Miracle-dz/UniFAR-FTUs huggingface dataset:
Identifying Chinese Leading Venture Capital Firms Based on Graph Convolutional Neural Networks

: It is a meaningful challenge to identify leading venture capital firms (VCs) in the analysis of the Chinese investment market. Identifying leading VCs is equal to determine influential nodes in the field of complex network analysis. Many studies have applied centrality measures to determine influence nodes. However, only a few studies have explored more efficient and flexible ways to accomplish this task. In this work, we propose a new approach which using graph convolutional neural networks to identify influential nodes in the network, so as to determine leading VCs. We build an undirected graph based on co-investment of VCs, then learn a VCs Graph Convolutional Neural Network (vcGCNN) for nodes classification. Our vcGCNN is labeled with ‘1’ and ‘0’ for ‘is leading VCs’ and ‘is not leading VCs’. The experiment results on VCs dataset demonstrate that vcGCNN outperforms multiple centrality measures and some typical spectral-based GNN methods for leading venture capital firms identification.
Investigation of a Slat in Several Different Positions on an NACA 64A010 Airfoil for a Wide Range of Subsonic Mach Numbers

Report presenting the two-dimensional aerodynamic characteristics of an NACA 64A010 airfoil with a slat at a range of Mach numbers. Two types of slat positions were investigated, one with the slat leading edge extended forward along the airfoil chord line and one with the slat extended forward and displaced below the chord line. Results regarding lift, drag, pitching moment, and pressure distribution are provided.
A fibered power theorem for pairs of log general type

Let $f: (X,D) \to B$ be a stably family with log canonical general fiber. We prove that, after a birational modification of the base $\tilde{B} \to B$, there is a morphism from a high fibered power of the family to a pair of log general type. If in addition the general fiber is openly canonical, then there is a morphism from a high fibered power of the original family to a pair openly of log general type.
Study report of the booster transition jump system

There are more than 15 years since the transition-jump system (TJS) was installed. Because of the quad steering, which is caused by the beam not being well centered through all the {gamma}{sub T} quads, the TJS has never been used in the operation. Based upon the recent calculation, the short 12 {gamma}{sub T} quad had the worst offset in the vertical direction, and it was lowered 4 mm. Afterwards, the orbit error caused by the {gamma}{sub T} quad steering has been largely removed, and this encourages our efforts of commissioning the TJS to reach its design goal.
The Discrete Correlation Function: a New Method for Analyzing Unevenly Sampled Variability Data

A method of measuring correlation functions without interpolating in the temporal domain, the discrete correlation function, is introduced. It provides an assumption-free representation of the correlation measured in the data, and allows meaningful error estimates. This method does not produce spurious correlations at zero lag due to correlated errors. It is shown that physical interpretation of active galactic nuclei cross-correlation functions requires knowledge of the input function's fluctuation power spectrum, involves model-dependence in the form of symmetry assumptions, and must take into account intrinsic scale bias. This technique was used to find a correlation in published IUE data for NGC 4151, which indicates that the broad C IV feature emanates from a shell 15 to 75 light-days in radius, assuming spherical symmetry.
E XTRACTION OF MYOCARDIAL CONTRACTILITY PATTERNS FROM SHORT - AXIS MR IMAGES USING

Regional wall motion analysis has been used in clinical routine to assess myocardial disease, particularly in ischaemia. This disease can be distinguished from normals by looking at the local abnormality of cardiac motion. In this chapter, the ﬁrst result of a feature extraction experiment using Independent Component Analysis (ICA) is presented, where abnormal patterns of myocardial contraction from patients are recognizable and distinguishable from normal subjects. There are things we know that we know. There are known unknowns. That is to say there are things that we now know we don’t know. But there are also unknown unknowns. There are things we don’t know we don’t know.
Functions of multiple instances for sub-pixel target characterization in hyperspectral imagery

In this paper, the Multi-target Extended Function of Multiple Instances (Multi-target eFUMI) method is developed and described. The method is capable of learning multiple target spectral signatures from weakly- and inaccurately-labeled hyperspectral imagery. Multi-target eFUMI is a generalization of the Function of Multiple Instances approach (FUMI). The FUMI approach differs significantly from standard Multiple Instance Learning (MIL) approach in that it assumes each data is a function of target and non-target “concepts. ” In this paper, data points which are convex combinations of multiple target and several non-target “concepts” are considered. Moreover, it allows both “proportion-level” and “bag-level” uncertainties in training data. Training data needs only binary labels indicating whether some spatial area contains or does not contain some proportion of target; the specific target proportions for the training data are not needed. Multi-target eFUMI learns the target and non-target concepts, the number of non-target concepts, and the proportions of all the concepts for each data point. After learning the target concepts using the binary “bag-level” labeled training data, target detection can be performed on test data. Results for sub-pixel target detection on simulated and real airborne hyperspectral data are shown.
DEPLOYMENT AND APPLICATION OF MULTI-MODAL SENSORS IN CLINICAL TRIALS

Hope this message finds you well and we are all very glad to see that COVID-19 is under better control this Spring. It is now easier for us to reconnect with colleagues, family, and friends in person. One of the lessons learned from this pandemic is that digital tools and technologies present significant opportunities for us. Our first issue of 2022 will focus on the theme of “digital health” with featured contributing articles from industry, government, and academia .
Edinburgh Research Explorer Safety and Efficacy of Rivaroxaban in Patients With Cardiac Implantable Electronic Devices

Background- — Although implantation of cardiac implantable electronic devices (CIEDs) in patients receiving warfarin is well studied, limited data are available on the use of oral factor Xa inhibitors in this setting. Methods and Results- — Using data from Rivaroxaban Once Daily Oral Direct Factor Xa Inhibition Compared with Vitamin K Antagonism for Prevention of Stroke and Embolism Trial in Atrial Fibrillation (ROCKET AF) (n = 14 264), we compared baseline characteristics and clinical outcomes in patients with atrial ﬁ brillation randomized to rivaroxaban versus warfarin who did and did not undergo CIED implantation or revision. In this post-hoc, postrandomization, on-treatment analysis, only the ﬁ rst intervention per patient was analyzed. During a median follow-up of 2.2 years, 453 patients (242 rivaroxaban group; 211 warfarin group) underwent de novo CIED implantation (64.2%) or revision procedures (35.8%). Patients who received CIEDs were older, more likely to be male, and more likely to have past myocardial infarction, but had similar stroke risk compared to patients who did not receive CIEDs. Most patients who received a device had study drug interrupted for the procedure and did not receive bridging anticoagulation. During the 30-day postprocedural period, 11 patients (4.55%) in the rivaroxaban group experienced bleeding complications compared with 15 (7.13%) in the warfarin group. Thromboembolic complications occurred in 3 patients (1.26%) in the rivaroxaban group and 1 (0.48%) in the warfarin group. Event rates were too low for formal hypothesis testing. Conclusions- — Bleeding and thromboembolic events were low in both rivaroxaban- and warfarin-treated patients. Periprocedural use of oral factor Xa inhibitors in CIED implantation requires further study in prospective, randomized trials. not 28 patients study drug are omitted from the analysis, because both postimplant device status and safety events are unknown, and 4 underwent a device-related procedure (replacement) after the end of study drug are omitted because (1) is they are a complete accounting of device-related procedures during period and (2) their safety event status is unknown. ef omitted ef included 30 pre- and summaries only if actual or values for at least two thirds question. groups, omitted if their procedure occurred too soon after randomization to provide a suf ﬁ cient number of days of INR values. postprocedure groups, omitted if they stopped study drug before the end of the period in question. cardiac implantable international normalized
The place of the Local Group in the cosmic web

Abstract We use the Bolshoi Simulation to find the most probable location of the Local Group (LG) in the cosmic web. Our LG simulacra are pairs of halos with isolation and kinematic properties consistent with observations. The cosmic web is defined using a tidal tensor approach. We find that the LG's preferred location is regions with a dark matter overdensity close to the cosmic average. This makes filaments and sheets the preferred environment. We also find a strong alignment between the LG and the cosmic web. The orbital angular momentum is preferentially perpendicular to the smallest tidal eigenvector, while the vector connecting the two halos is strongly aligned along the the smallest tidal eigenvector and perpendicular to the largest tidal eigenvector; the pair lies and moves along filaments and sheets. We do not find any evidence for an alignment between the spin of each halo in the pair and the cosmic web.
Recovering the gravitational potential in a rotating frame: Deep Potential applied to a simulated barred galaxy

Stellar kinematics provides a window into the gravitational field, and therefore into the distribution of all mass, including dark matter. Deep Potential is a method for determining the gravitational potential from a snapshot of stellar positions in phase space, using mathematical tools borrowed from deep learning to model the distribution function and solve the Collisionless Boltzmann Equation. In this work, we extend the Deep Potential method to rotating systems, and then demonstrate that it can accurately recover the gravitational potential, density distribution and pattern speed of a simulated barred disc galaxy, using only a frozen snapshot of the stellar velocities. We demonstrate that we are able to recover the bar pattern speed to within 15% in our simulated galaxy using stars in a 4kpc sub-volume centered on a Solar-like position, and to within 20% in a 2kpc sub-volume. In addition, by subtracting the mock “observed” stellar density from the recovered total density, we are able to infer the radial profile of the dark matter density in our simulated galaxy. This extension of Deep Potential is an important step in allowing its application to the Milky Way, which has rotating features, such as a central bar and spiral arms, and may moreover provide a new method of determining the pattern speed of the Milky Way bar.
Newly Synthesized Pyrazolinone Chalcones as Anticancer Agents via Inhibiting the PI3K/Akt/ERK1/2 Signaling Pathway

A series of novel pyrazolinone chalcones 3–9 have been synthesized through the condensation of azo pyrazolinone derivatives with various aromatic aldehydes. Spectroscopic techniques and elemental analysis have both corroborated this. Furthermore, all compounds were screened in silico for their ability to inhibit cancer proliferation and metastasis by targeting the PI3K/Akt signaling pathway. This inhibitory pathway might be an efficient approach for the death of cancer cells, angiogenesis, and metastasis prevention. Our results indicated that only compound 6b was the top-ranked. It demonstrated the highest binding energies of −11.1 and −10.7 kcal/mol against the target proteins PI3K and Akt, respectively; thus, it was chosen for in vitro studies. Compound 6b exhibited the most effective cytotoxic impact against the Caco cell line with IC50 of 23.34 ± 0.14 μM. Furthermore, it showed significant inhibition of PI3K/Akt proteins and oxidative stress, leading to elevated Bax and p53 expression, reduced Bcl–2 expression, and triggered cell cycle arrest at the sub-G0/G1 phase. Additionally, it showed significant downregulation of the Raf-1 gene, leading to ERK1/2 protein inhibition. These findings demonstrate that compound 6b obeyed Lipinski’s rule of five and might be used as a favored scaffold for cancer treatment by inhibiting proliferation and metastasis via inhibition of the PI3K/Akt and Raf-1/ERK1/2 signaling pathways.
The role of guggulsterone on the NF-κB pathway in inflammatory bowel disease: preclinical evidence

Guggulsterone, a phytosterol in the herb Commiphora wightii (Arn.) Bhandari, has been used in the treatment of diseases such as hyperlipidemia, arthritis and atherosclerosis. It has attracted significant research interest because of its pharmacological properties, especially its anti-inflammatory nature. It can be used for the treatment of inflammatory bowel disease (IBD), a disease characterized by chronic inflammation and damage in the gastrointestinal tract. In various preclinical studies, it inhibited NF-κB, an important pathway in the pathophysiology of IBD. This review summarizes the preclinical studies on this topic for providing more insights to the mechanism by which guggulsterone exerts its effect.
Energy Transition Pathways for Deep Decarbonization of the Greater Montreal Region: An Energy Optimization Framework

More than half of the world’s population live in cities, and by 2050, it is expected that this proportion will reach almost 68%. These densely populated cities consume more than 75% of the world’s primary energy and are responsible for the emission of around 70% of anthropogenic carbon. Providing sustainable energy for the growing demand in cities requires multifaceted planning approach. In this study, we modeled the energy system of the Greater Montreal region to evaluate the impact of different environmental mitigation policies on the energy system of this region over a long-term period (2020–2050). In doing so, we have used the open-source optimization-based model called the Energy–Technology–Environment Model (ETEM). The ETEM is a long-term bottom–up energy model that provides insight into the best options for cities to procure energy, and satisfies useful demands while reducing carbon dioxide (CO2) emissions. Results show that, under a deep decarbonization scenario, the transportation, commercial, and residential sectors will contribute to emission reduction by 6.9, 1.6, and 1 million ton CO2-eq in 2050, respectively, compared with their 2020 levels. This is mainly achieved by (i) replacing fossil fuel cars with electric-based vehicles in private and public transportation sectors; (ii) replacing fossil fuel furnaces with electric heat pumps to satisfy heating demand in buildings; and (iii) improving the efficiency of buildings by isolating walls and roofs.
Neuroinflammation in Low-Level PM2.5-Exposed Rats Illustrated by PET via an Improved Automated Produced [18F]FEPPA: A Feasibility Study

Background [18F]FEPPA is a potent TSPO imaging agent that has been found to be a potential tracer for imaging neuroinflammation. In order to fulfill the demand of this tracer for preclinical and clinical studies, we have developed a one-pot automated synthesis with simplified HPLC purification of this tracer, which was then used for PET imaging of neuroinflammation in fine particulate matter- (PM2.5-) exposed rats. Results Using this automated synthesis method, the RCY of the [18F]FEPPA was 38 ± 4% (n = 17, EOB) in a synthesis time of 83 ± 8 min from EOB. The radiochemical purity and molar activities were greater than 99% and 209 ± 138 GBq/μmol (EOS, n = 15), respectively. The quality of the [18F]FEPPA synthesized by this method met the U.S. Pharmacopoeia (USP) criteria. The stability test showed that the [18F]FEPPA was stable at 21 ± 2°C for up to 4 hr after the end of synthesis (EOS). Moreover, microPET imaging showed that increased tracer activity of [18F]FEPPA in the brain of PM2.5-exposed rats (n = 6) were higher than that of normal controls (n = 6) and regional-specific. Conclusions Using the improved semipreparative HPLC purification, [18F]FEPPA has been produced in high quantity, high quality, and high reproducibility and, for the first time, used for PET imaging the effects of PM2.5 in the rat brain. It is ready to be used for imaging inflammation in various clinical or preclinical studies, especially for nearby PET centers without cyclotrons.
Practical Possibilities of Utilization of Tangential Longitudinal Vibrations for Controlling the Friction Force and Reduction of Drive Force in Sliding Motion

This work presents the results of simulation analyses and experimental investigation of the influence of tangential-longitudinal vibrations on the drive force and friction force in sliding motion. The numerical analyses were carried out with the use of classical Coulomb model of friction and with the use of Dahl and Dupont dynamic models. It has been demonstrated that the use in numerical analyses of Dahl friction model, facilitates precise projection of changes in these forces taking place in real systems under the influence of imposed tangential-longitudinal vibrations.
A systematic review of statistical methodology used to evaluate progression of chronic kidney disease using electronic healthcare records

Background Electronic healthcare records (EHRs) are a useful resource to study chronic kidney disease (CKD) progression prior to starting dialysis, but pose methodological challenges as kidney function tests are not done on everybody, nor are tests evenly spaced. We sought to review previous research of CKD progression using renal function tests in EHRs, investigating methodology used and investigators’ recognition of data quality issues. Methods and findings We searched for studies investigating CKD progression using EHRs in 4 databases (Medline, Embase, Global Health and Web of Science) available as of August 2021. Of 80 articles eligible for review, 59 (74%) were published in the last 5.5 years, mostly using EHRs from the UK, USA and East Asian countries. 33 articles (41%) studied rates of change in eGFR, 23 (29%) studied changes in eGFR from baseline and 15 (19%) studied progression to binary eGFR thresholds. Sample completeness data was available in 44 studies (55%) with analysis populations including less than 75% of the target population in 26 studies (33%). Losses to follow-up went unreported in 62 studies (78%) and 11 studies (14%) defined their cohort based on complete data during follow up. Methods capable of handling data quality issues and other methodological challenges were used in a minority of studies. Conclusions Studies based on renal function tests in EHRs may have overstated reliability of findings in the presence of informative missingness. Future renal research requires more explicit statements of data completeness and consideration of i) selection bias and representativeness of sample to the intended target population, ii) ascertainment bias where follow-up depends on risk, and iii) the impact of competing mortality. We recommend that renal progression studies should use statistical methods that take into account variability in renal function, informative censoring and population heterogeneity as appropriate to the study question.
Repression by the H-NS/YmoA histone-like protein complex enables IscR dependent regulation of the Yersinia T3SS

The type III secretion system (T3SS) is an appendage used by many bacterial pathogens, such as pathogenic Yersinia, to subvert host defenses. However, because the T3SS is energetically costly and immunogenic, it must be tightly regulated in response to environmental cues to enable survival in the host. Here we show that expression of the Yersinia Ysc T3SS master regulator, LcrF, is orchestrated by the opposing activities of the repressive H-NS/YmoA histone-like protein complex and induction by the iron and oxygen-regulated IscR transcription factor. While deletion of iscR or ymoA has been shown to decrease and increase LcrF expression and type III secretion, respectively, the role of H-NS in this system has not been definitively established because hns is an essential gene in Yersinia. Using CRISPRi knockdown of hns, we show that hns depletion causes derepression of lcrF. Furthermore, we find that while YmoA is dispensable for H-NS binding to the lcrF promoter, YmoA binding to H-NS is important for H-NS repressive activity. We bioinformatically identified three H-NS binding regions within the lcrF promoter and demonstrate binding of H-NS to these sites in vivo using chromatin immunoprecipitation. Using promoter truncation and binding site mutation analysis, we show that two of these H-NS binding regions are important for H-NS/YmoA-mediated repression of the lcrF promoter. Surprisingly, we find that IscR is dispensable for lcrF transcription in the absence of H-NS/YmoA. Indeed, IscR-dependent regulation of LcrF and type III secretion in response to changes in oxygen, such as those Yersinia is predicted to experience during host infection, only occurs in the presence of an H-NS/YmoA complex. These data suggest that, in the presence of host tissue cues that drive sufficient IscR expression, IscR can act as a roadblock to H-NS/YmoA-dependent repression of RNA polymerase at the lcrF promoter to turn on T3SS expression.
Compact Neutrino Source

Some evidence for sterile neutrinos has been found in short baseline observations where the measured neutrino flux did not agree with expectations. Systematic uncertainties from the expected values has limited the sensitivity of this approach. Observation at multiple distances can remove the normalization uncertainty by isolating the distance dependence. This doesn't work for high $\Delta m^{2}$ sterile neutrinos since they are fully mixed at most observation distances and only shift the normalization of the flux. A compact intense source of neutrinos based on a subcritical fission reactor would permit observation of oscillations on submeter distance scales and clearly distinguish between a systematic normalization and the $L/E$ dependence expected from oscillations.
Moduli of vector bundles

Computing Schubert's calculus with Severi residues - an introduction to quantum cohomology Neron-Severi group for Torus quasi-bundles over curves some Donaldson invariants of CP2 Kahler quotient and equivariant cohomology magnetic monopoles with platonic symmetry semi-universal family of reflexive modules over a rational double point of type A a remark on Donaldson's polynomial invariants for a surface of general type with Pg=2 and K2=1 module des fibres semi-stables et fonctions theta systemes coherents et polynomes de Donaldson Picard groups of the moduli spaces of vector bundles over algebraic surfaces construction of moduli spaces and stable sheaves via Simpson's idea curves and K3 surface of genus eleven hyper-Kahler structures on moduli spaces of parabolic Higgs bundles on Riemann surfaces notes on symplectic 4-manifolds with b2=1 on the local geometry of moduli spaces of locally free sheaves small fields in constructive algebraic geometry homotopy over the complex numbers and generalized de Rham cohomology remarks on zero-cycles of self-products of varieties moduli of parabolic Higgs sheaves numbers of F-alpha-rational points of the moduli of stable sheaves on elliptic surfaces.