bluuebunny/crossref_metadata_2025_split huggingface dataset:
Preparedness and Response Strategies for Chemical, Biological, Radiological, and Nuclear Incidents in the Middle East and North Africa: An Artificial Intelligence-Enhanced Delphi Approach
Authors: Farhat Hassan , Alinier Guillaume , Bajow Nidaa , Batt Alan , Helou Mariana Charbel , Campbell Craig , Shin Heejun , Mortelmans Luc , Dehghani Arezoo , Dumbeck Carolyn , Mugavero Roberto , Abougalala Walid , Zelfani Saida , Laughton James , Ciottone Gregory , Dhiab Mohamed Ben 
Published: October 2024

Abstract

Objective
Chemical, biological, radiological, and nuclear (CBRN) incidents require meticulous preparedness, particularly in the Middle East and North Africa (MENA) region. This study evaluated CBRN response operational flowcharts, tabletop training scenarios methods, and a health sector preparedness assessment tool specific to the MENA region.

Methods
An online Delphi survey engaging international disaster medicine experts was conducted. Content validity indices (CVIs) were used to validate the items. Consensus metrics, including interquartile ranges (IQRs) and Kendall’s W coefficient, were utilized to assess the panelists’ agreement levels. Advanced artificial intelligence computing methods, including sentiment analysis and machine-learning methods (t-distributed stochastic neighbor embedding [t-SNE] and k-means), were used to cluster the consensus data.

Results
Forty experts participated in this study. The item-level CVIs for the CBRN response flowcharts, preparedness assessment tool, and tabletop scenarios were 0.96, 0.85, and 0.84, respectively, indicating strong content validity. Consensus analysis demonstrated an IQR of 0 for most items and a strong Kendall’s W coefficient, indicating a high level of agreement among the panelists. The t-SNE and k-means identified four clusters with greater European response engagement.

Conclusions
This study validated essential CBRN preparedness and response tools using broad expert consensus, demonstrating their applicability across different geographic areas.
Impact of COVID-19 on Incidence, Treatment, and Survival of Patients with Hepatocellular Carcinoma in the Netherlands
Authors: Furumaya Alicia , van Delden Otto M. , de Wilde Roeland F. , de Vos-Geelen Judith , van der Geest Lydia G. 
Published: October 2024

Abstract

Objective
The impact of the coronavirus disease 2019 (COVID-19) on hepatocellular carcinoma (HCC) care is unclear. This study reports on HCC patterns during the COVID-19 pandemic in the Netherlands.

Methods
Patients diagnosed with HCC between 2017 and 2020 were identified from the Netherlands Cancer Registration. Monthly incidence rates were compared between 2020 and 2017–2019. Patient, tumor, process, and treatment characteristics and survival were compared between 2020 and 2017–2019, and between COVID-high (April and May 2020) and COVID-low (June and July 2020) months.

Results
The incidence of HCC was lower in May 2020 (IRR 0.56, P = 0.001) and higher in June 2020 (IRR 1.32, P = 0.05) compared to the same months in 2017–2019. In 2017–2019, 2134 patients presented with HCC, compared to 660 in 2020. Time-to-treatment was shorter in 2020 (median 60 vs. 70 days, P < 0.001). The percentage of patients undergoing any treatment did not differ, yet if treatment was not performed this was more commonly due to comorbidity in 2020 (52 vs. 39%, P < 0.001). No other differences were found in patient, tumor, process and treatment characteristics and survival between COVID-high and COVID-low months.

Conclusions
This study demonstrated no impact of the COVID-19 pandemic on HCC patients, despite a decrease in HCC diagnoses.
How and when candidate race affects inferences about ideology and group favoritism
Authors: Wu Jennifer D. , Huber Gregory A. 
Published: October 2024

Abstract
How does a candidate's racial background affect the inferences voters make about them? Prior work finds that Black candidates are perceived to be more liberal. Using two survey experiments, we test whether this effect persists when candidate partisanship and issue positions are specified and also consider other consequential voter perceptions. We make two contributions. First, we show that while Black candidates are perceived to be more liberal than White candidates with the same policy positions, this difference is smaller for Black candidates who adopt more conservative positions on race-related issues. Second, we find that voters, both Black and White, believe Black candidates will prioritize the interests of Black constituents over those of White constituents, regardless of candidate positions.
The Unthinkable Conclusion: Derek Parfit’s Budding Antinatalism
Authors: Häyry Matti 
Published: October 2024

Abstract
Derek Parfit famously opined that causing a person to exist with a life barely worth living can be wrong, although it is not wrong for that person. This conundrum is known as the nonidentity problem. Parfit also held that persons can, in a morally relevant sense, be caused to exist in the distant future by actions that make the agent a necessary condition for a person’s existence. When these views are combined, which he did, and applied explicitly to persons with a life not worth living, which he did not, an interesting conditional conclusion can be drawn. If every family line eventually produces a person with a life not worth living, and if causing that person to exist cannot be justified by the benefits befalling others in the family line, it is always wrong to have children. Parfit did not draw this antinatalist conclusion, but an analysis of his introduction of the nonidentity problem shows that he could have. Since Parfit’s other views on population ethics continue to be discussed with relative respect, it stands to reason that the antinatalist position should be no exception. Right or wrong, it has its legitimate place in considerations concerning the future of reproduction.
Effect of fall- and spring-planted cover crops and residual herbicide on emergence dynamics of glyphosate-resistant kochia (Bassia scoparia)
Authors: Dhanda Sachin , Kumar Vipan 
Published: October 2024

Abstract
Two separate field experiments were conducted during the 2021 to 2022 and 2022 to 2023 growing seasons at Kansas State University Agricultural Research Center near Hays, KS, to understand the emergence dynamics of glyphosate-resistant (GR) kochia [Bassia scoparia (L.) A. J. Scott] as influenced by fall- and spring-planted cover crops (CC) and residual herbicide. Study sites were under winter wheat (Triticum aestivum L.)–sorghum [Sorghum bicolor (L.) Moench]–fallow rotation with a natural seedbank of GR B. scoparia. In Experiment 1, fall-planted CC mixture (triticale/winter peas/radish/canola) was planted after wheat harvest and terminated at triticale [×Triticosecale Wittm. ex A. Camus [Secale × Triticum] heading stage (next spring before sorghum planting). In Experiment 2, spring-planted CC mixture (oats/barley/spring peas) was planted in sorghum stubbles and terminated at oats (Avena sativa L.) heading stage. Four treatments were established in each experiment: (1) nontreated control (no CC and no herbicide), (2) chemical fallow (no CC but glyphosate + acetochlor/atrazine or flumioxazin/pyroxasulfone + dicamba were used to control weeds), (3) CC terminated with glyphosate, and (4) CC terminated with glyphosate plus residual herbicide (acetochlor/atrazine for fall-planted CC and flumioxazin/pyroxasulfone for spring-planted CC). Results indicated that fall-planted CC delayed GR B. scoparia emergence by 3 to 5 wk, whereas spring-planted CC delayed emergence by 0 to 2 wk compared with nontreated control. Fall-planted CC terminated with glyphosate plus acetochlor/atrazine reduced the cumulative emergence of GR B. scoparia by 90% to 95% compared with nontreated control across both years. Similarly, spring-planted CC terminated with glyphosate plus flumioxazin/pyroxasulfone reduced the cumulative emergence of GR B. scoparia by 83% to 90% compared with nontreated control. These results suggest that fall- or spring-planted CC in combination with residual herbicide at termination can be utilized for GR B. scoparia suppression. Results from this study will help in developing prediction models for GR B. scoparia emergence under different CC strategies.
Improving Interpolating Accuracy of Weighted Mean Temperature by Using a Novel Lapse Rate Model in Compact VMF1 Product
Authors: Sun Peng , Zhang Kefei , Zhu Dantong , Wan Moufeng , Wang Ren , Wu Suqin 
Published: October 2024

AbstractIn GNSS (Global Navigation Satellite Systems) meteorology, the accuracy of precipitable water vapor (PWV) retrieved from the tropospheric delay of GNSS signals is affected by the conversion factor. Compact VMF1 product (known as GGOS Atmosphere data) provides high‐accuracy global grid‐wise weighted mean temperature (Tm) values, which can be utilized to calculate the conversion factor. However, the Tm provided in the compact VMF1 data are solely ground surface values. To enhance the performance of compact VMF1 product, a new Tm lapse rate model for each grid point was developed for the purpose of reducing its surface Tm to the elevation of the GNSS site. Then the reduced Tm values over the neighboring grid points together with horizontal interpolation were used to obtain the interpolated Tm for the GNSS station. The sample data for the development of the new model were the Tm profiles obtained from ERA5 monthly averaged data spanning 2009–2018. To assess the model's performance, global radiosonde data at 504 radiosonde stations spanning 2019–2021 were employed. Results demonstrated that implementing the Tm lapse rate model significantly enhanced the accuracy of interpolating Tm values for GNSS stations with substantial height disparities from adjacent grid points, thereby improving PWV conversion accuracy. This indicates that employing the new Tm lapse rate model to adjust surface Tm data in the compact VMF1 product holds promise for enhancing its utility in GNSS meteorology.
Lipids associated with autophagy: mechanisms and therapeutic targets
Authors: Jarocki Michał , Turek Kacper , Saczko Jolanta , Tarek Mounir , Kulbacka Julita 
Published: October 2024

AbstractAutophagy is a molecular process essential for maintaining cellular homeostasis, with its impairment or dysregulation linked to the progression of various diseases in mammals. Specific lipids, including phosphoinositides, sphingolipids, and oxysterols, play pivotal roles in inducing and regulating autophagy, highlighting their significance in this intricate process. This review focuses on the critical involvement of these lipids in autophagy and lipophagy, providing a comprehensive overview of the current understanding of their functions. Moreover, we delve into how abnormalities in autophagy, influenced by these lipids, contribute to the pathogenesis of various diseases. These include age-related conditions such as cardiovascular diseases, neurodegenerative disorders, type 2 diabetes, and certain cancers, as well as inflammatory and liver diseases, skeletal muscle pathologies and age-related macular degeneration (AMD). This review aims to highlight function of lipids and their potential as therapeutic targets in treating diverse human pathologies by elucidating the specific roles of phosphoinositides, sphingolipids, and oxysterols in autophagy.
A data-driven strategy for phase field nucleation modeling
Authors: Hu Yang , Wang Kai , Spatschek Robert 
Published: October 2024

AbstractWe propose a data-driven strategy for parameter selection in phase field nucleation models using machine learning and apply it to oxide nucleation in Fe-Cr alloys. A grand potential-based phase field model, incorporating Langevin noise, is employed to simulate oxide nucleation and benchmarked against the Johnson-Mehl-Avrami-Kolmogorov model. Three independent parameters in the phase field simulations (Langevin noise strength, numerical grid discretization and critical nucleation radius) are identified as essential for accurately modeling the nucleation behavior. These parameters serve as input features for machine learning classification and regression models. The classification model categorizes nucleation behavior into three nucleation density regimes, preventing invalid nucleation attempts in simulations, while the regression model estimates the appropriate Langevin noise strength, significantly reducing the need for time-consuming trial-and-error simulations. This data-driven approach improves the efficiency of parameter selection in phase field models and provides a generalizable method for simulating nucleation-driven microstructural evolution processes in various materials.
Evaluation of adenoviral vector Ad19a encoding RSV-F as novel vaccine against respiratory syncytial virus
Authors: Fuchs Jana , Hübner Julian , Schmidt Anna , Irrgang Pascal , Maier Clara , Vieira Antão Ana , Oltmanns Friederike , Thirion Christian , Lapuente Dennis , Tenbusch Matthias 
Published: October 2024

AbstractRespiratory syncytial virus (RSV) is the leading cause of severe lower respiratory tract infections in infants and toddlers. Since natural infections do not induce persistent immunity, there is the need of vaccines providing long-term protection. Here, we evaluated a new adenoviral vector (rAd) vaccine based on the rare serotype rAd19a and compared the immunogenicity and efficacy to the highly immunogenic rAd5. Given as an intranasal boost in DNA primed mice, both vectors encoding the F protein provided efficient protection against a subsequent RSV infection. However, intramuscular immunization with rAd19a vectors provoked vaccine-enhanced disease after RSV infection compared to non-vaccinated animals. While mucosal IgA antibodies and tissue-resident memory T-cells in intranasally vaccinated mice rapidly control RSV replication, a strong anamnestic systemic T-cell response in absence of local immunity might be the reason for immune-mediated enhanced disease. Our study highlighted the potential benefits of developing effective mucosal against respiratory pathogens.
Exploring Knowledge of Aging in Speech-Language Pathologists: A Follow-Up Empirical Study
Authors: Heape Amber B. , Sandifer Bethany , Heape Emily A. 
Published: October 2024

Purpose:
Almost 40% of certified speech-language pathologists (SLPs) are employed in health care facilities where the percentage of aging patients is increasing. Historical research indicates a high level of implicit bias surrounding aging within the profession. The purpose of this study was to examine the current state of knowledge and implicit bias among medically based SLPs.

Method:

An online survey was distributed using a secure platform, and convenience sampling was conducted. Medical SLPs (
N
= 70) completed the Facts on Aging Quiz and questions detailing practice settings, experience, and other demographic information.

Results:

Data were analyzed using descriptive statistics with confidence intervals and segregated into demographic groups. Overall, the scores indicated less than optimal knowledge and implicit bias among the participants, with an
M
score of 67. Median and mode scores were 68. Analysis of variance between the groups showed no significant differences in ethnicity, work setting, age, experience, education, or percent of aging patients on caseload.

Conclusions:
Compared with seminal research, little has changed in 20 years. This investigation, although relatively small in sample size, highlights the need for increased education and focuses on aging populations.
Managing Functional Biopsychosocial Outcomes Impacted by Chronic Obstructive Pulmonary Disease Using Telehealth
Authors: Lin Ting-fen , Linville Deanna , Nese Rhonda N. T. , Seeley John , Shune Samantha E. 
Published: October 2024

Purpose:
The use of telehealth in the management of chronic obstructive pulmonary disease (COPD) has demonstrated benefit in addressing some key treatment barriers (e.g., accessibility of health care, costs, frailty, transportation, mobility, time). This modality may hold similar promise for the management of functional impairments in this population. Telehealth has been explored within head and neck cancer and neurological populations in dysphagia; however, less is known about the use of telehealth for biopsychosocial and eating-related impacts in COPD. The purpose of this tutorial is to describe the application of telehealth to this population, discuss the modality in the context of the medical management of COPD and dysphagia management in other populations, and provide considerations for its use. We then report a case implementation of Sudarshan Kriya Yoga as a telehealth approach in this population and describe preliminary biopsychosocial and eating-related and functional outcomes.

Conclusions:
As grounded in the previous literature and based on the preliminary case implementation findings of a small sample, telehealth for functional biopsychosocial management in the COPD population appears acceptable, appropriate, cost-effective, and feasible. This perspective demonstrates initial proof of concept and advances the diversification of management options that may better address the various complex needs of our clinical populations.
Doubly grounded buck‐boost PV grid‐connected inverter without shoot‐through problem
Authors: Yao Zhilei , Zhang Ximing , Shan Changlei 
Published: October 2024

AbstractTransformerless grid‐connected inverters (GCIs) are universally utilized in the PV system. However, they have the shoot‐through issue and common mode leakage current (CMLC). To address the above‐mentioned issues, a transformerless common‐ground GCI without shoot‐through issue is proposed. The proposed topology has one common ground between the PV array and the grid that eliminates the CMLC. The topology is the combination of two buck‐boost converters, so it has the boost capability. Each buck‐boost converter operates in half‐line period, so the proposed inverter is a single‐stage system. Only two switches operate in high frequency in positive half‐line period and only one switch operates in high frequency in negative half‐line period. Therefore, efficiency of the system can be improved. There is no current flowing through the body diode of the MOSFET. Additionally, the presented inverter has no shoot‐through problem. The operating principle is elaborated. At last, simulation and experimental results of a 250 W proposed inverter validate the theoretical analysis. The maximum efficiency of the system is 96.2%.
Point spread function errors for weak lensing – density cross-correlations
Authors: Zhang Ziwen , Kilbinger Martin , Peters Fabian Hervas , Li Qinxun , Luo Wentao , Baumont Lucie , Cuillandre Jean-Charles , Fabbro Sébastien , Gwyn Stephen , McConnachie Alan , Wittje Anna 
Published: October 2024

Aims. Calibrating the point spread function (PSF) is a fundamental part of weak gravitational lensing analyses. Even with corrected galaxy images, imperfect calibrations can introduce biases. We propose an analytical framework for quantifying PSF-induced systematics as diagnostics for cross-correlation measurements of weak lensing with density tracers; for example, galaxy-galaxy lensing. We show how those systematics propagate to physical parameters of the density tracers. Those diagnostics only require a shape catalog of PSF stars and foreground galaxy positions.
Methods. We considered the PSF-induced multiplicative bias, and introduced three second-order statistics as additive biases. We computed both biases for the weak-lensing derived halo mass of spectroscopic foreground galaxy samples; in particular, their effect on the tangential shear and fit halo mass as a function of stellar mass. In addition, we assessed their impact on the recently published black-hole – halo-mass relation for type I active galactic nuclei (AGNs).
Results. Using weak-lensing catalogs from the Ultraviolet Near Infrared Optical Northern Survey (UNIONS) and the Dark Energy Survey (DES), we find the multiplicative biases in the tangential shear to be less than 0.5%. No correlations between additive bias and galaxy properties of the foreground sample are detected. The combined PSF systematics affect low-mass galaxies and small angular scales; halo mass estimates can be biased by up to 18% for a sample of central galaxies in the stellar mass range of 9.0 ≤ log M*/M⊙ < 9.5.
Conclusions. The PSF-induced multiplicative bias is a subdominant contribution to current studies of weak-lensing – density cross-correlations, but might become significant for upcoming stage IV surveys. For samples with a low tangential shear, additive PSF systematics can induce a significant bias on derived properties such as the halo mass.
The effect of water level changes on the density of newly hatched European whitefish (Coregonus lavaretus (L.)) larvae in unregulated and regulated lakes
Authors: Väänänen Tuula , Marjomäki Timo J. , Ranta Tomi , Karjalainen Juha 
Published: October 2024

The effect of the water levels during the period from spawning to hatching of whitefish (Coregonus lavaretus (L.)) on the density of newly hatched larvae was examined from a 23-year time series. The density of larvae was estimated in four lakes with contrasting water level regulation regimes in Central Finland using depth zone stratified bongo and tube net sampling in 2000–2022 and 2008–2022. In the regulated Tehinselkä, larval density was also modeled as a function of the whitefish spawning stock, vendace stock indices, and water levels. Larger water level maximum drops during winter were observed in three regulated lakes (41–68 cm) than in the unregulated lake (35 cm). The average larval densities were highest in the unregulated Lake Southern Konnevesi and regulated Tehinselkä, with densities >20 individuals ha−1. The regulated lakes Ruotsalainen and Puula had lower average densities, <10 individuals ha−1. Significant synchrony in the inter-annual variation in the density time series was observed between Tehinselkä and S. Konnevesi as well as Tehinselkä and Ruotsalainen. None of studied water level variables were associated with larval density in any lake. Thus, the small-scale regulation in these Finnish lakes did not show any direct effects on the production of whitefish larvae. Our analysis did not provide information on the potential effects of water level regulation on later life. For example, it did not cover the impact on whitefish food resources or the abundance of competitors and predators regulating whitefish growth and mortality in the juvenile stage.