bluuebunny/crossref_metadata_2025_split huggingface dataset:
Heme biosynthesis regulates BCAA catabolism and thermogenesis in brown adipose tissue
Authors: Duerre Dylan J. , Hansen Julia K. , John Steven , Jen Annie , Carrillo Noah , Bui Hoang , Bao Yutong , Fabregat Matias , Overmeyer Katherine , Shishkova Evgenia , Keller Mark P. , Anderson Richard A. , Cryns Vincent L. , Attie Alan D. , Coon Joshua J. , Fan Jing , Galmozzi Andrea 
Published: November 2023

ABSTRACTWith age, people tend to accumulate body fat and reduce energy expenditure1. Brown (BAT) and beige adipose tissue dissipate heat and increase energy expenditure via the activity of the uncoupling protein UCP1 and other thermogenic futile cycles2,3. The activity of brown and beige depots inversely correlates with BMI and age4–11, suggesting that promoting thermogenesis may be an effective approach for combating age-related metabolic disease12–15. Heme is an enzyme cofactor and signaling molecule that we recently showed to regulate BAT function16. Here, we show that heme biosynthesis is the primary contributor to intracellular heme levels in brown adipocytes. Inhibition of heme biosynthesis leads to mitochondrial dysfunction and reduction in UCP1. Although supplementing heme can restore mitochondrial function in heme-synthesis-deficient cells, the downregulation of UCP1 persists due to the accumulation of the heme precursors, particularly propionyl-CoA, which is a product of branched-chain amino acids (BCAA) catabolism. Cold exposure promotes BCAA uptake in BAT, and defects in BCAA catabolism in this tissue hinder thermogenesis17. However, BCAAs’ contribution to the TCA cycle in BAT and WAT never exceeds 2% of total TCA flux18. Our work offers a way to integrate current literature by describing heme biosynthesis as an important metabolic sink for BCAAs.
Cortical ductility governs cell-cell adhesion mechanics
Authors: Arora Aditya , Rizvi Mohd Suhail , Grenci Gianluca , Dilasser Florian , Fu Chaoyu , Ganguly Modhura , Vaishnavi Sree , Paramsivam Kathirvel , Budnar Srikanth , Noordstra Ivar , Yap Alpha S. , Viasnoff Virgile 
Published: November 2023

AbstractThis paper challenges our understanding of cell-cell adhesion by emphasising the role of mechanical dissipation at the cellular level. We have developed new microdevices to measure the energy dissipated during the rupture of junctions between cell-cell doublets. Using a synthetic cadherin approach, we decoupled the role of cadherin binding energy, signalling and downstream regulation of cytoskeletal architecture. This yielded a phase diagram in which cell junctions transition from a ductile to a brittle fracture mode based on their ratio of cortical tension and shape relaxation time. We recapitulated our results using a descriptive mechanical simulation approach. Our results shift our understanding of cell-cell adhesion from the current focus on bond energy and tension to the key role played by energy dissipation in the cytoskeleton during junction deformation and its active mechanosensitive regulation.
Rescuing error control in crosslinking mass spectrometry
Authors: Fischer Lutz , Rappsilber Juri 
Published: November 2023

AbstractCrosslinking mass spectrometry is a powerful tool for studying protein-protein interactions under native or near native conditions in complex mixtures. By help of novel search controls, we show that measures that aim to improve the number of identifications based on heuristic considerations can undermine error estimation in non-obvious ways. The relationship between decoys and false positives is very sensitive to the injection of information that favour likely correct matches. We identify a wider challenge in crosslinking data analysis tools with maintaining the decoy-false positive relationship, and exemplify this with the filtering of results based on the information of which proteins can be observed as having reacted with the crosslinker. Without correcting for this problem, we could identify an average of 260 interspecies protein-protein interactions in 16 analyses, “solidly” suggesting groundbreaking biological connections that don’t actually exist. We also show how data analysis procedures can be tested and modified to rescue the decoy-false positive relationship. The importance of this relationship for reliably identifying protein-protein interactions cannot be overstated.
Transformation in Indian health care: the Tata 1mg merger story
Authors: Aqeel Ubada , Gera Shikha 
Published: November 2023

Learning outcomes
This case study would enable students to understand the concept, process and advantages of mergers and acquisitions as a growth strategy with respect to 1mg. Also, the students would be able to use the threats, opportunities, weaknesses and strengths matrix to map 1mg’s strengths, weaknesses, opportunities and threats.

Case overview/synopsis
This case study analyses the transformation journey of 1mg to Tata 1mg, one of the most trusted internet pharmacies in India. This case describes a small start-up that was launched in 2013 and had made many acquisitions since then. This case revolves around Tata Digital’s purchase of 1mg. The case starts out by explaining 1mg’s financial situation and why the company was acquired. This case study focuses on how the integration helped Tata Digital and 1mg realize their respective missions. Furthermore, the case study illustrates the benefits and difficulties of this integration.

Complexity academic level
This case study is basically aimed at postgraduate management students; it can be used in strategic management and health-care courses. Students can understand the concept of diversification and acquisition with the help of this case study. Students can also gain an insight into the organic and inorganic diversification as a growth strategy.

Supplementary materials
Teaching notes are available for educators only.

Subject code
CSS 11: Strategy.
Digital transformation or not? Manufacturer's selection strategy under carbon cap-and-trade mechanism
Authors: Chen Anhang , Zhang Huiqin , Zhang Yuxiang , Zhao Junwei 
Published: November 2023

Purpose The digital economy is profoundly transforming the manufacturing industry's fundamental concepts and value creation logic, making digital transformation (DT) strategy a crucial decision for manufacturers. And faced with increasingly severe environmental issues, DT may become an important means to achieve sustainable development. This paper mainly discusses the strategic choice of the manufacturer's DT and analyzes the impact of DT on carbon emissions.Design/methodology/approach Based on the carbon cap-and-trade mechanism, the authors have constructed two decision models to study the DT strategy of the manufacturer, further exploring the impact of the mechanism on the DT strategy and production strategy of the manufacturer. Finally, the authors discussed the effect of manufacturers' DT on their carbon emissions.Findings The authors found that the manufacturer should initiate DT to enhance their competitiveness, regardless of whether they are in a low digital technology scenario or a high digital technology scenario. Notably, DT can enhance the ability of the manufacturer to respond to external emergencies. In a low digital technology market scenario, both carbon emissions per unit of product and carbon price are positively affecting the digitization level of the manufacturer. In a high digital technology market scenario, the manufacturer will initiate a full degree of DT. Moreover, the impact of DT on total carbon emissions varies in markets with different levels of digital technology.Originality/value Innovatively, the authors divided the DT of the manufacturer into market scenarios with low digital technology and high digital technology. Provide the manufacturer with DT decisions according to different scenarios. At the same time, it verifies the uncertainty of DT on carbon emission and enriches the related research.
Effectiveness criteria of suspicious transaction reporting for early detection of terrorist financing activities
Authors: Gowhor Hussain Syed 
Published: November 2023

Purpose
This study aims to evaluate the suspicious transaction reporting (STR) as a financial intelligence tool to identify the potential strengths and limitations of STR and to come up with the criteria, which will make this tool an effective one in early detection of terrorist financing activities.

Design/methodology/approach
Considering the research aim, this research uses the funnelling method for identifying effectiveness criteria. Funnelling is a method of literature review that helps find pertinent literature by refining the search through filtering the available research (Ridley, 2008). Using this method, the researcher first applied the criteria of actionable intelligence to filter the financial intelligence tools to select the most promising and important tool (suspicious transaction reporting) for early detection of terrorist financing activities. The funnelling method was also applied to derive the effectiveness criteria from the operational features, and corresponding limitations, of the suspicious transaction reporting system. The funnelling method was also used to identify those operational features and limitations of suspicious transaction reporting that have the most direct relevance to the early detection problem of suspicious transaction reporting.

Findings
There are some operational features of STR that give rise to certain limitations that undermine its effectiveness in terms of early detection of terrorist financing activities. The limitations of STR necessitate a search for criteria that will make STR effective in early detection of terrorist financing activities. Based on the operational features and their corresponding limitations, effectiveness criteria for STR have been derived in this study. It is shown how these effectiveness criteria can remove the limitations of STR.

Research limitations/implications
The list of operational features and the corresponding limitations based on which the effectiveness criteria have been derived may not be exhaustive. There may have other operational features, and corresponding limitations that also make STR largely ineffective in the early detection of terrorist financing activities, and for which more effectiveness criteria should also be derived.

Practical implications
The limitations and the effectiveness criteria will pave the way for redesigning STR in such a way that will make it highly useful for detecting financing activities relating to imminent terrorist attacks.

Social implications
The society will experience fewer terrorist attacks that will make the society peaceful, happy and vibrant.

Originality/value
In this study, the effectiveness criteria of STR for early detection of terrorist financing activities have been derived in an innovative way by deducing them from the operational features of STR and the corresponding limitations.
Empathic accuracy in artificial intelligence service recovery
Authors: Xu Xing’an , Wen Najuan , Liu Juan 
Published: November 2023

Purpose
Artificial intelligence (AI) agents have been increasingly applied in the tourism and hospitality industry. However, AI service failure is inevitable. Thus, AI service recovery merits empirical investigation. This study aims to explore how AI empathic accuracy affects customers’ satisfaction in the context of AI service recovery.

Design/methodology/approach
A moderated mediation model was presented to describe the effect of empathic accuracy on customer satisfaction via four scenario-based experiments.

Findings
The results reveal the positive impact of AI empathic accuracy on customer satisfaction and the mediating effects of perceived agency and perceived experience. Moreover, anthropomorphism moderates the empathic accuracy effect.

Originality/value
This paper expanded AI service studies by exploring the significance of empathic accuracy in customer recovery satisfaction. The results provide a novel theoretical viewpoint on retaining customers following AI service failure.
Connectivity and short‐term flood interactively affect fish community composition in drainage ditches of paddy fields in an agricultural landscape
Authors: Iwamoto Hideyuki , Tahara Daisuke , Yoshida Takehito 
Published: November 2023

AbstractCommunity assembly can change over time following variations in connectivity among habitats. Previous studies have demonstrated the influence of seasonal pulse floods on community structures by facilitating species dispersal, but the effects of short‐term flash floods have been poorly investigated. We investigated fish community structures before and after a short‐term flood in drainage ditches of paddy fields in the Kita River basin, Japan. The study sites were classified into three connectivity types, “Transient” (connected only during the flood, with a temporally disappearing vertical gap between drainage ditches and downstream rivers), “Connected” (always connected, without the vertical gap), and “Disconnected” (always not connected, with the vertical gap). The abundance of Misgurnus anguillicaudatus, the only species that dispersed from paddy fields to drainage ditches, increased after the flood irrespective of the connectivity types, although the total abundance of the other species significantly increased after the flood only in the “Transient” sites. The dissimilarity of species composition between the (n − 1)‐th and n‐th surveys at each site was consistently low in the “Connected” and “Disconnected” sites, whereas it rose just after the flood and gradually declined in the “Transient” sites. Species composition was significantly different among the connectivity types, indicating that some fish species need stable connectivity even during the non‐flood period. The results showed that the short‐term flood facilitated fish dispersal from paddy fields by the increased water discharge and that from downstream rivers by the temporary removal of vertical gap, emphasizing the importance of hydrological connectivity for biodiversity conservation in an agricultural landscape.
Impact of fiscal decentralisation on economic growth in Vietnam—A spatial regression approach
Authors: Oanh Tran Thi Kim 
Published: November 2023

AbstractApproaching by spatial regression method, this study examines the impact of fiscal decentralisation on economic growth in 63 provinces/cities of Vietnam in the period 2010–2020. Findings suggest that, in general, revenue decentralisation and expenditure decentralisation not only have a positive impact on the economic growth of provinces/cities but also have spillover effects on other locations in improving GRDP per capita. The above findings provide some important policy implications for improving fiscal decentralisation to promote economic growth in Vietnam.
Eliminating health care inequities through strengthening access to care
Authors: Jindal Monique , Chaiyachati Krisda H. , Fung Vicki , Manson Spero M. , Mortensen Karoline 
Published: November 2023

AbstractObjectiveTo provide a research agenda and recommendations to address inequities in access to health care.Data Sources and Study SettingThe Agency for Healthcare Research and Quality (AHRQ) organized a Health Equity Summit in July 2022 to evaluate what equity in access to health care means in the context of AHRQ's mission and health care delivery implementation portfolio. The findings are a result of this Summit, and subsequent convenings of experts on access and equity from academia, industry, and the government.Study DesignMulti‐stakeholder input from AHRQ's Health Equity Summit, author consensus on a framework and key knowledge gaps, and summary of evidence from the supporting literature in the context of the framework ensure comprehensive recommendations.Data Collection/Extraction MethodsThrough a stakeholder‐engaged process, themes were developed to conceptualize access with a lens toward health equity. A working group researched the most appropriate framework for access to care to classify limitations identified during the Summit and develop recommendations supported by research in the context of the framework. This strategy was intentional, as the literature on inequities in access to care may itself be biased.Principal FindingsThe Levesque et al. framework, which incorporates multiple dimensions of access (approachability, acceptability, availability, accommodation, affordability, and appropriateness), is the backdrop for framing research priorities for AHRQ. However, addressing inequities in access cannot be done without considering the roles of racism and intersectionality. Recommendations include funding research that not only measures racism within health care but also tests burgeoning anti‐racist practices (e.g., co‐production, provider training, holistic review, discrimination reporting, etc.), acting as a convener and thought leader in synthesizing best practices to mitigate racism, and forging the path forward for research on equity and access.ConclusionsAHRQ is well‐positioned to develop an action plan, strategically fund it, and convene stakeholders across the health care spectrum to employ these recommendations.
Association of antibiotic exposure with survival in patients with extensive‐stage small cell lung cancer receiving immune checkpoint inhibitor therapy
Authors: Zhong Jiaqi , Xiong Dali , Liu Yu , Yuan Shuanghu 
Published: November 2023

AbstractBackgroundImmune checkpoint inhibitors (ICIs) have dramatically shifted the therapeutic paradigm of extensive‐stage small cell lung cancer (ES‐SCLC). Antibiotic (ATB) exposure before or during ICI therapy can harm the integrity of the gut microbiome and lead to intestinal dysbiosis, which has a profoundly negative impact on the treatment response for various malignancies. Whether this is applicable to ES‐SCLC remains unclear.MethodsWe retrospectively reviewed the electronic medical records of all patients diagnosed with ES‐SCLC who were treated with ICI‐based immunotherapies from July 2019 to December 2020 at Shandong Cancer Hospital and Institute, China. Outcomes with the use of ATBs before or after the first infusion of ICI, including progression‐free survival (PFS) and overall survival (OS), were investigated using the Kaplan–Meier method. Multivariate analyses were also conducted using a Cox proportional hazards model.ResultsA total of 214 patients were included, among whom 41 (19.2%) received ATBs within 2 months before or after the first initiation of ICI therapy and were assigned to the ATB group. The ATB group showed a shorter median PFS (4.3 vs. 6.3 months; HR = 1.43, 95% CI: 0.97–2.11; p = 0.043) and a significantly shorter median OS (6.9 vs. 13 months; HR = 1.47, 95% CI: 0.98–2.20; p = 0.033) than the non‐ATB group. In the multivariate analysis, ATB exposure was markedly associated with worse PFS (HR = 1.47, 95% CI: 1.03–2.09, p = 0.035) and OS (HR = 1.46, 95% CI: 1.01–2.11, p = 0.043).ConclusionsOur results demonstrate that ATB exposure was significantly associated with worse survival in ES‐SCLC patients who received ICI therapy.
Middle range theory for the nursing phenomenon Ineffective social support network
Authors: de França Michelline Santos , Linhares Francisca Márcia Pereira , Marques Gomes Mendes Ryanne Carolynne , Lopes Marcos Venícios de Oliveira , de Queiroz Frazão Cecília Maria Farias , de Maria Alves de Sousa Santana , Pontes Cleide Maria 
Published: November 2023

AbstractPurposeTo describe a middle range theory (MRT) with conceptual and explicative capacity of cause and effect situations of Ineffective social support network in nursing.Data sourcesDescriptive study developed through the Lopes, Silva, and Herdman theoretical‐causal validity method, using five steps for theory construction: definition of the approach for constructing the MRT, definition of the main concepts, development of the pictorial diagram, construction of propositions, and establishment of causal relationships and evidence for practice. The foundation of these steps and the development of a predictive nursing theory occurred through Sanicola's Social Network Theory combined with studies from an integrative literature review using the six steps proposed by Whittemore and Knafl.Data synthesis—findingsThe theory presents etiological factors and clinical indicators for Ineffective social support network, connecting situations related to the person, the members and the configuration of this network, and external situations. The pictogram, symbolically created, represents the hierarchical classification of proximal, intermediate, and distal etiological factors, and their relationship with clinical indicators.ConclusionsThe MRT, predictive for the nursing phenomenon Ineffective social support network, provides understanding of the person from an interpersonal perspective, which interferes with and is affected by a network of virtues and vicissitudes, and has negative influences on health outcomes. Due to its practical vocation, this theory represents an advance in the science and praxis of nursing.Implications for clinical practiceThe findings of this study will contribute to the understanding of the nursing phenomenon Ineffective social support network and consequently support the identification of the nursing diagnosis Ineffective social support network, proposed for inclusion in the NANDA‐I classification.
Immune checkpoint inhibitor‐induced lichenoid drug eruption‐sparing scar burns
Authors: Truong Kelvin , Chamberlin Charmaine Vanessa , Kim Jennifer , Carlino Matteo S. , Araujo Raquel Ruiz 
Published: November 2023

AbstractThe authors present a striking case of a patient experiencing a lichenoid drug eruption secondary to immunotherapy, curiously sparing scarred skin from past burns. We observed vastly higher amounts of inflammatory lymphoid cells staining for PD‐1; 70% in skin with a lichenoid drug reaction and 50% in scarred skin. The lack of a lichenoid reaction at sites of scarred skin may indicate that a basement membrane component may be causative for a lichenoid drug eruption.
DistSNE: Distributed computing and online visualization of DNA methylation‐based central nervous system tumor classification
Authors: Schmid Kai , Sehring Jannik , Németh Attila , Harter Patrick N. , Weber Katharina J. , Vengadeswaran Abishaa , Storf Holger , Seidemann Christian , Karki Kapil , Fischer Patrick , Dohmen Hildegard , Selignow Carmen , von Deimling Andreas , Grau Stefan , Schröder Uwe , Plate Karl H. , Stein Marco , Uhl Eberhard , Acker Till , Amsel Daniel 
Published: November 2023

AbstractThe current state‐of‐the‐art analysis of central nervous system (CNS) tumors through DNA methylation profiling relies on the tumor classifier developed by Capper and colleagues, which centrally harnesses DNA methylation data provided by users. Here, we present a distributed‐computing‐based approach for CNS tumor classification that achieves a comparable performance to centralized systems while safeguarding privacy. We utilize the t‐distributed neighborhood embedding (t‐SNE) model for dimensionality reduction and visualization of tumor classification results in two‐dimensional graphs in a distributed approach across multiple sites (DistSNE). DistSNE provides an intuitive web interface (https://gin-tsne.med.uni-giessen.de) for user‐friendly local data management and federated methylome‐based tumor classification calculations for multiple collaborators in a DataSHIELD environment. The freely accessible web interface supports convenient data upload, result review, and summary report generation. Importantly, increasing sample size as achieved through distributed access to additional datasets allows DistSNE to improve cluster analysis and enhance predictive power. Collectively, DistSNE enables a simple and fast classification of CNS tumors using large‐scale methylation data from distributed sources, while maintaining the privacy and allowing easy and flexible network expansion to other institutes. This approach holds great potential for advancing human brain tumor classification and fostering collaborative precision medicine in neuro‐oncology.