Miracle-dz/UniFAR-FTUs huggingface dataset:
Authentication method to secure cloud data centres using biometric technology

Biometric technology is an automated process used for the identification of authorized people by personal traits such as the face, palm print, fingerprint, iris pattern, etc., which is a rapidly growing technology for authentication and authorization in the recent development of data storage. This technology provides higher security in efficient way for all types of business. In this method, users use their body parts or physical characteristics as a tool for authentication. This can be used for cloud data authentication as cloud data centers are under continuous threat from malicious attacks. Furthermore, cloud data centers store huge amounts of data, which is crucial for every organization and individual, therefore they are to be preserved and protected from intruders. Biometric authentication is one of the most reliable and efficient means of protection for the cloud data center. In this research, we have studied the input, processing of data, and output in a securely and effectively. The data input, process, and output are studied from recent 30 renowned journals and evaluated them for the understanding of the proposed system. From these journal articles, the best solution is analyzed and evaluated. This research attempts to identify an optimum method of biometric authentication for the cloud data center. In this study we have searched the best, recent top-ranked journals. These articles are analyzed, classified, and evaluated, and proposed the best solution.
Cellulose Nanocomposites for Performance Enhancement of Ordinary Portland Cement-Based Materials

Cellulose nanofibril (CNF) with a high aspect ratio, elastic modulus, tensile strength, and reactive surface area is a promising nanomaterial for improving the chemo-mechanical properties of cementitious matrixes. CNFs are typically less than 0.2 mm in length and 50 nm in width, and are extracted from plants and trees. This study investigated the potential application of three types of CNF for enhancing the performance of ordinary Portland cement (OPC) pastes: pure CNF (PCNF), silica coated CNF (SCNF), and lignin-containing CNF (LCNF). The performance of the cement pastes was monitored for cement paste workability, hydration kinetics, microstructural development, and mechanical performance (compressive strength and flexural strength). The dispersion stability of CNFs measured through zeta potential showed a better dispersion for SCNF when compared with PCNF and LCNF in varied alkaline mediums. The better stability of SCNF also resulted in improved workability of the cement paste mixtures containing this type of cellulose. All of the cellulose nanomaterials accelerated the cement hydration at the early stage as a result of the nucleation effect. Such an acceleration effect was slightly higher for SCNF because of the presence of silica nanoparticles. The addition of 0.1% SCNF increased the compressive strength (90 days) by 13% when compared with the control batch and 10% compared with the PCNF batch. The addition of 0.1% of PCNF enhanced the flexural strength by 70% followed by LCNF with 40% improvement. SCNF showed little to no effect on the flexural strength.
Improving photoprotection in adults with xeroderma pigmentosum: personalisation and tailoring in the ‘XPAND’ intervention

ABSTRACT Background Individualised behaviour change interventions can result in greater effects than one-size-fits-all approaches. Factors linked to success include dynamic (vs. static) tailoring, and tailoring on behaviour, multiple theoretical variables, and participant characteristics. XP is a very rare (∼100 UK patients) genetic disease, involving an inability to repair ultraviolet radiation (UVR)-induced damage, resulting in skin cancers and eye damage from an early age, and mean life expectancy of 32-years. Management involves rigorous UVR photoprotection, which is often inadequate, and no interventions have been published. UK-based care is personalised and delivered by a multidisciplinary team at the National XP Service in London. Following an intensive, mixed-methods formative phase with patients diagnosed with XP (n-of-1, qualitative interviews, objective UVR measurement, cross-sectional survey) and relevant stakeholder consultation (clinical and patient/public teams), the ‘XPAND’ intervention was developed. This paper describes the comprehensive and novel tailoring and personalisation processes used to deliver the intervention. Methods XPAND consists of core and personalised modules targeting cue-based (time of day, weather, symptoms), belief-based (motivation, priority), self-regulatory (effort, barriers, planning), and emotional (stress, self-consciousness, mental exhaustion) factors, social support, disclosure, habit, and willingness, using appropriately-matched BCTs. A-priori, phase I data and a baseline profiling questionnaire (data sources) were used to allocate modules to participants (‘personalisation’) and to adapt module content (‘tailoring’). Iterative decisions about delivery were based on patient response to feedback, identification of additional barriers (e.g. reasons for varying protection across contexts), and emergence of new barriers as improvements in protection were attempted or achieved (e.g. appearance concerns). Conclusions Dynamic multi-level personalisation and tailoring based on mixed-methods in XPAND allowed for insights and decision-making not possible with cross-sectional quantitative or qualitative methods alone. Data collection and allocation/adaptation methods may be of use in other rare conditions where small patient numbers mean that within-participant, individual-level delivery is well-suited and feasible.
Ground Deformation of Wuhan, China, Revealed by Multi-Temporal InSAR Analysis

Wuhan, the largest city in central China, has experienced rapid urban development leading to land subsidence as well as environmental concerns in recent years. Although a few studies have analyzed the land subsidence of Wuhan based on ALOS-1, Envisat, and Sentinel-1 datasets, the research on long-term land subsidence is still lacking. In this study, we employed multi-temporal InSAR to investigate and reveal the spatiotemporal evolution of land subsidence over Wuhan with ALOS-1, Envisat, and Sentinel-1 images from 2007–2010, 2008–2010, 2015–2019, respectively. The results detected by InSAR were cross-validated by two independent SAR datasets, and leveling observations were applied to the calibration of InSAR-derived measurements. The correlation coefficient between the leveling and InSAR has reached 0.89. The study detected six main land subsidence zones during the monitoring period, with the maximum land subsidence velocity of −46 mm/a during the 2015–2019 analysis. Both the magnitude and the extent of the land subsidence have reduced since 2017. The causes of land subsidence are discussed in terms of urban construction, Yangtze river water level changes, and subsurface water level changes. Our results provide insight for understanding the causes of land subsidence in Wuhan and serve as reference for city management for reducing the land subsidence in Wuhan and mitigating the potential hazards.
Freiberg’s Avascular Necrosis: A Case Report

Background: Freiberg’s disease is an uncommon condition typified by bony infarction of the second metatarsal head with a vague multifactorial etiology which tends to mostly occur in women. Case Report: A 22-year-old woman presented with second metatarsal head local pain exacerbating while walking without any prominent previous trauma history; clinical and imaging workups revealed metatarsal head osteonecrosis of Freiberg’s infarction. Conclusion: It should be kept in mind that for those complaining of forefoot discomfort, especially in the region of metatarsal heads, Freiberg’s avascular necrosis (AVN) could be a potential pathology.
Kinetics Study on Thermal Decomposition of Polyepoxyphenylsilsesquioxane/Epoxy Resin Systems

The thermal decomposition kinetics of epoxy resin (EP) containing polyepoxyphenylsilsesquioxane (PEPSQ) was studied by thermogravimetric analysis (TGA) in a nitrogen atmosphere. Kissinger and Flynn–Wall–Ozawa methods were both used to analyze the thermal decomposition process under nonisothermal conditions. The results showed that a slight increase of activation energy was observed in the presence of PEPSQ, which indicated that the addition of PEPSQ retarded the thermal decomposition of EP. The Flynn–Wall–Ozawa method further revealed that PEPSQ significantly increased the activation energy of the whole EP thermal decomposition, especially in the final stage of the thermal decomposition process, which is attributed to the PEPSQ stabilizing the char layer and improving the flame retardancy of EP.
AN EXAMINATION OF THE CSÍKSOMLYÓ SHRINE BASED ON THE TOURIST LIFE CYCLE CURVE

The Csíksomlyó Pilgrimage is a tradition that also has a history hundreds of years long, and one of the examples stressing the importance of religious tourism known by many even today. The goal of this study is to research the story, touristic importance and ever-changing role of the Csíksomlyó Pilgrimage, mainly from the perspective of the Csíksomlyó Pilgrimage being a touristic product, what phase of its life cycle it is currently, what way it’s developing right now, and what future it’s heading towards. According to the examination on the tourist life cycle curve, the farewell to Csíksomlyó is currently in the phase of development and consolidation. All stakeholders agree that it is necessary to develop the tourism infrastructure for renewal.
INITIAL STAGES OF GROWTH OF BaMgF4 ON (111)-SILICON

ABSTRACT We have grown BaMgF4 films on (111)-oriented Si substrates with existing native oxide layers using molecular beam epitaxy. The early stages of growth were studied through the application of x-ray photoelectron spectroscopy measurements on interrupted growth runs without exposing films to atmosphere. Exposure of the Si substrates to the BaMgF4 vapor at a substrate temperature of 950°C resulted in the formation of silicate species and a reduction of the SiO2 species on the substrate. Subsequent growth onto this silicate buffer layer resulted in highly textured (020)-oriented BaMgF4 films, as evidenced by x-ray diffraction studies.
A Maxwell's Equations Based Deep Learning Method for Time Domain Electromagnetic Simulations

In this paper, we discuss an unsupervised deep learning (DL) method for solving time domain electromagnetic simulations. Compared to the conventional approach, our method encodes initial conditions, boundary conditions as well as Maxwell's equations as the constraints when training the network, turning an electromagnetic simulation problem into an optimization process. High prediction accuracy of the electromagnetic fields, without discretization or interpolation in space or in time, can be achieved with limited number of layers and neurons in each layer of the neural network. We study several numerical examples to demonstrate the effectiveness of this method for simulating time-domain electromagnetic fields. First, the accuracy of this method is validated by comparing with the analytical solution of a 1D cavity model filled with homogeneous media. Then, we combine the continuity condition to modify the loss function for handling medium discontinuities. Further, the computational efficiency of finite-difference and DL methods in conductive and nonlinear media is compared. Finally, we prove the effectiveness of this method in high-dimensional and multi-scale simulations.
Facial Expression Recognition: A Survey and its Applications

Automatic facial expression recognition is an important component for efficient human-computer interaction system, and over the past decades, it has become a highly active research area. Numerous algorithms have been proposed in the literature to cope with the problem of face expression recognition (FER). General speaking, current existing FER methods can be categorized into two main groups, i.e., traditional machine learning-based approaches and deep learning-based approaches. Different from other surveys, in this study, we aim to not only comprehensively highlight the differences and similarities of the two approaches above, but also the new trend of hybrid and ensemble learning in FER systems by providing a general framework for each type and review the possible technologies that can be employed in its components. We conduct more specific and detailed competitive performances and experimental comparisons of researches from 2014 to 2020 on widely used datasets. We then extend our survey to our current application scenarios in Vietnam.
Modelling and optimization of critical parameters by hybrid RSM-GA for the separation of BSA using a tubular configured MFI-type zeolite microfiltration membrane

This paper deals with the fabrication of a MFI-type zeolite membrane via an in situ hydrothermal synthesis technique on a low cost porous tubular ceramic substrate. To formulate the zeolite layer on the porous substrate, the hydrothermal solution was prepared using silicate solutions. The MFI zeolite (as synthesized and calcined) was characterized by X-ray diffraction (XRD), thermogravimetry (TG) and Fourier transform infrared spectroscopy (FTIR) analysis. The fabricated ceramic substrate as well as the zeolite membrane was characterized by field emission scanning electron microscopy (FESEM), porosity and water permeability measurements. The porosity, mean pore size and water permeability of the zeolite membrane were evaluated to be 51%, 0.272 μm and 4.43 × 10−7 m3 m−2 s−1 kPa−1, respectively. The separation efficiency of the membrane in terms of permeate flux and rejection was studied with BSA as a model protein. Three operating parameters, BSA concentration (100–500 ppm), pH (2–4) and applied pressure (68.94–275.79 kPa), were optimized for the better separation efficiency of the membrane using response surface methodology (RSM) followed by a bi-objective genetic algorithm (GA). The non-linear models predicted by RSM were further optimized by a GA. The appropriate optimum conditions were obtained as a BSA concentration of 100 ppm, solution pH of 2 and applied pressure of 275.79 kPa. These predicted conditions were experimentally validated and a higher permeate flux and rejection of BSA were obtained as 4.63 × 10−5 m s−1 and 81.98%, respectively. Further, the separation efficiency of prepared membrane was compared with other membranes used for BSA separation stated in the literature.
Detrital zircon U–Pb geochronology from the Upper Carboniferous sediments of Benxi Formation in the North China Craton: implications for tectonic-sedimentary evolution

The provenance of the Upper Carboniferous Benxi Formation in North China Craton (NCC) has been considered as the northern margin of the NCC, not the North Qinling Orogenic Belt. To understand the provenance and the tectonic-sedimentary evolution during the sedimentary period of the Benxi Formation, the zircon U–Pb geochronology analysis was conducted on eleven clastic sandstone samples. The south of the NCC received clastic sediments from the North Qinling Orogenic Belt. The orogenic movements around the NCC in the Late Carboniferous period had significant impacts on the changes in paleotopography. During the early sedimentary period of the Hutian member of the Benxi Formation, the north of the Qinling Orogenic Belt was rapidly uplifted, and paleotopography was south-uplifting and north-dipping; thus, the clastic source was the North Qinling Orogenic Belt. From the late sedimentary period of the Benxi Formation Hutian member to the sedimentary period of the Jinci member, paleotopography was reversed. The northern margin of the NCC quickly uplifted, and paleotopography was north-uplifting and south-dipping. Two distinct provenances were present in the sediments of the Benxi Formation. The sediments were supplied predominately by the provenance in the north.
Kinetics over a wide range of temperature (13–744 K): Rate constants for the reactions of CH(ν=0) with H2 and D2 and for the removal of CH(ν=1) by H2 and D2

Rate constants were determined for the reactions of CH(X2Π,ν=0) with H2 and D2 and for the relaxation of CH(X2Π,ν=1) by H2 and D2. The method, employing pulsed laser photolysis to generate CH radicals and laser-induced fluorescence to observe their rate of removal, was implemented between 744 and 86 K in heated and cryogenically cooled cells and from 295 to 13 K in a Cinetique de Reaction en Ecoulement Supersonique Uniforme (CRESU) apparatus. The rate constants for the reaction of CH(ν=0) with D2 were determined from 13 to 584 K and those for the removal of CH(ν=1) by H2 and D2 from 23 to 584 K. These rate constants show no dependence on total pressure and a mild negative temperature dependence, and they are clearly related closely to the rate of capture to form a strongly bound CH3* or CHD2* energized collision complex. The rate constants for the reaction of CH(ν=0) with H2 were measured from 53 to 744 K. By contrast, their values depend in a complex fashion on temperature and total pressure, the latter .
Application of Acoustic Emission and Thermal Imaging to Test Oil Power Transformers

In this paper, the research methodology and the results of the analysis carried out using the acoustic emission (AE) and thermal imaging for a selected oil power transformer are presented. The basis for the research, by means of the AE method, was the author’s patented research method. The AE descriptor maps on the side walls of the tested transformer along with the location of areas with increased AE activity and an analysis of the properties of AE signals recorded at the measurement points located in these areas have been performed. The results showed no partial discharges that could threaten further operation of the tested transformer as well as three areas where increased magnetoacoustic emission occurred. Thermal imaging studies were carried out in the 7.5 μm < λ < 13 μm band. Three areas were located on the calculated thermograms: the entire upper surface of the transformer tank and two areas on the side walls of the tested transformer in which increased IR radiation occurred. The results of the analysis of the research results for the two methods correspond with each other, having a common part, and complement each other giving a broader description of studied phenomena.
Analytical methods and quality assurance

Abstract Hedley et al. (1982) developed what has become the most widely used (and modified), phosphorus (P) fractionation technique. It consists of sequential extraction of increasingly less phytoavailable P pools. Extracts are centrifuged at up to 25000 g (RCF) and filtered to 0.45 μm to ensure that soil is not lost between extractions. In attempting to transfer this method to laboratories with limited facilities, it was considered that access to high‐speed centrifuges, and the cost of frequent filtration may prevent adoption of this P fractionation technique. The modified method presented here was developed to simplify methodology, reduce cost, and therefore increase accessibility of P fractionation technology. It provides quantitative recovery of soil between extractions, using low speed centrifugation without filtration. This is achieved by increasing the ionic strength of dilute extracts, through the addition of NaCl, to flocculate clay particles. Addition of NaCl does not change the amount of P extracted. Flocculation with low speed centrifugation produced extracts comparable with those having undergone filtration (0.025 μm). A malachite green colorimetric method was adopted for inorganic P determination, as this simple manual method provides high sensitivity with negligible interference from other anions. This approach can also be used for total P following digestion, alternatively non‐discriminatory methods, such as inductively coupled plasma atomic emission spectroscopy, may be employed.
Synthesis, in silico Study and Antileishmanial Evaluation of New Selenides Derived from 7-Chloro-quinoline and N-Phenylacetamides

Departamento de Química, Universidade Federal da Paraíba, 58051-900 João Pessoa-PB, Brazil Centro de Educação e Saúde, Universidade Federal de Campina Grande, 58175-000 Cuité-PB, Brazil Departamento de Biologia Molecular e Celular, Universidade Federal da Paraíba, 58051-900 João Pessoa-PB, Brazil Programa de Pós-Graduação em Produtos Naturais e Sintéticos Bioativos, Universidade Federal da Paraíba, 58051-900 João Pessoa-PB, Brazil
The effects of land price in the peri-urban fringe of Mexico City: Environmental amenities for informal land parcel purchasers

In many developing countries, urban growth is characterised by the emergence of informal housing at the periphery. Nevertheless, there is little evidence based on data from informal land markets and, in general, studies focusing on such markets often neglect environmental factors. Therefore, to contribute to these research gaps, this article aims to enhance our understanding of land markets in informal land parcels and their relationship to environmental amenities, by providing empirical evidence from Mexico City. The article estimates a hedonic pricing model using robust ordinary least squares with a SHAC (Spatial Heteroskedasticity and Autocorrelation Consistent) inference, including structural, environmental, neighbourhood and accessibility features. Results provide empirical insights regarding the way this land market behaves in the peri-urban area. Our findings reveal that informal land parcel purchasers are willing to pay for basic services such as access to piped water, proximity to schools and accessibility features such as being close to city centre, motorways and underground stations. Although a positive relationship between land price and distance to the nearest forest or Protected Natural Area is highlighted, it is low, meaning that individuals are largely ambivalent about environmental amenities. Therefore, the problem of irregular settlements could be approached from two different angles. Firstly, informal land buyers will not desist from invading and modifying natural areas without a comprehensive urban and environmental policy, oriented towards changing the perception of green areas as potential urbanisation opportunities. Secondly, public policy needs to solve the housing supply crisis, considering the characteristics presented here.
Modern Seed Technology: Seed Coating Delivery Systems for Enhancing Seed and Crop Performance

The objective of modern seed-coating technology is to uniformly apply a wide range of active components (ingredients) onto crop seeds at desired dosages so as to facilitate sowing and enhance crop performance. There are three major types of seed treating/coating equipment: dry powder applicator, rotary pan, and pelleting pan with the provisions to apply dry powders, liquids, or a combination of both. Additional terms for coatings produced from these types of equipment include dry coating, seed dressing, film coating, encrustments, and seed pelleting. The seed weight increases for these different coating methods ranges from <0.05% to >5000% (>100,000-fold range). Modern coating technology provides a delivery system for many other materials including biostimulants, nutrients, and plant protectants. This review summarizes seed coating technologies and their potential benefits to enhance seed performance, improve crop establishment, and provide early season pest management for sustainable agricultural systems.