Miracle-dz/UniFAR-FTUs huggingface dataset:
Bioequivalence/bioavailability study of a new formulation of imatinib mesylate 100 mg coated tablets versus Glivec® in Brazilian healthy male volunteers in fed state

Introduction: Imatinib mesylate is currently the first-line oral treatment for all stages of chronic myeloid leukemia (CML) and is also used in some cases of gastrointestinal stromal tumor (GIST) and acute lymphoblastic leukemia (ALL). Objective: Investigate the bioavailability of two products containing imatinib mesylate, 100 mg coated tablet, to determine if they are bioequivalent. Method:The study was conducted using an open-label, randomized, balanced design and the formulations were administered orally in a single dose to 48 healthy adult males, in fed state, followed by sequential blood withdraws for the next 72 hours. Forty-eight male healthy volunteers were selected to participate in the study. Test formulation from Eurofarma Laboratórios S.A. Brazil was compared to that from Novartis Biociências S.A. The comparative bioavailability of the formulations was assessed based on statistical comparisons of relevant pharmacokinetic parameters obtained from drug concentration data from collected blood samples measured using an analytical method based on high-performance liquid chromatography coupled to mass spectrometry. Results: The ratio of the geometric means between the test and the reference, with a 90% confidence interval, of pharmacokinetic parameters for Cmax was 102.26% (94.17-111.04%) and for AUC0-t was 101.24% (95.19-107.68%). Conclusion: Imatinib mesylate 100 mg (test product) from Eurofarma Laboratórios S.A. was considered bioequivalent to the reference Glivec® 100 mg manufactured by Novartis Biociências S.A, and the test product can be interchangeable with the reference, based on their pharmacokinetic performance.
Identification of extent, topographic characteristics and land abandonment process of vineyard terraces in the Tokaj-Hegyalja wine region between 1784 and 2010

ABSTRACT The terracing of vineyards has been a centuries-old traditional land use type in the Tokaj-Hegyalja region (887 km2). However, most of them have since been abandoned and are occupied by dense vegetation. In this study, we mapped the spatial extent of vineyard terraces, based on aerial photos. We classified the terraced fields, considering their topographic characteristics as assessed by topographic factors (slope, exposure and elevation) and the process of abandonment between 1784 and 2010 using historical and contemporary land use maps. Based on the overall map of vineyard abandonment (scale: 1:120,000), the process of the abandonment of terraces can be divided into six consecutive time intervals (1784–1858, 1858–1884, 1884–1940, 1940–1969, 1969–1989 and 1989–2010). Vineyard terraces were found on 590 ha, which were concentrated on hillsides steeper than 17%, on southwestern, southern and southeastern exposures, and lying between 150 and 500 m a.s. l. In the period between 1884 and 1989, 77.8% of the terraces were abandoned, with a particularly intense period of abandonment between 1940 and 1969, which saw a 31.1% decrease in the extent of cultivated terraces.
A Study on the Teaching Model of Cross Culture and Speculation on EFL Writing

Under the background of post critical pedagogy, teachers should pay attachment to the awakening of students’ self-identity consciousness and the cultivation of critical thinking skills. The teaching model of writing course adopted by the author is as follows: firstly, the writing course is equipped with a dedicated reading manual. It is compiled to establish cultural reading materials which include 12 theme reading passages to introduce Chinese and American culture and 12 writing sharing to promote identity thinking based on the relevant theories of Constructivism and Output Hypothesis by using the Flesch Kincaid Readability Test. The teaching process emphasizes the integration of students’ vertical and horizontal knowledge. Referring to the Knowledge Transformation Model of Writing proposed by Bereiter and Scardamalia, the teaching model vertically emphasizes the integration of pre-class cultural reading, in-class skill training, and post-class thinking reinforcement; it horizontally emphasizes on the integration with reading courses, cultural courses, and speculative courses. Overall, the model stresses the cultivation of cross-cultural communication skills. It emphasizes understanding oneself and the other and stimulates students’ writing interest in cultural reading; it emphasizes that the other is for my own use and enrich students’ cultural illustrations in skill training; it emphasizes that I see the world and reflect on my own learning, life, and social hotpots in theme writing. In short, the author actively explores “playing” with learning, “stealing” with learning, and “using” in learning.
Impact of Climate Change on Yield of Major Food Crops in Tamil Nadu, India

This study uses panel data for 39 years and 13 districts to estimate the yield sensitivity of major food crops to climate change in the South Indian state of Tamil Nadu. It first estimated the marginal impacts of climate variables on crop yield using Panel Corrected Standard Error (PCSE) models. These estimates are then used to identify yield sensitivities in the future based on projected climate variables from the Regional Climate Model version 4 (RegCM4). Empirical results show a quadratic (inverted U shaped) relationship between rice and sorghum yield and climate variables. As temperature and rainfall increase, crop yield initially increases up to a threshold level, and then decreases. Following the RegCM4 projections that observed warming and anomalies in rainfall will continue, this could result in a significant loss in crop productivity. Projections suggest that there may be a 10 percent decline in rice yield and 9 percent decline in sorghum yield by the end of the 21st century relative to average yields during 1971-2009. This indicates a need for new seed varieties that are less sensitive to rainfall and temperature thresholds, and, adaptation practices such as adjustments in sowing time
Bubble Size Determination in a Half-Scale Curved Water Model Mold for Various Casting Conditions Using Imaging and Machine Learning

Parametric studies were performed in a 1:2 scaled, curved water model using shadowgraphy to estimate bubble sizes for different casting parameters such as gas flow rate, liquid flow rate and mold width. Bubble diameter calculations were based on a machine learning algorithm using ImageJ software. Bubble diameters were correlated with input parameters using a deep-learning algorithm. The model performance was determined based on the coefficient of determination (R 2 ). The model showed significant promise with bootstrapping aggregation, validated with five-fold cross-validation and improved accuracy.
MFECLIP: CLIP With Mapping-Fusion Embedding for Text-Guided Image Editing

Recently, generative adversarial networks (GAN) have made remarkable progress, particularly with the advent of Contrastive Language-Image Pretraining (CLIP), which take image and text into a joint latent space, bridging the gap between these two modalities. Several impressive text-guided image editing methods based on GANs and CLIP have emerged. However, in these studies, most of them simply minimize the distance between the target image embedding and text embedding in the CLIP space, and take this objective as network's optimization goal, overlooking the real distance between them may be large. This may result in inability to accurately guide the editing process according to the text prompts and the changes in text-irrelevant attributes. To mitigate this issue, we propose a novel approach named CLIP with Mapping-Fusion Embedding (MFECLIP) for text-guided image editing, which comprises two components: the MFE Block and MFE Loss. Through the MFE Block, we obtain Mapping-Fusion Embedding (MFE), which can further eliminate the modality gap, and it can serve as a superior guide for editing process instead of the original text embedding. Based on contrastive learning, the MFE Loss is designed to achieve accurate alignment between the target image and text prompt. We have conducted extensive experiments on real datasets, CUB and Oxford, demonstrating the favorable performance of the proposed method.
Blood Haemoglobin Concentration Is Directly and Independently Related with Pulse Wave Velocity, a Measure of Large Artery Stiffness

High haemoglobin level has been associated with metabolic syndrome, elevated blood pressure (BP), and increased mortality risk. In this cross-sectional study, we investigated the association of blood haemoglobin with haemodynamics in 743 subjects, using whole-body impedance cardiography and pulse wave analysis. The participants were allocated to sex-stratified haemoglobin tertiles with mean values 135, 144, and 154 g/L, respectively. The mean age was similar in all tertiles, while body mass index was higher in the highest versus the lowest haemoglobin tertile. The highest haemoglobin tertile had the highest erythrocyte and leukocyte counts, plasma C-reactive protein, uric acid, renin activity, and aldosterone. The lipid profile was less favourable and insulin sensitivity lower in the highest versus the lowest haemoglobin tertile. Aortic BP, cardiac output, and systemic vascular resistance were similar in all tertiles, while the pulse wave velocity (PWV) was higher in the highest versus the lowest haemoglobin tertile. In linear regression analysis, age (Beta 0.478), mean aortic BP (Beta 0.178), uric acid (Beta 0.150), heart rate (Beta 0.148), and aldosterone-to-renin ratio (Beta 0.123) had the strongest associations with PWV (p < 0.001 for all). Additionally, haemoglobin concentration was an explanatory factory for PWV (Beta 0.070, p = 0.028). To conclude, blood haemoglobin concentration had a small direct and independent association with a measure of large artery stiffness.
PatentInspector: An Open-Source Tool for Applied Patent Analysis and Information Extraction

Patent analysis is a field that concerns the analysis of patent records, for the purpose of extracting insights and trends, and it is widely used in various fields. Despite the abundance of proprietary software employed for this purpose, there is currently a lack of easy-to-use and publicly available software that can offer simple and intuitive visualizations, while advocating for open science and scientific software development. In this study, we attempt to fill this gap by offering PatentInspector, an open-source, public tool that, by leveraging patent data from the United States Trademark and Patent Office, is able to produce descriptive analytics, thematic axes and citation network analysis. The use and interpretability of PatentInspector is illustrated through a use case on human resource management-related patents, highlighting its functionalities. The results indicate that PatentInspector is a practical resource for conducting patent analytics and can be used by individuals with a limited or no background in coding and software development.
Why Do Longtermists Care about Protecting the Environment? An Investigation on the Underlying Mechanisms of Pro-Climate Policy Support

Amid the pressing threat of climate collapse, longtermists emerge as a critical group poised to undertake collective action for the planet’s future. This pre-registered, highly powered study (N = 784 U.S. subjects recruited through Prolific) reinforces the association between longtermism and pro-climate attitudes, revealing that longtermists markedly support diverse pro-environmental policies, including those focusing on climate justice for minoritized groups in present-day and future generations. Notably, these associations are consistent after controlling for various demographic indicators, emphasizing their widespread relevance in the US context. Going beyond existing literature, this research delves into the underpinnings of longtermists’ pro-environmental proclivities. Critically, while longtermists exhibit heightened future-oriented concern for themselves and others, it is their capacity to imagine a brighter, more sustainable future and their broadened prosocial reach that elevates their environmental concern above and beyond the influence of demographic differences or other mediating factors. These insights present a promising foundation for cultivating broader pro-environmental engagement, highlighting the role of imagination and prosociality in shaping sustainable action.
Preparation and Characterization of Modified ZrO2/SiO2/Silicone-Modified Acrylic Emulsion Superhydrophobic Coating

Superhydrophobic coatings have increasingly become the focal point of research due to their distinctive properties like water resistance, wear resistance, and acid-base resilience. In pursuit of maximizing their efficiency, research has primarily revolved around refining the fabrication process and the composition of emulsion/nanoparticle coatings. We innovatively devised a superhydrophobic coating by employing a spraying technique. This involved integrating a γ-Methacryloyloxypropyltrimethoxysilane (KH570)-modified ZrO2/SiO2/silicone-modified acrylic emulsion. A comprehensive evaluation of this coating was undertaken using analytical instruments such as Fourier transform infrared spectroscopy (FTIR), X-ray diffraction (XRD), scanning electron microscopy (SEM), energy dispersive spectroscopy (EDS), and confocal laser scanning microscopy (CLSM). The coating demonstrated exceptional performance across a range of tests, including wear, immersion, and anti-icing cleaning, showcasing notable wear resistance, sodium chloride corrosion resistance, self-cleaning efficiency, and thermal stability. In particular, one coating exhibited super-hydrophobic properties, with a high contact angle of 158.5 degrees and an impressively low rolling angle of 1.85 degrees. This remarkable combination of properties is attributed to the judicious selection of components, which significantly reinforced the mechanical strength of the coating. These enhancements make it highly suitable for industrial applications where self-cleaning, anti-icing, and anti-contamination capabilities are critical.
Who Will Save the Savior? The Relationship between Therapists’ Secondary Traumatic Stress, Secondary Stress Self-Efficacy, and Attitudes toward Trauma-Informed Care

Therapists who treat traumatized preschool children are vulnerable to secondary traumatic stress. This study investigates the relationship between therapists’ attitudes toward trauma-informed care (TIC) and risk of secondary traumatic stress, with secondary traumatic self-efficacy as a mediating variable. Participants included Israeli social workers (N = 101) in preschool trauma frameworks, with 97.2% following trauma-informed care principles. The questionnaire combined three instruments: attitudes related to TIC (ARTIC), secondary traumatic stress (STS), and secondary traumatic stress efficacy (STSE). Therapists with less positive attitudes toward trauma-informed care showed higher levels of secondary traumatic stress (r[99] = −0.23, p = 0.019), while more positive attitudes predicted higher levels of secondary traumatic stress efficacy (r[99] = 40, p < 0.001). Secondary traumatic self-efficacy mediated the relationship between attitudes toward trauma-informed care and secondary traumatic stress (z = 2.72, p = 0.006). Therapists’ secondary traumatic stress may be reduced by improving positive attitudes toward trauma-informed care and enhancing their secondary traumatic self-efficacy.
EXAMINING THE POTENTIAL OF WAQF-BASED EDUCATION MANAGEMENT

Waqf is a charitable institution within Islam and Muslim contexts. Waqf translates to an endowment held in trust and is utilised for charitable purposes such as education, poverty alleviation, a place of worship, or medical care. In the educational development, waqf has funded many Islamic educational institutions, colleges, universities, libraries, and the like. In the context of Indonesian society, the modern system of waqf institution has been implemented to establish the pesantren (Islamic schools) and Islamic universities. This paper presents the example of waqf in education that has been practised in Indonesia. Darussalam Gontor is taken as an example since it is well-known as the first modern pesantren in Indonesia, endowed in 1958. It is a successful waqf-based educational institution. In reality, waqf-based institution can generate significant benefits in support of education and community development. The study shows the values-based management at the core of this waqf-funded Institution and reveals the concept of waqf basyr (Human waqf) which looks at the contribution of human resources. In addition to this essay also highlights the internal control practiced preserving the pesantren’s operational sustainability and to mitigate the mismanagement. This study is based on recent qualitative research comprising both primary and secondary data. The primary data included interviews with the core and peripheral respondents within the Institution. Secondary data was collected from in-depth literature reviews including the annual report of this Institution, books, journal articles, and relevant data and documents. The study's finding presents how the values-based education and human waqf implemented in this pesantren could be a role model for supporting the educational development system in the modern world. Additionally, the result of study shows that the internal control can mitigate the miss-managements and enhances the sustainability of the operational of this Institution. Importantly, there is a need to broadly bring values-based management, skilled human waqf (as human resources), and internal control to the educational or waqf institutions to enhance their operational sustainability and support their impacts on community development.
DDoS Attack Defense in Big Data-oriented Urban Rail Transit Safety Evaluation System

Big data technology is playing an increasingly important role in the safety evaluation of urban rail transit, which can help improve the safety and reliability of the transportation system. However, such a big data system will also become the target of attackers, especially in the face of DDoS attacks, its stability and availability may be greatly affected. Various attacks against the Internet have become a major concern among the many flaws of the contemporary Internet. Unfortunately, attacks against the Internet continue to grow more sophisticated, unpredictable, and unstoppable. At present, many researchers have devoted themselves to the research of DDoS defense solutions, and it is necessary to summarize the existing research on DDoS defense work and the technologies used in it. In this article, we introduce the process of DDoS attacks, and summarize the characteristics, mechanism and weaknesses of various DDoS attacks according to the network layer where the attack is located. Finally, defending against DDoS attacks is crucial to the big data-based urban rail transit security evaluation system. This paper summarizes the content of this paper and discusses some open issues in the field of network intrusion detection.
Perceptions and experiences of community-based healthcare professionals in the state of Qatar having do not attempt resuscitation discussions during the COVID-19 pandemic

Introduction The values and attitudes of healthcare professionals influence their handling of “do-not-attempt-resuscitation” (DNAR) orders, as does that of the families they interact with. The aim of this study was to describe attitudes, perceptions, and practices among community-based medical practitioners towards discussing cardiopulmonary resuscitation and DNAR orders with patients and their relatives, and to investigate if the COVID-19 pandemic affected their practice in having these discussions. Methods This is a researcher-developed online survey-based study which aimed to recruit a convenience sample of respondents from a total population of 106 healthcare professionals working for the Mobile Healthcare Service (MHS), Hamad Medical Corporation Ambulance Service in the State of Qatar. Results 33 family physicians, 38 nurses, and 20 paramedics (n = 91) responded to the questionnaire, of who around 40, 8, and 50%, respectively, had engaged in Do Not Attempt Resuscitation discussions during their work with MHS. 15% of physicians who had experience with Do Not Attempt Resuscitation discussions in Qatar felt that the family or patient were not open to having such discussions. 90% of paramedics thought that Do Not Attempt Resuscitation was a taboo topic for their patients in Qatar, and this view was shared by 75% of physicians and 50% of nurses. Per the responses, the COVID-19 pandemic had not affected the likelihood of most of the physicians or nurses (and 50% of the paramedics) identifying patients with whom having a Do Not Attempt Resuscitation discussion would be clinically appropriate. Discussion Overall, for all three groups, the COVID-19 pandemic did not affect the likelihood of identifying patients with whom a Do Not Attempt Resuscitation discussion would be clinically appropriate. We found that the greatest barriers in having Do Not Attempt Resuscitation discussions were perceived to be the religious or cultural beliefs of the patient and/or their family, along with the factor of feeling the staff member did not know the patient or their family well enough. All three groups said they would be more likely to have a conversation about Do Not Attempt Resuscitation if barriers were addressed.