Miracle-dz/UniFAR-FTUs huggingface dataset:
Consumer behavior related to buying wines on the retail market in the City of Niš

The subject matter of the paper is research in consumer behavior in connection with the purchase of wines of both domestic and foreign brands on the market of the City of Niš. The paper is structured so as to perceive the issue from several aspects. In the first place, our wish was to determine whether the respondents are regular wine consumers, and which sorts of wine they consume, and how many of them are not wine regular consumers. An effort was made to determine consumer habits via survey research. The examination method that implied personal examination using a questionnaire was applied. The suitable sample included 230 respondents from the territory of the City of Niš. The research was conducted in November 2019. While processing the data, it was noticed that a larger number of the respondents were regular wine consumers, namely consuming specific brands. The respondents mainly preferred domestic producers' wines. The results obtained can be observed at the level of the strategic marketing of the offering companies. The research study provides an insight in connection with the different aspects of the consumer behavior of those who consume wine, both at the general level and in connection with the choice of brands.
Risk Assessment for Aviation Operations Improvement Projects

No decision maker willingly sets themselves up for failure. However, when introducing new operations or making changes to existing operations, there is little chance of success if targets are set too high without considering the company's capability. An executable model using a capability score integrated with the performance and anticipated value has been proposed to assess the likelihood of success and failure of meeting performance gain targets from improvements for new aviation operations development. The method indicates to companies when and where their capability needs to be adjusted. This alleviates the problem aviation services providers have when they embark on operations improvement initiatives with an organisational setup that limits their chance of success. By matching the performance targets for operations improvement projects to organisational capability score, a higher hit-rate of success to change can be achieved.
Smart and Quick Dk, Df Extraction Flow of Halogen-free and Lead-free Materials under Different Temperatures

Halogen-free and lead-free materials are eco-friendly and the main trend in the long run. Recently, a lot of electronic gadgets including not only mobile phones but relevant accessories have been gradually made of this kind of material in place of traditional formulas to comply with the compliance by European Union. However, there are many drawbacks about halogen-free and lead-free materials such as mechanical reliability and thermal issues which will cause the failure in use. Besides, electrical property is another inevitably critical problem. Not a few of electronic devices are needed to operate under different environmental temperatures stemming from different locations or the heat generated itself. Different ambient temperatures can affect the normality of each material used within the device and further influence the whole function. Therefore, correct and quick extraction of electrical parameters of the material is desirable in the development of high speed application easily influenced by the variat.
Detection of Fake Users in Twitter Using Network Representation and NLP

Social Media Platforms like Facebook, Twitter, Instagram, etc. have large user base all around the world that generates huge amounts of data every second. This includes a lot of posts by fake and spam users, typically used by many organizations around the globe to gain a competitive edge over others. In this work, we aim at detecting such user accounts on Twitter. We show how to distinguish between Genuine and Spam accounts in Twitter using a novel combination of feature engineering, network representation, and natural language processing techniques.
A semisynthetic glycoconjugate provides expanded cross-serotype protection against Streptococcus pneumoniae

Streptococcus pneumoniae infections are the leading cause of child mortality globally. Current vaccines fail to induce a protective immune response towards a conserved part of the pathogen, resulting in new serotypes causing disease. Therefore, new vaccine strategies are urgently needed. Described is a two-pronged approach combining S.pneumoniae proteins, pneumolysin and PspA, with a precisely defined synthetic oligosaccharide, whereby the carrier protein acts as a serotype-independent antigen to provide additional protection. Proof of concept in mice and swine models revealed that the conjugates inhibit colonization of the nasopharynx, decrease the bacterial load and reduce disease severity in the bacteria challenged model. Immunization of piglets provided the first evidence for the immunogenicity and protective potential of synthetic glycoconjugate vaccine in a large animal model. A combination of synthetic oligosaccharides with proteins from the target pathogen opens the path to create broadly cross-protective (“universal“) pneumococcal vaccines.
Feature extraction for person gait recognition applications

In this paper we present some features that may be used in person gait recognition applications. Gait recognition is an interesting way of people identification. During a gait cycle, each person creates unique patterns that can be used for people identification. Also, gait recognition methods ordinarily do not need interaction with a person and that is the main advantage of these methods. Features used in a person gait recognition methods can be obtained with widely available RGB and RGB-D cameras. In this paper we present a two features which are suitable for use in gait recognition applications. Mentioned features are height of a person and step length of a person. They may be extracted and were extracted from depth images obtained from RGB-D camera. For experimental purposes, we used a custom dataset created in outdoor environment using a long-range stereo camera.
Is product proximity a driver for better energy security? Global evidence of nonlinear relationships between product proximity and energy security

ABSTRACT This study examines the non-linear relationship between product proximity, as captured by the Economic Complexity Outlook Index, and various dimensions of energy security: acceptability, develop-ability, and sustainability. By applying diverse econometric techniques to a global sample of 20 developing countries and 30 developed countries over the period 2002–2018, our estimates reveal three critical findings. First, we confirm the existence of a nonlinear association between product proximity and non-fossil energy consumption, energy intensity, and energy consumption in the form of an inverted U-shaped curve, suggesting that efforts to produce a good which is located in the core of the product space (higher product proximity) endanger the energy security of countries positioned in the early phase of the economic complexity evolution. Nevertheless, product proximity turns out to be beneficial for the energy system when it reaches a sufficiently high level. Second, our findings add empirical evidence of the ‘technical obsolescence’ effect where a high level of product proximity causes higher non-fossil or non-renewable energy consumption and, hence, greater carbon dioxide (CO2) emissions in the long run. Third, increased product proximity has serious consequences for energy security in developing economies, while the beneficial impact of product proximity on the energy system from mitigating energy intensity, negating CO2 emissions, and increasing renewable energy consumption is found in their developed counterparts. This research provides a fresh perspective for policymakers to address national energy security based on the types of products being produced.
The hepatokine TSK maintains myofiber integrity and exercise endurance and contributes to muscle regeneration

Mammalian skeletal muscle contains heterogenous myofibers with different contractile and metabolic properties that sustain muscle mass and endurance capacity. The transcriptional regulators that govern these myofiber gene programs have been elucidated. However, the hormonal cues that direct the specification of myofiber types and muscle endurance remain largely unknown. Here, we uncover the secreted factor Tsukushi (TSK) as an extracellular signal that is required for maintaining muscle mass, strength, and endurance capacity and that contributes to muscle regeneration. Mice lacking TSK exhibited reduced grip strength and impaired exercise capacity. Muscle transcriptomic analysis revealed that TSK deficiency results in a remarkably selective impairment in the expression of myofibrillar genes, characteristic of slow-twitch muscle fibers, that is associated with abnormal neuromuscular junction formation. AAV-mediated overexpression of TSK failed to rescue these myofiber defects in adult mice, suggesting that the effects of TSK on myofibers are likely restricted to certain developmental stages. Finally, mice lacking TSK exhibited diminished muscle regeneration following cardiotoxin-induced muscle injury. These findings support a crucial role of TSK as a hormonal cue in the regulation of contractile gene expression, endurance capacity, and muscle regeneration.
Chapter 4 Hazards and the desert ground model

To establish the nature of the ground conditions to facilitate construction, and to ensure that the risk of unexpected conditions (e.g. previously unrecognized hazards) or impacts (e.g. unanticipated changes) can be reduced, it is necessary to develop a preliminary ‘ground model’ of the ground conditions at any proposed construction/development site. Different forms of the ground model have been constructed and the various types been labelled as ‘geotechnical models’, ‘engineering geological models’ or ‘conceptual models of ground conditions’. However, they could all be given the general label ‘geomodels’, and typically these models include a basic geological map and a geomorphological plan. These enable a three-dimensional (3D) representation of the surface and subsurface conditions at the site to be created in which the nature of the ground conditions is established and all potential risks to the project are at least tentatively identified. The bases for the production of geomodels for engineering geology were laid down by Fookes (1997) and Fookes et al. (2000) as part of the ‘Total Geology Approach’ to site investigation (Fookes & Baynes 2008). Modern developments using computer-based models, often developed using a geographical information system (GIS), were described, for example, by Culshaw (2005). Initially, preliminary geomodels are developed from desk studies of available sources, including topographical maps and remote sensing data, and are concentrated on identifying the relevant geomorphological systems and subsystems, along with the main environmental controls on landscape development. These models form the starting point for the process of ensuring that ground conditions are identified, and potential geomorphological and engineering geological problems are recognized, evaluated and managed by an engineering project. This information will underpin the development of the ground conditions component of a ‘risk register’ (Simons et al. 2002) (see Chapter 6). Most geomodels today will be computer based and developed on GIS platforms, …
Design Methodology Based on Dual Control of a Resonant Dual Active Bridge Converter for Electric Vehicle Battery Charging

In this paper, a detailed design methodology of a Resonant Dual Active Bridge (R-DAB) converter is proposed for battery charging applications. The converter design methodology is tailored to the charging profile of a Li-ion battery and is based on unique operating points (UOPs) that derive from a dual control method analysis. Specifically, both Pulse Frequency Modulation (PFM) and Phase-Shift Modulation (PSM) are adopted, to minimize the switching losses and the reactive power at the resonant tank. A detailed flowchart is presented, considering multiple design parameters and the UOPs, so that the resonant tank parameters are not overestimated. Simulation results of a conventional charger are presented, that validate the control method and design procedure. Finally, a 1kW|30A laboratory prototype charger is designed and evaluated, using a closed loop control system. The analysis of the experimental results proves the significance of the dual control method and verifies the proposed design methodology.
Standard test methods for TAN assessment and modifications ThereofΕ

Present market trends require lubricants to function under demanding conditions for extended periods To avoid damage to the equipment or unscheduled maintenance calls, monitoring of in-service lubricants is essential. Measurable consequences of lubricant degradation are, for example, viscosity increase, discoloration, sludge and acid formation The latter is quantitatively assessed by titration and reported as Total Acid Number (TAN in mg KOH/g oil). The TAN is indicative of the degree of oxidation and hydrolysis of the lubricant in use, warning limits dards such as ASTM D 4378. Lubricant acidity levels above these limits trigger end-users to change the oil before damage to the installation can take place. many bench tests to assess the robustness of a finished fluid against aging and acid formation. Commonly employed methods to assess the TAN of oils are described in ASTM D 974 and ASTM D 664. Several bench tests, such as ASTM D 2619 and IP 280, require the measurements of TAN of aqueous phases. In this paper, limitations of these TAN methods are discussed and modifications are proposed. The focus is on repeatability by automation and the use of commercially available, low toxic aqueous calibration fluids, which do not compromise accuracy.
Dynamic learning‐based event‐triggered control of strict‐feedback systems with finite‐time prescribed performance

This paper is concerned with the event‐triggered neural learning control for strict‐feedback nonlinear systems (SFNSs) subject to predefined tracking performance. A system transformation approach is utilized to transform the original SFNSs into the normal form, which makes it easily to verify the convergence of neural weights since only one neural network (NN) approximator is employed. Then, a novel finite‐time performance function is first proposed to characterize the performance constraints of tracking error, thus guaranteeing the prescribed tracking performance. On this basis, a new lemma is given, which is crucial to ensure the stability of the closed‐loop system. By using the error transformation technique, the constrained tracking control problem is converted into the stabilization problem of unconstrained error system. Subsequently, by introducing the first‐order sliding mode differentiator into the backstepping procedure and with the help of the high‐gain observer, a novel adaptive neural tracking control scheme is presented to ensure that the prescribed tracking performance is satisfied and all closed‐loop signals are ultimately bounded. After ensuring the satisfaction of the partial persistent excitation condition for radial basis function NN, the neural weight estimates are verified to converge to the ideal values, and then the convergent weights are stored as the constant values. By utilizing the stored knowledge, an event‐triggered neural learning controller is constructed to accomplish the same or similar control tasks, which can effectively improve the transient control performance, save the communication resource, and relieve the online computation at the same time. Finally, the effectiveness of the presented scheme is testified by numerical and practical examples.
Antimicrobial and anticancer activities of Sesbania grandiflora mediated Cadmium oxide nanoparticles

ABSTRACT Cadmium oxide (CdO) nanoparticles have been biosynthesized via Sesbania grandiflora leaf extract and characterized using different analytical techniques. XRD analysis indicated FCC structure with average crystallite size being 45.77 nm. Morphological analyses involving SEM and HR-TEM confirmed the cubic crystalline nature of the prepared samples. The presence of Cd-O bond was ascertained using FTIR technique while the presence of the elements Cd and O was ensured using SEM-EDS. The synthesized CdO nanoparticles have exhibited good Antibacterial activity against both gram positive and gram negative bacteria. In the case of Antifungal studies, Aspergillus niger showed maimum sensitivity as compared to Aspergillus flavus. The bioinspired CdO nanoparticles have shown better Anticancer activity against MCF-7 and HeLa Human cell lines. Therefore, it is concluded that the Sesbania grandiflora leaf extract mediated CdO nanoparticles may serve as a potential candidate for a wide range of biomedical applications.
The Usability of classroom Technologies in English Language Teaching and Learning (ELT & ELL)

In language teaching and learning, we have a lot to choose from the world of technology: Radio, TV, CD Rom, Computers, C.A. L.L. , the Internet, Electronic Dictionary, Email, Blogs and Audio Cassettes, Power Point, Videos, DVD‟s or VCD‟s. The last two decades have witnessed a revolution due to onset of technology, and has changed the dynamics of various industries, and has also influenced the industries and the way people interact and work in the society. This rapid rising and development of information technology has offered a better pattern to explore the new teaching model. As a result technology plays a very importantrole in English teaching. Using multimedia to create a context to teach English has its unique advantages.Weexamined the effect of teaching and learning with technology on student cognitive and affective outcomes using the available technique. Screening studies obtained from an electric search of databases resulted in 58 studies (2013-2014). Overall, effect sizes were small to moderate across the cognitive and affective outcome measures. Specific teaching/learning components such as context/making sense, challenging activity, instructional conversation, and joint productivity were associated with effect sizes. Instructional features such as objectives, pattern of student computer use, and type of learning task also moderated effect sizes. Suggestions are made for teachers to include these instructional features and teaching strategies in teaching and learningwith classroom technology.
A comparison between inverse dynamics skeletal and muscular models

This investigation has the purpose of developing and cross-validating algorithms and software tools for quantitative ergonomic analyses of workers movements. In particular, the results from a skeletal inverse dynamics model are directly compared with those obtained from a muscular model herein proposed. Both models rely upon experimentally gathered kinematic and electromyography data. The 2D skeletal model is based on a multibody dynamics formulation. The software implementation can perform both kinematic and inverse dynamic analyses. Kinematic input data required by the model have been collected using an optoelectronic human motion capture system. The kinematics of the model has been compared with experimentally collected data. The muscular electromyography (EMG)-assisted model discussed is particularly suitable for biarticular muscles. Joint torques, muscular forces and powers can be also estimated. The inputs required by this model have been collected recording surface electromyographic signals and using some kinematic output from the skeletal model. The results from mathematical models have been compared for cross-validation, and their adequacy for ergonomy analyses assessed.
Fluid Structure Interaction Analysis on a Transient Pitching Hydrofoil

In this paper, the structural behavior of a deformable hydrofoil in forced pitching motion is analyzed through an experimental approach. The experimental study is based on the measurement in a hydrodynamic tunnel of the foil displacement obtained with a video camera. Tip section displacement is compared to the hydrodynamic loading obtained on a rigid hydrofoil using wall pressure measurement. The structural response appears to be strongly linked to hydrodynamic phenomena such as laminar to turbulent transition and leading edge vortex shedding. The influence of pitching velocity is discussed. Finally, the paper presents displacement measurements in cavitating flows.Copyright © 2009 by ASME
Modern field courses and problem-based learning; a comparison between industry and academia

Problem-based learning (PBL) can provide an attractive learning situation in relation to field courses. Combined with information technology, the learning effect can be enhanced compared with more traditional courses that use lecture-based learning and no advanced technological aids. However, the use of information technology in field courses requires the consideration of fundamental pedagogic principles. In May 2003, two separate geological field courses were run at locations in Utah and Colorado, one for students and the other for industry employees. Both students and industry employees participated in a pre-field course before going into the field. In the field the participants worked in groups, solving both general and location-specific problems. Several geosimulators (advanced flight simulators) based on digital terrain models for Utah and Colorado were used both prior to and during the field course. Satellite images, photographs and maps where incorporated into the models in order to provide students and industry employees with a complex technological learning environment. Also, the courses made extensive use of interactive multimedia learning modules that could be accessed both before and after the field course. A specially designed learning management system was used for the administration of the field courses. The highly positive feedback from both students and industry employees documents the effectiveness of the course form and use of information technology in conjunction with field work.
Numerical solutions of 2D Navier-Stokes equations based on generalized harmonic polynomial cell method with non-uniform grid

It is essential for a Navier-Stokes equations solver based on a projection method to be able to solve the resulting Poisson equation accurately and efficiently. In this paper, we present numerical solutions of the 2D Navier-Stokes equations using the fourth-order generalized harmonic polynomial cell (GHPC) method as the Poisson equation solver. Particular focus is on the local and global accuracy of the GHPC method on non-uniform grids. Our study reveals that the GHPC method enables use of more stretched grids than the original HPC method. Compared with a second-order central finite difference method (FDM), global accuracy analysis also demonstrates the advantage of applying the GHPC method on stretched non-uniform grids. An immersed boundary method is used to deal with general geometries involving the fluid-structure-interaction problems. The Taylor-Green vortex and flow around a smooth circular cylinder and square are studied for the purpose of verification and validation. Good agreement with reference results in the literature confirms the accuracy and efficiency of the new 2D Navier-Stokes equation solver based on the present immersed-boundary GHPC method utilizing non-uniform grids. The present Navier-Stokes equations solver uses second-order FDM for the discretization of the diffusion and advection terms, which may be replaced by other higher-order schemes to further improve the accuracy.