bluuebunny/crossref_metadata_2025_split huggingface dataset:
Optimizing sheet metal edge quality with laser-polishing: surface characterization and performance evaluation
Authors: Li Dongsong , Linnenbrink Stefanie , Tekkaya Berk , Dölz Michael , Willenborg Edgar , Könemann Markus , Münstermann Sebastian 
Published: July 2024

AbstractDual-phase (DP) steels are widely used in the automotive industry due to their exceptional performance. It offers excellent strength, ductility, formability, and weldability. However, there is a high risk of edge cracking, particularly in materials like DP1000 steel, caused by residual damage from blanking, such as microcracks and burrs, which needs further investigation. In this study, the transformative potential of laser-polishing on DP1000 steel was investigated. The goal was to reduce edge crack sensitivity and enhance edge formability. In this work, laser-polished samples produced by various pre-manufacturing techniques such as sawing, punching, and waterjet cutting were examined. Various evaluations were performed on laser-polished samples. Those included white-light-confocal microscopy, scanning electron microscopy, and Electron Backscatter Diffraction (EBSD) analysis. Those evaluations aimed to analyze the microstructural transformation, surface roughness, and micro grain size distribution resulting from laser-polishing. Laser-polishing is a process in which the edge of the sample is remelted locally. Hence, residual damage vanishes, and surface defects disappear, which should be beneficial for edge formability. On the other hand, the cooling rate during re-solidification is high, leading to high strength and reduced ductility compared to the initial DP steel. Therefore, hole expansion tests were conducted to evaluate the edge formability of the steel. The results indicated a significant improvement in the hole expansion ratio of the laser-polished samples compared to samples with conventional manufactured edges. These findings will help to assess the advantages and limitations of laser-polishing in sheet material manufacturing.
Nature-based solutions in spatial planning and policies for climate change adaptation: A literature review
Authors: Corgo João , Cruz Sara Santos , Conceição Paulo 
Published: July 2024

AbstractNature-based solutions (NbSs) are recognised as relevant to spatial planning in addressing societal challenges, although their uptake is limited and fragmented to some case studies, and difficulties emerge from their implementation and operationalisation. The research developed a literature review to investigate how NbS has been considered for its implementation and operationalisation in spatial planning and how NbS has been included across different policy instruments and used to address climate change adaptation (CCA). The results highlighted: Firstly, the review contributed to bridge the gap in NbS implementation and operationalisation by proposing a novel three-dimensional categorisation system to guide the selection of suitable NbS principles to address societal challenges; secondly, this study still revealed gaps in some policy areas, despite the effort to extensively apply NbS across diverse policy instruments to CCA. Overall, the review further emphasises the need for future research focused on monitoring and evaluating NbS's effectiveness to CCA.
“I don't know how, if, it's ever going to end”: narratives of caring for someone with an enduring eating disorder
Authors: Burman Charlotte , Rhodes Paul , Vatter Sabina , Miskovic-Wheatley Jane 
Published: July 2024

Abstract
Background
Families and carers are pivotal in supporting loved ones experiencing eating disorders. This role can bring immense distress and burden, yet the experience of caring for someone with an enduring eating disorder has had minimal research focus. Thus, the purpose of this study is to give voice to carers empowering their stories to increase awareness and understanding, which could inform support to carers and consequently people with a lived and/or living experience of eating disorders.

Methods
Semi-structured interviews were conducted with 9 carers supporting individuals who had been experiencing an eating disorder for 7 or more years. Data were collected and analysed using narrative inquiry approach.

Results
Carers’ narratives revealed feelings of guilt and personal failure; a profound sense of disillusion with current treatment approaches; and immense grief and anguish. As they negotiated a tenuous relationship with hope and the uncertainty of their loved one’s future, carers spoke to a complex myriad of feelings of acceptance, letting go, and forging on.

Conclusion
Carers deserve to have their voices heard where they are too often silenced. Their narratives provide an urgent call for transformation in our treatments for eating disorders and further involvement of carers within the treatment journey, and their lived experience perspectives have great potential to guide this endeavour.

Level of Evidence
Level V, qualitative interviews.
Microalgae–bacteria interaction: a catalyst to improve maize (Zea mays L.) growth and soil fertility
Authors: Solomon Wogene , Mutum Lamnganbi , Janda Tibor , Molnar Zoltan 
Published: July 2024

AbstractBiofertilisers harbouring living organisms hold allure due to their prospective favourable influence on plant growth, coupled with a diminished environmental footprint and cost-effectiveness in contrast to conventional mineral fertilisers. The purpose of the present study was to evaluate the capacity of a specific microalga (MACC-612, Nostoc linckia) biomass and plant growth-promoting bacteria (PGPB) separately and together to improve crop growth and promote soil health. The research used a factorial design within a completely randomised block framework, featuring four replications for three consecutive years across different fields. The experiment utilised three levels of microalga (control, 0.3 g/L of N. linckia, MACC-612, and 1 g/L of N. linckia, MACC-612) and three levels of bacterial strains (control, Azospirillum lipoferum and Pseudomonas fluorescens). The result demonstrated that the use of N. linckia and PGPB separately or jointly as soil treatment resulted in a substantial improvement in chlorophyll, plant biomass, soil humus, and nitrogen, depending on the environmental conditions of the years. The combined use of N. linckia and PGPB results in an improvement in dry leaf weight by 35.6–107.3% at 50 days after sowing (DAS) and 29.6–49.8% at 65 DAS, compared to the control group. Furthermore, the studies show that the synergistic application of N. linckia at 0.3 g/L, in conjunction with A. lipoferum, significantly improved total nitrogen and (NO3− + NO2−)-nitrogen, registering increases of 20.7–40% and 27.1–59.2%, respectively, during the study period. The most effective synergistic combination was identified through the application of 0.3 g/L of N. linckia along with A. lipoferum. Hence, application of biofertilisers through synergistic combinations of two or more microorganisms, such as microalgae and bacteria, holds promise in improving crop chlorophyll, growth, and soil nitrogen.
A stacking machine learning model for predicting pullout capacity of small ground anchors
Authors: Li Lin , Zuo Linlong , Wei Guangfeng , Jiang Shouming , Yu Jian 
Published: July 2024

AbstractSmall ground anchors are widely used to fix securing tents in disaster relief efforts. Given the urgent nature of rescue operations, it is crucial to obtain prompt and accurate estimations of their pullout capacity. In this study, a stacking machine learning (ML) model is developed for the rapid estimation of pullout capacity offered by small ground anchors used for temporary tents, leveraging cone penetration data. The proposed stacking model incorporates three ML algorithms as the base regression models: K-nearest neighbors (KNN), support vector regression (SVR), and extreme gradient boosting (XGBoost). A dataset comprising 119 in-situ anchor pullout tests, where the cone penetration data were measured, is utilized to train and assess the stacking model performance. Three metrics, i.e., coefficient of determination (R2), mean absolute error (MAE), and root mean square error (RMSE), are employed to evaluate the predictive accuracy of the proposed model and compare its performance against four popular ML models and an empirical formula to highlight the advantages of the proposed stacking approach. The results affirm that the proposed stacking model outperforms other ML models and the empirical approach as achieving higher R2 and lower MAE and RMSE and more predicted data points falling within 20% error line. Thus, the proposed stacking model holds promising potential as a solution for efficiently predicting the pullout capacity of small ground anchors.
Securing tomorrow: a comprehensive survey on the synergy of Artificial Intelligence and information security
Authors: Hashmi Ehtesham , Yamin Muhammad Mudassar , Yayilgan Sule Yildirim 
Published: July 2024

AbstractThis survey paper explores the transformative role of Artificial Intelligence (AI) in information security. Traditional methods, especially rule-based approaches, faced significant challenges in protecting sensitive data from ever-changing cyber threats, particularly with the rapid increase in data volume. This study thoroughly evaluates AI’s application in information security, discussing its strengths and weaknesses. It provides a detailed review of AI’s impact on information security, examining various AI algorithms used in this field, such as supervised, unsupervised, and reinforcement learning, and highlighting their respective strengths and limitations. The study identifies key areas for future AI research in information security, focusing on improving algorithms, strengthening information security, addressing ethical issues, and exploring safety and security-related concerns. It emphasizes significant security risks, including vulnerability to adversarial attacks, and aims to enhance the robustness and reliability of AI systems in protecting sensitive information by proposing solutions for potential threats. The findings aim to benefit cybersecurity professionals and researchers by offering insights into the intricate relationship between AI, information security, and emerging technologies.
Preparation and characterization of ox bone powder and bamboo fibers reinforced hybrid epoxy composites
Authors: Molla Yonas , Belay Mezigebu 
Published: July 2024

AbstractComposite materials are one of the fastest growing when compared with metal, ceramic, and polymer due to their high specific strength, stiffness, and versatile application in various fields. This study aimed to develop an ox bone powder and bamboo fiber-reinforced hybrid epoxy composite for stock and bumper applications and investigate the effect of the reinforcements on the composite’s mechanical properties. The reinforcements used in this work were random orientations of animal bone (ox) powder of 75 microns and bamboo fiber. The matrix used for this work was epoxy resin. Composite materials were prepared using the hand layup method with a 40% weight fraction of reinforcement (bone powder and bamboo fiber) and a 60% weight fraction of epoxy resin matrix. Five different combinations of bone powder and bamboo fiber with a fixed amount of epoxy resin were used for this work. The combinations of bamboo fiber and bone powder were: 40% bamboo fiber with 0% bone powder; 30% bamboo fiber with 10% bone powder; 20% bamboo fiber with 20% bone powder; and 0% bamboo fiber with 40% bone powder. The mechanical properties studied were compressive strength, impact strength, and flexural strength. In addition, water absorption was studied for all combinations. The maximum results of the flexural and impact strengths were 278.91 MPa and 7.5 J/m, respectively, at a 0:40 (bone powder: bamboo fiber) composite. The maximum compressive strength and the lowest absorption obtained were 283.3 MPa and 1.05%, respectively, at the 40:0 (bone powder: bamboo fiber) composite. For the hybrid composite case, optimal flexural and impact strengths were 236.72 MPa and 6.66 J/m, respectively, and water absorption was 1.52% at 10:30 (bone powder: bamboo fiber). Since reasonable flexural strength, impact strength, and water absorption were obtained with the hybrid composite of 10:30 (bone powder: bamboo fiber), this combination of the hybrid composite is recommended for stock and bumper applications.
Giant dielectric ceramic of Li0.3Ti0.02Ni0.68O with abundant oxygen vacancies enabling high lithium-ion conductivity in composite solid-state electrolyte
Authors: An Xufei , Yuan Yu , Yang Ke , Zhang Danfeng , Cao Yidan , Liu Ming , Kang Feiyu , He Yan-Bing 
Published: July 2024

AbstractThe low ionic conductivity of composite solid-state electrolytes due to the lack of free Li-ions and Li dendrite growth induced by the low transference number seriously hinder their application. Herein, we find that the giant dielectric ceramic of Li0.3Ti0.02Ni0.68O (LTNO) with ultra-high dielectric constant can greatly promote the dissociation of Li salt to generate abundant movable Li-ions and realize a high room-temperature ionic conductivity (4.09 × 10–4 S cm−1) as well as a low activation energy (0.16 eV). The oxygen vacancies on the surface of LTNO can effectively immobilize the anions to achieve a high Li transference number (0.61). Furthermore, the enhanced dielectric properties of the composite electrolyte induce homogenous Li plating/stripping to suppress the growth of Li dendrites. As a result, the Li||Li symmetric cells exhibit long lifespan of 2400 h and 1150 h at 0.1 mA cm−2 and 0.2 mA cm−2, respectively. The Li||LiNi0.8Co0.1Mn0.1O2 solid-state full cells show a high capacity retention of 83% after 430 cycles at 2C. This work highlights the critical role of high dielectric property and oxygen defects of fillers in composite solid-state electrolytes, and provides a demonstration for the application of giant dielectric materials in solid-state Li metal batteries.
In-situ analysis of sub-nanomolar level of Fe(II) in open-ocean waters
Authors: Obata Hajime , Mase Akira , Gamo Toshitaka , Nishioka Jun , Okamura Kei 
Published: July 2024

AbstractIron (Fe) in seawater is an essential micronutrient for marine phytoplankton, and Fe deficiency limits their growth in high-nutrient, low-chlorophyll areas. The bioavailability of Fe for phytoplankton largely depends on its chemical speciation in seawater. In surface water, the reduction of Fe(III) to Fe(II) is an important step in the uptake of Fe by phytoplankton. However, the marine biogeochemical cycle of Fe(II) in the open ocean has not been fully investigated. In oxic open-ocean waters, Fe(II) is rapidly oxidized and exists at sub-nanomolar levels, making it difficult to determine the Fe(II) concentration of seawater. In this study, we applied the flow analytical method of determining the Fe(II) concentration of seawater using luminol chemiluminescence in an in-situ analyzer (geochemical anomaly monitoring system, GAMOS). In the onboard laboratory, we successfully detected sub-nanomolar levels of Fe(II) in seawater using the GAMOS. In the central Indian Ocean, this analyzer was deployed at a depth of 1000 m to determine the Fe(II) concentration in the water column. During deployment, the detection limit (0.48 nM) was insufficient to determine the concentration. Therefore, we need to lower the blank values and enhance the stability of signal of the in-situ analytical method for application to open-ocean seawater samples.
Graphical abstract
Top-ranked U.S. and U.K.’s universities’ first responses to GenAI: key themes, emotions, and pedagogical implications for teaching and learning
Authors: Singh Rita Gill , Ngai Cindy Sing Bik 
Published: July 2024

AbstractThe emergence of ChatGPT, a Generative AI program, has sparked discussions about its teaching and learning value, and concerns about academic integrity in higher education (HE). An extant review of the literature indicates that a scarcity of research exists on GenAI, specifically a synthesis of the official views, guidelines and articles of top-ranked universities on the use, limitations, challenges, and opportunities brought by ChatGPT in the early phase when ChatGPT was released in 2022 until early May 2023, which can offer insights into the concerns and recommendations for educators. Using the corpus assisted discourse analysis approach, this study identified the key themes and emotions elicited by evaluations of the ChatGPT situation from a self-built corpus containing 151 articles from 47 top-ranked U.S. universities and 34 U.K. ones. Our findings indicated three prominent themes discussed on official websites, including ChatGPT as a text and content generator, use of ChatGPT in teaching and learning, and potential implications and opportunities of using ChatGPT in HE. Further examination revealed that bias, concern, worry, threat, fear, and trust were the prevailing emotions relating to ChatGPT. Illustrated with examples collected from our corpus, this paper offers an in-depth discussion of universities’ first responses to the use of ChatGPT. The insights gained have some pedagogical implications for academics, researchers and educators and may inform policy and practice in HE on the use of GenAI.
C. auris and neighborhood socioeconomic vulnerability in the state of Maryland from 2019 to 2022
Authors: Smith L. Leigh , Falvey Jason , Grace Brittany , Vaeth Elisabeth , Rubin Jamie , Perlmutter Rebecca , Blythe David , Hawkins Daryl , Mbuthia Martha , Roghmann Mary-Claire , Rock Clare , Leekha Surbhi 
Published: July 2024

AbstractBackground:Candida auris is an emerging fungal pathogen increasingly recognized as a cause of healthcare-associated infections including outbreaks.Methods:We performed a mixed-methods study to characterize the emergence of C. auris in the state of Maryland from 2019 to 2022, with a focus on socioeconomic vulnerability and infection prevention opportunities. We describe all case-patients of C. auris among Maryland residents from June 2019 to December 2021 detected by Maryland Department of Health. We compared neighborhood socioeconomic characteristics of skilled nursing facilities (SNFs) with and without C. auris transmission outbreaks using both the social vulnerability index (SVI) and the area deprivation index (ADI). The SVI and the ADI were obtained at the state level, with an SVI ≥ 75th percentile or an ADI ≥ 80th percentile considered severely disadvantaged. We summarized infection control assessments at SNFs with outbreaks using a qualitative analysis.Results:A total of 140 individuals tested positive for C. auris in the study period in Maryland; 46 (33%) had a positive clinical culture. Sixty (43%) were associated with a SNF, 37 (26%) were ventilated, and 87 (62%) had a documented wound. Separate facility-level neighborhood analysis showed SNFs with likely C. auris transmission were disproportionately located in neighborhoods in the top quartile of deprivation by the SVI, characterized by low socioeconomic status and high proportion of racial/ethnic minorities. Multiple infection control deficiencies were noted at these SNFs.Conclusion:Neighborhood socioeconomic vulnerability may contribute to the emergence and transmission of C. auris in a community.
Molecular genetic biodiversity assessment of the Wallis Island sponge fauna in the Tropical Pacific
Authors: Galitz Adrian , Ekins Merrick , Reddy Maggie M. , Folcher Eric , Dumas Mahé , Butscher John , Thomas Olivier P. , Voigt Oliver , Wörheide Gert , Petek Sylvain , Erpenbeck Dirk 
Published: July 2024

Abstract
Polynesia is a hotspot for marine biodiversity in the South Pacific Ocean, yet the distribution of many invertebrate taxa in this region is still often poorly assessed. Information on the diversity and phylogeography of sponges in particular remains limited in spite of their importance for coral reef ecosystems. Recent expeditions to the island group of Wallis and Futuna enabled the first larger-scale assessment of the Wallis Island sponge fauna, resulting in the molecular identification of 82 unique Molecular Operational Taxonomic Units (MOTUs) from 339 sponge samples based on 28S C-region rDNA and CO1 mtDNA data. Faunal comparisons with both adjacent archipelagos and more distant Indo-Pacific regions were predominantly based on the MOTUs obtained from Wallis Island ecoregions, and suggest high levels of endemism of sponges in Wallis and Futuna, corroborating previous data on the biodiversity of sponges and other marine phyla in the South Pacific. The results of this molecular taxonomic survey of the Wallis and Futuna sponge fauna aim to lay solid foundations for a sustainable ‘Blue Economy’ in Wallis and Futuna for the conservation of their local coral reefs.
Closing the Loops on Southern Ocean Dynamics: From the Circumpolar Current to Ice Shelves and From Bottom Mixing to Surface Waves
Authors: Bennetts Luke G. , Shakespeare Callum J. , Vreugdenhil Catherine A. , Foppert Annie , Gayen Bishakhdatta , Meyer Amelie , Morrison Adele K. , Padman Laurie , Phillips Helen E. , Stevens Craig L. , Toffoli Alessandro , Constantinou Navid C. , Cusack Jesse M. , Cyriac Ajitha , Doddridge Edward W. , England Matthew H. , Evans D. Gwyn , Heil Petra , Hogg Andrew McC. , Holmes Ryan M. , Huneke Wilma G. C. , Jones Nicole L. , Keating Shane R. , Kiss Andrew E. , Kraitzman Noa , Malyarenko Alena , McConnochie Craig D. , Meucci Alberto , Montiel Fabien , Neme Julia , Nikurashin Maxim , Patel Ramkrushnbhai S. , Peng Jen‐Ping , Rayson Matthew , Rosevear Madelaine G. , Sohail Taimoor , Spence Paul , Stanley Geoffrey J. 
Published: July 2024

AbstractA holistic review is given of the Southern Ocean dynamic system, in the context of the crucial role it plays in the global climate and the profound changes it is experiencing. The review focuses on connections between different components of the Southern Ocean dynamic system, drawing together contemporary perspectives from different research communities, with the objective of closing loops in our understanding of the complex network of feedbacks in the overall system. The review is targeted at researchers in Southern Ocean physical science with the ambition of broadening their knowledge beyond their specific field, and aims at facilitating better‐informed interdisciplinary collaborations. For the purposes of this review, the Southern Ocean dynamic system is divided into four main components: large‐scale circulation; cryosphere; turbulence; and gravity waves. Overviews are given of the key dynamical phenomena for each component, before describing the linkages between the components. The reviews are complemented by an overview of observed Southern Ocean trends and future climate projections. Priority research areas are identified to close remaining loops in our understanding of the Southern Ocean system.