bluuebunny/crossref_metadata_2025 huggingface dataset:
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

Major 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

It 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

This 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

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

Several 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

Multidrug-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

Adenosine 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

To 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

Quantum 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

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

Targeted 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

Humans 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

Volcanic 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.
Robust neural networks using stochastic resonance neurons
Authors: Manuylovich Egor , Argüello Ron Diego , Kamalian-Kopae Morteza , Turitsyn Sergei K.
Published: November 2024

Various successful applications of deep artificial neural networks are effectively facilitated by the possibility to increase the number of layers and neurons in the network at the expense of the growing computational complexity. Increasing computational complexity to improve performance makes hardware implementation more difficult and directly affects both power consumption and the accumulation of signal processing latency, which are critical issues in many applications. Power consumption can be potentially reduced using analog neural networks, the performance of which, however, is limited by noise aggregation. Following the idea of physics-inspired machine learning, we propose here a type of neural network using stochastic resonances as a dynamic nonlinear node and demonstrate the possibility of considerably reducing the number of neurons required for a given prediction accuracy. We also observe that the performance of such neural networks is more robust against the impact of noise in the training data compared to conventional networks.
Clinical applications of fibroblast activation protein inhibitor positron emission tomography (FAPI-PET)
Authors: Mori Yuriko , Novruzov Emil , Schmitt Dominik , Cardinale Jens , Watabe Tadashi , Choyke Peter L. , Alavi Abass , Haberkorn Uwe , Giesel Frederik L.
Published: November 2024

The discovery of fibroblast activation protein inhibitor positron emission tomography (FAPI-PET) has paved the way for a new class of PET tracers that target the tumor microenvironment (TME) rather than the tumor itself. Although 18F-fluorodeoxyglucose (FDG) is the most common PET tracer used in clinical imaging of cancer, multiple studies have now shown that the family of FAP ligands commonly outperform FDG in detecting cancers, especially those known to have lower uptake on FDG-PET. Moreover, FAPI-PET will have applications in benign fibrotic or inflammatory conditions. Thus, even while new FAPI-PET tracers are in development and applications are yet to enter clinical guidelines, a significant body of literature has emerged on FAPI-PET, suggesting it will have important clinical roles. This article summarizes the current state of clinical FAPI-PET imaging as well as potential uses as a theranostic agent.
Simple generation of cleavable labels for multiplexed imaging
Authors: Van Deuren Vincent , Denis Silke , Van den Eynde Robin , Chui Jonathan Sai-Hong , Bosisio Francesca , De Smet Frederik , Dehaen Wim , Vandenberg Wim , Dedecker Peter
Published: November 2024

We describe a much simpler method for the labeling of amine-containing molecules so that the linker between them can be cleaved using a mild reducing agent. We then demonstrate our method for sequential imaging of multiple distinct structures.
One-step selective synthesis of doubly and triply fused chiral boroloborole derivatives
Authors: Bohlen Josina L. , Wieprecht Nele , Arrowsmith Merle , Häfner Alena , Neder Marco , Braunschweig Holger
Published: November 2024

Arene-fused, bent boroloboroles are obtained in once step from the 1 : 1 reactions of ortho-(dihaloboryl)arenes and stannole or stannaindole derivatives via a complex mechanism of intramolecular rearrangements.
Acid-induced fluorescence enhancement of piperazinylphenyl-substituted nanographene
Authors: Zhao Hao , Muñoz-Mármol Rafael , Moshniaha Liliia , Yang Qiqi , Bonn Mischa , Liu Xiaomin , Kabe Ryota , Paternò Giuseppe Maria , Narita Akimitsu
Published: November 2024

A dibenzo[hi,st]ovalene (DBOV) derivative bay-substituted with two piperazinylphenyl (PZP) groups (DBOV–PZP) was synthesized.
Too fast and too furious: thermoanalytical and quantum chemical study of the thermal stability of 4,4′-dinitro-3,3′-diazenofuroxan
Authors: Kiselev Vitaly G. , Sadykov Artem R. , Melnikov Igor N. , Fomenkov Igor V. , Fershtat Leonid L. , Pivkina Alla N. , Muravyev Nikita V.
Published: November 2024

Thermal stability of 4,4′-dinitro-3,3′-diazenofuroxan, an ultrahigh-performance energetic material, was studied using a complementary combination of thermal analysis and quantum chemical calculations. The Library of Congress is credited for the image of the Sumari, image ID cph 3g08655.
Expression of concern: Valence tautomeric interconversion of bis-dioxolene cobalt complex with imino-pyridine functionalized by TEMPO moiety in solid solutions with isostructural nickel analogue: phase transitions and monocrystal destruction
Authors: Bubnov Michael P. , Zolotukhin Alexey A. , Fukin Georgy K. , Rumyantcev Roman V. , Bogomyakov Artem S.
Published: November 2024

Expression of concern for ‘Valence tautomeric interconversion of bis-dioxolene cobalt complex with imino-pyridine functionalized by TEMPO moiety in solid solutions with isostructural nickel analogue: phase transitions and monocrystal destruction’ by Michael P. Bubnov et al., Dalton Trans., 2024, 53, 9151–9160, https://doi.org/10.1039/D4DT00453A.
Molecular-scale investigation on the photochemical transformation of dissolved organic matter after immobilization by iron minerals with FT-ICR MS
Authors: Jiang Yongcan , Wang Yi , Shao Yinlong , Yang Dong , Guo Minli , Wen Yu , Tang Hong , Liu Guanglong
Published: November 2024

The interaction between dissolved organic matter (DOM) and iron minerals has a significant effect on its stabilization and preservation in the environment.
Correction: How do ecosystem service functions affect ecological health? Evidence from the Yangtze River Economic Belt in China
Authors: Wang Wei , Yang Jun , Yang Guishan , Wu Chao , Yu Jie
Published: November 2024

Correction for ‘How do ecosystem service functions affect ecological health? Evidence from the Yangtze River Economic Belt in China’ by Wei Wang et al., Environ. Sci.: Processes Impacts, 2024, https://doi.org/10.1039/D4EM00296B.
Sustainable pretreatment of blood samples using hydrophobic eutectic solvents to improve the detection of bisphenol A
Authors: Polesca Cariny , Passos Helena , Sousa Ana C. A. , Tue Nguyen Minh , Coutinho João A. P. , Kunisue Tatsuya , Freire Mara G.
Published: November 2024

Three-phase partitioning systems based on designed hydrophobic eutectic solvents allow a sustainable pretreatment of blood samples to improve the detection of bisphenol A, paving the way for their application in a variety of biomonitoring studies.
Combining porous organic polymers with chelating agents: a facile strategy to develop effective and multi-purpose absorbents for wastewater treatment
Authors: Zhou Jiyong , Chen Yunze , Huang Liping , Sun Lin , Zhang Jianhua
Published: November 2024

A type of multifunctional absorbent for the concurrent and efficient removal of dyes and heavy metal ions from water was prepared by coupling carbamate-based porous organic polymer and chelating agent N-(2-hydroxyethyl) ethylenediaminetriacetic acid.
Synthesis of MOF-supported Pt catalyst with high electrochemical oxidation activity for methanol oxidation
Authors: Akin Merve , Kars Hatice , Bekmezci Muhammed , Aygun Aysenur , Gul Mert , Kaya Guray , Sen Fatih
Published: November 2024

In this study, Pt and Pt@Ti-MOF NPs catalysts were synthesized by chemical reduction method. Ti-MOF structure was synthesized using the solvothermal method, and the effect of Ti-MOF on methanol oxidation was investigated.
Correction: Design, synthesis, pharmacological evaluation, and in silico studies of the activity of novel spiro pyrrolo[3,4-d]pyrimidine derivatives
Authors: Alzahrani Abdullah Y. A. , Shehab Wesam S. , Amer Asmaa H. , Assy Mohamed G. , Mouneir Samar M. , Abdelaziz Maged , Abdel Hamid Atef M.
Published: November 2024

Correction for ‘Design, synthesis, pharmacological evaluation, and in silico studies of the activity of novel spiro pyrrolo[3,4-d]pyrimidine derivatives’ by Abdullah Y. A. Alzahrani et al., RSC Adv., 2024, 14, 995–1008, https://doi.org/10.1039/D3RA07078F.
Upcycling polymethyl methacrylate to methacrylic acid
Authors: Zhuang Yanfa , Saadatkhah Nooshin , Nguyen Tien-Dat , De Tommaso Jacopo , Ng Clive Yi Jie , Wang Chunyu , Ajji Abdellah , Patience Gregory S.
Published: November 2024

Upcycling PMMA to methacrylic acid rather than methyl methacrylate is a viable economic alternative to treat end-of-life plastic.
Integrating continuous flow reaction and work-up: chiral amine resolution, separation and purification using a novel coalescing filter system
Authors: Rowley Bethan M. , Thompson Lisa A. , Power Luke A. , Daglish James , Parks Emma , Birbeck James , Marsden Steve , Kapur Nikil , Blacker A. John
Published: November 2024

Continuous telescoped reaction, liquid–liquid separation and purification of an amine, using a novel coalescing droplet filtration system, pH-based extractions and crystallisation.
A multifunctional “three-in-one” fluorescent theranostic system for hepatic ischemia–reperfusion injury
Authors: Liu Jihong , Yin Dongni , Zhang Wen , Wang Xin , James Tony D. , Li Ping , Tang Bo
Published: November 2024

A single-component multifunctional fluorescent theranostic system (MB-Gly) for use during hepatic ischemia-reperfusion injury (HIRI) has been developed.
Spin state modulation and kinetic control of thermal contraction in a [Fe2Co2] discrete Prussian blue analogue
Authors: Yadav Jyoti , Konar Sanjit
Published: November 2024

This work reports a [Fe2Co2] square complex that shows single-crystal-to-single-crystal transformation, altering H-bond interactions and modulating magnetic behavior. Thermal spin-state switching displays an unusual negative thermal expansion.
Amalgamation-based AuHgPt nanochains as electrocatalysts for the hydrogen evolution reaction
Authors: Cao Pengfei , Xu Congcong , Zhang Lei , Li Jinyuan , Cheng Shi-Bo , Lin Meng
Published: November 2024

Chained gold–mercury–platinum nanoalloys were prepared by the galvanic replacement reaction using AuHg nanochains as templates for an electrochemical catalyst for the hydrogen evolution reaction.
Regulating the electronic structure of catalysts via stable ceria and adjustable copper metal/oxide towards efficient overall water splitting
Authors: Zheng Huan , Yin Tao , Yu Jialong , Xu Wei , Zhang Weizhen , Yu Qihui , Guo Yingnan , Guan Li , Huang Xiaolei , Wang Fenghe
Published: November 2024

CoCuCe-NS is reconstructed differently to enhance performance. CeO2 and Cu species significantly regulate the electronic structure and D-band center.
High-throughput screening of mechanically interlocked Catenane metal complexes for enhanced electrocatalytic activity
Authors: Tamtaji Mohsen , Goddard William A. , Chen GuanHua
Published: November 2024

Metal complexes have been thoroughly studied for various electrochemical reactions.
Stronger polar ferromagnetism and narrower optical band gaps in two-dimensional hybrid copper perovskites induced by bromine-substitution
Authors: Han Ceng , McNulty Jason A. , Bradford Alasdair J. , Slawin Alexandra M. Z. , Lee Stephen L. , Lightfoot Philip
Published: November 2024

A ‘dual-action’ halogen-substitution strategy, a heavier atom Br substituted in organic moieties and within inorganic octahedral moieties, results in structures (3/4-BrbaH)2CuBr4 with the highest Curie temperatures and the narrowest optical band gaps.
Mitigating methylglyoxal-induced glycation stress: the protective role of iron, copper, and manganese coordination compounds in Saccharomyces cerevisiae
Authors: do Espírito Santo Maria Eduarda S. F. , Frascino Bárbara F. , Mattos Larissa M. M. , Pires Daniele C. , de Oliveira Simone S. C. , Menezes Lucas B. , Braz Bernardo F. , Santeli Ricardo E. , Santos André L. S. , Horn Adolfo , Fernandes Christiane , Pereira Marcos D.
Published: November 2024

Glycation-induced stress (G-iS) is a physiological phenomenon that leads to the formation of advanced glycation end-products, triggering detrimental effects such as oxidative stress, inflammation, and damage to intracellular structures, tissues, and organs. This process is particularly relevant because it has been associated with various human pathologies, including cancer, neurodegenerative diseases, and diabetes. As therapeutic alternatives, coordination compounds with antioxidant activity show promising potential due to their versatility in attenuating oxidative stress and inflammation. Herein, we investigated the antioxidant-related protective potential of a series of complexes: [Cu(II)(BMPA)Cl2] (1), [Fe(III)(BMPA)Cl3] (2), and [Cl(BMPA)MnII-(μ-Cl)2-MnII(BMPA)-(μ-Cl)- MnII(BMPA)(Cl)2]•5H2O (3), all synthesized with the ligand bis-(2-pyridylmethyl)amine (BMPA) in Saccharomyces cerevisiae exposed to G-iS caused by methylglyoxal (MG). Pre- treatment with complexes 1–3 proved highly effective, increasing yeast tolerance to G-iS and attenuating mitochondrial dysfunction. This observed phenotype appears to result from a reduction in intracellular oxidation, lipid peroxidation levels, and glycation. Additionally, an increase in the activity of the antioxidant enzymes superoxide dismutase and catalase was observed following treatment with complexes 1–3. Notably, although complexes 1–3 provided significant protection against oxidative stress induced by H2O2 and menadione, their protective role was more effective against MG-induced glycation stress. Our results indicate that these complexes possess both antiglycation and antioxidant properties, warranting further investigation as potential interventions for mitigating glycation and oxidative stress-related pathologies.
Alignment of Audiologists' Values With Best-Practice Standards: Insights From a National Survey
Authors: Menon Katherine N. , Hoover Eric C.
Published: November 2024

Objectives:

Previous research documented the values of audiology through a qualitative content analysis of documents representing traditional, best-practice hearing health care. The primary objective of this study was to validate the existing list of audiology values. Through a nationwide survey, this study aimed to elicit the values of practicing audiologists, with a specific focus on the prescription and dispensing of amplification devices, to ensure a comprehensive understanding of their priorities. Additionally, this study sought to identify any values missing from the original list and determine the rank order importance of these values, comparing this to the prioritization of values found in best-practice audiology documents. This comparison aimed to assess the alignment of recommended guidelines and real-world practices in hearing health care.

Design:

An online survey was distributed to audiologists to elicit the prioritization of values from hearing health care providers. Participants were tasked with sorting and ranking 18 items, each representing a specific value in hearing health care, based on importance. Respondents were encouraged to suggest and rank the importance of additional values not included in the list. Audiologists were recruited from professional association mailing lists and direct contact. Respondent demographics were representative of U.S. audiologists. Qualitative content analysis was used to interpret values suggested by audiologists. Kendall's rank distance test was used to compare values prioritization between audiologists and best-practice audiology documents.

Results:

After filtering out incomplete or disqualifying responses, data from 289 audiologists across 46 states were analyzed. Additional values suggested by respondents aligned with existing values from best-practice documents; thus, no new values were added as a result of this study. A ranked list of values based on mean order of importance was elicited from U.S.-based audiologists. There was substantial agreement between survey results and the rank order of values found in best-practice audiology documents. A demographic subgroup analysis revealed a broad agreement among audiologists in the rank order of values.

Conclusions:

This study validated a comprehensive list of values in audiology and identified the rank order of values among a nationally representative sample of audiologists. The findings provide a foundation for future investigations into how these values influence decision-making processes for individuals with hearing difficulty. Addressing values conflicts as potential barriers to hearing health care usage can lead to solutions aligned with values of specific populations, ultimately improving the adoption and effectiveness of hearing health care interventions.

Supplemental Material:

https://doi.org/10.23641/asha.27478149
Associations Between Hearing Loss and Health-Related Costs: A Retrospective Population-Based Cohort Study
Authors: Tonelli Marcello , Wiebe Natasha , Boulton Tiffany , Donald Maoliosa , Evans Julie , Hemmelgarn Brenda , Howarth Tanis , Lunney Meg , Nicholas David , Makaroff Kara Schick , So Helen , Thompson Stephanie , Klarenbach Scott W. , Manns Braden
Published: November 2024

Purpose:

Hearing loss (HL) is a leading cause of disability worldwide, but its health-related costs have been incompletely studied. Our objective was to examine the association between HL and direct health care costs and identify subgroups in which costs associated with HL are especially high.

Method:

This was a retrospective population-based cohort study of adults treated in a universal health care system between April 2008 and March 2019. HL was identified using administrative health data. We estimate health care costs in 2023 Canadian dollars, including costs for hospitalization, provider claims, ambulatory care visits, prescription medications, and long-term care (LTC).

Results:

Of 4,424,632 participants, 146,644 (3.3%) had HL. Participants with HL were older (
Mdn
= 55 years [interquartile range: 43–68] vs. 35 years [24–50]) and had more comorbidities (1 [0–2] vs. 0 [0–1]) at baseline than participants without, whereas the likelihood of female sex, rural residence, and material deprivation were similar between groups with and without HL. Over median follow-up of 11.0 years, total age–sex adjusted annual health costs and each of its component costs were significantly higher in participants with HL compared to those without (annual total costs: $6,871, 95% confidence interval [CI] [$6,778, $6,962] vs. $4,716, 95% CI [$4,729, $4,763]). After full adjustment (a maximum of 29 comorbidities), annual costs remained significantly higher in participants with HL overall and for certain subcomponents (provider claims, ambulatory visits, and medications), whereas adjusted costs of hospitalization and LTC were lower among people with HL. The magnitude of the incremental costs among participants with HL was most pronounced for younger participants, men, or those with less comorbidity. Total projected annual direct health costs for Alberta residents with HL were $1.01 billion in 2023, of which $125 million (95% CI [$116, $135 million]) was attributable to HL specifically.

Conclusions:

Compared to those without HL, health costs were markedly higher among participants with HL, partially due to a higher burden of comorbidity. The relatively high population attributable costs of HL suggest that better prevention, recognition, and management of this condition could yield substantial economic benefits.

Supplemental Material:

https://doi.org/10.23641/asha.27353439
Influence of Voice Focus on Auditory Feedback Control of Speech Using Long-Term Average Spectrum, Phon Spectrum, and Accelerometry
Authors: Lee Shao-Hsuan , Lee Guo-She
Published: November 2024

Purpose:

This study investigates the effect of voice-focus adjustments on oronasal balance and auditory feedback control of speech via analyzing spectral distribution, perceived loudness, and nasal vibrations during sustained phonation and passage reading.

Method:

Twenty-five speech-language pathologists sustained /a/ and read passages with forward, backward, and natural voice focuses in quiet and noisy conditions. The low-frequency power (LFP) below 3 Hz of vocal fundamental frequency was analyzed to access audio–vocal feedback control. Long-term average spectra of speech were converted to phon spectra based on equal-loudness contours ISO 226:2003 to estimate perceived loudness of self-voice across different conditions. Nasal vibrations were also recorded using a digital accelerometer to measure oronasal coupling.

Results:

Forward-focused voice enhanced the nasal acceleration and reduced LFP, suggesting that increasing the degree of oronasal coupling can improve audio–vocal feedback control compared to natural and backward-focused voices. Voice-focus adjustments were most related to average power and phon values in the 0.2- to 0.3-kHz band. In noise, perceived loudness in the 0.5- to 2.3-kHz band effectively predicted LFP, outperforming the average spectral power of the same band.

Conclusions:

Voice-focus adjustments significantly impact both the acoustic transfer function of the vocal tract and the spontaneous fine-tuning of audio–vocal integration. This influence becomes particularly pronounced when sound intensity or perceived loudness is changed within the frequency range of 0.2–2.3 kHz, depending on the voice focus selected by the speakers.

Supplemental Material:

https://doi.org/10.23641/asha.27183483
Domain‐independent adaptive histogram‐based features for pomegranate fruit and leaf diseases classification
Authors: Prajwala Mohanmuralidhar , Kumar Prabhuswamy Prajwal , Gopinath Shanubhog Maheshwarappa , Palaiahnakote Shivakumara , Basavanna Mahadevappa , Lopresti Daniel P.
Published: November 2024

Disease identification for fruits and leaves in the field of agriculture is important for estimating production, crop yield, and earnings for farmers. In the specific case of pomegranates, this is challenging because of the wide range of possible diseases and their effects on the plant and the crop. This study presents an adaptive histogram‐based method for solving this problem. Our method describe is domain independent in the sense that it can be easily and efficiently adapted to other similar smart agriculture tasks. The approach explores colour spaces, namely, Red, Green, and Blue along with Grey. The histograms of colour spaces and grey space are analysed based on the notion that as the disease changes, the colour also changes. The proximity between the histograms of grey images with individual colour spaces is estimated to find the closeness of images. Since the grey image is the average of colour spaces (R, G, and B), it can be considered a reference image. For estimating the distance between grey and colour spaces, the proposed approach uses a Chi‐Square distance measure. Further, the method uses an Artificial Neural Network for classification. The effectiveness of our approach is demonstrated by testing on a dataset of fruit and leaf images affected by different diseases. The results show that the method outperforms existing techniques in terms of average classification rate.
Analysis for sparse channel representation based on dictionary learning in massive MIMO systems
Authors: Guan Qing‐Yang
Published: November 2024

The accuracy analysis of dictionary sparse representation for channels in massive MIMO systems is a relatively unexplored field. Existing research has primarily focused on investigating the accuracy of dictionary sparse representation using simulation in massive MIMO systems, but has not provided quantitative accuracy analysis. To address this gap, the correlation numerical proportional factor is proposed to represent the accuracy performance of non‐zero elements in the coefficient matrix. Additionally, a qualitative analytical formula for dictionary sparse representation accuracy is provided and an optimal upper bound for the correlation numerical proportional factor is established. Furthermore, the innovation indicates that the accuracy of dictionary sparse representation is mainly influenced by the cross‐correlation between the pilots matrix and the dictionary matrix, as well as sparsity. The author has also developed a method for minimizing the correlation numerical proportional factor. In order to obtain an optimal sparse representation coefficient matrix, a cross‐correlation matrix is constructed and an analytical expression is derived for it as well as its use as an optimal hard decision threshold is determined. Finally, a sparse representation coefficient optimization algorithm is proposed using this optimal threshold. Simulation results demonstrate that this algorithm can significantly improve channel sparse dictionary representation accuracy.
Unit commitment in solar‐based integrated energy distribution systems with electrical, thermal and natural gas flexibilities: Application of information gap decision theory
Authors: Nasiri Nima , Zeynali Saeed , Ravadanegh Sajad Najafi
Published: November 2024

The depleting oil reserves, air pollution and increasing energy demand, have overturned the focus of the scientific community to renewable energy sources. Among which the photovoltaic (PV) systems occupy more than half of the market share and are generally installed at the distribution level. The volatile and uncertain nature of these PV productions necessitates flexible resources in energy systems. To this end, the district heating systems have an outstanding flexibility on account of their high thermal inertia. This study investigates the optimal unit commitment scheduling for gas‐fired and non‐gas‐fired distributed generation units (NGU) in an integrated energy distribution system (IEDS) within the physical constraints of the electrical, natural gas and thermal energy distribution networks. Moreover, a planning‐based optimization framework is proposed to investigate the investment of battery storage systems in the electric distribution network under the high penetration of PV systems with the aim of enhancing flexibility and reducing the operating costs of the IEDS. In this framework, the information gap decision theory is deployed under risk‐averse and risk‐seeker strategies to deal with uncertain PV energy production. Additionally, the environmental emissions are considered in a multi‐objective approach. The IEDS is embodied through IEEE 33‐bus EDS, 20‐node natural gas network and an 8‐node district heating systems. Eventually, The proposed approach makes a noteworthy contribution to the advancement of solar energy systems in IEDS.