Miracle-dz/UniFAR-FTUs huggingface dataset:
ACTIVATION OF ESTROGEN RECEPTOR ALPHA, ARYL HYDROCARBON RECEPTOR, AND NUCLEAR FACTOR ERYTHROID-2 LIKE 2 IN HUMAN BREAST CANCER CELLS

There is a strong association between estrogen exposure and breast cancer risk. Estrogen can activate estrogen receptor α (ERα) to increase cell proliferation. Estrogen can also be metabolized into genotoxic compounds to induce DNA damage and mutations. Activation of the aryl hydrocarbon receptor (AHR) and nuclear factor erythroid-2 like 2 (NFE2L2; NRF2) can alter the production of genotoxic estrogen. The present thesis investigated the signalling mechanisms of ERα, AHR, and NRF2 and how their interaction might modulate breast cancer risk. In Chapter 2, genome-wide, but promoter-focused analysis of ERα binding sites in T-47D breast cancer cells identified potential cell line specific differences in estrogen signalling between T-47D and the commonly used MCF-7 breast cancer cells. CYP2B6 was identified to be an ERα target gene in T-47D cells but not MCF-7 cells, supporting cell line dependent effect in estrogen signalling. In Chapter 3 and 4, genome-wide analyses of AHR binding sites were performed to investigate the molecular criteria governing genomic AHR transactivation in vivo in mouse and in vitro in MCF-7 breast cancer cells. Our analysis identified 1) the previously established aryl hydrocarbon response element to be an important, but not an absolute
THE SALIVARY BONE SPESIFIC ALKALINE PHOSPHATASE IN RELATION TO PUBERTAL GROWTH PHASE IN INDONESIAN CHILDREN

Objective: To evaluate the level of salivary Bone specific Alkaline Phosphatase (BALP) during the pubertal growth phases in Indonesian Children.Materials and Methods: The study conducted on 64 boys and 72 girls who were age group of 8 â€“ 18 years old were randomly selected. Salivary BALP level was estimated using Enzyme-Linked Immunosorbent Assay (ELISA) commercial kits and pubertal growth phase were assessed using Cervical Vertebral Maturation (CVM) method according to Baccetti. Mean salivary BALP were compared based on pubertal growth groups by Analysis of Variance (ANOVA) test.Results: Test revealed no significant differences between groups with p value 0.312. The highest mean of salivary BALP level was found in the pre peak pubertal growth phase (CVM stage 1-2) and the lowest one was detected in the post peak pubertal growth phase (CVM stage 5-6). Conclusion: The using of salivary BALP as a biomarker for pubertal growth prediction is questionable. Â
Few changes in native Australian alpine plant morphology, despite substantial local climate change

Abstract Rapid evolution is likely to be an important mechanism allowing native species to adapt to changed environmental conditions. Many Northern Hemisphere species have undergone substantial recent changes in phenology and morphology. However, we have little information about how native species in the Southern Hemisphere are responding to climate change. We used herbarium specimens from 21 native alpine plant species in Kosciuszko National Park, Australia, to make over 1,500 measurements of plant size, leaf thickness, leaf mass per area, leaf shape, and leaf size across the last 126 years. Only two out of 21 species (9%) showed significant changes in any of the measured traits. The number of changes we observed was not significantly different to what we would expect by chance alone, based on the number of analyses performed. This lack of change is not attributable to methodology—an earlier study using the same methods found significant changes in 70% of species introduced to southeast Australia. Australia's native alpine plants do not appear to be adapting to changed conditions, and because of the low elevation of Australia's mountains, they do not have much scope for uphill migration. Thus, our findings suggest that Australia's native alpine plants are at even greater risk in the face of future climate change than was previously understood.
An Appropriate Criterion Reveals that Low Pass Filtering Can Improve the Estimation of Counter-movement Jump Height from Force Plate Data

ABSTRACT Inconsistent filtering of force plate data persists in published studies. Previous evidence suggests that low pass filtering produces the largest error when calculating jump height, but used jump height from unfiltered force plate data as the criterion. This study investigated the effects of low pass filtering on jump height calculated from force plate data, using jump height recorded from optical motion capture as the criterion. Unfiltered as well as both single and dual pass filtered data, with cutoff frequencies of 100, 50 and 5 Hz, were used to calculate jump height using take-off velocity (TOV) and take-off velocity summed with displacement (TOV+s). The TOV+s method using the 5 Hz single pass filtered signal, best agreed with the criterion (p < .001). This was accomplished through changes in the force-time signal that decreased velocity and increased displacement at take-off (p < .001). This is contrary to previous recommendations and informs the development of standard procedures.
Exploring supply chain business bullying of small and medium-sized business suppliers by dominant buyers in the apparel retail sector in Gauteng

Background: Issues relating to dominant behaviour and bullying practices in supply chains are mostly not reported. Some evidence exists of unfair business practices in the apparel retail sector, but the extent and nature of such practices in South Africa, as well as the business implications for small and medium-sized enterprises (SMEs), have not been researched. The reason could be the sensitive nature of these issues and possible adverse implications for the SMEs supplying apparel to the retailers in Gauteng. Aim: The primary research objective is to determine the incidence and type of supply chain dominance experienced by SMEs in the retail apparel sector in Gauteng, as well as the business implications of such dominant behaviour and how SMEs cope with it. Setting: The setting for this study was the business premises of SME apparel suppliers in Gauteng. Methods: Qualitative semi-structured in-depth interviews were conducted with seven SMEs that were apparel suppliers to the large retailers in Gauteng, to obtain the supplier perspective. Results: Six of the seven SMEs had experienced some form of bullying behaviour by large retailers in the apparel sector, such as late payments and long payment terms. For some of these SMEs, it had serious financial implications. Meaningful insight is provided into this supplier–buyer relationship between SMEs and large retailers in the apparel sector in Gauteng. Conclusion: This is the first study in South Africa investigating supply chain dominance, in particular supply chain bullying of SME suppliers through unfair business practices by dominant buyers in the apparel sector.
A Study on Intention to Adopt Digital Payment Systems in India : Impact of COVID-19 Pandemic

Digitalization and digital transformations have metamorphized the face of Financial Inclusion globally, more so, in cash obsessed economies like India The purpose of our study is to empirically analyze the users’ intention to adopt digital payment systems, post Demonetisation, during the COVID-19 pandemic in India The conceptual framework for the study is based on the Unified Theory of Acceptance and Use of Technology (UTAUT) adoption model with added operationalized constructs of Perceived Risk and Stickiness to use Cash A total of 326 respondents were surveyed using a pre-tested questionnaire during the Nationwide Lockdown 3 0 in India These responses were analyzed using Partial Least Squares – Structural Equation Modelling (PLS-SEM) technique The findings of the study revealed that performance expectancy and facilitating conditions directly influence the intention of individuals to use digital payment systems, whereas the effect of perceived ease of use on digital payment systems is mediated through the attitude towards the digital payment systems during COVID-19 pandemic situation Implications of the proposed adoption model are discussed This will enable the other developing economies to formulate a digital ecosystem, that is here to stay even after the pandemic 1) © 2021, Asia Pacific Journal of Information Systems All Rights Reserved
Comparison of serum nitric oxide levels with case severity in pre-eclampsia – A case control study

Introduction and Aim: In preeclampsia(PE) due to abnormal trophoblastic invasion of the maternal spiral arteries leads to decreased uteroplacental circulation. Nitric oxide (NO) is involved in regulation offeto-placental vascular permeability and resistance. It also affects maturation, development of the placenta and foetal survival. Maternal serum NO levels are controversial in PEandonly few studies have focused on birth outcomes. Hence, the current study was undertaken to estimate and compare the maternal serum NOlevels in normal pregnant and PE womenandalso see the correlation betweenmaternal serum NO level with severity of PEand to study its association with birth outcome. Materials and Methods:The study was conductedat a tertiary care hospital in North Karnataka, India.Forty singleton primigravida PE patients diagnosed and classified as mild/severePE, as per ACOG guidelines and 40 healthy pregnant were selected for the study. NO was estimated by ELISA method. Results: NO was high in PE cases than controls but it was not statistically significant. But NO was significantly (p=0.03) higher in mild PE than severe PE patients. The NO level negatively correlated significantly (p=0.031) with case severity. Maternal serum NO did not show any significant correlation with birth weight and APGAR score of the new born baby. Conclusion:In mild PE rise in maternal serum NO, may be to due compensatory mechanism to normalise persistently elevated blood pressure and decreased level of serum NO in severe PE may be due to down-regulation of the nitric oxide synthase.
Radial Basis Function Neural Network for Electrochemical Impedance Prediction at Presence of Corrosion Inhibitor

Simulation and preparing predictive model of electrochemical impedance Nyquist plots based on radial basis function neural network (RBFNN) are presented in this paper. The RBFNN as a powerful predictive system predicts the real and imaginary parts of impedance as a function of time, temperature and inhibitor concentration. The mean R value of 0.9996 as regression coefficient and mean square error (MSE) value of 1.72 × 10 −3 as results show the validity of proposed method for simulation and prediction of electrochemical impedance spectroscopy (EIS) in different environmental situations.
Research agenda: Researching grammar teaching and learning in the second language classroom

Abstract We propose five research tasks targeting grammar teaching and learning, focusing on extending previous research and exploring under-studied features and contexts. The first two tasks outline replications and extensions of seminal studies on pedagogical grammar, Toth (2008) and Samuda (2001), designed to advance our understanding of the teacher role in providing rich practice opportunities. Another task examines how features of peer interaction during oral communication might encourage attention to grammar among young second language (L2) classroom learners in school-based foreign language programs, a common yet under-studied context. A fourth task investigates the unique properties of spoken grammar across languages and effective approaches for its teaching and learning, and the fifth explores the (re)design and use of corpus-based tools to enhance accessibility and learner autonomy in data-driven grammar learning. Each task is designed to be feasible across a variety of classroom contexts and target languages. We highlight concrete implications for language pedagogy and include suggestions for capturing both learning outcomes and participants’ perspectives on their learning and teaching, using a range of quantitative and qualitative methodologies. We end with some thoughts on repetitive practice for learning certain features of grammar, and recommendations for collaborative research that would encourage greater replication of future studies.
To Blame or to Support? Large-scale Insurgent Attacks on Civilians and Public Trust in State Institutions

While there is a substantial body of literature on the consequences of terror attacks on public attitudes toward state institutions in Western democracies, little is known about the impact that such events have in the context of armed conflict. We address this gap by exploring the attitudinal effects of a 2012 Taliban attack on civilians in Kabul City, Afghanistan. We test two competing hypotheses: the “rally-effect” hypothesis according to which individuals increase their trust in incumbent institutions in the aftermath of violent attacks and the “accountability” hypothesis according to which individuals punish state institutions for their inability to provide security by withdrawing trust. Leveraging a quasi-experiment that compares individuals interviewed before the attack to individuals interviewed thereafter, we find that the attack—in line with the rally-effect hypothesis—increased trust in several state institutions among residents of Kabul City.
The m6A methyltransferase METTL3 regulates autophagy and sensitivity to cisplatin by targeting ATG5 in seminoma

Background Our previous work shows Autophagy enhanced resistance to cisplatin in seminoma. The expression of the N6-methyladenosine (m6A) methyltransferases METTL3 was significantly increased in the cisplatin-resistant TCam-2 cell line of seminoma. We aimed to investigate the role of m6A methylation in autophagy and the chemosensitivity of seminoma cells. Methods Plasmid and siRNA were used to overexpress and knockdown METTL3. Autophagy was detected by western blot and immunofluorescence, respectively. The expression of downstream targets of METTL3 was detected by quantitative real-time PCR (qRT-PCR) and western blot, and the m6A level of them was detected by MeRIP-qPCR. Chemosensitivity of the TCam-2 cell line was identified through MTT assay. Results Upon METTL3 overexpression, autophagy of TCam-2 cell line was enhanced and its sensitivity to cisplatin was decreased. The use of autophagy inhibitors 3-methyladenine (3-MA) could reverse the protective effect of METTL3 on TCam-2 cells. We found that the up-regulation of METTL3 could increase the m6A modification level of ATG5 transcript, thus increased expression of ATG5. Moreover, knockdown of ATG5 reduced METTL3-induced autophagy, suggesting that ATG5 was a potential target for METTL3 to promote autophagy. Conclusions In summary, our research unveiled the unique mechanism by which m6A methylation regulates autophagy and chemosensitivity of the TCam-2 cell line and METTL3 was a potential target to overcome the cisplatin resistance of seminoma.
Characteristics of Hydrogen‐rich Coals in Southern China: Implications from Organic Geochemistry and Carbon Isotopic Compositions

The organic geochemical characteristics of hydrogen‐rich coal in southern China were investigated synthetically through organic geochemistry and carbon isotope analyses. The results showed that the hydrogen contents of the test samples were more than 5.0% and the H/C atomic ratios were between 0.76–1.06. Samples were found to be composed mostly of Type II‐III kerogen, consistent with good hydrocarbon‐generation potential. The Ro (0.54–1.10%) and Tmax (430–453°C) values imply that the hydrogen‐rich coals were in low maturity to mature stages. Stable carbon isotopic ratios (δ13Corg) of the samples used varied from –24.5‰ to –23.4‰, the barkinite content ranging from 13.9% to 83.3%, indicating a predominantly terrestrial origin with marine influence during coal formation. Some organic geochemical parameters showed corresponding changes as the hydrogen content increased from 5.0% to 7.0%, however, the source inputs changed significantly when hydrogen content was greater than 6.0%. Terrestrial higher plants gradually become predominant within the coal‐forming materials, whereas this dominant position is not apparent at lower hydrogen contents, which is attributable to the strong seawater effect during the hydrogen‐rich coal formation process.
Spatio-Temporal Dynamic of Land Use and Land Cover in Andit Tid Watershed, Wet Frost/Afro-Alpine Highland of Ethiopia

Spatial and temporal dynamics of land use/land covers (LULC) are the results of human activities and population growth. The LULC change is caused by both, natural and anthropogenic factors. The objective of this study was to detect LULC changes in Andit Tid watershed. The study has used ArcGIS 10.5 and Landsat images of 1984, 1996, 2008, and 2017 to see LULC changes of Andit Tid watershed. The result indicated that the plantation forest and cultivated land have been increased by 41.94 ha and 33.39 ha, respectively from 1984 to 2017 due to the population increase and improper agricultural activity. On the other hand, the bushland and grassland coverage has been decreased by -7.29 and -67.95 ha, between the study periods respectively. This shows the tempo-spatial dynamic conditions of LULC change in the study watershed. The change of LULC was related mainly to anthropogenic factors such rapid population growth which consequence high demand land for cultivation practices, settlement and grazing land. Thus, attention must give to increase of intensified agricultural activities that increase land productivity to satisfy the ever-increasing demand of cultivated land of high population in the study watershed. A further search on the impact of these LULC changes on the livelihood and ecosystem services is recommended.
Total seismic analysis of slope considering logarithmic spiral failure surface

ABSTRACT Stability analysis of earth slope is important for the design of slopes in earthquake-prone areas. This paper presents a seismic analysis of c-ϕ soil slope considering the effect of the Rayleigh wave along with primary and shear waves considering all the boundary conditions including a zero-stress boundary condition at the ground surface. The failure surface is assumed as a logarithmic failure surface and the present analysis is conducted using the limit equilibrium method. A two-dimensional numerical model is developed using PLAXIS 2D to validate the analytical model. The results obtained from present analytical and numerical solutions are compared with the results of the available literature. Further, a parametric study is also carried out to highlight the effect of various soil and seismic parameters on the stability of the slope. The present results are more critical for the evaluation of slope stability by incorporating all major seismic waves and non-linear failure surfaces.
Effect of different insecticides molecules as poison bait against Spodoptera litura (Fab.) in groundnut

The laboratory study was conducted during 2013-14, at the University of Agricultural Sciences, Raichur to evaluate the new insecticide molecules as poison bait against Spodoptera litura (Fab.) in groundnut. Two sets of insecticides (Set-1: lambda cyhalothrin 5 EC, profenofos 50 EC, chlorpyriphos 20 EC, novaluron 10 EC, methoxyfenozide 20 SC; Set- 2: indoxacarb 14.5 SC, chlorfenapyr 10 SC, fipronil 5 SC, spinosad 45 SC and chlorantraniliprole 18.5 SC) along with the standard insecticidal check monocrotophos 36 SL were tested in the poison baits, at levels higher and lower than their recommended dosages for spray in the field. In each set four concentrations of five insecticide molecules were studied. The results revealed that chlorfenapyr 10 SC at all four dosages (100, 75, 50 and 25 per cent of recommended dosage) recorded cent per cent mortality and was significantly superior over all other treatments at 72 hours after exposure of larvae to the baits followed by chlorpyriphos 20 EC, monocrotophos 36 SL and profenofos 50 EC.
Academic Resilience and Engagement in High School Students: The Mediating Role of Perceived Teacher Emotional Support

Academic resilience is the ability to overcome setbacks and chronic difficulties in the academic context. Previous studies have found that resilient students tend to be more engaged in school than their counterparts. Nevertheless, it seems worth deepening the role of contextual factors, such as teacher emotional support and how students perceive it, as it could contribute to foster the abovementioned relationship. The present study aimed to examine the links between academic resilience, perceived teacher emotional support, and school engagement. Moreover, the mediating role of perceived teacher emotional support was investigated. A sample of 205 Italian high school students (58.5% female), aged 14–19 years (M = 16.15, SD = 1.59), completed self-report questionnaires on academic resilience, perceived teacher emotional support, and school engagement. A structural equation model (SEM) was used to test the mediation hypothesis. The results showed that academic resilience was associated with perceived teacher emotional support, and both of them were related to school engagement. Furthermore, perceived teacher emotional support partially mediated the relationship between academic resilience and school engagement. Findings were discussed by underlining the importance of fostering personal and contextual resources in the school context to promote students’ well-being.
The Online Shopping Behavior of Indonesian Generation X

E-commerce is one of the information technologies that influence consumer behavior. Generation X is characterized by a higher internet adoption rate than the previous generation. As digital immigrants, this generation behavior toward using e-commerce is an interesting phenomenon to be studied. Thus, this study aims to examine the acceptance and use of e-commerce among Generation X using Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) theory. The research sample was 369 Generation X respondents in Indonesia who used e-commerce and were selected using purposive sampling. The questionnaires were distributed online and then analyzed using structural equation modeling. The findings showed that Generation X acceptance towards e-commerce were influenced by performance expectancy, hedonic motivation, habit, price value, and behavior intention. In contrast, effort expectancy, facilitating condition, and social influences) were not found to be the predictor that influenced Generation X to use e-commerce. This paper offers valuable insights for e-commerce founders in the development and refinement of e-commerce platforms.
Inequality in online job searching in the age of social media

ABSTRACT As hiring processes have increasingly moved online, having better digital skills could play an important role in successful job seeking. However, digital inequality suggests that people use the Internet in different ways with varying levels of skills raising questions about who is most likely to be able to search for jobs online, including on social media. This paper examines online job searching, including the role of digital job-search skills in the process. Results show that sociodemographic characteristics (i.e., age, race, education, and income) as well as online experiences, being a social media user, and having higher digital job-search skills relate to online job-seeking behaviors. These findings highlight the presence of digital inequalities in online job searching including differences by social media experiences.