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Статті в журналах з теми "Behaviour discovery"

Автор: Grafiati

Опубліковано: 22 березня 2025

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1

Bevilacqua, Laura, and David Goldman. "Genetics of impulsive behaviour." Philosophical Transactions of the Royal Society B: Biological Sciences 368, no. 1615 (April 5, 2013): 20120380. http://dx.doi.org/10.1098/rstb.2012.0380.

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Impulsivity, defined as the tendency to act without foresight, comprises a multitude of constructs and is associated with a variety of psychiatric disorders. Dissecting different aspects of impulsive behaviour and relating these to specific neurobiological circuits would improve our understanding of the etiology of complex behaviours for which impulsivity is key, and advance genetic studies in this behavioural domain. In this review, we will discuss the heritability of some impulsivity constructs and their possible use as endophenotypes (heritable, disease-associated intermediate phenotypes). Several functional genetic variants associated with impulsive behaviour have been identified by the candidate gene approach and re-sequencing, and whole genome strategies can be implemented for discovery of novel rare and common alleles influencing impulsivity. Via deep sequencing an uncommon HTR2B stop codon, common in one population, was discovered, with implications for understanding impulsive behaviour in both humans and rodents and for future gene discovery.

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2

Turčínek, Pavel, and Arnošt Motyčka. "Knowledge discovery on consumers’ behaviour." Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 61, no. 7 (2013): 2893–901. http://dx.doi.org/10.11118/actaun201361072893.

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This paper summarizes results of the research project “Application of modern methods to data processing in the field of marketing research” which was solved at the Department of Informatics, Faculty of Business and Economics of Mendel University in Brno. The most of these results were presented at international conferences.It describes the use of knowledge discovery techniques on data from marketing research of consumers’ behaviour. The paper deals with issues of classification, cluster analysis, correlation and association rules.For classification there were used various algorithms: multi-layer perceptron neural network, self-organizing (Kohonen’s) maps, bayesian networks and generation of a decision tree. Beside Kohonen’s maps, which were tested in MATLAB software, all classification methods were tested in Weka software.In order to find clusters of the methods K-means, Expectation-Maximization, DBSCAN Weka was also used as software for clustering. Correlation analysis was done based on statistical approach. Generation of association rules was achieved by use of Apriori and the FP-growth algorithm in Weka.The paper describes above mentioned methods and shows achieved results of exploring data from marketing research on consumers’ behaviour.This article discusses the suitability of these methods usage on such data sets. It also suggests further research possibilities of knowledge discovery on consumers’ behaviour.

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3

Atton, N., W. Hoppitt, M. M. Webster, B. G. Galef, and K. N. Laland. "Information flow through threespine stickleback networks without social transmission." Proceedings of the Royal Society B: Biological Sciences 279, no. 1745 (August 15, 2012): 4272–78. http://dx.doi.org/10.1098/rspb.2012.1462.

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Social networks can result in directed social transmission of learned information, thus influencing how innovations spread through populations. Here we presented shoals of threespine sticklebacks ( Gasterosteous aculeatus ) with two identical foraging tasks and applied network-based diffusion analysis (NBDA) to determine whether the order in which individuals in a social group contacted and solved the tasks was affected by the group's network structure. We found strong evidence for a social effect on discovery of the foraging tasks with individuals tending to discover a task sooner when others in their group had previously done so, and with the spread of discovery of the foraging tasks influenced by groups' social networks. However, the same patterns of association did not reliably predict spread of solution to the tasks, suggesting that social interactions affected the time at which the tasks were discovered, but not the latency to its solution following discovery. The present analysis, one of the first applications of NBDA to a natural animal system, illustrates how NBDA can lead to insight into the mechanisms supporting behaviour acquisition that more conventional statistical approaches might miss. Importantly, we provide the first compelling evidence that the spread of novel behaviours can result from social learning in the absence of social transmission, a phenomenon that we refer to as an untransmitted social effect on learning.

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4

Lea, Stephen, Lisa Leaver, and Kristen Jule. "Using a behaviour discovery curve to predict optimal observation time." Behaviour 146, no. 11 (2009): 1531–42. http://dx.doi.org/10.1163/156853909x447775.

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AbstractBehavioural observations are vital to furthering our knowledge of species' ecology. Determining a method for formalising the length of behavioural observation time (coined Behaviour Discovery Curve) is practical for both reducing disturbance to the animals observed and limiting costs to the researcher. This paper suggests a method of calculating behaviour discovery curves, which allows researchers to estimate the optimal amount of data to collect when establishing an ethogram. The curve is fitted to a logarithmic model that predicts the rate of new behaviours that will be observed in any given length of observation time. To illustrate the methods, 31 captive red pandas (Ailurus fulgens fulgens) were observed for 30 h each and a behaviour discovery curve was estimated for each animal based on the rate at which new behaviours were observed. We demonstrate how to use the curve in the evaluation of an ethogram, whilst also providing an indication of how many more behaviours would be observed in a specified longer observation period. This is an important consideration in the creation of any ethogram, since there are currently no standard methodologies for establishing ethograms, and no guidelines on how much data is 'sufficient' for determining a species' behavioural repertoire. The curve does not allow an estimate of the total size of the behavioural repertoire, but does allow a systematic analysis of the likely costs and benefits of further observation. We also suggest a method for quantifying the degree of idiosyncrasy of a population.

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5

Vigliotti, Maria Grazia, and Chris Hankin. "Discovery of anomalous behaviour in temporal networks." Social Networks 41 (May 2015): 18–25. http://dx.doi.org/10.1016/j.socnet.2014.12.001.

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6

Brogi, Antonio, and Sara Corfini. "Behaviour-Aware Discovery of Web Service Compositions." International Journal of Web Services Research 4, no. 3 (July 2007): 1–25. http://dx.doi.org/10.4018/jwsr.2007070101.

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7

Hopkins, Mark E., and Oksana L. Zavalina. "Evaluating physicians’ serendipitous knowledge discovery in online discovery systems." Aslib Journal of Information Management 71, no. 6 (November 18, 2019): 755–72. http://dx.doi.org/10.1108/ajim-02-2019-0045.

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Purpose A new approach to investigate serendipitous knowledge discovery (SKD) of health information is developed and tested to evaluate the information flow-serendipitous knowledge discovery (IF-SKD) model. The purpose of this paper is to determine the degree to which IF-SKD reflects physicians’ information behaviour in a clinical setting and explore how the information system, Spark, designed to support physicians’ SKD, meets its goals. Design/methodology/approach The proposed pre-experimental study design employs an adapted version of the McCay-Peet’s (2013) and McCay-Peet et al.’s (2015) serendipitous digital environment (SDE) questionnaire research tool to address the complexity associated with defining the way in which SKD is understood and applied in system design. To test the IF-SKD model, the new data analysis approach combining confirmatory factor analysis, data imputation and Monte Carlo simulations was developed. Findings The piloting of the proposed novel analysis approach demonstrated that small sample information behaviour survey data can be meaningfully examined using a confirmatory factor analysis technique. Research limitations/implications This method allows to improve the reliability in measuring SKD and the generalisability of findings. Originality/value This paper makes an original contribution to developing and refining methods and tools of research into information-system-supported serendipitous discovery of information by health providers.

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8

Lewis, Suzanne. "E-Book Discovery and Use Behaviour is Complex." Evidence Based Library and Information Practice 3, no. 2 (June 17, 2008): 38. http://dx.doi.org/10.18438/b8d040.

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A review of: Rowland, Ian, David Nicholas, Hamid R. Jamali, and Paul Huntington. “What do Faculty and Students Really Think about E-books?” Aslib Proceedings: New Information Perspectives; 59.6 (2007): 489-511. Objective – To assess academic users’ awareness, perceptions and levels of use of e-books. Also to discover the purposes for which e-books were used and identify the most effective library marketing strategies for e-books. Design – Survey. Setting – University College London (UCL). Subjects – 1,818 UCL staff and students. Methods – In November 2006, staff and students of UCL were asked to participate in an online survey, administered using SurveyMonkey software. The survey ran November 1-18, 2006. Survey results were analysed using Software Package for Social Sciences (SPSS). Main Results – The response rate to the survey was at least 6.7%. A total of 1,818 completed surveys were received from approximately 27,000 potential respondents, although it is not known whether all e-mails announcing the survey were successfully delivered. No statistically significant differences were found between the demographic profile of the survey sample and the profile of the total UCL population. Data regarding e-book usage were collected from the sub-group of respondents who were existing e-book users, and data regarding use of print collections and book discovery were collected from all respondents. Forty-four per cent of respondents had used e-books, with age a good predictor of usage. However additional data analysis revealed complex demographic interactions underlying e-book usage, making broad generalisations too simplistic. Of existing e-book users, 61% sourced e-books independently of the UCL library. Deeper analysis showed that men were more “library independent” than women and doctoral students were more so than other students and staff. Forty-eight per cent of existing e-book users preferred reading from a screen rather than paper, with men more likely to read from a screen than women, and undergraduates more likely to do so than other groups. Responses to questions about the purpose of reading showed that existing e-book users consulted e-books primarily for work and study, and tended to obtain these from libraries. They were less likely to use e-books for leisure, but if they did so, were likely to obtain them from non-library sources. E-books were compared to traditional print across a range of factors and scored very favourably for ease of copying, currency, space requirements, 24/7 accessibility, convenience and ease of navigation. However e-books scored poorly compared to print for ease of reading, ease of marking a place and ease of annotation. Regarding use of library print titles, data from all respondents indicated that women (42%) were more likely to be regular users of print than men (35%). Print book discovery behaviour is complex, and age, gender and subject area all influenced book discovery preferences. Analysis of data regarding satisfaction with UCL’s current provision of print library books showed that 41% rated this service as “excellent” or “good,” but further analysis by gender, age and subject area revealed pockets of low satisfaction which warrant further attention. Students were much more aware of e-book availability through the UCL library than academic and research staff, with differences in awareness also displayed between different faculties. The library’s Web site and catalogue were the main channels for e-book awareness, with respondents themselves suggesting the library Web site and e-mail user guides as the most effective e-book awareness mechanisms. Conclusion – This study reveals a significant level of interest in and use of e-books in one academic community, but with differences determined by age, gender, academic sub-group and subject area. It builds on the findings of previous studies of e-book usage and indicates key areas for further study. These include whether real-life information behaviour correlates with the self-reporting of respondents, and the intersection of gender and self-reported information behaviour. This information, plus the patterns of book discovery behaviour emerging from this study, will be of interest to publishers, booksellers and libraries.

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9

Khater, Maamar, Salah Eddine Habibeche, and Mimoun Malki. "Behaviour approach for composite OWL-S services discovery." International Journal of Business Information Systems 25, no. 1 (2017): 55. http://dx.doi.org/10.1504/ijbis.2017.083276.

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Khater, Maamar, Mimoun Malki, and Salah Eddine Habibeche. "Behaviour approach for composite OWL-S services discovery." International Journal of Business Information Systems 25, no. 1 (2017): 55. http://dx.doi.org/10.1504/ijbis.2017.10003905.

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11

Eyana, Shiferaw Muleta, Enno Masurel, and Leo J. Paas. "Discovery behaviour and creation behaviour of Ethiopian entrepreneurs: the implications for the performance of their small tourism firms." Journal of Small Business and Enterprise Development 27, no. 6 (September 4, 2020): 865–83. http://dx.doi.org/10.1108/jsbed-04-2019-0108.

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PurposeThe purpose of this study is to assess the effects of discovery and creation behaviour in opportunity identification on firm performance in a developing country context. By doing so, the study adds new knowledge and insights in researching the entrepreneurial behaviour types at the start-up phase and their eventual effects on firm performance.Design/methodology/approachThe study was conducted amongst Ethiopian tour operators (n = 118), which are formally established small tourism firms. A survey questionnaire, which is the main data gathering tool in this study, was prepared based on a distinction between discovery and creation behaviour with regard to the seven entrepreneurial actions described by Alvarez and Barney (2007). Hence, 14 multiple-item measurement scales were derived to define the entrepreneurial behaviour types. Firm performance was measured using four indicators. A regression analysis was conducted to predict the effect of entrepreneurial behaviour at the start-up phase on firm performance.FindingsThe findings of this study provide consistent support for the hypothesis that tour-operating firms in Ethiopia founded through creation behaviour instead of discovery behaviour are performing better in terms of sales, employment, profit and asset size change.Research limitations/implicationsThe theoretical contribution of this study is two-fold. First, it provides a scale for measuring the extent to which discovery and/or creation opportunity identification played a role in the start-up phase of the business. Second, the study assesses the effects of discovery behaviour and creation behaviour in opportunity identification on firm performance in a developing country context.Originality/valueThe entrepreneurs' behaviour through which they identify and pursue new opportunities may have a considerable effect on the subsequent performance of their newly established firms. It is, therefore, important to understand effects, which result from differences in entrepreneurs' behaviour at the start-up phase, in terms of outcomes such as firm performance among small businesses. Nonetheless, there is little empirical research conducted in this regard, particularly in the context of developing countries. This study contributes to the literature of entrepreneurship by applying entrepreneurial behaviour types, i.e. discovery and creation, as determinants of small firms' performance in a developing country context. Furthermore, it is one of the few studies concentrating on formal instead of informal operations in an African context.

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12

Joseph, Katongole, Odongo Steven Eyobu, Philemon Kasyoka, and Tonny J. Oyana. "A Link Fabrication Attack Mitigation Approach (LiFAMA) for Software Defined Networks." Electronics 11, no. 10 (May 16, 2022): 1581. http://dx.doi.org/10.3390/electronics11101581.

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In software defined networks (SDNs), the controller is a critical resource, yet it is a potential target for attacks as well. The conventional OpenFlow Discovery Protocol (OFPD) used in building the topological view for the controller has vulnerabilities that easily allow attackers to poison the network topology by creating fabricated links with malicious effects. OFDP makes use of the link layer discovery protocol (LLDP) to discover existing links. However, the LLDP is not efficient at fabricated link detection. Existing approaches to mitigating this problem have mostly been passive approaches that depend on observing unexpected behaviour. Examples of such behaviour include link latency and packet patterns to trigger attack alerts. The problem with the existing solutions is that their implementations cause longer link discovery time. This implies that a dense SDN would suffer from huge delays in the link discovery process. In this study, we propose a link fabrication attack (LFA) mitigation approach (LiFAMA), which is an active mitigation approach and one that minimises the link discovery time. The approach uses LLDP packet authentication together with keyed-hash-based message authentication code (HMAC) and a link verification database (PostgreSQL) that stores records of all known and verified links in the network. This approach was implemented in an emulated SDN environment using Mininet and a Python-based open-source OpenFlow (POX) controller. The results show that the approach detects fabricated links in an SDN in real time and helps mitigate them. Additionally, the link discovery time of LiFAMA out-competes that of an existing LFA mitigation approach.

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13

Nauta, Meike, Doina Bucur, and Christin Seifert. "Causal Discovery with Attention-Based Convolutional Neural Networks." Machine Learning and Knowledge Extraction 1, no. 1 (January 7, 2019): 312–40. http://dx.doi.org/10.3390/make1010019.

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Having insight into the causal associations in a complex system facilitates decision making, e.g., for medical treatments, urban infrastructure improvements or financial investments. The amount of observational data grows, which enables the discovery of causal relationships between variables from observation of their behaviour in time. Existing methods for causal discovery from time series data do not yet exploit the representational power of deep learning. We therefore present the Temporal Causal Discovery Framework (TCDF), a deep learning framework that learns a causal graph structure by discovering causal relationships in observational time series data. TCDF uses attention-based convolutional neural networks combined with a causal validation step. By interpreting the internal parameters of the convolutional networks, TCDF can also discover the time delay between a cause and the occurrence of its effect. Our framework learns temporal causal graphs, which can include confounders and instantaneous effects. Experiments on financial and neuroscientific benchmarks show state-of-the-art performance of TCDF on discovering causal relationships in continuous time series data. Furthermore, we show that TCDF can circumstantially discover the presence of hidden confounders. Our broadly applicable framework can be used to gain novel insights into the causal dependencies in a complex system, which is important for reliable predictions, knowledge discovery and data-driven decision making.

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Lalchhandama, K. "The path to the 2017 Nobel Prize in Physiology or Medicine." Science Vision 17, no. 3 (September 30, 2017): S1—S13. http://dx.doi.org/10.33493/scivis.17.03.06.

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Jeffrey C. Hall, Michael Rosbash and Michael W. Young are selected to receive the 2017 Nobel Prize in Physiology or Medicine 2017 “for their discoveries of molecular mechanisms controlling the circadian rhythm”. They discovered clock genes and their protein-products that control the circadian rhythm in the fruit fly, Drosophila melanogaster. Starting with their work on the major clock gene period (per) in the 1980s, they subsequently discovered novel genes such as Clock, cry, cycle, dbt, pdp1, per, tim, vri, and their mutations that affect the fruit fly daily behaviours. With the proteins these genes produce, their discoveries have established the understanding of a complex molecular network of clock genes and proteins. This comprehensive knowledge further enrich our perception of circadian rhythm in other animals, including us. Behind this knowledge is the foundation of understanding of many disease and health-related issues concerned with our genetics, hormones, and behaviour. Their discoveries are befitting of the Nobel Prize, but it is a bit of an irony that the pioneer discovers have already died and will forever be denied of their deservedly fame. The epoch-making discovery of per gene was in fact by Seymour Benzer and his student Ronald J. Konopka discovered in 1971. Konopka especially continued as one of the leading scientists, in many of the later discoveries. But life and luck for Nobel fame ran out for them.

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15

Alvarez-Pérez, Yolanda, and Ernesto López-Mellado. "Splitting Long Event Sequences Drawn from Cyclic Processes for Discovering Workflow Nets." Mathematical Problems in Engineering 2024 (January 3, 2024): 1–9. http://dx.doi.org/10.1155/2024/7033048.

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This paper addresses the preprocessing of event sequences issued from cyclic discrete event processes, which perform activities continuously whose delimitation of jobs or cases is not explicit. The sequences include several occurrences of the same events due to the iterative behaviour, such that discovery methods conceived for workflow nets (WFN) cannot process such sequences. In order to handle this issue, a novel technique for splitting a set of long event traces S = {Sk} (|S| ≥ 1) exhibiting the behaviour of cyclic processes is presented. The aim of this technique is to obtain from S a log λ = {σi} of event traces representing the same behaviour, which can be processed by methods that discover WFN. The procedures derived from this technique have polynomial-time complexity.

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16

Aulia, Suci Maudy, and Evi Martha. "Analysis of Food Waste Behaviour in the Household Sector." Indonesian Journal of Global Health Research 7, no. 1 (February 1, 2025): 963–74. https://doi.org/10.37287/ijghr.v7i1.5225.

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A total of 62% of food waste comes from household waste in the world. In Indonesia, as much as 40.3% of food waste is recorded as waste generation in 2020. This problem of food waste arises from a diverse set of household behaviours. This study aims to analyze the behaviors that lead to food waste in households using Social Cognitive Theory (SCT) and Theory of Planned Behaviour (TPB). This research is using the Systematic Literature Review research method. The search was conducted using three databases namely Google Scholar, Pubmed, and ScienceDirect. The keywords used were ‘food waste’, ‘behavior’, and ‘household’. The inclusion criteria of this study were articles published since the last 5 years using English. Articles were screened using the PRISMA Framework. Food waste behaviour in household sector can occur due to various factors such as demographic, consumptive behaviour, food management knowledge and skills, psychological and consumer perceptions, and environmental and accessibility in community. The discovery of factors causing food waste through the SCT and TPB theoretical approach can help in planning more optimal and targeted health promotion interventions.

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17

Khater, Maamar, and Mimoun Malki. "Formal method-based behaviour for semantic web services discovery." International Journal of Web Science 2, no. 4 (2014): 203. http://dx.doi.org/10.1504/ijws.2014.070669.

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Salimkhanov, Rustam H., Vladislav R. Sharifullin, Yulia R. Kushnareva, Azamat Kh Kade, and Pavel P. Polyakov. "Role and significance of asprosin in feeding behaviour and metabolism." Kuban Scientific Medical Bulletin 27, no. 1 (February 20, 2020): 96–104. http://dx.doi.org/10.25207/1608-6228-2020-27-1-96-104.

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This article presents a review of available information on asprosin — a hormone of white adipose tissue discovered in 2016. The history of its discovery, as well as its action mechanisms and main targets are examined. Changes in the plasma level of asprosin under some pathological conditions are analysed. The importance of studying asprosin is determined by its functions: asprosin regulates physiological processes during fasting and plays an important role in the development of metabolic disorders, such as insulin resistance. There are relatively few studies concerned with asprosin; however, this hormone can already be considered as a diagnostic marker and a potential target in the treatment of certain metabolic disorders, e.g. diabetes mellitus and obesity.

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Sánchez-Heres, Luis Felipe. "Simplification and Event Identification for AIS Trajectories: the Equivalent Passage Plan Method." Journal of Navigation 72, no. 2 (September 26, 2018): 307–20. http://dx.doi.org/10.1017/s037346331800067x.

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Two pre-processes for Automatic Identification System (AIS) trajectories commonly reported in the maritime knowledge discovery literature are trajectory simplification and event identification. Both pre-processes reduce storage and computational expenses by reducing the number of data points to be used in an analysis. This paper presents an event identification and trajectory simplification method based on behaviour identification and translation. Trajectory segments deemed to correspond to coastal or ocean navigation are translated into equivalent passage plan segments; a succinct description of the movements and behaviour of the ship. As a trajectory simplification method, it provides two main advantages over commonly used trajectory simplification methods: more meaningful simplified trajectories with better encoding of basic behaviours and the possibility to retain interesting behaviours in full resolution. As an event identification method, it is capable of differentiating between normal ocean or coastal navigating behaviour and complex or interesting behaviour, such as pilotage, reaction to a traffic conflict, or an involuntary deviation from the passage plan.

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20

Kalenkova, Anna, Josep Carmona, Artem Polyvyanyy, and Marcello La Rosa. "Automated Repair of Process Models with Non-local Constraints Using State-Based Region Theory." Fundamenta Informaticae 183, no. 3-4 (January 10, 2022): 293–317. http://dx.doi.org/10.3233/fi-2021-2089.

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State-of-the-art process discovery methods construct free-choice process models from event logs. Consequently, the constructed models do not take into account indirect dependencies between events. Whenever the input behaviour is not free-choice, these methods fail to provide a precise model. In this paper, we propose a novel approach for enhancing free-choice process models by adding non-free-choice constructs discovered a-posteriori via region-based techniques. This allows us to benefit from the performance of existing process discovery methods and the accuracy of the employed fundamental synthesis techniques. We prove that the proposed approach preserves fitness with respect to the event log while improving the precision when indirect dependencies exist. The approach has been implemented and tested on both synthetic and real-life datasets. The results show its effectiveness in repairing models discovered from event logs.

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Turner, Adam, and Angela Samantha Maitland Irwin. "Bitcoin transactions: a digital discovery of illicit activity on the blockchain." Journal of Financial Crime 25, no. 1 (January 2, 2018): 109–30. http://dx.doi.org/10.1108/jfc-12-2016-0078.

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Purpose The purpose of this paper is to determine if Bitcoin transactions could be de-anonymised by analysing the Bitcoin blockchain and transactions conducted through the blockchain. In addition, graph analysis and the use of modern social media technology were examined to determine how they may help reveal the identity of Bitcoin users. A review of machine learning techniques and heuristics was carried out to learn how certain behaviours from the Bitcoin network could be augmented with social media technology and other data to identify illicit transactions. Design/methodology/approach A number of experiments were conducted and time was spend observing the network to ascertain how Bitcoin transactions work, how the Bitcoin protocol operates over the network and what Bitcoin artefacts can be examined from a digital forensics perspective. Packet sniffing software, Wireshark, was used to see whether the identity of a user is revealed when they set up a wallet via an online wallet service. In addition, a block parser was used to analyse the Bitcoin client synchronisation and reveal information on the behaviour of a Bitcoin node when it joins the network and synchronises to the latest blockchain. The final experiment involved setting up and witnessing a transaction using the Bitcoin Client API. These experiments and observations were then used to design a proof of concept and functional software architecture for searching, indexing and analyzing publicly available data flowing from the blockchain and other big data sources. Findings Using heuristics and graph analysis techniques show us that it is possible to build up a picture of behaviour of Bitcoin addresses and transactions, then utilise existing typologies of illicit behaviour to collect, process and exploit potential red flag indicators. Augmenting Bitcoin data, big data and social media may be used to reveal potentially illicit financial transaction going through the Bitcoin blockchain and machine learning applied to the data sets to rank and cluster suspicious transactions. Originality/value The development of a functional software architecture that, in theory, could be used to detect suspicious illicit transactions on the Bitcoin network.

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Surnis, M. P., B. C. Joshi, M. A. McLaughlin, and V. Gajjar. "Discovery of an intermittent pulsar: PSR J1839+15." Proceedings of the International Astronomical Union 8, S291 (August 2012): 508–10. http://dx.doi.org/10.1017/s1743921312024684.

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AbstractWe report the discovery of a new pulsar PSR J1839+15, having a period of 549 ms and a DM of 68 pc cm−3. We also present its timing solution and report the intermittent behaviour of its radio emission.

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Cao, Haoyang, Xun Chen, Haolin Li, and Chao Shen. "Frictional Behaviour of the Microstructural Surfaces Created by Cylindrical Grinding Processes." Applied Sciences 12, no. 2 (January 10, 2022): 618. http://dx.doi.org/10.3390/app12020618.

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Cylindrical surface grinding can create defined textural patterns on a component with high quantity. This paper presents an experimental investigation of the frictional behaviours of ground cylindrical microstructural surfaces under a well lubrication condition. It shows that the coefficient of friction (COF) of microstructural surface is influenced by different workload and rotation speed. The results reveal that conventional surface roughness parameters do not present the influence of surface microstructure on friction performance well. However, the paper presents an interesting discovery that the friction behaviour of microstructural surfaces created by grinding could be controlled by combining dressing and grinding conditions. Such a discovery provides a logic way to reduce surface friction for energy efficiency applications. A few functional relationships have been established to illustrate the influence of microstructural features on friction. It was found that the ground microstructural surface could improve friction performance up to 20% compared to the smoother surfaces without defined surface textural patterns.

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24

Mostafa, Mohamed M. "Knowledge discovery of hidden consumer purchase behaviour: a market basket analysis." International Journal of Data Analysis Techniques and Strategies 7, no. 4 (2015): 384. http://dx.doi.org/10.1504/ijdats.2015.073867.

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25

Kokel, D., and R. T. Peterson. "Chemobehavioural phenomics and behaviour-based psychiatric drug discovery in the zebrafish." Briefings in Functional Genomics and Proteomics 7, no. 6 (October 31, 2008): 483–90. http://dx.doi.org/10.1093/bfgp/eln040.

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Baguley, B. C., and E. S. Marshall. "In vitro modelling of human tumour behaviour in drug discovery programmes." European Journal of Cancer 40, no. 6 (April 2004): 794–801. http://dx.doi.org/10.1016/j.ejca.2003.12.019.

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27

Borsci, Simone, Alessandro Londei, and Stefano Federici. "The Bootstrap Discovery Behaviour (BDB): a new outlook on usability evaluation." Cognitive Processing 12, no. 1 (November 3, 2010): 23–31. http://dx.doi.org/10.1007/s10339-010-0376-6.

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28

Saeed, Munazza, and Ilhaamie Abdul Ghani Azmi. "A cross-cultural study of staying reasons of American brands." Journal of Islamic Marketing 10, no. 1 (March 4, 2019): 249–68. http://dx.doi.org/10.1108/jima-08-2017-0086.

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Purpose Although researchers have investigated thoroughly the consumer’s brand switching behaviour, the probability of confusion regarding “brand switching” is a less travelled road so far. Therefore, the purpose of current study is to investigate and highlight the underlying convincing parameters in relation to not switching from American brands within the context of millennial Muslim consumers in Pakistan and Malaysia. Design/methodology/approach Data were collected from 704 consumers living in two divergent cultures, who were asked about American brands. Two categories of “reasons to stay” were examined: switching barriers and affirmatory factors. Findings The main discovery was that staying reasons for specific brands could be different in two different cultures, but they influence the ultimate brand switching behaviour. Practical implications This study is important for those firms who have many prospective switchers because it is important to understand why these customers stay and discover to what extent such firms can discourage such consumers from leaving, in both positive and negative ways. Originality/value This is the first paper of its kind that examines the brand switching behaviour of millennial Muslim consumers.

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29

Vičič, Jernej, and Aleksandar Tošić. "Application of Benford’s Law on Cryptocurrencies." Journal of Theoretical and Applied Electronic Commerce Research 17, no. 1 (February 25, 2022): 313–26. http://dx.doi.org/10.3390/jtaer17010016.

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The manuscript presents a study of the possibility of use of Benford’s law conformity test, a well proven tool in the accounting fraud discovery, on a new domain: the discovery of anomalies (possibly fraudulent behaviour) in the the cryptocurrency transactions. Blockchain-based currencies or cryptocurrencies have become a global phenomenon known to most people as a disruptive technology, and a new investment vehicle. However, due to their decentralized nature, regulating these markets has presented regulators with difficulties in finding a balance between nurturing innovation, and protecting consumers. The growing concerns about illicit activity have forced regulators to seek new ways of detecting, analyzing, and ultimately policing public blockchain transactions. Extensive research on machine learning, and transaction graph analysis algorithms has been done to track suspicious behaviour. However, having a macro view of a public ledger is equally important before pursuing a more fine-grained analysis. Benford’s law, the law of first digit, has been extensively used as a tool to discover accountant frauds (many other use cases exist). The basic motivation that drove our research presented in this paper was to test the applicability of the well established method to a new domain, in this case the identification of anomalous behavior using Benford’s law conformity test to the cryptocurrency domain. The research focused on transaction values in all major cryptocurrencies. A suitable time-period was identified that was long enough to present sufficiently large number of observations for Benford’s law conformity tests and was also situated long enough in the past so that the anomalies were identified and well documented. The results show that most of the cryptocurrencies that did not conform to Benford’s law had well documented anomalous incidents, the first digits of aggregated transaction values of all well known cryptocurrency projects were conforming to Benford’s law. Thus the proposed method is applicable to the new domain.

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30

Kumar, Anuj, Ashish Nag, Pratibha Sharma, Vishal Choudhary, and Vipan Kumar. "Digital Discovery: e-WOM's Influence on Attitude and Behavioural Intention Towards Adventure Destination." International Research Journal of Multidisciplinary Scope 06, no. 01 (2025): 1157–67. https://doi.org/10.47857/irjms.2025.v06i01.02338.

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The main aim of the study is to examine the attitudes and behavior of travelers toward destinations impacted by ‘electronic word-of-mouth’. In the era of digital technology, where information spreads rapidly with a single click, ‘electronic word-of-mouth’ (e-WOM) significantly influences adventure destinations. Attitude and behavioural intention influenced by e-WOM while choosing a destination. The study employed a quantitative approach using exploratory analysis to achieve the objective. Data was gathered through a well-organized questionnaire from tourists visiting Himachal Pradesh. A total of 173 responses received out of 210. The analysis was conducted using SPSS 28. The findings provide distinct results from previous studies. It shows that e-WOM has an insignificant influence on tourist behaviour intention and attitude. This study provides valuable insights for the government, tourism sector, destination management, and stakeholders. The study aids the tourism industry in gaining a deeper comprehension of tourists and tailoring their offerings accordingly. Additionally, it contributes to the management of destinations and the attraction of tourists. Research on electronic word-of-mouth (e-WOM) in Himachal Pradesh is limited, but few studies emphasise its significance in influencing tourist behaviour and attitudes. Additional investigation in this field has the potential to yield a more profound understanding and contribute to the formulation of more efficient tourist policies for the region.

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31

Bikadi, Zsolt, Robert Ivanyi, Lajos Szente, Istvan Ilisz, and Eszter Hazai. "Cyclodextrin Complexes: Chiral Recognition and Complexation Behaviour." Current Drug Discovery Technologies 4, no. 4 (December 1, 2007): 282–94. http://dx.doi.org/10.2174/157016307783220549.

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32

Perry, Alexis. "New mechanism, new chromophore: investigating the electrophilic behaviour of styrylindolium dyes." Organic & Biomolecular Chemistry 17, no. 19 (2019): 4825–34. http://dx.doi.org/10.1039/c9ob00641a.

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33

Chapouthier, Georges. "GABA receptor subunits and global behaviour." Drug Discovery Today 8, no. 17 (September 2003): 778. http://dx.doi.org/10.1016/s1359-6446(03)02761-2.

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34

Wonnacott, Susan, Nimish Sidhpura, and David JK Balfour. "Nicotine: from molecular mechanisms to behaviour." Current Opinion in Pharmacology 5, no. 1 (February 2005): 53–59. http://dx.doi.org/10.1016/j.coph.2004.12.002.

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35

Whalley, Katherine. "Zebrafish behaviour in profile." Nature Reviews Drug Discovery 9, no. 3 (March 2010): 192–93. http://dx.doi.org/10.1038/nrd3120.

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36

Harrison, Charlotte. "Blocking cocaine-seeking behaviour." Nature Reviews Drug Discovery 9, no. 10 (October 2010): 765. http://dx.doi.org/10.1038/nrd3281.

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37

Aharonov, Y., F. Colombo, S. Nussinov, I. Sabadini, D. C. Struppa, and J. Tollaksen. "Superoscillation phenomena in SO(3)." Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 468, no. 2147 (June 27, 2012): 3587–600. http://dx.doi.org/10.1098/rspa.2012.0131.

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38

Ofodum, C. N., and P. N. Okeke. "On the discovery of new behaviour in the oscillation of HD 101065." New Astronomy 43 (February 2016): 42–48. http://dx.doi.org/10.1016/j.newast.2015.07.009.

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39

Bierlich, Christian. "String Interactions as a Source of Collective Behaviour." Universe 10, no. 1 (January 17, 2024): 46. http://dx.doi.org/10.3390/universe10010046.

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The discovery of collective effects in small collision systems has spurred a renewed interest in hadronization models, and is also a source for collective effects all the way to large collision systems, where they are usually ascribed to the creation of a Quark–Gluon Plasma. In this topical mini-review, the microscopic model for string interactions, based on the Lund string hadronization model, developed with exactly this aim in mind is reviewed, and some prospects for the future are presented.

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40

Erzurumluoglu, A. Mesut, Mengzhen Liu, Victoria E. Jackson, Daniel R. Barnes, Gargi Datta, Carl A. Melbourne, Robin Young, et al. "Meta-analysis of up to 622,409 individuals identifies 40 novel smoking behaviour associated genetic loci." Molecular Psychiatry 25, no. 10 (January 7, 2019): 2392–409. http://dx.doi.org/10.1038/s41380-018-0313-0.

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Abstract Smoking is a major heritable and modifiable risk factor for many diseases, including cancer, common respiratory disorders and cardiovascular diseases. Fourteen genetic loci have previously been associated with smoking behaviour-related traits. We tested up to 235,116 single nucleotide variants (SNVs) on the exome-array for association with smoking initiation, cigarettes per day, pack-years, and smoking cessation in a fixed effects meta-analysis of up to 61 studies (up to 346,813 participants). In a subset of 112,811 participants, a further one million SNVs were also genotyped and tested for association with the four smoking behaviour traits. SNV-trait associations with P < 5 × 10−8 in either analysis were taken forward for replication in up to 275,596 independent participants from UK Biobank. Lastly, a meta-analysis of the discovery and replication studies was performed. Sixteen SNVs were associated with at least one of the smoking behaviour traits (P < 5 × 10−8) in the discovery samples. Ten novel SNVs, including rs12616219 near TMEM182, were followed-up and five of them (rs462779 in REV3L, rs12780116 in CNNM2, rs1190736 in GPR101, rs11539157 in PJA1, and rs12616219 near TMEM182) replicated at a Bonferroni significance threshold (P < 4.5 × 10−3) with consistent direction of effect. A further 35 SNVs were associated with smoking behaviour traits in the discovery plus replication meta-analysis (up to 622,409 participants) including a rare SNV, rs150493199, in CCDC141 and two low-frequency SNVs in CEP350 and HDGFRP2. Functional follow-up implied that decreased expression of REV3L may lower the probability of smoking initiation. The novel loci will facilitate understanding the genetic aetiology of smoking behaviour and may lead to the identification of potential drug targets for smoking prevention and/or cessation.

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41

Birchall, Lee T., Giada Truccolo, Lewis Jackson, and Helena J. Shepherd. "Co-crystallisation as a modular approach to the discovery of spin-crossover materials." Chemical Science 13, no. 11 (2022): 3176–86. http://dx.doi.org/10.1039/d1sc04956a.

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The switching behaviour of spin crossover cocrystals can be modified through changing the coformer and thus co-crystallisation presents a rapid, facile and highly modular tool for the discovery of new switchable materials.

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42

Buckley, D. A. H. "On the Long-Term Light Curve Behaviour of the Intermediate Polar TX Col." International Astronomical Union Colloquium 158 (1996): 185–86. http://dx.doi.org/10.1017/s0252921100038598.

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TX Col (1H0547–407; Porb = 5.72 h) is an intermediate polar (IP) with spin and synodic (beat) periods of 1911s and 2106 s respectively (Buckley & Tuohy 1989). EXOSAT observations (Tuohy et al. 1986) showed the beat period dominated at higher energies (ME; 1… 9keV), while the spin period was stronger in softer X-rays (LE1; 0.1… IkeV). The high flux level, and pulse fraction (>70%), of the soft X-rays were unique in an IP at that time. Now three other IPs, recently discovered from the ROSAT survey, have been found to show a true separate soft X-ray component, similar to the polars (Motch & Haberl 1994).The strength of the synodic X-ray period in TX Col was, until the recent discovery of the variable polarised IP, RX J1712.6–2414 (Buckley et al. 1995), unique. This was taken as evidence for direct accretion onto the magnetosphere (e.g. Mason, Rosen & Hellier 1988), through a component of the accretion stream overflowing the disc (Hellier 1992).

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43

Cameron, A. D., D. J. Champion, M. Bailes, V. Balakrishnan, E. D. Barr, C. G. Bassa, S. Bates, et al. "The High Time Resolution Universe Pulsar Survey – XVI. Discovery and timing of 40 pulsars from the southern Galactic plane." Monthly Notices of the Royal Astronomical Society 493, no. 1 (January 14, 2020): 1063–87. http://dx.doi.org/10.1093/mnras/staa039.

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ABSTRACT We present the results of processing an additional 44 per cent of the High Time Resolution Universe South Low Latitude (HTRU-S LowLat) pulsar survey, the most sensitive blind pulsar survey of the southern Galactic plane to date. Our partially coherent segmented acceleration search pipeline is designed to enable the discovery of pulsars in short, highly accelerated orbits, while our 72-min integration lengths will allow us to discover pulsars at the lower end of the pulsar luminosity distribution. We report the discovery of 40 pulsars, including three millisecond pulsar-white dwarf binary systems (PSRs J1537−5312, J1547−5709, and J1618−4624), a black-widow binary system (PSR J1745−23) and a candidate black-widow binary system (PSR J1727−2951), a glitching pulsar (PSR J1706−4434), an eclipsing binary pulsar with a 1.5-yr orbital period (PSR J1653−45), and a pair of long spin-period binary pulsars which display either nulling or intermittent behaviour (PSRs J1812−15 and J1831−04). We show that the total population of 100 pulsars discovered in the HTRU-S LowLat survey to date represents both an older and lower luminosity population, and indicates that we have yet to reach the bottom of the luminosity distribution function. We present evaluations of the performance of our search technique and of the overall yield of the survey, considering the 94 per cent of the survey which we have processed to date. We show that our pulsar yield falls below earlier predictions by approximately 25 per cent (especially in the case of millisecond pulsars), and discuss explanations for this discrepancy as well as future adaptations in RFI mitigation and searching techniques which may address these shortfalls.

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44

Abit, Lirong Yu, Julia Hwei Zhong Moh, Jongkar Grinang, Wan Zabidi Wan Morni, Abdulla-Al Asif, and Kamil Latif. "First report of hard shell female mating in the crenate swimming crab, Thalamita crenata Ruppell, 1830 (Crustacea: Decapoda: Portunidae)." Aquatic Invertebrates and Ecosystem Research 01, no. 01 (December 29, 2024): 21–25. https://doi.org/10.69517/aier.2024.01.01.0004.

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The mating behaviour of crustaceans, particularly brachyuran crabs, is commonly associated with the female molting cycle, with soft shell mating prevalent among sexually reproducing species, while hard shell mating is a rarely observed adaptation within the subfamily Thalamitinae. This study marks the initial documentation of hard shell female mating in Thalamita crenata, a portunid crab. The study aims to elucidate the reproductive dynamics of T. crenata by capturing and observing mating behaviours in captivity. Mature T. crenata individuals of both sexes were captured and housed in controlled conditions. Observations were conducted to document hard shell mating behaviours, employing digital video and photography for detailed analysis. After 50 days, a notable instance of hard shell mating was observed, characterized by forceful gripping and flipping manoeuvres by the male, culminating in copulation lasting approximately 8 minutes. This discovery enriches our understanding of T. crenata‘s reproductive ecology, providing insights into unique mating strategies within the subfamily Thalamitinae. This discovery encourages further exploration of captive breeding possibilities and contributes to a holistic comprehension of crustacean mating strategies.

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45

van Putten, Maurice H. P. M., and Anton F. P. van Putten. "Discovery of linear asymptotic behaviour at micro-Kelvin resolution in a modulated Rayleigh–Bénard chamber." Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 463, no. 2086 (July 17, 2007): 2495–504. http://dx.doi.org/10.1098/rspa.2007.1894.

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A new experiment is described on heat transfer in a Rayleigh–Bénard chamber modulated by an external flow. The results show a linear response of thermal gradients to small Reynolds numbers, here resolved with micro-Kelvin resolution at room temperature. It approaches a hyperbolic behaviour at large Reynolds numbers. This response is nowhere reminiscent of singular behaviour in boundary layer theory. It may, instead, represent a cellular model for describing heat transfer in porous media. An application to correlating residential gas-energy usage and local weather data is included.

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46

Li, Cai, Majid Murad, Sheikh Farhan Ashraf, Nausheen Syed, and Madiha Riaz. "Entrepreneurial nascent behaviour: The role of causation process in opportunity discovery and creation." Entrepreneurial Business and Economics Review 8, no. 4 (2020): 183–200. http://dx.doi.org/10.15678/eber.2020.080410.

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47

Stelmaszewska, Hanna, B. L. William Wong, and Penelope M. Sanderson. "Methods for gathering and analyzing information seeking behaviour in electronic resource discovery systems." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 54, no. 11 (September 2010): 807–11. http://dx.doi.org/10.1177/154193121005401115.

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48

Liang, W., and M. Zhou. "Discovery, characterization and modelling of novel shape memory behaviour of fcc metal nanowires." Philosophical Magazine 87, no. 14-15 (May 11, 2007): 2191–220. http://dx.doi.org/10.1080/14786430701280943.

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49

Casarrubea, M., M. S. Magnusson, M. T. Anguera, G. K. Jonsson, M. Castañer, A. Santangelo, M. Palacino, et al. "T-pattern detection and analysis for the discovery of hidden features of behaviour." Journal of Neuroscience Methods 310 (December 2018): 24–32. http://dx.doi.org/10.1016/j.jneumeth.2018.06.013.

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50

Uddin, Imran, Siddarthan Venkatachalam, Arka Mukhopadhyay, and Mohd Amil Usmani. "Nanomaterials in the Pharmaceuticals: Occurrence, Behaviour and Applications." Current Pharmaceutical Design 22, no. 11 (March 1, 2016): 1472–84. http://dx.doi.org/10.2174/1381612822666160118104727.

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