Miracle-dz/UniFAR-FTUs huggingface dataset:
Sustainable Development Goals (SDGs) and education for Rohingya refugees in Malaysia

The Sustainable Development Goals (SDGs) and education for Rohingya refugees in Malaysia are examined in this paper. The Sustainable Development Goals (SDGs) serve as a blueprint for achieving a better and more sustainable future for all. Its fourth goal is to improve educational quality and enable socioeconomic mobility to help people escape poverty. The problem for Rohingya refugees in Malaysia is that they are not officially recognized by the host government. This study has been conducted using a qualitative approach. Purposive sampling has been chosen to identify respondents like United Nations High Commissioner for Refugees (UNHCR) personnel, Rohingya refugees, and local non-governmental organizations (NGOs). A semi-structured interview question was used to collect the information from the respondents. As a result, one of the consequences is that their children are not permitted to attend government-run schools for formal education. This situation has left them dissatisfied and concerned about their future in Malaysia. Nonetheless, in order to leverage the SDGs’ goal and achieve its motto of “leaving no one behind”, the UNHCR, as an international UN body, made an effort to provide access to the education sector. These efforts aim not only to improve educational quality, but also to strengthen ties between the refugee community and the host society. The local NGOs also collaborate with UNHCR in terms of financial support to further their secondary and even tertiary study. Despite those challenges, it still strives to achieve the SDG No. 4 target to reach the quality of education for Rohingya refugees. As a result, efforts to improve education for Rohingyas in Malaysia are ongoing, and all stakeholders must work together to make it a reality.
Improved Box Embeddings for Fine-Grained Entity Typing

Different from traditional vector-based fine-grained entity typing methods, the box-based method is more effective in capturing the complex relationships between entity mentions and entity types. The box-based fine-grained entity typing method projects entity types and entity mentions into high-dimensional box space, where entity types and entity mentions are embedded as d-dimensional hyperrectangles. However, the impacts of entity types are not considered during classification in high-dimensional box space, and the model cannot be optimized precisely when two boxes are completely separated or overlapped in high-dimensional box space. Based on the above shortcomings, an Improved Box Embeddings (IBE) method for fine-grained entity typing is proposed in this work. The IBE not only introduces the impacts of entity types during classification in high-dimensional box space, but also proposes a distance based module to optimize the model precisely when two boxes are completely separated or overlapped in high-dimensional box space. Experimental results on four fine-grained entity typing datasets verify the effectiveness of the proposed IBE, demonstrating that IBE is a state-of-the-art method for fine-grained entity typing.
The historical demography of pre-modern Japan

１ Ｉｎｔｒｏｄｕｃｔｉｏｎ ｔｏ Ｈｉｓｔｏｒｉｃａｌ Ｄｅｍｏｇｒａｐｈｙ：Ｈｉｓｔｏｒｙ ａｎｄ Ｐｏｐｕｌａｔｉｏｎ ２ Ｔｈｅ Ｅｓｔａｂｌｉｓｈｍｅｎｔ ａｎｄ Ｄｅｖｅｌｏｐｍｅｎｔ ｏｆ Ｈｉｓｔｏｒｉｃａｌ Ｄｅｍｏｇｒａｐｈｙ ３ Ｐｏｐｕｌａｔｉｏｎ Ｔｒｅｎｄｓ Ｂａｓｅｄ ｏｎ Ｍａｃｒｏ‐Ｄａｔａ ４ Ａ Ｄｅｍｏｇｒａｐｈｉｃ Ｏｖｅｒｖｉｅｗ ｏｆ Ｅａｒｌｙ Ｍｏｄｅｒｎ Ｊａｐａｎ Ｂａｓｅｄ ｏｎ Ｍｉｃｒｏ‐Ｄａｔａ：Ｐｏｐｕｌａｔｉｏｎ，Ｆａｍｉｌｙ Ｒｅｃｏｎｓｔｉｔｕｔｉｏｎ，ａｎｄ Ｈｏｕｓｅｈｏｌｄｓ ｉｎ Ｓｕｗａ ｇｕｎ，Ｓｈｉｎａｎｏ Ｐｒｏｖｉｎｃｅ ５ Ｄｅｍｏｇｒａｐｈｉｃ Ａｓｐｅｃｔｓ ｏｆ Ｔｏｋｕｇａｗａ Ｊａｐａｎ Ｂａｓｅｄ ｏｎ Ｍｉｃｒｏ‐Ｄａｔａ：Ｎｉｓｈｉｊｏ ｍｕｒａ，Ａｍｐａｃｈｉ ｇｕｎ，Ｍｉｎｏ Ｐｒｏｖｉｎｃｅ ６ Ｈｉｓｔｏｒｉｃａｌ Ｄｅｍｏｇｒａｐｈｙ ａｎｄ Ｆａｍｉｌｙ Ｈｉｓｔｏｒｙ：Ａ Ｃｏｎｃｌｕｓｉｏｎ
Demographic and Socioeconomic Correlates of Disproportionate Beef Consumption among US Adults in an Age of Global Warming

Concern for the environment when making dietary choices has grown as the contribution of the food sector to global greenhouse gas emissions becomes more widely known. Understanding the correlates of beef eating could assist in the targeting of campaigns to reduce the consumption of high-impact foods. The objective of this study was to identify the demographic, socioeconomic, and behavioral correlates of disproportionate beef consumption in the United States. We analyzed 24-h dietary recall data from adults (n = 10,248) in the 2015–2018 National Health and Nutrition Examination Survey (NHANES). Disproportionate beef consumption was defined as an intake greater than four ounce-equivalents per 2200 kcal. Associations of this indicator variable with gender, age, race/ethnicity, education, family income, diet knowledge, and away-from-home meals were assessed using logistic regression, incorporating survey design and weighting. Disproportionate beef diets were consumed by 12% of individuals, but accounted for half of all beef consumed. Males were more likely than females (p < 0.001) to consume these diets. This relationship was seen in all bivariate and multivariable models. Older adults, college graduates, and those who looked up the MyPlate educational campaign online were less likely (p < 0.01) to consume a disproportionate beef diet. While almost one-third of reported consumption came from cuts of beef (e.g., steak or brisket), six of the top ten beef sources were mixed dishes: burgers, meat mixed dishes, burritos and tacos, frankfurters, soups, and pasta. Efforts to address climate change through diet modification could benefit from targeting campaigns to the highest consumers of beef, as their consumption accounts for half of all beef consumed.
The influence of the low-volume high-intensity method training on the indicators of speed and strength qualities of young high skill level swimmers

A goal is to investigate the influence of the method of low-volume high-intensity training on the indicators of speed and strength abilities in young swimmers of high skill level. The following research methods were used: testing the level of special speed-strength qualities in the water with the help of equipment that allows underwater video recording, the parameters of the level of special speed-strength qualities in the water were recorded. The obtained results of the study allowed us to note an increase in the level of overall speed and strength qualities, the upper shoulder girdle power increased by 16.80% and speed increased by 13.48% in the experimental group. The increase in the speed and strength qualities of the shoulder girdle muscles was: power by 23.40% and speed by 21.17%. Increase in the level of speed and strength qualities of the lower extremities: power by 10.99% and speed by 2.74%. Evaluation by independent experts showed that the application of the method of low-volume high-intensity training also affects the basic swimming skills of students (technical elements of the chosen method swimming, development of general physical qualities of a swimmer; rational structure of swimming technique in the chosen way, the strength of the stroke; stability and variability of swimming technique, development special speed-strength endurance of a swimmer). The indicators improved by an average of 0.6 points. Keywords: high-intensity training; methods of improving speed and strength qualities; swimming; young swimmers.
CRABR-Net: A Contextual Relational Attention-Based Recognition Network for Remote Sensing Scene Objective

Remote sensing scene objective recognition (RSSOR) plays a serious application value in both military and civilian fields. Convolutional neural networks (CNNs) have greatly enhanced the improvement of intelligent objective recognition technology for remote sensing scenes, but most of the methods using CNN for high-resolution RSSOR either use only the feature map of the last layer or directly fuse the feature maps from various layers in the “summation” way, which not only ignores the favorable relationship information between adjacent layers but also leads to redundancy and loss of feature map, which hinders the improvement of recognition accuracy. In this study, a contextual, relational attention-based recognition network (CRABR-Net) was presented, which extracts different convolutional feature maps from CNN, focuses important feature content by using a simple, parameter-free attention module (SimAM), fuses the adjacent feature maps by using the complementary relationship feature map calculation, improves the feature learning ability by using the enhanced relationship feature map calculation, and finally uses the concatenated feature maps from different layers for RSSOR. Experimental results show that CRABR-Net exploits the relationship between the different CNN layers to improve recognition performance, achieves better results compared to several state-of-the-art algorithms, and the average accuracy on AID, UC-Merced, and RSSCN7 can be up to 96.46%, 99.20%, and 95.43% with generic training ratios.
Poly(ADP-ribose) Polyremase-1 (PARP-1) Inhibition: A Promising Therapeutic Strategy for ETS-Expressing Tumours

ETS transcription factors are a highly conserved family of proteins involved in the progression of many cancers, such as breast and prostate carcinomas, Ewing’s sarcoma, and leukaemias. This significant involvement can be explained by their roles at all stages of carcinogenesis progression. Generally, their expression in tumours is associated with a poor prognosis and an aggressive phenotype. Until now, no efficient therapeutic strategy had emerged to specifically target ETS-expressing tumours. Nevertheless, there is evidence that pharmacological inhibition of poly(ADP-ribose) polymerase-1 (PARP-1), a key DNA repair enzyme, specifically sensitises ETS-expressing cancer cells to DNA damage and limits tumour progression by leading some of the cancer cells to death. These effects result from a strong interplay between ETS transcription factors and the PARP-1 enzyme. This review summarises the existing knowledge of this molecular interaction and discusses the promising therapeutic applications.
Utilisation of InSAR for Monitoring of Subsidence over Mining Caving Zones

The utilisation of InSAR techniques for the monitoring of subsidence over mining areas, employing open pit and underground mining methods, has a large potential due to inaccessibility and safety issues associated with the usage of classical surveying techniques. InSAR can also be very competitive concerning the cost of provided results. However, there are a few issues that may significantly limit InSAR applicability for subsidence monitoring in mining areas. The highly dynamic character of subsidence induced by mining, especially employing caving as a mining system, may lead to ambiguity issues. This could happen when the vertical movement between the neighbouring cells (pixels) of the SAR image is greater than quarter of the wavelength of a radar signal over the period between image acquisitions. The altered terrain topography, involving steep slopes and deep pits, may also lead to radar signal layover issues for specific satellite and pit slope geometry.
Social Network Marketing and its Influence on Online Purchase of Grocery Products during Covid-19 Pandemic: Mediating Role of Brand Awareness

Digital technologies in the present day have witnessed phenomenal growth in the field of marketing and advertising of products. The online shopping is a relatively growing phenomenon, which is attracting a lot of attention in the present Covid-19 pandemic period. The influence of social networking sites (SNS) is being so widely discussed around the world and a number of studies have been on the use of SNS among consumers in India. Many grocery shoppers are concerned about exposing themselves to Covid-19 by going to stores and have chosen to buy groceries online by either stepping up the online delivery service or pickup services, or by trying for the first time.Several studies have primarily discussed how businesses communicate with consumers, but the gap in the study is whether social media can actually change consumers’ knowledge of brands.The aim of this study is to analyze factors that influence the customer in adapting to social networks in order to increase brand awareness and intention to purchase food products online. The paper also examines the mediating role of brand awareness to the relationship of SNS and intention to purchase.
Monitoring of polyphosphate levels in animal source products collected in Italy by means of ion chromatography with suppressed conductivity detection

Polyphosphates (PPs) constitute a class of food additives widely used due to their ability to exercise different useful activities. The food safety concern about the use of PPs in food is both the possible non-declared addition and some health effects, such as bile duct stones, decrease in oligo-element absorption, and allergic reactions in susceptible people. In this study, an analytical method based on ion chromatography with conductivity detection was applied for the detection and quantification of PPs in 238 samples of animal-derived products such as meat, dairy, and fish products. A contribution to risk assessment was also included. The monitoring confirmed the absence of non-compliant results. All concentrations of PPs were indeed lower than the legal limits set in European Regulation No. 1333/2008. Moreover, no residue of PPs was detected (> limit of quantification: 0.09 g kg-1) in samples where it was not reported on the product label. No PPs were detected in mollusks, meat-based preparations, semi-ripened, unripened, and spun paste cheese, while they are widely used in surimi, with concentrations in the range of 0.1-0.5 g kg-1. The highest concentrations were quantified in a würstel sample (4.7±0.3 g kg-1) and a spreadable cheese sample (8.9±0.7 g kg-1). Considering that the high exposure scenario together with a very susceptible population group (toddlers) were taken into account for this risk exposure study and that the highest admissible daily intake obtained was equal to 10.4%, the assessment demonstrated that the actual use of PPs in food does not pose a risk for food safety.
Kidney dysfunction and mortality risk in hospitalized Covid-19 patients: A large Covid-19 centre experience

Objective: Kidney dysfunction is common in patients infected with the coronavirus (COVID-19). The study's objective was to determine the relationship between glomerular filtration rate and mortality in COVID-19 patients. Methods: This is a retrospective cohort study of patients admitted into the COVID-19 isolation center from March 2020 through December 2021. The serum creatinine at admission was used to estimate the glomerular filtration rate (eGFR) using the CKD equation method. The patients were categorized into 2 groups based on the eGFR (≥ or < 60ml/minute). The outcome was in-hospital mortality. Kaplan Meier survival plots and cox proportional modelling were employed in the data analysis. Results: Atotal of 623 patients were analysed. The mean age was 53.4±15.3 years, and 58.6% were male. An eGFR of < 60 ml/min was observed in 196 (31%) patients. A significantly higher number of deaths occurred among patients with eGFR <60ml/min (32% vs 10.5% (P<0.001). After adjusting for age, sex, disease severity, haemoglobin, ICU admission, and dialysis, the patients with reduced eGFR of (<60ml/min) were twice more likely to die than patients with eGFR ≥60mls/min(AHR 1.95, 95% CI 1.26- 3.04, P= 0.003). Conclusion: eGFR of < 60mls/min is associated with an increased risk of mortality in COVID-19 patients. This stresses the need for better recognition of renal dysfunction as a high-risk for mortality in COVID-19 infections.
Ultrasound-assisted dispersive liquid-liquid microextraction approach for preconcentration of acyclovir as antiviral drug in dosage forms prior to spectrophotometric determination

ABSTRACT. For acyclovir (ACV) determination in bulk and dosage forms, quick, sensitive, straightforward, and eco-friendly ultrasound-assisted dispersive liquid-liquid microextraction (UA-DLLME)-based spectrophotometric method has been created and validated. ACV with 1,2-naphthoquine-4-sulfonate (NQS) react in alkaline medium to produce a yellow-colored product, which is the basis of the newly created method. Investigation and optimization were done on the crucial experimental variables influencing ACV's extraction effectiveness. At λmax = 495 nm, the minuscule organic droplets were detected. The linearity was present from 0.1 to 3.0 μg/mL under ideal circumstances, with a linear correlation coefficient of 0.9995. The detection limit was 0.03 μg/mL and quantification limit was 0.1 μg/mL. 22.50 was the enrichment factor. Relative standard deviation (RSD%) as accuracy at 2.0 μg/mL of ACV was 1.0%, with good recovery (99.30%). The developed UA-DLLME method was effectively used to determine the ACV in dosage forms, and the validation was evaluated. Results from the suggested technique for dosage forms and pure ACV were in excellent agreement with the results from the official method. KEY WORDS: Ultrasound-assissted, Dispersive liquid–liquid microextraction, Acyclovir, Spectrophotometry, Dosage forms Bull. Chem. Soc. Ethiop. 2023, 37(5), 1081-1092. DOI: https://dx.doi. org/10.4314/bcse.v37i5. 2
Evaluation of Gene Expression Level of miRNA-29c, miRNA-125, miRNA-141, miRNA-145 and miRNA-205 as Predisposing Factors for Transitional Cell Carcinoma-Bladder Cancer in Iraqi Patients

MicroRNAs (miRNAs) are small non-coding RNAs that regulate gene expression post-transcriptionally. Transitional cell carcinoma(TCC) of the bladder Cancer (C) account 95 percent of bladder malignancies, with males having a greater prevalence than females. The current study sought to determine whether there is a link between miRNA-29c, miRNA-125, miRNA-141, miRNA-145 and miRNA205 expression levels and TCC/BC risk in Iraqi bladder cancer patients. In the current prospective cross-sectional investigation, 149 samples were collected (95 urine and 54 tissue biopsies). From November 2018 to August 2019, 37/95 urine samples were randomly taken from healthy persons. Total RNA was extracted from tissue and urine samples, and then converted to cDNA via reverse transcription. Quantitate Real-Time-PCR was done using specific primers for quantification of gene expression level of the studied miRNAs. The results showed that 32/49 (65%) patients had non-muscles invasive bladder cancer (stage T1), while 17/49 (35%) patients had muscles invasive bladder cancer (stage T2-T4). Fold change in miRNA-125 expression level showed highly significant differences between non-muscles invasive bladder cancer (T1) and muscles invasion bladder cancer (T2-T4) in both urine and tissue samples biopsies using Chi-square test at p ≤ 0.01. Whereas miR-29c, miR-141, miR-145 and miR-205 showed no significant differences at p > 0.05 between muscles invasive bladder cancer (T1) and muscles invasive bladder cancer (T2-T4) in both urine and tissue biopsies samples. Thus, miR-125 can be associated with the development of invasive stages of TCC-BC as there is an increase in miR-125 expression level in the urine of patients during the final stage of cancer.Hence, this gene could be considered a good predictor in advanced stages of bladder cancer.
Report from the 24th Annual Western Canadian Gastrointestinal Cancer Consensus Conference on Colorectal Cancer, Richmond, British Columbia, 28–29, October 2022

The 24th annual Western Canadian Gastrointestinal Cancer Consensus Conference (WCGCCC) was held in Richmond, British Columbia, on 28–29 October 2022. The WCGCCC is an interactive multidisciplinary conference attended by healthcare professionals from across Western Canada (British Columbia, Alberta, Saskatchewan, and Manitoba) who are involved in the care of patients with gastrointestinal cancer. Surgical, medical, and radiation oncologists; pathologists; radiologists; and allied health care professionals such as dieticians, nurses and a genetic counsellor participated in presentation and discussion sessions for the purpose of developing the recommendations presented here. This consensus statement addresses current issues in the management of colorectal cancer.
The Role of Biomarkers, Metabolomics, and COVID-19 in Venous Thromboembolism—A Review of Literature

In recent years, the field of venous thromboembolism has undergone numerous innovations, starting from the recent discoveries on the role of biomarkers, passing through the role of metabolomics in expanding our knowledge on pathogenic mechanisms, which have opened up new therapeutic targets. A variety of studies have contributed to characterizing the metabolic phenotype that occurs in venous thromboembolism, identifying numerous pathways that are altered in this setting. Among these pathways are the metabolism of carnitine, tryptophan, purine, and fatty acids. Furthermore, new evidence has emerged with the recent COVID-19 pandemic. Hypercoagulability phenomena induced by this viral infection appear to be related to altered von Willebrand factor activity, alteration of the renin–angiotensin–aldosterone system, and dysregulation of both innate and adaptive immunity. This is the first literature review that brings together the most recent evidence regarding biomarkers, metabolomics, and COVID-19 in the field of venous thromboembolism, while also mentioning current therapeutic protocols.
Gender Differences in Mental Rotational Training Based on Computer Adaptive Tests

Mental rotation tasks have been widely used to assess individuals’ spatial cognition and the ability to mentally manipulate objects. This study employed a computerized adaptive training method to investigate the behavioral performance of participants of different genders in mental rotation tasks with different rotation angles before and after training. A total of 44 Chinese university students participated in the experiment, with the experimental group undergoing a five-day mental rotation training program. During the training phase, a three-down/one-up staircase procedure was used to adjust the stimulus levels (response time) based on participants’ responses. The results showed that the training had a facilitative effect on the mental rotation ability of both male and female participants, and it was able to eliminate the gender differences in mental rotation performance. Regarding the angles, we observed that the improvement in the angles involved in the training was significantly higher compared to untrained angles. However, no significant differences in improvement were found among the three trained angles. In summary, these findings demonstrate the effectiveness of computerized adaptive training methods in improving mental rotation ability and highlight the influence of gender and angles on learning outcomes.
Fabrication of Co-doped NiO nanoparticles and evaluation of in vitro cytotoxicity and wound healing activities

Green synthesized NPs have been gaining more attention recently due to the medicinally active phytochemical constituents present in the plant extracts. This study presents a sustainable and economical approach for synthesizing undoped and doped NiO nanoparticles through co-precipitation. The nanoparticles were analyzed using UV–Vis, FTIR, XRD, SEM with EDAX, TEM, and XPS. From the phytochemical analysis, constituents present in the leaf extract may be responsible for the reduction and capping of the green synthesized pure and doped NPs. The antioxidant, antibacterial, antidiabetic, anti-inflammatory, and wound closure activity of the green synthesized pure and Co-doped NiO NPs have been analyzed. From the antibacterial activity, synthesized NPs exhibit a convincing zone of inhibition, which showed an increased efficiency towards Streptococcus mutans and Pseudomonas aeruginosa. Cytotoxic activity has been examined using an L929 cell line with a series of concentrations of NPs, among which 25 µg/ml showed good activity.