bluuebunny/crossref_metadata_2025_split huggingface dataset:
The application value of Kano Model in quality of healthcare: A scoping review
Authors: Wang Xueqing , Tang Panpan , Jiang Yueying , Zhao Yuan , Tang Leiwen , Qiao Shina , Shao Jing , Chen Dandan 
Published: March 2024

AbstractBackgroundThe Kano model has been utilized in healthcare services with a focus on capturing the patient’s perspective, in order to generate reliable evidence regarding areas that require improvement.ObjectiveThe objective of this study is to provide a description of the implementation of the Kano Model in the healthcare sector and to identify the common quality attributes that have the potential to enhance patients’ satisfaction.MethodsLiterature searches were performed using PubMed, Web of Science, Embase, Cochrane, CINAHL, Scopus, OVID, CBM, CNKI, VIP, and Wanfang Database. Primary studies of Kano model and healthcare quality in English and Chinese were included.Results42 studies were included eventually. There are three findings: (1) the Kano model’s application is not uniform; (2) dimensions of reliability, efficiency, and assurance are crucial for improving healthcare quality and satisfaction, but tangible and empathy are difficult to interpret; (3) applying Kano model to improve patient satisfaction is imperative.ConclusionsThe impact of specific quality attributes on healthcare services and their application in practice are highlighted in this review. Besides, future research could focus on ’Internet+’ nursing applications.
Aquatic risk calibration of tire wear particle in interaction with leaching time, high temperature and UV radiation based on reproductive toxicity to zooplankton
Authors: Chai Yanchao , Yang Jiaxin 
Published: April 2024

AbstractToxicity leached from tire wear particle (TWP) has been emerging and getting concern in aquatic ecosystem as a major sink of TWP. Before into water, TWP generated in road will interact with natural factors (e.g., UV, temperature). It is not clear how the interaction with physical parameters influences ecotoxicity of leachate once TWP into aquatic environment. Meanwhile, it is little known how the characteristics of toxicity leached from TWP changes along with time series. Those will be crucial to get more precise risk assessment for TWP. In this study, the dynamics of toxicity of TWP leachate were characterized under different extraction times, in addition, high temperature and UV radiation were regarded as pretreatment of TWP leaching to simulate in-situ road environment. The reproduction inhibition of a typical zooplankton,Brachionus calycifloruswas considered as toxicity indicator. The results showed that the dose of toxic effect substance released from TWP was fitted with Chi square density function over time, by which toxicity was estimated to reached apex on 10thday. The UVB radiation dose for a day in summer imposed on TWP reduce the toxicity leached by 28%. The high temperature of 70 °C before TWP into water strengthened the release of toxicity by 280%. High temperature and UV radiation had antagonism on toxicity leaching. This study will provide correction parameters for the environmental risk assessment and management decisions of TWP.
Morphological and functional convergence of visual projections neurons from diverse neurogenic origins inDrosophila
Authors: El-Danaf Rana Naja , Kapuralin Katarina , Rajesh Raghuvanshi , Simon Félix , Drou Nizar , Pinto-Teixeira Filipe , Özel Mehmet Neset , Desplan Claude 
Published: April 2024

AbstractTheDrosophilavisual system is a powerful model to study the development of neural circuits. Projection neurons that relay visual information from the lobula part of the optic lobe to the central brain (the lobula columnar neurons-LCNs), are thought to encode different visual features relevant to natural behavior. There are ∼20 classes of LCNs whose projections form highly specific, non-overlapping synaptic domains in the brain called optic glomeruli. Although functional investigations of several LCN circuits have been carried out, very little is known about their developmental origin and the stem cell lineages that generate the LCN subtypes. To address their origin, we used single-cell mRNA sequencing to define the transcriptome of each LCN subtype and identified driver lines that are expressed in specific LCNs throughout development. We show that LCNs originate from neural stem cells in four distinct regions in the fly brain that exhibit different modes of neurogenesis, including the ventral and dorsal tips of the outer proliferation center (tOPC), the ventral tips of the inner proliferation center (vtIPC) and the central brain (CB). This convergence of similar neurons illustrates the complexity of generating neuronal diversity in the brain and likely reflects the evolutionary origin of each LCN subtype that detects a highly specific visual feature and influence behaviors that might be specific to each species.
Phase separation of second prion domain of CPEB3: Insights from the aggregation and structural studies
Authors: Reselammal Dhanya S , Pinhero Faina , Sandeep Arunima , Vijayan Vinesh 
Published: April 2024

AbstractThe maintenance of long-term memory requires sustainable synaptic connections, mediated by the prion-like transformation of the translational regulator protein CPEB3 (Cytoplasmic Polyadenylation Element Binding protein isoform 3) in mammals. The N- terminal prion domain of CPEB3, composed of the two prion subdomains PRD1 and PRD2 has previously been demonstrated to perform a crucial role in imparting prion-like properties to the protein. We have already reported the amyloid-core of the first prion subdomain (PRD1) of the mouse CPEB3. Here, we have investigated the aggregation properties and the structural characteristics of the mouse PRD2 (mPRD2) in vitro. We found that the mPRD2 undergoes phase separation. Interestingly, the mPRD2 formed stable and amyloid-like solid condensates instead of the typical liquid condensate formation. Solid-state NMR and other biophysical studies revealed the existence of mixed secondary structures for mPRD2 in condensates. We propose that the distinct phase separation behaviour of the mPRD2 would be due to the conformational changes attributed to the pattern of the mPRD2 amino acid sequence, resulting in the formation of rigid and amyloid-like self-assembly.
State-specific inhibition of NMDA receptors by memantine depends on intracellular calcium and provides insights into NMDAR channel blocker tolerability
Authors: Phillips Matthew B. , Povysheva Nadya V. , Harnett-Scott Karen A. , Aizenman Elias , Johnson Jon W 
Published: April 2024

AbstractNMDA receptors (NMDARs) are key mediators of neuronal Ca2+influx. NMDAR-mediated Ca2+influx plays a central role in synaptogenesis, synaptic plasticity, dendritic integration, and neuronal survival. However, excessive NMDAR-mediated Ca2+influx initiates cellular signaling pathways that result in neuronal death and is broadly associated with neurological disease. Drugs targeting NMDARs are of great clinical interest, but widespread alteration of NMDAR activity can generate negative side effects. The NMDAR channel blocker memantine is a well-tolerated Alzheimer’s disease medication that shows promise in treatment of other neurological disorders. Memantine enhances desensitization of NMDARs in a subtype- and Ca2+-dependent manner, thereby more effectively inhibiting NMDARs on neurons that experience increased buildup of intracellular Ca2+. However, little is known about the properties or implications of the interaction between intracellular Ca2+and NMDAR inhibition by memantine or other NMDAR channel blockers. Utilizing customized Ca2+buffering solutions and whole-cell patch-clamp recordings, we demonstrated that memantine inhibition of both recombinant and native NMDARs increases with increasing intracellular Ca2+and that the effect of intracellular Ca2+on memantine action depends on NMDAR subtype. Neuroprotection assays and recordings of postsynaptic currents revealed that memantine preferentially inhibits NMDARs under neurotoxic conditions whereas ketamine, a clinically useful NMDAR channel blocker with strong side effects, inhibits strongly across contexts. Our results present a previously unexamined form of state-specific antagonism, Ca2+-dependent NMDAR channel block, that could have a profound impact on the design of drugs that selectively target NMDAR subpopulations involved in disease.
rf chopper for prebunched radioactive ion beams
Authors: Gonzalez A. , Plastun A. , Ostroumov P. N. 
Published: April 2024

An rf chopper system is being designed for the ReAccelerator (ReA) linac at the Facility for Rare Isotope Beams at Michigan State University. The 80.5 MHz ReA radio-frequency quadrupole accelerates prebunched 16.1 MHz beams, producing four satellite bunches for every main bunch. The chopper system includes an rf deflector that kicks every bunch vertically to spatially separate main and satellite bunches. A constant magnetic field superimposed with the chopper electric field biases the beam trajectory to ensure the high-intensity bunches do not experience a net deflection and are injected straight to the ReA6 cryomodule or sent for experiments. The kicked bunches are low in intensity and will be sent to a beam dump, resulting in a clean 16.1 MHz beam structure, which allows for a reliable time-of-flight separation of the isotopes.

Published by the American Physical Society
2024
Unintended use of a calculative practice: conflicting institutional logics in the Norwegian fishing industry
Authors: Henk Oliver , Bourmistrov Anatoli , Argento Daniela 
Published: April 2024

PurposeThis paper explores how conflicting institutional logics shape the behaviors of macro- and micro-level actors in their use of a calculative practice. Thereby, this paper explains how quantification can undermine the intended purpose of a governance system based on a single number.Design/methodology/approachThe study draws upon the literature on calculative practices and institutional logics to present the case of how a single number—specifically the conversion factor for Atlantic Cod, established by macro-level actors for the purposes of governance within the Norwegian fishing industry—is interpreted and used by micro-level actors in the industry. The study is based on documents, field observations and interviews with fishers, landing facilities, and control authorities.FindingsThe use of the conversion factor, while intended to protect fish stock and govern industry actions, does not always align with the institutional logics of micro-level actors. Especially during the winter season, these actors may seek to serve their interests, leading to potential system gaming. The reliance on a single number that overlooks seasonal nuances can motivate unintended behaviors, undermining the governance system’s intentions.Originality/valueIntegrating the literature on calculative practices with an institutional logics perspective, this study offers novel insights into the challenges of using quantification for the governance of complex industries. In particular, the paper reveals that when the logics of macro- and micro-level actors conflict in a single-number governance system, unintended outcomes arise due to a domination of the macro-level logics.
Role of e-tailing: a new way of business during COVID situation in India – a critical view
Authors: Ramanathan Usha , Mathirajan M. , Balakrishnan A.S. 
Published: April 2024

Purpose The COVID-19 situation affected the whole landscape of retailing in India and around the world. However, some businesses have used the pandemic-related difficulties into opportunities. E-tailing is one of the ways that helped people in India to continue shopping their essential products and choosing their luxury products without making any physical visits during the lockdown. This research understands the current situation through an observation study and suggests the e-tailing model suitable during the COVID-19 and beyond.Design/methodology We used secondary data to make the observational study. We also conducted two case studies and interviews with grocery shops and an automotive company.Findings This research suggests a simple collaborative e-tailing model combining all supply chain players to reduce people’s movement, timely delivery and enhanced service to meet customers demand during the lockdown period.Originality/value This paper has considered two real cases for discussion and also obtained information from public domain. The proposed model has been discussed with the case companies, and it hoped to support business planning for online services.
From data to decisions: enhancing financial forecasts with LSTM for AI token prices
Authors: Ali Rizwan , Xu Jin , Baig Mushahid Hussain , Rehman Hafiz Saif Ur , Waqas Aslam Muhammad , Qasim Kaleem Ullah 
Published: April 2024

PurposeThis study aims to endeavour to decode artificial intelligence (AI)-based tokens' complex dynamics and predictability using a comprehensive multivariate framework that integrates technical and macroeconomic indicators.Design/methodology/approachIn this study we used advance machine learning techniques, such as gradient boosting regression (GBR), random forest (RF) and notably long short-term memory (LSTM) networks, this research provides a nuanced understanding of the factors driving the performance of AI tokens. The study’s comparative analysis highlights the superior predictive capabilities of LSTM models, as evidenced by their performance across various AI digital tokens such as AGIX-singularity-NET, Cortex and numeraire NMR.FindingsThis study finding shows that through an intricate exploration of feature importance and the impact of speculative behaviour, the research elucidates the long-term patterns and resilience of AI-based tokens against economic shifts. The SHapley Additive exPlanations (SHAP) analysis results show that technical and some macroeconomic factors play a dominant role in price production. It also examines the potential of these models for strategic investment and hedging, underscoring their relevance in an increasingly digital economy.Originality/valueAccording to our knowledge, the absence of AI research frameworks for forecasting and modelling current aria-leading AI tokens is apparent. Due to a lack of study on understanding the relationship between the AI token market and other factors, forecasting is outstandingly demanding. This study provides a robust predictive framework to accurately identify the changing trends of AI tokens within a multivariate context and fill the gaps in existing research. We can investigate detailed predictive analytics with the help of modern AI algorithms and correct model interpretation to elaborate on the behaviour patterns of developing decentralised digital AI-based token prices.
Returns to different levels of education in Russia
Authors: Dolgikh Sofiia , Potanin Bogdan 
Published: March 2024

PurposeEducation system stimulates the development of human capital and provides informative signaling allowing to differentiate productivity of individuals. If education system is efficient then higher levels of education usually associated with greater returns on labor market. To evaluate the efficiency of Russian education system we aim to estimate the effect of vocational education and different levels of higher education on wages.Design/methodology/approachWe use data on 8,764 individuals in the years 2019–2021. Our statistical approach addresses two critical issues: nonrandom selection into employment and the endogeneity of education choice. To tackle these problems, we employed Heckman’s method and its extension that is a structural model which addresses the issue of self-selection into different levels of education.FindingsThe results of the analysis suggest that there is a significant heterogeneity in the returns to different levels of education. First, higher education, in general, offers substantial wage premiums when compared to vocational education. Specifically, individuals with specialist’s and bachelor’s degrees enjoy higher wage premiums of approximately 23.59–24.04% and 16.43–16.49%, respectively, compared to those with vocational education. Furthermore, we observe a significant dis-parity in returns among the various levels of higher education. Master’s degree provides a substantial wage premium in comparison to both bachelor’s (19.79–20.96%) and specialist’s (12.64–13.41%) degrees. Moreover, specialist degree offers a 7.16–7.55% higher wage premium than bachelor’s degree.Practical implicationsWe identify a hierarchical pattern in the returns associated with different levels of higher education in Russia, specifically “bachelor-specialist-master.” These findings indicate that each level of education in Russia serves as a distinct signal in the labor market, facilitating employers' ability to differentiate between workers. From a policy perspective, our results suggest the potential benefits of offering opportunities to transition from specialist’s to master’s degrees on a tuition-free basis. Such a policy may enhance access to advanced education and potentially lead to higher returns for individuals in the labor market.Originality/valueThere are many studies on returns to higher education in Russia. However, just few of them estimate the returns to different levels of higher education. Also, these studies usually do not address the issue of the endogeneity arising because of self-selection into different levels of education. Our structural econometric model allows addressing for this issue and provides consistent estimates of returns to different levels of education under the assumption that individuals with higher propensity to education obtain higher levels of education.
The double-edged sword: investigating when and why supervisor negative feedback promotes versus inhibits employee performance
Authors: Wu Song , Zhang Yue , Yang Hui , Tian Tian 
Published: March 2024

PurposeThe purpose of this study is to investigate when and why supervisor negative feedback is associated with employees' job performance via two different pathways (i.e. emotion-focused coping and problem-focused coping) and to introduce proactive personality as a moderator.Design/methodology/approachTime-lagged data were collected using a field survey research design. Participants included 389 dyads of employees and their direct supervisors from five companies in China.FindingsSupervisor negative feedback can lead to employees' emotion-focused coping, which in turn impairs their job performance. Meanwhile, supervisor negative feedback can trigger employees’ problem-focused coping, which subsequently promotes their job performance. Furthermore, proactive personality moderates the indirect effect of supervisor negative feedback on employee performance through emotion-focused coping.Originality/valueThis study explored the double-edged effects of supervisor negative feedback on employee job performance from a coping strategy perspective and investigated how proactive personality influences the choice of coping strategies.
An analysis of the relationship between organisational resilience and Local Educational Management Units’ responses on education services delivery in Peru during the COVID-19 pandemic
Authors: Romero-Lora Guiselle M. , Rivero-Isla Juan C. , Lopez-Chavez Brenda E. 
Published: April 2024

PurposeDuring the COVID-19 pandemic, Local Educational Management Units (UGELs), the key government stakeholders in the provision of education services in Peru, implemented responsive interventions. This paper analyses the relationship between UGEL organisational resilience and their responses during this period.Design/methodology/approachA survey was conducted to measure UGEL management practices, with 251 valid responses from directors and managers. Based on organisational resilience theory, 67 questions were grouped into 13 factors and 3 components: (1) leadership and organisational culture, (2) preparation for change, and (3) networks building on the Organisational Resilience Index (ORI). These factors correlated with the number of interventions and the impact of those interventions implemented by UGELs.FindingsThe findings indicated that of all ORI components, leadership and organisational culture ranked the highest. Moreover, the ORI is positively associated with the number of interventions and the perceived impact produced by those interventions. Interestingly, it was found that when the gender variable is included in the correlation between the ORI and the number of interventions, women leading UGELs display a higher number of interventions than their male counterparts; and the coefficient increases even more when women lead a UGEL in a more challenging context (i.e., when the UGEL is located in a low-income area and operates under scarce resources).Originality/valueThis is the first study in Peru which analyses organisational resilience in the education sector, specifically about UGELs during the COVID-19 pandemic. It may help set priorities for institutional strengthening initiatives aimed at improving organisational resilience, which is particularly important in such uncertain and changing contexts.
Institutions and economic growth: the role of financial inclusion, public spending on education and the military
Authors: Jungo João 
Published: April 2024

PurposeThe paper aims to investigate the relationship between institutions and economic growth in developing countries, considering the role of financial inclusion, education spending and military spending.Design/methodology/approachThe study employs dynamic panel analysis, specifically two-step system generalized method of moments (GMM), on a sample of 61 developing countries over the period 2009–2020.FindingsThe results confirm that weak institutional quality, weak financial inclusion and increased military spending are barriers to economic growth, conversely, increased spending on education and gross capital formation contribute to economic growth in developing countries. Regarding the specific institutional factor, we find that corruption, ineffective government, voice and accountability and weak rule of law contribute negatively to growth.Practical implicationsThe study calls for strengthening institutions so that the financial system supports economic growth and suggests increasing spending on education to improve access to and the quality of human capital, which is an important determinant of economic growth.Originality/valueThe study contributes to scarce literature by empirically analyzing the relationship between institutions and economic growth by considering the role of financial inclusion, public spending on education and military spending, factors that have been ignored in previous studies. In addition, the study identifies the institutional dimension that contributes to reduced economic growth in developing countries.