bluuebunny/crossref_metadata_2025_split huggingface dataset:
Logistic regression analysis of risk factors for post-operative morbidities in parotidectomy: a retrospective cohort study
Authors: Lau Kin Lun , Ouma Luke , Whitehead Lou , Mukherjee Aritra , Cocks Helen 
Published: May 2024

AbstractObjectiveIn this study, we reviewed the post-operative complications in parotidectomy and its association with various patient, tumour and surgical factors.MethodsAll parotidectomies performed in our regional unit between 2013 to 2020 were identified. Electronic medical record and clinic letters were reviewed for any post-operative complications. A logistical regression model was applied on data collected on twelve patient factors, three tumour factors and four surgical factors.Results379 cases of parotidectomy were identified in the eight-year study period. 55% (n = 210) were documented with nine types of post-operative complications. This study identified age >80 (odds ratio = 1.89, p = 0.018), active smoker (odds ratio = 0.94, p = 0.018), total parotidectomy approach (odds ratio = 1.77, p = 0.012), longer operation time (odds ratio = 0.006, p = 0.015) and hypertension (odds ratio = 1.23, p = 0.019) were associated with a higher risk of facial nerve palsy. Predictive factors were also identified for auricular nerve numbness and Frey syndrome.ConclusionThis study revealed the incidences and potential predictors of post-operative complications in parotidectomy. Notably, the grade of operator (consultants/ registrars) had no effect on the possibility of adverse outcome, reflecting patient safety was not compromised for training. These findings can be used in patient counselling and guide treatment options to minimise post-operative complications.
Carrying the Cross: Popular Christian Communities and Religious Protest during Pinochet's Dictatorship, 1973–90
Authors: Jashari Denisa 
Published: May 2024

AbstractThis article examines the activities of Comunidades Cristianas Populares (Popular Christian Communities, CCPs) in marginalised neighbourhoods of Chile's capital, Santiago, during the Augusto Pinochet dictatorship. It traces how the CCPs emerged, thrived and then stopped, to showcase the uneasy co-existence between liberationist practices espoused by popular sectors and traditional ecclesiastical paradigms until their breaking point in 1990. In doing so, I argue that religious ritual is an important form of social protest against authoritarianism. Public processions exposed tensions between the Church and state, within the Church's diverse constituents, as well as between Christian community members and left-wing party militants. In the late 1980s, as the Church increasingly retreated from liberation theology, the dictatorship successfully co-opted social organisations and rendered religious rituals largely ineffective as a form of social protest.
Repairing Historic Injustice: The Return of Indigenous Peoples’ Ancestral Human Remains Through Transitional Justice
Authors: Chechi Alessandro 
Published: May 2024

AbstractThis article focuses on the ancestral human remains of Indigenous peoples that were taken by European invaders during the colonial era. It begins by considering the notion of human remains. It then describes the two types of heritage that result from the removal of human remains: the tangible heritage made of the remains exhibited or stored in the museums or universities of former colonial States, and the intangible heritage made of the collective memories of the surviving communities and their descendants about the removal (and the absence) of the stolen remains. The article next examines the role of national and international laws with respect to the restitution of human remains by exploring the concept of transitional justice. This article argues that transitional justice can facilitate the meaningful repatriation of ancestral human remains and hence the healing of past injustice.
Reconstruction of Wide Swath Significant Wave Height From Quasi‐Synchronous Observations of Multisource Satellite Sensors
Authors: Yang Yuchao , Qi Jinpeng , Yan Qiushuang , Fan Chenqing , Zhang Rui , Zhang Jie 
Published: May 2024

AbstractGlobal sea wave monitoring is of utmost importance for tasks such as analysis of ocean climate change, offshore fisheries, and early warning of marine disasters. Significant wave height (SWH) is one of the most vital and widely used metrics for measuring sea waves in marine research. Hence, obtaining high precision and extensive coverage measurements of SWH is of great significance for comprehensive sea wave studies. A data set is constructed by combining wave spectrometer and scatterometer data from China‐French Ocean Satellite, synthetic aperture radar (SAR) wave mode data from Sentinel‐1, and altimeter data from Jason‐3 and HY‐2B through space‐time matching method. The multi‐sources integrated data set is used to complete the reconstruction of the wide swath SWH. A model based on stacked autoencoder and deep neural network (SAE‐DNN) is developed. The SWH reconstructed by the model is evaluated with the training‐independent test set. The results demonstrate that the accuracy of the SAE‐DNN model is significantly improved by incorporating SAR joint quasi‐synchronous observations and the root mean square error can reach 0.217 m, which is comparable to the SWH measured by altimeter and highlights the effectiveness and reliability of the model in accurately reconstructing SWH. We further examine and analysis the distance variations between SWH reconstruction sites and Surface Wave Investigation and Monitoring observations, the influence of different SAR features, and the influence of sea state, highlighting the benefits of incorporating SAR data into SAE‐DNN model.
Effect of Nucleation Heterogeneity on Mineral Precipitation in Confined Environments
Authors: Yang Fengchang , Guan Dongshi , Starchenko Vitalii , Yuan Ke , Stack Andrew G. , Ling Bowen 
Published: May 2024

AbstractThe formation of new mineral phases in confined environments, especially in porous media, is crucial for various geological processes like mineralization and diagenesis. The nucleation and precipitation of minerals are initiated at the microscale through fluid‐rock interaction, where dissolution of primary phases leads to supersaturated conditions and nucleation and growth of secondary ones. Previous research has focused primarily on either precipitation or nucleation, without fully exploring their combined impact. Our study introduces a computational framework that integrates classical nucleation theory with the micro‐continuum method. We validated our model by comparing with experiments, and discovered that different surface nucleation rate changes the mode of precipitation from a preferential to uniform precipitate textures. Furthermore, our study uncovered that the conventional deterministic precipitation method tends to underestimate the permeability of the porous matrix. In contrast, the new framework significantly improves model accuracy by incorporating preferential precipitation and heterogeneous nucleation.
Contribution of Smoke Aerosols From Wildfires in Indo‐China Peninsula to the Western Pacific Ocean Carbon Sink
Authors: Liu Wenjing , Wang Wencai , Han Yongqing , Li Yundan , He Zhizheng , Zhao Zhixin , Sheng Lifang 
Published: May 2024

AbstractSmoke aerosols from wildfires play a vital role in marine ecosystems and the ocean carbon cycle. This study analyzed a severe wildfires incident occurred in the Indo‐China Peninsula on 26 March 2019, and assessed its impact on ocean carbon sink. The satellite observations showed that the wildfires covered an area of about 56% of the entire peninsula, burning an area of 1.17 × 106 km2. Consequently, the wildfires discharged about 0.43 × 109 kg carbon. Moreover, a substantial amount of smoke released by severe wildfires was carried downstream by the wind and reached the western Pacific Ocean within 2 days. These smoke aerosols contribute to the ocean carbon sink through the mechanisms of the biological pump and their own carbon deposition. Model simulation results showed smoke aerosols contribute 6.44 × 104 kg black carbon to surface ocean by their own carbon deposition. Moreover, during the period of smoke aerosol's deposition, the flourishing growth of phytoplankton resulted in an increased carbon export of 0.25 ± 0.09 × 109 kg carbon (the biological pump mechanism), which represented approximately 57.97% ± 20.30% of the carbon emissions originating from the wildfire‐affected source region. Our research showed a positive impact of large wildfires on the ocean carbon sink, indicating the potential of smoke aerosols to alleviate the climate pressures resulting from carbon dioxide released by wildfires through improving the capacity of ocean carbon sink.
The Impact of Vertical Plasma Motion on the Evolution of Predawn Equatorial Plasma Bubbles on the Dayside
Authors: Kil Hyosub , Huba Joseph D. , Paxton Larry J. 
Published: May 2024

AbstractThis study investigates the impact of vertical ionospheric drift during daytime on the evolution of predawn equatorial plasma bubbles by conducting model simulations using “Sami3 is Another Model of the Ionosphere.” The upward drift of the ionosphere transports bubbles to higher altitudes, where their lifetime is set by the atomic oxygen photoionization rate. While the bubbles generated at predawn persist into dayside, the bubbles generated shortly after sunset diminish before sunrise. Therefore, post‐sunset bubbles do not contribute to daytime electron density irregularities. Bubbles maintain their field‐aligned characteristics throughout the daytime regardless of the vertical ionospheric drift. This property allows bubbles to exist near the magnetic equator despite poleward plasma transport by the fountain process. The shift of irregularity concentration to higher latitudes over time in satellite observations is explained by the combined effect of transport of bubbles to higher altitudes and rapid refilling of depletions near the magnetic equator.
Continuously improving outcome over time after second allogeneic stem cell transplantation in relapsed acute myeloid leukemia: an EBMT registry analysis of 1540 patients
Authors: Schmälter Ann-Kristin , Ngoya Maud , Galimard Jacques-Emmanuel , Bazarbachi Ali , Finke Jürgen , Kröger Nicolaus , Bornhäuser Martin , Stelljes Matthias , Stölzel Friedrich , Tischer Johanna , Schroeder Thomas , Dreger Peter , Blau Igor-Wolfgang , Savani Bipin , Giebel Sebastian , Esteve Jordi , Nagler Arnon , Schmid Christoph , Ciceri Fabio , Mohty Mohamad 
Published: May 2024

AbstractSecond allogeneic stem cell transplantation (alloSCT2) is among the most effective treatments for acute myeloid leukemia (AML) relapse after first alloSCT (alloSCT1). Long-term EBMT registry data were used to provide large scale, up-to-date outcome results and to identify factors for improved outcome. Among 1540 recipients of alloSCT2, increasing age, better disease control and performance status before alloSCT2, more use of alternative donors and higher conditioning intensity represented important trends over time. Between the first (2000–2004) and last (2015–2019) period, two-year overall and leukemia-free survival (OS/LFS) increased considerably (OS: 22.5–35%, LFS: 14.5–24.5%). Cumulative relapse incidence (RI) decreased from 64% to 50.7%, whereas graft-versus-host disease and non-relapse mortality (NRM) remained unchanged. In multivariable analysis, later period of alloSCT2 was associated with improved OS/LFS (HR = 0.47/0.53) and reduced RI (HR = 0.44). Beyond, remission duration, disease stage and patient performance score were factors for OS, LFS, RI, and NRM. Myeloablative conditioning for alloSCT2 decreased RI without increasing NRM, leading to improved OS/LFS. Haploidentical or unrelated donors and older age were associated with higher NRM and inferior OS. In summary, outcome after alloSCT2 has continuously improved over the last two decades despite increasing patient age. The identified factors provide clues for the optimized implementation of alloSCT2.
A novel long non-coding RNA MIR4500HG003 promotes tumor metastasis through miR-483-3p-MMP9 axis in triple-negative breast cancer
Authors: Lin Wen-Der , Chang Chia-Hao , Pan Jhih-Kai , Lin Forn-Chia , Chen Yu-Chia , Chen Ya-Jyun , Wang Po-Shun , Hong Wei-Qiao , Chen Sheng-Yuan , Lin Cheng-Han , Kuo Yao-Lung , Chung Wei-Pang , Cheng Hui-Chuan , Hsiao Michael , Yang Chia-Ning , Lu Pei-Jung 
Published: May 2024

AbstractBreast cancer (BC) is the most common cancer and the leading cause of cancer-related deaths in women worldwide. The 5-year survival rate is over 90% in BC patients, but once BC cells metastasis into distal organs, it is dramatically decreasing to less than 30%. Especially, triple-negative breast cancer (TNBC) patients usually lead to poor prognosis and survival because of metastasis. Understanding the underline mechanisms of TNBC metastasis is a critical issue. Non-coding RNAs, including of lncRNAs and microRNAs, are non-protein-coding transcripts and have been reported as important regulators in TNBC metastasis. However, the underline mechanisms for non-coding RNAs regulating TNBC metastasis remain largely unclear. Here, we found that lncRNA MIR4500HG003 was highly expressed in highly metastatic MDA-MB-231 TNBC cells and overexpression of MIR4500HG003 enhanced metastasis ability in vitro and in vivo and promoted MMP9 expression. Furthermore, we found MIR4500HG003 physically interacted with miR-483-3p and reporter assay showed miR-483-3p attenuated MMP9 expression. Importantly, endogenous high expressions of MIR4500HG003 were correlated with tumor recurrence in TNBC patients with tumor metastasis. Taken together, our findings suggested that MIR4500HG003 promotes metastasis of TNBC through miR-483-3p-MMP9 signaling axis and may be used as potential prognostic marker for TNBC patients.
Cytotoxic sigma-2 ligands trigger cancer cell death via cholesterol-induced-ER-stress
Authors: Takchi Rony , Prudner Bethany C. , Gong Qingqing , Hagi Takaomi , Newcomer Kenneth F. , Jin Linda X. , Vangveravong Suwanna , Van Tine Brian A. , Hawkins William G. , Spitzer Dirk 
Published: May 2024

AbstractSigma-2-ligands (S2L) are characterized by high binding affinities to their cognate sigma-2 receptor, overexpressed in rapidly proliferating tumor cells. As such, S2L were developed as imaging probes (ISO1) or as cancer therapeutics, alone (SV119 [C6], SW43 [C10]) and as delivery vehicles for cytotoxic drug cargoes (C6-Erastin, C10-SMAC). However, the exact mechanism of S2L-induced cytotoxicity remains to be fully elucidated. A series of high-affinity S2L were evaluated regarding their cytotoxicity profiles across cancer cell lines. While C6 and C10 displayed distinct cytotoxicities, C0 and ISO1 were essentially non-toxic. Confocal microscopy and lipidomics analysis in cellular and mouse models revealed that C10 induced increases in intralysosomal free cholesterol and in cholesterol esters, suggestive of unaltered intracellular cholesterol trafficking. Cytotoxicity was caused by cholesterol excess, a phenomenon that contrasts the effects of NPC1 inhibition. RNA-sequencing revealed gene clusters involved in cholesterol homeostasis and ER stress response exclusively by cytotoxic S2L. ER stress markers were confirmed by qPCR and their targeted modulation inhibited or enhanced cytotoxicity of C10 in a predicted manner. Moreover, C10 increased sterol regulatory element-binding protein 2 (SREBP2) and low-density lipoprotein receptor (LDLR), both found to be pro-survival factors activated by ER stress. Furthermore, inhibition of downstream processes of the adaptive response to S2L with simvastatin resulted in synergistic treatment outcomes in combination with C10. Of note, the S2L conjugates retained the ER stress response of the parental ligands, indicative of cholesterol homeostasis being involved in the overall cytotoxicity of the drug conjugates. Based on these findings, we conclude that S2L-mediated cell death is due to free cholesterol accumulation that leads to ER stress. Consequently, the cytotoxic profiles of S2L drug conjugates are proposed to be enhanced via concurrent ER stress inducers or simvastatin, strategies that could be instrumental on the path toward tumor eradication.
The role of circular RNAs in regulating resistance to cancer immunotherapy: mechanisms and implications
Authors: Ma Yu , Wang Ting , Zhang Xudong , Wang Pinghan , Long Fangyi 
Published: May 2024

AbstractCancer immunotherapy has rapidly transformed cancer treatment, yet resistance remains a significant hurdle, limiting its efficacy in many patients. Circular RNAs (circRNAs), a novel class of non-coding RNAs, have emerged as pivotal regulators of gene expression and cellular processes. Increasing evidence indicates their involvement in modulating resistance to cancer immunotherapy. Notably, certain circRNAs function as miRNA sponges or interact with proteins, influencing the expression of immune-related genes, including crucial immune checkpoint molecules. This, in turn, shapes the tumor microenvironment and significantly impacts the response to immunotherapy. In this comprehensive review, we explore the evolving role of circRNAs in orchestrating resistance to cancer immunotherapy, with a specific focus on their mechanisms in influencing immune checkpoint gene expression. Additionally, we underscore the potential of circRNAs as promising therapeutic targets to augment the effectiveness of cancer immunotherapy. Understanding the role of circRNAs in cancer immunotherapy resistance could contribute to the development of new therapeutic strategies to overcome resistance and improve patient outcomes.
Intranasal PAMAM-G3 scavenges cell-free DNA attenuating the allergic airway inflammation
Authors: Chen Xiumin , Chen Changhui , Tu Zhaoxu , Guo Zeling , Lu Tong , Li Jian , Wen Yihui , Chen Dehua , Lei Wenbin , Wen Weiping , Li Hang 
Published: May 2024

AbstractAllergic airway inflammation (AAI), including allergic rhinitis (AR) and allergic asthma, is driven by epithelial barrier dysfunction and type 2 inflammation. However, the underlying mechanism remains uncertain and available treatments are constrained. Consequently, we aim to explore the role of cell-free DNA (cfDNA) in AAI and assess the potential alleviating effects of cationic polymers (CPs) through cfDNA elimination. Levels of cfDNA were evaluated in AR patients, allergen-stimulated human bronchial epithelium (BEAS-2B cells) and primary human nasal epithelium from both AR and healthy control (HC), and AAI murine model. Polyamidoamine dendrimers-generation 3 (PAMAM-G3), a classic type of cationic polymers, were applied to investigate whether the clearance of cfDNA could ameliorate airway epithelial dysfunction and inhibit AAI. The levels of cfDNA in the plasma and nasal secretion from AR were higher than those from HC (P < 0.05). Additionally, cfDNA levels in the exhaled breath condensate (EBC) were positively correlated with Interleukin (IL)-5 levels in EBC (R = 0.4191, P = 0.0001). Plasma cfDNA levels negatively correlated with the duration of allergen immunotherapy treatment (R = −0.4297, P = 0.006). Allergen stimulated cfDNA secretion in vitro (P < 0.001) and in vivo (P < 0.0001), which could be effectively scavenged with PAMAM-G3. The application of PAMAM-G3 inhibited epithelial barrier dysfunction in vitro and attenuated the development of AAI in vivo. This study elucidates that cfDNA, a promising biomarker for monitoring disease severity, aggravates AAI and the application of intranasal PAMAM-G3 could potentially be a novel therapeutic intervention for AAI.
Universal scaling law for chiral antiferromagnetism
Authors: Xu Shijie , Dai Bingqian , Jiang Yuhao , Xiong Danrong , Cheng Houyi , Tai Lixuan , Tang Meng , Sun Yadong , He Yu , Yang Baolin , Peng Yong , Wang Kang L. , Zhao Weisheng 
Published: May 2024

AbstractThe chiral antiferromagnetic (AFM) materials, which have been widely investigated due to their rich physics, such as non-zero Berry phase and topology, provide a platform for the development of antiferromagnetic spintronics. Here, we find two distinctive anomalous Hall effect (AHE) contributions in the chiral AFM Mn3Pt, originating from a time-reversal symmetry breaking induced intrinsic mechanism and a skew scattering induced topological AHE due to an out-of-plane spin canting with respect to the Kagome plane. We propose a universal AHE scaling law to explain the AHE resistivity ($${{\rho }}_{AH}$$

ρ

A
H

) in this chiral magnet, with both a scalar spin chirality (SSC)-induced skew scattering topological AHE term, $${a}_{sk}$$

a

s
k

and non-collinear spin-texture induced intrinsic anomalous Hall term, $${{b}}_{{in}}$$

b

i
n

. We found that $${{{a}}}_{{{sk}}}$$

a

s
k

and $${{{b}}}_{{{in}}}$$

b

i
n

can be effectively modulated by the interfacial electron scattering, exhibiting a linear relation with the inverse film thickness. Moreover, the scaling law can explain the anomalous Hall effect in various chiral magnets and has far-reaching implications for chiral-based spintronics devices.
A sparse quantized hopfield network for online-continual memory
Authors: Alonso Nicholas , Krichmar Jeffrey L. 
Published: May 2024

AbstractAn important difference between brains and deep neural networks is the way they learn. Nervous systems learn online where a stream of noisy data points are presented in a non-independent, identically distributed way. Further, synaptic plasticity in the brain depends only on information local to synapses. Deep networks, on the other hand, typically use non-local learning algorithms and are trained in an offline, non-noisy, independent, identically distributed setting. Understanding how neural networks learn under the same constraints as the brain is an open problem for neuroscience and neuromorphic computing. A standard approach to this problem has yet to be established. In this paper, we propose that discrete graphical models that learn via an online maximum a posteriori learning algorithm could provide such an approach. We implement this kind of model in a neural network called the Sparse Quantized Hopfield Network. We show our model outperforms state-of-the-art neural networks on associative memory tasks, outperforms these networks in online, continual settings, learns efficiently with noisy inputs, and is better than baselines on an episodic memory task.
Synthetic intrinsically disordered protein fusion tags that enhance protein solubility
Authors: Tang Nicholas C. , Su Jonathan C. , Shmidov Yulia , Kelly Garrett , Deshpande Sonal , Sirohi Parul , Peterson Nikhil , Chilkoti Ashutosh 
Published: May 2024

AbstractWe report the de novo design of small (<20 kDa) and highly soluble synthetic intrinsically disordered proteins (SynIDPs) that confer solubility to a fusion partner with minimal effect on the activity of the fused protein. To identify highly soluble SynIDPs, we create a pooled gene-library utilizing a one-pot gene synthesis technology to create a large library of repetitive genes that encode SynIDPs. We identify three small (<20 kDa) and highly soluble SynIDPs from this gene library that lack secondary structure and have high solvation. Recombinant fusion of these SynIDPs to three known inclusion body forming proteins rescue their soluble expression and do not impede the activity of the fusion partner, thereby eliminating the need for removal of the SynIDP tag. These findings highlight the utility of SynIDPs as solubility tags, as they promote the soluble expression of proteins in E. coli and are small, unstructured proteins that minimally interfere with the biological activity of the fused protein.