Academic literature on the topic 'Individual recognition'

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Journal articles on the topic "Individual recognition"

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Yacoob, Sahal. "Individual recognition." Physics World 28, no. 10 (October 2015): 15. http://dx.doi.org/10.1088/2058-7058/28/10/26.

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Matsunaga, K., and K. Tanaka. "Individual Recognition via Brainprint." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2004 (2004): 93–94. http://dx.doi.org/10.1299/jsmermd.2004.93_4.

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Richler, Jennifer J., Andrew J. Tomarken, Mackenzie A. Sunday, Timothy J. Vickery, Kaitlin F. Ryan, R. Jackie Floyd, David Sheinberg, Alan C. N. Wong, and Isabel Gauthier. "Individual differences in object recognition." Psychological Review 126, no. 2 (March 2019): 226–51. http://dx.doi.org/10.1037/rev0000129.

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D'Ettorre, Patrizia, and Jürgen Heinze. "Individual Recognition in Ant Queens." Current Biology 15, no. 23 (December 2005): 2170–74. http://dx.doi.org/10.1016/j.cub.2005.10.067.

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Watanabe, Shigeru, and Youko Mori. "Individual recognition learning in mice." Journal of Ethology 8, no. 1 (June 1990): 29–32. http://dx.doi.org/10.1007/bf02350127.

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Van Ballegooij, Wouter, and Petra Bárd. "Mutual Recognition and Individual Rights." New Journal of European Criminal Law 7, no. 4 (December 2016): 439–64. http://dx.doi.org/10.1177/203228441600700405.

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This article focuses on the case-law of the Court of Justice and the dialogue it conducted with national apex courts when seeking to reconcile the ‘free movement of judicial decisions’, as facilitated by mutual recognition, and individual rights in its interpretation of the Framework Decision on the European Arrest Warrant. The present analysis shall concentrate on the recent judgment in Aranyosi and Căldăraru. The article concludes that for the sake of legal certainty, more guidance should be provided under EU legislation to make sure that judicial cooperation does not lead to disproportionate intrusions on individual rights or even violations of absolute rights. This should be accompanied by a permanent mechanism for monitoring and addressing Member State compliance with democracy, the rule of law and fundamental rights. Ultimately, however, the courts will have to play a crucial role in carving out and applying fundamental rights exceptions. In providing guidance to national courts, the Court of Justice needs to further clarify that the application of mutual recognition and fundamental rights exceptions are not in conflict and show proper deference to the norms developed by the European Court of Human Rights and national (constitutional) courts.
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Dhondt, AndréA, and Marcel M. Lambrechts. "Individual voice recognition in birds." Trends in Ecology & Evolution 7, no. 6 (June 1992): 178–79. http://dx.doi.org/10.1016/0169-5347(92)90068-m.

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Engelberg, Jonathan W. M., Jay W. Schwartz, and Harold Gouzoules. "Do human screams permit individual recognition?" PeerJ 7 (June 24, 2019): e7087. http://dx.doi.org/10.7717/peerj.7087.

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The recognition of individuals through vocalizations is a highly adaptive ability in the social behavior of many species, including humans. However, the extent to which nonlinguistic vocalizations such as screams permit individual recognition in humans remains unclear. Using a same-different vocalizer discrimination task, we investigated participants’ ability to correctly identify whether pairs of screams were produced by the same person or two different people, a critical prerequisite to individual recognition. Despite prior theory-based contentions that screams are not acoustically well-suited to conveying identity cues, listeners discriminated individuals at above-chance levels by their screams, including both acoustically modified and unmodified exemplars. We found that vocalizer gender explained some variation in participants’ discrimination abilities and response times, but participant attributes (gender, experience, empathy) did not. Our findings are consistent with abundant evidence from nonhuman primates, suggesting that both human and nonhuman screams convey cues to caller identity, thus supporting the thesis of evolutionary continuity in at least some aspects of scream function across primate species.
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Min, Huasong, Ziming Chen, Bin Fang, Ziwei Xia, Yixu Song, Zongtao Wang, Quan Zhou, Fuchun Sun, and Chunfang Liu. "Cross-Individual Gesture Recognition Based on Long Short-Term Memory Networks." Scientific Programming 2021 (July 6, 2021): 1–11. http://dx.doi.org/10.1155/2021/6680417.

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Gestures recognition based on surface electromyography (sEMG) has been widely used for human-computer interaction. However, there are few research studies on overcoming the influence of physiological factors among different individuals. In this paper, a cross-individual gesture recognition method based on long short-term memory (LSTM) networks is proposed, named cross-individual LSTM (CI-LSTM). CI-LSTM has a dual-network structure, including a gesture recognition module and an individual recognition module. By designing the loss function, the individual information recognition module assists the gesture recognition module to train, which tends to orthogonalize the gesture features and individual features to minimize the impact of individual information differences on gesture recognition. Through cross-individual gesture recognition experiments, it is verified that compared with other selected algorithm models, the recognition accuracy obtained by using the CI-LSTM model can be improved by an average of 9.15%. Compared with other models, CI-LSTM can overcome the influence of individual characteristics and complete the task of cross-individual hand gestures recognition. Based on the proposed model, online control of the prosthetic hand is realized.
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Jacot, Alain, Hendrik Reers, and Wolfgang Forstmeier. "Individual recognition and potential recognition errors in parent–offspring communication." Behavioral Ecology and Sociobiology 64, no. 10 (April 30, 2010): 1515–25. http://dx.doi.org/10.1007/s00265-010-0965-5.

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Dissertations / Theses on the topic "Individual recognition"

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Chiroro, Patrick. "Individual differences in recognition memory for faces." Thesis, Durham University, 1994. http://etheses.dur.ac.uk/1217/.

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Contemporary research on human memory has tended to disregard individual differences (Eysenck, 1977, 1983; Sternberg & French, 1990). However, there seems to be no empirical justification for this practice, especially in experimental situations where the stimuli that are used are 'socially relevant'. Human faces constitute one such category. Although there is strong evidence which suggests that people differ substantially in their ability to recognise faces in laboratory experiments (Baddeley & Woodhead, 1983) and in everyday situations (Schweich, van der Linden, Bredart, Bruyer, Neils & Schills, 1991), the sources of these differences are not clearly understood at present. In this thesis, individual differences in recognition memory for faces were examined using standard laboratory experimental techniques. Part I of this thesis consists of four chapters. Chapter One provides a general introduction to face recognition research. In Chapter Two, past research on individual differences in face recognition is described and evaluated. In Chapter Three. the theoretical implications of research on the effects of orientation, race of face and face distinctiveness are discussed. Experimental and statistical techniques that are used in the present thesis are summarised in Chapter Four. In Part II, three experiments which investigated the effect of individual differences in spatial ability on recognition of pictures, faces and words are reported. Among other things, these experiments showed that while individual differences in spatial ability did not significantly affect subjects' recognition of high-imagery words, high spatial ability subjects recognised faces and pictures more accurately and more quickly than did low spatial ability subjects. The theoretical implications of these results are discussed. Part III consists of an experiment in which differences in recognition of male and female faces by adolescent male and female subjects aged 11 years, 12 years and 13 years were investigated across two delay conditions. This experiment provided partial support for a developmental dip in recognition of faces among 12-year olds and also showed an own-sex bias in face recognition among female subjects. Theoretical accounts for these effects are proposed. In Part IV, a cross-cultural study in which black-African and white-British subjects who had different degrees of previous contact with faces of the opposite race were tested for their recognition of distinctive and typical own-race and other-race faces is reported. This experiment provided evidence which supported the differential-experience hypothesis of the own-race bias in face recognition among the African subjects and also suggested that the effect of face distinctiveness in recognition of faces might be a product of learning the defining characteristics of a given population of faces. In Part V, three experiments which explored differences between good and poor face recognisers are reported and discussed. These experiments raised some important methodological issues regarding the generalisability of the notion of 'face recognition ability' in situations where the faces to be recognised are shown in different views, in different facial expressions and in different orientations between study and test. These experiments also showed that subjects who were good in their recognition of faces following a change in view were significantly more accurate in their recognition of upsidedown faces than were subjects who had initially shown poor recognition of faces in different views. However. there were no significant differences between these two groups of subjects in their ability to recognise faces that were shown in different facial expressions between study and test. It is argued that these results suggest that recognition of faces following a change in facial expression may involve the creation and use of expression-independent representations of the face while recognition of faces following a change in view or orientation may both involve the creation and use of view-independent representations of faces. General conclusions and suggestions for future experimental work are outlined in Part
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Zubko, Olga. "The source of individual differences in face recognition." Thesis, University of Kent, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.590070.

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For most of us, recognising a face is effortless and instantaneous, yet there are striking differences between individuals' ability to do so. Although several models of face recognition have been proposed (see Ellis & Young, 1990; Bruce & Young, 1986), no systematic investigation of how individual differences might arise at each stage of face processing exists. To this end, the current thesis sought to identify the sources of individual variability in face processing. Seven stages of face processing consisting of the ability to: (i) disregard incidental properties, (ii) code 1 st order relations, (iii) code 2nd order relations as well as (iv) retain information in short-term memory, (v) retrieve semantic information (vi) filter out visual distracters and (vii) engage in a task were examined. Using an old/new paradigm, participants were first categorized into 'good' or 'poor' face recognizers. Then their performance under each of the experimental conditions, designed to probe the seven key stages of face recognition, was assessed. Individual differences emerged at four of the seven stages investigated: First, 'good' recognizers were more sensitive to targets than poor performers when 40 faces (high load) had to be remembered, suggesting that they were able to maintain more faces in memory. Next, good performers were more sensitive to target faces during both upright and inverted conditions suggesting that they shifted more flexibly between local and global processing strategies. Differences in face recognition were also predicted by the ability to filter out visual distracters. That is, good performers became less sensitive to target faces when the number of distracter faces increased from 1 to 5, whilst poor performers did not. This ability also distinguished between face recognition of congenital prosopagnosics and individuals without reported face processing difficulties. The fourth key finding from this thesis is that individual differences in face processing can be partly accounted by volitional factors associated with motivation and task engagement. In sum, this thesis identifies factors which can explain why 'some individuals never forget a face' whilst others do, and establishes conditions under which these differences are eliminated. The following chapters discuss these findings with reference to current theories of face recognition. Wider implications including the development of new strategies with which to enhance face recognition performance are also discussed.
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Elenius, Daniel. "Accounting for Individual Speaker Properties in Automatic Speech Recognition." Licentiate thesis, KTH, Speech Communication and Technology, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-12258.

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In this work, speaker characteristic modeling has been applied in the fields of automatic speech recognition (ASR) and automatic speaker verification (ASV). In ASR, a key problem is that acoustic mismatch between training and test conditions degrade classification per- formance. In this work, a child exemplifies a speaker not represented in training data and methods to reduce the spectral mismatch are devised and evaluated. To reduce the acoustic mismatch, predictive modeling based on spectral speech transformation is applied. Follow- ing this approach, a model suitable for a target speaker, not well represented in the training data, is estimated and synthesized by applying vocal tract predictive modeling (VTPM). In this thesis, the traditional static modeling on the utterance level is extended to dynamic modeling. This is accomplished by operating also on sub-utterance units, such as phonemes, phone-realizations, sub-phone realizations and sound frames.

Initial experiments shows that adaptation of an acoustic model trained on adult speech significantly reduced the word error rate of ASR for children, but not to the level of a model trained on children’s speech. Multi-speaker-group training provided an acoustic model that performed recognition for both adults and children within the same model at almost the same accuracy as speaker-group dedicated models, with no added model complexity. In the analysis of the cause of errors, body height of the child was shown to be correlated to word error rate.

A further result is that the computationally demanding iterative recognition process in standard VTLN can be replaced by synthetically extending the vocal tract length distribution in the training data. A multi-warp model is trained on the extended data and recognition is performed in a single pass. The accuracy is similar to that of the standard technique.

A concluding experiment in ASR shows that the word error rate can be reduced by ex- tending a static vocal tract length compensation parameter into a temporal parameter track. A key component to reach this improvement was provided by a novel joint two-level opti- mization process. In the process, the track was determined as a composition of a static and a dynamic component, which were simultaneously optimized on the utterance and sub- utterance level respectively. This had the principal advantage of limiting the modulation am- plitude of the track to what is realistic for an individual speaker. The recognition error rate was reduced by 10% relative compared with that of a standard utterance-specific estimation technique.

The techniques devised and evaluated can also be applied to other speaker characteristic properties, which exhibit a dynamic nature.

An excursion into ASV led to the proposal of a statistical speaker population model. The model represents an alternative approach for determining the reject/accept threshold in an ASV system instead of the commonly used direct estimation on a set of client and impos- tor utterances. This is especially valuable in applications where a low false reject or false ac- cept rate is required. In these cases, the number of errors is often too few to estimate a reli- able threshold using the direct method. The results are encouraging but need to be verified on a larger database.


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Abraham, Ashley N. Dr. "Individual differences in lexical context effects during word recognition." Kent State University / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=kent1605262896060915.

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Bradshaw, Richard H. "Agonistic behaviour and individual recognition in groups of laying hens." Thesis, University of Oxford, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.276581.

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Hughes, Benjamin. "Automated detection and shape based recognition of individual great white sharks." Thesis, University of Bristol, 2016. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.701973.

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Systems that classify images by the individual animals they contain have widespread applicability in field-based ecology and conservation research, allowing individuals to be recognised repeatedly in a non-invasive way. The aim of this thesis is the design of such systems for animal species where individuals exhibit visually unique body morphologies, with the specific objective that individuals are recognised fully automatically. A two-stage approach is adopted to achieve this objective, as illustrated for the task of recognising individual great white sharks. First, a model is trained for automatic object part detection that combines a partitioning of ultrametric contour maps with shape descriptions and dense local features. This provides robust part detection but fine-grained segmentation accuracy is sacrificed in favour of computational efficiency. As such the approach is complemented by affinity matting for local edge refinement. The combination of part detection and affinity matting achieves robust, efficient and pixel accurate biometric contour detection. Second, a generative model combines evidence provided by densely sampled, multiscale local shape descriptions for biometric contour classification. The approach provides a discriminative representation of individuality while demonstrating robustness to sources of intra-individual variability introduced by partial occlusions and automatic shape detection errors. As an additional contribution, the distribution of individuality in dimensions of smoothing-filter scale, spatial location and descriptor complexity is quantified. Insights are provided to guide processes of image acquisition, shape representation, and efficient shape extraction. Finally, the generality of the contour representation is presented alongside a novel framework for discriminative cue combination in an application to individual humpback whale recognition. A detailed evaluation of the major system components is provided with results demonstrating fully automatic individual classification performance at accuracy and efficiency levels ready to assist human identification efforts.
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Talbot, Catherine F. "Performance on a Face Discrimination Task by Orangutans Reflects a Possible Interaction between Familiarity and Novelty." Digital Archive @ GSU, 2012. http://digitalarchive.gsu.edu/psych_theses/92.

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Faces provide humans with information on the age, sex, individual identity, and emotional state of others. Although comparatively less is known about nonhuman primates’ face processing abilities, several gregarious group living species are able to discriminate conspecific faces. Here, we tested a less gregarious species, orangutans, to determine if they exhibit similar skills. Using a matching-to-sample paradigm, orangutans matched two identical portraits of unfamiliar orangutans. Next, subjects matched two different photographs of the same individual across viewpoints. During testing, subjects successfully transferred to novel photographs of familiar, but not unfamiliar, individuals with their first exposure to these stimuli. However, performance was not maintained throughout continued exposure to these stimuli, suggesting a possible novelty effect. Interestingly, orangutans performed significantly above chance when individuating familiar males, but not females. Further examination is needed to understand social organization and other social factors which were important in the evolution of face-processing.
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Dalrymple-Alford, Joseph. "Does vocabulary knowledge influence speech recognition in adverse listening conditions?" Thesis, University of Canterbury. Communication Disorders, 2014. http://hdl.handle.net/10092/9334.

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Purpose: To investigate the effects of vocabulary, working memory, age, semantic context, and signal-to-noise-ratio (SNR) on speech recognition in adverse conditions (multitalker babble) in normal-hearing listeners aged 18-35. First, a general hypothesis was tested that listeners with larger receptive vocabularies would be more accurate at recognising speech in noise than listeners with more limited receptive vocabularies, even when target stimuli are words with high lexical frequency. A second more specific hypothesis was that the vocabulary would be predictive of speech recognition accuracy when the signal was moderately degraded, but not mildly or severely degraded. Method: 80 sentences with a high (HP) or low (LP) degree of semantic predictability (40 HP and 40 LP) were recorded from a male speaker of NZ English. These sentences were used as experimental target stimuli, and presented in multitalker babble at four SNRs: -8, -4, 0 and 4 dB SNR. Thirty-five participants (11 males and 24 females, aged 18 to 35), with puretone hearing thresholds of 15 dB HL or better, completed the Peabody Picture Vocabulary Test (PPVT) and the Wechsler Adult Intelligence Scale (WAIS) vocabulary subtest, the WAIS working memory subtests, and the experimental listening task in which they were required to repeat back the target sentences. Results: There was considerable variability between listeners in speech recognition performance, in terms of percent words accurately recognised overall (M = 45.8%; SD = 7.4) and for both HP (M = 54.4%; SD = 9.8) and LP (M = 35%; SD = 8.9) conditions. Hierarchical multiple regression analyses revealed that receptive (PPVT) and productive (WAIS) vocabulary knowledge, but not working memory, contributed 8 significant variance to listeners’ speech recognition scores overall and in both the HP and LP conditions. Further regression analyses at individual SNR levels showed that receptive vocabulary contributed significant variance to listening recognition scores in all predictability and SNR conditions except the most favourable (HP stimuli at 4 dB SNR) and least favourable (LP stimuli at -8 dB SNR) listening conditions. Working memory and age were not significantly related to overall listening score, HP listening score, or LP listening score, but age did contribute significant variance in the - 4dB SNR LP condition. Conclusion: The results provide further evidence that greater vocabulary knowledge is associated with improved speech recognition in adverse conditions. This effect was salient in mid-range adverse listening conditions, but was not apparent in highly favourable and extremely poor listening conditions. The results were interpreted to suggest that in moderately adverse listening conditions listeners with larger lexicons may be better able to exploit redundancies and/or intelligible ‘glimpses’ in the speech signal.
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Dempsey, Katherine. "Monitoring individual cells within cell cultures using image processing and pattern recognition techniques." Thesis, Keele University, 2017. http://eprints.keele.ac.uk/4179/.

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Cells are the building blocks of the human body which are normally specialised by type in accordance with their function. Human cells interact with each other to form the tissues that make up the body. Consequently, it is important to study the behaviour and interactions of these cells at the microscale level, so that the causes of cellular irregularities can be identified; and, possible treatments can be devised. This project aimed to create algorithms that were capable of tracking a variety of cells types within both single cultures and mixed cultures, and from this generate data that was relevant to current clinical trials. There have been successes in tracking some cells types, most notably articular chondrocytes and spinal disk cells. In terms of data generated there has been successes in a whole variety of different types of clinical trials. The algorithms used here have been able to identify the point of mitosis. They have created a better method of determining neural growth and from this have shown that neurons co-cultured with MCSs can grow in places with neural inhibitors. Through the use of algorithms that can analyse culture in three dimensional structures it has been shown that neurons are more affected by topographical cues than chemical cues in their direction of growth. It has also been shown that vesicles are more likely to appear on smaller back disk cells. In the study of gels, it has been found that the more transparent gels are better for imaging. Finally, it has been shown that MSCs and chondrocytes behave differently when in single and co-cultures. These discoveries would not have been possible without the use of the algorithms that allowed for the study of individual cells within a larger culture.
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Pitcher, Benjamin James. "Individual recognition systems and multimodal signalling in the Australian sea lion, Neophoca cinerea." Paris 11, 2010. http://www.theses.fr/2010PA11T056.

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Books on the topic "Individual recognition"

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To beat or not to beat?: Individual recognition and social memory in golden hamsters. Saarbrücken: LAP LAMBERT Academic Publishing, 2009.

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National Recognition Program for Urban Development Excellence, 1973-1988: Application recognizing individual projects and application recognizing overall impact. Washington, D.C: U.S. Dept. of Housing and Urban Development, Office of Community Planning and Development, 1988.

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Prophets of recognition: Ideology and the individual in novels by Ralph Ellison, Toni Morrison, Saul Bellow, and Eudora Welty. Baton Rouge: Louisiana State University Press, 1999.

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Ballegooij, Wouter van. The nature of mutual recognition in European Law: Re-examining the notion from an individual rights perspective with a view to its further development in the criminal justice area. Cambridge, United Kingdom: Intersentia Ltd, 2015.

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Matthews, Eve. On the basis of visual clues, is the recognition of the differences between individuals possible for autistic adults? Birmingham: University of Birmingham, 1994.

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Diamond, Stephanie. Dragon Professional Individual. Wiley & Sons, Incorporated, John, 2017.

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Diamond, Stephanie. Dragon Professional Individual for Dummies. Wiley & Sons, Incorporated, John, 2017.

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Diamond, Stephanie. Dragon Professional Individual For Dummies. For Dummies, 2016.

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Diamond, Stephanie. Dragon Professional Individual for Dummies. Wiley & Sons, Incorporated, John, 2017.

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Carver, Clifford, and David Moseley. A Group or Individual Diagnostic Test of Word Recognition and Phonic Skills (Wraps) (Word Recognition & Phonic Skills). Hodder Arnold H&S, 1994.

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Book chapters on the topic "Individual recognition"

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Cely, Christian C., and Elizabeth A. Tibbetts. "Individual Recognition." In Encyclopedia of Animal Cognition and Behavior, 1–13. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-47829-6_1034-1.

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Cely, Christian C., and Elizabeth A. Tibbetts. "Individual Recognition." In Encyclopedia of Animal Cognition and Behavior, 3401–14. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-319-55065-7_1034.

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Yu, Zhiwen, and Zhu Wang. "Individual Behavior Recognition." In Human Behavior Analysis: Sensing and Understanding, 37–137. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-2109-6_5.

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Vetter, Kristina Mead, and Roy L. Caldwell. "Individual Recognition in Stomatopods." In Social Recognition in Invertebrates, 17–36. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-17599-7_2.

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Lee, Chi-Chun (Jeremy). "Individual Utterance Emotion Recognition." In Modeling Human Behaviors in Psychology Using Engineering Methods, 19–35. New York: River Publishers, 2022. http://dx.doi.org/10.1201/9781003338857-5.

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Todrank, Josephine, Giora Heth, and Robert E. Johnston. "Kin and Individual Recognition." In Advances in Chemical Signals in Vertebrates, 289–97. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-4733-4_24.

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Choraś, Michał, and Piotr Mroczkowski. "Recognizing Individual Typing Patterns." In Pattern Recognition and Image Analysis, 323–30. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-72849-8_41.

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He, Qi, Qijun Zhao, Ning Liu, Peng Chen, Zhihe Zhang, and Rong Hou. "Distinguishing Individual Red Pandas from Their Faces." In Pattern Recognition and Computer Vision, 714–24. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-31723-2_61.

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Dan, Sanket, Kaushik Mukherjee, Subhojit Roy, Satyendra Nath Mandal, Dilip Kumar Hajra, and Santanu Banik. "Individual Pig Recognition Based on Ear Images." In Advances in Intelligent Systems and Computing, 587–99. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-7834-2_55.

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Dahmane, Mohamed, and Jean Meunier. "Individual Feature–Appearance for Facial Action Recognition." In Lecture Notes in Computer Science, 233–42. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21596-4_24.

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Conference papers on the topic "Individual recognition"

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Park, Sun Young, and Yunan Chen. "Individual and Social Recognition." In CSCW '15: Computer Supported Cooperative Work and Social Computing. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2675133.2675248.

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Zhu, Depeng, Ranran Wei, Weida Zhan, and Ziqiang Hao. "Individual Soldier Gesture Intelligent Recognition System." In 2019 IEEE International Conference on Power, Intelligent Computing and Systems (ICPICS). IEEE, 2019. http://dx.doi.org/10.1109/icpics47731.2019.8942515.

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Galli, Alessandra, Giada Giorgi, and Claudio Narduzzi. "Individual Recognition by Gaussian ECG Features." In 2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC). IEEE, 2020. http://dx.doi.org/10.1109/i2mtc43012.2020.9129092.

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Ali, Sarah O., Raid R. O. Al-Nima, and Emad A. Mohammed. "Individual Recognition with Deep Earprint Learning." In 2021 International Conference on Communication & Information Technology (ICICT). IEEE, 2021. http://dx.doi.org/10.1109/icict52195.2021.9568410.

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Zhang, Yuan-Yuan, Shu-Ming Jiang, Zhi-Qiang Wei, Jian-Feng Zhang, and Shi-Jie Xu. "Individual recognition by gait in virtual space." In 2012 International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR). IEEE, 2012. http://dx.doi.org/10.1109/icwapr.2012.6294773.

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Shen, Qiang, Haotian Feng, Rui Song, Stefano Teso, Fausto Giunchiglia, and Hao Xu. "Federated Multi-Task Attention for Cross-Individual Human Activity Recognition." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. California: International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/475.

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Federated Learning (FL) is an emerging privacy-aware machine learning technique that applies successfully to the collaborative learning of global models for Human Activity Recognition (HAR). As of now, the applications of FL for HAR assume that the data associated with diverse individuals follow the same distribution. However, this assumption is impractical in real-world scenarios where the same activity is frequently performed differently by different individuals. To tackle this issue, we propose FedMAT, a Federated Multi-task ATtention framework for HAR, which extracts and fuses shared as well as individual-specific multi-modal sensor data features. Specifically, we treat the HAR problem associated with each individual as a different task and train a federated multi-task model, composed of a shared feature representation network in a central server plus multiple individual-specific networks with attention modules stored in decentralized nodes. In this architecture, the attention module operates as a mask that allows to learn individual-specific features from the global model, whilst simultaneously allowing for features to be shared among different individuals. We conduct extensive experiments based on publicly available HAR datasets, which are collected in both controlled environments and real-world scenarios. Numeric results verify that our proposed FedMAT significantly outperforms baselines not only in generalizing to existing individuals but also in adapting to new individuals.
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Sagonas, Christos, Yannis Panagakis, Alina Leidinger, and Stefanos Zafeiriou. "Robust Joint and Individual Variance Explained." In 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2017. http://dx.doi.org/10.1109/cvpr.2017.608.

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Tilneac, Mihaela, and Valer Dolga. "Individual plant recognition using the RGB color model." In Melecon 2010 - 2010 15th IEEE Mediterranean Electrotechnical Conference. IEEE, 2010. http://dx.doi.org/10.1109/melcon.2010.5476365.

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Jalal, Ahmad, Shaharyar Kamal, and Daijin Kim. "Individual detection-tracking-recognition using depth activity images." In 2015 12th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI). IEEE, 2015. http://dx.doi.org/10.1109/urai.2015.7358903.

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Ning Jia, Victor Sanchez, Chang-Tsun Li, and Hassan Mansour. "The influence of segmentation on individual gait recognition." In 2015 IEEE International Workshop on Information Forensics and Security (WIFS). IEEE, 2015. http://dx.doi.org/10.1109/wifs.2015.7368563.

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Reports on the topic "Individual recognition"

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Kawai, Mayumi, Shin Kato, Naoko Minobe, and Sadayuki Tsugawa. Driver-Adaptive Display for Car Navigation Systems Based on Individual Driver Differences in Route Recognition and Map Preference. Warrendale, PA: SAE International, September 2005. http://dx.doi.org/10.4271/2005-08-0457.

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Eastman, Brittany. Legal Issues Facing Automated Vehicles, Facial Recognition, and Privacy Rights. SAE International, July 2022. http://dx.doi.org/10.4271/epr2022016.

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Facial recognition software (FRS) is a form of biometric security that detects a face, analyzes it, converts it to data, and then matches it with images in a database. This technology is currently being used in vehicles for safety and convenience features, such as detecting driver fatigue, ensuring ride share drivers are wearing a face covering, or unlocking the vehicle. Public transportation hubs can also use FRS to identify missing persons, intercept domestic terrorism, deter theft, and achieve other security initiatives. However, biometric data is sensitive and there are numerous remaining questions about how to implement and regulate FRS in a way that maximizes its safety and security potential while simultaneously ensuring individual’s right to privacy, data security, and technology-based equality. Legal Issues Facing Automated Vehicles, Facial Recognition, and Individual Rights seeks to highlight the benefits of using FRS in public and private transportation technology and addresses some of the legitimate concerns regarding its use by private corporations and government entities, including law enforcement, in public transportation hubs and traffic stops. Constitutional questions, including First, Forth, and Ninth Amendment issues, also remain unanswered. FRS is now a permanent part of transportation technology and society; with meaningful legislation and conscious engineering, it can make future transportation safer and more convenient.
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Gaponenko, Artiom, and Andrey Golovin. Electronic magazine with rating system of an estimation of individual and collective work of students. Science and Innovation Center Publishing House, October 2017. http://dx.doi.org/10.12731/er0043.06102017.

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«The electronic magazine with rating system of an estimation of individual and collective work of students» (EM) is developed in document Microsoft Excel with use of macros. EM allows to automate all the calculated operations connected with estimation of amount scored by students in each form of the current control. EM provides automatic calculation of rating of the student with reflection of a maximum quantity of the points received in given educational group. The rating equal to “1” is assigned to the student who has got a maximum quantity of points for the certain date. For the other students the share of their points in this maximum size is indicated. The choice of an estimation is made in an alphabetic format according to requirements of the European translation system of test units for the international recognition of results of educational outcomes (ECTS - European Credit Transfer System), by use of a corresponding scale of an estimation. The list of students is placed on the first page of magazine and automatically displayed on all subsequent pages. For each page of magazine the optimal size of document printing is set with automatic enter of current date and time. Owing to accounting rate of complexity of task EM is the universal technical tool which can be used for any subject matter.
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Markova, Oksana, Serhiy Semerikov, and Maiia Popel. СoCalc as a Learning Tool for Neural Network Simulation in the Special Course “Foundations of Mathematic Informatics”. Sun SITE Central Europe, May 2018. http://dx.doi.org/10.31812/0564/2250.

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The role of neural network modeling in the learning сontent of special course “Foundations of Mathematic Informatics” was discussed. The course was developed for the students of technical universities – future IT-specialists and directed to breaking the gap between theoretic computer science and it’s applied applications: software, system and computing engineering. CoCalc was justified as a learning tool of mathematical informatics in general and neural network modeling in particular. The elements of technique of using CoCalc at studying topic “Neural network and pattern recognition” of the special course “Foundations of Mathematic Informatics” are shown. The program code was presented in a CofeeScript language, which implements the basic components of artificial neural network: neurons, synaptic connections, functions of activations (tangential, sigmoid, stepped) and their derivatives, methods of calculating the network`s weights, etc. The features of the Kolmogorov–Arnold representation theorem application were discussed for determination the architecture of multilayer neural networks. The implementation of the disjunctive logical element and approximation of an arbitrary function using a three-layer neural network were given as an examples. According to the simulation results, a conclusion was made as for the limits of the use of constructed networks, in which they retain their adequacy. The framework topics of individual research of the artificial neural networks is proposed.
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Ali, Rassul. Konzeptentwicklung für CDM-Projekte - Risikoanalyse der projektbezogenen Generierung von CO2-Zertifikaten (CER). Sonderforschungsgruppe Institutionenanalyse, 2007. http://dx.doi.org/10.46850/sofia.9783933795842.

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The Clean Development Mechanism (CDM) is a complex legal-institutional system that, on the one hand, offers industrialized countries options for cost-effective emission reductions and, on the other, provides developing countries with opportunities for sustainable development. Investors face the difficulty of identifying suitable CDM projects from approximately 130 possible host countries and nearly 60 possible project activities. In order to develop points of reference for strategic investments, this paper identifies and categorizes the risks arising in the value creation process of bilateral energy projects into four action-related levels. At the host level, the focus is on political-institutional and sector-specific risks, while at the investor state level, the legal design of the CDM's complementary function is relevant. The project level covers technology- and process-related risks, with the identification of the reference case and the proof of additionality posing particular problems. The future design of the CDM and the reform of the procedure at the UNFCCC level pose a fundamental risk. A two-stage assessment procedure is proposed for risk assessment: a rough analysis captures sociographic, climate policy, institutional and sector-specific criteria of the host. The differentiation of the project stage allows the localization of the project in the value chain and a differentiation regarding the use of methods. The assessment of project registration is based on the methods used and gives recognition rates per method and project category; project performance is measured in terms of the ratio of emission reductions actually realized to those planned in the project documentation. A detailed analysis following the coarse analysis provides qualitative guidance for project evaluation. These include the Executive Board's methodological principles, correct application of methodologies, identification of the reference case, proof of additionality, as well as the financial conditions of the relevant sector and publicity-related aspects. Despite individual hosts and project technologies, the developed two-step risk analysis allows, with relatively little effort and in line with business practice, an initial assessment of CDM project risks, so that overall it lays a fundamental building block for the elaboration of a strategic implementation and sustainable investment under the CDM.
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Sadot, Einat, Christopher Staiger, and Zvi Kam Weizmann. functional genomic screen for new plant cytoskeletal proteins and the determination of their role in actin mediated functions and guard cells regulation. United States Department of Agriculture, January 2003. http://dx.doi.org/10.32747/2003.7587725.bard.

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The original objectives of the approved proposal were: 1. To construct a YFP fused Arabidopsis cDNA library in a mammalian expression vector. 2. To infect the library into a host fibroblast cell line and to screen for new cytoskeletal associated proteins using an automated microscope. 3. Isolate the new genes. 4. Characterize their role in plants. The project was approved as a feasibility study to allow proof of concept that would entail building the YFP library and picking up a couple of positive clones using the fluorescent screen. We report here on the construction of the YFP library, the development of the automatic microscope, the establishment of the screen and the isolation of positive clones that are plant cDNAs encoding cytoskeleton associated proteins. The rational underling a screen of plant library in fibroblasts is based on the high conservation of the cytoskeleton building blocks, actin and tubulin, between the two kingdoms (80-90% homology at the level of amino acids sequence). In addition, several publications demonstrated the recognition of mammalian cytoskeleton by plant cytoskeletal binding proteins and vice versa. The major achievements described here are: 1. The development of an automated microscope equipped with fast laser auto-focusing for high magnification and a software controlling 6 dimensions; X, Y position, auto focus, time, color, and the distribution and density of the fields acquired. This system is essential for the high throughput screen. 2. The construction of an extremely competent YFP library efficiently cloned (tens of thousands of clones collected, no empty vectors detected) with all inserts oriented 5't03'. These parameters render it well representative of the whole transcriptome and efficient in "in-frame" fusion to YFP. 3. The strategy developed for the screen allowing the isolation of individual positive cDNA clones following three rounds of microscopic scans. The major conclusion accomplished from the work described here is that the concept of using mammalian host cells for fishing new plant cytoskeletal proteins is feasible and that screening system developed is complete for addressing one of the major bottlenecks of the plant cytoskeleton field: the need for high throughput identification of functionally active cytoskeletal proteins. The new identified plant cytoskeletal proteins isolated in the pilot screen and additional new proteins which will be isolated in a comprehensive screen will shed light on cytoskeletal mediated processes playing a major role in cellular activities such as cell division, morphogenesis, and functioning such as chloroplast positioning, pollen tube and root hair elongation and the movement of guard cells. Therefore, in the long run the screen described here has clear agricultural implications.
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Hall, Mark, and Neil Price. Medieval Scotland: A Future for its Past. Society of Antiquaries of Scotland, September 2012. http://dx.doi.org/10.9750/scarf.09.2012.165.

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The main recommendations of the panel report can be summarised under five key headings. Underpinning all five areas is the recognition that human narratives remain crucial for ensuring the widest access to our shared past. There is no wish to see political and economic narratives abandoned but the need is recognised for there to be an expansion to more social narratives to fully explore the potential of the diverse evidence base. The questions that can be asked are here framed in a national context but they need to be supported and improved a) by the development of regional research frameworks, and b) by an enhanced study of Scotland’s international context through time. 1. From North Britain to the Idea of Scotland: Understanding why, where and how ‘Scotland’ emerges provides a focal point of research. Investigating state formation requires work from Medieval Scotland: a future for its past ii a variety of sources, exploring the relationships between centres of consumption - royal, ecclesiastical and urban - and their hinterlands. Working from site-specific work to regional analysis, researchers can explore how what would become ‘Scotland’ came to be, and whence sprang its inspiration. 2. Lifestyles and Living Spaces: Holistic approaches to exploring medieval settlement should be promoted, combining landscape studies with artefactual, environmental, and documentary work. Understanding the role of individual sites within wider local, regional and national settlement systems should be promoted, and chronological frameworks developed to chart the changing nature of Medieval settlement. 3. Mentalities: The holistic understanding of medieval belief (particularly, but not exclusively, in its early medieval or early historic phase) needs to broaden its contextual understanding with reference to prehistoric or inherited belief systems and frames of reference. Collaborative approaches should draw on international parallels and analogues in pursuit of defining and contrasting local or regional belief systems through integrated studies of portable material culture, monumentality and landscape. 4. Empowerment: Revisiting museum collections and renewing the study of newly retrieved artefacts is vital to a broader understanding of the dynamics of writing within society. Text needs to be seen less as a metaphor and more as a technological and social innovation in material culture which will help the understanding of it as an experienced, imaginatively rich reality of life. In archaeological terms, the study of the relatively neglected cultural areas of sensory perception, memory, learning and play needs to be promoted to enrich the understanding of past social behaviours. 5. Parameters: Multi-disciplinary, collaborative, and cross-sector approaches should be encouraged in order to release the research potential of all sectors of archaeology. Creative solutions should be sought to the challenges of transmitting the importance of archaeological work and conserving the resource for current and future research.
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Dalglish, Chris, and Sarah Tarlow, eds. Modern Scotland: Archaeology, the Modern past and the Modern present. Society of Antiquaries of Scotland, September 2012. http://dx.doi.org/10.9750/scarf.09.2012.163.

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The main recommendations of the panel report can be summarised under five key headings:  HUMANITY The Panel recommends recognition that research in this field should be geared towards the development of critical understandings of self and society in the modern world. Archaeological research into the modern past should be ambitious in seeking to contribute to understanding of the major social, economic and environmental developments through which the modern world came into being. Modern-world archaeology can add significantly to knowledge of Scotland’s historical relationships with the rest of the British Isles, Europe and the wider world. Archaeology offers a new perspective on what it has meant to be a modern person and a member of modern society, inhabiting a modern world.  MATERIALITY The Panel recommends approaches to research which focus on the materiality of the recent past (i.e. the character of relationships between people and their material world). Archaeology’s contribution to understandings of the modern world lies in its ability to situate, humanise and contextualise broader historical developments. Archaeological research can provide new insights into the modern past by investigating historical trends not as abstract phenomena but as changes to real lives, affecting different localities in different ways. Archaeology can take a long-term perspective on major modern developments, researching their ‘prehistory’ (which often extends back into the Middle Ages) and their material legacy in the present. Archaeology can humanise and contextualise long-term processes and global connections by working outwards from individual life stories, developing biographies of individual artefacts and buildings and evidencing the reciprocity of people, things, places and landscapes. The modern person and modern social relationships were formed in and through material environments and, to understand modern humanity, it is crucial that we understand humanity’s material relationships in the modern world.  PERSPECTIVE The Panel recommends the development, realisation and promotion of work which takes a critical perspective on the present from a deeper understanding of the recent past. Research into the modern past provides a critical perspective on the present, uncovering the origins of our current ways of life and of relating to each other and to the world around us. It is important that this relevance is acknowledged, understood, developed and mobilised to connect past, present and future. The material approach of archaeology can enhance understanding, challenge assumptions and develop new and alternative histories. Modern Scotland: Archaeology, the Modern past and the Modern present vi Archaeology can evidence varied experience of social, environmental and economic change in the past. It can consider questions of local distinctiveness and global homogeneity in complex and nuanced ways. It can reveal the hidden histories of those whose ways of life diverged from the historical mainstream. Archaeology can challenge simplistic, essentialist understandings of the recent Scottish past, providing insights into the historical character and interaction of Scottish, British and other identities and ideologies.  COLLABORATION The Panel recommends the development of integrated and collaborative research practices. Perhaps above all other periods of the past, the modern past is a field of enquiry where there is great potential benefit in collaboration between different specialist sectors within archaeology, between different disciplines, between Scottish-based researchers and researchers elsewhere in the world and between professionals and the public. The Panel advocates the development of new ways of working involving integrated and collaborative investigation of the modern past. Extending beyond previous modes of inter-disciplinary practice, these new approaches should involve active engagement between different interests developing collaborative responses to common questions and problems.  REFLECTION The Panel recommends that a reflexive approach is taken to the archaeology of the modern past, requiring research into the nature of academic, professional and public engagements with the modern past and the development of new reflexive modes of practice. Archaeology investigates the past but it does so from its position in the present. Research should develop a greater understanding of modern-period archaeology as a scholarly pursuit and social practice in the present. Research should provide insights into the ways in which the modern past is presented and represented in particular contexts. Work is required to better evidence popular understandings of and engagements with the modern past and to understand the politics of the recent past, particularly its material aspect. Research should seek to advance knowledge and understanding of the moral and ethical viewpoints held by professionals and members of the public in relation to the archaeology of the recent past. There is a need to critically review public engagement practices in modern-world archaeology and develop new modes of public-professional collaboration and to generate practices through which archaeology can make positive interventions in the world. And there is a need to embed processes of ethical reflection and beneficial action into archaeological practice relating to the modern past.
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Perrin, Jean-Patrick. Why We Care: An overview of the distribution of unpaid care work in Ma’an, southern Jordan. Oxfam, June 2021. http://dx.doi.org/10.21201/2021.7741.

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The concept of unpaid care work is not widely known in Ma’an or other parts of Jordan. As a result, the benefits of unpaid care to individuals’ lives, as well as its negative impact on women who bear a disproportionate share of it at the household level, are overlooked by both local communities and policy makers. As such, women remain largely excluded from playing an active role in the economy, and receive limited or no recognition for the significant role that they play within the household. In 2020, Oxfam commissioned a study on unpaid care work in Jordan’s southern region of Ma’an. The purpose of the study was to better understand what care work women and men do, how it is distributed, and how people think about it. The study found that women perform the vast majority of care work activities, and that gender norms compound an unequal redistribution of unpaid care. This paper presents the study results and makes recommendations on how the Government of Jordan, donors and NGOs can encourage the redistribution of unpaid care work and improve women’s access to livelihood opportunities.
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Michalak, Julia, Josh Lawler, John Gross, and Caitlin Littlefield. A strategic analysis of climate vulnerability of national park resources and values. National Park Service, September 2021. http://dx.doi.org/10.36967/nrr-2287214.

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The U.S. national parks have experienced significant climate-change impacts and rapid, on-going changes are expected to continue. Despite the significant climate-change vulnerabilities facing parks, relatively few parks have conducted comprehensive climate-change vulnerability assessments, defined as assessments that synthesize vulnerability information from a wide range of sources, identify key climate-change impacts, and prioritize vulnerable park resources (Michalak et al. In review). In recognition that funding and planning capacity is limited, this project was initiated to identify geographies, parks, and issues that are high priorities for conducting climate-change vulnerability assessments (CCVA) and strategies to efficiently address the need for CCVAs across all U.S. National Park Service (NPS) park units (hereafter “parks”) and all resources. To help identify priority geographies and issues, we quantitatively assessed the relative magnitude of vulnerability factors potentially affecting park resources and values. We identified multiple vulnerability factors (e.g., temperature change, wildfire potential, number of at-risk species, etc.) and sought existing datasets that could be developed into indicators of these factors. To be included in the study, datasets had to be spatially explicit or already summarized for individual parks and provide consistent data for at least all parks within the contiguous U.S. (CONUS). The need for consistent data across such a large geographic extent limited the number of datasets that could be included, excluded some important drivers of climate-change vulnerability, and prevented adequate evaluation of some geographies. The lack of adequately-scaled data for many key vulnerability factors, such as freshwater flooding risks and increased storm activity, highlights the need for both data development and more detailed vulnerability assessments at local to regional scales where data for these factors may be available. In addition, most of the available data at this scale were related to climate-change exposures, with relatively little data available for factors associated with climate-change sensitivity or adaptive capacity. In particular, we lacked consistent data on the distribution or abundance of cultural resources or accessible data on infrastructure across all parks. We identified resource types, geographies, and critical vulnerability factors that lacked data for NPS’ consideration in addressing data gaps. Forty-seven indicators met our criteria, and these were combined into 21 climate-change vulnerability factors. Twenty-seven indicators representing 12 vulnerability factors addressed climate-change exposure (i.e., projected changes in climate conditions and impacts). A smaller number of indictors measured sensitivity (12 indicators representing 5 vulnerability factors). The sensitivity indicators often measured park or landscape characteristics which may make resources more or less responsive to climate changes (e.g., current air quality) as opposed to directly representing the sensitivity of specific resources within the park (e.g., a particular rare species or type of historical structure). Finally, 6 indicators representing 4 vulnerability factors measured external adaptive capacity for living resources (i.e., characteristics of the park and/or surrounding landscape which may facilitate or impede species adaptation to climate changes). We identified indicators relevant to three resource groups: terrestrial living, aquatic living (including living cultural resources such as culturally significant landscapes, plant, or animal species) and non-living resources (including infrastructure and non-living cultural resources such as historic buildings or archeological sites). We created separate indicator lists for each of these resource groups and analyzed them separately. To identify priority geographies within CONUS,...
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