Miracle-dz/UniFAR-FTUs huggingface dataset:
Synchronization State of Coupled Chaotic Circuits Containing Time Delay

In this study, we investigate synchronization states observed in coupled chaotic circuits containing time delay. We focus on relationships between synchronization state and chaotic strength. Coexisting synchronization states depending on initial values can be observed in the proposed system. Moreover, we investigate the effect of chaotic behavior on the subcircuit to synchronization states. I. I NTRODUCTION Generally, generation of chaos is reported self excited oscillation system containing time delay. This chaotic circuit can be easily realized by using simple electric circuit element and analyzed exactly [1]. Furthermore, a number of studies on synchronization of coupled chaotic circuits have been made [2]. In this study, we investigate synchronization state observed in some chaotic circuits containing time delay coupled by inductor. Especially, we focus on the transition of synchronization state by changing the chaotic strength in this system. By carrying out computer simulations, two types of synchronization state depending on initial values and parameters can be observed. Moreover, we investigate the relationship between parameters and synchronization state. In addition we consider synchronization state of changes due to the number of subcircuits. II. C IRCUIT MODEL Figure 1 shows the chaotic circuit containing time delay. This circuit consists of one inductor L , one capacitor C , one linear negative resistor −g and one linear positive resistor R of which amplitude is controlled by the switch containing time delay. The current flowing through the inductor L is i, and the voltage between the capacitor C is v. The circuit equations are normalized as Eqs. (1) (2) by changing the variables as below. (A) In case of switch connected to −g, { ẋ = y ẏ = 2αy − x. (1) (B) In case of switch connected to G, { ẋ = y ẏ = −2βy − x. (2) By changing the parameters and variable as follow: i = √ C L Vthx, v = Vthy, t = √ LCτ , g √ C L = 2α andG √ C L = 2β. Figure 2 is chaotic attractor observed from the circuit. The switching operation is shown in Fig. 3, it controls the amplitude of the oscillator. This switching operation is included time delay.Td denotes the time delay. First, the switch is connected to a negative resistor. In state of that, the voltage v is amplified up to whilev is oscillating, the amplitude exceeds the threshold voltageVth which is the threshold control loop. Second, the system memorize the time as Tth while v is exceeding the threshold voltage Vth and that state is remained for Tth. In subsequent the instant of exceeding threshold Vth, the switch stays the state for Td. After that switch is connected to positive resistor during Tth. The switch does not immediately connect in the positive resistor however the switch is connected after Td. A set of switching operations control the amplitude of v. In the computer simulation, Td is
ADDIS ABABA UNIVERSITY SCHOOL OF GRADUATE STUDIES COLLEGE OF NATURAL SCIENCES DEPARTMENT OF COMPUTER SCIENCE Railway Infrastructure Health Monitoring Using Wireless Sensor Networks

The continuous miniaturization process of computing devices featuring wireless technologies influences our everyday life. With the popularity of laptops, cell phones, PDAs, GPS devices, RFID, and intelligent electronics in the post-PC era, computing devices have become cheaper, more mobile, more distributed, and more pervasive in daily life. The emergence of wireless sensor networks (WSNs) is essentially the latest trend of Moore's Law toward the miniaturization and ubiquity of computing devices. Wireless Sensor Networks are composed of devices of reduced size, self-powered and with wireless transmission capabilities. Because of these features this technology has been recognized as promising for a large variety of monitoring and surveillance applications. In this thesis, we presented the details of an application that makes use of WSNs to monitor railway infrastructures. The WSN collects information about the structural health and behavior of the infrastructure when a train travels along it and relays the readings to a base station. The base station uses the next train as a data carrier to upload the information. The use of a train as a data carrier is especially suitable to collect information from remote or inaccessible places which do not have a direct connection to the internet. We have implemented a railway infrastructure monitoring application and its application specific routing protocol on top of TinyOS operating system using nesC programming. We have also implemented data management method to make sure the sampled data is being stored for later purpose We have evaluated the performance of our application through simulation using COOJA simulator on TelosB sensor nodes. COOJA is the default simulator for Contiki operating system which can be used for TinyOS applications. Finally, we demonstrated the feasibility of our application and routing protocol. The experiment showed encouraging results.
On the Local Adjacency Metric Dimension of Generalized Petersen Graphs

The local adjacency metric dimension is one of graph topic. Suppose there are three neighboring vertex , , in path . Path is called local if where each has representation: a is not equals and may equals to . Let’s say, . For an order set of vertices , the adjacency representation of with respect to is the ordered -tuple , where represents the adjacency distance . The distance defined by 0 if , 1 if adjacent with , and 2 if does not adjacent with . The set is a local adjacency resolving set of if for every two distinct vertices , and adjacent with y then . A minimum local adjacency resolving set in is called local adjacency metric basis. The cardinality of vertices in the basis is a local adjacency metric dimension of , denoted by . Next, we investigate the local adjacency metric dimension of generalized petersen graph.
Huriye Armağan Doğan: UPORABA TEHNOLOGIJE SLEDENJA POGLEDA V RAZISKAVAH KULTURNE DEDIŠČINE IN PRAKSI

Eye tracking is a research tool that is based on measuring the eye movements which provides information about the cognition and visual processing of the subject. Therefore, analysing observer’s attentional processes can be both instructive for understanding the correlation between the cognitive process and eye movement, and furthermore whether the eye movements can reveal and disclose the perception of people. The technology of eye tracking is more accessible in recent years, and it is possible to implement this technology in cultural heritage studies. Recording and measuring the movements of the eye can give sufficient information about the areas which are catching the visual attention of the observers the most and that can help the specialists on the establishment of adaptive reuse strategies of the heritage buildings. In that regard, this paper is focusing on the usage of eye-tracking technology for understanding the perception of people regarding cultural heritage. KEY-WORDS cultural heritage, eye tracking, research, visual attention DOI: https://dx.doi. org/10.15292/IU-CG.2019. 07.016-021 UDK: 719 SUBMITTED: August 2019 / REVISED: September 2019 / PUBLISHED: November 2019 1.01 Izvirni znanstveni članek / Scientific Article Huriye Armağan Doğan: UPORABA TEHNOLOGIJE SLEDENJA POGLEDA V RAZISKAVAH KULTURNE DEDIŠČINE IN PRAKSI Huriye Armağan Doğan: UPORABA TEHNOLOGIJE SLEDENJA POGLEDA V RAZISKAVAH KULTURNE DEDIŠČINE IN PRAKSI: 16–21 17 THE CREATIVITY GAME – Theory and Practice of Spatial Planning No 7 / 2019
Automated Methodology for Optimizing Menus in Personalized Nutrition

In the personalized nutrition rationalized management system the central practical task is to compile an optimized menu that provides the best value for a multi-criteria set of assessments. These are nutrient composition, cost (economic acceptability), energy value, food intolerances, individual preferences, etc. To solve the problem, a combined optimization method is used. It includes preliminary ordering of options and controlled enumeration. The result of solving the problem of developing a personalized nutrition menu is a diet that meets the needs of a particular diet, taking into account its nutritional status, individual preferences and intolerances, medical appointments. In connection with discrete values of the outputs of dishes and recipes, the task of optimizing the human diet is in practice a combinatorially integer, and for its solution the method of computer modeling and controlled enumeration of options was used. Evaluation of the effectiveness of optimization is carried out by external experts. The developed menu design system makes it possible to repeatedly solve the problem of optimizing a personalized menu when changing incoming data for reasons of changing dietary tasks, introducing new products, changing food preferences, etc. With this approach, the system is a personalized food model that is regularly used for rational planning and allows to achieve a reduction in labor costs (compared to the “manual” compilation of a menu in a computer system) by 2-3 times. An additional way to use such a model is the targeted design of functional product formulations. Moreover, the properties of the product are not evaluated in isolation, but as part of a specific diet.
Running Head: How Social Presence on Twitter Impacts Student Engagement and Learning 1 How Social Presence on Twitter Impacts Student Engagement and Learning

Teenagers are using social media platforms like Facebook, Instagram, Snapchat, and Twitter for personal use. Little research, exists, however, on how these tools can be integrated into classrooms for teaching and learning purposes at the elementary and secondary school levels. The purpose of this study was to explore how social presence on Twitter can impact student engagement and learning in a Grade 8 mathematics classroom during an instructional unit on data management and probability. The conceptual framework for this study was based on social presence theory consisting of three categories (i.e., affective, interactive, and cohesive). This study was conducted over a 4-week period in a Canadian province and participants consisted of 6 students and their classroom teacher. Findings indicate that Twitter is a valuable tool for the teaching and learning of mathematical concepts. Running Head: How Social Presence on Twitter Impacts Student Engagement and Learning 3
The Concept Dictionary and Glossary at MCHP: Tools and Techniques to Support a Population Research Data Repository

The Manitoba Centre for Health Policy’s Concept Dictionary and Glossary, and the Data Repository they document, broaden the analytic possibilities associated with administrative data. The aim of the Repository is to describe and explain patterns of health care and illness, while the Concept Dictionary and Glossary create consistency in documenting research methodologies. The Concept Dictionary alone contains detailed operational definitions and programming code for measures used in MCHP research that are reusable in future projects. Making these tools available on the internet allows reaching a heterogeneous audience of academic and government health service partners, epidemiologists, planners, programmers, clinicians, and students extending around the globe. They aid in the retention of corporate knowledge, facilitate researcher/analyst communication, and enhance the Centre’s knowledge translation activities. Such documentation has saved countless hours for programmers, analysts and researchers who frequently need to tread paths previously taken by others.
Developing a Revenue Sharing Method for an Operational Transfer-Operate-Transfer Project

The transfer-operate-transfer (TOT) project model is used widely as a commercial framework for public-private-partnerships to support provision of infrastructure and enable the delivery of services. However, operational delivery of such projects can encounter certain challenges, such as the need for improved revenue sharing between governmental and private partners. The purpose of this paper is to design a revenue sharing method (RSM) that satisfies the revenue-sharing forecast in the contract design stage and the realized revenue sharing in the contract execution period for an operational TOT project. This approach identifies the impact of external uncertainty and effort level as well as the input ratio on revenue sharing of participants, distributes and reasonably minimizes the project revenue uncertainty among the participants, and achieves an improved matching of the participants’ revenue sharing with their risk-sharing, resource input and effort level. The paper utilizes the fuzzy-payoffs Shapley value method for revenue distribution for an operational TOT project, where the fuzzy alliance and input ratio coefficient are adopted to gradually optimize the Shapley value and form the RSM of an operational TOT project. The RSM allows prediction of the revenue sharing of participations under uncertain conditions of project revenue and supports improved decision-making by participants.
Fabric-Based Triboelectric Nanogenerators

In the past decades, the progress of wearable and portable electronics is quite rapid, but the power supply has been a great challenge for their practical applications. Wearable power sources, especially wearable energy-harvesting devices, provide some possible solutions for this challenge. Among various wearable energy harvesters, the high-performance fabric-based triboelectric nanogenerators (TENGs) are particularly significant. In this review paper, we first introduce the fundamentals of TENGs and their four basic working modes. Then, we will discuss the material synthesis, device design, and fabrication of fabric-based TENGs. Finally, we try to give some problems that need to be solved for the further development of TENGs.
Graphes aléatoires

Soit Gn l’ensemble de tous les graphes étiquetés à n sommets. Un espace de probabilité un peu plus évolué sur l’ensemble Gn s’obtient en fixant un réel p entre 0 et 1 et en choisissant chaque arête avec probabilité p, ces choix étant là encore indépendants les uns des autres. Comme 1− p est la probabilité qu’une arête particulière ne soit pas choisie, la fonction de probabilité P qui en résulte est donnée par
Values and subjective well-being in context of transition: Data from Serbia

This research explores two main objectives: 1st is to examine whether the Schwartz’s value theory (Schwartz et al., 2012) can be applied to the Serbian sample, and 2nd is to examine the intensity and the direction of the relation of those values with cognitive and affective components of subjective well-being in the specific socio-political context, which Serbia as a country in transition represents. The sample includes 412 adults, with the average age of M = 34.42 (SD = 6.305). The following self-description measures are used: the Portraits Values Questionnaire (PVQ-RR, Schwartz et al., 2012), The Satisfaction with Life Scale (Diener, Emmons, Larsen & Griffin, 1985), and Serbian Inventory of Affect based on the Positive and Negative Affect Schedule-X (SIAB-PANAS, Novović & Mihić, 2008). Gathered results demonstrate that the values established by the revised Schwartz’s model are adequately organized in our sample. Obtained relations between those values and the subjective well-being components can be regarded as expected and in accordance with the healthy values perspective referring to the relation of values and SWB. Finally, the implications of the obtained results are discussed.
The Effect of Free Distribution of Essential Medicines on Adherence by Income Sources and Level

Introduction: Public policies aimed at improving medicine adherence are restricted to people with a low income or to social assistance recipients. Objective: To determine whether the free provision of essential medicines has a different effect on adherence for people with different income levels and sources. Methods: In this post-hoc subgroup analysis of results from the CLEAN Meds randomized control trial, binary logistic regression was used as the primary analysis to determine whether free medication provision has different effects at different income levels and sources. Results: Despite the evidence to suggest that the RCT intervention has a significant effect on adherence (p=0.02), there was no substantial difference in the effect of free medicine distribution for people with different income levels or sources (p=0.73). Conclusion: The results of this study do not support the idea that programs aimed at improving access to medicines mostly improve adherence for those of certain income groups.
Synthesis and Characterization of Ag@C-TiO2 Nanocomposite for Degradation of Sasirangan Textile Wastewater

Carbon-titanium oxide nanocomposite (denoted as @C-TiO2) was successfully synthesized via hydrothermal method at 150°C for 24 h. The C-TiO2 nanocomposite was furtherly modified by adding an Ag metal dopant (denoted as Ag@C-TiO2) to improve and applied to the photocatalytic degradation of Sasirangan textile wastewater. The composite photocatalysts were characterized by XRD and UV–Vis DRS spectroscopies. XRD patterns showed that TiO2 in @C-TiO2 mainly consisted of a brookite phase, as indicated by a series sharp diffraction peak at 2θ = 27.2° (111), 31.5° (121) and 55.9° (241). The calculated band gap energy (Eg) derived from UV-Vis DRS spectra for TiO2, @C-TiO2, and Ag@C-TiO2 were 2.95 eV, 2.54 eV, and 2.74 eV, respectively. Ag@C-TiO2 photocatalyst was found to be active for the photocatalytic degradation of Sasirangan textile wastewater, as indicated by the change of wastewater color from dark to clear. The quantitative photocatalytic activity of Ag@C-TiO2 was evaluated in the degradation of methylene blue, whereas the conversion of methylene blue was 41.3%. The addition of Ag to @C-TiO2 is believed to play an essential role in the enhancement of photocatalytic activity.
Sociedad Mexicana de Ciencia y Tecnología Aeroespacial , A . C . 1 er Congreso Nacional de Ciencia y Tecnología Aeroespacial 71

This study is aimed to the development of a research in biomechatronics to be applied in the spatial personal orientation. The personal orientation in space involves the neural integration of proprioceptive, vestibular and visual sensory information. Our work is aimed to the development of vestibular like devices to provide head movement and position information in extreme conditions such as in micro-gravity. Keywords—mechanorreceptor, biosensor, personal orientation, artificial sensors.
Structural Building Damage Detection with Deep Learning: Assessment of a State-of-the-Art CNN in Operational Conditions

Remotely sensed data can provide the basis for timely and efficient building damage maps that are of fundamental importance to support the response activities following disaster events. However, the generation of these maps continues to be mainly based on the manual extraction of relevant information in operational frameworks. Considering the identification of visible structural damages caused by earthquakes and explosions, several recent works have shown that Convolutional Neural Networks (CNN) outperform traditional methods. However, the limited availability of publicly available image datasets depicting structural disaster damages, and the wide variety of sensors and spatial resolution used for these acquisitions (from space, aerial and UAV platforms), have limited the clarity of how these networks can effectively serve First Responder needs and emergency mapping service requirements. In this paper, an advanced CNN for visible structural damage detection is tested to shed some light on what deep learning networks can currently deliver, and its adoption in realistic operational conditions after earthquakes and explosions is critically discussed. The heterogeneous and large datasets collected by the authors covering different locations, spatial resolutions and platforms were used to assess the network performances in terms of transfer learning with specific regard to geographical transferability of the trained network to imagery acquired in different locations. The computational time needed to deliver these maps is also assessed. Results show that quality metrics are influenced by the composition of training samples used in the network. To promote their wider use, three pre-trained networks—optimized for satellite, airborne and UAV image spatial resolutions and viewing angles—are made freely available to the scientific community.
Omics signatures variability in 156 children from five European countries

Background: Omics technologies are becoming increasingly useful at characterising health status. In terms of environmental epidemiology, omics profiles may confer a source of markers of environmental exposures, especially in the early-years of life, that can be of great use at understanding the molecular mechanisms that link the environmental exposures and the clinical outcomes of children. Objective: To assess the intra- versus the inter-individual variability of omics signatures (proteome, transcriptome, serum and urine metabolome and miRNA) in the short term in 156 children from five European countries. Materials and methods: The population under study are 156 children from the Child Panel Study that belongs to the HELIX project. Blood and urine samples of the children were collected at two different time-points (»6 months), and urine samples were collected twice a day: first morning void and night-time. Proteins, transcripts, miRNA and serum metabolites were measured on blood samples (transcriptome: HTA V.2.0, Affymetrix; miRNA: SurePrint Human miRNA rel 21, Agilent; plasma proteins and metabolites: Luminex, cytokines 30-plex, apoliprotein 5-plex and adipokine 15-plex). Urine metabolome was measured using 1H NMR spectroscopy. Results: Mean proportion of variance explained by intra-, inter-individual and variability differs among omics although all of them present the highest variability at the intra-individual level (59% for proteomics, 70% for urine metabolome, 50% for serum metabolome, 63% for miRNA and 84% for transcriptome). Also, within omics, there is diversity among different markers, ones being more explained by one level of variance or another. When biological traits and technical effects are included in the model as explanatory variables, little proportion of variance is attributed to each of them, except for seasonality, that generally accounts for a greater percentage of variation. Conclusion: This study is the first to provide a multi-omics scope in omics variability in the short-term in children population. Intra- and inter-individual variability has been estimated for proteome, transcriptome, miRNA and serum and urine metabolome markers and differences on the behaviour between and within omics has been found. Further studies are needed in order to characterize the most meaningful markers in terms of environmental epidemiology and biological significance.