bluuebunny/crossref_metadata_2025_split huggingface dataset:
Don’t Keep It Too Simple
Authors: Rammstedt Beatrice , Roemer Lena , Danner Daniel , Lechner Clemens M. 
Published: December 2022

Abstract: When formulating questionnaire items, generally accepted rules include: Keeping the wording as simple as possible and avoiding double-barreled items. However, the empirical basis for these rules is sparse. The present study aimed to systematically investigate in an experimental design whether simplifying items of a personality scale and avoiding double-barreled items (i.e., items that contain multiple stimuli) markedly increases psychometric quality. Specifically, we compared the original items of the Big Five Inventory-2 – most of which are either double-barreled or can be regarded as complexly formulated – with simplified versions of the items. We tested the two versions using a large, heterogeneous sample ( N = 2,234). The simplified versions did not possess better psychometric quality than their original counterparts; rather, they showed weaker factorial validity. Regarding item characteristics, reliability, and criterion validity, no substantial differences were identified between the original and simplified versions. These findings were also replicated for the subsample of lower-educated respondents, who are considered more sensitive to complex item formulations. Our study thus suggests that simplifying item wording and avoiding double-barreled items in a personality inventory does not improve the quality of a questionnaire; rather, using simpler (and consequently more vague) item formulations may even decrease factorial validity.
How Energy Enters the Magnetosphere During a Substorm: A Perspective After 60 Years of Working in the Field
Authors: Haerendel Gerhard 
Published: December 2022

AbstractThis paper begins with a summary of my path into space physics and the following four decades of active research in ionosphere and magnetosphere. The following perspective part addresses the main subject in four steps, from flow braking and diversions prior to substorm onset, via the attachment of the magnetic field carried by the flow bursts, to the transformation of the incoming momentum and energy and their earthward propagation, and finally, the generation of the poleward arcs, auroral electrojet, and substorm current wedge. This is done mostly by a critical assessment of results and concepts from the author's research from 1992 to 2021. The outcome is a new scenario of the origin of the breakup arcs, auroral electrojet, and substorm current wedge.
Enhanced Biogeochemical Cycling Along the U.S. West Coast Shelf
Authors: Damien Pierre , Bianchi Daniele , McWilliams James C. , Kessouri Faycal , Deutsch Curtis , Chen Ru , Renault Lionel 
Published: December 2022

AbstractContinental margins play an essential role in global ocean biogeochemistry and the carbon cycle; however, global assessments of this role remain highly uncertain. This uncertainty arises from the large variability over a broad range of temporal and spatial scales of the processes that characterize these environments. High‐resolution simulations with ocean biogeochemical models have emerged as essential tools to advance biogeochemical assessments at regional scales. Here, we examine the processes and balances for carbon, oxygen, and nitrogen cycles along the U.S. West Coast in an 11‐year hindcast simulation with a submesoscale‐permitting oceanic circulation coupled to a biogeochemical model. We describe and quantify the biogeochemical cycles on the continental shelf, and their connection to the broader regional context encompassing the California Current System. On the shelf, coastal and wind stress curl upwelling drive a vigorous overturning circulation that supports biogeochemical rates and fluxes that are approximately twice as large as offshore. Exchanges with the proximate sediments, submesoscale shelf currents, bottom boundary layer transport, and intensified cross‐shelf export of shelf‐produced materials further impact coastal and open‐ocean balances. While regional variability prevents extrapolation of our results to global margins, our approach provides a powerful tool to identify the dominant dynamics in different shelf setting and quantify their large‐scale consequences.
Cysteine dioxygenase 1 attenuates the proliferation via inducing oxidative stress and integrated stress response in gastric cancer cells
Authors: Ma Gang , Zhao Zhenzhen , Qu Yang , Cai Fenglin , Liu Siya , Liang Han , Zhang Rupeng , Deng Jingyu 
Published: December 2022

AbstractWhereas cysteine dioxygenase 1 (CDO1) expression is lost due to its hypermethylated promoter across a range of cancer types including gastric cancer (GC), its functions and molecular underpinnings remain largely unknown. Here we demonstrate that reduced CDO1 expression is indicative of unfavorable prognosis in patients with GC. CDO1 overexpression in GC cells markedly inhibits cellular proliferation in vitro and in vivo. Mechanistically, CDO1 exerts this cytostatic effect via increasing oxidative stress and thus activating integrated stress response (ISR) in GC cells. High throughput screening (HTS) of antioxidants library identifies that Engeletin, a flavanonol glycoside, blunts oxidative stress and the ISR to relieve the inhibitory effect of CDO1 on the proliferation in GC cells. Additionally, genetic disruption or pharmaceutical inhibition of the ISR boosts the growth in the GC cells with CDO1 expression. Our data uncover the molecular mechanisms underlying the cytostatic function of CDO1 in the proliferation of GC cells.
Evidence of structural discontinuities in the inner core of red-giant stars
Authors: Vrard Mathieu , Cunha Margarida S. , Bossini Diego , Avelino Pedro P. , Corsaro Enrico , Mosser Benoît 
Published: December 2022

AbstractRed giants are stars in the late stages of stellar evolution. Because they have exhausted the supply of hydrogen in their core, they burn the hydrogen in the surrounding shell . Once the helium in the core starts fusing, the star enters the clump phase, which is identified as a striking feature in the color-magnitude diagram. Since clump stars share similar observational properties, they are heavily used in astrophysical studies, as probes of distance, extinction through the galaxy, galaxy density, and stellar chemical evolution. In this work, we perform the detailed observational characterization of the deepest layers of clump stars using asteroseismic data from Kepler. We find evidence for large core structural discontinuities in about 6.7% of the stars in our sample, implying that the region of mixing beyond the convective core boundary has a radiative thermal stratification. These stars are otherwise similar to the remaining stars in our sample, which may indicate that the building of the discontinuities is an intermittent phenomenon.
Lithiated Prussian blue analogues as positive electrode active materials for stable non-aqueous lithium-ion batteries
Authors: Zhang Ziheng , Avdeev Maxim , Chen Huaican , Yin Wen , Kan Wang Hay , He Guang 
Published: December 2022

AbstractPrussian blue analogues (PBAs) are appealing active materials for post-lithium electrochemical energy storage. However, PBAs are not generally suitable for non-aqueous Li-ion storage due to their instability upon prolonged cycling. Herein, we assess the feasibility of PBAs with various lithium content for non-aqueous Li-ion storage. We determine the crystal structure of the lithiated PBAs via neutron powder diffraction measurements and investigate the influence of water on structural stability and Li-ion migration through operando X-ray diffraction measurements and bond valence simulations. Furthermore, we demonstrate that a positive electrode containing Li2-xFeFe(CN)6⋅nH2O (0 ≤ x ≤ 2) active material coupled with a Li metal electrode and a LiPF6-containing organic-based electrolyte in coin cell configuration delivers an initial discharge capacity of 142 mAh g−1 at 19 mA g−1 and a discharge capacity retention of 80.7% after 1000 cycles at 1.9 A g−1. By replacing the lithium metal with a graphite-based negative electrode, we also report a coin cell capable of cycling for more than 370 cycles at 190 mA g−1 with a stable discharge capacity of about 105 mAh g−1 and a discharge capacity retention of 98% at 25 °C.
Temperature-adaptive hydrogel optical waveguide with soft tissue-affinity for thermal regulated interventional photomedicine
Authors: Chen Guoyin , Hou Kai , Yu Nuo , Wei Peiling , Chen Tao , Zhang Caihong , Wang Shun , Liu Hongmei , Cao Ran , Zhu Liping , Hsiao Benjamin S. , Zhu Meifang 
Published: December 2022

AbstractPhotomedicine has gained great attention due to its nontoxicity, good selectivity and small trauma. However, owing to the limited penetration of light and difficult monitoring of the photo-media therapies, it is challenging to apply photomedical treatment in deep tissue as they may damage normal tissues. Herein, a thermal regulated interventional photomedicine based on a temperature-adaptive hydrogel fiber-based optical waveguide (THFOW) is proposed, capable of eliminating deeply seated tumor cells while lowering risks of overtemperature (causes the death of healthy cells around the tumor). The THFOW is fabricated by an integrated homogeneous-dynamic-crosslinking-spinning method, and shows a remarkable soft tissue-affinity (low cytotoxicity, swelling stability, and soft tissue-like Young’s modulus). Moreover, the THFOW shows an excellent light propagation property with different wavenumbers (especially −0.32 dB cm−1 with 915 nm laser light), and temperature-gated light propagation effect. The THFOW and relevant therapeutic strategy offer a promising application for intelligent photomedicine in deep issue.
The PAD-US-AR dataset: Measuring accessible and recreational parks in the contiguous United States
Authors: Browning Matthew H. E. M. , Rigolon Alessandro , Ogletree Scott , Wang Ruoyu , Klompmaker Jochem O. , Bailey Christopher , Gagnon Ryan , James Peter 
Published: December 2022

AbstractMost spatial epidemiological studies of nature-health relationships use generalized greenspace measures. For instance, coarse-resolution spatial data containing normalized difference vegetative index (NDVI) values are prominent despite criticisms, such as the inability to restrain exposure estimates to public and private land. Non-threatening natural landscapes can improve health by building capacities for health-promoting behaviors. Recreational and accessible parks may best activate such behaviors. We curated the Parks and Protected Areas Database of the U.S. (PAD-US) to identify parks that are accessible for outdoor recreation. Our title adds “AR” to “PAD-US” where A = Accessible and R = Recreational. We validated the PAD-US-AR by comparisons with greenspace datasets and sociodemographics, which demonstrated its uniqueness from other commonly employed metrics of nature exposure. The PAD-US-AR presents reliable estimates of parks in the contiguous U.S. that are accessible for outdoor recreation. It has strong associations with home prices, shares of female residents, and shares of older residents. This dataset can accompany other nature exposure metrics in environmental epidemiology and allied research fields.
A global ocean dissolved organic phosphorus concentration database (DOPv2021)
Authors: Liang Zhou , McCabe Kelly , Fawcett Sarah E. , Forrer Heather J. , Hashihama Fuminori , Jeandel Catherine , Marconi Dario , Planquette Hélène , Saito Mak A. , Sohm Jill A. , Thomas Rachel K. , Letscher Robert T. , Knapp Angela N. 
Published: December 2022

AbstractDissolved organic phosphorus (DOP) concentration distributions in the global surface ocean inform our understanding of marine biogeochemical processes such as nitrogen fixation and primary production. The spatial distribution of DOP concentrations in the surface ocean reflect production by primary producers and consumption as an organic nutrient by phytoplankton including diazotrophs and other microbes, as well as other loss processes such as photolysis. Compared to dissolved organic carbon and nitrogen, however, relatively few marine DOP concentration measurements have been made, largely due to the lack of automated analysis techniques. Here we present a database of marine DOP concentration measurements (DOPv2021) that includes new (n = 730) and previously published (n = 3140) observations made over the last ~30 years (1990–2021), including 1751 observations in the upper 50 m. This dataset encompasses observations from all major ocean basins including the poorly represented Indian, South Pacific, and Southern Oceans and provides insight into spatial distributions of DOP in the ocean. It is also valuable for researchers who work on marine primary production and nitrogen fixation.
Influence of fine particle content in debris flows on alluvial fan morphology
Authors: Chen Tzu-Yin Kasha , Hung Chi-Yao , Mullenbach Jared , Hill Kimberly 
Published: December 2022

AbstractAlluvial fans are large-scale depositional structures commonly found at the base of mountain ranges. They are relatively soil-rich compared to the rocky terrains, or catchment areas, from which their material originates. When frequented by debris flows (massive, muddy, rocky flows) they contribute significantly to local hazards as they carry focused, collisional, fast-moving materials across alluvial fans, unpredictable in size, speed, and direction. We research how fine particle content in debris flows correlates with directional changes, i.e., debris flow avulsions. Toward this, we analyzed field data from two neighboring alluvial fans in the White Mountains (California, USA) that exhibit dramatically different topographies despite their proximity and associated similar long-term climates. Informed by these measurements, we performed long-term and incremental alluvial fan experiments built by debris flows with systematically-varied fine particle content. We found that (1) decreasing fine particle content increases the variability of fan slopes and associated channelization dynamics, and (2) for all mixtures longer-term continuous alluvial fan experiments form more complex surface channelizations than repeated flows for the same total time, indicating the importance of both particle sizes and timescales on alluvial fan surface morphology.
Novel method to delineate palatal rugae and assess their complexity using fractal analysis
Authors: Makrygiannakis Miltiadis A. , Vastardis Heleni , Athanasiou Athanasios E. , Halazonetis Demetrios J. 
Published: December 2022

AbstractPalatal rugae constitute significant morphological landmarks, with wide clinical applications in forensics, insertion of mini-screws, and superimposition. Their morphology has been studied mainly with indices relevant to their qualitative characteristics. The present paper aims at presenting a new quantitative method to evaluate their complexity, by means of box-counting fractal dimension analysis, and to investigate its inter- and intra-rater reliability. Twenty maxillary plaster models were scanned for the needs of this study. A sequence of steps, including cropping of the mesh, ball pivoting, distance mapping and fractal dimension analysis, performed with Viewbox 4 software, was followed. Box-counting fractal dimensions were calculated as a measure of rugae’s complexity. Inter- and intra-rater reliability were investigated, using Bland–Altman analysis. Fractal dimensions ranged from 1.274 to 1.491 (average: 1.412). Bland–Altman analysis of inter- and intra-examiner reliability demonstrated that the 95% limits of agreement ranged from − 0.012 to 0.011 and from − 0.004 to 0.004, respectively. The method is reliable and can be applied in research and forensics. It offers comprehensive evaluation of the rugae’s complexity and a complete set of information about their outlines and height profiles, with minimum user intervention.
The harmonium model and its unified system view of psychopathology: a validation study by means of a convolutional neural network
Authors: Antonucci Linda A. , Bellantuono Loredana , Kleinbub Johann Roland , Lella Annalisa , Palmieri Arianna , Salvatore Sergio 
Published: December 2022

AbstractThe harmonium model (HM) is a recent conceptualization of the unifying view of psychopathology, namely the idea of a general mechanism underpinning all mental disorders (the p factor). According to HM, psychopathology consists of a low dimensional Phase Space of Meaning (PSM), where each dimension of meaning maps a component of the environmental variability. Accordingly, the lower thenumber of independent dimensions in the PSM, and hence its intrinsic complexity, the more limited the way of interpreting the environment. The current simulation study, based on a Convolutional Neural Network (CNN) framework, aims at validating the HM low-dimensionality hypothesis. CNN-based classifiers were employed to simulate normotypical and pathological cognitive processes. Results revealed that normotypical and pathological CNNs were different in terms of both classification performance and layer activation patterns. Using Principal Component Analysis to characterize the PSM associated with the two algorithms, we found that the performance of the normotypical CNN relies on a larger and more evenly distributed number of components, compared with the pathological one. This finding might be indicative of the fact that psychopathology can be modelled as a low-dimensional, poorly modulable PSM, which means the environment is detected through few components of meaning, preventing complex information patterns from being taken into account.
Pan-kinome of Legionella expanded by a bioinformatics survey
Authors: Krysińska Marianna , Baranowski Bartosz , Deszcz Bartłomiej , Pawłowski Krzysztof , Gradowski Marcin 
Published: December 2022

AbstractThe pathogenic Legionella bacteria are notorious for delivering numerous effector proteins into the host cell with the aim of disturbing and hijacking cellular processes for their benefit. Despite intensive studies, many effectors remain uncharacterized. Motivated by the richness of Legionella effector repertoires and their oftentimes atypical biochemistry, also by several known atypical Legionella effector kinases and pseudokinases discovered recently, we undertook an in silico survey and exploration of the pan-kinome of the Legionella genus, i.e., the union of the kinomes of individual species. In this study, we discovered 13 novel (pseudo)kinase families (all are potential effectors) with the use of non-standard bioinformatic approaches. Together with 16 known families, we present a catalog of effector and non-effector protein kinase-like families within Legionella, available at http://bioinfo.sggw.edu.pl/kintaro/. We analyze and discuss the likely functional roles of the novel predicted kinases. Notably, some of the kinase families are also present in other bacterial taxa, including other pathogens, often phylogenetically very distant from Legionella. This work highlights Nature’s ingeniousness in the pathogen–host arms race and offers a useful resource for the study of infection mechanisms.
Impacts of soil nutrition on floral traits, pollinator attraction, and fitness in cucumbers (Cucumis sativus L.)
Authors: Vaudo Anthony D. , Erickson Emily , Patch Harland M. , Grozinger Christina M. , Mu Junpeng 
Published: December 2022

AbstractAnnual plants allocate soil nutrients to floral display and pollinator rewards to ensure pollination success in a single season. Nitrogen and phosphorus are critical soil nutrients whose levels are altered by intensive land use that may affect plants’ fitness via pollinator attractiveness through floral display and rewards. In a controlled greenhouse study, we studied in cucumbers (Cucumis sativus) how changes in soil nitrogen and phosphorus influence floral traits, including nectar and pollen reward composition. We evaluated how these traits affect bumble bee (Bombus impatiens, an important cucumber pollinator) visitation and ultimately fruit yield. While increasing nitrogen and phosphorus increased growth and floral display, excess nitrogen created an asymptotic or negative effect, which was mitigated by increasing phosphorus. Male floral traits exhibited higher plasticity in responses to changes in soil nutrients than female flowers. At 4:1 nitrogen:phosphorus ratios, male flowers presented increased nectar volume and pollen number resulting in increased bumble bee visitation. Interestingly, other pollinator rewards remained consistent across all soil treatments: male and female nectar sugar composition, female nectar volume, and pollen protein and lipid concentrations. Therefore, although cucumber pollination success was buffered in conditions of nutrient stress, highly skewed nitrogen:phosphorus soil ratios reduced plant fitness via reduced numbers of flowers and reward quantity, pollinator attraction, and ultimately yield.
Class II LitR serves as an effector of “short” LOV-type blue-light photoreceptor in Pseudomonas mendocina
Authors: Maruyama Takafumi , Sumi Satoru , Kobayashi Mitsuru , Ebuchi Teppei , Kanesaki Yu , Yoshikawa Hirofumi , Ueda Kenji , Takano Hideaki 
Published: December 2022

AbstractPmlR2, a class II LitR/CarH family transcriptional regulator, and PmSB-LOV, a “short” LOV-type blue light photoreceptor, are adjacently encoded in Pseudomonas mendocina NBRC 14162. An effector protein for the “short” LOV-type photoreceptor in Pseudomonas has not yet been identified. Here, we show that PmlR2 is an effector protein of PmSB-LOV. Transcriptional analyses revealed that the expression of genes located near pmlR2 and its homolog gene, pmlR1, was induced in response to illumination. In vitro DNA–protein binding analyses showed that recombinant PmlR2 directly binds to the promoter region of light-inducible genes. Furthermore PmSB-LOV exhibited a typical LOV-type light-induced spectral change. Gel-filtration chromatography demonstrated that the illuminated PmSB-LOV was directly associated with PmlR2, whereas non-illuminated proteins did not interact. The inhibition of PmlR2 function following PmSB-LOV binding was verified by surface plasmon resonance: the DNA-binding ability of PmlR2 was specifically inhibited in the presence of blue light-illuminated-PmSB-LOV. An In vitro transcription assay showed a dose-dependent reduction in PmlR2 repressor activity in the presence of illuminated PmSB-LOV. Overall, evidence suggests that the DNA-binding activity of PmlR2 is inhibited by its direct association with blue light-activated PmSB-LOV, enabling transcription of light-inducible promoters by RNA polymerase.
Gas pressure evolution characteristics of deep true triaxial coal and gas outburst based on acoustic emission monitoring
Authors: Zhang Xin , Tang Jupeng , Yu Honghao , Pan Yishan 
Published: December 2022

AbstractCoal and gas outburst is one of the geological disasters that seriously threaten the safety of coal mines production. In recent years, with the increase of mining depth, outbursts become frequent. To further explore the occurrence mechanism of deep coal and gas outburst, a self-developed true triaxial coal and gas outburst simulation device was used to simulate the coal and gas outburst at different depths. The results show that with the increase of simulation depth, the critical gas pressure of outburst gradually decreases, and the unit outburst intensity increases sharply. The gas threshold of deep coal and gas outburst is lower. During the incubation and excitation, gas pressure has three special variation rules, namely self-increasing characteristic, stage and instantaneous. In the early incubation, acoustic emission (AE) energy is at a low level, low energy frequency is dominant; in the later incubation, AE energy increases greatly, high energy frequency is dominant. From the perspective of AE energy, a quantitative index that reflects the danger of coal and gas outburst in the incubation is defined, which provides a scientific reference for the prediction and prevention of disasters of coal and gas outburst in deep mining.