Miracle-dz/UniFAR-FTUs huggingface dataset:
The gaseous environment of radio galaxies: a new perspective from high-resolution x-ray spectroscopy

It is known that massive black holes have a profound effect on the evolution of galaxies, and possibly on their formation by regulating the amount of gas available for the star formation. However, how black hole and galaxies communicate is still an open problem, depending on how much of the energy released interacts with the circumnuclear matter. In the last years, most studies of feedback have primarily focused on AGN jet/cavity systems in the most massive galaxy clusters. This thesis intends to investigate the feedback phenomena in radio--loud AGNs from a different perspective studying isolated radio galaxies, through high-resolution spectroscopy. In particular one NLRG and three BLRG are studied, searching for warm gas, both in emission and absorption, in the soft X-ray band. I show that the soft spectrum of 3C33 originates from gas photoionized by the central engine. I found for the first time WA in 3C382 and 3C390.3. I show that the observed warm emitter/absorbers is not uniform and probably located in the NLR. The detected WA is slow implying a mass outflow rate and kinetic luminosity always well below 1% the L(acc) as well as the P(jet). Finally the radio--loud properties are compared with those of type 1 RQ AGNs. A positive correlation is found between the mass outflow rate/kinetic luminosity, and the radio loudness. This seems to suggest that the presence of a radio source (the jet? ) affects the distribution of the absorbing gas. Alternatively, if the gas distribution is similar in Seyferts and radio galaxies, the M(out) vs rl relation could simply indicate a major ejection of matter in the form of wind in powerful radio AGNs.
ComparativeAnalysisofARIMAandLSTMM achine Learning Algorithm for Stock PricePrediction

Stocksofcompaniesheavilyinfluencethefinancial markets around the world. These companies help tocontributeandimprovetheoverallGDPofaneconomy.Hence, the importance of having a grip on the stock market forventurecapitalistsandcompaniesisinevitablefortheirfinancial benefit and growth. It is crucial to predict the stockprice to stay at the forefront of the financial world. None of theexistingmachinelearningtechniquescanprovideaperfectpredi ction of the stock prices due to the unpredictable identityof the stock market. The stock price prediction employing twomachinelearningalgorithms,LongShort-TermMemory(LSTM)andAutoregressivelntegratedMovingAve rage(ARIMA), willbediscussedindepthinthisstudy. Theaccuracy achieved by these two algorithms was compared. Inour comparison, we found out that, generally, LSTM had ahigheraccuracyrateinthestockpriceprediction.ARIMAprovide dbetterperformancewithasmalldatatimeframe, while LSTM had better performance in predicting stock pricewhenthedatatimeframeusedwaslarge.
OPTIMIZATION OF A STEEL PENSTOCK WITH STIFFENER RINGS

The paper presents the optimization of a high-pressure steel penstock with stiffener rings, which is constructed in a bored tunnel for a pump storage hydroelectric plant. The optimization is performed using nonlinear programming (NLP) methods, and an NLP optimization model is developed. The mass of the steel structure is defined in the objective function to be minimized and structural (in)equality constraints are imposed. The latter comprise the dimensioning equations of a steel penstock, which is exposed to the internal and external water pressure cases. Only the main constraints are introduced in the paper. They include checking the circumferentia l stresses in the pipe owing to internal water pressure, as well as the critical pressures in the steel liner and stiffener rings when the pipe is exposed to the external water pressure. The numerical example at the end of the paper describes the optimization of the high-pressure steel penstock for the pumped hydropower plant Kozjak, which will be constructed in Slovenia near the city of Maribor.
A NOVEL DGS-BASED SUBSTRATE INTEGRATED COAXIAL LINE BANDPASS FILTER WITH THREE TRANSMISSION ZEROS

|A novel high-selectivity bandpass (cid:12)lter based on a defected ground structure and substrate integrated coaxial line is proposed. Three transmission zeros near the passband are achieved by introducing a divergent-shaped resonator and two spindle-shaped defected ground structures, resulting in a high selectivity. To verify the proposed structure, one prototype with a center frequency of 4.94 GHz is designed and fabricated. The measured results show that three transmission zeros respectively located at 3.92, 4.36, and 6.00 GHz are obtained. The 3-dB passband bandwidth is 14.2% from 4.59 to 5.29 GHz. The upper stopband rejection is better than 20 dB from 5.71 to 11.31 GHz.
Applications of the Three-cornered Hat Method to the Error Variance Estimations of FY-4A Atmospheric Temperature Profiles

ABSTRACT This study applied the three-cornered hat method to the error variance estimations of temperature profiles retrieved from the Geosynchronous Interferometric Infrared Sounder (GIIRS), the first hyperspectral infrared sounder onboard Fengyun-4A (FY-4A) geostationary satellite. An accurate observational error is a crucial input parameter for FY-4A temperature profile assimilation. Using multiple data sets from 2020, this study examined the error variances of FY-4A temperature profiles in clear-sky and cloudy-sky respectively. Because of the effects of clouds on GIIRS, the error variances in cloudy-sky are much larger than in clear-sky. Provided that error variances less than 4K2 are significant for data assimilation, the FY-4A temperature profiles in clear-sky from 900 to 150 hPa are meaningful to be assimilated. Results reveal that the latitudinal dependency of error variances is strong at 100 hPa. Encouraged by the vertical distributions of the temperature profile differences between FY-4A and other data sets, the error variance of total potential energy is also examined in this study. Although the detailed structures of temperature profiles are removed, the vertical integration obtains a more minor percentage error. Further studies on data assimilation are worth discussing if total potential energy is more meaningful than the FY-4A temperature profiles.
The Effect of Scandium on the Microstructure of the Aluminium Alloy AA 6086

The investigation studied the effects of 0.2 wt. % and 1 wt. % scandium (Sc) additions on the microstructure of the aluminium alloy AA 6086 in different conditions. The alloys were produced by casting into a metallic mould, followed by various heat treatments. The alloys were examined using light microscopy, scanning and transmission electron microscopy, microchemical analysis, differential scanning calorimetry and X-ray diffraction. The phase compositions and solidification sequences were modelled using the CALPHAD approach, which reasonably agreed with the experimental results. The addition of Sc to AA 6086 strongly reduced the grain size of the Al-rich solid solution and induced the appearance of Sc-rich phases AlSc2Si2 and L12-Al3X. Other phases identified in the Sc-free alloy were also found in the Sc-modified alloys. Homogenisation caused the dissolution of most phases and the formation of different types of dispersoids. In the alloy with 0.2% Sc, the distribution of dispersoids was not uniform. The plate-like AlMnCrSi dispersoids formed mainly at the dendrite centres, together with spherical L12 precipitates, while smaller α-AlMnSi and tetragonal t-Al3Zr dispersoids were created elsewhere. The addition of 0.2% Sc did not considerably affect the strengthening of AA 6086. The precipitation during isothermal ageing was slightly delayed and shifted to higher temperatures during continuous heating.
General Industrial Environment and Health Design Software Using a Small Data-Driven Neural Network Model

The developed enterprise intellectual brain neural network platform for industrial environment and health design driven by small data converts the wisdom knowledge of enterprise designers into data and helps enterprises retain design experience, accumulate design knowledge results, sort out the design process, and shorten the design cycle. The goal of this project is to combine artificial intelligence, big data, the Internet of things, parameterization, and other computer technologies with the industrial environment and health design and development process of manufacturing enterprises to solve pain points for businesses and designers, as well as to develop and create a large-scale product-level general parameter intelligent design software. The development of this software project can greatly improve the work efficiency of designers, save the time spent by designers on low-end repetitive labor, and in turn promote designers to engage in more valuable creative work and realize the digitization of entire product life cycle. It can also improve the inefficient and redundant work efficiency of designers, and designers can switch between multiple roles. At the same time, a design think tank is formed through the accumulation of enterprise design knowledge through data, and the neural network platform development of big data drives the design brain, that is, an efficient and intelligent industrial environment and health design expert system is generated, just like the enterprise brain, including expert think tanks, internal technical data encryption of enterprises interface, enterprise core technology think tank, enterprise production resources, risk control standard library, etc.
Contradictions between Islamists in the Regional and Global Context: Wahhabis, Muslim Brothers, and al-Qaeda

The 1990–1991 Gulf War of the US-led coalition forces against Iraq had far-reaching global and regional implications. Islamists – that is, those for whom religion had become a part of political discourse, organizational affiliation and political struggle – sharply diverged in their assessments of that war. While the Wahhabis supported the Saudi government, which invited the US troops and their allies, the Muslim Brothers and the related Sahwa Movement in Saudi Arabia condemned the deployment of non-Muslim forces to the land of the two Holy Places and the war against ‘Muslim Iraq’ with the assis-tance of non-Muslim soldiers, as well as questioned the very legitimacy of the government of Saudi Arabia, which made such a decision. Previous dogmatic disagreements – such as those over attitudes towards the Sufis or the applica-tion of Sharia law – had not previously hindered the cooperation between Brothers and Wahhabis on the basis of the struggle against nationalism, communism, socialism, laicism, the penetration of culture and other Western values. Yet, the former dogmatic divisions deepened, and the politicization of Islam revealed the sharply anti-Western positions of the Islamists from among the Brothers and the Sahwa. The Sahwa ear-Vasiliev Contradictions between Islamists ly 2021 did the coalitions achieve some degree of consensus, and Saudi Arabia and Qatar seemed to have restored relations. 2001:
Environmental Discourse Exhibits Consistency and Variation across Spatial Scales on Twitter

Abstract Social media platforms, such as Twitter, are an increasingly important source of information and are forums for discourse within and between interest groups. Research highlights how social media communities have amplified movements such as the Arab Spring, #MeToo, and Black Lives Matter. But environmental digital discourse remains underexplored. In the present article, we apply automated text analysis to 200,000 Twitter users in several countries following leading environmental nongovernmental organizations. Some issues such as public action to decarbonize society or species conservation were discussed more intensely than agriculture or marine conservation. Our results illustrate where environmental discourse diverges and converges on Twitter across countries, states, and characteristics, such as political ideology. Using the coterminous United States as a case study, we observed that the prominence of issues varies across states and, in some cases, covaries with political ideology across counties. Our findings show paths forward to characterizing environmental priorities across many issues at unprecedented scale and extent.
Distributed Edge System Orchestration for Web-Based Mobile Augmented Reality Services

The emergence of edge computing and 5G networks has fueled the growth of mobile Web AR. Although efforts have been made to improve the edge system efficiency for Web AR applications, efficient edge-assisted mobile Web AR services remain technically challenging. This paper presents EARNet, a distributed edge system orchestration approach for mobile Web AR in 5G networks. The design of EARNet makes three novel contributions. First, EARNet manages the edge network dynamics with respect to user mobility and their Web AR service requests by employing landmarks and grid index based edge node localization mechanisms. Second, EARNet takes into account both request serving performance and offloading cost in managing workload balance and quality of service and leverages dynamic hash and max heap mechanisms for efficient Web AR service lookup and AR computations. Third, EARNet designs the service migration schemes by optimizing several performance factors, such as message efficiency, scheduling latency, request density and locality of mobile users and edge nodes, and accuracy of Web AR services after migration. Experimental evaluations are conducted using the real base station deployment data in the Melbourne Central Business District (CBD) area. The results shows the effectiveness of the EARNet edge orchestration approach compared to several baseline approaches.
Re-Visiting Maximal Heart Rate Prediction Using Cross-Validation in Population Aged 7–55 Years

The primary purpose of the present study was to re-visit HRmax prediction by two commonly used equations (i.e., Fox′s and Tanaka′s equation) compared to the direct measured HRmax using the large sample size of Asians. The second aim of the study was to focus on suggesting new equations for the Asian population by separating gender and specific age groups. A total of 672 participants aged from 7 to 55 years were recruited for the study (male: 280 and female: 392), and the maximal graded exercise test with Bruce protocol was used to measure HRmax. All data obtained from the study were analyzed by SPSS 25.0. Additionally, three statistical analysis methods (i.e., Mean Absolute Percent Errors (MAPE), Bland–Altman plots, and equivalence testing) were utilized to confirm the consistency between the measured HRmax and the two prediction equations. The main finding was that two equations showed significant differences in predicting the HRmax of Korean aged from 7 to 55 years. The outcome of children aged from 7 to 14 was a different fit in the agreement compared to other age groups. Fox′s equation had the best fit in the average of the difference closer to zero and completely included within the equivalence zone, but females over 15 years old revealed higher errors than males in the values calculated by the two equations compared to the direct measured HRmax. Consequently, the study demonstrated that both equations tended to overestimate the HRmax for males and females over 15 years old, and the two universal equations were not suitable to predict the HRmax of Koreans except for children aged from 7 to 14 years. The new HRmax prediction equations suggested in this study will more accurately predict the HRmax of Asians, and additional analyses should be examined the cross-validity of the developed HRmax equation by age and gender in the future study.
An End-to-End Localizer for Long-Term Topological Localization in Large-Scale Changing Environments

Long-term localization is an essential task for unmanned ground vehicles; however, it suffers from scene changes due to various environmental conditions (e.g., lighting conditions, seasonal shifts, viewpoint changes, or occlusions). In this article, we propose a novel end-to-end localizer for robust long-term localization in changing environments. First, a lightweight two-head place classification network is proposed in which a place is regarded as a category. Considering seasonal changes lead to severe variants of local structures, large-sized filters in the first layer and a large-scale average-pooling strategy are designed to focus regional context features of scenes. Motivated by the reward and punishment mechanisms in reinforcement learning, an incremental learning strategy is proposed to distinguish distinctive scenes for robust topological localization. Extensive experiments tested on three datasets whose collecting periods are over a year are utilized to validate the feasibility and performance of our method.
Structural Analysis of Oxidized Sucrose and Its Application as a Crease-Resistant Crosslinking Agent

Oxidized sucrose is a non-formaldehyde crosslinking agent with many applications in polymer crosslinking and modification, such as in the preparation of starch films and protein films. However, research on the structure of oxidized sucrose is lacking. In this paper, oxidized sucrose was synthesized through selective oxidation of sodium periodate. By LC-MS, FTIR, TGA, NMR, and HRMS analyses, it was shown that oxidized sucrose existed in the form of a hydrate, and the tetraaldehyde oxidized sucrose could isomerize into the form of two six-membered hemiacetal rings. The structure of oxidized sucrose was also verified by theoretical calculations. Furthermore, the diffusional properties of oxidized sucrose were investigated by the rolling-film method. Finally, it was found that oxidized sucrose used as a crosslinking agent could effectively improve the wrinkle recovery performance of cotton fabrics.
The Efficacy of a Trivalent Inactivated Salmonella Vaccine Combined with the Live S. Gallinarum 9R Vaccine in Young Layers after Experimental Infections with S. Enteritidis, S. Typhimurium, and S. Infantis

Worldwide, poultry infections by Salmonella are the cause of significant economic losses, not only due to reduced production (due to fowl typhoid disease), but also considering the efforts and control measures that must be constantly applied, especially due to zoonotic serovars. Poultry is a common reservoir of Salmonella and its transmission into the food chain is a risk for humans. The vaccination of layers plays an important role in the overall efforts to prevent Salmonella infections. An inactivated trivalent vaccine was prepared with S. Enteritidis, S. Typhimurium, and S. Infantis strains. Infection trials were performed to evaluate the efficacy of three vaccination schedules using inactivated and live S. Gallinarum 9R vaccines. For this purpose, at week 5 of life, one subcutaneous dose of live S. Gallinarum 9R vaccine (1–5 × 107 CFU) was given to Groups 1 and 2. At weeks 8 and 11 of life, chickens were also vaccinated with one (Group 1) or two (Groups 2 and 3) intramuscular doses of the inactivated oil-adjuvant trivalent vaccine (1 × 108 CFU/dose of each antigen). Group 4 consisted of chickens that remained unvaccinated (control). At week 14 of life, the efficacy of the vaccination plans was evaluated in three separate inoculation trials with S. Enteritidis, S. Typhimurium, or S. Infantis. After vaccination with the inactivated vaccine, homologous antibody production was observed, and after challenge, a significant reduction in the faecal shedding, invasion, and colonization of S. Typhimurium and S. Infantis was achieved by all vaccination schedules, while the vaccination with at least one dose of the live S. Gallinarum 9R vaccine was necessary to obtain such a significant protection against S. Enteritidis infection.
Cultural Code Analysis of the Integration of Pintados Design in Furniture Product Development using Semiotics and Quality Function Deployment

This study consisted of a design research into the application of Pintados tattoo patterns in a furniture product design and used semiotic theories to explore furniture product design methods. The research was carried out in three phases: (1) semiotic analysis (thematic analysis), (2) Quality Function Deployment (technical case study), and (3) cultural code analysis. The purpose was to find new strategies to convey scientific-based design information in introducing the cultural connotations of Pintados tattoo patterns to modern design. The main results of this study were: (1) the developed Pintados furniture design was semiotically projected onto a traditional time development axis, a localized spatial development axis, and a cultural conforming/cultural difference axis; (2) the cultural code analysis revealed that the psychological aspect reflects affect, transmission, and identification codes, while the behavioral aspect generates function and transmission codes, and the physical aspect expresses aesthetic, transmission, style and hue codes; (3) designers are recommended to start from their own traditional roots, meaning in this case that the ‘culturally literate market’ must be part of the Visayan community and must be aware of the Pintados tattoo tradition. By considering developments from the pre-colonial past to the present, we can assess the paradigm shift of cultural codes from the traditional interpretation to the contemporary modern understanding, stripped of preconceived biases imposed by the hegemonic Western mindset. These biases, which are a systemic problem in the process of semiotic practice (discourse, design, production and distribution), can be addressed by art and design appreciation and a thorough analysis of consumer culture.
Managing a virtual team of newspaper journalists: A case study in newspaper editorial office

This paper deals with managing of the joint editorial office of three regional newspapers in Finland. Competition with new media has forced newspaper editorial offices to reorganize their activities to get new competitive assets to survive. Mergers and coalitions of media houses have become common in newspaper industry in Europe. For newspaper editorials, networking with other newspaper editorials is one way to meet challenges of media markets. This study was conducted in a joint editorial office that produces material for three newspapers. Results show that, in editorial work, a virtual team is a beneficial way of co‐operation. Journalists are used to work autonomously and independently, and therefore they adjusted to work in a virtual team, whose members worked de‐located. They found face‐to‐face meetings important, because in that way they could identify themselves as members of a specific team and bond relationship with other members.
The effects of glossy screens on the acceptance of flat‐panel displays

Abstract— The TCO requirements provide well‐known and recognized quality labels for displays. For these requirements to remain useful, they must continuously be reviewed and updated when necessary. The study described here was performed in response to the market trend of designing flat‐panel displays and notebooks with glare panels. The purpose of this study was to investigate subjective responses to display screens of different gloss levels for office workers working on different tasks under normal office‐lighting conditions. The study consisted of three parts, one where the users should set an acceptable reflex level, one where the user should rate their disturbance on a category scale, and one where the visual acuity of the users were investigated whether they were affected by glare or not. The results show that increasing gloss and increasing luminance levels had negative effects on the acceptance and the disturbance of reflexes. There were statistically significant differences in the acceptance and the disturbance levels between screens with low gloss and screens with high gloss, which suggests that screens with the highest gloss levels should be avoided. The study did not show an effect on the performance based on acuity testing.