Miracle-dz/UniFAR-FTUs huggingface dataset:
Impact of travelers' consumer ethnocentrism on purchase and behavior intention: moderating effect of implicit prejudice

This study investigated the effects of rigid thinking, ideology, and explicit and implicit prejudices on consumer ethnocentrism. Explicit and implicit prejudices significantly affected consumer ethnocentrism, but not travel behavioral intention. Among the three variances—Asian–European American, skin tone, and Arab‐Muslim Implicit Association Test (IAT)—used as implicit prejudice control variables, only implicit prejudice regarding Arab‐Muslim names significantly affected travel product purchase intention and travel behavior. The results revealed that consumers with strong consumer ethnocentrism are likely to avoid purchasing overseas travel products. These findings suggest the introduction of customized tourism marketing methods in countries with strong ethnocentrism.
Circulation and heat budget in a regional climatological simulation of the Southwestern Tropical Atlantic.

Surface and vertical thermal structures, heat budget in the surface mixing layer, and mass transports are explored in the south-western tropical Atlantic (5oS-25oS / 20oW-47oW). That region, where part of the South Equatorial Current (SEC) enters at its eastern border, is of prime interest by feeding many western boundary currents along the eastern Brazilian edge, and by contributing to the climatic variability over the Northeast Brazil. The Regional Ocean Model System (ROMS) is used here to simulate a seasonal cycle of the ocean circulation with an isotropic horizontal grid resolution of 1/12o and 40 terrain-following layers. Such a high-resolution regional model allows illustrating the complexity of meso-scales phenomena which occur in that region. Model results are compared with the very first annual series of observed thermal profiles available in the region thanks to the three PIRATA-SWE moorings recently deployed. Simulated thermal structure at the upper ocean layers agrees with in-situ data set. Seasonal evolutions of atmospheric and oceanic balances involving in the mixing layer heat budget are locally discussed. The magnitude of oceanic components (mainly the vertical diffusion and the horizontal advection) is about of the same order than of atmospheric forcing, and practically always opposes to it, with some local and seasonal timing differences. Simulated meridional transports across three zonal sections extending from continent to PIRATA sites provide new insight in the knowledge of the western boundary current system. Another section running along the PIRATA-SWE array indicates how the divergence of SEC is complex. This result encourages the need and future expansion of the observational PIRATA array system in that region. Keywords: South Western Tropical Atlantic, Upper Ocean layers, Ocean heat budget, PIRATA-SWE moorings, ROMS
The Association of Post–Lung Transplant Pulmonary Embolism With the Development of Chronic Lung Allograft Dysfunction

Background. Pulmonary embolism (PE) is a rare yet serious postoperative complication for lung transplant recipients (LTRs). The association between timing and severity of PE and the development of chronic allograft lung dysfunction (CLAD) has not been described. Methods. A single-center, retrospective cohort analysis of first LTRs included bilateral or single lung transplants and excluded multiorgan transplants and retransplants. PEs were confirmed by computed tomography angiography or ventilation/perfusion (VQ) scans. Infarctions were confirmed on computed tomography angiography by a trained physician. The PE severity was defined by the Pulmonary Embolism Severity Index (PESI) score, a 30-d post-PE mortality risk calculator, and stratified by low I and II (0–85), intermediate III and IV (85–125), and high V (>125). PE and PESI were analyzed in the outcomes of overall survival, graft failure, and chronic lung allograft dysfunction (CLAD). Results. We identified 57 of 928 patients (6.14%) who had at least 1 PE in the LTR cohort with a median follow-up of 1623 d. In the subset with PE, the median PESI score was 85 (75.8–96.5). Most of the PESI scores (32/56 available) were in the low-risk category. In the CLAD analysis, there were 49 LTRs who had a PE and 16 LTRs (33%) had infarction. When treating PE as time-dependent and adjusting for covariates, PE was significantly associated with death (hazard ratio [HR] 1.8; 95% confidence interval [CI], 1.3-2.5), as well as increased risk of graft failure, defined as retransplant, CLAD, or death (HR 1.8; 95% CI, 1.3-2.5), and CLAD (HR 1.7; 95% CI, 1.2-2.4). Infarction was not associated with CLAD or death. The PESI risk category was not a significant predictor of death or CLAD. Conclusions. PE is associated with decreased survival and increased hazard of developing CLAD. PESI score was not a reliable predictor of CLAD or death in this lung transplant cohort.
Surface Exploration Case Histories: Applications of Geochemistry, Magnetics, and Remote Sensing

Surface Exploration Case Histories: Applications of Geochemistry, Magnetics, and Remote Sensing provides an overview of successful applications of surface exploration methods. Through a series of independent case histories, this volume presents clearly documented evidence that demonstrates how surface exploration methods can significantly reduce exploration risk and finding costs: geochemical, magnetic, and remote sensing. The 19 chapters in this volume reflect the broad scope of applications for these methods: frontier basin reconnaissance, prospect development, prospect evaluation, and field development and production. The case histories span the globe: 1. North America 2. Africa 3. South America 4. Europe 5. Middle East 6. Australia. This book will interest explorationists and managers who seek to get the most out of each exploration dollar.
Effect of COVID-19 Pandemic on Knowledge, Attitude and Practices Towards Antenatal Care Among Antenatal Women: A Study From a Tertiary Care Hospital in Delhi, India

Objective: Effect of the COVID-19 pandemic on knowledge, attitude, and practices toward antenatal care among antenatal women. Design: Prospective observational study. Method: After taking written and informed consent, 3000 term/near-term SARS CoV2-negative antenatal women admitted to the hospital for emergency were enrolled; excluding those in advance labour or critically ill. An interview was conducted and a knowledge, attitude, and practices (KAP) questionnaire was filled out based on verbatim answers. All women were then given individualized antenatal and postnatal care as per hospital protocols and discharged accordingly. The data obtained during the study was recorded on predesigned case proforma and analysed at the end of the study using the SPSS v. 23 software, after the application of appropriate statistical tests. Main result: All women knew about the pandemic and its signs and symptoms along with precautions to be taken. Most of the women 2652 (88.4%) thought that they were at increased risk of contracting an infection during pregnancy and 2208 (73.6%) thought that coronavirus can harm the baby and will increase the risk of pregnancy. Awareness of nearby health facilities providing antenatal care was in 71.2% and 94% were aware of functional outpatient department services but only 1.4% were aware of teleconsultation services. About 2094 women have had any ANC visits. All of them knew that taking iron, Ca and vitamin supplements and getting an ultrasound and investigations were necessary but only 1524 (50.8%) took these supplements regularly, 1752 (58.4%) got their ultrasound done and 41.6% got investigations done. Two thousand four hundred thirty-six (81.2%) women had this fear that they would contract COVID-19 infection during their visit to the hospital. All the respondents of our study wanted to have hospital delivery and knew that it was necessary to have ANC registration and none of them wanted to have home delivery. Conclusion: Mastering correct knowledge will foster a positive attitude among antenatal women and will not only prevent disease transmission but also improve pregnancy outcomes.
ToolPhet: Inference of Compiler Provenance From Stripped Binaries With Emerging Compilation Toolchains

Identifying compiler toolchain provenance serves as a basis for both benign and malicious binary analyses. A wealth of prior studies mostly focuses on the inference of a popular compiler toolchain for C and C++ languages from stripped binaries that are built with GCC or clang. Lately, the popularity of an emerging compiler is on the rise such as Rust, Go, and Nim programming languages that complement the downsides of C and C++ (e.g., security), which little has been explored on them. The main challenge arises when applying previous inference techniques for toolchain provenance because some emerging compilation toolchains adopt the same backend of traditional compilers. In this paper, we propose ToolPhet, an effective end-to-end BERT-based system for deducing the provenance of both traditional and emerging compiler toolchains. To this end, we thoroughly study the characteristics of both an emerging toolchain and an executable binary that is generated by that toolchain. We introduce two separate downstream tasks for the compiler toolchain inference with a (BERT-based) fine-tuning process, which produces 1) a toolchain classification model; and 2) a binary code similarity detection model. Our findings show that the classification model 1) may not suffice when producing a binary with the existing backend like Nim, which we adopt the detection model 2) that can infer underlying code semantics. We evaluate ToolPhet with the previous work including one signature-based tool and four machine-learning-based approaches, demonstrating its effectiveness by achieving higher F1 score s with the binaries compiled with emerging compilation toolchains.
Fabrication of briquettes from charcoal fines using tannin formaldehyde resin as a binder

Charcoal fines, a waste emanating from charcoal transportation and handling, were utilized in the fabrication of briquettes using tannin-formaldehyde resin as a binder to meet ever expanding energy demand. A collection of four briquette samples were fabricated with binder proportions of 25%, 30%, 35%, and 40%. These briquettes were characterized using Fourier transform infra-red and thermogravimetric analyses techniques. Furthermore, the briquettes were subjected to physical parameters namely bulk density, impact resistance index (IRI), water resistance index (WRI), and water boiling test. The bulk density of the briquettes was 1.153-1.495 g/cm3, IRI was 6.79-73.33, and WRI was 99.24-99.29. The briquettes exhibited an ignition time of 5.38-6.21 minutes, boiling time of 19.50-37.20 minutes, burning rate of 3.20-8.70 g/minute, and a specific fuel consumption of 54.70-64.30 g/L. Higher heating value range for the briquettes was 19.76-23.23 MJ/kg and the briquettes with 40% binder showed the best physical qualities with great fuel potential. Therefore, the fabricated briquettes have demonstrated great potential as a source of cleaner and sustainable energy.
Composition of the essential oil and head space of flowers of Jasminum sambac (Linn) Ait

Jasminum sambac is cultivated in several parts of the country and extensively in Andhra Pradesh at Pedavadlapudi (Krishna district) and Saluru (Srikakulam district). Recently distillation of essential oil at these places has been initiated and we had the opportunity of collecting samples of these essential oils and also that is distilled at Kannauj, U.P. We have analysed these oils for their constituents by GC and GC-MS. We have also carried out headspace analysis of jasmine flowers growing at Bhubaneswar using the technique of Solid Phase Micro Extraction.
Identification of GM1-Ganglioside Secondary Accumulation in Fibroblasts from Neuropathic Gaucher Patients and Effect of a Trivalent Trihydroxypiperidine Iminosugar Compound on Its Storage Reduction

Gaucher disease (GD) is a rare genetic metabolic disorder characterized by a dysfunction of the lysosomal glycoside hydrolase glucocerebrosidase (GCase) due to mutations in the gene GBA1, leading to the cellular accumulation of glucosylceramide (GlcCer). While most of the current research focuses on the primary accumulated material, lesser attention has been paid to secondary storage materials and their reciprocal intertwining. By using a novel approach based on flow cytometry and fluorescent labelling, we monitored changes in storage materials directly in fibroblasts derived from GD patients carrying N370S/RecNcil and homozygous L444P or R131C mutations with respect to wild type. In L444P and R131C fibroblasts, we detected not only the primary accumulation of GlcCer accumulation but also a considerable secondary increase in GM1 storage, comparable with the one observed in infantile patients affected by GM1 gangliosidosis. In addition, the ability of a trivalent trihydroxypiperidine iminosugar compound (CV82), which previously showed good pharmacological chaperone activity on GCase enzyme, to reduce the levels of storage materials in L444P and R131C fibroblasts was tested. Interestingly, treatment with different concentrations of CV82 led to a significant reduction in GM1 accumulation only in L444P fibroblasts, without significantly affecting GlcCer levels. The compound CV82 was selective against the GCase enzyme with respect to the β-Galactosidase enzyme, which was responsible for the catabolism of GM1 ganglioside. The reduction in GM1-ganglioside level cannot be therefore ascribed to a direct action of CV82 on β-Galactosidase enzyme, suggesting that GM1 decrease is rather related to other unknown mechanisms that follow the direct action of CV82 on GCase. In conclusion, this work indicates that the tracking of secondary storages can represent a key step for a better understanding of the pathways involved in the severity of GD, also underlying the importance of developing drugs able to reduce both primary and secondary storage-material accumulations in GD.
Role of the Community in Influencing Enrolment of Children in Schools in Juba County, South Sudan

The government of South Sudan introduced free primary education for all to ensure children go to school and attain basic education. This study assessed community involvement in children`s enrolment and learning. Through their responses using focus group discussions and in-depth interviews, it was established that there were wide range of community members that influenced children’s schooling and learning. This was captured in past studies which typically focused on structured forms of community engagement that take place within the schools. The pupils’ reports on their perceptions of the community members’ influence on learning and schooling were mainly positive. They included: dispute resolution, health care, financial and material support, political advocacy, and infrastructure development. The negative influence by the community members were reported as holding back learning from attending school, insecurity, distractions such as noise; land disputes with schools. Although this study generated a lot of positive responses on the role of the community members in influencing children schooling and learning, resource mobilization as the key aspect of engagement is worth considering
A Multilevel Wavelet Decomposition Network Hybrid Model Utilizing Cyclic Patterns for Stock Price Prediction

Stock price prediction is an important and complex time-series problem in academia and financial industries. Stock market prices are voted by all kinds of investors and are influenced by various factors. According to the literature studies, such as Elliott’s wave theory and Howard’s market cycle investment theory, the cyclic patterns are significant characteristics of the stock market. However, even several studies that do consider cyclic patterns (or similar concepts) suffered from the data leakage or boundary problems, which could be impractical for real applications. Inspired by the abovementioned, we propose a hybrid deep learning model called mWDN-LSTM, which correctly utilizes the cyclic patterns’ information to predict stock price while avoiding the data leakage and alleviating boundary problems. According to the experiments on two different datasets, our model mWDN-LSTM outperforms the well-known benchmarks such as CNN-LSTM on the same experimental setup and demonstrates the effectiveness of utilizing cyclic patterns in stock price prediction.
A new model for predicting the drag exerted by vegetation canopies

The influence of vegetation canopies on the flow structure in streams, rivers, and floodplains is heavily dependent on the cumulative drag forces exerted by the vegetation. The drag coefficients of vegetation elements within a canopy have been shown to be significantly different from the well‐established value for a single element in isolation. This study investigates the mechanisms that determine canopy flow resistance and proposes a new model for predicting canopy drag coefficients. Large Eddy Simulations were used to investigate the fine‐scale hydrodynamics within emergent canopies with solid area fractions ( λ ) ranging from 0.016 to 0.25. The influences of three mechanisms in modifying canopy drag, namely, blockage, sheltering, and delayed separation, were investigated. While the effects of sheltering and delayed separation were found to slightly reduce the drag of very sparse canopies, the blockage effect significantly increased the drag of denser canopies ( λ≳0.04 ). An analogy between canopy flow and wall‐confined flow around bluff bodies is used to identify an alternative reference velocity in the definition of the canopy drag coefficient; namely, the constricted cross‐section velocity (Uc). Through comparison with both prior experimental data and the present numerical simulations, typical formulations for the drag coefficient of a single cylinder are shown to accurately predict the drag coefficient of staggered emergent canopies when Uc is used as the reference velocity. Finally, it is shown that this new model can be extended to predict the bulk drag coefficient of randomly arranged vegetation canopies.
Intention to Sell on E-Marketplace: Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Conditions, Price Value

The rapid growth of electronic marketplaces in Indonesia, coupled with government encouragement for businesses, necessitates a thorough understanding of sellers' adoption factors. This study investigates the influences on e-marketplace application adoption among active Indonesian sellers, incorporating gender, age, and experience as moderating variables. Employing SMARTPLS4 and PLS SEM analysis, the research identifies significant impacts of effort expectancy, performance expectancy, and price value on e-marketplace selling behavior. Contrarily, facilitating conditions and social influence show no effect. Age moderation significantly influences effort expectancy and price value, emphasizing the importance of tailored strategies for different age groups. Gender and experience, however, do not significantly moderate the results. Sellers' expectations emphasize the need for stakeholders to ensure fairness in online transactions, urging the government to establish appropriate e-marketplace regulations, aligning with sellers' needs for a thriving digital marketplace ecosystem.
Effect of Yttrium Treatment on Germanium-Oxide-Based Interfacial Layer of Ge P-Channel Metal–Oxide–Semiconductor Field-Effect Transistor Fabricated Through in Situ Plasma-Enhanced Atomic Layer Deposition

This study investigated the effect of yttrium (Y) treatment on a germanium (Ge)-oxide-based interfacial layer (IL) through in situ plasma-enhanced atomic layer deposition (PEALD). Time-of-flight secondary-ion mass spectrometry revealed that the surface reaction and deposition could be successfully performed with a Y precursor, and X-ray photoelectron spectroscopy (XPS) revealed that Y treatment on an IL can suppress GeOx volatilization. A metal–oxide–semiconductor capacitor gate-stack with a Y-GeOx IL has a low leakage current density (<inline-formula> <tex-math notation="LaTeX">$2.1\times 10^{-{5}}$ </tex-math></inline-formula> A/cm2) and a low interface trap density (approximately <inline-formula> <tex-math notation="LaTeX">$5.5\times 10^{{11}}$ </tex-math></inline-formula> eV−1 cm−2) under optimized temperatures. Moreover, the Ge P-channel metal–oxide–semiconductor field-effect transistor (P-MOSFET) containing a gate-stack with a Y-treated Ge-oxide-based IL exhibited a high <inline-formula> <tex-math notation="LaTeX">${I} _{ \mathrm{\scriptscriptstyle ON}}/{I} _{ \mathrm{\scriptscriptstyle OFF}}$ </tex-math></inline-formula> ratio and low OFF-state current. Therefore, applying the proposed Y treatment on the IL of a Ge P-MOSFET can help achieve a subnanometer equivalent oxide thickness (EOT) and an extremely low gate leakage current.
Development of E-Module Integrated with Education for Sustainable Development (ESD) on Enviromental Change Material

This study aims to develop an E-Module Integrated with Education for Sustainable Development (ESD) on Enviromental Change Material and determine the practicality and feasibility of the developed product. This research is a type of Research and Development (R&D) research using the Design and Development Research (D&DR) development model. The development procedure in this development model consists of 6 stages, namely identify the problem, describe the objectives, design and develop the artifact, test the artifact, evaluating testing results, and communicate the testing results. The subjects in this study were lecturer validators of material experts and media experts, biology teachers and students of class XI IPA SMA. The instruments used in this study were questionnaire instruments for validation of material experts and media experts as well as questionnaires for responses from biology teachers and students. Based on the tests that have been carried out, the media expert assessment gets a score of 76.7% with the category "feasible". The material expert assessment scored 98.3% with the category "very feasible". Biology teacher assessment scored 95% with the category "very practical", and student assessment scored 87.98% with the category "very practical". Based on the tests that have been carried out, it is known that the E-Module Integrated with Education for Sustainable Development (ESD) on Enviromental Change Material developed is feasible and practical to use as teaching material.
Humoral and Cellular Immune Response after Three Doses of Sinopharm [Vero Cell]-Inactivated COVID-19 Vaccine in Combination with SARS-CoV-2 Infection Leads to Hybrid Immunity

Background: Several vaccines against COVID-19 have been developed and licensed to enhance the immune response against SARS-CoV-2. Similarly, previous infection with SARS-CoV-2 has been shown to provide significant protection against severe infection and hospitalization. Methods: We investigated the effect of three doses of the Sinopharm vaccine and SARS-CoV-2 infection on the specific immune response in 103 volunteers, measuring neutralizing antibodies, anti-S1 IgG, anti-RBD IgM, anti-N IgM, anti-N IgG antibodies, and INF γ. Results: Our results showed that the presence of cardiovascular diseases increased the level of anti-N-IgG antibodies, while endocrinological diseases decreased the level of neutralizing antibodies and anti-N IgG antibodies, suggesting that these diseases alter the effect of vaccine-induced immunity. In addition, there was a significant decrease in anti-S1 IgG levels at 6 months and in anti-N IgG levels 18 months post-infection, while neutralizing antibodies and INF γ levels were constant at 3, 6, and 18 months post-infection. Conclusions: Our results confirm the emergence of hybrid immunity, which is the strongest and most durable compared to natural immunity or vaccine-induced immunity. Significant positive correlations were found between humoral and cellular immunity markers: neutralizing antibodies, anti-S1 IgG and anti-N IgG antibodies, and INF γ, indicating a unique coordinated response specific to COVID-19.