Miracle-dz/UniFAR-FTUs huggingface dataset:
A clustering algorithm based on local competition and double-weigh communication-energy-consumption for wireless sensor networks

Clustering techniques have emerged as a popular choice for achieving energy efficiency and scalable performance in large scale sensor networks. In order to achieve efficient use of energy networks that extend the network time, increase the amount of data transfer, this study and reference in many previous proposed clustering algorithms, this paper introduces a Clustering Algorithm based on Local Competition and Double Weigh Communication consumption for Wireless Sensor Networks. In the cluster head selection phase, uses a strategy based on energy and ID which is called local competitive, then in the cluster formation uses a strategy based on taking into account of plain nodes and cluster head node communication consumption, this above method is the introduced algorithm for clustering. Simulation results show that both the network life time and the amount of data transmission have a significant improvement compared with LEACH, etc.
Relationship between quality and payment in crowdsourced design

In recent years, the “power of the crowd” has been repeatedly demonstrated and various Internet platforms have been used to applied collaborative intelligence to areas that range from open innovation to image analysis. However, crowdsourcing applications in the fields of design research and creative innovation have been much slower to emerge. So, although there have been reports of systems and researchers using Internet crowdsourcing to carry out generative design, there are still many gaps in knowledge about the capability and limitations of the technology. For example on crowdsourcing platforms, like Amazon's Mechanical Turk, the relationship between remuneration and the final quality of designs has not been established, so it is unclear how much payment should be offered to ensure a particular standard of result. To investigate the relationship between the crowd's remuneration and the quality of their innovation, this paper reports how payment for a 2D interior design task (living room layout) was systematically varied and the quality of the output assessed by a ranking process that was also crowdsourced. Information about individual Mturk workers who participated in the study was also collected. The results suggest that while average design quality only slowly increases, the quality of the “best” design generated by the crowd improved dramatically with payment levels. In other words, increasing monetary rewards does not improve the average creativity of design but rather it increases the chance of an excellent solution being generated by an individual in the crowd.
Beyond Revolving Doors: The Prevention of Conflicts of Interests Through Regulation

The revolving doors phenomenon (i.e., the movement of professionals from government and public administration to private companies or social entities) produces conflicts of interest and the possibility of corruption. It has increasingly drawn attention because of the numerous scandals that have come under the public spotlight. This article analyzes the risks the revolving door poses to public integrity and explores different mechanisms to prevent conflicts of interest. Analysis of Spain’s legal mechanisms to combat the revolving door highlights the limitations of current regulations. New mechanisms are proposed that could strengthen the integrity of current public officials and of former officials who have left the public sector.
Do different dimensions of ethnic identity reduce the risk of violence among Asian American and Pacific Islander adolescents in Hawai‘i?

ABSTRACT This study examines whether different dimensions of ethnic identity are associated with reduced risk of violence among an understudied population: Asian American and Pacific Islander adolescents. Drawing from survey data of 298 Native Hawaiian, Samoan, Japanese, and Filipino adolescents in Hawai‘i, this study focuses on whether three dimensions of ethnic identity (“affirmation and belonging,” “ethnic identity achievement,” and “other-group orientation”) related to overall and different types of violence. Results of the multivariate analyses reveal that higher levels of ethnic identity achievement are associated with reduced risk of overall violence and family/partner violence, which suggests that this dimension is a beneficial social-psychological resource. Contrary to our expectations, higher levels of ethnic affirmation and belonging are associated with attacking someone. In addition, other-group orientation has no relationship with violence. Implications of our findings regarding distinct effects for different dimensions of ethnic identification are discussed pertaining to developmental research and violence prevention.
A Novel View of Risk Management in Software Development Life Cycle

The field of software development often encounters many kinds of risks with high failure rate which in turn influence the success of software project. Success of software development associated with the effective management of risks occurred or might occur to mitigating the failure rate. This paper focuses on the life cycle of software development and the risks associated with each phase. It proposes a new model that helps in assessing and managing the risks and the processes needed in each phase of the development life cycle. The model is intended to unveil risks associated with each phase giving the opportunity to revisit phases in case of discovering associated risks as the development proceeds.
Correlation between Abnormal Pap Smear Finding and Brachial-ankle Pulse Wave Velocity in Korean Women

Background Cervical cancer is caused by chronic human papilloma virus (HPV) infection. Pap smear is very efficient examination for early detecting cervical cancer. Inflammation reaction due to chronic infection is one of the major causes of atherosclerosis. Pulse wave velocity (PWV) is commonly used in predicting subclinical atherosclerosis. But no study was done about correlation between cervical cancer and PWV. Methods: The research population, 1,779 people, had been chosen from the patients from Jan. 1st, 2008 to December 31st, 2010, visited health exam center who had done both PWV test and pap smear without any medical history of obstetrics and gynecological disease. The group was divided into two respective groups, 45 people with abnormal finding and 228 people with normal finding. The correlation was analyzed between risk factor of cervical cancer and brachial-ankle PWV. Multiple regression analysis was performed with associated variables. Results: Average PWV of normal group was 1,313.06 ± 264.19 and 1,497.15 ± 359.58 was for abnormal. The PWV of abnormal group was statistically significant (p = 0.0006) with association between risk factors of cervical cancer and PWV, age, height, weight, income, gravidity. Multiple regression was done with correcting these variables. PWV was associated with abnormal Pap smear but result, were not found to be significant (p = 0.054). Conclusion: The result was not statistically confident but more mass studies are needed to correcting those limitation.
Expressed emotion in de patiënt-hulpverlenerrelatie bij beschut wonen

611 Er bestaat een lange en goed ontwikkelde onderzoekstraditie naar de invloed van het familieklimaat op het verloop van ernstige psychiatrische stoornissen zoals schizofrenie en stemmingsstoornissen. Expressed emotion (ee) verwijst naar de affectieve attituden en gedragingen – in het bijzonder de mate van kritiek, van vijandigheid en van emotionele overbetrokkenheid – van een familielid tegenover een psychiatrische patient (Brown & Rutter 1966; Leff & Vaughn 1985; Vaughn & Leff 1976). Sinds het begin van het ee-onderzoek in 1958 (Brown e.a. 1958) zijn tientallen onderzoeken gepubliceerd waarin de kwaliteit van de relatie en haar impact op recidieven oorspronkelijk artikel
NON-LINEAR CAR FOLLOWING MODELS INCORPORATION SECOND LEADING CAR AND EXCESS CRITICAL SPEED

Generally the conventional car-following model presumes that respond is a function of stimulus and sensitivity term. The stimulus comes from relative speed between two successive vehicles while the sensitivity depends on speed and headway. In this study the extended model which includes the second leading car, the excess critical speed and the acceleration of the car ahead gives a better regression fit than the conventional model. The significant difference in reaction time of three dissimilar conditions in driving process; acceleration, deceleration and cruising, causes erroneous estimation when using an average reaction time. The model result gives the realistic reaction time with smaller variance in the modified excess critical speed model than in modified second leading cars model.
Is miR-29 an oncogene or tumor suppressor in CLL?

B-cell chronic lymphocytic leukemia (CLL) is the most common leukemia in the Western world. CLL occurs in two forms, aggressive and indolent. Aggressive CLL is characterized by high ZAP-70 expression and unmutated IgH VH; indolent CLL shows low ZAP-70 expression and mutated IgH VH. We recently found that miR-29 is upregulated in indolent human B-CLL, compared to aggressive B-CLL and normal CD19+ B-cells. To determine the role of miR-29 in CLL, we generated transgenic mice overexpressing miR-29 in mouse B-cells. Recently we reported that miR-29 transgenic mice develop indolent CLL phenotype. Interestingly, our previous findings suggest that miR-29 targets expression of TCL1, a critical oncogene in aggressive CLL, indicating that miR-29 might function as a tumor suppressor in CLL. Here we discuss these results and provide additional insights into function of miR-29 in CLL.
Using Linked Data to Interpret Tables

Vast amounts of information is available in structured forms like spreadsheets, database relations, and tables found in documents and on the Web. We describe an approach that uses linked data to interpret such tables and associate their components with nodes in a reference linked data collection. Our proposed framework assigns a class (i.e. type) to table columns, links table cells to entities, and inferred relations between columns to properties. The resulting interpretation can be used to annotate tables, confirm existing facts in the linked data collection, and propose new facts to be added. Our implemented prototype uses DBpedia as the linked data collection and Wikitology for background knowledge. We evaluated its performance using a collection of tables from Google Squared, Wikipedia and the Web.
A Hybrid Layered Video Encoding Technique for Mobile Internet-based Vision

The increasing deployment of broadband networks and simultaneous proliferation of low-cost video capturing and multimedia-enabled mobile devices have triggered a new wave of mobile Internet-based computer vision applications. However, mobile networked environments are typically resource constrained in terms of the available bandwidth and battery capacity on mobile devices. Computer vision applications that entail analysis, transmission, storage and rendering of video data are typically resource-intensive. Since the available bandwidth in the mobile Internet is constantly changing and the battery life of a mobile video capturing and rendering device decreases with time, it is desirable to have a video representation scheme that adapts dynamically to the available resources. A Hybrid Layered Video (HLV) encoding scheme is proposed, which comprises of content-aware, multi-layer encoding of the image texture and a generative sketch-based representation of the object outlines in the input video stream. Different combinations of the textureand sketch-based representations result in distinct video states, each with a characteristic bandwidth and power consumption profile. The proposed HLV encoding scheme is shown to be effective for mobile Internet-based vision applications such as background subtraction, face detection, face recognition and face tracking on resource-constrained mobile devices.
The effects of social structure, geographical structure, and population size on the evolution of mitochondrial DNA: I. A simulation model

A program simulating the distribution of variation in mitochondrial DNA in macaques is described. Empirical studies of the rates of nucleotide substitution and geographical patterning of mtDNA variation in these and other monkey species have demonstrated striking differences from equivalent measures of nuclear DNA and called into question the assumptions informing the use of mtDNA to elucidate phylogenetic relationships in organisms with relatively complex social organization. The model presented here incorporates social-structural variables as well as geographical structure and population size in order to clarify the determinants of the pattern of mtDNA evolution in macaques. The program, SHINES (Simulation of Hereditary Innovations in Neutral Evolution of Simians), employs an economical procedure for representing the haplotypes of the animals in the simulated population.
Xenopus laevis retinal and spinal neurons to study mechanisms f axon guidance in vivo and in vitro

The intricate and precise establishment of neuronal connections in the developing nervous system relies on accurate navigation of growing axons. Since Ramón y Cajal’s discovery of the growth cone, the phenomenon of axon guidance has been revealed as a coordinated operation of guidance molecules, receptors, secondary messengers, and responses driven by the dynamic cytoskeleton within the growth
Improving Frequent Link Failure Detection in VANET

VANET technology integrates wireless cellular and ad hoc for seamless connectivity between vehicles. Vehicle ad-hoc networks (VANETs) are systems that allow vehicles to communicate with each other. Wireless-vice can send information to nearby vehicles, and messages can be sent from one vehicle to another, so that the information can be spread throughout the city. In the network, there is a link failure very common due to the high mobility of nodes in the network region available. So what makes frequent link failure that packets do not reach the respective destinations. The mechanism proposed here establishes a kind of route discovery packet parallel to the real time application to be delivered to the destination, while minimizing losses. The main objective is to establish parallel paths during link failures scenarios for real-time applications to provide data to their destination safely. Recovery road parallel fixed temporary parallel path between nodes when link failure. The node before the link failure packet buffers, after setting the new parallel paths before the packets stored in the buffer via the destination newly created path.
Who Does the Public Trust? The Case of Genetically Modified Food in the United States

Trust is important for the perception of many types of risk, including those relating to genetically modified (GM) food. Who the public trusts in any given circumstance, however, is not well understood. In this study of public trust regarding GM food, an exploratory factor analysis with Promax rotation reveals public classification of three common institutional types—evaluators, watchdogs, and merchants. The structure of relationships among these stakeholders can act to enable or constrain public support for this new technology. Evaluators—scientists, universities, and medical professionals—are the most trusted. Watchdogs—consumer advocacy organizations, environmental organizations, and media sources—are moderately trusted. Merchants—grocers and grocery stores, industry, and farmers—are least trusted. While the federal government is seen as closest to being an evaluator, it is not highly correlated with any of the factors. The lack of trust in the organizations with the greatest resources and responsibilities for ensuring the safety of GM food should be seen as an important obstacle to the adoption of the technology.
Statistical queries and faulty PAC oracles

In this paper we study learning in the PAC model of Valiant [18] in which the example oracle used for learning may be faulty in one of two ways: either by misclassifying the example or by distorting the distribution of examples. We first consider models in which examples are misclassified. Kearns [12] recently showed that efficient learning in a new model using statistical queries is a sufficient condition for PAC learning with classification noise. We show that efficient learning with statistical queries is sufficient for learning in the PAC model with malicious error rate proportional to the required statistical query accuracy. One application of this result is a new lower bound for tolerable malicious error in learning monomials of k literals. This is the first such bound which is independent of the number of irrelevant attributes n. We also use the statistical query model to give sufficient conditions for using distribution specific algorithms on distributions outside their prescribed domains. A corollary of this result expands the class of distributions on which we can weakly learn monotone Boolean formulae. We also consider new models of learning in which examples are not chosen according to the distribution on which the learner will be tested. We examine three variations of distribution notse and give necessary and sufficient conditions for polynomial tzme learning with such noise. We show containment and separations between the various models of faulty oracles. Finally? we examine hypothesis boosting algorithms m the context of learning with distribution noise, and show that Schapire’s result re arding the strength of weak learnabil~f ity 17 is in some sense tight in requiring the wea learner to be nearly distribution free.
Survey on Chatbot Design Techniques in Speech Conversation Systems

Human-Computer Speech is gaining momentum as a technique of computer interaction. There has been a recent upsurge in speech based search engines and assistants such as Siri, Google Chrome and Cortana. Natural Language Processing (NLP) techniques such as NLTK for Python can be applied to analyse speech, and intelligent responses can be found by designing an engine to provide appropriate human like responses. This type of programme is called a Chatbot, which is the focus of this study. This paper presents a survey on the techniques used to design Chatbots and a comparison is made between different design techniques from nine carefully selected papers according to the main methods adopted. These papers are representative of the significant improvements in Chatbots in the last decade. The paper discusses the similarities and differences in the techniques and examines in particular the Loebner prize-winning Chatbots.
Optimized prediction of uncovered areas in subband video coding

Motion-compensated temporal filtering is an essential ingredient of recently developed wavelet-based scalable video coding schemes. Lifting implementation of these decompositions represents a versatile tool for spatio-temporal optimizations and numerous improvements have thus been proposed. In this paper, we propose an optimized prediction scheme built on a 5/3 motion-compensated filterbank but using motion vector fields in the same direction. Optimization is done by estimating one of the motion vector field such that to minimize the detail subband energy, knowing that some parts of a current image have already been predicted by the other motion vector field. Experimental results show that significant improvements in compression performance can be achieved using this strategy, for equivalent complexity.
SPC-FA: synergic parallel compact finite automaton to accelerate multi-string matching with low memory

Deterministic Finite Automaton (DFA) is well-known for its constant matching speed in worst case, and widely used in multi-string matching, which is a critical technique in high performance Network Intrusion Detection System (NIDS) design. Existing DFA-based researches achieve high throughput at the expense of extremely high memory cost, so they fail to be used in situations like embedded systems where very tight memory resource is available. In this paper, we propose a memory-efficient multi-string matching acceleration scheme named Synergic Parallel Compact (SPC) Match Engine, which can provide a high matching speedup with no extra memory cost than the traditional DFA. Our scheme can be understood as consisting of k SPC-FAs, each of which can process one character from the input stream, causing achieving a constant speedup factor k with reduced memory occupation. Experimental evaluations with Snort and ClamAV rulesets show that a speedup of 9X can be practically achieved by a single SPC Match Engine instance with a reduced memory size than the up-to-date DFA-based compression approaches.
Enhancement of oxidative and drought tolerance in Arabidopsis by overaccumulation of antioxidant flavonoids

The notion that plants use specialized metabolism to protect against environmental stresses needs to be experimentally proven by addressing the question of whether stress tolerance by specialized metabolism is directly due to metabolites such as flavonoids. We report that flavonoids with radical scavenging activity mitigate against oxidative and drought stress in Arabidopsis thaliana. Metabolome and transcriptome profiling and experiments with oxidative and drought stress in wild-type, single overexpressors of MYB12/PFG1 (PRODUCTION OF FLAVONOL GLYCOSIDES1) or MYB75/PAP1 (PRODUCTION OF ANTHOCYANIN PIGMENT1), double overexpressors of MYB12 and PAP1, transparent testa4 (tt4) as a flavonoid-deficient mutant, and flavonoid-deficient MYB12 or PAP1 overexpressing lines (obtained by crossing tt4 and the individual MYB overexpressor) demonstrated that flavonoid overaccumulation was key to enhanced tolerance to such stresses. Antioxidative activity assays using 2,2-diphenyl-1-picrylhydrazyl, methyl viologen, and 3,3′-diaminobenzidine clearly showed that anthocyanin overaccumulation with strong in vitro antioxidative activity mitigated the accumulation of reactive oxygen species in vivo under oxidative and drought stress. These data confirm the usefulness of flavonoids for enhancing both biotic and abiotic stress tolerance in crops.
Simple discrete bit-loading for OFDM systems in power line communications

Adaptive bit-loading algorithms can improve the performance of OFDM systems significantly. The tradeoff between the algorithms performance (optimum solution) and the computational complexity is essential for implementation of loading algorithms. In this paper, we present a low complexity non-iterative discrete bit-loading algorithm to maximize the data rate subject to specified target BER and uniform power allocation. Simulation results show that the proposed algorithm outperforms the equal-BER loading and achieves similar rates to incremental allocation, yet with much lower complexity.
From speech to personality: mapping voice quality and intonation into personality differences

From a cognitive point of view, personality perception corresponds to capturing individual differences and can be thought of as positioning the people around us in an ideal personality space. The more similar the personality of two individuals, the closer their position in the space. This work shows that the mutual position of two individuals in the personality space can be inferred from prosodic features. The experiments, based on ordinal regression techniques, have been performed over a corpus of 640 speech samples comprising 322 individuals assessed in terms of personality traits by 11 human judges, which is the largest database of this type in the literature. The results show that the mutual position of two individuals can be predicted with up to 80% accuracy.