Miracle-dz/UniFAR-FTUs huggingface dataset:
See through walls with WiFi!

Wi-Fi signals are typically information carriers between a transmitter and a receiver. In this paper, we show that Wi-Fi can also extend our senses, enabling us to see moving objects through walls and behind closed doors. In particular, we can use such signals to identify the number of people in a closed room and their relative locations. We can also identify simple gestures made behind a wall, and combine a sequence of gestures to communicate messages to a wireless receiver without carrying any transmitting device. The paper introduces two main innovations. First, it shows how one can use MIMO interference nulling to eliminate reflections off static objects and focus the receiver on a moving target. Second, it shows how one can track a human by treating the motion of a human body as an antenna array and tracking the resulting RF beam. We demonstrate the validity of our design by building it into USRP software radios and testing it in office buildings.
Bacterial Symbioses and the Innate Immune Response of the Model Host: Euprymna scolopes

Maritalea sp. RANG is the first rhizobial isolate from the accessory nidamental gland of Euprymna scolopes. Presented here are features from a 3.4Mb assembly of its genome Methods, Results, Discussion The accessory nidamental gland (ANG) of cephalopods is dominated by Alphaproteobacteria. The ANG of Euprymna scolopes is no exception, with members of the Phaeobacter genus being the most abundant. While genomes of several of these have been sequenced, no genomes yet exist for the minority constituents of the ANG consortium, which include members of the Rhizobiales. The isolate Maritalea sp. RANG was isolated on a plate of Reasoner’s 2A agar supplemented with sea salts and potassium nitrate and incubated anaerobically. The full-length 16S gene was sequenced and compared with 454 metagenomic 16S fragments which showed >98% identity to several of the reads, suggesting that this isolate is representative of the Rhizobia population within the ANG. When compared to characterized isolates, it had 97.6% identity to Maritalea porphyrae, originally isolated from red algae (215) and was given the preliminary designation as a member of the Maritalea genus. The genome of Maritalea sp. RANG was sequenced by creating an Illumina Nextera-XT library and sequenced on a MiSeq Sequencer using 2 x 250 (Illumina, San Diego, CA). This resulted in 933, 244 reads which was assembled in to a 3.4 mB genome in 107 contigs using the CLC Genomic Workbench (CLC, Aarhus, Denmark) with approximately 68x coverage. 90% of the genome is contained in a single 3mB
Paragraph-Parallel based Neural Machine Translation Model with Hierarchical Attention

Neural Machine Translation (NMT) has achieved great developments in recent years, but we still have to face two challenges: establishing a high-quality corpus and exploring optimal parameters of models for long text translation. In this paper, we first attempt to set up a paragraph-parallel corpus based on English and Chinese versions of the novels and then design a hierarchical attention model for it to handle these two challenges. Our encoder and decoder take segmented clauses as input to process the words, clauses, paragraphs at different levels, particularly with a two-layer transformer to capture the context from both source and target languages. The output of the model based on the original transformer is used as another level of abstraction, conditioning on its own previous hidden states. During this process, inter-clause and intra-clause contexts from source and target sides are introduced for translation prediction and both encoder and decoder can profit from contexts in complementary ways. Experimental results show that our hierarchical attention model significantly outperforms six competitive baselines, including ensembles.
ARTIFICIAL INTELLIGENCE AND NEURAL NETWORKS THE LEGACY OF ALAN TURING AND JOHN VON NEUMANN

The work of Alan Turing and John von Neumann on machine intelligence and artificial automata is reviewed. Turing's proposal to create a child machine with the ability to learn is discussed. Von Neumann had doubts that with teacher based learning it will be possible to create artificial intelligence. He concentrated his research on the issue of complication, probabilistic logic, and self-reproducing automata. The problem of creating artificial intelligence is far from being solved. In the last sections of the paper I review the state of the art in probabilistic logic, complexity research, and transfer learning. These topics have been identified as essential components of artificial intelligence by Turing and von Neumann.
Generalized optimal placement of PMUs considering power system observability, communication infrastructure, and quality of service requirements

This paper presents a generalized optimal placement of Phasor Measurement Units (PMUs) considering power system observability, reliability, Communication Infrastructure (CI), and latency time associated with this CI. Moreover, the economic study for additional new data transmission paths is considered as well as the availability of predefined locations of some PMUs and the preexisting communication devices (CDs) in some buses. Two cases for the location of the Control Center Base Station (CCBS) are considered; predefined case and free selected case. The PMUs placement and their required communication network topology and channel capacity are co-optimized simultaneously. In this study, two different approaches are applied to optimize the objective function; the first approach is combined from Binary Particle Swarm Optimization-Gravitational Search Algorithm (BPSOGSA) and the Minimum Spanning Tree (MST) algorithm, while the second approach is based only on BPSOGSA. The feasibility of the proposed approaches are examined by applying it to IEEE 14-bus and IEEE 118-bus systems.
Submodularity in Combinatorial Optimization

2007 Preface This a continually updated version of my second PhD thesis, submitted to the Department of Applied Mathematics at Charles University. It serves mainly for myself as a compendium of my research on submodular optimization and related problems, Acknowledgement This thesis would not have seen the light of day without the support and perseverance of Martin Loebl, and significant assistance of several others. I would like to thank first and foremost Uriel Feige for introducing me to this subject and being a wonderful guide. I am also grateful to Chandra Chekuri for enlightening conversations and bringing my attention to one of the topics presented here. Let me not forget Gruia Calinescu, Mohammad Mahdian, Vahab Mirrokni, Benny Sudakov and others who have been very helpful in their discussions. Most of this work has been published together with some of the co-authors mentioned above; the copyright belongs to the respective periodicals.
Giant Cell Myocarditis: Case Review

Introduction: Although giant cell myocarditis (GCM) is a rare, potentially fatal disease but its true prevalence is likely to be underestimated. GCM can lead to progressive heart failure, fatal ventricular arrhythmia and atrio-ventricular block. Case Presentation: The present report describes three cases of biopsy-proven GCM with clinical presentation including arrhythmia and heart failure. All patients were treated with immunosuppressant drugs. Conclusions: Arrhythmia and symptoms of heart failure with immunosuppression had a relative improvement in three patients.
Use case analysis for supporting flow mobility in DMM

Distributed Mobility Management (DMM) allows network traffic to distribute among multiple mobility anchors which have mobility functions to solve the existing problems in current centralized mobility protocols. There are many DMM approaches extending network- based mobility protocols (e.g. Proxy Mobile IPv6). In Proxy Mobile IPv6 (PMIPv6), they allow a mobile node to connect to PMIPv6 domain through different physical interfaces. In this reason, flow mobility that enables movement between physical interfaces of mobile node is proposed. In this document, we present some use cases to support flow mobility in DMM domain and analyze some problems. These use cases are based on scenarios of flow mobility in PMIPv6. In these scenarios, a multi-interface mobile node connects to different distributed mobility access points and move specific flows from one interface to another. These use cases have common issues which will be analyzed in detail.
PVHArray: An Energy-Efficient Reconfigurable Cryptographic Logic Array With Intelligent Mapping

This article presents a coarse-grained reconfigurable cryptographic logic array named PVHArray and an intelligent mapping algorithm for cryptographic algorithms. We propose three techniques to improve energy efficiency without affecting performance. First, the coarse-grained pipeline variable reconfigurable operation units balance the system critical path delay and number of algorithm operations to ensure the best performance. Second, the hierarchical interconnect network overcomes the shortcomings of a single network, providing PVHArray with good interconnectivity and scalability while managing the network hardware resource overhead. Third, the distributed control network supports accurate period-oriented control with a lightweight hardware structure, preserving hardware resources for other performance enhancements. We combine these advances with deep learning to propose a type of smart ant colony optimization mapping algorithm to improve algorithm mapping performance. We implemented our PVHArray on a 12.25 mm2 silicon square with 55-nm CMOS technology, with each algorithm working at its optimum frequency. Experiments show that PVHArray improved performance by about 12.9% per unit area and 13.9% per unit power compared with the reconfigurable cryptographic logic array REMUS_LPP and other state-of-the-art cryptographic structures. For cryptographic algorithm mapping, our smart ant colony optimization (SACO) algorithm reduced compilation time by nearly 38%. Finally, PVHArray supports a variety of types of cryptographic algorithms.
FrSemCor: Annotating a French Corpus with Supersenses

French, as many languages, lacks semantically annotated corpus data. Our aim is to provide the linguistic and NLP research communities with a gold standard sense-annotated corpus of French, using WordNet Unique Beginners as semantic tags, thus allowing for interoperability. In this paper, we report on the first phase of the project, which focused on the annotation of common nouns. The resulting dataset consists of more than 12,000 French noun occurrences which were annotated in double blind and adjudicated according to a carefully redefined set of supersenses. The resource is released online under a Creative Commons Licence.
A data estimation for failing nodes using fuzzy logic with integrated microcontroller in wireless sensor networks

Continuous data transmission in wireless sensor networks (WSNs) is one of the most important characteristics which makes sensors prone to failure. a backup strategy needs to co-exist with the infrastructure of the network to assure that no data is missing. The proposed system relies on a backup strategy of building a history file that stores all collected data from these nodes. This file is used later on by fuzzy logic to estimate missing data in case of failure. An easily programmable microcontroller unit is equipped with a data storage mechanism used as cost worthy storage media for these data. An error in estimation is calculated constantly and used for updating a reference “optimal table” that is used in the estimation of missing data. The error values also assure that the system doesn’t go into an incremental error state. This paper presents a system integrated of optimal data table, microcontroller, and fuzzy logic to estimate missing data of failing sensors. The adapted approach is guided by the minimum error calculated from previously collected data. Experimental findings show that the system has great potentials of continuing to function with a failing node, with very low processing capabilities and storage requirements.
Biaffine 한국어 의존파서

Dependency parsing is an important task in natural language processing whose results are used in many downstream tasks such as machine translation, information retrieval, relation extraction, question answering and many others. Most of the dependency parsing literature focuses on using end-to-end and sequence-to-sequence neural architectures as the core of the system. One such system, namely Biaffine dependency parser is explored in the current paper for effective dependency parsing of Korean language
Indole Monoterpenes with Antichemotactic Activity from Psychotria myriantha: Chemotaxonomic Significance

The alkaloid extract of the aerial parts of Psychotria myriantha (Rubiaceae) displayed antichemotactic activity on polymorphonuclear leukocytes (PMN) assessed by the Boyden chamber assay. On analysis of the crude extract by LC/APCI/MS and LC/UV/DAD, two major constituents could be detected. In order to rapidly identify the active compounds, a microfractionation was conducted during LC/UV/DAD analysis. By this means, both the collected compounds could be assayed separately in the Boyden chamber and were shown to inhibit PMN chemotaxis. Their isolation was performed by semi-preparative HPLC and their structures elucidated by classical spectroscopic methods, including UV, NMR, MS and HRMS. Both compounds showed characteristics of monoterpene indole glucoside alkaloids; one of them was identified as strictosidinic acid and the other was a new natural product, myrianthosine. The antichemotactic activity of the compounds may be related to an antiacute inflammation activity.
Feature selection for text classification with Naive Bayes

: The work presents the ﬁeld of document classiﬁcation. It describes existing techniques with emphasis on the Naive Bayes’ classiﬁer. Several existing feature selection methods suitable for the Naive Bayes’ classiﬁer are discussed. This theoretical background is the basis for the implementation of a classiﬁcation library based on the Naive Bayes’ method. Besides the classiﬁcation program, the library provides a range of document preprocessing tools. They allow to work with diﬀerent types of documents and, more importantly, they signiﬁcantly reduce redundant document dimensions. Eventually, we tested the library on two diﬀerent datasets and compared implemented feature selection methods. The functionality of the whole library is practically veriﬁed by including it into the open-source email client Mailpuccino.
Process Chain for Numerical Simulation of IMLS

Abstract Reviewed, accepted September 5, 2007 Additive layer manufacturing methods imply, among other advantages, extensive flexibility concerning their ability to realize mass customization. Despite various efforts towards process enhancement, numerous deficiencies concerning part distortion or residual stresses are still observable. The present work deals with the definition of an efficient process chain for numerical simulation of indirect metal laser sintering (IMLS), in order to improve dimensional accuracy. The underlying method is based on investigations of dilatometric behavior of iron based powder, which is integrated into reaction kinetic models and coupled with a finite element analysis (FEA). Thus, singular process steps, e. g. solid phase sintering, phase transformations or infiltration, are numerically modelled with adequate accuracy. Referring to thermomechanical simulation, possibilities for pre-scaling of part geometries are presented.
The Plant Mediator Complex in the Transcriptional Response to Low Temperature.

SENSITIVE TO FREEZING6 (SFR6) is the MEDIATOR16 (MED16) subunit of the plant Mediator complex and is shown here to be required for the recruitment of Pol II and the Mediator complex to cold-inducible C-repeat binding factor (CBF)-controlled genes. In addition, the MED2 and MED14 subunits are also required for Pol II recruitment to these genes. Mutant lines impaired in expression of SFR6/MED16, MED2 and MED14 subunits showed impaired expression of many, but not all cold-inducible genes. Some cold-inducible genes that do not contain C-repeat element (CRT) motifs in their promoters were also misregulated in sfr6/med16, mediator2 (med2) and mediator14 (med14) mutant lines but Pol II recruitment was not impaired, unlike the situation for CRT-containing genes. Expression of cold-inducible genes was not impaired in all of the Mediator tail subunit mutant lines tested; NRB4/MED15 mutants were not impaired in their expression of cold-inducible genes but preliminary result suggested that this subunit might be involved in UV-induced gene expression. In addition to their role in the transcriptional response to cold, both SFR6/MED16 and MED14 subunits were shown to be required for the expression of known CBF-controlled cold-inducible genes in response to sugar, but the MED2 subunit was not. Preliminary experiments conducted on CDK-8 domain subunit mutant lines, CYCC and CDK8, indicated that the CDK-8 domain may not function solely as a transcriptional repressor but may be required for expression of dark- and UV-inducible genes. Together, these data illustrate that transcriptional control in plants is achieved through the combined action of subsets of Mediator subunits that are defined by the stimulus and the particular gene investigated.
An improved illumination model for shaded display

To accurately render a scene, global illumination information that affects the intensity of each pixel of the image must be known at the time the intensity is calculated. In a simplified form, this information is stored in a tree of “rays” extending from the viewer to the first surface encountered and from there to other surfaces and to the light sources. The visible surface algorithm creates this tree for each pixel of the display and passes it to the shader. The shader then traverses the tree to determine the intensity of the light received by the viewer. Consideration of all of these factors allows the shader to accurately simulate true reflection, shadows, and refraction as well as the effects simulated by conventional shaders. Anti-aliasing is included as an integral part of the visibility calculations. Surfaces displayed include curved as well as polygonal surfaces.
Role of extended Vs conventional echocardiographic parameters to quantify severity of aortic stenosis

AIMS : The objective of the study was to evaluate left ventricular (LV) strain by speckle tracking imaging and plasma NT-ProBNP in patients with moderate to severe aortic valve stenosis (AS). METHODS : Thirty-three patients with isolated AS with preserved ejection fraction (EF) and ten controls underwent assessment of symptoms, transthoracic echocardiography and measurement of plasma levels of NT-ProBNP.LV Strain and plasma NT-ProBNP were analysed to find differences and correlation with conventional echocardiographic parameters and clinical variables. These parameters were also studied for their strength to predict symptomatic status in these patients. RESULTS : Global longitudinal (GLS), global area (GAS) and global radial (GRS) strains were lower in patients with aortic stenosis (n=33; Median -13.0,-26.0 and 40.0 ,respectively) compared to controls (n=10; Median -20.4 ,-31.5 and 49.5,respectively;p <0.001 ,0.02 and 0.01 respectively). GLS,GAS and GRS were also lower in severe AS patients (n=27 ;Median -12.6,-25.0 and – 38.0,respectively) compared to moderate AS patients (n=6;Medain -19.8,-32.5 and 52.5 respectively; p=0.02,0.01 and0.03 respectively). GLS,GAS and GCS were lower in symptomatic (n=21;Median -11.6,-25.0 and 38.0 ) compared to asymptomatic (n=12;Median -16.45,-29.5 and 47.0 respectively; p=0.001,0.005 and 0.018 respectively) patients. Global circumferential strain (GCS) did not differ significantly between controls and AS patients or between subgroups of AS. There was a regional difference in strain with longitudinal strain in basal segments being decreased with preserved apical segmental longitudinal strain. Plasma NT-ProBNP was higher in AS patients (Median 628.00 pg/ml) compared to controls (80.82 pg/ml; p<0.001). NT-ProBNP was higher in severe AS (Median 614.0 pg/ml) patients compared to moderate AS patients (Median 118.9 pg/ml) and symptomatic (Median 1191.0 pg/ml ) compared to asymptomatic (Median 118.9 pg/ml) patients. Absolute value of GLS correlated strongly with LV mass index (r= -0.70; p<0.001) and NT-ProBNP correlated strongly with LA volume index (r= 0.74; p<0.001). Log-transformed NT-ProBNP correlated well with GLS (r= -0.63; p<0.001). Of all the variables NT-ProBNP was the best predictor of symptomatic status ; cut-off of 190.95 pg/ml has sensitivity of 90.5% and specificity of 91.7%. NT-ProBNP cut-off for predicting severe AS was 141.50 pg/ml with a sensitivity of 88.9% and specificity of 83.3%. CONCLUSIONS : LV strain, especially GLS and plasma NT-ProBNP are affected early in patients with AS before the onset of symptoms and deterioration of LV function. Measurement of these variables to assess aortic stenosis patients may complement clinical and echocardiographic evaluation of these patients.
Analyzing Wikipedia Users’ Perceived Quality of Experience: A Large-Scale Study

The Web is one of the most successful Internet applications. Yet, the quality of Web users’ experience is still largely impenetrable. Whereas Web performance is typically studied with controlled experiments, in this work we perform a large-scale study of a real site, Wikipedia, explicitly asking (a small fraction of its) users for feedback on the browsing experience. The analysis of the collected feedback reveals that 85% of users are satisfied, along with both expected (e.g., the impact of browser and network connectivity) and surprising findings (e.g., absence of day/night, weekday/weekend seasonality) that we detail in this paper. Also, we leverage user responses to build supervised data-driven models to predict user satisfaction which, despite including state-of-the art quality of experience metrics, are still far from achieving accurate results (0.62 recall of negative answers). Finally, we make our dataset publicly available, hopefully contributing in enriching and refining the scientific community knowledge on Web users’ QoE.