Relevant bibliographies by topics / Distance based

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Distance based'

Author: Grafiati
Published: 4 June 2021
Last updated: 14 June 2025

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Journal articles on the topic "Distance based"

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Kulkarni, Mandar M. "Mahalanobis Distance-based Over-Sampling Technique." Journal of Advanced Research in Dynamical and Control Systems 12, SP8 (2020): 874–82. http://dx.doi.org/10.5373/jardcs/v12sp8/20202591.

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Park, Chanseok, Ayanendranath Basu, and Srabashi Basu. "Robust minimum distance inference based on combined distances." Communications in Statistics - Simulation and Computation 24, no. 3 (1995): 653–73. http://dx.doi.org/10.1080/03610919508813265.

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Abdullah, Rawaz H. "Distance Measurement using an Infrared Distance Sensor Based on Lagrange and Newton Interpolating Polynomials." Journal of Zankoy Sulaimani - Part A 17, no. 3 (2015): 149–60. http://dx.doi.org/10.17656/jzs.10408.

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Luong, A., and M. E. Thompson. "Minimum-distance methods based on quadratic distances for transforms." Canadian Journal of Statistics 15, no. 3 (1987): 239–51. http://dx.doi.org/10.2307/3314914.

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Elen, Abdullah, and Emre Avuçlu. "Standardized Variable Distances: A distance-based machine learning method." Applied Soft Computing 98 (January 2021): 106855. http://dx.doi.org/10.1016/j.asoc.2020.106855.

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Angiulli, Fabrizio, Stefano Basta, Stefano Lodi, and Claudio Sartori. "Reducing distance computations for distance-based outliers." Expert Systems with Applications 147 (June 2020): 113215. http://dx.doi.org/10.1016/j.eswa.2020.113215.

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Alhadidi, Basim, Faisal Y. Alzyoud, Ayman Alawin, and Hasan Aldabbas. "A Moderated Distance Based Broadcasting Algorithm for MANETs." International Journal of Computer and Communication Engineering 3, no. 6 (2014): 398–403. http://dx.doi.org/10.7763/ijcce.2014.v3.357.

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Dai, Deliang. "Mahalanobis Distances on Factor Model Based Estimation." Econometrics 8, no. 1 (2020): 10. http://dx.doi.org/10.3390/econometrics8010010.

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A factor model based covariance matrix is used to build a new form of Mahalanobis distance. The distribution and relative properties of the new Mahalanobis distances are derived. A new type of Mahalanobis distance based on the separated part of the factor model is defined. Contamination effects of outliers detected by the new defined Mahalanobis distances are also investigated. An empirical example indicates that the new proposed separated type of Mahalanobis distances predominate the original sample Mahalanobis distance.
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JIA, Nan, Xiao-dong FU, Yuan HUANG, Xiao-yan LIU, and Zhi-hua DAI. "Workflow distance metric based on tree edit distance." Journal of Computer Applications 32, no. 12 (2013): 3529–33. http://dx.doi.org/10.3724/sp.j.1087.2012.03529.

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Fu, Zixiang. "Sub-pixel Distance Measurement Algorithm Based on Improved SURF." International Journal of Engineering Research and Science 3, no. 8 (2017): 42–45. http://dx.doi.org/10.25125/engineering-journal-ijoer-aug-2017-8.

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Dissertations / Theses on the topic "Distance based"

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Sanchez, Mathieu. "Distance based heterogeneous volume modelling." Thesis, Bournemouth University, 2015. http://eprints.bournemouth.ac.uk/24521/.

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Natural objects, such as bones and watermelons, often have a heterogeneous composition and complex internal structures. Material properties inside the object can change abruptly or gradually, and representing such changes digitally can be problematic. Attribute functions represent physical properties distribution in the volumetric object. Modelling complex attributes within a volume is a complex task. There are several approaches to modelling attributes, but distance functions have gained popularity for heterogeneous object modelling because, in addition to their usefulness, they lead to predictability and intuitiveness. In this thesis, we consider a unified framework for heterogeneous volume modelling, specifically using distance fields. In particular, we tackle various issues associated with them such as the interpolation of volumetric attributes through time for shape transformation and intuitive and predictable interpolation of attributes inside a shape. To achieve these results, we rely on smooth approximate distance fields and interior distances. This thesis deals with outstanding issues in heterogeneous object modelling, and more specifically in modelling functionally graded materials and structures using different types of distances and approximation thereof. We demonstrate the benefits of heterogeneous volume modelling using smooth approximate distance fields with various applications, such as adaptive microstructures, morphological shape generation, shape driven interpolation of material properties through time and shape conforming interpolation of properties. Distance based modelling of attributes allows us to have a better parametrization of the object volume and design gradient properties across an object. This becomes more important nowadays with the growing interest in rapid prototyping and digital fabrication of heterogeneous objects and can find practical applications in different industries.
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Icev, Aleksandar. "DARM distance-based association rule mining." Link to electronic thesis, 2003. http://www.wpi.edu/Pubs/ETD/Available/etd-0506103-132405.

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Turanlı, Dehan Aytaç Sıtkı. "A basic web-based distance education model/." [s.l.]: [s.n.], 2005. http://library.iyte.edu.tr/tezler/master/bilgisayaryazilimi/T000337.pdf.

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Thesis (Master)--İzmir Institute Of Technology, İzmir, 2005.
Keywords: Distance education, web based education, model, system approach, questionnaire. Includes bibliographical references (leaves. 147).
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Tasan, Murat. "Distance-Based Indexing: Observations, Applications, and Improvements." Case Western Reserve University School of Graduate Studies / OhioLINK, 2006. http://rave.ohiolink.edu/etdc/view?acc_num=case1130976001.

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Kosba, Essam Mahmoud Abdel Monem. "Generating computer-based advice in web-based distance education environments." Thesis, University of Leeds, 2004. http://etheses.whiterose.ac.uk/1329/.

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There is an increasing demand for distance education to be implemented nowadays by most educational organizations. The Internet has become the medium for course delivery, and Web Course Management Systems (WCMS) are widely used to deploy distance courses which need to provide appropriate support to both students and instructors. The instructors play a central role in managing the course, and their success in dealing with reported problems in distance learning, such as students’ isolation and disorientation in hyperspace, depends on the understanding the instructors have about what is happening in distance classes. Based on tracking data, most WCMS provide statistical information to help instructors monitor their students. However, there is a lack of automatic features to guide instructors by pointing at important situations and highlighting possible problems. Such features may help instructors, and reduce the workload and communication overhead needed for managing distance classes effectively. In this thesis, an approach is proposed where an artificial advisor is built to inform course instructors and facilitators about possible problems and needs of individuals and groups of students, as well as to suggest appropriate actions, when possible. A framework named TADV (Teacher ADVisor) has been developed to build fuzzy student, group, and class models based on the tracking data generated by WCMS. A taxonomy containing three main categories of advice related to the performance of individual students, groups of students, and the whole class is proposed, and an advice generator mechanism is developed. Important situations are highlighted to instructors and, when appropriate, possible actions are recommended. A prototype of TADV is implemented and integrated within an existing WCMS. An empirical evaluation of the prototype has been conducted in a Discrete Mathematics course at the Arab Academy for Science and Technology, Alexandria, Egypt. The evaluative study has shown that TADV provides practical and effective advice. It allows advice generation and informing of instructors, which, in turn, made it easy to send help and feedback to distance students. The instructors confirmed the appropriateness of the generated advice and appreciated the knowledge they gained about their students. The students appreciated the feedback received from the instructors, which was a result of TADV recommendations. The study showed better overall satisfaction and social aspects for the students who used TADV advising features.
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Suñé, Socias Víctor Manuel. "Failure distance based bounds of dependability measures." Doctoral thesis, Universitat Politècnica de Catalunya, 2000. http://hdl.handle.net/10803/6375.

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El tema d'aquesta tesi és el desenvolupament de mètodes de fitació per a una classe de models de confiabilitat basats en cadenes de Markov de temps continu (CMTC) de sistemes tolerants a fallades.

Els sistemes considerats a la tesi es conceptualitzen com formats per components (hardware o software) que fallen i, en el cas de sistemes reparables, són reparats. Els components s'agrupen en classes de forma que els components d'una mateixa classe són indistingibles. Per tant, un component és considerat com a una instància d'una classe de components i el sistema inclou un bag de classes de components definit sobre un cert domini. L'estat no fallada/fallada del sistema es determina a partir de l'estat no fallada/fallada dels components mitjançant una funció d'estructura coherent que s'especifica amb un arbre de fallades amb classes d'esdeveniments bàsics. (Una classe d'esdeveniment bàsic és la fallada d'un component d'una classe de components.)

La classe de models basats en CMTC considerada a la tesi és força àmplia i permet, per exemple, de modelar el fet que un component pot tenir diversos modes de fallada. També permet de modelar fallades de cobertura mitjançant la introducció de components ficticis que no fallen per ells mateixos i als quals es propaguen les fallades d'altres components. En el cas de sistemes reparables, la classe de models considerada admet polítiques de reparació complexes (per exemple, nombre limitat de reparadors, prioritats, inhibició de reparació) així com reparació en grup (reparació simultània de diversos components). Tanmateix, no és possible de modelar la reparació diferida (és a dir, el fet de diferir la reparació d'un component fins que una certa condició es compleixi).

A la tesi es consideren dues mesures de confiabilitat: la no fiabilitat en un instant de temps donat en el cas de sistemes no reparables i la no disponibilitat en règim estacionari en el cas sistemes reparables.

Els mètodes de fitació desenvolupats a la tesi es basen en el concepte de "distància a la fallada", que es defineix com el nombre mínim de components que han de fallar a més dels que ja han fallat per fer que el sistema falli.

A la tesi es desenvolupen quatre mètodes de fitació. El primer mètode dóna fites per a la no fiabilitat de sistemes no reparables emprant distàncies a la fallada exactes. Aquestes distàncies es calculen usant el conjunt de talls mínims de la funció d'estructura del sistema. El conjunt de talls mínims s'obté amb un algorisme desenvolupat a la tesi que obté els talls mínims per a arbres de fallades amb classes d'esdeveniments bàsics. El segon mètode dóna fites per a la no fiabilitat usant fites inferiors per a les distàncies a la fallada. Aquestes fites inferiors s'obtenen analitzant l'arbre de fallades del sistema, no requereixen de conèixer el conjunt de talls mínims i el seu càlcul és poc costós. El tercer mètode dóna fites per a la no disponibilitat en règim estacionari de sistemes reparables emprant distàncies a la fallada exactes. El quart mètode dóna fites per a la no disponibilitat en règim estacionari emprant les fites inferiors per a les distàncies a la fallada.

Finalment, s'il·lustren les prestacions de cada mètode usant diversos exemples. La conclusió és que cada un dels mètodes pot funcionar molt millor que altres mètodes prèviament existents i estendre de forma significativa la complexitat de sistemes tolerants a fallades per als quals és possible de calcular fites ajustades per a la no fiabilitat o la no disponibilitat en règim estacionari.
The subject of this dissertation is the development of bounding methods for a class of continuous-time Markov chain (CTMC) dependability models of fault-tolerant systems.

The systems considered in the dissertation are conceptualized as made up of components (hardware or software) that fail and, for repairable systems, are repaired. Components are grouped into classes, the components of the same class being indistinguishable. Thus, a component is regarded as an instance of some component class and the system includes a bag of component classes defined over a certain domain. The up/down state of the system is determined from the unfailed/failed state of the components through a coherent structure function specified by a fault tree with basic event classes. (A basic event class is the failure of a component of a component class.)

The class of CTMC models considered in the dissertation is quite wide and allows, for instance, to model the fact that a component may have different failure modes. It also allows to model coverage failures by means of introducing fictitious components that do not fail by themselves and to which uncovered failures of other components are propagated. In the case of repairable systems, the considered class of models supports very complex repair policies (e.g., limited repairpersons, priorities, repair preemption) as well as group repair (i.e., simultaneous repair of several components). However, deferred repair (i.e., the deferring of repair until some condition is met) is not allowed.

Two dependability measures are considered in the dissertation: the unreliability at a given time epoch for non-repairable systems and the steady-state unavailability for repairable systems.

The bounding methods developed in the dissertation are based on the concept of "failure distance from a state," which is defined as the minimum number of components that have to fail in addition to those already failed to take the system down.

We develop four bounding methods. The first method gives bounds for the unreliability of non-repairable fault-tolerant systems using (exact) failure distances. Those distances are computed using the set of minimal cuts of the structure function of the system. The set of minimal cuts is obtained using an algorithm developed in the dissertation that obtains the minimal cuts for fault trees with basic event classes. The second method gives bounds for the unreliability using easily computable lower bounds for failure distances. Those lower bounds are obtained analyzing the fault tree of the system and do not require the knowledge of the set of minimal cuts. The third method gives bounds for the steady-state unavailability using (exact) failure distances. The fourth method gives bounds for the steady-state unavailability using the lower bounds for failure distances.

Finally, the performance of each method is illustrated by means of several large examples. We conclude that the methods can outperform significantly previously existing methods and extend significantly the complexity of the fault-tolerant systems for which tight bounds for the unreliability or steady-state unavailability can be computed.
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Taşan, Murat. "Distance-based indexing observations, applications, and improvements /." online version, 2006. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=case1130976001.

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Östman, Martin. "Video Coding Based on the Kantorovich Distance." Thesis, Linköping University, Department of Electrical Engineering, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-2330.

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In this Master Thesis, a model of a video coding system that uses the transportation plan taken from the calculation of the Kantorovich distance is developed. The coder uses the transportation plan instead of the differential image and sends it through blocks of transformation, quantization and coding.

The Kantorovich distance is a rather unknown distance metric that is used in optimization theory but is also applicable on images. It can be defined as the cheapest way to transport the mass of one image into another and the cost is determined by the distance function chosen to measure distance between pixels. The transportation plan is a set of finitely many five-dimensional vectors that show exactly how the mass should be moved from the transmitting pixel to the receiving pixel in order to achieve the Kantorovich distance between the images. A vector in the transportation plan is called an arc.

The original transportation plan was transformed into a new set of four-dimensional vectors called the modified difference plan. This set replaces the transmitting pixel and the receiving pixel with the distance from the transmitting pixel of the last arc and the relative distance between the receiving pixel and the transmitting pixel. The arcs where the receiving pixels are the same as the transmitting pixels are redundant and were removed. The coder completed an eleven frame sequence of size 128x128 pixels in eight to ten hours.

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Kim, Byungki. "Miniaturized Diffraction Based Interferometric Distance Measurement Sensor." Diss., Georgia Institute of Technology, 2004. http://hdl.handle.net/1853/5044.

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In this thesis, new metrology hardware is designed, fabricated, and tested to provide improvements over current MEMS metrology. The metrology system is a micromachined scanning interferometer having a sub-nm resolution in a compact design. The proposed microinterferometer forms a phase sensitive diffraction grating with interferometric sensitivity, while adding the capability of better lateral resolution by focusing the laser to a smaller spot size. A detailed diffraction model of the microinterferometer was developed to simulate the device performance and to suggest the location of photo detectors for integrated optoelectronics. A particular device is fabricated on a fused silica substrate using aluminum to form the deformable diffraction grating fingers and AZ P4620 photo resist (PR) for the microlens. The details of the fabrication processes are presented. The structure also enables optoelectronics to be integrated so that the interferometer with photo detectors can fit in an area that is 1mm x 1mm. The scanning results using a fixed grating micromachined scanning interferometer demonstrated that it could measure vibration profile as well as static vertical(less than a half wave length) and lateral dimension of MEMS. The SI, which is integrated with photo diodes, demonstrated its operation by scanning a cMUT. The PID control has been tested and resulted in improvement in scanned images. The integrated micromachined scanning interferometer demonstrated that the deformable grating could be used to tune the measurement keep the interferometer in quadrature for highest sensitivity.
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Lu, Jingjing. "Fast algorithms for distance-based spatial queries." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/MQ62968.pdf.

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Books on the topic "Distance based"

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Brown, Bettina Lankard. Distance education and web-based training. ERIC Clearinghouse on Adult, Career, and Vocational Education, Center on Education and Training for Employment, College of Education, the Ohio State University, 1998.

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Henrik, Bohr, and Brunak Søren, eds. Protein folds: A distance-based approach. CRC Press, 1996.

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Ward, Watkins Brenda, ed. Fluency in distance learning. Information Age Pub., 2010.

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Lu, Jingjing. Fast algorithms for distance-based spatial queries. National Library of Canada, 2001.

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1951-, Owens Diana L., ed. Multimedia-based instructional design: Computer-based training, Web-based training, distance broadcast training. Jossey-Bass/Pfeiffer, 2000.

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Roger, Glanville, and Thames Valley University, eds. Skills-based workshops. Pitman, 1995.

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Clarke, Dave. Skills-based workshops. Pitman, 1995.

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1943-, O'Neil Harold F., ed. What works in distance learning: Sample lessons based on guidelines. IAP, 2008.

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Fenton, Celeste. Fluency in distance learning. Information Age Pub., 2010.

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1951-, Owens Diana L., ed. Multimedia-based instructional design: Computer-based training, web-based training, distance broadcast training, performance-based solutions. 2nd ed. Jossey-Bass, 2004.

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Book chapters on the topic "Distance based"

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Dendek, Cezary, and Jacek Mańdziuk. "Probability-Based Distance Function for Distance-Based Classifiers." In Artificial Neural Networks – ICANN 2009. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04274-4_15.

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Estruch, V., C. Ferri, J. Hernández-Orallo, and M. J. Ramírez-Quintana. "Distance Based Generalisation." In Inductive Logic Programming. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11536314_6.

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Singh, Gautam B. "Distance Based Methods." In Fundamentals of Bioinformatics and Computational Biology. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-11403-3_14.

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Savoy, Jacques. "Distance-Based Approaches." In Machine Learning Methods for Stylometry. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-53360-1_3.

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Fieguth, Paul. "Distance-Based Classification." In An Introduction to Pattern Recognition and Machine Learning. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-95995-1_6.

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Marron, J. S., and Ian L. Dryden. "Distance Based Methods." In Object Oriented Data Analysis. Chapman and Hall/CRC, 2021. http://dx.doi.org/10.1201/9781351189675-7.

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Bork, Alfred, and Sigrun Gunnarsdottir. "Structures for technology based learning." In Tutorial Distance Learning. Springer Netherlands, 2001. http://dx.doi.org/10.1007/978-94-010-0636-1_10.

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Tubbs, J. D. "Distance Based Binary Matching." In Computing Science and Statistics. Springer New York, 1992. http://dx.doi.org/10.1007/978-1-4612-2856-1_97.

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Oesch, Christian. "Distance-Based Tournament Selection." In Applications of Evolutionary Computation. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-55849-3_45.

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Kirsten, Mathias, and Stefan Wrobel. "Relational distance-based clustering." In Inductive Logic Programming. Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/bfb0027330.

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Conference papers on the topic "Distance based"

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Muhammad Fuad, Muhammad Marwan, and Pierre-Francois Marteau. "The extended edit distance metric." In 2008 International Workshop on Content-Based Multimedia Indexing. IEEE, 2008. http://dx.doi.org/10.1109/cbmi.2008.4564953.

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Dodon, Mihaela, Ionut Gheorghitanu, Codrin Donciu, and Marinel Temneanu. "Distance Measurement Method Based on Average Interpupillary Distance." In 2021 International Conference on Electromechanical and Energy Systems (SIELMEN). IEEE, 2021. http://dx.doi.org/10.1109/sielmen53755.2021.9600308.

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Rahman, Khandaker Abir, Md Shafaeat Hossain, Md Al-Amin Bhuiyan, Tao Zhang, Md Hasanuzzaman, and H. Ueno. "Person to Camera Distance Measurement Based on Eye-Distance." In 2009 Third International Conference on Multimedia and Ubiquitous Engineering (MUE). IEEE, 2009. http://dx.doi.org/10.1109/mue.2009.34.

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Tao, Yufei, Ling Ding, Xuemin Lin, and Jian Pei. "Distance-Based Representative Skyline." In 2009 IEEE 25th International Conference on Data Engineering (ICDE). IEEE, 2009. http://dx.doi.org/10.1109/icde.2009.84.

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Zhi-Zheng Zhang and Han-Cheng Xing. "Distance based preference relations." In Proceedings of 2005 International Conference on Machine Learning and Cybernetics. IEEE, 2005. http://dx.doi.org/10.1109/icmlc.2005.1527299.

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Araújo, Graziela S., Guilherme P. Telles, Maria Emília M. T. Walter, and Nalvo F. Almeida. "Distance-based Live Phylogeny." In 8th International Conference on Bioinformatics Models, Methods and Algorithms. SCITEPRESS - Science and Technology Publications, 2017. http://dx.doi.org/10.5220/0006224501960201.

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Patterson, Katharine, Kevin Wilson, Scott Wisdom, and John R. Hershey. "Distance-Based Sound Separation." In Interspeech 2022. ISCA, 2022. http://dx.doi.org/10.21437/interspeech.2022-11100.

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Yakaboski, Chase, and Eugene Santos. "Bayesian Knowledge Base Distance-Based Tuning." In 2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI). IEEE, 2018. http://dx.doi.org/10.1109/wi.2018.0-106.

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Hu, Bo. "Approximate graph distance with imagisation." In iiWAS '16: 18th International Conference on Information Integration and Web-based Applications and Services. ACM, 2016. http://dx.doi.org/10.1145/3011141.3011163.

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Shih, Huang-Chia, and Hao-You Wang. "Vehicle identification using distance-based appearance model." In 2015 12th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS). IEEE, 2015. http://dx.doi.org/10.1109/avss.2015.7301728.

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Reports on the topic "Distance based"

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Lee, Jung-Eun, Rong Jin, and Anil K. Jain. Ranked-Based Distance Metric Learning: An Application to Image Retrieval. Defense Technical Information Center, 2008. http://dx.doi.org/10.21236/ada500953.

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Caers, Jef, Kwangwon PARK, and Celine SCHEIDT. Distance-Based Sampling of Posterior Distributions in Spatial Inverse Problems. Cogeo@oeaw-giscience, 2011. http://dx.doi.org/10.5242/iamg.2011.0099.

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Green, Andre. LUNA Condition Based Monitoring Update: Mahalanobis distance for Individual Damage Types [Slides]. Office of Scientific and Technical Information (OSTI), 2021. http://dx.doi.org/10.2172/1807804.

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Panda, Santosh. Status of Distance Learning in India. Commonwealth of Learning (COL), 2022. http://dx.doi.org/10.56059/11599/4479.

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Lai, Ming-Jun, and Dawn Robinson. Survey of Quantification and Distance Functions Used for Internet-based Weak-link Sociological Phenomena. Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ada586615.

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Green, Andre. LUNA Condition-Based Monitoring Update: Mahalanobis Distance for Excess Load and External Leak Cases. Office of Scientific and Technical Information (OSTI), 2021. http://dx.doi.org/10.2172/1783510.

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Yoon, Byung. Narrowing the Cognitive Distance Between Engineers and Customers: A Novel Approach, Based on Fuzzy Cognitive Mapping. Portland State University Library, 2020. http://dx.doi.org/10.15760/etd.7285.

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McDermott, Thomas, Neil Shepard, Sakis Meliopoulos, Meghana Ramesh, Jeffrey Doty, and Jaime Kolln. Protection of Distribution Circuits with High Penetration of Solar PV: Distance, Learning, and Estimation-Based Methods. Office of Scientific and Technical Information (OSTI), 2021. http://dx.doi.org/10.2172/1834373.

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Tetzlaff, Sasha, Jinelle Sperry, and Brett DeGregorio. You can go your own way : no evidence for social behavior based on kinship or familiarity in captive juvenile box turtles. Engineer Research and Development Center (U.S.), 2022. http://dx.doi.org/10.21079/11681/44923.

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Abstract:
Behavioral interactions between conspecific animals can be influenced by relatedness and familiarity. To test how kinship and familiarity influenced social behavior in juvenile Eastern Box Turtles (Terrapene carolina), 16 captive-born individuals were reared under semi-natural conditions in four equally sized groups, where each group comprised pairs of siblings and non-siblings. Using separation distance between pairs of turtles in rearing enclosures as a measure of gregariousness, we found no evidence suggesting siblings more frequently interacted with one another compared to non-relatives over the first five months of life. Average pair separation distance decreased during this time but may have been due to turtles aggregating around resources like heat and moist retreat areas as colder temperatures approached. At eight months old, we again measured repeated separation distances between unique pair combinations and similarly found no support for associations being influenced by kinship. Agonistic interactions between individuals were never observed. Based on our results, group housing and rearing of juvenile box turtles did not appear to negatively impact their welfare. Unlike findings for other taxa, our results suggest strategically housing groups of juvenile T. carolina to maintain social stability may not be an important husbandry consideration when planning releases of captive-reared individuals for conservation purposes.
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Korotun, Olha V., Tetiana A. Vakaliuk, and Vladimir N. Soloviev. Model of using cloud-based environment in training databases of future IT specialists. [б. в.], 2020. http://dx.doi.org/10.31812/123456789/3865.

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Abstract:
The authors substantiates and develops the model of using cloud-based environment (CBE) in the training of databases of future information technology (IT) specialists, which consists of interrelated units: target (purpose, task of using CBE), conceptual (pedagogical approaches, didactic principles), organizational and semantic (characteristics of CBE, basic requirements for CBE, subjects of training, CBE of the teacher, CBE of the student, curricula of institution of higher education, educational-methodical complex of discipline “Databases”, installation and configuration of database management system, development of educational material from the database in electronic form, selection of cloud-based systems of distance learning, introduction of cloud-based systems of distance learning in the training of students’ databases, selection of CBE in database training (databases, forms, methods, tools), evaluative (criteria, indicators, levels of professional and practical competence of future IT specialists on the use of CBE in database training), effective (increased formation of the information and communication technologies of future IT specialists on the use of CBE in database training).
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