bluuebunny/crossref_metadata_2025_split huggingface dataset:
Individual Choices of Wintering Areas Drive Adult Survival Heterogeneity in a Long‐Lived Seabird
Authors: Genovart M. , Ramos R. , Igual J. M. , Sanz‐Aguilar A. , Tavecchia G. , Rotger A. , Militão T. , Vicente‐Sastre D. , Garcia‐Urdangarin B. , Pradel R. , González‐Solís J. , Oro D. 
Published: December 2024

ABSTRACTSeasonal migration has evolved as an adaptation for exploiting peaks of resource abundance and avoiding unfavourable climatic conditions. Differential migratory strategies and choices of wintering areas by long‐distance migratory species may impose varying selective pressures and mortality risks with fitness consequences. Recently developed tracking technologies allow wintering movements of migratory species to be studied. However, these technologies typically involve a limited number of tracked individuals, which gives low statistical power for any robust estimate of survival probabilities. Additionally, when utilising geolocators, data become accessible only upon individual recapture, presenting a potential source of bias. We used multievent modelling to include information of 147 identified wintering tracks in the analysis of 1104 long‐term individual capture histories (2000–2022) of migratory seabird Calonectris diomedea and then test if individual preferences for wintering areas may drive heterogeneity in adult survival. We also examined individual fidelity to wintering areas and tested if climatic and oceanographic conditions, as represented by the wNAO and SOI climatic indices, influenced survival and fidelity. The probability of fidelity to a wintering area was ca. 0.79. Annual changes between areas were influenced by environmental variability driven by the wNAO. Survival probability was influenced by the SOI and differed between wintering areas; these differences coupled with high wintering site fidelity, generated individual heterogeneity in adult survival. Our study reveals that, over the last two decades, some individuals wintered in less suitable areas, with nonnegligible consequences on adult survival, the parameter to which the population growth rate is most sensitive in long‐lived species. Winter oceanographic conditions such as stormy weather or the proximity to upwellings probably play a relevant role in driving survival heterogeneity. Further research is needed to enhance our understanding of how the interlinked effects of climate, local selective pressures and individual condition shape population dynamics in migratory species.
Thermodynamic analysis of supercritical carbon dioxide cycle using waste heat of V18 MAN 51/60DF engine
Authors: Şahin Mehmet Erhan , Elbir Ahmet , Özgür Arif Emre 
Published: December 2024

AbstractThis study investigates the integration of the supercritical carbon dioxide (S‐CO2) cycle with V18 MAN 51/60DF engines for waste heat recovery in powerships, representing a significant advancement in energy production efficiency. Detailed analysis focuses on the micro S‐CO2 cycle's potential in terms of energy efficiency, environmental sustainability, and economic benefits. The results demonstrate the system's capability to utilize 374.4 kW of heat provided by 1 kg/s air flow, achieving an exergy efficiency of 9.7% and an energy efficiency of 21.8%. The compressor requires 35.51 kW of work, while the turbine produces 89.62 kW, resulting in a net work output of 54.11 kW. The CO2 mass flow rate is 0.9988 kg/s, and 320.3 kW of heat is transferred to sea water through a flow rate of 0.1231 kg/s. These studies show that the micro supercritical carbon dioxide cycle has great potential in energy production and waste heat recovery and may offer an important innovation to increase energy efficiency, especially in powerships. It highlights the potential of this innovative technology to deliver higher efficiency, lower carbon emissions, and more compact designs than traditional energy conversion systems. These findings indicate that the S‐CO2 cycle can effectively enhance energy production in future projects, offering a promising solution for sustainable power generation.
Search Survive Optimization Based Deep Incorporated Model for Electric Vehicle Battery Fault Detection
Authors: Jha Shashank Kumar , Jha Sumit Kumar , Jha Bishnu Mohan 
Published: December 2024

ABSTRACTWith the progressive switching from a conventional transportation system to an intelligent transportation system (ITS), the eco‐friendly alternative is made possible in metro cities. Moreover, electric vehicles (EVs) gained more attention due to their low charging costs, low energy consumption, and reduced greenhouse gas emissions. However, a single failure or malfunction in an EV's intrinsic components due to poor charging infrastructure can bring about a high tendency of fault occurrence that needs to be diagnosed earlier for efficient safety management. In addition, ensuring the safety and reliability of these EV batteries remains a critical challenge that underscores the importance of an efficient battery fault detection system, pivotal in enhancing battery safety and lifespan. Hence, the research centers on developing a well‐structured battery fault detection model leveraging a Search‐ Survive optimization (SSO) based deep incorporated model. This incorporated model combines Deep Convolutional Neural Network (Deep CNN), Deep Bidirectional Long‐Short Term Memory (Deep BiLSTM), and Deep Belief Network (DBN) that assists in extracting the hierarchical representations and the spatial–temporal features associated with the various EV faults. The deep incorporated model is optimized with SSO that aids the model to perform enhanced battery fault detection of EVs. Performance assessment relies on key parameters like accuracy, sensitivity, and specificity, based on the NASA battery dataset. Impressively, the SSO‐based Deep Incorporated model attains an accuracy of 96.00%, sensitivity of 96.29%, and specificity of 95.72 for 80% of training. With k‐fold 10 validation, the proposed model attained the metric values of 96.31%, 97.29%, and 95.32% respectively using the NASA dataset and surpassed other existing techniques.
Parametric Investigation to Assess the Charging and Discharging Time for a Latent Heat Storage Material‐Based Thermal Energy Storage System for Concentrated Solar Power Plants
Authors: Rudrapati Ramesh , Chavan Santosh , Kim Sung Chul 
Published: December 2024

ABSTRACTThermal energy storage (TES) systems are becoming increasingly crucial as viable alternatives for effective energy utilization from various sources, such as solar power plants and waste heat from different industrial sectors. The present work focuses on latent heat TES system optimization for solar thermal power plant applications. This study aims to assess the impact of different thermal processing factors on the efficiency of TES systems. Parametric analysis determines a TES system's charging and discharging durations that use latent heat storage material. Thermal processing conditions were selected as input parameters, such as the heat transfer fluid inlet temperature, flow rate, and number of phase change material (PCM) capsules. Experiments were planned to use the L9 orthogonal array of the Taguchi method, and response measures, such as charging time (CT) and discharging time (DT), were monitored. A signal‐to‐noise ratio analysis was used to evaluate the significance of the thermal processing parameters on the response measures. Response surface methodology (RSM) postulates the mathematical relationships between process conditions and responses. Finally, the multi‐objective Jaya optimization algorithm (MOJOA) was used to optimize the parametric combination to minimize CT and maximize DT simultaneously. A heat transfer fluid inlet temperature of 65°C, flow rate of 2 L/min, and 40 PCM capsules were determined as the optimal parametric conditions by MOJOA for predicting the combined CT and DT. The verification test results substantiate the enhanced responses of the latent heat TES system, specifically in the CT and DT. Utilizing the integrated Taguchi method, RSM‐MOJOA is advantageous for examining, modeling, and predicting PCM‐based TES systems.
Development of Structured Illumination Microscope Using Transmission Diffraction Grating Obtained by Analog Microfilming Method
Authors: Denčevski Aleksa , Jelić Jovana Z. , Senkić Ana , Krmpot Aleksandar J. , Rabasović Mihailo D. 
Published: December 2024

ABSTRACTWe present the development of a custom‐built structured illumination microscope (SIM) featuring a specially designed transmission diffraction grating. Employing the analog microfilming method, we fabricated transmission diffraction gratings suited to the specific requirements of our system. This robust and cost‐effective method allows for the fabrication of diffraction gratings with customized constants, ensuring excellent transmission in both the visible and near‐infrared spectra. Additionally, to assess the performance of our system, we measured the resolution in both epifluorescent and super‐resolution imaging modalities by applying two independent methods: the conventional resolution measurement using fluorescent beads and the knife‐edge technique applied on the MoS2 monolayer flakes. Both methods confirmed enhancement in the resolution of SIM over the epifluorescent imaging modality. Furthermore, we have successfully demonstrated the capabilities of our microscope by imaging fluorescently labeled astrocytes, specifically targeting the vimentin filament protein within these cells. The super‐resolution images reveal fine structures of the vimentin cytoskeleton that remain unresolved in the epifluorescent image.
The Association Between Atopic Dermatitis and Inflammatory Bowel Disease Risk: A Meta‐Analysis of Longitudinal Studies
Authors: Yu Pengfei , Lin Li , Xue Kaiyuan , Yang Jingwen , Wang Shanshan , An Yuepeng , Yang Suqing 
Published: December 2024

ABSTRACTAimsThis review aimed to investigate whether atopic dermatitis (AD) increases the risk of inflammatory bowel disease (IBD) by analyzing data from longitudinal studies.MethodsCohort and case–control studies evaluating the association between AD and the risk of IBD, Crohn's disease (CD), or ulcerative colitis (UC) were included. Literature searches were conducted in PubMed, CENTRAL, Embase, Scopus, and Web of Science databases up to April 15, 2024.ResultsA total of eight retrospective cohort studies comprising 61 190 816 participants were included. Meta‐analysis revealed that AD significantly increased the risk of IBD (OR: 1.37, 95% CI: 1.31–1.43) without statistical heterogeneity. Further pooled analysis showed that AD was a significant risk factor for CD (OR: 1.51, 95% CI: 1.31–1.76) and UC (OR: 1.33, 95% CI: 1.13–1.56), with high inter‐study heterogeneity (I2 = 83% and 89%, respectively). Sensitivity analyses confirmed the robustness of the results.ConclusionAD is associated with an increased risk of IBD, significantly elevating the risk of both CD and UC.
Measuring the association between diagnostic errors and neighborhood disadvantage
Authors: Kaiksow Farah A. , Brendel Marina , Hubbard Colin C. , Lee Tiffany , Chia David , Brooks Katherine , Ruhnke Gregory W. , Raffel Katie E. , Goyal Abhishek , Kantor Molly A. , Helminski A. Shams , Alday Angela , Astik Gopi J. , Barish Peter , Schnipper Jeffrey L. , Auerbach Andrew D. 
Published: December 2024

AbstractPatients who reside in areas of high neighborhood disadvantage have poorer health outcomes; the mechanisms for this disparity are complex. We sought to determine if there was an association between neighborhood disadvantage and diagnostic error among a cohort of adult inpatients who experienced either an ICU transfer or in‐hospital death. Using a sample of 527 patients from seven geographically diverse academic medical systems, we compared diagnostic error rates to patients' neighborhood disadvantage levels as measured by the Area Deprivation Index, a validated composite measure of socioeconomic status. In contrast to previous studies that found differences in hospital care based on socioeconomic status, we found no difference in diagnostic error rate between patients based on neighborhood disadvantage. Once a patient reaches the hospital, their risk of diagnostic error is not related to the neighborhood in which they live.
Collaborative use of a 3D anatomy platform to motivate and enhance anatomy learning in first‐year online medical sonography students
Authors: Fenech Michelle , Mead Nadia 
Published: December 2024

AbstractIntroductionSonography students require a deep understanding of structural anatomy, including where structures sit relative to one another. Additionally, they need to learn the complex task of identifying structures on medical images including X‐rays, computed tomography, magnetic resonance imaging and ultrasound imaging. Anatomy can be taught online, but learning can be challenging for students. Online three‐dimensional (3D) anatomy platforms aid student learning, but research investigating how to use them effectively when teaching is scarce. This project evaluated the impact of incorporating a three‐dimensional (3D) online anatomy platform into teaching relative structural anatomy and assist sonography students when learning how to recognise structures on medical images.MethodsSixty‐one first‐year sonography students within an articulated undergraduate and postgraduate medical sonography programme in Australia, studying anatomy online participated in this mixed methods study. The impact of using a 3D online anatomy platform on their conceptual 3D anatomy understanding of relative anatomy, development of medical image recognition skills and their learning experience was assessed via a Qualtrics survey.ResultsStudents who used this platform collaboratively enhanced their relative anatomy understanding and developed the skill of identifying structures from medical images. The scaffolded use of this platform generated enquiry discussions between teachers and students and made learning anatomy online a social and enjoyable experience.ConclusionCollaborative and interactive scaffolded use of 3D online anatomy platforms can motivate and encourage student questions and discussions, enabling social connections and enhancing their learning experience. Student enquiry skills were developed, and the more complex task of identifying structures from medical images was made achievable.
Work‐Family Balance, Digital Leadership Skills, and Family Social Support as the Predictors of Subjective Well‐Being of Y‐Generation Managers
Authors: Rahman Md. Mizanur , Salamzadeh Aidin , Dana Leo Paul , Braga Vitor 
Published: December 2024

ABSTRACTOver the past few years, academic scholars have shifted toward paying more attention to work‐family balance, family social support, and subjective well‐being, as these are critical issues for mature employees. Besides, Y‐Gen managers are more concerned about their digital leadership skills, which is also crucial for subjective well‐being. However, for this study, the researchers have constructed the main research variables (work‐family balance, digital leadership skills, family social support, and subjective well‐being) based on the assumptions of spillover theory and conservation of resources (COR) theory. The current study has three distinct objectives: (a) to determine the impact of work‐family balance, digital leadership skills, and family social support on subjective well‐being, (b) to test the mediation effects of family social support in the relationships between work‐family balance, digital leadership skills and subjective well‐being (c) to test the moderation effects of gender on the relationships between work‐family balance, digital leadership skills and subjective well‐being. Using the convenience sampling technique, data was taken from 314 Y‐Gen mid and top‐level managers working in the private sector in Bangladesh. The findings revealed that work‐family balance, digital leadership skills, and family social support positively affect Y‐Gen managers' subjective well‐being. Besides, family social support partially mediates the relationships between work‐family balance, digital leadership skills and subjective well‐being. However, gender does not have any moderation effect on the relationship between work‐family balance, digital leadership skills and subjective well‐being. Therefore, the higher authority needs to focus more on Y‐Gen managers regarding work‐family balance and digital leadership skills.
Stable and Periodic Soliton Molecules in the Fiber Ring Laser
Authors: Ban Xiaoqiang , Li Xiaohui , Li Qian , Fu Hongyan 
Published: December 2024

ABSTRACTStable and periodic soliton molecules (SMs) have been studied numerically by coupled nonlinear Schrodinger equations (CNLSEs). Split and formation processes of different‐order SMs are observed by changing saturation power and filtering bandwidth. Bimodal pulses of SMs are in a transition state toward higher‐order SMs. Short‐period and long‐period SMs are observed by adjusting saturation power. The research contributes to revealing SM dynamics, which has potential applications in encoding as well as optical storage.
Using Urban Residue in Polylactic Acid Composites Part I: Effect of Castor Oil on the Crystallization Kinetics
Authors: Dantas Lorena Vanessa Medeiros , Araújo Amanda Meneses , Barros Janetty Jany Pereira , da Silva Mary Gleyce Andrade , Luna Carlos Bruno Barreto , Bezerra Elieber , Barreto José Vinícius , Araújo Edcleide , de Melo Renato Pereira , Wellen Renate Maria Ramos 
Published: December 2024

AbstractThis work aimed analyzing the chemical and thermal aspects of Polylactic Acid (PLA) composites with Coconut Fiber (CF) and irradiated Coconut Fiber (CFI), upon castor oil (CO) addition. Influence of treated and untreated CF, at 10 and 20 wt.%, on the crystallization kinetics of PLA/CO composites is also investigated. At first, CF is chemically treated through mercerization under NaOH solution with subsequent gamma irradiation. Chemical changes include absence of bands ≈3300 cm−1 and the presence of vibrations at 3000–2851 cm−1 in composites with treated fibers, as evidenced by fourier transform infrared spectroscopy (FTIR). Thermal behavior, as well as crystallization kinetics, are investigated by differential scanning calorimetry (DSC) at different heating rates (5, 10, 15, and 20 °C min−1), using Pseudo‐Avrami (PA), Kissinger‐Akahira‐Sunose (KAS), and Ozawa‐Flynn‐Wall (OFW) models. Activation energy (Ea) is calculated using OFW, KAS, Friedman (FR), and Vyazovkin (VZ) methods. Results showed changes in the FTIR spectra for PLA/5%CO/10%CF and PLA/5%CO/20%CFI, indicating absence of the carbonyl group (1594 cm−1) present in the ester group of PLA. Insertion of CFs increased the crystallization temperature. Presence of CFI provided an inversion in Ea, when compared to PLA/CO, suggesting that irradiation induces PLA stronger interactions. Gathered results highlight the potential of modified coconut fibers for the development of sustainable composite materials.
Three Measures to Control a Spatiotemporal Epidemic Model: An Optimal Control Approach
Authors: Ben Rhila Soukaina , Karim Marouane , Rachik Mostafa 
Published: December 2024

ABSTRACTIn this paper, we examine the impact of the main disease control measures such as vaccination, isolation, and treatment on the spread of a disease in a given population. based on a SIQRS spatio‐temporal epidemiological model. Our main objective is to characterize an optimal control that minimizes the number of infected individuals and the control costs over a finite spatial and temporal domain. Much of this work has been devoted to mathematical study, where the existence of optimal controls has been proved. We give their description in terms of state variables and adjoint variables, and the optimality system is solved numerically using a forward‐backward sweep method. To illustrate the effectiveness of our theoretical results, we present numerical simulations for several scenarios. Our results may be useful for the development of disease control strategies.
Podocyte YAP ablation decreases podocyte adhesion and exacerbates FSGS progression through α3β1 integrin
Authors: Shao Guangze , Xu Jitu , Hu Chencheng , Jia Wenyao , Xu Xitong , Gu Yue , Zhang Luming , Zheng Zhihuang , Zhong Jiayan , Zhu Siqi , Meng Shenghao , Zhao Zhonghua , Zhang Zhigang , Liu Jun , Xu Yanyong , Wu Huijuan 
Published: December 2024

AbstractSevere proteinuria in focal segmental glomerulosclerosis (FSGS) is closely associated with decreased adhesion, and subsequent loss, of podocytes. Yes‐associated protein (YAP) is a key transcriptional coactivator that plays a significant role in maintaining cellular homeostasis. However, its role in podocyte adhesion and its specific mechanism in FSGS progression remain unclear. In this study, an adriamycin (ADR)‐induced FSGS model was established using podocyte‐specific Yap knockout (KO) mice and control mice. These mice were further treated with Pyrintegrin, an agonist of α3β1 integrin, or a vehicle. Additionally, an ADR‐induced FSGS model was constructed using podocyte‐specific Itga3 KO mice, which were subsequently treated with 1‐oleoyl lysophosphatidic acid (LPA), a YAP activator, or a vehicle. Our findings demonstrated that YAP was positively correlated with podocyte adhesion. Podocyte‐specific Yap KO mice exhibited reduced levels of α3β1 integrin and podocyte adhesion. Yap KO aggravated the ADR‐induced reduction in α3β1 integrin and podocyte adhesion, resulting in significantly increased segmental or global glomerulosclerosis and proteinuria. Notably, treatment with a β1 integrin agonist partially ameliorated the decrease of podocyte adhesion and the worsening FSGS progression caused by Yap KO. Mechanistically, YAP was found to transcriptionally regulate α3‐ and β1 integrin via transcriptional enhanced associate domain 3 (TEAD3), with TEAD3 binding to the promoter region of Itga3. Furthermore, Itga3 KO or knockdown abolished the beneficial effects of YAP activation on podocyte adhesion and FSGS progression. In conclusion, our results demonstrate that YAP regulates podocyte adhesion and FSGS progression through its transcriptional regulation of α3β1 integrin via TEAD3. This suggests that the YAP‐TEAD3‐α3β1 integrin axis may serve as a promising therapeutic target for FSGS. © 2024 The Pathological Society of Great Britain and Ireland.
Effect of fatigue loading on physical and structural properties of epoxy in glass fiber reinforced polymer: An analysis
Authors: Moghadas S. A. , Zabett Ahad , Sahebian Samaneh , Ramezanian N. 
Published: December 2024

AbstractThis study investigated the fatigue behavior of glass fiber reinforced polymer composite and the changes in the physical properties and the structure of epoxy due to fatigue loading. Vacuum infusion process (VIP) was used to manufacture the glass fiber biaxial (0°, 90°) reinforced epoxy composite. The tensile strength of the fabricated composite was 420.1 MPa. Tensile‐tensile fatigue test was performed at 70%, 50%, 42%, and 35% of the tensile strength of fabricated composite. Damage mechanisms causing fatigue failure, namely, pull‐out, debonding, delamination, and matrix cracking were examined by scanning electron microscopy (SEM) fractography. Pull‐out of the fibers and debonding were more at the lower load level, while delamination and matrix cracking were more prevalent at the higher load level. Fourier transform infrared spectroscopy (FTIR) analysis revealed changes in the OH and CH stretching aliphatic peaks of the composite after fatigue loading. Decomposition temperature and the glass transition temperature of the epoxy in the composite also decreased due to the applied fatigue loading.Highlights
Glass fiber reinforced polimer biaxial (0°, 90°) composite was manufactured by VIP technique
Tensile‐tensile fatigue test was performed at 70%, 50%, 42% and 35% of the UTS
SEM analysis was utilized to investigate fractography of fatigue failure
Structural and physical properties in epoxy matrix was studied after fatigue
Results showed changes in physical and structural properties of epoxy matrix