Miracle-dz/UniFAR-FTUs huggingface dataset:
ScienceDirect International Conference on Computational Modeling and Security ( CMS 2016 ) Classifier Ensemble Design for Imbalanced Data Classification : A Hybrid Approach

Imbalanced learning for classification problems is the active area of research in machine learning. Many classification systems like image retrieval and credit scoring systems have imbalanced distribution of training data sets which causes performance degradation of the classifier. Re-sampling of imbalanced data is commonly used to handle imbalanced distribution as it is independent of the classifier being used. But sometimes they can remove necessary data of the class or can cause over-fitting. Classifier Ensembles have recently achieved more attention as effective technique to handle skewed data. The focus of the work is to gain advantages of both data level and classifier ensemble approach in order to improve the classification performance. We present a novel approach that initially applies pre-processing to the imbalanced dataset in order to reduce the imbalance between the classes. The pre-processed data is provided as training dataset to the classifier ensemble that introduces diversity by using different training datasets as well as different classifier models. The experimentation conducted on the eight imbalanced datasets from KEEL repository helps to prove the significance of the proposed method. A comparative analysis shows the performance improvement in terms of Area under ROC Curve (AUC). © 2015 The Authors. Published by Elsevier B.V. Peer-review under responsibility of organizing committee of the 2016 International Conference on Computational Modeling and Security (CMS 2016).
The Influence of Drying Temperature on Selected Properties of Flour Produced from Orange Fleshed Sweet Potato Tubers

-The effect of drying temperature on some nutritional properties of flour from orange flesh sweet potato was investigated with the view to produce high quality flour. About One Kilogram (1kg) of orange flesh sweet potatoes was for this research work. The fresh unpeeled orange flesh sweet potato tubers were washed thoroughly, drained, peeled and sliced into 0.5 mm slice thickness. With the initial properties of the fresh orange flesh sweet potato determined, the sliced potato was soaked in 2.5% Sodium Metabisulphate for 30 minutes. The pretreated potato slices were then drained and divided into samples A, B, C, D and E respectively of One hundred and Fifty grams (150g) each. The samples A, B, C, D and E were dried in hot air oven set at 40oC, 45oC, 50oC, 55oC, and 60oC respectively until constant weights were obtained at three consecutive reading. The cooled dried slices were crushed and milled (cyclone mill) into flour. The milled flour was sieved using a 75um (micron meter) to obtain fine flour of uniform particle size. The nutritional properties of the flour were determined using standard methods. Data collected were analyzed using SPSS (15.0) and the means separated. The results showed that generally, drying decreases the moisture, fat, crude fiber, protein, vitamin C and beta carotene contents of fresh orange flesh sweet potato tubers while drying increases the ash and carbohydrate contents irrespective of the drying temperature. The drying temperature of 45oC is recommended for drying fresh orange flesh sweet potato tuber to obtain high quality flour in terms of lower moisture content (4.9%) and higher protein (3.51%), vitamin C (10.1 mg/100g) and beta carotene (289.8 mg/100g).
PM 10 Emissions Due To Storage In Coal Piles In A Mining Industrial Area

Fugitive material has been identified as the main source of air pollution, especially total suspended particulate (TSP) and particulate matter less than 10 micrometers (PM10) in open pit mining. The aim of this research was to estimate the concentration of PM10 and measure the impact of coal piles on nearby populations. The sources under consideration are three differen t areas for coal storing. All three areas are distributed along the mine with 14 piles with a total capacity of 3.2 Mton. Emissions were estimated and the contribution of PM10 for the activities of loading, unloading, hauling coal, tractor ope rations and wind disturbances on the surface of the coal piles using the emission factors suggested by EPA. The contribution to environmental receptors was determined with the dispersion model CALPUFF. Although higher emissions occur in solar hours, characterised by high values of wind speed and higher insolation, the greater receptivity PM10 measurements stations occur during the night hours by decreasing the mixing height. The model show that the activities involved in coal storage can provide 14.5% of daily environmental concentrations in receptors located 16.2 km downwind of the source, which showed that CALPUFF can be used for complex terrain and short distance from the source of emission.
THE FINAL-PARSEC PROBLEM IN THE COLLISIONLESS LIMIT

A binary supermassive black hole loses energy via ejection of stars in a galactic nucleus, until emission of gravitational waves becomes strong enough to induce rapid coalescence. Evolution via the gravitational slingshot requires that stars be continuously supplied to the binary, and it is known that in spherical galaxies the reservoir of such stars is quickly depleted, leading to stalling of the binary at parsec-scale separations. Recent N-body simulations of galaxy mergers and isolated nonspherical galaxies suggest that this stalling may not occur in less idealized systems. However, it remains unclear to what degree these conclusions are affected by collisional relaxation, which is much stronger in the numerical simulations than in real galaxies. In this study, we present a novel Monte Carlo method that can efficiently deal with both collisional and collisionless dynamics, and with galaxy models having arbitrary shapes. We show that without relaxation, the final-parsec problem may be overcome only in triaxial galaxies. Axisymmetry is not enough, but even a moderate departure from axisymmetry is sufficient to keep the binary shrinking. We find that the binary hardening rate is always substantially lower than the maximum possible, “full-loss-cone” rate, and that it decreases with time, but that stellar-dynamical interactions are nevertheless able to drive the binary to coalescence on a timescale ≲1 Gyr in any triaxial galaxy.
Isolation and characterization of anthraquinones from the stem bark of Cassia species

1,8-Dihydroxy-6-methoxy-3-methyl anthraquinone from stem bark of Cassia fistula and 1,8-dlhydroxy-3.methyl anthraquinone and bianthraquinone casslamin from stem bark of Cassia siamea have been Isolated and their structures were elucidated by spectral studies. Ethanolic bark extracts of both the plants were used as natural dyes on wool.
The Effect of SNS Tourism Information Service Quality on the Intension of Reuse

The purpose of this study is to examine the influence of SNS information service quality on reuse intention. Reliability and interaction are selected as moderating variables in order to understand more about the influence of the independent variables of the four factors - responsiveness, ease of use, usefulness, and interest - on the dependent variable of reuse intention. The results of analysis showed that two of the four SNS information service quality factors had a significant impact on the reuse intention of users; ease of use and interest. The reliability and interaction had a significant moderating effect on the relationship between ease of use and reuse intention.
Application of Primacy-Recency in Comparative Advertising

Abstract The present study measures the primacy-recency effects of two message formats in the evaluation of the services, sponsor credibility, recall and likelihood of usage of two services. It also assesses the effectiveness of comparative versus noncomparative advertisements in terms of recall, sponsor credibility, evaluation of the services, and likelihood of usage of these services. The findings indicate that for both types of comparative advertisements the primacy-recency effects significantly affect the evaluation of the services, sponsor credibility, and likelihood of usage. The analysis for comparative versus noncomparative advertisements indicates that noncomparative message formats are more effective in terms of evaluation of the services and likelihood of usage. Limitations of the study and future research directions are discussed.
Signature scheme for network coding against inter-generation pollution attacks

The concept of generation is introduced into network coding so as to adapt to the needs of realtime application. Considering that network coding is vulnerable to inter-generation pollution attacks and causes message crosstalk,a generation-identifier based signature scheme for network coding was proposed. Firstly,the two-level private keys,including the generation private key and the message private key,both derived by the generation identifier were set. This procedure enabled nodes to judge the generation attribute of messages and decided whether to continue coding. Secondly,a signature algorithm was constructed with homomorphic property by using the bilinear pairing. Meanwhile the two-level private keys were separated to verify signatures by batch,which made nodes verify all the massages of the same generation simultaneously. Finally,through the analysis of random oracle model,the scheme was proved secure against adaptively chosen message attack.The result indicates that the scheme can reduce computation cost and improve performance of the system.
(SrF0.8(OH)0.2)2.526(Mn6O12): Columnar Rock-Salt Fragments Inside the Todorokite-Type Tunnel Structure

A new type of composite structure is described consisting of the todorokite-type [Mn 6 O 12 ] framework with large square tunnels accommodating columnar fragments of the rock-salt structure. The crystal structure of the new todorokite-type [SrF 0.8 (OH) 0.2 ] 2.526 [Mn 6 O 12 ] compound is solved from transmission electron microscopy, and the structure of its anhydrous form [SrF 0.8 O 0.1 ] 2.526 [Mn 6 O 12 ] is refined from X-ray powder diffraction data. The [Mn 6 O 12 ] framework consists of mutually perpendicular walls built of three edge-sharing rutile-type strings of MnO 6 octahedra delimiting large square tunnels with the size of 3 x 3 octahedra. The interior space in the tunnels is filled with rock-salt type [Sr(F,OH)] 4 columns. The structure can be interpreted as being an incommensurate composite structure with the modulation vector q 1 = γc 1 * (y = 0.63157(3)) parallel to the direction of tunnel propagation. The octahedral tunnel walls compose subsystem I with a [Mn 6 Ο 12 ] composition and a periodicity c 1 = 2.84 A, whereas the [Sr(F,OH)] 4 columns belong to subsystem II with a periodicity c 1 /γ = 4.49 A, resulting in a [Sr(F,-OH)] 4γ [Mn 6 O 12 ] composition. [SrF 0.8 (OH) 0.2 ] 2.526 [Mn 6 O 12 ] demonstrates a much larger number of cations inside the tunnels in comparison with the known synthetic and natural marine todorokites. The [SrF 0.8 -(OH) 0.2 ] 2.526 [Mn 6 O 12 ] compound shows a spin-glass behavior below T* ≈ 26 K with a dominant antiferromagnetic correlation.
Factors Influencing Students’ Major and Career Selection in Systems Development: An Empirical Study

ABSTRACT Systems development is an academic major in many information systems (IS) programs. Attracting students who are interested in systems development is important to increasing IS enrollment. The purpose of this study aims to empirically investigate which factors influence students’ decisions to select systems development as a major and future career. This research makes three contributions to IS research and education. First, the research findings extend previous research associating outcome expectations and job availability with attitudes toward systems development. IS educators can use these findings to create better recruiting strategies and to improve the IS curriculum. Second, the findings connect academic-major choice with career choice. The findings indicate that attitudes toward systems development and personal innovativeness in IT (PIIT) positively influence students’ intentions to pursue a career as a systems developer. Third, this research paves a foundation for further investigation into systems development behavior and performance in the workplace.
THE STRUCTURE OF “ITCA”, A URINARY METABOLITE OF CYANIDE

Mammals have several enzyme systems for the detoxification of cyanide, a militarylcivilian threat agent of contemporary concern, viz., rhodanase (thiosulfate: cyanide sulfurtransferase; EC 2.8.1.1)’ and p-mercaptopyruvate sulfurtransferase (3-mercaptopyruvate: cyanide sulfurtransferase, EC 2.8.1.2),Is2 both enzymes catalyzing the conversion of cyanide to the non-toxic thiocyanate, the latter being excreted in the urine. Cyanide also reacts in vivo with L-cystine, the oxidized disulfide form of the endogenous sulfur amino acid, L-cysteine, to produce L-2-iminothiazolidine4carboxylic acid (“L-ZITCA”; Scheme
Research of AODV Routing Protocol for Ad Hoc Networks

In special situation such as military communications,earthquake or flood and so on,the routing protocol of Ad Hoc network can not meet the real-time communication.This paper presents an optimized protocol: B-AODV based on the shortage of routing finding and routing repair of AODV.First through reverse request by sending BRREQ replace of RREP,it reduces the time of routing finding.Second,two hops IP record in control messages and route table can improve the rate of routing repair and reduces the times of routing findings.And it improves the function of Ad Hoc network.This simulation experiments are based on NS2 and compared the performance of AODV and B-AODV.And it compared the differences of control packets,ratio of packets,end to end delay for AODV and B-AODV.It shows that B-AODV is better than AODV.
Reinforcement learning with natural language signals

In this thesis we introduce a technique that allows one to use Natural Language as part of the state in Reinforcement Learning. We show that it is capable of solving Natural Language problems, similar to Sequence-to-Sequence models, but using multistage reasoning. We use Long Short-Term Memory Networks to parse the Natural Language input, whose final hidden state is used to compute action scores for the Deep Q-learning algorithm. First part of the thesis introduces the necessary theoretical background, including Deep Learning approach to Natural Language Processing, Recurrent Neural Networks and Sequence-to-Sequence modeling. We consider two case studies: translation and dialogue. In addition, we provide an overview of the existing techniques for the Reinforcement Learning problems, with focus on Deep Q-learning algorithm. In the second part of the thesis we present the multi-stage reasoning approach, and demonstrate it on solving the sentence unshuffling problem. It achieves accuracy 5% better than a Sequence-to-Sequence model, while requiring 3 times less examples to converge. Furthermore, we show that our approach is flexible and can be used with multi-modal inputs - Natural Language and agent's sensory data. We propose a system capable of understanding and executing Natural Language commands. It can be used for many different tasks with minimal engineering effort - the only required components being the reward function and example commands. We demonstrate its performance using an experiment in which an agent is required to learn to complete four types of manipulation tasks. The approach achieves nearly perfect performance on two of them and good performance in the two others.
List of Functions

1. Para The input Para is a list that contains the parameters which define the spreading model, Para=list(M,q,l,A d,A b). Here M and l are the number of compartments and the layers, respectively. q is a 1× l matrix where q[1, s] is the influencer compartment for layer s. The nodal based transition matrix ,A d, is a M ×M matrix with elements A d[i, j] that specifies the the nodal based transition rate from compartment i to j. The other element of Para is A b which is a M ×M × l array. The element A b[i, j, s] is the transition rate of a node from compartment i to j if it has a neighbor in layer s and the state of the neighbor is q[1, s].
Spatial analysis and cultural information: the need for theory as well as method in space syntax analysis

In this paper, some key space syntax techniques of analysis are presented and illustrated, and certain theoretical propositions linking space to society, resulting from the application of space syntax techniques, are explained. It is suggested that awareness of the theoretical propositions when the techniques are used can sometimes aid the archaeologist in the social interpretation of spatial patterns. 1 What space syntax is Space syntax is a set of techniques for analysing spatial configuration, and a set of theories linking space and society. For the most part, it has been developed on the basis of here-andnow data which is, or can be, pretty complete. You can relate spatial configuration to where people are, how they move, how they adapt and decorate space, and how they talk about it. In archaeology you work with incomplete and often sporadic data, so analysis is more difficult by an order of magnitude. So how can we proceed? I think the most useful thing I can do is to give, first, an overview of some of the techniques that are now available, and how they allow us to interpret spatial phenomena in social terms. But this will lead to two propositions which some may find initially strange. The first is that space is in itself lawful. The second is that it is through its lawfulness that space interacts with society. Because they may seem strange, I will try to demonstrate each of these propositions in as simple a way as I can, and show how spatial laws intervene in all aspects of our subject: the relations between physical objects and spaces, the effects of spaces on people, how we cognise space, and how and why societies order space in different ways. I will end by outlining a general theoretical model of the city, and show how it embodies these various types of law. It is this theoretical understanding of space which I believe will be most useful to archaeologists in seeking to extract cultural information from the material remains of buildings, settlements and areal spatial patterns. 2 How space syntax works The techniques – and the theories – of space syntax are based on two key propositions. The first is that space is not a background to human activity, but intrinsic to it.
Development and Permeability Testing of Self-Emulsifying Atorvastatin Calcium Pellets and Tablets of Compressed Pellets

Self-emulsifying pellets (SEPs) of Atorvastatin Calcium (AtrCa) were developed and processed into tablets (SETs). Self-emulsifying drug delivery system (SEDDS) composed of oleic acid, Tween 20, Span 80 and N-Methyl-2-pyrolidone gave great solubility improvement and was used as oil in water emulsion for the preparation of SEPs. Due to the high 60% w/w SEDDS content required to achieve a therapeutic dose in the final tablet form, sonication was necessary to improve fluidity and stability. Colloidal silicon dioxide (CSD) and microcrystalline cellulose (MCC) were the solids in the pellet formulation employed at a ratio 7:3, which enabled production of pellets with high SEDDS content and acceptable friability as well. Emulsions were characterized physico-chemically, SEPs for physical properties and reconstitution, and tablets of compressed pellets for mechanical strength, disintegration into pellets and drug release. SEPs compressed with 30% MCC at 60 MPa gave tablets of adequate strength that disintegrated rapidly into pellets within 1 min. Emulsion reconstitution took longer than drug release due to adsorption of SEDDS on CSD, implying dissolution at the pellet surface in parallel to that from the dispersed droplets. Compared to the commercial tablet, drug release from the self-emulsifying forms was faster at pH 1.2 where the drug solubility is poor, but slower at pH 6.8 where the solubility is higher. Permeability and cytotoxicity were also studied using Caco-2 cells. The results showed that drug transport from the apical to basolateral compartment of the test well was 1.27 times greater for SEPs than commercial tablets, but 0.86 times lower in the opposite direction. Statistical analysis confirmed the significance of these results. Toxicity was slightly reduced. Therefore, the increased permeability in conjunction with the protection of the drug being dissolved in the SEDDS droplets, may reduce the overall effect of presystemic metabolism and enhance bioavailability.
Anticipatory Networked Communications for Live Musical Interactions of Acoustic Instruments

Performing music over computer networks requires highly reliable infrastructures with respect to latency elimination, bandwidth availability and error alleviation. Hence, commonly available networks or large communication distance cannot effectively cope with real-time, high-fidelity and uninterrupted musical communications. An intuitive solution to this problem can be offered by employing mechanisms for musical prediction and anticipation which can help mitigate technical impediments. The idea is that knowing in advance the evolution of a music piece can offer effective reduction of communication latencies and data rates. Furthermore, musical anticipation can be used to eliminate errors owing to data loss in the network transmission path. We present the development of a software prototype that uses anticipatory processes to support networked music performance. The adopted methodology is inspired by computer accompaniment systems, in which a software agent follows the performance of a human musician in real-time, by synchronizing a pre-recorded musical accompaniment to the expressive nuances of live interpretation. The paper presents an overview of relevant research initiatives, the computational approach implemented for anticipatory networked performances and an experimental validation that demonstrates current progress and reveals constraints and challenges pending further investigation.
DGS (Defected Ground Structure) MicrostripAntenna for Bluetooth Applications

This paper illustrates the designing of microstrip patch antenna utilizing defected ground structure. The major purpose of designing such kind of antenna is to attain multiband purpose which is vital for requirement of technology nowadays. Initiation of such kind of antenna with imperfect structure of ground increases the antenna functioning. In this case the ground element of the recommended antenna is regarded as defected ground structure (DGS). Moreover the optimization of this kind of antenna is made so as to achieve a return loss of -10db. Furthermore in comparison to simple ground, the recommended design augments the bandwidth and develops the input return loss of the antenna. The antenna design parameters and performances have been studied by means of simulations. The substrate utilized behind designing is of glass with a dielectric constant of 2.2. Moreover the design invariants of antenna consist of single layer thickness of 2mm as well as operating frequency of 4 GHz. The design was optimized so that we can get the finest probable effect. To conclude the microstrip antenna without DGS effects in narrow bandwidth with high return loss. In contrast, microstrip antenna with DGS offers higher operating bandwidth with less return loss.
Computational Models for Multiparty Turn-Taking

We describe a computational framework for modeling and managing turn-taking in openworld spoken dialog systems. We present a representation and methodology for tracking the conversational dynamics in multiparty interactions, making floor control decisions, and rendering these decisions into appropriate behaviors. We show how the approach enables an embodied conversational agent to participate in multiparty interactions, and to handle a diversity of natural turn-taking phenomena, including multiparty floor management, barge-ins, restarts, and continuations. Finally, we discuss results and lessons learned from experiments.