bluuebunny/crossref_metadata_2025_split huggingface dataset:
Multiyear analysis uncovers coordinated seasonality in stocks and composition of the planktonic food web in the Baltic Sea proper
Authors: Fridolfsson Emil , Bunse Carina , Lindehoff Elin , Farnelid Hanna , Pontiller Benjamin , Bergström Kristofer , Pinhassi Jarone , Legrand Catherine , Hylander Samuel 
Published: July 2023

AbstractThe planktonic realm from bacteria to zooplankton provides the baseline for pelagic aquatic food webs. However, multiple trophic levels are seldomly included in time series studies, hampering a holistic understanding of the influence of seasonal dynamics and species interactions on food web structure and biogeochemical cycles. Here, we investigated plankton community composition, focusing on bacterio-, phyto- and large mesozooplankton, and how biotic and abiotic factors correlate at the Linnaeus Microbial Observatory (LMO) station in the Baltic Sea from 2011 to 2018. Plankton communities structures showed pronounced dynamic shifts with recurring patterns. Summarizing the parts of the planktonic microbial food web studied here to total carbon, a picture emerges with phytoplankton consistently contributing > 39% while bacterio- and large mesozooplankton contributed ~ 30% and ~ 7%, respectively, during summer. Cyanophyceae, Actinobacteria, Bacteroidetes, and Proteobacteria were important groups among the prokaryotes. Importantly, Dinophyceae, and not Bacillariophyceae, dominated the autotrophic spring bloom whereas Litostomatea (ciliates) and Appendicularia contributed significantly to the consumer entities together with the more traditionally observed mesozooplankton, Copepoda and Cladocera. Our findings of seasonality in both plankton composition and carbon stocks emphasize the importance of time series analyses of food web structure for characterizing the regulation of biogeochemical cycles and appropriately constraining ecosystem models.
Detection of invasive and native beetle species within trees by chemical analysis of frass
Authors: Fujiwara-Tsujii Nao , Yasui Hiroe 
Published: July 2023

AbstractIn recent years, several invasive woodborers (Coleoptera: Cerambycidae) have been found in Japan. Aromia bungii is a worldwide important pest of fruits and ornamental species of the genus Prunus. It invaded Japan in the early 2010s and now causes heavy damage to stone fruit trees. Anoplophora glabripennis and Apriona swainsoni are destructive pests of street, ornamental and horticultural trees. The first step in intercepting these beetles is to detect their presence early in their infestation, as accurate identification is crucial for their management. Ejected frass is a major sign of infestation and likely holds information on the insect. We focused on chemicals in both larvae and frass, and conducted a GC–MS analysis of these three invasive beetles and the native Anoplophora malasiaca. In all four species, 4 or 5 species-specific hydrocarbons were detected in both larvae and frass. These results indicate that analysis of hydrocarbons in frass could allow definitive detection of invasive wood-boring pests.
CCND1-associated ceRNA network reveal the critical pathway of TPRG1-AS1-hsa-miR-363-3p-MYO1B as a prognostic marker for head and neck squamous cell carcinoma
Authors: Li Zehao , Qiu Xinguang , He Qi , Fu Xinghao , Ji Feihong , Tian Xiufen 
Published: July 2023

AbstractHead and neck squamous cell carcinoma (HNSC) is one of the leading causes of cancer death globally, yet there are few useful biomarkers for early identification and prognostic prediction. Previous studies have confirmed that CCND1 amplification is closely associated with head and neck oncogenesis, and the present study explored the ceRNA network associated with CCND1. Gene expression profiling of the Head and Neck Squamous Cell Carcinoma (HNSC) project of The Cancer Genome Atlas (TCGA) program identified the TPRG1-AS1-hsa-miR-363-3P-MYO1B gene regulatory axis associated with CCND1. Further analysis of the database showed that MYOB was regulated by methylation in head and neck tumors, and functional enrichment analysis showed that MYO1B was involved in "actin filament organization" and "cadherin binding ". Immune infiltration analysis suggested that MYO1B may influence tumorigenesis and prognosis by regulating the immune microenvironment of HNSC. MYO1B enhanced tumor spread through the EMT approach, according to epithelial mesenchymal transition (EMT) characterisation. We analyzed both herbal and GSCALite databases and found that CCND1 and MYO1B have the potential as predictive biomarkers for the treatment of HNSC patients. RT-qPCR validated bioinformatic predictions of gene expression in vitro cell lines. In conclusion, we found a CCND1-related ceRNA network and identified the novel TPRG1-AS1-hsa-miR-363-3p-MYO1B pathway as a possible HNSC diagnostic biomarker and therapeutic target.
The role of dominance in sibling relationships: differences in interactive cooperative and competitive behavior
Authors: Hernandez-Pena Lucia , Hoppe Wiebke , Koch Julia , Keeler Charlotte , Waller Rebecca , Habel Ute , Sijben Rik , Wagels Lisa 
Published: July 2023

AbstractSiblings strongly influence each other in their social development and are a major source of support and conflict. Yet, studies are mostly observational, and little is known about how adult sibling relationships influence social behavior. Previous tasks exploring dynamically adjusting social interactions have limitations in the level of interactivity and naturalism of the interaction. To address these limitations, we created a cooperative tetris puzzle-solving task and an interactive version of the chicken game task. We validated these two tasks to study cooperative and competitive behavior in real-time interactions (N = 56). Based on a dominance questionnaire (DoPL), sibling pairs were clustered into pairs that were both low in dominance (n = 7), both high in dominance (n = 8), or one low and one high in dominance (n = 13). Consistent with our hypothesis, there were significantly more mutual defections, less use of turn-taking strategies, and a non-significant trend for reduced success in solving tetris puzzles together among high dominance pairs compared to both other pair types. High dominant pairs also had higher Machiavellian and hypercompetitiveness traits and more apathetic sibling relationships. Both tasks constitute powerful and reliable tools to study personality and relationship influences on real and natural social interactions by demonstrating the different cooperative and competitive dynamics between siblings.
A universal tool for predicting differentially active features in single-cell and spatial genomics data
Authors: Vandenbon Alexis , Diez Diego 
Published: July 2023

AbstractWith the growing complexity of single-cell and spatial genomics data, there is an increasing importance of unbiased and efficient exploratory data analysis tools. One common exploratory data analysis step is the prediction of genes with different levels of activity in a subset of cells or locations inside a tissue. We previously developed singleCellHaystack, a method for predicting differentially expressed genes from single-cell transcriptome data, without relying on comparisons between clusters of cells. Here we present an update to singleCellHaystack, which is now a universally applicable method for predicting differentially active features: (1) singleCellHaystack now accepts continuous features that can be RNA or protein expression, chromatin accessibility or module scores from single-cell, spatial and even bulk genomics data, and (2) it can handle 1D trajectories, 2-3D spatial coordinates, as well as higher-dimensional latent spaces as input coordinates. Performance has been drastically improved, with up to ten times reduction in computational time and scalability to millions of cells, making singleCellHaystack a suitable tool for exploratory analysis of atlas level datasets. singleCellHaystack is available as packages in both R and Python.
Toxicological assessment of pristine and degraded forms of graphene functionalized with MnOx nanoparticles using human in vitro models representing different exposure routes
Authors: Fernández-Pampín Natalia , González Plaza Juan José , García-Gómez Alejandra , Peña Elisa , Garroni Sebastiano , Poddighe Matteo , Rumbo Carlos , Barros Rocío , Martel-Martín Sonia , Aparicio Santiago , Tamayo-Ramos Juan Antonio 
Published: July 2023

AbstractThe development of novel advanced nanomaterials (NMs) with outstanding characteristics for their use in distinct applications needs to be accompanied by the generation of knowledge on their potential toxicological impact, in particular, that derived from different occupational risk exposure routes, such as inhalation, ingestion, and skin contact. The harmful effects of novel graphene-metal oxide composites on human health are not well understood, many toxicological properties have not been investigated yet. The present study has evaluated several toxicological effects associated with graphene decorated with manganese oxide nanoparticles (GNA15), in a comparative assessment with those induced by simple graphene (G2), on human models representing inhalation (A549 cell line), ingestion (HT29 cell line) and dermal routes (3D reconstructed skin). Pristine and degraded forms of these NMs were included in the study, showing to have different physicochemical and toxicological properties. The degraded version of GNA15 (GNA15d) and G2 (G2d) exhibited clear structural differences with their pristine counterparts, as well as a higher release of metal ions. The viability of respiratory and gastrointestinal models was reduced in a dose-dependent manner in the presence of both GNA15 and G2 pristine and degraded forms. Besides this, all NMs induced the production of reactive oxygen species (ROS) in both models. However, the degraded forms showed to induce a higher cytotoxicity effect. In addition, we found that none of the materials produced irritant effects on 3D reconstructed skin when present in aqueous suspensions. These results provide novel insights into the potentially harmful effects of novel multicomponent NMs in a comprehensive manner. Furthermore, the integrity of the NMs can play a role in their toxicity, which can vary depending on their composition and the exposure route.
Urban population prediction based on multi-objective lioness optimization algorithm and system dynamics model
Authors: Li Dong , Yu Yanyan , Wang Bo 
Published: July 2023

AbstractPopulation size is closely related to economic and social development and change. It is one of the primary and essential elements of overall urban development planning to formulate a population development strategy scientifically through population projections. Therefore, we propose an urban population prediction model based on a multi-objective lioness optimization algorithm and system dynamics. The multi-objective lioness optimization algorithm is used to optimize some critical parameters of the system dynamics model to reduce the subjectivity of the model construction. Taking Xi’an as an example, the validity of the model is verified, and the population size of Xi’an from 2019 to 2050 is predicted by the model. In addition, the impact of different policies and their combinations on the future population is discussed through simulations of three scenarios composed of five policy factors: birth, employment, science and technology, healthcare and education. The results show that the total population of Xi’an will peak at 147,939,242 in 2040, based on current development trends. Moreover, the five policies with the largest to smallest positive effect on population size are: employment policy, fertility policy, education policy, science and technology policy, and health policy, with employment and fertility policies having significantly larger effects than the other three. Therefore, the employment policy and the birth policy are the two most effective policies to promote population growth, and the coordinated implementation of the five policies is the fastest way to increase population size.
Young people’s mental and social distress in times of international crisis: evidence from helpline calls, 2019–2022
Authors: Brülhart Marius , Klotzbücher Valentin , Lalive Rafael 
Published: July 2023

AbstractWe document mental and social distress of children, adolescents and adults, using data on 3 million calls to German helplines between January 2019 and May 2022. High-frequency data from crisis helpline logs offer rich information on the evolution of “revealed distress” among the most vulnerable, unaffected by researchers’ study design and framing. Distress of adults, measured by the volume of calls, rose significantly after both the outbreak of the pandemic and the Russian invasion of Ukraine. In contrast, the overall revealed distress of children and adolescents did not increase during those crises. The nature of young people’s concerns, however, changed more strongly than for adults after the COVID-19 outbreak. Consistent with the effects of social distancing, call topics of young people shifted from problems with school and peers to problems with family and mental health. We find the share of severe mental health problems among young people to have increased with a delay, in the second and third year of the pandemic.
Comparison of the Jcerity endoscoper airway and the endotracheal tube in endoscopic esophageal variceal ligation: a prospective randomized controlled trial
Authors: Zhang Le , Li Lu , Wang Jun , Zhao Can , Zhao Erxian , Li Yanrong , Lv Yunqi 
Published: July 2023

AbstractVarious airway techniques have been used in endoscopic esophageal variceal ligation (EVL). In this respect, Jcerity endoscoper airway (JEA) is a novel laryngeal mask airway that is designed for use in gastrointestinal endoscopy. In the present study, 164 patients who underwent EVL were randomly divided into JEA group or endotracheal tube (ETT) group (ratio: 1:1). Success rate of endoscopic procedure, endoscope insertion time, procedure duration, recovery time, airway technique extubation time, anesthesia costs, hospital stay duration, complications, and hemodynamic parameters were recorded. The success rate of EVL in the JEA group was noninferior to that in the ETT group (98.8% vs. 100.0%). The airway insertion time, anesthesia duration, and recovery time were significantly shorter in the JEA group than in the ETT group (p < 0.001). Furthermore, the blood pressure during extubation was more stable in the JEA group (p < 0.001). Moreover, there were less heart rate variations during intubation (p < 0.005) and extubation (p < 0.05) in the JEA group. Nonetheless, the endoscopists’ satisfaction scores were comparable between the two groups. Overall, our findings suggest that JEA is efficient and safe for clinical use in EVL.Trial registration: Chinese Clinical Trial Registry, ChiCTR2000031892, Registered April 13, 2020, https://www.chictr.org.cn/searchproj.html.
Feasibility of software-based assessment for automated evaluation of tooth preparation for dental crown by using a computational geometric algorithm
Authors: Han Sangjun , Yi Yuseung , Revilla-León Marta , Yilmaz Burak , Yoon Hyung-In 
Published: July 2023

AbstractThe purpose of this study was to propose the concept of software-based automated evaluation (SAE) of tooth preparation quality using computational geometric algorithms, and evaluate the feasibility of SAE in the assessment of abutment tooth preparation for single-unit anatomic contour crowns by comparing it with a human-based digitally assisted evaluation (DAE) by trained human evaluators. Thirty-five mandibular first molars were prepared for anatomical contour crown restoration by graduate students. Each prepared tooth was digitized and evaluated in terms of occlusal reduction and total occlusal convergence using SAE and DAE. Intra-rater agreement for the scores graded by the SAE and DAE and inter-rater agreement between the SAE and DAE were analyzed with the significance level (α) of 0.05. The evaluation using the SAE protocol demonstrated perfect intra-rater agreement, whereas the evaluation using the DAE protocol showed moderate-to-good intra-rater agreement. The evaluation values of the SAE and DAE protocols showed almost perfect inter-rater agreement. The SAE developed for tooth preparation evaluation can be used for dental education and clinical skill feedback. SAE may minimize possible errors in the conventional rating and provide more reliable and precise assessments than the human-based DAE.
Cold storage as part of a Varroa management strategy: effects on honey bee colony performance, mite levels and stress biomarkers
Authors: Meikle William G. , Corby-Harris Vanessa , Ricigliano Vincent , Snyder Lucy , Weiss Milagra 
Published: July 2023

AbstractPlacing honey bee colonies in cold storage has been proposed as a way to induce a pause in brood production as part of a Varroa mite treatment plan. Here, we exposed colonies to combinations of with or without an October cold storage period and with or without a subsequent miticide application. We then measured the effects of those treatments on colony-level variables (i.e. colony size, Varroa infestation level, survivorship and hive weight and temperature) and pooled individual-level variables that are associated with nutritional and stress responses. Colonies were assessed before and after cold storage, and again post winter, for a total duration of about 5 months, and the experiment was repeated. Brood levels were significantly lower after cold storage, and hive temperatures indicated that most or all brood had emerged after about two weeks in cold storage. However, Varroa levels at the end of the experiments in February were not significantly different among treatment groups. Colonies kept outside (not subjected to cold storage) and treated with a miticide had higher survivorship on average than any other treatment group, but no other group comparisons were significant, and long-term impact of cold storage on adult bee populations and on colony thermoregulation was low. The bee forage environment was also very different between the 2 years of the study, as rainfall and bee forage availability were much higher the second year. Colonies were over 2.5 times larger on average the second year compared to the first, both in terms of adult bee mass and brood area, and expression levels of nutrition and stress response genes were also significantly higher the second year. The results indicate that limited cold storage would likely have little long-term impact on most colony and individual measures of health, but for such a strategy to succeed levels of stressors, such as Varroa, may also need to be low.
Mass transfer analysis and kinetic modeling of ultrasound-assisted osmotic dehydration of kiwifruit slices
Authors: Salehi Fakhreddin , Cheraghi Rana , Rasouli Majid 
Published: July 2023

AbstractUltrasound treatments (sonication) in combination with osmotic dehydration process accelerate the rate of moisture removal from the fruits or vegetables pieces and decrease the dehydration duration. The purpose of this study was to examine the influence of ultrasound-assisted osmotic dehydration (UAOD) on mass transfer kinetic (soluble solids gain and moisture loss) of kiwifruit slices. The UAOD process was performed using 20, 30, and 40% sucrose solutions in ultrasonic bath (40 kHz, 75 and 150 W) for 10, 20, 30, 40, 50, 60, 70, and 80 min. After treatments, processed kiwifruit slices were dried at 70 °C using hot air oven. UAOD process reveals that mass reduction, soluble solid gain, moisture loss and rehydration capacity affected by treatments time, sucrose solution concentration and sonication power. The results showed that the UAOD treatment increased moisture loss and soluble solids gain. Furthermore, kiwifruit slices treated with higher ultrasound intensity (150 W) showed reduced dehydration duration (higher water loss), improved dehydration rate, and increased effective moisture diffusivity (Deff). The Deff determined by Fick's second law was varied from 9.05 × 10–11 to 29.28 × 10–11 m2s-1. The experimental data of dehydration curve of kiwifruit slices were fitted to different thin-layer equations and the Page equation with empirical constants was the best describing the of kiwifruit slices dehydration.
Genomic signatures suggesting adaptation to ocean acidification in a coral holobiont from volcanic CO2 seeps
Authors: Leiva Carlos , Pérez-Portela Rocío , Lemer Sarah 
Published: July 2023

AbstractOcean acidification, caused by anthropogenic CO2emissions, is predicted to have major consequences for reef-building corals, jeopardizing the scaffolding of the most biodiverse marine habitats. However, whether corals can adapt to ocean acidification and how remains unclear. We addressed these questions by re-examining transcriptome and genome data ofAcropora milleporacoral holobionts from volcanic CO2seeps with end-of-century pH levels. We show that adaptation to ocean acidification is a wholistic process involving the three main compartments of the coral holobiont. We identified 441 coral host candidate adaptive genes involved in calcification, response to acidification, and symbiosis; population genetic differentiation in dinoflagellate photosymbionts; and consistent transcriptional microbiome activity despite microbial community shifts. Coral holobionts from natural analogues to future ocean conditions harbor beneficial genetic variants with far-reaching rapid adaptation potential. In the face of climate change, these populations require immediate conservation strategies as they could become key to coral reef survival.
Spin-texture topology in curved circuits driven by spin-orbit interactions
Authors: Hijano A. , Rodríguez E. J. , Bercioux D. , Frustaglia D. 
Published: July 2023

AbstractInterferometry is a powerful technique used to extract valuable information about the wave function of a system. In this work, we study the response of spin carriers to the effective field textures developed in curved one-dimensional interferometric circuits subject to the joint action of Rashba and Dresselhaus spin-orbit interactions. By using a quantum network technique, we establish that the interplay between these two non-Abelian fields and the circuit’s geometry modify the geometrical characteristics of the spinors, particularly on square circuits, leading to the localisation of the electronic wave function and the suppression of the quantum conductance. We propose a topological interpretation by classifying the corresponding spin textures in terms of winding numbers.
Seafloor earthquake ruptures and mass wasting from the 2004 Mw 6.3 Les Saintes submarine earthquake
Authors: Hughes Alex , Escartín Javier , Billant Jeremy , Leclerc Frédérique , Andreani Muriel , Olive Jean-Arthur , Arnaubec Aurélien , Dano Alexandre , Delorme Arthur , Deplus Christine , Feuillet Nathalie , Gini Caroline , Gracias Nuno , Hamelin Cédric , Istenič Klemen , Komorowski Jean-Christophe , Le Friant Anne , Marchand Claire , Mével Catherine , Onstad Solveig Lie , Quidelleur Xavier 
Published: July 2023

AbstractThe seismic hazard posed by submarine faults and the capacity of submarine earthquakes to trigger mass wasting are poorly understood because we lack detailed characterizations of coseismic ruptures at the seafloor. Here, we present comprehensive mapping of a seafloor rupture caused by the 2004Mw6.3 Les Saintes earthquake on the Roseau normal fault in the Lesser Antilles. We report the visual characteristics, displacement profile, and note pronounced asymmetry of the rupture that bears similarities with well-studied subaerial normal fault ruptures. We also identify footwall-derived mass wasted debris that locally cover the coseismic rupture, and show that ground accelerations of 0.1–0.2 g can trigger submarine mass wasting events in well consolidated bedrock along unstable, over-steepened, scarps. Our study demonstrates the potential of underwater vehicles for detailed mapping of seafloor ruptures and hints at a key role for earthquakes in shaping submarine bedrock landscapes by triggering mass wasting events.