bluuebunny/crossref_metadata_2025_split huggingface dataset:
Conserved metabolic adaptation mechanisms in cancer cells and yeast against mitochondrial dysfunction indicate an additional role of aerobic glycolysis for cell survival
Authors: Sawai Akane , Taniguchi Takeo , Noguchi Kohsuke , Seike Taisuke , Okahashi Nobuyuki , Takaine Masak , Matsuda Fumio 
Published: February 2025

AbstractEukaryotic cells primarily generate ATP through oxidative phosphorylation and substrate-level phosphorylation. Despite the superior efficiency of oxidative phosphorylation, eukaryotic cells often utilize both pathways as aerobic glycolysis even in the presence of oxygen. However, its role in cell survival remains poorly understood. In this study, aerobic glycolysis of the Warburg effect in breast cancer cells (MCF7) and the Crabtree effect in a laboratory strain ofSaccharomyces cerevisiae(S288C) were compared following treatment with electron transport chain inhibitors, including FCCP, antimycin A, and oligomycin. MCF7 and S288C exhibited strikingly similar metabolic rewiring toward substrate-level phosphorylation against the inhibitor treatment, suggesting that mitochondrial oxidative phosphorylation and cytosolic substrate-level phosphorylation communicate through a common mechanism. Measurements of mitochondrial membrane potential (MMP) and ATP concentration further indicated that cytosolic ATP was transported into the mitochondria under conditions of reduced electron transport chain activity. This ATP was likely utilized by the reverse mode of H+/ATPase to maintain the MMP which contributed to avoiding programmed cell death. These results suggest that the ATP supply to mitochondria plays a conserved role in aerobic glycolysis across yeast and mammalian cancer cells. This mechanism likely contributes to cell survival under conditions of fluctuating oxygen availability.
Decoding RNA-RNA Interactions: The Role of Low-Complexity Repeats and a Deep Learning Framework for Sequence-Based Prediction
Authors: Setti Adriano , Bini Giorgio , Maiorca Valentino , Pellegrini Flaminia , Proietti Gabriele , Miltiadis-Vrachnos Dimitrios , Armaos Alexandros , Martone Julie , Monti Michele , Ruocco Giancarlo , Rodolà Emanuele , Bozzoni Irene , Colantoni Alessio , Tartaglia Gian Gaetano 
Published: February 2025

AbstractRNA-RNA interactions (RRIs) are fundamental to gene regulation and RNA processing, yet their molecular determinants remain unclear. In this work, we analyzed several large-scale RRI datasets and identified low-complexity repeats (LCRs), including simple tandem repeats, as key drivers of RRIs. Our findings reveal that LCRs enable thermodynamically stable interactions with multiple partners, positioning them as key hubs in RNA-RNA interaction networks. RNA-sequencing of the interactors of the Lhx1os lncRNA allowed to validate the importance of LCRs in shaping interactions potentially involved in neuronal development.Recognizing the pivotal role of sequence determinants, we developed RIME, a deep learning model that predicts RRIs by leveraging embeddings from a nucleic acid language model. RIME outperforms traditional thermodynamics-based tools, successfully captures the role of LCRs and prioritizes high-confidence interactions, including those established by lncRNAs. RIME is freely available athttps://tools.tartaglialab.com/rna_rna.
Tiling of large-scaled environments by grid cells requires experience
Authors: Gutiérrez-Guzmán Blanca E. , Hernández-Pérez J Jesús , Dannenberg Holger 
Published: February 2025

AbstractGrid cells in the medial entorhinal cortex are widely believed to provide a universal spatial metric supporting vector-based navigation irrespective of the spatial scale of an environment. However, using single unit recordings in freely behaving mice, we demonstrate that spatial periodicity in grid cell firing is substantially disrupted when transitioning from a small to a large-scale arena when the scale ratio is larger than the scale ratio of successive grid modules. Remarkably, grid patterns reemerge with experience in the large-scale arena, suggesting that grid cells can learn to represent large-scale spaces with experience.SummaryScaling of grid maps is limited by the scale ratio of successive grid modules.Grid maps cannot be sustained in novel large-scaled environments.The recovery of the grid map requires multi-day experience.
Application and mechanism of anticancer peptides in organoid models of intrahepatic cholangiocarcinoma
Authors: Hu Xuekai , Zhang Yue , Li Yanchen , Zheng Qiuxia , Zhao Haixia , Zhang Yun , Ni Jingman , Yao Jia 
Published: February 2025

ABSTRACTBackgroundThe clinical manifestations of intrahepatic cholangiocarcinoma (ICC) are non-specific, and only a small number of patients are eligible for surgical resection at the time of diagnosis, limiting treatment options. Anticancer peptides (ACPs) exhibit strong inhibitory activity against tumour cell lines, exhibit minimal side effects, are easily modified and optimised, and have low production costs. These attributes make ACPs a prospect for clinical applications. Simultaneously, the development of patient-derived three-dimensional organoids as a novel disease model has enabled the replication of the structure and heterogeneity of solid tumours. These organoids provide valuable tools for understanding disease mechanisms, conducting drug sensitivity tests, and developing targeted therapies.However, the effect of ACPs at the organoid level in ICC remains unknown. Therefore, this study aims to explore the potential of ACPs in treating ICC using patient-derived organoids as a model system to evaluate their efficacy and optimize therapeutic strategies.MethodsWe designed and synthesised a novel ACP sequence and applied it to a patient-derived organoids (PDOs) model. Organoids were evaluated using histochemistry analysis and whole-exome sequencing. ACPs were compared with representative chemotherapeutic drugs, including sorafenib and gemcitabine, to assess treatment differences. Additionally, scanning electron microscopy and flow cytometry were performed for further mechanistic analyses.ResultsOrganoid models exhibited histological characteristics similar to those of maternal tumours, especially showing strong positivity for EpCAM and KRT19 expression. Furthermore, whole-exome sequencing of the primary tumour and derived organoids revealed that PDOs closely recapitulated the genomic similarities of the primary tumour across multiple levels. Drug response analyses revealed that ACPs exhibited highly efficient anti-tumour effects, with specific differences observed between patients. ACPs affected the growth of tumour cells and exerted anticancer effects through direct membrane disruption and indirect induction of apoptosis.ConclusionIn this study, organoids derived from patients with ICC were established. Thisin vitromodel provides valuable tools for evaluating the therapeutic response of ACPs and offers novel insight for the study of ICC.
Heterogenous mitochondrial ultrastructure and metabolism of human glioblastoma cells: differences between stem-like and differentiated cancer cells in response to chemotherapy
Authors: Bogataj Urban , Novak Metka , Galun Simona Katrin , Fon Tacer Klementina , Vittori Miloš , Van Noorden Cornelis J.F. , Breznik Barbara 
Published: February 2025

AbstractBackgroundGlioblastoma stem-like cells (GSCs) contribute to the resistance of glioblastoma (GBM) tumors to standard therapies. The cellular and molecular background of the resistance of GSCs to the chemotherapeutic agent temozolomide is not yet fully understood, in particular in the context of cellular metabolism and the role of mitochondria. The aim of this study was to perform a detailed ultrastructural characterization of the mitochondria of GSCs prior and post temozolomide exposure and to compare it to differentiated GBM cells.MethodsPatient-derived and established GSC and GBM differentiated cell lines were used for the study. The ultrastructure of the mitochondria of the examined cell lines was assessed by transmission electron microscopy. The microscopic analysis was complemented and compared by an analysis of cell metabolism using cell viability assay and extracellular flux analysis using Seahorse assay.ResultsWe found that the metabolic profile of GSCs is quiescent and aerobic. Their elongated mitochondria with highly organized cristae is indicating increased biogenesis and mitochondrial fusion and corresponds to a more OXPHOS-dependent metabolism. The metabolism of GSCs is dependent on OXPHOS and there are no changes in defective mitochondria fraction after the treatment with temozolomide. In contrast, differentiated GBM cells with fragmented mitochondria, which have less organized cristae, are more energetic and glycolytic. Temozolomide treatment induced significant ultrastructural mitochondrial damage in differentiated GBM cells and had less effect on mitochondria in GSCs, suggesting that mitochondria play an important role in the resistance of GSCs to temozolomide treatment.ConclusionsWe demonstrated differences in mitochondrial ultrastructure and cellular metabolism between GSCs and differentiated GBM cells in response to temozolomide. This study provides a basis for further studies addressing the chemotherapy resistance of GSCs and the effects of different treatment regimens on the mitochondrial structure and function of GSCs.Graphical Abstract
Industry 4.0 in emerging markets: a bibliometric review of the managerial literature and research agenda
Authors: Tomás-Miquel José-Vicente , Maldonado-Gómez Gabriel , Capó Vicedo Jordi 
Published: February 2025

PurposeThis paper aims to systematically review the managerial literature on Industry 4.0 (I4.0) in emerging markets (EMs) through bibliometric analyses to identify incipient research streams and literature gaps and recommend avenues for future research.Design/methodology/approachThis research uses bibliographic coupling analysis (BCA) to obtain a comprehensive view of the intellectual contours within the addressed literature. The primary source utilised is the Web of Science database. A total of 345 peer-reviewed journal articles were retrieved. Complementing BCA, we use social network analysis and the content analysis of articles to study the resulting literature clusters.FindingsThe results reveal four thematic clusters: (1) Adoption of I4.0 in EMs; (2) impact of I4.0 on organisational aspects and financial performance of companies and supply chains in EMs; (3) I4.0, lean management and operational performance in EMs and (4) I4.0 and the development of sustainable practices in EMs. We supplement these results with the proposal of different future avenues of research, both general and specific, for each identified cluster.Research limitations/implicationsThe current study has certain limitations arising from using the bibliometric method and techniques employed in the analyses.Originality/valueTo the best of the authors’ knowledge, there is no comprehensive literature review article on this subject. This research is deemed valuable for future scholars as it facilitates the identification of research fronts that define the forefront of knowledge, reveals current trends and sets the stage for further exploration of key issues in the field. This, in turn, can offer valuable insights to academics, policymakers and practitioners.
Digital technologies and Chinese digital firms’ green innovation
Authors: Liu Tianhao , Liu Junjie , Li Qianying , He Shuting 
Published: February 2025

Purpose
The purpose of this study is to advance the understanding of digitalization–sustainability relationships in the digital age. Specifically, this study aims to test the link between Chinese digital firms’ adoption of digital technologies and green innovation. This study highlights the peculiarities of digital firms related to green innovation and how the adoption of digital technologies contributes to the sustainable development agenda.

Design/methodology/approach
This study empirically examines the impact of digital technologies on green innovation outcomes in publicly listed digital firms in China from 2010 to 2020. Using panel data from the China Stock Market and Accounting Research Database (CSMAR) and the Chinese Research Data Services Platform, the authors estimate regression models and find support for the hypotheses.

Findings
The authors find that the digitalization level of firms has a positive impact on corporate green innovation. In addition, this relationship is positively moderated by the level of internationalization in the firms. Moreover, the results of this study past the robustness and endogeneity checks.

Originality/value
This study provides novel insights into the green innovation of digital firms by analyzing the knowledge management capabilities of digital firms as well as the impact of the level of internationalization on knowledge acquisition and management (i.e. boundary conditions). Specifically, the findings of this study provide a new context to encourage study on green innovation. Moreover, this study enriches the literature on corporate digitalization and the factors influencing corporate green innovation.
Uptake of Industry 4.0 technologies in Australian construction firms
Authors: Perera C. Savindi Ranthika , Francis Valerie , Gao Shang 
Published: February 2025

PurposeIndustry 4.0 in the construction industry (CI), also known as Construction 4.0, transforms construction projects into digital environments, integrating advanced technologies throughout each stage. This study investigated the application, maturity and adoption interest of 14 Industry 4.0-related technologies in the CI (Con4.0-tech) in Australian construction firms.Design/methodology/approachUsing purposive and snowball sampling, data was collected via 19 semi-structured interviews with directors, managers, innovation officers, etc. Data was then content analysed using NVivo software.FindingsThe study revealed five key application areas for Con4.0-tech: real-time data capture, digital communication, data analysis, visualisation and off-site construction. While the level of technology use varied, the research suggests a clear shift towards technology-driven practices in Australian construction. An interesting finding is the direct correlation between technology maturity and its use. Construction firms demonstrated a stronger preference for established technologies with proven value. Notably, innovative firms actively explore new technologies, while others wait for broader industry adoption before integrating them.Originality/valueThis research uniquely explores the adoption of Con4.0-tech within Australian construction firms, providing a novel perspective on current industry practices. The empirical evidence offers valuable implications for driving technological advancement and enhancing construction project delivery.
Identifying critical factors that affected construction project performance during COVID-19
Authors: Pamidimukkala Apurva , Kermanshachi Sharareh , Adepu Nikhitha 
Published: February 2025

PurposeConstruction projects were significantly and negatively impacted by the COVID-19 pandemic, and many researchers have examined the factors that affected the performance and resilience of construction projects during that critical and unusual time. Unlike this study, however, these studies were broad in their approach and provided general overviews of the unique problems caused by the virus. This study is more specific in its approach, as it both identifies the critical elements of the compromised performance and resilience of construction during this time and explores the interplay between them.Design/methodology/approachA survey was developed to gather information about why the resilience and performance of construction projects were so negatively impacted by COVID-19. Three types of analysis were employed to examine the 131 responses received: robust relative importance index (RII), agreement and correlation.FindingsThe RII analysis revealed that the main contributing factor was the unavailability of materials. The agreement analysis highlighted the relative unimportance of the scale and type of the organization, and the correlation analysis divulged strong relationships between some of the factors, such as skilled labor deficits and diminished labor efficiency, logistical constraints and availability of materials.Originality/valueThe insights provided by this study will equip construction industry stakeholders, policymakers and researchers with valuable guidelines for making decisions and maintaining resilience amid disruptions. It will also provide a framework for future studies and interventions aimed at fortifying the construction industry against similar crises.
Do robots impact artificial intelligence (AI)-related employment? Evidence from a cross-national study
Authors: Das Khanindra Ch. , Rani Neelam , Bodhi Rahul , Yaqub Muhammad Zafar 
Published: February 2025

PurposeThe advancement of artificial intelligence (AI) and robotics helps firms achieve seamless production, distribution and service delivery. This study uses a sample of developed and developing countries to examine the impact of robots on AI-related employment.Design/methodology/approachThe present study underlies cross-country evidence using a sample of 28 countries between 2016 and 2022. The source data are captured from the Artificial Intelligence Index Report, Statista, World Intellectual Property Organization, World Development Indicators and World Governance Indicators. We employed panel data techniques for analysis purposes.FindingsThis study unravels the impact of robot use on AI employment in developed and emerging economies. The dynamic panel threshold regression models support the contention that the effects of robots on AI employment are more complex than they are made to be. The impact varies below and above the threshold of country-specific variables such as internet penetration, innovation parameters, gross domestic product (GDP) per capita and labor force quality.Originality/valueThis study offers new perspectives on robot and AI-related employment by utilizing a sample of developed and developing countries. It considers the inclusion of country-specific variables. The study provided insights into the economic value creation by labor that would be shaped by the threshold of technological infrastructure, economic conditions and governance standards of countries, thereby contributing to the employment relations literature.
Being healthy and achieving life harmony: the role of hybrid work and the mediating effect of work–family[with pets] conflict
Authors: Junça Silva Ana 
Published: February 2025

PurposeThe recent workplace dynamics era allowed many organizations to adopt the hybrid working model. However, despite the growing relevance of telework for diverse outcomes, few studies have explored hybrid work. Therefore, this research was based on the role theory and the job demands-resources model to develop a conceptual model arguing that hybrid work may potentially influence employees’ life harmony and mental health through decreases in work–family conflict. Moreover, answering the call for more studies on the role of families with pets regarding work-life boundaries, it is also proposed that hybrid work may potentially influence employees’ harmony and mental health through decreases in work–[pet]family conflict.Design/methodology/approachTo achieve this objective, two studies were conducted. The first was a two-wave study carried out in 2023, involving 376 hybrid workers who completed two online surveys. The second study, also two-wave, was conducted in 2024 and included 479 working adults who participated in the research through online data collection.FindingsThe findings of the first study showed that individuals working in a hybrid model tended to experience less work–family conflict, consequently increasing their harmony and mental health. The second study also evidenced that those working in a hybrid modality had higher levels of harmony in life and mental health due to decreases in their work–[pet]family conflict.Originality/valueThe results highlight the importance of this working modality for employees’ mental health and well-being. Plus, it also opens future venues for research regarding work–[pet]family conflict, as it appears to be a relevant construct for modern families and younger generations of working adults.
Robust exponential visual regulation of wheeled mobile robots based on active disturbance rejection control
Authors: Huang Yao , Zhang Lidong , Chu Zhenzhong 
Published: February 2025

Purpose
This paper aims to propose an active disturbance rejection control (ADRC)-based visual servoing strategy for regulating a wheeled mobile robot from varying initial poses to a desired pose at an exponential rate. It addresses challenges associated with non-holonomic constraints, uncertain depth information and unknown translational parameters in monocular vision systems.

Design/methodology/approach
The uncertain depth information in monocular vision and unknown camera-to-robot translational parameters are modeled as internal uncertainties of the visual servo system. An input-state scaling technique is used to decouple the system into two subsystems, controlled by angular and linear velocities, respectively. The angular velocity controller is designed to ensure strict exponential convergence, while the internal parametric and bounded uncertainties of the system are estimated and compensated for by an extended state observer and a switching linear velocity controller.

Findings
The separate design of the angular and linear velocity controllers effectively overcomes the non-holonomic constraints of the mobile robot, ensuring robust performance under diverse conditions. Furthermore, the ADRC-based strategy successfully handles uncertain depth information and unknown translational parameters. The convergence of the error system is rigorously proven using Lyapunov theory, and simulation results verify the effectiveness of the proposed scheme.

Originality/value
To the best of the authors’ knowledge, this study introduces, for the first time, a novel approach that combines ADRC with visual servoing for non-holonomic mobile robots. This approach enhances the adaptability and accuracy of the robot’s navigation in environments characterized by unknown system uncertainties. The proposed method demonstrates enhanced practical performance over conventional techniques by effectively managing the inherent uncertainties of the system.