Miracle-dz/UniFAR-FTUs huggingface dataset:
Legged Robots with Human Morphology: Design and Control

This paper presents the design and control of a bio-inspired legged robot with a passive toe joint. This legged robot will be utilized to study human gait and particularly pathological gaits. Hence, the leg structure is designed so that it can generate a similar gait of that of human. In addition, the parts of the legs need to be made of light materials mainly, aluminum and carbon fiber. The locomotion control of the legged robot is designed so that the overall control system with respect to the rolling motion is approximated by the Van der Pol oscillator. The controlled plant, in this case, is modeled as an inverted pendulum. Few control parameters are introduced to modulate the rolling motion and make it adaptive with the stride. The parameters of the locomotion controller can be tuned so that the closed loop system exhibits a stable limit cycle. The controller is then evaluated throughout simulation results using a full model of the biomechanical legs. To validate the simulation model, the Zero Moment Point (ZMP) method is utilized. The ZMP locations are obtained using the parameters of the full simulation model and compared with that of the measured ZMP using the ground reaction forces.
Analysis of a Person’s Movement Activity during Sleep by Bioradiolocation

The proposed method for detection movement activity can help to diagnose Periodic Limb Movement Disorder, which can be treated with the special therapy. Nowadays there is a lack of effective non-contact ways for daily sleep movements disorders detection. Such sleep disorders may lead to dangerous health conditions. So development of new reliable unobtrusive methods for sleep movements disorders detection is an up-to-date task of modern medicine. Bioradiolocation, which allows detection and diagnostics of many pathologies without any physical contact with the human body, can be used to solve this problem. In particular, in the present paper, we propose the algorithm, which processes the radar’s data and allows detecting and analyzing movement activity of a person in sleep. The proposed algorithm was validated using data of three volunteers with different severity of periodic limb movement disorder, which underwent a study in a sleep medicine laboratory of Almazov National Medical Research Centre. The results showed that the accuracy, sensitivity and specificity for proposed movement detection algorithm for all three subjects were higher than 97 %, 71 % and 98 %, respectively.
Robot-assisted remote rehabilitation

Rehabilitation is the therapy that used to help people with disorders to restore or improve the functions of lost or diminished parts. Robots are popularly used in rehabilitation since the early sixties of the last century. The medical therapy for extremities can be divided into two main categories: upper and lower limb rehabilitation devices. The major difference between these two categories is in the magnitude of the applied force. The main purpose of incorporating robots in the rehabilitation process is compensating lost functions in physically disabled individuals. This article proposes a robotic system entirely dedicated to remote elbow rehabilitation. The idea is to provide a rehabilitation system controlled by a remote physiotherapist. The solution combines the technique of gesture control and the concept of the Internet of Things to offer gestural control via the Internet of a rehabilitation robot. The electromechanical system designed is lightweight and portable, making it a suitable solution for home use. Labview-based software is developed to provide a user-friendly interface that allows the physiotherapist to control the device from a distance. The Kinect camera-based system detects the physiotherapist’s action and transmits it to the software for processing and sending to the robot. JKI HTTP REST Client has been used to develop a web client interacting with servers. The HTTP client library is used to ensure the connection of LabVIEW-based applications with RESTful web services. The proposed method is verified and validated experimentally. The obtained experimental results show the effectiveness of the developed remote rehabilitation system.
Broadband Graphene Based Reflective Cross Polarization Converter Metasurface Design with Unity Efficiency in the Lower Terahertz Gap

This paper deals with a monolayer graphene based wideband reflective cross polarization converter metasurface structure effective over a wide range of incident angles in the lower terahertz gap of the electromagnetic spectrum. The unit cell of the metasurface comprises a modified split ring-shaped graphene pattern deposited over a gold backed silicon dioxide (SiO2) substrate. The proposed geometry converts incident linearly polarized (LP) wave to its cross polarized form with a near unity cross polarization conversion (CPC) ratio over a bandwidth of 2.53 THz in the lower terahertz gap ranging from 1.78 THz to 4.31 THz in which a near unity polarization conversion ratio (PCR) has been achieved. The PCR is greater than 0.9 over the band 2.5 THz to 4 THz while full width at half maxima (FWHM) fractional bandwidth of 92.89% with respect to center frequency of 3.05 THz has been realized. The wide bandwidth of CPC of the incident electromagnetic wave (EM) occurs till 40º incident angles under both TE and TM polarizations of the EM wave. The proposed CPC is ultrathin in nature by having a periodicity of λ/24 and thickness of λ/18.7 with respect to minimum frequency of the CPC bandwidth.
lnterleukin-6 stimulates neutrophilproductionof platelet-activatingfactor

Interleukin-6 (IL-6) is an integral mediator of the acute phase response to injury and infection; an exaggerated IL-6 response has been associated with adverse clinical events. The precise role of IL-6 is unclear, but it appears capable of modulating the functional repertoire of mature neutrophils (PMNs). Our previous work demonstrated that IL-6-stimu- lated PMNs are primed by lower concentrations of platelet-activating factor (PAF) than nonstiinulated PMNs. Recently, we have found that IL-6 suppresses PMN apoptosis via a PAF-like mechanism. We hy- pothesized that IL-6 stimulates PMNs to produce PAF. PMNs isolated from healthy human donors were incubated with IL-6 (0.1-100 ng/inl) at 37#{176}C. Lipid production was measured by use of thin-layer chromatography, and PAF quantitated with a scintil- lation proximity assay. IL-6 (1 and 10 ngJml) stimu- lated PMNs to produce increased quantities of PAF. PAF production was associated with an increase in PMN cytosolic calcium. These data may provide mechanistic insight into IL-6 regulation of PMN-me- diated cytotoxicity and the role of PAF in mediating IL-6 effects on PMNs.J. Leukoc. Biol. 59:569-574; 1996.
Transmission Control Protocol (TCP) Delay Analysis in Real Time Network

The aim of this paper is to evaluate the Transmission control protocol (TCP) delay performance of IEEE802.11 WLANs using Wireshark which is a network performance monitoring tool. It also shows a detailed study of sniffing tools, logging tools, pre filtering and post sniffing. This paper also provides a way to find the maximum TCP delays over a time period and to plot a graph using Microsoft excel in order to perform further analysis. The study was carried out in a real time WLAN environment. The output that is obtained shows the maximum delay over time along with certain filters that have been applied. This is only possible for the active nodes present in the network.
Fitting species abundance models with maximum likelihood Quick reference for sads package

Species abundance distributions (SADs) are one of the basic patterns of ecological communities (McGill et al., 2007). The empirical distributions are traditionally modeled through probability distributions. Hence, the maximum likelihood method can be used to fit and compare competing models for SADs. The package sads provides functions to fit the most used models to empirical SADs. The resulting objects have methods to evaluate fits and compare competing models. The package also allows the simulation of SADs expected from communities’ samples, with and without aggregation of individuals of the same species.
Wide-Temperature-Range Models of 3C-SiC Electrophysical Properties for Devices Simulation

The modeling of such electrophysical properties of 3C-SiC as energy gap, intrinsic carrier concentration, carrier mobilities, and minority carrier lifetimes was carried out. Energy gap models were analyzed over a range of temperatures from 100 to 1000 K. Intrinsic carrier concentration was calculated for different values of density-of-states effective mass in the conduction band over a temperature range from 200 to 1000 K. All widely known 3C-SiC low-field mobility models and parameter sets were critically reviewed. Carrier mobilities were calculated over a wide range of temperatures (from 100 to 1000 K) and total doping concentrations (from $3\times 10^{16}$ to $2\times 10^{19}\mathrm{c}\mathrm{m}^{-3}$ for electrons and from $5\times 10^{18}$ to $2.5\times 10^{19}\mathrm{c}\mathrm{m}^{-3}$ for holes). Error values for various experimental datasets are presented. Non-universality of mobility models is shown. Field-dependent mobility models were not analyzed. Minority carrier lifetimes were modeled in a range of total doping concentration from 1014 to $10^{20}\mathrm{c}\mathrm{m}^{-3}$. Temperature-independent Scharfetter relation was implemented. Unfortunately, validation of lifetime models was not carried out due to lack of required amount of experimental values. The presented model set can be applied to 3C-SiC devices simulation.
Comparison of the IoT Platform Vendors, Microsoft Azure, Amazon Web Services, and Google Cloud, from Users’ Perspectives

The largest Internet of Things (IoT) cloud platform vendors are Microsoft Azure, Amazon Web Services, and Google Cloud. These companies are known as the big three, and have all agreed to join the IoT domain and concentrate on improving the services on their IoT platforms. While these platform descriptions are extensive, users are constantly experiencing difficulties in making the right choice of which platform to use, between the three. This paper presents a comparison of the big three, using the constraints of hubs, analytics, and security. The study also provides some recommendations as to which IoT cloud platform vendor is more ideal, notwithstanding the limitations of the study. In view of these results, users will be able to more confidently select vendors, based on their demands and goals.
A WideBand Circularly Polarized Printed Crossed-Dipose Antenna

In this paper, a wideband circularly polarized printed crossed dipole antenna is proposed. It is composed of two unequal-length crossed dipoles which produce circularly polarized performance, four split-ring resonators utilized to further increase the circularly polarized bandwidth, a microstrip trapezoidal balun is used to feed the antenna. Due to the use of the balun and four split-ring resonators, the proposed antenna has not only a broad 3 dB axial ratio bandwidth of 48.2% (from 20.0 to 32.3 GHz) at the operating frequency 25.5 GHz, but also a broad impedance bandwidth for $S_{11}\lt -10\ \mathrm{dB}$ of 74.1% (from 19.9 to 38.8 GHz) and a maximum gain of 7.6 dBi.
Frequency Reconfigurable Hexagonal Shaped Patch Antenna for WLAN Applications

In this paper, a hexagonal shaped frequency reconfigurable patch antenna is proposed that can be deployed in WLAN, mobile satellite communication and radio navigation. In this reconfigurable patch antenna design, a hexagonal patch is connected to two nearby rectangular patches via PIN diodes allowing it to switch between five different frequencies( i.e., 5.27 GHz, 2.16 GHz, 5.45 GHz, 2.88 GHz and 5.76 GHz ). The proposed design provides 6.38 dBi gain and 435 MHz bandwidth when both diodes are in OFF state. Ansys HFSS is used for antenna simulation and a prototype with necessary biasing components and circuit has been fabricated and tested using Keysight Vector Network Analyzer N9925A.
Genotype-environment interaction in relation to heat tolerance in chickens. 1. RAPD-PCR analysis for breeds local to the warm regions

The genomes of three breeds local to the warm regions (White Baladi, Fayoumi and Sinai Bedouin) and a commercial broiler strain were screened by 10 random decamer primers for randomly amplified polymorphic DNA bands, using RAPD-PCR analysis. The aim of the study was the assessment of genetic diversity and relationships between the breeds. All primers showed successful amplification of bands, with an average of 4.99 bands. Polymorphism represented 65.19% of the total bands. The heterozygosity estimates between breeds averaged 0.48, 0.45 and 0.44 for unsexed, male and female comparisons, respectively. Several breed-specific, breedpolymorphic and breed-monomorphic alleles were detected in the local breeds, reflecting the genetic specificity for each. The band sharing levels within breeds ranged between 0.60 and 0.81. More variability, less band sharing and more heterozygosity were observed in Fayoumi compared to the other breeds. An average genetic distance index, overall primers, of 0.42 was calculated between White Baladi and each of Fayoumi and Sinai Bedouin. Whereas, the genetic distance between White Baladi and commercial broilers was slightly further with an average of 0.45. Fayoumi was genetically the furthest from Sinai Bedouin with an average genetic distance of 0.53. The phylogenetic tree formed three distinct branches. White Baladi and Fayoumi formed a branch and each of Sinai Bedouin and commercial broilers formed a branch. The branches reflected the genetic relatedness and differentiation between the breeds. They could reflect the genetic-locality interaction, where White Baladi and Fayoumi are locals to the hot climate and Sinai Bedouin is local to the desert climate.
Statistical Model Checking of Approximate Circuits: Challenges and Opportunities

Many works have shown that approximate circuits may play an important role in the development of resource-efficient electronic systems. This motivates many researchers to propose new approaches for finding an optimal trade-off between the approximation error and resource savings for predefined applications of approximate circuits. The works and approaches, however, focus mainly on design aspects regarding relaxed functional requirements while neglecting further aspects such as signal and parameter dynamics/stochasticity, relaxed/non-functional equivalence, testing or formal verification. This paper aims to take a step ahead by moving towards the formal verification of time-dependent properties of systems based on approximate circuits. Firstly, it presents our approach to modeling such systems by means of stochastic timed automata whereas our approach goes beyond digital, combinational and/or synchronous circuits and is applicable in the area of sequential, analog and/or asynchronous circuits as well. Secondly, the paper shows the principle and advantage of verifying properties of modeled approximate systems by the statistical model checking technique. Finally, the paper evaluates our approach and outlines future research perspectives.
An Online Algorithm for Energy Harvesting Cognitive Radio IoT Network

Increase in Internet of Things (IoT) applications rise the demand for more wireless connectivity. One of the promising solutions is to utilize the unused licensed Television White Spaces (TVWS) spectrum. In this paper, we consider energy harvesting cognitive radio wireless network operators (ECTNOs) which use TV white spaces (TVWS) for wireless connectivity. These network operators harvest RF energy and use it for transmission purpose. Spectrum leasing is considered essential to support wide range of IoT applications. We have considered two types of spectrum availability: free TVWS and High Priority Channels (HPCs) of TVWS to be taken on lease. We propose an online algorithm for energy harvesting cognitive radio IoT network to optimize the cost with respect to data quality and transmission delay. There is trade-off between total system cost and these QoS parameters. The performance of the proposed energy harvesting online algorithm is seen to be consistent with the optimal algorithm in non energy harvesting case.
Performance Analysis of P-N-NOMA Over Generalized Fading Channel

In this paper, a partially overlapped near user non-orthogonal multiple access (P-N-NOMA) scheme is proposed in which the signal of near user is partially overlapped rather than a complete overlapping as in conventional NOMA (C-NOMA). This research investigates the option of improving the far user rate, and the proposed P-N-NOMA scheme ensures the better far user rate as compare to C-NOMA. In particular, P-N-NOMA reduces the disparity in the rates of near and far users and hence, can be used where both users have significant rate requirement. In this research work, the closed-form expressions of sum-rate and outage probability are derived for P-N-NOMA system over the generalized $\eta -\mu $ fading channel. The performance of P-N-NOMA is compared with that of C-NOMA and orthogonal multiple access (OMA) schemes. The proposed scheme achieves fairer rate allocation to both near and far users as compare to C-NOMA. The Analytical results are verified with the simulation results.
Assessment of the Potential for Hydrogen Production from Renewable Resources in Libya

During the last two decades, renewable energy sources in Libya have been discussed through many research studies in certain locations. This paper proposes an assessment of hydrogen production using renewable energy resources in Libya, though introducing subsections of four zones: northeast (zone A), middle (zone B), northwest (zone C), and south (zone D). In total, the four zones include 25 cities distributed throughout all the state of Libya. The database of the National Aeronautics and Space Administration (NASA) for climate conditions, for over than 20 years, is used through an energy management software RETscreen. In this study two- different configurations are presented, for each one; the system mainly consists of two subsystems, an electrical power source, and a polymer electrolyte membrane (PEM) electrolyzer. In the electricity production using PV panels field, it is found that the power production in all Libyan zones can vary between 130 and 400 GWh/km2 with high values in the summer time especially in zone D. While, if the wind energy is used to produce electricity, zone A has the highest potential electricity production fluctuates between 95 and 170 GWh/km2 yearly. Solar photovoltaic (PV) panels and a wind turbine are used to produce electricity. This generated electricity is then used to drive an electrolyzer where water splits into hydrogen and oxygen. The solar electricity potential is introduced into the electrolysis unit to obtain hydrogen production capacity in each zone of the four zones of Libya. High hydrogen production for four zones is mainly observed in June and July, where the hydrogen production capacity is almost equal in the four zones. The zone D has the highest average hydrogen production by solar electricity of about 7623.855 tons/km2/year. Estimated results of production of the hydrogen mass were obtained for four zones after the introduction potential of wind electricity in the PEM electrolyzer. The average hydrogen production for the four zones are 3490.32, 2110.3, 2499.97, and 2761.103 tons/km2/year, respectively. The option of using renewable energy in Libya to produce both electricity and clean hydrogen by the electrolyzer is very promising because of the solar capabilities and wind speeds suitability of Libya.
EELWORM: a bioinspired multimodal amphibious soft robot

Exploration robots are challenged by a continuous adaptation to the terrain induced by ever changing environments. These adaptations can be subtle (e.g. when moving from a smooth to a rough terrain), however drastic changes in environment require robots to address different locomotion modes (e.g. crawling vs swimming). While each locomotion mode can be driven by a dedicated set of actuators, nature shows that multimodal locomotion is also possible by activating the same set of actuators in different sequences (e.g. swimming snakes). In this paper, we present EELWORM, a 40 cm long soft-bodied robot consisting out of an arrangement of five inflatable bending and elongating actuator modules that can be addressed individually. EELWORM is capable of both crawling and swimming by varying the actuation sequences within the same embodiment. We show multimodal locomotion at speeds of 2 body lengths per minute (crawling) and 3 body lengths per minute (swimming).
Embedded LoRaWAN for Agricultural Sensing Applications

Recently, the concept of the wireless sensor network in agriculture spread around the world to help farmers to enhance the productivity and quality by continuously monitoring the crops development. In contrast, the environment of farms does not assist the implementation of IoT because of the difficulty to find the power supply. Sometimes, farmers face some difficulty to track their plants because of types of the environment. For example, the desert and high temperature, and the tropical forest and rainy seasons incur harsh operating scenarios. Therefore, this work aims to create a system that helps farmers to track their crops remotely using LoRaWAN technology. The features of the system are very low power consumption and large coverage area of the signal which are the most important features suitable for farming environment. The sensors help give a very important information to farmers too. The work began with selecting the appropriate, cost-effective sensors to be deployed. Then, a design or integration was proposed for the system and the associated peripherals. The system will comprise of a LoRa node, is responsible for collecting data from the sensors, and a LoRa Gateway, that is accountable for receiving the data, to send it to The Things Network (TTN) server. So, the Arduino code will be used to program the sensor to collect data and send it to the gateway to be displayed on TTN. In addition, with the help of integration between the TTN and the Ubidots, the data can be easily analyzed and monitored from the website and the app of Ubidots. Later, the field test implemented on plant for almost one week, to demonstrated the ability of the proposed system to work.
Jasmonate is essential for insect defense in Arabidopsis

The signaling pathways that allow plants to mount defenses against chewing insects are known to be complex. To investigate the role of jasmonate in wound signaling in Arabidopsis and to test whether parallel or re- dundant pathways exist for insect defense, we have studied a mutant (fad3-2 fad7-2 fad8) that is deficient in the jasmonate precursor linolenic acid. Mutant plants contained negligible levels of jasmonate and showed extremely high mortality ('80%) from attack by larvae of a common saprophagous fungal gnat, Bradysia impatiens (Diptera: Sciaridae), even though neighboring wild-type plants were largely unaffected. Applicationofexogenousmethyljasmonatesubstantiallypro- tected the mutant plants and reduced mortality to '12%. These experiments precisely define the role of jasmonate as being essential for the induction of biologically effective defense in this plant-insect interaction. The transcripts of threewound-responsivegeneswereshownnottobeinducedby wounding of mutant plants but the same transcripts could be induced by application of methyl jasmonate. By contrast, measurements of transcript levels for a gene encoding gluta- thione S-transferase demonstrated that wound induction of thisgeneisindependentofjasmonatesynthesis.Theseresults indicate that the mutant will be a good genetic model for testing the practical effectiveness of candidate defense genes.