Miracle-dz/UniFAR-FTUs huggingface dataset:
Case Fatality Risk of the First Pandemic Wave of Coronavirus Disease 2019 (COVID-19) in China

e86–e87. ) Background. To assess the case fatality risk (CFR) of COVID-19 in mainland China, stratified by region and clinical category, and estimate key time-to-event intervals. Methods. We collected individual information and aggregated data on COVID-19 cases from publicly available official sources from 29 December 2019 to 17 April 2020. We accounted for right-censoring to estimate the CFR and explored the risk factors for mortality. We fitted Weibull, gamma, and log-normal distributions to time-to-event data using maximum-likelihood estimation. Results. We analyzed 82 719 laboratory-confirmed cases reported in mainland China, including 4632 deaths and 77 029 dis-charges. The estimated CFR was 5.65% (95% confidence interval [CI], 5.50–5.81%) nationally, with the highest estimate in Wuhan (7.71%) and lowest in provinces outside Hubei (0.86%). The fatality risk among critical patients was 3.6 times that of all patients and 0.8–10.3-fold higher than that of mild-to-severe patients. Older age (odds ratio [OR], 1.14 per year; 95% CI, 1.11–1.16) and being male (OR, 1.83; 95% CI, 1.10–3.04) were risk factors for mortality. The times from symptom onset to first healthcare consultation, to laboratory confirmation, and to hospitalization were consistently longer for deceased patients than for those who recovered. Conclusions. Our CFR estimates based on laboratory-confirmed cases ascertained in mainland China suggest that COVID-19 is more severe than the 2009 H1N1 influenza pandemic in hospitalized patients, particularly in Wuhan. Our study provides a comprehensive pic-ture of the severity of the first wave of the pandemic in China. Our estimates can help inform models and the global response to COVID-19.
DDDT_A_245970 2853..2863

*These authors contributed equally to this work Background: Coronary artery disease (CAD) leads to the highest mortality worldwide, seriously threatening human health. Tanshinone IIA (Tan IIA), which could be extracted from Danshen, is applied in the treatment of cardiovascular and cerebrovascular diseases. MicroRNAs (miRNAs, miRs) play pivotal roles in cell proliferation and cell apoptosis of the cardiovascular system. The aim of the present study was to explore the role of Tan IIA in CAD in vitro and the underlying molecular mechanism. Methods: Real-time polymerase chain reaction (RT-PCR) and Western blot were used for the detection of miRNA/mRNA and protein, respectively. Target genes of miR-133a-3p were searched in TargetScan, and the targeting relationship was verified by dual-luciferase reporter assay. Cell proliferation was determined using a Cell Counting Kit-8 (CCK-8) and EdU labeling. Cell apoptosis was detected by flow cytometry and TUNEL staining. Results: In the present study, lower miR-133a-3p level and higher epidermal growth factor receptor (EGFR; the target of miR-133a-3p) level were found in H2O2-induced H9c2 cells. In addition, Tan IIA upregulated miR-133a-3p and downregulated EGFR expression. Moreover, Tan IIA promoted cell proliferation and suppressed apoptosis and enhanced G0/G1, which was reversed by miR-133a-3p inhibitor, while siRNA-EGFR abolished the effects induced by miR-133a-3p in H2O2-induced H9c2 cells. Conclusion: Tan IIA reversed H2O2-induced cell proliferation reduction, cell apoptosis induction, and G0/G1 arrest reduction in H9c2 cells by miR-133a-3p/EGFR axis. The findings suggested a potential molecular basis of Tan IIA in treating patients with CAD.
DEPARTMENT OF ECONOMICS DISCUSSION PAPER SERIES Shopping Malls, Platforms and Consumer Search

We consider a general model of a market for diﬀerentiated goods, in which ﬁrms are located in marketplaces: shopping malls or platforms. There are search frictions between the marketplaces, but not within them. Marketplaces diﬀer in their size. We show that consumers prefer to start their search from the largest marketplace and continue in the descending order of their size. We show that the descending search order is the only search order which can be a part of an equilibrium for any market conﬁguration. Despite charging lower prices, ﬁrms at larger marketplaces earn higher proﬁts, and under free entry all ﬁrms cluster at one place. If a marketplace determines the price of entry, the equilibrium marketplace size depends negatively on search costs.
Variable order 3D models of bone remodelling

This paper presents simulations of a three-dimensional model of the bone remodelling process. The model consists of a set of variable order partial diﬀerential equations, in which the varying order depends on the presence of tumour cells. The simulations are of a two-dimensional bone, to make visualisation simpler. They show that this model corresponds to the known evolution of bone remodelling, and is simpler than integer order models found in the literature. Abstract. This paper presents simulations of a three-dimensional model of the bone remodelling process. The model consists of a set of variable order partial differential equations, in which the varying order depends on the presence of tumour cells. The simulations are of a two-dimensional bone, to make visualisation simpler. They show that this model corresponds to the known evolution of bone remodelling, and is simpler than integer order models found in the literature.
RootScape: A landmark-based system for rapid screening of root architecture in Arabidopsis thaliana

The architecture of plant roots affects essential functions including nutrient and water uptake, soil anchorage, and symbiotic interactions. Root architecture comprises many features that arise from the growth of the primary and lateral root. These root features are dictated by the genetic background, but are also highly responsive to the environment. Thus, Root System Architecture (RSA) represents an important and complex trait that is highly variable, affected by genotype x environment interactions, and relevant to survival/performance. Quantification of RSA in Arabidopsis thaliana using plate-based tissue culture is a very common and relatively rapid assay, but quantifying RSA represents an experimental bottleneck when it comes to medium or high-throughput approaches used in mutant or genotype screens. Here, we present “RootScape”, a landmark-based allometric method for rapid phenotyping of Root System Architecture using Arabidopsis as a case study. Using the software AAMToolbox, we created a 20-point landmark model that captures RSA as one integrated trait, and used this model to quantify changes in the RSA of Arabidopsis (Col-0) wild-type plants grown under different hormone treatments. Principal Component Analysis (PCA) was used to compare RootScape to conventional methods designed to measure root architecture. This analysis showed that RootScape efficiently captured nearly all the variation in root architecture detected by measuring individual root traits, and is five-to-ten times faster than conventional scoring. We validated RootScape by quantifying the plasticity of RSA in several mutant lines affected in hormone signaling. The RootScape analysis recapitulated previous results that described complex phenotypes in the mutants and identified novel gene-by-environment interactions.
Des langages de modélisation dédiés aux environnements de méta-modélisation dédiés

Les langages dedies (DSL) sont de plus en plus utilises parce qu’ils permettent aux utilisateurs qui ne sont pas des experts en programmation d’exprimer des solutions avec des langages simples qui capturent l’expertise de leur domaine. C’est encore plus vrai pour les langages dedies graphiques (DSML) qui ont un niveau d’abstraction plus eleve que les langages dedies de programmation. Implementer un DSML revient generalement a fournir un editeur dedie qui permette aux utilisateurs de manipuler les abstractions de leur domaine (d’instancier le langage). Les experiences ont montre que l’implementation d’un tel editeur dedie graphique est couteuse en termes de temps et de ressources humaines. Nous constatons que la plupart des plates-formes permettant de construire ce type d’editeur (EMF/GMF, DSL Tools, Obeo Designer, .) sont generiques. Elles essayent d’adresser le maximum de domaines possibles, ce qui les rend complexes et inadaptees a des cas d’utilisation specifiques. Si la specialisation aux domaines a ete un succes pour les langages, pourquoi ne pas l’appliquer aux plates-formes de construction d’editeurs ? Cela reviendrait a concevoir pour un domaine donne, une plate-forme permettant de construire facilement des editeurs dedies pour ce domaine. Cette plate-forme n’aurait pas les defauts d’une plate-forme totalement generique parce qu’elle serait restreinte au domaine cible. Ce type de plate-forme specifique a un domaine, nous l’appelons Domain Specific Modeling Framework (DSMF). Le principal inconvenient d’un DSMF est qu’on ne peut l’utiliser que dans le cadre du domaine pour lequel il a ete concu. Cela implique qu’il faille construire un DSMF par domaine et c’est une solution couteuse. Toutefois, nous pensons que cette approche sur les DSMF peut etre generalisee afin d’adresser un grand nombre de domaines. Cette these a donc consiste a concevoir et a implanter un environnement qui permet de construire des DSMF de facon modulaire.
Necessity Analysis of School Enterprise Cooperative Held Application-oriented Undergraduate under the Guidance of qThe Belt and Roadq Strategy-The Case of Chongqing Vocational Institute of Engineering

As the China first advocated national strategy, "The Belt and Road" strategy has profound strategic significance for China's continuous modernization drive. Conforms to the development of the times, China's communication industry invest lots of manpower to participate in the construction of "The Belt and Road" national communications network. Students received vocational education have some deficiencies in the theoretical basis, Chongqing Vocational Institute of Engineering reform actively, explore and train applied undergraduate graduates with ZTE company together to serve the "The Belt and Road"
Interaction of liposomes with lipopolysaccharide: influence of time, serum and liposome composition

The central nervous system is protected by the blood-brain barrier (BBB). Under inflammatory conditions (such as bacterial meningitis) brain homeostasis is changed as a result of a disrupted BBB. This may be caused in part by lipopolysaccharide (LPS), that has many effects, among which the formation of free radicals. These free radicals cause a disruption of the tight junctions between brain capillary endothelial cells (BCEC). W e have investigated whether liposomes are able to scavenge LPS by measuring the TransEndothelial electrical resistance as a measure of BBB tightness. After 6 hours of pre-incubation of LPS and liposomes (egg phosphatidylcholine (EPC-35) and cholesterol, with 0, 5 or 10 % polyethylene glycol (PEG-PE)), the opening of the BBB in vitro was delayed and less pronounced compared to LPS that was not pre-incubated. However, since the functional read-out of the effect of LPS in the in vitro BBB model was highly variable, it was not possible to quantify this liposomal scavenging effect by a functional assay. Therefore, we have chosen to investigate this physico-chemically. W e found that liposomes, consisting of EPC-35 alone (least stable) or of EPC-35 and cholesterol with 5 or 10 % PEG-PE (more stable) are able to scavenge fluorescently labelled LPS in a time dependent manner. The surface density of PEG or the absence or presence of serum (10 %) did not influence the ability of liposomes to scavenge LPS. W e conclude that liposomes used for the targeting of drugs under inflammatory disease conditions are able to scavenge LPS in a time dependent manner. the apical side of the in vitro BBB model, obtaining a final concentration of 100 ng/ml LPS. The cells in the in vitro BBB model were cultured in the presence of 10 % serum and this medium was not changed before addition of LPS-liposome mixtures. TEER was measured each hour and was corrected for background and surface area of a transwell filter. TEER is expressed as a percentage of control (PBS).
A Multiple-Goal Investment Strategy for Sovereign Wealth Funds: An Application to China ∗

This paper develops a multiple-goal investment strategy for sovereign wealth funds. In our investment strategy, we embed the Black-Litterman (B-L) model into the mean variance mental accounting (MVMA) approach. The B-L method provides a means of modeling return expectations, and the MVMA framework allows the derivation of the optimal asset allocation from a global investment per-spective, in a response to a speciﬁc macroeconomic environment.
Enhanced Luminescence of Mo 3+ Doped β -NaREF 4 Nanowires Prepared via Coprecipitation-Solvothermal Ion-Exchange Method And Their Application in Upconversion Polyurethane Composite

of Mo 3+ Doped β -NaREF 4 Nanowires Prepared via Coprecipitation-Solvothermal Ion-Exchange Method And Their Application in Upconversion Polyurethane Composite. Abstract A variety of 0-20 mol% of molybdenum ions (Mo 3+ ) doped sodium Rare-Earth (RE) fluoride upconversion nanowires (UCNW) were prepared by Coprecipitate-Solvothermal Ion-Exchange (CSIE) method. In this study, the Mo 3+ doped rare-earth hydroxide [ REMo (OH) 3 ] precursors were synthesized by the coprecipitation-solvothermal method. Following, the hexagonal phase of the Mo 3+ doped sodium rare-earth fluoride (β-NaGdF 4 : Yb 3+ /Tm 3+ /Mo 3+ ) nanowires were successfully prepared by ion-exchange reaction, and checked by XRD data analysis. As shown in the EDS results, Mo 3+ was uniformly distributed in the β-NaGdF 4 : Yb 3+ /Tm 3+ /Mo 3+ . The controlled diameter (20-50 nm) and aspect ratio (20-500) values of β-NaGdF 4 : Yb 3+ /Tm 3+ /Mo 3+ nanowires strongly depend on the amount of Mo doping according to TEM images. The upconversion luminescence intensity (UC) of 10 mol% Mo 3+ doped β-NaGdF 4 : Yb 3+ /Tm 3+ /Mo 3+ nanowires was increased by one order of magnitude under the 980 nm near-infrared (NIR) excitation in regard to the undoped sample. One-dimensional (1D) upconversion nanowires (UCNW) with 10 mol% Mo 3+ doping gives the upconversion polyurethane (UCPU) excellent luminescent performance and about 99 % of enhanced tensile strength. about 99% enhancement of tensile strength and 25.34% of increased elongation at break and excellent luminescence performance. This work proposes the use of Mo 3+ doping strategy to enhance the luminescence intensity of lanthanide-doped nanowires. Mo 3+ doped UCNW elaborated via the CSIE method broaden application prospects for 1D rare-earth fluoride.
COVID-19 Fatality and Comorbidity Risk Factors among Diagnosed Patients in Mexico

As of April 18, 2020, 2.16 million patients in the world had been tested positive with Coronavirus (COVID-19) and 146,088 had died, which accounts for a case fatality rate of 6.76%. In Mexico, according to official statistics (April 18), 7,497 cases have been confirmed with 650 deaths, for a case fatality rate of 8.67%. These estimates, however, may not reflect the final fatality risk among COVID-19 confirmed patients, because they are based on cross-sectional counts of diagnosed and deceased patients, and therefore are not adjusted by time of exposure and right-censorship. In this paper we estimate fatality risks based on survival analysis methods, calculated from individual-level data on symptomatic patients confirmed with COVID-19 recently released by the Mexican Ministry of Health. The estimated fatality risk after 35 days of onset of symptoms is 12.38% (95% CI: 11.37-13.47). Fatality risks sharply rise with age, and significantly increase for males (59%) and individuals with comorbidities (38%-168%, depending on the disease). Two reasons may explain the high COVID-19 related fatality risk observed in Mexico, despite its younger age structure: the high selectivity and self-selectivity in testing and the high prevalence of chronic-degenerative diseases.
Experimental Study on Floating LNG Bunkering Terminal for Assessment of Loading and Offloading Performance

In this study, the operability of an FLBT (floating LNG bunkering terminal) was evaluated experimentally. Model tests were conducted in the KRISO (Korea Research Institute of Ships and Ocean Engineering) ocean engineering basin. An FLBT, an LNG carrier, and two LNG bunkering shuttles were moored side by side with mooring ropes and fenders. Two white-noise wave cases, one irregular wave case, and various regular wave cases were generated. The relative local motions between each LNG loading arm and its corresponding manifold in the initial design configuration were calculated from measured 6-DOF motions at the center of gravity of each of the four vessels. Furthermore, the locations of the LNG loading arms and manifolds were varied to minimize the relative local motions. Received 27 January 2018, revised 19 February 2018, accepted 19 February 2018 Corresponding author Dong-Woo Jung: +82-42-866-3979, dwjung@kriso.re. kr ORCID: https://orcid.org/0000-0002-9154-8500 It is noted that this paper is revised edition based on proceedings of KAOST 2017 in ‘Assessment of Operability with Respect to the Location of Loading Arm of Floating LNG Bunkering Terminal’ c 2018, The Korean Society of Ocean Engineers This is an open access article distributed under the terms of the creative commons attribution non-commercial license (http://creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Board 39: Designing Intelligent Review Forms for Peer Assessment: A Data-driven Approach

This evidence-based practice paper employs a data-driven, explainable, and scalable approach to the development and application of an online peer review system in computer science and engineering courses. Crowd-sourced grading through peer review is an effective evaluation methodology that 1) allows the use of meaningful assignments in large or online classes (e.g. assignments other than true/false, multiple choice, or short answer), 2) fosters learning and critical thinking in a student evaluating another’s work, and 3) provides a defendable and non-biased score through the wisdom of the crowd. Although peer review is widely utilized, to the authors’ best knowledge, the form and associated grading process have never been subjected to data-driven analysis and design. We present a novel, iterative approach by first gathering the most appropriate review form questions through intelligent data mining of past student reviews. During this process, key words and ideas are gathered for positive and negative sentiment dictionaries, a flag word dictionary, and a negate word dictionary. Next, we revise our grading algorithm using simulations and perturbation to determine robustness (measured by standard deviation within a section). Using the dictionaries, we leverage sentiment gathered from review comments as a quality assurance mechanism to generate a crowd comment “grade”. This grade supplements the weighted average of other review form sections. The result of this semi-automated, innovative process is a peer assessment package (intelligently-designed review form and robust grading algorithm leveraging crowd sentiment) based on actual student work that can be used by an educator to confidently assign and grade meaningful open-ended assignments in any size class.
Real time 3D US-tagging combined with 3D phase-based motion estimation

— By contrast with 2D imaging, quantitative analysis of 3D motion from ultrasound images can provide improved information in several applications, such as arterial mechanical assessment, heart motion and blood flow. Unfortunately, it remains difficult to obtain a high definition of the motion estimate in the lateral and elevation directions (i.e. perpendicular to the beam axis). To increase the definition in both these directions, this paper presents a 3D extension of a the transverse oscillations method that enables one to obtain ultrasound fields featuring oscillations along the 3 spatial dimensions, using a single apodization function. The 3D motion method is estimated using the phases of the images. Simulation results show that a 3D trajectory can be followed with a relative mean error smaller than 8%.
DIGITAL HISTOPATHOLOGY IMAGE ENHANCEMENT USING EDGE DETECTION

- This project aims at enhancing digital histopathology images to provide pathologists valuable assistance on examining the tissue slides. Inconsistencies in the preparation of histopathology slides make it difficult to perform quantitative analysis on their results. In this paper edge detection is used for overcoming many of the known inconsistencies in the staining process . Segmentation is done to simplify an image into something that is more easier to analyse and process. Based on pixel values images are segmented. The segmented images are then RGB color classified by the nearest neighbor rule. After these process, the processed image is then edge detected using Canny Edge Detector, Sobel Edge Detector and LoG Edge Detector. The output image from all the edge detection technique is then analysed and compared as to see which gives the best result. Various Histopathology slides have been taken and an analysis is made on how the disease is found out using the edge detected image.
Quantitative fluorescence correlation spectroscopy in three-dimensional systems under stimulated emission depletion conditions: supplementary material

This document provides supplementary information to "Quantitative fluorescence correlation spectroscopy in three-dimensional systems under stimulated emission depletion conditions," https: It provides explicit formulation of the autocorrelation function used for data analysis, details on application of time-correlated single photon counting, absorption spectra of Atto 647N and its conjugates, STED-FCS experimental details, expanded discussion and images concerning depletion, illumination, and detection profiles upon STED, expanded justification of application of the 2D diffusion model to STED-FCS data, reference bead scanning data, reference confocal FCS data, as well as information on sizes and diffusion coefficients of probes used in the study. © 2017 Optical
SGR-Tree: a Skip Graph based R-Tree for multi-dimensional data indexing in Peer-to-Peer systems

—In this paper, we propose SGR-Tree, an index structure for multi-dimensional data in Peer-to-Peer (P2P) systems. SGR-Tree is an R-Tree index structure constructed on top of a Skip Graph, a P2P overlay network. In SGR-Tree, each Skip Graph node corresponds to an R-Tree leaf node. However, different from R-Tree, SGR-Tree does not employ internal nodes for routing purpose. Instead, at each Skip Graph node, we virtually partition the whole system into non-overlapping regions, each of which is connected to the node via a neighbor node. For each region, the node keeps the minimum hyper-rectangle covering all hyper-rectangles, which are in charged by nodes falling in the region. In this way, when a node issues or receives a query, it simply sends or forwards the query to neighbor nodes whose minimum covering hyper-rectangle intersects with the search region. The main advantage of SGR-Tree is that it can avoid not only the bottleneck problem at the root node but also the high cost of maintaining internal R-Tree nodes, especially when the index structure is often changed. Nevertheless, we prove that SGR-Tree is still able to process multi-dimensional queries efﬁciently within a boundary of logN steps, where N is the number of nodes in the system. We have done experiments to validate the practicability and efﬁciency of SGR-Tree.