Miracle-dz/UniFAR-FTUs huggingface dataset:
Stock Market Linkages between the Asean Countries, China and the US: A Fractional Integration/cointegration Approach

ABSTRACT This paper examines stock market integration between the five ASEAN countries and both the US and China in turn, over the period from November 2002 to August 2020. The linkages between both aggregate and financial sector stock indices (both weekly and monthly) are analyzed using fractional integration and fractional cointegration methods. Further, recursive cointegration analysis is carried out for the weekly series to study the impact of the 2007–8 global financial crisis and the 2015 China stock market crash on the pattern of stock market co-movement. The main findings are the following. All stock indices exhibit long-range dependence. There is cointegration between the five ASEAN countries and the US but almost none between the former and China, except between Indonesia and China in the case of the financial sector. The 2007–8 global financial crisis and the 2015 Chinese stock market plunge weakened the linkages between the ASEAN five and both China and the US. The implications of these results for market participants and policy makers are discussed.
Analysis of Combustor and Nozzle for Monopropellant Satellite Thruster

A numerical analysis was performed to predict the thermo-fluid dynamic characteristics of hydrazine monopropellant reaction in the thruster combustor and nozzle. A 1-D porous model was introduced to simulate catalytic reaction by iridium in the combustor while 2-D axisymmetric analysis was applied to predict the nozzle flow. The chemical species and temperature variations were predicted by changing the injection pressure and mass flow rate and their results were validated by comparison with limited experimental data. The thrust variation with injection pressure could be estimated using the current 1-D combustor modeling.
Allometric Equations for Estimating Aboveground Biomass of Eucalyptus urophylla S.T. Blake in East Nusa Tenggara

Understanding the essential contribution of eucalyptus plantation for industry development and climate change mitigation requires the accurate quantification of aboveground biomass at the individual tree species level. However, the direct measurement of aboveground biomass by destructive method is high cost and time consuming. Therefore, developing allometric equations is necessary to facilitate this effort. This study was designed to construct the specific allometric models for estimating aboveground biomass of Eucalyptus urophylla in East Nusa Tenggara. Forty two sample trees were utilized to develop allometric equations using regression analysis. Several parameters were selected as predictor variables, i.e. diameter at breast height (D), quadrat diameter at breast height combined with tree height (D2H), as well as D and H separately. Results showed that the mean aboveground biomass of E. urophylla was 143.9 ± 19.44 kg tree-1. The highest biomass were noted in stem (80.06%), followed by bark (11.89%), branch (4.69%), and foliage (3.36%). The relative contribution of stem to total aboveground biomass improved with the increasing of diameter class while the opposite trend was recorded in bark, branch, and foliage. The equation lnŶ = lna + b lnD was best and reliable for estimating the aboveground biomass of E. urophylla since it provided the highest accurate estimation (91.3%) and more practical than other models. Referring to these findings, this study concluded the use of allometric equation was reliable to support more efficient forest mensuration in E. urophylla plantation.
Robust fault-tolerant flight control of quadrotor against faults in multiple motors

In this article, position and attitude tracking control of the quadrotor subject to complex nonlinearities, input couplings, aerodynamic uncertainties, and external disturbances coupled with faults in multiple motors is investigated. A robustified nonlinear dynamic inversion (NDI)-based fault-tolerant control (FTC) scheme is proposed for the purpose. The proposed scheme is not only robust against aforementioned nonlinearities, disturbances, and uncertainties but also tolerant to unexpected occurrence of faults in multiple motors. The proposed scheme employs uncertainty and disturbance estimator (UDE) technique to robustify the NDI-based controller by providing estimate of the lumped disturbance, thereby enabling rejection of the same. In addition, the UDE also plays the role of fault detection and identification module. The effectiveness and benefits of the proposed design are confirmed through 6-DOF simulations and experimentation on a 3-DOF Hover platform.
Using a Lossy Electrical Transmission Line Model for Optimizing Straw Phonation Configurations

Straw phonation has a long history of being a successful vocal therapy technique. However, not much is known about the mechanics of phonation with a straw, nor the best combination of phoneme and straw dimensions to be used. A significant limitation in research thus far is the complexity of existing models and computation techniques to determine acoustic and aerodynamic values such as impedance. In this study, a new electrical circuit-based model of the vocal tract as a transmission line is evaluated and compared to established impedance calculation methods. Results indicate that the model is not complete yet, so several adjustments are suggested and discussed. In addition, straw phonation configurations are examined using previously developed models to determine which maximize impedance and power.
A New Insight on Physical Phenomenology: A Review

After a brief digression on the current landscape of theoretical physics and on some open questions pertaining to coherence with experimental results, still to be settled, it is shown that the properties of the deformed Minkowski space lead to a plurality of potential physical phenomena that should occur, provided that the resulting formalisms can be considered as useful models for the description of some aspects of physical reality. A list is given of available experimental evidence not easy to be interpreted, at present, by means of the more established models, such as the standard model with its variants aimed at overcoming its descriptive limits; this evidence could be useful to verify the predictions stemming from the properties of the deformed Minkowski space. The list includes anomalies in the double-slit-like experiments, nuclear metamorphosis, torsional antennas, as well as the physical effect of the “geometric vacuum” (as defined in analogy with quantum vacuum), in the absence of external electromagnetic field, when crossing critical thresholds of energy parameter values, energy density in space and energy density in time. Concrete opportunities are suggested for an experimental exploration of phenomena, either already performed but still lacking a widely accepted explanation, or conceivable in the application of the approach here presented, but not tackled until now. A tentative list is given with reference to experimental infrastructures already in operation, the performances of which can be expanded with limited additional resources.
Oxygen evolution reaction (OER) mechanism under alkaline and acidic conditions

Density functional theory (DFT) simulations of the oxygen evolution reaction (OER) are considered essential for understanding the limitations of water splitting. Most DFT calculations of the OER use an acidic reaction mechanism and the standard hydrogen electrode (SHE) as reference electrode. However, experimental studies are usually carried out under alkaline conditions using the reversible hydrogen electrode (RHE) as reference electrode. The difference between the conditions in experiment and calculations is then usually taken into account by applying a pH-dependent correction factor to the latter. As, however, the OER reaction mechanisms under acidic and under alkaline conditions are quite different, it is not clear a priori whether a simple correction factor can account for this difference. We derive in this paper step by step the theory to simulate the OER based on the alkaline reaction mechanism and explain the OER process with this mechanism and the RHE as reference electrode. We compare the mechanisms for alkaline and acidic OER catalysis and highlight the roles of the RHE and the SHE. Our detailed analysis validates current OER simulations in the literature and explains the differences in OER calculations with acidic and alkaline mechanisms.
The low excretor phenotype of glutaric acidemia type I is a source of false negative newborn screening results and challenging diagnoses

Glutaric acidemia type I (GA1) is an organic acidemia that is often unrecognized in the newborn period until patients suffer an acute encephalopathic crisis, which can be mistaken for nonaccidental trauma. Presymptomatic identification of GA1 patients is possible by newborn screening (NBS). However, the biochemical “low‐excretor” (LE) phenotype with nearly normal levels of disease metabolites can be overlooked, which may result in untreated disease and irreversible neurological sequelae. The LE phenotype is also a potential source of false negative (FN) NBS results that merits further investigation.
Meu malvado favorito: os memes bolsonaristas de WhatsApp e os acontecimentos políticos no Brasil

Resumo Este artigo investiga o humor em memes de internet que circularam em grupos do WhatsApp de apoiadores de Bolsonaro durante seis meses de seu governo. A análise de conteúdo propõe-se a compreender quais são os elementos retóricos nacionalistas presentes nos memes compartilhados pela extrema-direita brasileira, notadamente aqueles que fazem menção direta a Bolsonaro, quais expressões antidemocráticas esses memes mobilizam e como a sua circulação reflete de alguma forma acontecimentos recentes na vida política do país. Conclui-se que as imagens circuladas nesses grupos ajudam a pavimentar o terreno para um humor visual de extrema-direita, com teor fortemente ideológico e radicalizado.
Gloeobacter and the implications of a freshwater origin of Cyanobacteria

ABSTRACT The earliest branching cyanobacterium, Gloeobacter, exhibits a number of ancestral traits including the lack of thylakoids. It occurs epilithically in microbial mats, both subaerially and submerged in low-salinity habitats. These habitats and the absence of thylakoids are associated with the occurrence of membrane-associated photosynthetic processes in the plasma membrane, possibly limiting the rate of both assembly and reassembly of the oxygen-evolving complex, as well as the photosynthetic rate and in vitro growth rate. These factors interact with the occurrence of Gloeobacter in mats to constrain productivity in nature. Traits found in living Gloeobacter, with the probable time of origin of oxygenic photosynthesis and diversification of cyanobacteria, can be related to the possible role of oxygenic primary productivity and organic carbon burial on land during the early Earth in low-salinity environments around the time of the global oxidation event.
Analysis on the Housing Price Relationship Network of Large and Medium-Sized Cities in China Based on Gravity Model

The relationship among cities is getting closer, so are housing prices. Based on the sale price of stocking houses in thirty-five large and medium-sized cities in China from 2010 to 2021, this study established the modified gravity model and used the method of social network analysis to explore the spatial linkage of urban housing prices. The results show that: (1) from the overall network structure, the integration degree of housing price network in China is still at a low stage, and the influence of housing price is polarized; (2) from the individual network structure, Beijing, Shanghai, Shenzhen, Nanjing, Hangzhou, and Hefei have a higher degree of centrality. Chengdu, Xining, Kunming, Urumqi, and Lanzhou stay in an isolation position every year; (3) from the results of cohesive subgroup analysis, different cities play different roles in the block each year and have different influences on other cities. (4) Emergencies, such as outbreaks of COVID-19, also have an impact on the housing price network. Structural divergence among urban housing prices has become more pronounced, and the diversity of house price network has been somewhat reduced. Based on the above findings, this paper puts forward some recommendations for the healthy development of housing market from the perspective of housing price network.
The Existence of Trade Union on the Implementation of Outsourcing Worker Policy in the Rights of Labour: Case from Indonesia

The form of deviation in the application of outsourcing policy and the system of work agreement for a certain time include: (1) the company has not classified the core and noncore business; (2) outsourcing workers and contract workers are not included in the worker's social security program, (3) outsourcing workers have no job security, career guarantees, and continuity of work; and (4) the tendency of job hire companies and employment service providers to pay wages lower than the regency minimum wage. Irregularities in the implementation of outsourcing policies led to conflicts of interest, disharmonious organizational communication, and mistrust of workers towards management. This problem triggerred demonstrations and strikes by workers and trade unions. On the other hand, supervision and guidance from the local manpower office had not been effective. Therefore, the role and existence of trade unions were necessary to fight for workers 'rights and legal certainty to protect workers' rights. The results of this study revealed the existence of trade unions through mass demonstrations nationally and to reject the outsourcing system can pressure the East Java Governor to conduct a moratorium on outsourcing and the Indonesian government to design Omnibuslaw outsourcing. On the one hand, Omnibuslaw aims to facilitate the outsourcing system and on the other hand provides a favorable compensation for workers in the form of a pension guarantee. Previous research showed that trade union advocacy on the implementation of the Law of the Republic of Indonesia No. 21 of 2000 produced a model of trade union advocacy and the role of trade unions in determining district minimum wages. This research was a downstreaming from previous research conducted at employer companies, union outsourcing companies, and labour agencies in East Java.
Process Engineering of the Acetone-Ethanol-Butanol (ABE) Fermentation in a Linear and Feedback Loop Cascade of Continuous Stirred Tank Reactors: Experiments, Modeling and Optimization

The production of butanol, acetone and ethanol by Clostridium acetobutylicum is a biphasic fermentation process. In the first phase the carbohydrate substrate is metabolized to acetic and butyric acid, in the following second phase the product spectrum is shifted towards the economically interesting solvents. Here we present a cascade of six continuous stirred tank reactors (CCSTR), which allows performing the time dependent metabolic phases of an acetone-butanol-ethanol (ABE) batch fermentation in a spatial domain. Experimental data of steady states under four operating conditions—with variations of the pH in the first bioreactor between 4.3 and 5.6 as well as the total dilution rate between 0.042 h−1 and 0.092 h−1—were used to optimize and validate a corresponding mathematical model. Beyond a residence time distribution representation and substrate, biomass and product kinetics this model also includes the differentiation of cells between the metabolic states. Model simulations predict a final product concentration of 8.2 g butanol L−1 and a productivity of 0.75 g butanol L−1 h−1 in the CCSTR operated at pHbr1 of 4.3 and D = 0.092 h−1, while 31% of the cells are differentiated to the solventogenic state. Aiming at an enrichment of solvent-producing cells, a feedback loop was introduced into the cascade, sending cells from a later state of the process (bioreactor 4) back to an early stage of the process (bioreactor 2). In agreement with the experimental observations, the model accurately predicted an increase in butanol formation rate in bioreactor stages 2 and 3, resulting in an overall butanol productivity of 0.76 g L−1 h−1 for the feedback loop cascade. The here presented CCSTR and the validated model will serve to investigate further ABE fermentation strategies for a controlled metabolic switch.
Cost classification and decision-making: Practical approach

The application of concepts in a real-life situation is the fundamental requirement for experiential learning. The case provokes simple learning through a real-world learning activity and allow students to apply their knowledge of various cost concepts while taking decisions. The case is designed in such a way so that high level student engagement can be obtained from the initial stage of the course and can be used at an undergraduate or graduate level without calling for strong accounting background. The case could be used for classroom discussion or for individual or group assignment as well. The case contests students to think outside the business environment and apply cost concepts in a daily life for a small service company. Students’ responses indicates that the case was comprehensively designed to cover all the relevant concepts of Cost Classification and Decision Making and helped them to learn their practical daily life usage.
Online News Addiction: Future Anxiety, Fear of Missing Out on News, and Interpersonal Trust Contribute to Excessive Online News Consumption

Following online news and updates have become an ever-increasing part of life in the information age. Surprisingly, however, there is no standardized measurement to examine excessive news consumption in the online context. This study was conducted in order to address online news addiction by developing and validating a questionnaire. Furthermore, this study investigated psychological determinants and consequences of online news addiction. A 9-item questionnaire was developed to assess participants’ maladaptive online news consumption. Exploratory factor analysis suggested a one-factor model including 9 items, accounting for 51.47 of the total variance. The confirmatory factor analysis showed support for this one-factor model. The results revealed that the online news addiction questionnaire had acceptable internal consistency reliability. Future anxiety, fear of missing out on news, and interpersonal trust were associated with online news addiction. High future anxiety and fear of missing out on news predicted the tendency to consume news excessively. Contrarily, those with high interpersonal trust expressed lower online news addiction. Additionally, online news addiction was a significant predictor of problematic internet use. These findings increase knowledge of online news addiction and indicate that online news consumption can be viewed as potential addictive behavior that may contribute to problematic internet use.
Groundwater subsidizes tree growth and transpiration in sandy humid forests

As drought variability increases in forests around the globe, it is critical to evaluate and understand ecosystem attributes that ameliorate drought impacts. Trees in arid and semi‐arid ecosystems can sustain tree growth and transpiration during drought by accessing shallow groundwater, yet the extent to which groundwater influences forest growth and transpiration in humid environments has largely been unexplored. We quantified groundwater's influence on tree growth and transpiration in northern humid forests with sandy soils. We hypothesized that even in wet regions, soil droughts occur relatively frequently in forests with sandy soils and result in water stress and reduced tree growth. Further, we hypothesized these reductions in productivity are ameliorated if the forest can access shallow groundwater during dry conditions. We evaluated tree growth responses using tree cores in Pinus resinosa trees and estimated forest groundwater use from diel water table fluctuations across sites covering a 1‐ to 9‐m depth‐to‐groundwater (DTG) gradient. In areas of shallow groundwater (DTG < 2.5 m), we observed twice as much tree growth and high, frequent groundwater use (up to 81% of non‐rainy summer days). Groundwater's influence on tree growth and transpiration declined as groundwater deepened along the DTG gradient in the range 1–5 m below land surface. These findings suggest that water provided by a shallow water table subsidizes evapotranspiration in humid forests and results in enhanced tree growth. Our research provides a basis for understanding the role of groundwater in conferring drought resistance in humid forests to help guide sustainable water and forest management decisions.
Privacy-Preserving Flexible Access Control for Encrypted Data in Internet of Things

Along with the development of edge computing and the cloud, the Internet of Things (IoT) is affecting and changing people’s lives. Data sharing has played an important role in the IoT, but the leakage of private user information poses a new security threat to the users. Thus, flexible fine-grained access control for such shared data is proposed in this article as an effective and secure method of eliminating vulnerabilities. However, the disclosure of access policies will also expose users’ private information. Recently, Yang et al. attempted to solve this problem and proposed a framework based on attribute-based encryption for shared data onto IEEE IoT-J(DOI: 10.1109/JIOT.2016.2571718). They hide the access policies by using a bloom filter (BF) and attempt to address privacy preservation in IoT. However, we demonstrate several security weaknesses of their framework and point out its vulnerability to dictionary attacks and access policy guessing attacks. Then, an improved IoT solution is proposed. Under this proposal, the attribute values are stored in BF while the attribute names are embedded in the access policy. The proposed scheme can resist dictionary attacks and access policy guessing attacks. In addition, it simultaneously realizes large attribute sets, an efficient decryption algorithm, and adaptive security. Security analysis and performance evaluations show that the presented scheme achieves higher security and implementation simplicity in the IoT than other currently available schemes.
The μTOSCA toolchain: Mining, analyzing, and refactoring microservice‐based architectures

Exploiting microservices to architect enterprise applications is becoming commonplace. This makes it crucial to provide some support for designing and analyzing microservice‐based applications, for example, for understanding whether a microservice‐based application adheres to the main design principles of microservices and for choosing how to refactor it when this is not the case. To provide such support, in this article we present the μ TOSCA toolchain. More precisely, we first introduce the μ TOSCA model to represent the architecture of microservice‐based applications with the OASIS standard TOSCA. We then describe a technique to automatically mine the architecture of a microservice‐based application and represent it with μ TOSCA, given the Kubernetes deployment of the application. We also present a methodology to analyze the μ TOSCA representation of a microservice‐based architecture to systematically identify the architectural smells potentially affecting the corresponding application and to resolve them. Finally, we present two prototype tools, μMiner and μFreshener, implementing our mining solution and the support for identifying and resolving architectural smells in microservice‐based applications, respectively. We then assess —by discussing some case studies— how effectively μMiner, μFreshener, and the μ TOSCA toolchain can support researchers and practitioners working with microservices.