bluuebunny/crossref_metadata_2025_split huggingface dataset:
Why collaboration reduces suggestibility: The role of source-monitoring processes and retrieval strategies
Authors: Rossi-Arnaud Clelia , Spataro Pietro , Mastroberardino Serena , Lucaroni Enrica , Giannini Anna Maria , Cestari Vincenzo 
Published: June 2021

AbstractPrevious research found that collaboration reduces the tendency to yield to misleading questions. Here, the aim was to determine whether this occurs because collaboration induces a conservative change in response criterion or because it promotes more efficient error-checking strategies. To this purpose, we compared the performance of collaborative and nominal triads in the Gudjonsson Suggestibility Scale. Critically, we recorded conversations during retrieval, allowing us to compute inclusive scores and analyze retrieval strategies. Confirming previous evidence, results showed that collaborative groups yielded less to leading questions; however, the differences between collaborative and nominal groups in yield 1 were canceled when we took into account questions to which at least one participant in the collaborative group gave in but was corrected by collaborators during the discussion (the so-called inclusive scores). This was not the case for yield 2 and total suggestibility scores. Also, the analysis of retrieval strategies indicated that collaborative groups who used process-focused strategies (such as correction and cross-cueing) to a greater extent were less likely to change their responses after receiving the negative feedback and were less suggestible. We conclude that, while the use of error-checking and process-focused strategies played a role in reducing suggestibility in collaborative groups, the administration of negative feedback induced members of collaborative groups to adopt a more conservative response criterion. These results contribute to the understanding of the conditions that maximize the positive effects of collaborative retrieval. They have implications for policymakers and police practitioners, specifying when and how collaboration might be allowed.
Celebrate Diversity?
Authors: Huber Christian , Nicolay Philipp , Weber Simone 
Published: June 2021

ZusammenfassungSchulleistungen und soziale Integration sind im deutschen Schulsystem eng miteinander verbunden. Unklar ist, welche Rolle die Leistungs- und Verhaltensheterogenität für diesen Zusammenhang spielt. Vertreter*innen eines klassischen sozialpsychologischen Zugangs sagen für eine hohe Leistungs- und Verhaltensheterogenität eine Erhöhung des Risikos auf soziale Ausgrenzung (Risikohypothese) voraus, Vertreter*innen eines inklusionspädagogischen Zugangs eine Schutzfunktion (Schutzhypothese). Die vorliegende Studie untersucht, inwieweit die Leistungs- und Verhaltensheterogenität den Zusammenhang zwischen einem Förderbedarf in den Bereichen Lernen/Verhalten und sozialer Integration moderiert und ob die Richtung dieses Modertoreffekt im Sinne der Schutz- oder der Risikohypothese gedeutet werden kann. Hierzu wurden N = 1352 Grundschüler*innen in drei unterschiedlich heterogenen Schulsystemen (jahrgangsgetrennt, 1/2/3/4; teilweise jahrgangsübergreifend, 1–2/3–4; jahrgangsübergreifend, 1–4) in einer Querschnittstudie untersucht. Erhoben wurden, neben der sozialen Integration, Informationen über einen besonderen Förderbedarf in den Bereichen Lernen und Verhalten und Schulleistung. Das Schulsystem ging als unabhängige Variable auf Level 2, der Förderbedarf als unabhängige Variable auf Level 1 und die soziale Integration als abhängige Variable in die mehrebenenanalytische Auswertung ein. Analog zu bisher vorliegenden Befunden wurde ein signifikanter Haupteffekt beider Förderbedarfe auf die soziale Integration gefunden. Ferner zeigten vier von sechs Cross-Level-Effekten für den Förderbedarf Lernen Hinweise auf eine Gültigkeit der Schutzhypothese, kein Cross-Level-Effekt war im Sinne der Risikohypothese interpretierbar. Dieser Befund war nicht auf den Förderbedarf Verhalten übertragbar. Die Ergebnisse legen nahe, dass sich der Zusammenhang zwischen sozialer Integration und Förderbedarf Lernen mit zunehmender Leistungs- und Verhaltensheterogenität abschwächt. Gleichzeitig zeigte sich in den stark heterogenen Lerngruppen ein insgesamt erhöhtes Ausgrenzungsrisiko aller Schüler*innen unabhängig ihres Förderbedarfs. Die Ergebnisse lassen den Schluss zu, dass sich für Schüler*innen mit erhöhtem Förderbedarf Lernen im jahrgangsübergreifenden Lernen eine höhere Chance für eine gute soziale Integration einstellen könnte.
THE ARTEMIS ACCORDS: EVOLUTION OR REVOLUTION IN INTERNATIONAL SPACE LAW?
Authors: Deplano Rossana 
Published: June 2021

Abstract
Adopted in October 2020, the Artemis Accords are a set of 13 provisions establishing a principled framework for the sustainable human exploration of the Moon and the other celestial bodies, including the exploitation of their natural resources. This article examines the extent to which the Artemis Accords comply with international law and international standards. It argues that, while rooted on the provisions of the Outer Space Treaty, the Artemis Accords introduce a significant innovation in international space law by replacing the anticipatory approach to the regulation of outer space activities with the staged principle of adaptive governance.
Some remarks on the Zarankiewicz problem
Authors: CONLON DAVID 
Published: June 2021

AbstractThe Zarankiewicz problem asks for an estimate on z(m, n; s, t), the largest number of 1’s in an m × n matrix with all entries 0 or 1 containing no s × t submatrix consisting entirely of 1’s. We show that a classical upper bound for z(m, n; s, t) due to Kővári, Sós and Turán is tight up to the constant for a broad range of parameters. The proof relies on a new quantitative variant of the random algebraic method.
Monochorionic Dizygotic Twins Conceived Spontaneously Showed Chimerism in Karyotype and Blood Group Type
Authors: Yoshida Atsuko , Kaji Takashi , Sogawa Eishi , Yonetani Naoto , Suga Kenichi , Nakagawa Ryuji , Iwasa Takeshi 
Published: June 2021

AbstractWe report a very rare case of monochorionic dizygotic twins conceived spontaneously. The fetuses were sex-discordant in ultrasonography despite being monochorionic twins. After birth, the girl and boy showed normal phenotypes but they showed blood chimerism in karyotype and blood group type.
Wastewater Sample Site Selection to Estimate Geographically Resolved Community Prevalence of COVID‐19: A Sampling Protocol Perspective
Authors: Yeager R. , Holm R. H. , Saurabh K. , Fuqua J. L. , Talley D. , Bhatnagar A. , Smith T. 
Published: June 2021

AbstractWastewater monitoring for virus infections within communities can complement conventional clinical surveillance. Currently, most SARS‐CoV‐2 (severe acute respiratory syndrome coronavirus 2) clinical testing is voluntary and inconsistently available, except for a few occupational and educational settings, and therefore likely underrepresents actual population prevalence. Randomized testing on a regular basis to estimate accurate population‐level infection rates is prohibitively costly and is hampered by a range of limitations and barriers associated with participation in clinical research. In comparison, community‐level fecal monitoring can be performed through wastewater surveillance to effectively surveil communities. However, epidemiologically defined protocols for wastewater sample site selection are lacking. Herein, we describe methods for developing a geographically resolved population‐level wastewater sampling approach in Jefferson County, Kentucky, and present preliminary results. Utilizing this site selection protocol, samples (n = 237) were collected from 17 wastewater catchment areas, September 8 to October 30, 2020 from one to four times per week in each area and compared to concurrent clinical data aggregated to wastewater catchment areas and county level. SARS‐CoV‐2 RNA was consistently present in wastewater during the studied period, and varied by area. Data obtained using the site selection protocol showed variation in geographically resolved wastewater SARS‐CoV‐2 RNA concentration compared to clinical rates. These findings highlight the importance of neighborhood‐equivalent spatial scales and provide a promising approach for viral epidemic surveillance, thus better guiding spatially targeted public health mitigation strategies.
The Impact of Sudden Commencements on Ground Magnetic Field Variability: Immediate and Delayed Consequences
Authors: Smith Andrew W. , Forsyth Colin , Rae Jonathan , Rodger Craig J. , Freeman Mervyn P. 
Published: June 2021

AbstractWe examine how Sudden Commencements (SCs) and Storm Sudden Commencements (SSCs) influence the occurrence of high rates of change of the magnetic field (R) as a function of geomagnetic latitude. These rapid, high amplitude variations in the ground‐level geomagnetic field pose a significant risk to ground infrastructure, such as power networks, as the drivers of geomagnetically induced currents. We find that rates of change of ∼30 nT min−1 at near‐equatorial stations are up to 700 times more likely in an SC than in any random interval. This factor decreases with geomagnetic latitude such that rates of change around 30 nT min−1 are only up to 10 times more likely by 65°. At equatorial latitudes we find that 25% of all R in excess of 50 nT min−1 occurs during SCs. This percentage also decreases with geomagnetic latitude, reaching ≤1% by 55°. However, the time period from the SC to 3 days afterward accounts for ≥90% of geomagnetic field fluctuations over 50 nT min−1, up to ∼60° latitude. Above 60°, other phenomena such as isolated substorms account for the majority of large R. Furthermore, the elevated rates of change observed during and after SCs are solely due to those classified as SSCs. These results show that SSCs are the predominant risk events for large R at mid and low latitudes, but that the risk from the SC itself decreases with latitude.
Genetic polymorphisms associated with obesity in the Arab world: a systematic review
Authors: Younes Salma , Ibrahim Amal , Al-Jurf Rana , Zayed Hatem 
Published: June 2021

Abstract
Background
Obesity, one of the most common chronic health conditions worldwide, is a multifactorial disease caused by complex genetic and environmental interactions. Several association studies have revealed a considerable number of candidate loci for obesity; however, the genotype–phenotype correlations remain unclear. To date, no comprehensive systematic review has been conducted to investigate the genetic risk factors for obesity among Arabs.

Objectives
This study aimed to systematically review the genetic polymorphisms that are significantly associated with obesity in Arabs.

Methods
We searched four literature databases (PubMed, Science Direct, Scopus, and Google Scholar) from inception until May 2020 to obtain all reported genetic data related to obesity in Arab populations. Quality assessment and data extraction were performed individually by three investigators.

Results
In total, 59 studies comprising a total of 15,488 cases and 9,760 controls were included in the systematic review. A total of 76 variants located within or near 49 genes were reported to be significantly associated with obesity. Among the 76 variants, two were described as unique to Arabs, as they have not been previously reported in other populations, and 19 were reported to be distinctively associated with obesity in Arabs but not in non-Arab populations.

Conclusions
There appears to be a unique genetic and clinical susceptibility profile of obesity in Arab patients.
Genome-wide discovery of hidden genes mediating known drug-disease association using KDDANet
Authors: Yu Hua , Lu Lu , Chen Ming , Li Chen , Zhang Jin 
Published: June 2021

AbstractMany of genes mediating Known Drug-Disease Association (KDDA) are escaped from experimental detection. Identifying of these genes (hidden genes) is of great significance for understanding disease pathogenesis and guiding drug repurposing. Here, we presented a novel computational tool, called KDDANet, for systematic and accurate uncovering the hidden genes mediating KDDA from the perspective of genome-wide functional gene interaction network. KDDANet demonstrated the competitive performances in both sensitivity and specificity of identifying genes in mediating KDDA in comparison to the existing state-of-the-art methods. Case studies on Alzheimer’s disease (AD) and obesity uncovered the mechanistic relevance of KDDANet predictions. Furthermore, when applied with multiple types of cancer-omics datasets, KDDANet not only recapitulated known genes mediating KDDAs related to cancer, but also revealed novel candidates that offer new biological insights. Importantly, KDDANet can be used to discover the shared genes mediating multiple KDDAs. KDDANet can be accessed at http://www.kddanet.cn and the code can be freely downloaded at https://github.com/huayu1111/KDDANet.
RetiNerveNet: using recursive deep learning to estimate pointwise 24-2 visual field data based on retinal structure
Authors: Datta Shounak , Mariottoni Eduardo B. , Dov David , Jammal Alessandro A. , Carin Lawrence , Medeiros Felipe A. 
Published: June 2021

AbstractGlaucoma is the leading cause of irreversible blindness in the world, affecting over 70 million people. The cumbersome Standard Automated Perimetry (SAP) test is most frequently used to detect visual loss due to glaucoma. Due to the SAP test’s innate difficulty and its high test-retest variability, we propose the RetiNerveNet, a deep convolutional recursive neural network for obtaining estimates of the SAP visual field. RetiNerveNet uses information from the more objective Spectral-Domain Optical Coherence Tomography (SDOCT). RetiNerveNet attempts to trace-back the arcuate convergence of the retinal nerve fibers, starting from the Retinal Nerve Fiber Layer (RNFL) thickness around the optic disc, to estimate individual age-corrected 24-2 SAP values. Recursive passes through the proposed network sequentially yield estimates of the visual locations progressively farther from the optic disc. While all the methods used for our experiments exhibit lower performance for the advanced disease group (possibly due to the “floor effect” for the SDOCT test), the proposed network is observed to be more accurate than all the baselines for estimating the individual visual field values. We further augment the proposed network to additionally predict the SAP Mean Deviation values and also facilitate the assignment of higher weightage to the underrepresented groups in the data. We then study the resulting performance trade-offs of the RetiNerveNet on the early, moderate and severe disease groups.
Interpersonal physiological synchrony is associated with first person and third person subjective assessments of excitement during cooperative joint tasks
Authors: Murata Aiko , Nomura Keishi , Watanabe Junji , Kumano Shiro 
Published: June 2021

AbstractInterpersonal physiological synchrony has been shown to play important roles in social activities. While most studies have shed light on the effects of physiological synchrony on recognition of the group state, such as cohesion or togetherness, the effect of physiological synchrony on the recognition of emotional experience has not been adequately researched. In this study, we examined how physiological synchrony is associated with first- and third-person emotion recognition during a joint task. Two participants played a cooperative block-stacking game (Jenga), alternating their roles as player and adviser, while their heart rates were recorded. The participants evaluated their own emotional experience for each turn. Bystanders watched the game to evaluate the players’ emotions. Results showed that the players’ subjective excitement increased not only with their own heart rate, but also with increased heart rate synchrony with their adviser. Heart rate synchrony between player and adviser also related to increased intensity in perceived excitement from the bystanders. Given that both first- and third-person emotion recognition can have cumulative impacts on a group, the relationship between physiological synchrony and emotion recognition observed in the present study will help deepen understanding of the psychophysiological mechanisms underlying larger group phenomena such as crowd excitement.
Nanoscale slip length prediction with machine learning tools
Authors: Sofos Filippos , Karakasidis Theodoros E. 
Published: June 2021

AbstractThis work incorporates machine learning (ML) techniques, such as multivariate regression, the multi-layer perceptron, and random forest to predict the slip length at the nanoscale. Data points are collected both from our simulation data and data from the literature, and comprise Molecular Dynamics simulations of simple monoatomic, polar, and molecular liquids. Training and test points cover a wide range of input parameters which have been found to affect the slip length value, concerning dynamical and geometrical characteristics of the model, along with simulation parameters that constitute the simulation conditions. The aim of this work is to suggest an accurate and efficient procedure capable of reproducing physical properties, such as the slip length, acting parallel to simulation methods. Non-linear models, based on neural networks and decision trees, have been found to achieve better performance compared to linear regression methods. After the model is trained on representative simulation data, it is capable of accurately predicting the slip length values in regions between or in close proximity to the input data range, at the nanoscale. Results also reveal that, as channel dimensions increase, the slip length turns into a size-independent material property, affected mainly by wall roughness and wettability.
Lipidomic profiling of the developing kernel clarifies the lipid metabolism of Paeonia ostii
Authors: Yu Shui-Yan , Zhang Ying , Lyu Yu-Ping , Yao Zu-Jie , Hu Yong-Hong 
Published: June 2021

AbstractLipid components in the developing kernel of Paeonia ostii were determined, and the fatty acid (FA) distributions in triacylglycerol and phospholipids were characterized. The lipids in the kernel were mainly phospholipids (43%), neutral glycerides (24%), fatty acyls (26%), and sphingolipids (4.5%). The dominant neutral glycerides were TAG and diacylglycerol. The PL components included phosphatidic acid, phosphatidyl glycerol, phosphatidyl choline, phosphatidyl serine, phosphatidyl inositol, and phosphatidyl ethanolamine. As the kernel developed, the profiles of the molecular species comprising TAG and PL changed, especially during the earlier phases of oil accumulation. During rapid oil accumulation, the abundances of sphingosine-1-phosphate, pyruvic acid, stearic acid, and alpha-linolenic acid changed significantly; the sphingolipid metabolism and unsaturated FAs biosynthesis pathways were significantly enriched in these differentially abundant metabolites. Our results improve our understanding of lipid accumulation in tree peony seeds, and provide a framework for the analysis of lipid metabolisms in other oil crops.
Impact of COVID-19 on older adults and role of long-term care facilities during early stages of epidemic in Italy
Authors: Amore Stefano , Puppo Emanuela , Melara Josué , Terracciano Elisa , Gentili Susanna , Liotta Giuseppe 
Published: June 2021

AbstractOlder adults are the main victims of the novel COVID-19 coronavirus outbreak and elderly in Long Term Care Facilities (LTCFs) are severely hit in terms of mortality. This paper presents a quantitative study of the impact of COVID-19 outbreak in Italy during first stages of the epidemic, focusing on the effects on mortality increase among older adults over 80 and its correlation with LTCFs. The study of growth patterns shows a power-law scaling regime for the first stage of the pandemic with an uneven behaviour among different regions as well as for the overall mortality increase according to the different impact of COVID-19. However, COVID-19 incidence rate does not fully explain the differences of mortality impact in older adults among different regions. We define a quantitative correlation between mortality in older adults and the number of people in LTCFs confirming the tremendous impact of COVID-19 on LTCFs. In addition a correlation between LTCFs and undiagnosed cases as well as effects of health system dysfunction is also observed. Our results confirm that LTCFs did not play a protective role on older adults during the pandemic, but the higher the number of elderly people living in LTCFs the greater the increase of both general and COVID-19 related mortality. We also observed that the handling of the crises in LTCFs hampered an efficient tracing of COVID-19 spread and promoted the increase of deaths not directly attributed to SARS-CoV-2.
N2O dynamics in the western Arctic Ocean during the summer of 2017
Authors: Heo Jang-Mu , Kim Seong-Su , Kang Sung-Ho , Yang Eun Jin , Park Ki-Tae , Jung Jinyoung , Cho Kyoung-Ho , Kim Ju-Hyoung , Macdonald Alison M. , Yoon Joo-Eun , Kim Hyo-Ryeon , Eom Sang-Min , Lim Jae-Hyun , Kim Il-Nam 
Published: June 2021

AbstractThe western Arctic Ocean (WAO) has experienced increased heat transport into the region, sea-ice reduction, and changes to the WAO nitrous oxide (N2O) cycles from greenhouse gases. We investigated WAO N2O dynamics through an intensive and precise N2O survey during the open-water season of summer 2017. The effects of physical processes (i.e., solubility and advection) were dominant in both the surface (0–50 m) and deep layers (200–2200 m) of the northern Chukchi Sea with an under-saturation of N2O. By contrast, both the surface layer (0–50 m) of the southern Chukchi Sea and the intermediate (50–200 m) layer of the northern Chukchi Sea were significantly influenced by biogeochemically derived N2O production (i.e., through nitrification), with N2O over-saturation. During summer 2017, the southern region acted as a source of atmospheric N2O (mean: + 2.3 ± 2.7 μmol N2O m−2 day−1), whereas the northern region acted as a sink (mean − 1.3 ± 1.5 μmol N2O m−2 day−1). If Arctic environmental changes continue to accelerate and consequently drive the productivity of the Arctic Ocean, the WAO may become a N2O “hot spot”, and therefore, a key region requiring continued observations to both understand N2O dynamics and possibly predict their future changes.
Susceptibility of cyclin-dependent kinase inhibitor 1-deficient mice to rheumatoid arthritis arising from interleukin-1β-induced inflammation
Authors: Takashima Yoshinori , Hayashi Shinya , Fukuda Koji , Maeda Toshihisa , Tsubosaka Masanori , Kamenaga Tomoyuki , Kikuchi Kenichi , Fujita Masahiro , Kuroda Yuichi , Hashimoto Shingo , Nakano Naoki , Matsumoto Tomoyuki , Kuroda Ryosuke 
Published: June 2021

AbstractWe recently reported that cyclin-dependent kinase inhibitor 1 (p21) deficiency induces osteoarthritis susceptibility. Here, we determined the mechanism underlying the effect of p21 in synovial and cartilage tissues in RA. The knee joints of p21-knockout (p21−/−) (n = 16) and wild type C57BL/6 (p21+/+) mice (n = 16) served as in vivo models of collagen antibody-induced arthritis (CAIA). Arthritis severity was evaluated by immunological and histological analyses. The response of p21 small-interfering RNA (siRNA)-treated human RA FLSs (n = 5 per group) to interleukin (IL)-1β stimulation was determined in vitro. Arthritis scores were higher in p21−/− mice than in p21+/+ mice. More severe synovitis, earlier loss of Safranin-O staining, and cartilage destruction were observed in p21−/− mice compared to p21+/+ mice. p21−/− mice expressed higher levels of IL-1β, TNF-α, F4/80, CD86, p-IKKα/β, and matrix metalloproteinases (MMPs) in cartilage and synovial tissues via IL-1β-induced NF-kB signaling. IL-1β stimulation significantly increased IL-6, IL-8, and MMP expression, and enhanced IKKα/β and IκBα phosphorylation in human FLSs. p21-deficient CAIA mice are susceptible to RA phenotype alterations, including joint cartilage destruction and severe synovitis. Therefore, p21 may have a regulatory role in inflammatory cytokine production including IL-1β, IL-6, and TNF-α.