bluuebunny/crossref_metadata_2025_split huggingface dataset:
Unfolding the role of metaverse in agri‐food supply chain security: current scenario and future perspectives
Authors: El Jaouhari Asmae , Arif Jabir , Jawab Fouad , Samadhiya Ashutosh , Kumar Anil 
Published: February 2024

SummarySince its inception, the metaverse has evolved drastically and opened up many opportunities for many stakeholders, including individuals and businesses. The agri‐food supply chain is currently starting to incorporate metaverse technology. Retailers and prominent companies use this technology to achieve particular goals, such as ensuring traceability or boosting sales and reputation. Concurrently, there is an opportunity for the metaverse to affect food chain performance more broadly. Even so, the literature provides little evidence for this effect and primarily focuses on specific indicators, leaving little knowledge about it. By exploring the rapidly evolving field of metaverse technologies and their potential impacts on the security of agri‐food supply chains, this study aims to fill this knowledge gap. The study aims to improve collaboration and communication throughout the agri‐food supply chain by providing a structured framework covering a variety of metaverse technologies, from the development of immersive virtual worlds to the deployment of blockchain for traceability. The findings offer valuable insights, particularly for researchers, decision makers, and industry partners who aim to better comprehend the potential benefits and challenges related to integrating metaverse solutions into the agri‐food industry. The study concludes with recommendations for future research directions and strategic factors that could assist in ensuring the effective adoption of metaverse technologies and the security and resilience of agri‐food supply chains.
Cognitive reserve proxies for individuals with intellectual developmental disability: A scoping review
Authors: Pucci Veronica , La Face Annalisa , Gasteiger‐Klicpera Barbara , Mondini Sara 
Published: February 2024

AbstractBackgroundCognitive reserve (CR) has not been studied in people with Intellectual Developmental Disability, a population with a high incidence of dementia. Commonly adopted CR proxies should be adapted to reflect more specifically the experiences of people with Intellectual Developmental Disability.MethodThis scoping review intended to identify CR proxies relevant to people with this condition.ResultsSome of these were the same already detected in a population without intellectual disabilities (education, occupation, physical activity, leisure, community and social activities); others were found to be specifically relevant for this population: type of schooling, parental educational level, environmental stimulation and living place.ConclusionsThese proxies need to be considered in studies on CR and Intellectual Developmental Disability and in clinical practice. Research on the protective effect of CR aims to encourage policies promoting lifestyle‐based educational and preventive interventions and overcome participation barriers for people with Intellectual Developmental Disability.
Evaluating the muscle attachment hypothesis for sagittal cresting in Gorilla and Pongo
Authors: Barel Hooge Hannah L. , Massey Jason S. , Balolia Katharine L. 
Published: February 2024

AbstractPrimate mandibular morphology is often associated with jaw functionality of the masticatory complex in the context of variation in diets. Recent research into the disparities between the diet and jaw functionality in male and female hominoids is inconclusive and suggests that sexual dimorphism in the mandible may be influenced by external factors such as temporalis and masseter muscle morphology, which in turn may be influenced by sexual selection. As the muscles associated with mastication (i.e., the type of chewing exhibited by primates and other mammals) encompass the mandible as well as the neurocranium, including the sagittal crest among some individuals, this study investigates sex‐specific associations between regions of the mandibular ramus and neurocranium associated with mastication in a dentally mature sample of Gorilla and Pongo. A total of four cranial and mandibular variables were measured in two Gorilla taxa (Gorilla gorilla gorilla and Gorilla beringei graueri) and one Pongo taxon (Pongo pygmaeus pygmaeus) (n = 220). For all three taxa, we investigate (a) whether the degree of sexual dimorphism in cranial regions associated with sagittal cresting (sagittal crest size (SCS) and temporalis muscle attachment area (TMAA)) is proportional to the degree of mandibular ramus area (MRA) and coronoid process height (CPH) sexual dimorphism, (b) whether there are sex differences in scaling relationships between TMAA and MRA, and (c) whether there are sex differences in the strength of association between TMAA and CPH. We show that for G. g. gorilla, variables associated with sagittal cresting show higher sexual dimorphism values than our two mandibular ramus variables, which is not the case for G. b. graueri or for P. p. pygmaeus. All three taxa show similar sex‐specific scaling relationships between TMAA and MRA, where for males this relationship does not diverge from isometry, and for females there is a negative allometric relationship. Our findings also show intraspecific sex differences in allometric slopes between MRA and TMAA for all three taxa. Only G. g. gorilla shows a significant association between TMAA and CPH, which is observed in both sexes. Although there are some statistical associations between the cranial and mandibular regions associated with mastication, our results show that among male gorillas and orangutans, patterns of variation in the sagittal crest, TMAA, mandibular ramus and the coronoid process cannot be explained by the muscle attachment hypothesis alone. These findings have implications surrounding the associations between social behaviour and the morphology of the craniofacial complex.
The efficacy of vaginal treatment for non‐Lactobacillus dominant endometrial microbiota—A case–control study
Authors: Sakamoto Mito , Tanaka Hiroaki , Enomoto Sayako , Takeuchi Hiroki , Nishioka Mikiko , Tanaka Kayo , Takayama Erina , Maezawa Tadashi , Kondo Eiji , Ikeda Tomoaki 
Published: February 2024

AbstractAimReduced Lactobacillus occupancy in the uterine microflora has been associated with implantation failure. This study aimed to evaluate a treatment for improving the uterine microflora.MethodsThis study included patients diagnosed with repeated implantation failure—defined as failure to achieve pregnancy after two or more transfers of viable embryos—who were classified as non‐Lactobacillus dominant. Treatment A comprised oral administration of antibiotics for 1 week, followed by oral probiotic butyrate tablets (3 g/day) for approximately 30 days. Treatment B comprised a 1‐week course of oral (750 mg/day) and vaginal (250 mg/day) metronidazole, followed by a 1‐week intravaginal administration of probiotic capsules (1 capsule/day) and continued oral administration of probiotics (1 capsule/day). Both treatments were compared in terms of efficacy in improving vaginal flora. Improvement was defined as Lactobacillus occupancy >90% or an increase in Lactobacillus occupancy >20%.ResultsSeven (41.2%) of 17 patients in the Treatment A group improved in response to the treatment. Contrastingly, 9 (90.0%) of 10 patients improved in the Treatment B group (p = 0.0127). Following treatment, Lactobacillus occupancy in the Treatment B group (62.9% ± 12.7%) was significantly higher than that in the Treatment A group (5.7% ± 9.8%) (p = 0.0242).ConclusionsThis study demonstrates the effectiveness of combining antibiotics and probiotics in vaginal formulations for treating abnormal uterine microflora. However, its potential impact on in vitro fertilization outcomes remains unclear and warrants further investigation through larger, more comprehensive studies.
A case series of live attenuated vaccine administration in dupilumab‐treated children with atopic dermatitis
Authors: Siegfried Elaine C. , Wine Lee Lara , Spergel Jonathan M. , Prescilla Randy , Uppal Sumeet , Coleman Anna , Bansal Ashish , Cyr Sonya L. , Shumel Brad 
Published: February 2024

AbstractBackground and ObjectiveCurrent regulatory labeling recommends avoiding live vaccine use in dupilumab‐treated patients. Clinical data are not available to support more specific guidance for live or live attenuated vaccines administration in dupilumab‐treated patients.MethodsChildren (6 months–5 years old) with moderate‐to‐severe atopic dermatitis (AD) enrolled in a phase 2/3 clinical trial of dupilumab (LIBERTY AD PRESCHOOL Part A/B; NCT03346434) and subsequently participated in the LIBERTY AD PED‐OLE (NCT02612454). During these studies, protocol deviations occurred in nine children who received measles, mumps, rubella (MMR) vaccine with or without varicella vaccine; five with a ≤12‐week gap between dupilumab administration and vaccination and four with a >12‐week gap after discontinuing dupilumab.ResultsNine children (1 female; 8 male) had severe AD at baseline (8–56 months old). Of the nine children, five had a ≤12‐week gap ranged 1–7 weeks between dupilumab administration and vaccination who received MMR vaccine (n = 2) or MMR and varicella vaccines (n = 3); among these, one resumed dupilumab treatment as early as 2 days and four resumed treatment 18–43 days after vaccination. No treatment‐emergent adverse events, including serious adverse events and infections, were reported within the 4‐week post‐vaccination period in any children.ConclusionsIn this case series of dupilumab‐treated children with severe AD who received MMR vaccine with or without varicella vaccine, no adverse effects (including vaccine‐related infection) were reported within 4 weeks after vaccination. Further studies are warranted to evaluate the safety, tolerability, and immune response to live attenuated vaccines in dupilumab‐treated patients.
A Feminist and Decolonial Approach to Kinship: An Ambiguous and Ambivalent Account
Authors: Crapo Kim Ruthanne Soohee 
Published: February 2024

AbstractThis article briefly traces newer kinship studies at the edges of kinship formations and argues that a feminist, decolonial examination of kinship interrupts cultural relatedness as a capital set of social relations meant to satiate the ache to belong to or progenerate a group. Examining the coordinated relationship between kinning and de‐kinning, the author exposes the suffering the social contract fails to register but reinscribes. Central to this analysis is kinship's global colonizing matrix dominated by white‐heteronormative ableism that shapes and prices commodified belonging and generation. This global colonizing matrix is the focus of this inquiry, examined through a cursory consideration of the author's lived experience as a transnational and transracial adoptee and racial minority scholar who teaches majority BIPOC students. This account theorizes a specific experience of kinship to broaden the analysis for others to locate their narratives and ongoing contributions to the deformation and reformation of kinship studies.
How does vector diversity influence the transmission efficiency of yellow dwarf virus? Perspectives from a review
Authors: Leybourne Daniel J. 
Published: February 2024

AbstractCereals are some of the most important global crops that contribute directly and indirectly to the production of food for human consumption. Cereal aphids can cause significant damage to wheat, barley and oats, particularly via the transmission of plant viruses that cause devastating plant diseases, such as yellow dwarf disease. High levels of yellow dwarf disease can result in yield losses of around 20%, rising to 80% if infection is severe. Yellow dwarf disease is caused by multiple viruses, including viruses within the families Tombusviridae and Solemoviridae. These include yellow dwarf virus species within the genus Luteovirus (Barley yellow dwarf virus) and Polerovirus (Cereal yellow dwarf virus, Wheat yellow dwarf virus, Maize yellow dwarf virus). Some yellow dwarf virus species are primarily vectored by one aphid species whereas others can be transmitted by multiple vectors. Biological diversity within a given vector species (e.g., genotype, biotype) can influence virus transmission efficiency. However, it is unclear what biological factors drive this variation within a given vector species. Understanding how biological variation in vector populations influences virus transmission efficiency can help to identify biological traits that underpin successful transmission in competent vector populations. Here, the available literature on yellow dwarf virus transmission efficiency is synthesized and significant variation in yellow dwarf virus transmission efficiency is detected between different populations for several vector species. Three biological mechanisms that potentially underpin this variation are proposed.
The effect of alfalfa supplementation during the peripartum period on udder oedema and fertility in dairy sheep
Authors: Bozkurt Gokhan , Kaya Feyyaz , Tasal Ibrahim , Yildiz Ramazan 
Published: February 2024

AbstractIn recent years, there has been a trend towards hyperoestrogenic feeding methods in field conditions, particularly in dairy small ruminants. This study aimed to investigate the effect of alfalfa supplemented ration in the prepartum period on the occurrence of udder oedema in dairy ewes and its impact on fertility problems (dystocia, vaginal prolapse, uterine prolapse, retained placenta) and diseases (mastitis, udder dermatitis) occurring in the postpartum period. In addition, it aimed to follow up the data on maternal rejection behaviours and litter viability, which are believed to affect the future productivity and fertility of the herd. The ewes were divided into two groups: the oedema group (n = 20) and the control group (n = 23). For trial purposes in the oedema group, primiparous animals were provided with alfalfa supplementation. The control group consisted of ewes fed the same ration but without alfalfa supplementation. Ingredient analysis of the rations was performed in the groups. In biochemical analyses, the oedema group demonstrated significantly higher levels of serum urea (p < .05), Ca (p < .000) and Ca/P ratio (p < .01) compared to the control group. Clinical mastitis (0–7 days, p = .051) and (8–30 days, p = .149) were reported at a higher rate in the oedema group compared to the control group. Udder dermatitis cases were more common in the oedema group (p = .005). The mother's rejection of the lamb was higher in the oedema group. Dystocia was determined to be 30% in the oedema group (p = .023). In conclusion, applying hyperoestrogenic feeding strategies during the periparturient period firstly exacerbates physiological udder oedema in ewes, thus predisposing them to various herd fertility problems. This feeding strategy, frequently encountered in field conditions, seriously harms the physiological fertility process.
Indirect Prediction of Spindle Rotation Error Through Vibration Signal Based on Supervised Local Mean Decomposition Filter Fusion and Bi-LSTM Classification Network
Authors: Liang Jianhong , Wang Liping , Yu Guang , Wu Jun , Wang Dong , Lin Song 
Published: February 2024

Abstract
Spindle rotation error directly correlates with the quality of mechanical processing. Currently, the error was mainly converted through measuring the distance information of standard component installed at the tool position, and it can't complete the normal machining because the tool is occupied. Therefore, a novel self-adaptive supervised learning method through easy-collected vibration signal that don't affect the machining to indirect predict the error. This method includes three steps: First, the original vibration signal is decomposed by local mean decompression (LMD) method to obtain two critical components; subsequently, the two components are fused as a signal by a weighted-average approach; finally, the fused signal and corresponding error are self-adaptive supervised trained by the setting termination condition to modify fusion coefficient and network parameters. The method is used to analyze the data-set of spindle platform, which has collected the experimental data at speeds 1000, 2000, 3000, and 4000 more than 170 groups, and the indirect prediction accuracy reached 94.12%, 92.35%, 97.68%, and 90.59%, respectively. Additionally, the experimental results were compared and demonstrated by three aspects with current different algorithms.
Conjugate Heat Transfer Approach to Gas Turbine Engine Modeling
Authors: Mulla Jaasim , Satpathy R. K. , Kaka Fiyanshu 
Published: February 2024

Abstract
There is an increasing pressure on the aviation industry to rein in its emissions in light of the global climate change. The sector is ripe for introducing innovations to power the next generation of aircrafts. The hot-gas-path components in gas turbine engines remain a key area for further innovations to drive up efficiency. Since the total work derived from the turbine is a function of the turbine entry temperature (TET), the past few decades have seen a steady growth in TETs. This has been possible by the use of single crystal blades, thermal barrier coatings (TBC) and improved cooling mechanisms. The present form of turbine blades is the result of decades of constant innovation. Modeling the flow of heat through this multi-material, multi-layered feat of engineering has usually been restricted to conductive and convective mode of heat transfer. However, with rising TETs, the fraction of heat transferred via radiation will increase exponentially. The present study is the result of an effort to develop a comprehensive conjugate heat transfer model incorporating the effects of conductive, convective, and radiative heat transfer. Thermal radiation, which has been largely ignored in past conjugate heat transfer approaches, will be a key element in the design of future turbine blades and other hot-gas-path components. The model evaluated the variation in thermal barrier coating thickness, conductivities, effectiveness of internal cooling mechanisms, etc., to build a robust map of the temperature distribution across the turbine blade at TETs as high as 2300 K. Results showed that the inclusion of radiation in the model has a large impact on the temperature distribution within the blade. The effects vary from the dominance of radiative heat transfer to the blade at elevated temperatures to radiative cooling from the emissive blade surface at lower operating temperatures. Moreover, the findings indicate the inability of current convective and conductive cooling mechanisms to counter higher TETs. Therefore, novel low-conductivity coatings and cooling mechanisms were modeled and have been found to outperform the state-of-the-art by as much as 200 K, for a comparable value of thickness. Therefore, approaches combining conduction, convection and radiation must be used to develop the next generation of blades, leading to more efficient, reliable and environment-friendly gas turbines.
Design and Multi-Perspective Investigations on Aeroacoustic Noise Reduction Technologies for Anti-Drone Propeller
Authors: Raja Vijayanandh , Jayakumar Shyam Sundar , Saravana Mohan Haribalan , Rajendran Parvathy , Stanislaus Arputharaj Beena , Madasamy Senthil Kumar 
Published: February 2024

Abstract
The increasing use of drones in military and defence applications require stealth technology to reduce noise generated by the propeller, which can compromise the drone’s mission. Noise reduction techniques have been developed to address this issue. In this regard, a unique forward speed based drone propeller has been designed. One approach is implementation of optimized sawtooth serrations can be used to reduce noise generated by propellers. The use of serrations on the trailing edge of propeller blades will reduce the noise generated by creating a series of miniature vortices along the trailing edge of the propeller blade, which decrease the intensity of the blade tip vortices and change the frequency of the blade noise. By adjusting the blade angle, the propeller can be optimized to operate at a lower tip speed, reducing noise generated by the blade passing through the air. Numerical simulations using CFD and experimental studies have shown that noise reduction methods in propeller blades can lead to significant reductions in noise, with noise reductions of up to reasonable decibels. According to the calculated model and methods, the most important details are that there are several techniques that can be used to reduce the noise generated by propellers used in defence drones. The combination of these techniques into the design, it is possible to build a stealth drone with a reduced acoustic signature, improved performance, and enhanced mission capabilities for the Anti-Drones to monitor the border areas and counter attack the enemy drones by stealth technology. Through ANSYS Workbench tool, the structural characteristics and aero-acoustics investigations are carried out on this propeller. Through multi-objective investigations, the fine-tuned propeller is shortlisted for hybrid UAV.
An Economic Evaluation of Post CO2 Capture Techniques for Natural Gas Combined Cycle Power Plants
Authors: Singh Surendra , Nandagopal Pugalenthi , Pichandi Muruganandam , Duerr Matthias 
Published: February 2024

Abstract
The Power Generation (PG) industry is focusing to reduce or eliminate their carbon emissions to address global warming and comply with the goals of the Paris agreement. However, the pandemic has disrupted their planned targets and has led to economic crises. With many countries still grappling with the pandemic, it is important for the industry to refocus and develop a plan to meet their emissions reduction targets.
The rapid conversion from natural gas (NG) to hydrogen (H2) or ammonia (NH3) is not currently a viable option due to the availability of fuel and existing technologies cost. Nonetheless, there are alternative technologies that have been developed to capture Carbon dioxide CO2 during both pre- and post-combustion stages in natural gas combined cycle (NGCC) power plant. Investment and operational cost are the deciding factors for the electricity providers to adopt carbon capture, utilization, and storage (CCUS) technologies to implement pre-combustion or post-combustion on the existing plants.
In this study, the Levelized Cost of Electricity (LCOE) and other economic parameters will be evaluated for the implementation of CCUS technologies in post combustion stage of a NGCC power plant. The economic analysis will be performed using Siemens Energy’s proprietary PV tool to generate estimates and recommendations.
The study will use a NGCC power plant as a reference model and will calculate the cost and efficiency impacts, as well as other benefits against CO2 penalties while implementing suitable CCUS technologies at post combustion stage of the NGCC power plant. Specifically, the study will assume the monoethanolamine (MEA) process as CO2 capturing technology in the post-combustion stage. The report will examine multiple cases, including MEA process with and without utilization.
Overall, the study aims to provide a comprehensive economic analysis of CCUS technologies for NGCC power plants. The findings of this study could provide guidance & effective strategies for electricity providers in determining the best course of action for achieving their emissions reduction goals by examining the possibilities of implementing CCUS technologies on their power plants based on the case results and discussions. Ultimately, the study could serve as a valuable resource for the electricity industry as it seeks to address the challenges of climate change and transition to a more sustainable energy future.