bluuebunny/crossref_metadata_2025_split huggingface dataset:
Benmelstobart plus anlotinib in patients with EGFR-positive advanced NSCLC after failure of EGFR TKIs therapy: a phase I/II study
Authors: Shi Meiqi , Chen Ping , Cui Bin , Yao Yuanhu , Wang Juanyi , Zhou Tong , Wang Li 
Published: October 2024

AbstractThe effect of immune‐based therapies on patients with epidermal growth factor receptor (EGFR)-positive advanced non-small cell lung cancer (NSCLC) resistant to EGFR tyrosine kinase inhibitor (TKI) therapy remains unclear. The ALTER-L038 study aimed to evaluate efficacy and safety of a chemotherapy-free combination of benmelstobart, an anti-programmed cell death ligand 1 antibody, and anlotinib, a small-molecule multi-target anti-angiogenic TKI, in EGFR-positive advanced NSCLC patients who progressed after EGFR TKI therapy. Patients were enrolled in a phase I/II study. In phase I (dose-escalation), patients received anlotinib (8, 10, 12 mg) plus benmelstobart (1200 mg). Recommended phase II dose, determined during phase I, was used in phase II dose-expansion cohort. Primary endpoints were maximum tolerable dose in phase I and progression-free survival (PFS) in phase II. At the data cutoff date (March 10, 2024), 55 patients were enrolled in phase II dose-expansion cohort. Median PFS of patients included in phase II cohort was 9.0 months, median overall survival was 28.9 months, objective response rate was 25.5%, disease control rate was 87.3%, and median duration of response was 19.8 months. Incidence of grade ≥3 treatment-related adverse events in study population was 25.5% (14/55), whereas grade ≥3 immune-related adverse events occurred in 10.9% (6/55) of patients. Benmelstobart plus anlotinib showed promising anti-tumor efficacy with tolerable safety profile, supporting the value of further development of this convenient chemotherapy-free regimen for patients with EGFR-positive advanced NSCLC who progressed after EGFR TKI therapy. Trial Registration: ChiCTR1900026273.
A Synthetic Dataset for Semantic Segmentation of Waterbodies in Out-of-Distribution Situations
Authors: Ioannou Eleftherios , Thalatam Sainath , Georgescu Serban 
Published: October 2024

AbstractIn the past decade, substantial global efforts have been devoted to the development of reliable and efficient solutions for early flood warning and monitoring. One of the most common strategies for tackling this challenge involves the application of computer vision techniques to images obtained from the numerous surveillance cameras present in urban settings today. While there are various datasets available for training and testing these techniques, none of them specifically addresses the issue of out-of-distribution (OoD) behavior. This issue becomes particularly critical when evaluating the reliability of these methods under challenging environmental conditions. Our work stands as the first attempt to bridge this gap by introducing a new, highly controlled synthetic dataset that encompasses the essential attributes required for analyzing OoD behavior. The very high correlation between the accuracy of artificial intelligence (AI) models trained on our synthetic dataset and models trained on real-world data proves our dataset’s ability to predict real-world OoD behavior reliably.
Multiple objectives optimization of injection-moulding process for dashboard using soft computing and particle swarm optimization
Authors: Moayyedian Mehdi , Qazani Mohammad Reza Chalak , Amirkhizi Parisa Jourabchi , Asadi Houshyar , Hedayati-Dezfooli Mohsen 
Published: October 2024

AbstractThis research focuses on utilizing injection moulding to assess defects in plastic products, including sink marks, shrinkage, and warpages. Process parameters, such as pure cooling time, mould temperature, melt temperature, and pressure holding time, are carefully selected for investigation. A full factorial design of experiments is employed to identify optimal settings. These parameters significantly affect the physical and mechanical properties of the final product. Soft computing methods, such as finite element (FE), help mitigate behaviour by considering different input parameters. A CAD model of a dashboard component integrates into an FE simulation to quantify shrinkage, warpage, and sink marks. Four chosen parameters of the injection moulding machine undergo comprehensive experimental design. Decision tree, multilayer perceptron, long short-term memory, and gated recurrent units models are explored for injection moulding process modelling. The best model estimates defects. Multiple objectives particle swarm optimisation extracts optimal process parameters. The proposed method is implemented in MATLAB, providing 18 optimal solutions based on the extracted Pareto-Front.
A deep investigation of the poorly studied open cluster King 18 using CCD VRI, Gaia DR3 and 2MASS
Authors: Ahmed Nasser M. , Bendary R. , Samir R. M. , Elhosseiny E. G. 
Published: October 2024

AbstractIn this paper, we re-estimate the astrometric and photometric parameters of the young open star cluster King 18 based on Gaia Data Release 3 (DR3), Two Micron All-sky Survey (2MASS) and VRI CCD observations using the f/4.9 Newtonian focus of 74-inch telescope at Kottamia Astronomical Observatory (KAO) in Egypt. King 18 is a poorly studied open star cluster, for which new results are found in the current study. In order to estimate the membership and determine all the astrophysical parameters of the cluster, we have used data from Gaia DR3 and KAO. The center, cluster radius, radial density distribution, color-magnitude diagrams, distance, age, and reddening of King 18 are calculated. Also, the luminosity and mass functions, the total mass and the relaxation time of the cluster are estimated. The slope value of the mass function ($$\alpha $$
α
) of King 18 is found to be 2.27± 0.17, which is comparable with Salpeter value. Our estimates for the average cluster age and the relaxation time are 224 ± 6.3 and 28.92 Myrs, respectively. This indicates that King 18 is dynamically stable and a relaxed cluster. The cluster distance modulus from Gaia, 2Mass and VRI observations has been determined to be 12.380 ± 1.320, 12.320 ± 0.107 and 12.280 ± 0.290 mag respectively, which corresponds to distances of 2992.26, 2910.72 and 2857.59 pc, respectively. These results are in good agreement within the error. Moreover the color excesses E(V–I), E(J–$$\hbox {K}_s$$

K
s

) and E($$\hbox {G}_{{BP}}$$

G

BP

–$$\hbox {G}_{{RP}}$$

G

RP

) are 0.850 ± 0.087, 0.380 ± 0.091 and 0.980 ± 0.130 respectively. Finally, the proper motions ($$\mu _{\alpha }$$

μ
α

cos$$\delta $$
δ
, $$\mu _{\delta }$$

μ
δ

), and parallaxes ($$\varpi $$
ϖ
) are $$-2.603 \pm 0.018$$

-
2.603
±
0.018

, $$-2.106 \pm 0.013$$

-
2.106
±
0.013

and 0.324 ± 0.040, respectively.
Increased efficiency of peripheral nerve regeneration using supercritical carbon dioxide-based decellularization in acellular nerve graft
Authors: Choi Soon Jin , Han Jeonghun , Shin Young Ho , Kim Jae Kwang 
Published: October 2024

AbstractAcellular nerve grafts (ANGs) are a promising therapeutic for patients with nerve defects caused by injuries. Conventional decellularization methods utilize a variety of detergents and enzymes. However, these methods have disadvantages, such as long processing times and the presence of detergents that remain on the graft. In this study, we aimed to reduce process time and minimize the risks associated with residual detergents by replacing them with supercritical carbon dioxide (scCO2) and compared the effectiveness to Hudson’s decellularization method, which uses several detergents. The dsDNA and the expression of MHC1 and 2 were significantly reduced in both decellularized groups, which confirmed the effective removal of cellular debris. The extracellular matrix proteins and various factors were found to be better preserved in the scCO2 ANGs compared to the detergent-ANGs. We conducted behavioral tests and histological analyses to assess the impact of scCO2 ANGs on peripheral nerve regeneration in animal models. Compared with Hudson’s method, the scCO2 method effectively improved the efficacy of peripheral nerve regeneration. Therefore, the decellularization method using scCO2 is not only beneficial for ANG synthesis, but it may also be helpful for therapeutics by enhancing the efficacy of peripheral nerve regeneration.
Racial disparities in Phase 1 COVID-19 vaccine shipments to Neighborhood sites in Pennsylvania by the Federal Retail Pharmacy Program
Authors: Holtzman Geoffrey S. , Yang Yukun , Louis Pierce , West Stephen G. , Kandaswamy Piranavakumar 
Published: October 2024

AbstractEarly racial disparities in COVID-19 vaccination rates have been attributed primarily to personal vaccine attitudes and behavior. Little attention has been paid to the possibility that inequitable vaccine distribution may have contributed to racial disparities in vaccine uptake when supplies were most scarce. We test the hypothesis that scarce vaccines were distributed inequitably using the shipping addresses of 385,930 COVID-19 vaccine doses distributed in the first 17 weeks of Pennsylvania’s Phase 1 rollout (December 14, 2020 through April 12, 2021). All shipments we analyze were allocated via the Federal Retail Pharmacy Program, a public-private partnership coordinated by the Centers for Disease Control and Prevention.Overall, White people had an average of 81.4% more retail pharmacy program doses shipped to their neighborhoods than did Black people. Regression models reveal that weekly vaccine allocations determined by pharmacy chains—rather than initial shipment and administration site decisions requiring state and federal approval—drove these effects. All findings remained consistent after controlling for neighborhood differences in income, population density, insurance coverage, number of pharmacies, and other social determinants of health.Our findings suggest that the private distribution of scarce public resources should be assessed for racial impact, regulated as public resources, and monitored continuously.
Mitigation of radiation-induced jejunum injuries in rats through modulation of the p53-miR34a axis using etoricoxib-loaded nanostructured lipid carriers
Authors: Hamed Noha Sayed , Khateeb Sahar , Elfouly Shady A. , Tolba Amina M. A. , Hassan Amal I. 
Published: October 2024

AbstractThe most widely used cancer therapy is radiation therapy, but radiation damage to healthy tissues, particularly the gastrointestinal (GI) system, frequently reduces its effectiveness. This study investigates whether etoricoxib-loaded nanostructured lipid carriers (Et-NLC) could help shield the rat jejunum from radiation damage. Gamma irradiation (6 Gy) was used to damage the jejunum of Wistar albino rats, and then Et or Et-NLC (10 mg/kg b.w.) was administered orally for 14 days. It was found that the amounts of glutathione S-transferase (GST), superoxide dismutase (SOD), and nitric oxide (NO) decreased after irradiation but increased after Et-NLC therapy. Molecular analysis showed radiation-induced expression of microRNA-34a (miR34a), which may be involved in cellular stress response. Et-NLC treatments modulated the expression of miR34a, suggesting possible regulatory roles. Western blot analysis revealed changes in P53, interleukin-6 (IL-6), interleukin-10 (IL-10), tumor necrosis factor-alpha (TNF-α), and cyclooxygenase-2 (COX-2) levels. Et-NLC treatments decreased TNF-α, IL-6, IL-10, and COX-2 levels, indicating anti-inflammatory actions. DNA fragmentation analysis revealed a decrease in apoptotic activity after Et-NLC treatments. A histopathological examination confirmed that Et-NLC treatments had attenuated radiation damage, which had improved vascularization and reduced inflammation. The findings show that Et-NLC is more effective than Et-alone at reducing damage to the jejunum caused by radiation by controlling inflammation, oxidative stress, and apoptotic activity.
Dimensionless fluctuations balance applied to statistics and quantum physics
Authors: Oliveira Marceliano , Valadares George , Rodrigues Francisco , Freire Márcio 
Published: October 2024

AbstractThis work presents a new method called Dimensionless Fluctuation Balance (DFB), which makes it possible to obtain distributions as solutions of Partial Differential Equations (PDEs). In the first case study, DFB was applied to obtain the Boltzmann PDE, whose solution is a distribution for Boltzmann gas. Following, the Planck photon gas in the Radiation Law, Fermi–Dirac, and Bose–Einstein distributions were also verified as solutions to the Boltzmann PDE. The first case study demonstrates the importance of the Boltzmann PDE and the DFB method, both introduced in this paper. In the second case study, DFB is applied to thermal and entropy energies, naturally resulting in a PDE of Boltzmann’s entropy law. Finally, in the third case study, quantum effects were considered. So, when applying DFB with Heisenberg uncertainty relations, a Schrödinger case PDE for free particles and its solution were obtained. This allows for the determination of operators linked to Hamiltonian formalism, which is one way to obtain the Schrödinger equation. These results suggest a wide range of applications for this methodology, including Statistical Physics, Schrödinger’s Quantum Mechanics, Thin Films, New Materials Modeling, and Theoretical Physics.
Mild atopic dermatitis is characterized by increase in non-staphylococcus pathobionts and loss of specific species
Authors: Delanghe Lize , De Boeck Ilke , Van Malderen Joke , Allonsius Camille Nina , Van Rillaer Tim , Bron Peter A. , Claes Ingmar , Hagendorens Margo , Lebeer Sarah , Leysen Julie 
Published: October 2024

AbstractAtopic dermatitis is the most common inflammatory skin condition with a severe negative impact on patients’ quality of life. The etiology of AD is complex and depends on age, genetics, the immune system, environmental factors, and the skin microbiome, with a key role for pathogenic Staphylococcus aureus in the development of severe AD. However, the composition of the skin microbiome in mild AD is understudied. Here, using metagenomic shallow shotgun sequencing, we showed that mild AD lesions did not show a significant difference in the diversity of the skin microbiome compared to samples from non-AD patients and that the relative abundance of S. aureus did not differ in these mild AD lesions. However, when we assessed other taxa, Mycobacterium ostraviense, Pedobacter panaciterrae_A and four Streptomyces species were identified with higher abundances in mild AD lesions and species of 15 genera were decreased in abundance. The highest fold decreases were observed for Paracoccus marcusii, Microbacterium lacticum, Micrococcus luteus, and Moraxella sp002478835. These microbiome compositional insights are a first step towards novel microbiome-based diagnostics and therapeutics for early intervention at the stage of mild AD and provide a path forward for the functional study of species involved in this often-overlooked patient population.
Comparison of snack characteristics by diet quality findings from a nationally representative study of Australian adolescents
Authors: Sisay Binyam Girma , Lacy Kathleen E. , McNaughton Sarah A. , Leech Rebecca M. 
Published: October 2024

AbstractSnacking is a common dietary behaviour among adolescents contributing to more than one quarter of their total energy intake; however, the relationship between snacks and diet quality remains unclear. Hence, this study aimed to examine the characteristics of snacks among adolescents with different levels of diet quality. Dietary data collected from a nationally representative sample of Australian adolescents (12–18 years old, n = 935) using one 24-hour dietary recall in the National Nutrition and Physical Activity Survey were analysed. Snacks were defined based on participant-identified eating occasions, and diet quality was assessed using the Dietary Guideline Index for Children and Adolescents (DGI-CA). Marginal means and proportion of snack characteristics including snack frequency, snack energy density (ED), and commonly consumed foods at snack from the five food groups and discretionary foods at snack across DGI-CA tertiles (highest tertile indicating high guideline adherence) were estimated for both boys and girls using linear regression and logistic regression. Differences in means were tested using the F-test. The results showed no significant differences in the mean frequency of snacks across tertiles of DGI-CA scores. The mean ED of snacks decreased as DGI-CA scores increased in both boys (lowest tertile = 8.4, 95% CI [7.1, 10.0] kJ/g, highest tertile = 6.3 [5.4, 7.4] kJ/g) and girls (lowest tertile = 9.0 [7.8, 10.3] kJ/g, highest tertile = 5.9 [5.1, 6.9] kJ/g). As diet quality improved, the proportion of adolescents consuming discretionary (i.e., unhealthy) foods and foods from the five food group foods as snacks decreased and increased, respectively. In conclusion, adolescents with higher diet quality consumed snacks with a lower ED while lower proportion of them consume discretionary foods, and higher proportion of them consume from the five food groups. Encouraging the consumption of foods from the five food groups with lower ED as snacks presents an opportunity to enhance adolescent diet quality.
Sex-specific single cell-level transcriptomic signatures of Rett syndrome disease progression
Authors: Sharifi Osman , Haghani Viktoria , Neier Kari E. , Fraga Keith J. , Korf Ian , Hakam Sophia M. , Quon Gerald , Johansen Nelson , Yasui Dag H. , LaSalle Janine M. 
Published: October 2024

AbstractDominant X-linked diseases are uncommon due to female X chromosome inactivation (XCI). While random XCI usually protects females against X-linked mutations, Rett syndrome (RTT) is a female neurodevelopmental disorder caused by heterozygous MECP2 mutation. After 6-18 months of typical neurodevelopment, RTT girls undergo a poorly understood regression. We performed longitudinal snRNA-seq on cerebral cortex in a construct-relevant Mecp2e1 mutant mouse model of RTT, revealing transcriptional effects of cell type, mosaicism, and sex on progressive disease phenotypes. Across cell types, we observed sex differences in the number of differentially expressed genes (DEGs) with 6x more DEGs in mutant females than males. Unlike males, female DEGs emerged prior to symptoms, were enriched for homeostatic gene pathways in distinct cell types over time and correlated with disease phenotypes and human RTT cortical cell transcriptomes. Non-cell-autonomous effects were prominent and dynamic across disease progression of Mecp2e1 mutant females, indicating that wild-type-expressing cells normalize transcriptional homeostasis. These results advance our understanding of RTT progression and treatment.
Predicting future hospital antimicrobial resistance prevalence using machine learning
Authors: Vihta Karina-Doris , Pritchard Emma , Pouwels Koen B. , Hopkins Susan , Guy Rebecca L. , Henderson Katherine , Chudasama Dimple , Hope Russell , Muller-Pebody Berit , Walker Ann Sarah , Clifton David , Eyre David W. 
Published: October 2024

Abstract
Background
Predicting antimicrobial resistance (AMR), a top global health threat, nationwide at an aggregate hospital level could help target interventions. Using machine learning, we exploit historical AMR and antimicrobial usage to predict future AMR.

Methods
Antimicrobial use and AMR prevalence in bloodstream infections in hospitals in England were obtained per hospital group (Trust) and financial year (FY, April–March) for 22 pathogen–antibiotic combinations (FY2016-2017 to FY2021-2022). Extreme Gradient Boosting (XGBoost) model predictions were compared to the previous value taken forwards, the difference between the previous two years taken forwards and linear trend forecasting (LTF). XGBoost feature importances were calculated to aid interpretability.

Results
Here we show that XGBoost models achieve the best predictive performance. Relatively limited year-to-year variability in AMR prevalence within Trust–pathogen–antibiotic combinations means previous value taken forwards also achieves a low mean absolute error (MAE), similar to or slightly higher than XGBoost. Using the difference between the previous two years taken forward or LTF performs consistently worse. XGBoost considerably outperforms all other methods in Trusts with a larger change in AMR prevalence from FY2020-2021 (last training year) to FY2021-2022 (held-out test set). Feature importance values indicate that besides historical resistance to the same pathogen–antibiotic combination as the outcome, complex relationships between resistance in different pathogens to the same antibiotic/antibiotic class and usage are exploited for predictions. These are generally among the top ten features ranked according to their mean absolute SHAP values.

Conclusions
Year-to-year resistance has generally changed little within Trust–pathogen–antibiotic combinations. In those with larger changes, XGBoost models can improve predictions, enabling informed decisions, efficient resource allocation, and targeted interventions.
Noise pollution from Arctic expedition cruise vessels: understanding causes, consequences and governance options
Authors: Mannherz Fabienne , Knol-Kauffman Maaike , Rafaly Vonintsoa , Ahonen Heidi , Kruke Bjørn Ivar 
Published: October 2024

AbstractSignificant increase in shipping in the Arctic has caught international and national attention. The rising presence of touristic expedition cruise vessels might describe a special case for noise as a marine pollutant while they seek exclusive opportunities to experience the Arctic first-hand. This interdisciplinary study develops a conceptual framework to investigate context-specific vessel noise cause-effect dynamics and how this knowledge can assist policymakers and industry in increasing environmental safety. The study comprehensively reviews noise-emitting activities from Arctic cruise expeditions and potential adverse consequences for Arctic endemic marine mammals. It further discusses governance options for mitigating these consequences. Internationally, legal adaptations in the shipping conventions MARPOL and SOLAS should recognise noise as harmful energy. This could facilitate the uptake of noise-level-based certification schemes in the Polar Code. These legal actions can be strengthened by extended collective self-governance and through introducing economic incentives at the port level.