bluuebunny/crossref_metadata_2025_split huggingface dataset:
Tabula Glycine: The whole-soybean single-cell resolution transcriptome atlas
Authors: Cervantes-Pérez Sergio Alan , Thibivilliers Sandra , Amini Sahand , Pelletier Julie M. , Meyer Ian , Xu Hengping , Tennant Sutton , Ma Pengchong , Sprueill Chandler M. , Farmer Andrew D. , Coate Jeremy E. , Nelissen Hilde , Yao Qiuming , Martin Olivier C. , Amézquita Erik J. , Goldberg Robert B. , Harada John J. , Libault Marc 
Published: July 2024

SummarySoybean (Glycine max) is an essential source of protein and oil with high nutritional value for human and animal consumption. To enhance our understanding of soybean biology, it is essential to have accurate information regarding the expression of each of its 55,897 protein-coding genes. Here, we present “Tabula Glycine”, the soybean single-cell resolution transcriptome atlas. This atlas is composed of single-nucleus RNA-sequencing data of nearly 120,000 nuclei isolated from 10 differentGlycine maxorgans and morphological structures comprising the entire soybean plant. These nuclei are grouped into 157 different clusters based on their transcriptomic profiles. Among genes, the pattern of activity of transcription factor genes is sufficient to define most cell types and their organ/morphological structure of origin, suggesting that transcription factors are key determinants of cell identity and function. This unprecedented level of resolution makes the Tabula Glycine a unique resource for the plant and soybean communities.
Direct RNA sequencing of theEscherichia coliepitranscriptome uncovers alterations under heat stress
Authors: Barrios Sebastian Riquelme , Camus Leonardo Vasquez , Cusack Siobhan A. , Burdack Korinna , Petrov Dimitar Plamenov , Yeşiltaç-Tosun G. Nur , Kaiser Stefanie , Giehr Pascal , Jung Kirsten 
Published: July 2024

ABSTRACTModifications of RNA, known as the epitranscriptome, affect gene expression, translation, and splicing in eukaryotes, with implications for developmental processes, cancer, and viral infections. In prokaryotes, regulation at the level of the epitranscriptome is still poorly understood. Here, we used Nanopore direct RNA sequencing ofEscherichia colito study RNA modifications and their changes under heat stress. With a single sequencing reaction, we detected most known modification types in rRNA, tRNA, and mRNA. RNA sequencing was complemented by a multifaceted approach that included mass spectrometry, deletion mutants, single-nucleotide PCR, andin vitromethylation. Known m5C and m6A sites in the rRNA were confirmed, but these types of modifications could not be localized in the mRNA. In response to heat stress, levels of m5C, m6A, and m6,6A increased in the 16S rRNA. Sequencing and mass spectrometry data demonstrated a decrease in tRNA modification abundance in the anticodon loop at 45 °C. In general, mRNA modifications at 37 °C were enriched in the coding regions of genes associated with general metabolism and RNA processing, which shifted to genes involved in cell wall synthesis and membrane transport under heat stress. This study provides new insights into the complexity of post-transcriptional regulation in bacteria.GRAPHICAL ABSTRACT
Biotin based Northern Blotting (BiNoB): A Robust and Efficient Alternative
Authors: Madhry Deeksha , Roy Riya , Verma Bhupendra 
Published: July 2024

AbstractAdvancements in sequencing technology have led to the emergence of diverse types of regulatory RNAs. Differential transcript levels regulate cellular processes and influence disease severity. Identifying these variations through reliable methods is crucial for understanding their regulatory roles and disease mechanisms. Northern blotting, which used to be considered the gold standard for differential expression analysis, poses challenges due to various limitations associated with RNA quality, integrity, radioactivity, reagents, and the expenses associated with it. In this study, we employed a biotin-based Northern blotting approach, BiNoB, which offers advantages over traditional methods. In this study, we comprehensively targeted various RNA types, making this technique a versatile tool for RNA detection. Additionally, we conducted a comparison between 3’-end labeled probes, which were labeled in-house, and 5’-end labeled probes, which were commercially obtained. Remarkably, the results revealed significantly increased sensitivity with 3’-end labeled probes. Furthermore, we prepared an in-house buffer and compared its performance with the commercially available ULTRAhyb buffer, which exhibited comparable sensitivity, indicating that the in-house buffer is a cost-effective alternative. Intriguingly, our findings showed that as little as 1µg of total RNA proved to be adequate for the detection of small RNAs like tRNAs and their derived fragments.
Evaluating the utility of ChatGPT to convert clinic letters into patient friendly language
Authors: Cork Simon C. , Hopcroft Keith 
Published: July 2024

AbstractCommunication with patients in language they understand leads to greater comprehension of treatment and diagnoses but can be time consuming for clinicians. Here we sought to investigate the utility of ChatGPT to translate clinic letters into language patients understood, without loss of clinical information. Twenty-three letters from a range of specialities were translated, resulting in no loss of clinical information. Subjective analysis from patient representatives revealed significantly increased understanding of treatment and diagnoses, increased satisfaction, and a significant decrease in the requirement to seek medical assistance in understanding their content when compared to original letters written to clinicians. Overall, we conclude that ChatGPT can be used to translate clinic letters into patient friendly language, and that these letters are preferred by patients.
Ongoing and planned Randomized Controlled Trials of AI in medicine: An analysis of Clinicaltrials.gov registration data
Authors: Andreoletti Mattia , Senkalfa Berkay , Blasimme Alessandro 
Published: July 2024

AbstractThe integration of Artificial Intelligence (AI) technologies into clinical practice holds significant promise for revolutionizing healthcare. However, the realization of this potential requires rigorous evaluation and validation of AI applications to ensure their safety, efficacy, and clinical significance. Despite increasing awareness of the need for robust testing, the majority of AI-related Randomized Controlled Trials (RCTs) so far have exhibited notable limitations, impeding the generalizability and proper integration of their findings into clinical settings. To understand whether the field is progressing towards more robust testing, we conducted an analysis of the registration data of ongoing and planned RCTs of AI in medicine available in theClinicaltrials.govdatabase. Our analysis highlights several key trends and challenges. Effectively addressing these challenges is essential for advancing the field of medical AI and ensuring its successful integration into clinical practice.
scKEPLM: Knowledge enhanced large-scale pre-trained language model for single-cell transcriptomics
Authors: Li Yang , Qiao Guanyu , Wang Guohua 
Published: July 2024

AbstractThe success of large-scale pre-trained language models in the Natural Language Processing (NLP) domain has encouraged their adoption in genomics and single-cell biology. Developing pre-trained models using the rapidly growing single-cell transcriptomic data helps to unravel the intricate language of cells. However, current single-cell pre-trained models primarily focus on learning gene and cell representations from extensive gene expression data, failing to fully comprehend the biological significance of the gene expression patterns and cell types they identify, which leads to limited interpretability and transferability. We propose scKEPLM, a knowledge-enhanced single-cell pre-training language model integrates a biology knowledge graph into the single-cell transcriptome pre-training process. scKEPLM covers over 41 million single-cell RNA sequences and 8.9 million gene relations. Through parallel pre-training of single-cell transcriptome sequences and genetic knowledge, combined with a Gaussian cross-attention mechanism, scKEPLM precisely aligns cell semantics with genetic information, to learn more accurate and comprehensive representations of single-cell transcriptomes. The introduction of knowledge enhancement has improved the identification of important genes in cells by scKEPLM, and greatly enriched the understanding of cell function and disease mechanism. The scKEPLM model has achieved state-of-the-art performance in more than 12 downstream tasks, including gene annotation, cell annotation, and drug response prediction, demonstrating strong generalization and transferability. Further exploration of the model’s interpretability demonstrates its adaptability to variations in gene expression patterns within cells under various physiological or pathological conditions.
Financial reporting quality dynamics in India: the role of IFRS convergence and corporate governance
Authors: Gomes Lorraine Rayelle , Costa Juao C. 
Published: July 2024

Purpose
This paper aims to investigate the impact of International Financial Reporting Standards (IFRS) convergence on value relevance and earnings management for Indian listed firms while also exploring whether the relationship is moderated by the firms’ corporate governance structures.

Design/methodology/approach
Corporate governance (CG) scores of 573 listed firms were calculated by using a self-constructed index for a period of 7 years (2014–2015 to 2020–2021). Static and dynamic panel models with generalized method of moments (GMM) estimators were used to test the conditional hypothesis that the impact of the Indian IFRS converged standards (Indian Accounting Standards [IndAS]) on information quality is affected by the firm’s corporate governance strength.

Findings
The estimates reveal that the positive effect of corporate governance scores on the value relevance of earnings reduces in the presence of IFRS, whereas the interaction of both the variables on book values remains insignificant. Secondly, the use of IndAS reduces discretionary accruals, but corporate governance does not have a significant moderating effect within the equation.

Practical implications
The results offer an interesting perspective into the debate on IFRS consequences and the role of internal institutional frameworks. It provides preliminary evidence suggesting that although corporate governance improves the value relevance of earnings, it may not be entirely effective in reducing the management of earnings.

Originality/value
To the best of the authors’ knowledge, it is the first study in India to provide empirical findings on the role played by corporate governance mechanisms in explaining the relationship between IFRS convergence and accounting information quality. The analysis accounts for modelling issues such as endogeneity and autocorrelation by using dynamic panel models and instrumental variables.
Investment efficiency, ESG performance and corporate performance: evidence from Chinese listed enterprises
Authors: Gao Daquan , Li Songsong , Zhou Yan 
Published: July 2024

Purpose
This study aims to propose a moderated mediation model to investigate the moderating effects of environmental, social and governance (ESG) performance on the relationship between inefficient investment and firm performance and the mediating effect of firms that participate in institutional research on the relationship between investment efficiency and performance. This study also analyses the heterogeneity of the corporate nature, intensity of industrial research and development (R&D), industrial competition and regional marketization.

Design/methodology/approach
This study uses a panel data fixed-effects model to conduct a regression analysis of 1,918 Chinese listed firms from 2016 to 2020. A Fisher’s permutation test is used to examine the differences between state-owned and nonstate-owned firms.

Findings
Inefficient investment negatively impacts corporate performance and higher ESG performance exacerbates this effect by attracting more institutional research which reveals more problems. State-owned enterprises perform significantly better than nonstate-owned enterprises in terms of ESG transformation. Industrial R&D intensity, competition and regional marketization also mitigate the negative effects of inefficient investment on corporate performance.

Practical implications
This study suggests that companies should consider inefficient investments that arise from agency issues in corporate ESG transformation. In addition, state-owned enterprises in ESG transformation should take the lead to achieve sustainable development more efficiently. China should balance regional marketization, encourage enterprises to increase R&D intensity, reduce industry concentration, encourage healthy competition and prevent market monopolies.

Originality/value
This study combines the agency and stakeholder theories to reveal how inefficient investments that arise from agency issues inhibit value creation in ESG initiatives.
Transforming stench to scent – the case of Phool.Co.
Authors: Tiwari Neha , Gupta Vibhuti , Sharma Sheetal 
Published: July 2024

Learning outcomes
After completion of the case study, students will be able to decipher key concepts underpinning sustainable entrepreneurship and its application in the recognition and exploitation of sustainable business opportunities, decipher the application of circular economy business models, understand the pivots to achieve the billion-dollar valuation and analyse the strategies for value creation during the pivoting journey of a startup.

Case overview/synopsis
The case study traces the journey of Phool.Co, a sustainable biomaterial startup based in a Tier II city of Kanpur located in the state of Uttar Pradesh, India, by Ankit Agarwal in 2017. Agarwal started with the vision of providing solution to the effects of water pollution and environmental damage. Ganga is not just a river, rather it is the symbol of cultural and religious faith in India. Although the river Ganga is considered a deity in India, it is one of the most polluted rivers. Every year 8,000,000 metric tonnes of waste flowers are dumped into the sacred river to pollute it further. The pollution poses grave dangers to the health and livelihood of millions of Indians. Phool.Co is a sustainable enterprise that has pioneered flower cycling technology. The dumped flowers are recycled to produce organic incense sticks, Florafoam, and “Fleather – the organic alternative to leather”. The case study traces the genesis of Phool.Co and its approach towards sustainability in the context of the circular economy. The case study primarily explores the pivot points for a startup to enter the unicorn club in the present context. To achieve the desired valuation, Agarwal must decide to rethink its business model. Will franchise model work for Phool.Co? Should Agarwal scale up with commercialization of Florafoam to capitalize the opportunity in packaging industry? Vegan leather is a nascent market and how will the consumers respond to Fleather is a pertinent question. The case study attempts to explore the challenges encountered in augmenting the valuation of sustainable enterprises.

Complexity academic level
This case study is suitable for graduate and postgraduate students enrolled in courses related to entrepreneurship, innovation and sustainability. The case study is of intermediate-level difficulty. There are no specific prerequisites to understand the case.

Supplementary materials
Teaching notes are available for educators only.

Subject code
CSS 3: Entrepreneurship.
Analysing FDI inflow effects on CO2 emissions: a comparative study of OECD and BRICS nations with PHH and PHE models
Authors: Sreenu Nenavath 
Published: July 2024

Purpose
The purpose of this study is to explore the correlation between foreign direct investment (FDI) and carbon dioxide (CO2) emissions in emerging economies, with a particular emphasis on Brazil, Russia, India, China and South Africa (BRICS) countries along with 10 the Organization for Economic Cooperation and Development nations.

Design/methodology/approach
This study uses quantitative research methods and econometric analysis to investigate the relationship between FDI inflows and CO2 emissions in selected countries. Specifically, the research concentrates on assessing the impact of FDI on CO2 emissions within the BRICS countries. By examining data spanning from 2000 to 2003, the study aims to shed light on the interaction between economic integration and environmental sustainability dynamics on a global scale.

Findings
The results of this study highlight notable contributors to CO2 emissions within the BRICS countries, identifying Switzerland, Denmark and the UK as significant sources. These findings support the notion of a pollution haven, underscoring the influence of FDI in moulding environmental outcomes in developing economies.

Research limitations/implications
Drawing from the study’s outcomes, suggestions are put forth to foster sustainable development strategies. It is recommended that BRICS nations prioritize the attraction of environmentally aware FDI to bolster efforts aimed at mitigating environmental harm.

Originality/value
This study adds to the ongoing discussion surrounding sustainable development by offering a concentrated analysis of how FDI influences CO2 emissions within BRICS countries. Its novelty lies in questioning traditional assumptions about environmental accountability and emphasizing the necessity for cooperative endeavours between emerging and developed economies to effectively tackle global environmental issues.
Energy poverty and developments in finance, economic complexity and economic conditions
Authors: Ashena Malihe , Shahpari Ghazal 
Published: July 2024

Purpose
Energy poverty presents substantial challenges for both developed and developing nations, with the latter experiencing more pronounced adverse effects due to issues related to the provision and equitable access of energy resources. This study aims to provide a deep understanding of how financial development, economic complexity and government expenditures can impact energy poverty.

Design/methodology/approach
This research employs generalized method of moments (GMM) estimation on panel data to investigate the economic determinants of energy poverty in 31 developing countries from 2000 to 2020. For a comprehensive analysis, the proxies for energy poverty include access to electricity, access to clean fuels and energy consumption.

Findings
The findings suggest that while financial development cannot facilitate access to clean fuels in developing countries, it contributes to an increase in energy access and consumption. Another finding is that energy poverty can be alleviated by enhancing economic complexity since economic complexity can result in increased access to electricity and increased use of clean energy sources. Furthermore, the results underscore the pivotal role of government expenditures, surpassing the influence of financial development. In other words, government expenditures have the potential to significantly improve energy poverty across all three indices.

Originality/value
This is a pioneering research that seeks to examine some economic dynamics including, financial development and economic complexity on energy poverty and provide valuable guidance for policymakers aiming to promote sustainable energy development with respect to economic dynamics.
Access to environmental information in Sweden in the context of principles of good administration
Authors: Azam Monirul 
Published: July 2024

Purpose
This paper aims to examine how Sweden, as a member state of the European Union (EU), has implemented the EU Directive on Public Access to Environmental Information (AEI directive) in the context of the principles of good administration.

Design/methodology/approach
This paper adopts the EU law methodology, as this paper mainly examines the implementation of the EU AEI directive by the member states and, as an EU member state, how Sweden used procedural autonomy to implement the EU directive at the national level. The EU law methodology further guides how national laws are to be interpreted considering obligations under the EU law. This paper further applies a comparative review to determine the differences in the approaches used by the AEI directive and relevant Swedish national laws to facilitate access to environmental information.

Findings
Despite Sweden used a minimalist approach rather than maximal harmonization while implementing the AEI directive at the national level, the Swedish model of the accessibility and availability of environmental information is fully compliant with the principles of good administration. The Swedish approach has an enormous effect on promoting access to environmental information as an integral part of good governance and fundamental rights.

Research limitations/implications
It was not possible to perform a comparative review of court cases on relevant issues from different EU member states.

Practical implications
Access to environmental information could be a tool for environmental democracy and sustainable development.

Social implications
Access to environmental information could contribute to more public engagement and participation in environmental decision making and hence could make developmental projects more inclusive to meet societal objectives.

Originality/value
This study makes a unique contribution by evaluating access to environmental information in the context of the principles of good administration under EU law.
Emerging technologies and higher education libraries: a bibliometric analysis of the global literature
Authors: Mitha Sara Bibi , Omarsaib Mousin 
Published: July 2024

PurposeThis paper explores emerging technologies in higher education libraries indexed in the Web of Science core collection and Scopus for the periods between 1994 and 2024 (January 18, 2024).Design/methodology/approachData from Web of Science (WoS) and Scopus databases were collected and combined using RStudio software. Once this was completed using RStudio, the combined Scopus and Web of Science Excel file was uploaded into Biblioshiny, an interactive web interface. The data was then categorized to illustrate contributions from authors, journals, countries and academic institutions across the globe.FindingsResults and findings related to publication growth trends, annual growth, core journals, impact and productivity of authors, most cited documents, collaborations, network mapping and country contributions on emerging technologies and higher education libraries are presented.Research limitations/implicationsThis topic requires further exploration as academic librarians are fast becoming integrated into the teaching and learning agenda of institutions globally.Practical implicationsHigher education libraries and library schools to promote the teaching identity of academic librarians by helping them improve their pedagogical and digital skills for online teaching.Social implicationsLibrary and information science schools need to fast track the integration of emerging technologies into the curriculum. Higher education libraries should consider the training of staff in order to keep abreast of emerging technologies. Library management must frame their policies and strategies in order to promote the use of emerging technologies in higher education libraries.Originality/valueThe current study is novel in that it explores emerging technologies and higher education libraries using combined data from Scopus and Web of Science. The topic of emerging technologies and higher education libraries is still developing and therefore is in its infancy. The research is useful for researchers, library management and library schools in the higher education sector globally.