Miracle-dz/UniFAR-FTUs huggingface dataset:
Selection criteria for yield in safflower (Charthamus tinctorius L.) genotypes under rainfed conditions

This research was conducted on 20 safflower genotypes and lasted 3 years (2014-2016) in the Central Anatolia Region of Turkey. The experiments were conducted in randomized block design with four replications. The relationships among yield 9 other traits in safflower genotypes were investigated. As the average of three years, the greatest seed yield (SY) was obtained from genotype G5 (PI 451952) with 3156.3 kg·ha-1. It was followed by genotypes G4 (PI 525458) and G9 (PI 306686) with 3013.2 and 2977.1 kg·ha-1, respectively. Among the standard cultivars, the greatest seed yield (2750.4 kg·ha-1) was obtained from the Dinçer cultivar. The greatest oil content (OC) was obtained from the genotype G11 (PI 537665) with 36.5%. It was followed by the genotypes G9 (PI 306686) (35.4%), G6 (PI 537598) (35.4%) and G14 (PI 560169) (35.3%). Oil contents varied between 29.1-36.5%. Yield-trait relationships were assessed through both correlation analysis and GT (Genotype by Trait) biplot analysis. Based on the results of the two approaches, plant height (PH), number of branches (NB), number of heads (NH) and thousand-seed weight (TSW) were identified as the most significant selection criteria for yield from safflower. The combined use of correlation and biplot analysis in the assessment of relationships among the traits improved the chance for success.
What has become of the Indignados? The biographical consequences of participation in the 15M movement in Madrid (2011–19)

ABSTRACT This article examines the biographical consequences of participation in 15 M by following the trajectories, from May 2011 to November 2019, of individuals who took part in the movement in Madrid. Based on a field study combining observations and repeat interviews, this follow-up of the trajectories of forty Indignados (22 in the period 2013–15 and 18 to 2019) reveals considerable biographical impacts on both representations and individual practices in the political, personal and professional spheres. These impacts were particularly salient among those who had experienced biographical disruptions, whether in relation to political socialization or a drop in social status, and those who had mobilized in an intense and lasting way. However, 15 M had also had a profound influence on the biographies of those with an activist background and those who had been less involved in the movement. This microsociological approach gives us a better understanding of the biographical trajectories of the Indignados and provides an account of the transformations in collective action in Madrid over the past ten years. The main legacy of 15 M is therefore that it created a new generation of activists who are now involved in a multitude of activist microspheres and institutional settings.
Improving Rumor Detection by Promoting Information Campaigns With Transformer-Based Generative Adversarial Learning

Rumors can cause devastating consequences to individuals and our society. Analysis shows that the widespread of rumors typically results from deliberate promotion of information with unknown veracity aiming to shape the collective public opinions on the concerned news event. In this paper, we attempt to combat such chaotic phenomenon with a countermeasure by mirroring against how such chaos is created in order to make automatic rumor detection more robust and effective. Our idea is inspired by adversarial learning method originated from Generative Adversarial Networks (GAN). We propose a GAN-style approach, where a generator is designed to produce uncertain or conflicting voices, further polarizing the original conversation threads with the intention of pressurizing the discriminator to learn stronger rumor indicative features from the augmented, more challenging examples. We reveal that feature learning effectiveness is highly relevant to the quality of generated parody, viz., how hard it is to get distinguished from real posts. Given the strong natural language generation performance of transformer, we propose a transformer-based method to improve the generated posts, so that they appear to be closely responsive to the source post and retain the authentic propagation structure and context of information. Different from traditional data-driven approach to rumor detection, our method can capture low-frequency but more salient non-trivial discriminant patterns via adversarial training. Extensive experiments on THREE benchmark datasets demonstrate that our rumor detection methods and the transformer-based model achieve much better results than state-of-the-art methods.
Utilising Bacchi's what's the problem represented to be? (WPR) approach to analyse national school exclusion policy in England and Scotland: a worked example

ABSTRACT This paper examines and compares national policies on school exclusion, using a specific framework for public policy analysis developed by Carol Bacchi [(2009). Analysing policy: What’s the problem represented to be? Frenchs Forest: Pearson]. This framework is known as ‘What’s the problem represented to be? ’ or ‘WPR’. Bacchi’s framework has been applied to areas of policy as diverse as health care, labour markets, immigration and higher education, but its use in school-based education has been much more limited to date. Noting too, that the WPR framework itself is rarely interrogated or critiqued in the literature, our small-scale study therefore addresses two main objectives: (a) to offer an illustration, a worked example, of WPR in education as a contribution to methodological debate, and (b) to critically appraise the WPR approach, and its potential to acknowledge, challenge and disrupt normalising discourses within one key area of school-based policy – school exclusion.
Perceived Changes in Family Life During COVID‐19: The Role of Family Size

Objective The current study was aimed at exploring Italian parents' perceived negative and positive changes in family life during the COVID‐19 pandemic, taking into account the role of the stage of the family life and family size. Background During the emergency of the COVID‐19 pandemic, millions of families drastically changed their daily life and routines. Little evidence exists on how family characteristics, such as family size or presence of children, are related to families' experience of family change. Method A large sample of 1,407 Italian parents (70.1% mothers) filled in an anonymous online survey during the third week of the lockdown period (between March 30 and April 7, 2020). Results Results showed that parents reported perceiving more positive changes than negative ones, especially in terms of feeling more emotionally close to their children and spending more fun time with them. Interestingly, parents with two or more children reported more positive changes in family life compared with parents who had one child, showing a greater relational regenerative capacity in the face of COVID‐19 lockdown. Conclusion and Implications Investing in family relationships, especially for larger families, is an effective coping strategy to deal with traumatic situations and promote positive family changes in stressful situations.
Does Diversity in The Boardroom Add Value to a Firm?

This study examines whether board diversity affects firm performance. We investigate this study using panel data of a sample of S&P 500 firms during a 12 year period. After controlling for industry, firm size, and other board composition variables, we find that all three board diversity variables of interest – gender, ethnicity, and age have a significant influence on firm performance. While ethnicity and age have a positive influence on firm performance, it was found that gender has a negative influence. Implications for future research are discussed.
Quality of Life Measurement for Vitiligo: Is It Important?

Introduction: Vitiligo is a chronic skin disease characterized by skin depigmentation caused by melanocytes destruction. Vitiligo could be considered as a psychosomatic disorder, which means physical and psychological factors concomitantly are involved in appearance, progression, relapse and remission of vitiligo. Vitiligo has a remarkable impact on patient’s Quality of Life (QoL). Case: A 20-years-old girl, initially presented with milky white patches in the back of her neck and right shoulder since 5 years ago. There was no itch, pain or anesthesia. There was no family history of this disease or other autoimmune diseases. She suffers a psychological stress caused by her vitiligo and she has a low self-esteem, embarrassment and anxiety. From dermatological examination, on the colli posterior and acromial dextra there was depigmentation macules, numular-plaque sized, circrumscribed and leucotrichia in colli posterior. SkinDex-29 score showed a severe impact in patient’s QoL. The patient treated with tacrolimus 0.1% ointment and had an improvement both in lesions and QoL. Discussion: Measuring the QoL is important in the management of vitiligo patient. QoL can be measured with QoL indexes, such as SkinDex-29 that evaluate three domains: symptoms, psychosocial and emotional status. Establishing a good doctor–patient relationship to multidisciplinary approach for the patient’s compliance and a better outcome of the treatment. Conclusion: Vitiligo has devastating psychosocial effects that have great impacts on the patient’s quality of life. Holistic approach is important to manage vitiligo patient, not only for treated the clinical aspect but also evaluate the QoL of the patient from time to time.
Potential Effect of Avena Sativa’s Cream on Skin Hydration

: Skin dryness or xerosis is an aging process commonly found in the tropical country especially Indonesia. The process is related to the decrease of skin hydration and the increase of the level of the radical compound known as oxidative stress. This study aims to assess the effectivity of Avena sativa cream formulation in improving skin hydration. The study included a total of 40 female patients with xerosis. The patients were treated with Avena sativa cream with various concentrations for 28 days. Results showed a significant improvement (p < 0.05) with an increase in the mean difference in dryness scores from baseline to the end of each treatment interval of 28 days. Cream formulation of Avena sativa extract is proven to improve skin hydration.
Using Telecare to Treat Opioid Use Disorder: An Ethnographic Study in New York During COVID-19

This paper presents an in-person and digital ethnography of people in New York State who use drugs and seek treatment for opioid use disorder (OUD) using phone or video connection to receive healthcare (telecare) including interviews prior to and during the COVID-19 pandemic. This article leverages a Feminist and Science and Technology Studies (STS) approach to elucidate how the framing of the opioid crisis shapes the interconnections that are discernable, providing a heuristic to understand the increased rates of deaths due to drug overdose during the pandemic. The narratives of people seeking treatment are analyzed through the theoretical lenses of Nelly Oudshoorn’s concept of the technogeography of care, Nancy Campbell’s concept of technologies of suspicion, and Nancy Fraser’s analysis of the US juridical-administrative-therapeutic in/justice system. This paper traces and problematizes how telecare contributes to redefining the experience of familiar places, such as home, into spaces of both care and surveillance, and how the technology of telecare presents both affordances and foreclosures to accessing care as people struggle to conform with its requirements in order to receive care. Key findings are, (1) the significance of hugs and tactile connection that is sorely missed by people using telecare for group therapy, (2) the critical importance of proximity to in-person services even while using telecare, (3) the resistance strategies of telecare users to surveillance mechanisms, and (4) the continued stigmatization of drug use and treatment acts as a key barrier to people who are striving to produce the identity of a patient who is clinically stable for take-home medication.
How can new energy vehicles affect air quality in China?— From the perspective of crude oil price

From the perspective of crude oil price, this paper investigates the effects of new energy vehicles on air quality by applying a time-varying parameter–stochastic volatility–vector autoregression model. NEVs benefits from the continuous adjustment and improvement of subsidy standards by the Chinese government, and the share of new energy vehicles in the market has been continuously improved. The empirical results show that the increase in new energy vehicles can reduce PM2.5 emissions, which is also consistent with the energy and environment theoretical model, and replacing traditional energy with new energy is helpful for controlling environmental pollution. Oil price has a direct negative impact on PM2.5 concentration, and the influence of new energy vehicles on air quality is also regulated by changes in oil price. A high oil price leads to an increase in driving costs, and consumers are more inclined to purchase new energy vehicles, which achieves the purpose of improving air quality to a certain extent. To improve the air quality, the relevant departments should adjust the subsidy policy of new energy vehicles according to the change in oil price and appropriately increase gasoline or diesel consumption taxes to provide development space for the new energy vehicle market.
Potential of Clumped Isotopes in Constraining the Global Atmospheric Methane Budget

Atmospheric methane (CH4) and its isotopic composition trends over the last decades are explained by various flux scenarios, from tropical wetland emission increases through to reductions in global hydroxyl (OH). In this study, we develop a modeling framework to assess the potential usefulness of clumped isotope measurements to distinguish between the main drivers of change in the CH4 burden. We model interhemispheric differences of 0.12‰ and 0.38‰ and seasonal cycles of 0.02‰–0.04‰ and 0.21‰–0.32‰ for Δ13CH3D and Δ12CH2D2, respectively, which is insignificant relative to the uncertainty of measurements that could eventually be made. We show, however, that measurements of Δ12CH2D2 specifically could provide constraints for understanding trends in the global total source and sink magnitudes, which has not been possible with the current sets of observables. Changes in OH concentration of 10% developed across three decades result in a difference of up to 2‰ in Δ12CH2D2, which would be observable given current measurement uncertainty limits. For this type of global‐scale analysis, we show that measurements of Δ13CH3D would be unlikely to provide additional useful information. We suggest an emphasis should now be on developing the methods to make measurements from ambient air samples, followed by measurements of Δ13CH3D and Δ12CH2D2 from sampling at clean Northern and Southern Hemisphere sites, combined with more accurate and precise laboratory measurements of the clumped kinetic isotope effects relevant for the atmospheric sinks.
Calibrating Trilobatus sacculifer Na/Ca Ratios From Atlantic Core‐Tops as a Proxy for Sea Surface Salinity

Recent studies found a positive correlation between seawater salinity and Na/Ca ratios in foraminiferal calcite, suggesting a potential new paleosalinity proxy (Bertlich et al., 2018, https://doi.org/10.5194/bg-15-5991-2018; Hauzer et al., 2021, https://doi.org/10.1029/2021pa004218; Mezger et al., 2016, https://doi.org/10.1002/2016pa003052; Wit et al., 2013). To test this new proxy in an open‐ocean setting, Na/Ca ratios from the surface‐dwelling planktic foraminifera Trilobatus sacculifer were measured from a suite of nine sediment core‐tops spanning from the North Atlantic subtropical gyre to the South Atlantic subtropical gyre across a salinity range of 1.6. Results show a positive correlation between habitat salinity (HS) and T. sacculifer Na/Ca (Na/Ca (mmol/mol) = 0.516 (HS (±0.17)) – 12.934; R2 = 0.81, p < 0.005). We also find no relationship between T. sacculifer Na/Ca and sample size or habitat temperature, indicating Na/Ca is predominantly controlled by salinity. Additionally, we generate the first downcore record of sea surface salinity (SSS) in the Florida Straits over the last deglaciation based on T. sacculifer Na/Ca variability. Results show agreement between our Na/Ca record and a previously published deglacial δ18Osw record that is also thought to reflect SSS variability from the same core (Schmidt & Lynch‐Stieglitz, 2011, https://doi.org/10.1029/2011PA002157). Both records indicate an abrupt increase in SSS during the Younger Dryas (11.7–12.9 kyr). Converting the Florida Straits T. sacculifer Na/Ca ratios to SSS using our new Atlantic core‐top calibration indicates a maximum salinity change of ∼2.2 across the last deglaciation, in agreement with modeling study estimates of salinity change across this period.
Relationship between Environmental Factors and Rheumatic Heart Disease

Background. Rheumatic fever (RF) and rheumatic heart disease (RHD) are the most common acquired heart diseases in children. Environmental factors have been reported to play an important role in RHD’s prevalence Aim. The main purpose of this study is to assess the associations between environmental factors and RHD in children. Methods. A case control study was conducted in the Department of Child Health, Haji Adam Malik Hospital from April to June 2017. The case group consisted of children aged 5-18 years with RHD while control group consisted of healthy children. Demographic, anthropometric, and laboratory data were collected along with environmental factors. Statistical analysis was done using Statistical Product and Service Solution (SPSS). A P value of <0,05 with 95% confidence interval was considered significant. Results. A total of 39 children were enrolled in each group. Subjects’ father who only went to elementary and junior high school had a higher risk of having children with RHD (OR 28; p = 0.032 and OR 15.75; p = 0.011, respectively). Subjects’ mother who only went to junior high school had 7 times higher risk of having children with RHD (p = 0.026). Low monthly income increased the risk of RHD (OR 3,68; p = 0,009). Tap water usage, meat consumption more than once per week, and feasibility to buy clothes >1 pair per year decreased the risk of RHD at 0,31 (p = 0,013), 0,3 (p = 0,016), and 0,04 times (p <0,001) respectively. Conclusion. Parent’s education, monthly family income, water source, frequency of meat consumption, and feasibility to buy clothes are related to RHD in children.
Rutherford Backscattering Spectrometry (RBS) method for the Determination of Elemental Constituent of Tropical Wood Matrices from Western Nigeria

The elemental composition analysis and its concentration levels in percentage were done on several wood samples using Rutherford Backscattering Spectrometry (RBS) of Ion Beam Analytical (IBA) methods. A total of twenty seven (15) tropical hardwoods from south western Nigerian environment were analyzed and six (6) major elements (C, O, N, Na, S, Cl) were identified. Carbon has the highest percentage constituents, ranging from 58.30% to 73.46%, in all the samples with sample 4 (Albizia gummifera) having the highest concentration of carbon as 73.46% and sample 7 (Anadelphia afzeliana) having the least carbon quantity as 58.30%. Nitrogen N ranged from 1.21% - 7.76%, Oxygen O 17.96% - 34.83%, Sodium Na 0.36% - 1.08%, Chlorine Cl 0.11% - 0.46%, and Sulfur S 0.13% to 0.59%. C was above the overall wood estimated constituent 50%, O below estimated value of 40%. Cl and S were within estimated range as trace element percentage range. The variation in elemental composition of wood used in the experiment shows that wood species have thesame elemental compositional trend as some human tissues and could be harness for use as tissues equivalent material for application in medical radiation dosimetry.
A Novel Therapeutic Approach in Acute Promyelocytic Leukemia with All-trans retinoic Acid and Cyclin-dependent Kinase Inhibitors

DOI: 10.2174/2212697X05666180713164713 Abstract: Background: Acute promyelocytic leukemia (APL) is characterized by chromosomal translocations, which generate fusion oncogenic proteins. In 95% of cases, in frame fusion of the RARα gene to the PML gene, gives rise to the PML-RARα chimeric gene in patients with t(15;17)q22;q21. In addition, in 99% of cases, APL cells also express the germ cell-specific Cyclin A1 protein, which has been shown to contribute to APL-like disease in mouse models. Re-localization and degradation of PML-RARα with pharmacologic levels of all-trans retinoic acid (ATRA) may cause serious side effects such as the development of myelodysplastic syndrome, cutaneous T-cell lymphoma and skin cancers. Here, we exploit the expression of cyclin A1 and of the fusion protein and show that combined, sub-pharmacologic doses of ATRA and cyclin-dependent kinase inhibitors are more efficacious than either agent alone at inducing etc at inducing APL cell differentiation. Methods: Cultured NB4 APL cells were used to compare the degree of differentiation by ATRA and olomoucine or roscovitine, two cyclin-dependent kinase inhibitors alone or in combination. Differentiation was monitored with the NBT reaction, quantitation of proliferation and monitoring the levels of CDK4, PML-RARα and C/EBP proteins using immunoblots. Results: ATRA or roscovitine alone are effective at inducing inhibition of proliferation and differentiation at pharmacologic levels whereas olomoucine alone is not. In contrast, the combined use of sub-pharmacologic doses of ATRA with either olomoucine or roscovitine is more effective at inhibiting APL cell proliferation than ATRA, olomoucine or roscovitine alone with implications for the treatment of APL. Conclusion: We demonstrate that in NB4 cells, the combination of ATRA/ olomoucine or ATRA/roscovitine leads to more potent differentiation accompanied by a reduction in CDK4 protein levels, decreased degradation of the fusion protein and up-regulation of the transcription factor C/EBPε.
Hospital Readmission in Patients With COVID-19

Objective: During the COVID-19 pandemic, the demand for hospital beds has exceeded substantially. Thus, we aimed to conduct this study to identify factors associated with the risk of readmission in order to introduce the best discharge plan for patients with high risk of hospital readmission. Method: This is a multicenter, case-control study included 1357 patients hospitalized with COVID-19 infection. Age-sex-matched case and control groups were paired at 1:2 ratios. COVID-19 readmission rate was assessed. Moreover, Logistic regression analysis was applied to determine the factors associated with readmission. Results: Of the 1357 patients, 99 (7.29%) subjects were readmitted. The most common cause of readmission was respiratory distress. The median (IQR) of the interval between hospital discharge and the second admission was 5 (2-16) days. Upon adjusting with the main risk factors, having at least one underlying disease and being treated with the corticosteroid (GC) were significantly associated with a higher rate of readmission (OR: 2.76, 95% CI :1.30- 5.87) and (OR:8.24, 95% CI :3.72- 18.22), respectively.Conclusion: Identification of Risk factors of COVID 19 readmission will improve resource utilization and patient care.