bluuebunny/crossref_metadata_2025_split huggingface dataset:
How can an in vitro incompatibility of Trichoderma-based products and herbicides impact the parasitism and control of white mold (Sclerotinia sclerotiorum (Lib.) De Bary)?
Authors: Canuto da Silva Lindomar , de Faria Amanda Flausino , Guimarães Rafaela Araújo , Afridi Muhammad Siddique , de Medeiros Flavio Henrique Vasconcelos , de Medeiros Fernanda Carvalho Lopes 
Published: April 2024

AbstractThe integration of management methods for both diseases and weeds depends on the compatibility between the tools. Biological control represents an important strategy to cope with the integrated management of white mold (Sclerotinia sclerotiorum) through parasitism of sclerotia. However, its application in the field is more cost-effective if combined with the herbicide in a tank mix, as long as the products are compatible. Therefore, we aimed at (i) evaluating two compatibility test methodologies (constant exposure and different times) and (ii) two soybean crop seasons to infer the compatibility of Trichoderma-based products. In vitro bioassays were performed to assess the compatibility between herbicides (Haloxifope-p- methyl, Glyphosate N-ammonium salt, Fluasifope-p-butyl, Fomesafem, Chlorimuron ethyl and Imazapyc + Imazapyr) and two biocontrol agents (Trichoderma asperellum and Trichoderma harzianum). Thus, the recommended spray volume for each herbicide was added to the PDA culture medium (Potato-Dextrose-Agar) and then deposited in the center of the plate a disc of mycelium from each antagonist isolate (constant exposure). The tests with time of exposure were marked at times 0, 2, 4, 8 and 16 h (simulating tank mixing) and at the spp of each time were plated on PDA medium. For both tests, the mycelial growth and conidiogenesis of Trichoderma spp. were observed. The combination of herbicide and biocontrol was also tested in the field and sclerotia parasitism, white mold incidence and plant yield were assessed in two field trials. The constant exposure of the antagonists to herbicides revealed that no herbicide was compatible with the T. asperellum or T. harzianum. While in test, exposure time exhibited compatibility with either T. asperellum or T. harzianum, within a period of 2 to 8 h. Conclusively, the integration of biocontrol agents with the herbicide imazapique + imazapyr exhibited significant reductions in white mold disease incidence and conidia germination, along with effective parasitism of S. sclerotiorum and even the least compatible herbicide (glyphosate) resulted in significant reduction in the disease incidence and sustained yield when compared to the untreated control. Therefore, the integration of the biocontrol agent for white mold should always be considered, and the tank mixing of it with the herbicide represents a cost-effective alternative for the grower.
Digital Response to Physical Crises: The Role of an E-Health Platform in the 2023 Southern Turkey Earthquakes
Authors: Akbasli Izzet Turkalp , Serin Oguzhan 
Published: April 2024

Abstract
The catastrophic earthquakes that struck Southern Turkey in 2023 highlighted the pressing need for effective disaster management strategies. The unprecedented scale of the crisis tested the robustness of traditional healthcare responses and highlighted the potential of e-health solutions. Despite the deployment of Emergency Medical Teams, initial responders - primarily survivors of the earthquakes - faced an enormous challenge due to their lack of training in mass-casualty situations. An e-health platform was introduced to support these first responders, offering tools for drug calculations, case management guidelines, and a deep learning model for pediatric X-ray analysis. This commentary presents an analysis of the platform’s use and contributes to the growing discourse on integrating digital health technologies in disaster response and management.
How do language education researchers attend to quality in qualitative studies?
Authors: Mirhosseini Seyyed-Abdolhamid , Pearson William S. 
Published: April 2024

Abstract
The steady expansion in qualitative research in the area of language education over the last two decades indicates the growing recognition of its importance to investigating issues of language teaching and learning. Along with this recognition, understanding and assessing the quality of qualitative studies in this area has gained increasing significance. Addressing this concern, in this research synthesis, we qualitatively explore how 236 qualitative language education studies published in seven leading journals explicitly foreground the issue of ‘research quality’. We conducted a qualitative content analysis of how authors of these studies addressed the main quality concepts proposed by well-known frameworks of qualitative research quality. Our findings, presented as ten major themes, show that qualitative researchers' overt treatment of research quality is realised based on three distinct orientations: no explicit quality criteria, positivist views of quality, and interpretive quality conceptions. We discuss aspects of these orientations and their implications for qualitative research in language education.
Small‐Scale Field‐Aligned Currents of Intense Amplitude Resolved by the Swarm Satellites
Authors: Wang Simin , Xiong Chao , Zhou Yunliang , Wang Fengjue , Hu Yang , Huang Yuyang 
Published: April 2024

AbstractIn this study we used the Level‐2 product of field‐aligned currents (FACs) from the Swarm satellites, to check the distribution characteristics of small‐scale FACs (SSFACs) of intense amplitude. Data applied covers 9 years from December 2013 to April 2023. Based on the statistical analysis on the amplitude, the SSFACs in this study is defined with amplitude larger than 20 μA/m2, which is also by two orders larger than the well‐known large‐scale R1 and R2 FACs (about 0.2 μA/m2). Such an intense amplitude indicates that it should play an important role in the magnetosphere‐ionosphere coupling. The location of the SSFACs observed is general between 60°∼80° and −80°∼−60° magnetic latitude, which is coincidently inside the auroral oval. The occurrence of the SSFACs depends on both solar activity and geomagnetic activity, and the influence of geomagnetic activity is more important than that of solar activity. By further checking the simultaneous in situ plasma density measured by Swarm, we find that the SSFACs are always associated with clear plasma density fluctuations. This suggests that the SSFACs play an important role for causing the small‐scale plasma density irregularities at auroral latitude.
Ray‐Tracing Analysis for the Propagation of Saturn Narrowband Emission Within the Saturnian Magnetosphere
Authors: Wu Siyuan , Taubenschuss Ulrich , Ye Shengyi , Fischer Georg , Cecconi Baptiste , Wang Mengmeng , Tao Tao , Long Minyi , Lu Peng , Liu Yuqi , Kurth William S. , Jackman Caitriona M. , Zarka Philippe , Baskevitch Claire , Feng Xuedong 
Published: April 2024

AbstractThis study investigates the propagation characteristics of Saturn's Narrowband (NB) emissions using a 3D ray‐tracing code incorporating Saturn's magnetic field and electron density parameters. The potential source regions and propagation zones of the L‐O mode, Z mode and whistler mode NB emissions are distinguished. The L‐O mode NB emissions, generated along local electron plasma frequency surfaces through mode conversion, exhibit straight‐line propagation but undergo reflections between the ionosphere, the plasma torus, and the magnetosheath. The slot region, characterized by a lower electron density distributed around the plasma torus boundary, significantly influences emission propagation, potentially leading to trapping and depolarization. The 5 kHz Z mode NB emissions propagate and fill the trapping region delineated by lower cut‐off and upper hybrid resonance frequencies. In contrast, the 20 kHz Z mode NB emissions are primarily confined near source regions at the north and south edges of the plasma torus, with the possibility of escaping under variable plasma conditions.
FcRn regulates antigen presentation in dendritic cells downstream of DEC205-targeted vaccines
Authors: Macri Christophe , Paxman Matthew , Jenika Devi , Lin Xiao Peng , Elahi Zahra , Gleeson Paul A. , Caminschi Irina , Lahoud Mireille H. , Villadangos Jose A. , Mintern Justine D. 
Published: April 2024

AbstractDendritic cell (DC)-targeted vaccination is a new mode of antigen delivery that relies on the use of monoclonal antibodies (mAb) to target antigen to specific DC subsets. The neonatal Fc receptor (FcRn) is a non-classical Fc receptor that binds to immunoglobulin G (IgG) in acidified endosomes and controls its intracellular transport and recycling. FcRn is known to participate in the antigen presentation of immune complexes, however its contribution to DC-targeted vaccination has not previously been examined. Here we have investigated the role of FcRn in antigen presentation using antigen conjugated to IgG mAb which target specific DC receptors, including DEC205 and Clec9A expressed by the conventional DC 1 (cDC1) subset. We show that FcRn is expressed at high levels by cDC1, both at steady-state and following activation and plays a significant role in MHC I cross-presentation and MHC II presentation of antigens that are targeted to cDC1 via mAb specific for DEC205. This effect of FcRn is intrinsic to cDC1 and FcRn impacts the efficacy of anti-DEC205-mediated vaccination against B cell lymphoma. In contrast, FcRn does not impact presentation of antigens targeted to Clec9A and does not regulate presentation of cell-associated antigen. These data highlight a new and unique role of FcRn in controlling the immunogenicity of anti-DEC205-based vaccination, with consequences for exploiting this pathway to improve DC-targeted vaccine outcomes.
Tracking and tracing water consumption for informed water sensitive intervention through machine learning approach
Authors: Tesfay Abraha Abraha , Assefa Woldeamanuel Tibebu , Gebremariam Beyene Ephrem 
Published: April 2024

AbstractTo develop a water conscious strategy, it is critical to track and trace water from its source to the end users, understand water conservation behaviors, and identify the factors that influence water consumption. However, in developing nations, little research has been done to provide a quantitative picture of how water is consumed and transformed in urban households, as well as the water sensitive interventions needed to improve access to clean water. Hence, the main objective of the study was to determine the most significant residential water consumption variables and to predict residential water consumption in a way that can generate water consumption information for water sensitive intervention decision making using the case study of Adama city in Ethiopia. A combination of top down and bottom up data collection techniques were employed as the data collection instrument. Machine learning was integrated with spatial and socioeconomic analytic techniques to estimate daily household water consumption and identify the factors that significantly influence household water consumption. The results show that there is only “one source option” for the city’s clean water supply and that different water harvesting methods are not likely to be developed. The average daily water consumption per person is 69 liters which falls below the national standard of 80 liters allocated per person per day. The result reveals that the water distribution network covers only 45% of the city master plan. About 38% of the water demand is unmet and 30% of households only receive water once every three days or fewer. This shows that the city is experiencing physical and economic water scarcity. The results demonstrated that family size, housing quality, income, number of rooms, legal status of the parcel, supply reliability, climate, and topographical features are the most important factors in predicting residential water consumption. This study further demonstrates how well supervised machine learning models, such as the Random Forest Regression algorithm, can predict the household’s daily water consumption. The findings also showed that there is a need for significant improvements in water saving habits of the households. Another conclusion that can be drawn is that as long as the city’s business as usual water consumption practice doesn’t change, the water supply problem will worsen over time.
A folate inhibitor exploits metabolic differences in Pseudomonas aeruginosa for narrow-spectrum targeting
Authors: Chain Connor , Sheehan Joseph P. , Xu Xincheng , Ghaffari Soodabeh , Godbole Aneesh , Kim Hahn , Freundlich Joel S. , Rabinowitz Joshua D. , Gitai Zemer 
Published: April 2024

AbstractPseudomonas aeruginosa is a leading cause of hospital-acquired infections for which the development of antibiotics is urgently needed. Unlike most enteric bacteria, P. aeruginosa lacks enzymes required to scavenge exogenous thymine. An appealing strategy to selectively target P. aeruginosa is to disrupt thymidine synthesis while providing exogenous thymine. However, known antibiotics that perturb thymidine synthesis are largely inactive against P. aeruginosa.Here we characterize fluorofolin, a dihydrofolate reductase (DHFR) inhibitor derived from Irresistin-16, that exhibits significant activity against P. aeruginosa in culture and in a mouse thigh infection model. Fluorofolin is active against a wide range of clinical P. aeruginosa isolates resistant to known antibiotics. Metabolomics and in vitro assays using purified folA confirm that fluorofolin inhibits P. aeruginosa DHFR. Importantly, in the presence of thymine supplementation, fluorofolin activity is selective for P. aeruginosa. Resistance to fluorofolin can emerge through overexpression of the efflux pumps MexCD-OprJ and MexEF-OprN, but these mutants also decrease pathogenesis. Our findings demonstrate how understanding species-specific genetic differences can enable selective targeting of important pathogens while revealing trade-offs between resistance and pathogenesis.
KMT2C mutation as a predictor of immunotherapeutic efficacy in colorectal cancer
Authors: Ni Chunhua , Wang Xiaohong , Liu Shaoping , Zhang Junling , Luo Zhongguang , Xu Bei 
Published: April 2024

AbstractImmunotherapy had shown good antitumor activity in a variety of solid tumors, but low benefit in CRC, so there was an urgent need to explore new biomarkers. We evaluated the role of KMT2C using publicly available data from the Cancer Genome Atlas (TCGA) and Memorial Sloan Kettering Cancer Center (MSKCC). In addition, further analysis was performed in an internal cohort. Moreover, the mutant profiles of KMT2C was analyzed in a large CRC cohort. The relationship between clinical pathologic features and KMT2C were analyzed with using the two-sided chi-squared test or the Fisher exact test. Clinicopathologic characteristics associated with overall survival using Cox regression and the Kaplan–Meier method. We found that KMT2C-mutated CRC patients in the immunotherapy cohort had significantly improved OS compared with KMT2C WT patients (P = 0.013). However, this phenomenon did not exist in non-immunotherapy cohort. Our cohort validated the value of KMT2C mutations in predicting better clinical outcomes, including ORR (P < 0.0001) and OS (P = 0.010). Meanwhile, KMT2C mutation was associated with higher tumor mutation burden, MSI score, higher levels of immune-associated T cells, neutrophil, and M1-type macrophages. Our study suggested that KMT2C mutation might be a potential positive predictor for CRC immunotherapy.
Chemical eye injuries: a 10 year retrospective review of acute presentations and clinical outcomes in Auckland, New Zealand
Authors: Allen Natalie E. , Crawford Alexandra Z. , McGhee Charles N. J. , Meyer Jay J. 
Published: April 2024

AbstractTo assess the aetiologies, clinical characteristics, treatment regimens, and outcomes of acute chemical injuries treated at an emergency eye clinic. Retrospective, observational study of all cases of chemical eye injury that presented acutely to the Greenlane Clinical Centre in Auckland, New Zealand from 1 January 2012 through 31 December 2021. Patient demographics, activity at the time of injury, causative chemical, clinical characteristics of injury at presentation, severity (Dua) classification, admission and discharge best corrected visual acuity (BCVA), treatment regimen, time to epithelisation and number of follow-up appointments were recorded. In total, 1522 cases involving 1919 eyes were studied. The mean age was 40.6 ± 18.8 years and 65% were male. The majority of cases occurred at home (62%) and cleaning was the most common activity (38%). There were 1490 Grade I (98%), 22 Grade II (1.5%), 5 Grade III (0.3%), 1 Grade IV (0.07%), 0 Grade V, and 4 Grade VI (0.3%) cases. An epithelial defect was noted in 409 cases (26.9%), of which re-epithelialisation occurred within one week for 378 cases (92%) and within 30 days for 384 cases (94%). Moderate vision loss (BCVA ≤ 6/12) attributed to the injury occurred in 152 (10%), while severe vision loss (BCVA ≤ 6/60) occurred in 30 (2%). Lack of irrigation at the scene was associated with an increased risk of severe injury and longstanding visual impairment (p = 0.0001). Most acute chemical injuries are mild with good clinical outcomes. Although rare, severe injuries are associated with a lack of irrigation at the scene and worse visual outcomes.
Comprehensive analysis of different solvent extracts of Ferula communis L. fruit reveals phenolic compounds and their biological properties via in vitro and in silico assays
Authors: Nouioura Ghizlane , El fadili Mohamed , El Barnossi Azeddin , Loukili El Hassania , Laaroussi Hassan , Bouhrim Mohammed , Giesy John P. , Aboul-Soud Mourad A. M. , Al-Sheikh Yazeed A. , Lyoussi Badiaa , Derwich El houssine 
Published: April 2024

AbstractAlthough giant fennel is recognized as a “superfood” rich in phytochemicals with antioxidant activity, research into the antibacterial properties of its fruits has been relatively limited, compared to studies involving the root and aerial parts of the plant. In this study, seven solvents—acetone, methanol, ethanol, ethyl acetate, chloroform, water, and hexane—were used to extract the chemical constituents of the fruit of giant fennel (Ferula communis), a species of flowering plant in the carrot family Apiaceae. Specific attributes of these extracts were investigated using in silico simulations and in vitro bioassays. High-performance liquid chromatography equipped with a diode-array detector (HPLC–DAD) identified 15 compounds in giant fennel extract, with p-coumaric acid, 3-hydroxybenzoic acid, sinapic acid, and syringic acid being dominant. Among the solvents tested, ethanol demonstrated superior antioxidant activity and phenolic and flavonoid contents. F. communis extracts showed advanced inhibition of gram-negative pathogens (Escherichia coli and Proteus mirabilis) and variable antifungal activity against tested strains. Molecular docking simulations assessed the antioxidative, antibacterial, and antifungal properties of F. communis, facilitating innovative therapeutic development through predicted compound–protein interactions. In conclusion, the results validate the ethnomedicinal use and potential of F. communis. This highlights its significance in natural product research and ethnopharmacology.
The effect analysis of shape design of different charging piles based on Human physiological characteristics using the MF-DFA
Authors: Zhang Yusheng , Kang Yaoyuan , Guo Xin , Li Pan , He Hanqing 
Published: April 2024

AbstractWith the rapid development of new energy vehicles, the users have an increasing demand for charging piles. It is generally believed that the charging pile is a kind of practical product, and it only needs to realize the charging function. However, as a product, the shape design of the charging pile will directly affect the user experience, thus affecting product sales. Therefore, in the face of increasingly fierce market competition, when designing the shape of charging piles, it is necessary to adopt the traditional evaluation method and human physiological cognitive characteristics to evaluate the shape of charging piles more objectively. From the user’s point of view, using the electroencephalogram (EEG) of the user, with the help of the multifractal detrended fluctuation analysis (MF-DFA) method, this paper comprehensively analyzes the differences in emotional cognitive characteristics between two kinds of charging piles, namely, the charging pile with a curved appearance design and the charging pile with square appearance design. The results show that there are significant differences in human physiological cognitive characteristics between two kinds of charging piles with different shapes. And different shapes of charging piles have different physiological cognitive differences for users. When designing charging pile product shapes, human beings can objectively evaluate the product shape design according to the physiological cognition differences of users, so as to optimize the charging pile product shape design.
The potential for artificial intelligence to transform healthcare: perspectives from international health leaders
Authors: Silcox Christina , Zimlichmann Eyal , Huber Katie , Rowen Neil , Saunders Robert , McClellan Mark , Kahn Charles N. , Salzberg Claudia A. , Bates David W. 
Published: April 2024

AbstractArtificial intelligence (AI) has the potential to transform care delivery by improving health outcomes, patient safety, and the affordability and accessibility of high-quality care. AI will be critical to building an infrastructure capable of caring for an increasingly aging population, utilizing an ever-increasing knowledge of disease and options for precision treatments, and combatting workforce shortages and burnout of medical professionals. However, we are not currently on track to create this future. This is in part because the health data needed to train, test, use, and surveil these tools are generally neither standardized nor accessible. There is also universal concern about the ability to monitor health AI tools for changes in performance as they are implemented in new places, used with diverse populations, and over time as health data may change. The Future of Health (FOH), an international community of senior health care leaders, collaborated with the Duke-Margolis Institute for Health Policy to conduct a literature review, expert convening, and consensus-building exercise around this topic. This commentary summarizes the four priority action areas and recommendations for health care organizations and policymakers across the globe that FOH members identified as important for fully realizing AI’s potential in health care: improving data quality to power AI, building infrastructure to encourage efficient and trustworthy development and evaluations, sharing data for better AI, and providing incentives to accelerate the progress and impact of AI.