Miracle-dz/UniFAR-FTUs huggingface dataset:
Tactlets: Adding Tactile Feedback to 3D Objects Using Custom Printed Controls

Rapid prototyping of haptic output on 3D objects promises to enable a more widespread use of the tactile channel for ubiquitous, tangible, and wearable computing. Existing prototyping approaches, however, have limited tactile output capabilities, require advanced skills for design and fabrication, or are incompatible with curved object geometries. In this paper, we present a novel digital fabrication approach for printing custom, high-resolution controls for electro-tactile output with integrated touch sensing on interactive objects. It supports curved geometries of everyday objects. We contribute a design tool for modeling, testing, and refining tactile input and output at a high level of abstraction, based on parameterized electro-tactile controls. We further contribute an inventory of 10 parametric Tactlet controls that integrate sensing of user input with real-time electro-tactile feedback. We present two approaches for printing Tactlets on 3D objects, using conductive inkjet printing or FDM 3D printing. Empirical results from a psychophysical study and findings from two practical application cases confirm the functionality and practical feasibility of the Tactlets approach.
Prudent cooperators can save cooperation I

In the prisoners dilemma, cooperators are at an obvious disadvantage compared to defectors in well-mixed populations. We extend the game by introducing a new strategy prudent cooperation where cooperators pay a cost to identify the strategy of their opponents and abstain from playing the game if matched with a defector. We study the strategic nature of the resulting game and identify different cost thresholds that determine the behavior of the dynamics. If the cost of detection of defectors is sufficiently low, the game is a rock-paper-scissors game and cooperation can evolve with the help of prudent cooperators.
Fuzzy Model of 16 PSK and 16 QAM Modulation

In the paper, a concept of Additive Fuzzy Noise (AFN) channel is introduced. The theoretical equations are derived for Bit Error Rate (BER) and Symbol Error Rate (SER) with some digital modulation scheme in the AFN channel. Following modulations are considered: Phase Shift Keying (16PSK), Quadrature Amplitude Modulation (16QAM). The fuzzy approach to these modulations is presented. The BER and SER values are calculated using possibility theory. The results obtained by fuzzy noise model are compared with conventional approach, where probability models of the noise are used. Keywords—Fuzzy modulation, BER, possibility, probability, PSK, QAM, noise, signal.
Can we predict when to start renal replacement therapy in chronic kidney disease patient by using 6 months clinical data ? by

············································································································ i TABLE OF CONTENS ···························································································· ii LIST OF FIGURES ·································································································· iii LIST OF TABLES ···································································································· iv .
Parameterization of Lumped Thermal Dynamics in Cylindrical Lithium Ion Batteries for Core Temperature Estimation and Health Monitoring

Lithium ion batteries should always be prevented from overheating and hence thermal monitoring is indispensable. Since only the surface temperature of the battery can be measured, a thermal model is needed to estimate the core temperature of the battery, which can be higher and more critical. In this paper, an online parameter identification scheme is designed for a cylindrical lithium ion battery. An adaptive observer of the core temperature is then designed based on the online parameterization methodology and the surface temperature measurement. A battery thermal model with constant internal resistance is explored first. The identification algorithm and the adaptive observer is validated with experiments on a 2.3Ah 26650 lithium iron phosphate/graphite battery. The methodology is later extended to address temperature dependent internal resistance with non-uniform forgetting factors. The capability of the methodology to track the long term variation of the internal resistance is beneficial for battery health monitoring.
Measuring Implemented Grammar Evolution

Natural language grammar implementations that are constructed manually can grow over time to become large, complex resources covering an ever wider range of language phenomena. It would be useful both for the grammarian and for the users of a grammar to have a good understanding of how a later version of that grammar behaves in contrast to an earlier version, particularly in terms of the treatment of linguistic phenomena. This paper presents a case study of the evolution of an implemented grammar, comparing two versions of the same grammar by measuring several properties of the analyses recorded using that grammar in two corresponding versions of an associated dynamic treebank.
jmbSpecial Topic-Antibiotics Potential Antimicrobial Applications of Chitosan Nanoparticles ( ChNP )

Chitosan, a derivative of chitin is a cationic polysaccharide composed of N-acetyl glucosamine and Dglucosamine [1]. Interestingly, chitosan consists of several functional groups which can be modified for numerous applications. Chitosan has been recognized as a versatile biopolymer because of its non-toxicity, biocompatibility, low allergenicity and biodegradability properties [2]. Chitosan is also classified as safe to be used by the US Food and Drug Administration (FDA) for wound dressing applications [3]. However, chitosan is a weak base and it has low solubility in neutral and alkaline media which limits its applications. Nevertheless, this limitation can be overcome by improving the formulation [4]. The most significant characteristic of this biopolymer which makes it able to adhere to the scaffold is the high porosity characteristic [5]. In addition, chitosan is the only biodegradable polymer that exhibits cationic character because of its primary amino groups [6]. Furthermore, chitosan and chitin have been employed as a base material in nanotechnology application. Besides, chitosan shows significant antimicrobial properties because it binds the negatively charged residues of the bacterial cell wall. Electrostatic force between positively charged chitosan promotes a closer interaction with negatively charged bacteria cell wall, that leads to the penetration of drug through the bacteria cell wall. This is because bacterial cell wall is made up with a layer of peptidoglycan which is rich in negatively charged carboxyl and amino groups [7]. So, the potential of chitosan to gather at the site of infection will increase. Chitosan is also able to alter the electron transport chain of bacterial membranes [8]. This system is responsible to generate electron carriers and builds a proton gradient in the inner membrane of mitochondria, which is important for ATP production [9]. The antimicrobial activity of chitosan depends on the type of chitosan, degree of deacetylation and most importantly, the molecular weight [10]. Other Received: April 29, 2019 Revised: June 21, 2019 Accepted: July 8, 2019
Visual Place Recognition Method Based-on CNN Features for Indoor Robot Navigation

Place recognition algorithm based-on visual sensor is crucial to be developed especially for an application of indoor robot navigation in which a Ground Positioning System (GPS) is not reliable to be utilized. This research compares the approach of place recognition of using learned-features from a model of Convolutional Neural Network (CNN) against conventional methods, such as Bag of Words (BoW) with SIFT features and Histogram of Oriented Uniform Patterns (HOUP) with its Local Binary Patterns (LBP). This research finding shows that the performance of our approach of using learnedfeatures with transfer learning method from pretrained CNN AlexNet is better than the conventional methods based-on handcrafted-features such as BoW
BIOLOGICAL ACTIVITY OF THE EGYPTIAN MEDICINAL PLANTS : PART 3 ANTI-OXIDANT , CYTOTOXICITY , ANTI-DIABETIC ACTIVITIES AND CONSTITUENTS OF BETA VULGARIS SUBSP . PERENNIS

-Several columns chromatography of the ethyl acetate fraction of Beta vulgaris subsp. perennis (family Chenopodiacaea) resulted in isolation of quercetin, 4'-hydroxy-5methoxy-6,7methylenedioxy flavanone, quercetrin and rutin. In addition to the phenolic acids: syrinigic, ferulic and the monoterpene dehydro-vomifoliol. The structure of these compounds was confirmed by spectral methods as well as comparison with reported data. The antioxidant activity indicated moderate activity SC 8. 5μg/ml, compared with that of vitamin C (SC 1.24μg/ml). The total ethanolic extract of Beta 50 50 vulgaris subsp. perennis exhibited a mild cytotoxic activity (IC 60.26ìg/ml compared with 50 Doxorubicin IC 21.4μg/ml) against Hep-G2 cells. The ethyl acetate extract (400mg/kg) has nearly the 50 same potency as glibenclamide (5mg/kg), but the aqueous extract (400mg/kg) has higher potency than glibenclamide. The aqueous extract significantly decreased rat hind paw edema thickness compared to control group. Ethanolic extract has no anti-inflammatory effect.
GRAY-BOX IDENTIFICATION USING POLYNOMIAL NARMAX MODELS

Overview It is common to approximate nonlinear models with a collection of linear models, but sometimes it can cause problems, such as lack of representativeness of the nonlinear behavior and generation of nonexistent peaks. Nonlinear identification has been improved to overcome these problems. The type of nonlinear model used in this work is the polynomial Nonlinear AutoRegressive Moving Average models with eXogenous inputs (NARMAX). In the present work, a gray-box identification is compared with the blackbox one for optimization and control purposes. The identification was performed using an orthogonal least square algorithm and validation was made using k-step-ahead cross-validation method. Dynamic realtime optimization was set based on both first-principle models and identified models, and compared, to evaluate the performance of identified nonlinear models. The gray-box model was more representative in relation to the nonlinearity of the system and generated closer solutions in the dynamic real-time optimization, when comparing with the solutions based on first-principle model.
( Campinas ) Computational and linguistic aspects of the construction of the Tycho Brahe Parsed Corpus of Historical Portuguese

Le Corpus Annoté du Portugais Historique Tycho Brahe est un corpus électronique de libre accès par Internet, composé de textes d’auteurs portugais nés entre les XVIe et XIXe siècles, ayant pour objectif la disponibilisation de 2.000. 000 mots annotés morphologiquement et syntaxiquement. Cet article présente les principaux aspects linguistiques et informatiques impliqués dans la construction de ce corpus, en particulier l’élaboration et l’application des systèmes de notation morphologique et syntaxique du point de vue linguistique et le développement d’un outil d’étiquetage automatique créé spécifiquement pour ce corpus.
Diiscussiion Paper and Workiing Paper Seriies THE RELATIONSHIP BETWEEN STRESS AND SOCIAL CAPITAL AMONG POLICE OFFICERS

This paper analyzes the effectiveness of social capital in reducing the negative externalities associated with stress, as well as the physical and psychological indicators of stress among police officers. Despite the fact that there is a large multidisciplinary literature on stress or on social capital, the link between both factors is still underexplored. In this empirical paper we therefore aim at reducing such a shortcoming. We focus on a strategically important work environment, namely law enforcement agents, that is not only characterized as physically and emotionally demanding, but also as an essential part for a well-functioning society due to the fact that inefficiencies in the police force can induce large negative externalities. Using a multivariate regression analysis focusing on nine different proxies for stress and two proxies for social capital and conducting several robustness checks, we find strong evidence that an increased level of social capital is correlated with a lower level of stress. From a policy perspective, our findings suggest that stress reduction programs should actively engage employees to build stronger social networks. JEL Classifications: I1; I310; J24; J81; Z130
Techniques for Frequency Synthesizer-Based Transmitters.

Techniques for Frequency Synthesizer-Based Transmitters by Mohammad Mahdi Ghahramani Chair: Michael P. Flynn Internet of Things (IoT) devices are poised to be the largest market for the semiconductor industry. At the heart of a wireless IoT module is the radio and integral to any radio is the transmitter. Transmitters with low power consumption and small area are crucial to the ubiquity of IoT devices. The fairly simple modulation schemes used in IoT systems makes frequency synthesizer-based (also known as PLL-based) transmitters an ideal candidate for these devices. Because of the reduced number of analog blocks and the simple architecture, PLL-based transmitters lend themselves nicely to the highly integrated, low voltage nanometer digital CMOS processes of today. This thesis outlines techniques that not only reduce the power consumption and area, but also significantly improve the performance of PLL-based transmitters. The main contributions of this thesis are three fold. First, we introduce a novel frequency quadrupler with sub-picosecond jitter. The 192MHz quadrupler is ideal for generating a fast, low jitter reference for a low phase
Designing for Projection-based Communication between Autonomous Vehicles and Pedestrians

Recent studies have investigated new approaches for communicating an autonomous vehicle's (AV) intent and awareness to pedestrians. This paper adds to this body of work by presenting the design and evaluation of in-situ projections on the road. Our design combines common traffic light patterns with aesthetic visual elements. We describe the iterative design process and the prototyping methods used in each stage. The final design concept was represented as a virtual reality simulation and evaluated with 18 participants in four different street crossing scenarios, which included three scenarios that simulated various degrees of system errors. We found that different design elements were able to support participants' confidence in their decision even when the AV failed to correctly detect their presence. We also identified elements in our design that needed to be more clearly communicated. Based on these findings, the paper presents a series of design recommendations for projection-based communication between AVs and pedestrians.
Efficient optical trapping with cylindrical vector beams

Radially and azimuthally polarized beams can create needle-like electric and magnetic fields under tight focusing conditions, respectively, and thus have been highly recommended for optical manipulation. There have been reports on the superiority of these beams over the conventional Gaussian beam for providing a larger optical force in single beam optical trap. However, serious discrepancies in their experimental results prevent one from concluding this superiority. Here, we theoretically and experimentally study the impact of different parameters — such as spherical aberration, the numerical aperture of the focusing lens, and the particles’ size — on optical trapping stiffness of radially, azimuthally, and linearly polarized beams. The result of calculations based on generalized Lorenz–Mie theory, which is in good agreement with the experiment, reveals that the studied parameters determine which polarization state has the superiority for optical trapping. Our findings play a crucial role in the development of optical tweezers setups and, in particular, in biophysical applications when laser-induced heating in the optical tweezers applications is the main concern. © 2019 Optical Society of America under the terms of the OSA Open Access Publishing Agreement
Vehicle Pose Estimation from Drive Recorder Images by Monocular SLAM and Matching with Rendered 3D Point Cloud of Surrounding Environment

Vehicle pose estimation is a vital technology for reconstructing the circumstaces of traffic accidents. We propose a novel method for reconstructing the trajectory of vehicles from drive recorder images and a point cloud around the road. First, we apply ORB-SLAM to image sequence of the drive recorder for obtaining the vehicle pose trajectory; however this is based on relative coordinates and a relative scale. For estimating the absolute coordinates and scale of the trajectory, which cannot be obtained from a monocular SLAM like ORB-SLAM, we match the feature points detected in the image sequence with the three-dimensional (3D) point cloud of surrounding environment. For finding 3D points matching the feature points, we generate candidate images by the rendering 3D point cloud of the surrounding environment using the position initially estimated by the Global Positioning System (GPS). Next, we match to obtain the 3D two-dimensional (2D) generated images and drive recorder image to get 3D-2D point correspondences between the 3D point cloud and the drive recorder images; thus, we can convert the relative estimation of the camera pose by ORB-SLAM to the coordinates of the 3D point cloud of the surrounding environment. In the evaluation experiments, we confirmed the effectiveness of our method by comparing the vehicle poses estimated by our method, with those of RTKGPS, which exhibits high measurement preci-
Relation of Cancer-Related Fatigue with Depression and Functional Status among Elderly Patients Undergoing Radiotherapy

Background: Cancer related fatigue, depression and functional dependence are among a confusing array of symptoms which commonly presented in the patients undergoing cancer treatment. These symptoms especially fatigue still largely ignored in older adults, hence, identifying these symptoms and analyzing the correlation which can be exist may have a special concern and are considering important cues for effective management of these symptoms. Aim: Determine the relation of cancer related fatigue with depression and functional status among elderly patients undergoing radiotherapy. Method: This is a descriptive correlational study designcarried on 120 elderly cancer patients that were attending the outpatient clinic of the Oncology and Nuclear medicine departmentat Main Mansoura University Hospital and were undergoing radiotherapy, patients were interviewed individually by the researcher to collect data using the study tools; Tool I : Interview questionnaire sheet, Tool II: Revised Piper Fatigue Scale, Tool III: Geriatric Depression Scale –short form, Tool IV:Katz and Akpom scale, and Tool V: Lawton and Brody scale. Results: Fatigue was positively correlated with depression and Katz scale for activity of daily livings; the higher fatigue was associated with higher depression and lower independency level. Also, there was a positive moderate correlation between depression and functional dependence in anactivity of daily livings. Conclusion: Fatigue, depression, and functional dependence are commonly and correlated symptoms in elderly cancer patients undergoing radiotherapy. Recommendations: Counseling sessions and educational program should be offered to elderly patients to be aware of the core information about fatigue, additionally, supportive care interventions and treatment of the associated symptoms (depression) should be a part of a comprehensive management strategy of cancer related fatigue.
Multi-Objective Optimization of User Capacity for WPCN

In this paper our goal is to maximize the individual user capacities of massive multi-input multi-output (MU-MIMO) systems through wireless powered communication network (WPCN). A multiple-objective optimization approach (MOOP) is developed while guaranteeing the quality of service (QoS) requirement. A new concept is proposed to derive Pareto solution via weighted Tchebycheff method from an equivalent single-objective optimization problem (SOOP) that minimizes the maximum of several quasiconvex fractional functions by iterative algorithm. The simulation results show that the proposed algorithm has the optimal performance and the user capacity of the distributed massive (DM) multi-input multi-output (MIMO) is considerably higher than that of the centralized massive (CM)-MIMO system.
a structural perspective,

Insulin-like growth factor binding proteins (IGFBP-1 to -6) bind insulin-like growth factors-I and -II (IGF-I and IGF-II) with high afﬁnity. These binding proteins maintain IGFs in the cir-culation and direct them to target tissues, where they promote cell growth, proliferation, differentiation, and survival via the type 1 IGF receptor. IGFBPs also interact with many other molecules, which not only inﬂuence their modulation of IGF action but also mediate IGF-independent activities that regulate processes such as cell migration and apoptosis by modulating gene transcription. IGFBPs-1 to -6 are structurally similar proteins consisting of three distinct domains, N-terminal, linker, and C-terminal.There have been major advances in our understanding of IGFBP structure in the last decade and a half. While there is still no structure of an intact IGFBP, several structures of individual N- and C-domains have been solved. The structure of a complex of N-BP-4:IGF-I:C-BP-4 has also been solved, providing a detailed picture of the structural features of the IGF binding site and the mechanism of binding. Structural studies have also identiﬁed features important for interaction with extracellular matrix components and integrins. This review summarizes structural studies reported so far and highlights features important for binding not only IGF but also other partners. We also highlight future directions in which structural studies will add to our knowledge of the role played by the IGFBP family in normal growth and development, as well as in disease.
12 Activity-Dependent Regulation of the Dopamine Phenotype in the Adult Substantia Nigra : Prospects for Treating Parkinson ’ s Disease

The motor symptoms of Parkinson’s disease (PD) are caused by degeneration of dopamine (DA) neurons in the substantia nigra pars compacta (SNc) and the resulting depletion of DA signaling in their target structure, the dorsal striatum (the nigrostriatal pathway). PD motor symptoms are successfully alleviated by systemic administration of a blood-brain barrier permeable DA precursor (levodopa) or DA receptor agonists (Olanow et al. 2001), however these treatments are marred by side-effects in some patients (Wood 2010), and increasingly unreliable response and shortened duration of effect coupled with the emergence of dyskinesias in most patients (Stocchi et al. 2010, Stocchi & Marconi 2010). These problems probably arise from loss of physiological storage, release and reuptake of nigrostriatal DA and ensuing down-stream changes in post-synaptic signaling, and from increased DA signaling in structures outside the nigrostriatal pathway, especially when D2 agonists are used. Targeted (nigrostriatal) reconstruction of physiological DA signaling, aimed at restoring nigrostriatal DA transmission to at least the level at disease outset, ought to alleviate PD motor symptoms without side-effects. However, attempts to achieve this by replacing SNc DA cells through transplantation or endogenous repair are often hampered by poor acquisition and maintenance of the DA phenotype in the microenvironment of the adult SNc (Brundin et al. 2000, Courtois et al. 2010, Torres et al. 2005, Bauer et al. 2000).