bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Micacocidin Production-Related RSc1806 Deletion Alters the Quorum Sensing-Dependent Gene Regulation of Ralstonia pseudosolanacearum Strain OE1-1
Authors: Terazawa Yuki , Tsuzuki Masayuki , Nakajima Hiroto , Inoue Kanako , Tateda Sora , Kiba Akinori , Ohnishi Kouhei , Kai Kenji , Hikichi Yasufumi 
Published: May 2024

The soil-borne phytopathogenic gram-negative bacterium Ralstonia solanacearum species complex (RSSC) produces staphyloferrin B and micacocidin as siderophores that scavenge for trivalent iron (Fe3+) in the environment, depending on the intracellular divalent iron (Fe2+) concentration. The staphyloferrin B-deficient mutant reportedly retains its virulence, but the relationship between micacocidin and virulence remains unconfirmed. To elucidate the effect of micacocidin on RSSC virulence, we generated the micacocidin productivity-deficient mutant (Δ RSc1806) that lacks RSc1806, which encodes a putative polyketide synthase/non-ribosomal peptide synthetase, using the RSSC phylotype I Ralstonia pseudosolanacearum strain OE1-1. When incubated in the condition without Fe2+, Δ RSc1806 showed significantly lower Fe3+-scavenging activity, compared with OE1-1. Until 8 days after inoculation on tomato plants, Δ RSc1806 was not virulent, similar to the mutant (Δ phcA) missing phcA, which encodes the LysR-type transcriptional regulator PhcA that regulates the expression of the genes responsible for quorum sensing (QS)-dependent phenotypes including virulence. The transcriptome analysis revealed that RSc1806 deletion significantly altered the expression of more than 80% of the PhcA-regulated genes in the mutant grown in medium with or without Fe2+. Among the PhcA-regulated genes, the transcript levels of the genes whose expression was affected by the deletion of RSc1806 were strongly and positively correlated between the Δ RSc1806 and the phcA-deletion mutant. Furthermore, the deletion of RSc1806 significantly modified QS-dependent phenotypes, similar to the effects of the deletion of phcA. Collectively, our findings suggest that the deletion of micacocidin production-related RSc1806 alters the regulation of PhcA-regulated genes responsible for QS-dependent phenotypes including virulence as well as Fe3+-scavenging activity. [Formula: see text] Copyright © 2024 The Author(s). This is an open access article distributed under the CC BY-NC-ND 4.0 International license .
Expert consensus report on lipid mediators: Role in resolution of inflammation and muscle preservation
Authors: Serhan Charles N. , Bäck Magnus , Chiurchiù Valerio , Hersberger Martin , Mittendorfer Bettina , Calder Philip C. , Waitzberg Dan L. , Stoppe Christian , Klek Stanislaw , Martindale Robert G. ,   the International Lipids in Parenteral Nutrition Summit 2022 Experts
Published: May 2024

AbstractThis meeting report presents a consensus on the biological aspects of lipid emulsions in parenteral nutrition, emphasizing the unanimous support for the integration of lipid emulsions, particularly those containing fish oil, owing to their many potential benefits beyond caloric provision. Lipid emulsions have evolved from simple energy sources to complex formulations designed to improve safety profiles and offer therapeutic benefits. The consensus highlights the critical role of omega‐3 polyunsaturated fatty acids (PUFAs), notably eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA), found in fish oil and other marine oils, for their anti‐inflammatory properties, muscle mass preservation, and as precursors to the specialized pro‐resolving mediators (SPMs). SPMs play a significant role in immune modulation, tissue repair, and the active resolution of inflammation without impairing host defense mechanisms. The panel's agreement underscores the importance of incorporating fish oil within clinical practices to facilitate recovery in conditions like surgery, critical illness, or immobility, while cautioning against therapies that might disrupt natural inflammation resolution processes. This consensus not only reaffirms the role of specific lipid components in enhancing patient outcomes, but also suggests a shift towards nutrition‐based therapeutic strategies in clinical settings, advocating for the proactive evidence‐based use of lipid emulsions enriched with omega‐3 PUFAs. Furthermore, we should seek to apply our knowledge concerning DHA, EPA, and their SPM derivatives, to produce more informative randomized controlled trial protocols, thus allowing more authoritative clinical recommendations.
Mild therapeutic hypothermia after cardiac arrest – effect on survival with good neurological outcome outside of randomised controlled trials
Authors: Knapp Jürgen , Steffen Richard , Huber Markus , Heilman Sandra , Rauch Stefan , Bernhard Michael , Fischer Matthias 
Published: May 2024

BACKGROUNDFor nearly 20 years, in international guidelines, mild therapeutic hypothermia (MTH) was an important component of postresuscitation care. However, recent randomised controlled trials have questioned its benefits. At present, international guidelines only recommend actively preventing fever, but there are ongoing discussions about whether the majority of cardiac arrest patients could benefit from MTH treatment.OBJECTIVEThe aim of this study was to compare the outcome of adult patients treated with and without MTH after cardiac arrest.DESIGNObservational cohort study.SETTINGGerman Resuscitation Registry covering more than 31 million inhabitants of Germany and Austria.PATIENTSAll adult patients between 2006 and 2022 with out-of-hospital or in-hospital cardiac arrest and comatose on admission.MAIN OUTCOME MEASURESPrimary endpoint: hospital discharge with good neurological outcome [cerebral performance categories (CPC) 1 or 2]. Secondary endpoint: hospital discharge. We used a multivariate binary logistic regression analysis to identify the effects on outcome of all known influencing variables.RESULTSWe analysed 33 933 patients (10 034 treated with MTH, 23 899 without MTH). The multivariate regression model revealed that MTH was an independent predictor of CPC 1/2 survival and of hospital discharge with odds ratio (95% confidence intervals) of 1.60 (1.49 to 1.72),P < 0.001 and 1.89 (1.76 to 2.02),P < 0.001, respectively.CONCLUSIONOur data indicate the existence of a positive association between MTH and a favourable neurological outcome after cardiac arrest. It therefore seems premature to refrain from giving MTH treatment for the entire spectrum of patients after cardiac arrest. Further prospective studies are needed.
Influences of Leadership, Organizational Culture, and Hierarchy on Raising Concerns About Patient Deterioration: A Qualitative Study
Authors: Vehvilainen Essi , Charles Ashleigh , Sainsbury Jessica , Stacey Gemma , Field-Richards Sarah Elizabeth , Westwood Greta 
Published: May 2024

Background
Raising concerns is essential for the early detection and appropriate response to patient deterioration. However, factors such as hierarchy, leadership, and organizational culture can impact negatively on the willingness to raise concerns.

Objectives
This study aims to delve into how leadership, organizational cultures, and professional hierarchies in healthcare settings influence healthcare workers, patients, and caregivers in raising concerns about patient deterioration and their willingness to do so.

Methods
The study used a qualitative approach, conducting focus group discussions (N = 27), utilizing authentic audio-visual vignettes to prompt discussions about raising concerns. Deductive thematic analysis was employed to explore themes related to hierarchy, leadership, and organizational culture.

Results
Positive leadership that challenged traditional professional hierarchies by embracing multidisciplinary teamwork, valuing the input of all stakeholders, and championing person-centered practice fostered a positive working culture. This culture has the potential to empower clinical staff, patients, caregivers, and family members to confidently raise concerns. Staff development, clinical supervision, and access to feedback, all underpinned by psychological safety, were viewed as facilitating the escalation of concerns and, subsequently, have the potential to improve patient safety.

Conclusions
This study offers crucial insights into the intricate dynamics of leadership, hierarchy, and organizational culture, and their profound impact on the willingness of staff and patients to voice concerns in healthcare settings. Prioritizing the recommendations of this study can contribute to reducing avoidable deaths and elevating the quality of care in healthcare settings.
A unified framework for cell-type-specific eQTLs prioritization by integrating bulk and scRNA-seq data
Authors: Yu Xinyi , Hu Xianghong , Wan Xiaomeng , Zhang Zhiyong , Wan Xiang , Cai Mingxuan , Yu Tianwei , Xiao Jiashun 
Published: May 2024

AbstractGenome-wide association studies (GWASs) have identified numerous genetic variants associated with complex traits, yet the biological interpretation remains challenging, especially for variants in non-coding regions. Expression quantitative trait loci (eQTLs) studies have linked these variations to gene expression, aiding in identifying genes involved in disease mechanisms. Traditional eQTL analyses using bulk RNA sequencing (bulk RNA-seq) provide tissue-level insights but suffer from signal loss and distortion due to unaddressed cellular heterogeneity. Recently, single-cell RNA sequencing (scRNA-seq) has provided higher resolution enabling cell-type-specific eQTL (ct-eQTL) analyses. However, these studies are limited by their smaller sample sizes and technical constraints. In this paper, we present a novel statistical framework, IBSEP, which integrates bulk RNA-seq and scRNA-seq data for enhanced ct-eQTLs prioritization. Our method employs a Bayesian hierarchical model to combine summary statistics from both data types, overcoming the limitations while leveraging the advantages associated with each technique. Through extensive simulations and real-data analyses, including peripheral blood mononuclear cells and brain cortex datasets, IBSEP demonstrated superior performance in identifying ct-eQTLs compared to existing methods. Our approach unveils new transcriptional regulatory mechanisms specific to cell types, offering deeper insights into the genetic basis of complex diseases at a cellular resolution.
The Virtual Cardiologist: Three Deep Learning Pipelines in an Inexpensive Portable Device and Web/Mobile Application for Rapid Cardiovascular Diagnosis and Clinical Decision-Making
Authors: Mehrotra-Varma Shiv 
Published: May 2024

AbstractBackgroundHeart disease is the foremost cause of death worldwide, and specialty care such as cardiologists and expensive Doppler echocardiograms are scarce in rural areas. There is significant variability among physicians in interpreting heart sounds and 2D echocardiograms from more basic, widely available tools like stethoscopes and point-of-care ultrasound devices (POCUS), leading to treatment delays.Methods26 Deep-learning models were tested to optimally [a] stratify severity of aortic stenosis from POCUS 2D echocardiogram images [b] estimate cardiac ejection fraction (heart failure) from POCUS 2D echocardiogram videos and [c] identify pathologic heart murmurs using digital stethoscope recordings. The top performing model for each was integrated into a portable, inexpensive Raspberry-Pi device (Virtual Cardiologist), mobile application, and website. Each model was tested on two independent datasets to ensure accuracy. The heart murmur algorithm was also tested on 323 patients by recording their heart sounds via a custom and digital stethoscope in an outpatient setting for clinical validation.ResultsThe three top-performing models outperformed cardiologists and previous AI methods. The aortic stenosis model (AUC=0.89) utilized EfficientNet, a CNN with compound scaling built on a pre-trained computational backbone. The ejection fraction model (EchoSwin) incorporated Microsoft Swin transformers modified for video input (MAE=5.6). The heart murmur model employed an LSTM Autoencoder algorithm (AUC=0.92).ConclusionThe Virtual Cardiologist can serve as an accurate tool for patient assessment and triage for referral to tertiary care in remote areas with limited specialty care. This is the first tool of its kind for detection of multiple cardiovascular morbidities.
CSR perceptions, meaningful work and innovative behaviors: the moderated mediation effects of co-worker instrumental and emotional support
Authors: Hur Won-Moo , Moon Taewon , Won Jie Young , Rhee Seung-Yoon 
Published: May 2024

PurposeThis study examines the role of meaningful work in mediating the relationship between employees’ perceptions of corporate social responsibility (CSR) and innovative behavior. This study further examines how co-worker support, both instrumental and emotional, moderates the meaningful work–innovative behavior relationship.Design/methodology/approachUtilizing survey data from 355 employees in South Korea with a two-wave longitudinal design, path modeling with the M-plus PROCESS macro was performed to analyze the mediation and second-stage moderated mediation effects.FindingsThe results showed that the relationship between employee CSR perceptions and innovative behavior was mediated by meaningful work. Co-worker instrumental support strengthened the meaningful work–innovative behavior relationship, whereas co-worker emotional support had no significant moderating effect. The three-way interaction analysis indicated that the meaningful work–innovative behavior relationship was weakest when co-worker instrumental support was low. Additionally, instrumental support by co-workers moderated the indirect effect of CSR perceptions on innovative behavior via meaningful work.Originality/valueThis research contributes to the literature on CSR perceptions and meaningful work. Our focus on meaningful work as a key psychological mechanism provides insights into how and why employee CSR perceptions promote desirable outcomes including innovative behavior, an underexplored yet important outcome. Furthermore, by identifying co-worker instrumental support as a significant boundary condition, this study contributes to a more nuanced understanding of the social context that promotes innovative behavior.
Predicting graduate students’ entrepreneurial intentions through innovative teaching in entrepreneurship education: SEM-ANN approach
Authors: Rahman Md. Mizanur , Fayolle Alain , Dana Leo Paul , Rahman Md. Nafizur 
Published: May 2024

PurposeEntrepreneurship education (EE) through innovative teaching techniques (ITEE) and entrepreneurial intention (EI) are two essential components of entrepreneurship development. Using the assumptions of the Theory of Planned Behavior (TPB), we took three constructs: attitude (ATT), subjective norms (SUBNs), and perceived behavioral control (PBC), and from the assumption of Human Capital (HC) theory, we constructed another variable, ITEE. Thus, the fundamental objective of this study is to find out the essential predictor of EI between entrepreneurial antecedents (ATT, SUBNs, PBC) and ITEE through an artificial neural network (ANN).Design/methodology/approachUsing the snowball sampling technique, a highly structured questionnaire was sent to respondents. Finally, a sample size of 397 business graduate students was chosen.FindingsThe findings revealed that two dimensions of entrepreneurial antecedents (attitude and subjective norm) positively impacted EI. Furthermore, ITEE partially mediated the relationship between two dimensions of entrepreneurial antecedents (attitude and subjective norm) and EI. Moreover, through ANN, we found that attitude (ATT) was a crucial predictor of EI among business graduate students in Bangladesh.Research limitations/implicationsIn this study, only business graduate students were included as respondents; thus, further research should include students from other departments or disciplines to generalize the findings.Practical implicationsThis study covers numerous actors in terms of practical contributions, including students, academics, the government, and the state. This article should draw the attention of Bangladesh government policymakers regarding the significance of ITEE for developing entrepreneurship. The research framework of this study proposed that ITEE should implement antecedents of entrepreneurship into business education, boosting the ability of students to make judgments, which will also enhance EI in the future.Originality/valueIntegrating the TPB theory with human capital theory represents a significant scholarly advancement in business education for graduate students in Southeast Asia, namely Bangladesh. Furthermore, we developed a novel ITEE scale by synthesizing information from many literary sources, providing valuable insights for future researchers.
Assessment of reliability measures and cost optimization of a solar seed sowing machine
Authors: Bhandari Ashok Singh , Kumar Akshay , Ram Mangey 
Published: May 2024

PurposeIn this research work, the general form of reliability measures, which include availability, mean time to failure (MTTF), and sensitivity analysis, are investigated with their graphical representation, which would help designers and engineers improve the reliability of the system. Along with reliability assessment, a mathematical model is developed and solved to achieve the minimum cost of the system as well as maximum reliability.Design/methodology/approachIn the proposed work, a general model of a solar seed sowing machine is considered for reliability evaluation using the Markov model process. The proposed system is a series-parallel arrangement of components where three components, namely the solar panel, batteries and direct current (DC) motor, are connected in series while all the operators are connected in parallel. The implemented Markov model approach assesses several parameters of reliability, which opens the scope for improvement in reliability and other measures like mean time to failure (MTTF) and sensitivity of the proposed system. So that the machine can deliver the desired output on the field. Also, the particle swarm optimization (PSO) algorithm is applied to optimize the cost of the system with the desired level of reliability.FindingsImplementation of PSO provides the optimal cost for the proposed system with a predetermined level of reliability, which shows the relationship between reliability and cost of the system. Also, the Markov process approach provides the availability function, reliability function, reliability at different time values, MTTF and sensitivity of the proposed system.Originality/valueThis work evaluates the crucial characteristics of reliability for the proposed solar seed sowing machine using the Markov model which is a stochastic model. The assessment of reliability measures such as MTTF, availability and sensitivity plays a vital role in measuring and improving the performance of the machine in the actual environment. Examining the data obtained in this research is of great importance for the manufactures and system designers. Also, the powerful optimization technique PSO is implemented to solve a non-linear mixed-integer programming problem that provides the optimal cost for the system with desired reliability.
Unveiling dilemmas and countermeasures in the green transformation of China’s real estate industry through the lens of knowledge management
Authors: Ren Tianzhou , Li Jing , Yu Xiaofen , Marcone Maria Rosaria , Maizza Amadeo 
Published: May 2024

Purpose
Effective knowledge management has played a crucial role in propelling the green transformation of organisations and industries. Nevertheless, its underutilisation in the real estate sector has impeded the progress of green transformation. Therefore, the purpose of this paper is to offer a theoretical and practical analysis of the green transformation of the real estate industry through the lens of knowledge management and to provide a valuable reference to facilitate the industry’s green transformation.

Design/methodology/approach
This study entailed applying induction and deduction method, using China’s real estate industry as a typical case, and collecting and analysing the public data, corporate reports and literature of China’s real estate industry. On this basis, the authors conducted an in-depth analysis of the mechanisms through which the green transformation has empowered the sustainable development of China’s real estate industry, as well as the critical role of knowledge management.

Findings
The study has revealed that the primary challenges encountered by China’s real estate industry during the green transformation have stemmed from significant disparities in the knowledge base among different industry entities, the complexities related to knowledge integration and the “difficulty” of applying green knowledge across the entire life cycle. To address these issues, the authors recommend several strategic actions, including creating a dedicated green knowledge platform for the real estate industry, establishing a knowledge-sharing mechanism, enhancing knowledge acquisition on both the supply and demand sides and intensifying the focus on the application of green knowledge within the real estate industry.

Research limitations/implications
This research holds considerable theoretical and practical significance concerning the comprehension and promotion of knowledge management’s role in the green transformation of China’s real estate industry. These insights can be applied to significantly enhance the theoretical framework of knowledge management, and the research outcomes provide substantial support for propelling the green transformation in China’s real estate industry and contributing to the sustainable development of the overall economy in China.

Originality/value
From a knowledge management perspective, this study introduces a series of solutions and recommendations, presenting new research ideas and pathways for advancing the green transformation of the real estate industry. In addition to guiding the industry’s sustainable development, it also significantly contributes to enhancing the theoretical framework of knowledge management.