bluuebunny/crossref_metadata_2025_split huggingface dataset:
Delineating mouse β-cell identity during lifetime and in diabetes with a single cell atlas
Authors: Hrovatin Karin , Bastidas-Ponce Aimée , Bakhti Mostafa , Zappia Luke , Büttner Maren , Sallino Ciro , Sterr Michael , Böttcher Anika , Migliorini Adriana , Lickert Heiko , Theis Fabian J. 
Published: December 2022

AbstractMultiple pancreatic islet single-cell RNA sequencing (scRNA-seq) datasets have been generated to study development, homeostasis, and diabetes. However, there is no consensus on cell states and pathways across conditions as well as the value of preclinical mouse models. Since these challenges can only be resolved by jointly analyzing multiple datasets, we present a scRNA-seq cross-condition mouse islet atlas (MIA). We integrated over 300,000 cells from nine datasets with 56 samples, varying in age, sex, and diabetes models, including an autoimmune type 1 diabetes (T1D) model (NOD), a gluco-/lipotoxicity T2D model (db/db), and a chemical streptozotocin (STZ) β-cell ablation model. MIA is a curated resource for interactive exploration and computational querying, providing new insights inaccessible from individual datasets. The β-cell landscape of MIA revealed new disease progression cell states and cross-publication differences between previously suggested marker genes. We show that in the STZ model β-cells transcriptionally correlate to human T2D and mouse db/db, but are less similar to human T1D and mouse NOD. We observe different pathways shared between immature, aged, and diabetes model β-cells. In conclusion, our work presents the first comprehensive analysis of β-cell responses to different stressors, providing a roadmap for the understanding of β-cell plasticity, compensation, and demise.
Peripheral blood mononuclear cells exhibit increased mitochondrial respiration after adjuvant chemo- and radiotherapy for early breast cancer
Authors: Christensen Ida Bager , Ribas Lucas , Buch-Larsen Kristian , Marina Djordje , Larsen Steen , Schwarz Peter , Dela Flemming , Gillberg Linn 
Published: December 2022

AbstractBackgroundAdjuvant chemo- and radiotherapy cause cellular damage not only to cancerous but also to healthy dividing cells. Antineoplastic treatments have been shown to cause mitochondrial respiratory dysfunction in non-tumorous tissues, but the effects on circulating human peripheral blood mononuclear cells (PBMCs) remain unknown.AimWe aimed to identify changes in mitochondrial respiration of PBMCs after adjuvant chemo- and radiotherapy in postmenopausal early breast cancer (EBC) patients and relate these to metabolic parameters of the patients.MethodsTwenty-three postmenopausal women diagnosed with EBC were examined before and shortly after chemotherapy treatment often administered in combination with radiotherapy (n=18). Respiration (O2flux per million PBMCs) was assessed by high-resolution respirometry of intact and permeabilized PBMCs. Clinical metabolic characteristics were furthermore assessed.ResultsRespiration of intact and permeabilized PBMCs from EBC patients was significantly increased after adjuvant chemo- and radiotherapy (p=6×10−5andp=1×10−7, respectively). The oxygen flux attributed to specific mitochondrial complexes and respiratory states increased by 17-43% compared to before therapy commencement. Leukocyte counts (p=1×10−4), hemoglobin levels (p=0.0003), and HDL cholesterol (p=0.003) decreased while triglyceride (p=0.01) and LDL levels (p=0.02) increased after treatment suggesting a worsened metabolic state. None of the metabolic parameters correlated significantly with PBMC respiration.ConclusionThis study shows that mitochondrial respiration in circulating PBMCs is significantly increased after adjuvant chemo- and radiotherapy in postmenopausal EBC patients. The increase might be explained by a shift in PBMC subpopulation proportions towards cells relying on oxidative phosphorylation rather than glycolysis or a generally increased mitochondrial content in PBMCs. Both parameters might be influenced by therapy-induced changes to the bone marrow or vascular microenvironment wherein PBMCs differentiate and reside.
Upper limb rehabilitation after stroke: constraint versus intensive training. A longitudinal case-control study correlating motor performance with fMRI data
Authors: Bellaiche Soline , Ibarolla Danielle , Redouté Jérôme , Comte Jean-Christophe , Medée Béatrice , Arsenault Lisette , Mayel Audrey , Revol Patrice , Delporte Ludovic , Cotton François , Rode Gilles , Rossetti Yves , Boisson Dominique , Beaudoin-Gobert Maude , Luauté Jacques 
Published: December 2022

AbstractBackgroundThe reproducible beneficial effect of constraint-induced movement therapy (CIMT) in hemiparetic stroke patients makes it a good model to study brain plasticity during rehabilitation procedures.ObjectiveAssess the functional brain reorganization induced by each of the two components of CIMT: (i) non-affected upper-limb constraint and (ii) intensive training of the paretic arm.MethodsBrain activity of a right hemiparetic chronic stroke patient and of 10 healthy controls was recorded with a functional magnetic resonance imaging (fMRI) during a finger opposition task. For the patient, a total of 8 assessments were performed, before and after each component of CIMT. At each time point, brain activity during movement was compared with rest. Patient’s results were first compared to the control group and then correlated to motor performance across sessions.ResultsConstraint-therapy-related improvement was correlated with a decrease of cerebral activity in sensory-motor regions of both the affected and the non-affected hemispheres. Intensive-therapy-related improvement was correlated with the recruitment of pre-motor cortices and cerebellum in both hemispheres.ConclusionsTwo different patterns of brain activity underlie the effects of intensive training and constraint which could account for the respective effect of each component of the therapy.
Retrieving the near-complete genome of a threatened bird from wild frozen samples
Authors: Luo Haoran , Jiang Xinrui , Li Boping , Wu Jiahong , Shen Jiexin , Xu Zaoxu , Zhou Xiaoping , Huang Zhen , Hou Minghao , Ou Xiaobin , Xu Luohao 
Published: December 2022

AbstractConservation genomics often relies on non-invasive methods to obtain DNA fragments which limit the power of multi-omic analyses for threatened species. Collecting samples from frozen dead animals in the wild provides an alternative approach to obtaining high-quality nucleic acids. Here, we report multi-omic analyses based on a well-preserved great bustard individual (Otis tarda, Otidiformes) of a recent death found in the mountainous region in Gansu, China. We generated a near-complete genome assembly (OTswu) having only 18 gaps scattering in 8 out of the 40 assembled chromosomes. Unlikely most other bird genome assemblies, OTswu contains complete chromosome models (2n = 80). We demonstrated that the great bustard genome likely retained the ancestral avian karyotype. We also characterized the DNA methylation landscapes of OTswu which are strongly correlated with GC content and gene expression. Our phylogenomic analysis suggested Otidiformes and Musophagiformes were sister groups that diverged from each other 46.3 million years ago. The genetic diversity of great bustard was found the lowest among the four available Otidiformes genomes, possibly due to population declines during past glacial periods. As one of the heaviest migratory birds, great bustard possesses several expanded gene families related to cardiac contraction, actin contraction, calcium ion signaling transduction, as well as positively selected genes enriching for metabolism. Finally, we identified an extremely young evolutionary stratum on the sex chromosome, a rare case among Neoaves. Together, our study combining long-read sequencing and RNA-seq technology provides a working strategy for conducting multi-omic analyses for threatened species by retrieving high-quality nucleic acids from dead animals frozen in the wild.
Brassicaceae display diverse photorespiratory carbon recapturing mechanisms
Authors: Schlüter Urte , Bouvier Jacques W. , Guerreiro Ricardo , Malisic Milena , Kontny Carina , Westhoff Philipp , Stich Benjamin , Weber Andreas P. M. 
Published: December 2022

AbstractCarbon concentrating mechanisms enhance the carboxylase efficiency of the central photosynthetic enzyme rubisco by providing supra-atmospheric concentrations of CO2in its surrounding. In the C4photosynthesis pathway, this is achieved by combinatory changes to leaf biochemistry and anatomy. Carbon concentration by the photorespiratory glycine shuttle requires fewer and less complex modifications. It could represent an early step during evolution from C3to C4photosynthesis and an inspiration for engineering approaches. Plants displaying CO2compensation points between 10 to 40 ppm are therefore often termed ‘C3–C4intermediates’. In the present study, we perform a physiological, biochemical and anatomical survey of a large number of Brassicaceae species to better understand the C3-C4intermediate phenotype. Our phylogenetic analysis suggested that C3-C4metabolism evolved up to five times independently in the Brassicaceae. The efficiency of the pathways showed considerable variation between the species but also within species. Centripetal accumulation of organelles in the bundle sheath was consistently observed in all C3-C4classified accessions indicating a crucial role of anatomical features for CO2concentrating pathways. Leaf metabolite patterns were strongly influenced by the individual plant accessions, but accumulation of photorespiratory shuttle metabolites glycine and serine was generally observed. Analysis of PEPC activities suggests that C4-like shuttles have not evolve in the investigated Brassicaceae.HighlightOur physiological, biochemical and anatomical survey of Brassicaceae revels multiple evolution of C3-C4intermediacy connected to variation in photorespiratory carbon recapturing efficiency and a distinct C3-C4bundle sheath anatomy.
Drug-eluting biodegradable metals and metal-ceramic composites: High strength and delayed drug release
Authors: Sharipova Aliya , Bakina Olga , Lozhkomoev Aleksandr , Lerner Marat , Gutmanas Elazar , Sosnik Alejandro 
Published: December 2022

AbstractBiodegradable metals emerged as promising temporary bone implants. The integration of additional features such as local drug delivery (LDD) can also support their osteointegration, promote bone regeneration, and prevent biomaterial-centered infections that are difficult to treat. LDD is achieved by drug-eluting coatings or porous implants where the drug is impregnated after implant fabrication because the high temperatures used during conventional production processes would result in their thermal decomposition. We produced biodegradable iron (Fe)-based vancomycin (VH)-eluting metals and metal-ceramic composites by a simple high-pressure consolidation/cold sintering (CS) process at room temperature that display high mechanical strength and antibacterial activity. Aiming to expand the application of this production method and shed light into the drug loading and release mechanisms in this type of biomaterials, this work reports on the production and characterization of VH-loaded Fe and Fe-iron oxide (Fe2O3) composites (Fe-Fe2O3). We use focus ion beam milling for the first time to investigate the drug-metal interface and investigate the mechanical and degradation properties of VH-free and VH-loaded Fe and Fe-Fe2O3. Results show very high mechanical strength of drug-eluting Fe and Fe-Fe2O3composites (up to than 780 MPa under compression, exceeding the maximum strength of cancellous bone more than three times) accompanied by a delayed drug release. Then, we confirm the good antimicrobial activity againstStaphylococcus aureusand cell compatibility with the murine embryonic fibroblast cell line NIH/3T3in vitro. Overall results confirm the promise of drug-eluting metals and metal-ceramic composites for LDD in bone.
What drives attitude, purchase intention and consumer buying behavior toward organic food? A self-determination theory and theory of planned behavior perspective
Authors: Khan Yamna , Hameed Irfan , Akram Umair 
Published: December 2022

PurposeThe current study aims to investigate the impact of various types of motivational factors on consumers' behavior regarding the purchase and consumption of organic food. A favorable attitude among consumers may translate into positive purchase intention and actual buying behavior. For this, variables have been extracted from well-established theories, i.e. self-determination theory (SDT) and theory of planned behavior (TPB), to address the issue more proficiently.Design/methodology/approachA self Administered close-ended questionnaire was distributed to twelve hundred and sixty-five consumers using purposive sampling technique. Seven hundred and eighty-seven responses were retained after preliminary analysis. Partial least squares structural equation modeling (PLS-SEM) was applied using SmartPLS 3 to analyze validity and reliability. Furthermore, 5,000 boot-strapping method was used to test hypotheses.FindingsThe findings of the study suggested that two of the SDT variables [external regulations (ER) and integrated regulation (IR)] lead to a significant impact on “consumers” attitudes, while the effects of intrinsic motivation (IM) and introjected regulation (INR) appeared to be insignificant. All the variables extracted from TPB (attitude, subjective norm, perceived behavioral control, purchase intention, and buying behavior) appeared to have a significant impact, while the trust was found to moderate the relationship between attitude (ATT) and purchase intention (PI). Moreover, the values of Q-square depicted that the combined model had more predictive relevance (BB = 0.153; PI = 0.211), as compared to the TPB model (BB = 0.147; PI = 0.186).Originality/valueMarketers can make use of the study's findings to develop marketing strategies by considering particularly extrinsic motivational influences. Hence, advertising could be used to emphasize extrinsic benefits such as increasing individual self-esteem through social status (positive consequences) and appealing to consumers' desire for communal or societal approval. Such campaigns should also consider external regulatory factors, such as the fear of having hazardous effects on the individual's health due to the use of inorganic and processed food. Furthermore, policymakers can develop a sense of trust in the legitimacy of organic labeling by educating consumers about various organic certifications.
How Russian MNEs navigate institutional complexity at home
Authors: Earl Anna , Michailova Snejina , Stringer Christina 
Published: December 2022

PurposeThis paper examines how Russian multinational enterprises (MNEs) operating in the metallurgical industry strategise under the highly complex conditions of their home institutional environment.Design/methodology/approachThe findings are based on a qualitative multiple-case study of eight Russian metallurgical MNEs that took place in 2014–2015. The authors conducted 34 semi-structured interviews, made observations and took reflexive field notes.FindingsThe analysis reveals that Russian MNEs utilise four different strategies–cooperation, persuasion, avoidance and adaptation–when dealing with federal and regional home governments. These MNEs simultaneously utilise multiple strategies while capitalising on their own organisational attributes.Originality/valueUnlike many other studies, this paper examines institutional complexity within two distinct layers of the Russian Government, regional and federal, rather than considering the aggregate notion of “home government”. The paper also identifies and analyses MNEs’ specific strategies to navigate different layers of institutional complexity.
Examining the marketing performance of the firms from an international dynamic marketing capability perspective: moderating role of marketing leadership team
Authors: Chatterjee Sheshadri , Chaudhuri Ranjan , Vrontis Demetris 
Published: December 2022

PurposeThis study examines the marketing performance of firms from an international dynamic marketing capability perspective. It also investigates the moderating role of marketing leadership teams to improve organizations' international marketing performance.Design/methodology/approachThe authors used dynamic capability view and other related literature to develop a theoretical model, which was validated with the structural equation modelling technique, considering a sample of 455 respondents from Indian firms. The authors also used the multigroup analysis method to examine the moderating impacts of a firm's marketing leadership team on their international marketing performance.FindingsThere is a positive relationship between a firm's dynamic ability factors and its international dynamic-marketing capabilities. The study also finds that a firm's marketing leadership team has a significant positive moderating impact on improving its international marketing performance.Research limitations/implicationsThe unique theory-based model clearly explains how a firm's dynamic abilities impact international dynamic marketing capability, which then impacts its international marketing performance. This model can help practitioners, researchers and academicians to understand the significance of a firm's international dynamic capability on international marketing performance. The study also helps firms to understand the moderating influence of marketing leadership teams to improve international marketing performance.Originality/valueThis study adds value to the body of literature on international dynamic marketing, international marketing performance and international marketing knowledge management, on which, until now, few other studies have focused. Thus, this research is unique. The proposed model of international dynamic marketing is also unique with high explanative power.
System dynamic-based remanufacturing economic analysis model of used automobile engine under two recycling modes
Authors: Shi Junli , Lu Zhongchi , Xu Huanhuan , Cui Jipei 
Published: December 2022

Purpose
The purpose of this study is to present a system dynamic (SD)-based remanufacturing economic analysis model of used automobile engine under two recycling modes. The authors will compare the remanufacturing cost, sales profit and sales revenue from time and space dimensions incurred in different recycling modes in the long run.

Design/methodology/approach
The remanufacturing economic analysis model is based on SD methodology. The authors can simulate the relations of impact factors on automobile engine recycling and remanufacturing and further analyze and compare the cost, sales profit and sales revenue incurred in different recycling modes in the long term.

Findings
Sinotruk Steyr engine remanufacturing in Shandong province is taken as the research case subject. The revenue, cost and profit under the two recycling modes from 2015 to 2035 are analyzed and compared. The results show that different recycling modes have significant varying influence on the economy of engine remanufacturing.

Originality/value
This economic analysis model can provide a method reference to decide the recycling mode for auto components and other product remanufacturing. Moreover, this model can guide and support the sustainable development of remanufacturing industry.
A systematic review of telemedicine systems use barriers: primary health care providers' perspective
Authors: Tabaeeian Reihaneh Alsadat , Hajrahimi Behzad , Khoshfetrat Atefeh 
Published: December 2022

Purpose
The purpose of this review paper was identifying barriers to the use of telemedicine systems in primary health-care individual level among professionals.

Design/methodology/approach
This study used Scopus and PubMed databases for scientific records identification. A systematic review of the literature structured by PRISMA guidelines was conducted on 37 included papers published between 2009 and 2019. A qualitative approach was used to synthesize insights into using telemedicine by primary care professionals.

Findings
Three barriers were identified and classified: system quality, data quality and service quality barriers. System complexity in terms of usability, system unreliability, security and privacy concerns, lack of integration and inflexibility of systems-in-use are related to system quality. Data quality barriers are data inaccuracy, data timeliness issues, data conciseness concerns and lack of data uniqueness. Finally, service reliability concerns, lack of technical support and lack of user training have been categorized as service quality barriers.

Originality/value
This review identified and mapped emerging themes of barriers to the use of telemedicine systems. This paper also through a new conceptualization of telemedicine use from perspectives of the primary care professionals contributes to informatics literature and system usage practices.
Patient Identification of Diagnostic Safety Blindspots and Participation in “Good Catches” Through Shared Visit Notes
Authors: BELL SIGALL K. , BOURGEOIS FABIENNE , DONG JOE , GILLESPIE ALEX , NGO LONG H. , READER TOM W. , THOMAS ERIC J. , DESROCHES CATHERINE M. 
Published: December 2022

Policy Points
Patients and families can identify clinically relevant errors, including “blindspots”—safety hazards that are difficult for clinicians or organizations to see.
Health information transparency, including patient access to electronic visit notes, now federally mandated in the US and the subject of policy debate worldwide, creates a new opportunity to engage patients in diagnostic safety. However, not all patients access notes.
Patient identification of blindspots in their notes underscores the need to systematically and equitably engage willing patients in safety, promote patient “good catches,” and establish routine systems for patient feedback to help avoid preventable diagnostic errors and delays.
ContextPolicy shifts toward health information transparency provide a new opportunity for patients to contribute to diagnostic safety. We investigated whether sharing clinical notes with patients can support identification of “diagnostic safety blindspots”—potentially consequential breakdowns in the diagnostic process that may be difficult for clinical staff to observe.MethodWe used mixed methods to analyze patient‐reported ambulatory documentation errors among 22,889 patients at three US health care centers who read ≥ 1 visit note(s). We identified blindspots by tailoring a previously established taxonomy. We used multiple regression analysis to identify factors associated with blindspot identification.Findings774 patients reported a total of 962 blindspots in 4 categories: (1) diagnostic misalignments (n = 421, 43.8%), including inaccurate symptoms or histories and failures or delay in diagnosis; (2) errors of omission (38.1%) including missed main concerns or next steps, and failure to listen to patients; (3) problems occurring outside visits (14.3%) such as tests, referrals, or appointment access; and (4) multiple low‐level problems (3.7%) cascading into diagnostic breakdowns. Many patients acted on the blindspots they identified, resulting in “good catches” that may prevent potential negative consequences. Older, female, sicker, unemployed or disabled patients, or those who work in health care were more likely to identify a blindspot. Individuals reporting less formal education; those self‐identifying as Black, Asian, other, or multiple races; and participants who deferred decision‐making to providers were less likely to report a blindspot.ConclusionPatients who read notes have unique insight about potential errors in their medical records that could impact diagnostic reasoning but may not be known to clinicians—underscoring a critical role for patients in diagnostic safety and organizational learning. From a policy standpoint, organizations should encourage patient review of visit notes, build systems to track patient‐reported blindspots, and promote equity in note access and blindspot reporting.