bluuebunny/crossref_metadata_2025_split huggingface dataset:
Modeling the acceptance of vegetarian diets to promote sustainable food systems
Authors: Rajeh Caroline , Hunter Jean B. , Levitsky David A. , Zeineddine Myra , Kharroubi Samer A. , Olabi Ammar 
Published: August 2024

AbstractWith increasing concerns about health, animal welfare, and the environment, changes in dietary patterns are emerging, as evidenced by the gradual shift toward plant‐rich diets. To appropriately plan vegetarian meals with high consumer satisfaction that would help promote this dietary pattern and ultimately improve the sustainability of food systems, meal acceptability testing would be crucial. The present work aims to investigate the influence of individual food components' acceptability on the overall meal acceptability in vegetarian diets. Over four taste‐testing periods, 94 panelists of US nationality recruited from Cornell University staff (47 males and 47 females; 30–50 years of age) were asked to rate the acceptability of 41 vegetarian meals containing various food category items, including a main dish, side dish, appetizer, salad, soup, bread, dessert, beverage, and a control food. Each meal included six menu items to ensure the tested foods resembled a typical meal. Consequently, some meals lacked one or more of the nine total food categories. Participants were asked to rate the acceptability of the six meal items and the overall meal acceptability on a 9‐point hedonic scale. Multiple imputation was used to fill in any missing data, and multiple linear regression analysis was then performed. Through this study, a model that predicts the overall meal acceptability of vegetarian diets based on individual meal category components was developed with an R‐squared value of .7033, suggesting that around 70.33% of the variation in overall meal acceptability could be explained by the nine food category predictors. The findings also suggested that the most influential food item on overall meal acceptability was the main dish followed by the side dish. For every unit increase in the acceptability score of the main dish on a 9‐point hedonic scale, the overall meal acceptability increased by 0.324 points. The positive findings would be beneficial to food service providers in designing a vegetarian meal with high meal acceptability. By focusing on optimizing the acceptability of these two key categories, menu planners can effectively elevate customers' satisfaction of their meals.
Numerical simulation of CO2 geological sequestration and CO2‐ECBM in coal beds of Longtan Formation, Xiangzhong Depression, Hunan Province, China
Authors: Zou Mingjun , Ding Zibin , Cheng Yiyi , Yao Linlin , Sun Yue , Wang Keying 
Published: August 2024

AbstractGeological sequestration of carbon dioxide (CO2) is an effective method to reduce greenhouse gases and an important technology for carbon neutralization. Among all geological sequestration sites, coal reservoirs are potentially effective and practicable. The Xiangzhong Depression of Hunan Province of China is selected as the research area, and the coal seam of Longtan Formation is the target reservoir in this paper. CO2‐enhanced coalbed methane (CO2‐ECBM) and CO2 sequestration capacity are both simulated according to the laboratory experiments on reservoir parameters. During simulation, four production wells and one injection well were designed, and the simulation process can be divided into two stages: CO2‐ECBM and CO2 geological storage. The CO2‐ECBM stage refers to CO2 injection for increasing methane production, and the CO2 geological storage stage aims to predict the CO2 sequestration capacity. After that, sensitivity analyses of sequestration effect are carried out. During the simulation, when maintaining a constant pressure injection of CO2 under the original conditions of 0.01 mD permeability, 9% porosity, and 1.47 MPa reservoir methane pressure, the total storage amount is only 0.14 × 106 m3. However, the storage amount increases significantly to 6.62 × 106 m3 if the permeability increases to 1.5 mD. Orthogonal simulation indicates that permeability has the greatest impact on CO2 sequestration. © 2024 Society of Chemical Industry and John Wiley & Sons, Ltd.
Estimating the Prevalence of Dementia in New Zealand Using Capture‐Recapture Analysis on Routinely Collected Health Data
Authors: Ma'u E. , Cullum S. , Mukadam N. , Davis D. , Rivera‐Rodriguez C. , Cheung G. 
Published: August 2024

ABSTRACTObjectivesCommunity based dementia prevalence studies are expensive and resource intensive. Aotearoa New Zealand (NZ) has never had a community based dementia prevalence study representing all major ethnic groups. In recent years, dementia prevalence estimates have been derived from routinely collected health data but issues of underdiagnosis and undercoding limit their utility. Capture‐recapture techniques can estimate the number of dementia cases missing from health datasets by modelling the ascertained overlaps between linked data sources.MethodsThree routinely collected national health data sets—interRAI, Public hospital discharges, and Pharmaceuticals—were linked and all prevalent cases of dementia in NZ for the year 1 January 2021–31 December 2021 were identified. Capture‐recapture analysis fitted eight loglinear models to the data, with the best fitting model used to estimate the number of prevalent cases missing from all three datasets.ResultsWe estimated that almost half (47.8%) of dementia cases are not present in any of the three datasets. Dementia prevalence increased from 3.7% to 7.1% (95% CI 6.9%–7.4%) in the NZ 60+ population and from 4.9% to 9.2% (95% CI 8.9%–9.6%) in the NZ 65+ population when missing cases were included. Estimates of missing cases were significantly higher (p < 0.001) in Māori (49.2%), Pacific peoples (50.6%) and Asian (59.6%) compared to Europeans (46.4%).ConclusionsThis study provides updated estimates of dementia prevalence in NZ and the proportion of undiagnosed dementia in NZ, highlighting the need for better access to dementia assessment and diagnosis.
Effects of rural hospital closures on nurse staffing levels and health care utilization at nearby hospitals
Authors: Dong Jing , Liu Siying , Covelli Asefeh Faraz , Cataife Guido 
Published: August 2024

AbstractOur study examines the causal effect of rural hospital closures on nearby hospitals' nurse staffing levels and health care utilization. We use data from the 2014–2019 American Hospital Association Survey on nurse staffing level outcomes including licensed practical or vocational nurses (LPNs), registered nurses (RNs), and advanced practice nurses (APNs); and health care utilization outcomes, including inpatient and outpatient surgical operations and emergency department (ED) visits. Using propensity score matching and difference‐in‐differences (DID) methods, we find that rural hospital closures lead to an average increase of 37.3% in the number of nurses in nearby rural hospitals during the 4 years following the closure. This increase is found across all categories of nurses, including LPNs, RNs, and APNs. We also find a substantial increase in the provision of inpatient and outpatient surgical operations but there is no change in ED visits. We do not find any effects for nearby urban hospitals. Our study suggests that a large proportion of the nursing workforce relocates to nearby hospitals after a rural hospital closure, which mitigates the negative consequences of such closures and allows these nearby hospitals to provide a larger volume of highly profitable services.
Connectedness in exchange rates and news sentiment in the Asia‐Pacific region
Authors: Boonman Tjeerd M. , Fittje Jens C. 
Published: August 2024

AbstractExchange rate co‐movements can be pathways for contagion and reduce the ability for diversification. News sentiment on the currency, as a high frequency proxy for market expectations, may affect exchange rate dynamics. We use the connectedness approach from Diebold and Yilmaz (International Journal of Forecasting, 2012, 28(1), 57–66) to model co‐movements of exchange rate changes and news sentiment of 14 Asian‐Pacific currencies from 1998 to 2022. Our results indicate that the connectedness between the exchange rate changes increases over time, especially among advanced economies after the Global Financial Crisis. We do not find evidence that currency news sentiment can serve as an early warning indicator for exchange rate changes.
The HEADS‐ED under 6: Piloting a new communimetric mental health and developmental screening and triage tool for young children
Authors: Polihronis Christine , Cloutier Paula , Kempe Lori , Schryer Joel , Cappelli Mario 
Published: August 2024

AbstractCommunimetric screening tools help clinicians identify and communicate their patient's areas of need and the corresponding level of action. However, few tools exist to identify mental health (MH) and developmental needs in young children. We aimed to implement and evaluate a new communimetric MH and developmental screening tool for children under 6 (HEADS‐ED Under 6) in a community MH agency in Ontario, Canada. Using a prospective cohort design, we explored how intake workers used the HEADS‐ED Under 6 screening tool from November 2019 to March 2021. 94.5% of children (n = 535/566) were screened with the HEADS‐ED at intake. Total HEADS‐ED scores and domains were used to inform the intensity of recommended services. Three clinical domains (Eating & sleeping, Development, speech/language/motor, and Emotions & behaviors) also independently predicted a priority recommendation. The tool showed good concordance with the InterRAI Early Years for children under 4 years old. The HEADS‐ED Under 6 was a brief, easy, and valid screening tool, and can be used to identify important MH and developmental domains early, rate level of action/impairment, communicate severity of needs, and help determine intensity of service required.
Innovative resource allocation mechanism for optimizing 5G multi user‐massive multiple input multiple output system
Authors: Leela Rani P. , Devi N. , Guru Gokul AR. 
Published: August 2024

Abstract5G networks are essential in all locations owing to the multitude of advantages they provide. As a result, the number of users has increased dramatically. Nevertheless, these users require a variety of resources in order to function efficiently. Deep learning techniques have been created to improve the precision and dependability of resource allocation in the context of 5G networks. This research utilizes an efficient recurrent neural network (ERNN) to handle resource allocation for 5G multiuser (MU)‐massive multiple input multiple output (MIMO). In order to optimize the objective functions, the first application of the multi‐objective differential evaluation algorithm (MODEA) is used. The neural network is provided with these updated goal functions in order to allocate resources. ERNN evaluates the level of need for each individual user. By partitioning the resource at this level, it maintains a high throughput while distributing it to each user. In addition, the fairness index of the resource distribution system based on neural networks is established. The suggested method achieves a data transfer rate of 290 bits per second (bps) and a fairness index of 0.97% when used by 50 users. The findings of the proposed method exhibit superior performance compared to other existing methods in the field of 5G massive MIMO.
Promoting the healing of infected diabetic wound by nanozyme‐containing hydrogel with anti‐bacterial inflammation suppressing, ROS‐scavenging and oxygen‐generating properties
Authors: Chen Le‐Ping , Wang Xin‐Yu , Ren Ming‐Jin , Wang Yuan , Zhao Jia‐Meng , Qiang Ti‐Ti , Dong Lin‐Yi , Wang Xian‐Hua 
Published: August 2024

AbstractBacterial infections already pose a significant threat to skin wounds, especially in diabetic patients who have difficulty healing wounds. However, wound or bacterial infections are known to produce excess reactive oxygen species (ROS), and hypoxia may further hinder wound healing and the development of chronic wounds. In this study, a multifunctional hydrogel for ROS scavenging and bacterial inhibition was developed by cross‐linking polyvinyl alcohol (PVA) and sodium alginate (SA) with graphene oxide (GO) loaded with silver‐platinum hybrid nanoparticles (GO@Ag‐Pt). The PVA/SA hydrogel loaded with GO@Ag‐Pt exhibited the ability to scavenge different types of ROS, generate O2, and kill a broad spectrum of bacteria in vitro. The silver‐platinum hybrid nanoparticles significantly increased the antibacterial ability against Escherichia coli and Staphylococcus aureus compared with silver nanoparticles (AgNps). GO@Ag‐Pt loaded hydrogel was effective in treating infections caused by S.aureus, thereby significantly promoting wound healing during the inflammatory phase. Hydrogel therapy significantly reduced the level of ROS and alleviated inflammation levels. Notably, our ROS‐scavenging, antibacterial hydrogels can be used to effectively treat various types of wounds, including difficult‐to‐heal diabetic wounds with bacterial infections. Thus, this study proposes an effective strategy for various chronic wound healing based on ROS clearance and bacteriostatic hydrogels.
Perceptions of police as a moderator between negative experiences and mental health symptoms
Authors: Algrim Kaylise , Keita Mamadee , Herbert Christian , Moreno Franklin , Boxer Paul 
Published: August 2024

AbstractNegative experiences with police present serious risks for mental health. However, interpretation plays a meaningful and little understood role in the effects of those experiences. This study expands on previous work exploring coping responses to negative police experiences and investigates the relation between negative experiences with police and mental health outcomes. Participants (N = 198) were from a diverse sample of young adults at a minority‐serving institution. Black/African American, Hispanic/Latinx, and Middle Eastern/North African participants reported significantly more negative police experiences than White and Asian/Asian American participants. Black/African American and Hispanic/Latinx also showed more negative perceptions of police. Negative police experiences were positively related to depression but not posttraumatic stress symptoms. There were also meaningful interactive effects between negative experiences and perceptions of police on levels of posttraumatic stress and depression, suggesting negative perceptions of police may buffer negative effects of negative police experiences. Our findings point to the importance of addressing negative encounters with police as mental health stressors, as well as effects of crucial differences in perceptions of police by race. This research contributes to a growing understanding of the complex nature and effects of experiences with police on mental health.
Prospective evaluation of ultrasonographic fetal cardiac morphometry and functions in the third trimester of pregnancies with gestational diabetes mellitus
Authors: Duygulu Dilara , Mutlu Sütcüoğlu Bengü , Turgut Ezgi , Özdemir Halis , Karçaaltıncaba Deniz 
Published: August 2024

AbstractObjectiveThis study aimed to compare cardiac morphological and functional changes in fetuses of patients with diet‐regulated gestational diabetes mellitus (GDM‐A1), insulin‐regulated GDM (GDM‐A2), and a control group.MethodA prospective cohort study included pregnant women aged 18–40 years with singleton pregnancies. Fetal biometric, cardiac morphological, and functional measurements were recorded using Z‐scores at 34–37 weeks of gestation.ResultsThe study included 87 patients. Both right and left ventricular wall thicknesses were significantly different between the three groups (p < 0.001 and p < 0.001, respectively). Z‐scores of the mitral valve, left and right EDD were significantly lower in GDM‐A1 and GDM‐A2 groups compared to the control group (p < 0.001, p < 0.001, p = 0.002, respectively). Right and left ventricular areas were decreased only in GDM‐A2 group compared to the control group (p = 0.003 and p = 0.001, respectively). MPI and IVRT values were also significantly higher in the same groups (p = 0.016, p < 0.001, respectively).ConclusionGestational diabetes increased IVS and ventricular wall thicknesses in both right and left ventricles, irrespective of whether it was controlled by diet or insulin. Cardiac functional changes were observed in the GDM‐A2 group.
Removal of nutrients from aquaculture wastewater using cattail (Typha spp.) constructed wetlands
Authors: Blandford Nicholas C. , McCorquodale‐Bauer Kenton , Grosshans Richard , Hardy Bruce , Cicek Nazim , Palace Vince 
Published: August 2024

AbstractThe aquaculture industry is among the fastest growing food production sectors in the world. Land‐based aquaculture systems continue to increase in popularity as they offer the benefits of controlling diseases, managing water quality, and minimizing threats to wild populations of fish. However, these systems discharge wastewater high in N and P. The ability of cattail (Typha spp.) constructed wetlands (CWs) to remove N and P from aquaculture wastewater (AWW) was examined here. Cattail CWs were established in mesocosms and had a gradient of AWW applied weekly for a total of 5 weeks. Total N and P loadings ranged from 13.7 to 209.2 mg m−2 and 3.01 to 45.97 mg m−2 over 28 days, respectively. Additions of AWW did not cause elevations in total dissolved N, total ammonia N, or nitrite N in CW water; however, concentrations of nitrate N and P in CW water were related to nutrient loading conditions. Elevations in P persisted for 3–4 weeks among high nutrient loading treatments, providing an opportunity for eutrophic conditions to develop in CW systems. However, after 33 days of treatment, >95% total P concentration reduction was achieved in all mesocosms with final concentrations <0.05 mg L−1, equivalent to reference conditions. High‐loading treatments achieved greater P load reduction (856.8–955.0 mg m−2 year−1) than low‐loading and reference treatments (591.7–792.7 mg m−2 year−1). This study demonstrates the effectiveness of cattail CWs to remove nutrients during AWW treatment and highlights the potential for end‐of‐season use in northern climates, providing insights regarding the operational timeline of such systems.
The LTAR Grazing Land Common Experiment at the Great Basin
Authors: Clark Patrick E. , Woodruff Craig D. , Hedrick Andrew R. , Hardegree Stuart P. , Flerchinger Gerald N. 
Published: August 2024

AbstractThe Long‐Term Agroecosystem Research (LTAR) network, through its Common Experiment (CE) framework, contrasts prevailing and alternative agricultural practices for efficacy and sustainability within the indicator domains of environment, productivity, economics, and society. Invasive species, wildfire, and climate change are principal threats to Great Basin agroecosystems. Prescribed grazing may be an effective tool for restoring lands degraded by these disturbances. At the Great Basin (GB) LTAR site headquartered in Boise, ID, our contribution to the CE contrasts a prevailing (PRV), cattle grazing practice of fixed moderate stocking and duration with an alternative (ALT), prescribed grazing practice called high‐intensity low‐frequency (HILF) grazing where stocking and duration are tailored to suppress invasive annual grass competition with native or desirable plant species and thus promote recovery of rangelands degraded by annual grass invasion and recurrent wildfire. Preliminary results indicate cheatgrass density and fuel height have been reduced in ALT‐treated paddocks compared to PRV paddocks. Since its inception in 2014, our GB CE has been a research co‐production effort among ranchers, public land managers, and researchers. Future directions for this research will center on expanding the experiment to multiple study areas to better address the scope of the annual grass/wildfire problem. We expect this research will lead to effective and sustainable grazing practices for restoring >41 million hectares of degraded rangelands in the Great Basin and other areas of the western United States.
Variations in fluorescence properties of humic acids from calcareous soils amended with different swine manures in a long‐term soil experiment
Authors: Mohammed Ibrahim , Kudaolu Busayo , Audette Yuki , Longstaffe James G. 
Published: August 2024

AbstractMolecular properties of soil humic acid (HA) can play an important role in the mechanisms regulating plant nutrient availability. This study explores how the structure of HA is altered by long‐term treatment with different forms of swine manure and how these changes may influence nutrient availability. Liquid swine manure (LSM), solid swine manure (SSM), and swine manure compost (SMC) were applied to a calcareous soil over 17 years in a long‐term soil fertility study. HA was extracted from site soil samples and analyzed using fluorescence spectroscopic techniques, including a Cu2+ quenching experiment, in order to assess differences in the structure and functionality of the soil organic matter (SOM) resulting from these different treatments. Emission spectra of the SSM‐HA and SMC‐HA are similar, while the LSM‐HA is distinct. Procedures such as parallel factor analysis (PARAFAC) decomposition of emission–excitation matrices showed that structures in the SSM‐HA and SMC‐HA samples have lower complexity, whereas the structures of LSM‐HA are of higher complexity. Interactions with Cu2+ at different pH levels indicate that the LSM‐HA shows more dynamic conformational changes as well as stronger interactions and higher quenching efficiency compared to the other treatments. Conversely, SMC‐HA demonstrates relatively stable binding constant (Ka) values across different pH levels. The binding constants and quenching efficiency of SSM‐HA are significantly affected by changes in pH. This study shows distinct structural characteristics of HA formed under different manure management systems and provides valuable insights into how these variations may impact nutrient dynamics in soils.
Diagnosis of isolated hilar‐/extrahepatic‐type IgG‐4‐related sclerosing cholangitis can be increased by improved recognition of this condition—A Japanese multicenter analysis
Authors: Kubota Kensuke , Iwasaki Eisuke , Ishikawa Takuya , Kuwatani Masaki , Takenaka Mamoru , Iwashita Takuji , Masuda Atsuhiro , Ikeura Tsukasa , Nakamura Akira , Tanaka Atsushi , Isayama Hiroyuki , Hirooka Yoshiki , Hirano Kenji , Ryozawa Shomei , Ogura Takeshi , Fujisawa Toshio , Kurita Yusuke , Kikuta Kazuhiro , Hayashi Nobuhiko , Masamune Atsushi , Yasuda Ichiro 
Published: August 2024

AbstractBackgroundPatients with isolated IgG4‐related sclerosing cholangitis (IgG4‐SC) often undergo unnecessary resection. The aim of this study was to validate the revised Japanese diagnostic criteria for isolated IgG‐4‐SC and to improve awareness about this condition in the population.MethodsThis was a Japanese retrospective multicenter study. We focused on the data and diagnostic yield obtained using the Japanese diagnostic criteria published initially in 2012 and revised later in 2020 for the diagnosis of isolated IgG4‐SC.ResultsPatients with isolated IgG4‐SC could be classified into two groups based on the primary location of the lesion: the hilar type (n = 40) and the extrahepatic type (n = 13). In total, 10 patients with the hilar type had undergone unnecessary resection. The revised 2020 criteria are useful for the diagnosis of extrahepatic lesions, which are not included in the 2012 criteria. The need for a steroid trial was reduced from 37.7% when the diagnosis was based on the 2012 criteria to 7.6% when the diagnosis was based on the revised 2020 criteria. The diagnostic specificity also improved from 58.5% for the 2012 criteria to 88.7% for the revised 2020 criteria.ConclusionOur validation of the 2020 criteria for the diagnosis of IgG4‐SC could contribute to avoiding unnecessary resection in patients with isolated IgG4‐SC, which can be classified into the hilar and extrahepatic types. The 2020 criteria can enhance the diagnosis rate of isolated IgG4‐SC and uncover this tough‐to‐diagnose entity based on inclusion of the imaging findings and decrease the dependence on a steroid trial.