bluuebunny/crossref_metadata_2025_split huggingface dataset:
A high content imaging assay for identification of specific inhibitors of nativePlasmodiumliver stage protein synthesis
Authors: McLellan James L. , Morales-Hernandez Beatriz , Saeger Sarah , Hanson Kirsten K. 
Published: May 2024

ABSTRACTPlasmodiumparasite resistance to antimalarial drugs is a serious threat to public health in malaria-endemic areas. Compounds that target core cellular processes like translation are highly desirable, as they should be multistage actives, capable of killing parasites in the liver and blood, regardless of molecular target or mechanism. Assays that can identify these compounds are thus needed. Recently, specific quantification of nativePlasmodium bergheiliver stage protein synthesis as well as that of the hepatoma cells supporting parasite growth, was achieved via automated confocal feedback microscopy of the o-propargyl puromycin (OPP)-labeled nascent proteome, but this imaging modality is limited in throughput. Here, we developed and validated a miniaturized high content imaging (HCI) version of the OPP assay that increases throughput, before deploying this approach to screen the Pathogen Box. We identified only two hits, both of which are parasite-specific quinoline-4-carboxamides, and analogues of the clinical candidate and known inhibitor of blood and liver stage protein synthesis, DDD107498/cabamiquine. We further show that these compounds have strikingly distinct relationships between their antiplasmodial and translation inhibition efficacies. These results demonstrate the utility and reliability of theP. bergheiliver stage OPP HCI assay for specific, single-well quantification ofPlasmodiumand human protein synthesis in the native cellular context, allowing identification of selectivePlasmodiumtranslation inhibitors with the highest potential for multistage activity.
Activation of Heme Metabolism Promotes Tissue Health After Intraarticular Injury or Surgical Exposure
Authors: Liman Suryamin , Gomez-Contreras Piedad C. , Hines Madeline R. , Witt Emily , Fisher Jacob S. , Lu Kevin J. , McNally Lauren D. , Cotoia Alicia T. , Sakyi Maxwell Y. , Wagner Brett A. , Tift Michael S. , Goetz Jessica E. , Byrne James D. , Coleman Mitchell C. 
Published: May 2024

AbstractPosttraumatic osteoarthritis (PTOA) is a well-recognized public health burden without any disease modifying treatment. This occurs despite noted advances in surgical care in the past 50 years. Mitochondrial oxidative damage pathways initiate PTOA after severe injuries like intraarticular fracture that often require surgery and contribute to PTOA after less severe injuries that may or may not require surgery like meniscal injuries. When considering the mitochondrial and redox environment of the injured joint, we hypothesized that activation of heme metabolism, previously associated with healing in many settings, would cause prototypic mitochondrial reprogramming effects in cartilage ideally suited for use at the time of injury repair. Activation of heme metabolism can be accomplished through the gasotransmitter carbon monoxide (CO), which activates hemeoxygenase-1 (HO1) and subsequent heme metabolism. In this study, we employed unique carbon monoxide (CO)-containing foam (COF) to stimulate heme metabolism and restore chondrocyte oxygen metabolismin vitroandin vivo. Doxycycline-inducible, chondrocyte-specific HO1 overexpressing transgenic mice show similar mitochondrial reprogramming after induction compared to COF. CO is retained at least 24 h after COF injection into stifle joints and induces sustained increases in heme metabolism. Lastly, intraarticular injection of COF causes key redox outcomes without any adverse safety outcomes in rabbit stifle jointsex vivoandin vivo. We propose that activation of heme metabolism is an ideal adjuvant to trauma care that replenishes chondrocyte mitochondrial metabolism and restores redox homeostasis.
Factors shaping the assembly of lichen holobionts in a tropical lichen community
Authors: Kosecka Magdalena , Bourceret Amélia , Perez-Lamarque Benoît , Guzow-Krzemińska Beata , Kukwa Martin , Flakus Adam , Rodriguez-Flakus Pamela , Selosse Marc-André 
Published: May 2024

AbstractLichen thalli host complex microbial communities, which may foster the ecological stability and longevity of the lichen symbiosis. Yet, we lack a holistic understanding of the processes contributing to the assembly of the lichen holobiont. This study assessed the diversity and community structure in taxonomically diverse co-occurring lichens associated with Trebouxiophyceae algae from Bolivian forests. We focused on three components of the lichen holobiont: the lichenized fungus (mycobiont) and its associated algae (photobiome) and fungi (mycobiome). We specifically tested the influence of mycobiont identity, thallus morphological type, reproductive strategy, and lichen secondary metabolites on the lichen-associated photobiome and mycobiome. To understand the specialization patterns between holobiont components, we investigated interaction networks.We observed that co-occurring mycobiont taxa host diverse, taxon-specific, yet overlapping photobiome and mycobiome. In particular, these communities are significantly influenced by the host’s thallus morphological type and its secondary metabolites. Finally, we demonstrated that both photobiome and mycobiome are structured mainly by mycobiont identity, which results in modular networks with strong phylogenetic signals and high levels of specialization. In conclusion, the symbiotic interactions within lichen are structured mainly by the mycobiont, which appears to be the leading architect of the lichen holobiont.
Single Cell Transcriptome Defines Cell Type Repertoire of AdultDaphnia magna
Authors: Krishnan Indira , Yampolsky Lev Y , Petrova Kseniya , Peshkin Leonid 
Published: May 2024

AbstractDetailed knowledge of transcriptional responses to environmental and developmental cues is impossible without single cell (SC) resolution data. We performed two SC RNAseq experiments surveying transcriptional profiles of females and males ofD. magna, a freshwater plankton crustaceanwhichis both a classic and emerging new model for eco-physiology, toxicology, and evolutionary genomics. We were able to identify over 30 distinct cell types about half of which could be functionally annotated. First, we identified ovaries- and testis-related cell types by focusing on female- and male-specific clusters. Second, we compared markers between SC clusters and bulk RNAseq data on transcriptional profiles of early embryos, circulating hemocytes, midgut, heads (containing brain, eyes, muscles and hepatic caeca), antennae II, and carapace. Finally, we compared transcriptional profiles of Daphnia cell clusters with orthologous markers of 250+ cell types annotated in Drosophila cell atlas. This allowed us to recognize striated muscle cells, gut enterocytes, cuticular cells, as well as 5 different neuron types, including photoreceptors and 3 ovaries-related clusters, one of which tentatively identified as the germ line cells. One well-defined cluster showed a significant enrichment in markers of both hemocytes and fat body ofDrosophila, but not with bulk RNAseq data from circulating hemocytes, allowing us to hypothesize the existence of non-circulating, fat body-associated population of hemocytes inDaphnia. On the other hand, the circulating hemocytes express numerous cuticular proteins suggesting their role, in addition to macrophagy, in wound repair. At the same time numerous cell types remain unidentified, including those that map to FCA groups ambiguously or are characterized byDaphnia-specific markers with no clear orthology in the fruitfly. Likewise, many known or presumed cell types or tissues inDaphniahave not been identified to SC clusters. A detailed in-situ hybridization study would be necessary to match not yet annotated SC clusters to functional cell groups.HighlightsFirst single-cell transcriptomic atlas forDaphnia magna, identifies > 30 distinct cell types.Novel cell type representing circulating hemocytes may play a role in cuticle regeneration.Evidence for non-circulating hemocyte-like cells associated with the fat body in Daphnia.Cuticle/epithelial cells expressing photoreceptors, suggesting light-sensing capabilities.Subfunctionalization of divergent paralogs across cell types for ecological versatility.
Accounting for quantum effects in atomistic spin dynamics
Authors: Berritta M. , Scali S. , Cerisola F. , Anders J. 
Published: May 2024

Atomistic spin dynamics (ASD) is a standard tool to model the magnetization dynamics of a variety of materials. The fundamental dynamical model underlying ASD is entirely classical. In this paper, we present two approaches to effectively incorporate quantum effects into ASD simulations, thus enhancing their low-temperature predictions. The first allows to simulate the magnetic behavior of a quantum spin system by solving the equations of motion of a classical spin system at an effective temperature relative to the critical temperature. This effective temperature is determined from the microscopic properties of the system. The second approach is based on a semiclassical model where classical spins interact with an environment with a quantumlike power spectrum. The parameters that characterize this model can be calculated or extracted from experiments. This semiclassical model quantitatively reproduces the absolute temperature behavior of a magnetic system, thus accounting for the quantum mechanical aspects of its dynamics, even at low temperature. The methods presented here can be readily implemented in current ASD simulations with no additional complexity cost.

Published by the American Physical Society
2024
Impact of ownership concentration on stock returns: a case of developed economies
Authors: Ali Asif , Masood Omar 
Published: May 2024

PurposeThe primary objective of this study is to determine how concentrated ownership affects stock returns by country and scale (by market capitalization), like large, medium, and small-cap firms in selected developed economies of the world.Design/methodology/approachUsing a dataset comprising 12,751 annual observations from 850 listed companies from developed economies from 2004 to 2018, the study employs panel data models and instrumental variable estimation to mitigate endogeneity bias.FindingsThe findings reveal a significant and positive correlation between ownership concentration and expected returns on corporate equities in developed economies. Furthermore, the study categorizes firms into distinct size categories and finds nuanced differences in the relationship between ownership concentration and stock returns across large, medium, and small-cap enterprises. The results of the study reveal that ownership concentration (by country) and scale (Large, medium, and small) have a significant and positive impact on the stock returns of firms in developed economies.Practical implicationsthe practical implications of this study extend to investors, firms, policymakers, regulators, and other stakeholders involved in the financial markets. By considering these implications, stakeholders can make informed decisions to enhance market efficiency, investor protection, and overall market integrity.Originality/valueTo the authors' understanding, this study is the first to examine the impact of concentrated ownership on excessive stock returns across countries and scales, with an explicit focus on large, medium, and small companies in select developed economies worldwide.
Leveraging digital transformation on the path to sustainable development: the role of excellence models
Authors: Morgado Oliveira Joana , F. Gomes Carlos 
Published: May 2024

PurposeThis study explores how excellence models can leverage digital transformation on the path to sustainable development in organisations.Design/methodology/approachA survey was used to study the different facets of digital capabilities and their impact on sustainable development success of organisations holding an external recognition from the European Foundation for Quality Management (EFQM). Partial Least Squares structural equation modelling (PLS-SEM) combined with Necessary Condition Analysis (NCA) were used to analyse data.FindingsInternalising excellence practices is decisive in mediating effective digital capabilities to achieve sustainable development. To achieve high levels of sustainable development success, organisations must achieve high levels of excellence practices internalisation, which are much more important than the excellence model external recognition.Research limitations/implicationsThis study addresses essential issues with theoretical and practical value but is limited to a sample of organisations with EFQM recognition in two countries. Future studies should address different organisations and cultural environments.Practical implicationsThe findings are relevant for organisations facing digital transformation and sustainable development challenges. They are essential for managers leveraging digital capabilities to capitalise on practices and processes and achieve Sustainable Development Goals. Organisations can benefit from a multidimensional approach to digital capabilities when struggling against external challenges.Originality/valueThis study closes a research gap regarding the impact of digital capabilities on sustainable development success. It is the first empirical study to combine sufficiency and necessity conditions analyses to explore the mediating role of excellence practices internalisation and one of the first to address digital capabilities from a multidimensional perspective.
Macroeconomic shocks, market uncertainty and speculative bubbles: a decomposition-based predictive model of Indian stock markets
Authors: Ghosh Indranil , Chaudhuri Tamal Datta , Sarkar Sunita , Mukhopadhyay Somnath , Roy Anol 
Published: May 2024

PurposeStock markets are essential for households for wealth creation and for firms for raising financial resources for capacity expansion and growth. Market participants, therefore, need an understanding of stock price movements. Stock market indices and individual stock prices reflect the macroeconomic environment and are subject to external and internal shocks. It is important to disentangle the impact of macroeconomic shocks, market uncertainty and speculative elements and examine them separately for prediction. To aid households, firms and policymakers, the paper proposes a granular decomposition-based prediction framework for different time periods in India, characterized by different market states with varying degrees of uncertainty.Design/methodology/approachEnsemble empirical mode decomposition (EEMD) and fuzzy-C-means (FCM) clustering algorithms are used to decompose stock prices into short, medium and long-run components. Multiverse optimization (MVO) is used to combine extreme gradient boosting regression (XGBR), Facebook Prophet and support vector regression (SVR) for forecasting. Application of explainable artificial intelligence (XAI) helps identify feature contributions.FindingsWe find that historic volatility, expected market uncertainty, oscillators and macroeconomic variables explain different components of stock prices and their impact varies with the industry and the market state. The proposed framework yields efficient predictions even during the COVID-19 pandemic and the Russia–Ukraine war period. Efficiency measures indicate the robustness of the approach. Findings suggest that large-cap stocks are relatively more predictable.Research limitations/implicationsThe paper is on Indian stock markets. Future work will extend it to other stock markets and other financial products.Practical implicationsThe proposed methodology will be of practical use for traders, fund managers and financial advisors. Policymakers may find it useful for assessing the impact of macroeconomic shocks and reducing market volatility.Originality/valueDevelopment of a granular decomposition-based forecasting framework and separating the effects of explanatory variables in different time scales and macroeconomic periods.
The paradox of attraction: unveiling the dynamics of tourist motivation and impact perception at a dark heritage site through mixed-method approach
Authors: Dandotiya Ravi , Aggarwal Arun , Sharma Ishani 
Published: May 2024

Purpose
The purpose of this study is to examine the relationships between tourists’ motivations, perception of tourism impacts, place attachment (PA) and loyalty toward Jallianwala Bagh, a dark heritage site in Punjab, India.

Design/methodology/approach
A mixed-method approach comprising qualitative and quantitative methods was used. Semi-structured interviews and the Delphi method helped generate a 34-item survey instrument. A sample size of 869 respondents was obtained, split into two subsets for exploratory factor analysis and confirmatory factor analysis.

Findings
Seven out of nine hypotheses were supported. Motivated tourists perceived higher positive tourism impacts but lower negative tourism impacts. Higher perceptions of positive tourism impacts increased both PA and loyalty to the destination. Surprisingly, the perception of negative tourism impacts did not significantly affect tourist loyalty, contrary to some previous research.

Practical implications
This study informs stakeholders about tourists’ cognitive and affective responses at a dark tourism site, aiding in the planning and development of sustainable tourism strategies.

Social implications
By understanding the tourists’ motivations and perceptions, stakeholders can manage tourism impacts more effectively, ensuring that tourists’ experiences align with sustainable practices.

Originality/value
This study enriches the understanding of the tourists’ complex interactions with dark heritage sites. It introduces a new angle by examining how motivations, PA and perceptions of tourism impacts influence tourist loyalty, especially in the context of dark tourism.
Triadic relationship of remittances, migration and labor force
Authors: Zhushi Genc , Qehaja Driton 
Published: May 2024

Purpose
This study aims to investigate the relationship between Kosovo remittances, migration and labor force participation and seeks to uncover how migration and remittances, often considered separately, interact to shape labor market outcomes across gender, age and education groups.

Design/methodology/approach
To analyze the relationship between remittances, migration and labor force participation, this study leverages multivariate probit (mvprobit) to rectify the endogeneity issue intrinsic from remittances and migration. Utilizing this robust methodological approach allows us to circumvent the limitations traditionally associated with biprobit analysis. The research is grounded in empirical evidence from the Millennium Century Corporation survey in Kosovo.

Findings
The findings indicate that remittances and migration are pivotal determinants in shaping the contours of labor force participation, particularly influencing disparities across gender, age and educational attainment. Further, this study unearthed intriguing evidence suggesting the disincentivizing effect of remittances on labor force participation, alongside the potentially disruptive influence of prospective migration plans.

Originality/value
The novelty of this work lies not only in the context-specific insights it provides into the socio-economic fabric of Kosovo—an area that has hitherto received limited scholarly attention—but also in its methodological innovation. The simultaneous application of mvprobit technique provides a nuanced approach to tackle the inherent endogeneity issue, thereby pushing the methodological frontiers of the field.
Lesson studies in physical education – a scoping narrative
Authors: Marques Santinha Fernanda , Onofre Marcos , Martins Maria 
Published: May 2024

PurposeLesson studies, a methodology originally developed in Japan, has been used in an increasing number of contexts, both in relation to initial teacher training and in the context of ongoing professional development. However, the research reported on the use of lesson studies in the training of physical education teachers is very limited. The aim of this review is to identify and analyze published studies on physical education lesson studies and to describe the advantages of using the methodology in the context of this discipline.Design/methodology/approachExploratory searches were carried out in four multiple-search databases, and 14 publications were found. Information was collected about authors, year of publication, origin and type of study, purposes, concept of the lesson study, methodology and results.FindingsThe results of the different studies point in the same direction – potential of lesson studies in physical education in initial training and professional development; valuing collaborative work, contextualization and continuous nature; lesson studies as a significant experience; need to create conditions for teachers’ participation in lesson studies; need for further investigation.Originality/valueThe research reported on the use of lesson studies in the training of physical education teachers is very limited. This review is intended to cover all studies related to the theme of physical education lesson studies published in indexed journals.
Viewpoint: on the required level of consciousness for authentic allyship
Authors: Goltz Sonia 
Published: May 2024

PurposeIn this JOCM Viewpoint article, the author reflects on the expectations of some minoritized group members that power holders and otherwise privileged group members should exhibit authentic allyship. Specifically, it is suggested that these expectations are unrealistic given both the challenges of being an ally and the absence in many power holders of the type of consciousness that enables effective allyship.Design/methodology/approachAn analysis of the challenges inherent in allyship as well as the criticism that performative rather than authentic allyship frequently occurs is followed by a review of research on consciousness and the implications of the level of consciousness for generating effective ally behavior.FindingsDifferent stages of consciousness generate different types of responses to the challenges of allyship, some being more effective than others. Reaching a certain stage of consciousness development may increase the likelihood that the ally will be able to hold space for the emotional well-being of the marginalized and the need for instrumental change, which are both necessary for effective allyship to occur. Without these, an individual’s allyship is likely to be absent or at the most performative. Allyship groups can be helpful in supporting this level of consciousness through their group norms.Originality/valueThis viewpoint challenges conventional assumptions that privileged members of society should engage in allyship and suggests only a subset will be able to make the commitment and exhibit the behaviors required of authentic allies.