBG temperature sensor, the simulation shows that the Bragg grating sensitivity was approximately 13.55 pm /C and 0.7453 nm was the Bragg wavelength shift which is corresponding to a temperature change of 160 °C. More practical results of the dual FBGs are shown and explained in this paper.
Ethnomedicinal plants with anti-diabetic property used by tribes of Nagaland, India: A review

Nagaland is a state of North Eastern region of India and a part of Indo-Myanmar biodiversity hotspot. The state is very rich in flora and fauna due to favorable agro-climatic condition. Tribes of Nagaland have been using various plants to treat different kind of diseases including diabetes. Since herbal drugs have lesser or no side effect, plant based herbal drugs are very popular in the state. This communication intended to review of the past researches in the state on use of different plant and plant parts for treating/controlling diabetes. Systematic review of literatures reveals that till date a total of 47 plants belonging to 29 families are used as anti-diabetic by different tribes in the state. Though, these plants/parts are being used for anti-diabetic ethnomedicinal purpose, there is no or very limited information available on characterization of anti-diabetic potential active molecules/compounds from these plants, thus warrants isolation and identification of anti-diabetic compounds from these plants.
AFRL-AFOSR-UK-TR-2019-0056 An adaptive numerical methodology for mesoscale binder-crystal interactions and damage propagation in impact loaded energetic materials

The ability to model the stress concentration, strain localization, crack initiation and propagation at mesoscopic length scales of heterogeneous materials such as polymer bonded explosives is critical to preventing undesirable ignitions. The research conducted in this study addresses the ability to model the strain localization, crack initiation and propagation by using explicit Lagrangian solution of the underlying partial differential equations within domains of interest discretized using finite elements and initially rigid cohesive elements. This approach is superior in its ability to model stress wave propagation excited by rapidly applied loads along model boundaries as it does not suffer from inaccuracies imposed by numerically generated internal impedance boundaries to their propagation. New criteria for detection of the onset of strain localisation, new algorithms for activation of initially rigid cohesive elements, strain softening, crack initiation and crack propagation have been implemented within in-house software DEST (Discrete Elements Simulation Tools) in order to enable existing and new experimental data to be used to enable further improvements of both the understanding of the underlying physical process as well as thus motivated further improvements of related modelling capabilities. The developed algorithms are presented alongside benchmarks which confirm their effectiveness. Distribution A Distribution Approved for Public Release: Distribution Unlimited Date 26/09/17 Authors Sascha Knell, Antonio Pellegrino, Nik Petrinic Page of pages 2 of 11
Analysis of Security System for IoT Environment

These days, the Internet of Things (IoT) network, is progressively turning into an omnipresent availability between various progressed applications, for example, keen urban areas, shrewd homes, savvy frameworks, and numerous others. The arising organization of brilliant gadgets and articles empowers individuals to settle on keen choices through machine to machine (M2M) correspondence. Most true security and IoT-related difficulties are defenseless against different assaults that represent various security and protection challenges. Accordingly, IoT offers productive and successful arrangements. interruption location framework (IDS) is an answer for address security and protection challenges with recognizing diverse IoT assaults. To build up an assault recognition and a steady organization, this present paper's principle objective is to give an exhaustive diagram of existing interruption location framework for IoT climate, network protection dangers challenges, and straightforward issues and concerns are broke down and talked about. In this paper, we propose programming characterized IDS based dispersed cloud design, that gives a protected IoT climate. Experi-mental assessment of proposed engineering shows that it has preferable recognition and exactness over conventional techniques.
Formation of Scenarios for The Development of The Tourism Industry of Ukraine With The Help of Cognitive Modeling

The tourism industry is influenced by a large number of factors that affect the development scenarios of the tourism in different ways. At the same time, tourism is an important component of the national economy of any state, forms its image, investment attractiveness, is a source of income and a stimulus for business development. The aim of the article is to conduct an empirical study to identify the importance of cognitive determinants in the development of tourism. The study used general and special methods: systems analysis, synthesis, grouping, systematization, cognitive modeling, cognitive map, pulse method, predictive extrapolation. Target factors, indicators, and control factors influencing the development of tourism in Ukraine are determined and a cognitive model is built, which graphically reflects the nature of the influence of these factors. Four main scenarios of the Ukrainian tourism industry are established on the basis of creating a matrix of adjacency of an oriented graph and forecast modeling based on a scenario approach. The practical significance of the obtained results lies in the possibility of their use to forecast the prospects of tourism development in Ukraine, the definition of state policy to support the industry that will promote international and domestic tourism.
How to Improve Already Improved Cowpea—Terminal Drought

: Cowpea’s ( Vigna unguiculata ) heat and drought resistance, high protein content, and nitrogen-ﬁxing ability place this crop within the three dimensions of sustainable development; social, economic, and environmental. Modern disregard for landrace causes genetic variability loss, compromising breeding efforts in the context of climate changes. To contribute to the evaluation of Portuguese cowpea germplasm, several landraces were compared with a commercial variety (CV) in terms of productivity and physiological responses to drought. Despite a clear effect of stress in photosynthesis, there were no differences between the CV and landraces. However, under drought, higher relative chlorophyll content (SPAD) was kept for longer in the CV. All showed a marked decrease in productivity (60–70%) under stress, but the CV produced bigger and heavier seeds. The similar results between CV and landraces reﬂect the signiﬁcance of the pragmatic selection of on-farm conserved landraces under Mediterranean climate. Molecular characterization of genetic diversity is on course using microsatellites. software, investigation, C.N. , J.S. , I.P.; data curation, C.N. ;
Facial Emotion Recognition as an Aid for Autism

We present the designs of various artiﬁcially intelligent systems capable of recognizing emotions through facial expressions. Various neural network architectures were customized, trained, and subjected to classiﬁcation tasks, after which the best performing networks were further optimized. A variety of datasets (fer2013, Jaffe, CK+), as well as one of our own creation, was used to train the models. We applied transfer learning on the fully-connected layers of an existing convolutional neural network that was pretrained for human emotion classiﬁcation, as well as evaluated custom neural networks. We achieved an overall top test accuracy of 65.7%. The applicability of the ﬁnal model is portrayed in our building of a live video application capable of in-stantaneously classifying users’ emotions and superimposing faces with appropriate emojis. Through this project, we worked to develop the foundations of a product capable of aiding children with autism, who often struggle to read the subtle nonverbal cues contained in people’s expressions.
Robots and Resentment: Commitments, recognition and social motivation in HRI

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. Robots and Resentment: Commitments, recognition and social motivation in HRI Elisabeth Pacherie, Víctor Fernández Castro
Discernment of layers in heterogeneous rock masses using Terrestrial Laser Scanning intensity

When dealing with site investigations in heterogeneous rock masses such as flysch, some of the most important properties, besides determining lithological aspects, are geometry (dip and dip direction of layers and secondary joints) and spatial distribution of various layers, which is especially important for slope stability calculation purposes. Determining geometrical aspects by using terrestrial laser scanning (TLS) is a well-known procedure is recently widely used, however, potential of determining spatial distribution of different strata (because of its complexity) is not yet fully implemented. In this paper TLS was performed on a typical cut slope in Eocene flysch. Beside outcrop’s geometrical characteristics, preliminary analysis of the intensity of returned laser backscatter signal was analysed to determine spatial distribution of points with similar intensity values. When compared with results of lithological logging performed during the fieldwork and results of some basic sedimentological analyses, such as carbonate content, spatial distribution of intensity correlated perfectly with detected layers of different material properties. Therefore, the potential of TLS for remote determination of distribution of various lithology over inaccessible areas such as coastal cliffs, or open construction pits, was confirmed. When the results of TLS are properly interpreted, spatial distribution can then be used for detail rock mass characterisation, modelling purposes, either for general slope stability purpose or for detail analysis of local structural failure of rock slopes.
A Hybrid Technique for Stock Market Prediction using Machine Learning Approach Sentiment Analysis

Explosion of data, we have all heard, The ostensible so-lution is to use diversiﬁed data, including anything from political scenario, socio demographics, and high-volume data streams from the sources ranging from structured to un-structured data . The construction of a predictive system that properly projects future changes of a stock price is decisive for algorithmic trading. The usage of technical analysis for ﬁnancial prediction has been positively engaged by many researchers . This study deals regarding the enactment
Revisiting Partially Preordered Possibilistic DL-Lite – An Extended Abstract

A formal ontology is a description logic knowledge base composed of two components, namely a TBox and an ABox (Baader et al. 2007). The former is usually designed by experts in some application domain and contains termi-nological knowledge represented as axioms. The latter is a dataset containing ground facts about particular entities, also called assertions, which are usually obtained from various information sources. Reasoning with a formal ontology amounts to answering queries from semantically-enriched data pieces, which allows to derive new facts. While it is reasonable to assume the TBox axioms to be correct and un-questionable, the ABox assertions may be error-prone, incomplete and contradictory, potentially making the ABox to be inconsistent with the TBox. However, posing queries over an inconsistent knowledge base rules out the use of classical description logic semantics since any conclusion can be derived from contradictory information.
Frail Patients with ST-Elevation Myocardial Infarction: Correlations between Physical and Cognitive Activity

The review aim to investigate physical and cognitive decline after St-Elevation Myocardial Infarction (STEMI), in frail older adults. In the general critical care setting, about one-third of older adults are frails and frailty is associated with increased morbidity, mortality, and resource use, such as length of critical care unit stay and readmission rate. Cognitive and physical decline are very common in older populations, and their prevalence increases with age; in fact, dementia is a progressive and typically irreversible deterioration of cognitive function thypical of older adults. Frailty may increase the future risk of mild cognitive impairment (MCI), and all-cause dementia. It is known the association between cardiovascular diseases with functional and cognitive decline. Gait speed is a quick, inexpensive, reliable measure of functional capacity with well-documented predictive value for major health-related outcomes. Numerous studies have documented gait speed in older people. No studies are available on the correlations between 5-metres gait speed test and Mini Mental State Examination (MMSE), on frail STEMI patients. Here we reviewed the literature.
Oral Hygiene Practices and Microbial Assessment of Used Toothbrushes by Undergraduates in a Tertiary Institution in Benin City, Nigeria

Oral Hygiene Practices and Microbial Assessment of Used Toothbrushes by Undergraduates in a Tertiary Institution in Benin City, Nigeria Ndukwe Maduka, Joy Imuetinyan Ehiaghe, Emmanuel Gift Ettah, Ngozi Nma Odu Department of Biological Science, College of Natural and Applied Sciences, Wellspring University, Benin City, Edo State, Nigeria Department of Medical Laboratory Science, Faculty of Basic Medical and Health Sciences, Benson Idahosa University, Benin City, Edo State, Nigeria Department of Medical Laboratory Health Sciences, Faculty of Allied Health Sciences, PAMO University of Medical Sciences, Port Harcourt, Rivers State, Nigeria
Lipase Production in Solid-State Fermentation (SSF): Recent Developments and Biotechnological Applications

Lipases are the most widely used biocatalysts, because they can catalyze several unnatural and remarkable reactions in non-aqueous media, such as bio-fuel production, production of value-added products such as esters, organic acids, food, beverage, cosmetics and pharmaceutical materials. Solid-state fermentation (SSF) represents an interesting alternative to produce industrial enzymes at lower costs due to the possibility of using inexpensive agro-industrial residues as culture media. This review aims to explore various agriculture byproducts like husk, straw, agricultural raw materials, waste of the oil industry, among others that are locally available and are also costeffective requiring low nutrient supplementation to produce microbial lipase(s) in SSF. Enzyme production is associated with the growth of the bacterial culture. The physico-chemical fermentation parameters such as pH of the medium, moisture content, particle-size, nature of particles and microbial inoculum level play crucial role(s) in lipase production. SSF has gained renewed interest and fresh attention of researchers to develop processes to achieve large-scale enzyme production by solid waste treatment and in its application in the industry to synthesize the products of commercial value.
Research of the air defense of ship formation operation architecture based on firepower allotment loop

The air defense of ship formation involves many fireunit about coordinate commands and delivery of fire,so excellent C4ISR system architecture is of vital importance.This paper studies the process of fleet air defense architecture modeling,through a combination of fire distribution ring concept,analyses the operational process with the operation views of the DoD Architect Framework.Some UML products of OV are presented in this paper,describe the operational requirment in air defense C4ISR system architecture.
Exact Optimization of Four-Wheel Steering and Four-Wheel Independent Driving/Braking Force Distribution with Minimax Criterion of Tire Workload

The direct yaw-moment control (DYC) poses an optimization problem of determining the traction/braking forces distribution that is to be solved online to minimize the risk of tire force saturation to avoid instable vehicle behaviors. One of the authors has derived an algebraic solution to a similar minimax optimization problem of minimizing the maximum value of the tire workload where the direct yaw moment is explicitly specified. In this study, this algebraic solution is applied to the solution procedure for the extended minimax optimization problem where the total value of the traction/braking forces, that of the lateral force by the steering of the front and rear wheels, that of the yaw moment by the direct yaw moment and by the lateral forces of the front and rear wheels are specified. The proposed numerical approach that uses the golden section method rapidly converges to the exact solution of the essential decision variables as the traction/braking forces of the four wheels. The effects of problem relaxation are demonstrated through numerical examples.