bluuebunny/crossref_metadata_2025_split huggingface dataset:
Potential Wind Energy Assessment Using Full-scale Geometrical Model of an Urban Coastal City in Egypt on the Mediterranean
Authors: Shehata Ahmed S. , Ali Amr Ibrahim , Ibrahim Ibrahim M. , Hemedia Fahd A. 
Published: July 2023

Abstract

Architects and infrastructure planners have often recommended the construction of small and medium-sized wind turbines on the rooftops of tall buildings as a viable option for achieving renewable energy in building architecture. Wind turbines in the developed environment present several problems, including reduced energy yield due to lower mean wind speeds in urban environments and environmental effects due to their proximity to people and land. As a result of the existence of buildings and other nearby obstacles, the wind is usually erratic, unpredictable, and slow in terms of direction and intensity in such areas. The inflow wind conditions for a small wind turbine in the urban environment must be understood. Wind characteristics such as zones of wind displacement, recirculation, obstruction, and channeling can be determined by a resource evaluation of a possible wind turbine site in the urban environment. This expertise is critical for predicting blade fatigue loads correctly in the design phase of a small wind turbine and ensuring that it runs safely and operates optimally in the field. CFD is a valuable tool for modelling wind streams to conduct a resource assessment for the application of micro-scale wind turbines that takes less time and money than other methods.
An Experimental Approach on the Performance of Olea europaea (Olive Oil) Based Ecofriendly Biofuels with Butylated hydroxyanisole and Butylated hydroxytoluene: Optimization using Response Surface Methodology - Central Composite Design
Authors: Thangaraj Hariharasudhan , David Prince Winston , Balachandran Gurukarthik Babu , Sivasekar Gowthama Kannan 
Published: July 2023

Abstract
In this paper, an effort is made to develop the alternate insulating liquid for the power transformer applications. With that aim, the edible natural esters such as refined Olea europaea (olive oil), rice bran oil, soya bean oil, sunflower oil and corn oil are investigated as the suitable replacement for the mineral oil (MO) used in the transformer. Also, the blended natural esters are made with olive oil and other natural esters for further analysis with the above aspiration for better insulating medium. The effect of antioxidants inclusion is also studied for analyzing the performance enrichment of blended natural esters. Butylated hydroxyanisole (BHA) and Butylated hydroxytoluene (BHT) were chosen as antioxidants for this work. In this study, we aim to investigate the role of key input factors [A-Speed, B-Time, and C-Temperature] on the output response [Y-Breakdown Voltage]. It was determined that the optimal condition for the [Y] is at [A] of 699.91 rpm, [B] of 49.95 min, and [C] of 88.75 °C. In order to ensure natural esters are desirable, some critical properties are measured, such as Breakdown Voltage (BDV), viscosity, fire point (FeP), and flash point (FhP). In accordance with international standards such as American Society for Testing and Materials (ASTM) and International Electrotechnical Commission (IEC), measurements are conducted. From the results, it is observed that the natural esters and blended natural esters have the ability to use in the transformer as alternate insulating medium and also the antioxidants have the significant effect on the properties of natural ester combinations.
Last Millennium Hurricane Activity linked to Endogenous Climate Variability
Authors: Yang Wenchang , Wallace Elizabeth , Vecchi Gabriel , Donnelly Jeffrey , Emile-Geay Julien , Hakim Gregory , Horowitz Larry , Sullivan Richard , Tardif Robert , Hengstum Peter van , Winkler Tyler 
Published: July 2023

Abstract
Although Atlantic hurricane risk is expected to increase in a warming climate, projecting trends in hurricane frequency over the present century is still highly uncertain. The short instrumental record limits our understanding of hurricane activity and its relationship to climate, especially on multi-decadal and longer time scales. Here we extend the instrumental hurricane frequency record using two independent sources of information: (1) a reconstruction of basin-wide Atlantic hurricane frequency over the last millennium, developed from sedimentary paleohurricane records; (2) a statistical model of hurricane activity using sea surface temperatures (SSTs) from the Last Millennium Reanalysis (LMR) datasets. We find statistically significant agreement between the two estimates, suggesting that a robust climate signal of hurricane frequency over the past millennium can be captured from proxy data. Neither estimate of hurricane frequency indicates that the late 20th century hurricane frequency is outside the range seen over the past millennium. Numerical simulations using a hurricane-permitting climate model suggest that hurricane activity over the last millennium was likely driven by endogenous climate variability and linked to anomalously warm SSTs over the Atlantic Main Development Region (MDR) as well as cold phases of Interdecadal Pacific Oscillation (IPO) SSTs. The forced signal estimated from the Last Millennium Ensemble (LME) project suggests that volcanic eruptions can induce peaks in hurricane activity, but such peaks would likely be too weak to be detected from reconstruction records due to large endogenous variability.
Neural Correlates of Hypnosis: Insights from EEG-Based Machine Learning Models
Authors: Farahzadi Yeganeh , Alldredge Cameron , Kekecs Zoltán 
Published: July 2023

Abstract
Hypnosis, a state of focused attention and heightened suggestibility, can be used as a therapeutic tool that yields similar effects to those of medications but without known side effects. Despite extensive fascination and study, the neural mechanisms behind hypnosis remain elusive. In the current study, we undertook a systematic exploration of these neural correlates. We first extracted well-studied neurophysiological features from EEG sensors and source-localized data using spectral analysis and two measures of functional connectivity—weighted phase lag index (wPLI) and power envelope correlation (PEC). Next, we developed classification models that predicted self-rated hypnotic experience based on the extracted feature sets. Our findings reveal that gamma power computed on sensor-level data and beta PEC computed between source-localized brain networks are the top predictors of hypnosis depth. Further SHapley Additive exPlanations (SHAP) analysis suggested reduced gamma power in the midline frontal area and increased beta PEC between interhemispheric Dorsal Attention Networks (DAN) contribute to the hypnotic experience. These results broaden our understanding of the neural mechanisms of hypnosis, highlighting potential targets for future research. Moreover, this study demonstrates the potential of using machine learning techniques in understanding the neural underpinnings of hypnosis, offering a template for future investigations. his study was registered at https://doi.org/10.17605/OSF.IO/WVHDA on 30/03/2021.
Perampanel Effectiveness in Treating ROGDI-Related Kohlschütter- Tönz Syndrome: First Reported Case in China and Literature Review
Authors: Meng Linxue , Huang Dishu , Xie Lingling , Song Xiaojie , Luo Hanyu , Gui Jianxiong , Ding Ran , Zhang Xiaofang , Jiang Li 
Published: July 2023

Abstract
Purpose
This study reported the first case of Kohlschütter-Tönz syndrome (KTS) in China and reviewed the literature on the 43 reported cases.
Methods
This patient was registered at the Children’s Hospital of Chongqing Medical University. A pathogenic ROGDI variant was identified using trio whole exome sequencing (trio-WES). The patient’s symptoms and treatments were recorded in detail, and the patient was monitored for six years. 43 cases of ROGDI-related KTS were retrieved. The pathogenicity of the variants was predicted using SpliceAI and MutationTaster, and the structures of the ROGDI mutations were constructed using I-TASSER.
Results
The patient presented with epilepsy, global developmental delay, and amelogenesis imperfecta. A trio-WES revealed homozygous mutations in ROGDI (c.46 − 37_46-30delGGCGGGGC). The MRI and VEEG were normal. The efficacy of perampanel (PMP) in treating seizures and developmental retardation was apparent.
Conclusion
Our study presented the first case of ROGDI-related KTS in the Chinese population, which added to the existing knowledge of this spectrum disorder. Clinicians may contemplate PMP therapy for KTS patients with epilepsy. Co-occurring conditions of KTS included attention deficit hyperactivity disorder (ADHD), suspected autism spectrum disorder (ASD), and self-harm behaviors.
Prevalence and factors associated with undernutrition among 15–49- year-old women in Sierra Leone: A secondary data analysis of Sierra Leone Demographic Health Survey of 2019
Authors: Ikoona Eric Nzirakaindi , Alema Nelson Onira , Toure Mame Awa , Eleeza Oliver , Matovu John Bosco , Njenga Amon , Namulemo Lucy , Kaluya Ronald , Kamara Kassim , Oyat Freddy Wathum Drinkwater , Olal Emmanuel , Aloyo Judith , Kitara David Lagoro 
Published: July 2023

Abstract
Background: Undernutrition of non-pregnant women of childbearing age is pertinent for maternal and offspring health. This study aimed to determine the prevalence and factors associated with undernutrition, underweight, and stunting, among women of reproductive age (15-49 years) in Sierra Leone using secondary data analysis of the 2019 Demographic Health Survey.
Methods: Anthropometric measurements and maternal characteristics were obtained from the Sierra Leone Demographic Health Survey (SLDHS) of 2019. The heights and weights of women were measured, and BMI in kg/m2 was calculated. Based on the World Health Organization's recommendations, stunting was defined as having heights <145cm, and underweight as BMI <18 kg/m2. Multivariable logistic regression analyses were conducted to identify correlates of undernutrition, with a significance level of p<0.05.
Results: A total of 7,514 women of reproductive age, 15-49 years, participated in this study. The prevalence of stunting and underweight was 1.5% (113/7514) and 6.7%(502/7,514), respectively. Women with primary education had a 47% lower likelihood of stunting (adjusted Odds Ratio [aOR]=0.53, 95% Confidence Interval [CI]: 0.30-0.94;p=0.029) than secondary education. Similarly, women in the poorest wealth index had a 51% lower likelihood of stunting (aOR=0.49,95%CI:0.27-0.88;p=0.017) than middle wealth index. However, underweight was 1.48 times more likely among women with a parity of one-to-four (aOR=1.48,95% CI:1.08-2.03;p=0.015) than women who had never given birth. Additionally, underweight was 1.41 times more likely among women who listened to radios (aOR=1.41,95% CI:1.14-1.74;p=0.002) than those who did not. Notably, age groups of 15-19 years and 40-49 years had a 54% (aOR=0.46,95%CI:0.34-0.62;p<0.001) and 34% (aOR=0.66,95%CI:0.45-0.97;p=0.035) lower likelihood of underweight, respectively, than 20-29-year age group. Women with primary education had a 26% lower likelihood of underweight (aOR=0.74,95%CI:0.56-0.99;p=0.042) than secondary education. However, none of the wealth indices were significantly associated with underweight.
Conclusion: The prevalence of underweight and stunting among women of reproductive age, 15-49 years, in Sierra Leone was lower compared to regional and world data. This study highlights similarities and differences in this population's prevalence and correlates of stunting and underweight. Primary education was less likely in both underweight and stunting, while parity of one-to-four and listening to radios were significantly associated with underweight. Further trend studies using DHS data from 2010, 2014, and 2019 are warranted to understand the dynamics of undernutrition in Sierra Leone.
Designing a Constructivist Mobile Application to Foster Creative Thinking in Undergraduate Students: Development and Evaluation
Authors: Jarutkamolpong Suwisa , Kwangmuang Parama , Nguyen Lan , Duangngern Pornpisut 
Published: July 2023

Abstract
Seamless usage of mobile applications in promoting individual learners’ creativity and facilitating their personal learning activities is increasingly acknowledged. This research aimed to design and develop a mobile application based on a constructivist learning environment to enhance creative thinking for undergraduate students. The re- search was conducted in two phases: (1) designing the elements of mobile applications by gathering input from 28 undergraduate students and nine experts through interviews and surveys and (2) assessing the effectiveness of mobile applications on students’ creative thinking through tests and interviews. The results revealed that the development of mobile applications consisted of six components, namely, 1) problem base; 2) learning resources; 3) scaffolding; 4) center for collaborative learning; 5) coach; and 6) creative thinking center. Through the proficient utilization of mobile applications, learners engage in immersive experiences and practical exercises that bolster their creative thinking capabilities within their academic interest. Students showed notable improvements in their average creative thinking scores after using the extensive mobile application, demonstrating the application’s powerful effectiveness. Future research endeavors should prioritize augmenting the sample size and delving into precise metrics to appraise creative thinking, thus strengthening the robustness of the findings.
Real-time prediction of bladder urine leakage using fuzzy inference system and dual Kalman filtering in cats
Authors: Qasemi Amirhossein , Aminian Alireza , Erfanian Abbas 
Published: July 2023

Abstract
The use of electrical stimulation devices to manage bladder incontinence relies on the application of continuous inhibitory stimulation. However, continuous stimulation can result in tissue fatigue and increased delivered charge. Here, we employ a real-time algorithm to provide a short-time prediction of urine leakage using the high-resolution power spectrum of the bladder pressure during the presence of non-voiding contractions (NVC) in normal and overactive bladder (OAB) cats. The proposed method is threshold-free and does not require pre-training. The analysis revealed that there is a significant difference between voiding contraction (VC) and NVC pressures as well as band powers (0.5-5 Hz) during both normal and OAB conditions. Also, most of the first leakage points occurred after the maximum VC pressure, while all of them were observed subsequent to the maximum VC spectral power. Kalman-Fuzzy method predicted urine leakage on average 2.17 s and 1.64 s before its occurrence and an average of 1.96 s and 1.13 s after the contraction started in normal and OAB cats, respectively, with a 100% success rate. This work presents a promising approach for developing a neuroprosthesis device, with on-demand stimulation to control bladder incontinence.
Changes in retinal layers after pars plana vitrectomy for rhegmatogenous retinal detachment
Authors: Bernabei Federico , Jacquiod Benjamin , Frongia Francesca , Azan Frederic , Vagge Aldo , Peiretti Enrico , Guerrier Gilles , Rothschild Pierre-Raphael 
Published: July 2023

Abstract
Visual recovery after retinal detachment is often delayed despite surgical success. Changes in retinal thickness have been shown to occur after vitrectomy for retinal detachment and visual acuity seems to be related with these modifications. In this retrospective study we investigated the thickness of retinal layers using optical coherence tomography in patients successfully treated for rhegmatogenous retinal detachment between December 2014 and March 2023. We further investigated possible related clinical and demographic characteristics. A total of 1313 patients were initially identified. Of these, 1282 patients were excluded and finally 31 eyes from 31 patients were included. Twelve months after the surgical procedure the total retinal thickness, in particular, the outer nuclear layer thickness, significantly increased compared to one month postoperatively (respectively, 270.6 ± 34.2 vs. 288.0 ± 29.7, P < 0.001 and 79.5 ± 23.3 vs. 92.9 ± 16.5, P < 0.001). Factors associated with the increase were age, macula off status and the use of SF6 tamponade (all P < 0.05). No correlation was found between the increase in outer nuclear layer thicknesses and the final visual acuity in pseudophakic patients.
SARS-CoV-2 Reinfection by Omicron Variant in Shaanxi Province, China, December 2022 to February 2023
Authors: Zhang Mengyan , Cao Lei , Zhang Luqian , Li Xinxin , Chen Sa , Zhang Yi 
Published: July 2023

Abstract
Background
Before December 2022, we had not reported a patient in Shaanxi province, China, who had been reinfected with the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Since then, China has refined its strategy for response to coronaviruses. The purpose of this study was to determine the incidence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) reinfections and compare the severity of the first and second episodes of infection in Shaanxi Province, China.
Methods
We used the epidemiological survey system with the electronic questionnaires to investigated the possibility of SARS-CoV-2 reinfection among those who previously were infected with coronavirus disease 2019 during the Omicron predominant infection wave beginning in December 2022. Logistic regression model was used to test the influencing factors of SARS-CoV-2 reinfections.
Results
The rate of reinfection for Omicron variants was 5.92%, 1.96%, and 1.28% 7–9 months, 4–5 months, and 2–3 months after the primary infection, respectively. The rate of reinfection for Delta variations was 25.10% 11–12 months after the primary infection. There were no significant changes in the severity of infection between first infection and reinfection. Adults between the ages of 18 and 38 and being a medical worker have been associated to an increased chance of reinfection.
Conclusions
SARS-CoV-2 reinfections might increase over time throughout Omicron variant-dominant infection waves. Large-scale infections are less likely to prevail in the following Omicron epidemic period. It is essential to continuously monitor infection cases as well as emerging SARS-CoV-2 variants.
Transparent and Reproducible AI-based Medical Imaging Pipelines Using the Cloud
Authors: Bontempi Dennis , Nuernberg Leonard , Krishnaswamy Deepa , Hosny Ahmed , Farahani Keyvan , Kikinis Ron , Fedorov Andrey , Aerts Hugo JWL 
Published: July 2023

Abstract

Artificial intelligence (AI) algorithms hold the potential to revolutionize medical imaging. However, a significant portion of the published literature lacks transparency and reproducibility, which hampers sustained progress toward clinical translation. Although several reporting guidelines have been proposed, identifying practical means to address this issue remains challenging. Here, we discuss the potential of cloud-based infrastructures for implementing and sharing transparent and reproducible AI-based medical imaging pipelines. Starting from a published cancer imaging study investigating an AI biomarker for the prognostication of non-small cell lung cancer patients, we demonstrate end-to-end reproducibility of the research from retrieving cloud-hosted data, through data pre-processing, deep learning inference, and post-processing, to the analysis and reporting of the final results. By leveraging cloud-based platforms, using data hosted by the Imaging Data Commons (IDC) combined with code and compute resources, we make every step of the analysis and the resulting data easy to access, reproduce, and share. Our approach demonstrates the potential of cloud resources for implementing, sharing, and using reproducible and transparent AI pipelines in medical imaging, which can accelerate the translation into clinical solutions.
Effect of Physical Exercise on Negative Emotions in Adolescent: a Chain-Mediated Effect of Self-efficacy and Mental Toughness
Authors: Yu Haoran , Mu Qinglei 
Published: July 2023

Abstract
The research aims to study the effects of physical exercise on negative emotions of adolescent and the mediating role of self-efficacy and mental toughness, providing empirical references and theoretical basis for optimizing and improving the mental health of adolescent. An online questionnaire survey is conducted on 1426 adolescent (726 males and 700 females) in Chengdu, China, and the survey data are analyzed through using SPSS26.0 and AMOS24.0. The following are the results of the study: Physical exercise significantly positively predicted self-efficacy and mental toughness (β = 0.518, 0.54, P < 0.01) and significantly negatively predicted negative affect (β = -0.529, P < 0.01); both self-efficacy and mental toughness significantly negatively predicted negative affect (β = -0.591, P < 0.01; β = -0.64, P < 0.01), and self-efficacy perceptions significantly and positively predicted mental toughness (β = 0.759, P < 0.01); the mediating effect had three pathways: physical exercise → self-efficacy → negative emotions (95% CI: - 0.179 to - 0.022), physical exercise → mental toughness → negative emotions (95% CI: - 0.103 to - 0.032), physical exercise → self-efficacy → mental toughness → negative mood (95% CI: -0.329 to -0.152), with relative mediating effects accounting for 13.4%, 10.7%, and 39.3%, respectively. Therefore, self-efficacy and mental toughness play a mediating role in the influence of physical exercise on negative emotions of adolescent. Physical exercise can enhance self-efficacy and mental toughness, which in turn inhibit the generation of negative emotions and promote the physical and mental health development of adolescent.