Miracle-dz/UniFAR-FTUs huggingface dataset:
Robot Path Planning Agent for Evaluating Collaborative Machine Behavior

We first review the literature on machine behavior which may contain the interaction between machines, and then discuss the methodology and the related case involving collaboration between robots to instantiate the concept with AI empowerment. The navigation case aims to a security application with autonomous control and roadside agent embedded in a mobile edge computing structure. In the studied navigation based on the artificial potential field method, robots need to use position information to calculate the moving direction frequently. In the case of high motion speed as well as GPS positioning error, the path trajectory may show a sharp change of direction. In order to mitigate the trajectory oscillation, this paper proposes a path planning design where training process and motion direction prediction are integrated by using artificial neural network. The auxiliary navigation agent near multiple obstacles can first extract the past movement information of the robot and then determines whether there is a serious path jitter event. Computer simulation analysis shows that the combination of autonomous control and cooperative behavior can effectively reduce the path jitter so as to achieve a fast and safe path planning.
Morphological and Molecular Characterization of Human Gingival Tissue Overlying Multiple Oral Exostoses

Gingival and osseous augmentations are reported as hypertrophic or hyperplastic reactions to different factors including chronic traumatisms and surgeries such as free gingival graft (FGG) that induce an abnormal growth of both hard and soft tissues in genetically predisposed subjects. Since an imbalance in collagen turnover plays a key role in the development of gingival overgrowth leading to an accumulation of collagen in gingival connective tissue, in this study we described the histological and molecular features of three oral overgrowths obtained from a 34-year-old woman previously operated for FGG in order to evaluate a possible relationship between exostoses and overgrown tissue. Healthy and overgrown gingiva were analyzed by histological methods, and the expression of genes and proteins involved in collagen synthesis, maturation, and degradation was assessed in cultured fibroblasts obtained from gingival fragments at the molecular level. Our results show that general morphology and collagen content were similar in healthy and overgrown gingivae. However, fibroblasts obtained from the overgrown gingiva revealed an anabolic phenotype characterized by an increased collagen turnover and maturation. These findings indicate that an exostosis could act as a mechanical stimulus stretching the overlying connective tissue and triggering an anabolic phenotype of gingival fibroblasts and suggest to use minimally invasive surgical techniques to avoid traumatizing the periosteal tissues for the eradication of the exostosis with minimal relapses.
Power Factor Correction for Three Phase Induction Motor Drive System

This paper presents the study of a three phase PWM inverter-fed induction motor drive with single phase utility input, with and without a power factor correction circuit (PFC). The PFC circuit is controlled with the proposed predictive current control. The effects of the PFC circuit on the magnitude of the input current, harmonic contents and input power factor of the A.C drive system are studied. The Fast Fourier Transform (FFT) is used to get the frequency spectrum of the current waveforms. A comparative study of simulation and experimental results for the A.C. drive system, with and without PFC circuit, is carried out. The experimental implementation of PFC control of the boost converter controlled three-phase IM drive system, with FOC principles in real time, using DSP controller board DS1104 is achieved using the proposed predictive control. The proposed PFC control method used to achieve a low input line current harmonics, for obtaining a good power quality with a fast dynamic response for output voltage and line current.
Implementation of image processing for detection of brain tumors

Processing of magnetic resonance images (MRI) is one among the parts of the image processing in medical field, which is the most emerging field from past few days. The tumor detection is often a preliminary phase. This paper describes the detection of the brain tumor by thresholding method. The proposed technique can be efficiently applied to detect and extract the brain tumor from MRI images obtained from patient data base. It proves to be handy tool for the physicians working in this field.
Wireless Smart Implants Dedicated to Multichannel Monitoring and Microstimulation

This invited paper covers several techniques and methods employed to build high reliability circuits and systems dedicated to implement advanced implantable and wirelessly controlled smart medical devices such as sensors and microstimulateurs. A global view of typical micro-devices such us neural signals monitoring device, cortical multichannel stimulator, as well as peripheral nerve interfaces to recuperate bladder functions, is given. In addition, case studies related to peripheral and cortical neural systems are reported. In all these devices, special attention is paid to low-power management of involved systems and to the design of corresponding circuits of such typical implantable multi-disciplinary microsystems.
When Governments Promise to Prioritize Public Debt: Do Markets Care?

During the European sovereign debt crisis of 2011–13, some nations faced with rising borrowing costs adopted commitments to treat bondholders as priority claimants. That is, if there were a shortage of funds, bondholders would be paid first. In this article, we analyse the prevalence and variety of these types of commitments and ask whether they impact borrowing costs. We examine a reform that was widely touted at the height of the Euro sovereign debt crisis in 2011, in which Spain enshrined in its constitution a strong commitment to give absolute priority to public debt claimants. We find no evidence that this reform had any impact on Spanish sovereign bond yields. By contrast, our examination of the US Commonwealth of Puerto Rico suggests that constitutional priority promises can have an impact, at least where the borrower government is subject to supervening law and legal institutions.
Teachers' pedagogical practices, shift, and professional growth in online courses

This phenomenological study aims to understand the faculty member’s technological and pedagogical challenges when they teach an online course. The participants of the study were eight faculty members from a Midwestern university. All the participants had attended at least one Quality Matters workshop that was intended to help them design their online courses. While the workshops that the participants attended were similar, they were not the same. Some had participated in the workshop five or six years ago, and some had attended a more recent one. The faculty members then worked with instructional developers at the same university to design and develop their online course before it was offered to students. The study findings are categorized based on the emerging themes resulting from these interviews. Results of this study will inform the decision making that influences online teaching as well as professional development opportunities offered to the faculty who teach online courses. TEACHERS’ PEDAGOGICAL PRACTICES, SHIFT, AND PROFESSIONAL GROWTH IN ONLINE COURSES A Dissertation Submitted in Partial Fulfillment of the Requirements for the Degree Doctor of Education Approved: ______________________________________________ Dr. Jill Uhlenberg, Chair ______________________________________________ Dr. Sarah Vander Zanden, Co-Chair ______________________________________________ Dr. Benjamin Forsyth, Committee Member ______________________________________________ Mr. Christopher Neuhaus, Committee Member Maryam Rod Szabo University of Northern Iowa May 2018
Bulletin comment: Openness, transparency and candour†

Professor Dinesh Bhugra made bold attempts to move psychiatry forward when President of the Royal College of Psychiatrists. In May 2012, Julia Bland went to pick his brains as he prepares to take up the post as head of the World Psychiatric Association (WPA). It is a sign of how things have changed
The generation of Bessel beams using nanoscale planar slit arrays

In this paper we propose a nanoscale planar lens structure for generating Bessel beam like fields to achieve large focal lengths and depth of fields. The structure consists of sub wavelength slits of different widths constructed on a thin metallic slab that is surrounded by air on both sides. The proposed structure is simulated using a modal technique that represents the structure as a waveguide and solves for the modes of the waveguide. Although diffraction affects the behavior of the generated beam from that of conventional Bessel beams, the simulation results show that the proposed structure is very promising for obtaining a very compact Bessel beam generator.
Relay dueling network for visual tracking with broad field-of-view

A deep reinforcement-learning-based method is presented for visual object tracking tasks. The key objective is to generate a sequence of actions which can move or scale the bounding box in the previous frame to track the target in the current frame. Two intelligent agents are trained to accomplish the above task with a special dueling deep Q-learning network (Dueling DQN), referred to as a relay dueling network. The proposed model is divided into two agents: the movement agent and the scaling agent. The former performs horizontal or vertical movements and the latter generates scaling actions to change the size of the bounding box. The model has multiple inputs that cover both the bounding box region and the enlarged search region to improve the agents' perception of the surroundings. The proposed method has a broader field of vision than other similar trackers and its distribution of actions makes it easy to train and improve its tracking performance. The proposed network is tested on popular standard tracker benchmarks and its performance is compared with state-of-the-art trackers. The proposed network is found to be competitive in tracking accuracy and execution effectiveness when compared to conventional methods.
Chromosome numbers, RAPD and ISSR profiles of six Zingiber species found in Manipur, India

Abstract. Bidyaleima L, Kishor R, Sharma GJ. 2019. Chromosome numbers, RAPD and ISSR profiles of six Zingiber species found in Manipur, India. Biodiversitas 20: 1389-1397. The present investigation was done to assess the cytological information and genetic relationships among six species of Zingiber, viz., Zingiber capitatum, Z. kangleipakense, Z. kerrii, Z. montanum, Z. officinale and Z. zerumbet found in Manipur, North-East India. The somatic chromosome numbers observed were 2n = 22 for Zingiber capitatum, Z. kerrii, Z. montanum, Z. officinale and Z. zerumbet, whereas Z. kangleipakense showed tetraploidy with 2n = 44. The somatic chromosome numbers of Zingiber kangleipakense and Z. kerrii are reported for the first time. Randomly amplified polymorphic DNA (RAPD) and inter-specific sequence repeat (ISSR) molecular markers were employed to reveal the genetic relationships among the six species. The pair-wise Jaccard genetic similarity varied from 0.518 to 0.658 for RAPD and from 0.436 to 0.682 for ISSR data. Dendrogram derived from the combined data of RAPD and ISSR clustered the six members into two groups. The detected polymorphism level represents high genetic distance at the inter-species level, and introduces RAPD and ISSR as efficient markers for the assessment of genetic relatedness in Zingiber. Our results may provide useful information for application in breeding, conservation and utilization.
A COMPARATIVE STUDY OF MPPT METHODS FOR PHOTOVOLTAIC SYSTEM CASE STUDY: PV ON ROOF OF UPPER EGYPT BUILDINGS

Recently, depending on PV systems has critical importance to surmounted the energy crunch in Egypt. The Ministry Of Electricity And Renewable Energy found the burden of electricity so tended to save energy in government building and begin the implementation of solar photovoltaic energy stations connected to grid on the roof of all electricity companies buildings. In this paper, a comparison has been made between Perturb and Observe (P&O) and Incremental Conductance (INC) methods of Maximum Power Point Tracking (MPPT) to achieve the highest efficiency and output power to a solar power station (40.18 kW) established on the roof of Upper Egypt Electricity Distribution Company (UEEDC) which has been selected as a case study. Moreover, a simulation has been developed under the influence of different solar radiation. All the simulation results has been developed using PSIM software packages.
Caractérisation par protéomique et transcriptomique des mécanismes de résistance à la sulfadiazine chez Toxoplasma gondii.

Toxoplasma gondii est un parasite protozoaire intracellulaire obligatoire, responsable d'une infection cosmopolite tres repandue, la toxoplasmose. Les differents schemas de traitement de la toxoplasmose reposent sur l'association de la pyrimethamine et d'un sulfamide qui agissent en synergie pour bloquer la voie de synthese des folates. Cependant des echecs therapeutiques ont ete rapportes dans la litterature, et trois souches naturellement resistantes a la sulfadiazine, TgA 103001 (Type I), TgH 32006 (Type II) et TgH 32045 (Type II variant), ont ete decrites. Notre travail a porte sur l'etude des mecanismes de resistance a la sulfadiazine chez T. gondii. Nous nous sommes interesses dans un premier temps a l'implication des genes cibles, dhps et dhfr, ainsi que les ABC transporteurs TgABC.B1, TgABC.B2, TgABC.C1 et TgABC.C2 dans la resistance a la sulfadiazine chez T. gondii. Cependant aucun polymorphisme ni surexpression de ces genes n'a pu etre relie aux mecanismes de resistance. Nous avons ensuite compare les proteomes des souches naturellement resistantes aux proteomes des souches sensibles RH (Type I) et ME-49 (Type II) par DIGE. Parmi les 31 proteines differentiellement exprimees entre souches sensibles et resistantes, quatre proteines, ROP2, MIC2, ENO2 et IMC1, nous ont semble interessantes. Afin de s'affranchir des variations liees aux differences de fond genetique des souches, les souches sensibles RH et ME-49 ont ete rendues resistantes in vitro a la sulfadiazine par pression medicamenteuse croissante, resistance validee in vitro grâce a la mise au point d'un nouveau test de chimiosensibilite. Nous avons ensuite, par 2-DE, compare les proteomes des souches de type II sensible (ME-49), et resistantes (ME-49-RSDZ et TgH 32006) sans identifier le ou les candidat(s) implique(s) dans la resistance medicamenteuse. Cependant, l'analyse des souches ME-49 sensible et ME-49-RSDZ resistante, par microarrays, nous a permis d'identifier une cible appartenant a la voie de synthese des folates : la folylpolyglutamate synthase.
A GEANT-based model for single event upsets in SRAM FPGAs for use in on-detector electronics

A model is proposed to calculate expected single event upset rates in Xilinx's line of radiation-hardened field programmable gate array offerings for the radiation environment at the PHENIX experiment on the Relativistic Heavy Ion Collider at Brookhaven National Laboratory. The results of this model are compared to an experiment carried out at PHENIX, where actual upset data was obtained. Specific attention is given to unique features of the model, including major sources of "secondary" radiation flux
Low-Profile Wideband CTS Array Using Substrate-Integrated Waveguide Technology for $K$ -Band Applications

A low-profile wideband continuous transverse stub (CTS) array with stable radiation patterns is proposed in this communication. It is integrated on six-layer substrates by using substrate-integrated waveguide (SIW) technology, which consists of three parts: a line source generator (LSG), a power divider, and a CTS radiator. The LSG can generate a quasi-TEM wave by using an offset parabolic cylindrical reflector based on geometrical optics (GO), and the CTS radiator is fed in parallel by a 1-to-8 power divider. The performance of the proposed antenna is demonstrated by simulation and measurement. The measurement results show that the fabricated prototype achieves a wide impendence bandwidth of 32.6% from 17.2 to 23.9 GHz with a reflection coefficient below −10 dB. The measured peak gain is 22.6 dBi occurring at 22 GHz in the broadside direction. The proposed SIW-CTS array has a low-profile, high gain, low cross polarization, and a compact structure of <inline-formula> <tex-math notation="LaTeX">$9.95\lambda _{0}~8.13\lambda _{0}~0.27\lambda _{0}$ </tex-math></inline-formula>, which can be applied to the wireless communication system in <inline-formula> <tex-math notation="LaTeX">$K$ </tex-math></inline-formula>-band.
Estimating Range and Relationship of EEG Frequency Bands for Emotion Recognition

EEG based emotion recognition is the most significant technique to identify human emotions effectively. An attempt is made to identify range of frequency bands for each discrete emotion using frequency band analysis of EEG signals. Each frequency band is associated with relative power values. These relative power values assist to estimate range for frequency bands. The results are evaluated for absolute and relative power values of EEG signal in each frequency band. Further, Bayesian network is constructed to represent relationship between frequency bands and emotion. As a result, theta and alpha bands found to be more active than beta and gamma
Inside-out and Standard Vein Grafts, with or without Muscle Filling, in Peripheral Nerve Repair: A Histomorphometric Study

Aim: The aim of this study was to compare two tubulization techniques, inside-out veins and standard veins, both filled with skeletal muscle or not, in sciatic nerve by morphological and histomorphometric study. Methodology: Seventy Wistar rats were divided in 4 experimental groups (IOVNF - inside-out vein with no filling; IOVSM - inside-out vein filled with skeletal muscle; SVNF - standard vein with no filling; and SVSM - standard vein filled with skeletal muscle) and a control group (Sham). The left external jugular vein was sectioned into about 14 mm segments to be used as autologous vein grafts. A 10 mm gap was then created in the sciatic nerve and the vein graft was inserted into the vein with or without filling of the right caudal tibial muscle. The animals were euthanized 12 weeks after surgery. Results: Myelinated and unmyelinated nerve fibers were observed in the histological analyses for all groups, as well as neoformation of the perineurium and intraneural organization of fascicles and blood vessels. In the morphometric analysis of the distal stump, regarding the myelin sheath area, all groups had a significant difference. The IOVNF group had the highest means for fiber, axon and myelin sheath areas. The SVSM group had the lowest means in all features measured, except for the axon area (4.95±1.72 graft; 3.71±0.90 distal stump). Conclusion: These results show that sciatic nerve repair with inside-out veins and no filling (IOVNF) had the best results, in the majority of measured variables, when compared to the other groups.
Optimizing Motor Thermal Models

The thermal limitations of induction motors are specified by thermal limit curves that are plots of the limiting temperature of the rotor and stator in units of l2t. This paper discusses the thermal protection provided by rotor and stator thermal models defined by the thermal limit curves and supporting motor data. The thermal model is the time-discrete form of the differential equation for temperature rise due to current and is derived from fundamental principles as shown in the Appendix. The rotor model derives the slip-dependent l2r watts using voltage and current that permit the safe starting of high-inertia drive motors. The performance of the models is shown in constant and cyclic load tests.
BELIV'06: beyond time and errors; novel evaluation methods for information visualization

Not every new visualization is useful. How can we better separate the wheat from the chaff, report the thrill or gauge utility? We organized BELIV’06, a workshop about evaluation in information visualization, to answer this kind of question. BELIV’06 was born from an acknowledgment of current methods’ limitations, and some frustration with time-consuming evaluations that too often lead to unsatisfactory results. Good information visualization (InfoVis) provides users with accurate visual representations of data as well as powerful interaction tools that facilitate exploration, understanding, and discovery. InfoVis is successful when users can gather new, nontrivial insights, a process that takes place over days or months and can rarely be simulated with series of short tasks. We judge metrics such as task time completion and number of errors to be insufficient to quantify the success of a system, thus the name of the workshop: “Beyond Time and Errors. ” We received a surprisingly diverse set of papers, many of which addressed topics not covered in InfoVis or HCI conferences. About 35 researchers in the field participated in lively discussions. John Stasko launched the workshop with a presentation titled “Evaluating information evaluation: Issues and Opportunities. ” Presentation of papers followed as outlined below.
A complete algorithm for visibility-based pursuit-evasion with limited field of view

We study a form of the pursuit-evasion problem, in which one or more searchers must move through a given environment so as to guarantee detection of any and all evaders, which can move arbitrarily fast. Our goal is to develop techniques for coordinating teams of robots to execute this task in application domains such as clearing a building, for reasons of security or safety. To this end, we introduce a new class of searcher, the -searcher, which can be readily instantiated as a physical mobile robot. We present a detailed analysis of the pursuit-evasion problem using -searchers. We show that computing the minimum number of -searchers required to search a given environment is NP-hard, and present the first complete search algorithm for a single -searcher. We show how this algorithm can be extended to handle multiple searchers, and give examples of computed trajectories.
A 2-D/3-D image sensor with PPD-based lock-in pixels

This paper presents an image sensor with PPD-based lock-in pixels to provide high-quality 2-D color image and high-accuracy 3-D depth map in a time-multiplexed manner. The prototype chip demonstrates the demodulation of 20 MHz time-of -flight signal with the contrast of 52.8%.
Research of Neural Network Models Regression Depth of Technological Parameters Identification for Magnetite Quartzite Beneficiation Process

— Based on autoregressive models of neural network identification the equation of one-step and multi-step predictor variables showed on the basis of NNARX, NNOE models. Research of the influence of the depth of regression on the quality of the identification and on the speed of convergence was performed. The results of identification modelling on real performance of beneficiation process are given below.