bluuebunny/crossref_metadata_2025_split huggingface dataset:
Using 2D video-based pose estimation for automated prediction of autism spectrum disorders in young children
Authors: Kojovic Nada , Natraj Shreyasvi , Mohanty Sharada Prasanna , Maillart Thomas , Schaer Marie 
Published: July 2021

AbstractClinical research in autism has recently witnessed promising digital phenotyping results, mainly focused on single feature extraction, such as gaze, head turn on name-calling or visual tracking of the moving object. The main drawback of these studies is the focus on relatively isolated behaviors elicited by largely controlled prompts. We recognize that while the diagnosis process understands the indexing of the specific behaviors, ASD also comes with broad impairments that often transcend single behavioral acts. For instance, the atypical nonverbal behaviors manifest through global patterns of atypical postures and movements, fewer gestures used and often decoupled from visual contact, facial affect, speech. Here, we tested the hypothesis that a deep neural network trained on the non-verbal aspects of social interaction can effectively differentiate between children with ASD and their typically developing peers. Our model achieves an accuracy of 80.9% (F1 score: 0.818; precision: 0.784; recall: 0.854) with the prediction probability positively correlated to the overall level of symptoms of autism in social affect and repetitive and restricted behaviors domain. Provided the non-invasive and affordable nature of computer vision, our approach carries reasonable promises that a reliable machine-learning-based ASD screening may become a reality not too far in the future.
Automated machine learning optimizes and accelerates predictive modeling from COVID-19 high throughput datasets
Authors: Papoutsoglou Georgios , Karaglani Makrina , Lagani Vincenzo , Thomson Naomi , Røe Oluf Dimitri , Tsamardinos Ioannis , Chatzaki Ekaterini 
Published: July 2021

AbstractCOVID-19 outbreak brings intense pressure on healthcare systems, with an urgent demand for effective diagnostic, prognostic and therapeutic procedures. Here, we employed Automated Machine Learning (AutoML) to analyze three publicly available high throughput COVID-19 datasets, including proteomic, metabolomic and transcriptomic measurements. Pathway analysis of the selected features was also performed. Analysis of a combined proteomic and metabolomic dataset led to 10 equivalent signatures of two features each, with AUC 0.840 (CI 0.723–0.941) in discriminating severe from non-severe COVID-19 patients. A transcriptomic dataset led to two equivalent signatures of eight features each, with AUC 0.914 (CI 0.865–0.955) in identifying COVID-19 patients from those with a different acute respiratory illness. Another transcriptomic dataset led to two equivalent signatures of nine features each, with AUC 0.967 (CI 0.899–0.996) in identifying COVID-19 patients from virus-free individuals. Signature predictive performance remained high upon validation. Multiple new features emerged and pathway analysis revealed biological relevance by implication in Viral mRNA Translation, Interferon gamma signaling and Innate Immune System pathways. In conclusion, AutoML analysis led to multiple biosignatures of high predictive performance, with reduced features and large choice of alternative predictors. These favorable characteristics are eminent for development of cost-effective assays to contribute to better disease management.
Effects of eliminating interactions in multi-layer culture on survival, food utilization and growth of small sea urchins Strongylocentrotus intermedius at high temperatures
Authors: Hu Fangyuan , Chi Xiaomei , Yang Mingfang , Ding Peng , Yin Donghong , Ding Jingyun , Huang Xiyuan , Luo Jia , Chang Yaqing , Zhao Chong 
Published: July 2021

AbstractPoor growth and disease transmission of small sea urchins Strongylocentrotus intermedius in summer greatly hamper the production efficiency of the longline culture. Reducing the adverse effects of high stocking density while maintaining high biomass is essential to address these problems. Here, we conducted a laboratory experiment to simulate the multi-layer culture for sea urchins at ambient high temperatures (from 22.2 to 24.5 °C) in summer for ~ 7 weeks. Survival, body size, lantern growth, gut weight, food consumption, Aristotle's lantern reflex, 5-hydroxytryptamine concentration, pepsin activity and gut morphology were subsequently evaluated. The present study found that multi-layer culture led to significantly larger body size than those without multi-layer culture (the control group). This was probably because of the greater feeding capacity (indicated by lantern growth and Aristotle's lantern reflex) and food digestion (indicated by morphology and pepsin activity of gut) in the multi-layer cultured sea urchins. These results indicate that multi-layer is an effective approach to improving the growth efficiency of sea urchins at high temperatures. We assessed whether eliminating interaction further improve these commercially important traits of sea urchins in multi-layer culture. This study found that eliminating interactions displayed greater body size and Aristotle's lantern reflex than those not separated in the multi-layer culture. This approach also significantly reduced the morbidity compared with the control group. These novel findings indicate that eliminating interactions in multi-layer culture greatly contributes to the growth and disease prevention of sea urchins at high temperatures. The present study establishes a new technique for the longline culture of sea urchins in summer and provides valuable information into the longline culture management of other commercially important species (e.g. scallops, abalones and oysters).
Development of thymic tumor in [LSL:KrasG12D; Pdx1-CRE] mice, an adverse effect associated with accelerated pancreatic carcinogenesis
Authors: Liot Sophie , El Kholti Naïma , Balas Jonathan , Genestier Laurent , Verrier Bernard , Valcourt Ulrich , Lambert Elise 
Published: July 2021

AbstractPancreatic Ductal AdenoCarcinoma (PDAC) represents about 90% of pancreatic cancers. It is one of the most aggressive cancer, with a 5-year survival rate below 10% due to late diagnosis and poor therapeutic efficiency. This bad prognosis thus encourages intense research in order to better understand PDAC pathogenesis and molecular basis leading to the development of innovative therapeutic strategies. This research frequently involves the KC (LSL:KrasG12D;Pdx1-CRE) genetically engineered mouse model, which leads to pancreatic cancer predisposition. However, as frequently encountered in animal models, the KC mouse model also exhibits biases. Herein, we report a new adverse effect of KrasG12D mutation in KC mouse model. In our hands, 10% of KC mice developed clinical signs reaching pre-defined end-points between 100- and 150-days post-parturition, and associated with large thymic mass development. Histological and genetic analyses of this massive thymus enabled us (1) to characterize it as a highly proliferative thymic lymphoma and (2) to detect the unexpected recombination of the Lox-STOP-Lox cassette upstream KrasG12D allele and subsequent KRASG12D protein expression in all cells composing thymic masses. Finally, we highlighted that development of such thymic tumor was associated with accelerated pancreatic carcinogenesis, immune compartment disorganization, and in some cases, lung malignancies.
In situ electroporation of mammalian cells through SiO2 thin film capacitive microelectrodes
Authors: Maschietto M. , Dal Maschio M. , Girardi S. , Vassanelli S. 
Published: July 2021

AbstractElectroporation is a widely used non-viral technique for the delivery of molecules, including nucleic acids, into cells. Recently, electronic microsystems that miniaturize the electroporation machinery have been developed as a new tool for genetic manipulation of cells in vitro, by integrating metal microelectrodes in the culture substrate and enabling electroporation in-situ. We report that non-faradic SiO2 thin film-insulated microelectrodes can be used for reliable and spatially selective in-situ electroporation of mammalian cells. CHO-K1 and SH-SY5Y cell lines and primary neuronal cultures were electroporated by application of short and low amplitude voltage transients leading to cell electroporation by capacitive currents. We demonstrate reliable delivery of DNA plasmids and exogenous gene expression, accompanied by high spatial selectivity and cell viability, even with differentiated neurons. Finally, we show that SiO2 thin film-insulated microelectrodes support a double and serial transfection of the targeted cells.
The impact of vascular risk factors on the thickness and volume of the choroid in AMD patients
Authors: Krytkowska Elżbieta , Grabowicz Aleksandra , Mozolewska-Piotrowska Katarzyna , Ulańczyk Zofia , Safranow Krzysztof , Machalińska Anna 
Published: July 2021

AbstractDisturbances in choroidal microcirculation may lead to the onset and progression of age-related macular degeneration (AMD). We aimed to assess changes in the choroidal volume and thickness in the macular region in AMD eyes and to investigate whether coexisting vascular risk factors alter choroidal status. We enrolled 354 AMD patients (175 dry, 179 wet AMD) and 121 healthy controls. All participants underwent a complete ophthalmologic examination and assessment of choroidal thickness and volume. A multivariate analysis adjusted for age, sex, and smoking status revealed that wet AMD was an independent factor associated with higher average thickness of the central ring area (ATC) and average volume of the central ring area (AVC) and lower choroidal vascularity index (CVI) compared to controls (β =  + 0.18, p = 0.0007, β =  + 0.18, p = 0.0008, respectively) and to dry AMD (β =  + 0.17, p = 0.00003 for both ATC and AVC and β =  − 0.30 p < 0.0001 for CVI). ATC, AVC and average volume (AV) were lower in AMD patients with hypertension and ischaemic heart disease (IHD). The duration of hypertension was inversely correlated with ATC, AVC and AV (Rs =  − 0.13, p < 0.05; Rs =  − 0.12; p < 0.05, Rs =  − 0.12; p < 0.05, respectively) while IHD duration negatively correlated with AV (Rs =  − 0.15, p < 0.05). No such associations were observed in the control group. Our findings show that the choroidal vascular system in eyes with AMD is much more susceptible to damage in the presence than in the absence of systemic vascular disease.
Plant long non-coding RNAs in the regulation of transcription
Authors: Chekanova Julia A. 
Published: July 2021

Abstract
Eukaryotic genomes are pervasively transcribed, producing large numbers of non-coding RNAs (ncRNAs), including tens of thousands of long ncRNAs (lncRNAs), defined as ncRNAs longer than 200 nucleotides. Recent studies have revealed the important roles lncRNAs play in the regulation of gene expression at various levels in all eukaryotes; moreover, emerging research in plants has identified roles for lncRNAs in key processes such as flowering time control, root organogenesis, reproduction, and adaptation to environmental changes. LncRNAs participate in regulating most steps of gene expression, including reshaping nuclear organization and chromatin structure; governing multiple steps of transcription, splicing, mRNA stability, and translation; and affecting post-translational protein modifications. In this review, I present the latest progress on the lncRNA-mediated regulatory mechanisms modulating transcription in Arabidopsis thaliana, focusing on their functions in regulation of gene expression via chromatin structure and interactions with the transcriptional machinery.
Latent label mining for group activity recognition in basketball videos
Authors: Wu Lifang , Li Zeyu , Xiang Ye , Jian Meng , Shen Jialie 
Published: July 2021

AbstractMotion information has been widely exploited for group activity recognition in sports video. However, in order to model and extract the various motion information between the adjacent frames, existing algorithms only use the coarse video‐level labels as supervision cues. This may lead to the ambiguity of extracted features and the omission of changing rules of motion patterns that are also important sports video recognition. In this paper, a latent label mining strategy for group activity recognition in basketball videos is proposed. The authors' novel strategy allows them to obtain the latent labels set for marking different frames in an unsupervised way, and build the frame‐level and video‐level representations with two separate levels of supervision signal. Firstly, the latent labels of motion patterns are digged using the unsupervised hierarchical clustering technique. The generated latent labels are then taken as the frame‐level supervision signal to train a deep CNN for the frame‐level features extraction. Lastly, the frame‐level features are fed into an LSTM network to build the spatio‐temporal representation for group activity recognition. Experimental results on the public NCAA dataset demonstrate that the proposed algorithm achieves state‐of‐the‐art performance.
AFF‐UNIT: Adaptive feature fusion for unsupervised image‐to‐image translation
Authors: Li Yuqiang , Meng Haochen , Lin Hong , Liu Chun 
Published: July 2021

AbstractThe task of image‐to‐image translation is to generate images closer to the target domain style while preserving the significant features of the original image. This paper contends an adaptive feature fusion method for unsupervised image translation. The proposed architecture, termed as AFF‐UNIT, is based on a compact network structure to further improve the quality of generated images. First of all, a feature extraction module based on an adaptive feature fusion method is proposed, which combines low‐level fine‐grained information and high‐level semantic information to obtain feature maps with richer information. At the same time, a feature‐similarity loss is proposed to guide the feature extraction module to extract features that are more conducive to improving the translation result. In addition, AFF‐UNIT reuses the feature extraction module in the generator and discriminator to simplify the framework. Extensive experiments on five popular benchmarks demonstrate the superior performance of AFF‐UNIT over state‐of‐the‐art methods in terms of FID, KID, IS, and also human preference. Comprehensive ablation studies are also carried out to isolate the validity of each proposed component.
Review of HVDC systems for enhancing resilience after extreme natural events
Authors: Luo Chuhang , Liang Liang , Bai Xiaoyang 
Published: July 2021

AbstractCompared with AC systems, HVDC systems are more flexible and potentially contribute to enhancing system resilience. Currently, three types of HVDC technologies, LCC‐HVDC (Line‐commutated Current‐sourced Converters, LCC), VSC‐HVDC (Voltage Sourced Converter, VSC), and MMC‐HVDC (Modular‐Multilevel‐Converter, MMC), are applied in practical projects. All types of HVDC systems can be applied to stabilize the system frequency of AC power systems and facilitate system recovery after extreme natural events. The operation characteristics, methods, and control strategies of different HVDC technologies for facilitating system operation are reviewed herein; it is indicated that HVDC technology is an effective solution for enhancing system resilience. Renewable resources, energy storage systems, and demand response devices can be coordinated well with HVDC systems. The frequency and voltage regulation ability of power systems and the black start ability can be enhanced by introducing HVDC systems into power systems. Several isolated AC power systems can be connected to HVDC systems. These AC systems can interact with other AC systems through HVDC systems by conforming to their operational characteristics and constraints. The resilience of these AC systems can be enhanced by these interactions. Additionally, related operation methods and control strategies will also be reviewed.
MONOS: Multiplicity Of Northern O-type Spectroscopic systems
Authors: Trigueros Páez E. , Barbá R. H. , Negueruela I. , Maíz Apellániz J. , Simón-Díaz S. , Holgado G. 
Published: July 2021

Context. Massive stars are a key element for understanding the chemical and dynamical evolution of galaxies. Stellar evolution is conditioned by many factors: Rotation, mass loss, and interaction with other objects are the most important ones for massive stars. During the first evolutionary stages of stars with initial masses (i.e., MZAMS) in the MZAMS ∼ 18–70  M⊙ range, they are of spectral type O. Given that stars in this mass range spend roughly 90% of their lifetime as O-type stars, establishing the multiplicity frequency and binary properties of O-type stars is crucial for many fields of modern astrophysics.
Aims. The aim of the MONOS project is to collect information to study northern Galactic O-type spectroscopic binaries. In this second paper, we tackle the study of the 35 single-line spectroscopic binary (SB1) systems identified in the previous paper of the series, analyze our data, and review the literature on the orbits of the systems.
Methods. We have measured ∼4500 radial velocities for a selection of diagnostic lines for the ∼700 spectra of the studied systems in our database, for which we have used two different methods: a Gaussian fit for several lines per object and cross-correlation with synthetic spectra computed with the FASTWIND stellar atmospheric code. We have also explored the photometric data delivered by the TESS mission to analyze the light curve (LC) of the systems, extracting 31 of them. We have explored the possible periods with the Lomb-Scargle method and, whenever possible, calculated the orbital solutions using the SBOP and GBART codes. For those systems in which an improved solution was possible, we merged our radial velocities with those in the literature and calculated a combined solution.
Results. As a result of this work, of the 35 SB1 systems identified in our first paper we have confirmed 21 systems as SB1 with good orbits, discarded the binary nature of six stars (9 Sge, HD 192 281, HDE 229 232 AB, 68 Cyg, HD 108, and α Cam), and left six stars as inconclusive due to a lack of data. The remaining two stars are 15 Mon Aa, which has been classified as SB2, and Cyg OB2-22 C, for which we find evidence that it is most likely a triple system where the O star is orbiting an eclipsing SB1. We have also recalculated 20 new orbital solutions, including the first spectroscopic orbital solution for V747 Cep. For Cyg OB2-22 C, we have obtained new ephemerides but no new orbit.
Physical characterization of recently discovered globular clusters in the Sagittarius dwarf spheroidal galaxy
Authors: Garro E. R. , Minniti D. , Gómez M. , Alonso-García J. 
Published: July 2021

Context.Globular clusters (GCs) are important tools for rebuilding the accretion history of a galaxy. In particular, newly discovered GCs in the Sagittarius (Sgr) dwarf galaxy can be used as probes of the accretion event onto the Milky Way (MW).Aims.Our main aim is to characterize the GC system of the Sgr dwarf galaxy by measuring its main physical parameters.Methods.We built the optical and near-infrared color-magnitude diagrams for 21 new Sgr GCs using the VISTA Variables in the Via Lactea Extended Survey near-infrared database combined with theGaiaEarly Data Release 3 optical database. We derived metallicities and ages for all targets using the isochrone-fitting method with PARSEC isochrones. We also used the relation between red giant branch slope and metallicity as an independent method to confirm our metallicity estimates. In addition, the total luminosities were calculated in the near-infrared and in the optical. We then constructed the metallicity distribution (MD), the globular cluster luminosity function (GCLF), and the age-metallicity relation for the Sgr GC system.Results.We find that there are 17 metal-rich GCs with −0.9 < [Fe/H]<  − 0.3, plus 4 metal-poor GCs with −2.0 < [Fe/H]<  − 1.1 in the new Sgr GC sample. The metallicity estimates using isochrones and red giant branch slopes agree well. Even though our age estimates are rough, we find that the metal-poor GCs are consistent with an old population with an average age of ∼13 Gyr, while the metal-rich GCs show a wider age range, between 6 − 8 Gyr and 10 − 13 Gyr. Additionally, we compare the MD and the GCLF for the Sgr GC system with those of the MW, M31, and Large Magellanic Cloud galaxies.Conclusions.We conclude that the majority of the metal-rich GCs are located within the main body of the Sgr galaxy. We confirm that the GCLF is not a universal distribution because the Sgr GCLF peaks at fainter luminosities (MV ≈ −5.5 mag) than the GCLFs of the MW, M31, and Large Magellanic Cloud. Moreover, the MD shows a double-peaked distribution, and we note that the metal-rich population looks like the MW bulge GCs. We compared our results with the literature and conclude that the Sgr progenitor could have been a reasonably large galaxy able to retain the supernovae ejecta, thus enriching its interstellar medium.
Endoscopic neo-anastomosis by Rendez-vous technique for the treatment of complete occlusion of bilioenteric anastomoses and distal bile ducts (case series)
Authors: Steinbrück Ingo , Otto Helge , Ullrich Sebastian , Ruether Christoph , Fischbach Roman , Pohl Jürgen , Hagenmüller Friedrich 
Published: July 2021

Abstract
Background and aims The complete occlusion of bilioenteric anastomoses is a rare and challenging clinical condition. Repeated surgery is burdened with technical difficulties and significant morbidity. We report the first series of completely occluded bilioenteric anastomoses resp. distal bile duct successfully treated by simultaneous percutaneous and retrograde endoscopic interventions.
Patients and methods This case series includes 4 patients with obstructive jaundice and/or recurring cholangitis and pain due to complete fibrotic occlusion of a hepaticojejunostomy (3 patients) and the distal bile duct (1 patient). After performing PTCD and stepwise dilation of the biliocutaneous tract, we tried to approach the occluded anastomosis from 2 sides by simultaneous percutaneous cholangioscopy and peroral device-assisted enteroscopy/duodenoscopy. By cutting through the separating tissue layer with a needle knife under endoscopic and fluoroscopic control using diaphanoscopy, a new anastomosis should be established followed by dilation of the neoanastomosis with subsequent percutaneous transhepatic drainage for a minimum of 1 year to prevent re-occlusion.
Results The Rendez-vous maneuver was successful in 3/4 cases. In one case, the retrograde access to the anastomosis failed, so the neoanastomosis was cut under cholangioscopic and fluoroscopic guidance only. The neoanastomosis could be established successfully in all 4 cases. Jaundice, cholangitis, and pain disappeared. Minor periinterventional adverse events were cholangitis (n = 1) and pneumonia (n = 1) due to aspiration, which could be managed conservatively. No serious adverse events were observed, and no re-occlusion of any neoanastomosis occurred during the follow-up before and after removal of the percutaneous drainage.
Conclusion Simultaneous percutaneous cholangioscopy and device-assisted enteroscopy/duodenoscopy with endoscopic creation of a neoanastomosis is a possible concept for the treatment of completely occluded bilioenteric anastomoses and distal bile ducts. This case series confirms the feasibility, safety, and long-term effectiveness of this treatment.
Techniques for Imaging Vascular Supply of Peripheral Nerves
Authors: Giron Alec , Cox Cameron , MacKay Brendan 
Published: July 2021

AbstractFew studies have been developed to map the vascular structures feeding peripheral nerves, with the majority using cadaveric models and inadequate sample sizes. Preliminary evidence, while limited, indicates that the mapping of these vessels may allow or preclude certain procedures in nerve reconstruction due to the location of essential arterial inflow to the vasa nervorum. This review evaluates the evidence regarding historical, current, and emerging techniques for visualizing these vascular structures in vivo and considers their potential application in peripheral nerve vasculature.