Miracle-dz/UniFAR-FTUs huggingface dataset:
Gender Stereotypes As Hidden Curriculum: A Case of Vietnamese English Textbooks

Gender equality and women empowerment have become a buzzword for development during the past decades with numerous national and international policies, including educational policies. However, gender equality is normally conceptualized in quantitative terms of education such as low disparity in access to education between boys and girls while qualitative aspects of gender equality are still left uncontested, among which is gender stereotypes in hidden curriculum. Gender stereotypes as a social construct, once imbedded in education and educational materials, certainly intervene the gender socialization process of students. The paper attempts to investigate this issue by employing a mixed qualitative and quantitative content analysis of the illustrations in English textbooks for Upper-secondary students in Vietnam. The analysis reveales stereotypes reflected in three main areas: occupations, sports and pastimes, and life duties, all of which confirm social and cultural norms of Vietnamese society towards a woman.
Efficient Deep Learning Approach for Computational Offloading in Mobile Edge Computing Networks

The fifth-generation mobile communication technology is broadly characterised by extremely high data rate, low latency, massive network capacity, and ultrahigh reliability. However, owing to the explosive increase in mobile devices and data, it faces challenges, such as data traffic, high energy consumption, and communication delays. In this study, multiaccess edge computing (previously known as mobile edge computing) is investigated to reduce energy consumption and delay. The mathematical model of multidimensional variable programming is established by combining the offloading scheme and bandwidth allocation to ensure that the computing task of wireless devices (WDs) can be reasonably offloaded to an edge server. However, traditional analysis tools are limited by computational dimensions, which make it difficult to solve the problem efficiently, especially for large-scale WDs. In this study, a novel offloading algorithm known as energy-efficient deep learning-based offloading is proposed. The proposed algorithm uses a new type of deep learning model: multiple-parallel deep neural network. The generated offloading schemes are stored in shared memory, and the optimal scheme is generated by continuous training. Experiments show that the proposed algorithm can generate near-optimal offloading schemes efficiently and accurately.
A Genome-Wide Screen Reveals That Endocytic Genes Are Important for Pma1p Asymmetry during Cell Division in Saccharomyces cerevisiae

An asymmetry in cytosolic pH between mother and daughter cells was reported to underlie cellular aging in the budding yeast Saccharomyces cerevisiae; however, the underlying mechanism remains unknown. Preferential accumulation of Pma1p, which pumps cytoplasmic protons out of cells, at the plasma membrane of mother cells, but not of their newly-formed daughter cells, is believed to be responsible for the pH increase in mother cells by reducing the level of cytoplasmic protons. This, in turn, decreases the acidity of vacuoles, which is well correlated with aging of yeast cells. In this study, to identify genes that regulate the preferential accumulation of Pma1p in mother cells, we performed a genome-wide screen using a collection of single gene deletion yeast strains. A subset of genes involved in the endocytic pathway, such as VPS8, VPS9, and VPS21, was important for Pma1p accumulation. Unexpectedly, however, there was little correlation between deletion of each of these genes and the replicative lifespan of yeast, suggesting that Pma1p accumulation in mother cells is not the key determinant that underlies aging of mother cells.
Synthesis of Copper Oxide-Based Nanoformulations of Etoricoxib and Montelukast and Their Evaluation through Analgesic, Anti-Inflammatory, Anti-Pyretic, and Acute Toxicity Activities

Copper oxide nanoparticles (CuO NPs) were synthesized through the coprecipitation method and used as nanocarriers for etoricoxib (selective COX-2 inhibitor drug) and montelukast (leukotriene product inhibitor drug) in combination therapy. The CuO NPs, free drugs, and nanoformulations were investigated through UV/Vis spectroscopy, FTIR spectroscopy, XRD, SEM, and DLS. SEM imaging showed agglomerated nanorods of CuO NPs of about 87 nm size. The CE1, CE2, and CE6 nanoformulations were investigated through DLS, and their particle sizes were 271, 258, and 254 nm, respectively. The nanoformulations were evaluated through in vitro anti-inflammatory activity, in vivo anti-inflammatory activity, in vivo analgesic activity, in vivo anti-pyretic activity, and in vivo acute toxicity activity. In vivo activities were performed on albino mice. BSA denaturation was highly inhibited by CE1, CE2, and CE6 as compared to other nanoformulations in the in vitro anti-inflammatory activity. The in vivo bioactivities showed that low doses (5 mg/kg) of nanoformulations were more potent than high doses (10 and 20 mg/kg) of free drugs in the inhibition of pain, fever, and inflammation. Lastly, CE2 was more potent than that of other nanoformulations.
Pareto-optimal performance-based robust design of braced excavations in soft clay with response surface methodology

Abstract This paper presents a methodology for robust design optimization of braced excavations in soft clay with response surface methodology based on the pareto-optimal trade-off between system performance and cost. As prediction of maximum ground settlement induced by excavation is generally accompanied by an implicit numerical model, the response surface methodology is employed to build the performance function with respect to both design parameters and uncertain geotechnical parameters. Then a pareto-optimal performance-based robust design framework of braced excavations in soft clay is formulated to find the optimal design that meets the design requirements while optimizing the system performance and construction cost. With the aid of a multi-objective optimization approach, trade-off relationship between performance robustness and cost efficiency are developed to help identify the most robust design based on the targeted performance levels. A design example of braced excavation in Taipei soft clay is used to illustrate the significance of the proposed methodology.
Predicting Young Imposter Syndrome Using Ensemble Learning

Background. Imposter syndrome (IS), associated with self-doubt and fear despite clear accomplishments and competencies, is frequently detected in medical students and has a negative impact on their well-being. This study aimed to predict the students’ IS using the machine learning ensemble approach. Methods. This study was a cross-sectional design among medical students in Bangladesh. Data were collected from February to July 2020 through snowball sampling technique across medical colleges in Bangladesh. In this study, we employed three different machine learning techniques such as neural network, random forest, and ensemble learning to compare the accuracy of prediction of the IS. Results. In total, 500 students completed the questionnaire. We used the YIS scale to determine the presence of IS among medical students. The ensemble model has the highest accuracy of this predictive model, with 96.4%, while the individual accuracy of random forest and neural network is 93.5% and 96.3%, respectively. We used different performance matrices to compare the results of the models. Finally, we compared feature importance scores between neural network and random forest model. The top feature of the neural network model is Y7, and the top feature of the random forest model is Y2, which is second among the top features of the neural network model. Conclusions. Imposter syndrome is an emerging mental illness in Bangladesh and requires the immediate attention of researchers. For instance, in order to reduce the impact of IS, identifying key factors responsible for IS is an important step. Machine learning methods can be employed to identify the potential sources responsible for IS. Similarly, determining how each factor contributes to the IS condition among medical students could be a potential future direction.
Vigilance, arousal, and acetylcholine: Optimal control of attention in a simple detection task

Paying attention to particular aspects of the world or being more vigilant in general can be interpreted as forms of ‘internal’ action. Such arousal-related choices come with the benefit of increasing the quality and situational appropriateness of information acquisition and processing, but incur potentially expensive energetic and opportunity costs. One implementational route for these choices is widespread ascending neuromodulation, including by acetylcholine (ACh). The key computational question that elective attention poses for sensory processing is when it is worthwhile paying these costs, and this includes consideration of whether sufficient information has yet been collected to justify the higher signal-to-noise ratio afforded by greater attention and, particularly if a change in attentional state is more expensive than its maintenance, when states of heightened attention ought to persist. We offer a partially observable Markov decision-process treatment of optional attention in a detection task, and use it to provide a qualitative model of the results of studies using modern techniques to measure and manipulate ACh in rodents performing a similar task.
N-Nitrosodimethylamine-contaminated ranitidine and
 risk of cancer in South Korea: a nationwide cohort study

Objective: On September 2019, the United States Food and Drug Administration announced that some ranitidine products were contaminated with unacceptable levels of N-nitrosodimethylamine (NDMA). We aimed to determine whether the use of ranitidine that was potentially contaminated with NDMA, rather than another histamine H2-receptor antagonist (H2 blocker), increased the risk of overall cancer. Methods: We performed a Korean population-based nationwide cohort study with propensity score matching of 95,656 adults (unmatched) and 55,584 adults (matched) who initiated treatment with H2 blockers between January 2005 and December 2014, and were followed until December 2015. Incident overall cancer was the primary outcome and all-cause mortality was the secondary outcome. http://www.elifecycle. org Ranitidine and risk of cancer https://doi.org/10.54724/lc.2021. e1 2 / 17 Results: The unweighted cohort had 30,335 new users of ranitidine and 65,321 new users of other H2 blockers. The weighted cohort had 27,792 new users of ranitidine and 27,792 new users of other H2 blockers (median age, 55.0 years [interquartile range, 45-63]; 21,186 men [38.3%]). During follow-up (median of 6.8 years for ranitidine vs. 6.6 years for other H2 blockers), there were 2,840 new diagnoses of cancers and 1,758 deaths among users of other H2 blockers, and 2,113 new diagnoses of cancers and 1,933 deaths among users of ranitidine. The adjusted hazard ratio (aHR) for overall cancer in ranitidine users was 1.01 (95% confidence interval [CI], 0.95 to 1.06), with no evidence of a dose-response relationship (Ptrend=0.429) and no evidence of a duration-response relationship (Ptrend=0.549). The aHR for all-cause death in ranitidine users was 1.04 (95% CI, 0.97 to 1.11), with no significant association. The results from the unweighted cohort were similar to the primary results in the weighted cohort. Conclusions: Although our findings do not reassure keep using ranitidine, but those suggest that use of contaminated ranitidine was not markedly dangerous of cancer risk at short-term follow-up period. However, future studies are needed to investigate the long-term cancer risk and the risk of cancer in pediatric populations.
Sparsity-aware 3D ToF Sensing

In this work, several ToF sensing schemes which tackle the challenge of obtaining high angular resolution and long ranges in nearly real-time, with relatively simple implementation and low associated computational load, are proposed. Sliced Orthogonal Matching Pursuit (OMP) divides the spatial domain in a number of partitions which ensure an efficient projection of the scene by optimizing the inter-column coherence of the sensing matrices. The signals are preliminarily localized within the partitions and OMP is then applied to recover depth and amplitude in a refined spatial domain. The preliminary set of measurements reduces the effective domain of the signal, lowers the processing times, and improves the sensing accuracy. Several methodologies are described for the construction of the sensing matrices, such as Low-Density Parity-Check codes via Progressive Edge Growth (LDPC-PEG), and random permutations of (0,1)-binary columns generated as combinations without repetition of a fixed number of non? zero elements for each column. Furthermore, we extend the previous schemes accounting for the raising and falling edges in order to avoid any possible coincidence which may degrade the coherence. Then, the upper super-resolution limit is studied accounting for the Instrument Response Function (IRF) of the ToF sensor. Zoned APEG extends the applicability of Adaptive Progressive Edge Algorithm (APEG) to more practical illumination systems by considering several groups of signals, arising from different areas of the sensor array, during the adaptation of the sensing matrices. The signals are then individually retrieved for each pixel via OMP over the identified joint signal support.
A Study on the Contents and Methods of Disaster Assessment

As the core of disaster research, Reviews and evaluations on the works of orisk prediction, loss assessing, effects of disaster reduction and prevention are discussed in this paper. At present, international research in evaluation has made a certain progress. The work on it, however, needs to be enriched and perfected by improving the synthesis of multi subjects because of the universality of disaster evaluation. In this paper, author reviews and summarizes the evolution of disaster research in risk evaluation, loss evaluation, environment evaluation and profits evaluation of disaster prevent engineers, and discusses the connotation, content and study methods in these fields. Results show that focuses of present study in risk evaluation are put to natural attribute of disaster. Synthetic research in risk evaluation of disaster formative factors, volubility of disaster affected bodies advances slowly. Research in loss evaluation of disaster does not put enough attention to direct economy losses, indirect economy losses and other losses. Evaluation in disaster environment is a new task, and profit evaluation of disaster prevent engineer needs to be studied deeply on the basis of the principle and method of cost profit.
Literature Review on BER Improvement of Adaptive Equalizer

Channel equalization is an important aspect in high speed digital communication required for efficient and reliable data recovery and reception when the data is transmitted over band-limited channel subjected to noise and interference. We investigate channel equalization and introduce hierarchical and adaptive nonlinear channel equalization algorithms that are highly efficient and provide significantly improved bit error rate (BER) performance. Due to the high complexity of nonlinear equalizers and poor performance of linear ones, to equalize highly difficult channels, we employ piecewise linear equalizers.
HETEROPODY INDEX: A SQUARE PEG IN A ROUND HOLE?

Abstract: Heteropody Index (HI) is a tool used to calculate area differences between the manus and pes of fossil trackways. HI uses a simple length × width calculation to estimate area. However, since most foot impressions are rarely close to square in shape, HI using a different area calculation could potentially more accurately reflect differences in manus and pes foot area. In this study, accuracy of length × width (L×W) as an area estimate for basic shapes and animal footprints, was tested against two other area calculations, the area of a circle: πr2, and length × carpal width (L×CW) (the width at the most proximal point of the foot in contact with the ground). In addition, accuracy of HI calculations using these methods was tested against HI calculations using actual area of the corresponding shape or underfoot area. It was discovered that in general L×W is a better estimate for area than πr2, in most animals except ungulates. However, for those animals where L×W was a better estimate than πr2, L×CW was more accurate. This paper additionally proposes that by combining the findings of these tests with those of Strickson et al. (2019), foot area estimates for dinosaurs can be estimated more accurately using L×CW, to return an area close to estimates for soft tissue. Previous HI measurements may have overestimated extreme heteropody in sauropod dinosaurs.
Protein Lipidation Types: Current Strategies for Enrichment and Characterization

Post-translational modifications regulate diverse activities of a colossal number of proteins. For example, various types of lipids can be covalently linked to proteins enzymatically or non-enzymatically. Protein lipidation is perhaps not as extensively studied as protein phosphorylation, ubiquitination, or glycosylation although it is no less significant than these modifications. Evidence suggests that proteins can be attached by at least seven types of lipids, including fatty acids, lipoic acids, isoprenoids, sterols, phospholipids, glycosylphosphatidylinositol anchors, and lipid-derived electrophiles. In this review, we summarize types of protein lipidation and methods used for their detection, with an emphasis on the conjugation of proteins with polyunsaturated fatty acids (PUFAs). We discuss possible reasons for the scarcity of reports on PUFA-modified proteins, limitations in current methodology, and potential approaches in detecting PUFA modifications.
Field pea diversity and its contribution to farmers' livelihoods in northern Ethiopia

Field pea is grown by smallholder farmers in Ethiopia as a source of food, fodder, income, and soil fertility. This study explores intraspecific diversity of field pea and its contribution to farmers' livelihoods in two agroecological zones of South Tigray and South Wollo, northeastern Ethiopia. Interviews were conducted with 168 farming households. The number of varieties and the Shannon Diversity Index (SDI) were higher in South Tigray (seven varieties, 0.35 SDI) than South Wollo (two varieties, 0.025 SDI). Farmers in South Tigray plant field pea during two growing seasons, allowing for integration of multiple varieties into their farming systems. The price of one field pea type from South Tigray known as “dekoko” was twice as high as other field pea varieties, most likely due to high demand and relatively low supply. Key informants reported “dekoko” has become less common in their communities, with diseases and pests reported as major production constraints. Multistakeholder collaboration is recommended to enhance the contribution of field pea to Ethiopian farming systems.
Bioadhesive Nanoparticles for Local Drug Delivery

Local drug delivery is an effective strategy for achieving direct and instant therapeutic effects. Current clinical treatments have fallen short and are limited by traditional technologies. Bioadhesive nanoparticles (NPs), however, may be a promising carrier for optimized local drug delivery, offering prolonged drug retention time and steadily maintained therapeutic concentrations. In addition, the possibility of clinical applications of this platform are abundant, as most polymers used for bioadhesion are both biodegradable and biocompatible. This review highlights the major advances in the investigations of polymer-based bioadhesive nanoparticles and their innumerable applications in local drug delivery.
The Impact of Village Cadres’ Public Service Motivation on the Effectiveness of Rural Living Environment Governance: An Empirical Study of 118 Chinese Villages

Based on Perry’s Public Service Motivation Theory, this paper aims at (1) measuring public service motivation of village cadres and the effectiveness of rural living environment governance; (2) examining the public service motivation of village cadres as a factor potentially influencing the effectiveness of rural living environment governance. Through the survey of village heads, the village party secretaries and villagers in 118 villages in south-central China, an empirical study on the impact of village cadres’ public service motivation and effectiveness of rural living environment governance is conducted. Empirical results indicate that village cadres’ public service motivation (four dimensions) positively influences the effectiveness of rural living environment governance (three aspects). Therefore, we could consider more about perspective of village cadres’ public service motivation for improving the effectiveness of rural living environment governance.
British Columbia's Index of Multiple Deprivation for Community Health Service Areas

Area-based socio-economic indicators, such as the Canadian Index of Multiple Deprivation (CIMD), have been used in equity analyses to inform strategies to improve needs-based, timely, and effective patient care and public health services to communities. The CIMD comprises four dimensions of deprivation: residential instability, economic dependency, ethno-cultural composition, and situational vulnerability. Using the CIMD methodology, the British Columbia Index of Multiple Deprivation (BCIMD) was developed to create indexes at the Community Health Services Area (CHSA) level in British Columbia (BC). BCIMD indexes are reported by quintiles, where quintile 1 represents the least deprived (or ethno-culturally diverse), and quintile 5 is the most deprived (or diverse). Distinctive characteristics of a community can be captured using the BCIMD, where a given CHSA may have a high level of deprivation in one dimension and a low level of deprivation in another. The utility of this data as a surveillance tool to monitor population demography has been used to inform decision making in healthcare by stakeholders in the regional health authorities and governmental agencies. The data have also been linked to health care data, such as COVID-19 case incidence and vaccination coverage, to understand the epidemiology of disease burden through an equity lens.