bluuebunny/crossref_metadata_2025_split huggingface dataset:
Abstract 445: Transradial Versus Transfemoral Access in Diagnostic Cerebral Angiography: A Comprehensive Systematic Review and Meta‐analysis of Clinical Outcomes and Complications
Authors: Hamouda A. 
Published: January 2025

Background
Diagnostic Cerebral Angiography (CA) is a relatively common procedure that provides detailed evaluation of the brain's blood vessels. With the growing preference for Transradial artery (TRA) access over Transfemoral artery (TFA) access, our review aims to compare clinical outcomes and complications associated with these two approaches.

Methods
We carried out a systematic review using PubMed, Embase, Web of Science, Scopus databases, following the Preferred Reporting Items for Systematic reviews and Meta‐Analyses (PRISMA) guidelines. Inclusion was limited to studies that exclusively compared TRA versus TFA approaches for cerebral diagnostic purposes.

Results

Our study included 27 studies encompassing a total of 12,806 patients. The TRA arm comprised 6,284 patients with a median age of 57.9 years (range: 13.6‐78.2), and 46.4% were male (range: 27.8%‐82%). The TFA arm included 6,522 patients with a median age of 59.0 years (range: 13.0‐79.3), and 44.8% were male (range: 20.7%‐78.4%). Our analysis revealed that the TFA group had a higher successful Cerebral Angiography (CA) rate (OR= 0.62, CI [0.40; 0.95], p=0.03), and lower crossover rate (OR: 2.85, CI [1.39; 5.84], p<0.01) compared to the TRA group. However, the TRA group demonstrated a significantly lower rate of total complications (OR: 0.52, CI [0.33; 0.82], p<0.01, I
2
=59%, p< 0.001) and shorter hospital length of stay (LOS) in hours ([MD]: ‐33.25, CI [‐51.40; ‐15.11], p< 0.001) compared to the TFA group. There were no significant differences between groups in terms of puncture time, procedural time, mean contrast dose, radiation exposure, and radiation dose.

Conclusion
The choice of access site for cerebral angiography depends on various factors, including facility protocol, provider preference, vascular anatomy, and patient preferences. Our review highlighted the superiority of the transfemoral artery approach in terms of success rates and lower crossover rates. However, transradial artery access may be preferred due to its association with lower complication rates and shorter hospital stays, aligning with patient‐centered outcomes.
Abstract 454: Use of Intravenous Heparin For Patients With Acute Ischemic Stroke Due to Subocclusive Intracranial Thrombus
Authors: Rodriguez W. , Kaur G. , Ganev Y. , Karickal J. , Chennu N. , Christopher K. , Linares G. , Wang F. 
Published: January 2025

Background
Sub‐occlusive thrombus in an intracranial artery is a rare cause of acute ischemic stroke, and there is limited data regards to its acute management. Historically, those patients had been treated with heparin drip and then transitioned to oral anticoagulation. We aim to analyze the effect of intravenous heparin in patients with acute ischemic stroke due to sub‐occlusive intracranial thrombus.

Method
We retrospectively reviewed patients with a diagnosis of acute ischemic stroke from 2019‐2023. We selected patients who met the inclusion criteria: 1) diagnosis of sub‐occlusive thrombus by neuroradiologist using Computed Tomography angiography (CTA), 2) acute treatment with heparin drip. We identified 18 patients with the diagnosis of sub‐occlusive thrombus. Good outcome at 90 days was defined as modified Rankin Score of ≤2, resolution of sub‐occlusive thrombus was evaluated with CTA at 6 months.

Results
Out of the 18 patients, 50% were females. The mean age was 62.7 years. The median duration of the heparin drip was 42.5 hours. The median NIHSS score on admission was 6. Of the 14 patients with a 90‐day mRS, 7 (50%) had a good outcome (mRS ≤2). In our study, 4 patients (22.2%) had recurrent ischemic stroke, one patient had a systemic hemorrhage, and two patients had an intracranial hemorrhage 10 days after the initial hospitalization. Thirteen patients (72.2%) were transitioned to apixaban, two patients (11.1%) to warfarin, one patient to rivaroxaban. Two were not able to transition secondary to mortality. Upon follow‐up, 39% (n=7) had resolution of thrombus on repeat imaging, 11 (61%) did not undergo repeat imaging.

Conclusion
The use of heparin drip in acute ischemic strokes associated with intracranial sub‐occlusive thrombus could be an effective and safe treatment. However, in our study, it was not a predictor of good outcome at 90 days. Further studies with bigger samples are needed to evaluate the effectiveness of intravenous heparin in those patients.
Larviculture of the freshwater prawn Macrobrachium spp. Spence Bate, 1868 (Decapoda, Palaemonidae): a comprehensive review
Authors: Taguemount Riyad 
Published: January 2025

Abstract
The freshwater prawns of the genus Macrobrachium Spence Bate, 1868, hold major potential for sustainable aquaculture intensification and diversification. Beyond the dominant giant river prawn M. rosenbergii (De Man, 1879), successful larviculture and domestication of additional species could boost production. However, inconsistent hatchery results have hampered the wider application and commercialization of cultivation protocols. This comprehensive review aims to analyse past larviculture research efforts to advance Macrobrachium farming practices. Several published studies documenting larviculture experiments on various Macrobrachium taxa are examined. Larval developmental patterns, optimal rearing salinity and temperature ranges, stocking densities, feeding regimes, and reported survival rates are compared within and among species. Significant inter- and intraspecific variability is apparent, highlighting the need for species-specific approaches. Past studies have applied generalized techniques derived from M. rosenbergii with varying success, further motivating the analytical review of findings. Key bottlenecks impeding consistent hatchery seed production are identified. In particular, knowledge gaps regarding larval nutritional needs, biofouling prevention, and weaning method optimization present ongoing challenges. By reconciling contradictory results and emphasizing biological nuances, this review distinguishes priorities for strengthening protocol development. Priorities include standardizing assessments, disseminating optimized techniques tailored to particular target species, and outlining future research directions. With reliable hatchery production, additional Macrobrachium species could be incorporated into polyculture or mono-crop systems, supporting livelihood diversification and sustainable intensification of aquaculture.
Women’s Leadership and Service in the Catholic Church in Africa: a Case Study of Women Catechists in the Tamale Ecclesiastical Province of Ghana
Authors: Dassah Emmanuel Zumabakuro , Nonterah Nora K. 
Published: January 2025

Abstract
This research investigates the experiences of female catechists within the Catholic Church in the Tamale Ecclesiastical Province of Ghana, highlighting the challenges encountered within a predominantly patriarchal and clerical institution. Unstructured, in-depth interviews were conducted with female catechists, women aspiring to engage in catechetical formation, and male catechists. This qualitative study shares light on the complexities inherent in their roles and the systemic barriers that impede participation. The findings indicate that patriarchal norms, limited access to education, and the pervasive impact of clericalism significantly hinders women’s participation in ministry. Clericalism, in particular, perpetuates gender biases by centralizing authority within a largely male clergy, thereby restricting women’s access to leadership positions. Despite these challenges, instances of resilience and optimism among female catechists were also identified, alongside recent initiatives by church leaders designed to promote greater inclusivity. This research emphasizes the need for collaborative strategies to eliminate clerical and patriarchal systems, promoting a more egalitarian church that fully recognizes and values the contributions of both men and women.
Antibacterial activity of fat from black soldier fly (Hermetia illucens) larvae against antibiotic resistant Campylobacter spp. strains
Authors: Silvan J.M. , Hurtado-Ribeira R. , Martin D. , Martinez-Rodriguez A.J. 
Published: January 2025

Abstract
In this study, the antibacterial effect of fats derived from black soldier fly larvae (BSFL) were evaluated against various antibiotic-resistant strains of Campylobacter jejuni and Campylobacter coli. BSFL fats with different free fatty acids (FFAs) contents were obtained based on the larvae’s processing conditions. Initially, antibiotic susceptibility testing revealed that all Campylobacter strains were resistant to at least one antibiotic, with two strains classified as multidrug-resistant. The antibacterial activity of the BSFL fats was directly correlated with their FFAs content. Fats obtained through freeze-drying and defatting via supercritical fluid extraction (SFE) exhibited the strongest antibacterial effects against Campylobacter spp., reducing bacterial growth by 4.1 to 5.6 log CFU/mL in C. jejuni and demonstrating bactericidal activity (reducing bacterial growth >6 log CFU/mL) against all C. coli strains. An analysis of the individual contributions of FFAs in BSFL fat revealed that lauric and linoleic acids were bactericidal (reducing bacterial growth >8 log CFU/mL), completely inhibiting the growth of C. jejuni and C. coli strains, while myristic, palmitic, and oleic acids showed no effect on Campylobacter growth. These findings suggest that BSFL fat, which has been shown to enhance broiler growth, could also serve as an effective strategy to combat Campylobacter spp. contamination in the food chain.
Learning Statistics with jamovi
Authors: Navarro Danielle , Foxcroft David 
Published: January 2025

Based on Danielle Navarro’s widely acclaimed and prize-winning book Learning Statistics with R, this elegantly designed textbook offers undergraduate students a thorough and accessible introduction to jamovi, as well as how to get to grips with statistics and data manipulation.
Lucid and easy to understand, Learning Statistics with jamovi covers the analysis of contingency tables, t-tests, correlation, regression, ANOVA and factor analysis, while also giving students a firm grounding in descriptive statistics and graphing. It includes learning aids for applying statistical principles using the jamovi interface, as well as embedded data files to accompany the book, and comprehensive chapters on probability theory, sampling and estimation, and null hypothesis testing.
Freely available in open access, Learning Statistics with jamovi is an ideal introduction for undergraduate and postgraduate students of psychology, as well as behavioural and health science students and anyone who needs to understand and use statistical analysis in their work.
4. Descriptive statistics
Authors: Navarro Danielle , Foxcroft David 
Published: January 2025

In this chapter, we delve into the fundamentals of descriptive statistics, a crucial step in data analysis that involves summarising datasets into comprehensible and concise forms. The chapter begins by exploring the rationale behind descriptive statistics and introduces a real-world dataset, afl.margins, derived from the 2010 Australian Football League season. Through practical illustrations using jamovi, readers learn about various measures of central tendency, including the mean, median, and mode, and their respective applications. The chapter highlights how these measures offer insights into the "typical" values within data, while also explaining when and why each measure is appropriate depending on the data scale. Additionally, the text underscores the significance of visual aids like histograms to enhance the interpretability of numerical summaries.
Further, the chapter explores measures of variability, such as range, interquartile range, variance, and standard deviation, each serving to describe the spread or dispersion of data. Detailed explanations and examples clarify their computation, interpretation, and relevance, emphasising practical considerations like robustness to outliers. The discussion extends to skewness and kurtosis, offering insights into asymmetry and tail thickness in data distributions. Readers are also introduced to z-scores, enabling standardised comparisons across variables. The chapter concludes with guidance on calculating descriptive statistics for subgroups and summarises the key concepts. This foundational knowledge sets the stage for the subsequent chapter on data visualisation, equipping readers with essential tools for effective data analysis.
5. Drawing graphs
Authors: Navarro Danielle , Foxcroft David 
Published: January 2025

This chapter explores the fundamental role of data visualisation in the analytical process, highlighting its dual purposes: as a tool for presenting information in an accessible and visually compelling manner, and as an aid to enhance understanding of the data during analysis. Beginning with an iconic example, the chapter revisits John Snow’s 1854 cholera map, illustrating the transformative power of effective visualisation in uncovering insights and driving impactful decisions. The discussion then transitions to practical guidance on creating graphs using the software jamovi, with an emphasis on simplicity and clarity. While jamovi offers robust default plotting capabilities, the chapter acknowledges its limitations for advanced customisation, directing readers towards tools like ggplot2 in R for more complex needs.
The chapter systematically introduces key visualisation types—histograms, boxplots, violin plots, and bar graphs—outlining their specific applications, strengths, and limitations. Detailed, step-by-step instructions are provided for generating each type of graph in jamovi, including tips for filtering data and refining visual outputs. The importance of interpreting these plots to detect patterns, distributions, or outliers is emphasised, alongside practical advice on exporting high-quality images for reports or presentations. Ultimately, the chapter underscores the centrality of visualisation in data analysis, offering readers both foundational knowledge and practical skills to effectively “show the data” and derive meaningful insights.
13. Comparing several means (one-way ANOVA)
Authors: Navarro Danielle , Foxcroft David 
Published: January 2025

This chapter delves into the foundational principles and applications of one-way ANOVA (Analysis of Variance), a pivotal statistical tool introduced by Sir Ronald Fisher in the early 20th century. Despite its name suggesting a focus on variances, ANOVA primarily investigates differences in means across multiple groups. Through the use of a clinical trial example involving three drugs—placebo, Anxifree, and Joyzepam—the chapter illustrates the mechanics of one-way ANOVA, highlighting its ability to discern whether observed differences in outcomes, such as mood improvements, are statistically significant. Readers are guided through the calculations underpinning the F-statistic, including between-group and within-group variability, and how these components inform hypothesis testing. The chapter also explores the practicalities of conducting ANOVA using jamovi, ensuring accessibility for researchers and students.
Building on the core functionality of one-way ANOVA, the chapter addresses essential topics like effect size computation, post hoc testing for multiple comparisons, and adjustments for violations of assumptions. Key assumptions such as homogeneity of variance, normality, and independence are discussed alongside diagnostic methods and remedies, such as the Welch ANOVA and non-parametric alternatives like the Kruskal-Wallis test. For designs involving repeated measures, the chapter introduces the Friedman test. Emphasis is placed on the practical interpretation of results, including effect sizes and adjusted p-values, fostering a comprehensive understanding of ANOVA's capabilities and limitations in real-world research contexts.
Development of the next-generation air quality prediction system in the Unified Forecast System framework: Enhancing predictability of wildfire air quality impacts
Authors: Huang Jianping , Stajner Ivanka , Montuoro Raffaele , Yang Fanglin , Wang Kai , Huang Ho-Chun , Jeon Chan-Hoo , Curtis Brian , McQueen Jeff , Liu Haixia , Baker Barry , Tong Daniel , Tang Youhua , Campbell Patrick , Grell Georg , Frost Gregory , Schwantes Rebecca , Wang Siyuan , Kondragunta Shobha , Li Fangjun , Jung Youngsun 
Published: January 2025

Abstract
The National Oceanic and Atmospheric Administration (NOAA) has developed an advanced regional air quality prediction system (AQPS) within the Unified Forecast System (UFS) framework to improve representations of wildfire emissions and their impacts on air quality predictions. This innovative system integrates the Environmental Protection Agency’s (EPA) Community Multiscale Air Quality (CMAQ) model as a column chemistry model with the UFS-based atmospheric model, operating in an online mode. The calculation of wildfire gas and particulate emissions relies on satellite-derived fire products, high-resolution Regional Hourly Advanced Baseline Imager (ABI) and Visible Infrared Imaging Radiometer Suite (VIIRS) Emissions (RAVE).
A period in June and July 2023 with Quebec Canadian wildfires, which severely impacted air quality in the United States (US), was chosen as a case study to assess the predictive capability of the UFS-AQM system. The UFS-AQM predictions of fine particulate (PM2.5) and ozone (O3) were evaluated against AirNow observations from June 15 to July 14, 2023. The results indicate a substantial improvement in PM2.5 predictions when compared to the previous operational forecast. Meanwhile, the system demonstrates a strong ability of predicting O3 exceedance events during the dissipation phase of the wildfire. Furthermore, the online system shows more realistic predictions of aerosol optical depth (AOD) as compared to the previous operational forecast and satellite retrieval data. Finally, this study outlines a plan for further advancing a comprehensive regional AQPS at NOAA.
Examining Tropical Cyclone Thermodynamic Structure with TROPICS Observations
Authors: Munsell Erin B. , Braun Scott A. , Greenwald Thomas , Bennartz Ralf , Blackwell William J. 
Published: January 2025

Abstract
This study examines the three-dimensional thermodynamic structure of a rapidly intensifying tropical cyclone (TC) through the utilization of synthetic retrievals based off of the specifications of NASA’s Time-Resolved Observations of Precipitation Structure and Storm Intensity with a Constellation of Smallsats (TROPICS) mission. Proxy TROPICS vertical profiles of temperature and water vapor mixing ratio generated from the Hurricane Nature Run (HNR1) are utilized to analyze the TC structure over a 10-day period that includes the HNR1 TC’s rapid intensification (RI) from a tropical storm to a major hurricane. Analyses are performed to assess how accurately TROPICS may be able to determine thermodynamic profiles both within the storm and in the environment by validating against the HNR1 model data. It is found that the TROPICS retrievals compare favorably with the HNR1 data at most heights and times with errors consistently less than the proposed mission requirements (2 K for temperature; 25% for humidity). In addition, the retrievals show the ability to qualitatively track extensive dry air that is present in the vicinity of the TC. Although a substantial dry bias is present within the storm region of the TC (between 0 and 200 km from the surface center) in the 350–550-hPa layer in the TROPICS retrievals, this bias is reduced when the retrievals associated with precipitating grid points are removed from the analyses. However, despite this filtering, a significant bias remains, which suggests that the TROPICS retrievals will likely lose accuracy in regions of stronger scattering.
A conceptual model for advanced/metastatic gastric or gastroesophageal junction cancer: a review of qualitative studies and results from patient interviews
Authors: Sowell France Ginchereau , de Milliano Thom , Brady Keri J. S. , Foglia Ginamarie , Sasane Medha , Bensfia Samira , Reaney Matthew 
Published: January 2025

Abstract

Background
Despite approvals of new first-line immunotherapies for advanced/metastatic gastric cancer/gastroesophageal junction cancer (aGC/GEJC), patients’ median survival is around 14 months and their health-related quality of life (HRQoL) is affected by disease-related symptoms and treatment-related side effects. Using a targeted literature review (TLR) and patient interviews, this study identified disease- and treatment-related concepts that are important to patients with aGC/GEJC and their HRQoL.

Methods
A TLR was conducted to identify primary qualitative studies from 2018 to 2021 on patients’ experiences with aGC/GEJC. The results, supplemented with the results of two previously identified studies from 2017, were used to develop a preliminary conceptual disease model of aGC/GEJC and an interview guide. Next, one-to-one concept elicitation interviews were conducted where patients with aGC/GEJC were asked about symptoms, impacts on daily life, experience of care, treatment expectations, and clinical trials. The conceptual model was refined using these patient experience data.

Results
Four studies selected from the TLR and the two previously summarized studies identified 47 symptoms (15 disease-related, 20 treatment-related, 12 disease- and treatment-related) and 35 impacts. Interviews with 20 patients identified 36 symptoms. The 12 most important symptoms (mentioned by ≥ 50% of patients; average disturbance ratings: ≥5, scale: 0 'not disturbing' to 10 'extremely disturbing') were: nausea, fatigue, temperature sensitivity, indigestion, weakness, diarrhea, vomiting, early satiety, swallowing difficulties, taste alterations, abdominal pain, general pain. Symptoms were mostly attributed to systemic treatments (chemotherapy, immunotherapy and targeted therapy), followed by surgery. Thirty-one impacts emerged from the interviews, the most common being emotional disturbances, impacts on daily activities and families, and requiring assistance from caregivers. Patients were mostly positive about their experience of care, willing to enroll in clinical trials, and keen to receive innovative treatments with few side effects. The final conceptual disease model details the symptoms and impacts of aGC/GEJC.

Conclusions
The conceptual model provides valuable data on signs/symptoms and impacts of aGC/GEJC affecting patients’ lives. This can guide the clinical outcome assessment strategy for the development of innovative treatments more comprehensively than input from physicians alone, to ensure treatments improve both patients’ survival and HRQoL. Interviews also help understand patients’ perspectives on clinical trials.