Miracle-dz/UniFAR-FTUs huggingface dataset:
Épreuve du travail sur utérus bicicatriciel: Etude prospective à propos de 130 cas

Le mode d'accouchement chez les parturientes ayant un uterus bicicatriciel est controverse. A travers une etude prospective de 130 cas, les auteurs essayent d'evaluer les resultats de l'epreuve du travail sur uterus bicicatriciel. Parmi 167 patientes porteuses d'un uterus bicicatriciel, 130 (77,8 %) ont ete selectionnees pour une epreuve du travail qui s'est achevee avec succes dans 65 cas (50 %). Le taux global d'accouchement par voie basse et par cesarienne etait de 39 % et 61 % respectivement. L'epreuve uterine s'est compliquee de 4 dehiscences (3,1 %) et de 2 ruptures uterines (1,5 %), mais aucune ne s'est accompagnee de mortalite ou de morbidite perinatale. Dans la majorite des cas, ces desunions cicatricielles ont ete secondaires a des mauvaises conditions obstetricales. Autoriser l'epreuve du travail sur uterus bicicatriciel nous semble une attitude raisonnable lorsqu'elle est bien indiquee et correctement surveillee.
SAT0028 Serum Amyloid a is Associated with Chronic Inflammation and Markers of Disease Severity in Adult Patients with Pulmonary Hypertension

Background Chronic inflammation might be involved in the pathogenesis of different types of pulmonary hypertension (PH) [1]. Serum amyloid A (SAA) is an evolutionarily conserved, inflammatory protein expressed in the liver in a manner analogous to that of C-reactive protein (CRP). SAA is also expressed by several extrahepatic cells, including vascular smooth muscle, macrophages and endothelial cells in response to different stimuli, such as interleukin 6 (IL-6) [2]. Data on potential roles of SAA in PH are scarce. We recently reported that increased SAA is associated with pulmonary arterial hypertension (PAH) in patients with systemic sclerosis [3]. Furthermore, children with idiopathic PAH experiencing non-response to specific drugs and a worse prognosis, had significantly elevated SAA [4]. Objectives To check associations of SAA with CRP, IL-6 and noninvasive markers of disease severity in PH referral patients. Methods Seventy five consecutive patients were evaluated in the PH out-patient clinic within one year. Serum SAA and CRP were measured by nephelometry and IL-6 by routine ELISA. Markers of PH severity were evaluated with serum troponin I (TnI), N-terminal pro-B-type natriuretic peptide (NTproBNP), tricuspid annular plane systolic excursion (TAPSE), cardiac index (CI) and systolic pulmonary arterial pressure (sPAP), as assessed by routine echocardiography, and the six minute walk test (6MWT) in the whole group of patients, as well as in subgroups of 60 patients with PAH specifically, group I (n=17) or IV (n=43) according to WHO classification. Results Within the whole group of 75 PH patients (64% females, 36% males, mean age 63, range 29-89 years), we found significant correlations of SAA with CRP, diffusing capacity for CO, TnI (r=0.75, r=-0.36, r=0.23, respectively, all p<0.05) and NTproBNP (0.23, p=0.057). In the subgroup of patients with PAH type IV, SAA strongly correlated with CRP, IL-6, TnI, NTproBNP (r=0.93, r=0.53, r=0.91, r=0.90, respectively, all p<0.000), as well as with sPAP (r=0.39, p=0.03), while in patient subgroup PAH type I, SAA correlations were less strong. No significant correlations were found between SAA and CI, TAPSE or 6MWT, either in the whole patient group or in the subgroups. Conclusions We showed for the first time, that SAA is associated with markers of chronic inflammation and disease severity in unselected adult patients with PH. In subgroup PAH type IV, where increased SAA might indicate non-responsiveness to specific drugs and worse prognosis, this association is even stronger. These new findings are pending further evaluation. References Kherbeck N, et al. Clin Rev Allergy Immunol. 2013; 44: 31-8. Eklund KK, et al. Crit Rev Immunol. 2012; 32: 335-48. Lakota K, et al. PLoS One. 2015 Jan 28;10(1):e0110820. Yeager ME, et al. Proteomics Clin Appl. 2012; 6:257-67. Disclosure of Interest None declared
A short overview of the history of the Church on Euboea (Negroponte)

Άγνωστη παραμένει η ακριβής χρονολογία του εκχριστιανισμού της Εύβοιας, ενώ ήδη από τον 4ο αι. μαρτυρείται επίσκοπος Βοίας υποκείμενος στη Μητρόπολη Κορίνθου. Οι διαφορετικές ονομασίες των επισκόπων, αρχιεπισκόπων ή μητροπολιτών του νησιού (Βοίας, Ευρίπου, Ευβοίας, Χαλκίδος) και των υποκειμένων επισκοπών (Ωρεών, Πορθμού, Καρύστου, Αυλώνος, Αιδηψού), καθώς και η θέση τους στα Εκκλησιαστικά Τακτικά, οδηγούν συχνά σε σύγχυση τους ερευνητές της τοπικής ιστορίας. Η ύπαρξη Λατινικής Εκκλησίας παράλληλα, μετά το 1204, οι υποκείμενες στη λατινική Μητρόπολη Αθηνών, λατινικές επισκοπές του νησιού (Ευρίπου, Ωρεών, Αυλώνος, Καρύστου) ή ο διττός ρόλος του λατίνου πατριάρχη Κωνσταντινουπόλεως επισκόπου Negroponte και η συνύπαρξη Ελλήνων, Φράγκων, Βενετών, δημιουργεί νέους προβληματισμούς. Η θρησκευτική κατάσταση της Εύβοιας, τουλάχιστον έως την κατάληψή της από τους Οθωμανούς, το 1470, παραμένει στο ημίφως και χρειάζεται να αναδειχθούν περισσότερο, όπως και να συστηματοποιηθούν, οι πολύπλοκες εκκλησιαστικές σχέσεις, που δημιουργήθηκαν στο νησί.
Mechanical Analysis of the Collaring Process of the 11 T Dipole Magnet

As part of the Large Hadron Collider (LHC) accelerator upgrades foreseen by the high luminosity-LHC project, the CERN 11 T program is aimed at replacing standard LHC Nb–Ti main dipole magnets, operating with a bore field of 8.3 T, with pairs of shorter Nb3Sn dipole magnets with a bore field of 11 T and the same total integrated field, thus providing space for additional collimators in the dispersion suppressor region. At the time of the submission of this paper, six single-aperture and two double-aperture short models have been fabricated and tested. As a result of a degraded quench performance observed in some of the short models, attributed to excessive stress on the Nb3Sn coil mid-planes, a thorough investigation of the room temperature loading procedure, and in particular of the collaring process, has been launched. A 150-mm-long collared coil mockup, instrumented with strain gauges and pressure sensitive films, has been used to study the peak stresses experienced by the brittle and strain sensitive Nb3Sn cables in the different phases of the collaring and as a function of coils’ size and collaring force. In this paper, the results of the test campaign are described.
A Complementary Method of PCC for the Construction of Scalp Resting-State EEG Connectome: Maximum Information Coefficient

Disclosing the complex relationships effectively between paired brain regions played a significant role in measuring the brain functional connectivity and exploring brain topological structures. Even though Pearson correlation coefficient (PCC) has been widely used to construct functional brain networks in the previous studies, it was mainly sensitive to linear associations. Therefore, maximal information coefficient (MIC) was first utilized to make up this weakness of PCC to construct electroencephalography (EEG) connectivity in the current study. The simulation results showed that MIC could capture certain relationships which PCC failed to detect. Furthermore, brain network properties changed with various thresholds under the resting-state EEG, and the comparison analysis of network properties illustrated that MIC and PCC could capture different aspects of connections between paired brain regions. These findings indicated that MIC could be a complementary method of PCC for the construction of scalp resting-state EEG connectome and provided a novel tool to reveal the potential mechanisms of brain networks.
Attention Based Siamese Networks for Few-Shot Learning

We propose Attention based Siamese Networks for the problem of few-shot classification, where a classifier must generalize to new classes not seen in the training set, given only a few examples of each new class. In this work, we construct an efficient convolution networks to learn embedding function, and measure the similarity of two feature vectors with simple attention kernel function. Compared with state-of-the-art methods, the proposed method provides improved performance one-shot learning. Our experimental results on dataset of Omniglot and miniImageNet validate the effectiveness of the proposed method.
A Multi - Factor Weight Analysis Method of Lithiumion Batteries Based on Module Topology

Modular batteries can be widely used in energy storage scenarios, whose performance is deeply determined by cells' different electrical factors. Meanwhile, the effect of individual factors on the maximum capacity of the module varies with the topology of the module. In this paper, six kinds of lithium-ion battery modules composed of six cells, which corresponded to six kinds of typical topologies, were subjected to three factors and two levels of orthogonal test. Then, the influence of battery cell's initial capacity, voltage and internal resistance on module discharge capacity was obtained. Finally, by multivariate linear regression, the impact weight of those electric factors was extracted, which was proved to be reliable by mathematical analysis. In order to study the effects of different factors on battery module, this paper conducted complete experimental design, parameter analysis, law validation and weight extraction process. The results can provide an effective solution for improving the discharge capacity of battery energy storage module.
Resource Allocation Improvement for Non-Orthogonal Multiple Access

Non-Orthogonal Multiple Access (NOMA)has become a promising multi-users access scheme for future mobile communication networks. In NOMA, different users are multiplexed into same resource blocks with successive interference cancellation (SIC)to detect them at receiving end. This paper focuses on building NOMA 2 user system and corresponding SIC receiver model and proposing a novel power allocation algorithm that can adapt to channel changes. Simulation results reveal that improved power allocation algorithm reduces overall bits error rate (BER)of the system compared with traditional power allocation algorithms. Especially for central user, it improves the receiver's signal detection accuracy even under poor channel condition.
Second-Order Optimal Test in Composite Hypothesis Testing

We consider the hypothesis testing in which the null hypothesis is simple but the alternative hypothesis is composite. By using the information geometry method, we propose a test based on relative direction of the alternative hypothesis from the null hypothesis in the exponential coordinate of probability simplex. Pareto optimality of the proposed test is proved in the second-order regime. In contrast to the exponential error trade-off regime, there is no test that universally attains the same second-order exponent as the optimal likelihood ratio test.
A Gaussian Mixture Models based Multi-RRTs method for high-dimensional path planning

Sampling based motion planning methods such as Rapidly-exploring Random Trees (RRT) are effective for high-dimensional robot motion planning problem. In these methods, how to draw samples and select trees to extend or connect has greatly influence in efficiency. In this paper, a Gaussian Mixture Models (GMM) based Multi-RRTs method (GMMM-RRTs) is proposed for robot path planning, which accelerate the planning procedure with experiences. Firstly, the GMM is adaptively learned with the experiential paths. Secondly, multiple trees are constructed at the centres of GMM components. Then, the optimal trees are selected to extend based on heuristic search algorithm, and bias sampling with the selected GMM components. GMMM-RRTs can efficiently exploit local space while maintaining the efficiency of global path planning. Simulation and experimental results show the effectiveness of the proposed GMMM-RRTs algorithm.
CNN Descriptor Improvement Based on L2-Normalization and Feature Pooling for Patch Classification

The L2-normalization and feature pooling have a wide range of applications in image classification and have also achieved remarkable results. However, there is much room for the existing descriptors which are extracted from pre-trained Convolutional Neural Network (CNN) models, to meet the requirement of precision for patch classification. We generate CNN descriptors by using L2-normalization and feature pooling on the existing pre-trained CNN descriptors. By evaluation on the Brown dataset, the mean Average Precision (mAP) of descriptor, which is based on Inception-v3 model that applies both L2-normalization and feature pooling, reaches 99.27%, 98.97% and 98.02% in three sub-datasets. Compared with the pre-trained CNN descriptors without L2-normalization and feature pooling, the mAP of pre-trained CNN descriptors can be respectively increased by $1.41 \% \sim 17.31 \%, 3.11 \% \sim 17.99 \%$. $1.19\%\sim15.24\%$. According to the experimental results, it is obvious that L2-normalization and feature pooling are beneficial to improve the performance of pre-trained CNN descriptors.
Tutorial: Dealing with rotation matrices and translation vectors in image-based applications: A common reference system for cameras

This tutorial follows and completes a previous work concerning how to solve the factors of ambiguity intrinsic in the definition of rotation matrices, to describe the relative orientation of one or more cameras acquiring images from different points of view. The two works, jointly, aim to provide an error-avoiding methodology to describe the whole relative acquisition geometry (pose). This is a crucial task for those aerospace applications based on the use of imaging devices, like flying objects detection and tracking, automatic guidance, tridimensional reconstruction, images georegistration, and change detection. To describe the pose, not only the orientation but also the relative shift should be taken into account. This can be conveniently modeled through a translation vector. Using it together with a rotation matrix it is possible to achieve the goal, but it is also prone to ambiguity. In this contribution, the main factors that result in such ambiguity are addressed. Through a detailed analysis, it is shown how to solve them, in order to manage the interaction between translation vectors and rotation matrices properly. This avoids the errors that frequently occur in practical applications, whenever it is required to find the transformation that makes the reference system of a camera coincident with the reference system of another, or to switch from the expression of the coordinates of a point of the scene in the reference system of a camera to its expression in the reference system of another. One of the reasons why errors are likely to be made in describing the pose is the lack of a commonly adopted choice for the camera reference system. To obviate this lack, the manuscript also presents a recommended definition for it. For the sake of completeness, the definition includes a second reference system for identifying points on the camera sensor plane, in order to permit describing also the projective transformation operated by the camera during the image formation process.
A Reverse-Boot Enabled Embedded Computing System on SoC-FPGA for Prognostics and Health Management: An Application on Li-ion Batteries

In this paper, a secure embedded computing system (ECS) on System-on-Chip Field Programmable Gate Array (SoC-FPGA) through controlling boot sequence is designed. An application of prognostics and managing health conditions of Liion batteries has been implemented on the SoC-FPGA based ECS. Specifically, to increase the security of the ECS, different booting sequences have been implemented and evaluated. A prognostic algorithm has been implemented on the SoC-FPGA based ECS platform to diagnose the health condition of Lithium-ion batteries and predict the remaining useful life of these batteries. The proposed secure ECS is scalable to predict the health condition of larger scale engineering systems to optimally manage and maintain the engineering systems before systems fail.
Surgical resection as the treatment of choice for melanoma metastatic to the lung.

: Available data suggest that patients who have a limited number of pulmonary metastases may benefit from complete surgical resection if they have favorable prognostic features such as a long TDT and a long DFI. If a patient is not a surgical candidate because of radiographic evidence of extrapulmonary disease, a short TDT, or a short DFI, then concurrent or sequential biochemotherapy offers the best chance for a complete response and remission.
Disease Control With FOLFIRI Plus Ziv-aflibercept (zFOLFIRI) Beyond FOLFIRI Plus Bevacizumab: Case Series in Metastatic Colorectal Cancer (mCRC)

Background: The prognosis of patients with metastatic colorectal cancer (mCRC) is poor, especially after failure of initial systemic therapy. The VELOUR study showed modestly prolonged overall survival (OS) with ziv-aflibercept plus 5-fluorouracil, leucovorin, and irinotecan (zFOLFIRI) vs. placebo+FOLFIRI after progression on 5-fluoruracil, leucovorin, and oxaliplatin (FOLFOX) ± bevacizumab. The utility of zFOLFIRI after bevacizumab+FOLFIRI is unknown and not recommended in NCCN guidelines. We explored whether zFOLFIRI may be active beyond progression on bevacizumab+FOLFIRI. Methods: We undertook a retrospective analysis of patients treated in routine clinical practice. A chart review was conducted for a cohort (N = 19) of advanced cancer patients (18 mCRC) who received zFOLFIRI from 2014 to 2018 at Fox Chase Cancer Center (FCCC). Analysis included time on zFOLFIRI, PFS, OS, CEA trends and adverse events. A second mCRC cohort (N = 26) from the Flatiron Health EHR-derived database treated with zFOLFIRI after prior bevacizumab+FOLFOX and bevacizumab+FOLFIRI was analyzed for time-on-treatment and overall survival. Results: Median age of mCRC cohort at zFOLFIRI treatment was 54 (FCCC; N = 18) and 62 (Flatiron Health-cohort; N = 26). Of 18 FCCC mCRC patients, 1 patient had prior bevacizumab+FOLFOX and ramucirumab+irinotecan prior to zFOLFIRI for 8.5 months. Of 17 FCCC mCRC patients with prior bevacizumab+FOLFIRI who received zFOLFIRI, 13 had mutant-KRAS, 3 WT-KRAS, and one BRAF-V600E. The patient with BRAF-V600E mutation achieved stable disease on zFOLFIRI after multiple BRAF-targeted therapies. One patient (WT-KRAS mCRC) remained on zFOLFIRI for 14 months. Of 14 patients with mutated-KRAS, 8 remained on zFOLFIRI for >5 months including 3 for >15 months. The rate-of-change in CEA measures on zFOLFIRI was significantly different (p = 0.004) between rapid progressors and those with PFS>4 months. For mCRC patients treated with zFOLFIRI in the 3rd line or greater (N = 18), median PFS was 7.1 months (214 days) and median OS was 13.8 months (416 days). Median time-on-treatment with zFOLFIRI in the Flatiron Health cohort was 4.4 months, median OS was 7.8 months, and longest time-on-treatment with zFOLFIRI was 266 days. Conclusions: In these small real-world cohorts, clinical meaningful stable disease and overall survival on zFOLFIRI beyond progression on bevacizumab+FOLFIRI was observed in patients with mCRC. Further exploration of this approach is warranted.
Real-Time Hand Gesture Communication System in Hindi for Speech and Hearing Impaired

This paper proposes a novel real-time method for gesture to text (G2T) and text to gesture (T2G) in Hindi language, to assist the speech and hearing impaired people (deaf and dumb) to communicate with each other and also with normal people. In G2T system, the images of palm gestures are loaded on real time basis and hand region extraction is done on the basis of skin color segmentation. Feature extraction algorithms are used to identify 32 different gestures on the basis of 5 bit binary string. Gesture recognition algorithm is robust to hand orientation and scale changes and the proposed G2T system is able to recognize images with 98% accuracy. In T2G system, Hindi text in Devanagari is converted into binary string and their mapped corresponding gestures are displayed on screen.
Factors Affecting the Accuracy of Genomic Selection for Agricultural Economic Traits in Maize, Cattle, and Pig Populations

Genomic Selection (GS) has been proved to be a powerful tool for estimating genetic values in plant and livestock breeding. Newly developed sequencing technologies have dramatically reduced the cost of genotyping and significantly increased the scale of genotype data that used for GS. Meanwhile, state-of-the-art statistical methods were developed to make the best use of high marker density genotype data. In this study, 14 traits from four data sets of three species (maize, cattle, and pig) and five influential factors that affect the prediction accuracy were evaluated, including marker density (from 1 to ~600 k), statistical method (GBLUP-A, GBLUP-AD, and BayesR), minor allele frequency (MAF), heritability, and genetic architecture. Results indicate that in the GBLUP method, higher marker density leads to a higher prediction accuracy. In contrast, BayesR method needs more Monte Carlo Markov Chain (MCMC) iterations to reach the convergence and get reliable prediction values. BayesR outperforms GBLUP in predicting high or medium heritability trait that affected by one or several genes with large effects, while GBLUP performs similarly or slightly better than BayesR in predicting low heritability trait that controlled by a large amount of genes with minor effects. Prediction accuracy of trait with complex genetic architecture can be improved by increasing the marker density. Interestingly, for simple traits that controlled by one or several genes with large effects, higher marker density can cause a lower prediction accuracy if the QTN is included, but leads to a higher prediction accuracy if the QTN is excluded. The quantity of genetic markers with low MAF would not significantly affect the prediction accuracy of GBLUP, but results in a bad prediction accuracy performance of BayesR method. Compared with GBLUP-A, GBLUP-AD didn't show any advantages in capturing the non-additive variance for the traits with high heritability. The factors that affected prediction accuracy are discussed in this study and indicate that a combination of either GBLUP or BayesR method with moderate marker density and favorable polymorphism single nucleotide polymorphisms (SNPs) (~25 k SNPs) would always produce a good and stable prediction accuracy with acceptable breeding and computational costs.