Miracle-dz/UniFAR-FTUs huggingface dataset:
Impact of Social Media Exposure on Risk Perceptions, Mental Health Outcomes, and Preventive Behaviors during the COVID-19 Pandemic in Saudi Arabia

Introduction: Social media has played a key role in mediating the communication of information during the COVID-19 pandemic. The way information is shared through social media shapes people’s risk perceptions, which in turn affects their mental health and behaviors. This study aimed to assess social media’s impact on the public’s risk perceptions, mental health, and preventive behaviors during the peak of the COVID-19 pandemic. Methods: A Web-based survey was developed to assess social media exposure, risk perceptions, mental health, and COVID-19-related preventive behaviors among adults in Saudi Arabia. Multivariate logistic regression analysis was used to identify the association between social media exposure and key measurements. Results: A total of 1,500 individuals participated in the study; of those, 93.2% of participants reported using social media for COVID-19-related information. Twitter (68.3%) followed by Snapchat (25.1%) were the most used platforms. About 44.4% of participants were highly exposed to social media. High social media exposure was significantly associated with higher risks of anxiety (OR = 1.56, 95% CI: 1.19–2.05) and depression (OR = 1.47, 95% CI: 1.01–2.81) and higher levels of COVID-19 risk perception (OR = 1.43, 95% CI: 1.08–1.89). However, social media has no significant impact on the adoption of preventive behaviors. Discussion/Conclusion: Our results were consistent with the other international studies that were conducted during the COVID-19 pandemic. The anticipated future increase in social media use urges the need for longitudinal studies to investigate the psychological and behavioral effects of social media during emerging pandemics.
Geotechnology-based Spatial Learning: The Effects on Spatial Abilities and Sketch Maps in an Inter-Cultural Study

Abstract. GIS have been coined as a support to thinking and learning spatially. In particular spatial learning in real environments can be supported by Geotechnologies as location-based games. We investigate how the use of a custom map-based geocaching game influences the individual development of spatial abilities and sketch mapping. We present a cross-cultural study with primary school children consisting of two spatial ability tests and a sketch map task in a pre- and post-test setting. Improvements were found in mental rotation and sketch map perspective, individual differences in culture and gender decreased for the experimental group. We conclude with a discussion of prospects and problems of integrating this type of GIS into education and learning.
Classic Evans’s Drop Corrosion Experiment Investigated in Terms of a Tertiary Current and Potential Distribution

Background: Evans’s drop is a classic corrosion experiment that is nearly 100 years old, and it is analogous to other corrosion systems promoted by O2 gradients. The availability of more robust finite element software packages opens the possibility to reach a deeper understanding of these kind of corrosion systems. Methodology: In order to solve the problem, the model includes the governing mass transport diffusion and migration equation and the material balance in a nonsteady state by the finite element method. This is performed using COMSOL Multiphysics to predict the tertiary current and potential distribution considering the geometry, reaction kinetics, and mass transport for each ionic species. Significant Findings: A simulation of the tertiary current and potential distribution of the Evans’s drop corrosion experiment on an iron surface is presented. An oxygen concentration difference of 0.18 mol m−3 between the center and the drop periphery sets up a potential difference of 60 mV which acts as a corrosion driving force. Reaction kinetics are described by Tafel equations. Results include the evolution of concentration profiles for OH−, Fe2+, Fe3+, Fe(OH)2, and Fe(OH)3.
Economic precarity and mental health during the COVID-19 pandemic: findings from the census household pulse survey (2020–2021)

Abstract The coronavirus pandemic has had devastating mental health consequences across the world. Among others, economic uncertainty created by job loss due to the pandemic has been a main culprit. This study examines the deleterious effect of losing a job personally or living with a family member who did on mental health among American adults. We also examine whether this link varies across two measures of vulnerability at the individual level (low household income and ethnic minority status). We further run cross-level interaction models between job loss and two contextual moderators (COVID-19 cases and community social capital). Based on multilevel analysis of Census House Pulse Survey consisting of U.S. probability samples collected over a 10-month period between April 2020 and February 2021, we find strong support for the positive relationship between job loss and mental distress, which is more pronounced among Americans with lower household income. This relationship also increases in regions with higher average coronavirus infections but decreases in places with higher stock of social capital.
Hearing in Noise: The Importance of Coding Strategies—Normal-Hearing Subjects and Cochlear Implant Users

Two schemes are mainly used for coding sounds in cochlear implants: Fixed-Channel and Channel-Picking. This study aims to determine the speech audiometry scores in noise of people using either type of sound coding scheme. Twenty normal-hearing and 45 cochlear implant subjects participated in this experiment. Both populations were tested by using dissyllabic words mixed with cocktail-party noise. A cochlear implant simulator was used to test the normal-hearing subjects. This simulator separated the sound into 20 spectral channels and the eight most energetic were selected to simulate the Channel-Picking strategy. For normal-hearing subjects, we noticed higher scores with the Fixed-Channel strategy than with the Channel-Picking strategy in the mid-range signal-to-noise ratios (0 to +6 dB). For cochlear implant users, no differences were found between the two coding schemes but we could see a slight advantage for the Fixed-Channel strategies over the Channel-Picking strategies. For both populations, a difference was observed for the signal-to-noise ratios at 50% of the maximum recognition plateau in favour of the Fixed-Channel strategy. To conclude, in the most common signal-to-noise ratio conditions, a Fixed-Channel coding strategy may lead to better recognition percentages than a Channel-Picking strategy. Further studies are indicated to confirm this.
Sustainability knowledge management and organisational learning in tourism: current approaches and areas for future development

Abstract Tourism is one of the major drivers of socio-economic growth. For tourism organisations to remain competitive, they must be able to adapt to the current dynamic scenario where the sector operates. Organisational learning strategies can provide the sector with the knowledge required to transform tourism research and intellectual property into capabilities for the industry and stimulate tourism models with a minimal effect on the environment. Knowledge management involves managing tacit and explicit information in a way that ensures it is available where and when needed. From a knowledge management perspective, environmental learning refers to the processes of acquiring, distributing and using knowledge of the natural environment, involving the processes of socialisation, externalisation, combination and internalisation of knowledge and its central aim is to improve performance. This article describes how knowledge management and organisational learning can help to achieve a sustainable tourism sector. Sustainability in this context is understood as efforts to progress simultaneously in environmental, societal and economic development. The article argues that the principles of sustainable tourism lead to both improved strategies and avenues for future research, provided they are informed and supported by learning and knowledge management; value co-creation; co-operation and trust-building; corporate social responsibility and pro-environmental behaviour.
How Variation in Risk Allele Output and Gene Interactions Shape the Genetic Architecture of Schizophrenia

Schizophrenia is a highly heritable polygenic psychiatric disorder. Characterization of its genetic architecture may lead to a better understanding of the overall burden of risk variants and how they determine susceptibility to disease. A major goal of this project is to develop a modeling approach to compare and quantify the relative effects of single nucleotide polymorphisms (SNPs), copy number variants (CNVs) and other factors. We derived a mathematical model for the various genetic contributions based on the probability of expressing a combination of risk variants at a frequency that matched disease prevalence. The model included estimated risk variant allele outputs (VAOs) adjusted for population allele frequency. We hypothesized that schizophrenia risk genes would be more interactive than random genes and we confirmed this relationship. Gene–gene interactions may cause network ripple effects that spread and amplify small individual effects of risk variants. The modeling revealed that the number of risk alleles required to achieve the threshold for susceptibility will be determined by the average functional locus output (FLO) associated with a risk allele, the risk allele frequency (RAF), the number of protective variants present and the extent of gene interactions within and between risk loci. The model can account for the quantitative impact of protective variants as well as CNVs on disease susceptibility. The fact that non-affected individuals must carry a non-trivial burden of risk alleles suggests that genetic susceptibility will inevitably reach the threshold for schizophrenia at a recurring frequency in the population.
Influence of Juvenile Growth on Xylem Safety and Efficiency in Three Temperate Tree Species

The evolution of the internal water transport system was a prerequisite for high plant productivity. In times of climate change, understanding the dependency of juvenile growth on xylem hydraulic physiology is therefore of high importance. Here, we explored various wood anatomical, hydraulic, and leaf morphological traits related to hydraulic safety and efficiency in three temperate broadleaved tree species (Acer pseudoplatanus, Betula pendula, and Sorbus aucuparia). We took advantage of a severe natural heat wave that resulted in different climatic growing conditions for even-aged plants from the same seed source growing inside a greenhouse and outside. Inside the greenhouse, the daily maximum vapour pressure deficit was on average 36% higher than outside during the growing seasons. Because of the higher atmospheric moisture stress, the biomass production differed up to 5.6-fold between both groups. Except for one species, a high productivity was associated with a high hydraulic efficiency caused by large xylem vessels and a large, supported leaf area. Although no safety-efficiency trade-off was observed, productivity was significantly related to P50 in two of the tree species but without revealing any clear pattern. A considerable plasticity in given traits was observed between both groups, with safety-related traits being more static while efficiency-related traits revealed a higher intra-specific plasticity. This was associated with other wood anatomical and leaf morphological adjustments. We confirm that a high hydraulic efficiency seems to be a prerequisite for a high biomass production, while our controversial results on the growth–xylem safety relationship confirm that safety-efficiency traits are decoupled and that their relationship with juvenile growth and water regime is species-specific.
Facile Ultrasound-Assisted Green Synthesis of NiO/Chitosan Nanocomposite from Mangosteen Peel Extracts as Antibacterial Agents

In this study, NiO/chitosan (NiO/CS) nanocomposite was synthesized via a green method in which nickel nitrate hexahydrate as a precursor and mangosteen (Garcinia mangostana L.) peel extract as a reducing agent using an ultrasound-assisted coprecipitation method. The NiO/CS nanoparticles were characterized by X-ray diffraction, Fourier-transform infrared (FTIR) spectroscopy, transmission electron microscopy, and dynamic light scattering. NiO/CS nanocomposite had a cubic spinel structure and contained NiO nanoparticles with good crystallinity. The appearance of the Ni–O band at 465 cm−1 in the FTIR spectrum confirmed the formation of NiO. The NiO/CS nanocomposite sizes ranged from 14–30 nm with an average particle size of 28 nm. Magnetic characterization results show that the saturation magnetism is quite high, contributing to NiO/CS being available in many applications. The antibacterial efficacy of NiO/CS nanocomposites was tested against Saccharomyces cerevisiae along with Gram-positive (Bacillus subtilis) and Gram-negative (Escherichia coli) bacteria using the disc diffusion method and determined the minimum inhibitory concentration (MIC).
Osimertinib in non-small cell lung cancer with uncommon EGFR-mutations: a post-hoc subgroup analysis with pooled data from two phase II clinical trials

Background Osimertinib is standard of care for EGFR-mutated non-small cell lung cancer (NSCLC) patients. The efficacy of the drug in patients with mutations other than the common deletion in exon 19 and L858R in exon 21 is largely unknown. Methods We identified patients with uncommon EGFR-mutations from two prospective clinical phase II, single-arm studies for previously treated patients and untreated patients, respectively, and pooled data for this analysis. All patients received treatment with osimertinib 80 mg daily until radiological progression or death. The primary endpoint of both trials was objective response rate (ORR), with progression-free survival (PFS), overall survival (OS) and intracranial efficacy as key secondary endpoints. Circulating tumour DNA (ctDNA) was analysed before and two weeks after treatment initiation in the first line cohort. Results Of 299 enrolled patients in the two trials, 21 patients with uncommon mutations were identified; 12 patients had a single mutation (G719X or L861Q), one patient had L861Q and an exon 20 insertion, and 8 patients had compound mutations with G719X and either L861Q or S768I. Three of the 10 pretreated patients had the T790M resistance mutation. ORR was 47.6% and disease control rate (DCR) 85.7%. The median duration of response (DoR) was 7.9 months. Among 11 patients treated with osimertinib in first line, ORR was 63.6% vs. 30.0% of 10 previously treated patients. The median PFS was 5.5 months in both groups. Patients with G719X-compound mutations had a higher response rate (62.5% vs. 38.5%), a longer median PFS (13.7 vs. 3.5 months) and median OS (29.3 vs. 7.5 months) than patients with other mutations. Most first line treated patients (81.8%) displayed a reduction in ctDNA after two weeks of treatment. Conclusions Osimertinib demonstrates activity in patients with uncommon EGFR-mutations, and especially for G719X-compound mutations.
Study of PEM Fuel Cell End Plate Design by Structural Analysis Based on Contact Pressure

A fuel cell stack is configured to power any load ranging from watts to megawatt by varying cells connected in series. During stack assembly, major emphasis must be placed on application of adequate external pressure for reducing the ohmic losses, the purpose of which is to achieve proper contact between the cell components and minimize the contact resistance. Present work aims to study the influence of geometry of the cell, bolt configuration, gasket thickness mismatch, and material properties of different components of average and distribution contact pressure. The geometries are evaluated for end plate designs with a view to understand the pressure distribution and contact resistance in each case. Among different designs, extruded hexagon is found to perform well with an average contact pressure of 0.13 MPa and contact resistance of 28 Ω-cm2. Greater gasket thickness requires higher forces to be applied before the GDL makes contact with BPP. The effect of gasket thickness mismatch is evaluated for different values to identify its appropriate value. The pressure is applied using bolts and position and number of bolts is determined for homogeneous contact pressure on the active area. This study provides a framework for future end plate design of fuel cells.
Large Eddy Simulation of Turbulent Attached Cavitating Flows around Different Twisted Hydrofoils

In this paper, the turbulent attached cavitating flows around two different twisted hydrofoils, named as NACA0009 and Clark-y, are studied numerically, with emphasis on cavity shedding dynamic behavior and the turbulence flow structures. The computational method of large eddy simulation (LES) coupled with a homogeneous cavitation model is applied and assessed by previous experimental data. It was found that the predicted results were in good agreement with that of the experiment. The unsteady cavity morphology of the two hydrofoils undergoes a similar quasi-periodic process, but has different shedding dynamic behavior. The scale of the U-type shedding structures forming on the suction surface of NACA0009 is larger than that of Clark-y. This phenomenon is also present in the iso-surface distributions of Q-criterion. Otherwise, the time-averaged cavity morphology is dramatically different for the two hydrofoils, and it is found that the attached location of the cavity is closely related to the hydrofoil geometry. The time fluctuation of the lift force coefficients is affected significantly by the cavity shedding dynamics. Compared with NACA0009, the lift force of Clark-y shows more fluctuation, due to its complicated shedding behavior. Further analysis of the turbulent structure indicates that the more violent shedding behaviors can induce higher levels of turbulence velocity fluctuations.
Improving subacute management of post concussion symptoms: a pilot study of the Melbourne Paediatric Concussion Scale parent report

Aim: To pilot a modification of the Post Concussion Symptom Inventory, the Melbourne Paediatric Concussion Scale (MPCS) and examine its clinical utility. Materials & methods: A total of 40 families of concussed children, aged 8–18 years, were recruited from the emergency department. Parent responses to the MPCS in the emergency department and 2-weeks post injury determined child symptomatic status. Association between MPCS symptom endorsement and symptomatic group status was examined. Results: All additional MPCS items were endorsed by at least 25% of the parents of symptomatic children at 2 weeks. MPCS items were classified into nine symptom domains, with most falling in mood, neurological, autonomic and vestibular domains. Conclusion: The additional items and domain classifications in the MPCS have the potential to improve subacute diagnostic precision, monitoring of clinical recovery and identification of appropriate interventions post pediatric concussion.
Fraudulent Financial Reporting Analysis on Non-Financial Companies Listed on IDX in Hexagon Fraud Perspective

Financial statements as a medium for companies to provide information for users must be free from material misstatements caused by errors or fraud so as not to mislead users of financial statements. The negligence or intentional material nature of the matter may affect interested parties in making decisions(Suryani, 2019). The main factor that distinguishes error from fraud is that the underlying action is carried out intentionally or unintentionally. Professional Standards of Public Accountants (SPAP) in Statement of Accounting Standards (PSA) No. 70 defines fraudulent financial reporting as a misstatement or intentional omission of amounts or disclosures in financial statements to deceive users of financial statements and the resulting effect is a non-conformity of financial statements in all material respects with generally accepted accounting principles. Fraud financial reporting (FFR) is fraud committed by management because of an opportunity, namely the opportunity for management to choose the most profitable accounting method, such as valuation. SurveyACFE Indonesia (2020)stated that there are three main categories of fraud, namely asset misappropriations, corruption, and financial statement fraud. Based on the ACFE survey, cases of financial statement fraud (financial statement fraud) are the fewest cases, which are 13% compared to asset misappropriation and corruption, but financial statement fraud causes the largest loss with an average loss US$ 700,000.Kusumosari & Solikhah (2020)stated that this small percentage is suspected because in Indonesia there are still many crimes originating from financial statement fraud Abstract
Supplement to the knowledge of aquatic molluscs of greenhouses in the Czech Republic

This study expands and supplements the knowledge of aquatic molluscs of selected public greenhouses, especially in zoological and botanical gardens, in the Czech Republic. In total, 14 freshwater species were found at 23 sites situated mostly in botanical and zoological gardens. Freshwater molluscs were divided into four groups: species occurring in the Czech Republic only in greenhouses, non-native species living also in the wild, native species and alien genotypes of native species. The most frequent mollusc of greenhouses was Physella acuta (Draparnaud). Melanoides tuberculata (O. F. Müller) and Helisoma cf. duryi (Wetherby) of the first group were other very common and widespread greenhouse species. On the other hand Marisa cornuarietis (Linnaeus), Bithynia tentaculata (Linnaeus), Lymnaea stagnalis (Linnaeus), Gyraulus crista (Linnaeus) and Ferrissia californica (Rowell) were found at only one studied site.
Analytical modelling and electrical characterisation of ZnO based HEMTs

ABSTRACT Conventionally, Poisson’s equation coupled with 1-D Schrödinger’s equation is solved self-consistently in the triangular quantum well to calculate 2DEG density at the heterointerface. 2DEG density hence derived is a complicated transcendental function which cannot be solved analytically. Therefore, in this work, we use a simple expression for Fermi energy level to develop a compact physics-based 2D-analytical model for 2DEG density. The calculated 2DEG density from this model is validated with earlier reported experimental results. Using this 2DEG density, an expression for I-V characteristics of HEMTs has also been developed. The I-V characteristics of a buffer layer engineered MgZnO/CdZnO HEMT for improved 2DEG density have been analysed for the first time using developed model to the best of our knowledge.