Miracle-dz/UniFAR-FTUs huggingface dataset:
An Efficient Method for Identification of Liquid Samples in Hospitals and Medical Labs

Nowadays, an automation in every field is high in demand not only to reduce dependency on human being but to achieve high reliability, accuracy, and efficiency. It becomes more imperative if the application is in medical testing and sample collection. In medical labs, handling of samples like blood, urine etc. requires some human effort and the chances of errors increases due to human factors like fatigue, colorblindness, low vision, mishandling of samples, wrong entry in database etc. In this paper, an efficient method is proposed for identification of medical samples (like blood, urine etc.) and their container or vials using current state of the art technology through computer vision. Use of the YOLO model is taken into consideration and the model is trained against custom prepared dataset of medical samples. The proposed method of identification of samples requires less resources and works efficiently in real-time footage detection. Concurrently, the model is validated with metric average precision against each class present in the dataset achieving overall 80% of average precision. Model also has achieved excellent results in footage detection with 40-50 frame rates. The proposed method reduces the human efforts and interventions up to great extent.
OS DESAFIOS DA EDUCAÇÃO EM REDE NO CONTEXTO DA INDÚSTRIA 4.0

The article aims to analyze the relationship between the concepts of Network Education and Industry 4.0, in order to identify the emergent trends of industrial learning, in addition to discussing the role of the university in the production of knowledge and of the interdisciplinary curriculum for the formation of advanced digital competences. For this, an integrative review of the literature was carried out on the scientific basis of the Capes, SciElo and Scopus Journal Portal between the years 2011 and 2018. The results point to three main pedagogical and technological trends, namely: (1) Internet of Things (IoT), (2) Remote Robotics Labs or experimental and learning spaces; (3) Experimental and innovation laboratories, known as FAB-LAB. The closure demonstrates that the article is part of an initial investigation into the research and development potential of the concept of Network Education in the context of Industry 4.0.
A TMR based Current Measurement Sensor for HVDC Transmission System

In HVDC transmission systems, reliable current measuring device is required to monitor the operation state of the systems. In this paper, a current measurement method based on the principle of Tunneling magnetoresistance (TMR) was proposed and the corresponding current sensor array was designed. Firstly, the spatial magnetic field expressions of flat conductors and cylindrical conductors were calculated. It provided a theoretical basis for subsequent TMR-based current measurement in the paper. Then the measurement principle of TMR was analyzed. And aiming at solving the nonlinear error for TMR chips, the nonlinear output function of TMR chips based on piecewise linear approximation method was proposed. On this basis, a range-adjustable rectangular current sensor array was designed, which can measure the current flowing through flat conductors and cylindrical conductors. Finally, the experimental platform was built to obtain the nonlinear output function of TMR chips, and to carry out the current measurement experiment using four kinds of conductors. The maximum relative error of the experiment was less than 2%, and the average relative error was less than 1%. It verified the measurement accuracy of the measuring method and the array.
Quality-Aware Caching, Computing and Communication Design for Video Delivery in Vehicular Networks

To satisfy the increasing demands of wireless traffic in vehicular networks, how to significantly improve vehicular networks becomes a critical issue. Motivated by the potential benefits of jointly using edge-computing and edge-caching in vehicular networks, this paper considers investigating the quality-aware caching, computing and communication (3C) optimization for video delivery in vehicular networks. By incorporating the quality-awareness with 3C models, we formulate a quality-aware joint 3C optimization problem. Then, by considering the practice that the caches might be pre-determined along with the formulated 3C problem, we obtain the quality-aware joint 2C optimization problem with caching. We propose effective approaches to solve these two problems. Simulation results show that our proposed approaches can outperform the reference schemes significantly.
Filtres récursifs pour l'estimation du gradient et la détection de contours par interpolation spline

Cet article concerne le calcul du gradient d'un signal discretise, en vue de detecter des contours. Une solution elegante a ce probleme est apportee par l'interpolation de la fonction discretisee par une spline cubique. Cependant, lorsque le signal est riche en fronts abrupts, cette operation doit etre precedee d'un lissage, sous peine d'obtenir une derivee presentant des extrema multiples. Nous proposerons une classe de filtres de lissage et nous deduirons le filtre derivateur correspondant. Nous montrerons, en calculant les criteres de Canny, que eu egard a ces criteres, le filtre derivateur d'ordre 1 donne d'aussi bons resultats pour un cout de calcul minimal, que les filtres d'ordre plus eleve. Nous montrerons que dans le cas 1D, les filtres derivateurs de Shen-Castan et de Deriche font partie de cette classe de filtres. Nous montrerons que dans le cas 2D, l'operateur de Deriche se comporte comme notre operateur d'ordre 2, pour autant que le facteur d'echelle a soit petit, et donc que l'effet de lissage soit important. Nous nous interesserons a la recherche des maxima du gradient. Nous proposerons deux operateurs permettant d'obtenir l'un : un sur-echantillonnage du gradient, l'autre : un echantillonnage decale du gradient. A partir des images de gradient delivrees par ces operateurs, la recherche du maximum devient une operation triviale. Elle est en outre robuste aux erreurs d'arrondi. Nous illustrerons sur quelques images typiques les contours obtenus a partir de ces operateurs.
Assessment of postnatal femur development in Wistar Han rats

The use of Wistar Han (WH) rats in regulatory toxicology studies, including juvenile animal studies, is increasing. The current study was performed to characterize femur development in neonatal and juvenile WH rats. Beginning on postnatal day (PND) 4 through PND 50, groups of WH rats (n = 5/sex) were evaluated for the development and ossification of the femur by Alizarin Red S staining, micro‐computed tomography (micro‐CT) imaging, microscopic examination, and Collagen X immunostaining. The focus of these evaluations was limited to the proximal femur including the head, neck, greater trochanter, lesser trochanter, and shaft. Through the multiple methods utilized, it was determined that the femoral neck is the first structure of the proximal femur to ossify, which occurs between PND 15 and 20. The femoral head and greater trochanter begin to separate on PND 15 with separation completing on PND 25 (both still composed of cartilage). Evidence of mineralization and ossification of these structures is apparent at PND 25, with a progressive increase with age, reaching adult‐like morphology by PND 40. This work has provided a thorough characterization of postnatal femur development in WH rats to help inform bone and femur effects in juvenile toxicity studies as well as the design of investigative studies.
Exploring the Effects of Important Predictors of Ramp Speed Choice

Traditional measures of speed obtained through traffic observations are not based on detailed information about the related drivers and vehicles. Data from naturalistic studies, such as SHRP2 – NDS, can mitigate this issue by combining the key data on driver, roadway, and speed choice behavior. The objective of this study is to assess drivers’ speed choice on freeway ramps as a function of ramp design, trip summary, and driver characteristics. The data analysis provides insights into various spatial and temporal factors. To conduct the data analysis time series reduction, matching, and clustering methods were implemented to define a new speed choice behavior response variable denoted as driving state. Using the resulting response variable and the three groups of predictors, neural network analysis was conducted to identify the most influential predictors and their effects on the speed choice behavior of drivers during on-ramp and off-ramp travels. Results of this analysis of speed choice behavior on freeway ramps indicate that the speed choice at these locations is indeed a complex process and is mainly influenced by the temporal and traffic conditions. Personal characteristics of drivers were also found to influence speed choice in these locations.
Triply-resonant coupled-cavity electro-optic modulators for on-chip RF photonic systems

We propose a triply-resonant electro-optic modulator architecture which maximizes modulation efficiency using simultaneous resonant enhancement of the RF drive signal, the optical pump, and the generated optical sideband. Optical enhancement of the optical pump and the sideband is achieved using resonant supermodes of two coupled optical resonators, and the RF enhancement is achieved with LC circuits formed by the capacitances of the optical resonators and inductors which can be implemented using CMOS technology. In the proposed configuration, the photon lifetime determines the bandwidth of the RF response but not its center frequency, which is set by the coupling strength between the two resonators and is not subject to the photon lifetime constraint inherent to conventional single-mode resonant modulators. This enables efficient operation at high RF carrier frequencies without a reduction in efficiency commonly associated with the photon lifetime limit. Two optical configurations of the modulator are proposed: a"basic"configuration with equal Q-factors in both supermodes, most suitable for narrowband RF signals, and a"generalized"configuration with independently tailored Q-factors of the two supermodes, which makes it possible to broaden the RF bandwidth without sacrificing the resonant enhancement of the optical pump and paying a penalty in modulation efficiency associated with doing so. Additionally, a significant gain in modulation efficiency is expected from RF signal enhancement by LC resonant matching. This results in a modulator which is compact, efficient, and capable of modulation at high RF carrier frequencies. The proposed modulator architecture optimally engineers the interaction of the device with each of the three signals and between them, can be applied to any modulator cavity design or modulation mechanism and promises to enable complex RF-photonic systems on chip.
Une solution analytique au problème « Perspective-N-Points » et son extension aux capteurs catadioptriques

The problem of estimating the distance between a unique image sensor and a well known pattern composed by N points (The Perspective-N-Points problem) has been extensively treated and many solutions exist. By the use of a new set of equations, we get, whereas most of existing solutions, a strictly analytical solution. This solution first request few and constant CPU time which allow us to use it in real time applications and second is usable with nonlinear sensor (particularly omnidirectional sensor).
RF MEMS Perforated Shunt Switch Design on Hafnium Oxide Substrate for Low Actuation Voltage

Microelectronic Mechanical System (MEMS) is technology is developed for pressure and temperature sensors, accelerometers, gas chromatographs and others sensor device. RF MEMS have two switch operation classified in two parts i.e. actuation section and electrical section. This paper represents the switch electrostatic section with capacitive shunt configuration. The perforated MEMS switch is design on substrate of hafnium oxide material. The hafnium oxide is high dielectric constant material which having very low crystallization temperature. The perforation is method which reduced actuation voltage, power consumption and increased the switching speed. The Fixed-fixed beam is capacitive shunt type switch. The concept of paper that reduced low actuation voltage, higher flexibility, reduced squeeze film damping and higher switching speed. The perforation geometry used in switch are octagon, hexagon, pentagon and rectangular. The various type perforated switch is designed and simulated. The design and simulation of switch is used software COMSOL MULTIPHYSICS 4.3b. 
Recent Progress and Evolution in the Development of Non-Asbestos Based Automotive Brake Pad- A Review

Asbestos has been a significant reinforcement material in the production of automobile friction components due to its physical and mechanical properties. However, the replacement of asbestos and other toxic metals employed in producing conventional friction components has been called for due to health and environmental concerns. Research in this area has led to the development of more efficient non-asbestos based organic friction materials for automobiles. In this study, recent progress in the manufacture of non-asbestos based, eco-friendly automotive brake pads is reviewed. A complete classification of conventional and non-conventional friction materials used in the development of brake pads is presented, and the production method and the roles of friction materials in the mechanical and tribological properties of the manufactured pads are discussed. The study shows that the performance of brake pads manufactured from plants, animals, or plants and animal materials (hybrid) varies depending on the physical, chemical and mechanical properties of the plants and/or animals.
Radio pulsars

Recent theoretical work concerning the magnetosphere of and radio emission from pulsars is reviewed in detail. Taking into account years of little or no cooperation between theory and observation and noting, in particular, that no systematic observations are in fact being made to check theoretical predictions, the key ideas underlying the theory of the pulsar magnetosphere are formulated and new observations aimed at verifying current models are discussed.
A Study on the BIM Evaluation, Analytics, and Prediction (EAP) Framework and Platform in Linked Building Ontologies and Reasoners with Clouds

Rigorous research and practical experience have allowed building information modeling (BIM) to be successfully adopted in the traditional design process without being severely cumbersome. However, there has been less focus on the connectivity and convergence of multiple types of BIM data or even the connectivity among non-BIM data, such as natural language and image/video data. The connectivity of BIM data means more than the syntactical correlations among them. This paper considers how BIM should be redefined to process BIM data as linked semantic data from the perspective of building information management and employ recent advances in the evaluation, analytics, and prediction (EAP) methodology for linked building ontologies and reasoners.
Multi-Access Intelligent A+: Ensuring Service Continuity and Consistency in Private 5G Heterogeneous Networks

The 5G private network is expected to provide low latency, high data rate, and improved security to meet various key requirements of enterprise vertical applications. However, existing 4G LTE or 5G private network multi-access edge computing solutions mainly focus on homogeneous systems and ignore the interoperability of various coexisting access technologies in the enterprise area. Therefore, their access domains are independent, and to communicate directly with each other is difficult without additional network components. In this article, we propose a novel mobile edge platform called multi-access intelligent A+ (MIA+), which has built-in support for service continuity and consistency of wireless connections in private 5G heterogeneous networks (HetNets). We particularly demonstrate how to ensure that MIA+ provides customers with promised services in different access domains, including Wi-Fi, 4G LTE, 5G public bands, and 5G private bands. The services promised to MIA+ users include consistent service provisioning, seamless handover, interworking among various access domains, and seamless integration between 5G private band and public band systems. To demonstrate the flexibility and usability of the MIA+ system, a proof of concept has been tested in the Chunghwa Telecom (CHT) 5G experimental network in Taiwan. The results show that MIA+ is indeed an excellent solution for realizing private 5G HetNets.
DESPESA DE CAPITAL: UMA ANÁLISE SOBRE SEU IMPACTO NO CRESCIMENTO ECONÔMICO DOS MUNICÍPIOS MINEIROS NO PERÍODO DE 2009 A 2015

Considerando que as Despesas Públicas se referem ao conjunto de gastos do governo com o objetivo de proporcionar o funcionamento e manutenção dos serviços prestados à sociedade, este trabalho tem como objetivo analisar o impacto das despesas de capital no crescimento econômico dos municípios do estado de Minas Gerais, no período de 2009 a 2015. Para fins de estimação dos resultados, é utilizado o Modelo de Efeitos Aleatórios de Dados em Painel. Para a escolha do modelo, é rodado o teste de Hausman. As variáveis utilizadas são extraídas da Secretaria do Tesouro Nacional, Fundação João Pinheiro e Instituto Brasileiro de Geografia e Estatística. A partir dos dados obtidos, constata-se que as despesas de capital exercem influência positiva e significativa no crescimento econômico dos municípios mineiros, ou seja, a cada R$ 100,00 investidos em infraestrutura, o PIB do município tende a aumentar cerca de R$ 1,58. Evidencia-se, ainda, que despesas com pessoal e encargos, assistência social, saúde e saneamento influenciam positivamente no Produto Interno Bruto desses municípios. Dessa forma, é possível inferir que os gastos do governo, especialmente os referente às despesas de capital, são relevantes para promover o crescimento econômico dos municípios de Minas Gerais.
Increased Antidepressant/Anxiolytic Prescriptions are Impacted by the Society in Multiple Ways

Since the first appearance of antidepressant, iproniazid in the 1950s (1) and first anxiolytics, librium in 1960 (2), there has been increased uses of anxiolytics and antidepressants drugs across the years. Although the drugs often come with some side effects, the use of these drugs are becoming more popular. The drugs are used to cure mental problems like anxiety disorder and depression by controlling the neurotransmitters like GABA-A, serotonin, dopamine, and norepinephrine in the synapses between neurons in our body. This paper will try to find the cause of this phenomenon by looking at different factors like the impact of COVID-19, gender, economic influence, and veteran PTSD. Different events cause different hormonal changes in the body such as, hormone releases from menstruals cycle during ovulation, stressful, lonely, and fearful situations, causing potential impact on one’s body and one’s vulnerability to anxiety and depression. This paper will also look at the negative side of both medical and illicit anxiolytics and antidepressants, including side effects, abuse and addiction, and look for potential solutions to these problems.
GIS-Based Probabilistic Modeling of BEV Charging Load for Australia

Due to the unknown spatio-temporal distribution of a battery electric vehicle’s (BEVs) charging load, introducing large quantities of BEVs into the transportation sector has drawn growing concerns about the negative impacts on the power grid system. Based on real-world vehicle driving survey data, this paper presents a deterministic and a probabilistic model to quantitatively investigate the spatio-temporal distribution of BEV charging load for Australia. Whilst the trip-chain-related travel parameters for the deterministic model are directly taken from travel survey data, those for the probabilistic model are generated by the ${k}$ -nearest-neighbor algorithm. The probabilistic model is validated and applied to simulate the spatio-temporal distribution of BEV load based on GIS-gridded data for Australia. We are able to distinguish different temporal BEV charging load distributions for weekdays vs. weekends, and with heavy spatial concentration in capital cities.
Tensor-diffusivity mixed model : balancing reconstruction and truncation

Large-Eddy Simulation (LES) with regular explicit filtering is investigated.The partial reconstruction of the filtered-scale stress is done through the tensordiffusivity model of Leonard: it provides for backscatter along the stretching direction(s), and for global dissipation, both also attributes of the exact filtered-scale stress. The necessary truncations (LES grid and numerical method) are responsible for an effective subgrid-scale stress. The explicit filter width must be chosen in relation to the grid size. A natural mixed model is then the tensor-diffusivity model supplemented by a dynamic Smagorinsky term. This model is reviewed, together with useful connections to other models, and is tested against Direct Numerical Simulation (DNS) of turbulent isotropic decay starting with Re f 90: LES is started from a 2563 DNS truncated to 643 or 483 and Gaussian filtered. Diagnostics in this test include energy decay, enstrophy decay and energy spectra. After an initial transient of the dynamic procedure, the mixed model is found to produce good results. The results are similar to those obtained when using the dynamic Smagorinsky model without explicit filtering. The dynamic mixed model appears as a good compromise between sufficient reconstruction of the filtered-scale stress and modeling of the subgrid-scale stress.
FairSplit - An efficient near-optimal bandwidth splitting strategy for OFDMA in IEEE 802.11ax

IEEE 802.11ax introduces OFDMA where multiple users transmit concurrently. This is particularly useful in dense scenarios where the density of WiFi connected devices is very high in settings such as stadiums, airports, classrooms, etc. The effectiveness of such a system relies heavily upon an efficient Scheduling and Resource Allocation (SRA) algorithm. One approach towards designing such an algorithm is to model this problem as a constrained optimization problem that maximizes a linear utility function. Such a framework attempts to adapt several standard SRA rules, like maximizing the Sum Rate, Proportional Fair, to the OFDMA settings. State-of-the-art (SOTA) SRA heuristics lack theoretical guarantees. In this paper, we show a reduction of the SRA problem in OFDMA to a budgeted variant of the maximum weight matching problem on bipartite graphs. We observe that this problem is NP-hard. Hence, we design an efficient approximation algorithm, FAIRSPLIT, with provable guarantees. We demonstrate the effectiveness of our algorithm through a variety of simulations. We see that FAIRSPLIT outperforms SOTA by 11-48% in terms of aggregate throughput while utilizing the bandwidth more efficiently.