bluuebunny/crossref_metadata_2025_split huggingface dataset:
An Empirical Investigation of the Continued Usage Intention of Digital Wallets: The Moderating Role of Perceived Technological Innovativeness
Authors: Shetu Sabakun Naher , Islam Md. Muzahidul , Promi Sadia Islam 
Published: October 2022

AbstractThe paper examines the constructs that instigate the users to adopt digital wallets and continued usage behavior in a developing country perspective, Bangladesh. The researcher used a cross-sectional design to collect the primary data using a self-administered questionnaire. The population consisted of the youth, precisely 18–35, who are tech-savvy and knowledgeable about new technology. The study followed the nonprobability purposive sampling technique, and 330 responses were collected through a structured questionnaire survey. In direct path analysis, the findings revealed that perceived usefulness, ease of use, compatibility, insecurity, and behavioral intention to adopt digital wallets found significant relationships among the constructs that supported the proposed hypotheses. Moreover, indirect path analysis of perceived compatibility, perceived personal innovativeness and perceived social influence found no significant relationships that did not justify the proposed hypotheses. Users' behavioral intention partially mediates among perceived usefulness, ease of use, personal innovativeness, and perceived social influence, except perceived compatibility. The findings suggested that perceived technological innovativeness did not support the proposed hypothesis. The incorporated constructs of this study have hardly been found in the existing literature, and the researchers shed light on the unexplored research area. The study results, implications, and limitations have been discussed.
Railway bridge damage detection based on extraction of instantaneous frequency by Wavelet Synchrosqueezed Transform
Authors: Mostafa Neda , Maio Dario Di , Loendersloot Richard , Tinga Tiedo 
Published: October 2022

AbstractIn bridge structural health monitoring, typically the dynamic response of the system is used to assess the health condition of the bridge. However, the dynamic interaction between a bridge and a passing vehicle imposes non-stationarity on the system response, whereby the bridge modal parameters become time-dependent and detecting damage, for example, based on the bridge modal parameters, becomes challenging. Dynamic vehicle-bridge interaction (VBI) responses have mainly been investigated for damage detection through identifying signal singularities and abrupt changes. The singularities are usually associated with high-frequency components (relative to the bridge natural frequencies), and it is demanding to isolate the damage-induced singularities from those caused by either an operational condition, i.e., track irregularities, or noise. Unlike the high-frequency range, the influence of damage on the resonance frequency of the coupled system has not been fully explored. The present study proposes the shape of the bridge instantaneous frequency as a damage sensitive feature in which the influence of the vehicle dynamics can be excluded. This study demonstrates the feasibility of a damage detection approach based on the bridge instantaneous frequency by applying Wavelet Synchrosqueezed Transform (WSST). In this approach the bridge instantaneous frequency variation induced by damage is distinguished from the bridge instantaneous frequency variation induced by the vehicle. Several damage scenarios that are implemented numerically are analyzed to verify the method’s performance. The results demonstrate that a high resolution instantaneous frequency extracted from the VBI dynamic response outperforms the resonance frequency in determining the local disruption, leading to detecting the damage. A Damage Index (DI) is also proposed as an attempt to quantify the damage severity.
Assessment of liquid and gas impingement cooling fluids with numerical solution for better steel austempering
Authors: Nwankwo Azubuike Michael , Onah Thomas Okechukwu , Nwankwojike Bertrand Nduka 
Published: October 2022

AbstractImpingement jet heat transfer was studied using liquid and gas fluids to determine better cooling fluid. The materials used were rectangular steel plates of 230 mm by 120 mm by 12 mm, single jet diameters of 10–40 mm with impingement gaps of 115–155 mm. A computational fluid dynamics software application ANSYS 2020R1 was employed for simulation, and lumped thermal mass analysis was used for experimental modeling. The experimental results showed an increase in heat transfer coefficient with increased pipe diameters and with a corresponding increase in impingement gaps and flow rate. This revealed 265.4–383.9 W/m2K and 85.3–109 W/m2K at diameter 10 mm and 336.5–365 W/m2K and 109.0–137.5 W/m2K at diameter 40 mm for both water and air, respectively. Numerical simulation revealed heat flux of 22518–38.94 W/m2and 7570.2–4.25 W/m2and 6742.8–27.1 W/m2and 4155.6–6.1 W/m at diameters 10 mm and 40 mm, respectively. This confirmed that water remains a better cooling fluid with a 6.2% difference at the diameter of 10 mm and a 0.1% difference at the diameter of 40 mm. An acceptable error margin of 4 to 18% upon the comparison of empirical analysis with numerical simulation is obtained. The above suggests a better cooling rate for the microstructure of the steel using water against air.
Reproduction method of time-domain load of construction machinery internal combustion engine
Authors: Li Zhijie , Wang Yonglai , Liu Chaoqin , Kong Weicheng , Chen Cuicui 
Published: October 2022

AbstractBench test has been proved to be an effective method in the field of fatigue life prediction and reliability design for construction machinery internal combustion engine (CMICE), and the reasonable load reproduction is a promising supplement to the experimental data. To reproduce the load reasonably and eliminate the limitation that traditional peak over threshold (POT) extrapolation only focuses on extreme load, a method to reproduce the time-domain load of CMICE is proposed in this paper. Here, the extreme load is reproduced with POT model, where the upper and lower thresholds are selected through the mean excess function graph, while the intermediate load is reproduced by fitting the Gaussian mixed distribution. The load before and after reproduction is compared with the results of through-level counting and pseudo-damage calculation, which verifies the rationality of the proposed time-domain load reproduction method.
Multi-objective optimization of vertical-axis wind turbine’s blade structure using genetic algorithm
Authors: Geneid Ahmed Ali , Atia Mostafa R. A. , Badawy Ahmed 
Published: October 2022

AbstractThrough the field of renewable energy, the vertical-axis wind turbine is preferable, especially when the wind speed is low to medium. The optimization of blade structure design is essential to enhance the usability of the vertical-axis wind turbine. This paper introduces an optimization approach for the uniform blade structure design used in the vertical-axis wind turbine. The blade cost represents 20% of the turbine overall cost, and inertia load is the dominating design load. This approach aims to optimize the weight and the cost while maintaining structural integrity. Designs of blade structure are based on a multi-objective model, including the composite material and geometric parameters, where multiple design parameters are included. The model enhances the requirement of computation time and resources by approximation cross-sectional properties and loading calculations. The cost index concept is investigated to introduce an efficient method for approximation, normalizing the cost from currency exchange and price changes. The formulated model is then validated using a finite element analysis package, where the model is the integration between the numerical geometric model and the classical laminate theory. Optimization models are then formulated based on genetic algorithm and Pareto frontier analysis. Blade design parameters are included in the optimization to cover a wide range of parameters. The geometric cross-sectional properties are estimated using empirical formulas to reduce computation time and resources. The presented approach augmented the blade design parameters and genetic algorithm optimization. Optimum results for NACA 0021 shows the blade mass range between 2.5 and 3 kg and the cost index from 40 to 90.
Movement behaviours, breakfast consumption, and fruit and vegetable intake among adolescents
Authors: Sampasa-Kanyinga Hugues , Hamilton Hayley A. , Chaput Jean-Philippe 
Published: October 2022

Abstract
Background
It is recommended that children and adolescents spend ≥ 60 min per day of moderate-to-vigorous physical activity, ≤ 2 h per day of recreational screen time, and 9–11 h of sleep per night for school-aged children or 8–10 h per night for adolescents. The objective of this study was to examine the associations of compliance with physical activity, screen time, and sleep duration recommendations with the frequencies of breakfast consumption and fruit and vegetable intake among adolescents.

Methods
Data from a cross-sectional and province-wide survey of students in grades 7–12 in Ontario (Canada) were used for this analysis (n = 12,759 students; 15.2 ± 1.8 years; 56% females). Movement behaviours and eating habits were self-reported. Multivariable ordered logistic regression analyses were adjusted for age, sex, ethnoracial background, subjective socioeconomic status, and body mass index z-score.

Results
Compliance with all three recommendations was associated with more frequent breakfast consumption (OR: 2.77; 95% CI: 2.17–3.55) and fruit and vegetable intake (OR: 2.95; 95% CI: 2.41–3.62) compared with compliance with none of the recommendations. Compliance with the different combinations of recommendations was also associated with more frequent breakfast consumption and fruit and vegetable intake, with some exceptions. There was a dose–response gradient between the number of recommendations met (3 > 2 > 1) and more frequent breakfast consumption (p < 0.001) and fruit and vegetable intake (p < 0.001), with compliance with all three recommendations being the best combination.

Conclusions
These findings suggest that compliance with the physical activity, screen time, and sleep duration recommendations is associated with more frequent breakfast consumption and fruit and vegetable intake among adolescents.
Plasma Metabolomics Reveals Systemic Metabolic Alterations of Subclinical and Clinical Hypothyroidism
Authors: Shao Feifei , Li Rui , Guo Qian , Qin Rui , Su Wenxiu , Yin Huiyong , Tian Limin 
Published: October 2022

Abstract

Context
Clinical hypothyroidism (CH) and subclinical hypothyroidism (SCH) have been linked to various metabolic comorbidities but the underlying metabolic alterations remain unclear. Metabolomics may provide metabolic insights into the pathophysiology of hypothyroidism.

Objective
We explored metabolic alterations in SCH and CH and identify potential metabolite biomarkers for the discrimination of SCH and CH from euthyroid individuals.

Methods
Plasma samples from a cohort of 126 human subjects, including 45 patients with CH, 41 patients with SCH, and 40 euthyroid controls, were analyzed by high-resolution mass spectrometry–based metabolomics. Data were processed by multivariate principal components analysis and orthogonal partial least squares discriminant analysis. Correlation analysis was performed by a Multivariate Linear Regression analysis. Unbiased Variable selection in R algorithm and 3 machine learning models were utilized to develop prediction models based on potential metabolite biomarkers.

Results
The plasma metabolomic patterns in SCH and CH groups were significantly different from those of control groups, while metabolite alterations between SCH and CH groups were dramatically similar. Pathway enrichment analysis found that SCH and CH had a significant impact on primary bile acid biosynthesis, steroid hormone biosynthesis, lysine degradation, tryptophan metabolism, and purine metabolism. Significant associations for 65 metabolites were found with levels of thyrotropin, free thyroxine, thyroid peroxidase antibody, or thyroglobulin antibody. We successfully selected and validated 17 metabolic biomarkers to differentiate 3 groups.

Conclusion
SCH and CH have significantly altered metabolic patterns associated with hypothyroidism, and metabolomics coupled with machine learning algorithms can be used to develop diagnostic models based on selected metabolites.
Sodium-Glucose Cotransporter 2 Inhibitors and the Risk of Pneumonia and Septic Shock
Authors: Li Hang-Long , Tse Yi-Kei , Chandramouli Chanchal , Hon Nicole Wing-Lam , Cheung Ching-Lung , Lam Lok-Yee , Wu Meizhen , Huang Jia-Yi , Yu Si-Yeung , Leung Ka-Lam , Fei Yue , Feng Qi , Ren Qingwen , Cheung Bernard M Y , Tse Hung-Fat , Verma Subodh , Lam Carolyn S P , Yiu Kai-Hang 
Published: October 2022

AbstractContextIndividuals with type 2 diabetes mellitus (DM) have an increased risk of pneumonia and septic shock. Traditional glucose-lowering drugs have recently been found to be associated with a higher risk of infections. It remains unclear whether sodium-glucose cotransporter 2 inhibitors (SGLT2is), which have pleiotropic/anti-inflammatory effects, may reduce the risk of pneumonia and septic shock in DM.MethodsMEDLINE, Embase, and ClinicalTrials.gov were searched from inception up to May 19, 2022, for randomized, placebo-controlled trials of SGLT2i that included patients with DM and reported outcomes of interest (pneumonia and/or septic shock). Study selection, data extraction, and quality assessment (using the Cochrane Risk of Bias Assessment Tool) were conducted by independent authors. A fixed-effects model was used to pool the relative risk (RRs) and 95% CI across trials.ResultsOut of 4568 citations, 26 trials with a total of 59 264 patients (1.9% developed pneumonia and 0.2% developed septic shock) were included. Compared with placebo, SGLT2is significantly reduced the risk of pneumonia (pooled RR 0.87, 95% CI 0.78-0.98) and septic shock (pooled RR 0.65, 95% CI 0.44-0.95). There was no significant heterogeneity of effect size among trials. Subgroup analyses according to the type of SGLT2i used, baseline comorbidities, glycemic control, duration of DM, and trial follow-up showed consistent results without evidence of significant treatment-by-subgroup heterogeneity (all Pheterogeneity &gt; .10).ConclusionAmong DM patients, SGLT2is reduced the risk of pneumonia and septic shock compared with placebo. Our findings should be viewed as hypothesis generating, with concepts requiring validation in future studies.
Hypomorphism of a Novel Long ERα Isoform Causes Severe Reproductive Dysfunctions in Female Mice
Authors: Saito Kenji , Dickey Jacob E , Rodeghiero Samuel R , Toth Brandon A , Kelly Matthew J , Deng Yue , Singh Uday , Deng Guorui , Jiang Jingwei , Cui Huxing 
Published: October 2022

Abstract
Estrogen receptor alpha (ERα)–mediated estrogen signaling plays a pivotal role in both reproductive and nonreproductive functions. Transcriptional regulation of the ERα gene is highly complex, with multiple transcript variants being differentially produced across the tissues. However, tissue-specific variation and physiological specificity of the ERα variants are not yet fully understood. In an attempt to generate a Cre-dependently restorable ERα-null mouse for functional genetic studies, we unexpectedly produced ERα hypomorphic mice with biased downregulation of a previously unappreciated long ERα isoform that is enriched in the female reproductive organs (uterus and ovaries) and the pituitary but minimally expressed in the brain. Female homozygous mutant mice were capable of pregnancy but displayed irregular estrus cycle and rarely kept newborn pups alive. No significant morphological and pathological changes in reproductive system or disruption of body weight homeostasis were seen in female homozygous mutant mice. Collectively, our results define a tissue-specific enriched long ERα isoform and its preferential role in female reproductive function rather than body weight homeostasis.
Tumor-Infiltrating Neutrophils after Neoadjuvant Therapy are Associated with Poor Prognosis in Esophageal Cancer
Authors: Cabalag Carlos S. , Prall Owen W. J. , Ciciulla John , Galea Laurence A. , Thio Niko , Jayawardana Madawa , Leong Trishe Y. M. , Milne Julia V. , Fujihara Kenji M. , Chong Lynn , Hii Michael W. , Arnau Gisela Mir , Neeson Paul J. , Phillips Wayne A. , Duong Cuong P. , Clemons Nicholas J. 
Published: October 2022

Abstract
Background
In esophageal cancer (EC), there is a paucity of knowledge regarding the interplay between the tumor immune microenvironment and response to neoadjuvant treatment and, therefore, which factors may influence outcomes. Thus, our goal was to investigate the changes in the immune microenvironment with neoadjuvant treatment in EC by assessing the expression of immune related genes and their association with prognosis.

Methods
We examined the transcriptome of paired pre- and post-neoadjuvant treated EC specimens. Based on these findings, we validated the presence of tumor-infiltrating neutrophils using CD15+ immunohistochemistry in a discovery cohort of patients with residual pathologic disease. We developed a nomogram as a predictor of progression-free survival (PFS) incorporating the variables CD15+ cell count, tumor regression grade, and tumor grade.

Results
After neoadjuvant treatment, there was an increase in genes related to myeloid cell differentiation and a poor prognosis associated with high neutrophil (CD15+) counts. Our nomogram incorporating CD15+ cell count was predictive of PFS with a C-index of 0.80 (95% confidence interval [CI] 0.68–0.9) and a concordance probability estimate (CPE) of 0.77 (95% CI 0.69–0.86), which indicates high prognostic ability. The C-index and CPE of the validation cohort were 0.81 (95% CI 0.69–0.91) and 0.78 (95% CI 0.7–0.86), respectively.

Conclusions
Our nomogram incorporating CD15+ cell count can potentially be used to identify patients at high risk of recurrent disease and thus stratify patients who will benefit most from adjuvant treatment.
Numerical simulations of wave propagation in a stochastic partial differential equation model for tumor–immune interactions
Authors: Mansour Mahmoud B. A. , Hussien Hussien S. , Abobakr Asmaa H. 
Published: October 2022

Abstract
In this paper, we introduce a stochastic partial differential equation model for the spatial dynamic of tumor–immune interactions. We perform numerical simulations in order to investigate the propagation of traveling waves in model system under the influence of random space-time fluctuations. One of methods is to solve a stochastic partial differential equation system for tumor–immune cell densities. The second method is to solve a stochastic partial differential algebraic equation system in order to assess the wave behavior of the solution in comparison with the deterministic approach. Finally, we discuss the implications of the model results.
Performance of hybrid LD/LED system for UWOC link in Baltic Sea
Authors: Abd Mertah N. , Ali Mazin Ali A. , Mohammed Nadheer J. 
Published: October 2022

Abstract
In this paper, the hybrid LD/LED link for the UWOC system is proposed. The Three different wavelengths, namely 715, 532, and 412 nm are adopted as a carrier signal at different water depth variations. A simulation was carried out to assess the quality of the received signal based on bit error rate (BER), quality factor (Q. factor), and data rate. The results indicate that the suggestion system can achieve a good link with different water depths. In addition, the APD PD is better than the PIN PD. The enhancement in the maximum distance link can be achieved with an LD link.
Efficacy of aromatase inhibitor therapy in a case with large cell calcifying Sertoli cell tumour-associated prepubertal gynaecomastia
Authors: Kağızmanlı Gözde Akın , Besci Özge , Acinikli Kübra Yüksek , Şeker Gül , Yaşar Elif , Öztürk Yeşim , Demir Korcan , Böber Ece , Abacı Ayhan 
Published: October 2022

Abstract

Objectives
Large cell calcifying Sertoli cell tumours (LCCSCTs) are one of the infrequent causes of prepubertal gynaecomastia. Most of these tumours are in the content of Peutz–Jeghers syndrome (PJS) or other familial syndromes (Carney complex).

Case presentation
Here, we report a long-term follow-up of an 8.5-year-old prepubertal boy with a diagnosis of PJS, who presented with bilateral gynaecomastia, advanced bone age and accelerated growth velocity, and were found to have bilateral multifocal testicular microcalcifications. As the findings were compatible with LCCSCT, anastrozole was initiated. Gynaecomastia completely regressed and growth velocity and pubertal development were appropriate for age during follow-up. Testicular lesions slightly increased in size. After four years of medication, anastrozole was discontinued but was restarted due to the recurrence of gynaecomastia after six months.

Conclusions
Testicular tumour should be investigated in a patient with PJS who presents with prepubertal gynaecomastia. When findings are consistent with LCCSCT, aromatase inhibitors may be preferred in the treatment.
A review on optimal UPFC device placement in electric power systems
Authors: Ammar Yasser M. , Elbaset Adel A. , Adail Ahmed S. , Araby Sayed E.L. , Saleh Alaa A. 
Published: October 2022

Abstract
UPFC device is discussed in this paper along with their models and functions. Moreover, the suggested and the complementally approaches in the current research study. As a result, the methods are divided into three divisions, which are sensitivity analysis based methods, conventional optimization based methods and artificial intelligence (AI) based methods. In addition, artificial intelligence based methods plays a major role in reducing the search space region. However, to optimize the resulting benefits, the placement, sizing and parameter of UPFC device should be determined. This paper presents and discusses in depth an overall review of the last two decades’ studies, including proposed and comparative methods and strategies, approaches, objective functions, UPFC device tools utilized, limitations, contingency situations and all parameters evaluated and simulated. This paper also provides an analysis of UPFC’s various benefits and uses of power flow studies, such as, power loss mitigation, system load ability improvement, power system security, enhancement of voltage stability, cost of generation and UPFC installation and utilizing specific optimization techniques. Therefore, a more weighted overview of the proposed method is presented focused on artificial intelligence optimization methods.