Miracle-dz/UniFAR-FTUs huggingface dataset:
Effects of network structures and fermi function's parameter β in promoting information spreading on dynamic social networks

: Network represents a multitude of interactions through which information spreads within a society. Indeed, people are connected according to the way they interact with one another and the resulting network significantly determines the efficiency and speed of information spreading. This paper aimed at examining how topological structures of dynamic social network and Fermi function’s parameter β influence information spreading. In order to carry out this study precisely, two models were proposed to generate a variety of network structures. To study the spreading process, the models were integrated with an epidemic Susceptible-Infected-Recovered (SIR) model and designed in such a way that nodes rewire network edges according to Fermi function which depends on a parameter β. By studying the number of recovered nodes generated in the spreading process and the number of acquainted nodes that are receiving information in each time step, the results suggested that network structure and both positive and negative β play an important role in promoting information spreading. These results give a good indication that the structure of a society influences the spreading process. More specifically, the structure of dynamic interactions is a good promoter of information spreading. Moreover, it is proposed that rewiring more than three edges of random network could yield no significant advantages in promoting information spreading. The present study likely enriches our knowledge and provides more insight on information spreading
Relevant and Redundant Lung Function Parameters in Discriminating Asthma from COPD

A relevant set of lung function parameters, derived from spirometry, flow-volume curves, diffusion capacity and bodyplethysmography, to discriminate asthma from COPD was established via logistic regression analysis. All new patients, referred to the outpatient clinic and later defined as asthma or COPD, underwent extensive lung function testing with reversibility testing. Logistic regression was used to calculate the probability to be a COPD or asthma patient. Selection of relevant parameters was done via 1] forward-, 2] backward-, 3] stepwise selection and 4] the best score method. All four methods were supplemented by bootstrapping to obtain a validated selection and estimation of the logistic regression parameters. The area under the ROC curve (mean ± sd) for respectively the forward, backward, stepwise and best score selection method is 0.9348 ± 0.0115, 0.9346 ± 0.0115, 0.9348 ± 0.0115 and 0.9296 ± 0.0121. The TLCO, VA and the postdilator MEF50, VC and PEF were selected as the most relevant parameters in discriminating asthma from COPD: they appeared most often as relevant discriminators in 500 bootstrapped samples: TLCO was present in all bootstrapped samples and VA, postdilator MEF50, VC and PEF in resp. 70.8%, 46.2%, 42.8% and 36.8%. Bodyplethysmography derived parameters turned out to be of limited value. Diffusion capacity testing and spirometry/flow-volume curve after administration of bronchodilators are the methods of choice when having to chose between asthma or COPD.
The Effect of Tiotropium on Hyperinflation and Exercise Capacity in Chronic Obstructive Pulmonary Disease

Background: Chronic obstructive pulmonary disease (COPD) is characterized by airflow limitation, which results in the progressive development of dyspnea and exercise limitation. Objective and Methods: To compare the effect of tiotropium with placebo on forced vital capacity (FVC) in patients with moderate-to-severe COPD and lung hyperinflation, using exercise endurance, dyspnea and health-related quality of life (HRQoL) as secondary endpoints. One hundred patients were randomized to receive either tiotropium 18 µg once daily or placebo for 12 weeks. Results: Trough (predose) FVC was significantly improved with tiotropium compared to placebo on day 42 (0.27 ± 0.08 liters) and 84 (0.20 ± 0.08 liters; p < 0.05 for both). Trough inspiratory capacity (IC) was also significantly improved with tiotropium compared to placebo on day 42 (0.16 ± 0.07 liters) and 84 (0.15 ± 0.07 liters; p < 0.05 for both). Tiotropium increased the mean distance walked during the shuttle walking test by 33 ± 12 (day 42) and 36 ± 14 m (day 84) compared to placebo (p < 0.05 for both). On day 84, 59% of the patients in the tiotropium group and 35% of the patients in the placebo group had significant and clinically meaningful improvements in the St. George’s Respiratory Questionnaire total score (p < 0.05). Numerical decreases in the focal score in the Transition Dyspnea Index in patients receiving tiotropium versus placebo suggest that tiotropium also improved dyspnea during activities of daily living. Conclusion: Tiotropium 18 µg once daily reduced hyperinflation with consequent improvements in walking distance and HRQoL in patients with COPD and lung hyperinflation.
Unsupervised Clustering Under Temporal Feature Volatility in Network Stack Fingerprinting

Maintaining and updating signature databases are tedious tasks that normally require a large amount of user effort. The problem becomes harder when features can be distorted by observation noise, which we call volatility. To address this issue, we propose algorithms and models to automatically generate signatures in the presence of noise, with a focus on single-probe stack fingerprinting, which is a research area that aims to discover the operating system of remote hosts using their response to a TCP SYN packet. Armed with this framework, we construct a database with 420 network stacks, label the signatures, develop a robust classifier for this database, and fingerprint 66M visible webservers on the Internet. We compare the obtained results against Nmap and discover interesting limitations of its classification process that prevent correct operation when its auxiliary probes (e.g., TCP rainbow, TCP ACK, and UDP to a closed port) are blocked by firewalls.
Pentraxin‐3: A novel biomarker for discriminating parapneumonic from other exudative effusions

Pentraxin‐3 (PTX‐3) is a relatively new marker of inflammation that has not been previously tested in pleural effusions. We aimed to assess whether PTX‐3 is an accurate biomarker of parapneumonic effusions (PPE) and whether it discriminates complicated (CPPE)from non‐complicated PPE.
Rate of RhD sensitisation before and after implementation of a community based antenatal prophylaxis programme

Despite published guidelines in the United Kingdom for the administration of anti-D immunoglobulin to pregnant women at risk of sensitisation to RhD,1 maternal sensitisation is still between 1% and 1.5%. 2 RhD sensitisation could be reduced by routine antenatal prophylaxis with anti-D immunoglobulin.3 4 We retrospectively surveyed routine prophylaxis with anti-D immunoglobulin in pregnant women within a community based system of care. All pregnant women in southern Derbyshire who are RhD negative receive anti-D immunoglobulin according to current United Kingdom guidelines.1 Additionally, since 1990, primigravidas (and those with no living children) who are RhD negative have been offered 500 IU anti-D immunoglobulin prophylactically by intramuscular injection at both 28 and 34 weeks' gestation. Women who need prophylaxis are identified by hospital staff, general practitioners, and community …
β-Integrin de-phosphorylation by the Density-Enhanced Phosphatase DEP-1 attenuates EGFR signaling in C. elegans

Density-Enhanced Phosphatase-1 (DEP-1) de-phosphorylates various growth factor receptors and adhesion proteins to regulate cell proliferation, adhesion and migration. Moreover, dep-1/scc1 mutations have been detected in various types of human cancers, indicating a broad tumor suppressor activity. During C. elegans development, DEP-1 mediates binary cell fate decisions by negatively regulating EGFR signaling. Using a substrate-trapping DEP-1 mutant in a proteomics approach, we have identified the C. elegans β-integrin subunit PAT-3 as a specific DEP-1 substrate. DEP-1 selectively de-phosphorylates tyrosine 792 in the membrane-proximal NPXY motif to promote integrin activation via talin recruitment. The non-phosphorylatable β-integrin mutant pat-3(Y792F) partially suppresses the hyperactive EGFR signaling phenotype caused by loss of dep-1 function. Thus, DEP-1 attenuates EGFR signaling in part by de-phosphorylating Y792 in the β-integrin cytoplasmic tail, besides the direct de-phosphorylation of the EGFR. Furthermore, in vivo FRAP analysis indicates that the αβ-integrin/talin complex attenuates EGFR signaling by restricting receptor mobility on the basolateral plasma membrane. We propose that DEP-1 regulates EGFR signaling via two parallel mechanisms, by direct receptor de-phosphorylation and by restricting receptor mobility through αβ-integrin activation.
Towards Spoken Language Interfaces for Mobile Applications

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from permissions@acm.org. CHI’16 Workshop, May 7–8, 2016, San Jose, CA, USA. Copyright is held by the owner/author(s). Publication rights licensed to ACM. Abstract People are able to interact with domain-specific intelligent assistants (IA) via spoken language interfaces to access mobile applications. However, sometimes user goals are complex and may require interactions with multiple applications/domains. However current IAs are limited to specific domains and users have to directly manage execution spanning multiple applications in order to engage in more complex activities. An ideal personal agent would be able to model user intents at different levels (single-domain to cross-domain dialogues). This paper addresses several challenges about hierarchical language understanding in the context of spoken dialogue systems (SDS). Our experiments show that language understanding at different levels allows an agent to actively suggest apps relevant to pursuing particular user goals and reduce the cost of users’ self-management.
Molecular cloning and characterization of a novel type of regulatory protein (GDI) for smg p25A, a ras p21-like GTP-binding protein

We recently purified to near homogeneity a novel type of regulatory protein for smg p25A, a ras p21-like GTP-binding protein, from bovine brain cytosol. This regulatory protein, named smg p25A GDP dissociation inhibitor (GDI), regulates the GDP-GTP exchange reaction of smg p25A by inhibiting dissociation of GDP from and subsequent binding of GTP to it. In the present studies, we isolated and sequenced the cDNA of smg p25A GDI from a bovine brain cDNA library by using an oligonucleotide probe designed from the partial amino acid sequence of purified smg p25A GDI. The cDNA has an open reading frame that encodes a protein of 447 amino acids with a calculated Mr of 50,565. This Mr is similar to those of the purified smg p25A GDI estimated by sodium dodecyl sulfate-polyacrylamide gel electrophoresis and sucrose density gradient ultracentrifugation, which are about 54,000 and 65,000, respectively. The isolated cDNA is expressed in Escherichia coli, and the encoded protein exhibits GDI activity. smg p25A GDI is hydrophilic overall, except for one hydrophobic region near the N terminus. smg p25A GDI shares low amino acid sequence homology with the Saccharomyces cerevisiae CDC25-encoded protein, which has been suggested to serve as a factor that regulates the GDP-GTP exchange reaction of the yeast RAS2-encoded protein, but not with the beta gamma subunits of GTP-binding proteins having an alpha beta gamma subunit structure, such as Gs and Gi. The smg p25A GDI mRNA was present in various tissues, including not only tissues in which smg p25A was detectable but also tissues in which it was not detectable. This fact has raised the possibility that smg p25A GDI interacts with another G protein in tissues in which smg p25A is absent.
Real-Time Fluorogenic Reverse Transcription Polymerase Chain Reaction Assay for Detection of African Horse Sickness Virus

African horse sickness is an arthropod-borne disease of the equine included in the World Organization for Animal Health (OIE) list with important economic consequences for horse trade. The disease is caused by African horse sickness virus (AHSV; family Reoviridae, genus Orbivirus), which is transmitted by Culicoides midges. It is endemic in sub-Saharan Africa, spreading occasionally outside this area where the occurrence of Culicoides vectors allows virus transmission. Currently, only conventional (gel-based) reverse transcription polymerase chain reaction (RT-PCR) protocols are available for its detection; however, these methods are cumbersome and difficult to apply when large numbers of samples are to be tested, as in the case of epizootics. To overcome this problem, a real-time RT-PCR method has been developed, based on a 5'-Taq nuclease-3′-minor groove binder-DNA probe (TaqMan MGB) for detection of a wide range of AHSV serotypes and strains designed to the highly conserved region of the VP7 gene (segment 7). The method was able to detect all prototype strains from the 9 known serotypes of the virus, with a high analytical sensitivity; no cross-reactions were observed with other orbiviruses or with other viruses affecting horses. The diagnostic sensitivity was assessed using a panel of AHSV-positive tissue samples from an epizootic that occurred in Spain between 1987 and 1990. This method, which can be performed in 96-well format, is suitable for large-scale surveillance of AHSV in areas where it can potentially spread.
Neutron production evaluation from a ADS target utilizing the MCNPX 2.6.0 code

Accelerators Driven Systems (ADS) are an innovative type of nuclear system, which is useful for long-lived fission product transmutation and fuel regeneration. The ADS consist of a coupling of a sub-critical nuclear core reactor and a proton beam produced by particle accelerator. These particles are injected into a target for the neutrons production by spallation reactions. This target is of utmost importance for an ADS, representing the coupling of the accelerator and the sub-critical core. The determination of optimal materials for these targets is fundamental for the design of an ADS. The main characteristic of an ideal target is the high production of neutrons per incident proton. In this work are shown results for the neutron production of various types of targets using the MCNPX 2.6. 0 code. Furthermore, it is performed a comparative study of transport models to describe the spallation reactions available in this code.
Chemical and Structural Studies of Serotype Polysaccharide Antigens of Streptococcus sobrinus 6715 t

a region in the serotype-specific g site not present in the serospecific g site of fraction LIII. This region was designated x. In addition to the serotype-specific g site, the cross-reactive sites, g-a, g-d, and g-(a-d), were all present on a single molecule of fractions LII and LIII. Polysaccharides LII and LIII were composed of galactose, glucose, and rhamnose. Analysis of inhibition of the precipitin reaction suggested that the serotype g site of fraction LII (the putative form of g antigen) may consist of two immunodominant regions, one a galactose-containing region (region x) and the other a glucose-containing region, while the serotype g site of fraction LIII appeared to have one immunodominant region containing a glucose determinant. The methylation and '3C nuclear magnetic resonance analyses of LII and LIII fractions provided information on the linkage and the anomeric structures of the sugar components of the polysaccharides.
Vulnerability of Network Mechanisms to Sophisticated DDoS Attacks

In recent years, we have experienced a wave of DDoS attacks threatening the welfare of the internet. These are launched by malicious users whose only incentive is to degrade the performance of other, innocent, users. The traditional systems turn out to be quite vulnerable to these attacks. The objective of this work is to take a first step to close this fundamental gap, aiming at laying a foundation that can be used in future computer/network designs taking into account the malicious users. Our approach is based on proposing a metric that evaluates the vulnerability of a system. We then use our vulnerability metric to evaluate a data structure which is commonly used in network mechanisms-the Hash table data structure. We show that Closed Hash is much more vulnerable to DDoS attacks than Open Hash, even though the two systems are considered to be equivalent by traditional performance evaluation. We also apply the metric to queuing mechanisms common to computer and communications systems. Furthermore, we apply it to the practical case of a hash table whose requests are controlled by a queue, showing that even after the attack has ended, the regular users still suffer from performance degradation or even a total denial of service.
iGeoNoti: A fine-grained indoor geo-notification system

The emergence of geofences makes it easy to push geo-notifications. It is important for pedestrians in indoor environments to receive notifications in certain rooms as well as different floors. The existing methods only use the characteristics of the wireless signal to distinguish geofences. However, wireless signals are unstable in some areas and often limited to a single floor. This may poses problems to deliver geo-notifications in multi-floor indoor environments. In this paper, we propose iGeoNoti, a fine-grained indoor geo-notification system. It adopts indoor pedestrian reachable distance (PRD) to define an indoor geofence represented by the graph. The isolated rooms and floors can be thus represented as the whole one graph-based indoor geofence. As a proof of concept, the system provides a web user interface to describe indoor geofence scenarios according to the understandable semantic rules. We evaluate iGeoNoti in real world. The experimental results show that it is easy to define indoor geofence in our proposed system by using the PRD-based rule and geo-notifications can be triggered in fine-grained locations.
Analysis on the correlation between OSNR penalty and DOP in PMD compensation

We study the correlation between optical signal to noise ratio (OSNR) penalty and degree of polarization (DOP) for first and second-order polarization mode dispersion. We show however via simulations that the compensation method with DOP as a feedback signal is inefficient when the second-order polarization mode dispersion is significant. We illustrate this phenomenon by comparing non-return to zero and return to zero transmission format. We propose that the depolarization parameter can be applied as an auxiliary feedback signal for further OSNR penalty reduction in the optical transmission link.
VIETNAMESE PARSING APPLYING THE PCFG MODEL

This paper presents a Vietnamese syntax parsing method by applying PCFG model and improved CYK algorithm. The PCFG model (Probabilistic Context – Free Grammar) has been widely applied for language parsing problems and given a high effect especially for English. In this paper, we propose a model that is applied the PCFG for Vietnamese syntax parsing and an approach for building a set of linguistic data that called Vietnamese Treebank, this data will be used for establishing PCFG rules. At the same time, we also propose some improvements for building set of Vietnamese syntax rules to enhance the accuracy of parsing. The result of our experiment has been compared and demonstrated the effect of applying the PCFG model for Vietnamese syntax parsing.
Active-RC Filters Using the Gm-Assisted OTA-RC Technique

The linearity of conventional active-RC filters is limited by the operational transconductance amplifiers (OTAs) used in the integrators. Transconductance-capacitance (Gm-C) filters are fast and can be linear- however, they are sensitive to parasitic capacitances. We explore the Gm-assisted OTA-RC technique, which is a way of combining Gm-C and active-RC integrators in a manner that enhances the linearity and speed of the latter, while adding negligible extra noise or power dissipation. Measurements from a fifth-order Chebyshev filter with 20 MHz bandwidth, designed in a 0.18 μ m CMOS process, demonstrate the efficacy of Gm-assistance in an active-RC integrator.
Familial haemophagocytic lymphohistiocytosis: Survival of a premature twin with immuno‐chemotherapy and bone marrow transplantation from an HLA‐identical unrelated donor

We describe a premature twin born at 30 wk of gestational age, affected with familial haemophagocytic lymphohistiocytosis. Two different mutations were identified in his DNA: one inherited from the mother and one from the father. Haemophagocytosis had been confirmed in his twin brother, who died soon after birth, as well as in the re‐evaluation of the autopsy of his older sister, who died 1 y earlier. At 26 d of age, chemotherapy and immune‐suppressive treatment were started according to the HLH‐94 protocol. At 6 mo of age, a bone marrow transplant from an HLA‐identical, unrelated volunteer was performed. Now at 32 mo of age, the infant is healthy and without signs of graft‐versus‐host disease.
Tristate Memory Cells Using Double-Peaked Fin-Array III–V Tunnel Diodes Monolithically Grown on (001) Silicon Substrates

We demonstrate functional tristate memory cells using multipeaked GaAs/InGaAs fin-array tunnel diodes grown on exact (001) Si substrates. On-chip connection of single-peaked tunnel diode arrays produces I–V characteristics with multiple negative-differential resistance regions. We designed and fabricated two types of tristate memory cells. In one design, a double-peaked tunnel diode was used as the drive, and a reverse-biased single-peaked tunnel diode was used as the load. In the other design, the tristate memory cell was realized by the series connection of two forward-biased single-peaked tunnel diodes.
Genetic algorithm for parameter and scale selection to predict soil moisture patterns

Soil moisture is a critical component of hydrological processes, and its spatio-temporal distribution depends on many geographical factors (such as elevation, slope, and aspect, etc.). Each of the factors is likely influential over a different scale and to a different degree. Near-surface soil moisture data were collected across a working 10-ha field southwest of Ames, IA in growing seasons of 2004 to 2007. A genetic algorithm is developed to compare geographical factors to the moisture patterns over a range of scales. The genetic algorithm will develop a model in which each factor is computed over a different scale for use in prediction of reference variable. Optimized scales for each parameter are arrived at through successive generations, including crossover and mutation of this evolutionary algorithm. Using this approach, not only are the primary influential relationships uncovered, but the most appropriate scale for comparison to moisture pattern is identified. The results of this analysis can be used to predict the spatio-temporal patterns of soil moisture across a region a priori.