bluuebunny/crossref_metadata_2025_split huggingface dataset:
Machine Learning-Based Delineation of Geodomain Boundaries: A Proof-of-Concept Study Using Data from the Witwatersrand Goldfields
Authors: Zhang Steven E. , Nwaila Glen T. , Bourdeau Julie E. , Ghorbani Yousef , Carranza Emmanuel John M. 
Published: March 2023

AbstractMachine-aided geological interpretation provides an opportunity for rapid and data-driven decision-making. In disciplines such as geostatistics, the integration of machine learning has the potential to improve the reliability of mineral resources and ore reserve estimates. In this study, inspired by existing geostatistical approaches that use radial basis functions to delineate domain boundaries, we reformulate the problem into a machine learning task for automated domain boundary delineation to partition the orebody. We use an actual dataset from an operating mine (Driefontein gold mine, Witwatersrand Basin in South Africa) to showcase our new method. Using various machine learning algorithms, domain boundaries were created. We show that based on a combination of in-discipline requirements and heuristic reasoning, some algorithms/models may be more desirable than others, beyond merely cross-validation performance metrics. In particular, the support vector machine algorithm yielded simple (low boundary complexity) but geologically realistic and feasible domain boundaries. In addition to the empirical results, the support vector machine algorithm is also functionally the most resemblant of current approaches that makes use of radial basis functions. The delineated domains were subsequently used to demonstrate the effectiveness of domain delineation by comparing domain-based estimation versus non-domain-based estimation using an identical automated workflow. Analysis of estimation results indicate that domain-based estimation is more likely to result in better metal reconciliation as compared with non-domained based estimation. Through the adoption of the machine learning framework, we realized several benefits including: uncertainty quantification; domain boundary complexity tuning; automation; dynamic updates of models using new data; and simple integration with existing machine learning-based workflows.
Prevalence and management of sleep disturbance in adults with primary brain tumours and their caregivers: a systematic review
Authors: Martin Jason A. , Hart Nicolas H. , Bradford Natalie , Naumann Fiona , Pinkham Mark B. , Pinkham Elizabeth P. , Holland Justin J. 
Published: March 2023

Abstract
Purpose
The aims of this systematic review were to (1) examine the prevalence, severity, manifestations, and clinical associations/risk factors of sleep disturbance in primary brain tumour (PBT) survivors and their caregivers; and (2) determine whether there are any sleep-focused interventons reported in the literature pertaining to people affected by PBT.

Methods
This systematic review was registered with the international register for systematic reviews (PROSPERO: CRD42022299332). PubMed, EMBASE, Scopus, PsychINFO, and CINAHL were electronically searched for relevant articles reporting sleep disturbance and/or interventions for managing sleep disturbance published between September 2015 and May 2022. The search strategy included terms focusing on sleep disturbance, primary brain tumours, caregivers of PBT survivors, and interventions. Two reviewers conducted the quality appraisal (JBI Critical Appraisal Tools) independently, with results compared upon completion.

Results
34 manuscripts were eligible for inclusion. Sleep disturbance was highly prevalent in PBT survivors with associations between sleep disturbance and some treatments (e.g., surgical resection, radiotherapy, corticosteroid use), as well as other prevalent symptoms (e.g., fatigue, drowsiness, stress, pain). While the current review was unable to find any sleep-targeted interventions, preliminary evidence suggests physical activity may elicit beneficial change on subjectively reported sleep disturbance in PBT survivors. Only one manuscript that discussed caregivers sleep disturbance was identified.

Conclusions
Sleep disturbance is a prevalent symptom experienced by PBT survivors, yet there is a distinct lack of sleep-focused interventions in this population. This includes a need for future research to include caregivers, with only one study identified. Future research exploring interventions directly focused on the management of sleep disturbance in the context of PBT is warranted.
Taurine Promotes Differentiation and Maturation of Neural Stem/Progenitor Cells from the Subventricular Zone via Activation of GABAA Receptors
Authors: Gutiérrez-Castañeda Nadia Estefanía , González-Corona Jessica , Griego Ernesto , Galván Emilio J. , Ochoa-de la Paz Lenin David 
Published: March 2023

AbstractNeurogenesis, the formation of new neurons in the brain, occurs throughout the lifespan in the subgranular zone of the dentate gyrus and subventricular zone (SVZ) lining the lateral ventricles of the mammal brain. In this process, gamma-aminobutyric acid (GABA) and its ionotropic receptor, the GABAA receptor (GABAAR), play a critical role in the proliferation, differentiation, and migration process of neural stem/progenitor cells (NPC). Taurine, a non-essential amino acid widely distributed throughout the central nervous system, increases the proliferation of SVZ progenitor cells by a mechanism that may involve GABAAR activation. Therefore, we characterized the effects of taurine on the differentiation process of NPC expressing GABAAR. Preincubation of NPC-SVZ with taurine increased microtubule-stabilizing proteins assessed with the doublecortin assay. Taurine, like GABA, stimulated a neuronal-like morphology of NPC-SVZ and increased the number and length of primary, secondary, and tertiary neurites compared with control NPC of the SVZ. Furthermore, neurite outgrowth was prevented when simultaneously incubating cells with taurine or GABA and the GABAAR blocker, picrotoxin. Patch-clamp recordings revealed a series of modifications in the NPCs’ passive and active electrophysiological properties exposed to taurine, including regenerative spikes with kinetic properties similar to the action potentials of functional neurons.
Reported outcomes in transsphenoidal surgery for pituitary adenomas: a systematic review
Authors: Layard Horsfall Hugo , Lawrence Alistair , Venkatesh Ashwin , Loh Ryan T. S. , Jayapalan Ronie , Koulouri Olympia , Sharma Rishi , Santarius Thomas , Gurnell Mark , Dorward Neil , Mannion Richard , Marcus Hani J. , Kolias Angelos G. 
Published: March 2023

Abstract
Purpose
Transsphenoidal surgery is an established treatment for pituitary adenomas. We examined outcomes and time points following transsphenoidal surgery for pituitary adenoma to identify reporting heterogeneity within the literature.

Methods
A systematic review of studies that reported outcomes for transsphenoidal surgery for pituitary adenoma 1990–2021 were examined. The protocol was registered a priori and adhered to the PRISMA statement. Studies in English with > 10 patients (prospective) or > 500 patients (retrospective) were included.

Results
178 studies comprising 427,659 patients were included. 91 studies reported 2 or more adenoma pathologies within the same study; 53 studies reported a single pathology. The most common adenomas reported were growth hormone-secreting (n = 106), non-functioning (n = 101), and ACTH-secreting (n = 95); 27 studies did not state a pathology. Surgical complications were the most reported outcome (n = 116, 65%). Other domains included endocrine (n = 104, 58%), extent of resection (n = 81, 46%), ophthalmic (n = 66, 37%), recurrence (n = 49, 28%), quality of life (n = 25, 19%); and nasal (n = 18, 10%). Defined follow up time points were most reported for endocrine (n = 56, 31%), extent of resection (n = 39, 22%), and recurrence (n = 28, 17%). There was heterogeneity in the follow up reported for all outcomes at different time points: discharge (n = 9), < 30 days (n = 23), < 6 months (n = 64), < 1 year (n = 23), and > 1 year (n = 69).

Conclusion
Outcomes and follow up reported for transsphenoidal surgical resection of pituitary adenoma are heterogenous over the last 30 years. This study highlights the necessity to develop a robust, consensus-based, minimum, core outcome set. The next step is to develop a Delphi survey of essential outcomes, followed by a consensus meeting of interdisciplinary experts. Patient representatives should also be included. An agreed core outcome set will enable homogeneous reporting and meaningful research synthesis, ultimately improving patient care.
Belowground plant traits and their ecosystem functions along aridity gradients in grasslands
Authors: Klimešová Jitka , Martínková Jana , Bartušková Alena , Ott Jacqueline P. 
Published: March 2023

AbstractEcosystem responses to environmental change are usually studied solely using aboveground (usually leaf) traits. However, belowground plant traits, such as fine roots and coarse belowground organs, likely play a crucial role in ecosystem response, especially under aridifcation. We conducted a literature survey on belowground plant traits along aridity gradients in temperate grasslands to propose which effect traits might be connected with abrupt vegetation changes that would occur with aridification due to environmental change. With increasing aridity, seasonal regeneration decreasingly relies on recruitment from the belowground bud bank and increasingly relies on regeneration from seeds. This leads to greater inter-annual variability in biomass production. Other belowground traits, such as bud bearing organs and fine root distribution in the soil, also shifts along the aridity gradient. As aridifcation begins, we propose that plants would become more conservative in their belowground traits producing lower amounts of belowground litter. Increasing aridifcation would lead to the loss of rhizomatous plants from the community and a prevalence of deep rooting plants leading to changes in soil resource utilization and increasing susceptibility to soil erosion. Under extreme aridification, perennial plants, except those with bulbs, would be lost from the community and replaced by annuals which produce low amounts of litter and use only ephemeral water resources in the upper soil layers. Belowground plant traits, such as belowground clonal growth organs, bud banks, and fine root distributions, may provide a more mechanistic understanding behind shifts in ecosystem functioning due to environmental change.
Assessing the Effect of Increased Deportations on Mexican Migrants’ Remittances and Savings Brought Home
Authors: Weber Rosa , Massey Douglas S. 
Published: March 2023

AbstractBeginning in the 1990s and intensifying after the events of September 11, deportations in the United States increased to record levels under President Obama and continued at high levels under President Trump. Although a growing literature addresses how migrants respond to the shifting context of reception, empirical evidence on how migrants’ remitting and saving behavior changed as a result of immigration enforcement remains limited. Using detailed individual-level data from the Mexican Migration Project (MMP, N = 6787) for the years 1970–2019, this study examines how deportations relate to Mexican migrants’ joint decisions to remit and/or save, and how this relationship differs by documentation status. Results from multinomial logistic regressions reveal that rising deportations are associated with an increase in the transnational economic engagement of undocumented migrants. This is largely due to an increase in remittances; savings brought back decrease with rising deportations, likely because keeping savings in the United States is riskier than sending money back directly. Among documented migrants, the remitting and saving behavior does not appear to change as deportations rise. Analyzing these behaviors together is important to gain a more complete understanding of migrants’ transnational economic ties and links to the country of destination.
Configurational analysis of conditions influencing customers’ channel switching intention in omnichannel retailing: a fuzzy-set analysis
Authors: Van Nguyen Anh Thi , Halibas Alrence S. , McClelland Robert , Thuan Nguyen Hoang 
Published: March 2023

AbstractThis research examined the interplay among personal factors, namely channel lock-in, cross-channel synergy, attribute-based decision making (ADM); environmental factors, namely others’ past switching behaviour (OPB), pressure to switch from others (PSO); and behavioural factors, namely perceived self-efficacy and perception on facilitating conditions as antecedents to customers’ channel switching intention in an omnichannel context. Drawing on the complexity theory and set theory, we applied configurational analysis using the fuzzy-set Qualitative Comparative Analysis. The result of the analysis indicated two (2) sufficient configurations that led to an intention to switch channels. Both configurations contained ADM, OPB, and PSO conditions that highlight the importance of personal factors and environmental factors needed for the presence of an intention to switch channels. However, no sufficient configurations were obtained that indicate an absence of intention to switch channels. This study challenges theoretical underpinnings by demonstrating that omnichannel channel-switching behaviours can be explained from a configurational perspective. The configurations produced by this study can serve as a basis for researchers who plan to conduct asymmetric modelling of customers' channel-switching behaviour in an omnichannel context. Finally, this paper suggests omnichannel retail strategies and management as informed by these configurations.
Relationship between secondary health conditions and life satisfaction in persons with spinal cord injury: study across twenty-one countries
Authors: Tasiemski Tomasz , Kujawa Jolanta , Tederko Piotr , Rubinelli Sara , Middleton James W. , Craig Ashley , Post Marcel W. M. 
Published: March 2023

Abstract
Purpose
To determine the relationships between impact of secondary health conditions (SHCs), treatment of SHCs, and life satisfaction (LS) following spinal cord injury (SCI) across 21 countries. Hypotheses were as follows: (1) Persons with SCI and fewer SHCs report higher LS and (2) Persons who receive treatment for SHCs report higher LS than those who do not receive treatment.

Methods
Cross-sectional survey, including 10,499 persons with traumatic or non-traumatic SCI aged 18 years or older and living in the community. To assess SHCs, 14 items adapted from the SCI-Secondary Conditions Scale were used (range 1–5). SHCs index was calculated as the mean of all 14 items. LS was assessed using a selection of 5 items from the World Health Organization Quality of Life Assessment. LS index was calculated as the mean of these 5 items.

Results
South Korea, Germany, and Poland exhibited the highest (2.40–2.93) and Brazil, China, and Thailand the lowest (1.79–1.90) impact of SHCs. Indexes for LS and SHCs were inversely correlated (– 0.418; p < 0.001). Mixed Model Analysis showed that the fixed effect (key predictors of the study) of SHCs index (p < 0.001) and the positive interaction between SHCs index and treatment (p = 0.002) were significant determinants of LS.

Conclusion
Persons with SCI across the world are more likely to perceive better LS if they experience fewer SHCs and receive treatment for SHCs, in comparison to those who do not. Prevention and treatment of SHCs following SCI should be a high priority in order to improve the lived experience and enhance LS.
Future Exploration of the Outer Heliosphere and Very Local Interstellar Medium by Interstellar Probe
Authors: Brandt P. C. , Provornikova E. , Bale S. D. , Cocoros A. , DeMajistre R. , Dialynas K. , Elliott H. A. , Eriksson S. , Fields B. , Galli A. , Hill M. E. , Horanyi M. , Horbury T. , Hunziker S. , Kollmann P. , Kinnison J. , Fountain G. , Krimigis S. M. , Kurth W. S. , Linsky J. , Lisse C. M. , Mandt K. E. , Magnes W. , McNutt R. L. , Miller J. , Moebius E. , Mostafavi P. , Opher M. , Paxton L. , Plaschke F. , Poppe A. R. , Roelof E. C. , Runyon K. , Redfield S. , Schwadron N. , Sterken V. , Swaczyna P. , Szalay J. , Turner D. , Vannier H. , Wimmer-Schweingruber R. , Wurz P. , Zirnstein E. J. 
Published: March 2023

AbstractA detailed overview of the knowledge gaps in our understanding of the heliospheric interaction with the largely unexplored Very Local Interstellar Medium (VLISM) are provided along with predictions of with the scientific discoveries that await. The new measurements required to make progress in this expanding frontier of space physics are discussed and include in-situ plasma and pick-up ion measurements throughout the heliosheath, direct sampling of the VLISM properties such as elemental and isotopic composition, densities, flows, and temperatures of neutral gas, dust and plasma, and remote energetic neutral atom (ENA) and Lyman-alpha (LYA) imaging from vantage points that can uniquely discern the heliospheric shape and bring new information on the interaction with interstellar hydrogen. The implementation of a pragmatic Interstellar Probe mission with a nominal design life to reach 375 Astronomical Units (au) with likely operation out to 550 au are reported as a result of a 4-year NASA funded mission study.
Long-term monitoring confirms limitations of recruitment and facilitation and reveals unexpected changes of the successional pathways in a glacier foreland of the Central Austrian Alps
Authors: Erschbamer Brigitta , Niederfriniger Schlag Ruth , Carnicero Pau , Kaufmann Rüdiger 
Published: March 2023

AbstractOn a glacier foreland of the Central Austrian Alps, a permanent plot study was performed to investigate the successional pathway on two moraines. We expected that the pioneer stage deglaciated for 25 years will converge to an early successional stage after another 25 years and the early stage deglaciated for 40 years will show trends toward a late successional stage. Different dynamics of species occurrence such as colonization/persistence and cover increase/decrease, were anticipated. Twenty plots of 25 × 25 cm were established in 1996 on each successional stage by selecting vegetated and bare ground plots to account for impacts of facilitation on seedling recruitment. We expected seed and establishment limitations, therefore, also effects of sowing were studied on sown and control plots. Species enrichment occurred on all control and sown plots of both stages. However, the pioneer stage did not converge to an early successional stage as it was expected. On the early successional stage, only on sown plots a development toward a late successional stage was found. Bryophyta were the most efficient colonizers on all plots together with the lichenStereocaulon alpinumat the pioneer stage and the sown speciesAnthyllis vulnerariassp.alpicolaat the early successional stage. The pioneer speciesSaxifraga oppositifoliawas still present after 25 years on the pioneer and early successional stages, although its cover significantly decreased. We conclude that seed and establishment limitations, drought, facilitation deficits, and ageing of individuals are the essential drivers on the studied glacier foreland, creating ‘quasi-stationary’ communities.
Through Hawks’ Eyes: Synthetically Reconstructing the Visual Field of a Bird in Flight
Authors: Miñano Sofía , Golodetz Stuart , Cavallari Tommaso , Taylor Graham K. 
Published: March 2023

AbstractBirds of prey rely on vision to execute flight manoeuvres that are key to their survival, such as intercepting fast-moving targets or navigating through clutter. A better understanding of the role played by vision during these manoeuvres is not only relevant within the field of animal behaviour, but could also have applications for autonomous drones. In this paper, we present a novel method that uses computer vision tools to analyse the role of active vision in bird flight, and demonstrate its use to answer behavioural questions. Combining motion capture data from Harris’ hawks with a hybrid 3D model of the environment, we render RGB images, semantic maps, depth information and optic flow outputs that characterise the visual experience of the bird in flight. In contrast with previous approaches, our method allows us to consider different camera models and alternative gaze strategies for the purposes of hypothesis testing, allows us to consider visual input over the complete visual field of the bird, and is not limited by the technical specifications and performance of a head-mounted camera light enough to attach to a bird’s head in flight. We present pilot data from three sample flights: a pursuit flight, in which a hawk intercepts a moving target, and two obstacle avoidance flights. With this approach, we provide a reproducible method that facilitates the collection of large volumes of data across many individuals, opening up new avenues for data-driven models of animal behaviour.
A Minimal Solution for Image-Based Sphere Estimation
Authors: Tóth Tekla , Hajder Levente 
Published: March 2023

AbstractWe propose a novel minimal solver for sphere fitting via its 2D central projection, i.e., a special ellipse. The input of the presented algorithm consists of contour points detected in a camera image. General ellipse fitting problems require five contour points. However, taking advantage of the isotropic spherical target, three points are enough to define the tangent cone parameters of the sphere. This yields the sought ellipse parameters. Similarly, the sphere center can be estimated from the cone if the radius is known. These proposed geometric methods are rapid, numerically stable, and easy to implement. Experimental results—on synthetic, photorealistic, and real images—showcase the superiority of the proposed solutions to the state-of-the-art methods. A real-world LiDAR-camera calibration application justifies the utility of the sphere-based approach resulting in an error below a few centimeters.
Applications of Explainable Artificial Intelligence in Finance—a systematic review of Finance, Information Systems, and Computer Science literature
Authors: Weber Patrick , Carl K. Valerie , Hinz Oliver 
Published: March 2023

AbstractDigitalization and technologization affect numerous domains, promising advantages but also entailing risks. Hence, when decision-makers in highly-regulated domains like Finance implement these technological advances—especially Artificial Intelligence—regulators prescribe high levels of transparency, assuring the traceability of decisions for third parties. Explainable Artificial Intelligence (XAI) is of tremendous importance in this context. We provide an overview of current research on XAI in Finance with a systematic literature review screening 2,022 articles from leading Finance, Information Systems, and Computer Science outlets. We identify a set of 60 relevant articles, classify them according to the used XAI methods and goals that they aim to achieve, and provide an overview of XAI methods used in different Finance areas. Areas like risk management, portfolio optimization, and applications around the stock market are well-researched, while anti-money laundering is understudied. Researchers implement both transparent models and post-hoc explainability, while they recently favored the latter.