Miracle-dz/UniFAR-FTUs huggingface dataset:
Changes in Sensitization Patterns in the Last 25 Years in 619 Patients with Confirmed Diagnoses of Immediate Hypersensitivity Reactions to Beta-Lactams

Beta-lactam (BL) drugs are the antibiotics most prescribed worldwide due to their broad spectrum of action. They are also the most frequently implied in hypersensitivity reactions with a known specific immunological mechanism. Since the commercialization of benzylpenicillin, allergic reactions have been described; over the years, other new BL drugs provided alternative treatments to penicillin, and amoxicillin is now the most prescribed BL in Europe. Diagnosis of BL allergy is mainly based on skin tests and drug provocation tests, defining different sensitization patterns or phenotypes. In this study, we evaluated 619 patients with a confirmed diagnosis of BL-immediate allergy during the last 25 years, using the same diagnostic procedures with minor adaptations to the successive guidelines. The initial eliciting drug was benzylpenicillin, which changed to amoxicillin with or without clavulanic acid and cephalosporins in recent years. In skin tests, we found a decrease in sensitivity to major and minor penicillin determinants and an increase in sensitivity to amoxicillin and others; this might reflect that the changes in prescription could have influenced the sensitization patterns, thus increasing the incidence of specific reactions to side-chain selective reactions.
Determinants of access to agricultural credit among smallholder rice and maize farmers in the eastern and western provinces of Rwanda

Agricultural credit is believed to play a catalytic role in enhancing agricultural productivity; however, its access is limited for smallholder farmers in Rwanda. To investigate this phenomenon, this study sought to identify and assess the determinants of access to agricultural credit among rice and maize smallholder farmers in Rwanda. The study was conducted in the eastern and western provinces of Rwanda using a cross-sectional survey design. Sample districts, sectors, and cells were obtained using stratified random sampling techniques. Convenient and purposive samplings were used to sample households and farmers, respectively. Data were collected using structured interviews and questionnaires, and were analyzed using a binary logistic regression model. Model results indicated that both individual and institutional factors determine access to agricultural credit among smallholder maize and rice farmers in eastern and western provinces of Rwanda. The individualfactors included: saving of money in commercial banks (Adjusted Odds Ratio (AOR) = 2.389), owning a size of land that is 0-0.1 ha (AOR = 0.127), and knowledge of the repayment terms of agricultural loans (AOR = 0.203), while the institutional factors included: having privately-owned finance institutions in the area (AOR = 0.287), offer of both long and short-term loans (AOR = 0.290), interest rate between 11-15% (AOR = 0.178), the process for obtaining agricultural credit not being too long (AOR = 2.026). Institutional factors were more important than the individual farmer characteristics in determining access to credit. Policy interventions aimed at bolstering agricultural credit access among the smallholder farmers should address institutional challenges such as information asymmetry and the lack of credit guarantees that hinder agricultural credit access.
Agricultural productivity and access to market among farmers in Ekiti State, Nigeria

Agricultural productivity and the performance of smallholder agriculture in developing countries have been noted to be affected by access to markets. This study examined the access of smallholder farmers to input and output markets and the factors that affect agricultural productivity. A total of 336 smallholder farmers were selected in Ekiti State through multi-stage sampling technique. Data were obtained through the administration of structured questionnaire while descriptive statistics and Ordinary Least Square regression were used to analyze the data. The smallholder farms in the study area were characterized by non-uniform fragmented plots.Average age of the farmers was 48.12 years with mean farming experience of 24.97 years. Using proxies which include distance to physical markets and good roads, results of analysis showed that poor market access had significant (p = 5%) negative influence on agricultural productivity (t = –2.0). Access to infrastructure particularly good rural roads also had significant effect on agricultural productivity. Other factors such as farmers’ formal education (t = 4.50), farming experience (t = 3.39) and commercialization level (t = 1.86) also significantly affect farmers’ agricultural productivity. For the enhancement of access to markets and agricultural productivity, it was recommended that rural infrastructure such as good roads be put in place by appropriate agencies.
Analysis of Online DBA Algorithm with Adaptive Sleep Cycle in WDM EPON

ABSTRACT In order to manage Quality of Service (QoS) and energy efficiency in the optical access network, an online Dynamic Bandwidth Allocation (DBA) algorithm with adaptive sleep cycle is presented. This DBA algorithm has the ability to allocate an additional bandwidth to the end user within a single sleep cycle whose duration changes depending on the current buffers occupancy. The purpose of this DBA algorithm is to tune the duration of the sleep cycle depending on the network load in order to provide service to the end user without violating strict QoS requests in all network operating conditions.
Environmental Analysis of Waste-to-Energy—A Portuguese Case Study

Environmental evaluation of the waste treatment processes for the area of Greater Porto (Portugal) is presented for the year 2015. The raw data for the energy recovery plant (ERP) provided by the waste management entity were modelled into nine environmental impact categories, resorting to a life cycle assessment dedicated software (GaBi) for the treatment of 1 tonne of residues. Also, a sensitivity analysis was conducted for five scenarios in order to verify the assessment quality. Results were compared to two European average situations (typical incineration plant and sanitary landfill with no waste pre-treatment), which showed that these facilities perform better or at the same level as the average European situation, mostly due to the high efficiency observed at the ERP and to the electricity production in the incineration process. A detailed analysis concluded that these helped to mitigate the environmental impacts caused by some of the processes involved in the waste-to-energy technology (landfill showing the harder impacts), by saving material resources as well as avoiding emissions to fresh water and air. The overall performance of the energy recovery plant was relevant, 1 tonne of waste saving up to 1.3 million kg of resources and materials. Regarding the environmental indicators, enhanced results were achieved especially for the global warming potential (−171 kgCO2-eq.), eutrophication potential (−39 × 10−3 kgPO4-eq.) and terrestrial ecotoxicity potential (−59 × 10−3 kgDCB-eq.) categories. This work was the first to characterize this Portuguese incineration plant according to the used methodology, supporting the necessary follow-up required by legal frameworks proposed by European Union (EU), once this facility serves a wide populational zone and therefore is representative of the current waste management tendency in the country. LCA (life cycle assessment) was confirmed as a suitable and reliable approach to evaluate the environmental impacts of the waste management scenarios, acting as a functional tool that helps decision-makers to proceed accordingly.
The Challenges of Modular Learning in the Wake of COVID-19: A Digital Divide in the Philippine Countryside Revealed

The coronavirus pandemic (COVID-19) is a global health crisis that has affected educational systems worldwide. North Eastern Mindanao State University (NEMSU), a typical countryside academic institution in the Southern Philippines, did not escape this dilemma. The advent of remote learning to continue the students’ learning process has caused difficulties for both the students and the educational institutions. Thus, we conducted this study to assess the students’ level of submission of assigned tasks from printed remote learning modular materials under the College of Teacher Education of NEMSU. We evaluated whether the distance of students’ residences to the campus or the nearest online learning facilities affects the level of modular task retrievals. We also determined the current situation, challenges, and struggles of the students with remote learning. Our results showed that out of 392 printed learning modules sent to Bachelor of Elementary Education (BEED) students, 299 or 76% were retrieved. There were also 292 Bachelor of Secondary Education (BSED) students who received the learning modules, and 237, or 81%, complied with their tasks. We found that 68% of the total number of students reside within a <30 km radius, while 32% were within a 30–40 km radius. We also found that the distance of their residences from the NEMSU campus slightly affected the percentage of modular learning material retrievals for both the BEED and BSED students, with R2 = 0.38 and R2 = 0.07, respectively. Nonstructured interview results showed that most students were constrained by many challenges and struggles in complying with the tasks. These include internet connectivity problems, inadequate learning resources, difficulty understanding the module contents and assessment instructions, overloaded remote learning tasks, poor learning environment, and mental health problems. This study also revealed that the country’s digital divide became more apparent as we navigated this new mode of the remote learning system.
Surgical Management of Flexion Type Supracondylar Humeral Fracture With Ulnar Nerve Injury - A Report of a Rare Case

Supracondylar humerus fractures in children account for up to two-thirds of pediatric elbow injuries that require hospitalization. Supra-condylar fractures usually occur due to falls from height, from sports, or through acts of leisure. The estimation of their incidence is about 177.3 per 100000. Here, we report a successfully managed case of flexion-type supra-condylar fracture of the humerus with ulnar nerve injury without any complications.
Determinants of Premium and Penalty of Worker Income in Indonesia

The worker may be paid more than the worker with whom he is associated or may receive a penalty. This study provides (1) proportion of workers into the following categories: self employed; paid workers; formal workers and informal workers, (2) determinants of segmented workers' income premiums and penalties. Using micro data from the results of the National Labor Force Survey (Sakernas) in February 2020, this study measures the proportion of workers' income and uses a multiple regression model to analyze the determinants of segmented workers' income premiums and penalties in Indonesia. Our findings show that the proportion of income premium and penalty is almost the same, when workers are divided into formal, informal and self-employed, which is predominantly occupied by workers receiving income penalties. A larger proportion of income premiums are received by paid workers or labourers. Years of schooling and the square of years of schooling show a significant effect on the income premium of self-employed and the opposite results on the income penalty. The same thing was found in formal workers. Age, age squared, gender, area of residence show a significant effect on the income penalty of self-employed and income premium of formal workers.
New techniques for the characterisation of dynamical phenomena in solar coronal images

1 1 Instrumentation and data 5 1.1 The Extreme ultraviolet Imaging Telescope . 6 1.2 Large Angle and Spectrometric Coronagraph . 8 I Waves in the Corona 11 2 The MHD model 13 2.1 The MHD equations . 13 2.2 Three types of basic MHD waves . 15 2.3 The non-uniform corona . 17 3 Slow magnetoacoustic waves in coronal loops 19 3.1 Waves observed in the corona . 19 3.2 Data analysis . 21 3.2.1 Our data-set: JOP80 . 21 3.2.2 Analysis of the data . 25 3.2.3 Discussion . 34 3.3 Conclusion and future outlook . 37 II Coronal mass ejections 39 4 Automated CME detection 41 4.
High-Tech Ventures and Industry Incumbents: Knowledge Partnerships, Technological Knowhow, and Acquisition Likelihood

Even though high-tech ventures are acquired by industry incumbents, the phenomenon remains understudied, especially from the venture's perspective. By examining a sample of 1286 entrepreneurial biotech firms and their partnerships over a 25 year timeframe (1990–2015), we find that the high-tech venture's knowledge partnerships influence its acquisition prospects, and in unique ways. Technological knowhow combines with the firm's alliance partnerships with industry incumbents, influencing its acquisition likelihood. On their own, exploitative (explorative) partnerships have a positive (negative) impact on acquisition likelihood. Yet, in combination with the firm's technological knowhow, both types of partnerships significantly improve the venture's acquisition prospects.
Oxytocin Impairs the Recognition of Micro-Expressions of Surprise and Disgust

As fleeting facial expressions which reveal the emotion that a person tries to conceal, micro-expressions have great application potentials for fields like security, national defense and medical treatment. However, the physiological basis for the recognition of these facial expressions is poorly understood. In the present research, we utilized a double-blind, placebo-controlled, mixed-model experimental design to investigate the effects of oxytocin on the recognition of micro-expressions in three behavioral studies. Specifically, in Studies 1 and 2, participants were asked to perform a laboratory-based standardized micro-expression recognition task after self-administration of a single dose of intranasal oxytocin (40 IU) or placebo (containing all ingredients except for the neuropeptide). In Study 3, we further examined the effects of oxytocin on the recognition of natural micro-expressions. The results showed that intranasal oxytocin decreased the recognition speed for standardized intense micro-expressions of surprise (Study 1) and decreased the recognition accuracy for standardized subtle micro-expressions of disgust (Study 2). The results of Study 3 further revealed that intranasal oxytocin administration significantly reduced the recognition accuracy for natural micro-expressions of surprise and disgust. The present research is the first to investigate the effects of oxytocin on micro-expression recognition. It suggests that the oxytocin mainly plays an inhibiting role in the recognition of micro-expressions and there are fundamental differences in the neurophysiological basis for the recognition of micro-expressions and macro-expressions.
Association between Social Integration, Social Exclusion, and Vaccination Behavior among Internal Migrants in China: A Cross-Sectional Study

Cross-sectional studies about the association between social integration, social exclusion, and vaccination behavior among internal migrants in China are lacking. In this study, we aimed to explore the association between the influenza vaccination behavior and social integration as well as social exclusion in China based on a cross-sectional study. We included 12,467 participants aged 15 years old or above from the 2017 Migrant Population Dynamic Monitoring Survey (MDMS). We used univariate analysis and logistic regression models to access the association between social integration, exclusion status, and influenza vaccination rates. Results suggested that the association between social integration and the vaccination rate was significantly positive. Moving between different districts impact on people’s mental health and their health performance. Significant association between influenza vaccination behavior and education attainment, income status, health record, and awareness of basic public health services program was reported. Therefore, in order to reduce the incidence of influenza disease and increase the vaccination rate, policymakers and the public should promote social integration for internal migrants. Meanwhile, our finding also implies possible strategies to promote COVID-19 vaccination.
Transcriptomic and Functional Evidence for Differential Effects of MCF-7 Breast Cancer Cell-Secretome on Vascular and Lymphatic Endothelial Cell Growth

Vascular and lymphatic vessels drive breast cancer (BC) growth and metastasis. We assessed the cell growth (proliferation, migration, and capillary formation), gene-, and protein-expression profiles of Vascular Endothelial Cells (VECs) and Lymphatic Endothelial Cells (LECs) exposed to a conditioned medium (CM) from estrogen receptor-positive BC cells (MCF-7) in the presence or absence of Estradiol. We demonstrated that MCF-7-CM stimulated growth and capillary formation in VECs but inhibited LEC growth. Consistently, MCF-7-CM induced ERK1/2 and Akt phosphorylation in VECs and inhibited them in LECs. Gene expression analysis revealed that the LECs were overall (≈10-fold) more sensitive to MCF-7-CM exposure than VECs. Growth/angiogenesis and cell cycle pathways were upregulated in VECs but downregulated in LECs. An angiogenesis proteome array confirmed the upregulation of 23 pro-angiogenesis proteins in VECs. In LECs, the expression of genes related to ATP synthesis and the ATP content were reduced by MCF-7-CM, whereas MTHFD2 gene, involved in folate metabolism and immune evasion, was upregulated. The contrasting effect of MCF-7-CM on the growth of VECs and LECs was reversed by inhibiting the TGF-β signaling pathway. The effect of MCF-7-CM on VEC growth was also reversed by inhibiting the VEGF signaling pathway. In conclusion, BC secretome may facilitate cancer cell survival and tumor growth by simultaneously promoting vascular angiogenesis and inhibiting lymphatic growth. The differential effects of BC secretome on LECs and VECs may be of pathophysiological relevance in BC.
Nano-CaCO3 enhances PVA fiber-matrix interfacial properties: an experimental and molecular dynamics study

ABSTRACT The mechanical properties of fiber-reinforced concrete largely depend on its interfacial properties. Fibers with a low aspect ratio are often pulled out at the fracture surface, and the potential of fiber-reinforced concrete is far from being fully realized. This is because the fiber-matrix interface bond strength is weak, resulting in low fiber reinforcement efficiency， which is the main challenge for organic fiber reinforced concrete. To further optimize the reinforcing and toughening effect of fibers on concrete, in this study, nano-CaCO3 was used to treat PVA fibers by a sol-gel method, aiming to enhance the interfacial bonding properties of fiber-reinforced concrete. The mechanical properties test results show that the compressive strength and flexural strength of the modified PVA fiber reinforced concrete are increased by 8.1% and 35.95%, respectively. Finally, Molecular dynamics simulation results reveal the interaction mechanism between CaCO3 and the cement matrix-fiber interface. The CaC-S-H-OCaCO3 forms a high-strength interfacial connection and is stronger than the H bond formed at the C-S-H/PVA interface. Therefore, the C-S-H/CaCO3 interface interaction energy far exceeds that between C-S-H/PVA. Comprehensive analysis shows that nano-CaCO3 enhances the interfacial bonding performance of fiber-matrix, which has certain theoretical reference significance for developing high-performance fiber reinforced concrete.
Pathway of Building SMEs Performance in Cluster through Innovation Capability

The purpose of this study is to investigate the impact of business strategies and social capital on the performance of small and medium-sized firms (SMEs) that operate in small industry clusters. An emphasis is placed on examining the function of innovation capability in mediating this interaction. Data was acquired by sending questionnaires to various clusters in East Java, Indonesia, utilizing multi-stage sampling. The study then found 98 SME owners who had completed all of the surveys. The Partial Least Square approach was then utilized to evaluate the hypotheses using SmartPLS. The findings show that business strategies have no direct impact on performance. The impact of business strategy on performance appears to be mediated by innovation capabilities. On the other hand, social capital, as measured by bridging and linking social capital, has a direct impact on firm performance. As a result, this study suggests that SMEs improve their performance through increasing cluster social capital and increasing innovation capability. We recommend further research to replicate this study on large industry clusters. It is expected that the interplay between business strategies and social capital to performance will explain different result for the development of industry clusters.
The brain drain potential of skilled health workers from sub-Saharan Africa: A case study of pharmacy students in Nigeria

Background: The increasing migration of health workers from low- and middle-income countries is an ongoing public health concern. This study evaluated the brain drain potential of pharmacy students in Nigeria. Methods: This was a cross-sectional survey of final year pharmacy students from three Nigerian universities. Data collection was done via a 46-item self-administered questionnaire. Results: There were 377 respondents. Reasons for potential emigration included better standard of living (n=334, 88.6%), access to advanced technology (n=330, 87.5%) and opportunity for professional development (n=341, 90.5%) in the destination countries. Respondents younger than 25 years were more likely to have a high emigration potential compared to those older (98.6% vs 84.6%, ꭓ2=10.816, p=0.029). Conclusion: This study showed high emigration potential for the surveyed final year pharmacy students. This highlights the need for interventions that will promote retention and limit brain drain.