bluuebunny/crossref_metadata_2025_split huggingface dataset:
Performance of a Diflufenican-Containing Premixture in Dicamba-Resistant Soybean Systems
Authors: Woolard Matthew C. , Norsworthy Jason K. , Roberts Trenton L. , Barber L. Tom , Thrash Benjamin C , Sprague Christy L. , Godar Amar S. 
Published: November 2024

Abstract
Weeds belonging to the Amaranthus family are most problematic for soybean producers. With Palmer amaranth evolving resistance to multiple herbicides labeled for use in soybean, producers seek new sites of action to integrate into season-long herbicide programs. Bayer CropScience plans to launch a Convintro™ brand of herbicides, one being a premixture that will include diflufenican (WSSA Group 12), metribuzin (WSSA Group 5), and flufenacet (WSSA Group 15), for use preemergence (PRE) in soybean. Research trials were conducted in Fayetteville and Keiser, AR, and Holt, MI, in 2022 and 2023 to evaluate the premixture in a season-long program in a dicamba-resistant soybean system. A 0.17:0.35:0.48 of the diflufenican:metribuzin:flufenacet (DFF-containing) premixture was applied PRE with different combinations of glyphosate, glufosinate, dicamba, and acetochlor at 28 [early-postemergence (EPOST)] and 42 [late-postemergence (LPOST)] days after planting (DAP). At the EPOST timing, the DFF-containing premixture provided >90% Palmer amaranth and prickly sida control. However, common ragweed, common lambsquarters, morningglory ssp., and annual grass control was ≤80% at this timing. When the LPOST applications occurred, treatments that had already received an EPOST application controlled prickly sida, morningglory ssp., Palmer amaranth, and annual grasses greater than those that had not, indicating the PRE application of the DFF-containing premixture was not sufficient to provide control of the weed spectrum through 42 days after planting. By 70 days after planting, all programs provided ≥93% control of all weeds evaluated. Herbicide programs that utilized the DFF-containing premixture PRE fb EPOST fb LPOST controlled common ragweed, common lambsquarters, morningglory ssp., and annual grasses greater than the one pass postemergence systems. In addition, all herbicide programs evaluated reduced Palmer amaranth seed production by >99%. However, producers that plan to utilize the DFF-containing premixture may need two postemergence herbicide applications to obtain high levels of weed control throughout the growing season.
Is a higher body mass index associated with longer duration of survival with disability in frail than in non-frail older adults?
Authors: Watanabe Daiki , Yoshida Tsukasa , Watanabe Yuya , Yamada Yosuke , Kimura Misaka 
Published: November 2024

Abstract

Background/Objectives
This study investigated the hitherto unclear association of body mass index (BMI) with age at overall, disability, and disability-free survival in older adults with and without frailty.

Methods
This prospective cohort study enroled 10232 Japanese adults aged ≥65 years, who underwent follow-up for adverse events, from the Kyoto-Kameoka Study conducted from 2011–2016. BMI, calculated based on self-reported height and body weight, was classified into five categories: <18.5, 18.5–21.4, 21.5–24.9, 25.0–27.4, and ≥27.5 kg/m2. Frailty was assessed using the validated Kihon Checklist. The relationships between BMI and disability and mortality were analysed using multivariate Cox proportional hazards models and Laplace regression.

Results
During the 5.3-year median follow-up period (45472 person-years), 2348 (22.9%) incidences of disabilities occurred. After adjusting for confounders, including medical history and lifestyle, individuals in the lowest and highest BMI categories had a higher hazard ratio (HR) of disability [<18.5 kg/m2: HR: 1.31, confidence interval (CI): 1.16–1.49; ≥27.5 kg/m2: HR: 1.27, 95% CI: 1.08–1.49, p for non-linearity <0.001] compared with that of those with BMI = 21.5–24.9 kg/m2. In the 50th percentile differences in age at overall and disability-free survival, participants with BMI < 18.5 kg/m2 were more likely to die before disability incidence [survival with disability (overall survival – disability-free survival): −10.2 months]; those with BMI ≥ 27.5 kg/m2 had longer survival with disability (12.5 months). These relationships were more marked in the frailty-stratified model, where in the BMI ≥ 27.5 kg/m2 group, individuals with frailty survived longer with disability (27.2 months) than did individuals without frailty (6.2 months).

Conclusion
Higher BMI is associated with a longer duration of survival with disability among older adults, especially in those with frailty. Therefore, reversing frailty should be prioritised because individuals with frailty have a shorter probability of disability-free survival than do individuals without frailty, regardless of BMI.
Prenatal homelessness, food insecurity, and unemployment and adverse infant outcomes in a California cohort, 2007–2020
Authors: Ferrer Lucia , Chambers Christina , Katheria Anup , Nguyen Annie , Bandoli Gretchen 
Published: November 2024

Abstract
Objectives
Characterize the relationship between infant outcomes and prenatal homelessness, food insecurity and unemployment.

Study design
California live births between 22- and 44-weeks’ gestation comprised 6,089,327 pregnancies (2007–2020). Data were collected from linked Vital Statistics and hospital discharge records. Prenatal homelessness, food insecurity, and unemployment were classified as health-related social needs (HRSN) using International Classification of Disease codes in delivery records. Risk ratios for preterm birth, low birthweight, small for gestational age, neonatal intensive care unit admission, emergency department admission, rehospitalization, and death were estimated using log-linear Poisson regression adjusted for birthing person race, payer, and education.

Results
65.7 per 100,000 births had HRSN. These infants had a higher risk of preterm birth (aRR 2.7), low birthweight (aRR 2.7), SGA (aRR 1.5), NICU admission (aRR 3.5), and death (aRR 3.0).

Conclusions
HRSN increase the risk of infant morbidity and mortality but remain underreported in administrative records, making definitive conclusions difficult.
Integrating parent voices into research at the extremes of prematurity: what are we doing and where should we go?
Authors: Callahan Katharine P. , Katheria Anup C. , Luu Thuy Mai , Pearce Rebecca , Janvier Annie 
Published: November 2024

AbstractWhen a baby is born premature, a landscape of potential problems replaces an imagined future. Outcomes become the measures of success. Researchers are recognizing that we need the direct input of parents to select meaningful outcomes. In this article, we describe how researchers and clinicians in neonatology have historically defined outcomes and the limitations of these methods. We chart the integration of stakeholders—patients and parents—into outcomes selection. ‘Parent-important outcomes’ are those deemed most important by parents, as the voices of their children. We outline a path toward determining parent-important outcomes in neonatology through mixed methods research. We conclude by suggesting how parent-important outcomes can be integrated into neonatal follow up research and clinical trial design. Ultimately, all researchers of prematurity aim in some way to improve outcomes that parents and patients care about. We hope this article will remind us of this beacon.
Integrated proteomics and scRNA-seq analyses of ovarian cancer reveal molecular subtype-associated cell landscapes and immunotherapy targets
Authors: Tan Rong , Wen Ming , Yang Wenqing , Zhan Dongdong , Zheng Nairen , Liu Mingwei , Zhu Fang , Chen Xiaodan , Wang Meng , Yang Siyu , Xie Bin , He Qiongqiong , Yuan Kai , Sun Lunquan , Wang Yi , Qin Jun , Zhang Yu 
Published: November 2024

Abstract
Background
Epithelial ovarian cancer (EOC) represents the most lethal gynaecological malignancy, yet understanding the connections between its molecular subtypes and their therapeutic implications remains incomplete.

Methods
We conducted mass spectrometry-based proteomics analyses of 154 EOC tumour samples and 29 normal fallopian tubes, and single-cell RNA sequencing (scRNA-seq) analyses of an additional eight EOC tumours to classify proteomic subtypes and assess their cellular ecosystems and clinical significance. The efficacy of identified therapeutic targets was evaluated in patient-derived xenograft (PDX) and orthotopic mouse models.

Results
We identified four proteomic subtypes with distinct clinical relevance: malignant proliferative (C1), immune infiltrating (C2), Fallopian-like (C3) and differentiated (C4) subtypes. C2 subtype was characterized by lymphocyte infiltration, notably an increased presence of GZMK CD8+ T cells and phagocytosis-like MRC+ macrophages. Additionally, we identified CD40 as a specific prognostic factor for C2 subtype. The interaction between CD40+ phagocytosis-like macrophages and CD40RL+ IL17R CD4+ T cells was correlated with a favourable prognosis. Finally, we established a druggable landscape for non-immune EOC patients and verified a TYMP inhibitor as a promising therapeutic strategy.

Conclusions
Our study refines the current immune subtype for EOC, highlighting CD40 agonists as promising therapies for C2 subtype patients and targeting TYMP for non-immune patients.
Identification of PDLIM1 as a glioblastoma stem cell marker driving tumorigenesis and chemoresistance
Authors: Shen Xiaopeng , Zhao Yun , Cao Yang , Liu Yunfeng , Ruan Jian , Wang Chunguang , Li Meng , Jin Huaizhang , Lu Shan , Zhu Guoping 
Published: November 2024

AbstractGlioblastoma (GBM) is an aggressive brain tumor with a poor prognosis, largely due to the presence of glioblastoma stem cells (GSCs). These cells drive tumor progression, recurrence, and chemoresistance, making them critical targets for therapy. This study aims to identify novel GSC markers for improved diagnosis and targeted treatment. We utilized single-cell RNA sequencing (scRNA-seq) and bulk RNA-seq data to identify PDLIM1 as a novel GSC marker. PDLIM1 was specifically expressed in GSCs and was associated with poor prognosis and advanced tumor stages. Functional assays demonstrated that PDLIM1 overexpression enhanced GBM cell proliferation, reduced apoptosis, increased GSC proportions, and promoted chemoresistance and tumorigenesis. Conversely, PDLIM1 knockdown inhibited these processes. Mechanistically, PDLIM1 was found to exert its effects likely by promoting the PI3K-AKT pathway. In conclusion, PDLIM1 may serve as a potential marker of GSCs associated with poor prognosis, tumorigenesis, and chemoresistance in GBM, representing a potential therapeutic target for improving GBM patient outcomes.
Topographic and quantitative correlation of structure and function using deep learning in subclinical biomarkers of intermediate age-related macular degeneration
Authors: Birner Klaudia , Reiter Gregor S. , Steiner Irene , Deák Gábor , Mohamed Hamza , Schürer-Waldheim Simon , Gumpinger Markus , Bogunović Hrvoje , Schmidt-Erfurth Ursula 
Published: November 2024

AbstractTo examine the morphological impact of deep learning (DL)-quantified biomarkers on point-wise sensitivity (PWS) using microperimetry (MP) and optical coherence tomography (OCT) in intermediate AMD (iAMD). Patients with iAMD were examined by OCT (Spectralis). DL-based algorithms quantified ellipsoid zone (EZ)-thickness, hyperreflective foci (HRF) and drusen volume. Outer nuclear layer (ONL)-thickness and subretinal drusenoid deposits (SDD) were quantified by human experts. All patients completed four MP examinations using an identical custom 45 stimuli grid on MP-3 (NIDEK) and MAIA (CenterVue). MP stimuli were co-registered with corresponding OCT using image registration algorithms. Multivariable mixed-effect models were calculated. 3.600 PWS from 20 eyes of 20 patients were analyzed. Decreased EZ thickness, decreased ONL thickness, increased HRF and increased drusen volume had a significant negative effect on PWS (all p < 0.001) with significant interaction with eccentricity (p < 0.001). Mean PWS was 26.25 ± 3.43 dB on MP3 and 22.63 ± 3.69 dB on MAIA. Univariate analyses revealed a negative association of PWS and SDD (p < 0.001). Subclinical changes in EZ integrity, HRF and drusen volume are quantifiable structural biomarkers associated with reduced retinal function. Topographic co-registration between structure on OCT volumes and sensitivity in MP broadens the understanding of pathognomonic biomarkers with potential for evaluation of quantifiable functional endpoints.
Optimized robust learning framework based on big data for forecasting cardiovascular crises
Authors: Elseddeq Nadia G. , Elghamrawy Sally M. , Eldesouky Ali I. , Salem Mofreh M. 
Published: November 2024

AbstractNumerous Deep Learning (DL) scenarios have been developed for evolving new healthcare systems that leverage large datasets, distributed computing, and the Internet of Things (IoT). However, the data used in these scenarios tend to be noisy, necessitating the incorporation of robust pre-processing techniques, including data cleaning, preparation, normalization, and addressing imbalances. These steps are crucial for generating a robust dataset for training. Designing frameworks capable of handling such data without compromising efficiency is essential to ensuring robustness. This research aims to propose a novel healthcare framework that selects the best features and enhances performance. This robust deep learning framework, called (R-DLH2O), is designed for forecasting cardiovascular crises. Unlike existing methods, R-DLH2O integrates five distinct phases: robust pre-processing, feature selection, feed-forward neural network, prediction, and performance evaluation. This multi-phase approach ensures superior accuracy and efficiency in crisis prediction, offering a significant advancement in healthcare analytics. H2O is utilized in the R-DLH2O framework for processing big data. The main improvement of this paper lies in the unique form of the Whale Optimization Algorithm (WOA), specifically the Modified WOA (MWOA). The Gaussian distribution approach for random walks was employed with the diffusion strategy to choose the optimal MWOA solution during the growth phase. To validate the R-DLH2O framework, six performance tests were conducted. Surprisingly, the MWOA-2 outperformed other heuristic algorithms in speed, despite exhibiting lower accuracy and scalability. The suggested MWOA was further analyzed using benchmark functions from CEC2005, demonstrating its advantages in accuracy and robustness over WOA. These findings highlight that the framework’s processing time is 436 s, mean per-class error is 0.150125, accuracy 95.93%, precision 92.57%, and recall 93.6% across all datasets. These findings highlight the framework’s potential to produce significant and robust results, outperforming previous frameworks concerning time and accuracy.
Therapeutic potential of melatonin-pretreated human dental pulp stem cells (hDPSCs) in an animal model of spinal cord injury
Authors: Naeimi Arvin , Mousavi Seyedeh Fatemeh , Amini Naser , Golipoor Mandana , Ghasemi Hamidabadi Hatef 
Published: November 2024

AbstractDental pulp stem cells (DPSCs) show potential for treating neurodegenerative and traumatic diseases due to their neural crest origin. Melatonin (MT), an endogenous neurohormone with well-documented anti-inflammatory and antioxidant properties, has shown promising results with MSCs in terms of engraftment, proliferation, and neuronal differentiation in animal SCI models. However, the effects of melatonin preconditioning on human dental pulp stem cells (hDPSCs) for SCI treatment remain unclear. This study investigates the impact of melatonin preconditioning on hDPSCs engraftment, neural differentiation, and neurological function in rats with SCI. Forty-two male Sprague–Dawley rats were divided into six groups: Control, Sham, Model, Vehicle, Lesion Treatment A (SCI + hDPSCs), and Lesion Treatment B (SCI + MT-hDPSCs). After obtaining hDPSCs, stem cells were evaluated using flow cytometry. Cell viability was assessed using the MTT assay. SCI was induced in the Model, Vehicle, Lesion Treatment A, and Lesion Treatment B groups. The Lesion Treatment A and B groups received hDPSCs and hDPSCs pretreated with melatonin, respectively, 1 week after SCI, while the Vehicle group received only an intravenous injection of DMEM to simulate treatment. The other groups were used for behavioral testing. Immunohistochemistry (IHC) was employed to assess hDPSCs engraftment and differentiation at the SCI site. Motor function across the six groups was evaluated using the Basso, Beattie, and Bresnahan (BBB) score. Histological studies and cell counts confirmed hDPSCs implantation at the injury site, with a significantly higher presence in the MT-hDPSCs compared to hDPSCs (p < 0.01). IHC revealed that hDPSCs and MT-hDPSCs differentiated into neurons and astrocytes, with greater differentiation observed in the MT-hDPSCs compared to the hDPSCs (p < 0.01 and p < 0.05, respectively). Functional improvement was noted in both SCI + hDPSCs and SCI + MT-hDPSCs groups compared to SCI and Vehicle groups from Week 4 onward (p < 0.001). Significant differences were also observed between the SCI + hDPSCs and SCI + MT-hDPSCs groups starting from Week 7 (p < 0.01). Preconditioning hDPSCs with melatonin enhances engraftment, neuronal differentiation, and greater performance improvement compared to hDPSCs alone in the SCI animal model.
Magnetic hydrogel scaffold based on hyaluronic acid/chitosan and gelatin natural polymers
Authors: Abou-Okeil Ashraf , Refaei Rakia , Moustafa Shaimaa E. , Ibrahim Hassan M. 
Published: November 2024

AbstractOwing to their native extracellular matrix-like features, magnetic hydrogels have been proven to be promising biomaterials as tissue engineering templates In the present work, magnetic hydrogels scaffold based on chitosan, gelatin, hyaluronic acid, containing Fe3O4 as magnetic nanoparticles (IONPs) were prepared. The prepared hydrogels were loaded with ciprofloxacin hydrochloride as a model drug. The magnetic hydrogel was prepared using different volumes of chitosan, 1%, gelatin, 10%, and hyaluronic acid, 1% in glutaraldehyde as the crosslinking agent and Fe3O4 as magnetic nanoparticles. The hydrogel scaffold and magnetic scaffold hydrogel samples were characterized by scanning electron microscopy (SEM), vibrating sample magnetometry (VSM), and Fourier-transform infrared spectroscopy (FTIR). The porosity, mechanical properties, swelling degree, and antibacterial activity of the hydrogel scaffold were also determined as well as the drug release profiles of the hydrogels. SEM imaging revealed that the magnetic hydrogel scaffold showed a relatively rough morphology with an irregular surface. The data obtained indicated that the hydrogel surface has three-dimensional porous microstructures and the porosity varied depending on the hydrogel formulation. The breaking load of the hydrogel scaffold increased from 1.361 Kgf to 4.98 Kgf by increasing the glutaraldehyde concentration from 0.2 mL to 0.8 mL. Swelling degree values in water were from 250 to 2000% after 24 h. The antibacterial activity of the hydrogel scaffold ranged from 54% to about 97% for Gram-positive bacteria (S. aureus) and from about 26–92% for Gram-negative bacteria (E. coli). The ciprofloxacin hydrochloride loaded hydrogel has a sustained release of ciprofloxacin hydrochloride over 10 h. The presence of IONPs gave a faster release of ciprofloxacin hydrochloride.
Biochemical properties of immobilized horseradish peroxidase on ceramic and its application in removal of azo dye
Authors: Salah Hala A. , Elsayed Alshaimaa M. , Abdel-Aty Azza M. , Khater Gamal A. , El-Kheshen Amany A. , Farag Mohammad M. , Mohamed Saleh A. 
Published: November 2024

AbstractIn the current work, electrostatic interactions were used to immobilize the horseradish peroxidase (HRP) onto five types of ceramic materials (C) with different concentrations of oxidized metals (C1–C5). The highest immobilization efficiency (70 and 77%) was detected at 6 mg C3 and 18 enzyme units. Scanning Electron Microscope (SEM), Energy Dispersive X-ray (EDX) and Fourier Transform Infrared (FTIR) analysis of C3-HRP confirmed the immobilization of the enzyme. After ten reuses, the reusability analysis showed that (66%) of the C3-HRP enzyme activity was retained. For C3-HRP, the optimum pH and temperature of the soluble enzyme were shifted from 7.0 and 30 °C to 6.0 and 50 °C. Up to 40 °C and 50 °C, respectively, the soluble HRP and C3-HRP remained steady. The kinetic analysis revealed that the Km and Vmax of soluble HRP and C3-HRP were, respectively, 5.5 mM, 0.66 units, and 8 mM, 0.52 units for hydrogen peroxide (H2O2) and 35.5 mM, 3.4 units and 40 mM, 1.1 units for guaiacol. Compared to soluble-HRP, the C3-HRP exhibited a greater oxidizing affinity toward several phenolic compounds (Guaiacol, o-dianisidine, o–phenylenediamine, pyrogallol, p-aminoantipyrine). In comparison with soluble-HRP, the C3-HRP showed increased stress tolerance with Triton X-100, urea, metals, isopropanol, and dimethyl sulfoxide. The C3-HRP removed methyl orange more effectively compared to soluble-HRP.
Non-invasive multiple cancer screening using trained detection canines and artificial intelligence: a prospective double-blind study
Authors: Half Elizabeth , Ovcharenko Adelina , Shmuel Ronit , Furman-Assaf Sharon , Avdalimov Milana , Rabinowicz Assaf , Arber Nadir 
Published: November 2024

AbstractThe specificity and sensitivity of a simple non-invasive multi-cancer screening method in detecting breast, lung, prostate, and colorectal cancer in breath samples were evaluated in a double-blind study. Breath samples of 1386 participants (59.7% males, median age 56.0 years) who underwent screening for cancer using gold-standard screening methods, or a biopsy for a suspected malignancy were collected. The samples were analyzed using a bio-hybrid platform comprising trained detection canines and artificial intelligence tools. According to cancer screening/biopsy results, 1048 (75.6%) were negative for cancer and 338 (24.4%) were positive. Among the 338 positive samples, 261 (77.2%) were positive for one of the four cancer types that the bio-hybrid platform was trained to detect, with an overall sensitivity and specificity of 93.9% (95% confidence interval [CI] 90.3-96.2%) and 94.3% (95% CI 92.7%-95.5%), respectively. The sensitivity of each cancer type was similar; breast: 95.0% (95% CI 87.8-98.0%), lung: 95.0% (95% CI 87.8-98.0%), colorectal: 90.0% (95% CI 74.4-96.5%), prostate: 93.0% (95% CI 84.6-97.0%). The sensitivity of 14 other malignant tumors that the bio-hybrid platform was not trained to detect, but identified, was 81.8% (95% CI 71.8%-88.8%). Early cancer (0–2) detection sensitivity was 94.8% (95% CI 91.0%-97.1%). This bio-hybrid multi-cancer screening platform demonstrated high sensitivity and specificity and enables early-stage cancer detection.
Modelling indoor airborne transmission combining architectural design and people movement using the VIRIS simulator and web app
Authors: Xue Yidan , Jabi Wassim , Woolley Thomas E. , Kaouri Katerina 
Published: November 2024

AbstractA Viral Infection Risk Indoor Simulator (VIRIS) has been developed to quickly assess and compare mitigations for airborne disease spread. This agent-based simulator combines people movement in an indoor space, viral transmission modelling and detailed architectural design, and it is powered by topologicpy, an open-source Python library. VIRIS generates very fast predictions of the viral concentration and the spatiotemporal infection risk for individuals as they move through a given space. The simulator is validated with data from a courtroom superspreader event. A sensitivity study for unknown parameter values is also performed. We compare several non-pharmaceutical interventions (NPIs) issued in UK government guidance, for two indoor settings: a care home and a supermarket. Additionally, we have developed the user-friendly VIRIS web app that allows quick exploration of diverse scenarios of interest and visualisation, allowing policymakers, architects and space managers to easily design or assess infection risk in an indoor space.