Miracle-dz/UniFAR-FTUs huggingface dataset:
Classifying Crises-Information Relevancy with Semantics Conference or Workshop Item

Social media platforms have become key portals for sharing and consuming information during crisis situations. However, humanitarian organisations and effected communities often struggle to sieve through the large volumes of data that are typically shared on such platforms during crises to determine which posts are truly relevant to the crisis, and which are not. Previous work on automatically classifying crisis information was mostly focused on using statistical features. However, such approaches tend to be inappropriate when processing data on a type of crisis that the model was not trained on, such as processing information about a train crash, whereas the classifier was trained on floods, earthquakes, and typhoons. In such cases, the model will need to be retrained, which is costly and time-consuming. In this paper, we explore the impact of semantics in classifying Twitter posts across same, and different, types of crises. We experiment with 26 crisis events, using a hybrid system that combines statistical features with various semantic features extracted from external knowledge bases. We show that adding semantic features has no noticeable benefit over statistical features when classifying same-type crises, whereas it enhances the classifier performance by up to 7.2% when classifying information about a new type of crisis.
Minimum-Entropy Blind Acquisition/Equalization for Uplink DS-CDMA

In this paper, we consider blind estimation of linear chip-spaced receivers for the demodulation of a particular short-code DS-CDMA mobile user under multipath propagation and in the absence of timing information. We propose a family of schemes for blind acquisition and equalization based on Donoho's Minimum Entropy principle and propose a speciic algorithm that uses the second-and fourth-order moments of a pre-whitened chip-rate received signal. The proposed algorithm can be considered a near-far resistant initialization procedure for, and application of, the Constant Modulus Algorithm (CMA) to DS-CDMA.
Combination of Guided Local Search and Estimation of Distribution Algorithm for Quadratic Assignment Problems

Guided Local Search (GLS) is a general meta-heuristic that sits on top of local search algorithms and help them escape from local minima. However, GLS is often trapped in a small local area. Estimation of Distribution Algorithm(EDA) is a new evolutionary algorithm in which statistical information are explicitly extracted from the current population and then used for generating new solutions. This paper combines EDA with GLS and proposes a hybrid algorithm, called EDA/GLS for Quadratic Assignment Problems (QAP). In EDA/GLS, a novel EDAlike operator, called guided mutation is used with GLS for exploitation. A restart strategy based on statistical information is employed for exploration. Experimental results show that EDA/GLS outperforms GLS.
Research of the node-based multi-objective Vehicle Scheduling Optimization

This paper presents an approach to solve the Vehicle Scheduling Problem(VSP). Taking into the actual connectivity of paths connected to the nodes, we establish a multi-objective mathematical model based on the path length and customer waiting time. A algorithm combining the A* algorithm for path searching with the Particle Swarm Optimization(PSO) for global exploration together, is applied to the multi-objective vehicle scheduling model. Some practical problems has been solved with good results by this approach.
Btc 22 chaperone is required for secretion and stability of the type III secreted protein Bsp 22 in Bordetella bronchiseptica

The type III secretion system (T3SS) is a sophisticated protein secretion machinery that delivers bacterial virulence proteins into host cells. A needle-tip protein, Bsp22, is one of the secreted substrates of the T3SS and plays an essential role in the full function of the T3SS in Bordetella bronchiseptica. In this study, we found that BB1618 functions as a chaperone for Bsp22. The deletion of BB1618 resulted in a dramatic impairment of Bsp22 secretion into the culture supernatants and Bsp22 stability in the bacterial cytosol. In contrast, the secretion of other type III secreted proteins was not affected by the BB1618 mutation. Furthermore, the BB1618 mutant strain could not induce cytotoxicity and displayed the same phenotypes as the Bsp22 mutant strain. An immunoprecipitation assay demonstrated that BB1618 interacts with Bsp22, but not with BopB and BopD. Thus, we identified BB1618 as a specific type III chaperone for Bsp22. Therefore, we propose that BB1618 be renamed Btc22 for the Bordetella type III chaperone for Bsp22.
VLOC: An Approach to Verify the Physical Location of a Virtual Machine In Cloud

The geolocation of data stored and being processed in cloud is an important issue for many organisations due to obligations that require sensitive data to reside or be processed in particular countries. In this paper we introduce an approach, named VLOC, to verify the physical location of a virtual machine on which the customer applications and data are stored. VLOC is implemented as a software which is able to estimate the geolocation of itself and notify the corresponding user if the location is unauthorised. VLOC uses a number of arbitrary web-servers as external landmarks for localisation and employs network latency measurement for distance estimation. Due to the fluctuation in the network latency, VLOC employs a machine learning technique in order to adapt itself to various network latency tolerance. Different from most of geolocation estimation approaches, VLOC is installed inside the target host (inside the cloud). VLOC does not require special hardware nor a network of trusted landmarks. The experimental results shows the accuracy of VLOC is higher than other existing approaches.
Comment analysis for food recipe preferences

Comment Analysis for food recipe preferences is to identify user comments on the food recipes to the positive or the negative comments. The proposed method is suitable for analyzing comments or opinions about food recipes by counting the polarity words of food domain. The benefit of this research is to help users to choose the preferred recipes from different food recipes. To analyze food recipes, the comments of each recipe will be collected and classified to neutral, positive or negative comments. Therefore, the user can gain the information to make a smart decision. The evaluation of the comment analysis shows that the accuracy of neutral and positive classification is about 90%.
A modified dynamic spectrum access method to enhance spectrum efficiency

Dynamic spectrum access technique brought much light to spectrum efficiency since it has been proposed, that is, in over ten years it made much progress and contribution to cognitive radio in wideband communication systems. The growing requirement of a new generation of wireless communication system for high-speed data communication and bandwidth makes the scarcity of spectrum resources an inevitable problem. With new spectrum methods and strategies coming out, more efforts have been made to this field. This article compares and analyzes recent different dynamic spectrum access methods, on basis of which we propose a modified spectrum access method to enhance spectrum efficiency. Meanwhile simulation and analysis of this method is presented at the end of this article. A new feasible spectrum access algorithm is proposed using hill climbing approach to computes the parameters of spectrum access. Then collaborative access and non-collaborative spectrum access are different in estimating the interference temperature to the primary receivers. Afterwards simulation and comparison of collaborative approach are presented as well.
Applying Restoration Principles on the BLM O&C Forests in Southwest Oregon

When we initially developed our proposals for a restoration strategy for the forests of the Pacific Northwest we considered it important to take certain intractable issues, such as old growth forests and road-less areas, “off of the table. ” This was necessary so that -rather than continuing policy debates over these contentious topics -society could move forward on important activities for which there was general support, such as restoration of forests and waters, which would achieve both environmental and economic good. While some critical societal decisions were still required, such as selecting an age at which forests and trees on federal lands would be reserved, the Northwest Forest Plan provided a basic starting point for our policy proposals. The emergence of the draft Recovery Plan for the Northern Spotted Owl (NSO) has created a major new element that must be addressed in any restoration proposals and additional uncertainty about what can be accomplished in the near term; resolving the uncertainty about critical habitat as quickly as possible is an important need. However, the reemergence of NSO conservation issues has not changed the fundamental premise of our original analysis, which is the need to focus on activities that achieve environmental, economic and social benefits by improving ecosystem diversity and functionality and increasing societal options on federal forest lands as well as improving ecosystem resilience and sustainability in the face of environmental change. We do find it ironic that – 20 years after Judge Dwyer’s injunction on the harvest of NSO habitat that led to the Northwest Forest Plan – society finds itself once again engaged in a process of balancing concerns about a single species with concerns about entire ecosystems and the communities that depend on them.
A Review on Variable Inductors and Variable Transformers: Applications to Lighting Drivers

This paper presents a literature review on magnetically-controlled devices, variable inductors (VI), and variable transformers (VT), and their applications to lighting gears for discharge lamps and/or LED lamps. These current-controlled devices are mainly characterized by nonlinear and non-uniform saturation of the magnetic core. The paper describes the fundamentals and basic operating principle of such devices and provides an overview of existing patents. These patents refer the devices, VIs or VTs, as useful or industrially applicable. Some present one or more claims regarding the construction of the device and behavioral characteristic; others refer to specific applications, such as voltage regulation or universal ballast operation. Afterwards, the paper focuses on the review of specific techniques and circuits taking advantage of the presence of a controlled inductance value, by covering recent applications regarding discharge and solid-state lamp drivers. These applications will show how these multi-winding devices, typically not considered due to their low efficiency, may fulfill an important role and add features to state-of-the-art lamp drivers.
On the boolean complexity of real root refinement

We assume that a real square-free polynomial <i>A</i> has a degree <i>d</i>, a maximum coefficient bitsize τ and a real root lying in an isolating interval and having no nonreal roots nearby (we quantify this assumption). Then, we combine the <i>Double Exponential Sieve</i> algorithm (also called the <i>Bisection of the Exponents</i>), the bisection, and Newton iteration to decrease the width of this inclusion interval by a factor of <i>t</i>=2<sup>-L</sup>. The algorithm has Boolean complexity Õ<sub>B</sub>(d<sup>2</sup> τ + d L ). Our algorithms support the same complexity bound for the refinement of <i>r</i> roots, for any <i>r ≤ d</i>.
Lexical Semantic Relatedness with Random Graph Walks

Many systems for tasks such as question answering, multi-document summarization, and information retrieval need robust numerical measures of lexical relatedness. Standard thesaurus-based measures of word pair similarity are based on only a single path between those words in the thesaurus graph. By contrast, we propose a new model of lexical semantic relatedness that incorporates information from every explicit or implicit path connecting the two words in the entire graph. Our model uses a random walk over nodes and edges derived from WordNet links and corpus statistics. We treat the graph as a Markov chain and compute a word-specific stationary distribution via a generalized PageRank algorithm. Semantic relatedness of a word pair is scored by a novel divergence measure, ZKL, that outperforms existing measures on certain classes of distributions. In our experiments, the resulting relatedness measure is the WordNet-based measure most highly correlated with human similarity judgments by rank ordering at = . 90.
EXPERIMENTAL INVESTIGATIONS AND MODELING OF EMULSIONS RHEOLOGY IN PRESENCE OF ADDITIVATED POLYMERS

The paper is concerned with the experimental investigations of the rheological behavior of emulsions water-in-oil additivated with polymers. The probes used in experiments are based on two Romanian crude (pure) oils: probe A (PA) is an asphaltic crude oil with 30% water volumic concentration, respectively probe B (PB) is a paraffine crude oil with 6% water volumic concentration. Rheological characterisations of the samples are obtained at 5C constant temperature, as function of polymers concentration (polymer NSF for probe PA, respectively polymer AF for probe PB). Creeping and oscillatory tests have been performed in order to characterise the rheology of the samples (i.e. dependences of viscosity and elasticity on the shear rate, respectively frequency) and to evidence the polymer concentration at which these rheological properties reach minimum values. The present experimental studies, performed for the first time in Romania, bring a better understanding of flow properties of Romanian oils and have a direct application in optimization of oil transport in pipes.
N ov 2 01 9 Confinement of wavefunction in Fractal geometry , a detection using DFT

Fractals are self-repeating patterns which have dimensions given by fractions rather than integers. While the dimension of a system unambiguously defines its properties, a fractional dimensional system can exhibit interesting properties. The recent work on confinement of the electronic wavefunction in fractal dimensions by creating artificial lattice has given rise to new possibilities of designing artificial lattice. In this study, we demonstrate that the first principle methods can be effectively employed to investigate, design and characterize electrons in Hausdorff dimension. We apply the method to study the molecular graphene and Lieb lattices which lead to fractal lattices based on these fractals. We construct the hexaflake and Vicsek fractals by adsorption of CO molecules on Cu(111) surface. This opens up the possibility of using high throughput techniques for screening and discovering such lattices from currently known crystals or developing them altogether.
Feasibility of Comparing the Results of Pancreatic Resections between Surgeons: A Systematic Review and Meta-Analysis of Pancreatic Resections

Background. Indicators of operative outcomes could be used to identify underperforming surgeons for support and training. The feasibility of identifying HPB surgeons with poor operative performance (“outliers”) based on the results of pancreatic resections is not known. Methods. A systematic review of Medline, Embase, and the Cochrane library was performed to identify studies on pancreatic resection including at least 100 patients and published between 2004 and 2014. Proportions that lay outside the upper 95% and 99.8% confidence intervals based on results of the systematic reviews were considered as “outliers. ” Results. In total, 30 studies reporting on 10712 patients were eligible for inclusion in this review. The average short-term mortality after pancreatic resections was 3.1% and proportion of patients with procedure-related complications was 47.0%. None of the classification systems assessed the long-term impact of the complications on patients. The surgeon-specific mortality should be 5 times the average mortality before he or she can be identified as an outlier with 0.1% false positive rate if he or she performs 50 surgeries a year. Conclusions. A valid risk prognostic model and a classification system of surgical complications are necessary before meaningful comparisons of the operative performance between pancreatic surgeons can be made.
An efficient routing scheme for irregular mesh NoCs

Topological structure is an important part of the design of network on chip systems. The majority of current NoC architectures employ mesh topology, but at some practical application, NoC systems often integrate a number of heterogeneous blocks, or some fabrication faults, reliability issues, may lead to the need of irregular topologies. Consequently, simplistic routing techniques such as XY scheme can not be employed in irregular topologies. This paper presents an efficient specific routing scheme for the irregular mesh network which can be guaranteed for the connection in irregular topologies. This paper applies routing tables (RT) to realize the algorithm and use OVP (Open Virtual Platforms)+ TLM (Transaction Level Modeling)+systemC to create a virtual platform, achieving a 16 x16 irregular mesh topology of heterogeneous systems. Finally the routing scheme is applied to test specific real application network instances, and the result shows its connectivity and efficiency.
Data Requirements for Applying Machine Learning to Energy Disaggregation

Energy disaggregation, or nonintrusive load monitoring (NILM), is a technology for separating a household’s aggregate electricity consumption information. Although this technology was developed in 1992, its practical usage and mass deployment have been rather limited, possibly because the commonly used datasets are not adequate for NILM research. In this study, we report the findings from a newly collected dataset that contains 10 Hz sampling data for 58 houses. The dataset not only contains the aggregate measurements, but also individual appliance measurements for three types of appliances. By applying three classification algorithms (vanilla DNN (Deep Neural Network), ML (Machine Learning) with feature engineering, and CNN (Convolutional Neural Network) with hyper-parameter tuning) and a recent regression algorithm (Subtask Gated Network) to the new dataset, we show that NILM performance can be significantly limited when the data sampling rate is too low or when the number of distinct houses in the dataset is too small. The well-known NILM datasets that are popular in the research community do not meet these requirements. Our results indicate that higher quality datasets should be used to expedite the progress of NILM research.
On Subjective Trust Management

Trust and reputation management is gaining nowadays more attention then ever as online commodity exchange and other open virtual societies became a widespread reality. Most widely used computational models use reputation metrics as global property assigned to each party. More sophisticated models try to use reputation as subjective property. While introducing subjective reputation there arise a need to model preferences of agents. In this paper we propose to use weighted ordered weighted average (WOWA) operator to support the decision maker in assessing available evidence about other’s party behavior. The WOWA aggregation is defined by two weighting vectors: the preferential weights assigned to the ordered quantities and the importance weights assigned to several attributes. It allows one to express both the preference regarding sources of information by the corresponding importance weights and the compensation between attribute values aggregated by the preferential weights. Keywords— decision support, management concepts, multicriteria reputation model.
Variability of spontaneous vegetation succession in disused gravel-sand pits: importance of environmental factors and surrounding vegetation

We used plant life-history traits and habitat preferences by species to fi nd which of the characteristics predict establishment of species in diff erent successional stages inside the disused gravel-sand pits. Data were collected in 36 abandoned gravel-sand pits in various regions of the Czech Republic. Seral stages in the gravel-sand pits ranged in age from 1–75 years. Together 224 phytosociological relevés were recorded in 5 m x 5 m plots in representative parts of all available seral stages. Complete lists of species occurring in (semi-) natural habitats were surveyed up to the distance of 100 m from each relevé. Colonization success of each species was expressed by an index between 0–1 which was obtained as the ratio: the number of relevés with species present/the number of relevés with the species occurrence in the surroundings. Data were elaborated by the ordination analysis and the regression tree analysis. Results showed that certain traits were linked with colonization success in three main stages of vegetation succession: young, middle, and late. Generally, the most successful colonisers of disused gravel-sand pits were hydrophytes with ability to vegetative reproduction. At the beginning of succession, the most important role played anemochorous, stress tolerant species, possessing light diaspores, being typical for nitrogen poor and acid habitats. Later, the importance increased of sciophylous and nitrophilous species of mesic habitats, with heavier diaspores, mostly phanerophytes or geophytes, often with ability to vegetative reproduction and higher demands for pH. Probability of species occurring in the surroundings to colonize gravel-sand pits is decreasing in succession: young stages – 41 %, middle stages – 30 %, late stages – 15 %. Synthesis and application Plant functional traits were recognized as powerful tools to predict colonization success of plants available in the local species pool. It may help in prediction of vegetation succession in various human-disturbed sites and thus be used in various restoration programmes.
Heat transfer and air flow in buildings ∗

Modelling of heat propagation in buildings, consisting of rooms separated by inner walls and covered by outer walls, roofs, etc., belong to serious non-trivial problems of civil engineering design. Especially in rooms the classical heat conduction analysis (using the Fourier -Kirchhoff approach) gives no reasonable results because the air flow, driven by outer climate quasiperiodic changes, forces quite other timevariable redistributions of a temperature field. Thus, three physical conservation principles have to be respected – of mass (generating one continuity equation), of momentum (generating three equations of viscous air flow of the Navier Stokes type) and of energy (generating one equation of heat transfer that can be identified with certain extended version of the Fourier -Kirchhoff equation). Nevertheless, such general system is complicated and corresponding numerical calculations are slow and expensive. This paper discusses admissible simplifications and presents the original MATLAB-based software code for the analysis of simultaneous air flow and heat conduction both in rooms and in construction parts, implementable on standard personal computers without higher hardware of software requirements. One two-dimensional example with a realistic room size and air characteristics is demonstrated.