bluuebunny/crossref_metadata_2025_split huggingface dataset:
GIGANTEAis required for robust circadian rhythms in wheat
Authors: Taylor Laura J. , Steed Gareth , Pingarron-Cardenas Gabriela , Wittern Lukas , Hannah Matthew A. , Webb Alex A. R. 
Published: April 2024

AbstractGIGANTEA (GI) is a plant-specific protein that functions in many physiological processes and signalling networks. In Arabidopsis, GI has a central role in circadian oscillators regulating the abundance of ZEITLUPE and TIMING OF CAB EXPRESSION 1 proteins and is essential for photoperiodic regulation of flowering. We have investigated how ortholgues of this component of Arabidopsis circadian oscillators contributes to circadian rhythms and yield traits, including heading (flowering) in wheat. We find thatGIis a core component of wheat circadian oscillators that is necessary to maintain robust oscillations in chlorophyll fluorescence and circadian oscillator transcript abundance. Predicted lack of functionalGIresults in later flowering in wheat in both long days and short days in controlled environment conditions. Our results support and extend previous work which suggests that the pathways by which photoperiodism regulates flowering are not fully conserved between Arabidopsis and wheat. Understanding the molecular basis for photoperiodism in wheat is important for breeders looking to manipulate flowering time and develop new elite, high yielding cultivars.HighlightGIGANTEAis required for robust circadian oscillations in wheat and regulates heading, most likely through aPHOTOPERIOD-1-dependent pathway.
Benchmarking Large Language Models for Bio-Image Analysis Code Generation
Authors: Haase Robert , Tischer Christian , Hériché Jean-Karim , Scherf Nico 
Published: April 2024

AbstractIn the computational age, life-scientists often have to write Python code to solve bio-image analysis (BIA) problems. Many of them have not been formally trained in programming though. Code-generation, or coding assistance in general, with Large Language Models (LLMs) can have a clear impact on BIA. To the best of our knowledge, the quality of the generated code in this domain has not been studied. We present a quantitative benchmark to estimate the capability of LLMs to generate code for solving common BIA tasks. Our benchmark currently consists of 57 human-written prompts with corresponding reference solutions in Python, and unit-tests to evaluate functional correctness of potential solutions. We demonstrate our benchmark here and compare 18 state-of-the-art LLMs. To ensure that we will cover most of our community needs we also outline mid- and long-term strategies to maintain and extend the benchmark by the BIA open-source community. This work should support users in deciding for an LLM and also guide LLM developers in improving the capabilities of LLMs in the BIA domain.
PIKFYVE inhibition induces endosome- and lysosome-derived vacuole enlargement via ammonium accumulation
Authors: Uwada Junsuke , Nakazawa Hitomi , Kiyoi Takeshi , Yazawa Takashi , Muramatsu Ikunobu , Masuoka Takayoshi 
Published: April 2024

AbstractFYVE-type zinc finger-containing phosphoinositide kinase (PIKFYVE), that is essential for PtdIns(3,5)P2production, is an important regulator of lysosomal homeostasis. PIKFYVE dysfunction leads to cytoplasmic vacuolization; however, the underlying mechanism remains unknown. In this study, we explored the cause of vacuole enlargement upon PIKFYVE inhibition in DU145 prostate cancer cells. Enlargement of vacuoles by PIKFYVE inhibition required glutamine and its metabolism by glutaminases. Addition of ammonia, a metabolite of glutamine, was sufficient to enlarge vacuoles via PIKFYVE inhibition. Moreover, PIKFYVE inhibition led to intracellular ammonium accumulation. Endosome–lysosome permeabilization resulted in ammonium leakage from the cells, indicating ammonium accumulation in the endosomes and lysosomes. Ammonium accumulation and vacuole expansion were suppressed by the lysosomal lumen neutralization. It is therefore assumed that PIKFYVE inhibition interferes with the efflux of NH4+, which is protonated NH3in the lysosomal lumen, leading to osmotic swelling of vacuoles. Notably, glutamine or ammonium is required for PIKFYVE inhibition-induced suppression of lysosomal function and autophagic flux. In conclusion, this study showed that PIKfyve inhibition disrupts lysosomal homeostasis via ammonium accumulation.Summary statementInhibition of the phosphoinositide kinase PIKFYVE results in endosome/lysosome enlargement and impaired lysosomal function. This study showed that the accumulation of glutamine-derived ammonium is the cause of these events.
A Case for Estradiol: Younger Brains in Women with Earlier Menarche and Later Menopause
Authors: Luders Eileen , Poromaa Inger Sundström , Barth Claudia , Gaser Christian 
Published: April 2024

AbstractThe transition to menopause is marked by a gradual decrease of estradiol. At the same time, the risk of dementia increases around menopause and it stands to reason that estradiol (or the lack thereof) plays a significant role for the development of dementia and other age-related neuropathologies. Here we investigated if there is a link between brain aging and estradiol-associated events, such as menarche and menopause. For this purpose, we applied a well-validated machine learning approach in a sample of 1,006 postmenopausal women who were scanned twice approximately two years apart. We observed less brain aging in women with an earlier menarche, a later menopause, and a longer reproductive span (i.e., the time interval between menarche and menopause). These effects were evident both cross-sectionally and longitudinally, which supports the notion that estradiol might contribute to brain preservation. However, more research is required as effects were small and no direct measures of estradiol were obtained in the current study.
Altered Expression of microRNAs Implicated in Hematopoietic Dysfunction in the Extracellular Vesicles of Bone Marrow-Mesenchymal Stromal Cells in Aplastic Anemia
Authors: Srivastava Jyotika , Kundal Kavita , Rai Bhuvnesh , Saxena Pragati , Tripathy Naresh , Yadav Sanjeev , Gupta Ruchi , Kumar Rahul , Nityanand Soniya , Chaturvedi Chandra Prakash 
Published: April 2024

AbstractRecently, we have reported that extracellular vesicles (EVs) from the bone marrow mesenchymal stromal cells (BM-MSC) of aplastic anemia (AA) patients inhibit hematopoietic stem and progenitor cell (HSPC) proliferative and colony-forming ability and promote apoptosis. One mechanism by which AA BM-MSC EVs might contribute to these altered HSPC functions is through microRNAs (miRNAs) encapsulated in EVs. However, little is known about the role of BM-MSC EVs derived miRNAs in regulating HSPC functions in AA. Therefore, we performed miRNA profiling of EVs from BM-MSC of AA (n=6) and normal controls (NC) (n=6), to identify differentially expressed miRNAs carried in AA BM-MSC EVs. DEseq2 analysis identified 34 significantly altered mature miRNAs in AA BM-MSC EVs. Analysis of transcriptome dataset of AA HSPC genes identified that 235 differentially expressed HSPC genes were targeted by these 34 EV miRNAs. The pathway enrichment analysis of 235 HSPC genes revealed their involvement in pathways associated with cell cycle, proliferation, apoptosis, and hematopoiesis regulation, thus highlighting that AA BM-MSC EV miRNAs could potentially contribute to impaired HSPC functions in AA.
Modifiable risk factors and inflammation-related proteins in polymyalgia rheumatica: genome-wide meta-analysis and Mendelian randomisation
Authors: Zhao Sizheng Steven , Mackie Sarah L , Larsson Susanna C , Burgess Stephen , Yuan Shuai 
Published: April 2024

AbstractObjectivePolymyalgia rheumatica (PMR) is an age-related inflammatory disease of unknown cause. We aimed to identify potentially modifiable risk factors and therapeutic targets for preventing or treating PMR.MethodsWe meta-analysed genetic association data from 8,156 cases of PMR (defined using diagnostic codes and self-report) and 416,495 controls of European ancestry from the UK Biobank and FinnGen. We then performed Mendelian randomization analyses to estimate the association between eight modifiable risk factors (using data from up to 1.2 million individuals) and 65 inflammation-related circulating proteins (up to 55,792 individuals), using the inverse variance weighted and pleiotropy robust methods.ResultsWe identified three novel genome-wide significant loci in theIL1R1, NEK6andCCDC88Bgenes and confirmation of previously described associations withHLA-DRB1andANKRD55. Genetically predicted smoking intensity (OR 1.32; 95%CI 1.08-1.60; p=0.006) and visceral adiposity (OR 1.22; 95%CI 1.10-1.37; p=3.10x10−4) were associated with PMR susceptibility. Multiple circulating proteins related to IL-1 family signaling were associated with PMR. IL-1 receptor-like 2, also known as IL-36 receptor (OR 1.25; p=1.89x10−32), serum amyloid A2 (OR 1.06, 9.91x10−10) and CXCL6 (OR 1.09, p=4.85x10−7) retained significance after correction for multiple testing.ConclusionReducing smoking and visceral adiposity at a population level might reduce incidence of PMR. We identified proteins that may play causal roles in PMR, potentially suggesting new therapeutic opportunities. Further research is needed before these findings are applied to clinical practice.Key messagesThree novel PMR risk loci were identified inIL1R1, NEK6andCCDC88B.Several circulating proteins, notably those involved in IL-1 family signalling, are associated with PMR susceptibility.Visceral adiposity and cigarette smoking are causally associated with risk of PMR.
Benchmarking Human-AI Collaboration for Common Evidence Appraisal Tools
Authors: Woelfle Tim , Hirt Julian , Janiaud Perrine , Kappos Ludwig , Ioannidis John P. A. , Hemkens Lars G. 
Published: April 2024

AbstractBackgroundIt is unknown whether large language models (LLMs) may facilitate time- and resource-intensive text-related processes in evidence appraisal.ObjectivesTo quantify the agreement of LLMs with human consensus in appraisal of scientific reporting (PRISMA) and methodological rigor (AMSTAR) of systematic reviews and design of clinical trials (PRECIS-2). To identify areas, where human-AI collaboration would outperform the traditional consensus process of human raters in efficiency.DesignFive LLMs (Claude-3-Opus, Claude-2, GPT-4, GPT-3.5, Mixtral-8x22B) assessed 112 systematic reviews applying the PRISMA and AMSTAR criteria, and 56 randomized controlled trials applying PRECIS-2. We quantified agreement between human consensus and (1) individual human raters; (2) individual LLMs; (3) combined LLMs approach; (4) human-AI collaboration. Ratings were marked as deferred (undecided) in case of inconsistency between combined LLMs or between the human rater and the LLM.ResultsIndividual human rater accuracy was 89% for PRISMA and AMSTAR, and 75% for PRECIS-2. Individual LLM accuracy was ranging from 63% (GPT-3.5) to 70% (Claude-3-Opus) for PRISMA, 53% (GPT-3.5) to 74% (Claude-3-Opus) for AMSTAR, and 38% (GPT-4) to 55% (GPT-3.5) for PRECIS-2. Combined LLM ratings led to accuracies of 75-88% for PRISMA (4-74% deferred), 74-89% for AMSTAR (6-84% deferred), and 64-79% for PRECIS-2 (18-88% deferred). Human-AI collaboration resulted in the best accuracies from 89-96% for PRISMA (25/35% deferred), 91-95% for AMSTAR (27/30% deferred), and 80-86% for PRECIS-2 (76/71% deferred).ConclusionsCurrent LLMs alone appraised evidence worse than humans. Human-AI collaboration may reduce workload for the second human rater for the assessment of reporting (PRISMA) and methodological rigor (AMSTAR) but not for complex tasks such as PRECIS-2.
Application of physiological network mapping in the prediction of survival in critically ill patients with acute liver failure
Authors: Oyelade Tope , Moore Kevin P. , Mani Ali R. 
Published: April 2024

AbstractReduced functional connectivity of physiological systems is associated with poor prognosis is critically ill patients. However, physiological network analysis is not commonly used in clinical practice and awaits quantitative evidence. Acute liver failure (ALF) is associated with multiorgan failure and mortality. Prognostication in ALF is highly important for clinical management but is currently dependent on models that do not consider the interaction between organ systems. This study is aimed to examine the impact of physiological network analysis, in prognostication of patients with ALF.Data from 640 adult patients admitted to the ICU for paracetamol-induced ALF were extracted from the MIMIC-III database. Parenclitic network analysis was performed on the routine biomarkers and network clusters were identified using the k-clique percolation method.Network analysis showed that the liver function biomarkers were more clustered in survivors than in non-survivors. Arterial pH was also found to cluster with serum creatinine and bicarbonate in survivors compared with non-survivors, where it clustered with respiratory nodes indicating physiologically distinctive compensatory mechanism. Deviation along the pH-bicarbonate and pH-creatinine axes could significantly predict mortality independent of current prognostic indicators. These results demonstrate that network analysis can provide pathophysiologic insight and predict survival in critically ill patients with ALF.
Improvement of corrosion resistance of 7075 aluminum alloy by ceria coating modified by zinc oxide nanoparticles
Authors: Ahmadi Vahid , Hosseini Seyed Mohammad Ali , Jamalizadeh Effat , Naghizade Razie 
Published: April 2024

Purpose
This paper aims to investigate the corrosion resistance of two types of coatings – one is ceria sol coating and the other is ceria sol coating modified by ZnO nanoparticles on 7075 aluminum alloy in 3.5% NaCl solution.

Design/methodology/approach
Aluminum alloys were dipped into ceria sol and ceria sol modified by ZnO nanoparticles separately and removed after 10 min from the solutions and dried at 110°C for 30 min and heated at 500 °C for 30 min to form the coatings. The coatings have been characterized by using field emission scanning electron microscopy (FE-SEM), electrochemical impedance spectroscopy (EIS), X-ray diffraction (XRD) and energy dispersive spectroscopy (EDS). The EIS tests were performed in a corrosive solution of 3.5% NaCl.

Findings
The results showed that the coating of ceria sol modified by ZnO nanoparticles has higher corrosion resistance than the ceria sol coating and the bare sample. Also, the best efficiency is related to aluminum sample immersion after 1 h in NaCl corrosive solution for coating modified by ZnO nanoparticles.

Originality/value
In this research, the modification of ceria sol coating by ZnO nanoparticles had an effect on improving the corrosion behavior of aluminum alloy. It is also understood that modification of coatings is an effective parameter on corrosion resistance.
Jason Goes Job Hunting
Authors: Sinclair Safiya , Fairchild Gregory B. 
Published: April 2024

Jason has had a string of bad luck: he was fired from his job, his car got repossessed, he had to move back in with his mother when he was unable to make rent on his apartment, and his girlfriend dumped him. He is feeling unmotivated and discouraged, but also recognizes—at his mother's insistence—that he needs to start contributing to the household. Following his mother's orders, he heads to the local strip mall seeking employment.How hard could it be to get a job, anyway?
La Pinekonez: navigating challenges of homestay business
Authors: Attri Rekha 
Published: April 2024

Learning outcomes
After completion of the case study, the participants would be able to understand the challenges in building a sustainable homestay tourism business; develop a positioning statement for La Pinekonez which builds a unique competitive advantage; and outline elements of the business strategy to profitably sustain and grow a sustainable tourism homestay in terms of service offering, pricing, marketing and operations.

Case overview/synopsis
La Pinekonez Homestay, located in the beautiful region of Himachal Pradesh, India, is the subject of this case study, which explores both its successes and its difficulties. In August 2022, Arvind, the dedicated sole proprietor of La Pinekonez, grappled with multifaceted challenges, the first being the foray of established hotel chains into the homestay business. As the protagonist, was is in dilemma of preserving La Pinekonez’s unique identity amidst corporate competitors, particularly with regards to differentiating from the expanding hotel chains. The clash between customer expectations for hotel-like amenities and the homestay’s commitment to sustainable tourism presented a crucial challenge. Negative reviews questioning the authenticity of La Pinekonez’s green initiatives heightened the complexity. Adding to Arvind’s predicament were the seasonal fluctuations in tourist inflow and his aspiration to embrace immersive tourism trends. This case study facilitates exploration of strategic positioning, sustainability management and marketing strategies in the dynamic and competitive hospitality industry. It also offers insights into the complexities of balancing differentiation, customer satisfaction and sustainability while navigating the evolving landscape of tourism trends.

Complexity academic level
This case study is suitable for students of tourism and hospitality management at postgraduate level. The case study can be discussed once the basic concepts of hospitality management and service dimensions are covered.

Supplementary material
Teaching notes are available for educators only.

Subject code
CCS 12: Tourism and hospitality.
Exploring the relationship between self-perceived academic performance and entrepreneurial intention: the moderating roles of serious leisure, perceived stress and gender
Authors: Mouratidou Maria , Donald William E. , Mohandas Nimmi P. , Ma Yin 
Published: April 2024

PurposeDrawing on a framework of conservation of resources theory, the purpose of this paper is to explore the relationship between self-perceived academic performance and individual entrepreneurial intention and consider the potential moderating role of (1) participation in serious leisure, (2) perceived stress and/or (3) gender.Design/methodology/approachA total of 405 UK-based undergraduates completed the questionnaire, with a representative gender split of 57% women and 43% men.FindingsThe positive relationship between self-perceived academic performance and individual entrepreneurial intention was moderated by serious leisure (stronger when participation in serious leisure increased) and by perceived stress (stronger when levels of perceived stress were lower). However, contrary to our expectations, gender had no statistically significant moderating role.Practical implicationsThe practical contribution comes from informing policy for universities and national governments to increase individual entrepreneurial intention in undergraduates.Originality/valueThe theoretical contribution comes from advancing conservation of resources theory, specifically the interaction of personal resources, resource caravans and resource passageways.
Why do companies integrate products and services? Linking decision-makers’ personality traits and decision-making logics
Authors: Coreynen Wim , Vanderstraeten Johanna , van Hugten Joeri , van Witteloostuijn Arjen 
Published: April 2024

PurposeDespite the increasing attention given to product-service integration (PSI), little is known about this innovation strategy from a key decision-maker’s perspective. To address this gap, our study draws from personality psychology and decision-making (DM) logics theory to better understand why and how companies’ decision-makers strategize for PSI.Design/methodology/approachUsing an abductive, empirics-first approach, we identify the study’s theoretical building blocks, followed by an exploratory quantitative analysis to generate new theory. We propose a fit-as-mediation conceptual framework suggesting that (1) specific personality traits [i.e. honesty-humility (H), emotionality (E), extraversion (X), agreeableness (A), conscientiousness (C) and openness to experience (O) (HEXACO)] make decision-makers more likely to include PSI in their company’s strategy and (2) depending on their personality, they apply different DM logics (i.e. causation or effectuation) to do so. To empirically examine this, we use data from 289 SMEs’ decision-makers.FindingsWe report several meaningful relationships among our key theoretical constructs. For instance, we find that conscientious decision-makers are more likely to develop a PSI strategy via causation, whereas extravert decision-makers are more likely to do so via both causation and effectuation.Originality/valueThis service study is the first to apply the well-established HEXACO Personality Inventory to companies’ key decision-makers. Moreover, it contributes to the microfoundations of PSI strategy and DM logic theories.
Experiences, expectations and suggestions of digital nomads towards an intangible cultural heritage
Authors: Yıldırım Mücahit , Kaya Aysel 
Published: April 2024

PurposeTo understand the experiences, expectations and suggestions of digital nomads towards intangible cultural heritage in the places they travel.Design/methodology/approachThe qualitative research method was used and the research design is a phenomenological design. Multiple qualitative research design steps were followed in obtaining the research data. In this context, online interviews were conducted with a semi-structured interview form developed by the researchers, and the social media accounts of digital nomads were monitored. The sample consists of nine digital nomads who were interviewed online and five digital nomads whose videos and comments shared on social media were monitored. The inductive thematic analysis method was used to analyse the data.FindingsIt was found that digital nomads experience intangible cultural heritage elements, especially religious rituals and food culture, and actively participate in activities and rituals related to these elements as well as sharing them on their social media accounts. It was also concluded that the participants expected to work towards the protection of intangible cultural heritage elements through a number of activities such as awareness-raising and education, and that it is difficult to experience cultural heritage in societies that are not foreign-friendly.Research limitations/implicationsThe data were obtained from volunteer participants consisting of digital nomads and digital nomads who shared their experiences on social media. It is suggested that traditional food and religious rituals as intangible cultural heritage should be promoted and transferred by sharing the experiences these digital nomads on digital platforms.Practical implicationsReligious rituals and food cultures are prominent in the ICH experiences of digital nomads. Digital nomads who stay longer in their destination than tourists can play an intermediary role in promoting and transmitting this heritage. The social media and other digital platforms enable digital nomads to share their experiences of cultural heritage and create a global dialogue and understanding through these experiences.Social implicationsThe experiences and expectations of digital nomads towards ICH require a reassessment of traditional approaches to the preservation and transmission of cultural heritage. By experiencing different cultural heritages and sharing these experiences through digital platforms, digital nomads contribute to the reinterpretation and reproduction of cultural heritage. This process reveals that cultural heritage is not limited to a particular community or geography, but is rather a global phenomenon, and therefore needs to be addressed from a global perspective.Originality/valueIt is one of the pioneering studies on the experiences of digital nomads towards intangible cultural heritage.