ahmedabdelwahed/Medical_papers_title_and_abstract_NLP_dataset huggingface dataset:
3D Reconstruction of Human Motion from Monocular Image Sequences

This article tackles the problem of estimating non-rigid human 3D shape and motion from image sequences taken by uncalibrated cameras. Similar to other state-of-the-art solutions we factorize 2D observations in camera parameters, base poses and mixing coefficients. Existing methods require sufficient camera motion during the sequence to achieve a correct 3D reconstruction. To obtain convincing 3D reconstructions from arbitrary camera motion, our method is based on a-priorly trained base poses. We show that strong periodic assumptions on the coefficients can be used to define an efficient and accurate algorithm for estimating periodic motion such as walking patterns. For the extension to non-periodic motion we propose a novel regularization term based on temporal bone length constancy. In contrast to other works, the proposed method does not use a predefined skeleton or anthropometric constraints and can handle arbitrary camera motion. We achieve convincing 3D reconstructions, even under the influence of noise and occlusions. Multiple experiments based on a 3D error metric demonstrate the stability of the proposed method. Compared to other state-of-the-art methods our algorithm shows a significant improvement.
IMPLEMENTATION OF MARINE STRATEGY FRAMEWORK DIRECTIVE IN ROMANIA

The European Marine Strategy Framework Directive (MSFD; European Commission 2008) aims at achieving or maintaining a Good Environmental Status (GES) by 2020 in marine waters, following an ecosystem-based approach. According to MSFD, GES is defined in terms of 11 descriptors using a number of criteria and indicators associated to each descriptor. By the end of 2012, in Romania first steps have been undertaken in the directive implementation, including its transposition into national legislations and the preparation of the Initial Assessment (IA) (Art. 8), determination of Good Environmental Status (GES) (Art. 9), and setting Environmental Targets and Indicators (Art. 10). The MSFD process further included the development of a Monitoring and Measures Programme, as the work on the latter started in 2015 and was finalised in 2017. The aim of this paper is to describe the preparation process of the MSFD in Romania which took place up to 2017.
Improved Outcomes for Infants and Young Children Undergoing Lung Transplantation at Three Years of Age and Younger

Rationale: Since its inception, older children and adolescents have predominated in pediatric lung transplantation. Most pediatric lung transplant programs around the world have transplanted few infants and young children. Early mortality after lung transplantation and inadequate donor organs have been perceived as limitations for success in lung transplantation at this age. Objectives: Our aim was to describe our experience in a large pediatric lung transplant program with respect to lung transplantation in infants and young children, focusing on diagnosis, waitlist, and mortality. Methods: We performed a retrospective review of infants and young children under 3 years of age at the time of transplant in our program from 2002 through 2020. Results: The patient cohort represented a severely morbid recipient group, with the majority hospitalized in the intensive care unit on mechanical ventilation just before transplantation. There was a marked heterogeneity of diagnoses distinct from diagnoses in an older cohort. Waitlist time was shorter than in older age cohorts. There was a decrease in early mortality, lower incidence of allograft rejection, and satisfactory long-term survival in this age group compared with the older cohort and published experience. Severe viral infection was an important cause of early mortality after transplant. Nonetheless, survival is comparable to older patients, with better enduring survival in those who survive the early transplant period in more recent years. Conclusions: Carefully selected infants and young children with end-stage lung and pulmonary vascular disease are appropriate candidates for lung transplantation and are likely underserved by current clinical practice.
Flexible Transport of 3-D Video Over Networks

Three-dimensional (3-D) video is the next natural step in the evolution of digital media technologies. Recent 3-D autostereoscopic displays can display multiview video with up to 200 views. While it is possible to broadcast 3-D stereo video (two views) over digital TV platforms today, streaming over Internet Protocol (IP) provides a more flexible approach for distribution of stereo and free-view 3-D media to home and mobile with different connection bandwidths and different 3-D displays. Here, flexible transport refers to rate-scalable, resolution-scalable, and view-scalable transport over different channels including digital video broadcasting (DVB) and/or IP. In this paper, we first briefly review the state of the art in 3-D video formats, coding methods for different transport options and video formats, IP streaming protocols, and streaming architectures. We then take a look at beyond the state of the art in 3-D video transport research, including asymmetric stereoscopic video streaming, adaptive and peer-to-peer (P2P) streaming of multiview video, view-selective streaming and future directions in broadcast of 3-D media over IP and jointly over DVB and IP.
A propensity score-matched analysis of oncological outcome after systemic therapy for stage IV colorectal cancer: Impact of synchronous ovarian metastases

The reported incidence of synchronous and metachronous ovarian metastases (OM) from colorectal cancer (CRC) is ~3.4%. OM from CRC are often considered sanctuary sites due to their lower sensitivity to systemic treatment. It has thus been hypothesized that the presence of OM decreases overall survival. Therefore, the purpose of our study was to evaluate the impact of synchronous OM on overall survival in female patients with stage IV CRC treated with systemic therapy alone with palliative intent. The present study used data from the Netherlands Cancer Registry and included female CRC patients with synchronous systemic metastases who were treated with systemic therapy between 2008 and 2018. A subsample was created using propensity score matching to create comparable groups. Propensity scores were determined using a logistic regression model in which the dependent variable was the presence of OM and the independent variables were the variables that differed significantly between both groups. Our study included 5253 patients with stage IV CRC that received systemic therapy. Among these patients, 161 (3%) had OM while 5092 (97%) had extra-ovarian metastases only. Three-year overall survival rates did not show a significant difference between patients with OM compared to patients without ovarian metastases. Moreover, the propensity score-matched analysis showed that the presence of OM in patients treated with systemic therapy for stage IV CRC disease was not associated with decreased 3-year overall survival. However, the results of the present study should be interpreted with caution, due to its observational character and used selection criteria.
A Cost-Effective Random Testing Method for Programs with Non-Numeric Inputs

Randomtesting (RT) has been widely used in the testing of various software and hardware systems. Adaptive random testing (ART) is a family of random testing techniques that aim to enhance the failure-detection effectiveness of RT by spreading random test cases evenly throughout the input domain. ART has been empirically shown to be effective on software with numeric inputs. However, there are two aspects of ART that need to be addressed to render its adoption more widespread-applicability to programs with non-numeric inputs, and the high computation overhead of many ART algorithms. We present a linear-order ART algorithm for software with non-numeric inputs. The key requirement for using ART with non-numeric inputs is an appropriate "distance" measure. We use the concepts of categories and choices from category-partition testing to formulate such a measure. We investigate the failure-detection effectiveness of our technique by performing an empirical study on 14 object programs, using two standard metrics-F-measure and P-measure. Our ART algorithm statistically significantly outperforms RT on 10 of the 14 programs studied, and exhibits performance similar to RT on three of the four remaining programs. The selection overhead of our ART algorithm is close to that of RT.
Learning factories for future oriented research and education in manufacturing

Learning factories present a promising environment for education, training and research, especially in manufacturing related areas which are a main driver for wealth creation in any nation. While numerous learning factories have been built in industry and academia in the last decades, a comprehensive scientific overview of the topic is still missing. This paper intends to close this gap by establishing the state of the art of learning factories. The motivations, historic background, and the didactic foundations of learning factories are outlined. Definitions of the term learning factory and the corresponding morphological model are provided. An overview of existing learning factory approaches in industry and academia is provided, showing the broad range of different applications and varying contents. The state of the art of learning factories curricula design and their use to enhance learning and research as well as potentials and limitations are presented. Conclusions and an outlook on further research priorities are offered. (C) 2017 Published by Elsevier Ltd on behalf of CIRP.
4,5-Dihydro-1,2,3-oxadiazole: A Very Elusive Key Intermediate in Various Important Chemical Transformations

4,5-Dihydro-1,2,3-oxadiazoles are postulated to be key intermediates in the industrial synthesis of ketones from alkenes, in the alkylation of DNA in vivo, and in the decomposition of N-nitrosoureas; they are also a subject of great interest for theoretical chemists. In the presented report, the formation of 4,5-dihydro-1,2,3-oxadiazole and the subsequent decay into secondary products have been studied by NMR monitoring analysis. The elusive properties evading characterization have now been confirmed by (1) H, (13) C, and (15) N NMR spectroscopy, and relevant 2D experiments at very low temperatures. Our experiments with suitably substituted N-nitrosoureas using thallium(I) alkoxides as bases under apolar conditions answer important questions on the existence and the secondary products of 4,5-dihydro-1,2,3-oxadiazole.
Reimagining futures: Collaborations between artists, designers, and scientists as a roadmap to help solve the climate crisis

As the climate crisis intensifies amid some persistent public denial of the science, there exists a necessary opportunity for scientists to engage in transdisciplinary collaborations, such as those with artists and designers, in an effort to both improve the communication of climate science, but also to bolster the production of scientific knowledge. We demonstrate how art and design can activate the human imagination and promote collaboration across disciplines in a way that the post-Enlightenment scientific endeavor has historically been unable to do and can provide a framework for developing sustainable solutions to the climate crisis. Here, we describe 2 studies that involved collaboration between artists and designers and climate scientists. The first study paired a team of designers and computer scientists with climate and atmospheric scientists from the Jet Propulsion Laboratory in an effort to (re)build an exploratory research interface for the Multi-Angle Spectroradiometer Plume Height Project dataset. This project not only produced an aesthetic visualization interface with highly improved functionality, but it also demonstrated how an improved interface can enable scientists to pursue more and "better" research hypotheses. For the second study, we worked with artists at the School of the Art Institute of Chicago to create three sonic-based art pieces that effectively communicated the science of climate change, appealed to human aesthetic judgment, and expanded the scope of our "ecological awareness." We show that, while collaborations between artists and scientists are not necessarily novel, the integration of art, design, and science from a project's inception can improve both the production of knowledge and constitute an entry point for regular people to understand and engage with their rapidly changing planet.
Human Platelet Lysate as Valid Cell Growth Additive to Assess Protein Acetylation

Experiments with cell cultures are an alternative to animal experiments. One problem, however, is the ethically questionable use of fetal calf serum (FCS, which some authors refer to as fetal bovine serum, FBS). Furthermore, FCS is an undefined variable mixture and a possible source of contaminations. We reported that lysine acetylation was very similar in cells in growth media containing FCS or human platelet lysate (hPL). Here, we explain in detail how to generate and use hPL as a cost-effective substitute for FCS in experiments with mammalian cell cultures. A large panel of cells and conditions can be cultured and tested in media with hPL.
Dissecting the cannabinergic control of behavior: The where matters

The endocannabinoid system is the target of the main psychoactive component of the plant Cannabis sativa, the Δ(9)-tetrahydrocannabinol (THC). This system is composed by the cannabinoid receptors, the endogenous ligands, and the enzymes involved in their metabolic processes, which works both centrally and peripherally to regulate a plethora of physiological functions. This review aims at explaining how the site-specific actions of the endocannabinoid system impact on memory and feeding behavior through the cannabinoid receptors 1 (CB1 R). Centrally, CB1 R is widely distributed in many brain regions, different cell types (e.g. neuronal or glial cells) and intracellular compartments (e.g. mitochondria). Interestingly, cellular and molecular effects are differentially mediated by CB1 R according to their cell-type localization (e.g. glutamatergic or GABAergic neurons). Thus, understanding the cellular and subcellular function of CB1 R will provide new insights and aid the design of new compounds in cannabinoid-based medicine. Also watch the Video Abstract.
Greedy Caching: An optimized content placement strategy for information-centric networks

Most content placement strategies in information-centric networks (ICN) primarily focus on pushing popular content to the network edge, fail to effectively utilize the caches in the network core and provide limited performance improvement. In this paper, we propose Greedy Caching, a content placement strategy that determines the set of content to be cached at each network node so as to maximize the network hit rate. Greedy Caching caches the most popular content at the network edge, recalculates the relative popularity of each piece of content based on the request miss stream from downstream caches and then determines the content to be cached in the network core. We perform exhaustive simulation in the Icarus simulator [1] using realistic Internet topologies (e.g., GARR, GEANT, WIDE, scale-free networks) as well as real-world request stream traces, and demonstrate that Greedy Caching provides significant improvement in content download delay (referred to as latency) over state-of-the-art dynamic caching and routing strategies for ICN for a wide range of simulation parameters. Our simulation results suggest an improvement of 5-28% in latency and 15-50% improvement in hit rate over state-of-the-art policies for synthetic traces. (C) 2018 Elsevier B.V. All rights reserved.
New Electrographic Marker? Evaluation of Sleep Spindles in Children with Attention Deficit Hyperactivity Disorder

Introduction: Attention deficit and hyperactivity disorder (ADHD) is one of the most common developmental disorders in childhood which lasts lifelong. Sleep structure and sleep spindle features are disorganized in ADHD. In this study, we aimed to look for a new, simple, inexpensive, and an easily detectable electrographic marker in the diagnosis of ADHD by using electroencephalography (EEG). Method: We included treatment free 35 patients with ADHD and 32 healthy children (HC) who were examined by polysomnography (PSG) and EEG for sleep disorders. The ADHD group were separated into three groups according to predominant presentations of ADHD. We determined the sleep staging and slow and fast sleep spindles, calculated each spindle's amplitude, frequency, activity, duration and density at non rapid eye movement (REM) sleep stage 2. Results: Slow sleep spindle's amplitude, duration, density and activity are significantly higher in ADHD group (most significant in ADHD-I) than the HC group (p < 0,05). Sleep spindle's features are not statistically significant between in ADHD subgroups. Conclusions: In children with ADHD, slow sleep spindles showed higher amplitude, activity, density and duration in the frontal regions. These results indicate that slow sleep spindles in children with ADHD may reflect executive dysfunction and slow frontal spindles may be useful as a new electrographic marker in children with ADHD. This is the first study of its kind evaluating all aspects of sleep spindles in ADHD patients.
CRISPR Activation/Interference Screen to Identify Genetic Networks in HDAC-Inhibitor-Resistant Cells

Epigenetic alterations have been identified in various tumor types. In part, these alterations are mediated via increased histone deacetylase activity. Although preclinical results of monotherapies with histone deacetylase inhibitors (HDACi) are promising, success in clinical trials is limited. Reasons for these limitations may be de novo or acquired resistance to HDAC inhibitors that could be overcome with rational combination therapies. This requires knowledge of resistance mechanism along with the involved genetic networks. One way to identify such genetic networks is the implementation of a CRISPR-based technology allowing transcriptional repression (CRISPRi) and activation (CRISPRa) at a genome-wide scale. We describe a simple approach to amplify and validate sgRNA libraries, generate a myeloid progenitor cell line expressing catalytically dead Cas9 (dCas9) fusion proteins with transcriptional effectors to repress or activate genetic regions of interest and demonstrate a complementary genome-wide HDACi resistance screening approach. Furthermore, we present bioinformatics tools for quality control and analysis of the sequencing data.
[Study on Clear Optic Evaluation Method of Intraocular Lenses]

The study explored the methods of determining the diameter of clear optic of intraocular lenses by analyzing the design principles and influencing factors of clear optic. Measure and compare the clear optic diameters of intraocular lenses from -10.0 D to 36.0 D respectively. The measurement results of the two methods have good consistency and can be used in the measurement of clear optic. But considering the accuracy and convenience of actual measurement, profile projector measurement principle is more suitable for conventional mass production testing. The Schlieren technique method can provide more useful information in product development and feature description stage, and can be used as an auxiliary verification method for clear optic diameter measurement.
Purification, characterization of an entomopathogenic fungal lectin from Purpureocillium lilacinum and its involvement in pathogenesis leading to mycotic keratitis

A lectin PCL, from Purpureocillium lilacinum a saprophytic, filamentous fungus was purified from the crude extract of the mycelia using 70% ammonium sulphate precipitation followed by affinity chromatography on mucin-Sepharose 4 B column. PCL is a monomer with an apparent molecular mass of 18.5 kDa as revealed by SDS-PAGE under both reducing and non-reducing conditions. PCL is a blood group non-specific lectin and has highest affinity towards chitin, mucin, asialomucin, fetuin with a MIC of 0.15 µg/mL and also recognizes L-fucose, galactose, lactose, N-acetyl galactosamine, hyaluronic acid. PCL is stable up to 60 °C and within the pH range 4-8. To understand its role in pathogenesis, effect of PCL was evaluated on human corneal epithelial cells (HCECs). PCL showed strong glycan mediated binding to HCECs and PCL showed proinflammatory response at lower concentrations by stimulating secretion of IL-6, 8. In contrast PCL at higher concentrations revealed opposite effect of HCECs growth inhibition. All these results collectively support the involvement of PCL in mediating host pathogen interactions possibly leading to pathogenesis. In addition, considering the entomopathogenic effect of Purpureocillium lilacinum, PCL may be attributed for this beneficiary effect, which needs to be explored.
Individualized Statistical Modeling of Lesions in Fundus Images for Anomaly Detection

Anomaly detection in fundus images remains challenging due to the fact that fundus images often contain diverse types of lesions with various properties in locations, sizes, shapes, and colors. Current methods achieve anomaly detection mainly through reconstructing or separating the fundus image background from a fundus image under the guidance of a set of normal fundus images. The reconstruction methods, however, ignore the constraint from lesions. The separation methods primarily model the diverse lesions with pixel-based independent and identical distributed (i.i.d.) properties, neglecting the individualized variations of different types of lesions and their structural properties. And hence, these methods may have difficulty to well distinguish lesions from fundus image backgrounds especially with the normal personalized variations (NPV). To address these challenges, we propose a patch-based non-i.i.d. mixture of Gaussian (MoG) to model diverse lesions for adapting to their statistical distribution variations in different fundus images and their patch-like structural properties. Further, we particularly introduce the weighted Schatten p-norm as the metric of low-rank decomposition for enhancing the accuracy of the learned fundus image backgrounds and reducing false-positives caused by NPV. With the individualized modeling of the diverse lesions and the background learning, fundus image backgrounds and NPV are finely learned and subsequently distinguished from diverse lesions, to ultimately improve the anomaly detection. The proposed method is evaluated on two real-world databases and one artificial database, outperforming the state-of-the-art methods.