Dynamic placement in refugee resettlement by Ahani, N, Gölz, P, Procaccia, AD, Teytelboym, A, Trapp, AC

“…Our algorithm is based on two-stage stochastic programming and achieves over 98% of the hindsight-optimal employment, compared with under 90% of current greedy-like approaches. This dramatic improvement persists even when we incorporate a vast array of practical features of the refugee resettlement process including inseparable families, batching, and uncertainty with respect to the number of future arrivals. …”

Spontaneous symmetry breaking of an optical polarization state in a polarization-selective nonlinear reson by Manannikov, K, Mironova, E, Poliakov, A, Mikhaylov, A, Ulanov, A, Lvovsky, A

“…We propose utilizing this mechanism to simulate an Ising-like interaction between multiple spatial modes and as a basis for a fully optical coherent Ising machine (CIM).…”

Towards the understanding of heavy quarks hadronization: from leptonic to heavy-ion collisions by Altmann, J, Dubla, A, Greco, V, Rossi, A, Skands, P

“…As several recent findings demonstrate, with e+e- collisions as a “vacuum-like” reference at one extreme, and central nucleus–nucleus as a dense, extended size system characterized by flow and local equilibrium at the opposite extreme, different collision systems offer a lever arm that can be exploited to probe with a range of heavy-flavour hadron species the onset of various hadronization processes. …”

How in-person conversations shape political polarization: quasi-experimental evidence from a nationwide initiative by Fang, X, Heuser, S, Stötzer, LS

“…We find asymmetric effects: conversations with like-minded individuals caused political views to become more extreme (ideological polarization); by contrast, conversations with contrary-minded individuals did not lead to a convergence of political views, but significantly reduced negative beliefs and attitudes toward ideological out-group members (affective polarization), while also improving perceived social cohesion more generally. …”

Dynamic placement in refugee resettlement by Ahani, N, Gölz, P, Procaccia, AD, Teytelboym, A, Trapp, AC

“…Our algorithm achieves over 98% of the hindsight- optimal employment compared to under 90% of current greedy-like approaches. This dramatic improvement persists even when we incorporate a vast array of practical features of the refugee resettlement process including indivisible families, batching, and uncertainty with respect to the number of future arrivals. …”

Unsettling subject English in the 21st century by Elliott, VF, McLean Davies, L

“…We see this as an opening up of a comparative conversation about subject English across the Anglophone world, the different contexts of unsettling, and what that subject might look like if it is to enact the justice imperatives of education in the 21st century. …”

A study on factors affecting receptivity to traditional chinese medicine In Singapore. by Chu, Hui Wen., Liu, Jia., Tan, Pei Ting.

“…In an ageing population like Singapore, the integration of TCM into the mainstream healthcare system may serve as an ideal long-term healthcare solution to combat the threat of geriatrics. …”
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Motive and malice prepensed by Getzler, J

“…‘Start with Buckland,’ David told me. ‘He sometimes writes like the engineer he once was. But it’s really good scholarship.’ …”

Analysis of influence and its applications in social advertising by Zhu, Yuqing

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Modulating optical and electrical properties of TiO2 photoanode in dye-sensitized solar cells by Pham, Thi Thu Trang

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古典文学中的“戏妻”、“试妻”现象 = An analysis of "Husband Teasing wife" in classical Chinese literature by 郑慧萍 Tay, Hui Ping

“…Thus, the “Husband Teasing Wife” plot gradually developed and was inherited by later works. From the Ming Dynasty onwards, “Husband Teasing Wife” mainly exists in the form of “Husband Testing Wife”. …”
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Building AI Applications with ChatGPT APIs : Master ChatGPT, Whisper, and DALL-E APIs by building ten innovative AI projects / by Yanev, Martin, author 656265

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Facies analysis and depositional model of the middle-upper triassic Semantan formation, Central Pahang, Malaysia by Muhammad Azfar, Mohamed, Mazshurraiezal, Nasir, Mohd Syukri, Said, Meng, Choongchee, Mohamad Shaufi, Sokiman, Nur Asyraf, Md Akhir, Muhammad Aslam, Md Yusof, Muhammad Noor Amin, Zakariah, Mohd Nizam, Abdul Rashid, Salahuddin, Husein, Noorzamzarina, Sulaiman, Afiq Naim, Mohd

“…Seven (F1-7) facies have been identified which are; F1) poorly sorted conglomerate, F2) pebbly sandstone, F3) structureless-to-parallel laminated sandstone, F4) wavy-to-ripple fine-to-medium laminated sandstone, F5) slumped thin-interbeded sandstone and shale, F6) interbedded sandstone and shale, and F7) shale, represent a subordinate part of the Semantan Formation. …”
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Experimental and AI-driven enhancements in gas-phase photocatalytic CO2 conversion over synthesized highly ordered anodic TiO2 nanotubes by Hossen, Md. Arif, Hasan, Md. Munirul, Ahmed, Yunus, Azrina, Abd Aziz, Nurashikin, Yaacof, Leong, Kah Hon

“…The K-fold cross-validation method was employed to fine-tune the hyperparameters of the ML models. Compared to other ML models, the artificial neural networks (ANN) model showed an outstanding rating of performance evaluation metrics, including R2, MSE, RMSE, and MRE. …”
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Surface Compositions of Trojan Asteroids by Emery, Joshua P., Binzel, Richard P., Britt, Daniel T., Brown, Michael E., Howett, Carly J. A., Martin, Audrey C., Melita, Mario D., Souza-Feliciano, Ana Carolina, Wong, Ian

“…Mid-infrared emissivity spectra reveal the presence of fine-grained anhydrous silicates on the surfaces. …”
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A multi-view context-aware approach to Android malware detection and malicious code localization by Narayanan, Annamalai, Chandramohan, Mahinthan, Chen, Lihui, Liu, Yang

“…Besides multi-view learning, MKLDroid’s unique and salient trait is its ability to locate fine-grained malice code portions in dependency graphs (e.g., methods/classes). …”
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Tackling background ambiguities in multi-class few-shot point cloud semantic segmentation by Lai, Lvlong, Chen, Jian, Zhang, Chi, Zhang, Zehong, Lin, Guosheng, Wu, Qingyao

“…With our proposed approach, fine-tuning, a weak baseline method for few-shot segmentation, gains significant performance improvement (e.g., 7.48% and 7.04% in 2-way-1-shot and 3-way-1-shot tasks of S3DIS, respectively) and outperforms current state-of-the-art methods in all the task settings of S3DIS and ScanNet benchmark datasets.…”
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Hierarchical skeleton Meta-Prototype Contrastive learning with hard skeleton mining for unsupervised person re-identification by Rao, Haocong, Leung, Cyril, Miao, Chunyan

“…Firstly, we construct hierarchical representations of skeletons to model coarse-to-fine body and motion features from the levels of body joints, components, and limbs. …”
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Full-spectrum out-of-distribution detection by Yang, Jingkang, Zhou, Kaiyang, Liu, Ziwei

“…These new benchmarks have a more fine-grained categorization of distributions (i.elet@tokeneonedot, training ID, covariate-shifted ID, near-OOD, and far-OOD) for the purpose of more comprehensively evaluating the pros and cons of algorithms. …”
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Unsupervised land-use change detection using multi-temporal POI embedding by Yao, Yao, Zhu, Qia, Guo, Zijin, Huang, Weiming, Zhang, Yatao, Yan, Xiaoqin, Dong, Anning, Jiang, Zhangwei, Liu, Hong, Guan, Qingfeng

“…In addition, our model can effectively identify areas with unchanged land use and land use changes in residential and industrial areas at a fine scale.…”
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