Miracle-dz/UniFAR-FTUs huggingface dataset:
The Internet & the Public Switched telephone network: A troubled marriage

Intemet access traffic continues to increase dramatically on the Public Switched Telephone Network (PSTN) in the United States and has changed the fundamental nature of traffic and customer service. Call blocking has surged in much of the network (overall average blocking reaching 5% and more than 30% of the groups exceeding 3% blocking in some areas), and instances of extremely high blocking persist. Customer complaints are increasing, and Local Exchange Carriers (LECs) are placing a high priority on fixing the Internet problem. In selected areas, interoffice trunks increased 44% in the period June 1995 to June 1996, with high blocking remaining as a serious issue. This report describes the typical problems and preliminary findings, which identify the mechanics for the seemingly unfixable high blocking. Based on this work, being directed by Bellcore, LECs are developing new strategies for carrying this new kind of traffic.
In My End is My Beginning: E-learning at the Crossroads

The increasing popularity of e-learning does not refer to a specific educational method of instruction nor method of delivery. The design can have different meanings depending on the sophistication of the educational method employed, the resources made available, and the educator’s skills. Unfortunately the application of technology in education does not necessarily equate to effective forms of learning. The literature does not always provide clarity in defining a framework for educational technology initiatives. This paper suggests that such a taxonomy is necessary to establish distinct categories of e-learning between industrial models, bottom-up innovation and top-down institutionally-led changes.
Um ambiente para programação de Haskell em Android

This dissertation describes the development of a native application that evaluate Haskell expressions in the Android system. To achieve this goal we have used the Hugs interpreter, a functional programming system based on Haskell, which allows evaluating expressions natively, therefore, without recurring to an online service. In order to use the Hugs system to perform expression evaluation, it was first necessary to perform a background study of this system to determine the best approach to adapt it, by building an interface adapted to the mobile system for the Hugs interpreter. This study allowed the interconnection between the existing Hugs system, written in C, with the interface, developed in Java and XML.
Multi-target Tracking via Paratactic-serial tracklet graph

Many recent advances in multi-target tracking have grown concern over latent corresponding relation among observations, e.g. social connection. To handle long-term occlusion within group and tracking failure caused by interaction of targets, various correlations among tracklets need to be exploited. In this work, we propose a paratactic-serial tracklet graph(PSTG)-based framework for multi-target tracking. Contrary to recent approaches, we define a novel PSTGbased method describing the correlation among all tracklets in spatio-temporal domain to model the mutual influence among trajectories. Paratactic-tracklet graph extends the potential relationship among tracklets, and serial-tracklet graph enhances the integrity and continuity of trajectories. In addition, we design a PSTG energy function to make the trajectory estimation more accurate. Moreover, multi-label optimization is presented to embody constraints on group, integrity and spatio-temporal domain. We demonstrate the validity of our approach on several public datasets and our dataset, and achieve very competitive results by quantitative evaluation.
Single-Crystal Structure and Electron Density Distribution of Ammonia at 160 K on the Basis of X-ray Diffraction Data

A single-crystal of NH3 was grown in a thin-walled capillary at 178 K, and high-resoln. x-ray diffraction data were obtained for this compd. at 160 K to obtain information about electron d. distribution. Conventional and multipole refinements and deformation electron d. maps indicated small but significant N-H bond bending inside the NH3 tetrahedron that is in agreement with ab initio quantum-chem. calcns. and the VSEPR model. Topol. anal. of the exptl. charge d. distribution in the NH3 mol. was performed, and the data are compared with high-level quantum-chem. calcns. Crystals are cubic, space group P213, with a 5.1305(8) . ANG. ; Z = 4, dc = 0.838. Some features of the intermol. H bonds in the crystal are discussed.
Summarizing Data with Informative Patterns

The increasingly low cost and relative ease of data acquisition due to technological advances, has allowed us to create vast repositories of data. The field of data mining is involved with the discovery of useful and non-trivial information from such databases, in order to gain novel insight from them. Specifically, explorative data mining techniques such as pattern mining form a popular area of research, offering descriptions of data in the form of local patterns. In practice, however, these techniques tend to overwhelm the user with countless patterns that are potentially interesting, but many of which are highly redundant. This gives rise to the need for succinct, informative summarization methods. In this dissertation we explore how local patterns can be used to summarize data. That is, we investigate how we can automatically present a concise, yet informative and interpretable piece of information to the user, accurately summarizing a given dataset in terms of its most important patterns. We consider binary and categorical data, and use itemsets and attribute sets as patterns. We propose several methods. First, we find strong dependencies between sets of attributes, using information-theoretic properties to avoid reporting redundant results. A second approach creates high-level overviews of categorical data, by clustering attributes into correlated groups. Each group comes with a description of the corresponding part of the data, thus providing an intuitive grasp of the prevailing structures. Third, we focus on integrating background knowledge into the data mining process in order to avoid redundancy. This is done by constructing a maximum entropy model based on simple statistics, against which itemsets are ranked. Finally, we present a method that builds a probabilistic model of the data with a collection of itemsets, employing the Minimum Description Length principle to find the best summary. Extensive experimentation shows that the proposed methods produce simple yet high-quality, insightful data summaries, and that their construction can be achieved efficiently.
Optimization of Animation Curve Generation Based on Hermite Spline Interpolation

Computer animation is the combination of computer graphics and art field. In computer animation design, the adjustment of route for the animation object movement is a time consuming work for the designers. It is not only related to the generation of motion path curve, but also related to the speed smoothness of key frames. Based on the methodology of Hermite spline interpolation, this paper proposes a method to adjust the curve tangent vector length by considering the parameter of key frame, and use this method to relieve the unevenness of animation speed. Experimental results demonstrate that this method can improve the movement effect of animation route design efficiently.
Konversi Bahasa Indonesia ke SQL (Structured Query Language) dengan Pendekatan Mesin Penerjemah Statistik

Bahasa merupakan alat yang digunakan untuk berkomunikasi. SQL (Structured Query Language) merupakan bahasa pemograman yang bergerak dalam bidang database. Dengan menggunakan bahasa SQL maka setiap orang harus memahami struktur SQL tersebut jika ingin mendapatkan informasi dalam suatu database . Tetapi, hanya dengan menggunakan bahasa alami yang biasa digunakan sehari–hari setiap orang akan lebih dimudahkan dalam mencari dan mendapatkan informasi dalam database tanpa harus memahami struktur SQL itu sendiri. Maka, dibuatlah suatu sistem Konversi bahasa Indonesia ke SQL dengan pendekatan mesin penerjemah statistik untuk mendapatkan nilai akurasi pada bahasa alami. Pada penelitian ini Pengujian dilakukan secara otomatis menggunakan Bilingual Evaluation Understudy (BLEU) dan pengujian menggunakan aplikasi basis data. Hasil pengujian pada BLEU didapatkan nilai akurasi sebesar 64.89% sedangkan pada aplikasi basis data pengujian pada database mahasiswa didapatkan nilai akurasi sebesar 70% terhadap kalimat uji yang diberikan untuk setiap basis data. pada pengujian MOS ( Mean Opinion Score ) sebesar 70% dengan skala 70-80% yang artinya, mendapatkan kualitas opini baik. Kata Kunci — SQL, bahasa alami, BLEU Score , aplikasi basis data, MOS ( Mean Opinion Score )
OH chemistry of non-methane organic gases (NMOGs) emitted from laboratory and ambient biomass burning smoke: evaluating the influence of furans and oxygenated aromatics on ozone and secondary NMOG formation

Abstract. Chamber oxidation experiments conducted at the Fire Sciences Laboratory in 2016 are evaluated to identify important chemical processes contributing to the hydroxy radical (OH) chemistry of biomass burning non-methane organic gases (NMOGs). Based on the decay of primary carbon measured by proton transfer reaction time-of-flight mass spectrometry (PTR-ToF-MS), it is confirmed that furans and oxygenated aromatics are among the NMOGs emitted from western United States fuel types with the highest reactivities towards OH. The oxidation processes and formation of secondary NMOG masses measured by PTR-ToF-MS and iodide-clustering time-of-flight chemical ionization mass spectrometry (I-CIMS) is interpreted using a box model employing a modified version of the Master Chemical Mechanism (v. 3.3.1) that includes the OH oxidation of furan, 2-methylfuran, 2,5-dimethylfuran, furfural, 5-methylfurfural, and guaiacol. The model supports the assignment of major PTR-ToF-MS and I-CIMS signals to a series of anhydrides and hydroxy furanones formed primarily through furan chemistry. This mechanism is applied to a Lagrangian box model used previously to model a real biomass burning plume. The customized mechanism reproduces the decay of furans and oxygenated aromatics and the formation of secondary NMOGs, such as maleic anhydride. Based on model simulations conducted with and without furans, it is estimated that furans contributed up to 10 % of ozone and over 90 % of maleic anhydride formed within the first 4 h of oxidation. It is shown that maleic anhydride is present in a biomass burning plume transported over several days, which demonstrates the utility of anhydrides as markers for aged biomass burning plumes.
Multi-robot cooperative carrying in dynamic environment

In the multi-robot cooperative carrying process, traditional reinforcement learning only uses numerical analysis and ignored reasoning approach. To solve this problem, independence reinforcement learning for multi-robot combines with Belief-Desire-Intention(BDI)model, which makes reinforcement learning link logical reasoning capabilities. And the distance nearest principle is employed which means that the nearest robot ranged from obstacles is the leader robot to control other robots move. Evaluation function which changes with the location of multi-robot and the barriers is proposed, and it combines with the behavior weight based on reinforcement learning which becomes more and more optimized through constantly interacting with the environment. Simulation results show that this method is feasible, and the cooperative carrying process can be successfully achieved.
Persuasive Technology Using Computers To Change What We Think And Do

Thank you very much for reading persuasive technology using computers to change what we think and do. As you may know, people have look numerous times for their chosen books like this persuasive technology using computers to change what we think and do, but end up in infectious downloads. Rather than enjoying a good book with a cup of tea in the afternoon, instead they juggled with some infectious virus inside their laptop.
Antibiotics from Gliding Bacteria, LIV. Isolation and Structure Elucidation of Soraphen A1α, a Novel Antifungal Macrolide from Sorangium cellulosum†

From the myxobacterium Sorangium cellulosum, strain So ce26, a novel group of highly active antifungal metabolites was isolated. Large-scale production of the basic compound soraphen A1α (1) was achieved by fermentation in the presence of the adsorber resin XAD-16, extraction and crystallization. The 18-membered macrolide structure of 1 was determined by spectroscopic methods. X-ray crystal structure analysis revealed the absolute configuration of the ten asymmetric centers. According to proton coupling constants and difference NOE measurements the solution conformation in CDCl3 and [D6]DMSO is very similar to that in the crystal structure.
Data Field Based Large Scale Ontology Mapping

As the cornerstone of ontology based data integration,data exchange and metadata management,ontology mapping,aiming to obtain semantic correspondences between two ontologies,has attracted wide attentions of researchers in community of the Semantic Web.However when getting the alignments between two large-scale ontologies,the existed mapping methods are not very effective and efficient due to neglecting of relevant sub-ontologies in those two ontologies.For addressing this important issue,in this paper,a data field based ontology mapping approach is proposed to improve the effectiveness and the efficiency of large scale ontology mapping tasks.At first,this approach employs a light weight similarity computing method to collect the initial relevance values between one ontology's elements to another ontology.Then,the potential functions of a data field are taken into account to revise the relevance of an ontology element according to its surroundings.Finally,the relevant sub-ontologies are found and extracted,and a fine-grained alignment approach is used to mapping between the extracted ontologies for better results.The experiments show that the proposed approach is able to effectively deal with the large scale ontology mapping issue with the satisfactory efficiency.
Complexity analysis of EEG signals

Electroencephalogram (EEG) is known to be a complex time series signal and also is important in clinical neurophysiology. Here the technique of easily calculable measure of complexity C was applied to the analysis of EEG signals. Sixteen-channel EEG signals of 20 normal and 20 apoplectic subjects between 55 and 78 years of age were measured monopolarly according to the international ten-twenty system with the ipsilateral ear (A1 or A2) as the reference. The results show that the C values for the normal population are significantly higher than those of the apoplectic population at 0.01 confidence level for all channels and the authors propose that complexity C could help determine if EEG is normal or abnormal.
AUTOMATIC GENERATION OF ENGLISH LANGUAGE TEST QUESTIONS USING MATHEMATICA

This paper describes a computer algebra-aided generation of two types of English language tests, which further develops our recent work in this domain. The computer algebra system Wolfram Mathematica significantly advances the process of English language testing and assessment. The automatic generation of questions allows us to create a large set of equivalent questions of a certain topic based on a small amount of input values. This reduces authoring time during test creation, avails application of equal criteria and a fair assessment, and decreases the influence of subjective factors. In our previous work, we proposed methods for automatic generation of English language test questions. These were aimed at evaluating the students’ knowledge of lexical and grammatical structures found in the text using test questions that involved matching words and their meaning, matching parts of the whole, and finding synonyms, antonyms, and generalizations or specializations of words. This paper provides new methods for the automatic generation of English language test questions. This includes generating questions for testing the students’ knowledge of adverbs and adjectives, as well as word formation, especially with negative forms of adjectives.
Diastereoselective Synthesis of Quaternary α-Amino Acids from Diketopiperazine Templates.

Diastereoselective synthesis of quaternary α-amino acids from diketopiperazine templates Stephen G. Davies, A. Christopher Garner, Jaqueline V. A. Ouzman, Paul M. Roberts, Andrew D. Smith, Emma J. Snow, James E. Thomson, Juan A. Tamayo and Richard J. Vickers. Department of Organic Chemistry, Chemistry Research Laboratory, University of Oxford, Mansfield Road, Oxford, OX1 3TA, UK e-mail: steve.davies@chem.ox. ac.uk
Privacy And Detecting Malicious Packet Dropping In Wireless Ad Hoc Network

: Packet dropping is common attacks occur in wireless Ad hoc Network. This threat occurs when the data is transmitted from one source to destination. The attack may be classified into two types one is malicious packet dropping. And another one is link error. This can be overcome by the proposed scheme by implementing Homomorphic Linear Authenticator (HLA). It is the public auditing scheme to detect the malicious node in WANET. HLA act like an auditor to detect the packet losing schemes in the network. The main advantage of this scheme will securely transmit the data in WANET. The packet dropping rate is comparable to the channel error rate, conventional algorithms that are based on detecting the packet loss rate cannot achieve satisfactory detection accuracy. To improve the detection accuracy, the correlations between lost packets is identified. HLA based public auditing architecture is developed to verify the truthfulness of the packet loss information reported by nodes. Thus the implementation is useful to avoid packet dropping attack in Wireless Ad hoc Network.
Study of Text Classification Using Context

Automatic text categorization system cannot directly understand its semantic and classification,need text pretreatment,extraction can express text topics content keywords,,these keywords using structured stored together to form the text representation.According to the common characteristics presented by a large number of words,a context-based text classification method is put forward.This method defines the similarity and weights of words using the context relations between them,which expressed more scientific terms in this category in the semantic representation,thus improve the quality of text categorization better.Experimental results show that the method of classification context-based performance has significantly improved compared with the traditional simple vector distance classification.
Data mining technology based on rough set and genetic algorithm under large data environment

New requirements drive the birth of new technologies. Data analysis is the foundation of scientific research, many scientific research is based on data collection and analysis. This paper introduces the basic theory of classical rough set, which is based on the equivalence relation, and uses an upper and lower approximation to represent an imprecise concept. Property reduction is one of the core problems of rough set theory. The heuristic algorithm find attribute reduction is an effective way to solve the problem. On the basis of rough reduction algorithm based on rough set theory, this paper makes a preliminary realization of the problem based on rough set theory, which includes: data discretization, knowledge reduction, rule extraction. The coarsening algorithm based on rough set theory for attribute reduction is essentially a range of attribute values which narrow to wide process.
Identification of Hybrid Cloud Architecture Best Practices with a Focus on Data Center Optimization and Orchestration Gap Avoidance

This annotated bibliography provides a source of scholarly references that highlight hybrid cloud solutions developed within the past decade to reflect the most recent changes in technology. Current challenges in designing hybrid cloud solutions are to optimize the data center and avoid orchestration gaps. The target audience members for the study are marketing groups within the enterprise who market hybrid cloud solutions.
Chemistry of Nucleic Acids: Impacts in Multiple Fields

Research in nucleic acids has made major advances in the past decade in multiple fields of science and technology. Here we discuss some of the most important findings in DNA and RNA research in the fields of biology, chemistry, biotechnology, synthetic biology, nanostructures and optical materials, with emphasis on how chemistry has impacted, and is impacted by, these developments. Major challenges ahead include the development of new chemical strategies that allow synthetically modified nucleic acids to enter into, and function in, living systems.
Biochemical changes in carbohydrates metabolism in experimentally induced rheumatoid arthritis in rats

In the present study, the effect of Complete Freund`s adjuvant induced rheumatoid arthritis on serum Glucose, Nitric Oxide, Cortisol, Lactic acid, Pyruvic acid, Pantothenic acid, Pentosidine, Na/K ATPase, Interleukin 8 and Sialic acid in rats have been evaluated. Forty female albino rats were divided into two equal groups (20 each). Group Ι (Control group): received no drugs. Group II: (Rheumatoid Arthritis group) injected subcutaneously with Complete Freund`s adjuvant at a dose of (0.1 mg /kg body weight dissolved in 1 ml saline) for rheumatoid arthritis induction. Blood samples were collected from all groups after 2 and 4 weeks from injection. The obtained results showed that there is the experimental arthritis accompanied with significant increases in serum Glucose, Nitric oxide, Cortisol, Lactic acid, Pentosidine, Interleukin 8 and Sialic acid levels. On the other hands, pyruvic acid level, Na/k ATPase activity and pantothenic acid levels were significantly decreased.
Efficient identity-based proxy blind signature

With proxy signature, an original signer can entrust his signing authority to a proxy signer. In blind signature scheme, a message and the signature result was unknown to the signer. An efficient identity-based proxy blind signature scheme was proposed by using bilinear pairings and combining proxy signature with blind signature. Analysis shows that the proposed scheme can satisfy all the required properties of a proxy blind signature. Furthermore, its efficiency is also better than that of the existing ones.
Semiotics of Programming

This book provides a semiotic analysis of computer programs along three axes: models of signs, kinds of signs, and systems of signs. Because computer programs are well defined and rigid, applying semiotic theories to them will help to reorganize the semiotic theories themselves. Moreover, semiotic discussion of programming theory can provide possible explanations for why programming has developed as it has and how computation is fundamentally related to human semiosis. The goal of this book is to consider the question of what computers can and cannot do, by analyzing how computer sign systems compare to those of humans. A key concept throughout is reflexivity - the capability of a system or function to reinterpret what it has produced by itself. Sign systems are reflexive by nature, and humans know how to make the most of this characteristic but have not yet fully implemented it into computer systems. Therefore, the limitations of current computers can be ascribed to insufficient reflexivity.