Miracle-dz/UniFAR-FTUs huggingface dataset:
Privacy Control Methods for Updating Confidential Databases

 Abstract — Personalized information is removed from the original data to protect personal or private information is anonymization. The data anonymization can be performed in many ways, but in this paper the the k-anonymization approach is used. If an owner owns a k-anonymous database and needs to determine whether the database, when inserted with a tuple owned by others, is still k-anonymous. The access to the database is strictly controlled, because for example data are used for certain experiments that need to be maintained confidential. Allowing the owner to directly read the contents of the tuple breaks the privacy of others (for example, salary information of individuals). The confidentiality of the database managed by the owner is violated once others have access to the contents of the database. Thus, the problem is to check whether the database inserted with the tuple is still k-anonymous, without letting the owner and others to know the contents of the tuple and the database, respectively. There are two protocols suppression-based and generalization-based k-anonymous and confidential databases.
Intracellular second messengers involved in melatonin signal transduction in chicken splenocytes in vitro

Abstract: The pineal hormone melatonin exhibits immunomodulatory activity well documented in mammals and birds. The mechanism of melatonin action within the immune system is, however, poorly understood. In mammalian immune cells in vitro, melatonin acts mainly as an antiapoptotic, oncostatic and antiproliferative agent, and these effects are exerted via specific receptors or are related to its free radical scavenging activity. In previous studies we have found that in short‐term chicken splenocyte cultures in vitro melatonin stimulated basil proliferation and inhibited that stimulated with phytohemagglutinin, a T‐cell mitogen. This paper is devoted to the involvement of membrane receptors, previously characterised by us as MT2 (Mel1b) and Mel1c subtypes, in the above mentioned melatonin effects in chicken splenocyte cultures. For this purpose, in present study a nonselective melatonin receptor antagonist, luzindole, and the selective MT2 blocker, 4P‐PDOT, were used. The effect of melatonin on second messengers, cyclic adenosine‐3′,5′‐monophosphate (cAMP) and inositol‐1,4,5‐trisphosphate (IP3), involved in the regulation of proliferation, was examined. We have found that the stimulation of proliferation occurs via Mel1c receptor and is associated with the changes in intracellular second messengers concentration: a decrease in cAMP and an increase in IP3. In contrast, in mitogen‐activated splenocytes, melatonin‐induced inhibition of proliferation is mediated by MT2 receptors and is related to cAMP accumulation, as well as a decrease in IP3. In conclusion, we have demonstrated that the stimulatory and inhibitory effect of melatonin on chicken splenocytes in vitro, dependent on the magnitude of cell stimulation, resulted from two different subtypes of membrane receptors.
Definition and Measures of an Opinion Model for Mining Forums

Online discussion systems in the form of forums have recently been analyzed by using graphs and social network techniques. Each forum is regarded as a social network and it is modeled by a graph whose vertices represent forum participants. In this paper, we focus on the structure and the opinion content of the forum posts and we are looking at the social network that is developed from a semantics point of view. We formally define an opinion-oriented model whose purpose is to provide complementary information to the knowledge extracted by the social network model. We define and present measures that can give important information regarding the opinion flow as well as the general attitude of users and towards users throughout the whole forum. Applying our model to a real forum found on the Web shows the additional information that can be extracted.
Fractional derivative operators for modeling the dynamic polarization behavior as a function of frequency and electric field amplitude

Polarization phenomena in ferroelectric materials are frequency-dependent, and the present article describes the use of a fractional derivative for the understanding of these phenomena as well as modeling them as functions of frequency and electric field amplitude. The focus was first directed toward the definition and validation of the proposed model through comparisons between simulations and measurements for high electrical field excitation amplitudes on a large frequency bandwidth (major hysteresis loops, measured over 4 decades). Subsequently, the same comparisons were made under ultra-weak as well as weak electric fields. Large frequency bandwidths were tested in each case, and it was shown that the fractional term provided a very accurate modeling of the dynamic behavior of the ferroelectrics. The dielectric permittivity coefficient along the polarization direction epsiv33 is a major parameter in ferroelectrics, and the frequency dependence of epsiv33 is correctly reproduced by the model. The time-dependence of the polarization reversal/variation was accurately simulated by a fractional derivation (a 0.5 order derivative), however, the use of a first-order derivation term (i.e., viscous losses) was in poor agreement with experimental results. It was found that the model was valid for large excitation field amplitudes as well as for large frequency bandwidths.
A Framework for Collaborative Content Mashup with Pervasive Services

By composing pervasive services, mobile phones can support various industrial and commercial needs. However, the pervasive services composition involves discovering and processing a large amount of data in order to identify and interpret the content. Due to the limitation of the single device capability, it is advisable to collaborate with other devices via a wireless network to accomplish common goals. In this thesis, we propose and develop a generic framework that supports service-oriented content mashup and integrating pervasive services composition in the Business Process Execution Language (BPEL)based collaboration. A resource-aware offloading scheme to collaborative devices has been proposed and implemented as a proof of concept. The evaluation results have shown that the framework supports collaborative task-offloading scheme that reduces the resource usage of mobile devices.
Promoting physical activity for elders with compromised function: the lifestyle Interventions and Independence for elders (LIFE) study physical activity intervention

The Lifestyle Interventions and Independence for Elders (LIFE) Study is a Phase III randomized controlled clinical trial (Clinicaltrials.gov identifier: NCT01072500) that will provide definitive evidence regarding the effect of physical activity (PA) on major mobility disability in older adults (70–89 years old) who have compromised physical function. This paper describes the methods employed in the delivery of the LIFE Study PA intervention, providing insight into how we promoted adherence and monitored the fidelity of treatment. Data are presented on participants’ motives and self-perceptions at the onset of the trial along with accelerometry data on patterns of PA during exercise training. Prior to the onset of training, 31.4% of participants noted slight conflict with being able to meet the demands of the program and 6.4% indicated that the degree of conflict would be moderate. Accelerometry data collected during PA training revealed that the average intensity – 1,555 counts/minute for men and 1,237 counts/minute for women – was well below the cutoff point used to classify exercise as being of moderate intensity or higher for adults. Also, a sizable subgroup required one or more rest stops. These data illustrate that it is not feasible to have a single exercise prescription for older adults with compromised function. Moreover, the concept of what constitutes “moderate” exercise or an appropriate volume of work is dictated by the physical capacities of each individual and the level of comfort/stability in actually executing a specific prescription.
A Signature-Free Buffer Overflow Attack Blocker Using Genetic Programming

Now days internet threat takes a blended attack form, targeting individual users to gain control over networks and data. Buffer Overflow which is one of the most occurring security vulnerabilities in Internet services such as such as web service, cloud service etc. Motivated by the observation that buffer overflow attacks typically contain executables whereas legitimate client requests never contain executables in most Internet services. Unlike the previous detection algorithms, a new SigFree uses a Genetic Programming technique that is generic, fast, and hard for exploit code to evade. SigFree blocks attacks by detecting the presence of code, it is a signature free, thus it can block new and unknown buffer overflow attacks; SigFree is also immunized from most attack-side code obfuscation. To do so, we pay particular attention to the formulation of an appropriate fitness function and partnering instruction set. Moreover, by making use of the intron behaviour inherent in the genetic programming paradigm, we are able to explicitly Obfuscate the true intent of the code. All the resulting attacks Defeat the widely used in Intrusion Detection System.
A reliable position estimation method of the service robot by map matching

In this paper, a reliable position estimation method of the indoor service robot is proposed. The service robot PSR1 is a wheeled mobile manipulator which navigates in office buildings. Our localization method is a map-matching scheme using scanned range data, without using any artificial landmark. The proposed algorithm can provide solutions for both a global localization problem and a local position tracking. A probabilistic position estimation scheme is designed based on MCL (Monte Carlo localization). Two measure functions are developed for computing positional probabilities. The robot automatically decides whether it uses geometric pattern matching (i.e. walls, pillars) by Hough transform. The proposed scheme shows reliable performance in both polygonal environments and non-polygonal environments even there exist many obstacles. Experimental results demonstrate the validity and feasibility of the proposed localization algorithm for the service robot to navigate in an office building, using the natural environmental characteristics.
Supporting children's web search in school environments

Nowadays, the Internet represents a ubiquitous source of information and communication. Its central role in everyday life is reflected in the curricula of modern schools. Already in early grades, children are encouraged to search for information on-line. However, the way in which they interact with state-of-the-art search interfaces and how they explore and interpret the presented information, differs greatly from adult user behaviour. This work describes a qualitative user study in which the Web search behaviour of Dutch elementary school children was observed and classified into roles motivated by prior research in cognitive science. Building on the findings of this survey, we propose an automatic method of identifying struggling searchers in order to enable teaching personnel to provide appropriate and targeted guidance where needed.
Understanding democratic politics : an introduction

PART ONE: CONCEPTS Sovereignty - Roland Axtmann Constitutionalism - Neil Walker Human Rights and Democracy - David Beetham Justice, Equality, Liberty - Vittorio Bufacchi Power, Authority, Legitimacy - Noel O'Sullivan Representative and Direct Democracy - Michael Saward Majoritarianism - Thomas O Hueglin Consociationalism Pluralism - Judith Squires Difference Civil Society - Roland Axtmann National and Global Class - Roland Axtmann and Robert Grant Elites PART TWO: INSTITUTIONS AND POLITICAL BEHAVIOUR The Territorial State - Michael Keating Government, Civil Service and Public Policies - Grant Jordan and Emma Clarence Parliaments - David Arter Parties and Party Systems - Byron Criddle Elections and Electoral Systems - Michael Dyer Interest Groups - Wyn Grant Social Movements - Lynn G Bennie Political Participation - George Moyser Social Capital - William A Maloney and Linda Stevenson The Welfare State and Democracy - Michael Lister and Daniel Wincott Cyber-democracy - Peter Ferdinand Democratic Citizenship in the Age of Globalization - Roland Axtmann PART THREE: IDEOLOGIES AND MOVEMENTS Liberalism - Antonino Palumbo Conservatism - Arthur Aughey Socialism - Terrell Carver Marxism Anarchism and Democracy - Patricia Clark and Sharif Gemie Nationalism - Alain Dieckhoffx Contemporary Right-Wing Extremism - Anders Widfeldt Feminism - Kimberly Hutchings Environmentalism - John Barry Democracy and the Islamist Paradox - Abdelwahab El-Affendi Cosmopolitanism - Nicholas Rengger
Indoor Tracking and Navigation Using Received Signal Strength and Compressive Sensing on a Mobile Device

An indoor tracking and navigation system based on measurements of received signal strength (RSS) in wireless local area network (WLAN) is proposed. In the system, the location determination problem is solved by first applying a proximity constraint to limit the distance between a coarse estimate of the current position and a previous estimate. Then, a Compressive Sensing-based (CS--based) positioning scheme, proposed in our previous work , , is applied to obtain a refined position estimate. The refined estimate is used with a map-adaptive Kalman filter, which assumes a linear motion between intersections on a map that describes the user's path, to obtain a more robust position estimate. Experimental results with the system that is implemented on a PDA with limited resources (HP iPAQ hx2750 PDA) show that the proposed tracking system outperforms the widely used traditional positioning and tracking systems. Meanwhile, the tracking system leads to 12.6 percent reduction in the mean position error compared to the CS-based stationary positioning system when three APs are used. A navigation module that is integrated with the tracking system provides users with instructions to guide them to predefined destinations. Thirty visually impaired subjects from the Canadian National Institute for the Blind (CNIB) were invited to further evaluate the performance of the navigation system. Testing results suggest that the proposed system can be used to guide visually impaired subjects to their desired destinations.
Four secretory proteins synthesized by hepatocytes are transported from endoplasmic reticulum to Golgi complex at different rates.

Pulse‐chase experiments in conjunction with subcellular fractionation and quantitative immunoprecipitation have been used to study the intracellular transport of four secretory proteins, albumin, transferrin, prealbumin and retinol‐binding protein, in isolated rat hepatocytes. The proteins were found to be transported from the endoplasmic reticulum (ER) to the Golgi complex (GC) at greatly different rates (t1/2 = 14‐137 min), indicating that transport of secretory proteins between these organelles is effected by a selective, possibly receptor‐mediated process and not through bulk phase transfers. The transport from the Golgi complex to the medium was rapid for all proteins (t1/2 approximately 15 min) and possibly occurred at the same rate. Consistent with these kinetic data, the amount of a rapidly transported protein (albumin) in the GC fraction was found to be high (relative to its amount in the ER fraction) whereas the amount of a slowly transported protein (transferrin) in the GC fraction was found to be low, as determined by radioimmunoassays.
Rough Set Subspace Error-Correcting Output Codes

Among the proposed methods to deal with multi-class classification problems, the Error-Correcting Output Codes (ECOC) represents a powerful framework. The key factor in designing any ECOC matrix is the independency of the binary classifiers, without which the ECOC method would be ineffective. This paper proposes an efficient new approach to the ECOC framework in order to improve independency among classifiers. The underlying rationale for our work is that we design three-dimensional codematrix, where the third dimension is the feature space of the problem domain. Using rough set-based feature selection, a new algorithm, named "Rough Set Subspace ECOC (RSS-ECOC)" is proposed. We introduce the Quick Multiple Reduct algorithm in order to generate a set of reducts for a binary problem, where each reduct is used to train a dichotomizer. In addition to creating more independent classifiers, ECOC matrices with longer codes can be built. The numerical experiments in this study compare the classification accuracy of the proposed RSS-ECOC with classical ECOC, one-versus-one, and one-versus-all methods on 24 UCI datasets. The results show that the proposed technique increases the classification accuracy in comparison with the state of the art coding methods.
Flexible Multi-User MIMO with Limited Feedback

In a Multi-User MIMO (MU-MIMO) spatial multiplexing scheme, multiple users are scheduled in the same resource block (RB). However, due to the wide fluctuation of realistic traffic patterns, it could often occur that only a single or few users have active data that need to be sent. In 3GPP Long Term Evolution (LTE), Single-User MIMO (SU-MIMO) rank one preceding based Channel Quality Indicator (CQI) reporting mechanism is reused for MU-MIMO. This is optimum for MU-MIMO if single user is served. Based on SU-MIMO Rank one reporting, CQI re-calculations at the Basestation (BS) are derived for Space Division Multiple Access (SDMA) mode and Zero-Forcing (ZF) mode respectively. A novel flexible MU-MIMO scheme with rank and mode adaptation is thus proposed for the first time with this limited feedback information. Simulation examples are provided to confirm the advantage of proposed flexible MU-MIMO scheme over SU-MIMO with 3GPP LTE framework.
Essence of Two-Dimensional Principal Component Analysis and Its Generalization: Multi-dimensional PCA

This paper examines the connection between two-dimensional principal component analysis (2DPCA) and traditional one-dimensional principal component analysis (PCA) and theoretically reveals the reason why 2DPCA outperforms PCA. Our finding provides new insights into the computation of 2DPCA and give a new equivalent algorithm for performing 2DPCA based on row vectors of original matrices. Based on the new algorithm, we extend the existing 2DPCA algorithm to its multi-dimensional case by developing a new feature extraction technique for multi-dimensional data called multi-dimensional principal component analysis (MDPCA). Different from 2DPCA and PCA, MDPCA is based on multi-dimensional data rather than 2D image matrices or 1D vectors so the range of PCA-based applications is significantly enlarged. The experimental results also demonstrate that MDPCA can extract more effective and robust multi-dimensional image features than 2DPCA.
The Nature and Frequency of Mathematical Discussion During Lesson Study That Implemented the CMI Framework

THE NATURE AND FREQUENCY OF MATHEMATICAL DISCUSSION DURING A LESSON STUDY THAT IMPLEMENTED THE CMI FRAMEWORK Andrew R. Glaze Department of Mathematics Education Master of Arts During a year-long professional development, the faculty members at an elementary school received instruction on mathematics and how to use the Comprehensive Mathematics Instruction framework. The instruction and the framework were consistent with the standards suggested by the National Council of Teacher of Mathematics (2000). This thesis analyzes the mathematical language used by three fifth-grade teachers who participated in lesson study to create a research lesson based upon the Comprehensive Mathematics Instruction framework.
DAN-based string rewrite computational systems

We describe a DNA computing system called programmed mutagenesis. We prove that it is universal, and present experimental results from a prototype computation. DNA is a material with important characteristics, such as possessing all the information necessary for self-reproduction in the presence of appropriate enzymes and components, simple natural evolution mechanism, and miniature scale, all of which make it an attractive substrate for computation. For computer science, using single DNA molecules to represent the state of a computation holds the promise of a new paradigm of composable molecular computing. For biology, the demonstration that DNA sequences could guide their own evolution under computational rules may have implications as we begin to unravel the mysteries of genome encoding. Programmed mutagenesis is a DNA computing system that uses cycles of DNA annealing, ligation, and polymerization to implement programmatic rewriting of DNA sequences. We report that programmed mutagenesis is theoretically universal by showing how Minsky's 4-symbol 7-state Universal Turing Machine can be implemented using a programmed mutagenesis system. Each step of the Universal Turing Machine is implemented by four cycles of programmed mutagenesis, and progress is guaranteed by the use of alternate sense strands for each rewriting cycle. We constructed a unary counter, an example programmed mutagenesis system, and operated it through three cycles of mutagenesis to gather efficiency data. We showed that the counter operates with increasing efficiency, but decreasing overall yield. The measured efficiency of an in vitro programmed mutagenesis system suggests that the segregation of the products of DNA replication into separate compartments would be an efficient way to implement molecular computation. Naturally occurring phenomena such as gene conversion events and RNA editing processes are also discussed as possible manifestations of programmed mutagenesis-like systems. (Copies available exclusively from MIT Libraries, Rm. 14-0551, Cambridge, MA 02139-4307. Ph. 617-253-5668; Fax 617-253-1690.)
ANTS: Network Services Without the Red Tape

How well distributed computing systems perform depends a great deal on the network services used to move information among their machines. Yet despite this close correspondence, network services have evolved much more slowly than any other part of the distributed system environment. It is not that the networking community lacks innovative ideas: Internet Protocol version 6, Mobile IP, IP Multicast, and Integrated/Differentiated Services aim to support multimedia applications more effectively and to accommodate more hosts, many of them mobile. Unfortunately, progress in implementing these solutions lags far behind the identified need. The main problem is the way network protocols must change. First, network protocols are the main vehicle for achieving interoperability, so any candidate internetworking protocol has to become a standard. This means possibly years between the time someone identifies a need and the time everyone agrees on how to address it. Once the new protocol has been accepted, more delays occur because it has to be deployed manually and in a way that is compatible with the existing protocols. The paper discusses ANTS, a new approach to deploying network services, which bases interoperability on a programmable network model, not on individual networking protocols. The promise is automatic protocol upgrades, which can hasten progress toward a more responsive Internet.