Miracle-dz/UniFAR-FTUs huggingface dataset:
The History of Endovascular Stroke Treatment: From Local Intraarterial Fibrinolysis to Stent Retriever Thrombectomy

Abstract Background Acute thromboembolic occlusions of large intracranial arteries are associated with high rates of permanent disability and mortality. Intravenous thrombolysis (IVT) in these patients resulted in an inadequate rate of recanalization and has had limited clinical success. Various endovascular procedures have been attempted to remove intracranial thrombi and reopen occluded vessels. These technical innovations led to the publication of initial case reports, but the methods ultimately did not endure. Endovascular treatment of acute cerebral ischemia was performed only rarely and in selected centers as part of individualized curative attempts. The Solitaire stent was originally developed to treat intracranial aneurysms through stent-assisted coil occlusion. The suggestion that this stent could also be used for intracranial thrombectomy was made as early as 2003 and was clinically confirmed in 2008. Releasing a Solitaire stent into an embolically occluded large cerebral artery, with an incubation time of approximately 3 minutes and slow retraction of the stent, has led to unprecedented success rates of thrombus removal and (sub)total recanalization in more than 90 % of patients. Methods This review article aimed to describe the steps in the development of endovascular stroke therapy, beginning with intra-arterial thrombolysis and early technical innovations leading to the eventual success of stent retriever thrombectomy. Conclusion The potential for mechanical recanalization of acutely occluded large cerebral arteries could not be fully exploited until the advent of stent retriever thrombectomy. The entire concept of stroke treatment fundamentally changed after complete and rapid recanalization first became possible. Randomized controlled trials have shown superiority of stent retriever thrombectomy over IVT. An unparalleled boom in endovascular stroke therapy followed. Key Points: The history of endovascular stroke treatment was marked by setbacks in the first three decades. Stent retriever thrombectomy is the first procedure enabling recanalization of acute large intracranial artery occlusions in more than 90 % of patients. Stent retriever thrombectomy has transformed stroke care and neuroradiology in unprecedented ways. Further technical improvements will enable even faster, safer, complete recanalization in the near future. Further improvements in clinical outcomes will probably be determined by aspects beyond endovascular methods alone.
Condiciones académicas y tecnológicas para la gestión de la educación en tiempos de pospandemia

La gestión educativa como área de las ciencias sociales debe plantearse la necesidad de pensar de la dimensión coyuntural y estructural las condiciones de gestión que se delinean como permanentes en el período de la pospandemia. Este trabajo pretende analizar las condiciones académicas y tecnológicas que se han sobrevenido sobre la gestión educativa en tiempos de pospandemia. La metodología consistió en el análisis documental de bibliografía teórica y empírica sobre gestión de la educación. Los resultados indican que dado a las necesidades de optimización de los recursos, la consideración de la naturaleza en procesos educativos y la inclusión educativa adquieren prioridad condiciones académicas y tecnológicas de gestión de la educación subestimadas en tiempos prepandémicos. Se concluyen que, la gestión educativa está llamada a acoger, mediante una reflexión permanente de sus procesos, las opciones académicas y tecnológicas que favorezcan la integralidad y la inclusión.
Deep learning with a multi-task convolutional neural network to generate a national-scale 3D soil data product: Particle size distribution of the German agricultural soil-landscape

Many soil functions and processes are controlled by the soil particle size distribution. The generated three-10 dimensional continuous data product, which covers the particle size fractions of sand, silt, and clay in the agricultural soil-landscape of Germany, has a spatial resolution of 100 m and a depth resolution of 1 cm. This product is an important component for predicting the effects of agricultural management practices and their adaptability to climate change, as well as for analyzing soil functions and numerous risks. The effectiveness of the convolutional neural network (CNN) algorithm in producing multidimensional, multivariate data products is demonstrated. Even though the potential of this deep learning 15 approach to understand and model the complex soil-landscape relationship is virtually limitless, limitations are data-driven. Further research is needed to assess the required complexity and depth of the CNN and the inclusion of the landscape surrounding each soil profile.
Advances in targeting the extracellular matrix for glaucoma therapy: current updates

ABSTRACT Introduction Elevated intraocular pressure (IOP) is a well-recognized risk factor for development of primary open angle glaucoma (POAG), a leading cause of irreversible blindness. Ocular hypertension is associated with excessive extracellular matrix (ECM) deposition in trabecular meshwork (TM) resulting in increased aqueous outflow resistance and elevated IOP. Hence, therapeutic options targeting ECM remodeling in TM to lower IOP in glaucomatous eyes are of considerable importance. Areas covered This paper discusses the complex process of ECM regulation in TM and explores promising therapeutic targets. The role of Transforming Growth Factor-β as a central player in ECM deposition in TM is discussed. We elaborate the key regulatory processes involved in its activation, release, signaling, and cross talk with other signaling pathways including Rho GTPase, Wnt, integrin, cytokines, and renin-angiotensin-aldosterone. Further, we summarize the therapeutic agents that have been explored to target ECM dysregulation in TM. Expert opinion Targeting molecular pathways to reduce ECM deposition and/or enhance its degradation are of considerable significance for IOP lowering. Challenges lie in pinpointing specific targets and designing drug delivery systems to precisely interact with pathologically active/inactive signaling. Recent advances in monoclonal antibodies, fusion molecules, and vectored nanotechnology offer potential solutions.
Soil Nutrient and Greenhouse Gas Cycles in Managed Mixed Deciduous Ontario Forests: The Role of Elevated Atmospheric Nitrogen Deposition and Nutrient and Biochar Amendments

Canada’s temperate forests are experiencing an environmental disturbance in the form of atmospheric nitrogen deposition arising from fossil fuel burning and agricultural practices. Nitrogen, a major nutrient required for plants and soil microorganisms, is normally in short supply in temperate forest ecosystems. However, when soil nitrogen is in excess, various negative impacts can result such as nutrient leaching, increased nitrous oxide emissions and disturbances to carbon cycling, including reduced soil methane uptake. Research has revealed a shift from nitrogen to phosphorus limitation in forests in central Ontario where chronic nitrogen deposition rates are high, and introducing soil amendments might have the potential to mitigate these negative effects. Before management strategies can be devised, it is important to characterize the degree of nitrogen excess, and how soil nutrient cycling and fluxes of
The risk of pet animals in spreading severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) and public health importance: An updated review

Abstract Since the outbreak of SARS‐CoV‐2 was first identified in 2019, it has been reported that the virus could infect a variety of animals either naturally or experimentally. This review discusses the occurrence SARS‐CoV‐2 in dogs and cats and the role of these animals in transmitting coronavirus disease 2019 (COVID‐19) to their owners. The data were collected from epidemiological studies and case reports that focused on studying the occurrence of SARS‐CoV‐2 in pet animals and their owners. Epidemiological studies and case reports indicate that dogs and cats are infected with SARS‐CoV‐2 either naturally or experimentally; however, the global number of naturally infected animals is far lower than the number of people who have COVID‐19. These studies demonstrate that pet animals acquire the infection from direct contact with COVID‐19‐infected owners. Currently, there are no studies reporting that dogs and cats can transmit SARS‐CoV‐2 to other animals and humans, under natural conditions. The emergence of SARS‐CoV‐2 infection in companion animals (dogs and cats) in different countries worldwide raises concerns that pets are at higher risk for spreading and transmitting SARS‐CoV‐2 to humans and other animals, which poses a hazard to the public health. Therefore, investigating the role of dogs and cats in the transmission and epidemiology of SARS‐CoV‐2 will help us to design and implement appropriate preventive measures against the further transmission of SARS‐CoV‐2.
Emotion recognition based on convolutional gated recurrent units with attention

Studying brain activity and deciphering the information in electroencephalogram (EEG) signals has become an emerging research field, and substantial advances have been made in the EEG-based classification of emotions. However, using different EEG features and complementarity to discriminate other emotions is still challenging. Most existing models extract a single temporal feature from the EEG signal while ignoring the crucial temporal dynamic information, which, to a certain extent, constrains the classification capability of the model. To address this issue, we propose an Attention-Based Depthwise Parameterized Convolutional Gated Recurrent Unit (AB-DPCGRU) model and validate it with the mixed experiment on the SEED and SEED-IV datasets. The experimental outcomes revealed that the accuracy of the model outperforms the existing state-of-the-art methods, which confirmed the superiority of our approach over currently popular emotion recognition models.
Data Report: Sediment Geochemical Results from ODP Leg 189, Site 1171—Eocene to Present

A primary goal of Leg 189 was to evaluate Cenozoic changes in ocean circulation and the subsequent influence on climate variability (Exon, Kennett, Malone, et al., 2001; Exon et al., 2002). Our approach is to use bulk sediment geochemical records to try to understand the influences of changing ocean circulation and climate on biogeochemical cycles and export production (e.g., Latimer and Filippelli, 2001, 2002). Site 1171 (48°S, 149°E) is located on the South Tasman Rise at a water depth of ~2150 m. Late Paleocene to late Eocene age sediments represent shallow-water silty claystones and claystones (Exon, Kennett, Malone et al., 2001). A 6-m section of glauconitic sandstone to siltstone is observed in the uppermost upper Eocene and is followed by a sharp lithologic change from shallow-water siliciclastics to pelagic carbonates (Exon, Kennett, Malone, et al., 2001). Sediments of Oligocene age to present are predominantly nannofossil ooze or chalk. Sediment geochemistry allows us to identify changes in metal sources and terrigenous inputs using elemental data based on Fe, Al, and Ti concentrations and elemental ratios, such as Al/Ti and Fe/Ti. To assess export production, we use records of phosphorus (P) and barium (Ba) concentrations and P/metal and Ba/metal ratios, with elevated values being interpreted as higher export production. 1Latimer, J.C. , and Filippelli, G.M. , 2003. Data report: Sediment geochemical results from ODP Leg 189, Site 1171—Eocene to present. In Exon, N.F. , Kennett, J.P., and Malone, M.J. (Eds.), Proc. ODP, Sci. Results, 189, 1–13 [Online]. Available from World Wide Web: <http:// www-odp.tamu. edu/publications/ 189_SR/VOLUME/CHAPTERS/ 102.PDF>. [Cited YYYY-MM-DD] 2Department of Geological Sciences, Indiana University, Bloomington IN 47405, USA. 3Department of Geology and Center for Earth and Environmental Sciences, Indiana University–Purdue University at Indianapolis, 723 West Michigan Street, Indianapolis IN 46202, USA. Correspondence author: jclatime@iupui.edu
NATIONAL SURVEY OF DRINKING AND DRIVING ATTITUDES AND BEHAVIOR: 1995

This report presents findings from the first (1991), second (1993), and third (1995) surveys conducted by the National Highway Traffic Safety Administration on attitudes and behaviors of the general public related to drinking and driving. The purpose of these periodic surveys is to track change in drinking and driving attitudes and behaviors, and thereby provide data needed to guide programmatic activity directed at the drinking and driving problem. The three surveys were administered to a national probability sample of driving age individuals residing in the United States. The surveys provide data on various topics relevant to the drinking and driving problem, including: support for taking action to reduce drinking and driving, opinions about current enforcement and penalties, expectations of consequences, intervention behavior, avoidance of drinking and driving, frequency of drinking and driving, efforts by hosts to prevent their guests from drinking and driving, and frequency of riding with a driver who may have consumed too much alcohol to be safe. The 1995 survey findings show that positive changes have taken place in drinking and driving attitudes and behavior since the 1991 and 1993 surveys. There has been a decline in the proportion of the population (age 16-64) who report having driven after drinking in the past year (from 28% to 24%) and the proportion who have ridden with a driver who may have drunk too much to be safe (from about 14% to 11%). Despite a slight decline since 1993, the public's concern about drinking and driving remains very high; 86% think it is "very important" to do something about the problem and 79% see drinking and driving as a "major threat" to the personal safety of themselves or their family. Two thirds of the public (age 16-64) believe sobriety checkpoints should be used more frequently (up slightly from 1993), while the percentage of the public who think penalties for drinking and driving violations should be much more severe is up substantially (37% in 1993 vs. 46% in 1995).
DURATION, INTENSITY, AND CONTENT OF PHYSICAL EDUCATION CLASSES IN A REPRESENTATIVE SAMPLE OF CHILDREN ATTENDING 5TH AND 6TH GRADES OF PRIMARY EDUCATION

Physical Education (PE) is an educational process that develops the knowledge, skills, attitudes, and well-being of children, through games, sports, exercises, etc. The study aimed to evaluate the parameters of physical activity (PA) during PE class and to investigate the content, time, and intensity of children who participated in PE class, by gender and obesity status. PA and PE items were assessed by a self-administrated PA checklist, proper for children. A representative sample of Greek boys and girls aged 10 to 12 years (N=3195) participated in the study. Boys incorporated higher levels of moderate to vigorous PA (MVPA) (62 ± 45 min/d) than girls (27 ± 33 min/d, p<0.05). Students, who participated in PE classes, presented increased total PA (139 ± 2 vs. 116 ± 51 min/d, p<0.05) and MVPA (62 ± 38 vs. 40 ± 32 min/d, p<0.05), and a higher percentage of them met (77 vs. 66%, p<0.05) the recommended PA levels than those who didn't participate. Among participants in PE classes, boys reported higher time of MVPA than girls (19.4 ± 23.9 vs. 10.3 ± 17.7 min/d, p<0.05), while girls had more time in light PA as compared to boys (15.1 ± 18.1 vs. 20.5 ± 21.3 min/d, p<0.05). There were no significant differences between normal-weight and overweight/obese participants in PE classes neither in PA sub-components (total PA, LPA, and MVPA) nor in sports/games did they participate. PE classes play a significant role in students' levels of PA, especially for overweight/obese children. Article visualizations:
La modélisation du tutorat dans les systèmes tutoriels intelligents

Cette communication propose une synthese et une reflexion sur le sujet de la modelisation du tutorat dans les systemes tutoriels intelligents. Elle en precise l'origine et les defis, ainsi que les travaux realises et les tendances observees. On y aborde les questions de la caracterisation du tutorat, de sa definition, des sources de connaissances utilisees, et des techniques de modelisation. Une description des fonctions et des variables est proposee, ainsi que les hypotheses formulees et retenues pour implementation et evaluation dans la conception des systemes tutoriels intelligents. La question de l'adaptation, fondamentale pour les systemes tutoriels intelligents, y est privilegiee.
Utilisation de la robotique pédagogique pour enseigner l'intelligence artificielle : une expérience d'approche par projet auprès d’étudiants en informatique

Inspired by prestigious institutions (including MIT), this pedagogical project aims to provide an attractive medium for teaching artificial intelligence through interdisciplinary projects and to improve the success of undergraduate and master's students. Indeed, by involving students in projects that let them discover the different subjects taught in their future courses, we want to awake undergraduate students' interest and assist them in building their training project.
Evaluating the microbial safety status of products from sustainable organic agriculture

There has been a steady increase in the demand for organic and sustainable agricultural products. Consumers increasingly prefer non – GMO products grown without pesticides and antibiotics. In order to satisfy the increasing demand, several agricultural producers have opted for use of different types of modern agricultural practices which are more efficient and sustainable than conventional methods. My research focuses on two such modern agricultural practices. Because the products from these methods do not have many food safety interventions applied to them, it is important to make sure that they are free of pathogens and are safe for human consumption. My research 1) Identifies the food safety hazards associated with an aquaponic food production system and studies the efficacy of UV intervention, and 2) Evaluates the food safety status of the initial phase of an integrated crop-livestock organic agricultural system. Aquaponics is a growing trend in food production as it is seen as a sustainable, spaceand energy-efficient approach for production of fruits, vegetables and seafood. Within aquaponics, few microbial studies have been conducted to determine the food safety status of its units. The aim of this study was to determine the food safety status and the effectiveness of ultraviolet treatment (15 watt UV light, luminous flux of 900 lumens) as a food safety intervention in reducing the microbial loads of the water system, in a model aquaponic unit that is growing lettuce, basil and barramundi (Australian Sea Bass). Large Leaf basil, Buttercrunch Bibb lettuce, water and fish swab samples were collected throughout the 118-day production period and microbial analysis was conducted for the presence of E. coli O157:H7, Aeromonas and Salmonella spp. and the prevalence of aerobic plate counts (APC), coliforms, and fecal coliforms in the
ULTRASOUND : EFFECT OF CONCENTRIC VS . ECCENTRIC STENOSIS ON TURBULENCE AND RECIRCULATION

TAMIE L. POEPPING,*z RICHARD N. RANKIN,zk and DAVID W. HOLDSWORTHyzx{ *Department of Physics and Astronomy, University of Western Ontario, London, Ontario, Canada; yDepartment of Medical Biophysics, University of Western Ontario, London, Ontario, Canada; zDepartment of Medical Imaging, University of Western Ontario, London, Ontario, Canada; xDepartment of Surgery, University of Western Ontario, London, Ontario, Canada; kLondon Health Sciences Centre, London, Ontario, Canada; and {Robarts Research Institute, London, Ontario, Canada
Convolutional neural network regression to estimate the mass parameter of astrophysical binary black hole systems

In this paper we propose the use of a deep learning based model for inferring astrophysical information of binary black hole (BBH) systems from observed gravitational wave (GW) signals. We focused in estimating the total mass of BBH systems M T using a convolutional neural network regression (CNNR) model. We built a large dataset of 2D images representing the time-frequency evolution of BBH GW signals which are embedded in noise, where for each generated image the real total mass is known. A hold-out cross-validation procedure was performed to train and evaluate five architectures of CNNR models with different number and sizes of kernels The results indicate that the proposed deep neural network models for regression provide reliable point-parameter estimations with high accuracy. This estimation parameter approach can be easily extended to reconstruct more parameters from astrophysical sources directly from obseved GW events.
Climate change and the expansion of thermophilic fishes in the northwestern Mediterranean: the importance of studying condition and reproduction to understand the increase in their abundance

A direct consequence of sea warming in the Mediterranean is a increase in the abundance of thermo-tolerant species fish species such as Sphyraena viridensis, Pomadasys incisus, Pomatomus saltatrix and Trachinotus ovatus. The results of this thesis indicated that different thermal-related biological responses may exist depending on the species, which in turn strengthens the claim that temperature plays a key role in regulating the physiology of fishes, especially in those warm-water species spreading northwards. Climate change is at least partly responsible for the northward spread and increasing abundance of warm-water species, and their physiological adaptations to the rising sea temperatures might indeed be playing an important role in the establishment into areas these thermophilic fauna did not previously occupy. Una consecuencia directa del calentamiento del mar Mediterraneo es un aumento de la abundancia de especies termotolerantes como Sphyraena viridensis, Pomadasys incisus, Pomatomus saltatrix y Trachinotus ovatus. Los resultados de esta tesis indican que pueden existir diferentes respuestas biologicas relacionadas con la temperatura dependiendo de la especie, lo que a su vez refuerza la idea de que la temperatura juega un papel clave en la regulacion de la fisiologia de los peces, especialmente en aquellas especies de agua calidas que se estan expandiendo hacia el norte. El cambio climatico es al menos en parte responsable de la propagacion hacia el norte y el aumento de la abundancia de especies de aguas calidas en el Mar Mediterraneo, y que sus adaptaciones fisiologicas al incremento de la temperatura del mar podrian de hecho estar jugando un papel importante en el establecimiento de esta fauna termofila en zonas que no ocupan previamente.