bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development of mobile phone-based dietary data collection applications in pregnant women and infants for the M-SAKHI trial
Authors: Bhaise Shilpa , Patel Archana , Dhurde Varsha , Almeida Michelle , Do Tran , Muthayya Sumithra , Dibley Michael 
Published: December 2023

Abstract
In nutritional epidemiological studies, it is imperative to collect high-quality data to ensure accurate dietary assessment. However, dietary data collection using traditional paper forms has several limitations that may compromise data quality. The aim of this study was to propose novel methods to design and develop software applications (Apps) for dietary data collection to assess the nutritional status of pregnant women and infants. This study is part of the M-SAKHI (Mobile-Solutions for Aiding Knowledge for Health Improvement) cluster randomised controlled trial (cRCT) implemented in central India. Three tablet-based software Apps were developed in this study: the ACEC (Automated Coding and Energy Calculation) App to establish a generic cooked food recipe database, the FFQ (Food Frequency Questionnaire), and the IDR (24 h Infant Dietary Recall) Apps to collect dietary data from pregnant women and their infants from rural area of Bhandara and Nagpur districts. Regional food lists, recipes, and portion resource kits were developed to support the data collection using the Apps. In conclusion, the Apps were user-friendly, required minimal prior training, had built-in validation checks for erroneous data entry and provided automated calculations. The Apps were successfully deployed in low-resource rural settings to accurately collect high-quality regional cooked food data and individual-level dietary data of pregnant women and their infants.
Finding a balance: resilience in older adults after depression in later life
Authors: Glas Lieneke , Rhebergen Didi , Widdershoven Guy , Huisman Martijn , Kok Almar A. L. 
Published: December 2023

Abstract
Older adults who have had a major depressive disorder (MDD) have a high risk of relapse. Although risk factors for depression have been researched extensively, less is known about protective factors, and what experiences might strengthen subsequent resilience and help to prevent relapse. Therefore, this qualitative study explored factors of resilience in older adults who recovered from MDD and did not relapse across at least six years. Twenty-five semi-structured interviews were held with older adults aged 73–85 years who participated in the Netherlands Study of Depression in Older Persons from 2008 to 2014 and were re-interviewed for the present study in 2020–2021. Participants were defined as resilient based on having an MDD diagnosis at baseline but not on two- and six-year follow-up. We used grounded theory coding techniques and thematic analysis to identify factors contributing to resilience. Factors contributing to resilience included: taking agency; receiving social support and engaging in social activities; doing activities individually; and managing thought processes. Resilience after late-life depression appeared to be a dynamic process involving internal and external factors, including finding a balance between rest and activity, between taking initiative and receiving support by others, and between accepting negative emotions and ignoring negative thoughts. Additionally, the ability to learn from depression shows that resilience is not only about avoiding psychopathology, but also about the recovery process and preventing relapse. These findings highlight the need for research and interventions to focus on understanding and influencing the dynamics underlying resilience.
GALOIS REPRESENTATIONS FOR EVEN GENERAL SPECIAL ORTHOGONAL GROUPS
Authors: Kret Arno , Shin Sug Woo 
Published: December 2023

AbstractWe prove the existence of
$\mathrm {GSpin}_{2n}$
-valued Galois representations corresponding to cohomological cuspidal automorphic representations of certain quasi-split forms of
${\mathrm {GSO}}_{2n}$
under the local hypotheses that there is a Steinberg component and that the archimedean parameters are regular for the standard representation. This is based on the cohomology of Shimura varieties of abelian type, of type
$D^{\mathbb {H}}$
, arising from forms of
${\mathrm {GSO}}_{2n}$
. As an application, under similar hypotheses, we compute automorphic multiplicities, prove meromorphic continuation of (half) spin L-functions and improve on the construction of
${\mathrm {SO}}_{2n}$
-valued Galois representations by removing the outer automorphism ambiguity.
COUNTING DISCRETE, LEVEL-
$1$
, QUATERNIONIC AUTOMORPHIC REPRESENTATIONS ON
$G_2$
Authors: Dalal Rahul 
Published: December 2023

AbstractQuaternionic automorphic representations are one attempt to generalize to other groups the special place holomorphic modular forms have among automorphic representations of
$\mathrm {GL}_2$
. Here, we use ‘hyperendoscopy’ techniques to develop a general trace formula and understand them on an arbitrary group. Then we specialize this general formula to study quaternionic automorphic representations on the exceptional group
$G_2$
, eventually getting an analog of the Eichler–Selberg trace formula for classical modular forms. We finally use this together with some techniques of Chenevier, Renard and Taïbi to compute dimensions of spaces of level-
$1$
quaternionic representations. On the way, we prove a Jacquet–Langlands-style result describing them in terms of classical modular forms and automorphic representations on the compact-at-infinity form
$G_2^c$
.The main technical difficulty is that the quaternionic discrete series that quaternionic automorphic representations are defined in terms of do not satisfy a condition of being ‘regular’. A real representation theory argument shows that regularity miraculously does not matter for specifically the case of quaternionic discrete series.We hope that the techniques and shortcuts highlighted in this project are of interest in other computations about discrete-at-infinity automorphic representations on arbitrary reductive groups instead of just classical ones.
PARACONSISTENT AND PARACOMPLETE ZERMELO–FRAENKEL SET THEORY
Authors: KHOMSKII YURII , ODDSSON HRAFN VALTÝR 
Published: December 2023

AbstractWe present a novel treatment of set theory in a four-valued paraconsistent and paracomplete logic, i.e., a logic in which propositions can be both true and false, and neither true nor false. Our approach is a significant departure from previous research in paraconsistent set theory, which has almost exclusively been motivated by a desire to avoid Russell’s paradox and fulfil naive comprehension. Instead, we prioritise setting up a system with a clear ontology of non-classical sets, which can be used to reason informally about incomplete and inconsistent phenomena, and is sufficiently similar to
${\mathrm {ZFC}}$
to enable the development of interesting mathematics.We propose an axiomatic system
${\mathrm {BZFC}}$
, obtained by analysing the
${\mathrm {ZFC}}$
-axioms and translating them to a four-valued setting in a careful manner, avoiding many of the obstacles encountered by other attempted formalizations. We introduce the anti-classicality axiom postulating the existence of non-classical sets, and prove a surprising results stating that the existence of a single non-classical set is sufficient to produce any other type of non-classical set.Our theory is naturally bi-interpretable with
${\mathrm {ZFC}}$
, and provides a philosophically satisfying view in which non-classical sets can be seen as a natural extension of classical ones, in a similar way to the non-well-founded sets of Peter Aczel [1].Finally, we provide an interesting application concerning Tarski semantics, showing that the classical definition of the satisfaction relation yields a logic precisely reflecting the non-classicality in the meta-theory.
Using Large Ensembles to Examine Historical and Projected Changes in Record‐Breaking Summertime Temperatures Over the Contiguous United States
Authors: McHugh Colleen. E. , Delworth Thomas L. , Cooke William , Jia Liwei 
Published: December 2023

AbstractThe frequency and intensity of heat extremes over the United States have increased since the mid‐20th century and are projected to increase with additional anthropogenic greenhouse gas forcing. We define heat extremes as summertime (June–August) daily maximum 2m temperatures that exceed historical records. We examine characteristics of historical and near‐future heat extremes using observations and past and future projections using 100 ensemble members from three coupled global climate models large ensemble simulations. We find that the large ensembles capture the trend and variability of heat extremes over the period 2006–2020 relative to the 1991–2005 climatology but overestimate the frequency at which the heat extremes occur. In future warming scenarios, heat extremes continue to increase over the next 30 years, with high amplitude records in the Northwest and Central US. After 2050, we find there is a spread in the frequency of heat extremes that is dependent on the emissions scenario, with a high emissions until mid‐century followed by a high mitigation scenario showing a decrease in heat extremes by the end of the century. Although the frequency of future heat extremes is likely overestimated in the large ensembles, they are still a powerful tool for researching extreme temperatures in the climate system.
Characterization of Bio‐Optical Anomalies in the Kerguelen Region, Southern Indian Ocean: A Study Based on Shipborne Sampling and BioGeoChemical‐Argo Profiling Floats
Authors: Uitz J. , Roesler C. , Organelli E. , Claustre H. , Penkerc'h C. , Drapeau S. , Leymarie E. , Poteau A. , Schmechtig C. , Dimier C. , Ras J. , Xing X. , Blain S. 
Published: December 2023

AbstractThe Southern Ocean (SO) is known for its atypical bio‐optical regime. This complicates the interpretation of proxies measured from satellite and in situ platforms equipped with optical sensors, which occupy an important niche for monitoring the vast and remote SO. A ship‐based field study in concert with time series observations from BioGeoChemical‐Argo (BGC‐Argo) profiling floats were used to investigate spatial and temporal variations in bio‐optical relationships in the open ocean waters surrounding the Kerguelen Plateau in the Indian sector of the SO. Compared to other regions with similar chlorophyll concentrations, chlorophyll‐specific phytoplankton absorption in the blue waveband presented a consistent negative anomaly. The anomaly was uniform over deep mixed layers and correlated with phytoplankton size, photoacclimation and atypically high concentrations of fucoxanthin. The BGC‐Argo observation‐based proxies revealed that the blue absorption anomaly increased with chlorophyll concentration both spatially and temporally and, while particularly pronounced in the naturally iron‐fertilized waters, was also found in the High Nutrient Low Chlorophyll region. While phytoplankton size was an important driver of the anomaly, photoacclimation associated with self‐shading of phytoplankton cells was also involved during intense booms. The backscattering coefficient exhibited negative and positive anomalies in the low and high biomass regimes, respectively. The large positive anomaly in high biomass regimes was attributed to the variable non‐algal particles characteristics associated with a relatively high production of bloom by‐products. With clear understanding of the bio‐optical anomalies, BGC‐Argo floats stand as unique tools for monitoring the bio‐optical spatio‐temporal complexity of the SO.
Molecular and Elemental Tracers‐Based Receptor Modeling of PM2.5 in Suburban Hong Kong With Hourly Time‐Scale Air Quality Considerations
Authors: Wang Shan , Wang Qiongqiong , Cheng Yuk Ying , Chen Hanzhe , Zhang Zijing , Li Jinjian , Feng Xin , Wang Zhe , Yu Jian Zhen 
Published: December 2023

AbstractContinuing control efforts in recent decade have notably brought down fine‐particulate‐matter (PM2.5) pollution to compliance with the annual average air quality objective in Hong Kong. However, short‐term (several hours to few days) PM2.5 pollution sporadically occurred in winter and has become a major focus of attention, calling research in characterizing sources and their variations at hourly timescale. This study reports hourly measurements of PM2.5 and its chemical speciation, including molecular and elemental tracers in suburban Hong Kong in 2020 winter. Hourly PM2.5 was 20.3 ± 7.33 μg m−3, dominated by organics and sulfate. We deployed tracer‐based source apportionment using positive matrix factorization, which resolved six secondary and seven primary sources. Sulfate‐rich and nitrate‐rich factors were the leading PM2.5 contributors. Variation in source contributions under different air masses revealed the Pearl River Delta region and coastal areas to the north are main origins. Elevation in secondary sources was the driving factor in causing high PM2.5 polluted hours. During Chinese New Year holiday, firework emissions partially offset the reductions in anthropogenic sources, even leading to an increased PM2.5. Hour‐by‐hour examination of most polluted and firework event hours enhanced understanding on dynamic variations of haze and firework burning evolution. The mass concentration of firework‐derived PM2.5 was notably lower under “prohibition” than “restriction” control scenario (avg. 3.5 vs. 8.4 μg m−3). Our results highlight the effectiveness of tracer‐based source apportionment in revealing hourly PM2.5 source variations and the necessity of regional joint management to lessen the severity of episodic PM2.5 pollution and health risks.
Bioinspired magnetic cilia: from materials to applications
Authors: Park Seongjin , Choi Geonjun , Kang Minsu , Kim Woochan , Kim Jangho , Jeong Hoon Eui 
Published: December 2023

AbstractMicroscale and nanoscale cilia are ubiquitous in natural systems where they serve diverse biological functions. Bioinspired artificial magnetic cilia have emerged as a highly promising technology with vast potential applications, ranging from soft robotics to highly precise sensors. In this review, we comprehensively discuss the roles of cilia in nature and the various types of magnetic particles utilized in magnetic cilia; additionally, we explore the top-down and bottom-up fabrication techniques employed for their production. Furthermore, we examine the various applications of magnetic cilia, including their use in soft robotics, droplet and particle control systems, fluidics, optical devices, and sensors. Finally, we present our conclusions and the future outlook for magnetic cilia research and development, including the challenges that need to be overcome and the potential for further integration with emerging technologies.
A novel microtubule inhibitor promotes tumor ferroptosis by attenuating SLC7A11/GPX4 signaling
Authors: Ning Nannan , Shang Ziqi , Liu Zhiping , Xia Zhizhou , Li Yang , Ren Ruibao , Wang Hongmei , Zhang Yi 
Published: December 2023

AbstractMP-HJ-1b is a novel microtubule inhibitor that we designed and reported previously. Ferroptosis is a newly identified type of nonapoptotic cell death induced by ferrous catalysis and lipid peroxidation. Here, transcriptomics, proteomics, and molecular docking analyses were combined to explore the novel effects of MP-HJ-1b on tumors. Both omics analyses suggested that MP-HJ-1b affects ribosomes, and we confirmed that it inhibits the ribosomal component proteins RPL35 and MRPL28. Colchicine was used as an analog, and the results showed that MP-HJ-1b and colchicine increased reactive oxygen species and malondialdehyde levels and decreased reduced glutathione levels, suggesting that they promoted ferroptosis in HeLa cells. Specifically, MP-HJ-1b downregulated SLC7A11 and GPX4 to enhance the classical pathway of ferroptosis, while colchicine upregulated LC3A/B-II and enhanced autophagy. Clinically, the serum concentrations of ferrous ions, reduced glutathione, and Hcy were higher in cervical cancer patients than in healthy individuals. ALT, AST, Cho, HDL-C, and LDL-C levels were decreased in the serum of patients. Our study expands understanding of the way MP-HJ-1b promotes cell death and enriches research on microtubule inhibitors in the ferroptosis field.
Evaluation of an offline, artificial intelligence system for referable glaucoma screening using a smartphone-based fundus camera: a prospective study
Authors: Rao Divya Parthasarathy , Shroff Sujani , Savoy Florian M. , S Shruthi , Hsu Chao-Kai , Negiloni Kalpa , Pradhan Zia Sultan , P V Jayasree , Sivaraman Anand , Rao Harsha L. 
Published: December 2023

Abstract
Background/Objectives
An affordable and scalable screening model is critical for undetected glaucoma. The study evaluated the performance of an offline, smartphone-based AI system for the detection of referable glaucoma against two benchmarks: specialist diagnosis following full glaucoma workup and consensus image grading.

Subjects/Methods
This prospective study (tertiary glaucoma centre, India) included 243 subjects with varying severity of glaucoma and control group without glaucoma. Disc-centred images were captured using a validated smartphone-based fundus camera analysed by the AI system and graded by specialists. Diagnostic ability of the AI in detecting referable Glaucoma (Confirmed glaucoma) and no referable Glaucoma (Suspects and No glaucoma) when compared to a final diagnosis (comprehensive glaucoma workup) and majority grading (image grading) by Glaucoma specialists (pre-defined criteria) were evaluated.

Results
The AI system demonstrated a sensitivity and specificity of 93.7% (95% CI: 87.6–96.9%) and 85.6% (95% CI:78.6–90.6%), respectively, in the detection of referable glaucoma when compared against final diagnosis following full glaucoma workup. True negative rate in definite non-glaucoma cases was 94.7% (95% CI: 87.2–97.9%). Amongst the false negatives were 4 early and 3 moderate glaucoma. When the same set of images provided to the AI was also provided to the specialists for image grading, specialists detected 60% (67/111) of true glaucoma cases versus a detection rate of 94% (104/111) by the AI.

Conclusion
The AI tool showed robust performance when compared against a stringent benchmark. It had modest over-referral of normal subjects despite being challenged with fundus images alone. The next step involves a population-level assessment.
Lung dendritic-cell metabolism underlies susceptibility to viral infection in diabetes
Authors: Nobs Samuel Philip , Kolodziejczyk Aleksandra A. , Adler Lital , Horesh Nir , Botscharnikow Christine , Herzog Ella , Mohapatra Gayatree , Hejndorf Sophia , Hodgetts Ryan-James , Spivak Igor , Schorr Lena , Fluhr Leviel , Kviatcovsky Denise , Zacharia Anish , Njuki Suzanne , Barasch Dinorah , Stettner Noa , Dori-Bachash Mally , Harmelin Alon , Brandis Alexander , Mehlman Tevie , Erez Ayelet , He Yiming , Ferrini Sara , Puschhof Jens , Shapiro Hagit , Kopf Manfred , Moussaieff Arieh , Abdeen Suhaib K. , Elinav Eran 
Published: December 2023

AbstractPeople with diabetes feature a life-risking susceptibility to respiratory viral infection, including influenza and SARS-CoV-2 (ref. 1), whose mechanism remains unknown. In acquired and genetic mouse models of diabetes, induced with an acute pulmonary viral infection, we demonstrate that hyperglycaemia leads to impaired costimulatory molecule expression, antigen transport and T cell priming in distinct lung dendritic cell (DC) subsets, driving a defective antiviral adaptive immune response, delayed viral clearance and enhanced mortality. Mechanistically, hyperglycaemia induces an altered metabolic DC circuitry characterized by increased glucose-to-acetyl-CoA shunting and downstream histone acetylation, leading to global chromatin alterations. These, in turn, drive impaired expression of key DC effectors including central antigen presentation-related genes. Either glucose-lowering treatment or pharmacological modulation of histone acetylation rescues DC function and antiviral immunity. Collectively, we highlight a hyperglycaemia-driven metabolic-immune axis orchestrating DC dysfunction during pulmonary viral infection and identify metabolic checkpoints that may be therapeutically exploited in mitigating exacerbated disease in infected diabetics.
Single-cell DNA methylome and 3D multi-omic atlas of the adult mouse brain
Authors: Liu Hanqing , Zeng Qiurui , Zhou Jingtian , Bartlett Anna , Wang Bang-An , Berube Peter , Tian Wei , Kenworthy Mia , Altshul Jordan , Nery Joseph R. , Chen Huaming , Castanon Rosa G. , Zu Songpeng , Li Yang Eric , Lucero Jacinta , Osteen Julia K. , Pinto-Duarte Antonio , Lee Jasper , Rink Jon , Cho Silvia , Emerson Nora , Nunn Michael , O’Connor Carolyn , Wu Zhanghao , Stoica Ion , Yao Zizhen , Smith Kimberly A. , Tasic Bosiljka , Luo Chongyuan , Dixon Jesse R. , Zeng Hongkui , Ren Bing , Behrens M. Margarita , Ecker Joseph R. 
Published: December 2023

AbstractCytosine DNA methylation is essential in brain development and is implicated in various neurological disorders. Understanding DNA methylation diversity across the entire brain in a spatial context is fundamental for a complete molecular atlas of brain cell types and their gene regulatory landscapes. Here we used single-nucleus methylome sequencing (snmC-seq3) and multi-omic sequencing (snm3C-seq)1technologies to generate 301,626 methylomes and 176,003 chromatin conformation–methylome joint profiles from 117 dissected regions throughout the adult mouse brain. Using iterative clustering and integrating with companion whole-brain transcriptome and chromatin accessibility datasets, we constructed a methylation-based cell taxonomy with 4,673 cell groups and 274 cross-modality-annotated subclasses. We identified 2.6 million differentially methylated regions across the genome that represent potential gene regulation elements. Notably, we observed spatial cytosine methylation patterns on both genes and regulatory elements in cell types within and across brain regions. Brain-wide spatial transcriptomics data validated the association of spatial epigenetic diversity with transcription and improved the anatomical mapping of our epigenetic datasets. Furthermore, chromatin conformation diversities occurred in important neuronal genes and were highly associated with DNA methylation and transcription changes. Brain-wide cell-type comparisons enabled the construction of regulatory networks that incorporate transcription factors, regulatory elements and their potential downstream gene targets. Finally, intragenic DNA methylation and chromatin conformation patterns predicted alternative gene isoform expression observed in a whole-brain SMART-seq2dataset. Our study establishes a brain-wide, single-cell DNA methylome and 3D multi-omic atlas and provides a valuable resource for comprehending the cellular–spatial and regulatory genome diversity of the mouse brain.