Miracle-dz/UniFAR-FTUs huggingface dataset:
Decentralized multi-point optimization algorithms for multi-airfoil design in aerodynamics

A multi point evolutionary optimization method coupled Genetic Algorithms (GAs) and Game Theory (GT) for high lift multi airfoil systems in Aerospace Engineering is presented.GAs are IT based evolutionary methods for mimicking natural adaptation systems in the computer.Due to large dimension global optimization problems and the increasing importance of low cost distributed parallel environments it is a natural idea to replace a global optimization by decentralized local sub optimizations using GT,which introduces the notion of games associated to an optimization problem.The combined Nash/GAs and Stackelberg/GAs optimization methods are developed and used for high lift multi airfoil design optimization problems,and numerical results are obtained.
USE WEBSITE FOR LITERACY SCIENCE: COULD INCREASE SELF-INDEPENDENT LEARNING FOR STUDENTS IN ELEMENTARY SCHOOL?

The digital age in the pandemic requires self-reliance in learning. Toward to train and develop the character of student self-regulated learning, this website presents a media visualization that can support the improvement of feelings of student independence through science literacy activities. This research aims to develop student independence in elementary school used website media that provides content in science literacy activities. The sample of this study is second-grade students from Pondok Kelapa 04 elementary school, East Jakarta, Indonesia, in the 2020/2021 school year. The results showed that a media site is known as Wetracy (Website for Literacy) influenced the development of the character of independence of second-grade students in science literacy activities. Thus, the study concluded that website media could effectively stimulate student’s self-reliance character in science literacy. keywords: independent character; literacy science; website; elementary school; self-reliance.
Detection of severe fever with thrombocytopenia syndrome virus RNA and total antibodies in wild animals, Jiangsu, China, 2014–2019

Background: Severe fever with thrombocytopenia syndrome (SFTS) is an emerging infectious disease caused by SFTS virus (SFTSV). Currently, SFTS is endemic to some areas in China. Moreover, wild animals are considered to play important roles in the circulation of SFTSV in the environment. Therefore, wild animals monitoring for SFTSV has been fulfilled in Jiangsu Province. Methods: We studied the results of the detection to provide basic data for better diagnosis of wild animals. This research was conducted in Jiangsu Province from 2014 to 2019. Sera of wild animals (rodents, pheasants and hedgehogs) were collected to detect SFTSV both RNA and total antibodies by qRT-PCR and enzyme-linked immunosorbent assay (ELISA). Statistical analysis was performed by using SPSS 25.0. Results: A total of 95.8% (1,298/1,355) of the specimens had the corresponding SFTSV RNA and total antibodies detection results. However, there was a significant difference between the detection rates of SFTSV RNA and total antibodies, and the detection consistency was very poor. The detection rate of SFTSV total antibodies was highest in hedgehogs (19.54%). Conclusions: Hedgehog could be a competent reservoir for SFTSV. Also, SFTSV total antibodies testing was preferred method during wild animals surveillance.
Cortisol in Hair: Do Habitat Fragmentation and Competition with Golden Jackal (Canis aureus) Measurably Affect the Long-Term Physiological Response in European Wildcat (Felis silvestris)?

Measurements of cortisol levels in hair are a non-invasive method to study potential chronic stress that may affect carnivores' welfare. Using hair from 15 frozen and 18 taxidermied road-kill individuals, we aimed to provide information on the long-term physiological response of European wildcats (Felis silvestris silvestris) to habitat fragmentation and potential interspecific competition with golden jackals and red foxes. Our findings revealed that wildcats seemed to be unaffected by habitat fragmentation, suggesting that the facultative specialist behaviour of the species may lead to better toleration of human-altered environments. Red fox presence did not affect cortisol levels. However, significantly higher cortisol levels were measured in hairs of wildcats exposed to golden jackals, suggesting that the potential competition between the two species may lead to an increase in allostatic load in wildcats.
Genomic Analysis of the Glutathione S-Transferase Family in Pear (Pyrus communis) and Functional Identification of PcGST57 in Anthocyanin Accumulation

Anthocyanin accumulation in vacuoles results in red coloration in pear peels. Glutathione S-transferase (GST) proteins have emerged as important regulators of anthocyanin accumulation. Here, a total of 57 PcGST genes were identified in the European pear ‘Bartlett’ (Pyrus communis) through comprehensive genomic analysis. Phylogenetic analysis showed that PcGST genes were divided into 10 subfamilies. The gene structure, chromosomal localization, collinearity relationship, cis-elements in the promoter region, and conserved motifs of PcGST genes were analyzed. Further research indicated that glutamic acid (Glu) can significantly improve anthocyanin accumulation in pear peels. RNA sequencing (RNA-seq) analysis showed that Glu induced the expression of most PcGST genes, among which PcGST57 was most significantly induced. Further phylogenetic analysis indicated that PcGST57 was closely related to GST genes identified in other species, which were involved in anthocyanin accumulation. Transcript analysis indicated that PcGST57 was expressed in various tissues, other than flesh, and associated with peel coloration at different developmental stages. Silencing of PcGST57 by virus-induced gene silencing (VIGS) inhibited the expression of PcGST57 and reduced the anthocyanin content in pear fruit. In contrast, overexpression of PcGST57 improved anthocyanin accumulation. Collectively, our results demonstrated that PcGST57 was involved in anthocyanin accumulation in pear and provided candidate genes for red pear breeding.
Long term trends in the frequency of monsoonal cyclonic disturbances over the north Indian Ocean

Long term trends in the frequencies of cyclonic disturbances (i.e. depressions and cyclonic storms) and the cyclonic storms forming over the Bay of Bengal and the Arabian Sea during the southwest monsoon season (June-September) have been studied utilizing 110 years data from 1890-1999. There have been significant decreasing trends in both the frequencies but the frequency of cyclonic disturbances has diminished at a faster rate. The trend analysis shows that the frequency of cyclonic disturbances has decreased at the rate of about six to seven disturbances per hundred years in the monsoon season. The frequency of cyclonic storms of monsoon season . has decreased at the rate of , one to two cyclones per hundred years.
A Measurement Instrument for Enterprise Architecture Resilience Research: A Pilot Study on Digital Transformation

Enterprise Architecture can contribute positively to enterprise resilience. In this connected dynamic world Enterprise Architecture Resilience is an emergent area of Information Systems research that is characterized through an abundance of conceptual work with little empirical research. To fill this gap, this paper reports on the development and validation of an instrument to measure various resilience attributes and barriers in context to digital transformation in organizations. We advance an extended model for a multi-stage measurement instrument development procedure, which incorporates feedback from both academics and practitioners. We identify two main contributions: First, we provide a validated measurement instrument for the study of Enterprise Architecture Resilience factors in context to digital transformation in organizations, which can be used to assist in further empirical studies that investigate phenomena associated with the enterprise architecture domain. Second, in doing so, we describe in detail a procedural model for developing measurement instruments that ensure high levels of reliability and validity, which may assist fellow scholars in executing their empirical research.
Antioxidant and Anti-inflammatory Activity of γ-Oryzanol Compared to Rice Bran Oil to Repair Ovarian Histological Structure from One Push Transfluthrin Exposure Effect

BACKGROUND: Fertility is affected by both the reproductive organs and external factors (genetics, hormones, radiation exposure, use of insecticides, and nutrition). The histological structure of the ovaries is an indicator of reproductive function. Insect repellent use with pyrethroid active ingredients and its impact on health has become a discussion in the medical sector for years. Disruption of the reproductive system homeostasis may cause several issues, from disruption of ovarian function to infertility. γ-Oryzanol has higher antioxidants than vitamin E. It is found mostly in rice bran oil (RBO). Researchers have investigated the effectiveness of RBO and γ-Oryzanol, but the number of studies focusing on the reproductive system is very limited. Results of in silico showed anti-inflammatory potential, and nitric oxide γ-Oryzanol is stronger than the antioxidant activity. It also showed γ-Oryzanol bond with Foxo3a and Growth Differentiating Factor 9 (GDF9), indicating the γ-Oryzanol potential for reproductive health (women). Studies also reported that γ-Oryzanol administration caused anti-inflammatory and antioxidant activity compared to RBO in improving ovarian physiological function using tumor necrosis factor α (TNF-α) levels, Foxo3a expression, and GDF9 expression exposed to one push transfluthrin as the parameter. AIM: We aimed to investigate antioxidant and anti-inflammatory activity of γ-Oryzanol compared to rice bran oil to repair ovarian histological structure from one push transfluthrin exposure effect. METHODS: Experimental research, post-test only control group design approach, with a completely randomized design, consisted of 6 (six) groups of Wistar strain female rats. They were exposed to one push with the active ingredient of transfluthrin 21.3%, by inhalation for 6 hours, RBO 0.3 mg/g/ body weight (BW)/day, γ-Oryzanol 3.75 ml/g/BW/day. Statistical analysis was done with the Mann Whitney’s posthoc Kruskal Wallis test with IBM SPSS version 25 software. RESULTS: γ-Oryzanol had more potent anti-inflammatory and antioxidant activity than RBO in improving the ovarian histology structure (including maintaining ovarian weight, increasing follicular growth, and suppressing follicular abnormalities) through decreased TNF-α levels and decreased Foxo3a expression, and increased GDF9 expression. CONCLUSION: The administration of γ-Oryzanol improves the ovarian histological structure from free radicals effects, namely exposure to one push of transfluthrin.
Making the Bourgeoisie? Values, Voice, and State-Provided Home Ownership

What are the effects of state-provided home ownership on political values and voice? Home ownership is expected to lead to more conservative attitudes and more political engagement. At the same time, the receipt of government benefits should increase claim making and support for redistribution. We employ two original surveys of 3,000 participants of lotteries used to select beneficiaries for the Minha Casa, Minha Vida housing program in Rio de Janeiro, Brazil, to determine which prediction prevails. We compare winners and nonwinners at two points in the program and find that recent lottery winners—those who have not yet moved—report more conservative values. Early lottery winners, in contrast, are not more conservative but are more politically active than nonwinners. Exploratory analysis and qualitative interviews indicate that winners’ negative experiences of the program’s administration, not necessarily with the housing unit provided, generate this result.
How Large Fraction of A Population Must be Vaccinated before A Disease is Controlled?

The ongoing Covid-19 pandemic has already caused more than 5 million casualties despite hard restrictions and relatively high vaccine coverage in many countries. The crucial question is therefore, how large vaccination rate and how severe restrictions are required to terminate the spread of the decease, assuming that the vaccine efficiency and the basic reproduction ratio (R0) are known? To answer this question, a mathematical equation was applied to visualize the required vaccination level as function of vaccine efficiency, restriction efficiency and basic reproduction ratio (R0). In addition to the modelling study, Covid-19 data from Europe was collected during 19/11-26/11 (2021) to assess the relation between vaccination rate and incidence. The analysis indicates that a vaccination rate of ~92% (2 doses) is required to stop Delta (B.1.617.2) without severe restrictions, under conditions like those in Europe late November 2021. A third vaccine dose, improved vaccines, higher vaccination rates and/or stronger restrictions will be required to force Omicron (B.1.1.529) to expire without infecting a large fraction of the population.
Relations in the Size Variation of Plant Organs: a Case Study of Staghorn Sumac Leaves and Longleaf Pine Cone Scales

Plants automatically control the size variations in organs to achieve efficient exploitation of resources. However, it is unclear whether the scaling relationships of plant organs share a similar character for different individuals under varied micro-conditions (e.g., light and soil water). We conducted a case study of the lengths of staghorn sumac leaves and longleaf pine cone scales to test the relationships. Our results indicated that although there were size variations, there existed power laws of frequency in the lengths of staghorn sumac leaves and longleaf pine cone scales. The exponents differed but were positively correlated with the minimum length of leaves or cone scales. Taylor’s Law existed in the lengths of cone scales and some tree leaves, and scale break was observed. This study provides new information on scaling relationships and self-organization in the patterns of tree parts arrangement. Taylor’s Law may be used to detect minor changes in the growth regime.
Seasonal Differences in the Attenuation of Polar Trace Organics in the Hyporheic Zone of an Urban Stream

Attenuation of trace organic compounds (TrOCs) in a river occurs to a large extent in its hyporheic zone. A major part of the attenuation of polar TrOCs is of microbial origin. As microbial activity depends on temperature and redox conditions, seasonal differences in TrOC attenuation are likely. We investigated TrOC attenuation at a river influenced by treated wastewater during two sampling campaigns, one in summer and one in winter. In addition to redox conditions and temperature, we also determined residence times of porewater in sediment using three methods: (a) non‐parametric deconvolution of electrical conductivity time series, (b) the model VFLUX 2.0 based on temperature time series (only summer), and (c) applying Darcy's law to differences in hydraulic heads (only summer). Contrary to our expectations, we found higher attenuation for 12 out of 18 TrOCs in winter, while three TrOCs were better attenuated in summer. Sediment conditions varied between seasons as more of the top sandy layer with a higher hydraulic permeability accumulated on the river bed in summer. As a result, residence times in the sediment were shorter in summer. In winter, longer residence times, lower temperatures, and a steeper oxygen gradient in sediment coincided with higher TrOC attenuation. Further research is needed to understand our unexpected findings and underlying mechanisms.
Biomass Valorization of Walnut Shell for Liquefaction Efficiency

Globally, lignocellulosic biomass has great potential for industrial production of materials and products, but this resource must be used in an environmentally friendly, socially acceptable and sustainable manner. Wood and agricultural residues such as walnut shells as lignocellulosic biomass are one of the most affordable and important renewable resources in the world, which can partially replace fossil resources. The overall objective of the research is to provide background information that supports new applications of walnut shells in a biorefinery context and to increase the economic value of these non-wood forest products. This paper presents the properties characterization of liquefied biomass according to their chemical composition. All results were compared to liquefied wood. In this study, the liquefaction properties of five different walnut shell particle sizes were determined using glycerol as the liquefaction reagent under defined reaction conditions. The liquefied biomass was characterized for properties such as percentage residue, degree of liquefaction, and hydroxyl OH numbers. The chemical composition of the same biomass was investigated for its influence on the liquefaction properties. Accordingly, the main objective of this study was to determine the liquefaction properties of different particle sizes as a function of their chemical composition, also in comparison with the chemical composition of wood. The study revealed that walnut shell biomass can be effectively liquefied into glycerol using H2SO4 as the catalyst, with liquefaction efficiency ranging from 89.21 to 90.98%.
Interface and surface engineering of black phosphorus: a review for optoelectronic and photonic applications

Since being rediscovered as an emerging 2D material, black phosphorus (BP), with an extraordinary energy structure and unusually strong interlayer interactions, offers new opportunities for optoelectronics and photonics. However, due to the thin atomic body and the ease of degradation with water and oxides, BP is highly sensitive to the surrounding environment. Therefore, high-quality engineering of interfaces and surfaces plays an essential role in BP-based applications. In this review, begun with a review of properties of BP, different strategies of interface and surfaces engineering for high ON-OFF ratio, enhanced optical absorption, and fast optical response are reviewed and highlighted, and recent state-of-the-art advances on optoelectronic and photonic devices are demonstrated. Finally, the opportunities and challenges for future BP-related research are considered.
Labour market protection across space and time: A revised typology and a taxonomy of countries’ trajectories of change

We measure and interpret the evolution of labour market protection across 21 high-income countries over three decades, employing as conceptual foundations the ‘regime varieties’ and ‘trajectories of change’ developed by Esping-Andersen, Estevez-Abe, Hall and Soskice, and Thelen. We measure labour market protection considering four institutional dimensions – employment protection, unemployment protection, income maintenance and activation – and the evolution of the workforce composition. This measurement accounts for the joint evolution of labour market institutions, their complementarities and their relation to outcomes, and mitigate the unrealistic Average Production Worker assumption. We handle the multi-dimensional nature of labour market protection with Principal Component Analysis and capture the characteristics of countries’ trajectories of change with a composite score. We contribute to the literature in three ways. (1) We portray a revised typology that accounts for processes of change between 1990 and 2015, and that clusters regime varieties on the basis of coordination and solidarity levels, that is, Central/Northern European, Southern European, liberal. (2) We illustrate that, despite a persistent gap, a large majority of Coordinated Market Economies experiencing a decline in the level of labour market protection became more similar to Liberal Market Economies. (3) We develop a fivefold taxonomy of countries’ trajectories of change (liberalization, dualization, flexibility, de-dualization and higher protection), showing that these trajectories are not always path-dependent and consistent with regime varieties previously developed in the literature.
An exploration of the consequences of, and coping with loneliness in an ageing intellectual disability population

Background: Loneliness has been associated with increased hypervigilance and sad passivity. The physiological and psychological reactions of people with an intellectual disability to loneliness have never been investigated. Therefore, this research aims to explore the outcomes of loneliness for an ageing intellectual disability population. Methods: In Ireland, data from a nationally representative data set of people aged over 40 years with an intellectual disability (N=317) was applied to a social environment model that describes the effects of loneliness in five pre-disease pathways which are: health behaviours, exposure to stressful life events, coping, health and recuperation. The data was tested through chi-squared, ANCOVA and binary logistic regression. Results: Being lonely predicted raised systolic blood pressure (A.O.R=2.051, p=0.039), sleeping difficulties (AOR=2.526, p=0.002) and confiding in staff (AOR=0.464 p=0.008). Additionally, participants who did 10 to 20 minutes of exercise daily (moderate activity) had significantly higher loneliness scores than those who did not (F=4.171, p<0.05). Conclusions: The analysis supports the concept of hypervigilance in older people with an intellectual disability but finds that the health behaviours of the lonely do not differ from the not lonely. Future research needs to investigate the longitudinal relationships between loneliness and health
EmmDocClassifier: Efficient Multimodal Document Image Classifier for Scarce Data

Document classification is one of the most critical steps in the document analysis pipeline. There are two types of approaches for document classification, known as image-based and multimodal approaches. The image-based document classification approaches are solely based on the inherent visual cues of the document images. In contrast, the multimodal approach co-learns the visual and textual features, and it has proved to be more effective. Nonetheless, these approaches require a huge amount of data. This paper presents a novel approach for document classification that works with a small amount of data and outperforms other approaches. The proposed approach incorporates a hierarchical attention network(HAN) for the textual stream and the EfficientNet-B0 for the image stream. The hierarchical attention network in the textual stream uses the dynamic word embedding through fine-tuned BERT. HAN incorporates both the word level and sentence level features. While the earlier approaches rely on training on a large corpus (RVL-CDIP), we show that our approach works with a small amount of data (Tobacco-3482). To this end, we trained the neural network at Tobacco-3428 from scratch. Thereby, we outperform state-of-the-art by obtaining an accuracy of 90.3%. This results in a relative error reduction rate of 7.9%.