bluuebunny/crossref_metadata_2025 huggingface dataset:
Sex disparities in mortality and cardiovascular outcomes in chronic kidney disease
Authors: Balafa Olga , Fernandez-Fernandez Beatriz , Ortiz Alberto , Dounousi Evangelia , Ekart Robert , Ferro Charles J , Mark Patrick B , Valdivielso Jose M , Del Vecchio Lucia , Mallamaci Francesca
Published: February 2024

Sex (biologically determined) and gender (socially constructed) modulate manifestations and prognosis of a vast number of diseases, including cardiovascular disease (CVD) and chronic kidney disease (CKD). CVD remains the leading cause of death in CKD patients. Population-based studies indicate that women present a higher prevalence of CKD and experience less CVD than men in all CKD stages, although this is not as clear in patients on dialysis or transplantation. When compared to the general population of the same sex, CKD has a more negative impact on women on kidney replacement therapy. European women on dialysis or recipients of kidney transplants have life expectancy up to 44.8 and 19.8 years lower, respectively, than their counterparts of similar age in the general population. For men, these figures stand at 37.1 and 16.5 years, representing a 21% to 20% difference, respectively. Hormonal, genetic, societal, and cultural influences may contribute to these sex-based disparities. To gain a more comprehensive understanding of these

differences and their implications for patient care, well-designed clinical trials that involve a larger representation of women and focus on sex-related variables are urgently needed. This narrative review emphasizes the importance of acknowledging the epidemiology and prognosis of sex disparities in CVD among CKD patients. Such insights can guide research into the underlying pathophysiological mechanisms, leading to optimized treatment strategies and ultimately, improved clinical outcomes.
Influence maximization in social networks using community-diversified seed selection
Authors: Pattanayak Himansu Sekhar , Saxena Bhawna , Sinha Adwitiya
Published: February 2024

The community-based influence maximization in social networks refers to the strategy of amplifying the influence by leveraging the underlying connectivity patterns of the online communities. This promotes the widespread dissemination of user-generated content across socially connected entities. In our work, we have combined the simplicity of degree centrality and the bridging strength of betweenness for maximizing the influence performance. We have used community detection for partitioning the whole network into smaller subnetworks for intelligent distribution of seed nodes among these communities for improving the rate of information spreading. The proposed ranking, named as Community Diversified Seed Selection, is compared with degree centrality and betweenness centrality-based ranking in terms of rate of spreading, absolute execution time and algorithmic time complexity. The comparative study was performed on LFRμ= 0.01, LFRμ= 0.02 and LFRμ= 0.03 benchmark networks, and validated using Facebook real-world social network. Our proposed algorithm has better and faster spreading with reasonable time complexity, therefore, making it a suitable choice for larger networks.
Guiding early revascularization using [15O]H2O positron emission tomography myocardial perfusion imaging: impact of atrial fibrillation
Authors: Madsen Simon , Kjaerulff Mette Louise Gram , Ejlersen June Anita , Ranghøj Nielsen Bent Roni , Jakobsen Lars , Sörensen Jens , Tolbod Lars Poulsen , Gormsen Lars Christian
Published: February 2024

Aims

Myocardial perfusion imaging (MPI) using [15O]H2O positron emission tomography (PET) is used to guide the selection of patients with angina for invasive angiography and possible revascularization. Our study evaluated (i) whether atrial fibrillation (AF) reduces global hyperaemic myocardial blood flow (MBF) and (ii) whether [15O]H2O PET MPI effectively guides revascularization procedures for patients with ongoing AF.

Methods and results

We prospectively recruited 346 patients with angina and persistent or paroxysmal AF referred for baseline/hyperaemic [15O]H2O PET MPI. The primary outcome was revascularization within 3 months of MPI. In the analyses, patients were divided into four groups based on whether they had ongoing AF or sinus rhythm (SR) and whether they had previously documented coronary artery disease (CAD) or not. Thus, four groups were compared: SR-noCAD, AF-noCAD, SR-CAD, and AF-CAD. Hyperaemic MBF was affected by both ongoing AF and prior CAD [MBF (mL/min/g): 2.82 (SR-noCAD) vs. 2.12 (AF-noCAD) vs. 2.22 (SR-CAD) vs. 1.80 (AF-CAD), two-way analysis of variance P < 0.0001]. In multiple linear regression, ongoing AF was independently associated with reduced hyperaemic MBF. Every 0.1 mL/min/g decrease in hyperaemic MBF was associated with a 23% increase in odds of early revascularization. Receiver operating characteristic (ROC) analysis of vessel-specific hyperaemic MBF to predict early revascularization yielded the following areas under the ROC curve: SR-noCAD: 0.95 (P < 0.0001); AF-noCAD: 0.79 (P < 0.0001); SR-CAD: 0.78 (P < 0.0001); and AF-CAD: 0.88 (P < 0.0001).

Conclusion

Ongoing AF is associated with 19–25% reduced global hyperaemic MBF as measured by [15O]H2O MPI PET. Regardless, vessel-specific hyperaemic MBF still predicts early revascularization in patients with AF.
Assessment of suitability for percutaneous mitral commissurotomy: a contemporary review of key anatomical criteria and predictive models
Authors: Abdelghani Mohammad , Nunes Maria Carmo P , Anwar Ashraf M , Prendergast Bernard
Published: February 2024

The immediate result of percutaneous balloon mitral commissurotomy is largely determined by the anatomy of the mitral valve complex. Several scores and models have been developed to assess anatomical suitability for percutaneous balloon mitral commissurotomy. Although none has an optimal predictive power, these models look at the valvular apparatus from different perspectives bearing the potential for a complementary role.
Risk of Infective Endocarditis in Streptococcus mitis Bloodstream Infections Among Patients with Neutropenia from Hematologic Malignancies
Authors: Monk Miranda , Patel Nikitha R , Elshaboury Ramy , Kubiak David W , Hammond Sarah P
Published: February 2024

Streptococcus mitis commonly causes bloodstream infections (BSIs) in neutropenic patients but infrequently results in infective endocarditis (IE) in this population. Among 210 patients with neutropenia and S. mitis BSI, 55% underwent cardiac imaging. None were diagnosed with S. mitis IE; 3 had recurrent S. mitis BSI within 12 weeks.
The US–Japan alliance and the role of the US Marines on Okinawa in extended deterrence
Authors: O’Shea Paul
Published: February 2024

The relocation of the controversial Marine base at Futenma on Okinawa to Henoko in the north of the same island has been framed by Japanese politicians, officials, and analysts as crucial to deterrence. Critics respond that deterrence is merely a pretext, and the relocation is a politically convenient solution that perpetuates discrimination against Okinawa by the central government in Tokyo. This article draws on deterrence theory to evaluate the deterrence claims made by relocation proponents. It finds little evidence to support them: the Marines’ capabilities pale against the massive US forward deployment, including the Seventh Fleet and the Fifth Air Force. As for the local balance of forces, the Marines are unlikely to participate immediately in a local conflict, and their geographical location leaves them vulnerable; current US strategy is to down-scale and disperse Marine units. If one were focusing on defence rather than political convenience, the Marines would be relocated off Okinawa. In terms of credibility, the article finds that other US bases in Japan play a much more important ‘tripwire’ role, and ultimately, given inter alia the security treaty, joint exercises, and deep interoperability, US extended deterrence to Japan is as credible as possible under the circumstances.
Determination of Incidence and Risk Factors of Medical Device-Related Pressure Injury in the ICU: A Descriptive Study
Authors: Dirgar Ezgi , Gider Neslihan Yağmur , Tosun Betül
Published: February 2024

OBJECTIVE

To determine the incidence and risk factors of medical device-related pressure injury (MDRPI) in the ICU.

METHODS

In this descriptive study, the researchers collected data through systematic observation of patients (n = 58) in the ICU. The patients were evaluated within 24 hours of ICU admission and then followed up until they were discharged. A total of 482 patient-days were followed. The researchers used the MDRPI follow-up form, the patient descriptive form, the MDRPI follow-up form, and the Braden Scale for Predicting Pressure Sore Risk for data collection.

RESULTS

Overall, 39.7% of the 58 patients hospitalized in the ICU developed an MDRPI, and 5.2% of the MDRPIs were evaluated as stage 2. These injuries occurred in an average of 5 days after the patient was admitted to the ICU. Among the MDRPIs that developed, 31.9% were located in the nose, 21.3% in the mouth, and 14.9% on the cheeks. Intubation tubes were used in 7.3% of the patients, nasogastric tubes in 22.4% of the patients, and radial artery catheters in 10.5% of the patients.

CONCLUSIONS

The development of MDRPI is correlated with the type of medical device used. Providers should establish a planned care protocol based on the anatomic placement of the medical device and take necessary precautions to prevent MDRPI.
The Effect of Clinical Decision Support Systems on Patients, Nurses, and Work Environment in ICUs
Authors: Sarıköse Seda , Şenol Çelik Sevilay
Published: February 2024

This study aimed to examine the impact of clinical decision support systems on patient outcomes, working environment outcomes, and decision-making processes in nursing. The authors conducted a systematic literature review to obtain evidence on studies about clinical decision support systems and the practices of ICU nurses. For this purpose, the authors searched 10 electronic databases, including PubMed, CINAHL, Web of Science, Scopus, Cochrane Library, Ovid MEDLINE, Science Direct, Tr-Dizin, Harman, and DergiPark. Search terms included “clinical decision support systems,” “decision making,” “intensive care,” “nurse/nursing,” “patient outcome,” and “working environment” to identify relevant studies published during the period from the year 2007 to October 2022. Our search yielded 619 articles, of which 39 met the inclusion criteria. A higher percentage of studies compared with others were descriptive (20%), conducted through a qualitative (18%), and carried out in the United States (41%). According to the results of the narrative analysis, the authors identified three main themes: “patient care outcomes,” “work environment outcomes,” and the “decision-making process in nursing.” Clinical decision support systems, which target practices of ICU nurses and patient care outcomes, have positive effects on outcomes and show promise in improving the quality of care; however, available studies are limited.
Platelet-Rich Plasma: Advances and Controversies in Hair Restoration and Skin Rejuvenation
Authors: Kourosh Arianne Shadi , Santiago Mangual Kathyana P. , Farah Ronda S. , Rao Medha , Hordinsky Maria K. , Arruda Suleima , Sadick Neil
Published: February 2024

BACKGROUND

Platelet-rich plasma (PRP) and its combined therapeutic modalities have catalyzed new possibilities in dermatology; however, limitations in evidence and lack of consensus remain among clinicians regarding optimal composition, protocol, technique, and application.

OBJECTIVE

To provide an update and analysis of the evidence for PRP in hair restoration and skin rejuvenation through review of recent available data, highlighting controversies and expert insights to guide future studies, and stimulate discourse and innovations benefitting patients.

METHODS

A structured review and expert analysis of PubMed publications before October 2023, with a focus on recent literature from January 2020 through October 2023.

RESULTS AND CONCLUSION

Growing literature supports the utility and benefits of PRP and related autologous products for applications for skin and hair, with strongest evidence for androgenetic alopecia and skin rejuvenation. However, this is limited by lack of consensus regarding best practices and protocols. Randomized, controlled trials with uniform metrics comparing outcomes of various compositions of autologous blood products, preparation methods, dosimetry, and frequency of treatments are still required. This will allow the medical discourse to grow beyond the realm of expert opinion into consensus, standardization, and more wide spread adoption of best practices that will benefit patients.
Assessing Pharmacokinetic Correlates of Escitalopram-Related Adverse Drug Reactions
Authors: Kuzin Maxim , Haen Ekkehard , Kuzo Nazar , Endres Katharina , Hiemke Christoph , Paulzen Michael , Schoretsanitis Georgios
Published: February 2024

Background:

To assess the pharmacokinetic correlates of reported adverse drug reactions (ADRs) under antidepressant treatment with escitalopram (ESC) using a large therapeutic drug monitoring database.

Methods:

A large naturalistic sample of inpatients and outpatients prescribed ESC was analyzed. ADRs were classified using the Udvalg for Kliniske Undersogelser side effect rating scale. We compared ESC-treated patients with (n = 35) and without ADRs (n = 273) using ESC plasma concentrations as the primary outcome. We also compared ADR rates in the 2 groups based on 2 cut-off ESC levels reflecting the recommended upper thresholds of the therapeutic reference range of 80 ng/mL, suggested by the consensus therapeutic drug monitoring guidelines, and 40 ng/mL, based on recent meta-analysis data. The effects of age, sex, smoking, daily ESC dose, plasma concentrations, and concentrations corrected for daily dose were included in a binary logistic regression model to predict ADRs.

Results:

No differences in clinical, demographic, or pharmacokinetic parameters were observed between patients with and without ADRs (P > 0.05). Patients with ESC-related ADRs were more frequently diagnosed with psychotic disorders than those without (25% vs. 7.1%, P = 0.004). None of the variables was associated with ADR risk. Overall, ADR rates were not significantly different in patients above versus below thresholds of ESC concentrations (ESC concentrations >40 [n = 59] vs. ≤40 ng/mL [n = 249] and >80 [n = 8] vs. ≤80 ng/mL [n = 300]; P = 0.56 and P = 1.0, respectively).

Conclusions:

No distinct pharmacokinetic patterns underlying ESC-associated ADRs were observed. Further studies with more specific assessments of ADRs in larger cohorts are required to better identify potential underlying patterns.
Emerging nonpharmacological therapies for epilepsy management in Africa: a review of current trends
Authors: Aderinto Nicholas , Abdulbasit Muili Opeyemi , Afolayan Oluwatosin , Mohammed Hisham Alamin
Published: February 2024

This narrative review provides an overview of the emerging nonpharmacological therapies for epilepsy management in Africa. Evidence from clinical trials and meta-analyses suggests that nonpharmacological therapies, such as ketogenic diets, neurofeedback, yoga, and acupuncture, offer potential benefits as adjunct or alternative therapies to pharmacological approaches. These therapies have been shown to reduce seizure frequency and improve the quality of life in patients with epilepsy. However, implementing nonpharmacological therapies in Africa presents challenges such as lack of access and affordability, limited evidence, cultural and attitudinal barriers, and cost. Despite these challenges, healthcare providers should be aware of nonpharmacological therapies and have access to adequate resources for their implementation. The review emphasises the need for further research to explore the potential of combining pharmacological and nonpharmacological therapies, as well as identifying patient populations that may benefit most from nonpharmacological therapies. It also identifies the importance of addressing the challenges associated with nonpharmacological therapies, such as access, affordability, and standardisation, to ensure successful implementation in Africa.
Health Care Students' Perceptions of Bias During Their Clinical Training and Insights on Mitigating It
Authors: Parvez Mehnaz , Barnes Lisa , Gonzalez Rebecca , Prestegaard Keanna , Rick Tara J.
Published: February 2024

Purpose

To understand health care students' perception of implicit bias and examine their insights to create a bias-free training environment.

Methods

Clinical phase students from one university's 4 health care programs participated in this study. Students were surveyed regarding their knowledge of implicit bias and perception of their experiences in the clinical learning environment.

Results

The response rate was 50.9%, N = 161. In total, 52.6% reported having prior training on implicit bias, and 55% self-reported that they had personally observed preceptors who exhibited an implicit bias toward patients based on race, ethnicity, or other qualities. There was no statistically significant relationship between those with prior training on implicit bias and being able to identify implicit bias exhibited by preceptors. Participants also expressed their unwillingness to report an incident unless it is confidential due to fear of retribution.

Conclusion

This study found that health care students from one university's 4 health care programs perceived implicit bias in their clinical learning environment, which they believe could be improved by taking intentional steps. Some suggestions provided were “Safe space to report and openly discuss bias,” “Education/training on implicit bias,” “Time for self-reflection,” and “Hiring process that evaluates/trains against implicit bias.” The implication of our study is to create a bias-free training environment that will help interrupt the propagation of biases contributing to health disparity. Further research should examine a national population and identify interventional methods and outcomes in multiple health care disciplines.
Global research status and frontiers on autophagy in hepatocellular carcinoma:a comprehensive bibliometric and visualized analysis
Authors: He Tao , Zou Jieyu , Sun Ke , Yang Juan
Published: February 2024

Background:

An extensive body of research has explored the role of autophagy in hepatocellular carcinoma (HCC), revealing its critical involvement in the disease’s pathogenesis, progression, and therapeutic targeting. However, there is a discernible deficit in quantitative, analytical studies concerning autophagy in the context of HCC. Accordingly, this investigation endeavored to meticulously assess the evolution of autophagy research, employing bibliometric citation analysis to offer a comprehensive evaluation of the findings in this field.

Methods:

We conducted a literature search on August 2, 2023, to extract relevant publications spanning from 2013 to 2022, indexed in the Science Citation Index-Expanded (SCIE) of the Web of Science Core Collection (WOSCC). Subsequently, we performed a bibliometric assessment of the compiled documents using visualization tools such as CiteSpace and VOSviewer.

Results:

The search yielded 734 publications penned by 4,699 authors, encompassing contributions from 41 countries and 909 institutions, disseminated across 272 journals, and comprising 26,295 co-cited references from 2,667 journals. Notably, China led in publication volume with 264 articles (amounting to 35.9%) and exhibited the most robust collaboration with the United States. The mechanisms underlying autophagy’s influence on the emergence and advancement of HCC, as well as the implicated proteins and genes, have garnered significant attention. In recent years, investigations of targeting autophagy and the resistance to sorafenib have surfaced as pivotal themes and emerging frontiers in this domain.

Conclusion:

This study rigorously collated and distilled the prevailing research narratives and novel insights on autophagy in HCC. The resultant synthesis provides a substantive foundation for medical professionals and researchers, as well as pivotal implications for future investigative endeavors in this arena.
18F-FDG PET/CT in a Case of Clear Cell Sarcoma of the Kidney
Authors: Jin Hongfu , Yin Yafu , Wang Hui , Cheng Weiwei
Published: February 2024

18F-FDG PET/CT was performed in a 1-year-old girl who had a heterogeneous mass in the right abdominal cavity revealed by abdominal ultrasound. A heterogeneous mass with internal necrosis, cystic changes, and hemorrhage in the right kidney, accompanied by a slight increase of FDG uptake, was observed in FDG PET/CT. Malignant renal tumor was considered, and Wilms tumor was preferentially suspected. However, the mass was demonstrated as clear cell sarcoma of the kidney by histopathological examination.
Genetic diversities of Mycobacterium tuberculosis complex species in Western Kenya
Authors: Chelimo Charles Komen , Angienda Paul Oyieng , Olwal Charles Ochieng , Nyamogoba Henry
Published: February 2024

Background. Tuberculosis (TB) remains a high-burden infectious disease worldwide. Mycobacterium tuberculosis complex (MTBC) is the aetiological agent of TB.

Research Gap. The TB burden is significantly linked to the development of drug-resistant strains. Thus, there is an urgent need for close surveillance of MTBC circulating in a given region, such as Western Kenya, for treatment of TB.

Aim. To determine the proportion of MTBC species, strains and genetic diversities in circulation in HIV/AIDS-prevalent regions, and Western Kenya in particular. The clinical MTBC isolates were collected from Moi Teaching and Referral Hospital (MTRH) at Eldoret-Kenya during 2013–14. All clinical MTBC isolates were confirmed by the gold standard method (Löwenstein–Jensen medium culture) before inclusion in the investigation.

Methodology. Twelve-loci mycobacterium interspersed repetitive unit – variable-number tandem repeats (MIRU-VNTR) genotyping was performed to determine the circulating species/strains of MTBC using the www.miru-vntrplus.org web platform. Allelic diversity was calculated using the Hunter–Gaston diversity index (HGDI).

Results. The species M. tuberculosis, Mycobacterium bovis, Mycobacterium africanum, Mycobacterium pinnipedii, Mycobacterium microti, Mycobacterium caprae and Mycobacterium canetti were identified in the MTBC population. These strains were found in the Beijing, Latin American Mediterranean, Uganda 1/2, East African Indian, Ilama, West African 1/2, Harlem, URAL, Ghana, Seal, Cameroon and Vole etc. regions of Western Kenya. Notably, some isolates had unknown (new/unassigned) species. The strains were grouped into nine clusters with a clustering rate of 31.18 % and a high allelic diversity index of 0.53 was observed.

Conclusion. The present findings suggest that there is an urgent need for more awareness among healthcare professionals and stakeholders concerning the existence of foreign MTBC species/strains in Kenya. Furthermore, 12-loci MIRU-VNTR may not be suitable for the surveillance of MTBC strains in circulation in Kenya. Thus, high-resolution techniques such as whole-genome sequencing need to be adopted to resolve the genetic diversity and establish evolutionary trends for future and archived samples. This knowledge will be crucial in restraining TB, providing insights into new drug development, and developing prevention, control and treatment strategies for TB.
Activation of Macrophages by Extracellular Vesicles Derived from Babesia-infected Red Blood Cells
Authors: Hagos Biniam , Brasov Ioana , Branscome Heather , Kashanchi Fatah , Ben Mamoun Choukri , Molestina Robert E
Published: February 2024

Babesia microti is the primary cause of human babesiosis in North America. Despite an emergence of the disease in recent years, the pathogenesis and immune response to B. microti infection remain poorly understood. Studies in laboratory mice have shown a critical role for macrophages in the elimination of parasites and infected red blood cells (iRBCs). Importantly, the underlying mechanisms that activate macrophages are still unknown. Recent evidence identified the release of extracellular vesicles (EVs) from Babesia iRBCs. EVs are spherical particles released from cell membranes under natural or pathological conditions that have been suggested to play roles in host-pathogen interactions among diseases caused by protozoan parasites. The present study examined whether EVs released from cultured Babesia iRBCs activated macrophages resulting in changes in the secretion of cytokines. An analysis of vesicle size in EV fractions from Babesia iRBCs showed diverse populations in the <100 nm size range compared to EVs from uninfected RBCs. Uptake of EVs released from B. microti-iRBCs was observed in macrophages in vitro. In addition, incubation of macrophages with EVs isolated from Babesia iRBC culture supernatants resulted in the activation of NF-kappa B and modulation of pro-inflammatory cytokines. These results support a role for EVs in the activation of macrophage functions and provide new insights into the mechanisms involved in the induction of the innate immune response during babesiosis.
Role of flow structures on the deposition of low-inertia particles in turbulent pipe flow
Authors: Schlander Rasmus Korslund , Rigopoulos Stelios , Papadakis George
Published: February 2024

We analyze the effect of large-scale coherent structures on the deposition of low-inertia particles in a turbulent pipe flow using extended proper orthogonal decomposition (EPOD) and spectral analysis. We perform direct numerical simulations (DNSs) at two the Reynolds numbers 5300 and 10 300 (based on bulk parameters) with the particles released at the pipe inlet. The equilibrium Eulerian model is employed for calculating particle velocity, and the analysis is limited to particles with Stokes number (based on wall units) less than 1. Increasing the Stokes number increases the energy at small streamwise wavelengths (due to inertial clustering), and the spectral energy peak moves from λz+≈1000 to λz+≈150. The spectral peak in the (λz+,y+) plane, where y+ is the wall-normal distance, moves from the buffer layer to the logarithmic region. Gravity has a substantial effect on the POD mode shapes. For the downward flow, a second peak appears closer to the center. A new Fukagata-Iwamoto-Kasagi (FIK) identity is derived for the wall deposition rate coefficient (Sherwood number, Sh) and employed to quantify the contributions of the mean and fluctuating velocity and particle concentration fields for different Stokes, Froude, and Reynolds numbers. Modes with azimuthal wave numbers kθ equal to three or four are found to contribute most to deposition. Application of the developed methodology to higher Reynolds number can elucidate the role of large- and very-large-scale flow structures on particle deposition to the wall. It is well known these structures leave their footprint at the wall but their contribution to deposition is not well understood.

Published by the American Physical Society
2024
Investigation of the
6s6p P03−4f135d6s2
(
J=2
) Clock Transition in
Yb171
Atoms
Authors: Qiao Hao , Ai Di , Sun Chang-Yue , Peng Cheng-Quan , Qi Qi-Chao , Zhao Cheng-Cheng , Luo Li-Meng , Jin Tao-Yun , Zhang Tao , Zhou Min , Xu Xin-Ye
Published: February 2024

High-precision atomic spectroscopy provides an invaluable and sensitive tool for exploring a wide range of physical questions. Here, we investigate the forbidden optical transition of the 6s6pP30−4f135d6s2 (J=2) in Y171b atoms at the wavelength of 1695 nm, which exhibits the highest sensitivity to the variation of the fine-structure constant α compared to the current neutral optical clock. We obtain high-resolution transition spectroscopy in a one-dimensional optical lattice, and the measurement of its absolute frequency achieves kHz-level accuracy. Meanwhile, several essential atomic constants are also determined, including the electric-dipole (E1) magic wavelengths, as well as the hyperpolarizabilities and tensor polarizabilities around the E1 magic wavelengths. Additionally, we derive the hyperfine constant for the J=2 state from the measured absolute frequencies 1123 252.3±2.0  kHz, providing a sixfold enhancement in the uncertainty reduction compared to the recent result. We anticipate that this work will prompt further investigation of the additional clock transition at 1695 nm in Y171b atoms. Together with the well-established S01−P03 transition, many fundamental and new physics research, such as the time variation of α, ultralight dark-matter searches, Lorentz violation, etc., will enable new bounds and measurements with unprecedented precision.

Published by the American Physical Society
2024
Expression, purification and crystallization of the photosensory module of phytochrome B (phyB) from Sorghum bicolor
Authors: Shenkutie Sintayehu Manaye , Nagano Soshichiro , Hughes Jon
Published: February 2024

Sorghum, a short-day tropical plant, has been adapted for temperate grain production, in particular through the selection of variants at the MATURITY loci (Ma1–Ma6) that reduce photoperiod sensitivity. Ma3 encodes phytochrome B (phyB), a red/far-red photochromic biliprotein photoreceptor. The multi-domain gene product, comprising 1178 amino acids, autocatalytically binds the phytochromobilin chromophore to form the photoactive holophytochrome (Sb.phyB). This study describes the development of an efficient heterologous overproduction system which allows the production of large quantities of various holoprotein constructs, along with purification and crystallization procedures. Crystals of the Pr (red-light-absorbing) forms of NPGP, PGP and PG (residues 1–655, 114–655 and 114–458, respectively), each C-terminally tagged with His6, were successfully produced. While NPGP crystals did not diffract, those of PGP and PG diffracted to 6 and 2.1 Å resolution, respectively. Moving the tag to the N-terminus and replacing phytochromobilin with phycocyanobilin as the ligand produced PG crystals that diffracted to 1.8 Å resolution. These results demonstrate that the diffraction quality of challenging protein crystals can be improved by removing flexible regions, shifting fusion tags and altering small-molecule ligands.
A service-based approach to cryoEM facility processing pipelines at eBIC
Authors: Horstmann Anna , Riggs Stephen , Chaban Yuriy , Clare Daniel K. , de Freitas Guilherme , Farmer David , Howe Andrew , Morris Kyle L. , Hatton Daniel
Published: February 2024

Electron cryo-microscopy image-processing workflows are typically composed of elements that may, broadly speaking, be categorized as high-throughput workloads which transition to high-performance workloads as preprocessed data are aggregated. The high-throughput elements are of particular importance in the context of live processing, where an optimal response is highly coupled to the temporal profile of the data collection. In other words, each movie should be processed as quickly as possible at the earliest opportunity. The high level of disconnected parallelization in the high-throughput problem directly allows a completely scalable solution across a distributed computer system, with the only technical obstacle being an efficient and reliable implementation. The cloud computing frameworks primarily developed for the deployment of high-availability web applications provide an environment with a number of appealing features for such high-throughput processing tasks. Here, an implementation of an early-stage processing pipeline for electron cryotomography experiments using a service-based architecture deployed on a Kubernetes cluster is discussed in order to demonstrate the benefits of this approach and how it may be extended to scenarios of considerably increased complexity.
Artificial intelligence in entrepreneurship education: a scoping review
Authors: Chen Li , Ifenthaler Dirk , Yau Jane Yin-Kim , Sun Wenting
Published: February 2024

Purpose

The study aims to identify the status quo of artificial intelligence in entrepreneurship education with a view to identifying potential research gaps, especially in the adoption of certain intelligent technologies and pedagogical designs applied in this domain.

Design/methodology/approach

A scoping review was conducted using six inclusive and exclusive criteria agreed upon by the author team. The collected studies, which focused on the adoption of AI in entrepreneurship education, were analysed by the team with regards to various aspects including the definition of intelligent technology, research question, educational purpose, research method, sample size, research quality and publication. The results of this analysis were presented in tables and figures.

Findings

Educators introduced big data and algorithms of machine learning in entrepreneurship education. Big data analytics use multimodal data to improve the effectiveness of entrepreneurship education and spot entrepreneurial opportunities. Entrepreneurial analytics analysis entrepreneurial projects with low costs and high effectiveness. Machine learning releases educators’ burdens and improves the accuracy of the assessment. However, AI in entrepreneurship education needs more sophisticated pedagogical designs in diagnosis, prediction, intervention, prevention and recommendation, combined with specific entrepreneurial learning content and entrepreneurial procedure, obeying entrepreneurial pedagogy.

Originality/value

This study holds significant implications as it can shift the focus of entrepreneurs and educators towards the educational potential of artificial intelligence, prompting them to consider the ways in which it can be used effectively. By providing valuable insights, the study can stimulate further research and exploration, potentially opening up new avenues for the application of artificial intelligence in entrepreneurship education.
What if ChatGPT generates quantitative research data? A case study in tourism
Authors: Sop Serhat Adem , Kurçer Doğa
Published: February 2024

Purpose

This study aims to explore whether Chat Generative Pre-training Transformer (ChatGPT) can produce quantitative data sets for researchers who could behave unethically through data fabrication.

Design/methodology/approach

A two-stage case study related to the field of tourism was conducted, and ChatGPT (v.3.5.) was asked to respond to the first questionnaire on behalf of 400 participants and the second on behalf of 800 participants. The artificial intelligence (AI)-generated data sets’ quality was statistically tested via descriptive statistics, correlation analysis, exploratory factor analysis, confirmatory factor analysis and Harman's single-factor test.

Findings

The results revealed that ChatGPT could respond to the questionnaires as the number of participants at the desired sample size level and could present the generated data sets in a table format ready for analysis. It was also observed that ChatGPT's responses were systematical, and it created a statistically ideal data set. However, it was noted that the data produced high correlations among the observed variables, the measurement model did not achieve sufficient goodness of fit and the issue of common method bias emerged. The conclusion reached is that ChatGPT does not or cannot yet generate data of suitable quality for advanced-level statistical analyses.

Originality/value

This study shows that ChatGPT can provide quantitative data to researchers attempting to fabricate data sets unethically. Therefore, it offers a new and significant argument to the ongoing debates about the unethical use of ChatGPT. Besides, a quantitative data set generated by AI was statistically examined for the first time in this study. The results proved that the data produced by ChatGPT is problematic in certain aspects, shedding light on several points that journal editors should consider during the editorial processes.
Consumer behavior in Islamic banking: a systematic literature review and agenda for future research
Authors: R.V. ShabbirHusain , Annamalai Balamurugan , Chandrasekaran Shabana
Published: February 2024

Purpose

This study aims to conduct a systematic literature review on consumer behavior (CB) in Islamic banking (IB), encompassing an overview of researched contexts and topics, identifying literature gaps and proposing a comprehensive future research agenda.

Design/methodology/approach

By using bibliometric citation and content analysis, this study investigates 135 documents sourced from Scopus indexed publications.

Findings

This study delves into the growing field of CB in IB, offering a comprehensive understanding that encompasses influential journals, theories, research context, characteristics and methods used in IB research.

Originality/value

To the best of the authors’ knowledge, this study is the first to provide a comprehensive review of CB studies in the IB domain detailing research topics, prevailing theories, research settings, important variables and research methods.
ChatGPT: a game changer for knowledge management in organizations
Authors: Sumbal Muhammad Saleem , Amber Quratulain
Published: February 2024

Purpose

Generative AI and more specifically ChatGPT has brought a revolution in the lives  of people by providing them with required knowledge that it has learnt from an exponentially large knowledge base. In this viewpoint, we are initiating the debate and offer the first step towards Generative AI based knowledge management systems in organizations.

Design/methodology/approach

This study is a viewpoint and develops a conceptual foundation using existing literature on how ChatGPT can enhance the KM capability based on Nonaka’s SECI model. It further supports the concept by collecting data from a public sector univesity in Hong Kong to strenghten our argument of ChatGPT mediated knowledge management system.

Findings

We posit that all four processes, that is Socialization, Externalization, Combination and Internalization can significantly improve when integrated with ChatGPT. ChatGPT users are, in general, satisfied with the use of ChatGPT being capable of facilitating knowledge generation and flow in organizations.

Research limitations/implications

The study provides a conceptual foundation to further the knowledge on how ChatGPT can be integrated within organizations to enhance the knowledge management capability of organizations. Further, it develops an understanding on how managers and executives can use ChatGPT for effective knowledge management through improving the four processes of Nonaka’s SECI model.

Originality/value

This is one of the earliest studies on the linkage of knowledge management with ChatGPT and lays a foundation for ChatGPT mediated knowledge management system in organizations.
Knowledge exploration in cross-border acquisitions: how does absorptive capacity matter?
Authors: Moura Stephanie , Falaster Christian Daniel , Lawton Thomas C.
Published: February 2024

Purpose

This study aims to explore how the absorptive capacity of emerging market multinationals (EMNEs) facilitates increased acquirer performance in industry exploration and technology exploration cross-border acquisitions (CBAs).

Design/methodology/approach

The research context for this study is Brazilian EMNEs and their CBAs. The final database contains 101 CBAs.

Findings

The authors find that industry exploration strategies negatively affect financial performance, but technology exploration strategies have a positive effect. The acquirer’s absorptive capacity can exacerbate the negative effects, except in instances of technology exploration strategies, where there is a demonstrable benefit from the acquirer’s absorptive capacity.

Originality/value

The study contributes first by providing a more nuanced understanding of the effects of absorptive capacity on postacquisition performance, depending on the type of knowledge explored. Second, by drawing on EMNE learning perspectives, the authors demonstrate the versatility of absorptive capacity in emerging markets.
Star CEOs: influence on competitor CEOs' risk-taking
Authors: Cho Sam Yul , Choi Yohan
Published: February 2024

Purpose

Research has focused primarily on the antecedents that influence the risk taking of CEOs themselves. This study examines how an important event experienced by a CEO at a direct rival firm influences a CEO's risk-taking. It also examines how prior firm performance relative to aspirations moderates the relationship.

Design/methodology/approach

In order to test the hypothesis, the authors perform an a difference-in-differences methodology.

Findings

Using a difference-in-differences methodology, we find that when a CEO wins a prestigious CEO award, competitor CEOs increase their firm risk-taking in the post-award period. The proclivity becomes stronger when their prior firm performance relative to aspirations is better. These findings suggest that a CEO winning a prominent CEO award influences competitor CEOs' risk-taking.

Originality/value

This study contributes to the literature on managerial risk-taking by highlighting that a star CEO winning a prominent award may serve as a striving aspiration and induce competitor CEOs to take risks, and that two different types of aspirations – striving and competitive aspirations – interact to influence the competitor CEOs' risk-taking.
Thermal management of square light emitting diode arrays: modeling and parametric analysis
Authors: Ben Hamida Mohamed Bechir
Published: February 2024

Purpose

This study investigates the impact of three parameters such as: number of LED chips, pitch and LED power on the junction temperature of LEDs using a best heat sink configuration selected according to a lower temperature. This study provides valuable insights into how to design LED arrays with lower junction temperatures.

Design/methodology/approach

To determine the best configuration of a heat sink, a numerical study was conducted in Comsol Multiphysics on 10 different configurations. The configuration with the lowest junction temperature was selected for further analysis. The number of LED chips, pitch and LED power were then varied to determine the optimal configuration for this heat sink. A general equation for the average LED temperature as a function of these three factors was derived using Minitab software.

Findings

Among 10 configurations of the rectangular heat sink, we deduce that the best configuration corresponds to the first design having 1 mm of width, 0.5 mm of height and 45 mm of length. The average temperature for this design is 50.5 C. For the power of LED equal to 50 W–200 W, the average temperature of this LED drops when the number of LED chips reduces and the pitch size decreases. Indeed, the best array-LED corresponds to 64 LED chips and a pitch size of 0.5 mm. In addition, a generalization equation for average temperature is determined as a function of the number of LED chips, pitch and power of LED which are key factors for reducing the Junction temperature.

Originality/value

The study is original in its focus on three factors that have not been studied together in previous research. A numerical simulation method is used to investigate the impact of the three factors, which is more accurate and reliable than experimental methods. The study considers a wide range of values for the three factors, which allows for a more comprehensive understanding of their impact. It derives a general equation for the average temperature of the LED, which can be used to design LED arrays with desired junction temperatures.
Genome‐wide analysis of bZIP gene family members in Pleurotus ostreatus, and potential roles of PobZIP3 in development and the heat stress response
Authors: Zhou Yuanyuan , Li Zihao , Xu Congtao , Pan Jinlong , Li Haikang , Zhou Yi , Zou Yajie
Published: February 2024

The basic leucine zipper (bZIP) transcription factor (TF) is widespread among eukaryotes and serves different roles in fungal processes including nutrient utilization, growth, stress responses and development. The oyster mushroom (Pleurotus ostreatus) is an important and widely cultivated edible mushroom worldwide; nevertheless, reports are lacking on the identification or function of bZIP gene family members in P. ostreatus. Herein, 11 bZIPs on 6 P. ostreatus chromosomes were systematically identified, which were classified into 3 types according to their protein sequences. Phylogenetic analysis of PobZIPs with other fungal bZIPs indicated that PobZIPs may have differentiated late. Cis‐regulatory element analysis revealed that at least one type of stress‐response‐related element was present on each bZIP promoter. RNA‐seq and RT‐qPCR analyses revealed that bZIP expression patterns were altered under heat stress and different developmental stages. We combined results from GST‐Pull‐down, EMSA and yeast two‐hybrid assays to screen a key heat stress‐responsive candidate gene PobZIP3. PobZIP3 overexpression in P. ostreatus enhanced tolerance to high temperature and cultivation assays revealed that PobZIP3 positively regulates the development of P. ostreatus. RNA‐seq analysis showed that PobZIP3 plays a role in glucose metabolism pathways, antioxidant enzyme activity and sexual reproduction. These results may support future functional studies of oyster mushroom bZIP TFs.
Using MRI radiomics to predict the efficacy of immunotherapy for brain metastasis in patients with small cell lung cancer
Authors: Shi Xiaonan , Wang Peiliang , Li Yikun , Xu Junhao , Yin Tianwen , Teng Feifei
Published: February 2024

Background

Brain metastases (BMs) are common in small cell lung cancer (SCLC), and the efficacy of immune checkpoint inhibitors (ICIs) in these patients is uncertain. In this study we aimed to develop and validate a radiomics nomogram based on magnetic resonance imaging (MRI) for intracranial efficacy prediction of ICIs in patients with BMs from SCLC.

Methods

The training and validation cohorts consisted of 101 patients from two centers. The interclass correlation coefficient (ICC), logistic univariate regression analysis, and random forest were applied to select the radiomic features, generating the radiomics score (Rad‐score) through the formula. Using multivariable logistic regression analysis, a nomogram was created by the combined model. The discrimination, calibration, and clinical utility were used to assess the performance of the nomogram. Kaplan–Meier curves were plotted based on the nomogram scores.

Results

Ten radiomic features were selected for calculating the Rad‐score as they could differentiate the intracranial efficacy in the training (area under the curve [AUC], 0.759) and the validation cohort (AUC, 0.667). A nomogram was created by combining Rad‐score, treatment lines, and neutrophil‐to‐lymphocyte ratio (NLR). The training cohort obtained an AUC of 0.878 for the combined model, verified in the validation cohort (AUC = 0.875). Kaplan–Meier analyses showed the nomogram was associated with progression‐free survival (PFS) (p = 0.0152) and intracranial progression‐free survival (iPFS) (p = 0.0052) but not overall survival (OS) (p = 0.4894).

Conclusion

A radiomics nomogram model for predicting the intracranial efficacy of ICIs in SCLC patients with BMs can provide suggestions for exploring individual‐based treatments for patients.