Miracle-dz/UniFAR-FTUs huggingface dataset:
Socioeconomic Drivers of Fish Consumption in Qatar

The demand and supply gap in local fish production provides opportunities for investment in fish production and processing that are non-artisanal. Accordingly, this paper uses the Qatar Semi-Annual Survey, a nationally representative repeated cross-sectional dataset, to analyze consumers’ willingness to consume processed fish and the consumption intensity. Given the ordinal nature of the main outcome variable, namely processed fish consumption intensity, we use the ordered probit model with sample selection. The first part of our analytical strategy helps us to examine determinants of processed fish consumption, while the second part establishes factors associated with processed fish consumption intensity. The findings suggest that the majority of the respondents have a low interest in consuming processed fish. Nonetheless, we find that demographic and socioeconomic factors influence the intensity of consuming processed fish in Qatar. Specifically, consuming processed fish sometimes or very often is positively associated with age, living in a household with no children, and labor force participation. In comparison, Qatari households, tertiary education, and living in a middle-income household are factors that are likely to reduce consuming processed fish sometimes or very often. Our findings have important implications for investment in processed fish in Qatar. Specifically, the results help in targeting different consumer segments given a better understanding of factors associated with processed fish and fishery product consumption and the intensity of consumption among consumers in Qatar. The insights drawn from this study are a fundamental precondition for advancing the processed fish and fishery product industry in Qatar, an industry with the potential to generate by-products with benefits, such as energy and animal feed, prolonging fish and fishery product shelf life and convenience for consumers. Moreover, other countries in the region are likely to benefit from the insights drawn from this study.
Dividends Payout and Earnings Predictability: Evidence from a Developing Country

This study investigates the relation between dividends payout and earnings predictability of firms listed on the Egyptian Stock Exchange as an emerging African market. We depend on a sample of firms listed on the Egyptian stock exchange (EGX100) during 2014-2018. To test the hypotheses, we use two independent sample t-test and OLS regression. The principal analysis revealed that dividends payout improves the ability of current earnings to forecast firms’ future earnings. Results also indicated that dividends payout could enhance the ability of current earnings to forecast one year-ahead cash flow. To the best of our knowledge, this is the first study that examines the implications of dividends payout on earnings predictability in the Egyptian market. The findings present new insights to investors, researchers, and regulators concerned with agency conflicts of interest within the firm. It also presents evidence on the potential alternative mechanisms for decreasing agency costs in African emerging markets. Received: 8 April 2022 / Accepted: 4 August 2022 / Published: 2 September 2022
The Use of PowerPoint Presentation in Mathematics Education: A Comparative Study of Endowed and Less Endowed Schools in Ghana

This study investigated the effect of PowerPoint (PPT) instruction on achievement in two categories of SHSs in Ghana; less endowed and endowed schools, using a pre-test post-test quasi-experimental design. The sample consisted of 80 randomly selected students from two purposively selected government-assisted SHSs. The instruments used for data collection were two similar adopted Pre- and Post-Geometry Achievement Tests (GAT). During treatment, PPT presentations were used to teach both groups, some selected topics in geometry. Analysis of pre-GAT scores of both groups revealed that the participants in the endowed group significantly outperformed their counterparts in the less endowed group by a mean difference of 9.20. The results from the independent samples t-test conducted also showed that the endowed group significantly outperformed the less endowed group in the post-GAT. However, the results showed that the mean difference recorded between the two groups in the pre-GAT was significantly reduced to 6.58 in the post-GAT. Finally, the findings revealed no influence of gender in the achievement of both groups when PPT presentation was used in the instructional delivery. In conclusion, the use of PPT presentations in mathematics was found to increase SHS students’ achievement in mathematics and also found to be a good instructional approach that can be employed to narrow the gap in achievement levels between endowed and less endowed SHSs. The implications for practice and research are discussed.
Physics-based representations for machine learning properties of chemical reactions

Physics-based representations constructed using only atomic positions and nuclear charges (also known as quantum machine learning, QML) allow for the reliable and efficient inference of molecular properties from training data. Chemistry is a science rooted in chemical reactions, naturally involving multiple molecular species. Here, we extend QML’s capabilities to include the prediction of reaction properties by defining reaction representations: representations taking as input multiple molecules participating in a reaction, each represented by their corresponding atomic charges and three-dimensional coordinates. Several reaction representations are constructed from established molecular ones and benchmarked on four datasets representative of thermodynamic or kinetic reaction properties. One of these, the Hydroform-22-TS dataset (2350 energy barriers), is introduced as part of this work. The relevant ingredients for a high-performing reaction representation are extracted and used to construct the Bond-Based Reaction Representation ( B2R2 ) for the prediction of quantum-chemical properties of chemical reactions. Finally, variations of B2R2 with varying representation size vs. performance are provided.
Handbook of geophysics and the space environment

Abstract : This fourth edition of the Air Force Handbook of Geophysics and the Space Environment has been completely revised. It begins with chapters on the sun and its emissions, then treats the earth's magnetic field and the radiation belts, and follows with chapters on the ionosphere and the aurora. The subject of electrical charging of space vehicles has been of special concern to the Air Force and has been included to aid the designers interested in that problem. The next group of chapters deals with properties of the atmosphere, and the handbook concludes with chapters on the earth sciences and infrared astronomy. Keywords: Geophysics; Sun; Solar wing; Solar irradiance; Radiation belts; Ionosphere; Aurora; Air glow; Density; Temperature; Pressure; Winds; Earth atmosphere; Gravity; Geodesy; Infrared astronomy.
LESS INCLUSIVE GROWTH IN INDONESIA? THE UNINTENDED CONSEQUENCES OF INTERNET PENETRATION

Separate studies on the impact of internet penetration on growth and per capita income levels, inequality, and poverty levels are still being discussed. Using data from 33 Indonesian provinces between 2008 and 2020, this paper investigates whether internet penetration modulates economic growth by reducing inequality and poverty. The Two-Way Fixed Effect (TWFE) econometric model was used. Two findings can be concluded from this paper. First, Indonesia's economic growth remains less inclusive, as evidenced by rising per capita income, which tends to reduce poverty but not income inequality. Second, Indonesia's economic growth tends to be less inclusive as an unintended consequence of internet penetration. Although it strengthens the effect on poverty reduction, on the other hand, the interaction of economic growth with internet penetration tends to exacerbate income inequality. Based on these findings, the study suggests that the government should improve advanced ICT skills and lower barriers to internet adoption, particularly for the less fortunate. The internet is expected to become a tool to achieve inclusive growth through expanding a newly established middle class instead of simply the economic transformation of the poor into non-poor households under this policy.
Evaluation of Diabetes Effects of Selenium Nanoparticles Synthesized from a Mixture of Luteolin and Diosmin on Streptozotocin-Induced Type 2 Diabetes in Mice

The absence of a treatment efficient in the control of type 2 diabetes mellitus requires more functional products to assist treatment. Luteolin (LU) and diosmin (DIO) have been known as bioactive molecules with potential for the treatment of diabetes. This work aimed to establish the role that a combination of LU and DIO in selenium nanoparticles (SeNPs) played in streptozotocin (STZ)- induced diabetes mice. Green synthesis of Se NPs was performed by mixing luteolin and diosmin with the solution of Na2SeO3 under continuous stirring conditions resulting in the flavonoids conjugated with SeNPs. The existence of flavonoids on the surface of SeNPs was confirmed by UV-Vis spectra, Fourier transform infrared spectroscopy (FTIR), transmission electron microscopy (TEM) images, and DLS graphs via Zetasizer. The average diameter of GA/LU/DIO-SeNPs was 47.84 nm with a PDI of −0.208, a zeta potential value of −17.6, a Se content of 21.5% with an encapsulation efficiency of flavonoids of 86.1%, and can be stabilized by gum Arabic for approximately 175 days without any aggregation and precipitation observed at this time. Furthermore, The C57BL/6 mice were treated with STZ induced-diabetes and were exposed to LU/DIO, SeNPs, and GA/LU/DIO-SeNPs for six weeks. The treatment by nanospheres (GA/LU/DIO-SeNPs) in the mice with diabetes for a period of 6 weeks restored their blood glucose, lipid profile, glycogen, glycosylated hemoglobin, and insulin levels. At the same time, there were significant changes in body weight, food intake, and water intake compared with the STZ- untreated induced diabetic mice. Moreover, the GA/LU/DIO-SeNPs showed good antioxidant activity examined by catalase (CAT), superoxide dismutase (SOD), glutathione peroxidase (GPx) in liver and kidney and can prevent the damage in the liver evaluated by aspartate aminotransferase (AST), alanine aminotransferase (ALT), and alkaline phosphatase (ALP) activities. The nanospheres exhibited a significant anti-diabetic activity with a synergistic effect between the selenium and flavonoids. This investigation provides novel SeNPs nanospheres prepared by a high-efficiency strategy for incorporating luteolin and diosmin to improve the efficiency in type 2 diabetes.
Interaction Effect Between Hemoglobin and Hypoxemia on COVID-19 Mortality: an observational study from Bogotá, Colombia

Purpose We aimed to assess the effect of hemoglobin (Hb) concentration and oxygenation index on COVID-19 patients’ mortality risk. Patients and Methods We retrospectively reviewed sociodemographic and clinical characteristics, laboratory findings, and clinical outcomes from patients admitted to a tertiary care hospital in Bogotá, Colombia, from March to July 2020. We assessed exploratory associations between oxygenation index and Hb concentration at admission and clinical outcomes. We used a generalized additive model (GAM) to evaluate the observed nonlinear relations and the classification and regression trees (CART) algorithm to assess the interaction effects. Results We included 550 patients, of which 52% were male. The median age was 57 years old, and the most frequent comorbidity was hypertension (29%). The median value of SpO2/FiO2 was 424, and the median Hb concentration was 15 g/dL. The mortality was 15.1% (83 patients). Age, sex, and SpO2/FiO2, were independently associated with mortality. We described a nonlinear relationship between Hb concentration and neutrophil-to-lymphocyte ratio with mortality and an interaction effect between SpO2/FiO2 and Hb concentration. Patients with a similar oxygenation index had different mortality likelihoods based upon their Hb at admission. CART showed that patients with SpO2/FiO2 < 324, who were less than 81 years with an NLR >9.9, and Hb > 15 g/dl had the highest mortality risk (91%). Additionally, patients with SpO2/FiO2 > 324 but Hb of < 12 g/dl and a history of hypertension had a higher mortality likelihood (59%). In contrast, patients with SpO2/FiO2 > 324 and Hb of > 12 g/dl had the lowest mortality risk (9%). Conclusion We found that a decreased SpO2/FiO2 increased mortality risk. Extreme values of Hb, either low or high, showed an increase in the likelihood of mortality. However, Hb concentration modified the SpO2/FiO2 effect on mortality; the probability of death in patients with low SpO2/FiO2 increased as Hb increased.
Spontaneous spinal subdural hematoma in COVID-19 patient: Croatian national COVID hospital experience

Background: Spontaneous spinal subdural hematoma (SSDH) is a rare condition and causes of acute spinal cord compression, with symptoms varying from mild to severe neurological deficit. SSDH could occur as a consequence of posttraumatic, iatrogenic, or spontaneous causes, including underlying arteriovenous malformations, tumors, or coagulation disorder. Due to its rarity, it is difficult to establish standardized treatment. We present a rare case of SSDH in COVID-19 patient and course of treatment in COVID hospital. Case Description: A 71-year-old female patient was admitted due to instability, weakness of the left leg, and intensive pain in the upper part of thoracic spine as well as mild respiratory symptoms of COVID-19. She was not on pronounced anticoagulant therapy and her coagulogram at admission was within normal range. MRI revealed acute subdural hematoma at the level C VII to Th III compressing the spinal cord. The patient underwent a decompressive Th I and Th II laminectomy and hematoma evacuation. Post-operative MRI revealed a satisfactory decompression and re-expansion of the spinal cord. COVID-19 symptoms remained mild. Conclusion: SSDH represents a neurological emergency, possibly leading to significant deficit and requires urgent recognition and treatment. One of the main difficulties when diagnosing is to consider such condition when there is no history of anticoagulant treatment or previous trauma. Since high incidence of coagulation abnormalities and thromboembolic events was described COVID-19 patients, when considering the pathology of the central nervous system, the bleeding within it due to COVID-19 should be taken into account, in both brain and spine.
Small dams: determining the minimum waterbody surface area that can be successfully detected using Sentinel-1 SAR imagery

Water is a scarce resource in South Africa, and approximately 62% of the water used in South Africa is for irrigation. This water is stored in many small dams scattered across the country. If not managed correctly, they could have a negative effect on catchment areas and on the availability of water. As such, there is a need for a new monitoring and management system to be developed. This study determined the minimum surface area that would be required for a waterbody to be detected on Sentinel-1 Synthetic Aperture Radar imagery. A Random Forest classifier was used to detect waterbodies on a Sentinel-1 image calculated from a time series of imagery taken over a period of three months. Steep incidence angles outperformed shallow incidence angles, with the classification having an overall accuracy of 80%. Detection rates were almost 90% for waterbodies of one hectare and greater, with no false positives, and a 10% false negative rate. These findings provide the foundation for developing a detection and monitoring system, which would allow for the better management of water resources in South Africa.
The relationship between income growth and inequality: Evidence from an Asian emerging economy

This paper aims to investigate the relationship between income growth and inequality in Vietnam. The study database was collected and calculated from 61 provinces in the period of 2006-2018. The economic equation is estimated with 3 types of data including the full sample, the North and the South regions, and six sub-economic regions. The empirical results present several important scientific contributions. First, the estimated results show the Kuznets curve hypothesis is confirmed in Vietnam when the relationship between income growth and inequality is presented by an inverted U-shaped curve. Second, the Kuznets curve does not occur in the provinces which have a high level of economic liberalization and a large private sector, as evidenced by the analysis of sub-samples. Economic integration is a progressive process provided foreign direct investment decreases inequality in most regions. Educational development helps to reduce inequality but this relationship is only found in the areas populated by ethnic minorities. The labour force has a positive and significant relationship to inequality, especially in regions with labour shortages, although this variable can even help reduce inequality in some sub-economic regions that have an abundance of labour. Tourism development and trade variables are considered to be the sources of inequality in lower development regions. The empirical results suggest that policymakers need to continuously reduce income inequality to support sustainable development in the future.
Analysis of gender wage gap in Lithuania

This study aims to discern and quantify the personal and labour market characteristics, which are most relevant to the persistence of a gender wage gap in Lithuania. The Oaxaca-Blinder model, employed in this study, revealed the largest explained gender wage gap to be attributable to the characteristics of occupation and industry. These contribute to the gap mainly by the horizontal and vertical segregation effects, as women are more concentrated in typically ‘feminine’ jobs, which pay less. The educational attainment of women is slightly higher than that of men, and this reduces the gender wage gap in the Lithuanian labour market. The analysis also revealed that work in the public sector entails an increase in the gap despite greater wage transparency and a more regulated remuneration mechanism. This is due to the ‘glass ceiling’ effect or the pervasive resistance to the efforts of female workers to reach the top rank positions, which we find to be stronger in the public sector.
Decreased Monocyte HLA-DR Expression in Patients with Sepsis and Acute Kidney Injury

Background and objectives: Acute kidney injury (AKI) is common in critically ill patients, especially those with sepsis. Persistently low human leukocyte antigen (HLA)-DR expression in monocytes reflects the decreased function of antigen-presenting cells, contributing to poor outcomes in sepsis. This study aimed to establish an association between AKI and HLA-DR expression in monocytes of patients with sepsis. Materials and Methods: We detected HLA-DR expression in monocytes and measured plasma levels of S100A12, high-mobility group box 1 (HMGB1), advanced glycation end products (AGE), and soluble receptor for AGE (sRAGE) from septic patients and healthy controls. Results: HLA-DR expression in monocytes was decreased in patients with AKI than in those without AKI (29.8 ± 5.0% vs. 53.1 ± 5.8%, p = 0.005). Compared with AKI patients, the mean monocyte HLA-DR expression in patients with end-stage renal disease was increased without statistical significance. There were no differences in the AGE/sRAGE ratio and plasma levels of S100A12, HMGB1, AGE, and sRAGE between patients with and without AKI. Conclusions: Compared with septic patients without AKI, patients with AKI had significantly lower HLA-DR expression in monocytes. The role of hemodialysis in monocyte HLA-DR expression needs further studies to explore.
Cervical Artery Dissections: Etiopathogenesis and Management

Abstract Cervical Artery Dissection (CeAD) is a frequent stroke etiology for patients younger than 50 years old. The most common immediate complications related to CeAD are headache and neck pain (65–95%), TIA/ischemic stroke (>50%), and partial Horner’s syndrome (25%). The prevailing hypothesis regarding the pathogenesis of sCeAD is that the underlying constitutional vessel wall weakness of patients with sCeAD is genetically determined and that environmental factors could act as triggers. The stroke prevention treatment of CeAD remains controversial, involving anticoagulation or antiplatelet therapy and potentially emergent stenting and/or thrombectomy or angioplasty for selected cases of carotid artery dissection with occlusion. The treatment of headache associated with CeAD depends on the headache phenotype and comorbidities. Radiographically, more than 75% of CeAD cases present with occlusion or non-occlusive stenosis. Many patients demonstrate partial and complete healing, more commonly in the carotid arteries. One-fifth of the patients develop dissecting pseudoaneurysm, but this is a benign clinical entity with an extremely low rupture and stroke recurrence risk. Good recovery is achieved in many CeAD cases, and mortality remains low. Family history of CeAD, connective tissue disorders like Ehlers-Danlos syndrome type IV, and fibromuscular dysplasia are risk factors for recurrent CeAD, which can occur in 3–9% of the cases. This review serves as a comprehensive, updated overview of CeAD, emphasizing etiopathogenesis and management.
Inhibition of CYP2C8 by Acyl Glucuronides of Gemfibrozil and Clopidogrel: Pharmacological Significance, Progress and Challenges

The lipid-regulating drug gemfibrozil is a useful medication for reducing high cholesterol and triglycerides in the blood. In addition to oxidation, it undergoes extensive glucuronidation to produce gemfibrozil acyl glucuronide, which is a known mechanism-based inactivator of cytochrome P450 (CYP) 2C8. Such selective and time-dependent inhibition results in clinically important drug–drug interactions (DDI) with the drugs metabolized by CYP2C8. Similarly, the acyl glucuronide of clopidogrel, a widely used antiplatelet agent, is a potent time-dependent inhibitor of CYP2C8 that demonstrated significant DDI with the substrates of CYP2C8. Current progress in atomic-level understanding mostly involves studying how different drugs bind and undergo oxidation in the active site of CYPs. It is not clear how an acyl glucuronide metabolite of the drug gemfibrozil or clopidogrel interacts in the active site of CYP2C8 and selectively inhibit the enzyme. This mini-review summarizes the current knowledge on some of the important clinical DDI caused by gemfibrozil and clopidogrel due to the inhibition of CYP2C8 by acyl glucuronide metabolites of these drugs. Importantly, it examines recent developments and potential applications of structural biology tools to elucidate the binding and orientation of gemfibrozil acyl glucuronide and clopidogrel acyl glucuronide in the active site near heme that contributes to the inhibition and inactivation of CYP2C8.