bluuebunny/crossref_metadata_2025_split huggingface dataset:
Oleaginous Yeast Biology Elucidated With Comparative Transcriptomics
Authors: Weintraub Sarah J. , Li Zekun , Nakagawa Carter L. , Collins Joseph H. , Young Eric M. 
Published: December 2024

ABSTRACTExtremophilic yeasts have favorable metabolic and tolerance traits for biomanufacturing‐ like lipid biosynthesis, flavinogenesis, and halotolerance – yet the connection between these favorable phenotypes and strain genotype is not well understood. To this end, this study compares the phenotypes and gene expression patterns of biotechnologically relevant yeasts Yarrowia lipolytica, Debaryomyces hansenii, and Debaryomyces subglobosus grown under nitrogen starvation, iron starvation, and salt stress. To analyze the large data set across species and conditions, two approaches were used: a “network‐first” approach where a generalized metabolic network serves as a scaffold for mapping genes and a “cluster‐first” approach where unsupervised machine learning co‐expression analysis clusters genes. Both approaches provide insight into strain behavior. The network‐first approach corroborates that Yarrowia upregulates lipid biosynthesis during nitrogen starvation and provides new evidence that riboflavin overproduction in Debaryomyces yeasts is overflow metabolism that is routed to flavin cofactor production under salt stress. The cluster‐first approach does not rely on annotation; therefore, the coexpression analysis can identify known and novel genes involved in stress responses, mainly transcription factors and transporters. Therefore, this work links the genotype to the phenotype of biotechnologically relevant yeasts and demonstrates the utility of complementary computational approaches to gain insight from transcriptomics data across species and conditions.
Citizen scientist and researcher produced similar environmental niche to larger and nonendangered Felidae species
Authors: Alice da Silva Marianna , Nabout João Carlos 
Published: December 2024

AbstractKnowledge of species' geographic distribution and climatic tolerances is essential in conservation biology research. In this context, data provided by both researchers and citizen scientists are crucial for biodiversity conservation plans. However, the similarity between data collected by citizen scientists and researchers may be influenced by species traits. Thus, the aim of this study was to assess the environmental niche similarity of felid species detected by professional scientists and citizen scientists, and to investigate whether this similarity could be explained by habitat type, body size, or species threat level. We found that larger and nonendangered species exhibited environmental niches identified by citizen scientists that were similar to those recorded by researchers. Larger and nonendangered species are more accessible to both researchers and citizen scientists; therefore, structured citizen science projects could focus research efforts on smaller and more geographically restricted species. However, special attention must be given to endangered species, as unstructured or poorly planned structured projects may negatively affect local populations, potentially leading to population decline.
Environmental Indicators for Assessment of Circular Economy (CE) Implementation in the Water and Wastewater Sector
Authors: Smol Marzena , Mejia Alfonso , Gastaldi Massimo , D'Adamo Idiano 
Published: December 2024

ABSTRACTWater and wastewater sector actively participates in circular economy (CE) transition; however, there is no official CE monitoring framework to measure the level of progress toward the CE model in this sector. The paper presents a set of environmental indicators that could support water and wastewater treatment companies in the assessment of CE implementation. CE indicators were grouped into six areas of CE implementation in this sector: reduction—prevention of wastewater generation; reclamation (removal)—contamination removal from water and wastewater; reuse—water reuse for nonpotable usage; recycling—water reuse for potable usage; recovery—recovery of raw materials and energy from water‐based waste; and rethink—rethinking use of raw materials. The following indicators were proposed in specific CE areas: reduction—tap water consumption reduction, wastewater generation reduction, waste reduction, sewage sludge generation reduction, and water footprint; reclamation—pollutants removal from water and pollutants removal from wastewater; reuse—water reuse from wastewater for nonpotable usage and recycling of technical water for nonpotable usage; recycling—water reuse from wastewater for potable usage; recovery—raw materials recovery, bio‐based fertilizers, energy recovery, processing of sewage sludge, composting of sewage sludge, biogas production, and processing of ashes; and rethink—CE technologies, life cycle assessment reports, CE products, and CE business models, industrial symbiosis, and carbon footprint. The proposed CE indicators can be used not only to assess the level of transformation toward CE but also to support further policies on strategic CE initiatives in organizations operating in the water and wastewater sector. Moreover, they could support the strategic planning of further CE initiatives in organizations. The proposed list of CE indicators is not closed because in the coming years, more and more CE solutions are expected to be developed and implemented in water and wastewater treatment plant companies, involving also economic and social aspects, in order to support the sustainable development.
Executive Green Cognition on Corporate Greenwashing Behavior: Evidence From A‐Share Listed Companies in China
Authors: Hao Xiaoli , Miao Erxiang , Wen Shufang , Wu Haitao , Xue Yan 
Published: December 2024

ABSTRACTGreenwashing has become a strategy for companies to comply with environmental regulations, while also projecting an eco‐friendly image. This study examined how executives' green cognition affected the corporate greenwashing using both fixed effect and moderated mediation models. The findings indicated that the executives' green cognition significantly reduced the greenwashing behavior, whereas its effectiveness decreased with the increasing financial constraints. Additionally, the executives' green cognition helped mitigate the greenwashing by promoting innovation in green management, while this effect was limited by financial constraints. Furthermore, in highly competitive industries and with substantial ownership stakes among senior executives, the impact of green cognition on greenwashing was constrained. However, when the roles of the chairman and general manager were separate, senior executives' green cognition effectively avoided the greenwashing. Moreover, after the COVID‐19 pandemic, the inhibitory effect of executives' green cognition on greenwashing became more pronounced. This study could offer valuable insights into reducing corporate greenwashing and enhancing environmental credibility.
Elucidation of Dysregulated Pathways Associated With Hypoxia in Oestrogen Receptor‐Negative Breast Cancer
Authors: Shamis Suad A. K. , Quinn Jean , Al‐Badran Sara , McKenzie Molly , Hatthakarnkul Phimmada , Lynch Gerard , Lian Guang‐Yu , Numprasit Warapan , Romics Laszlo , Andersen Ditte , Mallon Elizabeth , McMillan Donald C. , Edwards Joanne 
Published: December 2024

ABSTRACTPurposeCarbonic anhydrase IX (CAIX) is a well‐established prognostic marker in breast cancer (BC). Nevertheless, this prognostic value is yet to be confirmed in BC subtypes. This study aims to investigate the prognostic effects of CAIX in oestrogen receptor (ER)‐negative (ER−) BCs and to establish pathways related to cytoplasmic CAIX expression in ER− and lymph node‐negative BCs.MethodsImmunohistochemistry was performed to identify the prognostic role of CAIX protein expression in ER− tissue microarrays (TMAs) (n = 191). CAIX‐positive samples (n = 37) were transcriptionally profiled by TempO‐Seq and analysed by STRING. Real‐time quantitative PCR (RT‐qPCR) analysis was used to validate differentially expressed genes.ResultsOverexpression of cytoplasmic CAIX was an independent predictor of recurrence free survival, disease‐free survival and overall survival in ER− cohort. RNA transcriptomic analysis identified 10 significant genes in ER− cohort and 3 genes in the node‐negative group. The STRING database demonstrated a significant interaction between MUCL1 and GALNT6, which were linked with extracellular matrix organisation, degradation of the extracellular matrix and disease of glycosylation pathways. In the node‐negative group, SPNS2 is mainly involved in the sphingolipid de novo biosynthesis pathway. A significant correlation between cytoplasmic SphK1 and cytoplasmic hypoxia‐inducible factor‐1α was observed. Among the 10 genes, 7 genes (SERHL2, GALNT6, MUCL1, MMP7, PITX2, CEACAM6 and SPNS2) were selected, and their expression was quantitatively assessed by RT‐qPCR. The PCR data of these genes showed that SERHL2, GALNT6, MUCL1, PITX2, and SPNS2 mRNA levels were expressed in MDA‐MB‐231 BC cell lines at variable levels of hypoxic exposure.ConclusionCytoplasmic CAIX was independently associated with poor prognosis in ER− BC. Gene expression profiles shed light on the pathways and genes associated with hypoxia in ER− BC. In node‐negative patients, SPNS2 was of particular interest.
The Efficacy and Safety of Albumin‐Bound Paclitaxel Combined With Anlotinib and PD‐1/L1 Inhibitors For Treating Patients With Extensive‐Stage Small Cell Lung Cancer and Brain Metastasis: A Retrospective Cohort Study
Authors: Li Xiaobing , Wu De , Peng Yi , Tang Jing , Wu Yuebing 
Published: December 2024

ABSTRACTObjectivesExtensive‐stage small cell lung cancer (ES‐SCLC) suffering from brain metastases (BM) has a poor prognosis and lacks effective treatment selection. In this study, we explored the efficacy and safety of combination treatment of albumin‐bound paclitaxel (nab‐ptx), anlotinib, and PD‐1/L1 inhibitors for such special population.MethodsA total of 55 patients diagnosed with ES‐SCLC and BM were enrolled in this retrospective study. Patients received a combination therapy consisting of nab‐ptx, anlotinib, and PD‐1/L1 inhibitors. The primary endpoints included overall response rate (ORR), progression‐free survival (PFS), overall survival (OS), and adverse events (AEs).ResultsThe results demonstrated promising efficacy of the combination therapy for such patients, with an ORR of 36.36%, median PFS and OS of 5.0 and 10.0 m, correspondingly. Subgroup analyses indicated that treatment efficacy closely correlated with patients' Ds‐GPA (Diagnosis‐specified Graded Prognosis Assessment) scores. Mechanistic studies revealed that this regimen likely operates by reducing immune suppression to activate immune function, thereby exerting synergistic anti‐tumor effects. The common AEs include decreased appetite, nausea, leukopenia, hypertension, proteinuria, hand‐foot syndrome, peripheral neuropathy, rash, and thyroid toxicity, most of which are generally mild and can be alleviated with symptomatic treatment.ConclusionThe combination of nab‐ptx, anlotinib, and PD‐1/L1 inhibitors exhibited substantial efficacy and acceptable safety in the treatment of BM from ES‐SCLC. This novel therapeutic approach holds promise for improving the outcomes for patients with this challenging disease. Further studies are needed to validate these findings and investigate the long‐term benefits of this combination regimen.
Prognosis Prediction of Cardiovascular Event With Glucose‐Albumin Ratio on Patients With Cancer and Prescribed With Anthracycline
Authors: Cheang Iokfai , Li Ying , Zhu Xu , Chen Ziqi , Ren Qing‐Wen , Wu Mei‐Zhen , Xu Xin , Tse Hung‐Fat , Yiu Kai‐Hang , Li Xinli 
Published: December 2024

ABSTRACTAimsThis study aimed to investigate the clinical value of the glucose‐albumin ratio (GAR) in predicting the prognosis of cancer patients prescribed anthracycline‐based chemotherapy.MethodsWe included cancer patients who underwent anthracycline‐based chemotherapy, drawn from the population‐based cohort Clinical Data Analysis Reporting System of Hong Kong between January 2000 and December 2019. Demographics, medical history, baseline laboratory, and metabolic indicators, including GAR, were collected. We employed random survival forests (RSF) with the variable importance (VIMP) method to rank the importance of these variables. Cox proportional hazards regression was used to assess the association between GAR levels and event risks.ResultsA total of 18,700 patients were included in the analysis. The top 2 factors for predicting overall cardiovascular event risk were GAR and fasting blood glucose (FBG). Our results revealed that a higher GAR was significantly associated with poorer cardiovascular prognosis in patients with cancer prescribed with anthracycline‐based chemotherapy. Compared to the lowest quartile, higher GAR levels were significantly associated with increased risk of all‐cause mortality, major adverse cardiovascular events, hospitalization of heart failure, and cardiovascular mortality regardless of the adjustments (all p trend < 0.001).ConclusionGAR is a potential biomarker for predicting the prognosis of cancer patients undergoing anthracycline‐based chemotherapy. Monitoring GAR levels before and during treatment may help identify patients at higher risk of adverse outcomes, facilitating personalized treatment strategies and improving clinical management.
Prevalence and Factors Associated With Cancer‐Related Fatigue Among Children and Adolescents Undergoing Cancer Treatment: A Systematic Review and Meta‐Analysis
Authors: Oberoi Sapna , Huang Beili , Rabbani Rasheda , Askin Nicole , Okoli George , Jain Richa , Sung Lillian , Jeyaraman Maya M. , Mahar Alyson , Woodgate Roberta , Zarychanski Ryan 
Published: December 2024

ABSTRACTBackgroundThe literature on fatigue in children and adolescents undergoing cancer treatment is highly variable, creating uncertainties about its prevalence and identifying those at higher risk.ObjectivesThe primary purpose was to describe the prevalence of fatigue among patients (< 21 years) undergoing cancer treatment across cancer types. Secondary outcomes included the prevalence of severe fatigue and factors associated with fatigue.MethodsSystematic searches of MEDLINE, Embase, Cochrane Central Register of Controlled Trials, CINAHL, and PsycINFO were conducted from inception to May 22, 2023. Two reviewers independently identified relevant citations and extracted data. Pooled prevalence estimates were derived using an inverse variance, random‐effects model. We used Joanna Briggs's critical appraisal checklist to assess study quality. (PROSPERO: CRD42020179307).ResultsWe included 47 studies: 26 for prevalence and 29 for factors associated with fatigue. The pooled prevalence of fatigue was 73% (95% [Confidence Interval, CI: 66%–79%; I2 96%; 26 studies; 2699 patients], and severe fatigue was 30% [95% CI 14%–46%, I2 98%; 8 studies; 1027 patients]). Subgroup analyses based on cancer type, study design, fatigue scale, fatigue reporting personnel, sample frame, and response rate did not reveal significant differences in fatigue prevalence. Fatigue prevalence significantly differed by treatment setting (inpatient [83%] vs. outpatient [55%] vs. inpatient and outpatient [69%]; p: 0.02). Due to considerable heterogeneity among studies, data on fatigue‐associated factors are presented descriptively.ConclusionsThe prevalence of fatigue among children and adolescents undergoing cancer treatment is variable but notably high. Systematic evaluation of factors associated with fatigue is essential to understanding which children are at high risk of developing fatigue.Trial RegistrationPROSPERO: CRD42020179307
The Metaverse: A Liquid Consumer Utopia A Journey Into Gen Z's Usage Intention Behavior Using the TRAM Model
Authors: Bassiouni Dina H. , Meshreki Hakim 
Published: December 2024

ABSTRACTA utopian analytical lens is adopted in this research to explore metaverse usage intentions through an adaptation of the Technology Acceptance Model (TAM) and the Technology Readiness Index (TRI), within the TRAM framework. While most metaverse research has been qualitative and exploratory, this study employs a quantitative approach to unravel the terrain between the affective and cognitive scaffoldings influencing metaverse adoption within a developing country among one segment of its early adopters: Gen Z. By focusing on a region often overlooked in scholarly discourse, the research aims to broaden the applicability and relevance of the TRAM model. Findings reveal that for the metaverse to achieve widespread acceptance, it must offer an immersive and enjoyable experience. Optimism and perceived enjoyment emerge as crucial predictors of usage intention, while skepticism significantly diminishes enjoyment, presenting a barrier to adoption. This study underscores the critical interplay between TAM and TRI in understanding the metaverse acceptance, offering insights into the cognitive (utility) and affective (individual traits) dynamics that will shape the trajectory of this era's transformative technology.
Novel Colors in Packaging: Boosting Consumers Learning Through Greater Expectation Violation
Authors: Lin Xin , Ji Shuhan , Liu Mengying , Huang Jianping 
Published: December 2024

ABSTRACTCompanies often change product packaging colors to drive innovation and boost sales. However, these changes may violate expectations, resulting in inconsistent associations between new colors and original labels. It remains unclear whether consumers can learn these new associations. This study delved into the effect of expectation violation on consumer learning of color–label (flavor/brand) associations by varying the degree of violation between colors (adjacent and complementary) and labels. To assess associative strength, we compared learning effects under strong (color–flavor) and weak (color–brand) associations. Experiment 1 demonstrated higher accuracy in the visual search for packaging with complementary colors after learning. It was supported in Experiment 2. Between experiments, weaker associations showed greater improvement in response times (RTs). Our results suggest greater expectation violation in packaging color enhances associate learning. However, entrenched strong associations may impede the formation of new ones. These findings advance expectation violation theories and guide companies in using packaging color changes to innovate. Taking complements violating expectations can facilitate consumer learning.
Antioxidative Potential of 3‐Methoxyluteolin: Density Functional Theory (DFT), Molecular Docking, and Dynamics—A Combined Experimental and Computational Study
Authors: Trang Vu Minh , Ha Nguyen Xuan , Son Ninh The 
Published: December 2024

ABSTRACTThe current study first describes the antioxidative potential of 3‐methoxyluteolin. The experimental result is supported by computational approaches. The studied flavone (IC50 12.40 µg/mL) was comparable to ascorbic acid in antioxidative activity against 2,2‐diphenyl‐1‐picrylhydrazyl (DPPH) radicals (IC50 11.38 µg/mL). From DFT (density functional theory) calculations, its principal radical mechanism in gas and lipid was the FHT (formal hydrogen transfer), whereas the SPL‐ET (sequential proton loss‐electron transfer) was the main way in water. Hydroxyl groups were crucial radical scavenging sites, especially at carbon C‐4′. Kinetic evidence indicated that the reactions between the studied compound with HOO˙ radicals resulted in the koverall (overall rate constant) of 2.5 × 109 and 1.07 × 103 (M s)−1 in water and pentyl ethanoate, respectively. The studied molecule also chelated to Zn metal ion to form Zn(3‐methoxyluteolin)2 complex with the lowest binding energy value of −322.911 kcal/mol. Considering the neurodegenerative inhibitory potentials of the studied compound, molecular docking results revealed that 3‐methoxyluteolin interacted with the active sites of both acetylcholinesterase (AChE) and butyrylcholinesterase (BChE) with the binding affinities of −9.493 and −8.812 kcal/mol, respectively, which are stronger than the reference compound tacrine. To assess the structural stability and binding interactions with each studied protein, molecular dynamics simulations were conducted. The results indicated that the 3‐methoxyluteolin complexes with AChE and BChE remained stable during a simulation period.
Management of Chronic Total Occlusion With Heavily Calcified Distal Cap: Three‐Dimensional Vascular Wall Assessment Enables Move‐the‐Cap Technique via Retrograde Approach
Authors: Matsumura Hidenari , Shimoji Kenichiro , Iwahori Hiroya , Yoshijima Nobuhiro 
Published: December 2024

ABSTRACTThe complexity of chronic total occlusion percutaneous coronary intervention (CTO PCI) involving calcification is high, and completing the procedure with an antegrade approach is often challenging. However, calcification is also a significant obstacle in the retrograde approach, where it has been reported as a predictor of CTO PCI failure even after successful channel crossing. Overcoming calcification in the retrograde approach is, therefore, crucial. CTOs with heavily calcified distal caps often hinder the advancement of retrograde wires, leading to procedure failure. This report discusses two cases where we successfully employed the retrograde move‐the‐cap technique to perform reverse‐controlled antegrade and retrograde tracking and dissection in the presence of heavily calcified distal caps, enabled by precise three‐dimensional assessment of the vascular wall from multiple angles based on appropriate landmarks.
Application of Drug‐Coated Balloons in Complex High Risk and Indicated Percutaneous Coronary Interventions
Authors: Somsen Yvemarie B. O. , Rissanen Tuomas T. , Hoek Roel , Ris Tijmen H. , Stuijfzand Wynand J. , Nap Alexander , Kleijn Sebastiaan A. , Henriques José P. , de Winter Ruben W. , Knaapen Paul 
Published: December 2024

ABSTRACTThere is a growing trend of patients with significant comorbidities among those referred for percutaneous coronary intervention (PCI). Consequently, the number of patients undergoing complex high risk indicated PCI (CHIP) is rising. CHIP patients frequently present with factors predisposing to extensive drug‐eluting stent (DES) implantation, such as bifurcation and/or heavily calcified coronary lesions, which exposes them to the risks associated with an increased stent burden. The drug‐coated balloon (DCB) may overcome some of the limitations of DES, either through a hybrid strategy (DCB and DES combined) or as a leave‐nothing‐behind strategy (DCB‐only). As such, there is a growing interest in extending the application of DCB to the CHIP population. The present review provides an outline of the available evidence on DCB use in CHIP patients, which comprise the elderly, comorbid, and patients with complex coronary anatomy. Although the majority of available data are observational, most studies support a lower threshold for the use of DCBs, particularly when multiple CHIP factors coexist within a single patient. In patients with comorbidities which predispose to bleeding events (such as increasing age, diabetes mellitus, and hemodialysis) DCBs may encourage shorter dual antiplatelet therapy duration—although randomized trials are currently lacking. Further, DCBs may simplify PCI in bifurcation lesions and chronic total coronary occlusions by reducing total stent length, and allow for late lumen enlargement when used in a hybrid fashion. In conclusion, DCBs pose a viable therapeutic option in CHIP patients, either as a complement to DES or as stand‐alone therapy in selected cases.