bluuebunny/crossref_metadata_2025_split huggingface dataset:
Developing the OpenFlexure Microscope towards medical use: technical and social challenges of developing globally accessible hardware for healthcare
Authors: Knapper Joe , Whiteford Freya , Rosen Daniel , Wadsworth William , Stirling Julian , Mkindi Catherine , Mduda Joram , Sanga Valerian L. , Nyakyi Paul T. , Mboa Nkoudou Thomas Hervé , Jafsia Elisée , Fadanka Stephane , Hummel Kelsey , Anandasabapathy Sharmila , Bowman Richard 
Published: June 2024

The OpenFlexure Microscope is an accessible, three-dimensional-printed robotic microscope, with sufficient image quality to resolve diagnostic features including parasites and cancerous cells. As access to lab-grade microscopes is a major challenge in global healthcare, the OpenFlexure Microscope has been developed to be manufactured, maintained and used in remote environments, supporting point-of-care diagnosis. The steps taken in transforming the hardware and software from an academic prototype towards an accepted medical device include addressing technical and social challenges, and are key for any innovation targeting improved effectiveness in low-resource healthcare.
This article is part of the Theo Murphy meeting issue 'Open, reproducible hardware for microscopy'.
Cooperativity of weak actomyosin interaction
Authors: Naskar Aarushi , Johnson Alexis , Nesmelov Yuri E. 
Published: June 2024

AbstractWe report the discovery of a new regulatory mechanism of the actomyosin system in muscle. We show that the weak binding of the myosin-nucleotide complex with unregulated F-actin is a cooperative process. Hundreds of myosin heads must work together for efficient force production in muscle, but the precise mechanism by which they coordinate remains elusive. It is known that myosin initially binds actin weakly, then transitions into a strongly bound state to produce force. Using the contiguous cooperative binding model, we interpreted our experimental results in terms of a cooperativity parameter defined as an increased probability for a myosin head to bind to the actin filament next to the already bound head. Considering the geometric organization of a sarcomere, we propose the formation of cross-bridge clusters composed of up to six myosin heads bound consecutively to actin. The cooperativity of weak actomyosin interaction may explain several challenging questions in muscle physiology, such as the role of myosin isoforms in mixed-isoform hybrid muscles, or the yield of supramaximal rate of force production in decorated skinned muscle fibers.Significance StatementForce in striated muscle results from myosin interacting with actin. Initially, myosin attaches weakly to the thin filament, transitioning to a strongly bound state, generating force. Our experiments show high cooperativity in myosin’s weak interaction with unregulated actin filament. This cooperative behavior may facilitate the formation of cross-bridge clusters and the cooperative steps of myosin heads between clusters. Consequently, the thin- and thick-filament regulation could govern the spacing between cross-bridge clusters and influence the probability of a myosin head stepping along the thin filament during force development in muscle.
Clinical features of puff adder envenoming: case series ofBitis arietanssnakebites in Kenya and a review of the literature
Authors: Tianyi Frank-Leonel , Ngari Cecilia , Wilkinson Mark C. , Parkurito Stanley , Chebet Elizabeth , Mumo Evans , Trelfa Anna , Otundo Dennis , Crittenden Edouard , Kephah Geoffrey Maranga , Harrison Robert A , Stienstra Ymkje , Casewell Nicholas R , Lalloo David G , Oluoch George O 
Published: June 2024

AbstractIntroductionThe puff adder (Bitis arietans) is a medically important snake species found across much of Africa, yet there is a limited understanding of the clinical features and pathophysiology of envenoming after a puff adder bite.MethodsWe conducted a case-series study to describe the clinical features of patients with puff adder bites who were treated in two primary healthcare facilities in Kenya and complemented our case-series with a review of all published cases of puff adder envenoming that contained sufficient clinical details to highlight the major features.ResultsBetween December 2020 and September 2021, 15 patients were admitted with a suspected puff adder bite (based on the patient’s description of the biting snake or confirmed in patients who brought the dead snake or a picture of the biting snake for identification) at the Chemolingot and Mwingi sub-county hospitals in central Kenya. Common local and systemic features on admission included pain (n=15, 100%), swelling (n=14, 93%), and haemorrhage (n=9, 60%). Coagulopathy (n=2, 13%) and shock (n=1, 8%) were less common. In addition, we conducted a literature review and identified 23 studies with detailed descriptions of the clinical features of puff adder envenoming from 37 patients. Local features were common and consistent across cases - swelling (100%, n=37) and pain (95%, n=35). Systemic features were less consistent, with 10 (27%) patients exhibiting hypotension on admission, 10 (27%) patients reporting a fever, and 13 (35%) developing anaemia. Some complications were common in patients with bites by captive snakes (amputations), compared to patients with bites by wild snakes (hypotension). Snake identification was easier and more accurate after bites by captive snakes, but for patients bitten in community settings, identification was challenging and often less objective.ConclusionWe combined clinical cases and a literature review to describe the common and less common clinical features of puff adder envenoming. Further clinical research with serial laboratory assays of patients with definitively identified puff adder bites is crucial to further understand the pathophysiology of envenoming by this medially important snake species.
The relative importance of host phylogeny and dietary convergence in shaping the bacterial communities hosted by several Sonoran DesertDrosophilaspecies
Authors: DuBose James G. , Crook Thomas Blake , Matzkin Luciano M. , Haselkorn Tamara S. 
Published: June 2024

AbstractComplex eukaryotes vary greatly in the mode and extent that their evolutionary histories have been shaped by the microbial communities that they host. A general understanding of the evolutionary consequences of host-microbe symbioses requires that we understand the relative importance of host phylogenetic divergence and other ecological processes in shaping variation in host-associated microbial communities. To contribute to this understanding, we described the bacterial communities hosted by severalDrosophilaspecies native to the Sonoran Desert of North America. Our sampling consisted of four species that span multiple dietary shifts to cactophily, as well as the dietary generalistD. melanogaster, allowing us to partition the influences of host phylogeny and extant ecology. We found that bacterial communities were compositionally indistinguishable when considering incidence only but varied when considering the relative abundances of bacterial taxa. Variation in community composition was not explained by host phylogenetic divergence but could be partially explained by dietary variation. In support for an important role of diet as a source of ecological selection, we found that specialist cactophilicDrosophiladeviated more from neutral predictions than dietary generalists. Overall, our findings provide insight into the evolutionary and ecological factors that shape host-associated microbial communities in a natural context.
Assessing the Feasibility of Large Language Models to Identify Top Research Priorities in Enhanced External Counterpulsation
Authors: Gai Shengkun , Huang Fangwan , Liu Xuanyun , Benton Ryan G. , Borchert Glen M. , Huang Jingshan , Leng Xiuyu 
Published: June 2024

AbstractEnhanced External Counterpulsation (EECP), as a non-invasive, cost-effective, and efficient adjunctive circulatory technique, has found increasingly widespread applications in the cardiovascular field. Numerous basic research and clinical observations have extensively confirmed the significant advantages of EECP in promoting blood flow perfusion to vital organs such as the heart, brain, and kidneys. However, many potential mechanisms of EECP remain insufficiently validated, necessitating researchers to dedicate substantial time and effort to in-depth investigations. In this work, we attempted to use large language models (such as ChatGPT and Ernie Bot) to identify top research priorities in five key topics in the field of EECP: mechanisms, device improvements, cardiovascular applications, neurological applications, and other applications. After generating specific research priorities in each domain through language models, we invited a panel of nine experienced EECP experts to independently evaluate and score them based on four parameters: relevance, originality, clarity, and specificity. Notably, average and median scores for these evaluation parameters were high, indicating a strong endorsement from experts in the EECP field. Although further validation and refinement are required, this study preliminarily suggests that large language models like ChatGPT and Ernie Bot could serve as powerful tools for identifying and prioritizing research priorities in the EECP domain.
Assessing the impact of autologous neutralizing antibodies on rebound dynamics in postnatally SHIV-infected ART-treated infant rhesus macaques
Authors: Mainou Ellie , Berendam Stella J , Obregon-Perko Veronica , Uffman Emilie A , Phan Caroline T , Shaw George M , Bar Katharine J , Kumar Mithra R , Fray Emily J , Siliciano Janet M , Siliciano Robert F , Silvestri Guido , Permar Sallie R , Fouda Genevieve G , McCarthy Janice , Chahroudi Ann , Chan Cliburn , Conway Jessica M 
Published: June 2024

AbstractThe presence of antibodies against HIV in infected children is associated with a greater capacity to control viremia in the absence of therapy. While the benefits of early antiretroviral treatment (ART) in infants are well documented, early ART may interfere with the development of antibody responses. In contrast to adults, early treated children lack detectable HIV-specific antibodies, suggesting a fundamental difference in HIV pathogenesis. Despite this potential adverse effect, early ART may decrease the size of the latent reservoir established early in infection in infants, which can be beneficial in viral control. Understanding the virologic and immunologic aspects of pediatric HIV is crucial to inform innovative targeted strategies for treating children living with HIV. In this study, we investigate how ART initiation time sets the stage for trade-offs in the latent reservoir establishment and the development of humoral immunity and how these, in turn, affect post-treatment dynamics. We also elucidate the biological function of antibodies in pediatric HIV. We employ mathematical modeling coupled with experimental data from an infant nonhuman primate Simian/Human Immunodeficiency Virus (SHIV) infection model. Infant Rhesus macaques (RMs) were orally challenged with SHIV.C.CH505 375H dCT four weeks after birth and started treatment at different times after infection. In addition to viral load measurements, antibody responses and latent reservoir sizes were measured. We estimate model parameters by fitting viral load measurements to the standard HIV viral dynamics model within a nonlinear fixed effects framework. This approach allows us to capture differences between rhesus macaques (RMs) that develop antibody responses or exhibit high latent reservoir sizes compared to those that do not. We find that neutralizing antibody responses are associated with increased viral clearance and decreased viral infectivity but decreased death rate of infected cells. In addition, the presence of detectable latent reservoir is associated with less robust immune responses. These results demonstrate that both immune response and latent reservoir dynamics are needed to understand post-rebound dynamics and point to the necessity of a comprehensive approach in tailoring personalized medical interventions.
Epidemiological Trends and Economic Burden of Genital Warts in Dutch Primary Care
Authors: Veijer C , Bes J , Dolk C , Postma MJ , de Jong LA 
Published: June 2024

AbstractBackgroundThis study aims to describe the epidemiological trends and estimate the economic burden of genital warts (GW) in Dutch primary care.MethodsA retrospective, non-interventional, multiyear study (2011-2021) was performed using data from the Nivel Primary Care Database. Changes in incidence by age group, sex, and level of urbanisation of individuals with GW and associated healthcare resource use (general practitioner consultations, prescribed medication, and referrals) were estimated over the 11-year period. Total annual healthcare costs and cost per incident case were estimated via a bottom-up gross costing approach.ResultsBetween 2011 and 2021, GW incidence increased, which was especially seen in men (from 2.0 to 3.5 per 1 000 inhabitants) and to a lesser extent in women (from 1.9 to 2.1 per 1 000 inhabitants). GW incidence was most common in age group 20-29 years (men: 43.6%; women: 50.7%) and highly urbanised areas. Medication was prescribed in 61.4% of GW cases, and 5.4% of GW patients were referred to secondary care. Total costs in Dutch primary care increased by 108% from EUR 2.3 million in 2011 to EUR 4.9 million in 2021. The cost per incident case also showed an increasing trend from EUR 72 in 2011 to EUR 99 in 2021. Referrals to secondary care resulted in a 14-30% increase of total costs.ConclusionsThis study provides novel insights into recent epidemiological trends of GW and its associated costs in Dutch primary care. Incidence especially increased among men and total annual costs of GW in primary care doubled between 2011 and 2021.
Deep learning-based interpretable prediction of recurrence of diffuse large B-cell lymphoma
Authors: Naji Hussein , Pisula Juan I. , Ugliano Stefano , Simon Adrian , Büttner Reinhard , Bożek Katarzyna 
Published: June 2024

AbstractBackgroundThe heterogeneous and aggressive nature of diffuse large B-cell lymphoma (DLBCL) presents significant treatment challenges as up to 50% of patients experience recurrence of disease after chemotherapy. Upfront detection of recurring patients could offer alternative treatments. Deep learning has shown potential in predicting recurrence of various cancer types but suffers from lack of interpretability. Particularly in prediction of recurrence, an understanding of the model’s decision could eventually result in novel treatments.MethodsWe developed a deep learning-based pipeline to predict recurrence of DLBCL based on histological images of a publicly available cohort. We utilized attention-based classification to highlight areas within the images that were of high relevance for the model’s classification. Subsequently, we segmented the nuclei within these areas, calculated morphological features, and statistically analyzed them to find differences between recurred and non-recurred patients.ResultsWe achieved an f1 score of 0.83 indicating that our model can distinguish non-recurred from recurred patients. Additionally, we found that features that are the most predictive of recurrence include large and irregularly shaped tumor cell nuclei.DiscussionOur work underlines the value of histological images in predicting treatment outcomes and enhances our understanding of complex biological processes in aggressive, heterogeneous cancers like DLBCL.
Random singlet-like state in the dimer-based triangular antiferromagnet
Ba6Y2Rh2Ti2O17−δ
Authors: Lee Wonjun , Yoon Sungwon , Jeon Sungmin , Cai Yipeng , Kojima Kenji , Nguyen Loi T. , Cava R. J. , Choi Kwang-Yong , Lee Suheon 
Published: June 2024

We present the magnetic, thermodynamic, and muon spin relaxation (μSR) results of the dimer-based triangular antiferromagnet Ba6Y2Rh2Ti2O17−δ. The magnetic susceptibility data show the sub-Curie-Weiss behavior χ(T)∝T−αχ below 100 K, suggesting random magnetism. The isothermal magnetization results reveal the presence of weakly interacting structural orphan spins about 6.1% at 2 K, arising from the oxygen deficiency. The comprehensive μSR experiments exhibit the coexisting relaxing and nonrelaxing components along with the thermally activated behavior in the muon spin relaxation rate, reflecting the fluctuating orphan spins in the dimer singlet background. In addition, we observe the scaling behavior of M(H,T) in H/T and Pz(t) in t/HLF with the scaling exponents αχ=αM=0.75 and αμ=0.72, respectively, but not for the magnetic specific heat data. The failure of the scaling relation in Cm(H,T)/T implies low-energy excitations dressed by the conventional orphan spins. Based on these observations, we find that the magnetic ground state resembles random singlets and discuss the possible configurations of the spin dimer unit Rh2O9. Our results shed light on the role of quenched disorder in the dimer-based frustrated magnets.

Published by the American Physical Society
2024
Machine Learning for short-term property rental pricing based on seasonality and proximity to food establishments
Authors: Cervera Diego de Jaureguizar , de Esteban Curiel Javier , Pérez-Bustamante Yábar Diana C. 
Published: June 2024

PurposeShort-term rentals (STRs) (like Airbnb) are reshaping social behaviour, notably in gastronomy, altering how people dine while travelling. This study delves into revenue management, examining the impact of seasonality and dining options near guests’ Airbnb. Machine Learning analysis of Airbnb data suggests owners enhance revenue strategies by adjusting prices seasonally, taking nearby food amenities into account.Design/methodology/approach This study analysed 220 Airbnb establishments from Madrid, Spain, using consistent monthly price data from Seetransparent and environment variables from MapInfo GIS. The Machine Learning algorithm calculated average prices, determined seasonal prices, applied factor analysis to categorise months and used cluster analysis to identify tourism-dwelling typologies with similar seasonal behaviour, considering nearby supermarkets/restaurants by factors such as proximity and availability of food options.FindingsThe findings reveal seasonal variations in three groups, using Machine Learning to improve revenue management: Group 1 has strong autumn-winter patterns and fewer restaurants; Group 2 shows higher spring seasonality, likely catering to tourists, and has more restaurants, while Group 3 has year-round stability, fewer supermarkets and active shops, potentially affecting local restaurant dynamics. Food establishments in these groups may need to adapt their strategies accordingly to capitalise on these seasonal trends.Originality/value Current literature lacks information on how seasonality, rental housing and proximity to amenities are interconnected. The originality of this study is to fill this gap by enhancing the STR price predictive model through a Machine Learning study. By examining seasonal trends, rental housing dynamics, and the proximity of supermarkets and restaurants to STR properties, the research enhances our understanding and predictions of STR price fluctuations, particularly in relation to the availability and demand for food options.
Sustain or perish: how lean manufacturing practices predict the sustainable performance of manufacturing SMEs? A moderated mediation analysis
Authors: Al-Swidi Abdullah Kaid , Al-Hakimi Mohammed A. , Al-Hattami Hamood Mohammed 
Published: June 2024

Purpose
This paper aims to explore how lean manufacturing practices (LMPs) predict sustainable performance (SP) in the context of manufacturing small and medium-sized enterprises (SMEs) in less developed countries, like Yemen. In particular, it investigates the mediating effect of corporate social responsibility (CSR) under different levels of competitive intensity (CI).

Design/methodology/approach
Hierarchical regression analysis was used to analyze data gathered from a survey of 259 Yemeni manufacturing SMEs.

Findings
The findings confirm that LMPs affect CSR, which in turn affects SP. This study also confirms that LMPs have a positive indirect effect on SP through CSR, which diminished in the presence of CI.

Practical implications
This study provides useful insights for policymakers and firms’ managers, who are anticipated to show a higher commitment to CSR in their firms when adopting LMPs to enhance their firms’ SP, especially under a low level of CI.

Originality/value
This paper contributes to expanding knowledge on the effect of LMPs on SP through CSR constrained by the level of CI.
Experimental study on operating characteristics of rotor-bearing system lubricated by gallium-based liquid metal
Authors: Wei Chunjie , Chen Qi , Xu Jimin , Liu Xiaojun , Wang Wei 
Published: June 2024

Purpose
The purpose of this paper is to explore the operating characteristics of gallium-based liquid metals (GLMs) by directly adding them as lubricants in real mechanical equipment.

Design/methodology/approach
This paper conducts an analysis of the rotor-bearing system under GLM lubrication using a constructed test rig, focusing on vibration signals, surface characteristics of the friction pair, contact resistance and temperature rise features.

Findings
The study reveals that GLM can effectively improve the lubrication condition of the tribo-pair, leading to a more stable vibration signal in the system. Surface analysis demonstrates that GLM can protect the sample surface from wear, and phase separation occurs during the experimental process. Test results of contact resistance indicate that, in addition to enhancing the interfacial conductivity, GLM also generates a fluid dynamic pressure effect. The high thermal conductivity and anti-wear effects of GLM can reduce the temperature rise of the tribo-pair, but precautions should be taken to prevent oxidation and the loss of its fluidity.

Originality/value
The overall operating characteristics of the rotor-bearing system under GLM lubrication were investigated to provide new ideas for the lubrication of the rotor-bearing system.

Peer review
The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-03-2024-0067/
How do oilcloth sessions work? A realist evaluation approach to exploring ripple effects in an implementation strategy
Authors: Kirk Jeanette Wassar , Stefansdottir Nina Thorny , Andersen Ove , Lindstroem Mette Bendtz , Powell Byron , Nilsen Per , Tjørnhøj-Thomsen Tine , Broholm-Jørgensen Marie 
Published: June 2024

PurposeTo explore the mechanisms of the implementation strategy, “oilcloth sessions” and understand and explain the ripple effects of oilcloth sessions as a strategy to implement a new emergency department.Design/methodology/approachA qualitative design was used whereby data were collected using field notes from an ethnographic study of the oilcloth sessions and follow-up semi-structured interviews with staff, managers and key employees who participated in the oilcloth sessions. The data analysis was inspired by the realist evaluation approach of generative causality proposed by Pawson and Tilley.FindingsThe primary ripple effect was that the oilcloth sessions were used for different purposes than the proposed program theory, including being used as: (1) a stage, (2) a battlefield, (3) a space for imagination and (4) a strategic management tool influencing the implementation outcomes. The results bring essential knowledge that may help to explain why and how a well-defined implementation strategy has unplanned outcomes.Originality/valueUnintended outcomes of implementation strategies are an underexplored issue. This study may help implementation researchers rethink the activities required to reduce unintended negative outcomes or explore potential unplanned outcomes and, in this way, hinder or enhance outcomes, effectiveness and sustainability. Future studies within implementation research should incorporate attention to unintended outcomes to fully understand the impact of implementation strategies.