Miracle-dz/UniFAR-FTUs huggingface dataset:
16 MultiPhoton Entanglement and Quantum NonLocality

We review recent experiments concerning multi-photon Greenberger–Horne– Zeilinger (GHZ) entanglement. We have experimentally demonstrated GHZ entanglement of up to four photons by making use of pulsed parametric downconversion. On the basis of measurements on three-photon entanglement, we have realized the first experimental test of quantum non-locality following from the GHZ argument. Not only does multi-particle entanglement enable various fundamental tests of quantum mechanics versus local realism, but it also plays a crucial role in many quantum-communication and quantumcomputation schemes.
T-S Fuzzy Modeling Method Based on C-Means Clustering

As complex industrial process with the characteristics of multi-variables, nonlinear, time-varying and large inertia, it is difficult to obtain the satisfactory model by traditional modeling method. In this paper, T-S model between calcination temperature and gas flow is established by applying the T-S fuzzy modeling method. Antecedent and consequent of T-S model are identified apart. Fuzzy c-means clustering algorithm is used to identify antecedent parameter and structure. Consequent parameter is identified by least square method. At last, the effect modeling method is validated by simulation of rotary kiln.
Speaking Sociologically with Big Data: Symphonic Social Science and the Future for Big Data Research

Recent years have seen persistent tension between proponents of big data analytics, using new forms of digital data to make computational and statistical claims about ‘the social’, and many sociologists sceptical about the value of big data, its associated methods and claims to knowledge. We seek to move beyond this, taking inspiration from a mode of argumentation pursued by Piketty, Putnam and Wilkinson and Pickett that we label ‘symphonic social science’. This bears both striking similarities and significant differences to the big data paradigm and – as such – offers the potential to do big data analytics differently. This offers value to those already working with big data – for whom the difficulties of making useful and sustainable claims about the social are increasingly apparent – and to sociologists, offering a mode of practice that might shape big data analytics for the future.
MiR-222 Overexpression Confers Cell Migratory Advantages in Hepatocellular Carcinoma through Enhancing AKT Signaling

Purpose: This study aims to profile the expressions of 156 microRNAs (miRNA) in hepatocellular carcinoma (HCC) and to characterize the functions of miR-222, the most significantly upregulated candidate identified. Experimental Design: miRNA expression profile in HCC tumors, matching adjacent cirrhotic livers, and cell lines was conducted using quantitative PCR. Common miR-222 upregulations were further validated in a larger cohort of tumors. The functional effects of miR-222 inhibition on HCC cell lines were examined. The downstream modulated pathways and target of miR-222 were investigated by coupling gene expression profiling and pathway analysis, and by in silico prediction, respectively. Luciferase reporter assay was done to confirm target interaction. Results: We identified a 40-miRNA signature that could discriminate tumors from adjacent cirrhotic liver tissue, and further corroborated common miR-222 overexpression in tumors relative to its premalignant counterpart (55.3%; P < 0.0001). Increased miR-222 expression correlated significantly with advanced stage HCC and with the shorter disease-free survival of patients (P ≤ 0.01). Inhibition of miR-222 in Hep3B and HKCI-9 significantly retarded cell motility (P < 0.05). Further investigations suggested that AKT signaling was the major pathway influenced by miR-222. A consistent reduction of AKT phosphorylation in Hep3B and HKCI-9 was shown following miR-222 suppression. The protein phosphatase 2A subunit B (PPP2R2A) was predicted as a putative miR-222 target in silico. We found that miR-222 inhibition could augment the tumor protein level and restore luciferase activity in reporter construct containing the PPP2R2A 3′ untranslated region (P = 0.0066). Conclusions: Our study showed that miR-222 overexpression is common in HCC and could confer metastatic potentials in HCC cells, possibly through activating AKT signaling. Clin Cancer Res; 16(3); 867–75
ONTOLOGY-BASED INFORMATION RETRIEVAL USING FUZZY CONCEPT DOCUMENTATION

Ontology is a conceptualization of a knowledge domain being shared by a group of users and represented as a machine-readable format. Embedding ontology into information retrieval is a natural way to improve the effectiveness of searching results. In this article, an ontology-based information retrieval framework is proposed to combine the documents retrieval technique with ontology. The ontology used in the system includes a general semantic ontology, domain knowledge, and automatic generated fuzzy concept hierarchy. The experimental results show that a combination of applying different ontologies has a significant impact on the retrieval effectiveness for different query domains.
Fast Bayesian people detection

Template-based methods have been shown to be effective at solving the problem of tracking specific objects, but their large number of free parameters can make them slow to apply and hard to optimise globally. In this work, we propose a template-based method for tracking people with fixed cameras, which automatically detects the number of people in a frame, is robust to occlusions, and can run at near-real-time frame rates. We demonstrate the effectiveness of the method by comparing it to a state-of-the-art background segmentation algorithm and show its important performance advantage.
Designing a Micro-moving Target IPv6 Defense for the Internet of Things

As the use of low-power and low resource embedded devices continues to increase dramatically with the introduction of new Internet of Things (IoT) devices, security techniques are necessary which are compatible with these devices. This research advances the knowledge in the area of cyber security for the IoT through the exploration of a moving target defense to apply for limiting the time attackers may conduct reconnaissance on embedded systems while considering the challenges presented from IoT devices such as resource and performance constraints. We introduce the design and optimizations for a Micro-Moving Target IPv6 Defense including a description of the modes of operation, needed protocols, and use of lightweight hash algorithms. We also detail the testing and validation possibilities including a Cooja simulation configuration, and describe the direction to further enhance and validate the security technique through large scale simulations and hardware testing followed by providing information on other future considerations.
Inhibition of Histone Deacetylase 3 (HDAC3) Mediates Ischemic Preconditioning and Protects Cortical Neurons against Ischemia in Rats

Brain ischemic preconditioning (PC) provides vital insights into the endogenous protection against stroke. Genomic and epigenetic responses to PC condition the brain into a state of ischemic tolerance. Notably, PC induces the elevation of histone acetylation, consistent with evidence that histone deacetylase (HDAC) inhibitors protect the brain from ischemic injury. However, less is known about the specific roles of HDACs in this process. HDAC3 has been implicated in several neurodegenerative conditions. Deletion of HDAC3 confers protection against neurotoxicity and neuronal injury. Here, we hypothesized that inhibition of HDAC3 may contribute to the neuronal survival elicited by PC. To address this notion, PC and transient middle cerebral artery occlusion (MCAO) were conducted in Sprague-Dawley rats. Additionally, primary cultured cortical neurons were used to identify the modulators and effectors of HDAC3 involved in PC. We found that nuclear localization of HDAC3 was significantly reduced following PC in vivo and in vitro. Treatment with the HDAC3-specific inhibitor, RGFP966, mimicked the neuroprotective effects of PC 24 h and 7 days after MCAO, causing a reduced infarct volume and less Fluoro-Jade C staining. Improved functional outcomes were observed in the neurological score and rotarod test. We further showed that attenuated recruitment of HDAC3 to promoter regions following PC potentiates transcriptional initiation of genes including Hspa1a, Bcl2l1, and Prdx2, which may underlie the mechanism of protection. In addition, PC-activated calpains were implicated in the cleavage of HDAC3. Pretreatment with calpeptin blockaded the attenuated nuclear distribution of HDAC3 and the protective effect of PC in vivo. Collectively, these results demonstrate that the inhibition of HDAC3 preconditions the brain against ischemic insults, indicating a new approach to evoke endogenous protection against stroke.
Chatter that Matters: A New Path to Progressive Understandings of Disability Through the Online Discussion of Popular Novels

M.Ed. University of Calgary 2007 Calgary, Alberta, Canada Community Rehabilitation and Disability Studies Advisor: E. Anne Hughson, University of Calgary, Calgary, AB Committee: Dick Sobsey, University of Alberta, Edmonton, AB Bruce Uditsky, Adjunct, University of Calgary, Calgary, AB Major Research Paper: Degrees of Inclusion: An Interpretation of Academic Privilege and the Inclusion of Students with Intellectual Disabilities in Canadian Universities
Slotted Aloha for networked base stations

We study multiple base station, multi-access systems in which the user-base station adjacency is induced by geographical proximity. At each slot, each user transmits (is active) with a certain probability, independently of other users, and is heard by all base stations within the distance r. Both the users and base stations are placed uniformly at random over the (unit) area. We first consider a non-cooperative decoding where base stations work in isolation, but a user is decoded as soon as one of its nearby base stations reads a clean signal from it. We find the decoding probability and quantify the gains introduced by multiple base stations. Specifically, the peak throughput increases linearly with the number of base stations m and is roughly m=4 larger than the throughput of a single-base station that uses standard slotted Aloha. Next, we propose a cooperative decoding, where the mutually close base stations inform each other whenever they decode a user inside their coverage overlap. At each base station, the messages received from the nearby stations help resolve collisions by the interference cancellation mechanism. Building from our exact formulas for the non-cooperative case, we provide a heuristic formula for the cooperative decoding probability that reflects well the actual performance. Finally, we demonstrate by simulation significant gains of cooperation with respect to the non-cooperative decoding.
SVM LEARNING AND Lp APPROXIMATION BY GAUSSIANS ON RIEMANNIAN MANIFOLDS

We confirm by the multi-Gaussian support vector machine (SVM) classification that the information of the intrinsic dimension of Riemannian manifolds can be used to illustrate the efficiency (learning rates) of learning algorithms. We study an approximation scheme realized by convolution operators involving the Gaussian kernels with flexible variances. The essential analysis lies in the study of its approximation order in Lp (1 ≤ p < ∞) norm as the variance of the Gaussian tends to zero. It is different from the analysis for approximation in C(X) since pointwise estimations do not work any more. The Lp approximation arises from the SVM case where the approximated function is the Bayes rule and is not continuous, in general. The approximation error is estimated by imposing a regularity condition that the approximated function lies in some interpolation spaces. Then, the learning rates for multi-Gaussian regularized classifiers with general classification loss functions are derived, and the rates depend on the intrinsic dimension of the Riemannian manifold instead of the dimension of the underlying Euclidean space. Here, the input space is assumed to be a connected compact C∞ Riemannian submanifold of ℝn. The uniform normal neighborhoods of the Riemannian manifold and the radial basis form of Gaussian kernels play an important role.
Transfer Learning for User Adaptation in Spoken Dialogue Systems

This paper focuses on user adaptation in Spoken Dialogue Systems. It is considered that the system has already been optimised with Reinforcement Learning methods for a set of users. The goal is to use and transfer this prior knowledge to adapt the system to a new user as quickly as possible without impacting asymptotic performance. The first contribution is a source selection method using a multi-armed stochastic bandit algorithm in order to improve the jumpstart, \emph{i.e.} the average performance at the start of the learning curve. Contrarily to previous source selection methods, there is no need to define a metric between users, and it is parameter free. The second contribution is an innovative method for selecting the most informative transitions within the previously selected source, to improve the target model, in such a way that only transitions that were not observed with the target user are transferred from the selected source. For our experimentation, Reinforcement Learning is performed with the Fitted $Q$-Iteration algorithm. Both methods are validated on a negotiation game: an appointment scheduling simulator that allows the definition of simulated user models adopting diversified behaviours. Compared to state-of-the-art transfer algorithms, results show significant improvements for both jumpstart and asymptotic performance.
Modeling flow in coral communities with and without waves: A synthesis of porous media and canopy flow approaches

Both canopy flow and porous media theories have been developed independent of one another to predict flow through submerged porous structures. These approaches are very similar, albeit with some key differences in how canopy resistance forces are parameterized. Canopy models provide a means of parameterizing the shear stresses that occur at the top of the canopy, whereas porous media models can often provide a simpler and more tractable way of parameterizing turbulent form drag based on simple morphological metrics and empirical relationships already in the hydrology literature. We developed a set of equations combining aspects of both models and applied this hybridized model to predict the flow structure within an experimental canopy formed by the branching coral Porites compressa, using model parameter values obtained from the literature. Results from the model predictions agreed well with direct measurements of flow speed and flow forces derived from particle image velocimetry under conditions of both unidirectional and wave‐driven oscillatory flow.
Human indoor localization based on ceiling mounted PIR sensor nodes

This paper presents a human indoor localization system using ceiling mounted pyroelectric infrared (PIR) sensors. The field of views (FOVs) of the PIR sensors is modulated by two degrees of freedom (DOF) of spatial segmentation. The localization algorithm is proposed to fuse the data stream generated from different sensor nodes within the wireless network. The Kalman Filter and Kalman Smoother are utilized to refine the estimation of the human position. We conduct experiments in a real office environment, and the average root-mean-square error (RMSE) of single human target tracking at different speed is about 0.6 meter. The promising results confirm the efficacy of our system.
Generalized virtual networking: An enabler for service centric networking and network function virtualization

In this paper we introduce the Generalized Virtual Networking (GVN) concept. GVN provides a framework to influence the routing of packets based on service level information that is carried in the packets. It is based on a protocol header inserted between the Network and Transport layers, therefore it can be seen as a layer 3.5 solution. Technically, GVN is proposed as a new transport layer protocol in the TCP/IP protocol suite. An IP router that is not GVN capable will simply process the IP destination address as usual. Similar concepts have been proposed in other works, and referred to as Service Oriented Networking, Service Centric Networking, Application Delivery Networking, but they are now generalized in the proposed GVN framework. In this respect, the GVN header is a generic container that can be adapted to serve the needs of arbitrary service level routing solutions. The GVN header can be managed by GVN capable end-hosts and applications or can be pushed/popped at the edge of a GVN capable network (like a VLAN tag). In this position paper, we show that Generalized Virtual Networking is a powerful enabler for SCN (Service Centric Networking) and NFV (Network Function Virtualization) and how it couples with the SDN (Software Defined Networking) paradigm.
Hybrid Multicast Scheme for Many-to-Many Videoconferencing

Native multicast is not ubiquitous available now, providing efficient way for unicast end-hosts to access multicast session is important for many-to-many videoconferencing. Reflector-based hybrid multicast scheme is not scalable for bottleneck of its capacity and deployment expenses. We proposed one peer-based hybrid multicast scheme for scalable many-to-many videoconferencing. The multicast-capable end-hosts are designed as peers to forward packets from multicast group to unicast clients or in the reverse direction. Peer clustering is adopted for unicast users to locate nearby peers easily. Furthermore we seek to minimize the total delay cost of local area end-hosts via bit rate adjustment method with a linear programming model. Simulation and application case show the peer-based hybrid multicasting is more scalable and more efficient than reflector-based scheme.
An Improved Cryogen for Plunge Freezing

Abstract The use of an alkane mixture that remains liquid at 77 K to freeze specimens has advantages over the use of a pure alkane that is solid at 77 K. It was found that a mixture of methane and ethane did not give a cooling rate adequate to produce vitreous ice, but a mixture of propane and ethane did result in vitreous ice. Furthermore, the latter mixture produced less damage to specimens mounted on a very thin, fragile holey carbon substrate.
EFFORT-PRECISION AND GAIN-RECALL BASED ON A PROBABILISTIC NAVIGATION MODEL Integrating Post-Query Navigation within a Measure of Retrieval Effectiveness

Traditional evaluation of retrieval systems is based on implicit assumptions about the users’ interaction with the system. It is assumed that the user is presented with the ranked results and examines the documents one after the other in the order they are listed. In this paper we argue that such a model is obsolete in the case of the Web and structured document retrieval, where navigation is an integral part of the user’s search strategy. We advocate that post-query navigation needs to be reflected in the evaluation framework. We substantiate our proposal with the evidence of post-query navigation from user studies and discuss examples of systems that have been developed with the consideration of the user’s browsing behaviour. In order to capture retrieval effectiveness for query and navigation based search, we introduce a measure of retrieval effectiveness that comprises a probabilistic model of the users’ post-query navigation.
Understanding the structure, experiences and challenges of social support for older lesbian, gay and bisexual people: a systematic review

Abstract The psycho-social contexts of older lesbian, gay and bisexual (LGB) individuals suggest that they may face unique strengths and barriers in accessing social support. The present review aimed to explore what is known about this by providing a synthesis of this area of research and a methodological critique. The Applied Social Sciences Index (ASSIA), Psychinfo and Medline databases were searched and 22 relevant articles were identified. Key findings were extracted and quality was assessed using a standardised rating scale. The findings indicated that although many older LGB people report similar-sized support networks to older heterosexuals, more support came from friends and less from biological family members. Many reported not receiving enough support; it is possible that differences in care-giving between friends and family and anticipated social support difficulties due to previous LGB-stigma experiences partially account for this. Current recruitment strategies may mean that more-connected older LGB people are over-represented in research. There is a lack of research with the ‘old-old’ population, bisexual people, those with significant health needs, those outside the United States of America and those with additional characteristics associated with discrimination. Practical and research implications are discussed and it is suggested that friendship–carer dyads may need support to have more explicit discussions about care-giving roles due to a lack of societal templates for these kinds of relationships.
Extreme Programming: Rapid Development for Web-Based Applications

Agile processes like extreme programming (XP), Scrum, Crystal, and adaptive software development aim to increase a software organization's responsiveness while decreasing development overhead. They focus on delivering executable code and see people as the strongest ingredient of software development. We offer an overview of the philosophy and practice behind XP, which is currently the most popular agile methodology.
A New Backoff Algorithm Based on the Dynamic Modulating Parameters of IEEE 802.11

In this paper, a new backoff algorithm based on the dynamic modulating parameters was presented after the analysis of Binary Exponential Backoff (BEB) and Multiplicative Increase Linear Decrease (MILD) backoff algorithm of the IEEE 802.11 protocol. The new backoff algorithm reflected slot utilization to transmission probability in the wireless channel, making a average filter of every twice sending slot and changing sending priority of the re-node in the network to modulate the backoff collision window of the nodes, which reduced the network collision effectively and improved the use of wireless channel. It reduced the time delay greatly. The simulation results show that, the new backoff algorithm can estimate the current network competition more accurately, decrease the network time delay effectively, and make a better network performance.
The Heterogeneity and Dynamics of Individual Labor Supply over the Life-Cycle: Facts and Theory

This paper has three contributions. First, we document various facts about the labor supply decisions of men and women in the US over their life-cycle. For cohorts of male and female individuals in the PSID, we study the life-cycle profile of average hours worked, the variance of log hours, and the fraction of individuals with positive hours worked during the year. In addition, we analyze the persistence in labor force participation and hours worked over the life-cycle. Second, we build a model which is consistent with the facts, and explore the relationship between individual and aggregate labor supply. Third, we use the model to study the impact of various policies, such as a tax reform, on individual and aggregate labor supply.