Miracle-dz/UniFAR-FTUs huggingface dataset:
User requirements Massive Point Clouds for eSciences (WP1)

This report is a milestone in work package 1 (WP1) of the project Massive point clouds for eSciences. In WP1 the basic functionalities needed for a new Point Cloud Spatial Database Management System are identified. This is achieved by (1) literature research, (2) discussions with the project members, and (3) customer surveys. In this work package three organizations TU Delft, Rijkswaterstaat and Fugro have worked together to assemble the user requirements for a new Point Cloud Spatial Database Management System. The following persons were involved in this work package. A.E. Nonhebel (Ardi) TU Delft, TU Delft Library/3TU.Datacentrum (work package manager) Ir. I. Alkemade (Ingrid) Rijkswaterstaat, Centrale Informatievoorziening Ir. M.P. Kodde (Martin) Fugro GeoServices B.V. Drs. T.P.M. Tijssen (Theo) TU Delft, Onderzoeksinstituut OTB, department of GIS Technology Prof.dr.ir. P.J.M. van Oosterom (Peter) TU Delft, Onderzoeksinstituut OTB, department of GIS Technology Drs. P.M. Suijker (Paul) TU Delft, TU Delft Library, section Research support During the investigation the Up-to-date Height Model of the Netherlands1 (AHN) datasets have been used as an example of the type of data that will be included in the new point cloud spatial DBMS. The AHN data consists of raster data and point cloud data. Both data types have been considered.
The Middle Pleistocene transition as a generic 1 bifurcation on a slow manifold 2 MPT as a bifurcation on a slow manifold 3

The Quaternary Period has been characterised by a cyclical series of 7 glaciations, which are attributed to the change in the insolation (incoming solar 8 radiation) from changes in the Earth’s orbit around the Sun. The spectral power 9 in the climate record is very different from that of the orbital forcing: Prior to 1
Modeling and simulation as a service architecture for deploying resources in the Cloud

In recent years, Cloud Computing has become popular to facilitate the use of Modeling and Simulation (M&S) resources. Nevertheless, there are still various issues to solve, including the structure constrain of chosen web service frameworks, the sharing of varied resources in the Cloud, and the difficulties in reproducing experiments. We show a new architecture based on Cloud Computing and new modeling methods to deal with these issues. This layered architecture, called Cloud Architecture for Modeling and Simulation as a Service (CAMSaaS), simplifies the deployment of M&S resources as services in the Cloud. CAMSaaS supports hierarchical resource services, experimental frameworks, scalable infrastructure and makes everything as a service. We deploy varied M&S resources as services in the Cloud, and build a Modeling and Simulation as a Service (MSaaS) middleware called CloudRISE to manage a variety of M&S resources. We also use the experimental framework concept to simplify the management of experiment environments. We present a case study for crowd evacuation application using the architecture.
Adverse Reactions in Myelography: Correlation between Animal Research and Clinical Practice

An attempt was made to assess the usefulness of using an animal model to predict the neural tolerability in man of iodinated contrast media (CM) in general, and of the new nonionic dimer iodixanol in particular. For this purpose, the results from 6 animal experiments evaluating excitative and depressive effects of subarachnoidally injected CM in nonanesthetized rabbits were compared with the results from 22 randomized double-blind clinical trials dealing with post-myelographic adverse reactions. Comparisons were made as regards the nonionic monomers metrizamide, iohexol, and iopamidol, and the dimer iotrolan. The results seem to justify the conclusion that the convulsive effects of CM can be reliably predicted from animal experiments. The animal model cannot be used to predict specific types of nonconvulsive adverse reactions in man, but reflects well the differences in frequencies of minor reactions following clinical myelography with different nonionic CM. In general, the neural tolerability of iodixanol may be expected to be better than that of the nonionic monomers and approximately equal to that of iotrolan.
trialfatigue syndrome : 2-year follow-up of randomised controlled Patient education to encourage graded exercise in chronic permissions

permissions Reprints/ permissions@rcpsych.ac. uk write to To obtain reprints or permission to reproduce material from this paper, please to this article at You can respond http://bjp.rcpsych. org/cgi/eletter-submit/184/2/142 service Email alerting click here the top right corner of the article or Receive free email alerts when new articles cite this article sign up in the box at from Downloaded The Royal College of Psychiatrists Published by on December 16, 2010 bjp.rcpsych. org
Decentralized Exploration in Multi-Armed Bandits

We consider the decentralized exploration problem: a set of players collaborate to identify the best arm by asynchronously interacting with the same stochastic environment. The objective is to insure privacy in the best arm identification problem between asynchronous, collaborative, and thrifty players. In the context of a digital service, we advocate that this decentralized approach allows a good balance between the interests of users and those of service providers: the providers optimize their services, while protecting the privacy of the users and saving resources. We define the privacy level as the amount of information an adversary could infer by intercepting the messages concerning a single user. We provide a generic algorithm Decentralized Elimination, which uses any best arm identification algorithm as a subroutine. We prove that this algorithm insures privacy, with a low communication cost, and that in comparison to the lower bound of the best arm identification problem, its sample complexity suffers from a penalty depending on the inverse of the probability of the most frequent players. Then, thanks to the genericity of the approach, we extend the proposed algorithm to the non-stationary bandits. Finally, experiments illustrate and complete the analysis.
Butyrate-Induced In Vitro Colonocyte Differentiation Network Model Identifies ITGB1, SYK, CDKN2A, CHAF1A, and LRP1 as the Prognostic Markers for Colorectal Cancer Recurrence

Abstract Numerous mechanisms are believed to contribute to the role of dietary fiber-derived butyrate in the protection against the development of colorectal cancers (CRCs). To identify the most crucial butyrate-regulated genes, we exploited whole genome microarray of HT-29 cells differentiated in vitro by butyrate treatment. Butyrate differentiates HT-29 cells by relaxing the perturbation, caused by mutations of Adenomatous polyposis coli (APC) and TP53 genes, the most frequent mutations observed in CRC. We constructed protein–protein interaction network (PPIN) with the differentially expressed genes after butyrate treatment and extracted the hub genes from the PPIN, which also participated in the APC-TP53 network. The idea behind this approach was that the expression of these hub genes also regulated cell differentiation, and subsequently CRC prognosis by evading the APC-TP53 mutational effect. We used mRNA expression profile of these critical hub genes from seven large CRC cohorts. Logistic Regression showed strong evidence for association of these common hubs with CRC recurrence. In this study, we exploited PPIN to reduce the dimension of microarray biologically and identified five prognostic markers for the CRC recurrence, which were validated across different datasets. Moreover, these five biomarkers we identified increase the predictive value of the TNM staging for CRC recurrence.
A Survey of Collection Methods and Cross-Data Set Comparison of Android Unlock Patterns

Android's graphical password unlock remains one of the most widely used schemes for phone unlock authentication, and it is has been studied extensively in the last decade since its launch. We have learned that users' choice of patterns mimics the poor password choices in other systems, such as PIN or text-based passwords. A wide variety of analysis and data collections methods was used to reach these conclusions, but what is missing from the literature is a systemized comparison of the related work in this space that compares both the methodology and the results. In this paper, we take a detailed accounting of the different methods applied to data collection and analysis for Android unlock patterns. We do so in two dimensions. First we systemize prior work into a detailed taxonomy of collection methods, and in the second dimension, we perform a detailed analysis of 9 different data sets collected using different methods. While this study focuses singularly on the collection methods and comparisons of the Android pattern unlock scheme, we believe that many of the findings generalize to other graphical password schemes, unlock authentication technology, and other knowledge-based authentication schemes.
The power of locality: Exploring the limits of randomness in distributed computing

Abstract Many modern systems are built on top of large-scale networks like the Internet. This article provides an overview of a dissertation [29] that addresses the complexity of classic graph problems like the vertex coloring problem in such networks. It has been known for a long time that randomization helps significantly in solving many of these problems, whereas the best known deterministic algorithms have been exponentially slower. In the first part of the dissertation we use a complexity theoretic approach to show that several problems are complete in the following sense: An efficient deterministic algorithm for any complete problem would imply an efficient algorithm for all problems that can be solved efficiently with a randomized algorithm. Among the complete problems is a rudimentary looking graph coloring problem that can be solved by a randomized algorithm without any communication. In further parts of the dissertation we develop efficient distributed algorithms for several problems where the most important problems are distributed versions of integer linear programs, the vertex coloring problem and the edge coloring problem. We also prove a lower bound on the runtime of any deterministic algorithm that solves the vertex coloring problem in a weak variant of the standard model of the area.
A navigation function for a simple rigid body

A provably correct navigation algorithm for a simple rigid body in a planar environment cluttered with disc obstacles is presented. The algorithm specifies a collision-free path by subjecting the robot to the influence of a navigation function, a special artificial potential function whose most crucial property is the absence of undesired local minima. Unlike other unknown algorithms, it specifies a feedback control law that is guaranteed to move the physical robot to the goal without it hitting obstacles, subject to the bounded-torque capability of the robot's actuators. Previous work has shown that navigation functions are guaranteed to exist. Construction of navigation functions for a realistic situation is proposed. The implementation of the algorithm reveals a numerical difficulty, which is effectively corrected by making a slight heuristic modification to the navigation function. This is discussed and illustrated. <<ETX>>
An Electronically Mode Reconfigurable Orbital Angular Momentum Array Antenna

In this paper, an array antenna for generating multi-mode orbital angular momentum (OAM) vortex waves and having electrically controlled mode reconfigurable function is proposed. The proposed antenna is based on a reconfigurable feed network (RFN) consisting of multiple PIN diodes as reconfigurable switches, a direct current (dc) control board and a <inline-formula> <tex-math notation="LaTeX">$2\times4$ </tex-math></inline-formula> radial uniform circular array. By controlling the coding sequence of the corresponding PIN diode dc bias voltage on the RFN using a programmable microcontroller, the OAM modes generated by the proposed antenna can be dynamically reconfigured between l = 0, ±1, and ±2. Moreover, the OAM beams can be generated in a wide frequency band of 5.5–6.1 GHz and 5.65–6.1GHz for l = ± 1, ±2 modes and l = 0 mode, respectively. The prototype of the proposed antenna is simulated and fabricated to validate the proposed design. Both far-field and near-field experiments were performed to verify the feasibility of the proposed design. The results of the numerical simulation and measurement have good agreement with each other.
Lipid transporter Spns2 promotes microglia pro‐inflammatory activation in response to amyloid‐beta peptide

Accumulating evidence indicates that neuroinflammation contributes to the pathogenesis and exacerbation of neurodegenerative disorders, such as Alzheimer's disease (AD). Sphingosine‐1‐phosphate (S1P) is a pleiotropic bioactive lipid that regulates many pathophysiological processes including inflammation. We present evidence here that the spinster homolog 2 (Spns2), a S1P transporter, promotes microglia pro‐inflammatory activation in vitro and in vivo. Spns2 knockout (Spns2KO) in primary cultured microglia resulted in significantly reduced levels of pro‐inflammatory cytokines induced by lipopolysaccharide (LPS) and amyloid‐beta peptide 1–42 oligomers (Aβ42) when compared with littermate controls. Fingolimod (FTY720), a S1P receptor 1 (S1PR1) functional antagonist and FDA approved drug for relapsing–remitting multiple sclerosis, partially blunted Aβ42‐induced pro‐inflammatory cytokine generation, suggesting that Spns2 promotes microglia pro‐inflammatory activation through S1P‐signaling. Spns2KO significantly reduced Aβ42‐induced nuclear factor kappa B (NFκB) activity. S1P increased, while FTY720 dampened, Aβ42‐induced NFκB activity, suggesting that Spns2 activates microglia inflammation through, at least partially, NFκB pathway. Spns2KO mouse brains showed significantly reduced Aβ42‐induced microglia activation/accumulation and reduced levels of pro‐inflammatory cytokines when compared with age‐matched controls. More interestingly, Spns2KO ameliorated Aβ42‐induced working memory deficit detected by Y‐Maze. In summary, these results suggest that Spns2 promotes pro‐inflammatory polarization of microglia and may play a crucial role in AD pathogenesis.
Design and Modelling of Spatial Compliant Parallel Mechanisms for Large Range of Translation

A new distributed-compliance module, which can be used as a building block, is proposed at first. A novel 3-DOF compliant parallel mechanism (CPM) and its improved configuration for large range of translation are then proposed using the new building blocks. The analytical models of the spatial modules and 3-DOF translational CPMs are then presented and analyzed. The proposed improved 3-DOF translational CPM has the following merits: (1) It is approximately decoupled and has a workspace of 0.1Lmm×0.1Lmm×0.1Lmm (L: the beam length in the module) with constrained parasitic error, maximal actuation isolation and minimal lost motion. (2) Its configuration is simple and compact, and it is actuated by three linear actuators directly. (3) The normalization strategy not only simplifies the representation and derivation of the equations, but also makes the compliance matrix reflect the displacement associated with each degree of freedom in a straightforward manner. The proposed analytical model for the improved 3-DOF CPM has been verified using FEA.Copyright © 2010 by ASME
A Fast Randomized Geometric Algorithm for Computing Riemann-Roch Spaces

We propose a probabilistic variant of Brill-Noether's algorithm for computing a basis of the Riemann-Roch space $L(D)$ associated to a divisor $D$ on a projective nodal plane curve $\mathcal C$ over a sufficiently large perfect field $k$. Our main result shows that this algorithm requires at most $O(\max(\deg(\mathcal C)^{2\omega}, \deg(D_+)^\omega))$ arithmetic operations in $k$, where $\omega$ is a feasible exponent for matrix multiplication and $D_+$ is the smallest effective divisor such that $D_+\geq D$. This improves the best known upper bounds on the complexity of computing Riemann-Roch spaces. Our algorithm may fail, but we show that provided that a few mild assumptions are satisfied, the failure probability is bounded by $O(\max(\deg(\mathcal C)^4, \deg(D_+)^2)/\lvert \mathcal E\rvert)$, where $\mathcal E$ is a finite subset of $k$ in which we pick elements uniformly at random. We provide a freely available C++/NTL implementation of the proposed algorithm and we present experimental data. In particular, our implementation enjoys a speedup larger than 6 on many examples (and larger than 200 on some instances over large finite fields) compared to the reference implementation in the Magma computer algebra system. As a by-product, our algorithm also yields a method for computing the group law on the Jacobian of a smooth plane curve of genus $g$ within $O(g^\omega)$ operations in $k$, which equals the best known complexity for this problem.
Constitutive IP 3 signaling underlies the sensitivity of B-cell cancers to the Bcl-2 / IP 3 receptor disruptor BIRD-2 Journal Item

Anti-apoptotic Bcl-2 proteins are upregulated in different cancers, including diffuse large B-cell lymphoma (DLBCL) and chronic lymphocytic leukemia (CLL), enabling survival by inhibiting pro-apoptotic Bcl-2-family members and inositol 1,4,5-trisphosphate (IP3) receptor (IP3R)-mediated Ca -signaling. A peptide tool (Bcl-2/IP3R Disruptor-2; BIRD-2) was developed to abrogate the interaction of Bcl-2 with IP3Rs by targeting Bcl-2′s BH4 domain. BIRD-2 triggers cell death in primary CLL cells and in DLBCL cell lines. Particularly, DLBCL cells with high levels of IP3R2 were sensitive to BIRD-2. Here, we report that BIRD-2-induced cell death in DLBCL cells does not only depend on high IP3R2-expression levels, but also on constitutive IP3 signaling, downstream of the tonically active B-cell receptor. The basal Ca 2+ level in SU-DHL-4 DLBCL cells was significantly elevated due to the constitutive IP3 production. This constitutive IP3 signaling fulfilled a prosurvival role, since inhibition of phospholipase C (PLC) using U73122 (2.5 μM) caused cell death in SU-DHL-4 cells. Milder inhibition of IP3 signaling using a lower U73122 concentration (1 μM) or expression of an IP3 sponge suppressed both BIRD-2-induced Ca elevation and apoptosis in SU-DHL-4 cells. Basal PLC/IP3 signaling also fulfilled a pro-survival role in other DLBCL cell lines, including Karpas 422, RI-1 and SU-DHL-6 cells, whereas PLC inhibition protected these cells against BIRD-2-evoked apoptosis. Finally, U73122 treatment also suppressed BIRD-2-induced cell death in primary CLL, both in unsupported systems and in co-cultures with CD40L-expressing fibroblasts. Thus, constitutive IP3 signaling in lymphoma and leukemia cells is not only important for cancer cell survival, but also represents a vulnerability, rendering cancer cells dependent on Bcl-2 to limit IP3R activity. BIRD-2 seems to switch constitutive IP3 signaling from pro-survival into pro-death, presenting a plausible therapeutic strategy.
A joint torque sensing technique for robots with harmonic drives

A joint torque sensing technique for robots with harmonic drives is proposed. Elasticity of harmonic drives is utilized to measure the joint torque. The technique provides joint torque sensing without reducing the stiffness of the robot and changing the mechanical structure of the joints. A finite-element analysis of flexsplines, which are flexible thin cups made from steel in harmonic drives, is performed. The analysis shows that a special configuration of strain gauges on the flexspline has to be employed to eliminate errors in sensor information due to rotations of wave generators. Characteristics of the torque sensor are examined experimentally. The linearity and the dynamic response are almost the same as those of a conventional sensing technique. Both theoretical and experimental investigations support the validity of the proposed sensing technique. <<ETX>>
Cellular Complexity in MAPK Signaling in Plants: Questions and Emerging Tools to Answer Them

Mitogen activated protein kinase (MAPK) cascades play an important role in many aspects of plant growth, development, and environmental response. Because of their central role in many important processes, MAPKs have been extensively studied using biochemical and genetic approaches. This work has allowed for the identification of the MAPK genes and proteins involved in a number of different signaling pathways. Less well developed, however, is our understanding of how MAPK cascades and their corresponding signaling pathways are organized at subcellular levels. In this review, we will provide an overview of plant MAPK signaling, including a discussion of what is known about cellular mechanisms for achieving signaling specificity. Then we will explore what is currently known about the subcellular localization of MAPK proteins in resting conditions and after pathway activation. Finally, we will discuss a number of new experimental methods that have not been widely deployed in plants that have the potential to provide a deeper understanding of the spatial and temporal dynamics of MAPK signaling.
Biscotti: A Ledger for Private and Secure Peer-to-Peer Machine Learning

Federated Learning is the current state of the art in supporting secure multi-party machine learning (ML): data is maintained on the owner's device and the updates to the model are aggregated through a secure protocol. However, this process assumes a trusted centralized infrastructure for coordination, and clients must trust that the central service does not use the byproducts of client data. In addition to this, a group of malicious clients could also harm the performance of the model by carrying out a poisoning attack. As a response, we propose Biscotti: a fully decentralized peer to peer (P2P) approach to multi-party ML, which uses blockchain and cryptographic primitives to coordinate a privacy-preserving ML process between peering clients. Our evaluation demonstrates that Biscotti is scalable, fault tolerant, and defends against known attacks. For example, Biscotti is able to protect the privacy of an individual client's update and the performance of the global model at scale when 30% of adversaries are trying to poison the model. The implementation can be found at: this https URL
Alterations in Schizophrenia-Associated Genes Can Lead to Increased Power in Delta Oscillations

Abstract Genome-wide association studies have implicated many ion channels in schizophrenia pathophysiology. Although the functions of these channels are relatively well characterized by single-cell studies, the contributions of common variation in these channels to neurophysiological biomarkers and symptoms of schizophrenia remain elusive. Here, using computational modeling, we show that a common biomarker of schizophrenia, namely, an increase in delta-oscillation power, may be a direct consequence of altered expression or kinetics of voltage-gated ion channels or calcium transporters. Our model of a circuit of layer V pyramidal cells highlights multiple types of schizophrenia-related variants that contribute to altered dynamics in the delta-frequency band. Moreover, our model predicts that the same membrane mechanisms that increase the layer V pyramidal cell network gain and response to delta-frequency oscillations may also cause a deficit in a single-cell correlate of the prepulse inhibition, which is a behavioral biomarker highly associated with schizophrenia.
D M ] 1 5 O ct 2 01 8 Parameterized Dynamic Cluster Editing ∗

1 Algorithmics and Computational Complexity, Faculty IV, TU Berlin, Berlin, Germany, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China , School of Mathematical Sciences, University of Chinese Academy of Sciences, Beijing, China, junjie.luo@campus.tu-berlin.de, luojunjie@amss.ac. cn Algorithmics and Computational Complexity, Faculty IV, TU Berlin, Berlin, Germany, {h.molter, andre.nichterlein, rolf.niedermeier}@tu-berlin.de