bluuebunny/crossref_metadata_2025 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

Background

The 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.

Objective

The 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.

Methods

Literature 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.

Results

42 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.

Conclusions

The 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

Toxicity 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

TheDrosophilavisual 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

The 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

NMDA 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
SEB: a computational tool for symbolic derivation of the small-angle scattering from complex composite structures
Authors: Jarrett Tobias W. J. , Svaneborg Carsten
Published: March 2024

Analysis of small-angle scattering (SAS) data requires intensive modeling to infer and characterize the structures present in a sample. This iterative improvement of models is a time-consuming process. Presented here is Scattering Equation Builder (SEB), a C++ library that derives exact analytic expressions for the form factors of complex composite structures. The user writes a small program that specifies how the sub-units should be linked to form a composite structure and calls SEB to obtain an expression for the form factor. SEB supports e.g. Gaussian polymer chains and loops, thin rods and circles, solid spheres, spherical shells and cylinders, and many different options for how these can be linked together. The formalism behind SEB is presented and simple case studies are given, such as block copolymers with different types of linkage, as well as more complex examples, such as a random walk model of 100 linked sub-units, dendrimers, polymers and rods attached to the surfaces of geometric objects, and finally the scattering from a linear chain of five stars, where each star is built up of four diblock copolymers. These examples illustrate how SEB can be used to develop complex models and hence reduce the cost of analyzing SAS data.
Unintended use of a calculative practice: conflicting institutional logics in the Norwegian fishing industry
Authors: Henk Oliver , Bourmistrov Anatoli , Argento Daniela
Published: April 2024

Purpose

This 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/approach

The 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.

Findings

The 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/value

Integrating 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

Purpose

This 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/approach

In 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.

Findings

This 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/value

According 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

Purpose

Education 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/approach

We 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.

Findings

The 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 implications

We 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/value

There 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

Purpose

The 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/approach

Time-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.

Findings

Supervisor 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/value

This 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

Purpose

During 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/approach

A 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.

Findings

The 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/value

This 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

Purpose

The 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/approach

The 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.

Findings

The 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 implications

The 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/value

The 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.
The lesion detection rate of Ga‐68 DOTATATE PET/MR in multiple endocrine neoplasia type 1
Authors: Gao Jing , Liu Chang , Zhou Jinxin , Pan Yu , Zhang Yifan
Published: April 2024

Introduction

The purpose of the study was to determine the usefulness of Ga‐68 DOTATATE PET/MR in the identification of tumours in individuals with multiple endocrine neoplasia type 1 (MEN1).

Methods

In this retrospective investigation, five individuals who had tested positive for a hereditary MEN1 variant underwent Ga‐68 DOTATATE PET/MR between May 2020 and January 2023. Several types of tumours associated with MEN1 were studied. MEN1‐related tumours included pituitary, parathyroid, gastroenteropancreatic, and adrenal. The rates of lesion identification between MRI, Ga‐68 DOTATATE PET, and Ga‐68 DOTATATE PET/MRI were examined. The maximum and mean standard uptake values (SUVmax and SUVmean) were evaluated in carefully delineated volumes of interest (VOI) for the relevant tumours.

Results

Of the 24 primary lesions, 14 were identified by Ga‐68 DOTATATE PET, 18 by MRI, and 20 by Ga‐68 DOTATATE PET/MRI. Two pituitary tumours were detected by all three techniques. All parathyroid tumours that were not detected by Ga‐68 DOTATATE PET and MRI were found by Tc‐99m MIBI SPECT/CT or/and EUS. Ga‐68 DOTATATE PET/MR detected more gastroenteropancreatic lesions. All adrenal tumours not identified by Ga‐68 DOTATATE PET were found by MRI or CT. The median SUVmax for lesions identified on Ga‐68 DOTATATE PET/MRI was 18.4 (range, 3.8‐85.2), and the median SUVmean was 12.0 (range, 2.3‐49.8).

Conclusion

The combination of Ga‐68 DOTATATE PET and MRI demonstrated a higher detection rate and may be more useful in the work‐up of MEN1 providing a panoramic view of MEN1‐related lesions. To increase the identification of MEN1‐associated neuroendocrine lesions in the parathyroid gland, approaches other than Ga‐68 DOTATATE PET/MRI should be used.
A bibliometric analysis of miRNAs in rheumatoid arthritis from 2001 to 2022: Research hotspots and trends
Authors: Ma Xuezhi , Taxi Wumiti , Guo Yang , Jiaerken Hasiteer , Zhang Yafeng , Wang Jianwei , Sun Haitao , Wang Lining , Ma Yong
Published: April 2024

Background

MicroRNAs (miRNAs) are widely recognized in the pathogenesis of autoimmune disease. As a key regulatory factor, miRNAs have introduced new biomarkers for the early diagnosis of rheumatoid arthritis (RA) and provided a favorable research direction for the development of novel therapeutic targets. This study aimed to explore the hotspots of miRNA research related to RA published from different countries, organizations, and authors.

Methods

From 2001 to 2022, publications on miRNA related to RA were identified in the Web of Science database. The total and annual number of publishments, citations, impact factor, H‐index, productive authors, and involved journals were collected for quantitative and qualitative comparisons.

Results

A total of 29 countries/regions in the world have participated in the research of miRNAs and RA over the past two decades, and China (760, 53.18%) and the United States (233, 16.31%) account for the majority of the total publications. China dominated in total citation (17881) and H‐index (62). A total of 507 academic journals have published articles in related fields, and Frontiers in Immunology published the most (53, 3.71%). Chih‐hsin Tang of the China Medical University has published the most papers (16, 1.2%). Stanczyk (2008) published the most cited article Altered expression of miRNAs in synovial fibroblasts and synovial tissue in rheumatoid arthritis in Arthritis and Rheumatism, with 660 citations. Inflammation is the high‐frequency keyword outside of RA and miRNAs, and related researches have mainly focused on miR‐146a and miR‐155.

Conclusions

In the past two decades, extensive and continuous research has been conducted to investigate the role of miRNAs in RA, and miRNAs are widely recognized in the pathogenesis of RA. Related research has mainly focused on miR‐146a and miR‐155 that have shown promising results as key factors in RA experimental models. Focusing on clinical applications and translational research may be the future research direction and hotspot based on molecular biology basic research and mechanism exploration.
Risk factors for initial and recurrent severe infections in first hospitalized patients with systemic lupus erythematosus: A retrospective study of a Chinese cohort
Authors: Zhu Ying , Zhu Kexin , Zhang Xueyi , Qian Zhijie , Guo Qingqing , Xu Xuefeng , Yao Genhong , Tang Xiaojun , Wang Dandan , Zhang Huayong , Feng Xuebing , Jin Ziyi , Sun Lingyun
Published: April 2024

Objective

To evaluate the incidence and associated factors of initial and recurrent severe infections in hospitalized patients with systemic lupus erythematosus (SLE).

Methods

SLE patients that first hospitalized between 2010 and 2021 were studied retrospectively and divided into SLE with and without baseline severe infection groups. The primary outcome was the occurrence of severe infection during follow‐up. Cox regression models were used to calculate the hazard ratio (HR) and 95% confidence interval (CI) for initial and recurrent severe infections.

Results

Among 1051 first hospitalized SLE patients, 164 (15.6%) had severe infection on admission. During a median follow‐up of 4.1 years, 113 (10.8%) patients reached severe infection outcomes, including 27 with reinfection and 86 with initial severe infection (16.5% vs. 9.7%, p = .010). Patients with baseline severe infection had a higher cumulative incidence of reinfection (p = .007). After adjusting for confounding factors, renal involvement, elevated serum creatinine, hypoalbuminemia, cyclophosphamide, and mycophenolate mofetil treatment were associated with an increased risk of severe infection, especially initial severe infection. Low immunoglobulin, anti‐dsDNA antibody positivity, and cyclophosphamide use significantly increased the risk of recurrent severe infection, with adjusted HR (95% CI) of 3.15 (1.22, 8.14), 3.60 (1.56, 8.28), and 2.14 (1.01, 5.76), respectively. Moreover, baseline severe infection and low immunoglobulin had a multiplicative interaction on reinfection, with adjusted RHR (95% CI) of 3.91 (1.27, 12.09).

Conclusion

In this cohort of SLE, patients with severe infection had a higher risk of reinfection, and low immunoglobulin, anti‐dsDNA antibody positivity, and cyclophosphamide use were independent risk factors for recurrent severe infection.
Abusive supervision differentiation and work outcomes: An integrative review and future research agenda
Authors: Liang Yongyi , Yan Ming , Chen Yuanyi , Miao Chunchun
Published: April 2024

Although the volume of literature on abusive supervision differentiation has increased in recent years, it remains a loosely organized body of work, with various conceptualizations, measurements, and contradictory opinions that create considerable confusion for future research. In this paper, we systematically review the conceptualizations and measurements and differentiate two levels of abusive supervision differentiation: abusive supervision dispersion at the group level and relative abusive supervision at the individual‐within‐group level. We then review the theoretical approaches and empirical findings on the consequences of abusive supervision dispersion and relative abusive supervision. Through this holistic review, we identify several conceptual and measurement issues associated with abusive supervision differentiation and find contradictory findings regarding the effects of abusive supervision differentiation. Accordingly, we propose a future research agenda that highlights the areas where additional research is needed to further our understanding of this topic. By doing so, we contribute to a more nuanced understanding of the complexity of abusive supervision differentiation and to the theoretical development of this subject.
Exploring the roles of compassion and post‐traumatic stress disorder on global distress after sexual trauma
Authors: Dawood Runa , Vosper Jane , Irons Chris , Gibson Stuart , Brown Gary
Published: April 2024

Objectives

Recovery from sexual trauma can be complex and multi‐faceted. Most current psychological treatment protocols for trauma use a cognitive model of post‐traumatic stress disorder (PTSD). However, sexual trauma may include specific complexities beyond that of a cognitive model of PTSD, such as relational factors. The distress experienced after sexual abuse may involve variables not exclusive to a PTSD model. Compassion focused therapy (CFT) is an approach that incorporates evolutionary, relational and social perspectives. This study explored the relationships between variables associated with CFT, PTSD and distress in survivors of sexual abuse to determine the role of CFT‐related variables.

Methods

155 adults who had experienced sexual abuse or any unwanted sexual experience at any point in their lives completed online questionnaires pertaining to various CFT variables (self‐compassion, receiving compassion from others, having a fear of compassion from others, having a fear of compassion from the self, shame and self‐criticism) and questionnaires measuring global distress as the outcome of sexual abuse and PTSD symptoms.

Results

An exploratory model involving CFT‐related variables explained significantly more of the variance (4.4%) in global distress than PTSD symptomology alone. Self‐criticism was found to be the variable with significant contribution.

Conclusions

That CFT treatments, targeting self‐criticism, should be developed alongside the standard cognitive model of PTSD based treatments for survivors of sexual abuse was supported. Future research may explore experimental designs utilizing CFT in this population, as well as further investigations on the roles of these specific CFT variables.
Identification of a marine‐derived sesquiterpenoid, Compound‐8, that inhibits tumour necrosis factor‐induced cell death by blocking complex II assembly
Authors: He Yuan , Yang Tingting , Li Jiao , Li Kaiying , Zhuang Chunlin , Zhang Meng , Li Ran , Zhao Yaxing , Song Qianqian , Jiang Mengyuan , Mao Shuichun , Song Xin‐gang , Guo Yufeng , Li Xuran , Tan Fei , Jitkaew Siriporn , Zhang Wen , Cai Zhenyu
Published: March 2024

Background and Purpose

Tumour necrosis factor (TNF) is a pleiotropic inflammatory cytokine that not only directly induces inflammatory gene expression but also triggers apoptotic and necroptotic cell death, which leads to tissue damage and indirectly exacerbates inflammation. Thus, identification of inhibitors for TNF‐induced cell death has broad therapeutic relevance for TNF‐related inflammatory diseases. In the present study, we isolated and identified a marine fungus‐derived sesquiterpenoid, 9α,14‐dihydroxy‐6β‐p‐nitrobenzoylcinnamolide (named as Cpd‐8), that inhibits TNF receptor superfamily‐induced cell death by preventing the formation of cytosolic death complex II.

Experimental Approach

Marine sponge‐associated fungi were cultured and the secondary metabolites were extracted to yield pure compounds. Cell viability was measured by ATP‐Glo cell viability assay. The effects of Cpd‐8 on TNF signalling pathway were investigated by western blotting, immunoprecipitation, and immunofluorescence assays. A mouse model of acute liver injury (ALI) was employed to explore the protection effect of Cpd‐8, in vivo.

Key Results

Cpd‐8 selectively inhibits TNF receptor superfamily‐induced apoptosis and necroptosis. Cpd‐8 prevents the formation of cytosolic death complex II and subsequent RIPK1‐RIPK3 necrosome, while it has no effect on TNF receptor I (TNFR1) internalization and the formation of complex I in TNF signalling pathway. In vivo, Cpd‐8 protects mice against TNF‐α/D‐GalN‐induced ALI.

Conclusion and Implications

A marine fungus‐derived sesquiterpenoid, Cpd‐8, inhibits TNF receptor superfamily‐induced cell death, both in vitro and in vivo. This study not only provides a useful research tool to investigate the regulatory mechanisms of TNF‐induced cell death but also identifies a promising lead compound for future drug development.
Artificial nail modelling systems in healthcare workers: An emerging risk of contact sensitization to a well‐known occupational allergen in an alternative way
Authors: Keskinkaya Zeynep , Işık Mermutlu Selda , Kaya Özge , Çakır Haile
Published: April 2024

Background

Artificial nail modelling systems (ANMS) pose a significant risk for nail stylists and their clients regarding acrylate sensitization, which might jeopardize the use of acrylate‐containing medical devices.

Objectives

To evaluate the frequency of artificial nail practices among female healthcare workers (HCWs) compared with controls and assess ANMS‐related side effects.

Methods

In this comparative, cross‐sectional, single‐centre study, a face‐to‐face interview with 200 female HCWs and 200 age‐matched female dermatology patients (controls) was conducted regarding the use of ANMS between March and November 2023.

Results

Among 400 participants (median age: 25), 85 (21.3%) have applied ANMS at least once. The prevalence of ANMS application was significantly higher in HCWs (n = 54/200, 27%) compared with controls (n = 31/200, 15.5%) (p < 0.05). Long‐lasting nail polish was the most commonly preferred technique (n = 82/85, 96.5%). ANMS were mainly performed in nail studios by nail stylists (n = 79/85, 92.9%), while three participants were using home kits. Nail brittleness was the most frequently reported side effect (n = 19/85, 22.4%). No case of allergic contact dermatitis (ACD) was detected.

Conclusions

The popularity of ANMS among young female HCWs is growing. This striking trend might further put these individuals not only at risk of medical device‐related adverse events but also occupational ACD.
The roles of elevated temperature and carriers in the dyeing of polyester fibres using disperse dyes: Part 4 plasticisation model of dye diffusion
Authors: Burkinshaw Stephen M.
Published: April 2024

This review concerns the application of disperse dyes to poly(ethylene terephthalate) fibres using aqueous immersion dyeing processes and the roles of both elevated dyeing temperatures and carriers in the dyeing system. In this part of the paper, a novel plasticisation model of dye diffusion is proposed which reflects the crucially important mechanistic role that water‐induced fibre/polymer plasticisation adopts in the diffusion of disperse dyes within polyester and other types of polymeric material.
Improving sensitivity through data augmentation with synthetic lymph node metastases for AI‐based analysis of PSMA PET‐CT images
Authors: Trägårdh Elin , Ulén Johannes , Enqvist Olof , Edenbrandt Lars , Larsson Måns
Published: April 2024

Background

We developed a fully automated artificial intelligence (AI)AI‐based‐based method for detecting suspected lymph node metastases in prostate‐specific membrane antigen (PSMA)(PSMA) positron emission tomography‐computed tomography (PET‐CT)(PET‐CT) images of prostate cancer patients by using data augmentation that adds synthetic lymph node metastases to the images to expand the training set.

Methods

Synthetic data were derived from original training images to which new synthetic lymph node metastases were added. Thus, the original training set from a previous study (n = 420) was expanded by one synthetic image for every original image (n = 840), which was used to train an AI model. The performance of the AI model was compared to that of nuclear medicine physicians and a previously developed AI model. The human readers were alternately used as a reference and compared to either another reading or AI model.

Results

The new AI model had an average sensitivity of 84% for detecting lymph node metastases compared with 78% for human readings. Our previously developed AI method without synthetic data had an average sensitivity of 79%. The number of false positive lesions were slightly higher for the new AI model (average 3.3 instances per patient) compared to human readings and the previous AI model (average 2.8 instances per patient), while the number of false negative lesions was lower.

Conclusions

Creating synthetic lymph node metastases, as a form of data augmentation, on [18F]PSMA‐1007F]PSMA‐1007 PETPET‐CT‐CT images improved the sensitivity of an AI model for detecting suspected lymph node metastases. However, the number of false positive lesions increased somewhat.
Differential expression and clinical significance of IGF2BP3 in peritoneal dialysate of patients with varying duration of peritoneal dialysis
Authors: Shao Xiaoqi , Yao Ling , Fu Jiao , He Mengmeng , Zhang Pei
Published: April 2024

This study aims to investigate the differential expression of insulin‐like growth factor 2 mRNA‐binding protein 3 (IGF2BP3) in the peritoneal dialysate among patients with different durations of peritoneal dialysis and its association with the angiogenic marker vascular* endothelial growth factor (VEGF), the fibronectin (FN), and various clinical indicators. A cohort of 122 peritoneal dialysis patients was categorized into short‐term (≤1 year, n = 33), mid‐term (>1 and ≤5 years, n = 55), and long‐term (>5 years, n = 34) groups based on dialysis duration. We utilized enzyme‐linked immunosorbent assay (ELISA) and western blot assays to quantify the levels of IGF2BP3, VEGF, and FN in the dialysate. Our findings showed a progressive increase in IGF2BP3 levels with the duration of PD, with the long‐term group exhibiting significantly higher levels than both the short‐term and mid‐term groups (p < 0.001). A positive correlation between IGF2BP3 and VEGF (r = 0.386, p = 0.013), as well as between IGF2BP3 and FN (r = 0.340, p = 0.030), was observed. IGF2BP3 levels also correlated positively with serum creatinine, calcium, and phosphorus levels. In vitro analysis further confirmed that IGF2BP3 expression is enhanced in human peritoneal mesothelial cells under high‐glucose conditions (p < 0.05). The study highlights the potential of IGF2BP3 in PD effluent as a biomarker for monitoring PF progression, with its expression significantly correlated with the duration of PD (Pearson r = 0.897, p < 0.001). In conclusion, our results underscore a correlation between elevated IGF2BP3 levels and PD duration, suggesting the clinical significance of IGF2BP3 as a biomarker for PF progression.
Ni(II)‐binding affinity of CcNikZ‐II and its homologs: the role of the HH‐prong and variable loop revealed by structural and mutational studies
Authors: Diep Patrick , Stogios Peter J. , Evdokimova Elena , Savchenko Alexei , Mahadevan Radhakrishnan , Yakunin Alexander F.
Published: March 2024

Extracytoplasmic Ni(II)‐binding proteins (NiBPs) are molecular shuttles involved in cellular nickel uptake. Here, we determined the crystal structure of apo CcNikZ‐II at 2.38 Å, which revealed a Ni(II)‐binding site comprised of the double His (HH‐)prong (His511, His512) and a short variable (v‐)loop nearby (Thr59‐Thr64, TEDKYT). Mutagenesis of the site identified Glu60 and His511 as critical for high affinity Ni(II)‐binding. Phylogenetic analysis showed 15 protein clusters with two groups containing the HH‐prong. Metal‐binding assays with 11 purified NiBPs containing this feature yielded higher Ni(II)‐binding affinities. Replacement of the wild type v‐loop with those from other NiBPs improved the affinity by up to an order of magnitude. This work provides molecular insights into the determinants for Ni(II) affinity and paves way for NiBP engineering.
CDC7 inhibition drives an inflammatory response and a p53‐dependent senescent‐like state in breast epithelial cells
Authors: Cazzaniga Chiara , Göder Anja , Rainey Michael David , Quinlan Aisling , Coughlan Simone , Bernard Stefanus , Santocanale Corrado
Published: March 2024

Drugs that block DNA replication prevent cell proliferation, which may result in anticancer activity. The latter is dependent on the drug's mode of action as well as on cell type‐dependent responses to treatment. The inhibition of Cell division cycle 7‐related protein kinase (CDC7), a key regulator of DNA replication, decreases the efficiency of origin firing and hampers the restarting of paused replication forks. Here, we show that upon prolonged CDC7 inhibition, breast‐derived MCF10A cells progressively withdraw from the cell cycle and enter a reversible senescent‐like state. This is characterised by the rewiring of the transcriptional programme with the induction of cytokine and chemokine expression and correlates with the accumulation of Cyclic GMP‐AMP synthase (cGAS)‐positive micronuclei. Importantly, cell fate depends on Cellular tumour antigen p53 (p53) function as cells no longer enter senescence but are funnelled into apoptosis upon p53 knockout. This work uncovers key features of the secondary response to CDC7 inhibitors, which could aid the development of these compounds as anticancer drugs.
Acquired bleeding disorders
Authors: Tiede Andreas , Susen Sophie , Lisman Ton
Published: April 2024

Acquired bleeding disorders can develop in previously healthy people irrespective of age or gender but are particularly common in patients with certain underlying conditions. Here, we review recent advances in the management of acquired haemophilia A (AHA), acquired von Willebrand syndrome (AVWS), and patients with hemostatic abnormalities due to chronic liver disease (CLD). Patients with AHA can now benefit from prophylaxis with emicizumab, a therapeutic antibody that mimics the function of activated coagulation factor VIII. The treatment of AVWS remains challenging in many situations and requires careful consideration of the underlying condition. Haemostatic abnormalities in CLD are often compensated by proportional reduction in pro and anti‐haemostatic factors resulting in sustained or even increased thrombin generation. Consequently, bleeding in CLD is rarely caused by haemostatic failure and infusion of plasma or coagulation factor concentrates may not be effective.
Advances and applications in water retention technology for meat and meat products: Status and future research directions
Authors: Ji Lili , Nie Qing , Zhou Yanan , Ning Jiawen , Wang Shu , Zhou Chunyan , Luo Yi , Yang Rui , Zhang Jiamin
Published: March 2024

Water retention technology plays a critical role in enhancing the flavour and yield of meat products, as well as maximising the economic advantages of meat processing in contemporary practices. This technique enhances the economic viability of the firm by augmenting the texture profile of meat products and optimising the yield. Water retention approaches essentially encompass the manipulation of pH levels, the inhibition of protein oxidation denaturation, and the alteration of the micro‐spatial structure of muscles. This study reviewed the different factors that contribute to water loss in meat and meat products, encompassing aspects such as animal species and cuts, pH levels, processing methodologies, storage and packing conditions, and salt concentration. This study reviewed the application of water retention techniques in the context of meat processing and its resultant products. The primary objective of this study is to offer theoretical justification for the reduction of juice loss, preservation of essential water content, enhancement of texture, and improvement of meat quality throughout the stages of processing and storage.