Miracle-dz/UniFAR-FTUs huggingface dataset:
PRIORITIZATION OF STRATEGIES FOR TOURISM DEVELOPMENT BY APPLYING A SWOT-SWARA ANALYSIS: THE CASE OF SOKOBANJA SPA

This manuscript proposes the utilization of the SWOT-SWARA analysis for the prioritization of tourism development strategies. The applicability and simplicity of the proposed analysis is demonstrated by the example of the tourism destination of Sokobanja Spa in the Republic of Serbia. By using the SWOT analysis, three decision-makers defined the key sub-factors and development strategies, after which they performed the prioritization of the SWOT factors, sub-factors and strategies by applying the SWARA method. The final results are indicative of the following order of the proposed development strategies: ST1WT2SO1ST2SO2WO1WO2WT2. Applying the proposed strategies by following the given order will contribute to the improvement and further development of the tourism destination of Sokobanja Spa, which is the main goal of the performed analysis.
On Distributed Reflexive Complex Mechanisms of Decision-making in a Transportation System of a Smart city

We describe distributed reflexive complex mechanisms of decision-making in a SMART city. These complex mechanisms are a cognitive self-organizing decision support system for development governance. These mechanisms utilize local information from all nearby sensors of city sensors on buildings, sensors on other cars, sensors on pedestrians and some additional information. We describe the way to a new level of safety of citizens by additional vision and automated reasoning. It provide transparency in Augmented Reality Devices by virtually eliminating obstacles e.g. buildings. The problem is that development of a city is a process so people still have to make suggestions and now these suggestions are about awareness of other agents. Distributed reflexive complex mechanisms can assist and support their decisions in solving these problems.
Investigation of phosphoinositide 3-kinase dependent signalling in the regulation of embryonic stem cell fate

ES (embryonic stem) cell lines are derived from the epiblast of pre-implantation embryos and like the inner cell mass cells from which they are derived exhibit the remarkable property of pluripotency, namely the ability to differentiate into all cell lineages comprising the adult organism. ES cells and their differentiated progeny offer tremendous potential to regenerative medicine, particularly as cellular therapies for the treatment of a wide variety of chronic disorders, such as Type 1 diabetes, Parkinson’s disease and retinal degeneration. In order for this potential to be realized, a detailed understanding of the molecular mechanisms regulating the fundamental properties of ES cells, i.e. pluripotency, proliferation and differentiation, is required. In the present paper, we review the evidence that PI3K (phosphoinositide 3-kinase)-dependent signalling plays a role in regulation of both ES cell pluripotency and proliferation. ES (embryonic stem) cells ES cell lines exhibit the unique property of pluripotency, i.e. the ability to differentiate into all cell lineages comprising the adult organism [1,2]. Pluripotency is underpinned by ES cell self-renewal, the term given to the symmetrical division of ES cells to generate two identical, undifferentiated daughter cells. In essence, self-renewal is proliferation that is accompanied by the suppression of differentiation. Regulation of ES cell self-renewal is of great interest because the ability to maintain and expand pluripotent ES cells is essential if the therapeutic potential offered by ES cell-derived progeny to regenerative medicine is to be realized. Regulation of murine ES cell pluripotency Pluripotency of mES (murine ES) cells is regulated by a complex network of extrinsic factors, signalling pathways and transcription factors. LIF (leukaemia inhibitory factor) was the first cytokine shown to play a role in maintenance of pluripotency [2], via activation of STAT3 (signal transducer and activator of transcription 3) and induction of c-Myc [3–5]. However, like many cytokines, LIF also activates the ERKs (extracellular-signal-regulated kinases) ERK1 and ERK2, which appear to promote differentiation [6], leading to the suggestion that the balance between STAT3 and ERK signals is important in determining ES cell fate [7]. More recently it has been demonstrated that BMPs (bone morphogenetic proteins) BMP2 and BMP4 collaborate with LIF to facilitate
GAMBARAN PENGGUNAAN DAN TINGKAT KECANDUAN INTERNET PADA SISWA-SISWI SMA X DI JATINANGOR

Pengguna internet terbanyak di Indonesia adalah remaja dengan akses waktu yang berlebih dan mayoritas aksesterhadap games online dan sosial media. Hal ini dapat menyebabkan terjadinya kecanduan. Penelitian ini bertujuanuntuk mengetahui gambaran penggunaan internet dan tingkat kecanduan internet pada remaja. Penelitian ini deskriptifkuantitatif. Populasi pada penelitian ini siswa-siswai kelas X-XI di SMA X di Jatinangor. Sampel pada penelitian inimenggunakan stratified random sampling sebanyak 269 siswa. Data dikumpulkan dengan instrumen yangdikembangkan peneliti berdasarkan teori dari Alice Robbin (2008) dan instrumen Internet Addiction Test (IAT). Datadianalisis dengan analisa deskriptif dan disajikan dalam bentuk presentase. Hasil penelitian sebagian besar respondentergolong heavy users pada weekday (56,5%) dan weekend (68,4%). Hampir seluruh responden mengakses internetyaitu social media (79,9%) dan berkomunikasi (74%) perharinya. Hampir setengah dari responden berada kecanduan ditingkat ringan (43,9%). Simpulan penelitian ini bahwa sebagian besar responden adalah pengguna heavy users denganyang paling sering diakses adalah social media. Tingkat kecanduan pada penelitian ini didominasi pada tingkat ringan.
“Small wave number and less of Reynolds number inflow analysis in peristaltic transportation of “Hyperbolic tangent fluid” in curved channels by employing the influence of radial magnetic force”

Through this article, we studied the peristaltic motion of “Hyperbolic Tangent” fluid in the geometry of curvature channel by using the analysis of large wavelength and less of Reynolds number. The matter has controlled mathematically by the partial differential equations of continuity, motion, heat transfer. In the study, we used the impact of radial magnetic force. The obtained coupled non-linear equations of above equations have solved by an approximation technical. Locked formula solutions of the stream function, axial velocity, heat function has evaluated. The influence of curvature is analysed and took it into account. The impact of sundry variables on the inflow features have plotted and explained by graphs and figures.
Metamaterial loaded aperture coupled biodegradable star‐shaped dielectric resonator antenna for WLAN and broadband applications

The design and development technique for the enhancement of bandwidth and gain using biodegradable star‐shaped dielectric resonator antenna (SDRA) electrified by two cross‐coupled apertures for broadband applications is presented in this article. The SDRA is fabricated using biodegradable PLA, which is a special type of polymer and made from renewable resources instead of nonrenewable petroleum‐based resources using additive manufacturing technique. Broad bandwidth of 37% is achieved by modifying rectangular dielectric resonator antenna with feeding it by two apertures (slots) of unequal length to excite different modes. The combination of the circular‐shaped split‐ring resonator has been used as a metamaterial for gain enhancement, which enhanced the maximum gain of the antenna by ∼5.4 dB (82.7%). The computed average efficiency within the operating band is ∼80.51%. The proposed antenna is circularly polarized at 5.8 GHz. The proposed antenna fulfills the bandwidth requirements for the IEEE 802.11a WLAN standards (5.15‐5.35 and 5.725‐5.825 GHz), and it is also suitable for various other applications such as satellite navigation systems, aeronautical and meteorological radio navigation services in C‐band.
A segmentation procedure of the pervious area of the aorta artery from CT images without contrast medium

In this paper, we develop an algorithm for the segmentation of the pervious lumen of the aorta artery in computed tomography (CT) images without contrast medium, a challenging task due to the closeness gray levels of the different zones to segment. The novel approach of the proposed procedure mainly resides in enhancing the resolution of the image by the application of the algorithm deduced from the mathematical theory of sampling Kantorovich operators. After the application of suitable digital image processing techniques, the pervious zone of the artery can be distinguished from the occluded one. Numerical tests have been performed using 233 CT images, and suitable numerical errors have been computed and introduced ex novo to evaluate the performance of the proposed method. The above procedure is completely automatic in all its parts after the initial region of interest (ROI) selection. The main advantages of this approach relies in the potential possibility of performing diagnosis concerning vascular pathologies even for patients with severe kidney diseases or allergic problems, for which CT images with contrast medium cannot be achieved.
Ultra‐wideband circularly polarized crossed‐dual‐arm bowtie dipole antenna backed by an artificial magnetic conductor

An ultra‐wideband antenna is suggested, simulated, and fabricated for ground penetrating radar (GPR) and landmine detection applications. The reported design has wideband, high gain, and high directivity. The new configuration achieves unidirectional radiation characteristics maintaining circularly polarized (CP) radiation characteristics. The whole configuration is optimized using the particle swarm optimization algorithm to achieve the optimal bandwidth, gain, and axial ratio (AR). The performance of the overall geometrical design is analyzed in terms of bandwidth, gain, directivity, and AR. The proposed antenna offers a gain of 2.66 dB in free space, which is enhanced to 8.86 by using an artificial magnetic conductor. The measured results show that the proposed configuration offers −10 dB return loss bandwidth of 540 MHz over the frequency range (0.8‐1.34 GHz) with ~50.5% operational bandwidth and 3‐dB AR bandwidth of 295 MHz for the frequency range (0.97‐1.265 GHz) with an approximate percentage of 26.4%. Furthermore, the maximum gain over the CP‐operated bandwidth close to 8.86 dB, at frequency 1.05 GHz, is obtained. It is anticipated that this antenna is suitable for GPR applications as well as for employment in landmine detection.
Probing the missing link between the diffuse interstellar bands and the total-to-selective extinction ratio $R_V\,\!-\!$ I. Extinction versus reddening

The carriers of the still (mostly) unidentified diffuse interstellar bands (DIBs) have been a long-standing mystery ever since their first discovery exactly 100 yr ago. In recent years, the ubiquitous detection of a large number of DIBs in a wide range of Galactic and extragalactic environments has led to renewed interest in connecting the occurrence and properties of DIBs to the physical and chemical conditions of the interstellar clouds, with particular attention paid to whether the DIB strength is related to the shape of the interstellar extinction curve. To shed light on the nature and origin of the DIB carriers, we investigate the relation between the DIB strength and RV, the total-to-selective extinction ratio, which characterizes how the extinction varies with wavelength (i.e. the shape of the extinction curve). We find that the DIB strength and RV are not related if we represent the strength of a DIB by its reddening-normalized equivalent width (EW), in contrast to the earlier finding of an anticorrelation in which the DIB strength is measured by the extinction-normalized EW. This raises a fundamental question about the appropriate normalization for the DIB EW. We argue that the hydrogen column density is a more appropriate normalization than extinction and reddening.
Cybersecurity Assessment and Mitigation Stochastic Model

With numerous cybersecurity incidents and vulnerability concerns in an increasingly contested cyber warfighting environment, the Department of Defense (DoD) has mandated cybersecurity assessment and authorization of all major weapon systems (MWS) before their use. In response to this direction, the Air Force Life Cycle Management Center (AFLCMC) created the Platform Information Technology Assessment and Authorization (PIT A&A) Process. Modeled after the NIST Risk Management Framework (RMF), this process applies a risk-based approach to cybersecurity with the goal of identifying risks and mitigating vulnerabilities in MWS. Within this work, a stochastic model of the PIT A&A Process is presented with an emphasis on understanding how the complexity of systems, accuracy of security artifacts, and workforce proficiency impacts the ability to effectively mitigate cybersecurity risks.
Graph/hypergraph partitioning models for simultaneous load balancing on computation and data

GRAPH/HYPERGRAPH PARTITIONING MODELS FOR SIMULTANEOUS LOAD BALANCING ON COMPUTATION AND DATA Mestan Fırat Çeliktuğ M.S. in Computer Engineering Advisor: Cevdet Aykanat December 2018 In the literature, several successful partitioning models and methods have been proposed and used for computational load balancing of irregularly sparse applications on distributed-memory architectures. However, the literature lacks partitioning models and methods that encode both computational and data load balancing of processors. In this thesis, we try to close this gap by proposing graph and hypergraph partitioning models and methods that simultaneously encode computational and data load balancing of processors. The validity of the proposed models and methods are tested on two widely-used irregularly sparse applications: parallel mesh simulations and parallel sparse matrix sparse matrix multiplication.
Smoothing Tidal Effects in Well Test Pressure Data

In petroleum reservoirs, parameters such as permeability, porosity, extension, and skin effects, have a high level of uncertainty. Different techniques attempt to improve the estimation of these parameters to improve production forecasting and cost reduction. The conventional production test, for example, requires the analysis of reservoir well pressure data. However, these data have several noise sources, such as the tidal effect, that may compromise the accuracy of test results. This letter proposes a method to smooth the noise generated by the tidal effect from well pressure data, using mathematical tools, such as the Fourier transform. We apply the discrete sine transform type I (DST-I) to filter the signal, and we use the pressure derivative to verify the results.
The effect of prior exercise on postprandial lipaemia

Coronary heart disease (CHD) remains the primary cause of death in the United Kingdom today and postprandial lipaemia (exaggerated elevation of the plasma triacylglycerol (TAG) concentration after intake of a fat-containing meal) is gaining recognition as an independent CHD risk factor. This thesis provides an overview of the effect that single bouts of exercise can exert on postprandial lipaemia. The conclusions from the experimental chapters within this thesis are that: prior moderate exercise reduces the lipaemia associated with moderate and high fat meals to a very similar extent in percentage terms; a single session of resistance exercise does not lower postprandial TAG concentrations in overweight, sedentary men, regardless of exercise intensity; ad libitum energy intake is not significantly increased on the morning after a brisk walk, with the exercise-induced lowering of lipaemia akin to percentage reductions from studies where fixed size meals were given; and aerobic exercise which lowers postprandial lipaemia, also increases postprandial hepatic portal vein and femoral artery blood flow. The general message from this thesis is that moderate-intensity aerobic exercise should be advocated as a strategy to lower cardiovascular disease risk, based on experimental evidence that postprandial lipaemia is consistently reduced after single bouts of brisk walking.
Comparative Studies of Rib Waveguide Material for Quantum Communication Application

Recently, the needs to achieve a very high traffic capacity and superfast quantum computing led to advancement in optical waveguide technology. The selection of material with a high refractive index and transparent within the telecommunication wavelength range are crucially needed to achieve these. In this paper, the performance of two promising quantum materials, Silicon on Insulator (SOI) and Lithium Niobate on Insulator (LNOI) rib waveguide were studied. The mode analysis was conducted by using a finite element method to observe the confinement electromagnetic wave across rib waveguide. Apart from the variation of a material index, the width and height of core were optimized to achieve single mode propagation at the wavelength of 1550 nm. Based on the simulation work, it is shown that both material structures were able to produce single mode propagation with SOI showing higher confinement compared to the LNOI rib waveguide structure. LNOI structure was able to provide wide range of propagation signal wavelength.
Molecular Spin Crossover Materials: Review of the Lattice Dynamical Properties

The lattice dynamical aspects of the spin crossover phenomenon in molecular solids—displaying intricate couplings between the electronic spin state of the molecules and the lattice properties—are reviewed. Emphasis is on experimental and theoretical approaches giving access to the vibrational spectra and to key properties, such as the heat capacity, vibrational entropy and enthalpy, lattice rigidity, elastic constants, and elastic interactions. Recent results in relation to surface and finite size effects as well as with ultrafast out‐of‐equilibrium phenomena are also covered.
Importance of Technology Acceptance Assessment for Successful Implementation and Development of New Technologies

This editorial article is studying the importance of technology acceptance assessment for successful implementation and development of New Technologies. Theory of Reasoned Action (TRA), Theory of Interpersonal Behaviour (TIB), Social Cognitive Theory (SCT), Theory of Planned Behavior (TPB), Diffusion of Innovation Theory (DIT), Technology Acceptance Model (TAM), Extension of TAM, Motivational Model (MM), Uses and Gratification Theory (UGT), Model of PC Utilization (MPCU), Igbaria’s Model, Unified Theory of Acceptance and Use of Technology (UTAUT), Compatibility UTAUT (C-UTAUT), Perceived Characteristics of Innovating Theory (PCIT) and E-Service Technology Acceptance Model (ESAM).
Changing Academic Practice at a UK Research-intensive University through Supporting the Scholarship of Teaching and Learning (SoTL)

Over the past decade, there have been many changes in Higher Education in the UK. Alongside increased student participation and widening access, the government has called for universities to professionally develop teachers in Higher Education and recognise the role of learning and teaching in the sector. The University of Glasgow has responded to this changing agenda in a number of ways. At the institutional level, the University launched its first comprehensive Learning and Teaching Strategy in 2006. At the same time it also appointed Associate Deans of Learning and Teaching in each Faculty. Another initiative has been the introduction of a ‘teaching’ career track, through the establishment of a new category of academic staff, the University Teacher, with promotion procedures supporting career development up to Professorial level. Rather than engaging in research (one of the main academic roles of the lecturer, associate professor in US terms), University Teachers must engage in scholarship, in addition to their teaching and administration duties. The establishment of a Learning and Teaching Centre responsible for supporting the University in the implementation of its Learning and Teaching Strategy has also consolidated and initiated a number of activities that all aim to enhance the Scholarship of Teaching and Learning at Glasgow. These initiatives have wrought changes at an institutional level and are contributing to changing academic practice. In particular, the term ‘Scholarship of Teaching and Learning’, once unheard of at the institution is increasingly being recognised as a valid form of academic activity and increasing numbers of academic staff are engaging in it. This paper will outline some of these changes and offer reflections on their impact on SoTL and academic practice.
Changes in upper body strength and body composition after 8 weeks indoor climbing in youth

The aim of this study was to investigate whether climbing in children leads to the development of upper limb strength and endurance, and changes in body composition. Fifty young climbers aged 10-17 participated in an 8 week climbing program. Metres climbed were used as a factor to assess the effect of climbing. Two groups were ex post formed with a limit of 320 metres climbed. Boys and girls from the group that climbed more metres significantly increased their performance in bent-arm hang time (boys from 35.1 ± 3.9 s to 48.4 ± 4.4 s; girls from 18.9 ± 3.9 s to 24.4 ± 4.9 s) and grip strength related to body mass (boys from 0.65 ± 0.03 to 0.71 ± 0.03; girls from 0.52 ± 0.03 to 0.57 ± 0.03). Significant changes in the ECM/BCM ratio (extra cellular/body cellular mass) were found in the group that climbed more metres (boys from 0.88 ± 0.10 to 0.85 ± 0.09; girls from 1.00 ± 0.09 to 0.94 ± 0.09). There were no changes found in body fat in either group. The findings suggest that a climbing program with higher volume of metres climbed can influence grip strength, upper body muscular endurance and the amount of relative body cellular mass.
Feature Selection Combined Feature Resolution with Attribute Reduction based on Correlation Matrix of Equivalence Classes

Feature selection is one of the key steps in text classification. To some extent, it can affect the performance of text classification. In this paper, we firstly proposed an optimized document frequency-based word frequency and document frequency and then presented the feature resolution based on the optimized document frequency. Meanwhile, we introduced rough set into feature selection and provided an attribute reduction algorithm based on the correlation matrix of equivalence classes. We finally put forward a feature selection method combining the presented feature resolution with the provided attribute reduction algorithm. The proposed feature selection method firstly employs the presented feature resolution to select some valuable text features and filter out useless terms to reduce the sparsely of text feature spaces, and then it uses the provided attribute reduction algorithm to eliminate redundant features. The comparative experimental results show that the proposed feature selection method has certain advantages in consumed time, macro-average, micro-average, and average classification accuracy.
A Study on Multiple Barcode Detection from an Image in Business System

The pillar of automatic identification is Barcode technology which is used comprehensively in real time applications with various types of codes. The different types of codes and applications sometimes faces special problems, so the improvement of the effectiveness must be done persistently. This paper’s proposal mainly deals with multiple product’s barcode to be detected simultaneously. The proposed algorithm which will have implementation for supershop billing system and inventory management. The method will recognize the barcodes using image processing. Images will be taken using mobile camera sensor. It will detect 1D barcodes such as EAN-13 barcodes, Code-128 barcodes, 2D barcodes such as QR codes. Moreover, it will be angle invariant, requires less user interaction than usual and can be executed on available computers. This model helps consumers to minimize the time for the billing system in shopping. We have implemented this in Python IDE using OpenCV library.