Miracle-dz/UniFAR-FTUs huggingface dataset:
Class-C Harmonic CMOS VCOs, With a General Result on Phase Noise

A harmonic oscillator topology displaying an improved phase noise performance is introduced in this paper. Exploiting the advantages yielded by operating the core transistors in class-C, a theoretical 3.9 dB phase noise improvement compared to the standard differential-pair LC-tank oscillator is achieved for the same current consumption. Further benefits derive from the natural rejection of the tail bias current noise, and from the absence of parasitic nodes sensitive to stray capacitances. Closed-form phase-noise equations obtained from a rigorous time-variant circuit analysis are presented, as well as a time-variant study of the stability of the oscillation amplitude, resulting in simple guidelines for a reliable design. Furthermore, the analysis of phase noise is extended to encompass a general harmonic oscillator, showing that all phase noise relations previously obtained for specific LC oscillator topologies are special cases of a very general and remarkably simple result.
An imaging method and the correction of distortion for Spaceborne-airborne bistatic SAR

Because of the great speed difference between the transmitter and the receiver of the spaceborne/airborne bistatic SAR (SA-BiSAR), the bistatic angle changes with time, which makes the geometric structure of the SAR system no longer invariant, and the imaging result distort seriously and dissimilarly. In order to solve this problem the geometric model of the SA-BiSAR is established in this paper at first. Then based on the analysis to cause the image distortion, a correction method for bistatic SAR distortion named Inverse-Projection is brought up. The simulation results demonstrate that this method can work well for spaceborne/airborne configuration.
Neonatal vitamin D and childhood brain tumor risk

Vitamin D deficiency among pregnant women is common. Compelling animal evidence suggests carcinogenic effects of vitamin D deficiency on the brains of offspring; however, the impact of circulating vitamin D [25(OH)D] on childhood brain tumor (CBT) risk has not been previously evaluated. Using linked birth‐cancer registry data in Washington State, 247 CBT cases (<15 years at diagnosis; born 1991 or later) were identified. A total of 247 birth year‐, sex‐ and race‐matched controls were selected from the remaining birth certificates. Liquid chromatography–tandem mass spectrometry was used to measure circulating levels of vitamin D3 [25(OH)D3] in neonatal dried blood spots. Overall, no significant associations were observed. However, when stratified by median birth weight (3,458 g), there was evidence of increasing risk of CBT with increasing 25(OH)D3 among children in the higher birth weight category. Compared to the lowest quartile (2.8–7.7 ng/mL), odds ratios (ORs) and 95% confidence intervals (CIs) for the second (7.7–<11.0 ng/mL), third (11.0–<14.7 ng/mL) and fourth (14.7–37.0) quartiles of 25(OH)D3 were 1.7 (1.0–3.3), 2.4 (1.2–4.8) and 2.6 (1.2–5.6), respectively. Among children in the lower birth weight category, there was suggestive evidence of a protective effect: ORs and 95% CIs for the second, third and fourth quartiles were 0.9 (0.4–1.9), 0.7 (0.3–1.4) and 0.6 (0.3–1.3), respectively. Any associations of neonatal vitamin D with CBT may be birth weight‐specific, suggesting the possible involvement of insulin‐like growth factor 1, circulating levels of which have been associated with vitamin D and accelerated fetal growth.
Routing in Polygons with Holes

Sending a message through an unknown network is a difficult problem. In this paper, we consider the case in which, during a preprocessing phase, we assign a label and a routing table to each node. The routing strategy must then decide where to send the package using only the label of the target node and the routing table of the node the message is currently at. In this paper, we present the first routing scheme for the particular case in which the network is defined by the visibility graph of a polygon with n vertices and h holes. For any ε > 0 the routing scheme provides stretch at most 1 + ε. The labels have O(log n) bits and the corresponding routing tables are of size O(ε−1(h + 1) log n). The preprocessing time is O(n2 log n+ (h+ 1)n + ε−1(h+ 1)n) and can be improved to O(n2 + ε−1n) for simple polygons.
Warehousing Workflow Data: Challenges and Opportunities

Workflow management systems (WfMSs) are software platforms that allow the definition, execution, monitoring, and management of business processes. WfMSs log every event that occurs during process execution. Therefore, workflow logs include a significant amount of information that can be used to analyze process executions, understand the causes of high - and low-quality process executions, and rate the performance of interna l resources and business partners. In this paper we present a packaged data warehousing solution, coupled with HP Process Manager, for collecting and analyzing workflow execution data. We first present the main challenges involved in this effort, and then detail the proposed approach.
Concanavalin A Protects Mice from a Lethal Inoculation of Intragastric Klebsiella pneumoniae and Reduces the Induced Liver Damage

ABSTRACT Intragastric inoculation of Klebsiella pneumoniae can cause invasive diseases, including necrosis of liver tissues and bacteremia. The effect of concanavalin A (ConA) on K. pneumoniae was tested. Pretreatment with ConA was able to protect mice from K. pneumoniae infection in an intragastric model. K. pneumoniae-induced mouse death and liver injury such as liver necrosis, as well as blood levels of aspartate aminotransferase and alanine aminotransferase, were inhibited in a dose-dependent manner by ConA. ConA administered intravenously as late as 24 h after K. pneumoniae inoculation was still protective. In an in vitro assay, ConA was able to bind K. pneumoniae cells directly and further agglutinate them but had no effect on their in vitro growth. Surveys of bacterial counts of ConA-treated mice revealed that the bacteria were eliminated effectively in both blood and liver tissues. Furthermore, the bactericidal activity of macrophages against K. pneumoniae was also enhanced in a dose-dependent manner by ConA in an in vitro culture. These data suggest that ConA is a potentially therapeutic agent for K. pneumoniae-induced liver infection.
Architecture support for single address space operating systems

Recent microprocessor announcements show a trend toward wide-address computers: architectures that support 64 bits of virtual address space. Such architectures facilitate fundamentally new operating system organizations that promote e cient data sharing and cooperation, both between complex applications and between parts of the operating system itself. One such organization is the single address space operating system, in which all processes run within a single global virtual address space; protection is provided not through conventional address space boundaries, but through protection domains that dictate which pages of the global address space a process can reference. This paper focuses on the architectural implications of single address space operating systems, speci cally the interaction between the memory system architecture and the operating system's use of addressing and protection. Our purpose is to explore certain architectural opportunities created by single address space systems by evaluating two protection models that support them. The rst provides protection on a per-page, perdomain basis; we de ne the protection lookaside bu er, a hardware structure that implements this model. The second provides protection on a page-group basis; this model is implemented in the Hewlett-Packard PA-RISC architecture. This paper will appear in identical form in the Proceedings of the ACM Conference on Architectural Support for Programming Languages and Operating Systems, October 1992. This work was supported in part by by the National Science Foundation under Grants No. CCR-8619663, CCR-8907666, CDA-9123308, CCR-9200832 and MIP-9058-439, by the Washington Technology Center and by the Digital Equipment Corporation Systems Research Center and External Research Program.
Functional Connectivity with the Default Mode Network Is Altered in Fibromyalgia Patients

Fibromyalgia syndrome (FMS) patients show altered connectivity with the network maintaining ongoing resting brain activity, known as the default mode network (DMN). The connectivity patterns of DMN with the rest of the brain in FMS patients are poorly understood. This study employed seed-based functional connectivity analysis to investigate resting-state functional connectivity with DMN structures in FMS. Sixteen female FMS patients and 15 age-matched, healthy control subjects underwent T2-weighted resting-state MRI scanning and functional connectivity analyses using DMN network seed regions. FMS patients demonstrated alterations to connectivity between DMN structures and anterior midcingulate cortex, right parahippocampal gyrus, left superior parietal lobule and left inferior temporal gyrus. Correlation analysis showed that reduced functional connectivity between the DMN and the right parahippocampal gyrus was associated with longer duration of symptoms in FMS patients, whereas augmented connectivity between the anterior midcingulate and posterior cingulate cortices was associated with tenderness and depression scores. Our findings demonstrate alterations to functional connectivity between DMN regions and a variety of regions which are important for pain, cognitive and emotional processing in FMS patients, and which may contribute to the development or maintenance of chronic symptoms in FMS.
Learning with Knowledge Graphs

In recent years a number of large-scale triple-oriented knowledge graphs have been generated. They are being used in research and in applications to support search, text understanding and question answering. Knowledge graphs pose new challenges for machine learning, and research groups have developed novel statistical models that can be used to compress knowledge graphs, to derive implicit facts, and to detect errors in the knowledge graph. In this paper we decribe the concept of triple-oriented knowledge graphs and corresponding learning approaches. We also discuss episodic knowledge graphs which are able to represent temporal data; learning with episodic data can be the basis for decision support systems, e.g. in a clinical context. Finally we discuss how knowledge graphs can support perception, by mapping subsymbolic sensory inputs, such as images, to semantic triples. A particular feature of our approach would be that perception, episodic memory and semantic memory are highly interconnected and that, in a cognitive interpretation, all rely on the same brain structures. 1 Semantic Knowledge Graphs A technical realization of a semantic memory is a knowledge graph (KG) which is a triple-oriented knowledge representation: A labelled link implies a (subject, predicate, object) statement where subject and object are entities that are represented as the nodes in the graph and where the predicate labels the link from subject to object. Large KGs have been developed that support search, text understanding and question answering [8]. A KG can be represented as a tensor which maps indices to true or false
Metagenomic Analyses of Alcohol Induced Pathogenic Alterations in the Intestinal Microbiome and the Effect of Lactobacillus rhamnosus GG Treatment

Enteric dysbiosis plays an essential role in the pathogenesis of alcoholic liver disease (ALD). Detailed characterization of the alterations in the gut microbiome is needed for understanding their pathogenic role in ALD and developing effective therapeutic approaches using probiotic supplementation. Mice were fed liquid Lieber-DeCarli diet without or with alcohol (5% v/v) for 6 weeks. A subset of mice were administered the probiotic Lactobacillus rhamnosus GG (LGG) from 6 to 8 weeks. Indicators of intestinal permeability, hepatic steatosis, inflammation and injury were evaluated. Metagenomic analysis of the gut microbiome was performed by analyzing the fecal DNA by amplification of the V3–V5 regions of the 16S rRNA gene and large-scale parallel pyrosequencing on the 454 FLX Titanium platform. Chronic ethanol feeding caused a decline in the abundance of both Bacteriodetes and Firmicutes phyla, with a proportional increase in the gram negative Proteobacteria and gram positive Actinobacteria phyla; the bacterial genera that showed the biggest expansion were the gram negative alkaline tolerant Alcaligenes and gram positive Corynebacterium. Commensurate with the qualitative and quantitative alterations in the microbiome, ethanol caused an increase in plasma endotoxin, fecal pH, hepatic inflammation and injury. Notably, the ethanol-induced pathogenic changes in the microbiome and the liver were prevented by LGG supplementation. Overall, significant alterations in the gut microbiome over time occur in response to chronic alcohol exposure and correspond to increases in intestinal barrier dysfunction and development of ALD. Moreover, the altered bacterial communities of the gut may serve as significant therapeutic target for the prevention/treatment of chronic alcohol intake induced intestinal barrier dysfunction and liver disease.
Keyframe based large-scale indoor localisation using geomagnetic field and motion pattern

This paper studies indoor localisation problem by using low-cost and pervasive sensors. Most of existing indoor localisation algorithms rely on camera, laser scanner, floor plan or other pre-installed infrastructure to achieve sub-meter or sub-centimetre localisation accuracy. However, in some circumstances these required devices or information may be unavailable or too expensive in terms of cost or deployment. This paper presents a novel keyframe based Pose Graph Simultaneous Localisation and Mapping (SLAM) method, which correlates ambient geomagnetic field with motion pattern and employs low-cost sensors commonly equipped in mobile devices, to provide positioning in both unknown and known environments. Extensive experiments are conducted in large-scale indoor environments to verify that the proposed method can achieve high localisation accuracy similar to state-of-the-arts, such as vision based Google Project Tango.
Quantitative Easing and Equity Prices: Evidence from the ETF Program of the Bank of Japan

Since the introduction of its quantitative and qualitative easing program in 2013, the Bank of Japan has been increasing its holdings of Japanese equity through large-scale purchases of index-linked ETFs, to lower risk premiums. We exploit the cross-sectional heterogeneity of the supply shock to identify a positive and persistent impact on stock prices, consistent with a portfolio balance channel. The evidence suggests that long-run demand curves for stocks are downward sloping with unitary price elasticity. We show that the purchases of ETFs tracking the price-weighted Nikkei 225 generate pricing distortions relative to a value-weighted benchmark. Received April 13, 2018; editorial decision July 18, 2019 by Editor Thierry Foucault. Authors have furnished an Internet Appendix, which is available on the Oxford University Press Web site next to the link to the final published paper online.
Importation of Hybrid Human-Associated Trypanosoma cruzi Strains of Southern South American Origin, Colombia

We report the characterization of Trypanosoma cruzi of southern South American origin among humans, domestic vectors, and peridomestic hosts in Colombia using high-resolution nuclear and mitochondrial genotyping. Expanding our understanding of the geographic range of lineage TcVI, which is associated with severe Chagas disease, will help clarify risk of human infection for improved disease control.
Group consensus in generic linear multi-agent systems with inter-group non-identical inputs

Abstract This paper studies the group consensus problem for generic linear multi-agent systems under directed information flow. External adapted inputs are introduced to realize the intra-group synchronization as well as the inter-group separation. Without imposing complicated algebraic criteria or restrictive graphic conditions on the interaction topology, we show that the group consensus can be achieved by designing appropriate gains given any magnitude of the coupling strengths among the agents. Numerical examples are presented to illustrate the availability of our results.
Comparison of tumor targeting in nude mice by murine monoclonal antibodies directed against different human colorectal cancer antigens.

Tumor targeting of five radioiodinated murine monoclonal antibodies (MAbs) directed against human colorectal cancer were studied in nude mice bearing the GW-39 human colonic tumor xenograft. All of the MAbs are of the IgG1 isotype. Two of the MAbs (NP-4 and MN-14) are directed against a Class III carcinoembryonic antigen-specific epitope, but they differ 10-fold in their affinity. The other three MAbs recognize mucins found in colonic cancer. Mu-9 recognizes a peptide determinant similar to that described previously for a polyclonal goat anti-colon-specific antigen p. G9 identifies an organ-specific, tumor-associated carbohydrate epitope. The tumor targeting of these MAbs was compared to that of B72.3, another anti-mucin MAb. The tumor uptake of all the MAbs were similar on days 1, 3, and 7, with an average maximum accretion of between 30 and 40%/g tumor occurring by day 3. This tumor uptake was maintained for 14 days with the anti-mucin MAbs, whereas the percentage of injected dose/g in the tumor for 2 anti-carcinoembryonic antigen MAbs decreased 2-fold by day 14. Although no statistical difference could be found between the percentage of injected dose/g in the tumor for NP-4 and MN-14 (carcinoembryonic antigen MAbs), in a paired-labeled study using 131I-MN-14 and 125I-NP-4, MN-14 uptake in the tumor was consistently 1.3 times higher than that of NP-4 on all days tested. F(ab')2 fragments showed lower tumor uptake (maximum uptake for NP-4 and Mu-9 was 11% on day 1), but the faster clearance resulted in a 4- to 40-fold increase in tumor/blood ratios on day 3 in comparison to the whole IgGs. Fab' fragments had the lowest tumor uptake of the 3 forms of immunoglobulin, with a maximum of only 5%/g 6 h after injection. However, tumor/blood ratios on day 1 for the Fab' fragments were improved 3-fold over that of F(ab')2. All of these MAbs, except Mu-9, identify epitopes that can be detected in plasma, but none of the MAbs complexed appreciably when mixed in vitro with plasma containing antigen at antigen/MAb ratios anticipated to be encountered most frequently in imaging or therapy applications in humans. However, complexation of the MAbs will occur if antigen in the plasma is markedly elevated. These studies suggest that if used clinically, tumor targeting of colorectal cancer with any of these MAb IgG may be similar if these antigens are present at relatively similar concentrations in tumor. (ABSTRACT TRUNCATED AT 400 WORDS)
Research on Multi-tenant Replication Consistency Based on Quorum NRW System

Replication technology, such as Quorum NRW system, is the most effective technology to improve availability of SaaS. However, the variety of SaaS transaction will result in application unbalance. In this paper, we construct a new Quorum NRW system for multitenant database which is based on the method of sharing database and schema model. It can provide different R and W values for each tenant according to application transaction features. The paper summarizes the left change and the right change modes according to the differences changes, and proposes Multi-tenant Quorum NRW system which transitive left change method and transitive right change method online. Multi-tenant Quorum NRW system can ensure strong consistency in condition of R + W> N. We design an experimental evaluation of multi-tenant Quorum NRW system, experimental data shows that Quorum NRW system enhances the transaction throughput by 5%-25%.
Cooperation and Cognition in Wireless Networks

The fundamental limits of communication over a wireless network of nodes has recently become an area of intense research. Even in the simplest case, the information theoretic capacity region of multi-terminal n etworks remains an open problem. The analysis of networks is made even richer through the recent introduction of cognitive radios, which could allow for cooperation between network nodes. In this paper we present a decomposition of arbitrary wireless networks with cognitive and noncognitive nodes, which reduces the network to a set of clusters which behave incompetitive, cognitive and cooperative fashions. We survey results on the more classical competitive and cooperative behaviors, and explore two examples of the recently introduced cognitive behavior in more depth. These two examples highlight different aspects of the asymmetric cooperation implied by cognitive behavior, and demonstrate the potential of asymmetric cooperation in wireless networks.
L R I ALLOWING CAMERA TILTS FOR DOCUMENT NAVIGATION IN STANDARD GUIs : A DISCUSSION AND AN EXPERIMENT

We examine the simple idea of allowing users of graphical user interface to view their documents in perspective whenever they need to navigate them. We argue that the virtual camera metaphor involved in GUIs can be likened to a flight simulator where looking in the direction of motion is impossible because the camera points fixedly to the ground. While little seems to have done been so far in HCI research to understand the potentialities and problems of camera tilting for generic document navigation, we claim that flat electronic documents have a future and we list a number of reasons why viewing a 2D document in perspective should help navigation. We analyze the problem of scale implosion in perspective views, and we report the data of an experiment aimed at testing some predictions from our theoretic analyses.