Miracle-dz/UniFAR-FTUs huggingface dataset:
Scalable Explorations

Authoring environments should strive for effortless navigation, traversing the space-scale virtual space in order to comprehend relationships between distinct elements, provide landmark or reference objects to keep the user’s orientation and perceptual cues that will enhance direction and depth perception. This paper will explore how the dynamic nature of 3-D virtual environments can provide new generations with powerful tools to explore disparate spatial scales, expand the modeling information and give them the ability to manipulate conceptually critical information that is governed by various scale parameters.
MAGNETIC MOMENT OF PERMANENT MAGNET MEASUREMENT WITH NONLINEAR LEAST SQUARES FITTING METHOD

In the paper, a procedure for magnetic moment measurement, utilizing single sensitive magnetometer and linear table is described. The object under test, for example a permanent magnet, is positioned with its main axis along the sensitive axis of the magnetometer’s moving probe, and the magnetic field strength is recorded, as well as the probe precise position. The results of measurement are then processed in the Matlab software, and the non-linear least squares curve fitting is done using the Levenberg– Marquardt algorithm. The fitting is performed for the magnetic dipole magnetic field strength versus distance model . Thus it is possible to measure both the object’s magnetic moment and distance from the magnetometer.
Modeling Tweets Responding to Rapid Events

Rapid events refer to remarkable events which people would have high probability to mention immediately on Twitter when they occur or when they are going to occur, for instance, an astonishing goal in a soccer game. Different from normal ones, responses to these rapid events last only for a very short time period. Modeling tweets responding to rapid events introduces two challenges not encountered in previous work: background tweets which do not reflect any events and overlap situations, sometimes it is a mixture of series of events. In this paper, we discuss a numerical model which can explain tweet volume responding to a series of rapid events. We predefine three typical responses to different situations: 1) posting a huge number of related tweets right after the event, 2) tweeting during an on-going event, 3) making comments in advance of foreseeable results. Our target is to estimate strength of each event from a mixture of consecutive responses adaptively. Keyword User reaction,Tweet,Modeling
A Locust Phase Change Model with Multiple Switching States and Random Perturbation

Insects such as locusts and some moths can transform from a solitarious phase when they remain in loose populations and a gregarious phase, when they may swarm. Therefore, the key to effective management of outbreaks of species such as the desert locust Schistocercagregaria is early detection of when they are in the threshold state between the two phases, followed by timely control of their hopper stages before they fledge because the control of flying adult swarms is costly and often ineffective. Definitions of gregarization thresholds should assist preventive control measures and avoid treatment of areas that might not lead to gregarization. In order to better understand the effects of the threshold density which represents the gregarization threshold on the outbreak of a locust population, we developed a model of a discrete switching system. The proposed model allows us to address: (1) How frequently switching occurs from solitarious to gregarious phases and vice versa; (2) When do stable switching transients occur, the existence of which indicate that solutions with larger amplitudes can switch to a stable attractor with a value less than the switching threshold density? ; and (3) How does random perturbation influence the switching pattern? Our results show that both subsystems have refuge equilibrium points, outbreak equilibrium points and bistable equilibria. Further, the outbreak equilibrium points and bistable equilibria can coexist for a wide range of parameters and can switch from one to another. This type of switching is sensitive to the intrinsic growth rate and the initial values of the locust population, and may result in locust population outbreaks and phase switching once a small perturbation occurs. Moreover, the simulation results indicate that the switching transient patterns become identical after some generations, suggesting that the evolving process of the perturbation system is not related to the initial value after some fixed number of generations for the same stochastic processes. However, the switching frequency and outbreak patterns can be significantly affected by the intensity of noise and the intrinsic growth rate of the locust population.
THE CORESTA COLLABORATIVE STUDY ON BACTERIAL WILT ( RALSTONIA SOLANACEARUM ) – 2001 REPORT

Results from the CORESTA collaborative study to collect information on bacterial wilt (Ralstonia solanacearum) resistance for the 1999/00 season in the southern hemisphere and the 2000 season in the northern hemisphere are presented for eight participants from six countries, with emphasis on the consistency of results. The cultivar set comprised ten prescribed entries and up to two optional entries. It had a range of flue-cured, burley, air-cured and oriental cultivars from several countries. It included cultivars with all known sources of resistance; the polygenic resistance ex T.I. 448A, the monogenic Rps resistance, the monogenic Rxa resistance and the combination of the polygenic and Rps resistance. Disease pressure was very high in China, high in the USA, moderate in Brazil and low in Zimbabwe and South Africa; some of these results were not consistent with previous years. No disease symptoms were recorded in Bulgaria. Oxford 207 and Enshu FC were consistently the most resistant cultivars over all sites; at some sites they were better than the resistant control. Xanthi was consistently the least resistant cultivar, except for the USA NCSU site, where it seems to behave anomalously. The burley KB 101 does not appear to have much resistance; it was no different from the susceptible control at many of the sites. In most cases, the F1 was closer to the mid-parent value than to either parent, indicating additive resistance. These results are consistent with previous years. Results were generally consistent across sites. Most anomalies could be explained in terms of disease pressure (Zimbabwe, China) or other diseases (South Africa). However, there was no obvious explanation for the anomalies at the NCSU site.
AAS 12-622 AN ITERATIVE PROPER ORTHOGONAL DECOMPOSITION ( IPOD ) TECHNIQUE WITH APPLICATION TO THE FILTERING OF PARTIAL DIFFERENTIAL EQUATIONS

In this paper, we consider the filtering of systems governed by partial differential equations (PDE). We adopt a reduced order model (ROM) based strategy to solve the problem. We propose an iterative version of the snapshot proper orthogonal decomposition (POD) technique, termed I-POD, to sequentially construct a single ROM for PDEs that is capable of capturing their behavior over the entire state space of the system, and not just around the snapshot trajectory. Further, the technique is entirely data based, and is applicable to forced as well as unforced systems. The I-POD is compared to two other ROM techniques: the Balanced POD ( BPOD) and the dynamic mode decomposition (DMD). We apply the ROM generated using the I-POD technique to construct reduced order Kalman filters to solve the filtering problem. The methodology is tested on several 1-dimensional PDEs of interest including the heat equation, the wave equation and 2-dimensional pollutant transport equation.
Shape Optimization in Wear Contact Problems

The problem of optimization of contact interaction of a moving rigid punch and elastic half-space is investigated taking into account friction and wear. The punch shape is accepted as a desirable design variable and the wear volume rate under constraints on the friction dissipation power and the total load applied to the punch is taken as an optimized quality criterion. The ratio of the wear volume rate and the friction dissipation power under constraint on the total load is also considered as an effectiveness criterion. A necessary condition of the optimality of quasi-steady state of wear process is derived and discussed. The optimization problem is investigated analytically and exact solutions are obtained for the axisymmetric punch which has a circular contact region and moves translationally with a constant velocity or performs rotations with constant angular velocity.
Dye Removal from Waste Water by Adsorption onto Boiler Fly Ash

The treatment of wastewater is essential not only to achieve an environment devoid of pollution but also to meet up with the water needs of the community. Dyes have been in use mainly in the textile industry for dyeing fabrics. This introduces dyes and dye products into the effluent water, which must be removed for water re-use and recycling and also for environmental pollution control. The use of waste boiler fly ash derived from a palm oil mill for the adsorptive removal of methyl orange and Congo red was studied in this paper. As time increased, the amount of dye removed increased to a maximum at 20 minutes for methyl orange (249.9 mg/L) and 60 minutes for Congo red (249.999 mg/L) and later decreased to 249.83 mg/L at 60 minutes for methyl orange and 249.99 mg/L at 120 minutes for Congo red. Therefore, Congo red was adsorbed more than methyl orange. The sorption process was modeled using Langmuir and Freundlich isotherm models. The Freundlich isotherm gave a better fit than the Langmuir isotherm although both did not give an excellent correlation. The experiment was also modeled using pseudo-first and pseudo-second order equations. The pseudo-second order gave a better fit with an R value of 1.00 for both dyes. The rate constant K2 was found to be 1.6 g mg min. This means that waste boiler fly ash could be used as an excellent adsorbent for removal of Congo red and methyl orange from waste water. _____________________________________________________________________________________________________________
Proximity-coupled microstrip patch antenna miniaturization using new fractal geometry

For more antenna miniaturization, we present a novel fractal geometry that allows a decrease in the resonance frequency without occupying more space, while retaining a radiation pattern similar to that of a normal square patch. Also, to improve the inherently narrow bandwidth of the patch fractal antenna, a proximity-coupled feed is implemented. The performance is demonstrated by simulation based on a numerical analysis with the finite element method (FEM) and a practical application to personal communication services (PCS).
PM locating for cogging torque reduction in a single-phase surface-mounted PM motor

Surface-mounted permanent magnet (PM) is a well-known structure in PM machines. Low armature reaction and capability of standing high power load can be achieved by choosing the slotted surface PMs in machines. This structure has uniform air gap. Existing slots leads to a cogging toque which can be alleviated using different methods. Most design-based methods are: skewing PMs slots, changing PM arc length, changing radial depth of pole shoe, and using small slots in each pole. It is shown that PMs skewing by an half pole pitch is a proper technique in redcing the cogging torque. However, this technique needs structural changes which can decrease or vary the amplitude of the main torque. Most cogging torque alleviation techniques reduce the back emf, and therefore the starting torque. So, key point in the motor design is minimizing the cogging torque and maximizing the output torque of the motor.
DL-LA: Deep Learning Leakage Assessment: A modern roadmap for SCA evaluations

In recent years, deep learning has become an attractive ingredient to side-channel analysis (SCA) due to its potential to improve the success probability or enhance the performance of certain frequently executed tasks. One task that is commonly assisted by machine learning techniques is the profiling of a device’s leakage behavior in order to carry out a template attack. At CHES 2019, deep learning has also been applied to non-profiled scenarios for the first time, extending its reach within SCA beyond template attacks. The proposed method, called DDLA, has some tempting advantages over traditional SCA due to merits inherited from (convolutional) neural networks. Most notably, it greatly reduces the need for pre-processing steps< when the SCA traces are misaligned or when the leakage is of a multivariate nature. However, similar to traditional attack scenarios the success of this approach highly depends on the correct choice of a leakage model and the intermediate value to target. In this work we explore, for the first time in literature, whether deep learning can similarly be used as an instrument to advance another crucial (non-profiled) discipline of SCA which is inherently independent of leakage models and targeted intermediates, namely leakage assessment. In fact, given the simple classification-based nature of common leakage assessment techniques, in particular distinguishing two groups fixed-vs-random or fixed-vs-fixed, it comes as a surprise that machine learning has not been brought into this context, yet. Our contribution is the development of the first full leakage assessment methodology based on deep learning. It gives the evaluator the freedom to not worry about location, alignment and statistical order of the leakages and easily covers multivariate and horizontal patterns as well. We test our approach against a number of case studies based on FPGA, ASIC and μC implementations of the PRESENT block cipher, equipped with state-of-the-art SCA countermeasures. Our results clearly show that the proposed methodology and network structures are robust across all case studies and outperform the classical detection approaches (t-test and X2-test) in all considered scenarios.
RESOURCE-ADAPTIVE 3 D MAPS FOR LOCATION BASED SERVICES

In this paper, we present a database driven approach for managing and visualizing 3D urban city models and related multimedia content. Such a 3D database is a core component of a 3D Cadastre system (Coors 2002a). In the TellMaris project (IST 200028249, www.tellmaris.com), we will make use of the 3D database to generate 3D maps. The objective of TellMaris is the development of a generic 3D-map interface to tourist information on mobile computers. The interface provides a new concept for creating value added information services on mobile computers for the European citizens related to geographical information. The interface is in the project used for accessing tourist information relevant for boat tourism in the Baltic Sea and Aegean Sea area in the Mediterranean. In this paper we focus on the online generation and compression of 3D-maps in order to make use of these maps in a mobile enviroment.
Flower Pollen Extract and its Effect on Lipids Further Studies on Cernitins : Screening of the Hypolipidemic Activity in Rats

Two hundred and sixteen male Wistar rats between 150 and 200 g on standard laboratory diet were divided into eighteen equal groups [Table 1]. Group 1 included control animals. The remaining rats received a high-fat diet [HFD] and simultaneously were given two Cernitin substances – T60 and GBX [AB Cernelle, Sweden] orally [through a stomach tube] and intraperitoneally, separately or in combination.
Architecture of Interfirm Collaboration and Global Competitive Advantage : Findings from the Mobile Handset Industry

This paper explores the heterogeneity of interfirm relations and its influence on the domestic and global performance. By magnifying the magnitude of relational ties between a supplier and a buyer, the study identifies multiple types of interfirm architecture (integral, quasiintegral, modular, quasi-modular) and the mechanisms of the connection between the domestic and global competitive advantage. The findings show that, in the tightly coupled collaborative architecture, securing a certain degree of autonomy is helpful for the suppliers to influence the buyers’ technological and product trajectories of the domestic market to be synchronized with the global trend and thereby increasing chances to create and capture more value both in and out of the home country. And the loosely coupled architecture facilitates the firms to experiment to find a strategy to better fit both in the domestic and foreign markets. By simultaneously considering the existing two major parameters (structure and tie strength) of the interfirm relations and developing a combined framework of the collaborative architecture, this study advances our understanding on under what conditions firms are more likely to better perform within and beyond the domestic boundary.
Precise Uncertainty: Notes on Historical Modeling

The objective of this work is to examine the current practice in historic buildings and sites modeling, in order to suggest some possible guidelines for future implementations in the field. These implementations are meant to improve the use of digital modeling as a scientific tool for historical research and heritage presentation, focusing first on information management and then discussing representation techniques for rendering levels of accuracy, departing from the experience in LAURD/PROURB to some future research possibilities.
A Java speech implementation of the Mini Mental Status Exam

The Folstein Mini Mental Status Exam (MMSE) is a simple, widely used, verbally administered test to assess cognitive function. The Java Speech Application Programming Interface (JSAPI) is a new, cross-platform interface for both speech recognition and speech synthesis in the Java environment. To evaluate the suitability of the JSAPI for interactive, patient interview applications, a JSAPI implementation of the MMSE was developed. The MMSE contains questions that vary in structure in order to assess different cognitive functions. This question variability provided an excellent test-bed to evaluate the strengths and weaknesses of JSAPI. The application is based on Java platform 2 and a JSAPI interface to the IBM ViaVoice recognition engine. Design and implementations issues are discussed. Preliminary usability studies demonstrate that an automated MMSE maybe a useful screening tool for cognitive disorders and changes.
Exploring service desk employees' motivation and rewarding

Many service desk managers are struggling with the high turnover of service desk employees. Keeping the service desk job interesting and maintaining motivation is considered as a difficult task. In this study, we aim at exploring factors that affect the motivation and demotivation among IT service provider organizations' service desk employees. We shall explore how service desk staff see the concepts of motivation, demotivation and rewarding. Additionally, our goal is to identify how service desk contributes to a positive customer experience. Our unit of analysis is a Finnish service desk organization that uses IT service management best practice framework IT Infrastructure Library (ITIL) in service provision. The research problem of this study is: How service desk employees' motivation and rewarding can be improved. The main contribution of this paper is to present results of a study that focused on bridging the motivation and rewarding mechanisms together as a compliment handling and rewarding procedure. 25 service desk employees were interviewed during a case study.
Toxicity of thiolated silica nanoparticles modified with sulfobetaine methacrylate for potential use in chemotherapy drug conjugation

Article history: Received on: 09/05/2017 Accepted on: 22/06/2017 Available online: 30/07/2017 Nanoparticles (NPs) are promising substrates for the delivery of chemotherapy drugs to solid tumours. However, after injection these foreign bodies are often eliminated by the reticulo endothelial system (RES) within seconds or minutes. Previous studies overcome this issue by coating nano-drug carriers with a surfactant which extended the circulatory half-life of NPs and prevented opsonization. In the current study, thiolated silica nanoparticles (SiO2) were synthesized using the Stöber method then coated with low fouling zwitterionc sulfobetaine methacrylate (SBMA) using thiol-ene addition. Scanning electron micrographs (SEM) revealed monodispersed spherical particles with dynamic light scattering (DLS) showing a small increase in nanoparticle average diameter after modification with SBMA. Toxicity of the SiO2-SBMA nanoparticles (concentrations between 0.05-2.00mg/mL) was investigated using 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT), lactate dehydrogenase (LDH) and crystal violet assays on human colon carcinoma (Caco-2) and human skin keratinocytes (HaCaT) cell lines for 4, 24 and 48 h. The particles were also exposed to ultraviolet light (UV) to determine any possible degradation with zeta potential measurements revealing strongly anionic particles after 1 h UV light exposure. The SiO2-SBMA nanoparticles did not decrease the mitochondrial activity of Caco-2 or HaCaT cell lines using MTT assays; however, the LDH leakage increased and relative cell number decreased at 2.00 mg/mL and was clearly observed after the particles were exposed to UV light. These results indicate that concentrations ≤1.50 mg/mL of SiO2-SBMA low toxicity are biocompatible and show potential as a chemotherapy drug conjugate.
Zur Ökonomik von Spitzenleistungen im internationalen Sport

Sport - in particular high-performance sport - is a fascination that is used as a platform for societal concerns. This is the base for different interests in active and passive sports and the state's interest in top-class sport. In most countries, top-class sport is a national concern: states train their athletes in national training centres, support their sports associations in international competitions or promote applications for major sporting events. The articles in this volume provide a well-founded insight into the organisation of high-performance sport and show the different paths of selected countries.
A Severe Episode of Hemolytic Anemia After Amoxicillin Exposure in A G6PD Deficient Patient

Glucose-6-phosphate dehydrogenase (G6PD) deficiency is the most common enzyme deficiency worldwide, with genetic variants resulting in a range of phenotypes that vary from asymptomatic to severe hemolysis. We report a case of severe hemolytic anemia in a G6PD deficient patient whose only known exposure was amoxicillin two weeks prior to his episode of severe hemolysis, for which he presented to our hospital. An extensive infectious and hematologic workup resulted negative with the exception of a positive G6PD deficiency result. Although rare, we suggest that the patient’s severe hemolytic anemia is possibly related to amoxicillin exposure.
Topology Optimisation Influence on Architectural Design Process - Enhancing Form Finding Routine by tOpos Toolset utilisation

The paper focuses on possibilities of already known engineering procedures such as Finite Element Method or Topology Optimisation for effective implementation in architectural design process. The existing attempts of complex engineering algorithms implementation, as a form finding approach will be discussed. By intersecting architectural form evaluation with engineering analysis complemented by optimisation algorithms, the new quality of contemporary architecture design process may appears.