bluuebunny/crossref_metadata_2025_split huggingface dataset:
Toward the sustainability of health care innovations to “transform our world”: current status and the road ahead
Authors: Chicoine Gabrielle , Straus Sharon E. 
Published: February 2025

ABSTRACT
Inadequate sustainability of health care innovations or evidence-based interventions has led to calls from policymakers, researchers, and funders for research on how sustainability can be optimized to avoid research waste. In this discussion paper, we argue that research on health care innovation sustainability needs to be advanced. We critically examine the literature on the concept of sustainability and propose that research should address the fundamental question: How can we advance knowledge on health care innovation sustainability? We provide examples of important work undertaken in the field of implementation science, including definitions and conceptualizations of sustainability. We also highlight theories, models, and frameworks that have been proposed to inform sustainability research and guide how to plan for sustainability. Our analysis of the literature reveals a growing interest in the sustainability of health care innovations but also confirms that implementation science has yet to put sustainability at the center of its research endeavors. To assist this shift, we identify priority research gaps and use the United Nations 2030 Agenda for Sustainable Development as a road map for an implementation science research agenda to drive health care innovation sustainability. We propose three new research directions that, overall, aim for “better health for all, leaving no one behind.” These directions include: (1) advancing substantive research on sustainability while avoiding duplication; (2) identifying barriers, facilitators, and strategies to sustain engagement with multiple partners; and (3) advancing methods and tools to support monitoring, evaluation, and revision of strategies over time.

Spanish abstract:

http://links.lww.com/IJEBH/A323
Loss of JAK1 Function Causes G2/M Cell Cycle Defects Vulnerable to Kif18a Inhibition
Authors: Kelley Vanessa , Baro Marta , Gasperi William , Ader Nicholas , Lea Hannah , Lee Hojin , Phoomak Chatchai , Kabeche Lilian , King Megan , Contessa Joseph 
Published: February 2025

ABSTRACTTo gain insight into biological mechanisms that cause resistance to DNA damage, we performed parallel pooled genetic CRISPR-Cas9 screening for survival in high risk HNSCC subtypes. Surprisingly, and in addition to ATM, DNAPK, and NFKB signaling, JAK1 was identified as a driver of tumor cell radiosensitivity. Knockout of JAK1 in HNSCC increases cell survival by enhancing the DNA damage-induced G2 arrest, and both knockout and JAK1 inhibition with abrocitinib prevent subsequent formation of radiation-induced micronuclei. Loss of JAK1 function does not affect canonical CDK1 signaling but does reduce activation of PLK1 and AURKA, kinases that regulate both G2 and M phase progression. Correspondingly, JAK1 KO was found to cause mitotic defects using both EdU labeling and live cell imaging techniques. Given this insight, we evaluated Kif18a inhibition as an approach to exacerbate mitotic stress and enhance the efficacy of radiation. These studies establish Kif18a inhibition as a novel strategy to counteract therapeutic resistance to DNA damage mediated by G2 cell cycle arrest.
Left subclavian artery revascularization with in-situ laser fenestration during TEVAR for complicated or high-risk TBAD: results of the LLTEVAR Trial
Authors: Peng Zhiyou , Liang Siyuan , Zhang Rong , Qiu Peng , Yin Minyi , Liu Guang , Liu Xiaobing , Lu Xinwu , Ye Kaichuang 
Published: February 2025

ABSTRACTObjectiveThis study aimed to prospectively evaluate the safety and efficacy of left subclavian artery (LSA) revascularization via in-situ laser-assisted fenestration during thoracic endovascular aortic repair (TEVAR) for type B aortic dissection (TBAD).MethodsThis was a prospective, single-arm, multicenter study that enrolled patients with complicated or high-risk acute TBAD. The primary safety endpoint was freedom from composite major adverse events (mortality, stroke, myocardial infarction, paraplegia, type Ia endoleak) within 30 days after the procedure. Univariate and multivariate analyses determined the risk factors of composite major adverse events. The primary efficacy endpoint was freedom from all-cause death, LSA in-stent restenosis, and reintervention due to dissection progression, growth, and endoleak at 1 year after the procedure.ResultsA total of 100 patients (mean age, 60.5±12.6 years) were enrolled at 5 vascular centers between July 2018 and September 2021. The technical success rate of LSA revascularization was 98.0% (98/100). The primary safety endpoint within 30 days after the procedure was 86.0% (86/100, with 15 events occurring in 14 patients). Within 30 days after the procedure, mortality occurred in two patients, resulting in a 30-day mortality rate of 2.0% (2/100). Four patients experienced a stroke, and the rate was 4.0% (4/100). Retrograde aortic pathologies occurred in 2 patients, including one with ascending dissection treated with open repair, and the other with retrograde intramural hematoma treated with medical therapy, and the hematoma was self-resolved within 6 months. Five patients experienced type Ia endoleak, and conjunctive coil embolization were performed in 4 patients. One patient experienced paraplegia and recovered within 2 weeks. Complicated TBAD (OR, 4.98; 95%CI,1.27-19.55; P=.02) and type II/III arch (OR, 6.37; 95%CI,1.72-23.53; P=.006) significantly associated with a higher risk of composite major adverse events within 30-day after the procedure. The primary efficacy endpoint at 1 year after the procedure was 90.0%.ConclusionLeft subclavian artery revascularization with in-situ laser-assisted fenestration during TEVAR for TBAD is a successful procedure and is associated with excellent short-term outcomes. However, attention should be paid to periprocedural major adverse events, especially in complicated TBAD patients with type II/III arch.
Congruence between preferred and actual place of death and its association with patients’ quality of death and dying: A nationwide survey in Japan
Authors: Shutoh Mariko , Morita Tatsuya , Aoyama Maho , Kizawa Yoshiyuki , Shima Yasuo , Miyashita Mitsunori 
Published: February 2025

AbstractBackgroundSatisfying patients’ preferences is an important outcome in palliative care. Previous research has reported that a patient’s place of death was associated with quality of death and dying.PurposeThis study aimed to assess factors associated with congruence between a patient’s preferred and actual place of death and their quality of death and dying, as perceived by their family caregivers.MethodData were obtained from a nationwide cross-sectional questionnaire survey of bereaved family caregivers of patients with cancer in Japan. A total of 13,711 family caregivers participated. We evaluated the quality of death and dying using the Good Death Inventory.ResultsPatients who died in their preferred place were categorized as the “achieved group,” whereas patients who died in a place that they did not prefer were classified as the “not-achieved group.” Survey scores were significantly higher for the achieved group compared with the not-achieved group (48.8±10.1 and 44.0±9.5, respectively; p <0.001). A multiple linear regression analysis indicated that congruence between preferred and actual place of death was an independent determinant of good quality of death and dying (p <0.001).ConclusionCongruence between a patient’s preferred and actual place of death may contribute to better quality of death and dying among terminally ill patients with cancer. Congruence between preferred and actual place of death should be regarded as an essential goal in end-of-life care.
The evolution of host utilization strategy: At what timing parasitoids attack and consume their host
Authors: Isshiki Ryuichiro , Iritani Ryosuke 
Published: February 2025

AbstractIn some parasitoid wasp species, larvae consume their host immediately after hatching (“idiobiont”), while in other species, larvae delay the consumption of the host until its maturation (“koinobiont”). The timing at which wasps’ larvae start consuming the host after the attack, referred to as Parasitoid Emerging Timing (PET) in this article, is a life-history trait that is correlated to other life history traits (e.g., lifespan and body size). Consequently, the evolution of PET has been studied as an explanation for the diversity of life-history strategies in parasitoid wasps. Using statistical analyses, previous studies have provided support for the association between PET and other life history traits. However, these results lack an adaptive evolutionary explanation necessary to establish PET as a key factor in life-history diversity. In this study, we develop mathematical models to examine the evolutionary associations between PET and other life-history traits. Specifically, we studied the evolutionary dynamics of PET and resulting life history characteristics of host exploitation. Our results show that the reproductive values differ depending on the developmental stage of hosts and determine which stage parasitoids exploit. We discuss some empirical studies support that host density and reproductive value affect PET. Additionally, the evolution of PET can profoundly alter the life-cycles of parasitoid wasps. For example, in species with late PET, wasps attack young hosts that initially have low reproductive value, but only consume them after the hosts mature and their reproductive value increases. These findings suggest that PET may be a driver of the syndrome involving multiple traits related to host utilization in parasitoid wasps. The high diversity of parasitoid wasps provides a rich system for testing hypotheses about life-history syndromes. By linking PET to broader life-history strategies, this study lays a theoretical foundation for understanding life-history syndromes in parasitoid wasps.
A cortical microcircuit model reveals distinct inhibitory mechanisms of network oscillations and stability
Authors: Tahvili Farzin , Vinck Martin , di Volo Matteo 
Published: February 2025

AbstractWe identify a computational mechanism for network oscillations distinct from classic excitatory-inhibitory networks – CAMINOS (Canonical Microcircuit Network Oscillations) – in which different inhibitory-interneuron classes make distinct causal contributions to network oscillations and stability. A computational network model of the canonical microcircuit consisting of SOM, PV and excitatory neurons reproduced key experimental findings, including: Stochastic gamma oscillations with drive-dependent frequency; precise phase-locking of PV interneurons and delayed firing of SOM interneurons; and the distinct effects of optogenetic perturbations of SOM and PV cells. In CAMINOS, the generation of network oscillations depends onboththe precise spike timing of SOM and PV interneurons, with PV cells regulating oscillation frequency and network stability, and delayed SOM firing controlling the oscillation amplitude. The asymmetric PV-SOM connectivity is found to be the key source ingredient to generate these oscillations, that naturally establishes distinct PV and SOM-cell spike timing. The CAMINOS model predicts that increased SOM/PV densities along the cortical hierarchy leads to decreased oscillation frequencies (from gamma to alpha/beta) and increased seizure susceptibility, suggesting a unified circuit model for oscillations across different frequency bands.
Propeller–motor-coupled modeling and design for tiltrotor aircraft
Authors: Zhang Jiechao , Zhang Siyu , Zheng Yao , Liu Yaolong 
Published: February 2025

Purpose
This study aims to propose a rapid optimization design framework for the electric propulsion system of tiltrotor aircraft with a comprehensive set of propeller and motor parameters.

Design/methodology/approach
To enhance the prediction accuracy, the authors have developed correction models for both the propeller and motor, i.e. the propeller performance model is based on blade element momentum theory, with the Reynolds-averaged Navier–Stokes method to obtain blade airfoil aerodynamic data, and the motor performance model incorporates an experimentally corrected second-order equivalent circuit model. Using Bayesian optimization algorithms, the authors have addressed the mixed-integer nonlinear programming design problem, which includes discrete variables such as the number of propeller blades and blade airfoil type, as well as continuous variables such as propeller diameter, pitch angle, chord length distribution, twist angle distribution, initial motor resistance, no-load current and KV value.

Findings
To estimate the aircraft-level performance, the authors have integrated the electric propulsion system into the tiltrotor’s overall mission profile, where an energy consumption reduction of 34.1% for the mission profile can be achieved after propeller and motor simultaneous optimization.

Originality/value
This study provides a valuable tool for the preliminary design and optimization of the electric propulsion systems for tiltrotor aircraft.
Role of technology in outbound vehicle logistics: evidence from the Chinese automobile sector
Authors: Adhi Santharam Balakrishnan , Ramanathan Usha 
Published: February 2025

PurposeThe COVID-19 outbreak and severe weather challenges have disrupted the supply chains of various industries across the globe, including the automotive industry. The purpose of this study is to investigate the outbound vehicle logistics practices of a Chinese automotive firm to achieve value chain optimization to meet the order fulfillment through the feasibility of using blockchain technology (BCT).Design/methodology/approachTo identify the research gap and to formulate the research questions, a detailed literature review was conducted. To compare and contrast the Chinese automotive outbound logistics process, we interviewed Original Equipment Manufacturers (OEMs), vehicle logistics service providers and local IT vendors. To study the feasibility of BCT in the case companies, we conducted interviews with the experts as part of the in-depth empirical case study. Case analysis has emerged as the research themes.FindingsIn-depth data analysis suggested three important areas that needed focus from OEMs (1) handling distribution constraints; (2) ability to monitor quality; and (3) good communication with network partners and receiving real-time alerts, especially during peak demand periods. Our findings confirm that OEMs can address all these challenges in the presence of BCT alliance frameworks with automotive supply chain partners.Research limitations/implicationsThe scope of the research is restricted to the Chinese automotive OEMs. This research can be extended to other countries practicing the same level of outbound vehicle logistics. Data collected in this research were generated from a data sheet which is subjective to some extent.Practical implicationsThis research provides practical insights for practitioners on the feasibility of using BCT on outbound logistics which can optimize order fulfillment and performance.Originality/valueThe paper adds insights into the feasibility of using BCT in automotive vehicle logistics to increase performance and compares the practices from China with developed economies.
Investigating the potential of blockchain technology in enabling circular economy practices in Industry 5.0: an electronics industry case study
Authors: Shukla Vishal , Prashar Sanjeev , Ramkumar M. 
Published: February 2025

Purpose This study seeks to investigate the ability of blockchain technology (BCT) to increase circular economy (CE) practices in the electronics industry, emphasising India and Taiwan.Design/methodology/approachThe study adopts a mixed-methods approach. Initial qualitative semi-structured interviews examined how BCT could inform CE practice. The qualitative aspects were followed by the Analytical Hierarchy Process (AHP), integrating qualitative and quantitative approaches, and fuzzy-set Qualitative Comparative Analysis (fsQCA), to analyse data from 391 industry experts surveyed.FindingsThe results show that the BCT has great potential to promote CE processes by improving the aspects of security, transparency and traceability. BCT adoption is driven by a conducive regulatory regime, stakeholder collaboration, and the availability of required technology.Research limitations/implicationsBy identifying key drivers and requisite requirements for successful BCT adoption in CE practices, this research offers critical guidance for policymakers, practitioners and researchers. It adds to the wider conversation about how emerging technologies can support sustainability and efficiency in industry.Originality/valueThis study contributes to the literature by providing a new lens to study BCT and CE practices intersectionality, particularly in the context of the emerging electronics industry and in countries such as India and Taiwan. Unlike previous research that studied either BCT or CE independently, this study uniquely illustrates how the principles underpinning these concepts, when implemented together, can positively impact sustainability outcomes within a resource-intensive industry notorious for generating highly significant waste streams.
How do public owners’ dynamic capabilities improve project resilience in megaprojects: a configurational perspective
Authors: Tian Zidan , Wang Ting , Jiang Kaiwen , He Qinghua , Xue Yutong , Chen Xiaoyan 
Published: February 2025

PurposeRecent studies suggested that owner dynamic capabilities (ODCs) enabling public owners of megaprojects to activate, orchestrate and reorganize resources to uncertainties were beneficial to improving the project resilience of megaprojects. However, most of them pay insufficient attention to the specific context of long cycles and deep uncertainty in megaprojects, neglecting the causal complexity that different dimensions of ODCs and learning mechanisms interact with each other in terms of enhancing project resilience. Therefore, this study aims to systematically unveil the complex causality among ODCs, learning mechanisms and project resilience of megaprojects.Design/methodology/approachThis study introduces a configurational perspective to explore how multi-dimensional ODCs combine to improve project resilience in megaprojects along with different organizational learning mechanisms and learning orientations. Based on 330 ODC events in 19 construction megaprojects, a multi-temporal crisp-set qualitative comparative analysis method is adopted to extract configurations of ODCs for project resilience improvement and unveil their evolution features over the whole megaproject lifecycle.FindingsSix configurations are identified for improving project resilience in megaprojects, including cognition-dominant, cognition-deficient, transformation-dominant, innovation-driven, value-co-creation and exploitative-transformation configurations. The results also indicate that distinct megaproject stages appeal to corresponding ODC configurations for project resilience improvement under unique uncertain contexts.Originality/valueThis study not only makes theoretical contributions to the literature on dynamic capability and project resilience in the megaproject management field but also provides useful practical guidance for public owners of megaprojects to better utilize ODCs for project resilience improvement.
Fuzzy system dynamic model for simulation of new rail track construction machine productivity in India
Authors: Rajesh M. R. , Patel D.A. , Lad V.H. 
Published: February 2025

PurposeThe utilization of the new track construction (NTC) machine in the dedicated freight corridor (DFC) project in India proved to be counterproductive due to various uncertain and dynamic factors. This study aims to develop the model and simulate the productivity of the NTC machine considering system dynamic factors encountered during the construction phase of the project.Design/methodology/approachThe study employs a fuzzy system dynamics (FSD) model to analyse the productivity of the NTC machine. Initially, 21 variables related to the construction productivity of equipment-intensive activities are identified using exploratory factor analysis (EFA). A stock-and-flow diagram is then developed to examine the interdependencies among these variables. The FSD model integrates hard relationships via mathematical formulas and soft relationships using fuzzy measures and integrals. The model’s structure and behaviour are validated through dimension consistency, structure verification and pattern verification tests.FindingsThe results indicate that key system variables, such as site restrictions, weather and site conditions, unscheduled breaks and functional range, significantly influence the productivity of the NTC machine. The study also indicates the importance of human expertise, operator’s experience and crew coordination skill as influencing system variables in equipment productivity.Originality/valueThis study provides insights in managing complex and dynamic factors affecting the productivity of the NTC machine used large-scale rail construction projects. This study offers a novel application of FSD to address productivity challenges of this special equipment in the new rail track construction projects.
Linking leader expectations to employee green creativity: the critical roles of green intellectual stimulation and capital
Authors: Peng Jian , Nie Qi , Hou Nan 
Published: February 2025

PurposeThis research proposes that leader expectations for green creativity promote employee green creativity, as they guide leaders to provide green intellectual stimulation to employees. This relationship exists only when organizations provide sufficient green intellectual capital.Design/methodology/approachWe obtained survey data from 241 employees and their leaders over three waves and conducted regression analyses.FindingsLeader expectations for green creativity evoke leader green intellectual stimulation, which increases employee green creativity. Green intellectual capital strengthens the link between leader green intellectual stimulation and employee green creativity as well as the indirect linkage between leader expectations for green creativity and employee green creativity through leader green intellectual stimulation.Practical implicationsThis research provides valuable insights into key strategies that organizations and leaders can use to promote employee green creativity, such as expressing expectations, facilitating intellectual stimulation, and providing intellectual capital.Originality/valueThis research advances the literature on leadership and employee green creativity by integrating Pygmalion theory and green intellectual capital theory.