bluuebunny/crossref_metadata_2025_split huggingface dataset:
Incorporating Faculty and Student Co-leadership in Workgroup Structures
Authors: Kumar Chitra , Lowrie D. J. , Pritchard Tracy , Kelly Lisa 
Published: August 2024

AbstractIn 2020, the Dean of the University of Cincinnati College of Medicine created a college-wide task force to address inequities in the medical school curriculum. The task force consisted of four workgroups, each co-chaired by a faculty member and a student. This co-leadership model was chosen because it provided diverse perspectives and addressed the typical faculty-student power differentials. This co-leadership model balanced knowledge of medical education curriculum with the student experience. It also provided the opportunity for the co-chairs to take on new roles in leadership development: the student assumed a leadership role running the workgroup with guidance from the faculty member, while the faculty member gained insight and perspective on diversity and inclusion from the student. The purpose of this article is to describe our lessons learned during this co-leadership process.
Impact of Forest Operations in Four Biogeographical Regions in Europe: Finding the Key Drivers for Future Development
Authors: Engler Benjamin , Hartmann Gwendolin , Mederski Piotr S. , Bont Leo G. , Picchi Gianni , Alcoverro Gerard , Purfürst Thomas , Schweier Janine 
Published: August 2024

Abstract
Purpose of the Review
The aim of the review was to better understand the impacts of the dominant harvesting systems in Europe, namely harvester-forwarder (HFW), chainsaw-skidder (CSK), and chainsaw-cable yarder (CCY). Furthermore, we aimed to learn how the impact categories environment, economy, ergonomics, people and society, and quality optimization are related to the European biogeographical regions Boreal, Continental, Alpine, and Mediterranean forests. Based on this, key drivers for the future development of forest operations were identified. It was specifically not the aim to develop models through the outcome of this study.

Recent Findings
HFW harvesting systems dominate in Boreal (99%) and Continental forests (72%). In Alpine forests the most relevant, even when not dominant, harvesting system is CCY (47%). CSK harvesting systems are applied in all biogeographical regions, with a focus on Mediterranean (70%), Alpine (50%) and Continental (22%) forests. Major drivers for harvesting system development were identified: (i) increased environmental constraints, (ii) increased complexity of harvesting caused by an increasing area of mixed-forest stands, (iii) increased resource efficiency fostered by a growing demand for wood products, (iv) a reduced available work force resulting from heightened competition for skilled worker and an aging population, and (v) more transparent work and material flows through the introduction of digitalization.

Summary
A literature review from 110 journal articles and 975 datasets from four biogeographical regions in Europe, specifically from Estonia, Germany, Spain and Switzerland was performed. Most of the reviewed papers included information about economic or environmental impacts, while ergonomics, quality optimization and societal aspects were less in focus. The impacts from the HFW, CSK and CCY harvesting systems were evaluated against regional conditions. Unfortunately, a common understanding of harvesting system evaluation is missing, which limits the comparability of results between different regions.
Signal to Noise Ratio and Spectral Sampling Constraints on Olivine Detection and Compositional Determination in the Intermediate Infrared Region: Applications in Planetary Sciences
Authors: Pérez‐López S. A. , Kremer C. H. , Mustard J. F. 
Published: August 2024

AbstractSpectral features of olivine across the intermediate infrared region (IMIR, 4–8 μm) shift systematically with iron‐magnesium content, enabling determination of olivine composition. Previous IMIR studies have used laboratory data with signal‐to‐noise ratios (SNRs) and spectral resolutions potentially greater than those of data derived from planetary missions. Here we employ a feature fitting algorithm to quantitatively assess the influence of data quality on olivine detection and compositional interpretation from IMIR data of 29 spectra of pure olivine of synthetic, terrestrial, lunar, and Martian origins, as well as 5 spectra of lunar pyroclastic beads measured as bulk samples. First, we demonstrate the effectiveness of the feature fitting algorithm in the interpretation of IMIR olivine spectra, predicting olivine composition with an average error of 6.4 mol% forsterite across all test spectra using laboratory‐quality data. We then extend this analysis to degraded test spectra with reduced SNRs and sampling rates and find a range of data qualities required to predict olivine composition within ±11 Mg# (molar Mg/[Mg + Fe] × 100) for the test spectra explored here. Spectra for the sample most relevant to lunar exploration, an Apollo 74002 drive tube consisting of microcrystalline olivine and glass‐rich pyroclastics, required SNRs ≥ 200 for sampling rates ≤25 nm to predict composition within ±11 Mg# of the sample's true composition. Derived limits on SNRs and sampling rates will serve as valuable inputs for the development of IMIR spectrometers, enabling comprehensive knowledge of olivine composition on the lunar surface.
Interannual Influence of Antarctic Sea Ice on Southern Hemisphere Stratosphere‐Troposphere Coupling
Authors: Rea Divya , Elsbury Dillon , Butler Amy H. , Sun Lantao , Peings Yannick , Magnusdottir Gudrun 
Published: August 2024

AbstractWhile weakening of the boreal polar vortex may be caused by autumnal Arctic sea ice loss, less is known about the interannual influence of Antarctic sea ice on stratosphere‐troposphere coupling in the Southern Hemisphere. Identifying any relationship over the short satellite period is difficult due to sampling variability and anthropogenic modification of the austral polar vortex. To circumvent these issues, we use large ensembles of fixed boundary condition simulations from the Community Atmosphere Model (CAM) and Whole Atmosphere Community Climate Model (WACCM) to assess if and how interannual fluctuations in winter Antarctic sea ice influence spring planetary‐scale waves and the coupled stratosphere‐troposphere circulation. Low Antarctic sea ice conditions are found to modulate tropospheric stationary waves to project constructively onto the climatological stationary wave, enhancing upward planetary wave propagation into the austral polar stratosphere. In WACCM, the resulting vortex weakening coincides with development of negative Southern Annular Mode conditions during September–November.
Geochemistry of Olivine Melt Inclusion Reveals Interactions Between Deeply Derived Carbonated Melts From the Big Mantle Wedge and Pyroxenite in the Lithospheric Mantle Beneath Eastern Asia
Authors: Wei Zhen , Li Hong‐Yan , Ma Liang , Hou Yong‐Sheng , Wang Yu , Xu Yi‐Gang 
Published: August 2024

AbstractOur current knowledge regarding the distribution patterns of ancient and recent recycled materials, as well as the origin of intraplate basalts in the eastern Asia Big Mantle Wedge (BMW), is limited. To address this, we conducted a detailed geochemical analysis of olivine melt inclusions (OLMI) in nephelinite samples. The normal OLMIs detected in our investigation exhibit geochemical features that closely resemble those of the hosting nephelinite, indicating a consistent association with a carbonated mantle source. Additionally, we identified a distinct group of anomalous OLMIs that displayed different geochemical characteristics from the hosting nephelinite but showed similarities to regional alkali basalts sourced from pyroxenite. The observed geochemical diversity in the nephelinite OLMIs suggests an interaction between deeply derived carbonated melts originating from the flattened Pacific slab in the mantle transition zone and pyroxenite in the lithospheric mantle. Carbonated fluid‐fluxed melting is key to basalt formation in the BMW.
Longwave Radiative Feedback Due To Stratiform and Anvil Clouds
Authors: Luschen Emily , Ruppert James 
Published: August 2024

AbstractStudies have implicated the importance of longwave (LW) cloud‐radiative forcing (CRF) in facilitating or accelerating the upscale development of tropical moist convection. While different cloud types are known to have distinct CRF, their individual roles in driving upscale development through radiative feedback is largely unexplored. Here we examine the hypothesis that CRF from stratiform regions has the greatest positive effect on upscale development of tropical convection. We do so through numerical model experiments using convection‐permitting ensemble WRF (Weather Research and Forecasting) simulations of tropical cyclone formation. Using a new column‐by‐column cloud classification scheme, we identify the contributions of five cloud types (shallow, congestus, and deep convective; and stratiform and anvil clouds). We examine their relative impacts on longwave radiation moist static energy (MSE) variance feedback and test the removal of this forcing in additional mechanism‐denial simulations. Our results indicate the importance stratiform and anvil regions in accelerating convective upscale development.
Continuing Current Seen Above and Below the Cloud: Comparing Observations From GLM and High‐Speed Video Cameras
Authors: Ding Ziqin , Zhu Yanan , Lapierre Jeff , DiGangi Elizabeth , Ringhausen Jacquelyn , Lauria Paola B. , Saba Marcelo M. F. , Rakov Vladimir A. , Abbasi Rasha U. , da Silva Diego R. R. , da Silva Tagianne P. 
Published: August 2024

AbstractThis study assesses the reliability and limitations of the Geostationary Lightning Mapper (GLM) in detecting continuing currents by comparing observations from ground‐based high‐speed cameras with GLM‐16 data. Our findings show that the GLM's one‐group detection efficiency (DE_1) is 53%, while the more stringent five‐consecutive‐group detection efficiency (DE_5) is 10%. Optical signals detected by the GLM predominantly occur during the early stages of continuing currents. Additionally, there is a notable disparity in detection efficiencies between positive and negative continuing currents, with positive continuing currents being detected more frequently. The application of the logistic regression model developed by Fairman and Bitzer (2022) further illustrates the limitations in continuing current identification. The study underscores the challenges of relying solely on satellite data to monitor and analyze continuing currents, emphasizing the need for advancements in detection technologies and methodologies to reliably detect continuing current at a large spatial scale.
Seasonal Dependency of the Solar Cycle, QBO, and ENSO Effects on the Interannual Variability of the Wind DW1 in the MLT Region
Authors: Wu Chen , Ridley Aaron J. , Cullens Chihoko Y. 
Published: August 2024

AbstractThe migrating diurnal tide (DW1) is derived by fitting Hough Mode Extensions to the TIMED/TIDI near‐global wind measurements within the mesosphere and lower thermosphere between 85 and 100 km from 2004 to 2014. The tidal amplitude peaks around the equinoxes with a large interannual variability of up to 50%. The correlation coefficients between the tidal amplitude variability and the solar cycle as represented by F10.7, stratospheric Quasi‐Biennial Oscillation (QBO), and El Niño‐Southern Oscillation (ENSO) are calculated every 10 days revealing seasonal dependencies. The interannual variability is positively correlated with QBO from spring to fall, maximizing around the equinoxes; anti‐correlated to the solar cycle in early winter; and anti‐correlated to ENSO in early winter and slightly in March. Multivariate linear regressions are performed to quantitatively analyze the linear relationships between the DW1 amplitude and those factors. The fittings perform best with the QBO at 30 and 50 hPa both being considered. The contribution of QBO peaks around January and October may be related to the polar vortex modulated by QBO in the northern and southern hemispheres, respectively. The correlation between the DW1 amplitude and ENSO is negative with time lags <∼5 months during early winter and spring.
Deep Entry of Low‐Energy Ions Into Mercury’s Magnetosphere: BepiColombo Mio’s Third Flyby Observations
Authors: Harada Yuki , Saito Yoshifumi , Hadid Lina Z. , Delcourt Dominique , Aizawa Sae , Rojo Mathias , André Nicolas , Persson Moa , Fraenz Markus , Yokota Shoichiro , Fedorov Andréi , Miyake Wataru , Penou Emmanuel , Barthe Alain , Sauvaud Jean‐André , Katra Bruno , Matsuda Shoya , Murakami Go 
Published: August 2024

AbstractAlthough solar wind‐driven convection is expected to dominate magnetospheric circulation at Mercury, its exact pattern remains poorly characterized by observations. Here we present BepiColombo Mio observations during the third Mercury flyby indicative of convection‐driven transport of low‐energy dense ions into the deep magnetosphere. During the flyby, Mio observed an energy‐dispersed ion population from the duskside magnetopause to the deep region of the midnight magnetosphere. A comparison of the observations with backward test particle simulations suggests that the observed energy dispersion structure can be explained in terms of energy‐selective transport by convection from the duskside tail magnetopause. We also discuss the properties and origins of more energetic ions observed in the more dipole‐like field regions of the magnetosphere in comparison to previously reported populations of the plasma sheet horn and ring current ions. Additionally, forward test particle simulations predict that most of the observed ions on the nightside will precipitate onto relatively low‐latitude regions of the nightside surface of Mercury for a typical convection case. The presented observations and simulation results reveal the critical role of magnetospheric convection in determining the structure of Mercury's magnetospheric plasma. The upstream driver dependence of magnetospheric convection and its effects on other magnetospheric processes and plasma‐surface interactions should be further investigated by in‐orbit BepiColombo observations.
Efficient HLA imputation from sequential SNPs data by transformer
Authors: Tanaka Kaho , Kato Kosuke , Nonaka Naoki , Seita Jun 
Published: August 2024

AbstractHuman leukocyte antigen (HLA) genes are associated with a variety of diseases, yet the direct typing of HLA alleles is both time-consuming and costly. Consequently, various imputation methods leveraging sequential single nucleotide polymorphisms (SNPs) data have been proposed, employing either statistical or deep learning models, such as the convolutional neural network (CNN)-based model, DEEP*HLA. However, these methods exhibit limited imputation efficiency for infrequent alleles and necessitate a large size of reference dataset. In this context, we have developed a Transformer-based model to HLA allele imputation, named “HLA Reliable IMpuatioN by Transformer (HLARIMNT)” designed to exploit the sequential nature of SNPs data. We evaluated HLARIMNT’s performance using two distinct reference panels; Pan-Asian reference panel (n = 530) and Type 1 Diabetes genetics Consortium (T1DGC) reference panel (n = 5225), alongside a combined panel (n = 1060). HLARIMNT demonstrated superior accuracy to DEEP*HLA across several indices, particularly for infrequent alleles. Furthermore, we explored the impact of varying training data sizes on imputation accuracy, finding that HLARIMNT consistently outperformed across all data size. These findings suggest that Transformer-based models can efficiently impute not only HLA types but potentially other gene types from sequential SNPs data.
Systematic review and meta-analysis on the effects of chronic peri-adolescent cannabinoid exposure on schizophrenia-like behaviour in rodents
Authors: Li Zhikun , Mukherjee Diptendu , Duric Bea , Austin-Zimmerman Isabelle , Trotta Giulia , Spinazzola Edoardo , Quattrone Diego , Murray Robin M. , Di Forti Marta 
Published: August 2024

Abstract
Background
The link between cannabis use and schizophrenia is well-established in epidemiological studies, especially among adolescents with early-onset use. However, this association in rodent models is less clear. This meta-analysis examined the effects of adolescent cannabinoid exposure on distinct schizophrenia-like behaviours in rodents and how experimental variations influence outcomes.

Methods
Following a pre-registered protocol (CRD42022338761), we searched PubMed, Ovid Medline, Embse and APA PsychInfo for English-language original studies until May 2024. We synthesised data from experiments on schizophrenia-like behaviour in rats and mice after repeated peri-pubertal (onset between P23-P45) cannabinoid exposure. Risk of bias was assessed using the SYRCLE’s tool.

Results
We included 359 experiments from 108 articles across 9 behavioural tests. We found meta-analytic evidence supporting that CB1R agonists, both natural and synthetic, elicited broad schizophrenia-like behavioural alterations, including impaired working memory [g  = −0.56; (CI: −0.93, −0.18)], novel object recognition [g = −0.66; (CI: −0.97, −0.35)], novel object location recognition [g = −0.70; (CI: −1.07, −0.33]), social novelty preference [g = −0.52; (CI: −0.93, −0.11)], social motivation [g = −0.21; (CI: −0.42, −0.00)], pre-pulse inhibition [g = −0.43; (CI: −0.76, −0.10)], and sucrose preference [g = −0.87; (CI: −1.46, −0.27)]. By contrast, effects on novelty-induced locomotion were negligible. Subgroup analyses revealed similar effects across sexes and species. Substantial variance in the protocols and moderate-to-high heterogeneity in behavioural outcomes were observed. We found CBD may enhance fear memory recall, but data was limited.

Discussion
This is the first meta-analysis to comprehensively assess the link between cannabinoids and schizophrenia-like behaviours in rodents. Our results support epidemiological links between early cannabis use and schizophrenia-like phenotypes, confirming the utility of animal models. Standardising protocols will optimise models to strengthen reproducibility and comparisons, our work provides a framework for refining rodent models to elucidate biological pathways linking cannabis and schizophrenia.
Topical NSAIDs impact on macular oedema and visual outcome after phacoemulsification: systematic review of RCTs with network meta-analysis
Authors: Almasri Malaz , Ismaiel Abdulrahman , Gavris Iulia , Leucuta Daniel-Corneliu , Gavris Monica M. , Nicoara Simona Delia 
Published: August 2024

AbstractThe aim of this Network Meta-analysis was to compare the efficacy of the different topical Nonsteroidal anti-inflammatory drugs (NSAIDs) when added or not to topical steroids in preventing the thickening of the macula and their impact on visual acuity and intraocular pressure after phacoemulsification. Five electronic databases were searched, including PubMed, Embase, Scopus, Cochrane Library, and ClinicalTrials.gov. Our primary outcome was one-month post-surgery visual outcome. We also considered change in Foveal thickness (FT) and Intraocular pressure (IOP) at one-month post-surgery. We summarized our analyses by calculating the mean differences (MD) with associated 95% confidence intervals (CI) using restricted maximum likelihood in random effects models for continuous outcomes. The methodological quality of the studies was assessed with Cochrane Collaboration’s tool. The network meta-analysis was conducted using frequentist approach considering Nepafenac 0.1% as a reference medication. Eleven Randomized controlled trials (RCTs) including 2175 subjects were selected for quantitative analysis. At one-month post-surgery, Bromfenac had statistically significant better visual acuity compared to Nepafenac 0.1% (p < 0.001), regarding FT, Nepafenac 0.3% had the least increase in FT compared to Nepafenac 0.1% (p = 0.09), regarding IOP, Diclofenac had the lowest IOP. No significant results regarding FT and IOP. Interestingly Ketorolac had the worst results regarding BCVA and IOP, and came last but one for FT. Overall, our network meta-analysis demonstrated that Bromfenac was associated with a significant improvement in visual acuity compared to Nepafenac 0.1% at one-month following cataract surgery, while Nepafenac 0.3% was associated with the least increase in foveal thickness.
GBA-AAV mitigates sleep disruptions and motor deficits in mice with REM sleep behavior disorder
Authors: Chen Ying , Xie Wei-Ye , Xia Dong , Zhang Mu-Tian , Sun Yan-Rui , Duan Wen-Xiang , Shen Yun , Wang Fen , Qu Wei-Min , Huang Zhi-Li , Liu Chun-Feng 
Published: August 2024

AbstractSleep disturbances, including rapid eye movement sleep behavior disorder (RBD), excessive daytime sleepiness, and insomnia, are common non-motor manifestations of Parkinson’s disease (PD). Little is known about the underlying mechanisms, partly due to the inability of current rodent models to adequately mimic the human PD sleep phenotype. Clinically, increasing studies have reported that variants of the glucocerebrosidase gene (GBA) increase the risk of PD. Here, we developed a mouse model characterized by sleep–wakefulness by injecting α-synuclein preformed fibronectin (PFF) into the sublaterodorsal tegmental nucleus (SLD) of GBA L444P mutant mice and investigated the role of the GBA L444P variant in the transition from rapid eye movement sleep behavior disorder to PD. Initially, we analyzed spectral correlates of REM and NREM sleep in GBA L444P mutant mice. Importantly, EEG power spectral analysis revealed that GBA L444P mutation mice exhibited reduced delta power during non-rapid eye movement (NREM) sleep and increased theta power (8.2–10 Hz) in active rapid eye movement (REM) sleep phases. Our study revealed that GBA L444P-mutant mice, after receiving PFF injections, exhibited increased sleep fragmentation, significant motor and cognitive dysfunctions, and loss of dopaminergic neurons in the substantia nigra. Furthermore, the over-expression of GBA-AAV partially improved these sleep disturbances and motor and cognitive impairments. In conclusion, we present the initial evidence that the GBA L444P mutant mouse serves as an essential tool in understanding the complex sleep disturbances associated with PD. This model further provides insights into potential therapeutic approaches, particularly concerning α-synuclein accumulation and its subsequent pathological consequences.
All-optical temporal logic gates in localized exciton polaritons
Authors: Li Hui , Chen Fei , Jia Haoyuan , Ye Ziyu , Zhou Hang , Luo Song , Shi Junheng , Sun Zhenrong , Xu Huailiang , Xu Hongxing , Byrnes Tim , Chen Zhanghai , Wu Jian 
Published: August 2024

AbstractExciton polaritons—quasi-particle excitations consisting of strongly coupled photons and excitons—present fascinating possibilities for photonic circuits, owing to their strong nonlinearity, ultrafast reaction times and their ability to form macroscopic quantum states at room temperature via non-equilibrium condensation. Past implementations of transistors and logic gates with exciton polaritons have been mostly realized using the spatial propagation of polariton fluids, which place high demands on the fabrication of the microcavities and typically require complex manipulations. In this work we have implemented the full set of logical gate functionalities (that is, temporal AND, OR and NOT gates) in localized exciton polaritons at room temperature, on the basis of precisely controlling the interplay between polariton condensate and exciton reservoir dynamics, using a two-pulse excitation scheme. The dynamics intrinsically covers the cascadability required by the logical operations, enabling efficient information processing without the need for spatial flow. The temporal polariton logic gates demonstrate advantages in ultrafast switching, universality and simplified compatibility with other dimensional controls, showing great potential for building polariton logic networks in strongly coupled light–matter systems.