bluuebunny/crossref_metadata_2025_split huggingface dataset:
Intelligenz‍(tests) verstehen und missverstehen
Authors: Sparfeldt Jörn R. , Becker Nicolas , Greiff Samuel , Kersting Martin , König Cornelius J. , Lang Jonas W. B. , Beauducel André 
Published: July 2022

Zusammenfassung. Die vorliegende Standortbestimmung zeigt die hohe wissenschaftliche Qualität der Intelligenzforschung und von Intelligenztests. Es werden aber auch mögliche Missverständnisse und Einseitigkeiten der Ergebnisrezeption und -interpretation thematisiert. Im Einzelnen werden (1) die hohe prognostische und kriterienbezogene Validität bei gleichzeitigen Vorbehalten wie teils niedriger Akzeptanz bzw. Augenscheinvalidität, (2) die Darstellung empirischer Befunde aus der Perspektive ausgewählter Theorien sowie (3) die Bedeutung von Umwelteinflüssen und hohen Erblichkeitskoeffizienten eingehender betrachtet. Für jeden dieser Bereiche wird verdeutlicht, dass vor allem Präzision bei der Rezeption und Darstellung von Forschungsergebnissen notwendig ist, um Einseitigkeiten, Missverständnisse und Instrumentalisierungen zu vermeiden. Der vorliegende Beitrag zeigt, dass einiges, was als Problem der Intelligenzforschung und von Intelligenztests kritisiert wird, letztendlich auf die dargestellten Missverständnisse zurückzuführen ist. Vor diesem Hintergrund wird der Unterschied zwischen der qualitativ hochwertigen Intelligenzforschung und Intelligenztestung einerseits sowie den Missverständnissen und Einseitigkeiten bei der Rezeption andererseits herausgearbeitet. Weiterhin werden berechtigte Kritikpunkte an der Intelligenzforschung und an Intelligenztests sowie Forschungsdesiderata benannt.
Optimal Domain Scale for Stochastic Urban Flood Damage Assessment Considering Triple Spatial Uncertainties
Authors: Lv Hong , Wu Zening , Meng Yu , Guan Xinjian , Wang Huiliang , Zhang Xiangyang , Ma Bingyan 
Published: July 2022

AbstractAs a key factor in the flood damage assessment process, the damage ratio is defined as the ratio of the potential damage value to the total risk assets at a certain inundation depth. Spatial variability of flood‐bearing elements caused spatial heterogeneity, local correlation and neighborhood non‐stationarity to the damage ratio. Thus, it is challenging to scientifically and rationally measure the damage ratio. In this study, a modeling framework of stochastic flood damage assessment functions was established to measure triple uncertainties. First, based on the maximum likelihood estimation method, migration data of the flood damage ratio were constructed as the beta distribution by heterogeneous multi‐attribute analogy. Then, the Markov chain Monte Carlo method, combined with a variant sliding window method, is used for sampling to generate spatially distributed samples. In addition, three risk factors were integrated grid by grid to assess flood damage. By taking the Jinshui District of Zhengzhou City in China as an example, economic losses during the 1%, 2%, 5% and 10% annual exceedance probability (AEP) floods were assessed, respectively. The results show that the economic losses showed a significant increasing trend with AEP. The optimal domain scales for industrial, commercial, residential and public service land uses were 19, 14, 25 and 32 m, respectively, and also varied with different AEP floods. The model was effectively verified by simulating and comparing historical data of the “7·20” flood event in Zhengzhou, China. This study aims to provide feasible ideas for uncertainty research of damage assessment methods.
TNF-α promotes α-synuclein propagation through stimulation of senescence-associated lysosomal exocytosis
Authors: Bae Eun-Jin , Choi Minsun , Kim Jeong Tae , Kim Dong-Kyu , Jung Min Kyo , Kim Changyoun , Kim Tae-Kyung , Lee Jun Sung , Jung Byung Chul , Shin Soo Jean , Rhee Ka Hyun , Lee Seung-Jae 
Published: July 2022

AbstractCell-to-cell propagation of α-synuclein is thought to be the underlying mechanism of Parkinson’s disease progression. Recent evidence suggests that inflammation plays an important role in the propagation of protein aggregates. However, the mechanism by which inflammation regulates the propagation of aggregates remains unknown. Here, using in vitro cultures, we found that soluble factors secreted from activated microglia promote cell-to-cell propagation of α-synuclein and further showed that among these soluble factors, TNF-α had the most robust stimulatory activity. Treatment of neurons with TNF-α triggered cellular senescence, as shown by transcriptomic analyses demonstrating induction of senescence-associated genes and immunoanalysis of senescence phenotype marker proteins. Interestingly, secretion of α-synuclein was increased in senescent neurons, reflecting acquisition of a senescence-associated secretory phenotype (SASP). Using vacuolin-1, an inhibitor of lysosomal exocytosis, and RNAi against rab27a, we demonstrated that the SASP was mediated by lysosomal exocytosis. Correlative light and electron microscopy and immunoelectron microscopy confirmed that propagating α-synuclein aggregates were present in electron-dense lysosome-like compartments. TNF-α promoted the SASP through stimulation of lysosomal exocytosis, thereby increasing the secretion of α-synuclein. Collectively, these results suggest that TNF-α is the major inflammatory factor that drives cell-to-cell propagation of α-synuclein by promoting the SASP and subsequent secretion of α-synuclein.
Efficacy of psychosocial interventions for Autism spectrum disorder: an umbrella review
Authors: Gosling Corentin J. , Cartigny Ariane , Mellier Baptiste C. , Solanes Aleix , Radua Joaquim , Delorme Richard 
Published: July 2022

Abstract
Introduction
The wide range of psychosocial interventions designed to assist people with Autism Spectrum Disorder (ASD) makes it challenging to compile and hierarchize the scientific evidence that supports the efficacy of these interventions. Thus, we performed an umbrella review of published meta-analyses of controlled clinical trials that investigated the efficacy of psychosocial interventions on both core and related ASD symptoms.

Methods
Each meta-analysis that was identified was re-estimated using a random-effects model with a restricted maximum likelihood estimator. The methodological quality of included meta-analyses was critically appraised and the credibility of the evidence was assessed algorithmically according to criteria adapted for the purpose of this study.

Results
We identified a total of 128 meta-analyses derived from 44 reports. More than half of the non-overlapping meta-analyses were nominally statistically significant and/or displayed a moderate-to-large pooled effect size that favored the psychosocial interventions. The assessment of the credibility of evidence pointed out that the efficacy of early intensive behavioral interventions, developmental interventions, naturalistic developmental behavioral interventions, and parent-mediated interventions was supported by suggestive evidence on at least one outcome in preschool children. Possible outcomes included social communication deficits, global cognitive abilities, and adaptive behaviors. Results also revealed highly suggestive indications that parent-mediated interventions improved disruptive behaviors in early school-aged children. The efficacy of social skills groups was supported by suggestive evidence for improving social communication deficits and overall ASD symptoms in school-aged children and adolescents. Only four meta-analyses had a statistically significant pooled effect size in a sensitivity analysis restricted to randomized controlled trials at low risk of detection bias.

Discussion
This umbrella review confirmed that several psychosocial interventions show promise for improving symptoms related to ASD at different stages of life. However, additional well-designed randomized controlled trials are still required to produce a clearer picture of the efficacy of these interventions. To facilitate the dissemination of scientific knowledge about psychosocial interventions for individuals with ASD, we built an open-access and interactive website that shares the information collected and the results generated during this umbrella review.

Pre-registration
PROSPERO ID CRD42020212630.
Detection of dental fomites using topical fluorescein
Authors: Newsom Richard , Pattison Chris , Amara Adam , Louca Chris 
Published: July 2022

AbstractBackground Thorough disinfection of dental facilities is of paramount importance during the COVID-19 pandemic. Patients, clinicians, students and nurses can all be infected by aerosols and dental droplets bearing COVID-19. However, droplets are transparent and often microscopic, so are difficult to detect in clinical practice.Methods To better understand the spread of dental droplets, we stained the dental irrigant with fluorescein and performed a series of procedures on a dental manikin. We then viewed droplets and fomite spread around the dental chair, with and without an ultraviolet (UV) light.Results Observations without the UV light showed minimal or no fluid spread. However, using UV light, we detected fluorescein on the dentist, chairs and the handpiece, as well as splatter on the floor and on the instrument tray. This was of educational value to the staff, who were reminded how far droplets had spread.Conclusion Fluorescein facilitates the detection of droplet spread and helps clinical staff to see high-risk areas that require in-depth cleaning. As clinical grade fluorescein is cheap and widely available, this technique may be useful for dental practices to train staff in the thorough decontamination of the clinical environment.
Who does what to whom? graph representations of action-predication in speech relate to psychopathological dimensions of psychosis
Authors: Nikzad Amir H. , Cong Yan , Berretta Sarah , Hänsel Katrin , Cho Sunghye , Pradhan Sameer , Behbehani Leily , DeSouza Danielle D. , Liberman Mark Y. , Tang Sunny X. 
Published: July 2022

AbstractGraphical representations of speech generate powerful computational measures related to psychosis. Previous studies have mostly relied on structural relations between words as the basis of graph formation, i.e., connecting each word to the next in a sequence of words. Here, we introduced a method of graph formation grounded in semantic relationships by identifying elements that act upon each other (action relation) and the contents of those actions (predication relation). Speech from picture descriptions and open-ended narrative tasks were collected from a cross-diagnostic group of healthy volunteers and people with psychotic or non-psychotic disorders. Recordings were transcribed and underwent automated language processing, including semantic role labeling to identify action and predication relations. Structural and semantic graph features were computed using static and dynamic (moving-window) techniques. Compared to structural graphs, semantic graphs were more strongly correlated with dimensional psychosis symptoms. Dynamic features also outperformed static features, and samples from picture descriptions yielded larger effect sizes than narrative responses for psychosis diagnoses and symptom dimensions. Overall, semantic graphs captured unique and clinically meaningful information about psychosis and related symptom dimensions. These features, particularly when derived from semi-structured tasks using dynamic measurement, are meaningful additions to the repertoire of computational linguistic methods in psychiatry.
Long-term outcome of patients with vaccine-induced immune thrombotic thrombocytopenia and cerebral venous sinus thrombosis
Authors: Kehr Sarah , Berg Philipp , Müller Susanne , Fiedler Sarah A. , Meyer Britta , Ruppert-Seipp Gabriele , Witzenhausen Cornelia , Wolf Marc E. , Henkes Hans H. , Oberle Doris , Keller-Stanislawski Brigitte , Funk Markus B. 
Published: July 2022

AbstractWe present the long-term outcomes of 44 patients who developed cerebral venous sinus thrombosis after vaccination with the adenoviral vector ChAdOx1 nCoV-19 COVID-19 vaccine. Assessment of the Extended Glasgow Outcome Scale was performed within 3–6 months after the initial hospital admissions. Patient outcomes ranged from good recovery (13 patients, 29.6%) to moderate disability (11 patients, 25.0%) and severe disability or vegetative state (6 patients, 13.6%). Fatal outcomes were reported in 14 patients (31.8%).
Gray matter volumetric correlates of attention deficit and hyperactivity traits in emerging adolescents
Authors: Li Clara S. , Chen Yu , Ide Jaime S. 
Published: July 2022

AbstractPrevious research has demonstrated reduction in cortical and subcortical, including basal ganglia (BG), gray matter volumes (GMV) in individuals with attention deficit hyperactivity disorder (ADHD), a neurodevelopmental condition that is more prevalent in males than in females. However, the volumetric deficits vary across studies. Whether volumetric reductions are more significant in males than females; to what extent these neural markers are heritable and relate to cognitive dysfunction in ADHD remain unclear. To address these questions, we followed published routines and performed voxel-based morphometry analysis of a data set (n = 11,502; 5,464 girls, 9–10 years) curated from the Adolescent Brain Cognition Development project, a population-based study of typically developing children. Of the sample, 634 and 2,826 were identified as monozygotic twins and dizygotic twins/siblings, respectively. In linear regressions, a cluster in the hypothalamus showed larger GMV, and bilateral caudate and putamen, lateral orbitofrontal and occipital cortex showed smaller GMVs, in correlation with higher ADHD scores in girls and boys combined. When examined separately, boys relative to girls showed more widespread (including BG) and stronger associations between GMV deficits and ADHD scores. ADHD traits and the volumetric correlates demonstrated heritability estimates (a2) between 0.59 and 0.79, replicating prior findings of the genetic basis of ADHD. Further, ADHD traits and the volumetric correlates (except for the hypothalamus) were each negatively and positively correlated with N-back performance. Together, these findings confirm volumetric deficits in children with more prominent ADHD traits. Highly heritable in both girls and boys and potentially more significant in boys than in girls, the structural deficits underlie diminished capacity in working memory and potentially other cognitive deficits in ADHD.
Genetic polymorphisms in TLR3, IL10 and CD209 influence the risk of BK polyomavirus infection after kidney transplantation
Authors: Redondo Natalia , Rodríguez-Goncer Isabel , Parra Patricia , López-Medrano Francisco , González Esther , Hernández Ana , Trujillo Hernando , Ruiz-Merlo Tamara , San Juan Rafael , Folgueira María Dolores , Andrés Amado , Aguado José María , Fernández-Ruiz Mario 
Published: July 2022

AbstractGenetic determinants of BK polyomavirus infection after kidney transplantation remain poorly investigated. We assessed the potential impact of 13 different single nucleotide polymorphisms within genes mainly involved in innate immune responses on the risk of BKPyV viremia in 204 KT recipients. After a median follow-up of 1121.5 days, the cumulative incidence of any-level BKPyV viremia was 24.5% (50/204). There was a significant association between the minor T allele of TLR3 (rs3775291) SNP and the development of BKPyV viremia (adjusted hazard ratio [aHR]: 2.16; 95% confidence interval [CI]: 1.08–4.30; P value = 0.029), whereas the minor G allele of CD209 (rs4804803) SNP exerted a protective role (aHR: 0.54; 95% CI: 0.29–1.00; P value = 0.050). A higher incidence of BKPyV viremia was also observed for the minor G allele of IL10 (rs1800872) SNP, although the absence of BKPyV events among homozygotes for the reference allele prevented multivariable analysis. The BKPyV viremia-free survival rate decreased with the increasing number of unfavorable genotypes (100% [no unfavorable genotypes], 85.4% [1 genotype], 70.9% [2 genotypes], 52.5% [3 genotypes]; P value = 0.008). In conclusion, SNPs in TLR3, CD209 and IL10 genes play a role in modulating the susceptibility to any-level BKPyV viremia among KT recipients.
Prediction of postoperative cardiac events in multiple surgical cohorts using a multimodal and integrative decision support system
Authors: Kim Renaid B. , Alge Olivia P. , Liu Gang , Biesterveld Ben E. , Wakam Glenn , Williams Aaron M. , Mathis Michael R. , Najarian Kayvan , Gryak Jonathan 
Published: July 2022

AbstractPostoperative patients are at risk of life-threatening complications such as hemodynamic decompensation or arrhythmia. Automated detection of patients with such risks via a real-time clinical decision support system may provide opportunities for early and timely interventions that can significantly improve patient outcomes. We utilize multimodal features derived from digital signal processing techniques and tensor formation, as well as the electronic health record (EHR), to create machine learning models that predict the occurrence of several life-threatening complications up to 4 hours prior to the event. In order to ensure that our models are generalizable across different surgical cohorts, we trained the models on a cardiac surgery cohort and tested them on vascular and non-cardiac acute surgery cohorts. The best performing models achieved an area under the receiver operating characteristic curve (AUROC) of 0.94 on training and 0.94 and 0.82, respectively, on testing for the 0.5-hour interval. The AUROCs only slightly dropped to 0.93, 0.92, and 0.77, respectively, for the 4-hour interval. This study serves as a proof-of-concept that EHR data and physiologic waveform data can be combined to enable the early detection of postoperative deterioration events.
Impact of COVID-19 on cancer screening in South Korea
Authors: Lee Kyeonmin , Lee Yun Yeong , Suh Mina , Jun Jae Kwan , Park Bomi , Kim Yeol , Choi Kui Son 
Published: July 2022

AbstractThe coronavirus disease (COVID-19) pandemic significantly declined cancer screening rates worldwide. Its impact on the South Korean population is unclear, depending on socioeconomic status (SES), residence, and history of chronic disease. This study utilized data (2018–2020) from the Korean National Cancer Screening Survey, an annual cross-sectional study employing nationally representative random sampling. Cancer screening rates were defined as the proportion of the eligible population who received respective cancer screening within the last 1 year and investigated four major cancers (stomach, colorectal, breast, and cervical). Screening rates every year were compared with screening rate ratios (SRRs) and the corresponding 95% confidence intervals (CIs). Between 2019 and 2020, screening rates declined significantly by 23%, 17%, 12%, and 8% for colorectal cancer (SRR 0.77; 95% CI 0.73–0.82), stomach cancer (SRR 0.83; 95% CI 0.79–0.87), breast cancer (SRR 0.88; 95% CI 0.82–0.93), and cervical cancer (SRR 0.92; 95% CI 0.87–0.97), respectively. Regardless of cancer type, screening was significantly lower in metropolitan residents, those with higher SES, and, interestingly, those without a history of chronic diseases. The significant decline in cancer screening during the pandemic requires urgent political intervention to reduce the burden of future cancer incidence and mortality.
A paired-end whole-genome sequencing approach enables comprehensive characterization of transgene integration in rice
Authors: Xu Wenting , Zhang Hanwen , Zhang Yuchen , Shen Ping , Li Xiang , Li Rong , Yang Litao 
Published: July 2022

AbstractEfficient, accurate molecular characterization of genetically modified (GM) organisms is challenging, especially for those transgenic events transferred with genes/elements of recipient species. Herein, we decipher the comprehensive molecular characterization of one novel GM rice event G281 which was transferred with native promoters and an RNA interference (RNAi) expression cassette using paired-end whole genome sequencing (PE-WGS) and modified TranSeq approach. Our results show that transgenes integrate at rice chromosome 3 locus 16,439,674 included a 36 bp deletion of rice genomic DNA, and the whole integration contains two copies of the complete transfer DNA (T-DNA) in a head-to-head arrangement. No unintended insertion or backbone sequence of the transformed plasmid is observed at the whole genome level. Molecular characterization of the G281 event will assist risk assessment and application for a commercial license. In addition, we speculate that our approach could be further used for identifying the transgene integration of cisgenesis/intragenesis crops since both ends of T-DNA in G281 rice were from native gene or elements which is similar with that of cisgenesis/intrasgenesis. Our results from the in silico mimicking cisgenesis event confirm that the mimic riceGt1gene insertion and its flanking sequences are successfully identified, demonstrating the applicability of PE-WGS for molecular characterization of cisgenesis/intragenesis crops.
BayesR3 enables fast MCMC blocked processing for largescale multi-trait genomic prediction and QTN mapping analysis
Authors: Breen Edmond J. , MacLeod Iona M. , Ho Phuong N. , Haile-Mariam Mekonnen , Pryce Jennie E. , Thomas Carl D. , Daetwyler Hans D. , Goddard Michael E. 
Published: July 2022

AbstractBayesian methods, such as BayesR, for predicting the genetic value or risk of individuals from their genotypes, such as Single Nucleotide Polymorphisms (SNP), are often implemented using a Markov Chain Monte Carlo (MCMC) process. However, the generation of Markov chains is computationally slow. We introduce a form of blocked Gibbs sampling for estimating SNP effects from Markov chains that greatly reduces computational time by sampling each SNP effect iteratively n-times from conditional block posteriors. Subsequent iteration over all blocks m-times produces chains of length m × n. We use this strategy to solve large-scale genomic prediction and fine-mapping problems using the Bayesian MCMC mixed-effects genetic model, BayesR3. We validate the method using simulated data, followed by analysis of empirical dairy cattle data using high dimension milk mid infra-red spectra data as an example of “omics” data and show its use to increase the precision of mapping variants affecting milk, fat, and protein yields relative to a univariate analysis of milk, fat, and protein.