bluuebunny/crossref_metadata_2025_split huggingface dataset:
Explain the professional identity of nursing during COVID‐19 pandemic
Authors: Hoseini Azizi Tooba , Varasteh Saideh , Esmaeili Maryam 
Published: August 2024

AbstractAimTo explore the professional identity of nursing during the COVID‐19 pandemic in Iran. Professional identity guides nurses' interaction with patients. In the COVID‐19 pandemic, recent developments in society's view of the nursing profession are expected to change the perception of nurses' professional identities.DesignThe qualitative study used a conventional content analysis approach.MethodsData were collected using in‐depth semi‐structured interviews from June 2020 to January 2021. Data analysis was performed using Landman and Granheim's analysis and Lincoln and Guba's criteria to ensure the data's rigour.ResultsAfter analysing the 20 interviews with 17 participants, including 11 nurses with an average age of 32.63 ± 6.71 years and six varius community members with an average age of 38.66 ± 5.85 years, three main categories were formed: (1) The dual role of the media in the two subcategories (the positive role and the negative role of the media), (2) Changes in public view of nursing during the COVID‐19 pandemic (respect for avoidance and understanding the value of nursing practice) and (3) Change of professional identity by showing self‐sacrifice (dealing with adversity and commitment to professional obligations).ConclusionThe image in the public view of the nursing profession during the COVID‐19 pandemic media differs from before and shows self‐sacrifice, professional commitment and humanity in nursing. Nurses' experience of caring during the COVID‐19 pandemic has positively affected their professional identity; however, they are concerned about the instability of improving the nursing image in society.ImpactNursing leaders and policymakers can utilize media platforms to portray the nursing profession in a positive light and emphasize the scientific capabilities of nurses. This approach goes beyond highlighting sacrifice and compassion, aiming to shift societal perceptions of nursing and bolster the professional identity of nurses.Reporting MethodWe used the COREQ (COnsolidated criteria for REporting Qualitative research) checklist as a reporting method.Patient or Public ContributionNo patient or public contribution.
The effects of profession‐related films on the professional pride of nursing students: A randomised controlled trial
Authors: Ozdemir Cevriye , Kabuk Ayşe 
Published: August 2024

AbstractAimThis study aimed to determine the effects of profession‐related films on the professional pride of nursing students.DesignsThe study was conducted with a randomised controlled experimental design.MethodsThe sample of the study consisted of 102 students enrolled in the first year of the School of Nursing, Zonguldak Bulent Ecevit University in Türkiye in the 2022–2023 academic year. These students were randomly assigned to the experimental (n = 57) and control (n = 45) groups. The experimental group watched two documentaries and a film on YouTube with a one‐week break. Self‐administered online questionnaires were distributed via WhatsApp groups for pretests and posttests. Data were collected with a “Sociodemographic Data Form” and the “Nursing Professional Pride Scale (NPPS)” included in the questionnaire forms prepared on the Google Forms platform. Data were analysed using Spearman's rho, the Mann–Whitney U Test, and the Wilcoxon Signed‐Rank Test.ResultsThe mean age of the participants was 18.80 ± 0.99 years, 80% of the participants were female, the place where 79.4% had lived for the longest duration in their lives was the city, 85.3% had information about the profession of nursing before they started university (36.8% from the internet, 34.6% from people around them). The experimental group had significantly higher NPPS scores than the control group after the intervention (p = 0.017). There was also a significant increase in the dimensions of professional feeling (p = 0.012) and desire to continue the profession in the experimental group (p = 0.002).Patient or Public ContributionPatients and public were not involved in this research.
Prevalence of polypharmacy and factors impacting psychotropic prescribing patterns in women of childbearing potential at inpatient mental health services in Qatar
Authors: Elbakary Nervana , Abdallah Oraib , Ouanes Sami , Hasanoglu Ahmad , Abedlfattah‐Arafa Eiman , Al‐Shaikhly Maha , Alqam Shatha , Alshakhs Sulaiman , Hijawi Zainab , Al‐Abdulla Majid , Al‐Khuzaei Noriya , Hamad Sazgar 
Published: August 2024

AbstractAimsWomen may experience unique mental disorders due to hormone shifts. Rates of schizophrenia and bipolar disorder are similar between genders, but onset and symptoms may differ. Women tend to use more psychotropic drugs due to limited therapeutic options. This study was aimed to estimate the prevalence of psychotropic polypharmacy among females of childbearing potential and factors impacting prescribing patterns.MethodsThis was a quantitative retrospective chart review for patients admitted to inpatient units at the Mental Health Hospital in Qatar. SPSS® Statistics was used for data analysis. In addition to descriptive statistics applied, linear regression and binary logistic regression models were used to examine the clinical and sociodemographic factors associated with polypharmacy and full therapeutic response upon discharge, respectively. An alpha value of 0.05 was used.ResultsOf the 347 patients, 52.7% of the patients received a prescription of at least two psychotropic drugs upon discharge. Around two‐thirds (63.1%) were prescribed at least one antipsychotic. Potential predictors of polypharmacy were age (p = 0.027), longer hospital stay (p = 0.003), family history (p < 0.001), absence of suicidal history (p = 0.005), and a diagnosis of a mood disorder (p = 0.009), or a diagnosis of a psychotic disorder (p = 0.015). A full response upon discharge was less likely to occur in patients with a longer stay (OR = 0.940; p = 0.029) and in those with a substance use disorder (OR = 0.166; p = 0.035).ConclusionThere is a notably high prevalence of total polypharmacy upon discharge. Some identified factors are modifiable. Evidence‐based prescription practices through hospital guidelines and education should be emphasized to avoid unreasonable polypharmacy.
Rare earth doped strontium aluminate/poly(methyl methacrylate) composites for lighting with long persistent luminescence and high tensile performance
Authors: Ding Yinghui , Wu Qiang , Wang Zhijian , Zhang Boming , Yang Jiping 
Published: August 2024

AbstractSrAl2O4 co‐doped with Eu2+ and Dy3+ ions (SAOED) have great potential in lighting field due to the unique light energy absorption‐storage‐released properties. In this work, a series of SAOED/poly(methyl methacrylate) (PMMA) luminescent composites were prepared and investigated. The maximum afterglow intensity of SAOED/PMMA composites was reached when the SAOED particle size was 26 μm, the mass ratio of SAOED to PMMA was 0.6 and the thickness of composites was 4.3 mm. Meanwhile, the tensile strength and modulus of the SAOED/PMMA composites were 22.06 MPa and 3.92 GPa, respectively. After being reexcited by a 3.5 W white diode used as normal functional lighting, SAOED/PMMA composites were able to achieve the requirement on landscape lighting (>2 lx), which showed promising engineering prospects in alternative lighting.Highlights
The particle size, mass ratio and thickness effected the afterglow intensity.
The optimal composites presented promising long persistent luminescence.
Resulting SrAl2O4 co‐doped with Eu2+ and Dy3+ ions (SAOED)/poly(methyl methacrylate) (PMMA) composites possessed high tensile performance.
The SAOED/PMMA composites showed great potential in alternative lighting.
Machine learning to optimize nonlinear conductive performance of composites for self‐adaptive electromagnetic shielding
Authors: Li Hongfei , Chen Yazhou , Zhou Linsen , Wang Yan , Cao Wei , Qu Zhaoming 
Published: August 2024

AbstractPolymer‐based composites that exhibit a unique nonlinear response to high‐power electric fields have the potential to serve as intelligent electromagnetic shielding materials. The optimization of switching fields (Eb) and nonlinear coefficient (α) of polymer‐based composites is of great interests for nonlinear conductive performance. Based on literature data, the prediction models for Eb and α are first successfully established using machine learning (ML) methods. A stacking ensemble learning (SEL) strategy was used to combine five base machine learning models, showing superior predictive performance. The research focuses on the effect of key process parameters on nonlinear conducting composites. The feature importance analysis shows that the nonlinear properties of the composites are considerably impacted by the mass fraction, filler size, and sample thickness. The parameter optimization method to improve the performance of the composites was explored by using partial dependence plots analysis. By measuring the nonlinear response of CNT/ZnO composites under high electric fields, the effectiveness of the optimization strategy is experimentally verified. This work establishes the intrinsic relationship between composition and performance, which is helpful in designing intelligent self‐adaptive electromagnetic shielding for switchable electronic devices.Highlights
Prediction models for Eb and α using machine learning.
Stacking ensemble learning for superior predictive performance
Focuses on the effect of key process parameters on performance.
Optimization strategy validated through experimental testing.
Enhancing tribological performance of high‐density polyethylene polymer with diamond‐like carbon coating and mollusk shells filler
Authors: Sidia Besma , Bensalah Walid 
Published: August 2024

AbstractThis study explores the tribological properties of mollusk‐shell‐high‐density polyethylene (MS‐HDPE) biocomposites and diamond‐like carbon (DLC)‐coated metal beads as potential substitutes for hip joint prostheses. HDPE biocomposites with 0, 5, and 10 wt% of MS were developed using hot compression molding. Coatings included pure DLC, DLC‐Si, and DLC W:H. Wear tests on a ball‐on‐disk tribometer examined friction and wear rates against coated and uncoated balls, along with wear morphology. MS‐HDPE demonstrated superior tribological performance against DLC, achieving a 67% reduction in specific wear rate compared to pure HDPE. The study suggests that 5 wt% MS‐HDPE coupled with a DLC‐coated counterpart coating could be a promising combination for orthopedic applications, presenting a potential solution to metal corrosion and wear debris issues in orthopedic implants.Highlights
Tested coatings: DLC, DLC‐Si, and DLC W:H.
Biocomposite wear versus coated balls.
DLC coating improves wear with shell fillers.
Mollusk shell strengthens biocomposites.
Reduced wear rate by 63% and friction by 77%.
A high‐resolution model of the grapevine leaf morphospace predicts synthetic leaves
Authors: Chitwood Daniel H. , Torres‐Lomas Efrain , Hadi Ebi S. , Peterson Wolfgang L. G. , Fischer Mirjam F. , Rogers Sydney E. , He Chuan , Acierno Michael G. F. , Azumaya Shintaro , Benjamin Seth Wayne , Chalise Devendra Prasad , Chess Ellice E. , Engelsma Alex J. , Fu Qiuyi , Jaikham Jirapa , Knight Bridget M. , Kodjak Nikita S. , Lengyel Adazsofia , Muñoz Brenda L. , Patterson Justin T. , Rincon Sundara I. , Schumann Francis L. , Shi Yujie , Smith Charlie C. , St. Clair Mallory K. , Sweeney Carly S. , Whitaker Patrick , Wu James , Diaz‐Garcia Luis 
Published: August 2024

Societal Impact StatementGrapevine leaves are emblematic of the strong visual associations people make with plants. Leaf shape is immediately recognizable at a glance, and therefore, this is used to distinguish grape varieties. In an era of computationally enabled machine learning‐derived representations of reality, we can revisit how we view and use the shapes and forms that plants display to understand our relationship with them. Using computational approaches combined with time‐honored methods, we can predict theoretical leaves that are possible, enabling us to understand the genetics, development, and environmental responses of plants in new ways.Summary

Grapevine leaves are a model morphometric system. Sampling over 10,000 leaves using dozens of landmarks, the genetic, developmental, and environmental basis of leaf shape has been studied and a morphospace for the genus Vitis predicted. Yet, these representations of leaf shape fail to capture the exquisite features of leaves at high resolution.
We measure the shapes of 139 grapevine leaves using 1672 pseudo‐landmarks derived from 90 homologous landmarks with Procrustean approaches. From hand traces of the vasculature and blade, we have derived a method to automatically detect landmarks and place pseudo‐landmarks that results in a high‐resolution representation of grapevine leaf shape. Using polynomial models, we create continuous representations of leaf development in 10 Vitis spp.
We visualize a high‐resolution morphospace in which genetic and developmental sources of leaf shape variance are orthogonal to each other. Using classifiers, Vitis vinifera, Vitis spp., rootstock and dissected leaf varieties as well as developmental stages are accurately predicted. Theoretical eigenleaf representations sampled from across the morphospace that we call synthetic leaves can be classified using models.
By predicting a high‐resolution morphospace and delimiting the boundaries of leaf shapes that can plausibly be produced within the genus Vitis, we can sample synthetic leaves with realistic qualities. From an ampelographic perspective, larger numbers of leaves sampled at lower resolution can be projected onto this high‐resolution space, or, synthetic leaves can be used to increase the robustness and accuracy of machine learning classifiers.
Bounded real lemma and H∞ control for BAM neural networks with unbounded time‐varying delays
Authors: Ren Zhuo , Xue Yu , Yu Tingting 
Published: August 2024

AbstractThis article investigates the exponential control issue of bidirectional associative memory neural network (BAMNN) with unbounded time‐varying delays. A bounded real lemma (BRL) is first established via a direct method, which is on the basis of the solutions of BAMNN. Second, based on the obtained BRL, the state feedback controller is designed to guarantee the global exponential stability of the resulting closed‐loop BAMNN with an performance index. Since no Lyapunov–Krasovskii functionals is constructed in the proposed method, the computation burden and complexity are reduced. Lastly, the effectiveness of the theoretical results is illustrated through two numerical examples.
Assessing the practical applicability of neural‐based point clouds registration algorithms: A comparative analysis
Authors: Fontana Simone , Di Lauro Federica , Sorrenti Domenico G. 
Published: August 2024

AbstractPoint cloud registration is a vital task in three‐dimensional (3D) perception, with several different applications in robotics. Recent advancements have introduced neural‐based techniques that promise enhanced accuracy and robustness. In this paper, we thoroughly evaluate well‐known neural‐based point cloud registration methods using the Point Clouds Registration Benchmark, which was developed to cover a large variety of use cases. Our evaluation focuses on the performance of these techniques when applied to real‐complex data, which presents a more challenging and realistic scenario than the simpler experiments typically conducted by the original authors. The results reveal considerable variability in performance across different techniques, highlighting the importance of assessing algorithms in realistic settings. Notably, 3DSmoothNet emerges as a standout solution, demonstrating good and consistent results across various data sets. Its efficacy, coupled with a relatively low graphics processing unit (GPU) memory footprint, makes it a promising choice for robotics applications, even if it is not yet suitable for real‐time applications due to its execution time. Fully Convolutional Geometric Features also performs well, albeit with greater variability among data sets. PREDATOR and GeoTransformer are promising, but demand substantial GPU memory, when handling large point clouds from the Point Clouds Registration Benchmark. A notable finding concerns the performance of Fast Point Feature Histograms, which exhibit results comparable to the best approaches while demanding minimal computational resources. Overall, this comparative analysis provides valuable insights into the strengths and limitations of neural‐based registration techniques, both in terms of the quality of the results and the computational resources required. This helps researchers to make informed decisions for robotics applications.
Recent Advances in Main Group Coordination Driven Porphyrins: A Comprehensive Review
Authors: Dar Umar Ali , Shahnawaz Mohd , Taneja Parul , Dar Mohd Arif 
Published: August 2024

AbstractThe novel and exciting class of porphyrin‐based compounds are the main group coordination‐driven porphyrins (MGCPs) with a central main group element into the porphyrin macrocycle. MGCPs have unique properties, reactivity, and potential applications in catalysis, sensing, biomedicine etc. This comprehensive review article discusses recent advances in the field of main group coordination driven porphyrins and explores some of its potential uses in solar cells, catalysis, antimicrobial, optoelectronic devices, sensing, and catalysis. The addition of main group elements to porphyrin systems has resulted in the production of entirely novel compounds that have intriguing qualities including increased stability and catalytic activity. Significant modifications in these unique compounds features are apparent through the analysis of their structural properties. It encompasses FTIR, proton NMR, electrical and optical characterisation in addition to an electrochemical analysis of those parameters. They serve as significant building blocks for the creation of cutting‐edge materials and technologies in a variety of scientific and technical disciplines because to their special qualities and adaptability. Researchers working in the domains of coordination chemistry, catalysis, and materials science will find this study to be of interest since it offers a thorough examination of current developments in main group coordination driven porphyrins and their prospective applications. Overall, main group porphyrins are used in many different fields, such as sensing, catalysis, and optoelectronic devices.
Molybdenum Disulfide Nanoparticle Enhancing Photosynthesis in Solanum Lycopersicum
Authors: Mony Chanchal , Callahan Damien L. , Rookes James E. , Eswaran S. V. , Wang Mengchi , Yang Wenrong , Kumar Manna Palash 
Published: August 2024

AbstractPhotosynthesis is a dynamic, complex, photo‐catalytic process that plays a key role in the growth and development of plants. It converts solar energy to chemical energy by precise organisation of light harvesting molecules in the photosynthetic system. Artificially imitating such systems is difficult due to the complexity of different cascades associated with photosynthesis. Nanoparticle mediated photocatalytic complexes have been shown to improve photosynthesis efficiency. Nanomaterials, such as molybdenum disulfide (MoS2) efficiently capture sunlight and assist in photosynthesis enhancement and nanosheets offer an additional advantage of increased surface area for sunlight harnessing. Foliar nutrition supplementation provides high yield potential to crops and their application in small doses improves the photosynthesis and elevates the plant performance. This study aims at mapping the efficiency of facile one‐pot hydrothermally synthesized MoS2 nanosheets in enhancing the photosynthetic ability of tomato plants. The treatments included the supplementation and absence of molybdenum source to plants. Physiological features (root length, shoot length, biomass), biochemical parameters (antioxidant activity), photosynthesis parameters (carbon assimilation, stomatal conductance, transpiration rate, water use efficiency, chlorophyll and carotenoid content), uptake and translocation of MoS2 nanosheets were evaluated. Increases of 22.07 %, 49.95 % and 18.56 % in net photosynthetic rate, water use efficiency and chlorophyll content respectively, were observed in MoS2_Nano treated plants compared with untreated plants. These nanosheets improved plant photosynthesis parameters and enhanced photosystem efficiency without inducing phytotoxicity. This study demonstrates the promise of such approaches towards enhanced plant photosystem efficiency, leading to improved agricultural productivity, particularly in the regions with less sunlight.
Wells‐Dawson Polyoxometalate Modified Lignin Derived High Surface Area Activated Carbon Electrode Materials for Energy Storage Application
Authors: Madhusree J. E , Athulya K. , Chandewar Pranay R. , Shee Debaprasad , Mal Sib Sankar 
Published: August 2024

AbstractSupercapacitors have emerged as a potential technology in the search for energy storage solutions, delivering astounding performance, environmental sustainability, safety, and economic feasibility. Biomass‐derived activated carbon electrodes have received much interest in this area because of their inherent mechanical stability and eco‐friendliness. While Wells‐Dawson POMs exhibit excellent redox properties for electrochemical performance, however, their solubility nature leads to poor conductivity. Biomass‐derived activated carbon was employed as a solid support material to address this issue, which offers high surface area and cost‐effectiveness. This work explores the synthesis of new nanofabricated electrodes by adding vanadium‐substituted Wells‐Dawson polyoxometalates (P2VW17) to activated carbon derived from lignin (LDAC). In depth, we investigated these novel nanohybrid material's structural properties and electrochemical performance. Furthermore, electrochemical testing was performed for 20 wt % LDAC‐P2VW17 in a 0.25 M H2SO4 electrolyte. The 20 wt % LDAC‐P2VW17 supercapacitor cell has an excellent specific capacitance of 216.48 F g−1, with great energy and power densities of 30.06 Wh kg−1 and 1999.98 W kg−1. Additionally, it has an excellent capacitance retention of 94.4 % over 4000 cycles with 82.6 % columbic efficiency. A test for practical application has been conducted on 20 wt % LDAC‐P2VW17. The first series of LEDs were connected to the workstation and took hold of 30 seconds to discharge. A piezoelectric buzzer was subjected to a trial as part of our testing procedure. Upon integration with our system, the buzzer produced an audible tone that persisted for 140 seconds.