bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Quantitative Assessment of Wound Healing With Oxygenated Micro/Nanobubbles in a Preclinical Burn Model
Authors: Sayadi Lohrasb R. , Rowland Rebecca , Naides Alexandra , Tomlinson Luke , Ponticorvo Adrien , Durkin Anthony J. , Widgerow Alan D. 
Published: September 2021

Background
Burns are devastating injuries, carry significant morbidity, and require long-term treatment or multiple reconstructive procedures. Wound healing and secondary insults caused by burn wound conversion are amendable to therapeutic intervention, where ischemia has been cited as one of the major factors (Dermatol Surg. 2008;34:1159–1169). Halting injury progression in the zone of stasis is crucial as conversion creates increased burn surface area and depth, leading to local and systemic consequences (J Burns Wounds. 2006;5:e2). Oxygen-carrying micro/nanobubbles, MNB(O2), offer a novel technology that can be used to effectively deliver oxygen to burn wounds and potentially counteract burn wound ischemia.

Methods
Topical irrigation with MNB(O2) of full-thickness burn wounds on a rodent model (n = 3) was compared against saline-treated controls (n = 3). Tissue structure (reduced scattering coefficient, μs'), oxyhemoglobin concentration (cHbO2), and tissue perfusion were quantified over the course of 28 days through spatial frequency domain imaging and laser speckle imaging. Histological samples taken at the end of the experiment were examined for evidence of wound healing.

Results
Findings in this preliminary study showed hastened healing with significant differences in spatial frequency domain imaging–measured μs' during wound healing (days 11–28) in MNB(O2) group. The healing “tipping point” seemed to occur at days 9 to 11 with increased collagen organization and increased cHbO2 occurring around that period confirming the gross healing improvements observed. In addition, histological evidence indicated that only the MNB(O2) burns had reached the remodeling phase by the end of 28-day study period.

Conclusions
These preliminary findings propose the potential of MNB(O2) as a topical method for improving burn wound healing.
Machine Learning Prediction of Liver Allograft Utilization From Deceased Organ Donors Using the National Donor Management Goals Registry
Authors: Bishara Andrew M. , Lituiev Dmytro S. , Adelmann Dieter , Kothari Rishi P. , Malinoski Darren J. , Nudel Jacob D. , Sally Mitchell B. , Hirose Ryutaro , Hadley Dexter D. , Niemann Claus U. 
Published: September 2021

Background.
Early prediction of whether a liver allograft will be utilized for transplantation may allow better resource deployment during donor management and improve organ allocation. The national donor management goals (DMG) registry contains critical care data collected during donor management. We developed a machine learning model to predict transplantation of a liver graft based on data from the DMG registry.

Methods.
Several machine learning classifiers were trained to predict transplantation of a liver graft. We utilized 127 variables available in the DMG dataset. We included data from potential deceased organ donors between April 2012 and January 2019. The outcome was defined as liver recovery for transplantation in the operating room. The prediction was made based on data available 12–18 h after the time of authorization for transplantation. The data were randomly separated into training (60%), validation (20%), and test sets (20%). We compared the performance of our models to the Liver Discard Risk Index.

Results.
Of 13 629 donors in the dataset, 9255 (68%) livers were recovered and transplanted, 1519 recovered but used for research or discarded, 2855 were not recovered. The optimized gradient boosting machine classifier achieved an area under the curve of the receiver operator characteristic of 0.84 on the test set, outperforming all other classifiers.

Conclusions.
This model predicts successful liver recovery for transplantation in the operating room, using data available early during donor management. It performs favorably when compared to existing models. It may provide real-time decision support during organ donor management and transplant logistics.
Targeting Bruton's tyrosine kinase in primary central nervous system lymphoma
Authors: Steffanoni Sara , Batchelor Tracy T. 
Published: September 2021

Purpose of review
We review the preclinical and clinical experience with first and subsequent generation Bruton's tyrosine kinase inhibitors in B-cell lymphoproliferative diseases, highlighting the rationale for their clinical use in primary central nervous system diffuse large B-cell lymphoma (PCNSL).

Recent findings
Growing knowledge on the molecular and genetic profile of PCNSL has provided the basis for new drug development targeting aberrantly activated oncogenic signal transduction pathways. PCNSL exhibits frequent genetic alterations of components of the B-cell and Toll-like receptor signalling pathways. On the basis of these discoveries and the limited efficacy obtained with chemotherapy in refractory and relapsed PCNSL, activity of new targeted agents, such as Bruton's tyrosine kinase inhibitors, has been explored with promising results.

Summary
Innovative therapeutic strategies, applied in first line, have contributed to improved outcomes in patients with PCNSL, making this disease potentially curable in young and fit patients. However, response to induction therapies remains suboptimal and the best consolidative therapy has yet to be defined. In this regard, given the activity of Bruton's tyrosine kinase inhibitors in the refractory and relapsed PCNSL setting, these agents are currently being explored as part of combination regimens for induction therapy of newly diagnosed PCNSL.
Depression, anxiety, and chronic fatigue symptoms in acute rheumatoid arthritis are associated with immune-inflammatory, autoimmune, endogenous opioid system and lactosylceramide signaling pathways: a nomothetic network approach
Authors: Smesam Hasan Najah , Qazmooz Hasan Abbas , Khayoon Sinan Qayes , Al-Hakeim Hussein Kadhem , Maes Michael 
Published: September 2021

AbstractBackgroundRheumatoid arthritis (RA) is a chronic inflammatory and autoimmune disorder which affects the joints in the wrists, fingers, and knees. RA is often associated with depressive and anxiety symptoms as well as chronic fatigue syndrome (CFS)-like symptoms.AimTo examine the association between depressive symptoms (measured with the Beck Depression Inventory, BDI), anxiety (Hamilton Anxiety Rating Scale, HAMA), and CFS-like (Fibro-fatigue Scale) symptoms and immune-inflammatory, autoimmune, and endogenous opioid system (EOS) markers, and lactosylceramide in RA.MethodsSerum biomarkers were assayed in RA patients with (n=59) and without (n=59) increased psychopathology (PP) and 50 healthy controls.ResultsThere were highly significant correlations between the BDI, FF, and HAMA scores and severity of RA, as assessed with the DAS28-4, clinical and disease activity indices, the number of tenders and swollen joints, and patient and evaluator global assessment scores. A common latent vector (reflective model) could be extracted from the PP and RA-severity scales, which showed excellent psychometric properties. Partial least squares analysis showed that 69.7% of the variance in this common core underpinning PP and RA symptoms could be explained by the regression on immune-inflammatory pathways, rheumatoid factor and anti-citrullinated protein antibodies, CD17, and mu-opioid receptor levels.ConclusionsDepression, anxiety, and CFS-like symptoms due to RA are reflective manifestations of the phenome of RA and are mediated via the effects of the same immune-inflammatory, autoimmune, and EOS pathways and lactosylceramide that underpin the pathophysiology of RA. These PP symptoms are clinical manifestations of the pathophysiology of RA.
Visualization of bacterial type 3 secretion system components down to the molecular level by MINFLUX nanoscopy
Authors: Carsten Alexander , Rudolph Maren , Weihs Tobias , Schmidt Roman , Wurm Christian A. , Diepold Andreas , Failla Antonio Virgilio , Wolters Manuel , Aepfelbacher Martin 
Published: September 2021

AbstractType 3 secretion systems (T3SS) are essential virulence factors of numerous bacterial pathogens and inject effector proteins into host cells. The needle-like T3SS machinery consists of more than 20 components, has a length of around 100 nm and a diameter of up to 30 nm according to EM studies. Its intrabacterial components are highly dynamic and in permanent exchange with other bacterial structures. Therefore, a temporally and spatially resolved visualization of the T3SS using fluorescence microscopy techniques has been challenging. In the present study, novel labeling strategies were combined with super-resolution microscopy such as STED, STORM and MINFLUX. MINFLUX nanoscopy allowed to visualize components of the T3SS machinery such as the dynamic sorting platform component YscL and the extrabacterial pore protein YopD at unprecedented resolutions. The presented results represent the basis for an in depth investigation of T3SS structure and function and therefore gain new insights into the infection process of human pathogens in order to develop novel treatment and prevention strategies.
Brittle fracture on plates governed by topological derivatives
Authors: Xavier Marcel , Van Goethem Nicolas 
Published: September 2021

PurposeIn the paper an approach for crack nucleation and propagation phenomena in brittle plate structures is presented.Design/methodology/approachThe Francfort–Marigo damage theory is adapted to the Kirchhoff and Reissner–Mindlin plate bending models. Then, the topological derivative method is used to minimize the associated Francfort–Marigo shape functional. In particular, the whole damaging process is governed by a threshold approach based on the topological derivative field, leading to a notable simple algorithm.FindingsNumerical simulations are driven in order to verify the applicability of the proposed method in the context of brittle fracture modeling on plates. The obtained results reveal the capability of the method to determine nucleation and propagation including bifurcation of multiple cracks with a minimal number of user-defined algorithmic parameters.Originality/valueThis is the first work concerning brittle fracture modeling of plate structures based on the topological derivative method.
Ichalkaranji: India’s Manchester needs to weave magic
Authors: Krishna Malay , Sivaraman Vasant 
Published: September 2021

Supplementary materials
The case includes links to video clips on textile and apparel manufacture to familiarize students with the textile manufacturing process. The case also provides links to audio and video clips of the case protagonist discussing the strengths and weaknesses of the cluster at IK.

Learning outcomes
The case offers opportunities for the learner to analyze the situation from three cases as follows: industry, cluster (broadly location) and firm. Specific teaching objectives are as follows: How to identify and analyze the drivers of competitiveness of a cluster. Assess the strength of clusters using Porter’s Diamond framework. Map the linkages between players of a cluster as follows: across firms, industries and public organizations. Benchmark and compare clusters to identify opportunities for upgrading competitiveness.

Case overview/synopsis
The case describes the challenge facing Mr Nikunj Bagdia, the owner and chief executive of Ken Enterprises Private Limited (Ken), a textile manufacturing unit located in the town of Ichalkaranji (IK), in October of 2019. IK boasts the largest number of cutting-edge air-jet looms in India and Ken is IK’s largest exporter of woven textile fabrics. However, IK lags the textile and apparel manufacturing cluster of Tiruppur, in another region of the country. The case enables a microeconomic analysis of the business environment of industrial clusters and a cluster mapping exercise, which helps identify opportunities for enhancing IK’s textile cluster. As the case closes, Nikunj is trying to prioritize opportunities that could emerge from the analyzes.

Complexity academic level
Masters/MBA level courses on competitiveness, strategy for economic development and microeconomics of competitiveness.

Subject Code
CSS 11: Strategy.
Multiteam systems as integrated networks for engaging ambidexterity as dynamic capabilities
Authors: Dean Benjamin P. 
Published: September 2021

PurposeThis inquiry aims to determine the features and mechanisms that specially enable a multiteam system (MTS) to develop ambidexterity that can deal effectively with rapid changes in dynamic environments. The MTS is an emerging organizational unit comprised of tightly integrated networks of teams that may originate from one or more firms. The inquiry also considered how an MTS can engage those features and mechanisms to maximize ambidexterity as dynamic capabilities for increased innovation and long-term adaptation under complex, volatile conditions.Design/methodology/approachThis conceptual inquiry integrates the emerging research on MTSs with theory and studies relating to ambidexterity and dynamic capabilities. This inquiry focuses on the attributes and linkages that specially characterize an MTS. It analyzes these to determine the key mechanisms and interactions enabling and engaging ambidexterity at MTS unit level.FindingsMTSs can engage powerful mechanisms for ambidexterity functioning as dynamic capabilities at meso-organizational level. The attributes and linkages that distinguish an MTS from other units enable it to deal effectively and efficiently with near-term task demands by simultaneously balancing the essential tasks of exploration and exploitation, and by being able to rapidly adapt by reconfiguring taskwork and reallocating resources as required for sustainable innovation and long-term success within a dynamic environment.Practical implicationsThis inquiry provides valuable insights for designing MTSs that are equipped with selected teams, flexible memberships, specialized skills and permeable interfaces. Autonomy for an MTS allows the unit to span internal and external organizational boundaries to gain access to new discoveries and to exchange information and material resources for increased innovation. Ambidexterity as dynamic capabilities facilitates exploitation of current resources by efficiently reconfiguring taskwork and reallocating materials for adaptation and competitive advantage.Originality/valueThis inquiry appears to represent the most integrative effort to examine the underexplored potential of MTSs for developing and engaging ambidexterity functioning as dynamic capabilities. The inquiry appears to be a first effort at articulating a concept of MTS ambidexterity distinct from organizational ambidexterity. The analysis synthesizes a systems model that guides organizational leaders and opens new opportunities for future research.
How do social responsibility and social entrepreneurship generate value creation in pandemics?
Authors: Silva Rui , Rodrigues Margarida , Franco Mário , Oliveira Cidália , Sousa Nuno 
Published: September 2021

Purpose
Using self-determination theory and individual social responsibility’s (ISRs) association with pure social entrepreneurship, this study aims to answer the following question: How and why have the different actors responded to the crisis caused by the pandemic?

Design/methodology/approach
Qualitative research (multiple case studies) was adopted, resorting to interviewees with seven economic and non-economic actors in the Portugal context.

Findings
The results obtained, using MAXQDA software, show that those carrying out actions of social responsibility have a high degree of self-determination and intrinsic motivation, and are true social entrepreneurs, which lets them improve the well-being of those around them. In addition, these individuals feel good about themselves by performing these actions, as they measure their performance by the social impact of their actions on society in general.

Practical implications
This study suggest there is a high awareness amongst people to exercise that responsibility in a voluntary way, through humanitarian initiatives and campaigns brought about especially by an unprecedented pandemic. In practice, people joining these initiatives motivate many others towards the causes, creating the will to continue in the future and satisfy unmet needs provoked by social crises.

Originality/value
This study is innovative because it is related to filling the gaps identified, mainly by carrying out an empirical study about ISR, rather than that of firms, where studies are more common.
Islamic mortgage adoption: examining the moderating effects of Islamic altruism
Authors: Sayuti Khadijah M. , Amin Hanudin 
Published: September 2021

PurposeUsing the theory of planned behaviour (TPB) as an analytical framework, this paper aims to investigate the direct effects of attitude, subjective norm, perceived behavioural control, price fairness and Islamic altruism. It also explores how these path linkages can be moderated by Islamic altruism.Design/methodology/approachData are gathered via survey questionnaires on 287 Muslim bank customers in major cities of East Malaysia. The data are then tested using partial least squares.FindingsThe results show that attitude, subjective norm, perceived behavioural control, price fairness and Islamic altruism are significantly influenced by Muslim bank customers’ intention to choose Islamic home financing products. Islamic altruism is also found to significantly moderate the relationship between price fairness and behavioural intention.Research limitations/implicationsThree limitations are available for future research that include the geographical restriction, respondents’ selection and a limited number of battery items used.Practical implicationsEssentially, the results of this study serve as a guide for Islamic bank managers or mortgage providers to improve their pertinent marketing strategies, which are vital to enhancing the acceptance rate of Islamic mortgage.Originality/valueThis study extends the TPB model by incorporating price fairness and Islamic altruism into the Islamic home financing context.
A generative design case study for UAV-based assembly and fabrication: parametric analysis and synthesis of Iranian-Islamic Muqarnas
Authors: Zamani Erfan , Dounas Theodoros 
Published: September 2021

PurposeThis study proposes a DfMA (Design for Manufacture and Assembly) based on unmanned aerial vehicle (UAV) and uses Iranian-Islamic Muqarnas as the main case study due to their geometric modularity. In Islamic architecture, different geographic regions are known to have used various design and construction methods of “Muqarnas”, a type of decorated dome.Design/methodology/approachThe paper presents a study on parametric analysis of the Iranian-Islamic Muqarnas and analyses its components, geometric relations and construction methods that should be considered when constructing one. This study aims to use the Muqarnas analysis as a driver to generate a DfMA basis on the UAVs and parametric fabrication. In Islamic architecture, different geographic regions use various design and construction methods of Muqarnas. There are four main parameters of the Muqarnas that define their classification; first, their three-dimensional shape, that provides volume. Second, the size of their modules is variable. Third, their own specific generative process-algorithm, and finally, the two-dimensional pattern plan that is used as a basis in the design. Thus, the authors present a global analytical study that drives a generative system to construct Muqarnas, through a careful balance of the four parameters.FindingsThis study thus presents a global analytical study that drives a generative system to construct Muqarnas, through a careful balance of four specifications. The paper reports the result of using a parametric tool, Grasshopper and parametric plugins, for creating a generative system of several types of Muqarnas. This synthetic translation aims at expanding our understanding of parametric analysis and synthesis of traditional architecture, advancing our understanding towards using parametric synthesis, with the scope to fabricate and assemble modules towards UAV-based fabrication of Muqarnas. To do so, the authors are taking advantage of their inherent repetition and recursion.Originality/valueIn the first step, this paper reviews studies on traditional Muqarnas (both Iranian and non-Iranian) and relevant parametric approaches. In the second step, the study aims to create a general generative system for Muqarnas. The creation of a generative system for Muqarnas is driven towards the creation of three-dimensional fabrication of their components so that these are assembled automatically using a swarm of UAVs. This particular drive imposes specific constraints in the parametric system, as the assembly of the final components, the authors posit, can only take place in a pick and place fashion.
Bat phylogenetic responses to regenerating Amazonian forests
Authors: Farneda Fábio Z. , Rocha Ricardo , Aninta Sabhrina G. , López‐Baucells Adrià , Sampaio Erica M. , Palmeirim Jorge M. , Bobrowiec Paulo E. D. , Dambros Cristian S. , Meyer Christoph F. J. 
Published: September 2021

AbstractThroughout the tropics, regenerating secondary forests occupy vast areas previously cleared for agriculture and cattle ranching. However, despite the importance of regenerating forests in mitigating the pervasive negative consequences of forest loss and fragmentation on forest‐associated biodiversity, longitudinal studies on species' phylogenetic responses to matrix regeneration are rare.We surveyed bats in continuous primary forest, primary forest fragments and in the regenerating secondary forest matrix of a whole‐ecosystem Amazonian fragmentation experiment, ~15 and ~30 years after forest clearance, to investigate how changes in matrix quality through forest recovery affect phylogeneticα‐ andβ‐diversity.We found that temporal changes in phylogeneticα‐richness were more marked in the secondary forest matrix than in forest fragments and continuous forest, evidencing a significant increase in total evolutionary history over time. However, when the effects of species richness were accounted for, the phylogenetic structure of each assemblage was reduced close to zero, evincing a random pattern of lineages in all habitat types. Temporal differences in phylogeneticβ‐diversity were driven mainly byβreplacementin secondary forest and continuous forest ~30 years after forest clearance. Both habitats also clustered together in terms ofβrichness, indicating similar levels of evolutionary heritage. Consequently, regenerating secondary forest showed a reduction in the extinction probability of lineages over time.Synthesis and applications. Approximately 30 years of secondary forest regeneration were sufficient for phylogenetic richness to recover to levels similar to those observed in continuous forest. Promoting forest succession on degraded land through a combination of natural and active restoration, while ensuring the long‐term protection of secondary forests regardless of their age, is of key importance for conserving tropical bat diversity and their associated ecosystem services. Such restoration measures would stimulate the recolonization of fragments and matrix habitats by evolutionarily distinct bat species, safeguarding phylogenetically diverse assemblages and ecological functions. Our study suggests that forest restoration in tropical degraded areas should be encouraged and secondary forests be protected by law, especially in countryside ecosystems with high primary forest cover, and in the surroundings of protected areas.