bluuebunny/crossref_metadata_2025_split huggingface dataset:
Content Creators Between Platform Control and User Autonomy
Authors: Hödl Tatjana , Myrach Thomas 
Published: May 2023

AbstractContent creators generate and upload content on social media platforms. If these platforms have a revenue-sharing policy, content creators earn income from advertising revenue. This income is heavily dependent on the distribution of the content and the resulting view counts. Platform owners may exert algorithmic control that impacts content distribution, advertising income, and, consequently, the behaviour of content creators. The objectives of the platform owners combined with the interests of the content creators may lead to paradoxical tensions between the aims of control and autonomy. The opaque nature of algorithms coupled with the need to be recognised by the algorithm further reinforces this phenomenon. This study follows an interpretive qualitative research approach applying grounded theory methodology. This research uses semi-structured interviews with content creators to develop a theory explaining the tension between control and autonomy on revenue-sharing social media platforms. The study shows that algorithmic control and incentivisation create paradoxical tensions that affect the autonomy of content creators. Content creators attempt to minimise tensions of algorithm versus audience, regularity versus scheduling autonomy, and analytics versus decision-making autonomy in two ways: through self-centred measures such as improving metrics, pre-production, and being a pioneer and extraneous measures involving their own businesses, products, and sponsorships. This study sheds some light on the phenomenon of paradoxical tensions and provides guidance and strategies for content creators and platform owners about proceeding with their relationship. This study’s findings provide platform owners and decision-makers with a deeper understanding of the behaviour of content creators and the hurdles they face in platform work. The findings help them identify challenges, draw conclusions, and implement changes.
Breast-to-Brain Metastasis: from Microenvironment to Plasticity
Authors: Das Diganta , Iyer Mukund , Roussos Torres Evanthia T. , Chow Frances E. , Neman Josh 
Published: May 2023

AbstractPurpose of ReviewBrain metastasis is a significant cause of mortality in breast cancer patients and treatment options are limited. This article will focus on the dynamic intercellular communication between metastatic cancer cells, the tumor microenvironment, and neighboring brain cells to breach the brain’s defenses and promote tumor progression.Recent FindingsRecent advances have further elucidated how tumor cells traverse through the blood–brain barrier and implicated the blood–cerebrospinal fluid barrier as a potential entry point. Tumor cells once within the brain milieu utilize factors secreted by and dynamically reprogram neurons, glial cells, and infiltrating leukocytes for their own colonization and survival.SummaryCurrent research has illuminated key mechanisms metastatic breast cancer cells utilize to infiltrate the brain and assimilate in their new environment. New multimodal treatments are investigating not only chemotherapy and radiation that can target metastatic tumor cells, but also immune checkpoint inhibitor–based therapies to sensitize the immune microenvironment.
Investigating the Feasibility and Effects of an Online Mindfulness Family Caregiver Training Program
Authors: Juberg Michael , Stoll Naomi , Goldin Philippe , Bell Janice 
Published: May 2023

Abstract
Objectives
This nonrandomized trial investigated the feasibility and mental health outcomes associated with a mindfulness family caregiver (MFC) training program delivered online.

Method
The study included 216 family caregivers (85.2% female; mean age = 57.34, SD = 12.87; 83.4% White, 2.8% Black, 12% Asian, 8.1% Hispanic, 1.8% American Indian/Alaska Native) who enrolled in the weekly, 4-session MFC training and completed self-report assessments at baseline, 1-month later at pre-training, and immediately after the MFC training. Feasibility was assessed in six domains (acceptability, demand, implementation, practicality, expansion, and limited efficacy) using self-reports and program attendance.

Results
The program was feasible in six domains. For feasibility, 70% of participants completed ≥ 75% of the training, with high rates of endorsement of training facets. For mental health outcomes, MFC was associated with significant improvement in depression (Hedges’ g = 0.49), anxiety (g = 0.64), caregiver burden (g = 0.51), and positive affect/well-being (g = 0.56). There was also evidence of increased physical (g = 0.19) and emotional (g = 0.19) health in caregivers.

Conclusions
A brief, 4-week, online group mindfulness training may be feasible and effective in reducing caregiver burden and enhancing psychological well-being in family caregivers.

Preregistration
The study is preregistered at Open Science Framework (https://osf.io/twz58/).
Boring bryozoans: an investigation into the endolithic bryozoan family Penetrantiidae
Authors: Decker Sebastian H. , Hirose Masato , Lemer Sarah , Kuklinski Piotr , Spencer Hamish G. , Smith Abigail M. , Schwaha Thomas 
Published: May 2023

AbstractAn endolithic lifestyle in mineralized substrates has evolved multiple times in various phyla including Bryozoa. The family Penetrantiidae includes one genus with ten extant and two fossil species. They predominantly colonize the shells of molluscs and establish colonies by chemical dissolution of calcium carbonate. Based on several morphological characters, they were described to be either cheilostome or ctenostome bryozoans. For more than 40 years, neither the characters of species identity and systematics nor the problem of their phylogeny was approached. Consequently, the aim of this study is to reevaluate species identities and the systematic position of the genus Penetrantia by analyzing at least six different species from eight regions with the aid of modern methods such as confocal laser scanning microscopy and 3D-reconstruction techniques. This study demonstrates that the musculature associated with the operculum and brood chamber shows significant differences from the cheilostome counterparts and seems to have evolved independently. Together with the presence of other ctenostome-like features such as true polymorphic stolons and uncalcified body wall, this finding supports a ctenostome affinity. Operculum morphology reveals many new species-specific characters, which, together with information about gonozooid morphology, tentacle number, and zooid size ranges, will enhance species identification. It also revealed a probable new species in Japan as well as potential cryptic species in France and New Zealand. In addition, this study increases the known distribution range of the family and its substrate diversity. Altogether, the new information collated here provides the basis for future work on a neglected taxon.
Additive Engineering for Stable and Efficient Dion–Jacobson Phase Perovskite Solar Cells
Authors: Liu Min , Pauporté Thierry 
Published: May 2023

AbstractBecause of their better chemical stability and fascinating anisotropic characteristics, Dion–Jacobson (DJ)-layered halide perovskites, which owe crystallographic two-dimensional structures, have fascinated growing attention for solar devices. DJ-layered halide perovskites have special structural and photoelectronic features that allow the van der Waals gap to be eliminated or reduced. DJ-layered halide perovskites have improved photophysical characteristics, resulting in improved photovoltaic performance. Nevertheless, owing to the nature of the solution procedure and the fast crystal development of DJ perovskite thin layers, the precursor compositions and processing circumstances can cause a variety of defects to occur. The application of additives can impact DJ perovskite crystallization and film generation, trap passivation in the bulk and/or at the surface, interface structure, and energetic tuning. This study discusses recent developments in additive engineering for DJ multilayer halide perovskite film production. Several additive-assisted bulk and interface optimization methodologies are summarized. Lastly, an overview of research developments in additive engineering in the production of DJ-layered halide perovskite solar cells is offered.
Graphene oxide/chitosan doped polysulfone membrane for the treatment of industrial wastewater
Authors: Yasir Ahmed T. , Benamor Abdelbaki , Hawari Alaa H. , Mahmoudi Ebrahim 
Published: May 2023

AbstractRapid urbanization and industrialization have created tremendous stress on fresh water sources. Moreover, discharge of industrial wastewater has left public health and environment under high potential risks. In this paper, chitosan-functionalized graphene oxide (GO-CH) was synthesized and incorporated into polysulfone (Psf) ultrafiltration membranes. The concentration of the nanocomposite and the ratio of GO to CH in the nanocomposite were varied to produce different GO-CH doped polysulfone membranes. The effect of GO-CH addition on the morphology and membrane performance was studied through water contact angle, scanning electron microscopy, atomic force microscopy, porosity, pore size, and permeation measurements as well as rejection and antifouling tests, while produced GO-CH nanocomposite was characterized using FTIR and XRD analyses. The GO-CH/Psf membrane exhibited higher water flux, bovine serum albumin (BSA) rejection rate, and water flux recovery ratio, and lower BSA solution flux attenuation rate than pristine Psf membrane. GO-CH/Psf membrane containing 0.085 wt% nanocomposite with GO to CH ratio of 1 to 0.01 had an improved permeate flux of 136%. Maintaining the same GO-CH composition of 0.085 wt% and changing GO to CH ratio to 1:1 resulted in better hydrophilicity (contact angle 68°) and increased reversible fouling from 23 to 33%. The best membrane was further tested with real industrial wastewater obtained from a GTL plant in Qatar showed 28% improvement in COD removal.
Methods for Determination of the Layer Charge of Smectites: A Critical Assessment of Existing Approaches
Authors: Christidis G. E. , Chryssikos G. D. , Derkowski A. , Dohrmann R. , Eberl D. D. , Joussein E. , Kaufhold S. 
Published: May 2023

AbstractLayer charge is an important property of 2:1 phyllosilicates originating from isomorphic substitutions in the structure, from vacancies in the octahedral sheet and from unsatisfied bonds at the edges of the crystals. It is of particular interest in the case of smectites because it affects important properties of this mineral. Several methods have been proposed for determining the layer charge of smectites, namely the structural formula method (SFM), the alkylammonium method (AAM), the NH4-method, the K-saturation method, and the O-D method. Most of these methods have been used extensively in the past and they all have advantages and shortcomings. The SFM and the AAM are based on different principles and are considered as primary methods. They have been used for a long time but they are time consuming and they provide contrasting layer charge values, with the AAM yielding consistently lower layer charge values than the SFM, especially for low-charge smectites. The remaining methods have been developed more recently and have been calibrated over their primary counterparts. They are applied easily and are capable of producing a large amount of data within a short time. In this sense they can be used both for geological interpretations and for assessment of bentonite deposits at an industrial scale.
Denoising Method for Microseismic Signals with Convolutional Neural Network Based on Transfer Learning
Authors: Li Xuegui , Feng Shuo , Guo Yuantao , Li Hanyang , Zhou Yingjie 
Published: May 2023

AbstractMicroseismic signals contain various information for oil and gas developing. Increasing the signal-to-noise ratio of microseismic signals can successfully improve the effectiveness of oil and gas resource exploration. The lack of sufficient labeled microseismic signals makes it difficult to train neural network model. Transfer learning can solve this problem using image data sets to pre-train the denoising model and the learned knowledge can be transferred into microseismic signals denoising. In addition, a convolutional neural network (CNN) model with 16 layers is designed for noise reduction. Considering the strong similarity between noisy signals and denoising signals, residual learning is utilized to optimize the denoising model. The simulation experiment results show that the proposed denoising model eliminates the noise in the microseismic signals effectively and quickly, restores the amplitude of the microseismic signals with high accuracy, and has excellent effect in denoising on the information at the edge.
The Prevention Cycle: State Investments in Preventing System Risks over Time
Authors: Heerma van Voss Bas 
Published: May 2023

AbstractThe policy drivers for preventing system risks – risks that threaten vital parts of society – represent an as-yet understudied subject. A fundamental characteristic of an effective prevention policy for system risks is long-term investment. This article presents evidence that long-term investment in prevention follows a cyclical rather than a stable pattern, which implies large costs to the welfare of future generations. This cycle is usually triggered by a shock that shifts the set of preventive policies that are acceptable to or even demanded by society. After a rapid rise in preventive investment, however, attention often wanes, and the downturn of the prevention cycle sets in. While policy shocks from crises and disasters are commonly studied, their policy legacies rarely have been. This article offers a theoretical framework for this “prevention cycle”, demonstrates its applicability in understanding policy investment in several system risks and offers suggestions for its fundamental causes.
Indigenous Political Representation in Canada
Authors: Carrière Réal , Koop Royce 
Published: May 2023

AbstractDespite long-standing academic interest in Indigenous peoples and the Canadian state, there has been little study of Indigenous elected officials as representational actors. We ask: What are the distinctively Indigenous forms of representation practised by Indigenous elected officials in Canada? And how does clarifying the role of Indigenous elected officials as representatives both contribute to and enhance our overall understanding of Indigenous politics, governance and sovereignty? We draw on the existing literatures on substantive representation as well as original interviews conducted with current and former Indigenous elected officials to develop an original conceptualization of Indigenous representation. These actors differ in their perceptions of themselves and their roles as representatives, the representational behaviours they engage in and the outcomes they seek. Our conceptualization of Indigenous representation engages with four themes: Indigenous perspective, Indigenous advocacy, balance with other imperatives including constituency representation and party discipline, and Indigenous nationhood.
The mechanisms that control the preantral to early antral follicle transition and the strategies to have efficient culture systems to promote their growthin vitro
Authors: Nascimento D. R. , Barbalho E. C. , Gondim Barrozo L. , de Assis E. I. T. , Costa F. C. , Silva J. R. V. 
Published: May 2023

SummaryPreantral to early antral follicles transition is a complex process regulated by endocrine and paracrine factors, as well as by a precise interaction among oocyte, granulosa cells and theca cells. Understanding the mechanisms that regulate this step of folliculogenesis is important to improvein vitroculture systems, and opens new perspectives to use oocytes from preantral follicles for assisted reproductive technologies. Therefore, this review aims to discuss the endocrine and paracrine mechanisms that control granulosa cell proliferation and differentiation, formation of the antral cavity, estradiol production, atresia, and follicular fluid production during the transition from preantral to early antral follicles. The strategies that promotein vitrogrowth of preantral follicles are also discussed.
The experience of living with malignant meningioma
Authors: Maier Andrea Daniela , Nordentoft Sara , Mathiesen Tiit , Guldager Rikke 
Published: May 2023

AbstractObjectivesMeningiomas are the most common, primary intracranial tumor and most are benign. Little is known of the rare patient group living with a malignant meningioma, comprising 1–3% of all meningiomas. Our aim was to explore how patients perceived quality of daily life after a malignant meningioma diagnosis.MethodsThis qualitative explorative study was composed of individual semi-structured interviews. Eligible patients (n = 12) were selected based on ability to participate in an interview, from a background population of 23 patients diagnosed with malignant meningioma at Rigshospitalet from 2000 to 2021. We performed an inductive thematic analysis following Braun and Clarke’s guidelines.ResultsEight patients were interviewed. The analysis revealed 4 overarching themes: (1) perceived illness and cause of symptoms, (2) identity, roles, and interaction, (3) threat and uncertainty of the future, and (4) belief in authority. The perceived quality of daily life is negatively impacted by the disease. Patients experience a shift in self-concept and close interactions, and some struggle with accepting a new everyday life. Patients have a high risk of discordant prognostic awareness in relation to health-care professionals.Significance of resultsWe provide a much-needed patient-centered perspective of living with malignant meningioma: quality of life was affected by perception of threat and an uncertainty of the future. Perception of illness and the interpretation of the cause of symptoms varied between subjects, but a common trait was that patients’ identity, roles, and interactions were affected. Shared decision-making and a strengthened continuity during follow-up could aid this rare patient group.
In-depth morphological assessment revealed significant genetic variability in common buckwheat (Fagopyrum esculentum) and tartary buckwheat (Fagopyrum tataricum) germplasm
Authors: Bhat Sabreena , Nazir Muslima , Zargar Showkat A. , Naik Samiullah , Dar Waseem Ali , Bhat Bilal A. , Mahajan Reetika , Ganai Bashir Ahmad , Sofi Parvaze A. , Zargar Sajad Majeed 
Published: May 2023

AbstractBuckwheat (Fagopyrum spp.) is an important crop in the high-altitude regions of the Northwest Indian Himalayas. The agro-climatic heterogeneity of this region offers a great deal of diversity in the agro-morphology of buckwheat species. In this study, a total of 61 accessions of Fagopyrum esculentum and Fagopyrum tataricum were characterized for 17 morphological (8 qualitative and 9 quantitative) traits. Significant differences (P < 0.0001) among all the traits were revealed by one-way analysis of variance. Further, significant phenotypic variability in both qualitative as well as quantitative traits was also observed. Both positive and negative correlations were observed between the traits of agronomic relevance. The principal component analysis (PCA) reveals about 69% variability among the first six components. The accessions were divided into two key clusters with numerous subclusters by considering the unweighted pair group method with arithmetic mean dendrogram. A cluster of 19 accessions was formed utilizing a PCA scatter plot indicating accessions with maximum values for important quality traits like plant height, leaf blade width, stem colour (red), primary branches, inflorescence length, flower colour (greenish-yellow), seed anthocyanin colour (green), seed shape (ovate) and seed weight. These accessions can be of vital significance for future buckwheat breeding programmes. The findings from the current study will form a favourable base for genetic resource management, improved cultivation and applications of buckwheat at the commercial level in the northwestern Himalayas of India.
Zonal Distribution of Circumpolar Deep Water Transformation Rates and Its Relation to Heat Content on Antarctic Shelves
Authors: Narayanan Aditya , Gille Sarah T. , Mazloff Matthew R. , du Plessis Marcel D. , Murali K. , Roquet Fabien 
Published: May 2023

AbstractWe analyze 15‐year of observational data and a 5‐year Southern Ocean model simulation to quantify the transformation rates of Circumpolar Deep Water (CDW) and the associated heat loss to the surface. This study finds that over the continental shelves of East Antarctica and the Weddell and Ross Seas, surface buoyancy fluxes transform ∼4.4 Sv of surface waters into CDW, providing a path for CDW to lose heat to the surface. In addition, ∼6.6 Sv of CDW are mixed with surface waters in the Weddell and Ross subpolar gyres. In contrast, enhanced stratification inhibits the outcropping of CDW isopycnals, reducing their transformation rates by a factor of ∼8 over the continental shelf and by a factor of ∼3 over the deeper ocean in the Amundsen and Bellingshausen Seas. The CDW retains its offshore warm properties as it intrudes over the continental shelves, resulting in elevated bottom temperatures there. This analysis demonstrates the importance of processes in subpolar gyres to erode CDW and to facilitate further transformation on the continental shelves, significantly reducing the heat able to access ice shelf fronts. This sheltering effect is strongest in the western Weddell Sea and tends to diminish toward the east, which helps explain the large zonal differences in continental‐shelf bottom temperatures and the melt rates of Antarctic ice shelves.
Aerosol Indirect Effects on Water Vapor in the UTLS of Typhoon Saomai (2006)
Authors: Qu Yi , Khain Alexander , Chen Baojun , Sun Liangxiao , Meng Chunchun 
Published: May 2023

AbstractThe evolution of landfalling Typhoon Saomai (2006) is simulated using the Weather Research and Forecasting model with spectral bin microphysics scheme, showing tropical cyclone (TC) could vertically transport water vapor from troposphere to upper troposphere and lower stratosphere (UTLS). Three aerosol sensitivity experiments are conducted to explore the indirect effects of aerosol served as cloud condensation nuclei (CCN) on overshooting convection (OTC) and water vapor content in UTLS, namely MAR (maritime), MIX (semi‐continental) and CON (continental). Results revealed that CON simulation with high initial aerosol concentration showing invigorated convection at the periphery of the TC, which interfered with the reformation of TC eyewall, leading to TC weakening finally. In addition, CON simulated the least water content in UTLS through suppressing the number of convection overshooting the tropopause level. Most overshooting events take place during TC developing stage in the eyewall region before landfall. Higher levels of CCN concentration could lead to decreased number of OTC in TC, consistently reduced the water vapor content in UTLS. CON and MIX experiments simulated respectively 21.9% (16.2%) and 9.96% (1.5%) less OTC (water vapor content in UTLS) than MAR simulation. Water vapor content in UTLS is affected by the interaction of OTC and ice‐phase microphysics. The interesting point is that the CCN sensitivity experiments show that water vapor content in UTLS of a TC is sensitive to the CCN concentration in the boundary layer.