bluuebunny/crossref_metadata_2025_split huggingface dataset:
High prevalence of lipopolysaccharide mutants and R2-Pyocin susceptible variants inPseudomonas aeruginosapopulations sourced from cystic fibrosis lung infections
Authors: Mei Madeline , Pheng Preston , Kurzeja-Edwards Detriana , Diggle Stephen P. 
Published: April 2023

ABSTRACTChronic, highly antibiotic-resistant infections in cystic fibrosis (CF) lungs contribute to increasing morbidity and mortality.Pseudomonas aeruginosa, a common CF pathogen, exhibits resistance to multiple antibiotics, contributing to antimicrobial resistance (AMR). These bacterial populations display genetic and phenotypic diversity, but it is unclear how this diversity affects susceptibility to bacteriocins. R-pyocins, i.e. bacteriocins produced byP. aeruginosa, are phage tail-like antimicrobials. R-pyocins have potential as antimicrobials, however recent research suggests the diversity ofP. aeruginosavariants within CF lung infections leads to varying susceptibility to R-pyocins. This variation may be linked to changes in lipopolysaccharide (LPS), acting as the R-pyocin receptor. Currently, it is unknown how frequently R-pyocin-susceptible strains are in chronic CF lung infection, particularly when considering the heterogeneity within these strains. In this study, we tested R2-pyocin susceptibility of 139P. aeruginosavariants from 17 sputum samples of seven CF patients and analyzed LPS phenotypes. We found that 83% of sputum samples did not have R2-pyocin-resistant variants, while nearly all samples contained susceptible variants. there was no correlation between LPS phenotype and R2-pyocin susceptibility, though we estimate that about 76% of sputum-derived variants lack an O-specific antigen, 40% lack a common antigen, and 24% have altered LPS cores. The absence of a correlation between LPS phenotype and R-pyocin susceptibility suggests LPS packing density may play a significant role in R-pyocin susceptibility among CF variants. Our research supports the potential of R-pyocins as therapeutic agents, as many infectious CF variants are susceptible to R2-pyocins, even within diverse bacterial populations.IMPORTANCECystic fibrosis (CF) patients often experience chronic, debilitating lung infections caused by antibiotic-resistant Pseudomonas aeruginosa, contributing to antimicrobial resistance (AMR). The genetic and phenotypic diversity of P. aeruginosa populations in CF lungs raises questions about their susceptibility to non-traditional antimicrobials, like bacteriocins. In this study, we focused on R-pyocins, a type of bacteriocin with high potency and a narrow killing spectrum. Our findings indicate that a large number of infectious CF variants are susceptible to R2-pyocins, even within diverse bacterial populations, supporting their potential use as therapeutic agents. The absence of a clear correlation between lipopolysaccharide (LPS) phenotypes and R-pyocin susceptibility suggests that LPS packing density may play a significant role in R-pyocin susceptibility among CF variants. Understanding the relationship between LPS phenotypes and R-pyocin susceptibility is crucial for developing effective treatments for these chronic infections.
Visually evoked neuronal ensembles reactivate during sleep
Authors: Lines Justin , Yuste Rafael 
Published: April 2023

AbstractNeuronal ensembles, defined as groups of coactive neurons, dominate cortical activity and are causally related to perceptual states and behavior. Interestingly, ensembles occur spontaneously in the absence of sensory stimulation. To better understand the function of ensembles in spontaneous activity, we explored if ensembles also occur during different brain states, including sleep, using two-photon calcium imaging from mouse primary visual cortex. We find that ensembles are present during all wake and sleep states, with different characteristics depending on the exact sleep stage. Moreover, visually evoked ensembles are reactivated during subsequent slow wave sleep cycles. Our results are consistent with the hypothesis that repeated sensory stimulation can reconfigure cortical circuits and imprint neuronal ensembles that are reactivated during sleep for potential processing or memory consolidation.One-Sentence SummaryCortical neuronal ensembles are present across wake and sleep states, and visually evoked ensembles are reactivated in subsequent slow-wave sleep.
“As bad as bad can be”: accounting for species extinction in the North Pacific
Authors: McBride Karen , Sagitova Roza , Cam Olga 
Published: April 2023

PurposeThis paper explores the reporting of the Russian American Company (RAC), from 1840 to 1863. Trading in fur, company fears of animal extinctions viewed from a monetary perspective led to early extinction reporting practice. These were not altruistic reports; they were generated by a wish to use natural resources. Despite the motivations, these reports present an example of successful extinction management by a for-profit company and a workable example of emancipatory extinction accounting.Design/methodology/approachUsing thematic analysis, this study demonstrates how moving from transparency to accountability driven accounting can assist in biodiversity reporting, by exploring this historical business case of extinction management through the lens of Atkins and Maroun's (2018) extinction framework.FindingsThe application of the framework to the RAC's set of reports indicates that this offers a viable proposal for development of extinction management, providing a reporting tool for a for-profit company.Originality/valueExploring RAC's reports focusing on their extinction management processes and reporting, the paper contributes to the contemporary debate on the development of extinction reporting frameworks. These historical examples of extinction accounting, show extinction management and reporting is not a unique contemporary development in accounting. The research uses historical data as the empirical foundation for exploring applicability and further development of this extinction framework.
A relatedness-based model of transformational leadership: a case study of Bangabandhu Sheikh Mujibur Rahman and 1960s East Bengal
Authors: Hajjaj Bobby 
Published: April 2023

PurposeRecent academic work on leadership has focused largely on organizational leadership. This study takes a close look at political leadership, especially that given to popular movements, and delineates a new model of transformational leadership.Design/methodology/approachThe current study borrows models from organizational leadership research and applies them to a specific case study to reveal critical concepts underlying transformational leadership. Application of these models to Bangladesh's founding father, Bangabandhu Sheikh Mujibur Rahman, during the two decades of the 1950 and 1960s, shows potential for a new flexible framework for transformational leadership with added significance on leader–follower relatedness, socio-historical context and charisma.FindingsThis study presents clear evidence on the nature of leadership in popular movements and using a specific case study elucidates that movements pick leaders who meet distinct criteria specific to the movement, including a vision that resounds with key follower-groups and prototypicality.Research limitations/implicationsThis study presents a new lens under which political and popular leadership can be studied, focusing away from person, political party or rational choice and voting behavior-based ideas of political leadership.Originality/valueThe findings reveal the importance of seeking new ways to fit leadership theory with burgeoning social phenomenon.
An enquiry into competitive value of sustainable manufacturing capabilities
Authors: Pande Bhavya , Adil Gajendra K. 
Published: April 2023

PurposeDespite its great practical and theoretical significance, research on how and to what extent sustainable manufacturing capabilities (SMCs) provide competitive advantage to firms remains scarce. Towards bridging the gap, this paper conducts an enquiry into the competitive value of SMCs.Design/methodology/approachA theoretical framework on the competitive value of four SMCs, namely, pollution control (PC), pollution prevention (PP), product stewardship (PS) and clean technology (CT) is developed through synthesis of literature. More specifically, competitive value is characterised in terms of enabling key resources and market positioning opportunities. A case study, using a deductive qualitative approach is conducted to test the framework by analysing reported sustainable manufacturing practices (SMPs) of three multinational firms. Observed compliances and deviations to the framework are analysed and accordingly few propositions are framed.FindingsThe empirical findings largely support the conceptualisation of competitive value for PC, PP, PS and CT provided in the theoretical framework. However, a few deviations were observed for PC, PP and PS. For instance, some PC-based actions, such as co-processing and implementation of zero liquid discharge technology show characteristics of resource conservation and lead to cost benefits. Similarly, there were instances when PP demonstrated the use of non-tacit (imitable) resources and PS was employed to seek compliance to environmental regulations.Research limitations/implicationsThe results based on limited number of case firms may not be generalisable to other sectors and contexts.Practical implicationsThe study provides guidance to the manufacturing managers about the competitive value of SMPs.Originality/valueThis is a novel study that empirically investigates the competitive value of SMCs by understanding the associated sustainability impetus, enabling key resources and market positioning opportunities.
A systematic literature review of weak signal identification and evolution for corporate foresight
Authors: Zhao Dongyuan , Tang Zhongjun , He Duokui 
Published: April 2023

PurposeWith the intensification of market competition, there is a growing demand for weak signal identification and evolutionary analysis for enterprise foresight. For decades, many scholars have conducted relevant research. However, the existing research only cuts in from a single angle and lacks a systematic and comprehensive overview. In this paper, the authors summarize the articles related to weak signal recognition and evolutionary analysis, in an attempt to make contributions to relevant research.Design/methodology/approachThe authors develop a systematic overview framework based on the most classical three-dimensional space model of weak signals. Framework comprehensively summarizes the current research insights and knowledge from three dimensions of research field, identification methods and interpretation methods.FindingsThe research results show that it is necessary to improve the automation level in the process of weak signal recognition and analysis and transfer valuable human resources to the decision-making stage. In addition, it is necessary to coordinate multiple types of data sources, expand research subfields and optimize weak signal recognition and interpretation methods, with a view to expanding weak signal future research, making theoretical and practical contributions to enterprise foresight, and providing reference for the government to establish weak signal technology monitoring, evaluation and early warning mechanisms.Originality/valueThe authors develop a systematic overview framework based on the most classical three-dimensional space model of weak signals. It comprehensively summarizes the current research insights and knowledge from three dimensions of research field, identification methods and interpretation methods.
Geometric void-multiscale model for evaluating the effect of bead width and layer height on voids in FDM parts
Authors: Sheikh Taha , Behdinan Kamran 
Published: April 2023

Purpose
This paper aims to present a geometrical void model in conjunction with a multiscale method to evaluate the effect of interraster distance, bead (raster) width and layer height, on the voids concentration (volume) and subsequently calculate the final mechanical properties of the fused deposition modeling parts at constant infill.

Design/methodology/approach
A geometric model of the voids inside the representative volume element (RVE) is combined with a two-scale asymptotic homogenization method. The RVEs are subjected to periodic boundary conditions solved by finite element (FE) to calculate the effective mechanical properties of the corresponding RVEs. The results are validated with literature and experiments.

Findings
Bead width from 0.2 to 0.3 mm, reported a decrease of 25% and 24% void volume for a constant layer height (0.1 and 0.2 mm – 75% infill). It is reported that the void’s volume increased up to 14%, 32% and 36% for 75%, 50% and 25% infill by varying layer height (0.1–0.2  and 0.3 mm), respectively. For elastic modulus, 14%, 9% and 10% increase is reported when the void’s volume is decreased from 0.3 to 0.1 mm at a constant 75% infill density. The bead width and layer height have an inverse effect on voids volume.

Originality/value
This work brings values: a multiscale-geometric model capable of predicting the voids controllability by varying interraster distance, layer height and bead width. The idealized RVE generation slicer software and Solidworks save time and cost (<10 min, $0). The proposed model can effectively compute the mechanical properties together with the voids analysis.
Fishermen’s competitiveness and labour market performance: Evidence from shrimpers in Bangladesh
Authors: Islam Asad , Tasneem Sakiba , Wang Liang Choon 
Published: April 2023

AbstractWe conduct an experiment to determine competitiveness among shrimpers who engage in collecting shrimp seeds in the southwestern coastal region of Bangladesh. We then examine how competitiveness affects the labour supply decisions and labour market performance of these shrimpers. Our results show that shrimpers who prefer competition are more productive than shrimpers who do not prefer competition. Competitive shrimpers secure better prices and earn higher incomes selling their catches. We estimate that their wage elasticity of participation ranges from 0.4 to 0.5, which is consistent with preferences under neoclassical assumptions. Competitive shrimpers have a slightly greater wage elasticity than non‐competitive shrimpers, suggesting that they might be more responsive to expected earnings. Our results have important policy implications for the efficient management of common pool resources.
The Syzygy, Reformulation and New Perspectives: Dreams, Anima‐Animus and Gender1
Authors: Saiz Mario , Abalos Ma. Paz , Grez Claudia , Bartfeld Michael , Benchin Federico , Toloza Susana , Porre Madeleine , Falcone Javiera 
Published: April 2023

AbstractThe main objective of this qualitative and quantitative research paper is to explore the occurrences and relations of the anima, animus and androgynous in dreams, with particular emphasis on the consideration of the androgynous in the human psyche. The sample consists of 9 series of dreams (141 dreams in total), from 9 dreamers, 7 women (female sex/gender) and 2 men (male sex/gender), aged 25–57, heterosexual, undergoing Jungian psychotherapy, and presenting couple‐related themes. Statistical results and qualitative analysis offer new input for the re‐vision of the classical anima‐animus model, and the addition of in‐depth explorations into the androgynous, paving the way for a new model of psychopathology and psychotherapeutic clinical work, in transition.
Lung neuroendocrine neoplasms: a single centre surgical series and analysis of staging
Authors: Davies Reece A. , Alam Naveed Z. , Wright Gavin M. 
Published: April 2023

AbstractBackgroundTo review the outcomes of surgically resected lung neuroendocrine neoplasms (LNEN) at a tertiary referral centre and to validate a previously published LNEN‐specific staging system (NETL).MethodsAll patients who were identified on histopathology to have LNEN were included. Pre‐, intra‐ and post‐operative outcomes were collected, including long‐term survival. Patients were staged by both the TNM (seventh and eighth edition) and NETL staging (seventh and eighth edition definitions). Kaplan–Meier (KM) survival analysis was performed according to histopathology and stage, along with uni‐ and multivariate analyses.ResultA total of 132 patients were included in the study, with a median age of 65 years; 55% were female. Typical carcinoid (TC) was the most common pathology (53.4%) followed by large cell neuroendocrine carcinoma (LCNEC – 23.5%), atypical carcinoid (AC – 20.5%) and small cell carcinoma (3.0%). The most common operation performed was a lobectomy (55.3%). Overall survival at 5 years was 80% (100% TC, 78.2% AC, LCNEC 40.9%) and 5‐year disease free survival was 76.8% (TC 94.3%, AC 56.8%, LCNEC 56.4%). KM curves showed a trend towards NETL performing better than TNM, however, in multivariate analysis only the histological subtype was found to be significant in our study.ConclusionThis is the largest known Australian series of LNEN to date, showing survival comparable to international outcomes. We have demonstrated large variations in outcome, driven by histological grade. The TNM system does not correlate with survival and we have not been able to show that currently proposed NETL staging is superior.
Magnetically controlled artificial urinary sphincter: An overview from existing devices to future developments
Authors: Liao Yucheng , Wang Minghui , Liu Yunlong , Zhou Wei , Liu Ji , Yu Hongliu 
Published: April 2023

AbstractBackgroundUrinary incontinence is a common clinical problem in the world today. Artificial urinary sphincter is a good treatment approach for severe urinary incontinence, which is designed to mimic the action of the human urinary sphincter and assist patients to regain urinary function.MethodsThere are many control methods based on artificial urinary sphincter, such as hydraulic control, electromechanical control, magnetic control, and shape memory alloy control. In this paper, the literature was first searched and documented based on PRISMA search strategy for selected specific subject terms. Then, a comparison of artificial urethral sphincters based on different control methods was conducted, and the research progress of magnetically controlled artificial urethral sphincters was reviewed, and their advantages and disadvantages were summarized. Finally, the design factors for the clinical application of magnetically controlled artificial urinary sphincter are discussed.ResultsAs magnetic control allows for non‐contact force transfer and does not generate heat, it is proposed that magnetic control may be one of the more promising control methods. The design of future magnetically controlled artificial urinary sphincters will need a variety of considerations, including the structural design of the device, manufacturing materials, manufacturing costs, and convenience. In addition, validation of the safety and effectiveness of the device and device management are equally important.ConclusionsThe design of an ideal magnetically controlled artificial urinary sphincter is of great importance to enhance patient treatment outcomes. However, there are still great challenges to be faced for the clinical application of such devices.
Lasting effects of a brief, scalable diabetes conversation map psychosocial intervention on health beliefs and health behaviors: A large randomized controlled trial in Taiwan
Authors: Huang Jiun‐Hau , Lo Hsiao‐Jung 
Published: April 2023

AbstractThe current study aimed to examine the effects of a conversation map (CM) psychosocial intervention on diet and exercise health beliefs and health behaviors among people with diabetes (PWD). Based on the Health Belief Model, this large‐scale randomized controlled trial (N = 615) investigated whether an added 1‐h theory‐driven CM intervention (N = 308), compared with usual shared‐care service only (N = 307), could significantly better improve PWD's diet and exercise health beliefs and health behaviors at 3‐month posttest. Multivariate linear autoregression analysis demonstrated that, controlling for baseline, the CM group had significantly better diet (β = .270) and exercise (β = .280) health behaviors at 3‐month posttest than the control group. The intervention effects on health behavior change were primarily mediated through desired changes in targeted health beliefs, as informed by the theory. For example, as regards diet, the CM group had significantly greater increases in perceived susceptibility (β = .121), perceived benefits (β = .174), and cues to action (β = .268), as well as greater decreases in perceived barriers (β = −.156), between pretest and 3‐month posttest. In conclusion, future diabetes care may integrate brief theory‐driven CM interventions, as in this study, into current shared‐care practice to help PWD improve diabetes self‐management health behaviors more effectively. Implications for practice, policy, theory, and research are discussed.
Explainability and white box in drug discovery
Authors: Kırboğa Kevser Kübra , Abbasi Sumra , Küçüksille Ecir Uğur 
Published: April 2023

AbstractRecently, artificial intelligence (AI) techniques have been increasingly used to overcome the challenges in drug discovery. Although traditional AI techniques generally have high accuracy rates, there may be difficulties in explaining the decision process and patterns. This can create difficulties in understanding and making sense of the outputs of algorithms used in drug discovery. Therefore, using explainable AI (XAI) techniques, the causes and consequences of the decision process are better understood. This can help further improve the drug discovery process and make the right decisions. To address this issue, Explainable Artificial Intelligence (XAI) emerged as a process and method that securely captures the results and outputs of machine learning (ML) and deep learning (DL) algorithms. Using techniques such as SHAP (SHApley Additive ExPlanations) and LIME (Locally Interpretable Model‐Independent Explanations) has made the drug targeting phase clearer and more understandable. XAI methods are expected to reduce time and cost in future computational drug discovery studies. This review provides a comprehensive overview of XAI‐based drug discovery and development prediction. XAI mechanisms to increase confidence in AI and modeling methods. The limitations and future directions of XAI in drug discovery are also discussed.
ROI Scissor: Interactive Segmentation of Feature Region of Interest in a Triangular Mesh
Authors: Moon Ji‐Hye , Ha Yujin , Park Sanghun , Kim Myung‐Soo , Yoon Seung‐Hyun 
Published: April 2023

AbstractWe present a simple and effective method for the interactive segmentation of feature regions in a triangular mesh. From the user‐specified radius and click position, the candidate region that contains the desired feature region is defined as geodesic disc on a triangle mesh. A concavity‐aware harmonic field is then computed on the candidate region using the appropriate boundary constraints. An initial isoline is chosen by evaluating the uniformly sampled ones on the harmonic field based on the gradient magnitude. A set of feature points on the initial isoline is selected and the anisotropic geodesics passing through them are then determined as the final segmentation boundary, which is smooth and locally shortest. The experimental results show several segmentation results for various 3D models, revealing the effectiveness of the proposed method.