Internal representations of temporal statistics and feedback calibrate motor-sensory interval timing. by Luigi Acerbi, Daniel M Wolpert, Sethu Vijayakumar

“…This suggests that they build an internal representation of both the experimentally imposed distribution of time intervals (the prior) and of the error (the loss function). The responses of a Bayesian ideal observer depend crucially on these internal representations, which have only been previously studied for simple distributions. …”
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The University of Canterbury Library (Christchurch, New Zealand) by Mojca Jevnikar-Zajc

“…Adequately furnished areas, well organized work and professional staff enable the library to function successfully. Its work is mainly aimed at user education and information technology development. …”
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Revealing arginine-cysteine and glycine-cysteine NOS linkages by a systematic re-evaluation of protein structures by Sophia Bazzi, Sharareh Sayyad

“…By revisiting and re-examining well-established protein models, this work underscores how systematic data-driven approaches can uncover hidden aspects of protein chemistry and inspire deeper insights into protein function and stability.…”
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Cumulative Prospect Theory-Driven Pigeon-Inspired Optimization for UAV Swarm Dynamic Decision-Making by Yalan Peng, Mengzhen Huo

“…Gray relational analysis and information entropy theory are integrated into cumulative prospect theory (CPT), constructing a prospect value model for Pareto solutions by setting reference points, defining value functions, and determining attribute weights. This prospect value is used to evaluate the quality of each Pareto solution and serves as the fitness function in the pigeon-inspired optimization (PIO) algorithm to guide its evolutionary process. …”
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Intelligent Fault Severity Detection of Rotating Machines Based on VMD-WVD and Parameter-Optimized DBN by Ning Jia, Yao Cheng, Youyuan Tian, Feiyu Yang

“…The fitness function in the parameter optimization process is the network’s root mean square error (RMSE). …”
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The Reshaping and Effect Evaluation of Immersive Communication on Museum Cultural Experience by Huang Gang, Zhong Junjie

“…In summary, immersive communication technology has brought revolutionary changes to the cultural experience of museums and is of great significance in enhancing the educational function and cultural dissemination effect of museums.…”
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Monocular VO Based on Deep Siamese Convolutional Neural Network by Hongjian Wang, Xicheng Ban, Fuguang Ding, Yao Xiao, Jiajia Zhou

“…Deep learning-based visual odometry systems have shown promising performance compared with geometric-based visual odometry systems. …”
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“What Is the Alternative Then?” Affective Challenges in Citizenship Education for Sustainable Intercultural Societies by Juhwan Kim

“…In doing so, this study illuminates how affective dynamics function as an onto-epistemological power behind social production that shapes our cognitive rational deliberations on citizenship and undergirding ideology(ies). …”
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Improved marine predators algorithm for engineering design optimization problems by Ye Chun, Xu Hua, Chen Qi, Ye Xin Yao

“…The performance of the IMPA was evaluated through benchmark functions, CEC2021 suite problems, and engineering design problems, including welded beam design, tension/compression spring design, pressure vessel design, and three-bar design. …”
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Lane Detection Based on CycleGAN and Feature Fusion in Challenging Scenes by Eric Hsueh-Chan Lu, Wei-Chih Chiu

“…The proposed consistent loss function is employed to mitigate performance disparities of the model in different scenarios. …”
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Path Planning for Wall-Climbing Robots Using an Improved Sparrow Search Algorithm by Wenyuan Xu, Chao Hou, Guodong Li, Chuang Cui

“…First, the initial population is optimized using logistic–tent chaotic mapping and refracted opposition-based learning, with dynamic adjustments to the population size during the iterative process. …”
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Fatal Septicaemia Following Suprapubic Cystostomy in a Paraplegic Patient: Never Do a Cystostomy without Prior Urine Culture and Appropriate Antibiogram! by Subramanian Vaidyanathan, Bakul M. Soni, Tun Oo, Peter L. Hughes, Gurpreet Singh

“…Inappropriate initial antimicrobial therapy was the major contributory factor for this patient's mortality. Learning points from this case are (1) never do a cystostomy without prior urine culture and appropriate antibiogram; (2) in a chronic spinal cord injury patient, full blood count, liver function tests, albumin level, and albumin to globulin ratio should be performed before any surgical procedure.…”
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Construction and control parameter matching method of hydraulic pile hammer surrogate model combining transfer algorithm and knowledge embedding by Hongqi Jiang, Xiao Jiang

“…On this basis, the model introduces physics knowledge embedding technology, adds inequality constraints based on physical laws to the loss function, and introduces transfer learning algorithms to maintain high accuracy of the model under limited data conditions. …”
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RBM4-mediated intron excision of Hsf1 induces BDNF for cerebellar foliation by Chiu-Lun Shen, Yu-Young Tsai, Shen-Ju Chou, Yao-Ming Chang, Woan-Yuh Tarn

“…Abstract Brain-derived neurotrophic factor (BDNF) plays important roles in brain development and neural function. Constitutive knockout of the splicing regulator RBM4 reduces BDNF expression in the developing brain and causes cerebellar hypoplasia, an autism-like feature. …”
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Named entity recognition for bacterial Type IV secretion systems. by Sophia Ananiadou, Dan Sullivan, William Black, Gina-Anne Levow, Joseph J Gillespie, Chunhong Mao, Sampo Pyysalo, Balakrishna Kolluru, Junichi Tsujii, Bruno Sobral

“…Based on an annotated corpus, large domain terminological resources, and machine learning techniques, we developed recognizers for these entities. …”
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Ethnolinguistic Identity of the Sakha-Speaking Evenks: Results of a Study in the Zhigansk District of the Republic of Sakha (Yakutia) by Igor A. Danilov

“…However, for the language to function fully, a comprehensive language policy is essential. …”
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Research on a Rapid Three-Dimensional Compressor Flow Field Prediction Method Integrating U-Net and Physics-Informed Neural Networks by Chen Wang, Hongbing Ma

“…This model is based on structured CFD training data and physics-informed loss functions and is proposed for direct 3D compressor flow prediction. …”
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Sistem Manajemen Proyek Berbasis Website Dengan Metode Kanban by Florence Aurelia Widjaja, Bhustomy Hakim

“…The research involved problem identification, literature review, and interviews with project managers to gather both functional and non-functional requirements. The results show that the developed system includes key features such as workspace management, member management, project and task management, task prioritization, deadline setting, and visualizations in the form of Kanban boards and calendars. …”
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TRANSFORMASI PESANTREN DI INDONESIA: PERAN DALAM PENDIDIKAN ISLAM, NASIONALISME, DAN PERUBAHAN SOSIAL by Shapiah Shapiah

“…The results of the study show that Islamic boarding schools as traditional Islamic educational institutions, not only function as centers of religious learning, but also as agents of social change and character formation. …”
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Identifying Capsule Defect Based on an Improved Convolutional Neural Network by Junlin Zhou, Jiao He, Guoli Li, Yongbin Liu

“…Then, cross entropy is used as a loss function to measure the prediction performance of the model. …”
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