bluuebunny/crossref_metadata_2025_split huggingface dataset:
Predicting prognosis in patients with stroke treated with intravenous alteplase through blood pressure changes: A machine learning‐based approach
Authors: Fan Kaiting , Cao Wenya , Chang Hong , Tian Fei 
Published: October 2023

AbstractThe use of machine learning (ML) in predicting disease prognosis has increased, and researchers have adopted different methods for variable selection to optimize early screening for AIS to determine its prognosis as soon as possible. We aimed to improve the understanding of the predictors of poor functional outcome at three months after discharge in AIS patients treated with intravenous thrombolysis and to construct a highly effective prognostic model to improve prediction accuracy. And four ML methods (random forest, support vector machine, naive Bayesian, and logistic regression) were used to screen and recombine the features for construction of an ML prognostic model. A total of 352 patients that had experienced AIS and had been treated with intravenous thrombolysis were recruited. The variables included in the model were NIHSS on admission, age, white blood cell count, percentage of neutrophils and triglyceride after thrombolysis, tirofiban, early neurological deterioration, early neurological improvement, and BP at each time point or period. The model's area under the curve for predicting 30‐day modified Rankin scale was 0.790 with random forest, 0.542 with support vector machine, 0.411 with naive Bayesian, and 0.661 with logistic regression. The random forest model was shown to accurately evaluate the prognosis of AIS patients treated with intravenous thrombolysis, and therefore they may be helpful for accurate and personalized secondary prevention. The model offers improved prediction accuracy that may reduce rates of misdiagnosis and missed diagnosis in patients with AIS.
Gpr75 knockout mice display age‐dependent cone photoreceptor cell loss
Authors: Vasudevan Sreelakshmi , Samuels Ivy S. , Park Paul S.‐H. 
Published: October 2023

AbstractGPR75 is an orphan G protein‐coupled receptor for which there is currently limited information and its function in physiology and disease is only recently beginning to emerge. This orphan receptor is expressed in the retina but its function in the eye is unknown. The earliest studies on GPR75 were conducted in the retina, where the receptor was first identified and cloned and mutations in the receptor were identified as a possible contributor to retinal degenerative disease. Despite these sporadic reports, the function of GPR75 in the retina and in retinal disease has yet to be explored. To assess whether GPR75 has a functional role in the retina, the retina of Gpr75 knockout mice was characterized. Knockout mice displayed a mild progressive retinal degeneration, which was accompanied by oxidative stress. The degeneration was because of the loss of both M‐cone and S‐cone photoreceptor cells. Housing mice under constant dark conditions reduced oxidative stress but did not prevent cone photoreceptor cell loss, indicating that oxidative stress is not a primary cause of the observed retinal degeneration. Studies here demonstrate an important role for GPR75 in maintaining the health of cone photoreceptor cells and that Gpr75 knockout mice can be used as a model to study cone photoreceptor cell loss.image
Decision‐making in nursing research and practice—Application of the Cognitive Continuum Theory: A meta‐aggregative systematic review
Authors: O'Connor Tricia , Gibson Jo , Lewis Joanne , Strickland Karen , Paterson Catherine 
Published: October 2023

AbstractAimTo explore how the Cognitive Continuum Theory has been used in qualitative nursing research and to what extent it has been integrated in the research process using the Qualitative Network for Theory Use and Methodology (QUANTUM).BackgroundTheory, research and nursing are intrinsically linked, as are decision‐making and nursing practice. With increasing pressure on nurses to improve patient outcomes, systematic knowledge regarding decision‐making is critical and urgent.DesignA meta‐aggregative systematic review.MethodsDatabasesCINAHL, Medline, PsycINFO, Embase and PubMed were searched from inception until May 2022 for peer‐reviewed research published in English.Seven studies were included and assessed for methodological quality using the Joanna Briggs Institute checklist for qualitative research. A meta‐aggregative synthesis was conducted using Joanna Briggs methodology. The QUANTUM typology was used to evaluate the visibility of the Cognitive Continuum Theory in the research process.ResultsThe review identified five synthesised findings, namely: 1. the decision‐making capacity of the individual nurse, 2. nurses’ level of experience, 3. availability of decision support tools, 4. the availability of resources and 5. access to senior staff and peers. Only two of seven studies rigorously applied the theory. The included studies were mainly descriptive‐exploratory in nature.ConclusionThe transferability of the Cognitive Continuum Theory was demonstrated; however, evolution or critique was absent. A gap in the provision of a patient‐centric approach to decision‐making was identified. Education, support and research is needed to assist decision‐making.A new Person‐Centred Nursing Model of the Cognitive Continuum Theory has been proposed to guide future research in clinical decision‐making.Relevance to Clinical PracticeNurses make numerous decisions every day that directly impact patient care, therefore development and testing of new theories, modification and revision of older theories to reflect advances in knowledge and technology in contemporary health care are essential.
Localization of beta catenin across the domain of odontogenic lesions: A systematic review
Authors: Chatterjee Shreya , Devi Anju , Kamboj Mala , Narwal Anjali 
Published: October 2023

AbstractBackgroundCTNNB1 gene encodes beta catenin, a transcriptional activator of Wnt pathway involved in the pathogenesis of odontogenic lesions. Though located intramembranously, its translocation into cytoplasm and nucleus could trigger cell proliferation, inhibition of apoptosis, invasion and migration of the tumour cell.Materials and MethodsFive electronic databases including MEDLINE by PubMed, Google scholar, Scopus, Trip, Cochrane library and EMBASE until 1 January 2023 without period restriction were thoroughly searched. Those articles that identified CTNNB1 mutation and beta catenin in odontogenic lesions were included for review. Risk of bias was analysed for each study using QUADAS 2 tool and Review Manager 5.3 was used to output its result.ResultsThirty four published articles were included for data synthesis. A total of 1092 cases of odontogenic lesions were assessed for both CTNNB1 mutation and beta catenin expression. CTNNB1 mutation was observed in ameloblastoma, calcifying odontogenic cyst, calcifying cystic odontogenic tumour and all malignant odontogenic tumours. The beta catenin expression (nuclear and cytoplasmic) was maximum in odontogenic keratocyst and calcifying odontogenic cyst. The expression was variable in ameloblastomas, membranous in odontomas, calcifying cystic odontogenic tumour and nuclear in all malignant tumours.Discussion and ConclusionHigh recurrence of odontogenic keratocyst and aggressiveness of solid ameloblastoma and malignant odontogenic tumours could be associated with the nuclear translocation of beta catenin. Disparity between CTNNB1 mutation and beta catenin expression within odontogenic lesions suggests alternate routes of beta catenin activation. The review results support the unique localisation of beta catenin as a helpful diagnostic factor in the pathogenesis of odontogenic lesions.
Medium‐term antifungal effects of methylene blue versus flavin mononucleotide in the treatment of moderate toenail onychomycosis
Authors: Gómez Clara , Schuele Georg , Alberdi Enrique 
Published: October 2023

AbstractBackgroundMethylene blue (MB) and flavin mononucleotide (FMN)‐mediated photodynamic therapy (PDT) have demonstrated local antimicrobial effect, but no direct comparative study has been published so far for the treatment of toenail onychomycosis.ObjectivesTo directly compare the short and medium‐term efficacy of MB versus FMN as photosensitizers in PDT for toenail onychomycosis by applying them in a 40% w/w urea cream in two different dye concentrations.MethodsForty toenails with distal and lateral subungual moderate onychomycosis due to dermatophyte fungi were randomised to receive 10 weekly sessions of PDT mediated by four topical formulations including MB or FMN at two different concentrations: Group I: 0.1% w/w MB; Group II: 2% w/w MB; Group III: 0.1% w/w FMN; and Group IV: 2% w/w FMN. Photographs were used for onychomycosis severity index (OSI) estimation allowing clinical assessment at any point of the study. Microscopic and microbiological evaluations were carried out at baseline, 27‐ and 35‐week follow‐ups. Side effects were recorded along with patient satisfaction.ResultsAt week 27, mycological cure rates were 60%, 30%, 50% and 40% and complete cure rates were 0%, 20%, 10% and 20%, for Groups I, II, III and IV respectively. At week 35, mycological cure rates were 70%, 70%, 70% and 60% and complete cure rates were 30%, 50%, 70% and 30%, for Groups I, II, III and IV respectively. All cream formulations were safe and patients were fairly satisfied.ConclusionsResults of the present work confirm PDT as a therapeutic alternative for onychomycosis. Although all cream formulations were safe and effective, with a good degree of satisfaction, higher cure rates were obtained with 2% w/w MB cream and 0.1% w/w FMN cream.
Nitric oxide is involved in the regulation of guard mother cell division by inhibiting the synthesis of ACC
Authors: Zhou Lijuan , Yu Shuangshuang , Liu Yue , Wang Yanyan , Wen Yuanyuan , Zhang Zijing , Ru Yanyu , He Zhaorong , Chen Xiaolan 
Published: October 2023

AbstractA stoma forms by a series of asymmetric divisions of stomatal lineage precursor cell and the terminal division of a guard mother cell (GMC). GMC division is restricted to once through genetic regulation mechanisms. Here, we show that nitric oxide (NO) is involved in the regulation of the GMC division. NO donor treatment results in the formation of single guard cells (SGCs). SGCs are also produced in plants that accumulate high NO, whereas clustered guard cells (GCs) appear in plants with low NO accumulation. NO treatment promotes the formation of SGCs in the stomatal signalling mutants sdd1, epf1 epf2, tmm1, erl1 erl2 and er erl1 erl2, reduces the cell number per stomatal cluster in the fama‐1 and flp1 myb88, but has no effect on stomatal of cdkb1;1 cyca2;234. Aminocyclopropane‐1‐carboxylic acid (ACC), a positive regulator of GMC division, reduces the NO‐induced SGC formation. Further investigation found NO inhibits ACC synthesis by repressing the expression of several ACC SYNTHASE (ACS) genes, and in turn ACC represses NO accumulation by promoting the expression of HEMOGLOBIN 1 (HB1) encoding a NO scavenger. This work shows NO plays a role in the regulation of GMC division by modulating ACC accumulation in the Arabidopsis cotyledon.
Stitching a rights narrative: How Syrian women in Shatila use embroidery to express ideas about social justice
Authors: Verclyte Sofie , Destrooper Tine 
Published: October 2023

AbstractHuman rights can be seen as a means to improve people's lived realities. Yet the language and practice of human rights are not always moored in these realities. What happens to the meaning of human rights when these are expressed in (partly non‐verbal) ways that are deeply rooted in lived—embodied, material, and cultural—realities, and how does that practice transform ideas about rights? In this article, we describe how women from Syrian refugee communities living in the Shatila refugee camp in Beirut use the skilled practice of embroidery to express and negotiate what they consider to be their rights and what they are entitled to. In doing so, they foreground a deeply indivisible, multi‐layered, and multi‐perspectival understanding of justice and more specifically of how they understand their rights. These perspectives, we argue, are intrinsically rooted in the embodied, material, and cultural practice through which they emerge, and offer avenues for enriching human rights debates.
Daytime dads and do‐it‐all dads: Understanding lead‐dad families
Authors: Hagaman Natasha 
Published: October 2023

AbstractOne of the factors that perpetuates gender inequality is the inequitable division of household labor, and particularly the division of childcare labor. Even when women are employed outside the home, many remain primarily responsible for household duties and childcare. There is little research on the household division of labor and childcare in lead‐dad households. I use the term “lead dad” to refer to a father, with or without an outside job, who takes primary responsibility for the household and children. This research explores how different lead‐dad households operate, examining how two types of lead‐dad households handle childcare and household chores, and what this means for the mother's domestic workload. From interviews with married or cohabitating heterosexual parents of children under five where fathers do most of the childcare, I find that lead‐dad households come in two forms: some dads do‐it‐all and some do not (daytime dads). The key difference between do‐it‐all dads and daytime dads is that do‐it‐all dads take care of almost all household chores and childcare. Meanwhile, daytime dads' primary focus is on taking care of the kids while mom is at work. However, even in households where dads “do it all,” moms are still heavily involved in the cognitive labor required to operate a household (e.g., planning playdates and scheduling summer camps). These findings have important implications for the study of the household division of labor and parenting expectations of mothers and fathers, exemplifying how gendered expectations do not necessarily swap when lead‐parent roles are reversed.
Update on the role of genetic factors, environmental factors and allergens in canine atopic dermatitis
Authors: Hensel Patrick , Saridomichelakis Manolis , Eisenschenk Melissa , Tamamoto‐Mochizuki Chie , Pucheu‐Haston Cherie , Santoro Domenico ,   for the International Committee on Allergic Diseases of Animals (ICADA)
Published: October 2023

AbstractBackgroundCanine atopic dermatitis (cAD) is a common, complex and multifactorial disease involving, among others, genetic predisposition, environmental factors and allergic sensitisation.ObjectiveThis review summarises the current evidence on the role of genetic and environmental factors and allergic sensitisation in the pathogenesis of cAD since the last review by ICADA in 2015.Materials and MethodsOnline citation databases and proceedings from international meetings on genetic factors, environmental factors and allergens relevant to cAD that had been published between 2015 and 2022 were reviewed.ResultsDespite intensive research efforts, the detailed genetic background predisposing to cAD and the effect of a wide range of environmental factors still need more clarification. Genome‐wide association studies and investigations on genetic biomarkers, such as microRNAs, have provided some new information. Environmental factors appear to play a major role. Lifestyle, especially during puppyhood, appears to have an important impact on the developing immune system. Factors such as growing up in a rural environment, large size of family, contact with other animals, and a nonprocessed meat‐based diet may reduce the risk for subsequent development of cAD. It appears that Toxocara canis infection may have a protective effect against Dermatophagoides farinae‐induced cAD. House dust mites (D. farinae and D. pteronyssinus) remain the most common allergen group to which atopic dogs react. Currently, the major allergens related to D. farinae in dogs include Der f 2, Der f 15, Der f 18 and Zen 1.Conclusions and Clinical RelevanceCanine atopic dermatitis remains a complex, genetically heterogeneous disease that is influenced by multiple environmental factors. Further, well‐designed studies are necessary to shed more light on the role of genetics, environmental factors and major allergens in the pathogenesis of cAD.
THE QURʾĀN AND SCIENCE, PART I: THE PREMODERN ERA
Authors: Daneshgar Majid 
Published: October 2023

AbstractAs the first installment in a three‐part series on the Qurʾān and science, this article begins with the author's personal and scholarly experiences to demonstrate the importance of the twin trends of Qurʾānic scientific interpretation and Qurʾānic scientific miraculousness, including how both serve as Muslims theological tools. It then touches upon the close relationship between theology and scientific knowledge in the history of Islam. The main focus concerns how science is situated and defined in Islamic literature, with particular references to traditional Muslim commentaries and treatises. It also concerns the way Muslim exegetical figures and traditionalists are encouraged or discouraged from taking science into account based on the Qurʾān and prophetic traditions.
THE QURʾĀN AND SCIENCE, PART II: SCIENTIFIC INTERPRETATIONS FROM NORTH AFRICA TO CHINA, BENGAL, AND THE MALAY‐INDONESIAN WORLD
Authors: Daneshgar Majid 
Published: October 2023

AbstractThe second installment in a three‐part series on the Qurʾān and science, this article provides a systematic discussion of the scientific interpretation of the Qurʾān both inside and outside the Muslim world. This discussion reveals how Muslims’ interactions with Euro‐Americans have kept discourse on the Qurʾān and science alive. It also demonstrates how Muslims promoted this exegetical genre transregionally from the Middle East to Southeast Asia.
Subalgebras, subgroups, and singularity
Authors: Amrutam Tattwamasi , Hartman Yair 
Published: October 2023

AbstractThis paper is concerned with the noncommutative analog of the normal subgroup theorem for certain groups. Inspired by Kalantar and Panagopoulos (arXiv:2108.02928, 2021, 16), we show that all ‐invariant subalgebras of and are (‐)coamenable. The groups we work with satisfy a singularity phenomenon described by Bader et al. (Invent. Math. 229 (2022), 929–985). The setup of singularity allows us to obtain a description of ‐invariant intermediate von Neumann subalgebras in terms of the normal subgroups of .
Screening of new wheat cultivars originating from Kazakhstan for stem and leaf rust resistance genes using PCR markers
Authors: Kurymbayeva N. , Maulenbay A. , Kurmangali A. , Yskakova G. , Savin T. , Rsaliyev A. 
Published: October 2023

Leaf and stem rust that infect wheat lines are the most prevalent and damaging fungal diseases affecting the wheat production rates globally. One of the efficient and economically wise ways of controlling the disease progression is the breeding resistant wheat varieties. Use of molecular markers associated with resistance genes, might be useful for identifying the varieties, that carry the specific resistant genes. Sixty-four wheat cultivars and lines provided by domestic agricultural experimental stations were examined using DNA-markers for the presence of leaf (Lr) and stem (Sr) rust resistance genes. The reactions were carried out using eight pairs of different primers. Six Lr genes (Lr10, Lr13, Lr16, Lr19 and Lr39) responsible for wheat resistance were detected using PCR. The molecular marker detection demonstrated the presence of a combination of several Lr genes, particularly Lr16, Lr34 and Lr39 in the fifteen spring wheat accessions. Six varieties in the nursery of spring soft wheat from KarabAES, two varieties from AktAES (Ekada 113, Lin. 225/21g.) and seven varieties from NorthKazAES (435/Lut 2, 659/12, 486/Lut 22, 23/07, Erith 42/12, 453 SP-2/19) carried the combination these three genes.
Fluid Dynamic Behavior of Conventional and Pressure Relieving Brush Seals
Authors: Bowen Joshua P. , Bird Joshua J. , Cross Harry , Jenkins Matthew R. , Bowsher Aaron A. , Crudgington Peter F. , Sangan Carl M. , Scobie James A. 
Published: October 2023

Abstract
Brush seals consist of a static ring of densely packed, flexible, fine wire bristles that provide resistance to the flow. Pressure relieving brush seals can be employed to overcome issues such as hysteresis that affect seal durability by reducing friction between the bristle pack and back plate surface. The impact of such designs on the fluid dynamic behavior of brush seals was studied following a concomitant methodology that exploited the benefits of both engine representative and large-scale testing facilities. Leakage data were fitted using a porous medium model found in the literature to quantify viscous and inertial resistance coefficients. Shaft rotation was shown to cause a reduction in seal leakage and an increase in static pressure on the back plate surface. The pressure relieving back plates also resulted in increased static pressures at this location, causing a reduction in flow resistance that increased leakage through the porous bristle pack. Interrogation of the large-scale inter-bristle pressure field for the two back plate designs revealed the distributions of axial pressure diverged toward the rear of the bristle pack. The detail gathered using the large-scale study has been shown to be representative; hence, the insight is generically applicable to brush seals.
Axial Compressor Map Generation Leveraging Autonomous Self-Training Artificial Intelligence. Phase 2
Authors: Burlaka Maksym , Podlech Sascha , Moroz Leonid 
Published: October 2023

Abstract
This paper discusses a study performed by SoftInWay as part of a Phase II SBIR project funded by NASA. In contrast with the Phase I project (Burlaka and Moroz, 2023, “Axial Compressor Map Generation Leveraging Autonomous Self-Training Artificial Intelligence,” ASME J. Eng. Gas Turbines Power, 145(1), p. 011001) where three discrete compressors were considered, the Phase II study was focused on addressing the problem of axial compressor long development time and cost with the use of AI models capable of predicting the geometry and performance of various multistage axial compressors with multiple variable vanes. The applicability of the AI models to various compressors enables the opportunity to avoid iterations between engine cycle analysis and compressor design. In this paper, automated compressor design and performance generation workflows are described. The approach for autonomous selection of the architectures and hyperparameters of Machine Learning (ML) models is explained. The uncertainty quantification techniques are considered. The developed ML-powered methods for compressor geometry prediction are discussed. The ML models' accuracy values and representations of typical geometry and performance predictions are given. The utilization of the ML models in engine cycle analysis is discussed.