Miracle-dz/UniFAR-FTUs huggingface dataset:
A Thermodynamic Study of Tin Oxides by Coulometric Titration

Abstract The nonstoichiometries of tin oxides have been studied by coulometric titration, using solid state electrolytes (YSZ) between 694 K and 990 K. The nonstoichiometry( X ) and the oxygen partial pressure ( P o 2 ) vary as x ∝ P -1/6 o 2 mean 900 k. A phase Sn 3 O 4 between the Sn and SnO 2 in the range of 969-732 k. The Gibbs free energy change of formation of Sn 3 O 4 is given by Δ G o Sn 3 O 4 = -1,163,960 + 417.36 T (J/mol).
Multiscale Numerical Analysis of TRM-Reinforced Masonry under Diagonal Compression Tests

The present paper reports an experimental study coupled with a numerical modelling approach to simulate masonry walls strengthened with textile-reinforced mortar (TRM). This innovative reinforcing technique is based on high-strength fibre grids embedded into inorganic matrices, and it has recently been promoted for the seismic retrofitting of historical masonry buildings. In the experimental campaign presented here, two different commercial TRM systems are applied to single-leaf clay masonry panels. The specimens are then subjected to diagonal compression tests in order to evaluate the effects of TRM on the structural performance. The proposed finite element (FE) model, based on an original multiscale approach, is employed to simulate the diagonal compression tests. The numerical results show a very good agreement with the experimental data, including in terms of failure mode. In particular, the approach reproduces the macroscopic behaviour of the masonry panels as regards the force-displacement response, and it allows for the possibility of simulating bed joint sliding and TRM layer debonding.
Antecedents of Overall E-service Quality and Brand Attachment in the Banking Industry

Purpose – The study aims to examine the impact of website design, e-fulfillment, e-service and e-security on overall e-service quality and its impact on brand attachment. Design/methodology/approach – Data of 425 respondents was collected from the internet banking industry users through an online survey. Further, PLS-SEM was employed to analyze the data. Findings – Results indicate that the impact of e-security, e- customer service, and e-fulfillment on overall e-customer service quality was supported. In contrast, the impact of website design was not supported. Further, overall, e-service quality also has a significant impact on brand attachment. Originality/value – This study suggested and tested a brand attachment framework for the banking industry to support strategy formulation for managers.
Physico-chemical parameters and culturable yeast diversity in surface water: a consequence of pollution

in the North West Province (NWP) of South Africa are polluted by various anthropogenic activities that are associated with agricultural, domestic, industrial, and mining activities. Pollutants and e uent resulting from these activities impact the physico-chemical and biological characteristics of river water. More particularly, domestic and agricultural pollution has been associated with the occurrence of pathogenic yeast species in water. The aim of this study was to determine physico-chemical parameters, yeast levels, and the antifungal susceptibility of pathogenic yeasts in river water. Physico-chemical parameters and yeast levels were determined using standard procedures. Yeasts were identi ed by biochemical tests and26S rRNA gene sequencing. Disc di usion antifungal susceptibility tests were conducted on identi ed potential pathogenic yeasts. Physico-chemical parameters were within target water quality ranges (TWQR) for livestock farming but were mostly out of range for irrigation. Yeast levels (incubation at 37°C) ranged from 363 to 1 778 CFU/L. There were signi cant di erences (p uconazole (78.5%) > econazole, and miconazole and ketoconazole (49.6%) > nystatin (15.2%). The river water systems explored in the study are used for agricultural, domestic and recreational purposes. Direct contact with the water, especially by immune-compromised people, may pose a health threat and should be further investigated. Keywords: water quality surface water physico-chemical parameters pathogenic yeasts antifungal susceptibility
Relationship of Stress Coping Behaviors and Changes in Resilience during an Integrated Nursing Practicum

This study aims to clarify what kinds of resilience and coping strategies students employ to successfully complete their clinical practicum and provide suggestions for instruction that will allow students to carry out effective learning activities. The study subjects were 86 students enrolled at Nursing University A for the 2019 school year and planning to take the integrated nursing practicum. The survey was conducted using an anonymous, self-administered questionnaire. The Wilcoxon signed-rank test was used to determine the amount of change in resilience factors from the surveys before and after the practicum. Subsequently, multiple regression analysis was carried out with stress coping behaviors that were significantly associated with resilience factors in univariate analysis as independent variables and the amount of change in resilience factors before and after the practicum as dependent variables. A total of 56 responses were received (response rate 65.8%) from the 85 survey subjects. Innate resilience factors increased significantly from 41 pre-practicums to 44 post-practicums. Acquired resilience factors also increased significantly from 32 pre-practicums to 35 post-practicums (p −0.456, p < 0.01) were significantly associated with innate resilience factors. Examining the relationship between the amount of change in student resilience and stress coping behaviors revealed that the stress coping behavior of “changing point of view” was associated with innate resilience. This finding suggests that resilience may be increased by changing one’s perspective on an event by taking on a new way of thinking. The results suggested that helping students transform realizations made during reflection into learning and create a sense of meaning may lead to fostering innate resilience during integrated nursing practicums.
Smart Dissemination by Using Natural Language Processing Technology

Background: Recently, WhatsApp has become the world's most popular text and voice messaging application with 1.5 billion users. A lot of WhatsApp Application Programming Interface (API) has also been established to be connected to other applications. On the other hand, the development of natural language processing (NLP) for WhatsApp messages has snowballed. There are extensive studies on the dissemination information using WhatsApp but the study on NLP involving data from WhatsApp is lacking. Objective: This study aims to implement NLP in smart dissemination applications by using WhatsApp API. Methods: We build a framework that embeds an intelligent system based on the NLP in WhatsApp API to disseminate a dynamic message. Some of the sentences are used to evaluate the accuracy of this application. Results: Smart dissemination consists of dynamic filter and dynamic content. Dynamic filter was conducted by using the POS tagger and clause statement. Meanwhile, dynamic content was built by using the replace MySQL function. There are twofold limitation: the application could not transform a message that matches rule with conjunction “dan”; has the same attribute before and after tag; and the maximum of the logical operator is one type for coordinating conjunction (AND/OR) in one sentence. Conclusion: Our framework can be used for dynamic dissemination of messages using dynamic message content and dynamic message recipient with an accuracy of 95% from twenty sample messages.
DESIGN OF MULTI-AGENT MULTI AGGREGATOR (M-MA) FOR THE DISTRIBUTED WIDE AREA NETWORK

A hysteresis multiple agent aggregations (M-MA) based load balancing system is proposed to distribute the Software-Defined Networking (SDN) control plane of Wide Area Network architecture. Agent-based load balancing is based on the Markov chain process. It considers control policy with thresholding and scaling under the eventual distribution of traffic among an overloaded SDN controller (user controller) and lightweight neighboring Controller (server-side). This can be acquired with a more massive discrepancy in resource utilization via dynamically utilizes the Controller's global available capacity. The anticipated M-MA strategy attempts to gain Multi-objective computation appropriate to high availability, scalability, flexibility, agility, resource utilization, energy-saving, and data computation probability without any overhead. This is anticipated via numerical investigations to validate the efficiency of the expected model. This is acquired by steady-state and transient analysis based on suitable performance metrics like transition rate (among server and client), aggregated capacity, throughput computation, and latency computation. This work depicts that the anticipated (M-MA) scheme outperforms prevailing approaches, and resource provision is attained with specific essential requirements.
Example Phrase Adaptation Method for Customized, Example-Based Dialog System Using User Data and Distributed Word Representations

SUMMARY We have developed an adaptation method which allows the customization of example-based dialog systems for individual users by applying “plus” and “minus” operations to the distributed representations obtained using the word2vec method. After retrieving user-related proﬁle information from the Web, named entity extraction is applied to the retrieval results. Words with a high term frequency-inverse document frequency (TF-IDF) score are then adopted as user related words. Next, we calculate the similarity between the distrubuted representations of selected user-related words and nouns in the existing example phrases, using word2vec embedding. We then generate phrases adapted to the user by substituting user-related words for highly similar words in the original example phrases. Word2vec also has a special property which allows the arithmetic operations “plus” and “minus” to be applied to distributed word representations. By applying these operations to words used in the original phrases, we are able to determine which user-related words can be used to replace the original words. The user-related words are then substituted to create customized example phrases. We evaluated the naturalness of the generated phrases and found that the system could generate natural phrases.
A Modeling Attack Resistant Deception Technique for Securing Lightweight-PUF-Based Authentication

Silicon physical unclonable function (PUF) has emerged as a promising spoof-proof solution for low-cost device authentication. Due to practical constraints in preventing phishing through a public network or insecure communication channels, simple PUF-based authentication protocol with unrestricted queries and transparent responses is vulnerable to modeling and replay attacks. In this article, we present a modeling attack resistant PUF-based mutual authentication scheme to mitigate the practical limitations in applications where a resource-rich server authenticates a device with no strong restriction imposed on the type of PUF design or any additional protection on the binary channel used for the authentication. Our scheme uses an active deception protocol to prevent machine learning (ML) attacks on a device with a monolithic integration of a genuine strong PUF (SPUF), a fake PUF, a pseudorandom number generator (PRNG), a register, a binary counter, a comparator, and a simple controller. The hardware encapsulation makes the collection of challenge–response pairs (CRPs) easy for model building during enrollment but prohibitively time consuming upon device deployment through the same interface. A genuine server can perform a mutual authentication with the device using a combined fresh challenge contributed by both the server and the device. The message exchanged in clear cannot be manipulated by the adversary to derive unused authentic CRPs. The adversary will have to either wait for an impractically long time to collect enough real CRPs by directly querying the device or the ML model derived from the collected CRPs will be poisoned. The false PUF multiplexing is fortified against the prediction of waiting time by doubling the time penalty for every unsuccessful guess. Our implementation results on field-programmable gate array (FPGA) device and security analysis have corroborated the low hardware overheads and attack resistance of the proposed deception protocol.
Focal Infection and Periodontitis: A Narrative Report and New Possible Approaches

The “focal infection theory” is a historical concept based on the assumption that some infections may cause chronic and acute diseases in different districts of the body. Its great popularity spanned from 1930 to 1950 when, with the aim to remove all the foci of infection, drastic surgical interventions were performed. Periodontitis, a common oral pathology mainly of bacterial origin, is the most evident example of this phenomenon today: in fact, bacteria are able to migrate, develop and cause health problems such as cardiovascular and respiratory diseases, diabetes, and osteoporosis. The aim of this narrative report is to verify the hypothesis of the association between oral infections and systemic diseases by different ways of approach and, at the same time, to propose new kinds of treatment today made possible by technological progress. The analysis of the literature demonstrated a strong relationship between these conditions, which might be explained on the basis of the recent studies on microbiota movement inside the body. Prevention of the oral infections, as well as of the possible systemic implications, may be successfully performed with the help of new technologies, such as probiotics and laser.
Ultra‐Broadband High‐Efficiency Airy Optical Beams Generated with All‐Silicon Metasurfaces

Conventional approaches for generating Airy beams rely upon bulky and costly systems, which impede the miniaturization of optical systems. Metasurfaces have provided a compact method to generate Airy optical beams, but the current schemes suffer from the issues of narrow bandwidths and/or low transmission efficiencies. Here, a design strategy of constructing broadband and high‐efficiency transmissive Airy optical beam generator by taking advantages of the high birefringence and transmission efficiency of dielectric metasurfaces is proposed. The local amplitude and phase of transmitted light can be simultaneously modulated to satisfy the Airy function by controlling the orientation angles of silicon nano‐pillars, regardless of the incidence wavelength. The resultant Airy beam generator is experimentally verified within an ultra‐wide operation bandwidth from 1.1 to 1.7 µm. The remarkable diffraction‐free, self‐accelerating, and self‐healing properties of Airy beams are also demonstrated. The results may power up viable opportunities for practical devices and applications of metasurface‐based Airy beams.
Monitoring Living Modified Canola Using an Efficient Multiplex PCR Assay in Natural Environments in South Korea

Canola (Brassica napus L.) is cultivated worldwide and utilized as a vegetable oil, biodiesel, and livestock feed. It is also a major living modified (LM) crop alongside corn, soybean, and cotton. Many canola events have been authorized for food, feed, and processing use in South Korea. Concerns about the unintentional release of LM canola into the natural environment have increased environmental monitoring and post-management of living modified organisms (LMOs) is on the rise. The Ministry of Environment (MOE) and the National Institute of Ecology (NIE) conducted an environmental LMO monitoring and post-management project for LM canola from 2014 to 2017. The number of suspicious LM samples gradually increased each year. In this study, a multiplex PCR method was established to detect seven single LM canola events (Topas 19/2, Rf3, Dp-73496-4, Ms8, GT73, Mon88032, and T45) to cover 14 approved LM canola events. This method was utilized to detect 22 LMs out of 260 suspicious canola samples. Thus, this new method is more efficient in terms of time and cost than conventional PCR methods for the identification and monitoring of LMOs.
Modeling the Decomposition of Nitromethane, Induced by Shock Heating

The decomposition of nitromethane was studied over the temperature range 1000−1100 K in reflected shock waves. CH3NO2 and the reaction products were analyzed by gas chromatography. The derived gross rate constant and activation energy for the disappearance of CH3NO2 is consistent with that of Glanzer and Troe. A reaction mechanism consisting of 99 chemical reactions was developed to simulate the experimental data of the present study and that of Hsu and Lin. Good agreement between experiments and simulations was achieved. It appears that significant amounts of CH3NO2 are destroyed through secondary reactions that involved highly reactive free radicals (H, OH, and CH3), suggesting the need for redeterming the true unimolecular decay rate constant for CH3NO2. For improvement of the performance of the model, several other rate constants also need to be determined. The final section is a preliminary report on a spectrophotometric technique for measuring the loss of nitromethane due to pyrolysis by recording i.
InSight: An FPGA-Based Neuromorphic Computing System for Deep Neural Networks

Deep neural networks have demonstrated impressive results in various cognitive tasks such as object detection and image classification. This paper describes a neuromorphic computing system that is designed from the ground up for energy-efficient evaluation of deep neural networks. The computing system consists of a non-conventional compiler, a neuromorphic hardware architecture, and a space-efficient microarchitecture that leverages existing integrated circuit design methodologies. The compiler takes a trained, feedforward network as input, compresses the weights linearly, and generates a time delay neural network reducing the number of connections significantly. The connections and units in the simplified network are mapped to silicon synapses and neurons. We demonstrate an implementation of the neuromorphic computing system based on a field-programmable gate array that performs image classification on the hand-wirtten 0 to 9 digits MNIST dataset with 99.37% accuracy consuming only 93uJ per image. For image classification on the colour images in 10 classes CIFAR-10 dataset, it achieves 83.43% accuracy at more than 11× higher energy-efficiency compared to a recent field-programmable gate array (FPGA)-based accelerator.
Forecasting the server status using the triple exponential smoothing model

This article examines the issue of forecasting the time series of server systems and suggests applying the triple exponential smoothing model to solve this problem. It presents a mathematical formulation of the problem and describes the specifics of forecasting the time series of server systems. After this the article gives a comparative analysis of the autoregressive, neural network and exponential smoothing models in terms of their application to this problem. It argues that the triple exponential smoothing model (Holt-Winters method) offers a number of advantages when modelling the time series of server systems. It then provides experimental research to evaluate the accuracy of the Holt-Winters method with respect to the indicated time series. The research shows that the triple exponential smoothing model exhibits high results and can be applied to the solution of practical problems.
The penetration of ultraviolet radiation to the ground

The evolution of analytic formulas for characterizing the ultraviolet spectral ir-radiance penetrating to the ground is briefly described. Analytic spectral functions for the extraterrestrial solar spectral irradiance, the ozone absorption coefficient, Rayleigh scattering coefficients and aerosol scattering and absorption coefficients, which are used as basic inputs, are given. With Beer's law, these give immediately the direct solar spectral irradiance. A ratio technique described in quantitative detail gives a procedure for calculating the skylight component of the UV radiation reaching the ground. The influence of ground reflectivity, clouds and a possible connection between photobiology and radiological physics are discussed. Finally the advantages of multiwavelength monitoring are described, using monochromators similar to those used in satellite ozone sounding to serve the needs of the photobiology and the atmospheric science communities.
MOSFETs contraints sur SOI : analyse des déformations par diffraction des rayons X et étude des propriétés électriques

L'introduction d'une contrainte mecanique dans le canal de MOSFETs sur SOI est indispensable pour les noeuds technologiques sub-22 nm. Son efficacite depend de la geometrie et des regles de dessin du dispositif. L'impact des etapes du procede de fabrication des transistors (gravure des zones actives, formation de la grille metallique, implantation des Source/Drain (S/D)) sur la contrainte du silicium contraint sur isolant (sSOI) a ete mesure par diffraction des rayons X en incidence rasante (GIXRD). Parallelement, le gain en performances de MOSFETs sur sSOI a ete quantifie par rapport au SOI (100% de gain en mobilite pour des nMOS longs et larges (L=W=10 μm), 35% de gain en courant de drain a saturation (IDsat) pour des nMOS courts et etroits (L=25 nm, W=77 nm)). Des structures contraintes innovantes ont aussi ete etudiees. Un gain en IDsat de 37% (18%) pour des pMOS sur SOI (sSOI) avec des S/D en SiGe est demontre par rapport au sSOI avec des S/D en Si, pour une longueur de grille de 60 nm et des films de 15 nm d'epaisseur. Des mesures GIXRD, couplees a des simulations mecaniques, ont permis d'etudier et d'optimiser des structures originales avec transfert de contrainte d'une couche enterree precontrainte (en SiGe ou en nitrure) vers le canal.