bluuebunny/crossref_metadata_2025_split huggingface dataset:
AI-powered libraries: enhancing user experience and efficiency in Nigerian knowledge repositories
Authors: Adewojo Akinade Adebowale , Amzat Omolara Basirat , Abiola Hamzat Saheed 
Published: December 2024

Purpose
This study explores the pivotal role of artificial intelligence (AI) in revolutionizing knowledge organization within Nigerian libraries. The purpose of this study is to assess the challenges faced by these libraries, propose strategic approaches for successful AI integration and highlight the potential benefits and future directions of this transformative journey.

Design/methodology/approach
This study uses a comprehensive review of existing literature, case studies and a qualitative analysis of challenges faced by Nigerian libraries. Strategies for AI integration are proposed based on targeted capacity building, collaborative partnerships and phased implementation approaches. The methodology also involves assessing the current landscape of AI in Nigerian academic libraries, examining applications and exploring the perceived impacts of AI on library services.

Findings
Nigerian libraries face challenges such as limited resources, outdated systems and diverse information that hinder traditional knowledge organization methods. The integration of AI offers dynamic solutions, streamlining administrative tasks, optimizing search algorithms and enhancing user engagement. The findings of this study emphasize the potential benefits of AI, including improved accessibility, searchability and long-term efficiency gains in library collections.

Originality/value
This research contributes to the existing literature by providing insights into the specific challenges faced by Nigerian libraries and proposing practical strategies for AI integration. This study emphasizes the transformative potential of AI in addressing immediate challenges and unlocking enduring benefits. The originality lies in the context-specific exploration of AI in Nigerian libraries, offering a roadmap for stakeholders to embrace technological advancements and position libraries as leaders in providing innovative knowledge services.
The incremental information of stock options in event studies: the Deepwater Horizon oil spill case
Authors: Diosdado Leobardo , Wallace Sarah , Parker Ronald , Lam Marco 
Published: December 2024

PurposeThis paper investigates whether trading activity in the derivative markets, specifically options, can offer incremental information and insights into the underlying stock’s valuation beyond what is reflected in the company’s current stock price. By incorporating options market data into the analysis of an economic event, the proposed multivariate model aims to evaluate whether certain derivative investors may have capitalized on information not yet incorporated into the stock market price.Design/methodology/approachThe existing capital markets’ literature typically considers stock prices and (abnormal) returns in response to economic events; thus, this paper examines alternative measures. This analysis introduces a multivariate regression model incorporating the put-call ratio as an independent variable and examining its association with stock prices.FindingsThis paper investigates whether trading activity in the derivative markets, specifically options, can offer incremental information and insights regarding the underlying stock’s valuation beyond what is reflected in the company’s current stock price. By incorporating options market data into the analysis of an economic event, the proposed multivariate model aims to evaluate whether certain derivative investors may have capitalized on information not yet incorporated into the stock market price.Research limitations/implicationsAccess to historical option market data is not readily available and is relatively expensive. Thus, the analysis was limited to the sole event of the 2010 BP Deepwater Horizon oil spill.Originality/valueThe introduction of including deviate market movements could be especially beneficial for an industry like oil and gas, where the product is a commodity, and the firm’s value is largely driven by its identifiable assets and proven oil reserves. In addition, this may provide management insight into how the market perceives actions during an economic event. Based on the put-call ratio, management may be able to predict how their actions will impact future company share prices in the market.
Assessing curriculum integration in higher education through academics, undergraduates and employers’ feedback: the case of some countries from six continents
Authors: Illahibaccus-Sona Shaima Banu , Abdullah Mohamad Ridhuan 
Published: December 2024

Purpose
This study aims to investigate the critical role of Curriculum Integration (CI) in higher education, addressing global concerns about university graduates’ readiness for the workforce. It explores the perspectives of undergraduates, academics and employers on CI across Asia, Africa, North America, South America, Europe and Australia.

Design/methodology/approach
Using a mixed-method approach, the research combines quantitative surveys with qualitative interviews to comprehensively analyze CI’s impact. Data analysis involved SPSS and thematic methods, ensuring validity through triangulation, member checking, pilot testing and sensitivity analysis. Ethical considerations included informed consent and confidentiality.

Findings
The study uncovers significant regional disparities in CI awareness and implementation, particularly between developed and developing regions. While CI’s benefits for holistic learning are widely acknowledged, few academics actively use it, citing barriers like time, funding and institutional resistance. Employers strongly support CI, highlighting its value in enhancing graduate employability skills, though regional differences demand localized approaches. Undergraduates prefer CI for its interactive, practical nature. The findings call for targeted faculty development and regional strategies to increase CI adoption, ultimately improving graduate employability.

Originality/value
This global study provides a replicable framework for evaluating interdisciplinary educational reforms. By comparing CI’s impact across diverse systems, it offers a model applicable to other pedagogical approaches, notably project-based or competency-based education, underscoring the importance of region-specific strategies in educational reforms.
Towards using virtual acoustics for evaluating spatial ecoacoustic monitoring technologies
Authors: Le Penru Neel P. , Heath Becky E. , Dunning Jamie , Picinali Lorenzo , Ewers Robert M. , Sethi Sarab S. 
Published: December 2024

Abstract

Small microphone arrays and sound‐source localisation algorithms are increasingly prevalent in the passive acoustic monitoring (PAM) of ecosystems. These technologies enable analysis of natural soundscapes' spatial features, yielding additional insights into biodiversity and ecosystem health. While many of these technologies have been evaluated in the field, there is a lack of controlled, repeatable methods to test them.

We developed an ambisonic virtual sound environment (VSE) for simulating real natural soundscapes to evaluate spatial PAM technologies. We validated this novel approach using a PAM recorder with a six‐microphone array, from which we extracted a typical suite of ecoacoustic metrics, including acoustic indices and avian species predictions and localisations from the software BirdNET and HARKBird, respectively. We first verified whether the VSE could replicate natural soundscapes well enough to test PAM technologies by comparing these metrics between field and VSE‐based recordings. To pilot the VSE as an environment for testing PAM hardware, we assessed how orientation impacts the six‐microphone array's performance by using the same suite of metrics to compare VSE recordings made with the array at various pitch angles. Finally, we piloted the VSE as a test platform for PAM software by investigating how BirdNET and HARKBird perform on bird calls added to the VSE‐replicated soundscapes.

While the VSE and field recordings had similarities in some metrics, including spectral composition and BirdNET predictions, ambisonics' perceptual bias and susceptibility to spatial aliasing limited the spatial analyses that could be undertaken. Our trials nonetheless revealed that device orientation impacts the performance of HARKBird and certain ecoacoustic indices, and that BirdNET and HARKBird perform best on louder, more directional bird calls.

Our results demonstrate the potential for this approach, but highlight limitations to using an ambisonics‐based VSE. We thus provide guidelines for the use and refinement of such systems towards more standardised, controlled benchmarking of PAM technologies, empowering practitioners to make more informed decisions on using these vital tools.
Plum pox virus: An overview of the potyvirus behind sharka, a harmful stone fruit disease
Authors: García Juan Antonio , Rodamilans Bernardo , Martínez‐Turiño Sandra , Valli Adrian A. , Simón‐Mateo Carmen , Cambra Mariano 
Published: December 2024

AbstractThe study of Potyvirus plumpoxi (plum pox virus, PPV) has a long history, beginning with its foundational description by Atanassof in 1932 in Bulgaria. Interest in the virus has significantly increased over the past decades, as evidenced by a rise in published articles, highlighting its importance in plant pathology. Research on PPV offers broader insights into the biology and pathology of the extensive Potyviridae virus family to which it belongs. The virus's large strain diversity and wide host range make it a key subject for research into plant–virus interactions, host adaptation and virus evolution. PPV causes sharka, the most damaging disease affecting stone fruit trees. Economic losses from sharka disease have recently been estimated at over €2.4 thousand million for the last 28 years. The significance of this disease is further amplified by the ease of aphid‐mediated transmission from infected plant material and the virus's ability to establish and spread to new regions, making it a global agricultural challenge. This review aims to provide a comprehensive overview of the various biological traits of PPV and will form the basis of an updated version on the Association of Applied Biologists Description of Plant Viruses for PPV.
In the Mix: Patterns of Warthog Herding Behaviour in Single‐ and Mixed‐Species Herds
Authors: Jørgensen Amalie Victoria , Stears Keenan , Schmitt Melissa H. 
Published: December 2024

ABSTRACTForming mixed‐species herds is a common antipredator behaviour of many African herbivores. Here, we quantify the degree to which the common warthog uses herding behaviour as a strategy to potentially reduce risk. We found that warthog occurred in mixed‐species herds ~50% of the time and that total herd size of mixed‐species herds was significantly larger than single‐species herds. We observed that impala—a preferred prey species for several carnivores—were warthog's most common heterospecific herd mate. Finally, within mixed‐species herds, warthog orientated themselves so that they were most commonly found to be surrounded by heterospecifics by 180°.
Temporal and Spatial Variation of the Human Placental Microbiota During Pregnancy
Authors: Liu Liping , Yin Tingting , Zhang Xin , Sun Lizhou , Yin Yin 
Published: December 2024

ABSTRACTProblemPreviously believed sterile, the placenta hosts distinct microbial species across various locations. This study aims to elucidate the temporal and spatial variations of placental microbiota throughout gestation, addressing gaps in current understanding.Method of StudyA case–control study at a single‐center compared microbial profiles in pregnant women delivering preterm (<37 weeks) or at term (>37 weeks) across placental sites: basal plate, fetal membranes, and placental villous. Microbial abundance and diversity were evaluated using QIIME and the R package “Phyloseq,” while Q‐PCR with specific primers validated absolute abundance in samples.ResultsWe found no alteration in bacterial communities based on delivery mode across all samples. Q‐PCR detected low‐abundance bacteria, notably enriched in preterm samples, especially in early preterm cases. Throughout gestation, bacterial composition varied, with increasing levels of Proteobacteria and Firmicutes observed in the placenta. Significant differences in bacterial profiles were noted across locations and gestational stages, with Ralstonia insidiosa consistently present in the basal plate throughout gestation. Species‐specific Q‐PCR confirmed the presence of Ralstonia and revealed an inverse relationship between Streptococcus agalactiae and pregnancy progression.ConclusionsThe placenta hosts its own microbiome, with distinct profiles observed between term and preterm samples. Further research is needed to clarify the impact of bacterial dysbiosis on preterm birth and develop methods to distinguish pathological bacteria from the natural microbiome.
DysRegNet: Patient‐specific and confounder‐aware dysregulated network inference towards precision therapeutics
Authors: Kersting Johannes , Lazareva Olga , Louadi Zakaria , Baumbach Jan , Blumenthal David B. , List Markus 
Published: December 2024

AbstractBackground and PurposeGene regulation is frequently altered in diseases in unique and patient‐specific ways. Hence, personalised strategies have been proposed to infer patient‐specific gene‐regulatory networks. However, existing methods do not scale well because they often require recomputing the entire network per sample. Moreover, they do not account for clinically important confounding factors such as age, sex or treatment history. Finally, a user‐friendly implementation for the analysis and interpretation of such networks is missing.Experimental ApproachWe present DysRegNet, a method for inferring patient‐specific regulatory alterations (dysregulations) from bulk gene expression profiles. We compared DysRegNet to the well‐known SSN method, considering patient clustering, promoter methylation, mutations and cancer‐stage data.Key ResultsWe demonstrate that both SSN and DysRegNet produce interpretable and biologically meaningful networks across various cancer types. In contrast to SSN, DysRegNet can scale to arbitrary sample numbers and highlights the importance of confounders in network inference, revealing an age‐specific bias in gene regulation in breast cancer. DysRegNet is available as a Python package (https://github.com/biomedbigdata/DysRegNet_package), and analysis results for 11 TCGA cancer types are available through an interactive web interface (https://exbio.wzw.tum.de/dysregnet).Conclusion and ImplicationsDysRegNet introduces a novel bioinformatics tool enabling confounder‐aware and patient‐specific network analysis to unravel regulatory alteration in complex diseases.
Long‐distance Friends and Collective Action in Fisheries Management
Authors: Smith Kristopher M. , Pisor Anne C. , Aron Bertha , Bernard Kasambo , Fimbo Paschal , Machano Haji , Kimesera Rose , Rubens Jason , Slade Lorna , Sobo Jumanne , Thani Ali , Mulder Monique Borgerhoff 
Published: December 2024

ABSTRACTMuch received wisdom in the conservation literature is that individual connections across community boundaries undercut natural resource management. However, when multiple communities access the same resource, these long‐distance relationships could generate interdependence and trust to motivate engagement in collective action to manage the resource. To test this, we interviewed 1317 people in 28 fishing villages in Tanzania about their participation in managing open‐access fisheries and their social relationships in each village accessing the fishery. People with more friends in other villages trusted more people in those villages and were more likely to participate in collective action to manage the shared fishery, such as reporting others for destructive fishing practices. These results show that long‐distance relationships may be a useful foundation upon which to build conservation efforts that cross community boundaries and bolster sustainable resource use.
Revolutionizing NSCLC Treatment: Immunotherapy Strategies for EGFR‐TKIs Resistance
Authors: Tian Jin , Shi Zhiqi , Zhao Lili , Liu Peng , Sun Xiaojun , Long Lin , Zang Jianhua , Xiao Jun 
Published: December 2024

ABSTRACTEpidermal growth factor receptor tyrosine kinase inhibitors (EGFR‐TKIs) are the standard treatment choice for advanced non‐small cell lung cancer (NSCLC) patients with EGFR mutations. EGFR‐TKIs have made significant progress in the treatment of advanced NSCLC patients, but drug resistance issues still inevitably arise. The mechanism of drug resistance and subsequent treatment has been current research challenge and priority. Immune checkpoint inhibitors (ICIs) are a new choice for late‐stage NSCLC patients without druggable molecular alterations. Currently, several studies have applied ICIs therapy for NSCLC patients with EGFR‐TKIs resistance and explored the potential efficacy of ICIs. This review elaborates on the current status of immunotherapy after EGFR‐TKIs resistance, including ICIs monotherapy, combined with EGFR‐TKIs, chemotherapy, antiangiogenic drugs, and other therapies.
Non‐invasive infrared thermography for screening, diagnosis and monitoring of skin cancer
Authors: Kesztyüs Dorothea , Bae Horim , Wilson Carolyn , Schön Michael P. , Kesztyüs Tibor 
Published: December 2024

SummaryThe incidence of skin cancer is rising continuously. The time of diagnosis is decisive for the morbidity and mortality risk of patients. An optimal screening procedure has yet to be established. Non‐contact imaging methods are of great interest but have not yet been sufficiently developed and investigated for large‐scale use. Compared to digital photography, infrared thermography offers the additional information of heat radiation from the skin surface, which correlates strongly with malignant changes. Literature on the current scientific status of screening, diagnosis and monitoring of skin cancer using thermographic procedures was identified in PubMed, Embase, and Google Scholar. From a technical and information technology point of view, infrared thermography is very well suited for use as a non‐invasive, cost‐effective, time‐saving, and easy‐to‐use screening instrument. However, there is still a lack of reliable evidence and practical implementation in 3D systems suitable for mass use. Research in this area should be intensified in order to develop, test and establish applicable systems on a large scale.
Prevalence of state‐owned enterprise and entry mode choice of foreign firms: Evidence from China
Authors: Li Tan , Lin Faqin , Zhou Mohan , Zhu Ting 
Published: December 2024

AbstractWe investigate the choice of entry mode between joint ventures (JVs) and wholly owned foreign enterprises (WOFEs) of foreign‐invested firms in China. Using firm data from 1998 to 2007, we find that foreign firms are more likely to choose JVs over WOFEs when the state influence measured by the prevalence of state‐owned enterprises (SOEs) in the target location is higher. The positive association between the probability of choosing JV and state influence is robust after using the “156 projects” as an instrument for SOE prevalence. Second, foreign firms are more inclined to form a JV with state capital rather than private capital, which provides supporting evidence that the role of local Chinese partners is to manage corporate–government relations. We then examine the performance of foreign‐invested firms in China and find that, compared with WOFEs, JVs indeed have higher total factor productivity (TFP) and TFP growth and benefit from higher income and profits.
Exploring the Effect of L2 Writing Teachers' Emotional Intelligence on Their Professional Well‐Being: The Mediating Role of Emotional Labour Strategies
Authors: Geng Feng , Zhou Nan , Yu Shulin 
Published: December 2024

ABSTRACTWith the increasing focus on the emotional nature of L2 writing instruction, chances have increased for L2 writing teachers to perform exquisite emotional labour in teaching writing knowledge and skills in the classroom, but our knowledge regarding the emotional labour strategies used by L2 writing teachers and their potential influence on their professional well‐being is quite limited. To fill this void, this study used survey data on 301 university L2 writing teachers across various parts of the Chinese mainland to investigate the relationship between their emotional intelligence and professional well‐being (i.e. teaching satisfaction, emotional exhaustion and personal accomplishment), with a particular focus on the specific mediating effect of various emotional labour strategies. Results showed that teachers' emotional intelligence was associated with their teaching satisfaction via a specific emotional labour strategy, the expression of naturally felt emotions, but not through the other strategies (i.e. surface acting and deep acting). Moreover, some specific dimensions of emotional intelligence, that is, others' emotional appraisal were related to L2 teachers' emotional exhaustion and personal accomplishment via surface acting. These findings highlighted the predictive effect of emotional intelligence and the mediating roles of emotional labour strategies in thriving L2 writing teachers' professional well‐being. This study may allow L2 writing teachers and teacher educators to better understand their emotions and use specific emotional labour strategies to improve their teaching effectiveness and professional well‐being.
What Are the Reported Classroom Management Strategies of a Sample of Novice Teachers in French‐Speaking Belgium, and What Do They Base Their Choices on?
Authors: Coen Constance , Bocquillon Marie , Baco Christophe , Vargas Eva Gonzalez , Delbart Laëtitia 
Published: December 2024

ABSTRACTClassroom management is one of the main difficulties encountered by teachers. One way of improving this situation is to implement classroom management strategies that have been validated by scientific research. The purpose of this research is to study the classroom management strategies declared by a sample of novice teachers, and the sources of information on which they say they base their choice. To this end, semi‐structured interviews were conducted with 42 French‐speaking Belgian novice teachers. These interviews were subject to thematic content analysis. The teachers report implementing certain classroom management strategies considered effective in the scientific literature, as well as practices that are less effective according to the scientific literature. To choose their strategies, they say they mainly rely on the advice of colleagues, examples suggested on social networks, and/or their initial training. The results of this study can be used to formulate ways of improving teacher training both in French‐speaking Belgium and more widely.