Miracle-dz/UniFAR-FTUs huggingface dataset:
DETECTION OF TOPIC-BASED OPINION LEADERS IN MICROBLOGGING ENVIRONMENTS

DETECTION OF TOPIC-BASED OPINION LEADERS IN MICROBLOGGING ENVIRONMENTS Recently, the world has become a huge virtual and social environment where people spend a great deal of time expressing their thoughts, feelings and opinions. This virtual socialization seems to bring us to a new era where valuable virtual information is being accumulated. Social networking applications, especially microblogging sites, are the leading actors of this data accumulation. Their free format characteristics lead different kinds of opinions to emerge, interact and broadcast rapidly. In this perspective, detecting opinion leaders, that is people whose opinions are followed, accepted, or taken into consideration, has become crucial in various domains such as marketing, advertisement, and politics. In this research, we focused on identifying topic-specific opinion leaders in Twitter. We extracted four different relationship types, namely retweet, mention, reply, and follow, between Twitter users who were interested in specific topics. Then we formed weighted and directed topic-based social graphs by combining these relationships to compute the edge weights. In order to detect opinion leaders, we applied social network analysis methods including PageRank, betweenness and closeness centrality metrics. We used sentiment analysis methods to evaluate the detected opinion leader candidates. The overall topic-based sentiment and opinion change of the community guided us whether the candidates are the real influencers in a predefined topic or not.
Relative persuasiveness of gain- vs. loss-framed messages: a review of theoretical perspectives and developing an integrative framework

ABSTRACT A significant body of literature has examined the relative persuasiveness of gain- vs. loss-framed messages. Despite the amount of research, when and why one message frame may be more persuasive than the other is not fully understood. This article provides a review of theoretical perspectives that have been proposed to explain message framing effects. It then reports on an analysis of published articles conducted to ascertain which theories are most often employed in message framing research. Finally, building upon existing theories, this article advances a preliminary integrative framework that delineates crucial factors determining the relative persuasiveness of gain vs. loss frames.
2013 7th International Conference on Pervasive Computing Technologies for Healthcare and Workshops Accounting for Medication Particularities Designing for Everyday Medication Management

Several projects have shown that self-management of medication in private homes can be challenging. Many projects focused on specific illness-related approaches (e .g. diabetes) or practical issues such as how to handle medication while travelling. However, designing for everyday medication management involves more than just specific illness-related strategies and should take into account the broad set of activities conforming people's everyday life. This study investigates how older adults manage their medication in everyday life. To inform the design of pervasive healthcare medication management systems (PHMMS), the study calls for attention to medication­ specific particularities that account for: according to need medication, the heterogeneous care network, the substitute medication, the medication informational order, the shared responsibility and the adjustment of medication intake. These medication particularities can enhance the individual's medication overview and support the understanding of medication intake in everyday life. The study also presents five design principles for future design ofPHMMS.
Gene Expression Profiling of Blood for the Prediction of Ischemic Stroke

Background and Purpose— A blood-based biomarker of acute ischemic stroke would be of significant value in clinical practice. This study aimed to (1) replicate in a larger cohort our previous study using gene expression profiling to predict ischemic stroke; and (2) refine prediction of ischemic stroke by including control groups relevant to ischemic stroke. Methods— Patients with ischemic stroke (n=70, 199 samples) were compared with control subjects who were healthy (n=38), had vascular risk factors (n=52), and who had myocardial infarction (n=17). Whole blood was drawn ≤3 hours, 5 hours, and 24 hours after stroke onset and from control subjects. RNA was processed on whole genome microarrays. Genes differentially expressed in ischemic stroke were identified and analyzed for predictive ability to discriminate stroke from control subjects. Results— The 29 probe sets previously reported predicted a new set of ischemic strokes with 93.5% sensitivity and 89.5% specificity. Sixty- and 46-probe sets differentiated control groups from 3-hour and 24-hour ischemic stroke samples, respectively. A 97-probe set correctly classified 86% of ischemic strokes (3 hour+24 hour), 84% of healthy subjects, 96% of vascular risk factor subjects, and 75% with myocardial infarction. Conclusions— This study replicated our previously reported gene expression profile in a larger cohort and identified additional genes that discriminate ischemic stroke from relevant control groups. This multigene approach shows potential for a point-of-care test in acute ischemic stroke.
NAVIgoid: robot navigation with haptic vision

Telepresence robotic system allows a person to feel as if they were present at a place other than their true location. The sense of telexistence is provided with such stimuli as vision, hearing, sense of touch, etc. [1]. The user of such system is capable of affecting the remote location, and hence, the user position and actions must be sensed and transmitted to the remote robot (teleoperation).
Classification and Representation of Travel Information Service for Public Travel

Travel Information Service (TIS) system is an important component in Intelligent Transportation System(ITS). By studying the relationship between the three factors in traffic which means travelers, vehicles and roads, presents a new classification method of TIS for public travel, and transforms each type of service into common representation using XML (eXtensible Markup Language), so that the services can be defined and utilized in a generic approach and it can be understood by both person and computers. The classification and representation method in this paper can cover the public information demands during the whole period of travel course; furthermore it is advantage for the encapsulation and usage of service unit. The method is proved effectively in an experiment system.
Novel silicon-on-insulator SP5T switch-LNA front-end IC enabling concurrent dual-band 256-QAM 802.11ac WLAN radio operations

An innovative SOI SP5T switch-LNA integrated circuit is presented. The switch-LNA consists of a diplexer that provides out-of-band rejection and enables dual-band concurrent operation, a dual-band LNA with bypass attenuators, and three high linearity transmit paths. Tx paths feature 0.1 dB compression at >33 dBm input power, with >35 dB Tx to Rx isolation, and 0.8 and 1.2 dB insertion loss for low and high bands respectively. Receive paths feature 12 dB gain with 2.5-2.8 dB NF. Cascading the design with a dual-band WLAN PA, a complex dual-band front-end module can be easily constructed in a 3 x 4 mm package, which demonstrates transmit and receive LNA linearity with EVM <; 2% at >16 dBm and > - 5dBm output power respectively and compliant with the linearity requirements of the 802.11ac standard up to of 256-QAM 80 MHz operations.
RootGuard: Protecting Rooted Android Phones

Though popular for achieving full operation functionality, rooting Android phones opens these devices to significant security threats. RootGuard offers protection from malware with root privileges while providing user flexibility and control. The Web extra at http://youtu.be/-KMMfxOoCjg is a video demonstration of how RootGuard manages root privileges of Android apps in a flexible and robust manner. First, we use the popular root-required app Root Explorer to show the configuration and effectiveness of RootGuard policies. Then, we use DKFBootkit, a real-world malicious app that leverages root access to do evil, to show how malware attacks performed with root privileges are mitigated by RootGuard.
The influence of cultural capital and mianzi (face) on mature students’ orientation towards higher education in China

ABSTRACT In the wider context of national growth and investment in higher education in China, more mature students seek to gain access to university education. Considering the far-reaching socioeconomic and political shifts in contemporary China and its higher education sector in particular, this study explores the experience of mature university students in this country and poses the seemingly simple question as to why these students did not pursue higher education when they were school-leavers, but chose to study at a mature age. Drawing on biographical interviews with 20 Chinese mature university students, the paper explores their aspirations, motivations and tribulations behind embarking on higher education. Revisiting Bourdieu’s ideas on ‘inherited’ and ‘acquired’ cultural capital and examining the related Chinese cultural notion of mianzi (‘face’), it is argued that family and social networks are decisive factors in mature students’ orientation towards higher education.
Molecular genetics of crustacean feeding appendage development and diversification.

Arthropods dominate our seas, land, and air and have done so for hundreds of millions of years. Among the arthropods, crustaceans present us with a rich history of morphological change, much of which is still represented among extant forms. Crustacea largely interact with their environment via their appendages; thus vast amounts of variation exist among the different appendages of a single individual and between appendages from different species. Comparative studies of crustacean appendage development present us with an important story regarding the evolution of morphology over both relatively short (a few million years) and relatively long (a few hundred million years) evolutionary time scales. Recent studies have used the genetic and molecular data from Drosophila development to try to understand the molecular basis for some of the variations seen in crustacean limbs. Here we review some of these data based on the expression patterns of the genes Ultrabithorax, abdominal - A, Sex combs reduced, and Distal-less.
Two Rounds of Whole Genome Duplication in the Ancestral Vertebrate

The hypothesis that the relatively large and complex vertebrate genome was created by two ancient, whole genome duplications has been hotly debated, but remains unresolved. We reconstructed the evolutionary relationships of all gene families from the complete gene sets of a tunicate, fish, mouse, and human, and then determined when each gene duplicated relative to the evolutionary tree of the organisms. We confirmed the results of earlier studies that there remains little signal of these events in numbers of duplicated genes, gene tree topology, or the number of genes per multigene family. However, when we plotted the genomic map positions of only the subset of paralogous genes that were duplicated prior to the fish–tetrapod split, their global physical organization provides unmistakable evidence of two distinct genome duplication events early in vertebrate evolution indicated by clear patterns of four-way paralogous regions covering a large part of the human genome. Our results highlight the potential for these large-scale genomic events to have driven the evolutionary success of the vertebrate lineage.
Investigation of Different Winding Configurations and Displacements of a Nine-Phase Permanent-Magnet-Synchronous Motor With Unbalanced AC Winding Structure

Integral-slot electrical machines require modifications and optimization of both stator and rotor to maximize the machine performance. In addition, sub-harmonics in magneto-motive force distributions is an important issue in motors with fractional-slot concentrated windings. These additional sub- and super-harmonics increase iron losses, which becomes an even bigger challenge in high speed/frequency applications. A permanent-magnet (PM) motor with unbalanced winding (UBW) and unconventional slot numbers is a good option for applications that require smooth torque output and low back electromotive force voltage harmonics. In this paper, different winding configurations and displacements of an unconventional nine-phase PM motor with both balanced fractional-slot winding and UBW structures have been investigated. The focus has been on 117-slot with 12-pole (for the balanced winding motor) and 36-pole (for the UBW motor) combinations. Motor prototypes with UBW configurations have been manufactured. The finite-element analyses results have been validated with experimental results and it is shown that such unconventional slot/pole combinations can be a good option for some high-power applications.
Key-linked block ciphers with input-output shuffling applied to remotely keyed encryption

We propose a more generalized Feistel network-like structure, with pre- (or post-) pseudorandom shuffling of the input (output) before (after, respectively) ciphering using two reversibly key-linked block ciphers, that is suitable for remotely keyed encryption. The security of the proposed structure is theoretically proved and new algorithms for the required pseudorandom shuffling stage are presented. Considering the many advantages of reusability, we apply this proposed universal ciphers merging structure for constructing practical new ciphers reviving the short-key DES and strengthening the security of the AES through stretching their key and block lengths. Since smart cards represent an effective tool for trustworthy portable storage of secret-keys and critical processes needed in many recent applications, we finally introduce an extremely secure length increasing remotely keyed encryption protocol allowing the use of a disposable (one-time) key for reliable long-term security.
A Sight for Sore Eyes: Assessing the Value of View and Landscape Use on the Housing Market

We apply a hedonic model to the Geneva-Switzerland rental market to assess the value of view from dwellings and of land uses around buildings. Using a geographic information system, we calculate three-dimensional view variables, accessibility and land use variables. To our knowledge, this is the first paper to develop precise view measures at the dwelling level, considering surrounding land uses, in an urban context and with a large sample of 13,000 observations. The results show that view of various environmental amenities and its size has a significant impact on rents. The estimated rent premium for a dwelling located in a neighbourhood with an extended surface of water can be as high as 3%, and a view of water-covered area can raise rent up to 57%.
Identification of gene clusters differentially expressed during the cellular injury responses (CIR) to cisplatin

The goal of this study was to identify changes in mRNA levels in tumour cells after a toxic exposure to cisplatin (IC99dose). Using suppression-subtractive hybridization (SSH) 2 cDNA libraries were created, an UP library (202 cDNA fragments) and a DOWN library (153 cDNA fragments). Using reversed Northern hybridization 16 and 30 fragments were truly differentially expressed in the UP and DOWN libraries, respectively. Most prominent in the UP library were the mitochondrial and injury response clusters and in the DOWN library the cytoskeletal, protein synthesis and signalling clusters. These distinct clusters potentially represent an expression profile of the cisplatin-induced cellular injury response. © 2001 Cancer Research Campaign http://www.bjcancer. com
Deploying In-Network Data Analysis Techniques in Sensor Networks

Sensor Networks have received considerable attention recently, as they provide manifold benefits. Not only are they a means for data acquisition and monitoring of unexplored or inaccessible areas, they are also a low-cost alternative for sensing the environment, which greatly aids to better understand our surroundings. A major motivation in either occasion is to acknowledge endangering situations and take action(s) accordingly. To this end, we would like to enable data mining or analysis techniques on top or, even better, within such networks, due to the prohibitive cost of communication in this setting. In this work, we demonstrate running data mining algorithms on a set of sensors, which are of low-processing power. In addition to showcasing the execution of data analysis algorithms on resource-constrained hardware, our demo is intended to show how to take advantage of the properties of each algorithm to make better use of the sensors and their capabilities. We support the execution and monitoring of these algorithms with a graphical user interface (GUI).
Identification and Characterization of a Liver Stage-Specific Promoter Region of the Malaria Parasite Plasmodium

During the blood meal of a Plasmodium-infected mosquito, 10 to 100 parasites are inoculated into the skin and a proportion of these migrate via the bloodstream to the liver where they infect hepatocytes. The Plasmodium liver stage, despite its clinical silence, represents a highly promising target for antimalarial drug and vaccine approaches. Successfully invaded parasites undergo a massive proliferation in hepatocytes, producing thousands of merozoites that are transported into a blood vessel to infect red blood cells. To successfully develop from the liver stage into infective merozoites, a tight regulation of gene expression is needed. Although this is a very interesting aspect in the biology of Plasmodium, little is known about gene regulation in Plasmodium parasites in general and in the liver stage in particular. We have functionally analyzed a novel promoter region of the rodent parasite Plasmodium berghei that is exclusively active during the liver stage of the parasite. To prove stage-specific activity of the promoter, GFP and luciferase reporter assays have been successfully established, allowing both qualitative and accurate quantitative analysis. To further characterize the promoter region, the transcription start site was mapped by rapid amplification of cDNA ends (5′-RACE). Using promoter truncation experiments and site-directed mutagenesis within potential transcription factor binding sites, we suggest that the minimal promoter contains more than one binding site for the recently identified parasite-specific ApiAP2 transcription factors. The identification of a liver stage-specific promoter in P. berghei confirms that the parasite is able to tightly regulate gene expression during its life cycle. The identified promoter region might now be used to study the biology of the Plasmodium liver stage, which has thus far proven problematic on a molecular level. Stage-specific expression of dominant-negative mutant proteins and overexpression of proteins normally active in other life cycle stages will help to understand the function of the proteins investigated.
Semantic Multidimensional Scaling for Open-Domain Sentiment Analysis

The ability to understand natural language text is far from being emulated in machines. One of the main hurdles to overcome is that computers lack both the common and common-sense knowledge that humans normally acquire during the formative years of their lives. To really understand natural language, a machine should be able to comprehend this type of knowledge, rather than merely relying on the valence of keywords and word co-occurrence frequencies. In this article, the largest existing taxonomy of common knowledge is blended with a natural-language-based semantic network of common-sense knowledge. Multidimensional scaling is applied on the resulting knowledge base for open-domain opinion mining and sentiment analysis.
Hybrid Strategy of Motion Planning with Kinematic Optimization for Autonomous Driving

Autonomous driving has revolutionized the conventional driving. In this paper, we present our motion planner for autonomous driving. Two main issues of motion planning are addressed in the paper: kinematical feasibility and consistence of motion control. The kinematical feasibility is achieved by a prediction engine, which generates a reference path for vehicle to follow based on vehicle kinematic model. The core of the engine is based on a differential dynamic programming (DDP) optimization. The consistence of motion control is solved by a hybrid motion planning strategy, which also considers the previous reference path in the motion planning. The proposed method is verified on our autonomous vehicle platform driving on a public road and performing vehicle avoidance.
Low-fidelity DNA synthesis by the L979F mutator derivative of Saccharomyces cerevisiae DNA polymerase ζ

To probe Pol ζ functions in vivo via its error signature, here we report the properties of Saccharomyces cerevisiae Pol ζ in which phenyalanine was substituted for the conserved Leu-979 in the catalytic (Rev3) subunit. We show that purified L979F Pol ζ is 30% as active as wild-type Pol ζ when replicating undamaged DNA. L979F Pol ζ shares with wild-type Pol ζ the ability to perform moderately processive DNA synthesis. When copying undamaged DNA, L979F Pol ζ is error-prone compared to wild-type Pol ζ, providing a biochemical rationale for the observed mutator phenotype of rev3-L979F yeast strains. Errors generated by L979F Pol ζ in vitro include single-base insertions, deletions and substitutions, with the highest error rates involving stable misincorporation of dAMP and dGMP. L979F Pol ζ also generates multiple errors in close proximity to each other. The frequency of these events far exceeds that expected for independent single changes, indicating that the first error increases the probability of additional errors within 10 nucleotides. Thus L979F Pol ζ, and perhaps wild-type Pol ζ, which also generates clustered mutations at a lower but significant rate, performs short patches of processive, error-prone DNA synthesis. This may explain the origin of some multiple clustered mutations observed in vivo.
Design of High Speed, Area Efficient, Low Power Vedic Multiplier using Reversible Logic Gate

A systems performance is generally determined by the speed of the multiplier since multiplier is one of the key hardware component in high performance systems such as FIR filters, digital signal processors and microprocessors etc. Multipliers have large area, long latency and consume considerable power. Hence good multiplier architecture increases the efficiency and performance of a system. Vedic multiplier is one such high speed, low area multiplier architecture. Further implementing this in reversible logic reduces power. In this paper a 4 X 4 Vedic multiplier is designed using reversible logic gates which is efficient in terms of constant inputs, garbage outputs, quantum cost, area, speed and power. The design is simulated using Verilog.
A COMPACT PARALLEL MULTIPLICATION SCHEME BASED ON ( 7 , 3 ) AND ( 15 , 4 ) SELF-TIMED THRESHOLD

This paper presents a new, a highly compact implementation of a 32 32 parallel multiplier based on parallel counters. The new multiplier is designed using the recently proposed Self-Timed Threshold Logic (STTL). The design is based on a direct multiplication scheme using depth 2 (15,4) and (7,3) STTL parallel counters and (4:2) compressors. The proposed parallel multiplier reduces the partial product matrix to two rows in only three stages, hence the effective multiplier logic depth is 6. It is shown that the presented scheme significantly reduces the gate count of known proposals for multiplication using threshold logic.