Miracle-dz/UniFAR-FTUs huggingface dataset:
ARdoc: app reviews development oriented classifier

Google Play, Apple App Store and Windows Phone Store are well known distribution platforms where users can download mobile apps, rate them and write review comments about the apps they are using. Previous research studies demonstrated that these reviews contain important information to help developers improve their apps. However, analyzing reviews is challenging due to the large amount of reviews posted every day, the unstructured nature of reviews and its varying quality. In this demo we present ARdoc, a tool which combines three techniques: (1) Natural Language Parsing, (2) Text Analysis and (3) Sentiment Analysis to automatically classify useful feedback contained in app reviews important for performing software maintenance and evolution tasks. Our quantitative and qualitative analysis (involving mobile professional developers) demonstrates that ARdoc correctly classifies feedback useful for maintenance perspectives in user reviews with high precision (ranging between 84% and 89%), recall (ranging between 84% and 89%), and F-Measure (ranging between 84% and 89%). While evaluating our tool developers of our study confirmed the usefulness of ARdoc in extracting important maintenance tasks for their mobile applications. Demo URL: https://youtu.be/Baf18V6sN8E Demo Web Page: http://www.ifi. uzh.ch/seal/people/panichella/tools/ARdoc.html
Permeation and Block of the Skeletal Muscle Chloride Channel, ClC-1, by Foreign Anions

A distinctive feature of the voltage-dependent chloride channels ClC-0 (the Torpedo electroplaque chloride channel) and ClC-1 (the major skeletal muscle chloride channel) is that chloride acts as a ligand to its own channel, regulating channel opening and so controlling the permeation of its own species. We have now studied the permeation of a number of foreign anions through ClC-1 using voltage-clamp techniques on Xenopus oocytes and Sf9 cells expressing human (hClC-1) or rat (rClC-1) isoforms, respectively. From their effect on channel gating, the anions presented in this paper can be divided into three groups: impermeant or poorly permeant anions that can not replace Cl− as a channel opener and do not block the channel appreciably (glutamate, gluconate, HCO3 −, BrO3 −); impermeant anions that can open the channel and show significant block (methanesulfonate, cyclamate); and permeant anions that replace Cl− at the regulatory binding site but impair Cl− passage through the channel pore (Br−, NO3 −, ClO3 −, I−, ClO4 −, SCN−). The permeability sequence for rClC-1, SCN− ∼ ClO4 − > Cl− > Br− > NO3 − ∼ ClO3 − > I− >> BrO3 − > HCO3 − >> methanesulfonate ∼ cyclamate ∼ glutamate, was different from the sequence determined for blocking potency and ability to shift the P open curve, SCN− ∼ ClO4 − > I− > NO3 − ∼ ClO3 − ∼ methanesulfonate > Br− > cyclamate > BrO3 − > HCO3 − > glutamate, implying that the regulatory binding site that opens the channel is different from the selectivity center and situated closer to the external side. Channel block by foreign anions is voltage dependent and can be entirely accounted for by reduction in single channel conductance. Minimum pore diameter was estimated to be ∼4.5 Å. Anomalous mole-fraction effects found for permeability ratios and conductance in mixtures of Cl− and SCN− or ClO4 − suggest a multi-ion pore. Hydrophobic interactions with the wall of the channel pore may explain discrepancies between the measured permeabilities of some anions and their size.
Contingency ranking for voltage collapse via sensitivities from a single nose curve

The change in the loading margin to voltage collapse when line outages occur is estimated. First a nose curve is computed by continuation to obtain a nominal loading margin. Then linear and quadratic sensitivities of the loading margin to each contingency are computed and used to estimate the resulting change in the loading margin. The method is tested on a critical area of a 1390 bus system and all the line outages of the IEEE 118 bus system. The results show the effective ranking of contingencies and the very fast computation of the linear estimates.
BRIDGING THE GAP: THE ROLE OF SHARED GROUP MEMBERSHIP IN STATUS GENERALIZATION

This paper extends earlier work examining the relationship between status and group membership as sources of influence. It is argued that shared group membership facilitates status generalization, the carrying over of status in one domain to influence in another unrelated domain. In the first experiment, where interaction partners were differentiated by a highly relevant task ability, the partners’ group membership (same or different) had no effects on influence. In the second experiment, partners with a high level of relevant task ability were equally influential regardless of group membership, but partners with high ability on an irrelevant task were more influential if they were ingroup members than if they were not. Findings are discussed in relation to status characteristics theory and the concept of social status.
A polarity-based strategy for ranking social media reviews

The Opinion Mining methods are widely used to analyse and classify the choices, preferences and behaviours of consumers through the opinions gathered on theWeb. On social media like TripAdvisor such opinions are usually expressed with a score and a short text. This paper proposes a strategy for ranking reviews using a scale based jointly on the rating and on the text of the reviews.
A Multi-particle model of the 3C 48 host

The first successful multi-particle model for the host of the well-known quasi-stellar object (QSO) 3C 48 is reported. It shows that the morphology and the stellar velocity field of the 3C 48 host can be reproduced by the merger of two disk galaxies. The conditions of the interaction are similar to those used for interpreting the appearance of the Antennae (NGC 4038/39) but seen from a different viewing angle. The model supports the controversial hypothesis that 3C 48A is the second nucleus of a merging galaxy, and it suggests a simple solution for the problem of the missing counter tidal tail.
Source failure recovery for optical multicast traffic in WDM networks

Most current research activities in the field of optical multicast traffic protection are mainly directed to link failure recovery and (intermediate) node failure recovery. Even with the guarantee of link failure recovery and (intermediate) node failure recovery, optical multicast traffic is still threatened by the catastrophic damage of source failures. Thus, we recently investigated flow p-cycle based dual-source protection approach for source failure recovery on top of combined node and link failure recovery. Results indicated that flow p-cycle based dual-source multicast protection approach outperforms the extended optimal path pair based dual-source approach in capacity efficiency.
Risk of Coronary Heart Disease in Different Criterion of Impaired Fasting Glucose

AbstractThe cut-point for diagnosing impaired fasting glucose (IFG) had been dispute, as reports about the associated clinical events are inconsistent. This meta-analysis evaluated the risk of coronary heart disease (CHD) in association with different criterion of IFG according to the American Diabetes Association (ADA) or the World Health Organization (WHO) Expert Group. We included prospective cohort studies with multivariate-adjusted data on IFG and CHD for analysis. The relative risks (RRs) of CHD were calculated and reported with 95% confidence intervals (95% CIs). Seventeen prospective cohort studies, comprising 527,021 individuals were included. The risks of CHD were increased in both participants with IFG defined as the ADA or WHO criterion (RR 1.11, 95% CI 1.02–1.21; and RR 1.18, 95% CI 1.10–1.28, respectively). Subgroup analyses showed that in both definition of IFG, the risk of CHD was only increased in studies with possibility of enrolling patients with increased 2 hours plasma glucose (2-h PG), or in studies with inadequate adjustment, but not in studies excluded participants with increased 2-h PG or in those with adequate adjustment of other risk factors. Our meta-analysis demonstrates that the presence of IFG was significantly associated with future risk of CHD. The risk of CHD was increased when fasting plasma glucose was as low as 100 mg/dL according to the lower cut-point of IFG by the ADA criterion. However, the risk maybe confounded by the undetected increased 2-h PG or other cardiovascular risk factors.
Lecture 18 Lecturer

In this lecture we present the relatively recent fundamental result of O. Reingold [3] which establishes that undirected st-connectivity can be decided in deterministic logarithmic space. Given an undirected graph G, two vertices s and t in G, USTCON(G, s, t) is the problem of deciding whether there exists a path in G connecting s and t. The more difficult, directed graph version of this problem is known to be NL-complete, and thus in L by Savitch’s theorem. Prior to the Reingold result, USTCON was known to be in RL [1], and later ([2]) in log . Also, USTCON is a complete problem for the mysterious class SL (symmetric, non-deterministic, log space computations), and therefore USTCON∈ L implies SL=L.
Motion Classiication in Digital Video

In this paper experimental results are presented for classifying camera motion classes in digital video. The research focused on the use of 2D-pixel motion elds, or ow elds, between image frames. These ow elds can be calculated with optical ow or correlation matching. The Karhunen-Loe ve transform (KLT), based on statistical properties, insures extraction of optimal linear features from ow elds representing a particular motion class. Two methods for classiication are discussed, and experimental results for each method are presented.
An efficient code dissemination mechanism for building automation and industrial control networks

In this paper, we propose an Efficient Code Dissemination (ECoDi) mechanism providing fast dissemination through multiple starting points for building automation and industrial control networks composed of many sensor nodes. Code dissemination is in the spotlight as an important research issue since sensor nodes are necessary for updating new software remotely or fixing bugs dynamically. In particular, the time factor for code dissemination is the most important factor in order that the normal operation of nodes can be continuously performed as soon as finishing the dissemination is completed. For this factor, ECoDi determines the set of disseminators through regression analysis based on the size of distributed code and the time of past unicasts and broadcasts. Then it transmits the entire code as a unicast to multiple disseminators, and the disseminators broadcast the code to the remaining neighbor nodes immediately on receiving the first page. Performance results on our testbed show that ECoDi reduces the time of code dissemination significantly compared to a conventional code dissemination scheme. In commercial systems, it can support steady network operation with a shortened software upgrade time.
HPC-gSpan: An FPGA-based parallel system for frequent subgraph mining

Graph mining is an important research area within the domain of data mining. One of the most challenging tasks of graph mining is frequent subgraph mining. This work presents the first FPGA-based implementation, to the best of our knowledge, of the most efficient and well-known algorithm for the Frequent Subgraph Mining (FSM) problem, i.e. gSpan. The proposed system, named High Performance Computing-gSpan (HPC-gSpan), achieves manyfold speedup vs. the official software solution of the gboost library when executed on a high-end CPU for various real-world datasets.
Photoacoustic imaging: A potential new tool for diagnosing vasculogenic erectile dysfunction

Erectile dysfunction (ED) is a frequent disorder in aging men, affecting men's physical and mental health seriously. Generally, clinical diagnosis of the physical ED need image of penile vessels to distinguish vasculogenic ED disorders from psychological disorders so as to determine an appropriate treatment. The aim of this study is to present a novel photoacoustic microscopy (PAM) for imaging of vasculogenic ED with a high resolution and a high sensitivity. In this work, a vessel phantom using a carbon pencil and ten animals' penis models isolated from health rats both were prepared carefully. A home-made PAM platform was builted for rat's penile vessels, and the corresponding two dimensional (2D) PAM image was obtained for each model. Particularly, an imaging capability of a high spatial resolution of five hundreds microns with high contrast was obtained. The preliminary imaging results of isolated penis vessel clearly indicated that the method of photoacoustic imaging would be a useful diagnostic tool for assessing vasculogenic ED and could improve the diagnosis of venous leakage visualization by combining structural and functional imaging.
A Miniaturized Antenna with Negative Index Metamaterial Based on Modified SRR and CLS Unit Cell for UWB Microwave Imaging Applications

A miniaturized antenna employing a negative index metamaterial with modified split-ring resonator (SRR) and capacitance-loaded strip (CLS) unit cells is presented for Ultra wideband (UWB) microwave imaging applications. Four left-handed (LH) metamaterial (MTM) unit cells are located along one axis of the antenna as the radiating element. Each left-handed metamaterial unit cell combines a modified split-ring resonator (SRR) with a capacitance-loaded strip (CLS) to obtain a design architecture that simultaneously exhibits both negative permittivity and negative permeability, which ensures a stable negative refractive index to improve the antenna performance for microwave imaging. The antenna structure, with dimension of 16 × 21 × 1.6 mm3, is printed on a low dielectric FR4 material with a slotted ground plane and a microstrip feed. The measured reflection coefficient demonstrates that this antenna attains 114.5% bandwidth covering the frequency band of 3.4–12.5 GHz for a voltage standing wave ratio of less than 2 with a maximum gain of 5.16 dBi at 10.15 GHz. There is a stable harmony between the simulated and measured results that indicate improved nearly omni-directional radiation characteristics within the operational frequency band. The stable surface current distribution, negative refractive index characteristic, considerable gain and radiation properties make this proposed negative index metamaterial antenna optimal for UWB microwave imaging applications.
XMM—Newton observations of two hyperluminous IRAS galaxies: Compton-thick quasars with obscuring starbursts

We present XMM-Newton observations of two hyperluminous IRAS galaxies (L B o l > 10 1 3 h - 2 5 0 L O .), neither of which were previously detected by ROSAT. Published models of the infrared spectral energy distributionsimply that a starburst and obscured quasar contribute equally to the power of each source. IRAS F12514+1027 (z = 0.30) is detected in 18.6 ks with 130 EPIC-pn counts over 0.2-12 keV. The soft X-ray spectrum exhibits thermal emission from the starburst, with T ≃ 0.3 keV and L (0.5-2.0 keV) =2.1 x 10 4 2 erg s - 1 . With its Fe K-edge, the flat continuum above 2 keV is interpreted as cold reflection from a hidden AGN of intrinsic L (2-10 keV) ≥ 1.8 × 10 4 4 ergs - 1 . Comparison with the infrared power requires that the X-ray reflector subtend ∼2π/5 sr at the central engine. IRAS F00235+1024 (z = 0.575) is not detected by the EPIC-pn in 15.9 ks; the limits imply that the starburst is X-ray weak, and (for the AGN) that any hard X-ray reflector subtend 1.5 x 10 2 4 cm - 2 ), and the presence of a reflection component in F12514+1027, but not in F00235+1024, suggests that the AGN in the latter object is more completely obscured. This is consistent with their Seyfert-2 and starburst optical spectra, respectively.
Pricing of Options on Commodity Futures with Stochastic Term Structures of Convenience Yields and Interest Rates

Abstract We develop a model to value options on commodity futures in the presence of stochastic interest rates as well as stochastic convenience yields. In the development of the model, we distinguish between forward and future convenience yields, a distinction that has not been recognized in the literature. Assuming normality of continuously compounded forward interest rates and convenience yields and log-normality of the spot price of the underlying commodity, we obtain closed-form solutions generalizing the Black-Scholes/Merton's formulas. We provide numerical examples with realistic parameter values showing that both the effect of introducing stochastic convenience yields into the model and the effect of having a short time lag between the maturity of a European call option and the underlying futures contract have significant impact on the option prices.
Movie Recommendation using Random Walks over the Contextual Graph

Recommender systems have become an essential tool in ﬁght-ing information overload. However, the majority of recommendation algorithms focus only on using ratings information, while disregarding information about the context of the recommendation process. We present ContextWalk , a recommendation algorithm that makes it easy to include different types of contextual information. It models the browsing process of a user on a movie database website by taking random walks over the contextual graph. We present our approach in this paper and highlight a number of future extensions with additional contextual information.
Web Services Dynamic Discovery Based on Modified CLIQUE Algorithm

Web services have been considered as an effective method to create unprecedented opportunities for organizations to establish more agile and versatile collaborations with other organizations. But services dynamic discovery is one of factors not only tiring consumers but also preventing them from enjoying high quality of service. It is one of key issues in services dynamic discovery how to select the high quality of Web service with similar or same functionalities. This paper provides a novel approach based on a modified CLIQUE algorithm to discover desired Web services. In the method, some Web services with the similar or same function are classified by the index of service quality. The paper adopt key performance index (KPI) as the index of service quality.
Modern B-tree techniques

In summary, the core design of B-trees has remained unchanged in 40 years: balanced trees, pages or other units of I/O as nodes, efficient root-to-leaf search, splitting and merging nodes, etc. On the other hand, an enormous amount of research and development has improved every aspect of B-trees including data contents such as multi-dimensional data, access algorithms such as multi-dimensional queries, data organization within each node such as compression and cache optimization, concurrency control such as separation of latching and locking, recovery such as multi-level recovery, etc. Gray and Reuter believed in 1993 that “B-trees are by far the most important access path structure in database and file systems. ” It seems that this statement remains true today. B-tree indexes are likely to gain new importance in relational databases due to the advent of flash storage. Fast access latencies permit many more random I/O operations than traditional disk storage, thus shifting the break-even point between a full-bandwidth scan and a B-tree index search, even if the scan has the benefit of columnar database storage. We hope that this tutorial of B-tree techniques will stimulate research and development of modern B-tree indexing techniques for future data management systems.
Multiview RGB-D Dataset for Object Instance Detection

This paper presents a new multi-view RGB-D dataset of nine kitchen scenes, each containing several objects in realistic cluttered environments including a subset of objects from the BigBird dataset. The viewpoints of the scenes are densely sampled and objects in the scenes are annotated with bounding boxes and in the 3D point cloud. Also, an approach for detection and recognition is presented, which is comprised of two parts: (i) a new multi-view 3D proposal generation method and (ii) the development of several recognition baselines using AlexNet to score our proposals, which is trained either on crops of the dataset or on synthetically composited training images. Finally, we compare the performance of the object proposals and a detection baseline to the Washington RGB-D Scenes (WRGB-D) dataset and demonstrate that our Kitchen scenes dataset is more challenging for object detection and recognition. The dataset is available at: http://cs.gmu. edu/~robot/gmu-kitchens.html.
Supporting AUV localisation through next generation underwater acoustic networks: Results from the field

This work describes how the localisation of autonomous underwater vehicles can be supported through networked acoustic communication. The localisation approach includes timing information within acoustic messages to create an interrogation scheme similar to that of long-baseline methods, but realised at the application level of the network. In this way, the network itself is able to provide vehicle localisation information, reducing the needs for additional on-board sensors or dedicated deployed platforms/transponders. The aim of this work is to report at sea localisation results as obtained in two completely different application scenarios. The first one is represented by the FP7 MORPH project (HORTA15 sea trial) where the proposed approach has been applied to support navigation of a fleet of AUVs in a tight formation and in very shallow waters. The second application is represented by the NATO STO CMRE multistatic network demonstrator with the acoustic network used to support navigation of AUVs working in large operational areas. In this latter case, results are given from the COLLAB-NGAS14 experimental campaign.
Joint Markov Blankets in Feature Sets Extracted from Wavelet Packet Decompositions

Since two decades, wavelet packet decompositions have been shown effective as a generic approach to feature extraction from time series and images for the prediction of a target variable. Redundancies exist between the wavelet coefficients and between the energy features that are derived from the wavelet coefficients. We assess these redundancies in wavelet packet decompositions by means of the Markov blanket filtering theory. We introduce the concept of joint Markov blankets. It is shown that joint Markov blankets are a natural extension of Markov blankets, which are defined for single features, to a set of features. We show that these joint Markov blankets exist in feature sets consisting of the wavelet coefficients. Furthermore, we prove that wavelet energy features from the highest frequency resolution level form a joint Markov blanket for all other wavelet energy features. The joint Markov blanket theory indicates that one can expect an increase of classification accuracy with the increase of the frequency resolution level of the energy features.