Miracle-dz/UniFAR-FTUs huggingface dataset:
Discovering gastronomic tourists’ profiles through artificial neural networks: analysis, opinions and attitudes

ABSTRACT As the importance given by tourists to the different aspects of gastronomic tourism depends on their profiles, this research aims to determine the relationship between the social characteristics of these culinary tourists (such as gender, age, income, and educational level) and the relevance attributed by them to several opinions and attitudes related to gastronomic tourism. This research is based on field work through surveys filled in by culinary tourists with questions about perceptions and thoughts regarding gastronomic tourism both in general and in the particular case of Córdoba, a World Heritage Site in Southern Spain. Using artificial intelligence techniques as the Multilayer Perceptron, an artificial neural network is developed to estimate a ‘tourist profile’ based on inputs which are the pre-determined replies to the questionnaire. This technique is rarely used in surveys, especially in tourism sector. The model developed can assess the variations produced along the item valuation in every characteristic of the tourist profile. Thus, an increase in age implies more appreciation for dishes variety, its tasting at destination and willingness to return. Findings presented can be useful for professionals and entrepreneurs dedicated to culinary experiences and for public institutions which aim to promote gastronomic tourism at destination.
Measurement and deconvolution of detector response time for short HPM pulses: Part 1, Microwave diodes

A technique is described for measuring and deconvolving response times of microwave diode detection systems in order to generate corrected input signals typical of an infinite detection rate. The method has been applied to cases of 2.86 GHz ultra-short HPM pulse detection where pulse rise time is comparable to that of the detector; whereas, the duration of a few nanoseconds is significantly longer. Results are specified in terms of the enhancement of equivalent deconvolved input voltages for given observed voltages. The convolution integral imposes the constraint of linear detector response to input power levels. This is physically equivalent to the conservation of integrated pulse energy in the deconvolution process. The applicable dynamic range of a microwave diode is therefore limited to a smaller signal region as determined by its calibration.
Analysis of Road Risk by Age and Gender Category

A road safety analysis for different age and gender categories of road users is introduced. In contrast to many previous studies, the time series of road crashes by age and gender category is considered. The objective is to analyze Belgian data on the yearly number of fatalities for age and gender groups by using a decomposition of the number of fatalities in terms of exposure and risk in a time series perspective. For each category, a state space time series model is developed for the risk, which is defined in this study as the number of fatalities per capita. It was found that road risk is changing over age groups according to a U-shaped curve and that men generally have a higher risk than women. Further, the risk is decreasing over time but not at the same rate for all age and gender groups. The highest yearly reduction in risk is found for the oldest and youngest road users. The models also are useful to assess the attainability of formulated road safety targets, which makes them useful policy instruments. Especially for young men, the reduction in road risk is not in line with Belgian and Flemish policy expectations.
Investigation of visually induced motion sickness: A comparison of mitigation techniques in real and virtual environments

Motion sickness affects almost all users of virtual reality, and can be a limiting factor in the use of virtual reality environments in applications for training, therapy and entertainment. However, some actions can be taken to reduce the severity of the motion sickness, known as mitigation techniques. One of the mitigation techniques examined in this thesis is an active hand-eye coordination task. The other is passive recovery, by way of removing one’s self from the sickening stimuli and allowing time to pass, referred to as natural decay. Both tasks were used in physical reality and virtual reality settings, in order to rank the efficacy of each. The hypothesis was that a virtual mitigation task can be as effective as a physical mitigation task. Forty people participated in a within-subjects experimental design over two visits. Responses on the Simulator Sickness Questionnaire served as the measure for their motion sickness symptom severity. The research found significant differences between the physical and virtual handeye tasks, but no significant difference between the physical and virtual natural decay tasks. Further investigation of the differences in the physical and virtual hand-eye tasks is necessary to explain the significant differences; more analysis is required to conclude that natural decay while in a virtual environment is as effective as natural decay in the physical world.
Development of a large static VAr generator using self-commutated inverters for improving power system stability

A static VAr generator (SVG) using self-commutated inverters of 80 MVA capacity was developed and successfully applied to an annual 154 KV power system to stabilize the power system. The SVG consists of 48 pulse multiple inverters whereby gate turn-off (GTO) thyristors are applied. After installing it at a power system site, a field test was conducted to confirm the system stabilizing effect. The test results displayed the expected performance, and the SVG was proven to be effective power system stabilizer. The outline of the 80 MVA SVG, technical features, and the test results are described. >
Fabrication of Al2O3/TiO2 reflective type anti-blue light multi-layers with atomic layer deposition

The aim of this work is the formation of anti-blue light coatings which are suitable for application on 3C products. Atomic layer deposition was used to deposit Al2O3 and TiO2 single layer films onto glass substrates at 250 °C. Optical characterization of the films was conducted to evaluate whether the thickness was suitable for the fabrication of multipair reflective coatings. The refractive indices of the films measured at an optical wavelength of 450 nm were 1.68 (67 nm, Al2O3) and 2.67 (42 nm, TiO2). Al2O3/TiO2 multilayer DBRs with 1.5, 3.5, 5.5 and 7.5 pairs were deposited on glass substrates. The thickness of each layer of Al2O3 and TiO2 films were 63.7 and 49.6 nm in the multilayer structure measured via FE-TEM. When 1.5-pair Al2O3/TiO2 DBRs were deposited on the glass substrate, the films had high transparency, and less reflective effect were observed. As 3.5, 5.5 and 7.5-pair DBRs were deposited on the glass substrates, the Bragg reflection effect became apparent. We found 7.5-pair Al2O3/TiO2 DBRs prepared by ALD had the best central and bandwidth of the Bragg reflection effect for blue light.
Event-Based Entreprenuership: Atlanta Centennial Olympics Case Study Lessons Learned and its Impact on Special Event Business Planning

Abstract This paper presents a number of case study lessons learned by successful and unsuccessful small businesses during the 1996 Summer Olympic games in Atlanta, Georgia; and constructs a descriptive model from which implications and recommendations are drawn for small businesses interested in the likely impact of large scale special events such as the forthcoming 2000 Summer Olympic games in Sydney, Australia. There were two major reasons for undertaking Olympic businesses case studies. The first was to develop a theoretical framework of factors critical to businesses specifically catering for the significant increase in perceived demand for goods and services that arise when staging a large scale special event. The second’ major purpose was to apply the lessons learned from the descriptive model in constructing a normative model for businesses gearing up for a future Olympiad, or a similar large-scale special event. Businesses expecting to make a quick fortune out of the Sydney Olympics are likely to be disappointed; the experiences of entrepreneurs in Atlanta indicate that it will not be an easy task. The study found that the businesses most likely to be successful are those that are already established with surplus funds to deploy into new ventures in which they can afford to take a risk.
Accurate detection algorithm of battery full-capacity under fast-charge

The expanding number of battery portable products has widely increase the use of sealed NiCd/NiMH batteries. Battery fast-charge (in less than one hour) is very useful but, in fast-charge, cell pressure and temperature increase quickly during overcharging (after the battery reaches full-charge). Usual fast-charge end methods do not avoid the overcharge or they require complex calculation processes. In this paper, a new fast-charge end method is proposed. This method is based on a simple and easily implemented algorithm and it allows us to know accurately and reliably the moment when the battery reaches full-capacity. In this way, a safe fast-charge without negative effects on the effective capacity of the battery and on battery cycle-life is guaranteed.
General and Fast Inter-Process Communication via Bypassing Privileged Software

IPC (Inter-Process Communication) is a widely used operating system (OS) technique that allows one process to invoke the services of other processes. The IPC participants may share the same OS (internal IPC) or use a separate OS (external IPC). Even though a long line of researches has optimized the performance of IPC, it is still a major factor of the run-time overhead of IPC-intensive applications. Furthermore, there is no one-size-fits-all solution for both internal and external IPC. This paper presents SkyBridge, a general communication technique designed and optimized for both types of IPC. SkyBridge requires no involvement of the privileged software (the kernel or the hypervisor) and enables a process to directly switch to the virtual address space of the target process, regardless of whether they are running on the same OS or not. We have implemented SkyBridge on two microkernels (seL4 and Google Zircon) as well as an open-source serverless hypervisor (Firecracker). The evaluation results show that SkyBridge improves the latency of internal IPC and external IPC by up to 19.6x and 1265.7x, respectively.
Anxiety and stress over COVID‐19 pandemic associated with increased eating

Stressful experiences can dramatically affect eating. The relatively sudden, global emergence of the COVID‐19 pandemic served as a massive stressor to virtually all people, regardless of infection status. This study hypothesized that actual and perceived stressors from the onset of the COVID‐19 pandemic, in the categories of recurring disruptions, environmental threat, and social isolation would be positively associated with increased self‐reported eating in the United States.
A Review of Population-Based Metaheuristics for Large-Scale Black-Box Global Optimization—Part II

This article is the second part of a two-part survey series on large-scale global optimization. The first part covered two major algorithmic approaches to large-scale optimization, namely, decomposition methods and hybridization methods, such as memetic algorithms and local search. In this part, we focus on sampling and variation operators, approximation and surrogate modeling, initialization methods, and parallelization. We also cover a range of problem areas in relation to large-scale global optimization, such as multiobjective optimization, constraint handling, overlapping components, the component imbalance issue and benchmarks, and applications. The article also includes a discussion on pitfalls and challenges of the current research and identifies several potential areas of future research.
Alternative Mowing Regimes’ Influence on Native Plants and Deer

This study evaluated mowing regimes, changes in native and non-native plant communities, deer presence in the research plots,and public perception of various management practices on ROWs. No significant difference was found in the height of vegetation 3 weeks after each mowing between research plots mowed 4 times per year and plots mowed only once per year in uplands or lowlands. Native plants increased in plots mowed once per year and deer preferred the frequently mowed plots where clovers and vetches had been seeded. Increasing the carrying capacity of the lowlands with more extensive plantings of clover and vetch may attract deer, thus encouraging them to browse and use the underpasses beneath bridges and making the ROWs safer. The public survey found strong support for wildflowers on ROWs and a distaste for litter. Further, respondents would tolerate a less manicured ROW if it saved money, made the roads safer, and hid litter.
Representation model of requests to Web resources, based on a vector space model and attributes of requests for HTTP protocol

Abstract— Recently, the number of incidents related to Web applications, due to the increase in the number of users of mobile devices, the development of the Internet of things, the expansion of many services and, as a consequence, the expansion of possible computer attacks. Malicious programs can be used to collect information about users, personal data and gaining access to Web resources or blocking them. The purpose of the study is to enhance the detection accuracy of computer attacks on Web applications. In the work, a model for presenting requests to Web resources, based on a vector space model and attributes of requests via the HTTP protocol is proposed. Previously carried out research allowed us to obtain an estimate of the detection accuracy as well as 96% for Web applications for the dataset KDD 99, vector-based query representation and a classifier based on model decision treesTóm tắt – Trong những năm gần đây, số lượng sự cố liên quan đến các ứng dụng Web có xu hướng tăng lên do sự gia tăng số lượng người dùng thiết bị di động, sự phát triển của Internet cũng như sự mở rộng của nhiều dịch vụ của nó. Do đó càng làm tăng khả năng bị tấn công vào thiết bị di động của người dùng cũng như hệ thống máy tính. Mã độc thường được sử dụng để thu thập thông tin về người dùng, dữ liệu cá nhân nhạy cảm, truy cập vào tài nguyên Web hoặc phá hoại các tài nguyên này. Mục đích của nghiên cứu nhằm tăng cường độ chính xác phát hiện các cuộc tấn công máy tính vào các ứng dụng Web. Bài báo trình bày một mô hình biểu diễn các yêu cầu Web, dựa trên mô hình không gian vectơ và các thuộc tính của các yêu cầu đó sử dụng giao thức HTTP. So sánh với các nghiên cứu được thực hiện trước đây cho phép chúng tôi ước tính độ chính xác phát hiện xấp xỉ 96% cho các ứng dụng Web khi sử dụng bộ dữ liệu KDD 99 trong đào tạo cũng như phát hiện tấn công đi kèm với việc biểu diễn truy vấn dựa trên không gian vectơ và phân loại dựa trên mô hình cây quyết định
Characterizing Organelles in Live Stem Cells Using Label-Free Optical Diffraction Tomography

Label-free optical diffraction tomography (ODT), an imaging technology that does not require fluorescent labeling or other pre-processing, can overcome the limitations of conventional cell imaging technologies, such as fluorescence and electron microscopy. In this study, we used ODT to characterize the cellular organelles of three different stem cells—namely, human liver derived stem cell, human umbilical cord matrix derived mesenchymal stem cell, and human induced pluripotent stem cell—based on their refractive index and volume of organelles. The physical property of each stem cell was compared with that of fibroblast. Based on our findings, the characteristic physical properties of specific stem cells can be quantitatively distinguished based on their refractive index and volume of cellular organelles. Altogether, the method employed herein could aid in the distinction of living stem cells from normal cells without the use of fluorescence or specific biomarkers.
Emotion regulation during the COVID-19 pandemic: risk and resilience factors for parental burnout (IIPB)

ABSTRACT The COVID-19 pandemic has impacted families’ lives around the world. The measures used to contain transmission have led to increased stress and put parents at increased risk for parental burnout (PB). The aim of the current study was to examine the association between COVID-related parental stress and PB, and to test whether emotion regulation (ER) moderated this association. We hypothesised that rumination, which is a generally maladaptive ER strategy, would act as a risk factor. In comparison, we hypothesised that reappraisal, which is a generally adaptive ER strategy, would act as a resilience factor. We assessed 8225 parents from 22 countries using an on-line survey, and focused on general stress and parenting stress. These stressors were associated with greater PB. Importantly, parental ER moderated these associations; rumination strengthened the link between stress-related variables and PB, whereas reappraisal weakened it. This study emphasises the negative effect COVID-19 has on parents and highlights key ER risk and resilience factors.
Information-based algorithm for moving object detection

An algorithm for moving object detection using the information entropy is proposed and analysed. The proposed algorithm is applied on Doppler radar signal and it represents an alternative approach to Doppler radar signal analysis using the Fourier transform. The algorithm is tested using data obtained in real measurements by ground surveillance Doppler radar. The numerical results are compared with those obtained by the method using the Fourier transform. It is shown that the ground clutter due to windblown vegetation, which is the main challenge for radar to detect moving object, does not affect the information entropy. The impact of two main parameters of the algorithm on information entropy is analysed. The authors discuss on choice of the detector structure, threshold setting and decision rule. The computational complexity of the proposed algorithm is calculated and compared with the complexity of the method using Fourier transform. It is shown that the computational complexity of the proposed algorithm is one order of magnitude lower than the computational complexity of the method using Fourier transform.
A methodology to enhance equipment performance using the OEE measure

In recent years, a remarkable improvement has taken place in the maintenance management of physical assets and productive systems to reduce the wastage of energy and resources. The Overall Equipment Effectiveness (OEE) methodology is a proven approach to increase the overall performance of equipment. Focused improvement and autonomous maintenance are two important activities to enhance equipment performance. These activities aim to educate the participants in the concepts and philosophy of equipment maintenance and give them an opportunity to develop their knowledge and skills. The OEE of the machine needs to be higher for sustained capacity planning. In the present paper, a method is proposed to evaluate OEE by including a factor known as usability and a relation is developed to evaluate the earning capacity of six big losses with incremental improvement in OEE as an extension to the maturity of OEE. Furthermore, a framework is proposed for implementing the OEE methodology to enhance overall equipment performance. [Submitted 30 April 2007; Revised 12 October 2007; Accepted 17 December 2007]
Electrically reconfigurable terahertz digital metasurface based on vanadium dioxide phase transition

The combination of phase change materials and metasurfaces has enabled myriads of versatile platforms for dynamic wave control, especially for various applications in integrated photonics and optoelectronics. In this paper, an electrically reconfigurable metasurface is demonstrated to work as a terahertz (THz) broadband digital switch by integration of vanadium dioxide (VO2). In such integrated optoelectronic frameworks, active and bistable digital control of optical responses is enabled by applying electrical stimuli to vertically cascaded metasurfaces with broadband behaviors for Joule heating that causes phase change and state switching. Before and after phase change, a high contrast ratio of transmittance is demonstrated within a broad THz range up to 400 GHz. Essentially, fast switching can be guaranteed compared with current devices based on thin film phase change materials, due to the local electrical heating that proves inherently efficient and faster to trigger the phase transition process. As a result, such active optoelectronic framework based on phase change materials may pave a new way for emerging integrated devices such as photoelectric switch, photonic memory, signal processing and so on
A fake defect phenomenon in defect detection of thermographic NDT: a three-dimensional numerical analysis

As we all know, the temperature distributions reflected in the thermal images are the basis for detecting the information of subsurface defect in thermographic NDT. In the actual work of thermographic nondestructive inspection of the inner surface geometry of a plate-shaped structure, the cave defect in the inner heated surface usually results in a temperature rise of the outer inspection surface. However, on some specific conditions, an extension on the inner surface will also result in the same temperature rise of the inspection surface. Because the extension has no negative effect on the reliability of the plate or this extension is an originally designed functional structure, we may call this extension of the inner surface “fake defect”. In this paper, we will take a three-dimensional plate with a cylindrical extension as an example to discuss how this fake-defect phenomenon forms and when this phenomenon appears. This study is of meaning to both the inspection and quantitative identification of the inner-surface defect based on infrared thermographic temperature measurements of the outer plate surface.
How secure is the Advanced Encryption Standard with random ShiftRows against Fault Analysis

Abstract— With the approve of the cryptographic algorithm Rijndael as the AES (Advanced Encryption Standard) and a collection of works exists with the purpose that one or several of its internal functions depend on the selected key. In this work we will study a fault analysis model against the algorithm AES, and then we will analyze for dynamic (in the key-dependency sense) cryptographic algorithms based on AES, in the which ones the internal function ShiftRows is randomly selected in every round, how strong is this attack. Tóm tắt— Với việc thuật toán mã hóa Rijndael được chấp nhận là Tiêu chuẩn mã hóa nâng cao (Advanced Encryption Standard - AES), và một loạt các công trình nghiên cứu về một hoặc một số chức năng bên trong của thuật toán phụ thuộc vào khóa đã được công bố. Bài báo này trình bày về nghiên cứu mô hình phân tích lỗi dựa trên thuật toán AES và phân tích các thuật toán mã hóa động (theo nghĩa phụ thuộc khóa) dựa trên AES. Trong đó, các hàm nội bộ ShiftRows được chọn ngẫu nhiên trong mỗi vòng, để đánh giá mức độ nguy hiểm của cuộc tấn công.