Bella's empowerment - why the twilight saga is not anti-feminist. by See, Shawn Kai Sheng.

“…Meyer delineates how caught in between the fantastical world of these mythical arch-enemies, Bella, a weak and hapless human, successfully navigates and plots her own path such that by the end of the series supernatural hostilities are buried and Bella is able to create her very own happily ever after.…”
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The wet, the wild and the wondrous by Kuek, Sophia Ying Ting, Lim, Christel Wenfang, Josh, Raeburn Brandon, Toh, Yi Shien

“…What makes seemingly mundane grocery shopping venues and experiences so important to Singapore's social space? The Wet, the Wild and the Wondrous takes a granular look at the aspects of wet markets – architectural, sociological, economic – that make up its unique character. …”
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Fisher vector faces in the wild by Simonyan, K, Parkhi, O, Vedaldi, A, Zisserman, A

“…<br> This paper makes two contributions: first, and somewhat surprisingly, we show that Fisher vectors on densely sampled SIFT features, i.e. an off-the-shelf object recognition representation, are capable of achieving state-of-the-art face verification performance on the challenging “Labeled Faces in the Wild” benchmark; second, since Fisher vectors are very high dimensional, we show that a compact descriptor can be learnt from them using discriminative metric learning. …”

The intelligence of artifice: Oscar Wilde and AI by Tyson, C, Mendelssohn, M

“…The worship of artifice has long been a central thread in studies of modernity from aestheticism and decadence through postmodernism. Oscar Wilde has been a central figure in this conversation. …”

Towards robust monocular depth estimation in the wild by Zheng, Zhenkai

“…This research project aims to create a robust monocular depth estimation model that is capable of predicting accurate relative depth maps in the wild. The project will highlight the significance of the training dataset used during supervised model training by comparing models trained with our new mixed dataset in the wild with a common open-source dataset such as NYU. …”
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(Re)wilding London: fabric, politics, and aesthetics by Turnbull, J, Fry, T, Lorimer, J

Cryptography in the Wild: An Empirical Analysis of Vulnerabilities in Cryptographic Libraries by Blessing, Jenny, Specter, Michael A., Weitzner, Daniel J.

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Discriminative deep metric learning for face verification in the wild by Hu, Junlin, Lu, Jiwen, Tan, Yap Peng

“…This paper presents a new discriminative deep metric learning (DDML) method for face verification in the wild. Different from existing metric learning-based face verification methods which aim to learn a Mahalanobis distance metric to maximize the inter-class variations and minimize the intra-class variations, simultaneously, the proposed DDML trains a deep neural network which learns a set of hierarchical nonlinear transformations to project face pairs into the same feature subspace, under which the distance of each positive face pair is less than a smaller threshold and that of each negative pair is higher than a larger threshold, respectively, so that discriminative information can be exploited in the deep network. …”
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On hybridization between Theropithecus gelada and Papio anubis in the wild by Dunbar, RIM, Dunbar, P

“…Evidence is presented which suggests that <i>Theropithecus gelada</i> and <i>Papio anubis</i> may interbreed in the wild. The behavioural and ecological circumstances which give rise to this are discussed. …”

ContrastSense: domain-invariant contrastive learning for in-the-wild wearable sensing by Dai, Gaole, Xu, Huatao, Yoon, Hyungjun, Li, Mo, Tan, Rui, Lee, Sung-Ju

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Genetic, natal, and spatial drivers of social phenotypes in wild great tits by Satarkar, D, Sepil, I, Sheldon, BC

“…This requires the estimation of the genetic and environmental basis of these behaviours, which is challenging in uncontrolled wild populations.</li> <li>In this study, we partitioned genetic, developmental and spatial environmental variation in repeatable social network traits derived from foraging events. …”

Use of anthropogenic landscapes in a wild Columba livia (Rock Dove) population by Smith, WJ, Portugal, SJ, Jezierski, MT

“…The domestic pigeon’s wild form is the Rock Dove (<em>Columba livia</em>). …”

Bird-Count: a multi-modality benchmark and system for bird population counting in the wild by Wang, Hongchang, Lu, Huaxiang, Guo, Huimin, Jian, Haifang, Gan, Chuang, Liu, Wu

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Exploring the dynamics of gene drive mosquitoes within wild populations using an agent-based simulation by Wickramasooriya, S, Mahmood, I, Calinescu, A, Wooldridge, M, Lanzaro, G

Allee effects: empirical analyses of wild British butterfly populations and theoretical implications for population synchrony by Dooley, C

T-helper cell phenotypes are repeatable, positively correlated, and associated with helminth infection in wild Soay sheep by Corripio-Miyar, Y, Hayward, AD, Lemon, H, Bal, X, Cunnea, C, Kenyon, F, Pilkington, JG, Pemberton, JM, Nussey, DH, McNeilly, TN

“…Methods: Between 2019 and 2022 we completed 759 captures of 538 wild Soay sheep (1–4 captures per animal) and monitored body weight, parasite egg counts, Th phenotypes, cytokines, and GIN-specific antibodies. …”

Multivariate morphometric analysis of Mangosteen (Garcinia mangostana var. mangostana, Clusiaceae) and its wild relatives by Yao, T.L., Nazre, M., Duminil, J., Loup, C., Munzinger, J.

“…The highly similar morphological characters between the cultivated and wild varieties have posed challenges in identification. …”
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Wild ways: a scoping review on influencing urban-rewilding behaviour in relation to adaptations to private gardens by Moxon, Sian, Webb, Justin, Semertzi, Alexandros, Samangooei, Mina

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Continent-wide drivers of spatial synchrony in breeding demographic structure across wild great tit populations by Woodman, JP, Vriend, SJG, Adriaensen, F, Cole, E, Evans, Park, JS, Firth, JA, Sheldon, B

Impact of interspecific competition on African wild dogs (Lycaon pictus) in an ecosystem with artificial perennial water provision by Sandoval Serés, ME

“…Interspecific competition with large predators affects African wild dogs through food resource competition, exclusion from prey rich areas, kleptoparasitism, injury, mortality, den site selection, and human landscape exposure. …”