Miracle-dz/UniFAR-FTUs huggingface dataset:
Comparative Evaluation of Discrete-Time Dynamic Models of T CSC

This paper presents a comparative evalua- tion of linearized discrete-time models of TCSC. The mod- els considered are modular, use six samples per cycle and are sample-invariant. Two different techniques to interface TCSC model with the rest of the system are compared: one in which the discrete TCSC model is interfaced with the dis- cretized model of the rest of the system, and the other in which the TCSC is converted into an equivalent continuous time model and interfaced with the continuous model of the rest of the system. The result of eigen-analysis using these models is compared with detailed digital simulation. Case studies involving open and closed loop control of TCSC and SSR are presented. The discrete-time model with linear vari- ation of interface variables is found to give good accuracy un- der all tested situations, whereas maintaining interface vari- ables constant in a sampling interval can give incorrect in- formation of the stability of super-synchronous network or TCSC modes.
Branding through visitors: how cultural differences affect brand co-creation in independent hotels in Iran

Purpose In most countries, independent hotels are a major contributor to both national economy and the hospitality sector, but to the best of the authors’ knowledge, there is a lack of any study on brand co-creation (BCC) in independent hotels. This study aims to examine the interrelationship of moral judgement (MJ), self–brand connection, customer–brand engagement (CBE), electronic word-of-mouth (eWOM) and how BCC occurs in independent hotels and contrasts visitors’ perspectives between two different Global Leadership and Organizational Behavior Effectiveness clusters in independent hotels. Furthermore, this study also examines the moderating impact of privacy concern (PC) on the relationship between eWOM and brand co-creation. Design/methodology/approach Data were collected from two groups of tourists, Iranian (290) and European (224), who visited and stayed in independent hotels in some major cities in Iran. The structural equation modelling using AMOS 22 was adopted to test the hypotheses. Findings The study’s findings revealed that there are significant differences between two culturally different travellers in terms of selected variables, suggesting that MJ is a main antecedent of CBE, which leads to eWOM among Iranian travellers, which consequently leads to BCC. Moreover, the study’s data indicates that European travellers show a high level of PCs while staying in independent hotels in Iran, which prevents them from sharing and getting engaged in the social media, which could delay the BCC process especially in international level. Originality/value This study contributes to literature by providing new insights on the differences in the concept of brand co-creation between two culturally different groups in the context of independent hotels, which require special attention of independent hotel managers.
Relationship of prior knowledge and working engineers’ learning preferences: implications for designing effective instruction

ABSTRACT Continuing engineering education (CEE) is important to ensure engineers maintain proficiency over the life of their careers. However, relatively few studies have examined designing effective training for working engineers. Research has indicated that both learner instructional preferences and prior knowledge can impact the learning process, but it has not established if these factors are interrelated. The study reported here considered relationships of prior knowledge and three aspects of learning preferences of working engineers at a manufacturing company: learning strategy choices, verbal-visual cognitive styles, and multimedia preferences. Prior knowledge was not found to be significantly related to engineers’ learning preferences, indicating independence of effects of these variables on learning. The study also examined relationships of this finding to the Multimedia Cone of Abstraction and implications for its use as an instructional design tool for CEE.
The relationship between mental health and smartphone over dependence among multicultural adolescents and general adolescents

Purpose: Multicultural adolescents are increasing every year in Korea, and multicultural adolescents have many difficulties compared to general adolescents because their parents have different cultural backgrounds. In particular, adolescents are highly dependent on smartphones, which negatively affects their mental health. This study was to identify the correlation between stress awareness, depression experience, generalized anxiety disorder, and smartphone overdependence of multicultural adolescents and general adolescents. Method: Data from the 16th online survey of youth health behavior (2020) was used to analyze 39,987 adolescents. The data were analyzed using complex sample analysis by using SPSS/Win 22.0 Results: There was no significant difference in stress awareness, depression, generalized anxiety disorder, and smartphone overdependence between multicultural and general adolescents. Multicultural adolescents showed significantly higher control failure of smartphone overdependence. The use time of smartphones on weekdays and weekends was significantly higher in multicultural youth. In both multicultural and general adolescents, smartphone overdependence was higher in the middle-level academic achievement and the higher the stress awareness and generalized anxiety disorder, the higher the possibility of smartphone overdependence. The smartphone overdependence of general youth was significantly related to gender, age, school level, residence type, and depression. Conclusion: To prevent adolescents€™ overdependence on smartphones, it needs to differentiate approaches according to the characteristics of multicultural and general adolescents.
A look into Covid-19 spreading through the lodging sector

This thesis integrates spatial analysis and text mining techniques to explore the experience of Airbnb users in the light of the health crisis of COVID-19. The main findings did not provide enough evidence to claim that after the outbreak of covid there was a significant change in the experience of Airbnb users in Rio de Janeiro and New York. On the one hand, the decrease of positive reviews was not significatively high, as the decrease was only 1% in Rio de Janeiro and 2% in New York. On the other hand, positive reviews containing covid terms accounted 87% of the covid reviews in Rio de Janeiro and 89% of the covid reviews in New York. Nevertheless, the analysis of reviews containing covid terms revealed topics related with the health crisis, such as the use of mask and hand sanitizer, cancellation of reservation and flight, and travel ban. Further analyses are required to prove if those situations had an influence in the experience of Airbnb users. The overall findings show how semantic and spatial analysis can contribute to the understanding of customer behaviour in the lodging sector, and furthermore during health crisis events.
Development Standard Operational Procedure of Safety Architecture Work in University of Indonesia Project Based on Work Breakdown Structure to Reduce Work Accidents

The construction industry is one of the most dangerous industries in the world, due to its very high accident and death rate. As a high-risk construction industry, in addition to cost, time and quality, work safety will have a major impact on the success of a project. With the procedure safety properly, it is expected that work accidents will be reduced due to integrated work breakdown structure. The method used in this study is qualitative method, with research strategy in the form of archival analysis, case study, and expert validation. Data collection was conducted by interview method with questionnaires with professional experts who have long worked in the field of Safety, which then resulted in the conclusion that Standard Operational Procedures on Architectural work can reduce work accident.
Clear and Omnipresent Danger: Digital Age Culture Wars and Reactions to Drag Queen Story Hour across Diverse Subreddit Communities

The culture wars, or battle between American conservatives and progressives to define national values, appeared to be in abeyance until they were seemingly reignited by Donald Trump’s “Make America Great Again” rally cry. Yet, contemporary culture wars are different from those of previous decades because, instead of being driven by political and intellectual elites, they are often fought by populist voices on social media platforms. Additionally, whereas culture wars have traditionally been understood as reactionary to changes in local communities, social media may redefine community such that threats emerging in one geographic area reverberate across the country. In this study, we analyze 1658 comments posted to four ideologically divergent Reddit communities in response to Drag Queen Story Hour, which entails drag performers reading books to children in libraries. Our analysis demonstrates ways that different communities grapple with cultural threat, with those who have historically influenced American values exhibiting fear over the power they stand to lose. Additionally, in our analysis, members of online communities responded to threats that materialized in geographic communities to which they did not necessarily have a tangible connection. Thus, the diffuse nature of digital age culture wars may render distinctions between abstract and tangible threats obsolete.
Speech Emotion Recognition Using 2D-CNN with Mel-Frequency Cepstrum Coefficients

With the advent of context-aware computing, many attempts were made to understand emotions. Among these various attempts, Speech Emotion Recognition (SER) is a method of recognizing the speaker's emotions through speech information. The SER is successful in selecting distinctive 'features' and 'classifying' them in an appropriate way. In this paper, the performances of SER using neural network models (e
Achieving Real-Time Spectrum Sharing in 5G Underlay Coexistence With Channel Uncertainty

Underlay coexistence is a spectrum efficient mechanism to roll out 5G picocells within a macrocell on the same spectrum. Due to a lack of cooperation between the primary users (PUs) in the macrocell and secondary users (SUs) in the picocells, it is impossible to have complete knowledge of channel conditions between them. Under such a circumstance, chance-constrained programming (CCP) has been shown to be an ideal optimization tool to address such a channel uncertainty. However, solutions to CCP are computationally intensive and cannot meet 5G’s timing requirement (125 <inline-formula><tex-math notation="LaTeX">$\mu s$</tex-math><alternatives><mml:math><mml:mrow><mml:mi>μ</mml:mi><mml:mi>s</mml:mi></mml:mrow></mml:math><inline-graphic xlink:href="hou-ieq1-3120945.gif"/></alternatives></inline-formula>). To address this problem, we propose a novel scheduler called GPU-based Underlay Coexistence (GUC) with the goal of finding an approximate solution to CCP in real-time. The essence of GUC is to decompose the original optimization problem into a large number of small subproblems that are suitable for parallel computation on GPU platforms. By selecting a subset of promising subproblems and solving them in parallel with fast algorithms, we are able to leverage GPU parallel computing and develop a real-time solution. Through extensive experiments, we show that GUC meets the 125 <inline-formula><tex-math notation="LaTeX">$\mu s$</tex-math><alternatives><mml:math><mml:mrow><mml:mi>μ</mml:mi><mml:mi>s</mml:mi></mml:mrow></mml:math><inline-graphic xlink:href="hou-ieq2-3120945.gif"/></alternatives></inline-formula> requirement while achieving 90% optimality on average.
Patient specific Polymethyl methacrylate customised cranioplasty using 3D printed silicone moulds: Technical note

Cranioplasty after decompressive craniectomy can be performed with several techniques and materials. With the common use of 3D printing, custom cranioplasty can be produced at affordable cost. Aim of this technical note is to describe our technique for producing patient specific Polymethyl methacrylate (PMMA) cranioplasty using 3D printed silicone moulds.
The Harvest Time, Optimal Growth and Catharanthine Content of Catharanthus roseus Cell Aggregates Treated with Tryptophan in Erlenmeyer Flash

Catharanthine bioactive compounds from Catharanthus roseus L. (G.) Don has been studied either in vitro and in vivo. Studies have been conducted to determine the effect of precursor tryptophan on the optimal growth and catharanthine content produced by cell aggregate cultures of Catharanthus roseus. The optimal growth and catharanthine content occur when the aggregate cell growth is good and the content of catharanthine is also high. Aggregate cell C. roseus was cultured on Murashige and Skoog (MS) with the addition of 2 mg/L NAA and 0.2 mg/L kinetin. Treatment was given with the addition of 150 mg/L tryptophan and the control without tryptophan. Further, the growth and the content of catharanthine were observed in cell aggregates and the medium on day 0, 4, 7, 10, 14, and day- to-21. Catharanthine content analysis was conducted using High-Performance Liquid Chromatography (HPLC) using a VP-ODS column C-18. The optimal growth was different in control and that 150 mg/L treatment tryptophan of cell aggregates and tryptophan may improve the growth and lead to longer growing phase after treatment compared with controls. The growth and catharanthine content are the highest after the tryptophan treatment on cell aggregates occurred on day 14 with the content of 2261.68 ± 17.05 mg/g DW. Subculture and harvest time are the best cells on day 14 after culture, and on day 14 the highest catharanthine content and biomass were obtained. The results of this study are needed to determine the appropriate harvest time on the production of secondary metabolites of catharanthine by in vitro. For future research, the optimal growth and content of catharanthine on the 14th day of culture in the bioreactor in a large scale or industries should be observed.
Reliability and safety technologies for the structure strength of railway vehicles in the future

Railway vehicles in China tend to run in heavy haul and high speed. Therefore, the reliability and safety of structure strength should be the key technologies. The situations of these technologies in the present are discussed and the forward development in the future is prospected. It is noted that the existent nominal stressbased approaches are not good valid to the local stressstrain data by finite element analysis and the local strain data by strainometer in field measurement. An additionally worthy note problem is the possibly random cyclic stressstrain (CSS) responses of engineering material revealed recently by author's experimental results, where there are not valid theories and methodologies. Therefore, three fundamental forward projects are suggested. One is to establish a theoretical system of local strainbased technologies for structural strength reliability analyses in which the CSS responses have been taken into account. Second is to develop a lifecycle technology to enhance synthetically the performance of vehicles. Third is to construct advanced design standard and licensed system for strength reliability and safety. 
Low-Resolution Fully Polarimetric SAR and High-Resolution Single-Polarization SAR Image Fusion Network

The data fusion technology aims to aggregate the characteristics of different data and to obtain products with multiple data advantages. To solve the problem of reduced resolution of polarimetric synthetic aperture radar (PolSAR) images due to system limitations, we propose a fully PolSAR images and single-polarization synthetic aperture radar (SinSAR) images fusion network to generate high-resolution PolSAR (HR-PolSAR) images. To take advantage of the polarimetric information of the low-resolution PolSAR (LR-PolSAR) images and the spatial information of the high-resolution single-polarization SAR (HR-SinSAR) images, we propose a fusion framework for joint LR-PolSAR images and HR-SinSAR images and design a cross-attention mechanism to extract features from the joint input data. Besides, based on the physical imaging mechanism, we designed the PolSAR polarimetric loss functions for constrained network training. The experimental results confirm the superiority of the fusion network over traditional algorithms. The average peak signal-to-noise ratio (PSNR) is increased by more than 3.6 dB, and the average mean absolute error (MAE) is reduced to less than 0.07. Experiments on polarimetric decomposition and polarimetric signature show that it maintains polarimetric information well.
SECONDARY METABOLITES AND THEIR BIOACTIVE POTENTIAL ANALYZED BY GC-MS IN STROBILANTHES ALTERNATA (BURM.F.) MOYLAN EX J.R.I.WOOD

: Bioactive secondary metabolites in the leaf extracts of Strobilanthes alternata were analysed using GCMS. The alcoholic extract of the leaves contain eight fatty acid methyl esters, five terpenoids and aromatic dicarboxylic acids distributed in varying concentrations. Squalene which occurred very low quantity compared to other molecules is reported to possess antioxidant potential and contribute considerable to the wound healing property. Most of the molecules are known to possess antibacterial, antifungal and anti-inflammatory activities. Many of the biomolecules are characterized by antioxidant potential also. The process of wound healing in which S.alternata known to play a vital role which is discussed in terms of the combined activity of each and every molecules of the leaf extracts possessing antimicrobial, anti-inflammatory and antioxidant activities. Wound healing and antioxidant potential of bioactive molecules are seemed to coexist in S.alternata.
RADNN: ROBUST TO IMPERCEPTIBLE ADVERSARIAL ATTACKS DEEP NEURAL NETWORK

This paper presents the RADNN algorithm. The RADNN is a robust to imperceptible adversarial attack algorithm that uses the concept of data density and similarities to detect attacks on real-time. Differently from traditional deep learnings that need be trained on the attacks to be able to detect, RADNN has a mechanism that detects data patterns changes. In order to evaluate the proposed method, we considered the PerC attacks and a 1000 images from the Imagenet dataset. The RADNN could correctly identify 97.2% of the attacks.
Edge Computing Server Deployment Technique for Cloud VR-based Multi-User Metaverse Content

Recently, as indoor activities increase due to the spread of infectious diseases, the metaverse is attracting attention. Metaverse refers to content in which the virtual world and the real world are closely related, and its representative platform technology is VR(Virtual Reality). However, since VR hardware is difficult to access in terms of cost, the concept of streaming-based cloud VR has emerged. This study proposes a server configuration and deployment method in an edge network when metaverse content involving multiple users operates based on cloud VR. The proposed algorithm deploys the edge server in consideration of the network and computing resources and client location for cloud VR, which requires a high level of computing resources while at the same time is very sensitive to latency. Based on simulation, it is confirmed that the proposed algorithm can effectively reduce the total network traffic load regardless of the number of applications or the number of users through comparison with the existing deployment method.
Key Techniques for Spatial Cable System of Fumin Bridge in Tianjin

The main bridge of Fumin Bridge in Tianjin is a single tower and spatial cable plane self-anchored suspension bridge with a main span 157.081 m and side span 86.4 m,and the main cables of the bridge over the main span are of the three-dimensional geometric shape whose projection in elevation and in plan is parabolic.In the design of the spatial main cable system of the bridge,lots of the technical problems were to be confronted,particularly with regard to the control of various influential factors in the construction process of several key structural nodes.In this paper,the key techniques for the spatial cable system of the bridge are briefly described.
Emotional intelligence: A key for Human Capital Sustainability Leadership beyond personality traits

The current economic crisis threatens the quality of working life. In this scenario, according to the sustainable development goals of the United Nations, the issues of sustainability and sustainable development have become urgent also for human resources in organizations. The present study aims to examine the relationships between trait Emotional Intelligence (EI) and Human Capital Sustainability Leadership (HCSL), controlling for personality traits. One hundred and sixty-seven Italian workers were administered the Big Five Questionnaire, the Trait Emotional Intelligence Questionnaire Short and the Human Capital Sustainability Leadership Scale. Results showed that trait EI added a percentage of incremental variance beyond personality traits in relation to HCSL. Trait EI could be a promising resource for HCSL in strength-based prevention perspectives for healthy organizations.
Mobile Robot Path Planning Based on Rolling Windows

Using the rolling optimization concept adopted in predictive control, robot path planning in globally unknown environment with dynamic obstacles is studied. The new robot path planning method based on rolling windows makes full use of the real time environmental information obtained locally by the robot and the path planning is performed on line in a rolling style through effective scenario predictioni. The mechanisms of optimization and feedback are combined in a reasonable way. The planning has low calculation burded and quick response to the changes of the environment. Simulations show that the planning method is well suitable to the dynamic uncertain environment. \;
Research on unbalanced reactive current compensation method

A new reactive power compensation method is developed to reduce the negative and zero sequence components of unbalanced load currents.This method can be employed not only in three-phase three-wire system but also in three-phase four-wire distribution feeders.Unbalanced load current may result in additional losses and damage to power systems.Load compensation is an effective method to eliminate those undesired sequence currents.The compensation uses a Y-connected and △-connected static reactive power compensator to give a different amount of reactive power compensation to each phase.Digital simulations are made to Y-connected and △-connected load.