bluuebunny/crossref_metadata_2025 huggingface dataset:
The effects of cyberbullying victimization on cyberbullying perpetration among Chinese college students: callous-unemotional traits and the moderating role of Internet morality
Authors: Zhang Wenhai , Sha Jingying
Published: April 2024

Introduction

The Internet has triggered a series of online deviant behaviors, and cyberbullying is one of them. Cyberbullying victimization as a category of frustration and the aggression triggered by it has been confirmed by many studies. Previous studies have explored the relationship between cyberbullying victimization and cyberbullying perpetration. However, the boundary conditions of the two have yet to be sufficiently explored, and this article will further explore the moderating effect in the transformation mechanism.

Methods

The convenience sampling method was used to select a cumulative total of 668 students from university students of several universities in Beijing for the study, using questionnaires including Cyberbullying Victimization Questionnaire, Cyberbullying Perpetration Questionnaire, the Callous-unemotional Traits Scale, and Internet Morality Questionnaire.

Results

(1) Controlling for gender and grade, cyberbullying victimization has a positive relationship with cyberbullying perpetration. (2) Callous-unemotional traits moderated the relationship between cyberbullying victimization and perpetration. (3) Internet morality can moderate the relationship between cyberbullying victimization and perpetration. (4) Callous-unemotional traits and Internet morality can co-regulate the relationship between cyberbullying victimization and perpetration.

Conclusion

The results indicate that cyberbullying victimization had a significant positive relationship with cyberbullying perpetration, a process moderated by callous-unemotional traits and Internet morality.
Why do Chinese women experience gamophobia? Psychoanalytic theory assisted discourses analysis
Authors: Chang Joanna Nian
Published: April 2024

Social media is currently abuzz with discussions about the topic of women’s gamophobia in China. Nevertheless, there is few research investigating gamophobia from a psychological perspective. This study utilizes content analysis and sentiment analysis to examine and analyze 879 individuals’ texts about gamophobia on Little Red Book and uses psychoanalytic theory, which is centered on comprehending and interpreting the psychological processes of the human mind, to investigate the elements that contribute to women’s gamophobia, aiming to address this knowledge gap. This investigation revealed that gamophobia might exert physical, psychological, and several other effects on individuals. This study employs a psychoanalytic framework and concludes that the rise of independent consciousness, many unhappy marriages in their environment, anxiety about dealing with unfamiliar family relationships, pursuit of personal and professional development, original family issues, changing perceptions of aging care, the media effect, the concept of parenthood, and criteria for choosing a life partner are the nine primary factors contributing to women’s gamophobia. To address the societal issues and outcomes resulting from a fear of marriage, it is advisable for those who experience this phobia to examine their negative defensive mechanisms and prioritize rational thinking in their mindset. Moreover, the Government should establish a social atmosphere that ensures women are neither influenced nor constrained by the media. Furthermore, promote holistic family education to bolster the self-awareness and prospective family comprehension of young individuals. Finally, government departments should also offer promotion and supporting measures to help assuage women’s concerns about marriages.
The effect of health quotient and time management skills on self-management behavior and glycemic control among individuals with type 2 diabetes mellitus
Authors: Chen Mengjie , Liu Man , Pu Ying , Wu Juan , Zhang Mingjiao , Tang Hongxia , Kong Laixi , Guo Maoting , Zhu Kexue , Xie Yuxiu , Li Zhe , Deng Bei , Xiong Zhenzhen
Published: April 2024

Objective

The aim of this study was to evaluate the present status of self-management behavior and glycemic control in individuals diagnosed with Type 2 Diabetes Mellitus (T2D), as well as to examine the impact of health quotient (HQ) and time management skills on both self-management behavior and glycemic control.

Methods

Between October 2022 and March 2023, a purposive sampling method had been utilized to select 215 participants with type T2D. The survey concluded a general information questionnaire, an HQ scale, a diabetes time management questionnaire and a self-management behavior questionnaire. The health quotient(HQ)encompasses the individuals’ knowledge, attitude toward health, and the ability to maintain their own well-being. The diabetes time management questionnaire was reverse-scored, with higher scores indicating an enhanced competence in time management. The path among variables was analyzed using structural equation modeling(SEM).

Results

SEM showed that the direct effect of HQ on time management was −0.566 (p < 0.05), the direct effect of time management on the effect of self-management was −0.617 (p < 0.05), the direct effect of HQ on self-management was 0.156, and the indirect effect was 0.349 (p < 0.05); the relationship between health quotient and self-management was partially mediated by time management, with a mediating effect size of 68.8%. In addition, self-management had a direct effect on HbAlc, with a size of −0.394 (p < 0.05); The impacts of both HQ and time management on HbAlc were found to be mediated by self-management, with HQ demonstrating an indirect effect of −0.199 (p < 0.05) and time management showing an indirect effect of 0.244 (p < 0.05).

Conclusion

Health quotient and time management in patients with T2D serve as catalysts for self-management behavior. They affect HbAlc level indirectly through self-management practices. The suggestion is to prioritize the cultivation of rational time organization and management skills in T2D patients, as well as enhance their health quotient level. This can facilitate a more effective improvement in patients’ self-management behaviors, ultimately achieving the objective of maintaining optimal glycemic control.
Transnational inequities in cardiovascular diseases from 1990 to 2019: exploration based on the global burden of disease study 2019
Authors: Hu Ben , Feng Jun , Wang Yuhui , Hou Linlin , Fan Yinguang
Published: April 2024

Background

To describe the burden and examine transnational inequities in overall cardiovascular disease (CVD) and ten specific CVDs across different levels of societal development.

Methods

Estimates of disability-adjusted life-years (DALYs) for each disease and their 95% uncertainty intervals (UI) were extracted from the Global Burden of Diseases (GBD). Inequalities in the distribution of CVD burdens were quantified using two standard metrics recommended absolute and relative inequalities by the World Health Organization (WHO), including the Slope Index of Inequality (SII) and the relative concentration Index.

Results

Between 1990 and 2019, for overall CVD, the Slope Index of Inequality changed from 3760.40 (95% CI: 3758.26 to 3756.53) in 1990 to 3400.38 (95% CI: 3398.64 to 3402.13) in 2019. For ischemic heart disease, it shifted from 2833.18 (95% CI: 2831.67 to 2834.69) in 1990 to 1560.28 (95% CI: 1559.07 to 1561.48) in 2019. Regarding hypertensive heart disease, the figures changed from-82.07 (95% CI: −82.56 to-81.59) in 1990 to 108.99 (95% CI: 108.57 to 109.40) in 2019. Regarding cardiomyopathy and myocarditis, the data evolved from 273.05 (95% CI: 272.62 to 273.47) in 1990 to 250.76 (95% CI: 250.42 to 251.09) in 2019. Concerning aortic aneurysm, the index transitioned from 104.91 (95% CI: 104.65 to 105.17) in 1990 to 91.14 (95% CI: 90.94 to 91.35) in 2019. Pertaining to endocarditis, the figures shifted from-4.50 (95% CI: −4.64 to-4.36) in 1990 to 16.00 (95% CI: 15.88 to 16.12) in 2019. As for rheumatic heart disease, the data transitioned from-345.95 (95% CI: −346.47 to-345.42) in 1990 to-204.34 (95% CI: −204.67 to-204.01) in 2019. Moreover, the relative concentration Index for overall CVD and each specific type also varied from 1990 to 2019.

Conclusion

There’s significant heterogeneity in transnational health inequality for ten specific CVDs. Countries with higher levels of societal development may bear a relatively higher CVD burden except for rheumatic heart disease, with the extent of inequality changing over time.
Secular trends in the prevalence of meeting 24-hour movement guidelines among U.S. adolescents: evidence from NHANES 2007–2016
Authors: Liu Xue-qing , Liu Mei-ling , Wu Zhuo-wen , Liang Jing-hong
Published: April 2024

Background

The 24-Hour Movement Guidelines (24-HMG) recommend a balanced combination of physical activity (PA), sedentary behavior (SB) and sleep (SLP) for optimal health. However, there is limited understanding of how well U.S. adolescents adhere to these guidelines. This study aims to analyze the prevalence trends of meeting the 24-HMG among a nationally representative sample of U.S. general adolescents.

Methods

The study included 2,273 adolescents (55.3% boys) aged 16–19 who participated in the National Health and Nutrition Examination Surveys (NHANES) from 2007 to 2016. The researchers categorized the adolescents based on whether they met various PA, SB, and SLP recommendations, as well as different combinations of these recommendations, separately for boys and girls. The prevalence rate, weighted by survey data, was calculated along with a 95% confidence interval (CI) to assess the changes in meeting the 24-HMG among U.S. adolescents across different survey years and sociodemographic subgroups.

Results

In the 2015–2016 cycle, approximately 6.3% of adolescents did not meet any of the three recommendations, while only 19.2% of adolescents achieved all three guidelines. Compliance with PA and SB recommendations among adolescents has decreased over time, from 72.5% (65.9% to 79.2%) to 64.2% (57.4% to 70.9%) for PA, and from 59.0% (49.6% to 68.4%) to 46.6% (37.8% to 55.5%) for SB, respectively, from 2007–2008 cycle to 2015–2016 cycle. Boys exhibited more favorable patterns in meeting different sets of recommendations compared to girls (p-value <0.001). This includes meeting both PA and SB guidelines (15.5% for boys and 11.1% for girls) and meeting both PA and SLP guidelines (19.5% for boys and 15.7% for girls). The level of parental education was found to have effect on meeting all three guidelines (Ptrend < 0.05).

Conclusion

We analyzed ten consecutive years of representative NHANES data to evaluate the prevalence meeting 24-HMG and found that the proportion of adolescents aged 16–19 in the U.S. who adhered to all three movement guidelines simultaneously has consistently remained low throughout each survey cycle. Notably, there has been a significant decline in the proportion of adolescents meeting the SB guideline.
SUMOylation regulation of ribosome biogenesis: Emerging roles for USP36
Authors: Yang Yunhan , Li Yanping , Sears Rosalie C. , Sun Xiao-Xin , Dai Mu-Shui
Published: April 2024

Ribosome biogenesis is essential for cell growth, proliferation, and animal development. Its deregulation leads to various human disorders such as ribosomopathies and cancer. Thus, tight regulation of ribosome biogenesis is crucial for normal cell homeostasis. Emerging evidence suggests that posttranslational modifications such as ubiquitination and SUMOylation play a crucial role in regulating ribosome biogenesis. Our recent studies reveal that USP36, a nucleolar deubiquitinating enzyme (DUB), acts also as a SUMO ligase to regulate nucleolar protein group SUMOylation, thereby being essential for ribosome biogenesis. Here, we provide an overview of the current understanding of the SUMOylation regulation of ribosome biogenesis and discuss the role of USP36 in nucleolar SUMOylation.
Case report: Three characteristics of tyrosine kinase inhibitor-associated cerebrovascular stenosis. High threshold for infarction, atypical infarct area, and vascular recoverability under the use of ponatinib
Authors: Hanazono Akira , Abe Masamichi , Togashi Shuntaro , Takahashi Teruko , Takahashi Naoto , Sugawara Masashiro
Published: April 2024

While tyrosine kinase inhibitors (TKI)-associated cerebral vascular stenosis (CVS) exhibit distinct mechanisms compared to conventional stroke in basic research, the clinical strategy remains nearly the same other than TKI-switching. We present the case of a 22-year-old female with chronic myeloid leukemia without stroke risk factors, who developed ponatinib-associated CVS. Three potential characteristics of TKI-associated CVS were identified: a heightened threshold for infarction, an atypical infarct area, and vascular recoverability. Specifically, brain computed tomography remained normal despite 20 h of severe hemiplegia. The ischemic distribution was confined in gray matter and the anterior cerebral artery territory on magnetic resonance imaging, despite severe stenosis of the internal carotid artery. Ischemic changes resolved within 10 days and arterial stenosis improved after ponatinib withdrawal. These unique features, distinct from typical stroke, could lead to misdiagnosis as non-organic neurological disorders or other conditions in ponatinib-treated patients.
Mysid meal as a dietary replacement for fishmeal in the diets of Pacific white shrimp Penaeus vannamei (Boone, 1931) postlarvae
Authors: Andam Michael B. , Traifalgar Rex Ferdinand M. , Laureta Liberato V. , Nuñal Sharon N. , Nillos Mae Grace G.
Published: April 2024

The current study evaluates the nutritional and feed value of mysid meal (MM) as a substitute for fishmeal (FM) in the Pacific white shrimp (Penaeus vannamei) postlarvae diet. Five experimental diets were formulated by replacing 0 (MM0), 25 (MM25), 50 (MM50), 75 (MM75), and 100 % (MM100) of dietary FM with MM. These experimental feeds were fed to P. vannamei postlarvae in a 60-day feeding trial. Results revealed that MM could entirely substitute 100 % FM in the white shrimp diet. Furthermore, results showed that 75 % FM replacement with MM elicited a growth-enhancing effect and improved feed nutrient utilization. No significant treatment effects were detected in the survival, total feed intake, and biochemical body composition of P. vannamei. The observed improvement in shrimp growth in terms of weight gain (WG), specific growth rate (SGR), and nutrient retention were positively correlated with the substitution level of FM by MM. The feed conversion ratio (FCR) was negatively correlated with the substitution of MM and with the growth indices including WG and SGR. In conclusion, 100% of the FM (40% in the control diet) can be substituted by dietary MM without affecting the survival, growth, feed utilization, and biochemical carcass composition of P. vannamei. Polynomial regression analysis of SGR indicates that 65.50% of MM is optimum to replace FM in the diet of P. vannamei to attain maximum growth.
Optimization of watermelon waste as a bulking agent for sustainable co-composting of livestock manures using response surface methodology
Authors: Nurin Arifah Yusoff , Tee Tuan Poy , Chin Nyuk Ling , Zainudin Mohd Huzairi Mohd , Nayan Nazri
Published: April 2024

Global human population growth has resulted in significant intensive agricultural activity, posing substantial challenges to waste management and environmental conservation. Watermelon waste (WW), chicken manure (CM) and horse manure (HM) are among the main contributors to agricultural waste due to their abundant waste production. This study aims to manage the daily production of these wastes by utilizing WW as a bulking agent in the co-composting of CM and HM. Response surface methodology (RSM) was employed to analyze the effects of four independent factors: HM:CM composition, particle size, composting period, and bulking agent amount. Thirty treatments were developed using central composite design and in-vessel composting reactors were employed to study the relationship between the factors involved and compost physicochemical quality parameters. The results demonstrated significant effects on organic matter (OM), nitrogen (N), potassium (K), dry matter, moisture content, bulk density, and pH, while the carbon-to-nitrogen ratio (C/N) and phosphorus level were not affected. The optimized co-composting conditions obtained from RSM were 75:25 for HM:CM composition (%), 0.5 cm for particle size, 40 days for composting period, and 10% of WW, resulting in a compost with 61% OM, 2.5% N, and 2.5% K. These optimal conditions agreed closely with the predicted values; root mean square prediction error (RMSPE) was less than 0.50, revealing the success of RSM in determining optimal process parameters and developing models for predicting responses. Our study demonstrated that WW as a bulking agent in the co-composting of CM and HM has significantly enhanced the organic matter and nutrient levels of the final compost product.
Intein-mediated thyroid hormone biosensors: towards controlled delivery of hormone therapy
Authors: Martí-Baena Quim , Pascuet-Fontanet Andreu , Berjaga-Buisan Tomas , Caravaca-Rodríguez Miriam , Puig-Costa-Jussà Jaume , Sanchez-Mejias Avencia , Ivančić Dimitrije , Mogas-Díez Sira , Güell Marc , Macia Javier
Published: April 2024

Although blood sampling and medical imaging are well-established techniques in clinical diagnostics, they often require long post-processing procedures. Fast and simple quantification of signaling molecules can enable efficient health monitoring and improve diagnoses. Thyroid hormones (THs) treatment relies on trial-and-error dose adjustments, and requires constant tracking via blood tests. Thus, a fast and reliable method that can constantly track THs levels could substantially improve patient quality of life by reducing their visits to doctors. Synthetic biosensors have shown to be inexpensive and easy tools for sensing molecules, with their use in healthcare increasing over time. This study describes the construction of an engineered THs bacterial biosensor, consisting of a split-intein-based TH receptor ligand binding domain (LBD) biosensor that reconstitutes green fluorescence protein (GFP) after binding to TH. This biosensor could quantitatively measure THs concentrations by evaluating fluorescence intensity. In vitro sensing using Escherichia coli produced GFP over a wide dynamic range. The biosensor was further optimized by adding a double LBD, which enhanced its dynamic range until it reached healthy physiological conditions. Moreover, a mathematical model was developed to assess the dynamic properties of the biosensor and to provide a basis for the characterization of other intein-mediated biosensors. This type of biosensor can be used as the basis for novel treatments of thyroid diseases and can be adapted to measure the concentrations of other hormones, giving rise to a series of mathematically characterized modular biosensors.
Prediction and validation of potential transmission risk of Dirofilaria spp. infection in Serbia and its projection to 2080
Authors: Rodríguez-Escolar Iván , Hernández-Lambraño Ricardo Enrique , Sánchez-Agudo José Ángel , Collado-Cuadrado Manuel , Savić Sara , Žekić Stosic Marina , Marcic Doroteja , Morchón Rodrigo
Published: April 2024

Animal and human dirofilariosis is a vector-borne zoonotic disease, being one of the most important diseases in Europe. In Serbia, there are extensive studies reporting the presence of Dirofilaria immitis and D. repens, mainly in the north of the country, where the human population is concentrated and where there is a presence of culicid mosquitoes that transmit the disease. Ecological niche modeling (ENM) has proven to be a very good tool to predict the appearance of parasitosis in very diverse areas, with distant orography and climatologies at a local, continental, and global level. Taking these factors into account, the objective of this study was to develop an environmental model for Serbia that reflects the suitability of the ecological niche for the risk of infection with Dirofilaria spp. with which the predictive power of existing studies is improved. A wide set of variables related to the transmission of the parasite were used. The potential number of generations of D. immitis and the ecological niche modeling method (ENM) were used to estimate the potential distribution of suitable habitats for Culex pipiens. The highest probability of infection risk was located in the north of the country, and the lowest in the southern regions, where there is more orographic relief and less human activity. The model was corroborated with the location of D. immitis-infected dogs, with 89.28% of the country having a high probability of infection. In addition, it was observed that the percentage of territory with optimal habitat for Culex spp. will increase significantly between now and 2080. This new model can be used as a tool in the control and prevention of heartworm disease in Serbia, due to its high predictive power, and will serve to alert veterinary and health personnel of the presence of the disease in the animal and human population, respectively.
Physical Properties of Moist, Fermented Corn Grain after Processing by Grinding or Milling
Authors: Blazer Keagan J. , Shinners Kevin J. , Kluge Zachary A. , Tekeste Mehari Z. , Digman Matthew F.
Published: April 2024

A novel biomass production system, integrating the co-harvesting and co-storage of moist corn grain and stover, promises a reduction in delivered feedstock costs. In this innovative method, the dry grain traditionally utilized for feed or biofuel production will now be processed at a considerably greater moisture content. The adoption of this approach may necessitate a substantial redesign of existing material handling infrastructure to effectively accommodate the handling and storage of moist grain after processing by milling or grinding. A comprehensive study was conducted to quantify the physical properties of this grain after processing with a knife processor or a hammermill. The geometric mean particle size, bulk and tapped density, sliding angle, material coefficient of friction, and discharged angle of repose were quantified. Five grain treatments, either fermented or unfermented, and having different moisture contents, were used. After processing, the moist, fermented ground grain exhibited a significantly smaller particle size compared to the dry grain. Additionally, both moist processed grains resulted in a decreased bulk density and increased material sliding angle, friction coefficient, and angle of repose. The examined metrics collectively suggest that handling, mixing, and storing moist ground grain will pose significant challenges compared to conventional dry ground grain. This increased difficulty may lead to substantially higher costs, a crucial factor that must be carefully considered when evaluating the overall economics of implementing this new biomass production system using combined harvesting and storage of corn grain and stover.
Quantifying Inhaled Concentrations of Particulate Matter, Carbon Dioxide, Nitrogen Dioxide, and Nitric Oxide Using Observed Biometric Responses with Machine Learning
Authors: Ruwali Shisir , Talebi Shawhin , Fernando Ashen , Wijeratne Lakitha O. H. , Waczak John , Dewage Prabuddha M. H. , Lary David J. , Sadler John , Lary Tatiana , Lary Matthew , Aker Adam
Published: April 2024

Introduction: Air pollution has numerous impacts on human health on a variety of time scales. Pollutants such as particulate matter—PM1 and PM2.5, carbon dioxide (CO2), nitrogen dioxide (NO2), and nitric oxide (NO) are exemplars of the wider human exposome. In this study, we adopted a unique approach by utilizing the responses of human autonomic systems to gauge the abundance of pollutants in inhaled air. Objective: To investigate how the human body autonomically responds to inhaled pollutants in microenvironments, including PM1, PM2.5, CO2, NO2, and NO, on small temporal and spatial scales by making use of biometric observations of the human autonomic response. To test the accuracy in predicting the concentrations of these pollutants using biological measurements of the participants. Methodology: Two experimental approaches having a similar methodology that employs a biometric suite to capture the physiological responses of cyclists were compared, and multiple sensors were used to measure the pollutants in the air surrounding them. Machine learning algorithms were used to estimate the levels of these pollutants and decipher the body’s automatic reactions to them. Results: We observed high precision in predicting PM1, PM2.5, and CO2 using a limited set of biometrics measured from the participants, as indicated with the coefficient of determination (R2) between the estimated and true values of these pollutants of 0.99, 0.96, and 0.98, respectively. Although the predictions for NO2 and NO were reliable at lower concentrations, which was observed qualitatively, the precision varied throughout the data range. Skin temperature, heart rate, and respiration rate were the common physiological responses that were the most influential in predicting the concentration of these pollutants. Conclusion: Biometric measurements can be used to estimate air quality components such as PM1, PM2.5, and CO2 with high degrees of accuracy and can also be used to decipher the effect of these pollutants on the human body using machine learning techniques. The results for NO2 and NO suggest a requirement to improve our models with more comprehensive data collection or advanced machine learning techniques to improve the results for these two pollutants.
Consideration of the Medical Economics of Cardiac Genetics, Focusing on the Cost-Effectiveness of P2Y12 Inhibitor Selection Based on the CYP2C19 Loss-of-Function Allele: A Semi-Systematic Review
Authors: Takura Tomoyuki
Published: April 2024

Medical economics is essential in cardiac genetics for the clinical application and development of research results. However, related economic evaluations are unclear, and limited systematic reviews are available on the cost-effectiveness of drug selection based on the CYP2C19 LOF allele. This review analyzed research in the MEDLINE database from January 2012 to June 2023 using more evidence than a well-designed cohort study, owing to the lack of relevant research in the database. For example, cost-effectiveness analyses are often reported as simulation assays, and were included in this analysis. No conditions related to patient background or antiplatelet drug therapy were selected. This review was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement (2020). Twenty-one cardiac genetic studies were selected, of which nineteen involved antiplatelet therapy after PCI. A universal group consisting of clopidogrel and other drugs was used as the baseline and compared with the drug selection groups based on the CYP2C19 LOF allele. The incremental cost–effectiveness ratio was generally below 50,000 (US$/Qaly), and drug selection based on the CYP2C19 LOF allele was the most cost-effective, followed by universal clopidogrel. Although cardiac genetic and economic data are rudimentary, this review indicates that antiplatelet therapy (drug selection based on the CYP2C19 LOF allele) after PCI is generally cost-effective.
Solid-State Luminescence with a Large Stokes Shift in Starch Functionalized with Low-Content ESIPT Dye
Authors: Colonetti Emerson , da Luz Lilian C. , Rodembusch Fabiano S.
Published: April 2024

Herein, we present the preparation of solid-state photoactive starches with a large Stokes shift, along with the resulting materials. In this investigation, 2-(2′-hydroxyphenyl)benzazole derivatives responsive to intramolecular proton transfer in the excited state (ESIPT) were covalently bonded to the polymeric structure of starch through a reaction involving an isothiocyanate group and the hydroxyl groups of starch. These compounds exhibit absorption at approximately 350 nm, which is related to fully spin- and symmetry-allowed π → π* electronic transitions, and solid-state fluorescence at approximately 500 nm, which features a significant separation between the absorption and emission maxima (~9000 cm−1). Due to the minimal use of fluorophores in functionalized starch preparation, this modification does not affect the original properties of the starch. Finally, photoactive starch-based films with significantly high transparency were successfully produced.
Real-World Outcomes of Patients with Advanced Epidermal Growth Factor Receptor-Mutated Non-Small Cell Lung Cancer in Canada Using Data Extracted by Large Language Model-Based Artificial Intelligence
Authors: Moulson Ruth , Law Jennifer , Sacher Adrian , Liu Geoffrey , Shepherd Frances A. , Bradbury Penelope , Eng Lawson , Iczkovitz Sandra , Abbie Erica , Elia-Pacitti Julia , Ewara Emmanuel M. , Mokriak Viktoriia , Weiss Jessica , Pettengell Christopher , Leighl Natasha B.
Published: April 2024

Real-world evidence for patients with advanced EGFR-mutated non-small cell lung cancer (NSCLC) in Canada is limited. This study’s objective was to use previously validated DARWENTM artificial intelligence (AI) to extract data from electronic heath records of patients with non-squamous NSCLC at University Health Network (UHN) to describe EGFR mutation prevalence, treatment patterns, and outcomes. Of 2154 patients with NSCLC, 613 had advanced disease. Of these, 136 (22%) had common sensitizing EGFR mutations (cEGFRm; ex19del, L858R), 8 (1%) had exon 20 insertions (ex20ins), and 338 (55%) had EGFR wild type. One-year overall survival (OS) (95% CI) for patients with cEGFRm, ex20ins, and EGFR wild type tumours was 88% (83, 94), 100% (100, 100), and 59% (53, 65), respectively. In total, 38% patients with ex20ins received experimental ex20ins targeting treatment as their first-line therapy. A total of 57 patients (36%) with cEGFRm received osimertinib as their first-line treatment, and 61 (39%) received it as their second-line treatment. One-year OS (95% CI) following the discontinuation of osimertinib was 35% (17, 75) post-first-line and 20% (9, 44) post-second-line. In this real-world AI-generated dataset, survival post-osimertinib was poor in patients with cEGFR mutations. Patients with ex20ins in this cohort had improved outcomes, possibly due to ex20ins targeting treatment, highlighting the need for more effective treatments for patients with advanced EGFRm NSCLC.
Myelodysplastic Neoplasms (MDS): The Current and Future Treatment Landscape
Authors: Karel Daniel , Valburg Claire , Woddor Navitha , Nava Victor E. , Aggarwal Anita
Published: April 2024

Myelodysplastic neoplasms (MDS) are a heterogenous clonal disorder of hemopoietic stem cells characterized by cytomorphologic dysplasia, ineffective hematopoiesis, peripheral cytopenias and risk of progression to acute myeloid leukemia (AML). Our understanding of this disease has continued to evolve over the last century. More recently, prognostication and treatment have been determined by cytogenetic and molecular data. Specific genetic abnormalities, such as deletion of the long arm of chromosome 5 (del(5q)), TP53 inactivation and SF3B1 mutation, are increasingly associated with disease phenotype and outcome, as reflected in the recently updated fifth edition of the World Health Organization Classification of Hematolymphoid Tumors (WHO5) and the International Consensus Classification 2022 (ICC 2022) classification systems. Treatment of lower-risk MDS is primarily symptom directed to ameliorate cytopenias. Higher-risk disease warrants disease-directed therapy at diagnosis; however, the only possible cure is an allogenic bone marrow transplant. Novel treatments aimed at rational molecular and cellular pathway targets have yielded a number of candidate drugs over recent years; however few new approvals have been granted. With ongoing research, we hope to increasingly offer our MDS patients tailored therapeutic approaches, ultimately decreasing morbidity and mortality.
KRAS: Biology, Inhibition, and Mechanisms of Inhibitor Resistance
Authors: Ash Leonard J. , Busia-Bourdain Ottavia , Okpattah Daniel , Kamel Avrosina , Liberchuk Ariel , Wolfe Andrew L.
Published: April 2024

KRAS is a small GTPase that is among the most commonly mutated oncogenes in cancer. Here, we discuss KRAS biology, therapeutic avenues to target it, and mechanisms of resistance that tumors employ in response to KRAS inhibition. Several strategies are under investigation for inhibiting oncogenic KRAS, including small molecule compounds targeting specific KRAS mutations, pan-KRAS inhibitors, PROTACs, siRNAs, PNAs, and mutant KRAS-specific immunostimulatory strategies. A central challenge to therapeutic effectiveness is the frequent development of resistance to these treatments. Direct resistance mechanisms can involve KRAS mutations that reduce drug efficacy or copy number alterations that increase the expression of mutant KRAS. Indirect resistance mechanisms arise from mutations that can rescue mutant KRAS-dependent cells either by reactivating the same signaling or via alternative pathways. Further, non-mutational forms of resistance can take the form of epigenetic marks, transcriptional reprogramming, or alterations within the tumor microenvironment. As the possible strategies to inhibit KRAS expand, understanding the nuances of resistance mechanisms is paramount to the development of both enhanced therapeutics and innovative drug combinations.
Enhancing Evidence-Based Practice Competence and Professional Skills Using Infographics as a Pedagogical Strategy in Health Science Students: Insights from the InfoHealth Project
Authors: Navarrete-Muñoz Eva-María , Valera-Gran Desirée , García-Campos Jonatan , Lozano-Quijada Carlos , Hernández-Sánchez Sergio
Published: April 2024

Infographics have been recognised as effective visual tools for concise and accessible communication of data and information in various higher education disciplines, particularly in medical education. However, there is a lack of research on their impact on professional skills, difficulty levels, motivation, and overall satisfaction in health science students. Thus, the present study aimed to analyse the knowledge and usage of graphical resources among health science students and evaluate their competencies, the level of challenge they encountered, and their motivation and satisfaction after completing an infographic creation activity. The InfoHealth educational innovation project, conducted by five teachers from the Faculty of Medicine, served as the context for this study, with 143 students voluntarily participating. The intervention involved students working in groups of 2–3 and selecting their own topics for the infographics while receiving instruction, online guidance, and feedback from teachers. A questionnaire was administered to assess students’ perception of skill development and satisfaction with the activity. The findings revealed that schemes were the most recognized and used graphical summaries, compared to synoptic tables and Venn diagrams. The activity led to an increase in professional skills acquisition, motivation, and satisfaction, positively impacting students’ interest in evidence-based practice and reinforcing their knowledge. This study highlights the potential of infographics as a pedagogical tool for competency development and student engagement in health science education, suggesting the need for further research comparing infographics with traditional study methods and involving multidisciplinary teams to promote essential skills for future clinical practice.
Trustworthiness of Review Opinions on the Internet for 3C Commodities
Authors: Hsieh Ying-Chia , Lu Long-Chuan , Yang Ruen-Jung
Published: April 2024

The rapid development of the internet has resulted in rapid e-business growth, with online malls attracting many shoppers due to the privacy and convenience they offer. Like traditional malls, online malls can provide photos, specifications, prices, etc. However, consumers cannot touch the products in reality, which creates risks for the purchase. To date, there has been no research focusing on topic-specific search engines for 3C product reviews based on the trustworthiness of the reviews. This study is the first to sort the reviews of electronic products according to the degree of trust, by analyzing the characteristics of the reviews and the reviewers. This study proposes the criteria for features of the reviews and reviewers to consider to evaluate the trustworthiness of the reviews; builds a search engine to collect the product reviews scattered in opinion websites; and sorts the results by trustworthiness to provide a reliable e-commerce experience. To demonstrate the effectiveness of the proposed method, we conducted a set of experiments, and we adopted the Spearman’s rank correlation coefficient to evaluate the similarity between our method and experts’ opinions. The experimental results showed a high correlation coefficient with the opinions of experts, demonstrating that our method is effective at finding trustworthy reviews on the internet.
A Review of Peer-to-Peer Energy Trading Markets: Enabling Models and Technologies
Authors: Islam Shama Naz
Published: April 2024

This paper presents a detailed review of the existing literature on peer-to-peer (P2P) energy trading considering market architectures, trading strategies, and enabling technologies. P2P energy trading enables individual users in the electricity network to act as sellers or buyers and trade energy among each other. To facilitate the discussion on different aspects of P2P energy trading, this paper focuses on P2P market mechanisms, relevant bidding strategies, and auction models. In addition, to solve the energy management problems associated with P2P energy trading, this paper investigates widely used solution methods such as game-theoretic models, mathematical optimisation, as well as more recent machine learning techniques and evaluates them in a critical manner. The outcomes of this investigation along with the identification of the challenges and limitations will allow researchers to find suitable P2P energy trading mechanisms based on different market contexts. Moreover, the discussions on potential future research directions are expected to improve the effectiveness of P2P energy trading technologies.
Numerical Study on Prediction of Icing Phenomena in Fresh Air and Blow-by Gas Mixing Region of Diesel Engine under High Velocity of Intake Air Condition
Authors: Yoon Wonjun , Lee Jeong-Won , Park Jungsoo
Published: April 2024

The icing of an intake pipe that might happen in an actual vehicle was numerically predicted in this study. For various operating conditions, the amount of icing was estimated, and the variables influencing the amount of icing were identified. We compared the factors that affected icing: relative humidity, air temperature, and inlet velocity. Seven RPM and load conditions, an intake temperature range of 253–268 K, and a relative humidity range of 65–85% were used for the case studies. To verify the model accuracy, wind tunnel test results from chassis dynometer tests were compared to the data from simulations. The flow analysis was performed using the numerical analytical tool ANSYS Fluent (2019 R1), while the amount of condensed water and icing was predicted using FENSAP-ICE, a program that analyzes and predicts icing phenomena under mechanical systems. The ambient temperature, relative humidity, and inlet air velocity had the biggest effects on the icing rate. The total amount of icing increased for similar BB and input air velocities. When the input air and BB velocities are the same, the variables influencing icing are the ambient temperature and relative humidity. The amount of ice was less affected by outside temperature and relative humidity when the rpm was high, and the inlet air velocity also had an impact.
Study on the Mechanical and Permeability Characteristics of Gypsum Rock under the Condition of Crude Oil Immersion
Authors: Jiang Tingting , Shang Xiurui , Xie Dongzhou , Yan Dairong , Li Mei , Zhang Chunyang
Published: April 2024

The utilization of gypsum mine goaf (GMG) for strategic oil reserves can realize the coordinated development of mining and oil storage. However, the variation in mechanical and permeability characteristics of gypsum rock under the action of crude oil erosion is not clear. At the same time, the deformation of gypsum rock caused by crude oil erosion will pose a threat to wellbore integrity. In this paper, a series of tests were carried out on gypsum rock before and after crude oil immersion to explore the effect of crude oil erosion on the mechanical and permeability characteristics of gypsum rock. The results show that crude oil soaking enhances the plastic deformation ability of gypsum rock. After soaking, the cohesion of gypsum rock increases by 14%, but the internal friction angle decreases by 7.2%. During the soaking process, crude oil invades the pores of gypsum rock, which can reduce the value of gypsum rock by 10−20 m2. Crude oil immersion enhances the deformation resistance of gypsum rock surrounding rock and significantly reduces the permeability, which is conducive to the stability and sealing of gypsum rock goaf during oil storage. The research results are helpful in deepening the understanding of using GMG technology to construct crude oil storage and provide inspiration for the study of the influence of gypsum rock deformation on wellbore integrity under crude oil erosion.
Gaming for the Education of Biology in High Schools
Authors: Lantzouni Marina , Poulopoulos Vassilis , Wallace Manolis
Published: April 2024

Game-based learning refers to an educational approach where games (digital or analogue) are used in order to engage students in interactive and immersive experiences designed to teach specific concepts, skills or subjects. Gamification refers to the application of game design elements, such as point systems, rewards, narratives, and competition, to non-game contexts. Game elements, mechanics and structures, when incorporated into the learning process, can enhance student understanding and increase engagement, motivation and retention of educational content. Teaching Biology can present challenges mainly due to the complexity of the subject matter, the different scales of biological organisation, and because it often includes challenging and counterintuitive concepts that may contradict students’ preconceived notions. Integrating gaming into the high school Biology curriculum not only tackles the challenges of teaching complex concepts but can also promote student engagement. Customising gaming experiences to Biology intricacies enhances critical thinking and creates a dynamic learning environment tailored to the demands of high school biological education. This entry explores the integration of gaming and gamification in high school Biology education to overcome challenges in sustaining student interest. Additionally, the article highlights the diverse applications of games in education, showcasing their versatility in enriching the educational process. Future research should evaluate specific games, explore design principles, and consider challenges associated with implementation. In conclusion, using games in Biology education promises to enhance engagement, promote active learning, and deepen understanding, contributing to narrowing the gap in biological literacy.
Special Issue: Feature Papers in Eng 2023
Authors: Gil Bravo Antonio
Published: April 2024

The aim of this third Eng Special Issue is to collect experimental and theoretical re-search relating to engineering science and technology [...]
Riding into Danger: Predictive Modeling for ATV-Related Injuries and Seasonal Patterns
Authors: Ferreira Lima dos Santos Fernando , Khorsandi Farzaneh
Published: April 2024

All-Terrain Vehicles (ATVs) are popular off-road vehicles in the United States, with a staggering 10.5 million households reported to own at least one ATV. Despite their popularity, ATVs pose a significant risk of severe injuries, leading to substantial healthcare expenses and raising public health concerns. As such, gaining insights into the patterns of ATV-related hospitalizations and accurately predicting these injuries is of paramount importance. This knowledge can guide the development of effective prevention strategies, ultimately mitigating ATV-related injuries and the associated healthcare costs. Therefore, we performed an in-depth analysis of ATV-related hospitalizations from 2010 to 2021. Furthermore, we developed and assessed the performance of three forecasting models—Neural Prophet, SARIMA, and LSTM—to predict ATV-related injuries. The performance of these models was evaluated using the Root Mean Square Error (RMSE) accuracy metric. As a result, the LSTM model outperformed the others and could be used to provide valuable insights that can aid in strategic planning and resource allocation within healthcare systems. In addition, our findings highlight the urgent need for prevention programs that are specifically targeted toward youth and timed for the summer season.
Error Bounds for Fractional Integral Inequalities with Applications
Authors: Alqahtani Nouf Abdulrahman , Qaisar Shahid , Munir Arslan , Naeem Muhammad , Budak Hüseyin
Published: April 2024

Fractional calculus has been a concept used to obtain new variants of some well-known integral inequalities. In this study, our main goal is to establish the new fractional Hermite–Hadamard, and Simpson’s type estimates by employing a differentiable function. Furthermore, a novel class of fractional integral related to prominent fractional operator (Caputo–Fabrizio) for differentiable convex functions of first order is proven. Then, taking this equality into account as an auxiliary result, some new estimation of the Hermite–Hadamard and Simpson’s type inequalities as generalization is presented. Moreover, few inequalities for concave function are obtained as well. It is observed that newly established outcomes are the extension of comparable inequalities existing in the literature. Additionally, we discuss the applications to special means, matrix inequalities, and the q-digamma function.
Two Sides of the Same Virtual Coin: Investigating Psychosocial Effects of Video Game Play, including Stress Relief Motivations as a Gateway to Problematic Video Game Usage
Authors: Farmer George , Lloyd Joanne
Published: April 2024

Video gamers can play to negate the psychological impact of stress, which may become problematic when users over-rely on the stress relief potential of gaming. This study used a repeated measures experimental design to investigate the relationships between stress, video gaming, and problematic video gaming behaviours in a convenience sample of 40 students at a UK university. The results indicated that positive affect increased and negative affect decreased, whilst a biological stress measure (instantaneous pulse rate) also decreased after a short video gaming session (t(36) = 4.82, p < 0.001, d = 0.79). The results also suggested that video gaming can act as a short-term buffer against the physiological impact of stress. Further research should focus on testing individuals who have been tested for gaming disorder, as opposed to the general population. Research could also utilise variations of the methodological framework used in this study to examine the intensity of a stress relief effect under different social situations. The study’s findings in relation to published works are also discussed.