Miracle-dz/UniFAR-FTUs huggingface dataset:
Data Privacy Preservation in Collaborative Filtering Based Recommender Systems

OF DISSERTATION DATA PRIVACY PRESERVATION IN COLLABORATIVE FILTERING BASED RECOMMENDER SYSTEMS This dissertation studies data privacy preservation in collaborative filtering based recommender systems and proposes several collaborative filtering models that aim at preserving user privacy from different perspectives. The empirical study on multiple classical recommendation algorithms presents the basic idea of the models and explores their performance on real world datasets. The algorithms that are investigated in this study include a popularity based model, an item similarity based model, a singular value decomposition based model, and a bipartite graph model. Top-N recommendations are evaluated to examine the prediction accuracy. It is apparent that with more customers’ preference data, recommender systems can better profile customers’ shopping patterns which in turn produces product recommendations with higher accuracy. The precautions should be taken to address the privacy issues that arise during data sharing between two vendors. Study shows that matrix factorization techniques are ideal choices for data privacy preservation by their nature. In this dissertation, singular value decomposition (SVD) and nonnegative matrix factorization (NMF) are adopted as the fundamental techniques for collaborative filtering to make privacy-preserving recommendations. The proposed SVD based model utilizes missing value imputation, randomization technique, and the truncated SVD to perturb the raw rating data. The NMF based models, namely iAux-NMF and iCluster-NMF, take into account the auxiliary information of users and items to help missing value imputation and privacy preservation. Additionally, these models support efficient incremental data update as well. A good number of online vendors allow people to leave their feedback on products. It is considered as users’ public preferences. However, due to the connections between users’ public and private preferences, if a recommender system fails to distinguish real customers from attackers, the private preferences of real customers can be exposed. This dissertation addresses an attack model in which an attacker holds real customers’ partial ratings and tries to obtain their private preferences by cheating recommender systems. To resolve this problem, trustworthiness information is incorporated into NMF based collaborative filtering techniques to detect the attackers and make reasonably different recommendations to the normal users and the attackers. By doing so, users’ private preferences can be effectively protected.
Policy based runtime verification of information flow.

Standard security mechanism such as Access control, Firewall and Encryption only focus on controlling the release of information but no limitations are placed on controlling the propagation of that confidential information. The principle problem of controlling sensitive information confidentiality starts after access is granted. The research described in this thesis belongs to the constructive research field where the constructive refers to knowledge contributions being developed as a new framework, theory, model or algorithm. The methodology of the proposed approach is made up of eight work packages. One addresses the research background and the research project requirements. Six are scientific research work packages. The last work package concentrates on the thesis writing up. There is currently no monitoring mechanism for controlling information flow during runtime that support behaviour configurability and User interaction. Configurability is an important requirement because what is considered to be secure today can be insecure tomorrow. The interaction with users is very important in flexible and reliable security monitoring mechanism because different users may have different security requirements. The interaction with monitoring mechanism enables the user to change program behaviors or modify the way that information flows while the program is executing. One of the motivation for this research is the information flow policy in the hand of the end user.
Searching for, and identifying Protein Information in the Literature

As research papers grow in volume and in quantity, there is still to this day, a hassle to locate desired articles based on specific protein names and/or Protein-Protein-Interactions. This is due to the everlasting problem of extracting protein names and Protein-Protein-Interactions from bio-medical papers and articles. The goal of this thesis was to investigate an approach that suggests the use of the Lucene framework for storing and indexing different articles found in bio-medical databases and being able to effciently identify protein names and possible interactions that exist in them. The system, dubbed MasterPPI, locates protein names and Protein-Protein-Interaction keywords with the help of two dictionaries, and when these are found and labeled, determins a Protein-Protein-Interaction if a specific interaction-keyword is present in a sentence, between to protein names. When tested against the test collection from the IAS subtask in the BioCreAtIvE2 challenge; the prototype system achieved a f-score of 0.34, showing that the system has potential, but needs a great deal of work.
The Art of Readable Code

As programmers, we've all seen source code that's so ugly and buggy it makes our brain ache. And let's be honest, we've all written code like that. With this book, you'll learn to write code that's easy to read and understand. You'll have more fun and your coworkers will love you. The Art of Coding focuses on the nuts and bolts of programming, with simple and practical techniques you can use every time you sit down to write code. You'll find tips throughout the book, with easy-to-digest code examples, helpful illustrations, and cartoons for fun. * Learn to pick variable names that are "dense with information" * Organize your loops and conditionals so they're easy to understand * Make your comments short and sweet * Recognize when your code is doing too many things at once * Write tests that are concise, but thorough * Master the art of breaking hard problems into many smaller ones
Control and Cybernetics

: Iterative Learning Control (ILC) is well established in control of linear and nonlinear dynamic systems, both as to underlying theory and experimental validation. This approach speciﬁcally aims at applications with the same operation repeated over ﬁnite time intervals and reset taking place between subsequent executions (the trials). The main principle behind ILC is to suitably use information from previous trials in selection of the input signal in the current trial with the objective of performance improvement from trial to trial. In this paper, new computationally eﬃcient results are presented for an extension of the ILC approach to the uncertain 2D systems that arise from time and space discretization of partial differential equations. This type of application implies the need to use a spatio–temporal setting for the analysis of the control procedure. The resulting control laws can be computed using Linear Matrix Inequalities (LMIs). An illustrative example is provided.
Hind Bg PURIFY 25 Obp 9 SPROMOTER V DIGEST Mbo FRAGMENT 5 ' REGIONS PURIFY 455 bp FRAGMENT Mbo

Related U.S. Application Data In one aspect the present invention relates to the use of viral 63 continuation of ser. No. 300029, sep. 2, 1994, Pat No. promoters in the expression of chimeric genes in plant cells. 5,530,196, which is a continuation of Ser. No. 146,621, Oct. In another aspect this invention relates to chimeric genes 28, 1993, Pat. No. 5,352.605, which is a continuation of Ser. which are capable of being expressed in plant cells, which N. E.Rebago,which is Sh utilize promoter regions derived from Viruses which are aO. O. Ye. Y.O. 492, Nov. 1 1, , abandoned, whic is a continuation-in-part of Ser. No. 485,568, Apr. 15, 1983, capable o f infecting plant cells. One Such virus comprises abandoned, which is a continuation-in-part of Ser. No. the cauliflower mosaic virux (CaMV). Two different pro 458,414, Jan. 17, 1983, abandoned. moter regions have been derived from the CaMV genome 6 and ligated to heterologous coding Sequences to form chi 51 Int. Cl. IN is: IN5 meric genes. These chimeric genes have been shown to be 52 U.S. C. 435/1723: 435 691. 435/320.1 expressed in plant cells. This invention also relates to plant 52) O X O -O "435/41s: 5. 46. S. 23 2. 24. cells, plant tissue, and differentiated plants which contain 58) Field of S s /419; s 3624 1. 2. 72 and express the chimeric genes of this invention. O NaCl . *-is as
Knowledge Acquisition and Technology-Supported Projects in the Social Studies for Students with Learning Disabilities

All citizens are expected to participate in the processes of democratic decision making in the postschool years, and the goals of social studies education have long included the preparation of an informed citizenry. However, surveys show that social studies instruction is often not provided for students with disabilities, and those that receive instruction do poorly compared to their nondisabled peers. Students' poor performance is exacerbated by the reliance on “inconsiderate” textbooks that are often poorly organized, lacking in content, and devoid of important background information. Project-based instruction is an alternative to the exclusive reliance on textbook-based instruction in the social studies. Students investigate a problem or question and develop artifacts based on these investigations. In this study, students with learning disabilities, working under two different conditions, developed projects about factors that precipitated the American Revolutionary War. Students in both conditions worked cooperatively to learn about some aspect of the Revolutionary War, and they then contributed to the construction and presentation of a group report about the topic. However, students in one group had access to word processing tools, and the other had access to word processing and multimedia presentation tools in developing their projects. Analyses of students' knowledge revealed a substantial improvement in both conditions after the completion of the projects.
Real-World Data Mining: Applied Business Analytics and Decision Making

Foreword viii Chapter 1: Introduction to Analytics 1 Chapter 2: Introduction to Data Mining 31 Chapter 3: The Data Mining Process 67 Chapter 4: Data and Methods in Data Mining 93 Chapter 5: Data Mining Algorithms 141 Chapter 6: Text Analytics and Sentiment Analysis 183 Chapter 7: Big Data Analytics 231 Index 265
TCP/IP Networking: Architecture, Administration, and Programming

I. ARCHITECTURE. 1. Internetworking with TCP/IP. 2. The Worldwide Internet. 3. TCP/IP Architecture. 4. TCP/IP Addressing. II. APPLICATION LAYER PROTOCOLS AND SERVICES. 5. Application Services. 6. Network File System. 7. Domain Name System. III. TRANSPORT LAYER PROTOCOLS. 8. User Datagram Protocol. 9. Transmission Control Protocol. IV. INTERNET LAYER PROTOCOLS. 10. Internet Protocol. 11. ARP and RARP Address Resolution. 12. Internet Control Message Protocol. 13. Routing Protocols. V. INTERNET ADMINISTRATION. 14. Network Management. 15. Installation and Administration. 16. Troubleshooting. VI. CLIENT-SERVER PROGRAMMING. 17. Client-Server Computing. 18. TCP/IP Programming Fundamentals. 19. Socket Programming. 20. Remote Procedure Call Programming. APPENDICES. A. Physical Network Technologies. B. OSF Distributed Computing Environment. C. Requests for Comments. Index.
To the one

Although the institutions and liturgies of the Church of England were formally abolished between 1642 and 1659, the Act of Uniformity in 1662 restored it to complete ascendancy as the national church. The triumph of the Royalist Anglican faction in parliament as well as the Church of England's return to dominance have been documented by historians. John Spurr and Blair Worden have indicated that whilst Cromwell's regime officially endorsed Presbyterian orders and a broad national Church, he exhibited considerable indulgence to Protestant sectarians as well as to Anglicans. Moreover, during the 1650s an older generation of Anglicans, lay and clerical, continued to conduct their religious and social lives according to the traditions of the pre-war Church. A number of bishops who were to gain prominence in later years were ordained in this surreptitious way. Additionally, this current of traditional Anglican practice gained increasing momentum in the country after 1660 despite the uncertain status of the religious settlement in London. In 1660 the Church of England was very far from moribund. This is only part of the story of the restored Church's institutional success. As early as 1659, when the fall of Richard Cromwell initiated a twelve-month long contest for power in London, Anglican polemicists, apologists, and theologians were developing a case for why the Church of England alone would resolve the nation's political and religious problems. Prior to the spring of 1660 neither the return of the Church of England nor
High-resolution, yet statistically relevant, analysis of damage in DP steel using artificial intelligence

High performance materials, from natural bone over ancient damascene steel to modern superalloys, typically possess a complex structure at the microscale. Their properties exceed those of the individual components and their knowledge-based improvement therefore requires understanding beyond that of the components' individual behaviour. Electron microscopy has been instrumental in unravelling the most important mechanisms of co-deformation and in-situ deformation experiments have emerged as a popular and accessible technique. However, a challenge remains: to achieve high spatial resolution and statistical relevance in combination. Here, we overcome this limitation by using panoramic imaging and machine learning to study damage in a dual-phase steel. This high-throughput approach not only gives us strain and microstructure dependent insights across a large area of this heterogeneous material, but also encourages us to expand current research past interpretation of exemplary cases of distinct damage sites towards the less clear-cut reality.
Two-dimensional phase-space analysis and bifurcation study of the dynamical behaviour of a semiconductor ring laser

A basic rate equation model of a quantum-well semiconductor ring laser is reduced to two equations using asymptotic methods. The reduced model allows for analytical expressions of the bifurcation points, which will simplify future model parameter estimations, and motivates a two-dimensional phase-space description of the dynamical behaviour. An analysis of the bifurcation scenarios in different parameter regimes is pursued. Physical conditions for the emergence of the operating regimes are assessed quantitatively in terms of saturation processes and backscattering mechanisms.
Data Security in Unattended Wireless Sensor Networks

In traditional Wireless Sensor network’s (WSN’s), the sink is the only unconditionally trusted authority. If the sink is not connected to the nodes for a period of time then the network is considered as unattended. In Unattended Wireless Sensor Network (UWSN), a trusted mobile sink visits each node periodically to collect data. This network differs from the traditional multi hop wireless sensor networks where the nodes close to the sink deplete their power earlier than the other nodes. An UWSN can prolong the life time of the network by saving the battery of the nodes and also it can be deployed in environments where it is not practical for the sink to be online all the time. Saving data in the memory of the nodes for a long time causes security problems due to the lack of tamper-resistant hardware. Data collected by the nodes has to be secured until the next visit of the sink. Securing the data from an adversary in UWSN is a challenging task. We present two non-cryptographic algorithms (DS-PADV and DS-RADV) to ensure data survivability in mobile UWSN. The DS-PADV protects against proactive adversary which compromises nodes before identifying its target. DS-RADV makes the network secure against reactive adversary which compromises nodes after identifying the target. We also propose a data authentication scheme against a mobile adversary trying to modify the data. The proposed data authentication scheme uses inexpensive cryptographic primitives and few message exchanges. The proposed solutions are analyzed both mathematically and using simulations proving that the proposed solutions are better than the previous ones in terms of security and communication overhead.
21-year timing of the black-widow pulsar J2051−0827

Timing results for the black-widow pulsar J2051−0827 are presented, using a 21-year dataset from four European Pulsar Timing Array telescopes and the Parkes radio telescope. This dataset, which is the longest published to date for a black-widow system, allows for an improved analysis that addresses previously unknown biases. While secular variations, as identified in previous analyses, are recovered, short-term variations are detected for the first time. Concurrently, a significant decrease of ∼2.5×10−3 cm−3pc in the dispersion measure associated with PSR J2051−0827 is measured for the first time and improvements are also made to estimates of the proper motion. Finally, PSR J2051−0827 is shown to have entered a relatively stable state suggesting the possibility of its eventual inclusion in pulsar timing arrays.
WHITE DWARFS IN THE UKIRT INFRARED DEEP SKY SURVEY DATA RELEASE 9

We have identified 8 to 10 new cool white dwarfs from the Large Area Survey (LAS) Data Release 9 of the United Kingdom InfraRed Telescope (UKIRT) Infrared Deep Sky Survey (UKIDSS). The data set was paired with the Sloan Digital Sky Survey to obtain proper motions and a broad ugrizYJHK wavelength coverage. Optical spectroscopic observations were secured at Gemini Observatory and confirm the degenerate status for eight of our targets. The final sample includes two additional white dwarf candidates with no spectroscopic observations. We rely on improved one-dimensional model atmospheres and new multi-dimensional simulations with CO5BOLD to review the stellar parameters of the published LAS white dwarf sample along with our additional discoveries. Most of the new objects possess very cool atmospheres with effective temperatures below 5000 K, including two pure-hydrogen remnants with a cooling age between 8.5 and 9.0 Gyr, and tangential velocities in the range 40 km s−1 ⩽vtan ⩽ 60 km s−1. They are likely thick disk 10–11 Gyr old objects. In addition, we find a resolved double degenerate system with vtan ∼ 155 km s−1 and a cooling age between 3.0 and 5.0 Gyr. These white dwarfs could be disk remnants with a very high velocity or former halo G stars. We also compare the LAS sample with earlier studies of very cool degenerates and observe a similar deficit of helium-dominated atmospheres in the range 5000 < Teff (K) < 6000. We review the possible explanations for the spectral evolution from helium-dominated toward hydrogen-rich atmospheres at low temperatures.
Merits and Limits: Applying open data to monitor open access publications in bibliometric databases

Identifying and monitoring Open Access (OA) publications might seem a trivial task while practical efforts prove otherwise. Contradictory information arise often depending on metadata employed. We strive to assign OA status to publications in Web of Science (WOS) and Scopus while complementing it with different sourcesof OA information to resolve contradicting cases. We linked publications from WOS and Scopus via DOIs and ISSNs to Unpaywall, Crossref, DOAJ and ROAD. Only about 70% of articles and reviews from WOS and Scopus could be matched via a DOI to Unpaywall. Matching with Crossref brought 53 distinct licences, which define in many cases the legally binding access status of publications. But only 53% of publications hold only a single licence on Crossref, while more than 42% have no licence information submitted to Crossref. Contrasting OA information from Crossref licences with Unpaywall we found contradictory cases overall amounting to more than 13%, which might be partially explained by (ex-)including green OA. A further manual check found about 17% of OA publications that are not accessible and about 15% non-OA publications that are accessible through publishers’ websites. These preliminary results suggest that identification of OA state of publications denotes a difficult and currently unfulfilled task.
Pure Exploration with Multiple Correct Answers

We determine the sample complexity of pure exploration bandit problems with multiple good answers. We derive a lower bound using a new game equilibrium argument. We show how continuity and convexity properties of single-answer problems ensures that the Track-and-Stop algorithm has asymptotically optimal sample complexity. However, that convexity is lost when going to the multiple-answer setting. We present a new algorithm which extends Track-and-Stop to the multiple-answer case and has asymptotic sample complexity matching the lower bound.
Distance metric learning based on structural neighborhoods for dimensionality reduction and classification performance improvement

Distance metric learning can be viewed as one of the fundamental interests in pattern recognition and machine learning, which plays a pivotal role in the performance of many learning methods. One of the effective methods in learning such a metric is to learn it from a set of labeled training samples. The issue of data imbalance is the most important challenge of recent methods. This research tries not only to preserve the local structures but also covers the issue of imbalanced datasets. To do this, the proposed method first tries to extract a low dimensional manifold from the input data. Then, it learns the local neighborhood structures and the relationship of the data points in the ambient space based on the adjacencies of the same data points on the embedded low dimensional manifold. Using the local neighborhood relationships extracted from the manifold space, the proposed method learns the distance metric in a way which minimizes the distance between similar data and maximizes their distance from the dissimilar data points. The evaluations of the proposed method on numerous datasets from the UCI repository of machine learning, and also the KDDCup98 dataset as the most imbalance dataset, justify the supremacy of the proposed approach in comparison with other approaches especially when the imbalance factor is high.
Mind the Mining

In this paper we revisit the mining strategies in Proof of Work based cryptocurrencies and propose two strategies, which we call smart and smarter mining, that in many cases strictly dominate honest mining. In contrast to other known attacks, such as selfish mining, which induce zero-sum games among the miners, the strategies proposed in this paper increase miners' profit by reducing their variable costs (i.e., electricity). Moreover, the proposed strategies are viable for much smaller miners than previously known attacks and, surprisingly, an attack launched by one miner can be profitable for all other miners as well. While saving electricity is very encouraging for the environment, it may affect the coin's security. The smart and smarter mining strategies expose the coin to under 50% attacks, and this vulnerability might only grow when new miners join the coin in response to the increased profit margins induced by these strategies.