bluuebunny/crossref_metadata_2025_split huggingface dataset:
Amplified Secondary Organic Aerosol Formation Induced by Anthropogenic–Biogenic Interactions in Forests Around Megacities
Authors: Ma Fangyuan , Wang Hao , Ding Yaozhou , Zhang Shenyang , Wu Gengchen , Li Yanlei , Gong Daocheng , Ristovski Zoran , He Congrong , Wang Boguang 
Published: November 2024

AbstractThe amplification effect of anthropogenic‐biogenic interactions on secondary organic aerosol (SOA) formation remains debated, particularly regarding the impact of anthropogenic emissions on biogenic SOA (BSOA) formation in forests near megacities. This study concurrently measured typical biogenic and anthropogenic SOA tracers during day and night at the summit (1,690 m a.s.l.) and foot (200 m a.s.l.) of the Nanling mountains, a large subtropical forest adjacent to the Pearl River Delta (PRD) in southern China. Results revealed unexpectedly high concentrations of BSOA tracers (149.9 ± 70.5 ng m−3 at the summit and 109.7 ± 51.2 ng m−3 at the foot), surpassing those at most other background sites worldwide. Daytime BSOA tracer levels at the foot were consistent with nighttime levels, whereas the summit showed significantly higher concentrations at night. Nighttime correlations between O₃ and BSOA tracers at the summit suggest that high O₃ levels stimulate BSOA formation. Conversely, a negative correlation between O₃ and isoprene derived SOA (SOAI) tracers at the foot indicates that other oxidants may also influence SOAI formation. BSOA tracer concentrations rose significantly with the arrival of anthropogenic pollutants (e.g., SO₂ and NO₂), indicating that anthropogenic pollution amplifies BSOA formation by enhancing aerosol acidity (pH < 3). This amplification effect could be mitigated by the reduction of aerosol acidity due to increased NH₃ and relative humidity (RH). Our findings provide valuable insights into the interactions between anthropogenic and biogenic emissions on SOA formation and vertical distribution in forests surrounding megacities.
Tibetan Peat Records Global Major Explosive Volcanic Eruptions in the Holocene
Authors: Peng Haijun , Enrico Maxime , Zeng Mengxiu , Hong Bing , Wang Jie , Fan Baoxiang , Bishop Kevin , Li Chuxian , Yin Runsheng , Bindler Richard , Zhu Wei 
Published: November 2024

AbstractMajor explosive volcanic eruptions were important triggers of abrupt climate changes during the Holocene and crucial sources of Hg to the atmosphere, yet there remains limited understanding regarding the long‐range transportation of this volcanic Hg and its imprint in natural archives. Here, we present a reconstruction of Holocene global volcanism based on the anomalies in Hg concentrations, accumulation fluxes, and Hg/C ratios in three high‐resolution peat profiles spanning Eurasia. Our reconstruction reveals that the two Tibetan peat profiles recorded 33 major explosive volcanic eruptions (with 11 eruptions being synchronously detected), which correspond with a French Pyrenees peat record and sulfate anomalies in polar ice cores. Additionally, the major explosive volcanic eruptions recorded in the TP peat profiles coincided with abrupt decreases in solar irradiance during the Holocene, suggesting these eruptions might have had a greater global climate impact. Our results suggest the atmospheric transport of volcanic Hg within the Northern Hemisphere and underscore the significant role played by major explosive volcanic eruptions in precipitating abrupt global climate and environmental changes during the Holocene. This study has implications for deciphering the configuration of volcanic eruption seasons, locations, and magnitudes during the Holocene and aligning the chronology of peat deposits with ice cores.
Monitoring Heavy Rainfall Events in East Asia Using High‐Resolution Isotopic Observations
Authors: Xu Tao , Pang Hongxi , Wu Shuangye , Guo Huiwen , Zhang Wangbin , Hou Shugui 
Published: November 2024

AbstractIt is important to understand the mechanisms of heavy rainfall events, as such information could improve forecasting of these events and help mitigate their adverse impacts on life and property. In this study, we analyzed hourly stable isotopic compositions in water vapor (δ18Ov and d‐excessv) during heavy rainfall events in the summer monsoon season (June to September) from 2013 to 2023 in Nanjing, eastern China. These data were extracted from the longest data set of high‐resolution and continuous in situ observations of water vapor isotopes globally. Based on these data, we identified four evolution patterns of δ18Ov during heavy rainfall events, corresponding to different weather systems: slow‐declining (tropical cyclone interacting with mid‐ and high‐latitude system), W‐shaped (tropical cyclone), U‐shaped (cold vortex system), and inclined L‐shaped (upper‐level trough system). The isotopic variations suggest that heavy rainfall events in eastern China were mainly sustained by moisture from adjacent oceans (including the South China Sea and the East China Sea) and terrestrial environment rather than from the distant Indian Ocean as previously suggested. In addition, for some heavy rainfall events with an intermittent period, the nearby oceanic moisture transport alters before and after the intermittent period due to an intensity change or overall transition of low‐level weather systems. This study serves as a benchmark for tracing heavy rainfall processes in East Asia using high‐resolution water vapor isotopes.
Can Satellite or Reanalysis Precipitation Products Depict the Location and Intensity of Rainfall at Flash Flood Scale Over the Eastern Mountainous Area of the Tibetan Plateau?
Authors: Feng Yuqiao , Qi Youcun , Zhao Zhanfeng , Li Donghuan 
Published: November 2024

AbstractThis study conducted evaluation and analysis on various precipitation products over the eastern Tibetan Plateau (ETP), including four sets of satellite precipitation data (i.e., IMERG_Uncal, IMERG_Cal, GSMaP_MVK, GSMaP_Gauge) and one set of model reanalysis data (i.e., ERA5‐land, hereafter ERA5‐L). We evaluated the spatial‐temporal distribution of their quality at an hourly temporal scale and 0.1° spatial scale, with a special focus on capturing different types of precipitation. The results show that: (a) GSMaP_Gauge exhibits the highest correlation with ground‐based gauges, while IMERG_Uncal and IMERG_Cal perform best in the estimation of the amount of precipitation. Satellite products generally perform better during summer while ERA5‐L sometimes outperforms satellite products in spring and autumn. (b) The evaluation results for different precipitation types reveal that all the QPE products face significant challenges in accurately describing convective precipitation. They tend to underestimate convective precipitation and fail to properly capture the intensity and location of heavy precipitation. (c) In heavy convective precipitation cases, the evaluated QPE products show various issues in accurately capturing the intensity and spatiotemporal variation of precipitation. Almost all QPE products underestimate maximum precipitation (both hourly precipitation and accumulated precipitation) and small‐scale (about 50 km or less) spatial variability of precipitation. IMERG_Uncal, IMERG_Cal, and GSMaP_MVK perform better than other products in heavy convective precipitation cases. This study provides new insights into the quality of QPE products in different types of precipitation. The analysis of the quality of these QPE products serves as a valuable indicator of their potential applications, particularly in flash flood simulations, while also underscoring the critical need for improving precipitation product quality.
Birth outcomes of individuals who have experienced incarceration during pregnancy
Authors: Miller-Bedell Emma Rose , Sie Lillian , Carmichael Suzan L. , Matoba Nana , Weiner Ya’el , Kim Joseph J. , Anoshiravani Arash , Seidman Dominika , Lyell Deirdre J. , Lee Henry C. 
Published: November 2024

Abstract
Objectives
Describe the prevalence, health, and birth outcomes of incarcerated pregnant individuals in California between 2011 and 2015.

Study design
A population-based cohort study was performed using linked birth certificate and hospital discharge data. Associations between incarceration and birth outcomes were examined, including multivariable logistic regression to estimate odds ratios and 95% confidence intervals.

Results
Amongst 1401 incarcerated and 551,029 nonincarcerated pregnant people across 112 delivery hospitals, 33% of incarcerated individuals had late initiation of prenatal care; 2.4% experienced severe maternal morbidity, compared to 18.9% and 1.6% of controls, respectively (p < 0.05). Births to incarcerated individuals had higher adjusted likelihoods of prematurity (OR 1.42, 95% CI 1.21, 1.67), small for gestational age (OR 1.31, 95% CI 1.11, 1.56), and NICU admission (OR 1.64, 95% CI, 1.40, 1.93) relative to controls.

Conclusion
Incarcerated individuals have greater likelihood of negative birth outcomes. Identification of approaches to reduce these harms is warranted.
Multi-trait association analysis reveals shared genetic loci between Alzheimer’s disease and cardiovascular traits
Authors: Koskeridis Fotios , Fancy Nurun , Tan Pei Fang , Meena Devendra , Evangelou Evangelos , Elliott Paul , Wang Dennis , Matthews Paul M. , Dehghan Abbas , Tzoulaki Ioanna 
Published: November 2024

AbstractSeveral cardiovascular traits and diseases co-occur with Alzheimer’s disease. We mapped their shared genetic architecture using multi-trait genome-wide association studies. Subsequent fine-mapping and colocalisation highlighted 16 genetic loci associated with both Alzheimer’s and cardiovascular diseases. We prioritised rs11786896, which colocalised with Alzheimer’s disease, atrial fibrillation and expression of PLEC in the heart left ventricle, and rs7529220, which colocalised with Alzheimer’s disease, atrial fibrillation and expression of C1Q family genes. Single-cell RNA-sequencing data, co-expression network and protein-protein interaction analyses provided evidence for different mechanisms of PLEC, which is upregulated in left ventricular endothelium and cardiomyocytes with heart failure and in brain astrocytes with Alzheimer’s disease. Similar common mechanisms are implicated for C1Q in heart macrophages with heart failure and in brain microglia with Alzheimer’s disease. These findings highlight inflammatory and pleomorphic risk determinants for the co-occurrence of Alzheimer’s and cardiovascular diseases and suggest PLEC, C1Q and their interacting proteins as potential therapeutic targets.
Catalase activity deficiency sensitizes multidrug-resistant Mycobacterium tuberculosis to the ATP synthase inhibitor bedaquiline
Authors: Ofori-Anyinam Boatema , Hamblin Meagan , Coldren Miranda L. , Li Barry , Mereddy Gautam , Shaikh Mustafa , Shah Avi , Grady Courtney , Ranu Navpreet , Lu Sean , Blainey Paul C. , Ma Shuyi , Collins James J. , Yang Jason H. 
Published: November 2024

AbstractMultidrug-resistant tuberculosis (MDR-TB), defined as resistance to the first-line drugs isoniazid and rifampin, is a growing source of global mortality and threatens global control of tuberculosis disease. The diarylquinoline bedaquiline has recently emerged as a highly efficacious drug against MDR-TB and kills Mycobacterium tuberculosis by inhibiting mycobacterial ATP synthase. However, the mechanisms underlying bedaquiline’s efficacy against MDR-TB remain unknown. Here we investigate bedaquiline hyper-susceptibility in drug-resistant Mycobacterium tuberculosis using systems biology approaches. We discovered that MDR clinical isolates are commonly sensitized to bedaquiline. This hypersensitization is caused by several physiological changes induced by deficient catalase activity. These include enhanced accumulation of reactive oxygen species, increased susceptibility to DNA damage, induction of sensitizing transcriptional programs, and metabolic repression of several biosynthetic pathways. In this work we demonstrate how resistance-associated changes in bacterial physiology can mechanistically induce collateral antimicrobial drug sensitivity and reveal druggable vulnerabilities in antimicrobial resistant pathogens.
Charting and probing the activity of ADARs in human development and cell-fate specification
Authors: Dailamy Amir , Lyu Weiqi , Nourreddine Sami , Tong Michael , Rainaldi Joseph , McDonald Daniella , Panwala Rebecca , Muotri Alysson , Breen Michael S. , Zhang Kun , Mali Prashant 
Published: November 2024

AbstractAdenosine deaminases acting on RNA (ADARs) impact diverse cellular processes and pathological conditions, but their functions in early cell-fate specification remain less understood. To gain insights here, we began by charting time-course RNA editing profiles in human organs from fetal to adult stages. Next, we utilized hPSC differentiation to experimentally probe ADARs, harnessing brain organoids as neural specific, and teratomas as pan-tissue developmental models. We show that time-series teratomas faithfully recapitulate fetal developmental trends, and motivated by this, conducted pan-tissue, single-cell CRISPR-KO screens of ADARs in teratomas. Knocking out ADAR leads to a global decrease in RNA editing across all germ-layers. Intriguingly, knocking out ADAR leads to an enrichment of adipogenic cells, revealing a role for ADAR in human adipogenesis. Collectively, we present a multi-pronged framework charting time-resolved RNA editing profiles and coupled ADAR perturbations in developmental models, thereby shedding light on the role of ADARs in cell-fate specification.
Machine learning interatomic potential with DFT accuracy for general grain boundaries in α-Fe
Authors: Ito Kazuma , Yokoi Tatsuya , Hyodo Katsutoshi , Mori Hideki 
Published: November 2024

AbstractTo advance the development of high-strength polycrystalline metallic materials towards achieving carbon neutrality, it is essential to design materials in which the atomic level control of general grain boundaries (GGBs), which govern the material properties, is achieved. However, owing to the complex and diverse structures of GGBs, there have been no reports on interatomic potentials capable of reproducing them. This accuracy is essential for conducting molecular dynamics analyses to derive material design guidelines. In this study, we constructed a machine learning interatomic potential (MLIP) with density functional theory (DFT) accuracy to model the energy, atomic structure, and dynamics of arbitrary grain boundaries (GBs), including GGBs, in α-Fe. Specifically, we employed a training dataset comprising diverse atomic structures generated based on crystal space groups. The GGB accuracy was evaluated by directly comparing with DFT calculations performed on cells cut near GBs from nano-polycrystals, and extrapolation grades of the local atomic environment based on active learning methods for the entire nano-polycrystal. Furthermore, we analyzed the GB energy and atomic structure in α-Fe polycrystals through large-scale molecular dynamics analysis using the constructed MLIP. The average GB energy of α-Fe polycrystals calculated by the constructed MLIP is 1.57 J/m2, exhibiting good agreement with experimental predictions. Our findings demonstrate the methodology for constructing an MLIP capable of representing GGBs with high accuracy, thereby paving the way for materials design based on computational materials science for polycrystalline materials.
Trainability barriers and opportunities in quantum generative modeling
Authors: Rudolph Manuel S. , Lerch Sacha , Thanasilp Supanut , Kiss Oriel , Shaya Oxana , Vallecorsa Sofia , Grossi Michele , Holmes Zoë 
Published: November 2024

AbstractQuantum generative models provide inherently efficient sampling strategies and thus show promise for achieving an advantage using quantum hardware. In this work, we investigate the barriers to the trainability of quantum generative models posed by barren plateaus and exponential loss concentration. We explore the interplay between explicit and implicit models and losses, and show that using quantum generative models with explicit losses such as the KL divergence leads to a new flavor of barren plateaus. In contrast, the implicit Maximum Mean Discrepancy loss can be viewed as the expectation value of an observable that is either low-bodied and provably trainable, or global and untrainable depending on the choice of kernel. In parallel, we find that solely low-bodied implicit losses cannot in general distinguish high-order correlations in the target data, while some quantum loss estimation strategies can. We validate our findings by comparing different loss functions for modeling data from High-Energy-Physics.
High-temperature 205Tl decay clarifies 205Pb dating in early Solar System
Authors: Leckenby Guy , Sidhu Ragandeep Singh , Chen Rui Jiu , Mancino Riccardo , Szányi Balázs , Bai Mei , Battino Umberto , Blaum Klaus , Brandau Carsten , Cristallo Sergio , Dickel Timo , Dillmann Iris , Dmytriiev Dmytro , Faestermann Thomas , Forstner Oliver , Franczak Bernhard , Geissel Hans , Gernhäuser Roman , Glorius Jan , Griffin Chris , Gumberidze Alexandre , Haettner Emma , Hillenbrand Pierre-Michel , Karakas Amanda , Kaur Tejpreet , Korten Wolfram , Kozhuharov Christophor , Kuzminchuk Natalia , Langanke Karlheinz , Litvinov Sergey , Litvinov Yuri A. , Lugaro Maria , Martínez-Pinedo Gabriel , Menz Esther , Meyer Bradley , Morgenroth Tino , Neff Thomas , Nociforo Chiara , Petridis Nikolaos , Pignatari Marco , Popp Ulrich , Purushothaman Sivaji , Reifarth René , Sanjari Shahab , Scheidenberger Christoph , Spillmann Uwe , Steck Markus , Stöhlker Thomas , Tanaka Yoshiki K. , Trassinelli Martino , Trotsenko Sergiy , Varga László , Vescovi Diego , Wang Meng , Weick Helmut , Yagüe Lopéz Andrés , Yamaguchi Takayuki , Zhang Yuhu , Zhao Jianwei 
Published: November 2024

Abstract
Radioactive nuclei with lifetimes on the order of millions of years can reveal the formation history of the Sun and active nucleosynthesis occurring at the time and place of its birth1,2. Among such nuclei whose decay signatures are found in the oldest meteorites, 205Pb is a powerful example, as it is produced exclusively by slow neutron captures (the s process), with most being synthesized in asymptotic giant branch (AGB) stars3–5. However, making accurate abundance predictions for 205Pb has so far been impossible because the weak decay rates of 205Pb and 205Tl are very uncertain at stellar temperatures6,7. To constrain these decay rates, we measured for the first time the bound-state β− decay of fully ionized 205Tl81+, an exotic decay mode that only occurs in highly charged ions. The measured half-life is 4.7 times longer than the previous theoretical estimate8 and our 10% experimental uncertainty has eliminated the main nuclear-physics limitation. With new, experimentally backed decay rates, we used AGB stellar models to calculate 205Pb yields. Propagating those yields with basic galactic chemical evolution (GCE) and comparing with the 205Pb/204Pb ratio from meteorites9–11, we determined the isolation time of solar material inside its parent molecular cloud. We find positive isolation times that are consistent with the other s-process short-lived radioactive nuclei found in the early Solar System. Our results reaffirm the site of the Sun’s birth as a long-lived, giant molecular cloud and support the use of the 205Pb–205Tl decay system as a chronometer in the early Solar System.
Whole genome sequencing of CRISPR/Cas9-engineered NF-κB reporter mice for validation and variant discovery
Authors: Mahesh Guruswamy , Martin Erik W. , Aqdas Mohammad , Oh Kyu-Seon , Sung Myong-Hee 
Published: November 2024

AbstractTargeted knockout, mutations, or knock-in of genomic DNA fragments in model organisms have been used widely for functional and cell-tracking studies. The desired genetic perturbation is often accomplished by recombination-based or CRISPR/Cas9-based genome engineering. For validating the intended genetic modification, a local region surrounding the targeted locus is typically examined based on enzymatic cleavage and consequent length patterns, e.g. in a Southern analysis. Despite its wide use, this approach is open to incomplete and ambiguous readouts. With decreasing costs of high-throughput sequencing, it is becoming feasible to consider a large-scale validation of a new strain after a targeted genetic perturbation. Here we describe a dataset of whole-genome sequences and the variant analysis results from four novel reporter mouse strains. This served to validate the strains and identified all the off-target effects on the genome, thereby increasing the genetic diversity of genomic sequences over those represented in the public databases for inbred mice.
Passive shoulder occupational exoskeleton reduces shoulder muscle coactivation in repetitive arm movements
Authors: Grazi Lorenzo , Trigili Emilio , Fiore Michele , Giovacchini Francesco , Sabatini Angelo Maria , Vitiello Nicola , Crea Simona 
Published: November 2024

AbstractHumans naturally employ muscle coactivation to facilitate a broad range of movements, enhancing joint stability and movement accuracy. However, excessive muscle coactivation can become unfavorable or even detrimental. This phenomenon is often observed in industrial workers who endure repetitive or prolonged joint stress, particularly in areas such as the shoulders. Prolonged stress can result in soft tissue damage and the onset of work-related musculoskeletal disorders (MSDs). In recent years, there have been efforts to mitigate the emergence of work-related MSDs among industrial workers through the implementation of upper-limb occupational exoskeletons (OEs). While previous research has demonstrated their effectiveness in reducing shoulder muscle activation, particularly in static and overhead work activities, there has been a lack of studies examining the impact of upper-limb OEs on muscle coactivation during repetitive arm movements. To bridge this gap in knowledge, our study systematically assesses the influence of a passive exoskeleton’s anti-gravitational support on shoulder muscle coactivation during repetitive arm movements. Results show that peak and mean coactivation levels linearly decrease with the increase of the amount of anti-gravitational support provided by the upper-limb OE, reaching approximately 51% and 54%, respectively. Conversely, the percentage of the movement cycle corresponding to the coactivation peak appears unaffected by the level of assistance. This study marks the first instance in which a passive upper-limb OE has been shown to reduce shoulder muscle coactivations, potentially paving the way for a novel methodology in their evaluation.
Proximity to active volcanoes enhances glacier velocity
Authors: Mallalieu Joseph , Barr Iestyn D. , Spagnolo Matteo , Mullan Donal J. , Symeonakis Elias , Edwards Benjamin R. , Martin Michael D. 
Published: November 2024

AbstractVolcanic heating is predicted by theory to affect the velocity of nearby glaciers. However, conclusive studies on a large scale are lacking. Here, we conduct a global comparison of the velocities of glaciers near active volcanoes (i.e. within 5 km) and those located elsewhere ( > 5 km from an active volcano). Our findings show that, when considered over an annual scale (e.g. 2017-2018) and controlling for other factors, glaciers near volcanoes flow 46% faster than those located elsewhere (based on median values). This finding strongly suggests that volcanic heating impacts glacier velocity at a global scale, and supports the idea that glacier velocity monitoring could be a valuable indirect tool to help volcano monitoring and eruption prediction, particularly where volcanic heating (and therefore subglacial melt) intensifies months or years prior to eruptions.