bluuebunny/crossref_metadata_2025_split huggingface dataset:
Enrique de Malacca/Maluku: Another Chapter in the Indonesia–Malaysia Heritage War?
Authors: Curaming Rommel 
Published: December 2022

AbstractMagellan's Malay slave, Enrique, accompanied him on his voyages and may have actually been the first to circumnavigate the world. This paper examines the extent to which the still sporadic and small-scale — but sometimes fierce — online disputes between Indonesian and Malaysian netizens over the “ownership” and “national” origin of Enrique might develop further as part of the long-standing “heritage war” between the two countries. It explains the historical roots of the dispute over Enrique, discusses reactions to it in Indonesia and, to an extent, in Malaysia, and analyses the coverage of and exchanges about Enrique on social media. Set against the backdrop of Lebow's constructivist cultural theory, this paper posits that the mutually reactive national identification process between Indonesians and Malaysians might significantly influence the trajectory of this conflict. If efforts in Indonesia to promote the idea of Enrique Maluku succeed and it becomes truly widely known, what are currently small and irregular skirmishes online over Enrique could develop into another enduring segment of the heritage war between the two countries.
Geological Hazards Susceptibility Evaluation Based on GA‐BPNN: A Case Study of Xingye County
Authors: Xu Kai , Ma Xiaogang , Liu Gang , Wu Chonglong , Kong Chunfang 
Published: December 2022

AbstractGeohazards are one of the most critical disasters that cause serious damage to engineering construction activities and peoples' lives and property; therefore, susceptibility evaluation of the geohazards is vital for planning future sustainable development and construction activities. This paper presents a multidisciplinary approach to divide the susceptibility grades of geohazards in Xingye County, using back‐propagation neural networks (BPNN), Geographical Information Systems, and grid analysis technology on remote sensing data. Twelve geohazards related causal factors were selected to reflect the physical geography, basic geology, ecological environment, human activities, and other characteristics of Xingye; the factors are: slope, aspect, topographic curvature, precipitation, normalized differential vegetation index, stratum lithology, linear faults, tectonic complexity, normalized differential water index, residential density, road network density, and land use/land cover. Two hidden layers of BPNN optimized by genetic algorithm (GA) were trained to evaluate the susceptibility grade of geohazards for Xingye. Receiver operating characteristics (ROC) curves, mean square error (MSE), mean of absolute percentage error (MAPE), and field investigation were used to test the validity of the models. Analysis and comparison of the results of different models as indicated by the values of area under curve (AUC) of ROC curves, MSE, and MAPE for five models clearly indicated that the GA‐BPNN model developed in the present study has the highest accuracy (0.9344) and the least errors (0.1925% and 7.3833%) for the susceptibility evaluation and prediction of geohazards in Xingye, followed by the BPNN, support vector machine, random forest, and logistic regression. Moreover, the results also show that the GA has a positive effect on the BPNN model. Furthermore, the GA‐BPNN model developed in the present study can be used for the assessment of geohazards susceptibility in similar regions.
Tracking Magma‐Crust‐Fluid Interactions at High Temporal Resolution: Oxygen Isotopes in Young Silicic Magmas of the Taupō Volcanic Zone
Authors: Rooyakkers Shane M. , Faure Kevin , Chambefort Isabelle , Barker Simon J. , Elms Hannah C. , Wilson Colin J. N. , Charlier Bruce L. A. 
Published: December 2022

AbstractOxygen isotopes are useful for tracing interactions between magmas, crustal rocks and surface‐derived waters. We use them here to consider links between voluminous silicic magmatism and large‐scale hydrothermal circulation in New Zealand's central Taupō Volcanic Zone (TVZ). We present >350 measurements of plagioclase, quartz, hornblende and groundmass glass δ18O values from 40 eruptions from three discrete magmatic systems: Ōkataina and Taupō calderas, and the smaller Northeast Dome system. For each mineral, mean δ18O values vary by ∼1‰ (δ18Oplag = +6.7–7.8‰, δ18Oqtz = +7.7–+8.7‰, δ18Ohbl = +5.4–+6.4‰, δ18Oglass = +7.1–+8.0‰), and inter‐mineral fractionations mostly reflect high‐temperature equilibria. Outliers (e.g., ∼+6‰ or >+10‰ plagioclase) represent contaminants incorporated on short‐enough timescales to preserve disequilibrium (∼102 yrs for plagioclase). Melt δ18O values calculated from phenocrysts are ∼+7.3–+8.0‰. Where multiple magmas were involved in the same eruption their δ18Omelt values are indistinguishable, implying that their parental mushes were isotopically well‐mixed. However, small (≤0.5‰) but consistent δ18Omelt value gradients occur over millennial timescales at Ōkataina and Taupō, with short‐term ∼0.4–0.5‰ decreases in δ18Omelt values over successive post‐caldera eruptions correlating with increases in 87Sr/86Sr. These changes reflect tens of percent assimilation of a mixture of hydrothermally altered silicic plutonic material and higher‐87Sr/86Sr greywacke. These examples represent the first evidence for assimilation of altered crust into TVZ magmas. The subtle and short‐lived isotopic signals of these interactions are only recognized through the high temporal resolution of the TVZ eruptive record and complementary radiogenic isotope data. Similar interactions may have been obscured in other nominally high‐ or normal‐δ18O magmatic systems.
Multi‐Event Analysis of the Correlation Between Chorus Waves and Electron Butterfly Distribution Using Van Allen Probes Observation
Authors: Peng Y. , Ma Q. , Li W. , Gan L. , Shen X.‐C. 
Published: December 2022

AbstractIn this study, using Van Allen Probes observations we identify 81 events of electron flux bursts with butterfly pitch angle distributions for tens of keV electrons with close correlations with chorus wave bursts in the Earth's magnetosphere. We use the high‐rate electron flux data from Magnetic Electron Ion Spectrometer available during 2013–2019 and the simultaneous whistler‐mode wave measurements from Electric and Magnetic Field Instrument Suite and Integrated Science to identify the correlated events. The events are categorized into 67 upper‐band chorus (0.5–0.8 fce) dominated events and 14 other events where lower‐band chorus (0.05–0.5 fce) has modest or strong amplitudes (fce represents electron cyclotron frequency). Each electron flux burst correlated with chorus has a short timescale of ∼1 min or less, suggesting potential nonlinear effects. The statistical distribution of selected electron burst events tends to occur in the post‐midnight sector at L > 5 under disturbed geomagnetic conditions, and is associated with chorus waves with relatively strong magnetic wave amplitude and small wave normal angle. The frequency dependence of the electron flux peaks agrees with the cyclotron resonant condition, indicating the effects of chorus‐induced electron acceleration. Our study provides new insights into understanding the rapid nonlinear interactions between chorus and energetic electrons.
Observations of Mantle Seismic Anisotropy Using Array Techniques: Shear‐Wave Splitting of Beamformed SmKS Phases
Authors: Wolf Jonathan , Frost Daniel A. , Long Maureen D. , Garnero Edward , Aderoju Adeolu O. , Creasy Neala , Bozdağ Ebru 
Published: December 2022

AbstractShear‐wave splitting measurements are commonly used to resolve seismic anisotropy in both the upper and lowermost mantle. Typically, such techniques are applied to SmKS phases that have reflected (m‐1) times off the underside of the core‐mantle boundary before being recorded. Practical constraints for shear‐wave splitting studies include the limited number of suitable phases as well as the large fraction of available data discarded because of poor signal‐to‐noise ratios (SNRs) or large measurement uncertainties. Array techniques such as beamforming are commonly used in observational seismology to enhance SNRs, but have not been applied before to improve SmKS signal strength and coherency for shear wave splitting studies. Here, we investigate how a beamforming methodology, based on slowness and backazimuth vespagrams to determine the most coherent incoming wave direction, can improve shear‐wave splitting measurement confidence intervals. Through the analysis of real and synthetic seismograms, we show that (a) the splitting measurements obtained from the beamformed seismograms (beams) reflect an average of the single‐station splitting parameters that contribute to the beam; (b) the beams have (on average) more than twice as large SNRs than the single‐station seismograms that contribute to the beam; (c) the increased SNRs allow the reliable measurement of shear wave splitting parameters from beams down to average single‐station SNRs of 1.3. Beamforming may thus be helpful to more reliably measure splitting due to upper mantle anisotropy. Moreover, we show that beamforming holds potential to greatly improve detection of lowermost mantle anisotropy by demonstrating differential SKS–SKKS splitting analysis using beamformed USArray data.
Seismic Noise Interferometry and Distributed Acoustic Sensing (DAS): Inverting for the Firn Layer S‐Velocity Structure on Rutford Ice Stream, Antarctica
Authors: Zhou Wen , Butcher Antony , Brisbourne Alex M. , Kufner Sofia‐Katerina , Kendall J‐Michael , Stork Anna L. 
Published: December 2022

AbstractFirn densification profiles are an important parameter for ice‐sheet mass balance and palaeoclimate studies. One conventional method of investigating firn profiles is using seismic refraction surveys, but these are difficult to upscale to large‐area measurements. Distributed acoustic sensing (DAS) presents an opportunity for large‐scale seismic measurements of firn with dense spatial sampling and easy deployment, especially when seismic noise is used. We study the feasibility of seismic noise interferometry (SI) on DAS data for characterizing the firn layer at the Rutford Ice Stream, West Antarctica. Dominant seismic energy appears to come from anthropogenic noise and shear‐margin crevasses. The DAS cross‐correlation interferometry yields noisy Rayleigh wave signals. To overcome this, we present two strategies for cross‐correlations: (a) hybrid instruments—correlating a geophone with DAS, and (b) stacking of selected cross‐correlation panels picked in the tau‐p domain. These approaches are validated with results derived from an active survey. Using the retrieved Rayleigh wave dispersion curve, we inverted for a high‐resolution 1D S‐wave velocity profile down to a depth of 100 m. The profile shows a “kink” (velocity gradient inflection) at ∼12 m depth, resulting from a change of compaction mechanism. A triangular DAS array is used to investigate directional variation in velocity, which shows no evident variations thus suggesting a lack of azimuthal anisotropy in the firn. Our results demonstrate the potential of using DAS and SI to image the near‐surface and present a new approach to derive S‐velocity profiles from surface wave inversion in firn studies.
Divergent modulation of pain and anxiety by GABAergic neurons in the ventrolateral periaqueductal gray and dorsal raphe
Authors: Xie Linghua , Wu Hui , Chen Qing , Xu Fang , Li Hua , Xu Qi , Jiao Cuicui , Sun Lihong , Ullah Rahim , Chen Xinzhong 
Published: December 2022

AbstractThe ventrolateral periaqueductal gray (vlPAG) collaborates with the dorsal raphe (DR) in pain regulation and emotional response. However, the roles of vlPAG and DR γ-aminobutyric acid (GABA)-ergic neurons in regulating nociception and anxiety are contradictory and poorly understood. Here, we observed that pharmacogenetic co-activation of vlPAG and DR GABAergic (vlPAG-DRGABA+) neurons enhanced sensitivity to mechanical stimulation and promoted anxiety-like behavior in naïve mice. Simultaneous inhibition of vlPAG-DRGABA+ neurons showed adaptive anti-nociception and anti-anxiety effects on mice with inflammatory pain. Notably, vlPAGGABA+ and DRGABA+ neurons exhibited opposing effects on the sensitivity to mechanical stimulation in both naïve state and inflammatory pain. In contrast to the role of vlPAGGABA+ neurons in pain processing, chemogenetic inhibition and chronic ablation of DRGABA+ neurons remarkably promoted nociception while selectively activating DRGABA+ neurons ameliorated inflammatory pain. Additionally, utilizing optogenetic technology, we observed that the pronociceptive effect arising from DRGABA+ neuronal inhibition was reversed by the systemic administration of morphine. Our results collectively provide new insights into the modulation of pain and anxiety by specific midbrain GABAergic subpopulations, which may provide a basis for cell type-targeted or subregion-targeted therapies for pain management.
White matter changes following electroconvulsive therapy for depression: a multicenter ComBat harmonization approach
Authors: Belge Jean-Baptiste , Mulders Peter C. R. , Van Diermen Linda , Schrijvers Didier , Sabbe Bernard , Sienaert Pascal , Oudega Mardien L. , Tendolkar Indira , Dols Annemieke , van Eijndhoven Philip 
Published: December 2022

AbstractECT is proposed to exert a therapeutic effect on WM microstructure, but the limited power of previous studies made it difficult to highlight consistent patterns of change in diffusion metrics. We initiated a multicenter analysis and sought to address whether changes in WM microstructure occur following ECT. Diffusion tensor imaging (DTI) data (n = 58) from 4 different sites were harmonized before pooling them by using ComBat, a batch-effect correction tool that removes inter-site technical variability, preserves inter-site biological variability, and maximizes statistical power. Downstream statistical analyses aimed to quantify changes in Fractional Anisotropy (FA), Mean Diffusivity (MD), Radial Diffusivity (RD) and Axial Diffusivity (AD), by employing whole-brain, tract-based spatial statistics (TBSS). ECT increased FA in the right splenium of the corpus callosum and the left cortico-spinal tract. AD in the left superior longitudinal fasciculus and the right inferior fronto-occipital fasciculus was raised. Increases in MD and RD could be observed in overlapping white matter structures of both hemispheres. At baseline, responders showed significantly smaller FA values in the left forceps major and smaller AD values in the right uncinate fasciculus compared with non-responders. By harmonizing multicenter data, we demonstrate that ECT modulates altered WM microstructure in important brain circuits that are implicated in the pathophysiology of depression. Furthermore, responders appear to present a more decreased WM integrity at baseline which could point toward a specific subtype of patients, characterized by a more altered neuroplasticity, who are especially sensitive to the potent neuroplastic effects of ECT.
Traumatic dental injuries in adults attending a London-based trauma clinic in the UK: a seven-year survey
Authors: Djemal Serpil , Aryafar Mohammadreza , Petrie Aviva , Polycarpou Nectaria , Brady Edward , Niazi Sadia 
Published: December 2022

AbstractIntroduction This survey reports the incidence of traumatic dental injuries in an adult population attending an adult dental trauma clinic in a London teaching hospital.Materials and methods Retrospective data were collected from patients attending an adult dental trauma clinic between 2012 and 2018.Results In total, 1,769 patients attended, with more men seen (1,030; 58.2%) compared to women (739; 41.8%) and this was statistically significant (p <0.05). The most common aetiological factor was an accidental fall (728; 41.15%), followed by assaults (413; 23.35%), bicycle accidents (253; 14.3%), sports injuries (132; 7.46%) and road traffic accidents (84; 4.75%). Lateral luxation (833) was the most common traumatic injury and this was followed by avulsions (362; 17%). Enamel-dentine fractures were the most common type of fracture injury (1,273; 64%).Discussion This retrospective survey attempts to report on the incidence of traumatic dental injuries in a London-based cohort of patients attending a specialised dental trauma clinic. In line with other reports, there were more men than women affected, which is probably attributed to behavioural activities.Conclusion(s) Accidental falls are the most common cause of a traumatic dental injury, lateral luxation was the most common type of displacement injury and enamel-dentine fractures were the most common type of fracture injury.
An integrative approach for exploring the nature of fibroepithelial neoplasms
Authors: Yun Jihui , Heo Woohang , Lee Eun-Shin , Na Deukchae , Kang Wonyoung , Kang Jinjoo , Chae Jeesoo , Lee Dakyung , Lee Woochan , Hwang Jinha , Yoo Tae-Kyung , Hong Bok Sil , Son Hye-Youn , Noh Dong-Young , Lee Charles , Moon Hyeong-Gon , Kim Jong-Il 
Published: December 2022

Abstract
Background
Malignant phyllodes tumour (MPT) is a rare breast malignancy with epithelial and mesenchymal features. Currently, there are no appropriate research models or effective targeted therapeutic approaches for MPT.

Methods
We collected fresh frozen tissues from nine patients with MPT and performed whole-exome and RNA sequencing. Additionally, we established patient-derived xenograft (PDX) models from patients with MPT and tested the efficacy of targeting dysregulated pathways in MPT using the PDX model from one MPT.

Results
MPT has unique molecular characteristics when compared to breast cancers of epithelial origin and can be classified into two groups. The PDX model derived from one patient with MPT showed that the mouse epithelial component increased during tumour growth. Moreover, targeted inhibition of platelet-derived growth factor receptor (PDGFR) and phosphoinositide 3-kinase (PI3K)/mammalian target of rapamycin (mTOR) by imatinib mesylate and PKI-587 showed in vivo tumour suppression effects.

Conclusions
This study revealed the molecular profiles of MPT that can lead to molecular classification and potential targeted therapy, and suggested that the MPT PDX model can be a useful tool for studying the pathogenesis of fibroepithelial neoplasms and for preclinical drug screening to find new therapeutic strategies for MPT.
Inhibition of branched-chain alpha-keto acid dehydrogenase kinase augments the sensitivity of ovarian and breast cancer cells to paclitaxel
Authors: Ibrahim Suad Lateef , Abed Mohammed Najim , Mohamed Gehad , Price Joshua C. , Abdullah Marwan Ibrahim , Richardson Alan 
Published: December 2022

AbstractContextMany cancer patients who initially respond to chemotherapy eventually develop chemoresistance, and to address this, we previously conducted a RNAi screen to identify genes contributing to resistance. One of the hits from the screen was branched-chain α-keto acid dehydrogenase kinase (BCKDK). BCKDK controls the metabolism of branched-chain amino acids (BCAAs) through phosphorylation and inactivation of the branched-chain α-keto acid dehydrogenase complex (BCKDH), thereby inhibiting catabolism of BCAAs.MethodsWe measured the impact on paclitaxel sensitivity of inhibiting BCKDK in ovarian and breast cancer cell lines.ResultsInhibition of BCKDK using siRNA or two chemical inhibitors (BCKDKi) was synergistic with paclitaxel in both breast and ovarian cancer cells. BCKDKi reduced levels of BCAA and the addition of exogenous BCAA suppressed this synergy. BCKDKi inactivated the mTORC1-Aurora pathway, allowing cells to overcame M-phase arrest induced by paclitaxel. In some cases, cells almost completed cytokinesis, then reverted to a single cell, resulting in multinucleate cells.ConclusionBCKDK is an attractive target to augment the sensitivity of cancer cells to paclitaxel.
Targeting USP10 induces degradation of oncogenic ANLN in esophageal squamous cell carcinoma
Authors: Cao Yu-Fei , Xie Lei , Tong Bei-Bei , Chu Man-Yu , Shi Wen-Qi , Li Xiang , He Jian-Zhong , Wang Shao-Hong , Wu Zhi-Yong , Deng Dan-Xia , Zheng Ya-Qi , Li Zhi-Mao , Xu Xiu-E , Liao Lian-Di , Cheng Yin-Wei , Li Li-Yan , Xu Li-Yan , Li En-Min 
Published: December 2022

AbstractAnillin (ANLN) is a mitosis-related protein that promotes contractile ring formation and cytokinesis, but its cell cycle-dependent degradation mechanisms in cancer cells remain unclear. Here, we show that high expression of ANLN promotes cytokinesis and proliferation in esophageal squamous cell carcinoma (ESCC) cells and is associated with poor prognosis in ESCC patients. Furthermore, the findings of the study showed that the deubiquitinating enzyme USP10 interacts with ANLN and positively regulates ANLN protein levels. USP10 removes the K11- and K63-linked ubiquitin chains of ANLN through its deubiquitinase activity and prevents ANLN ubiquitin-mediated degradation. Importantly, USP10 promotes contractile ring assembly at the cytokinetic furrow as well as cytokinesis by stabilizing ANLN. Interestingly, USP10 and the E3 ubiquitin ligase APC/C co-activator Cdh1 formed a functional complex with ANLN in a non-competitive manner to balance ANLN protein levels. In addition, the macrolide compound FW-04-806 (F806), a natural compound with potential for treating ESCC, inhibited the mitosis of ESCC cells by targeting USP10 and promoting ANLN degradation. F806 selectively targeted USP10 and inhibited its catalytic activity but did not affect the binding of Cdh1 to ANLN and alters the balance of the USP10-Cdh1-ANLN complex. Additionally, USP10 expression was positively correlated with ANLN level and poor prognosis of ESCC patients. Overall, targeting the USP10-ANLN axis can effectively inhibit ESCC cell-cycle progression.
Optical coherence tomography imaging biomarkers associated with neovascular age-related macular degeneration: a systematic review
Authors: Hanson Rachel L. W. , Airody Archana , Sivaprasad Sobha , Gale Richard P. 
Published: December 2022

AbstractThe aim of this systematic literature review is twofold, (1) detail the impact of retinal biomarkers identifiable via optical coherence tomography (OCT) on disease progression and response to treatment in neovascular age-related macular degeneration (nAMD) and (2) establish which biomarkers are currently identifiable by artificial intelligence (AI) models and the utilisation of this technology. Following the PRISMA guidelines, PubMed was searched for peer-reviewed publications dated between January 2016 and January 2022. Population: Patients diagnosed with nAMD with OCT imaging. Settings: Comparable settings to NHS hospitals. Study designs: Randomised controlled trials, prospective/retrospective cohort studies and review articles. From 228 articles, 130 were full-text reviewed, 50 were removed for falling outside the scope of this review with 10 added from the author’s inventory, resulting in the inclusion of 90 articles. From 9 biomarkers identified; intraretinal fluid (IRF), subretinal fluid, pigment epithelial detachment, subretinal hyperreflective material (SHRM), retinal pigmental epithelial (RPE) atrophy, drusen, outer retinal tabulation (ORT), hyperreflective foci (HF) and retinal thickness, 5 are considered pertinent to nAMD disease progression; IRF, SHRM, drusen, ORT and HF. A number of these biomarkers can be classified using current AI models. Significant retinal biomarkers pertinent to disease activity and progression in nAMD are identifiable via OCT; IRF being the most important in terms of the significant impact on visual outcome. Incorporating AI into ophthalmology practice is a promising advancement towards automated and reproducible analyses of OCT data with the ability to diagnose disease and predict future disease conversion.Systematic Review Registration: This review has been registered with PROSPERO (registration ID: CRD42021233200).