bluuebunny/crossref_metadata_2025_split huggingface dataset:
A hypothalamic dopamine locus for psychostimulant-induced hyperlocomotion in mice
Authors: Korchynska Solomiia , Rebernik Patrick , Pende Marko , Boi Laura , Alpár Alán , Tasan Ramon , Becker Klaus , Balueva Kira , Saghafi Saiedeh , Wulff Peer , Horvath Tamas L. , Fisone Gilberto , Dodt Hans-Ulrich , Hökfelt Tomas , Harkany Tibor , Romanov Roman A. 
Published: October 2022

AbstractThe lateral septum (LS) has been implicated in the regulation of locomotion. Nevertheless, the neurons synchronizing LS activity with the brain’s clock in the suprachiasmatic nucleus (SCN) remain unknown. By interrogating the molecular, anatomical and physiological heterogeneity of dopamine neurons of the periventricular nucleus (PeVN; A14 catecholaminergic group), we find that Th+/Dat1+ cells from its anterior subdivision innervate the LS in mice. These dopamine neurons receive dense neuropeptidergic innervation from the SCN. Reciprocal viral tracing in combination with optogenetic stimulation ex vivo identified somatostatin-containing neurons in the LS as preferred synaptic targets of extrahypothalamic A14 efferents. In vivo chemogenetic manipulation of anterior A14 neurons impacted locomotion. Moreover, chemogenetic inhibition of dopamine output from the anterior PeVN normalized amphetamine-induced hyperlocomotion, particularly during sedentary periods. Cumulatively, our findings identify a hypothalamic locus for the diurnal control of locomotion and pinpoint a midbrain-independent cellular target of psychostimulants.
Ovarian tumor diagnosis using deep convolutional neural networks and a denoising convolutional autoencoder
Authors: Jung Yuyeon , Kim Taewan , Han Mi-Ryung , Kim Sejin , Kim Geunyoung , Lee Seungchul , Choi Youn Jin 
Published: October 2022

AbstractDiscrimination of ovarian tumors is necessary for proper treatment. In this study, we developed a convolutional neural network model with a convolutional autoencoder (CNN-CAE) to classify ovarian tumors. A total of 1613 ultrasound images of ovaries with known pathological diagnoses were pre-processed and augmented for deep learning analysis. We designed a CNN-CAE model that removes the unnecessary information (e.g., calipers and annotations) from ultrasound images and classifies ovaries into five classes. We used fivefold cross-validation to evaluate the performance of the CNN-CAE model in terms of accuracy, sensitivity, specificity, and the area under the receiver operating characteristic curve (AUC). Gradient-weighted class activation mapping (Grad-CAM) was applied to visualize and verify the CNN-CAE model results qualitatively. In classifying normal versus ovarian tumors, the CNN-CAE model showed 97.2% accuracy, 97.2% sensitivity, and 0.9936 AUC with DenseNet121 CNN architecture. In distinguishing malignant ovarian tumors, the CNN-CAE model showed 90.12% accuracy, 86.67% sensitivity, and 0.9406 AUC with DenseNet161 CNN architecture. Grad-CAM showed that the CNN-CAE model recognizes valid texture and morphology features from the ultrasound images and classifies ovarian tumors from these features. CNN-CAE is a feasible diagnostic tool that is capable of robustly classifying ovarian tumors by eliminating marks on ultrasound images. CNN-CAE demonstrates an important application value in clinical conditions.
JSCSNCP-LMA: a method for predicting the association of lncRNA–miRNA
Authors: Wang Bo , Wang Xinwei , Zheng Xiaodong , Han Yu , Du Xiaoxin 
Published: October 2022

AbstractNon-coding RNAs (ncRNAs) have long been considered the "white elephant" on the genome because they lack the ability to encode proteins. However, in recent years, more and more biological experiments and clinical reports have proved that ncRNAs account for a large proportion in organisms. At the same time, they play a decisive role in the biological processes such as gene expression and cell growth and development. Recently, it has been found that short sequence non-coding RNA(miRNA) and long sequence non-coding RNA(lncRNA) can regulate each other, which plays an important role in various complex human diseases. In this paper, we used a new method (JSCSNCP-LMA) to predict lncRNA–miRNA with unknown associations. This method combined Jaccard similarity algorithm, self-tuning spectral clustering similarity algorithm, cosine similarity algorithm and known lncRNA–miRNA association networks, and used the consistency projection to complete the final prediction. The results showed that the AUC values of JSCSNCP-LMA in fivefold cross validation (fivefold CV) and leave-one-out cross validation (LOOCV) were 0.9145 and 0.9268, respectively. Compared with other models, we have successfully proved its superiority and good extensibility. Meanwhile, the model also used three different lncRNA–miRNA datasets in the fivefold CV experiment and obtained good results with AUC values of 0.9145, 0.9662 and 0.9505, respectively. Therefore, JSCSNCP-LMA will help to predict the associations between lncRNA and miRNA.
New symptoms and prevalence of postacute COVID-19 syndrome among nonhospitalized COVID-19 survivors
Authors: Albtoosh Asma S. , Toubasi Ahmad A. , Al Oweidat Khaled , Hasuneh Manar M. , Alshurafa Abdullah H. , Alfaqheri Daniah L. , Farah Randa I. 
Published: October 2022

AbstractThe aim of this study was to assess postacute coronavirus disease 2019 (COVID-19) syndrome (PACS) symptoms according to the onset of the infection while evaluating the effect of COVID-19 vaccination on the symptoms of PACS. We conducted a retrospective single-center cohort study in which nonhospitalized COVID-19 survivors and healthy controls were compared for the occurrence of PACS. The total number of patients in this study was 472. At 6–12 and > 12 months after the infection, COVID-19 survivors had a significantly higher incidence of posttraumatic stress disorder (PTSD) and anxiety than the non-COVID-19 cohort. Furthermore, depression, cognitive deficit, tics, impaired quality of life and general health impairment were significantly more prevalent among COVID-19 survivors at < 6 months, 6–12 months and > 12 months than in the non-COVID-19 cohort. However, respiratory symptoms were significantly more prevalent among COVID-19 survivors only in the first 6 months after infection. In addition, cognitive deficit (OR = 0.15; 95% CI 0.03–0.87) and impaired quality of life (B = − 2.11; 95% CI − 4.21 to − 0.20) were significantly less prevalent among vaccinated COVID-19 survivors than among nonvaccinated survivors. Longitudinal studies are needed to establish the time that should elapse after COVID-19 infection for the symptoms of PACS to appear. Randomized clinical trials are needed to assess the possibility that COVID-19 vaccines might relieve PACS symptoms.
Interference effects in GaN high electron mobility transistor power amplifier induced by microwave pulses
Authors: Zhao Jingtao , Chen Quanyou , Chen Chaoyang , Chen Zhidong , Liu Zhong , Zhao Gang 
Published: October 2022

AbstractOwing to the rapid development of wireless communication, radar and pulse power technology, the electromagnetic environment faced by electronic systems is increasingly complex and the intensity of electromagnetic field can be significant. In this study, a new interference phenomenon was observed when the microwave pulses were injected into the gallium nitride (GaN) high electron mobility transistor (HEMT) power amplifier through the output port. We investigated the relationship between the peak power of reverse injection microwave pulses and the duration or the amplitude of the interference by effect experiments. The interference duration could reach the magnitude of millisecond. Deep traps in GaN HEMT power amplifiers are proved to be the cause of this interference effects.
Multi-angle meta-analysis of the gut microbiome in Autism Spectrum Disorder: a step toward understanding patient subgroups
Authors: West Kiana A. , Yin Xiaochen , Rutherford Erica M. , Wee Brendan , Choi Jinlyung , Chrisman Brianna S. , Dunlap Kaiti L. , Hannibal Roberta L. , Hartono Wiputra , Lin Michelle , Raack Edward , Sabino Kayleen , Wu Yonggan , Wall Dennis P. , David Maude M. , Dabbagh Karim , DeSantis Todd Z. , Iwai Shoko 
Published: October 2022

AbstractObservational studies have shown that the composition of the human gut microbiome in children diagnosed with Autism Spectrum Disorder (ASD) differs significantly from that of their neurotypical (NT) counterparts. Thus far, reported ASD-specific microbiome signatures have been inconsistent. To uncover reproducible signatures, we compiled 10 publicly available raw amplicon and metagenomic sequencing datasets alongside new data generated from an internal cohort (the largest ASD cohort to date), unified them with standardized pre-processing methods, and conducted a comprehensive meta-analysis of all taxa and variables detected across multiple studies. By screening metadata to test associations between the microbiome and 52 variables in multiple patient subsets and across multiple datasets, we determined that differentially abundant taxa in ASD versus NT children were dependent upon age, sex, and bowel function, thus marking these variables as potential confounders in case–control ASD studies. Several taxa, including the strains Bacteroides stercoris t__190463 and Clostridium M bolteae t__180407, and the species Granulicatella elegans and Massilioclostridium coli, exhibited differential abundance in ASD compared to NT children only after subjects with bowel dysfunction were removed. Adjusting for age, sex and bowel function resulted in adding or removing significantly differentially abundant taxa in ASD-diagnosed individuals, emphasizing the importance of collecting and controlling for these metadata. We have performed the largest (n = 690) and most comprehensive systematic analysis of ASD gut microbiome data to date. Our study demonstrated the importance of accounting for confounding variables when designing statistical comparative analyses of ASD- and NT-associated gut bacterial profiles. Mitigating these confounders identified robust microbial signatures across cohorts, signifying the importance of accounting for these factors in comparative analyses of ASD and NT-associated gut profiles. Such studies will advance the understanding of different patient groups to deliver appropriate therapeutics by identifying microbiome traits germane to the specific ASD phenotype.
Simulation of the activation of mining faults and grouting reinforcement under thick loose layer and thin bedrock
Authors: Zhang Wenquan , Lei Yu , Shao Jianli , Wu Xunan , Li Song , Ma Chaoqun 
Published: October 2022

AbstractWe have investigated the activation characteristics of mining faults and the effect of grouting reinforcement under thick loose layer and thin bedrock of the working face and evaluate their impact on the safety of mining at similar working faces. Implementing the geological conditions of the 331 working face of the Yangcun Coal Mine (China) of the Yankuang Energy Group Corporation, we have analyzed mechanically the process of fault activation at first. Subsequently, we have obtained the mechanical criterion of fault slip and the expression of relative strength of the nearby rock mass. Using numerical software we have simulated and analyzed the damage characteristics of different bedrock thicknesses on overlying rocks and faults in the fluid–solid coupling mode. In addition, we have studied the controlling effect of grouting reinforcement on fault activation, which has been verified in the field. The main results of our study show that: 1. The mechanical properties of the rock mass near the fault interface have changed and they are related to the cohesive force of the interface; 2. The water inrush mode of the working face changes under different bedrock thickness, and the thinner the bedrock, the less easily the fault is destroyed 3. The slip of the high-level fault is reduced after the grouting of the fault, the propagation of the fracture zone at the fault is suppressed, the seepage of the aquifer water is prevented, and the safe recovery is realized. The results of our study provide a scientific basis for the secure mining across the fault of the 331 working face of Yangcun Coal Mine. Based on the results of our study the working face can be mined safely from now on and in the future.
Neurocognitive analyses reveal that video game players exhibit enhanced implicit temporal processing
Authors: Foerster Francois R. , Chidharom Matthieu , Bonnefond Anne , Giersch Anne 
Published: October 2022

AbstractWinning in action video games requires to predict timed events in order to react fast enough. In these games, repeated waiting for enemies may help to develop implicit (incidental) preparation mechanisms. We compared action video game players and non-video game players in a reaction time task involving both implicit time preparations and explicit (conscious) temporal attention cues. Participants were immersed in virtual reality and instructed to respond to a visual target appearing at variable delays after a warning signal. In half of the trials, an explicit cue indicated when the target would occur after the warning signal. Behavioral, oculomotor and EEG data consistently indicate that, compared with non-video game players, video game players better prepare in time using implicit mechanisms. This sheds light on the neglected role of implicit timing and related electrophysiological mechanisms in gaming research. The results further suggest that game-based interventions may help remediate implicit timing disorders found in psychiatric populations.
Fractional correlated insulating states at one-third filled magic angle twisted bilayer graphene
Authors: Zhang Kevin , Zhang Yang , Fu Liang , Kim Eun-Ah 
Published: October 2022

AbstractThe observation of superconductivity and correlated insulating states in twisted bilayer graphene has motivated much theoretical progress at integer fillings. However, little attention has been given to fractional fillings. Here we show that the three-peak structure of Wannier orbitals, dictated by the symmetry and topology of flat bands, facilitates the emergence of a state we name a “fractional correlated insulator” at commensurate fractional filling of ν = n ± 1/3. Specifically for the filling of 1/3 electrons per moiré unit cell, we show that short-range interactions lead to an extensive entropy due to the “breathing” degree of freedom of an irregular honeycomb lattice that emerges through defect lines. The leading further-range interaction lifts this degeneracy and selects a ferromagnetic nematic state that breaks AB/BA sublattice symmetry. The proposed fractional correlated insulating state might underlie the suppression of superconductivity at ν = 2 − 1/3 filling observed in ref. 1.
Stellenwert der „inner Branches“ in der komplexen endovaskulären Aortenchirurgie
Authors: Lescan Mario 
Published: October 2022

ZusammenfassungDie komplexe endovaskuläre Therapie der Aorta mit fenestrierten und gebranchten Prothesen spielt eine wichtige Rolle in der heutigen Gefäßmedizin. Daraus resultieren innovative
medizintechnische Lösungen, die für immer anspruchsvollere Aortenpathologien eingesetzt werden. Das Ziel dieser Arbeit war es, die zunehmende Bedeutung der „inner Branches“ in der komplexen
Aortenchirurgie darzustellen. Die Vorteile und Grenzen dieser Technik sollten aufgezeigt und die aktuelle Datenlage zusammengefasst werden. Dazu wurden die „inner Branches“ (iBEVAR) den
Standardverfahren (Fenestrationen [FEVAR], „outer Branches“ [BEVAR]) gegenübergestellt und ihre technischen Vor- und Nachteile erarbeitet. Kennzeichnend ist der weit verbreitete Einsatz der
iBEVAR im Aortenbogen im Gegensatz zur thorakoabdominellen Aorta, was sich auch in der spärlichen Datenlage im thorakoabdominellen Abschnitt widerspiegelt. Die Letztere basiert auf kleineren
retrospektiven Studien mit 1-jährigem Follow-up. Die seit 2 Jahren verfügbare thorakoabdominelle „off-the-shelf“-Prothese wird voraussichtlich zu einer weiteren Verbreitung der „inner
Branches“ im thorakoabdominellen Abschnitt führen, wobei die von der Industrie geförderte Registerstudie wichtige Evidenz zur erörterten Technik bereitstellen könnte.
Selective Serotonin Reuptake Inhibitor Use and Risk of Major Bleeding during Treatment with Vitamin K Antagonists: Results of A Cohort Study
Authors: Bakker Sanne , Burggraaf Johanna Louise I. , Kruip Marieke J. H. A. , van der Meer Felix J. M. , Lijfering Willem M. , van Rein Nienke 
Published: October 2022

Background Selective serotonin reuptake inhibitors (SSRIs) may increase the risk of major bleeding by decreasing platelet function or decreasing vitamin K antagonist (VKA) metabolism via cytochrome P450 (CYP) inhibition.
Aims To determine whether SSRIs are associated with major bleeding during VKA treatment and investigate the possible mechanisms.
Methods In this cohort study, information on SSRI use and bleeding complications was obtained from patient records of VKA initiators between 2006 and 2018 from two anticoagulation clinics. Conditional logistic regression and time-dependent Cox regression were used to estimate the effect of SSRIs on a high international normalized ratio (INR ≥ 5) within 2 months after SSRI initiation and on major bleeding during the entire period of SSRI use, respectively. SSRI use was stratified for (non-)CYP2C9 inhibitors.
Results A total of 58,918 patients were included, of whom 1,504 were SSRI users. SSRI initiation versus nonuse was associated with a 2.41-fold (95% confidence interval [CI]: 2.01–2.89) increased risk for a high INR, which was 3.14-fold (95% CI: 1.33–7.43) among CYP2C9-inhibiting SSRI users. The adjusted hazard ratio of major bleeding was 1.22 (95% CI: 0.99–1.50) in all SSRI users and 1.31 (95% CI: 0.62–2.72) in CYP2C9-inhibiting SSRI users compared with nonusers.
Conclusion SSRI use is associated with an increased risk of high INR and might be associated with major bleeding. The risk of a high INR was slightly more elevated for CYP2C9-inhibiting SSRI users, suggesting there might be a pharmacokinetic interaction (by CYP2C9 inhibition) next to a pharmacodynamic effect of SSRIs on platelet activation.
Chemical Surface Modification Methods of Resin Composite Repaired with Resin-Modified Glass-Ionomer Cement
Authors: Klaisiri Awiruth , Phumpatrakom Panupat , Thamrongananskul Niyom 
Published: October 2022

Abstract
Objective This study examined the chemical surface modification methods of resin composite repaired with resin-modified glass-ionomer cement (RMGIC).
Materials and Methods Ninety aged resin composite rods were produced and sorted into 9 groups of 10 specimens and surface modified with silane agent and/or bonding agent as follows: group 1, no surface modified; group 2, etch + single bond 2 (SB2); group 3, SB2; group 4, etch + RelyX ceramic primer (RXP) + SB2; group 5, RXP + SB2; group 6, etch + single bond universal (SU); group 7, SU; group 8, etch + RXP + SU; and group 9, RXP + SU. A clear silicone mold was placed on the top of specimen center, and then filled with RMGIC. The specimens' shear bond strengths (SBSs) were examined in mechanical testing equipment. To determine failure types, the fractured specimen surfaces were inspected using a stereomicroscope.
Statistical Analysis The data collected were analyzed using one-way analysis of variance, and significance level was operated using Tukey's test (p < 0.05).
Results Group 8 had the greatest SBS, but it was statistically indistinguishable from groups 4, 5, and 9. The most frequent fracture mode was adhesive failure. High SBS was commonly associated with mixed failure.
Conclusion The use of bonding agents enhances the resin composite's wettability and allows it to bond to RMGIC. Moreover, the use of the silane coupling agent before applying bonding agent showed significantly higher bonding ability of resin composite and RMGIC interface.
Effect of Different Surface Treatment Methods on the Shear Bond Strength of Resin Composite/Zirconia for Intra-oral Repair of Zirconia Restorations
Authors: Fathpour Kamyar , Nili Ahmadabadi Mahsa , Atash Ramin , Fathi Amir Hossein 
Published: October 2022

Abstract
Objective A durable resin/zirconia bond is essential for successful intra-oral repair of zirconia restorations. The purpose of this study was to evaluate the influence of two mechanical treatments followed by seven chemical treatments on the shear bond strength (SBS) of composite resin to zirconia.
Materials and Methods In this in vitro study, 280 zirconia blocks (Y-TZP) were either air-abraded or bur roughened and divided into seven experimental groups (n = 20) in terms of primer/resin application: 1) ZPP, Z-Prime Plus; 2) ZPP + GP, Z-Prime Plus followed by G-premio bond; 3) ZPP + ALB, Z-Prime Plus followed by All Bond Universal; 4) ZPP + CLRF, Z-Prime Plus followed by Clearfil SE Bond; 5)GP, G-Premio Bond 6) ALB, All Bond Universal; and 7) CLRF, Clearfil SE Bond. After composite bonding and storage in distilled water (24 hours), half of each group specimen (n = 10) were thermocycled. All specimens were subjected to shear force. Statistical analysis was performed using Kruskal–Wallis and Mann–Whitney test (α = 0.05).
Results Significant reduction in SBS was observed in all groups after thermocycling(p < 0.05), except for the air-abraded ZPP + CLRF (p = 0.143). After aging, air-abraded CLRF exhibited the highest SBS (13.55 ± 7.8 MPa) and bur roughened ZPP showed the lowest SBS (1.16 ± 1.23 MPa). In the aged specimens, there was a significant difference between air abrasion and bur roughening in all groups (p < 0.05).
Conclusion Air-abrasion followed by application of adhesive (with/without prior primer application) is the most efficient technique for repair of veneered zirconia restorations with resin composite.
Correlation of Nonthyroidal Illness Syndrome with Extubation Outcome in Mechanically Ventilated Children: A Prospective Cohort Study
Authors: Abdelaziz Tarek A. , Romih Mohamed Mahmoud , Ismail Weaam Ibrahim , Emhalhal Khadija A.L. Mabrouk , Baz Eman Gamal 
Published: October 2022

AbstractThis study aimed to assess the relationship between non-thyroidal illness syndrome (NTIS) and extubation outcomes in pediatric patients requiring mechanical ventilation. This prospective cohort study included 59 patients who underwent mechanical ventilation in the pediatric intensive care unit of a tertiary care university hospital from July 2020 to June 2021. Each patient underwent laboratory testing including serum levels of thyroid-stimulating hormone (TSH), free T3 (fT3), free T4 (fT4), and reverse T3 (rT3) on the first and third days of mechanical ventilation. On the first day of mechanical ventilation, 62.7% of patients had low fT3, which significantly increased to 78% of patients on the third day. In comparison to values on day one, median levels of fT3 and fT4 significantly decreased and rT3 significantly increased on day three. However, no significant differences were found in the median TSH levels over the same time span. Thirty-five patients (59%) survived while 24 patients (41%) did not survive. Compared with survivors, non-survivors had significantly higher median serum TSH levels on day one, while all other thyroid function tests assays did not significantly differ between days one and three. Of note, serum TSH, fT3, fT4, and rT3 levels, on the first and third days, did not differ significantly between patients who experienced extubation failure and extubation success. To the best of our knowledge, this is the first study to examine thyroid function values in mechanically ventilated children to determine their correlation with extubation outcomes. In this study, NTIS did not correlate with extubation outcomes in critically ill children undergoing mechanical ventilation.