bluuebunny/crossref_metadata_2025_split huggingface dataset:
Calibration of CAMS PM2.5 data over Hungary: a machine learning approach
Authors: Qor-el-aine Achraf , Béres András , Géczi Gábor 
Published: July 2024

Abstract
Air pollution is a major environmental problem, and reliable monitoring of particulate matter (PM) concentrations is critical for assessing its impact on human health and the environment. The Copernicus Atmosphere Monitoring Service (CAMS) offers vital data on PM2.5 concentrations by applying a worldwide modelling system. This study compares in situ PM2.5 measurements and raw CAMS data at 0.1° × 0.1° resolutions for 2019 and 2020 in Hungary. It proposes a calibration method to improve the accuracy of CAMS PM2.5 data at the scale of air monitoring stations. In the study, the accuracy of the raw CAMS PM2.5 data is assessed based on the chosen air quality stations. Then, to improve the precision, we employed machine learning algorithms (LightGBM, Random Forest (RF), and Multiple Linear Regression (MLR)) for calibration. Initial assessment of the raw CAMS PM2.5 data showed positive hourly Spearman correlation coefficient values (SR between 0.64 and 0.87 for the 14 air quality stations used), indicating a positive relationship between the datasets but a systemic underestimation. Our findings highlight LightGBM as the most effective method, consistently demonstrating elevated correlation SR and coefficient of determination R2 values reaching up to 0.95 and 0.93, respectively, and very good RSR (Root mean square error ratio) and NSE (Nash-Sutcliffe Efficiency) values (lower than 0.5 and higher than 0.75 for RSR and NSE, respectively). In contrast, RF yields mixed results, and MLR exhibits variable performance. By correcting underestimation and lowering modelling biases, the calibrated PM2.5 data better matches ground-based observations, which can be promising for using the obtained model for accurate estimation at individual air monitoring stations.
Repeat wildfire and smoke experiences shared by four communities in Southern California: local impacts and community needs
Authors: Hopfer Suellen , Jiao Anqi , Li Mengyi , Vargas Anna Lisa , Wu Jun 
Published: July 2024

Abstract
Families in unincorporated communities in Southern California’s Eastern Coachella Valley (ECV) increasingly experience the burden of repeat wildfires and smoke. This study describes their lived wildfire and smoke experiences, health impacts, unique community-level inequities that compound wildfire risk and air quality effects, communication preferences, and resource needs for future wildfire preparedness. A wildfire community vulnerability framework informed the focus group discussion guide, exploring individual, community, and local government level factors that potentially influence community response and mitigation behaviors to repeat wildfire and smoke. Ten focus groups with 118 participants occurred in spring 2023 with four communities in ECV, California. Findings center on narratives of acute wildfire-related experiences, including evacuation and burned trailer homes, acute and chronic self report physical and mental health impacts of wildfires and smoke, daily life disruptions, staying indoors for protection, and local interactions described as a community strength in responding to fires. Participants from unincorporated, low-income, and monolingual Spanish-speaking communities predominantly consisting of farm workers requested greater emergency preparedness and response information, training and education in Spanish, postfire resources, lower trash service fees, increased enforcement of illegal dumping and burning, and use of multimodal and bilingual communication channels for wildfire, smoke, and wind alerts.
Caregiver Experiences With an Internet-Delivered Insomnia Intervention: SHUTi-CARE Trial Primary Qualitative Analysis
Authors: Shaffer Kelly M , Perepezko Kate , Glazer Jillian V , Mattos Meghan K , Klinger Julie , Buysse Daniel J , Ritterband Lee M , Donovan Heidi 
Published: July 2024

Abstract

Background
Digital health interventions show potential to increase caregivers’ access to psychosocial care; however, it is unclear to what extent existing interventions may need to be tailored to meet caregivers’ unique needs.

Purpose
This study aimed to determine whether—and if so, how—an efficacious Internet-delivered insomnia program should be modified for caregivers. The generalizability of these findings beyond the tested program was also examined.

Methods
Higher-intensity family caregivers (N = 100; age M = 52.82 [SD = 13.10], 75% non-Hispanic White, 66% ≥college degree) received access to an Internet-based cognitive-behavioral therapy for insomnia (CBT-I) program. Participants who completed one or more intervention “Cores” provided open-ended feedback on their experience; nonusers (completed no Cores) shared their barriers.

Results
Most caregivers who used the program (n = 82, 82%) found it feasible, citing its user-friendly, fully automated online format. Many reported that CBT-I strategies were helpful, although some faced challenges in implementing these strategies due to the unpredictability of their caregiving responsibilities. Opinions were divided on the utility of tailoring the program for caregivers. Nonusers (n = 18, 18%) primarily cited concerns about time burden and lifestyle compatibility as usage barriers.

Conclusions
Delivering fully automated behavioral interventions through the Internet appears suitable for many caregivers. Extensive tailoring may not be required for most caregivers to benefit from an existing online CBT-I program, although additional guidance on integrating CBT-I strategies in the context of challenging sleep schedules and environments may help a subset of caregivers. Future research should explore how such tailoring may enhance digital health intervention uptake and effectiveness for caregivers.
Is nicotine vaping associated with subsequent initiation of cannabis or other substances from adolescence into young adulthood?
Authors: Perlmutter Alexander S , Keyes Katherine M , Giovenco Daniel , Martins Silvia S , Rudolph Kara E 
Published: July 2024

Abstract
Prior studies estimating longitudinal associations between nicotine vaping and subsequent initiation of cannabis and other substances (eg, cocaine, heroin) have been limited by short follow-up periods, convenience sampling, and possibly inadequate confounding control. We sought to address some of these gaps using the nationally representative Population Assessment of Tobacco and Health Study (PATH) to estimate longitudinal associations between nicotine vaping and the initiation of cannabis or other substances among adolescents transitioning to adulthood from 2013 to 2019, adjusting for treatment-confounder feedback. Estimands like the longitudinal average treatment effect were not identified because of extensive practical positivity violations. Therefore, we estimated longitudinal incremental propensity score effects, which were identified. We found that reduced odds of nicotine vaping were associated with decreased risks of cannabis or other substance initiation; these associations strengthened over time. For example, by the final wave (2018-2019), cannabis and other substance initiation risks were 6.2 (95% CI, 4.6-7.7) and 1.8 (95% CI, 0.4-3.2) percentage points lower when odds of nicotine vaping were reduced to be 90% lower in all preceding waves (2013-2014 to 2016-2018), as compared with observed risks. Strategies to lower nicotine vaping prevalence during this period may have resulted in fewer young people initiating cannabis and other substances.
Development of nitrogen-doped carbon-supported metal catalysts for green organic synthesis
Authors: Yasukawa Tomohiro 
Published: July 2024

Abstract
This review summarizes our development of nitrogen-doped carbon-supported metal catalysts for precise organic synthesis, including asymmetric carbon–carbon bond forming reactions and electrochemical synthesis. These catalysts have been successfully applied to continuous-flow reactions. The nitrogen dopants critically activate and stabilize metal species, enabling unique reactivity and expanding the potential for novel organic reactions in heterogeneous manner.
Reading language of the eyes in female depression
Authors: Moosavi Jonas , Resch Annika , Lecchi Alessandro , Sokolov Alexander N , Fallgatter Andreas J , Pavlova Marina A 
Published: July 2024

Abstract
Aberrations in non-verbal social cognition have been reported to coincide with major depressive disorder. Yet little is known about the role of the eyes. To fill this gap, the present study explores whether and, if so, how reading language of the eyes is altered in depression. For this purpose, patients and person-by-person matched typically developing individuals were administered the Emotions in Masked Faces task and Reading the Mind in the Eyes Test, modified, both of which contained a comparable amount of visual information available. For achieving group homogeneity, we set a focus on females as major depressive disorder displays a gender-specific profile. The findings show that facial masks selectively affect inferring emotions: recognition of sadness and anger are more heavily compromised in major depressive disorder as compared with typically developing controls, whereas the recognition of fear, happiness, and neutral expressions remains unhindered. Disgust, the forgotten emotion of psychiatry, is the least recognizable emotion in both groups. On the Reading the Mind in the Eyes Test patients exhibit lower accuracy on positive expressions than their typically developing peers, but do not differ on negative items. In both depressive and typically developing individuals, the ability to recognize emotions behind a mask and performance on the Reading the Mind in the Eyes Test are linked to each other in processing speed, but not recognition accuracy. The outcome provides a blueprint for understanding the complexities of reading language of the eyes within and beyond the COVID-19 pandemic.
Solid-state dynamics of binuclear N-heterocyclic carbene Au(I) rotor with para-phenylene rotator
Authors: Jiang Pingyu , Mikherdov Alexander S , Ito Hajime , Jin Mingoo 
Published: July 2024

Abstract
Molecular dynamics in the crystalline solid state, typically constrained by a densely packed crystal environment, may offer opportunities to control the physical properties of solid-state materials. In this work, a neutral crystalline molecular rotor featuring a para-phenylene rotator encapsulated by N-heterocyclic carbene ligands and connected via a C–Au–C rotational axis is presented. Single-crystal X-ray diffraction studies, along with variable temperature solid-state 2H NMR spin-echo measurements, confirm the presence of 180° 2-fold rotational dynamics of the para-phenylene moiety in the solid state.
A note on the two approaches to the distribution of surplus value
Authors: Park Hyun Woong , Rieu Dong-Min 
Published: July 2024

Abstract
In a recent issue of this Journal, Cogliano (in ‘Marx’s equalized rate of exploitation’, Cambridge Journal of Economics, 2023, vol. 47, no. 1, 133–69) provided a theoretical basis of the hypothesis that the rates of exploitation are uniform across industries. In this paper, we compare the hypothesis and an alternative approach that assumes that the value creation per unit concrete labour is uniform. As neither approach considers skill differentials, we provide an extended framework that incorporates skills explicitly for the comparison. In addition, our framework considers the value creation of workers as a function of their skills and efforts of labour and, following Yoshihara (in ‘Wealth, exploitation and labor discipline in the contemporary capitalist economy’, Metroeconomica, 1998, vol. 49, no.1, 23–61), we define the ratio between effort and wage as labour discipline. Within this framework, we show the following. The equalisation of the rates of exploitation is eventually assuming that the ratios between the value creation and wage are equalised and it implies that high-skilled workers experience proportionately weaker labour discipline whereas low-skilled workers experience stronger labour discipline. On the other hand, the alternative approach that assumes the equalisation of the value creation per unit concrete labour implies that high-skilled workers work proportionately less intensively whereas low-skilled workers work proportionately more intensively.
Avocado cultivar and tree-to-tree leaf compositional differences affect infestation severity of Pseudocysta perseae (Hemiptera: Tingidae)
Authors: Bosch Michael J , Liang Peishih , Sun Xiuxiu , Hall Sierra , Love Ken , Cox David , Matsumoto Tracie , Follett Peter A , Stockton Dara G 
Published: July 2024

Abstract
Avocado lace bug, Pseudocysta perseae (Heidemann) (Hemiptera: Tingidae), is a sap-feeding insect that feeds on the underside of avocado leaves. First observed in 2019, P. perseae has spread throughout the Hawaiian islands, causing premature leaf drop and decrease in avocado yield. Due to Hawai’i’s approximately 200 cultivars comprised of all 3 avocado races with extensive racial hybrids, we were able to investigate whether certain cultivars were more prone to experiencing higher P. perseae abundances and infestations compared to others. We conducted longitudinal abundance surveys on Hawai’i Island across several common avocado varieties monitoring changes in P. perseae abundance. These surveys were supplemented with longitudinal infestation severity surveys across 4 avocado lineages (Mexican, Guatemalan, West Indian, and Guatemalan × West Indian hybrid). Additionally, we collected leaves of ‘Sharwil’, ‘Hass’, ‘Kahalu’u’, and ‘Nishikawa’ cultivars looking at associations between P. perseae abundance and cultivar, herbivory-related biomechanical traits, and soluble sugar content. We found that some cultivars, such as ‘Malama’, typically experience lower P. perseae abundances compared to cultivars such as ‘Kahalu’u’, ‘Beshore’, and ‘Sharwil’. Guatemalan × West Indian hybrid trees were also shown to have a higher probability of experiencing more severe P. perseae infestations compared to other lineages. Lastly, soluble sugar content, specifically fructose content, had a positive effect on juvenile P. perseae abundance. These findings suggest that cultivar differences in P. perseae infestations may exist, but tree-to-tree leaf compositional differences, such as soluble sugar content, may be a large driver of variation in P. perseae abundance.
Worked examples for peer interaction: a feedback and learning resource
Authors: Lam Daniel M K 
Published: July 2024

Abstract
Feedback penetrates many walks of our lives, and its importance in L2 teaching and assessment is well recognised. However, while corrective feedback and writing feedback have been the focus of much L2 research and classroom practice, there seems relatively little attention to feedback on spoken interactional skills. Concomitantly, translating research on interactional competence (IC) to classroom practice has been a glacial process. Aiming at supporting teachers in providing assessment feedback and teaching IC in the classroom, this article introduces worked examples of peer interactions as a feedback and learning resource. Adopting a procedure used in conversation analytic (CA) research, the worked examples are designed to guide learners to notice and understand IC features in context, at a less cognitively demanding pace for processing, and promote learners’ active engagement with the feedback or teaching focus. The article concludes with suggestions for teachers to develop similar resources for their local contexts.
Mitonuclear compatibility is maintained despite relaxed selection on male mitochondrial DNA in bivalves with doubly uniparental inheritance
Authors: Smith Chase H , Mejia-Trujillo Raquel , Havird Justin C 
Published: July 2024

Abstract
Mitonuclear coevolution is common in eukaryotes, but bivalve lineages that have doubly uniparental inheritance (DUI) of mitochondria may be an interesting example. In this system, females transmit mtDNA (F mtDNA) to all offspring, while males transmit a different mtDNA (M mtDNA) solely to their sons. Molecular evolution and functional data suggest oxidative phosphorylation (OXPHOS) genes encoded in M mtDNA evolve under relaxed selection due to their function being limited to sperm only (vs. all other tissues for F mtDNA). This has led to the hypothesis that mitonuclear coevolution is less important for M mtDNA. Here, we use comparative phylogenetics, transcriptomics, and proteomics to understand mitonuclear interactions in DUI bivalves. We found nuclear OXPHOS proteins coevolve and maintain compatibility similarly with both F and M mtDNA OXPHOS proteins. Mitochondrial recombination did not influence mitonuclear compatibility and nuclear-encoded OXPHOS genes were not upregulated in tissues with M mtDNA to offset dysfunction. Our results support that selection maintains mitonuclear compatibility with F and M mtDNA despite relaxed selection on M mtDNA. Strict sperm transmission, lower effective population size, and higher mutation rates may explain the evolution of M mtDNA. Our study highlights that mitonuclear coevolution and compatibility may be broad features of eukaryotes.
Detailed validation of large-scale Sentinel-2-based forest disturbance maps across Germany
Authors: Reinosch Eike , Backa Julian , Adler Petra , Deutscher Janik , Eisnecker Philipp , Hoffmann Karina , Langner Niklas , Puhm Martin , Rüetschi Marius , Straub Christoph , Waser Lars T , Wiesehahn Jens , Oehmichen Katja 
Published: July 2024

Abstract
Monitoring forest areas with satellite data has become a vital tool to derive information on disturbances in European forests at large scales. An extensive validation of generated maps is essential to evaluate their potential and limitations in detecting various disturbance patterns. Here, we present the validation results of forest disturbance maps generated for four study areas in Germany using Sentinel-2 data from 2018 to 2022. We apply a time series filtering method to map annual forest disturbances larger than 0.1 ha based on spectral clustering and annual change magnitude. The presented method is part of a research study to design a precursor for a national German forest disturbance monitoring system. In this context, annual forest change areas are used to estimate affected timber volume and related economic losses. To better understand the thematic accuracies and the reliability of the area estimates, we performed an independent and extensive validation of the annual product using 20 validation sets embedded in our four study areas and comprising a total of 11 019 sample points. The collected reference datasets are based on an expert interpretation of high-resolution aerial and satellite imagery, including information on the dominant tree species, disturbance cause, and disturbance severity level. Our forest disturbance map achieves an overall accuracy of 99.1 ± 0.1% in separating disturbed from undisturbed forest. This is mainly indicative of the accuracy for undisturbed forest, as that class covers 97.2% of the total forest area. For the disturbed forest class, the user’s accuracy is 84.4 ± 2.0% and producer’s accuracy is 85.1 ± 3.4% for 2018 to 2022. The similar user’s and producer’s accuracies indicate that the total disturbance area is estimated accurately. However, for 2022, we observe an overestimation of the total disturbance extent, which we attribute to the high drought stress in that year leading to false detections, especially around forest edges. The accuracy varies widely among validation sets and seems related to the disturbance cause, the disturbance severity, and the disturbance patch size. User’s accuracies range from 31.0 ± 8.4% to 98.8 ± 1.3%, while producer’s accuracies range from 60.5 ± 37.3% to 100.0 ± 0.0% across the validation sets. These variations highlight that the accuracy of a single local validation set is not representative of a region with a large diversity of disturbance patterns, such as Germany. This emphasizes the need to assess the accuracies of large-scale disturbance products in as many different study areas as possible, to cover different patch sizes, disturbance severities, and disturbance causes.
Impact of tRNA-induced proline-to-serine mistranslation on the transcriptome of Drosophila melanogaster
Authors: Isaacson Joshua R , Berg Matthew D , Yeung William , Villén Judit , Brandl Christopher J , Moehring Amanda J 
Published: July 2024

Abstract
Mistranslation is the misincorporation of an amino acid into a polypeptide. Mistranslation has diverse effects on multicellular eukaryotes and is implicated in several human diseases. In Drosophila melanogaster, a serine transfer RNA (tRNA) that misincorporates serine at proline codons (P→S) affects male and female flies differently. The mechanisms behind this discrepancy are currently unknown. Here, we compare the transcriptional response of male and female flies to P→S mistranslation to identify genes and cellular processes that underlie sex-specific differences. Both males and females downregulate genes associated with various metabolic processes in response to P→S mistranslation. Males downregulate genes associated with extracellular matrix organization and response to negative stimuli such as wounding, whereas females downregulate aerobic respiration and ATP synthesis genes. Both sexes upregulate genes associated with gametogenesis, but females also upregulate cell cycle and DNA repair genes. These observed differences in the transcriptional response of male and female flies to P→S mistranslation have important implications for the sex-specific impact of mistranslation on disease and tRNA therapeutics.
Gapless genome assembly and epigenetic profiles reveal gene regulation of whole-genome triplication in lettuce
Authors: Cao Shuai , Sawettalake Nunchanoke , Shen Lisha 
Published: July 2024

Abstract

Background
Lettuce, an important member of the Asteraceae family, is a globally cultivated cash vegetable crop. With a highly complex genome (∼2.5 Gb; 2n = 18) rich in repeat sequences, current lettuce reference genomes exhibit thousands of gaps, impeding a comprehensive understanding of the lettuce genome.

Findings
Here, we present a near-complete gapless reference genome for cutting lettuce with high transformability, using long-read PacBio HiFi and Nanopore sequencing data. In comparison to stem lettuce genome, we identify 127,681 structural variations (SVs, present in 0.41 Gb of sequence), reflecting the divergence of leafy and stem lettuce. Interestingly, these SVs are related to transposons and DNA methylation states. Furthermore, we identify 4,612 whole-genome triplication genes exhibiting high expression levels associated with low DNA methylation levels and high N6-methyladenosine RNA modifications. DNA methylation changes are also associated with activation of genes involved in callus formation.

Conclusions
Our gapless lettuce genome assembly, an unprecedented achievement in the Asteraceae family, establishes a solid foundation for functional genomics, epigenomics, and crop breeding and sheds new light on understanding the complexity of gene regulation associated with the dynamics of DNA and RNA epigenetics in genome evolution.
Malignant passions and carnal desires: rape in long eighteenth-century Scotland
Authors: Barclay Katie 
Published: July 2024

Abstract
Histories of lust have often been separated from that of rape, due to a concern with naturalizing male violence against women. However, ideas about lust have been significant at various historical moments in framing understandings of sexual violence and masculinity. This article explores how ideas of disorderly emotion, including lust, shaped the prosecution of rape in eighteenth-century Scotland. It highlights that placing legal accounts of rape within a framework of the ‘emotional ethics’ that guided early modern society helps to explain the low prosecution rates for rape in contexts where sexual violence was nonetheless considered sinful.