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Journal articles on the topic 'Sites.google.com'

Author: Grafiati

Published: 29 July 2024

Last updated: 30 July 2024

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1

Lapinskas, Remigijus. "sites.google.com/view/Lapinskas – Mathematical readings." Lietuvos matematikos rinkinys 64 (November 20, 2023): 48–49. http://dx.doi.org/10.15388/lmd.2023.33595.

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This article is about the author's online book "Mathematical Readings" [2]. The book presents the high school math course in a slightly different way than conventional textbooks, the work focuses less on routine problems and tries to examine mathematical concepts in a broader context. The book makes frequent use of mobile math apps and the R program, and links to online sources are often provided. The text may be useful for self-study and math circles.

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De Fino, Melissa. "COOPERATIVE CATALOGING RULES http://sites.google.com/site/opencatalogingrules/." Technical Services Quarterly 27, no. 3 (2010): 317–18. http://dx.doi.org/10.1080/07317131003769433.

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Bongiorno, Enea G., Alessandra Micheletti, Giovanni Naldi, and Davide La Torre. "SHAPE AND SIZE IN MEDICINE, BIOTECHNOLOGY, MATERIALS SCIENCE AND SOCIAL SCIENCES." Image Analysis & Stereology 30, no. 3 (2011): 133. http://dx.doi.org/10.5566/ias.v30.p133-134.

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This special issue gathers together papers presented during the workshop Shape and Size in Medicine, Biotechnology, Materials Science and Social Sciences, Milano, Italy, 16-17 February 2011, https://sites.google.com/site/shapemilan/home

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Bibee, Abigail. "Resource Description and Access Happy Fun Time Companion http://sites.google.com/site/codlinandshort/." Technical Services Quarterly 28, no. 3 (2011): 367–68. http://dx.doi.org/10.1080/07317131.2011.574549.

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Putri, Evi Ananda, Yulia Linguistika, and Siti Mas'ula. "PENGEMBANGAN MEDIA KARTU SOAL MATEMATIKA BERBASIS GOOGLE SITES MATERI KPK DAN FPB PADA SISWA KELAS IV SEKOLAH DASAR." Sekolah Dasar: Kajian Teori dan Praktik Pendidikan 31, no. 2 (2022): 87. http://dx.doi.org/10.17977/um009v31i22022p087.

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This development research aims to produce question card media based on google sites material for LCM and GCF grade IV Elementary Schools that are valid and interesting for students. The research model uses the ADDIE model with five stages of development including: (1) analysis, (2) design, (3) development, (4) implementation, and (5) evaluation. The product is a website link (https://sites.google.com/view/media-mathion-card/page-muka) which is online. Based on the validation results, the percentage of material experts is 85 percent (valid), the percentage of media experts is 96.67 percent (ver

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Sitarz, Sebastian, and Krzysztof Botor. "MOLPTOL - a software package for sensitivityanalysis in MOLP." Multiple Criteria Decision Making 16 (2021): 140–52. http://dx.doi.org/10.22367/mcdm.2021.16.08.

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The paper introduces a new software package, MOLPTOL, for sensitivity analysis in multi-objective linear programming. In this application, which is available for free of charge on the web page (https:// sites.google.com/view/molptol), the tolerance approach as a measure of sensitivity is used. The motivation for creating MOLPTOL is the lack of such tools to date. MOLPTOL is novel for multi-criteria decision-making methods based on sensitivity analysis. The paper presents some new computational methods for obtaining the supremal tolerances as well. Keywords: multi-objective linear programming,

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Pont, Frédéric, Marie Tosolini, and Jean J. Fournié. "Single-Cell Signature Explorer for comprehensive visualization of single cell signatures across scRNA-seq datasets." Nucleic Acids Research 47, no. 21 (2019): e133-e133. http://dx.doi.org/10.1093/nar/gkz601.

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Abstract The momentum of scRNA-seq datasets prompts for simple and powerful tools exploring their meaningful signatures. Here we present Single-Cell_Signature_Explorer (https://sites.google.com/site/fredsoftwares/products/single-cell-signature-explorer), the first method for qualitative and high-throughput scoring of any gene set-based signature at the single cell level and its visualization using t-SNE or UMAP. By scanning datasets for single or combined signatures, it rapidly maps any multi-gene feature, exemplified here with signatures of cell lineages, biological hallmarks and metabolic pa

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Alami, Z., L. Idelkheir, I. Zine-Eddine, et al. "PORTE FOLIO DES COMPETENCES PRATIQUES DU RESIDENT EN CHIRURGIE PLASTIQUE AU MAROC." International Journal of Advanced Research 12, no. 03 (2024): 556–90. http://dx.doi.org/10.21474/ijar01/18427.

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In Morocco, plastic surgery is a comprehensive specialty that encompasses various domains. The training is lengthy and rigorous, involving residents in a extensive curriculum with both theoretical education and practical hospital training. The study aims to assess residents skills, define mastered procedures, and collect feedback to enhance the quality of education.A secondary objective is to create a portfolio using digital support: https://sites.google.com/view/comptencespratiqueduresident/accueil. To enable residents to track their progress and make informed decisions about their career in

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Ghosh, Saptarshi, Kripabandhu Ghosh, Debasis Ganguly, et al. "Report on the 2nd Symposium on Artificial Intelligence and Law (SAIL) 2022." ACM SIGIR Forum 56, no. 1 (2022): 1–7. http://dx.doi.org/10.1145/3582524.3582538.

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This report describes the 2 nd edition of the Symposium on Artificial Intelligence and Law (SAIL) organized as a virtual event during June 6--9, 2022. The aim of SAIL is to bring together experts from the industry and the academia to discuss the scope and future of AI as applied to the legal domain. The symposium is also meant to foster collaborations between researchers of the following communities: Law, Artificial Intelligence, Data Mining, Information Retrieval, and Natural Language Processing. Eminent researchers working on AI and Law in both the academia and the industry were invited to d

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Danese, Anthony. "A Gauss’s Law Computer Simulation in GlowScript." Physics Teacher 60, no. 5 (2022): 385–87. http://dx.doi.org/10.1119/10.0010396.

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In this paper I describe an interactive Gauss’s law computer simulation using the GlowScript programming environment. The simulation calculates a point charge’s electric field at locations on the surface of a Gaussian cube and displays the electric field in GlowScript’s 3D graphics window. The point charge can be moved, and the electric field visualization will update dynamically. Students can use the simulation controls to record the electric field strength and direction, and then copy and paste the data into a spreadsheet in order to calculate the electric flux through the cube. The simulati

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Law, Wan Ching, Rachel McClanahan, and Penny C. Weismuller. "Depression Screening in the School Setting: Identification of the Depressed Adolescent." NASN School Nurse 32, no. 6 (2017): 364–70. http://dx.doi.org/10.1177/1942602x17726095.

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Adolescent depression is a silent epidemic in this country. Untreated depression has detrimental effects on physical health, psychosocial well-being, and academic productivity. It is important for school nurses to be able to recognize depression and refer students promptly for treatment. This article and its associated learning module will provide school nurses with updated information on adolescent depression, discuss barriers in depression screening, use of the PHQ-9 (Patient Health Questionaire-9 Item) as an evidence-based depression screening tool in the educational setting, and the import

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Matsubara, Teppei, Tomoshiro Ochiai, Morihiro Hayashida, Tatsuya Akutsu, and Jose C. Nacher. "Convolutional neural network approach to lung cancer classification integrating protein interaction network and gene expression profiles." Journal of Bioinformatics and Computational Biology 17, no. 03 (2019): 1940007. http://dx.doi.org/10.1142/s0219720019400079.

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Deep learning technologies are permeating every field from image and speech recognition to computational and systems biology. However, the application of convolutional neural networks (CCNs) to “omics” data poses some difficulties, such as the processing of complex networks structures as well as its integration with transcriptome data. Here, we propose a CNN approach that combines spectral clustering information processing to classify lung cancer. The developed spectral-convolutional neural network based method achieves success in integrating protein interaction network data and gene expressio

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Son, Sanghyun, Yi-Ling Qiao, Jason Sewall, and Ming C. Lin. "Differentiable Hybrid Traffic Simulation." ACM Transactions on Graphics 41, no. 6 (2022): 1–10. http://dx.doi.org/10.1145/3550454.3555492.

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We introduce a novel differentiable hybrid traffic simulator , which simulates traffic using a hybrid model of both macroscopic and microscopic models and can be directly integrated into a neural network for traffic control and flow optimization. This is the first differentiable traffic simulator for macroscopic and hybrid models that can compute gradients for traffic states across time steps and inhomogeneous lanes. To compute the gradient flow between two types of traffic models in a hybrid framework, we present a novel intermediate conversion component that bridges the lanes in a differenti

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Yarats, Denis, Amy Zhang, Ilya Kostrikov, Brandon Amos, Joelle Pineau, and Rob Fergus. "Improving Sample Efficiency in Model-Free Reinforcement Learning from Images." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 12 (2021): 10674–81. http://dx.doi.org/10.1609/aaai.v35i12.17276.

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Training an agent to solve control tasks directly from high-dimensional images with model-free reinforcement learning (RL) has proven difficult. A promising approach is to learn a latent representation together with the control policy. However, fitting a high-capacity encoder using a scarce reward signal is sample inefficient and leads to poor performance. Prior work has shown that auxiliary losses, such as image reconstruction, can aid efficient representation learning. However, incorporating reconstruction loss into an off-policy learning algorithm often leads to training instability. We exp

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Yeh, Jia-Fong, Chi-Ming Chung, Hung-Ting Su, Yi-Ting Chen, and Winston H. Hsu. "Stage Conscious Attention Network (SCAN): A Demonstration-Conditioned Policy for Few-Shot Imitation." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 8 (2022): 8866–73. http://dx.doi.org/10.1609/aaai.v36i8.20868.

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In few-shot imitation learning (FSIL), using behavioral cloning (BC) to solve unseen tasks with few expert demonstrations becomes a popular research direction. The following capabilities are essential in robotics applications: (1) Behaving in compound tasks that contain multiple stages. (2) Retrieving knowledge from few length-variant and misalignment demonstrations. (3) Learning from an expert different from the agent. No previous work can achieve these abilities at the same time. In this work, we conduct FSIL problem under the union of above settings and introduce a novel stage conscious att

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Isacchini, Giulio, Carlos Olivares, Armita Nourmohammad, Aleksandra M. Walczak, and Thierry Mora. "SOS: online probability estimation and generation of T-and B-cell receptors." Bioinformatics 36, no. 16 (2020): 4510–12. http://dx.doi.org/10.1093/bioinformatics/btaa574.

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Abstract Summary Recent advances in modelling VDJ recombination and subsequent selection of T- and B-cell receptors provide useful tools to analyse and compare immune repertoires across time, individuals and tissues. A suite of tools—IGoR, OLGA and SONIA—have been publicly released to the community that allow for the inference of generative and selection models from high-throughput sequencing data. However, using these tools requires some scripting or command-line skills and familiarity with complex datasets. As a result, the application of the above models has not been available to a broad au

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Pezatti, Erotilde Goreti, and Ana Carolina Teixeira Peres. "Os vários usos de "mesmo" no português brasieiro dos séculos XVIII, XIX e XX." Revista do GEL 19, no. 3 (2023): 249–71. http://dx.doi.org/10.21165/gel.v19i3.3441.

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Este estudo investiga o uso de mesmo no português brasileiro, nos séculos XVIII, XIX e XX. A proposta consiste em verificar, na história recente do português, a persistência ou não da multifuncionalidade desse item. Para tanto, toma como universo de pesquisa cartas particulares e cartas oficiais extraídas do córpus do Projeto para a História do Português Brasileiro (https://sites.google.com/site/corporaphpb), e, como suporte teórico, a Gramática Discursivo-Funcional, desenvolvida por Hengeveld e Mackenzie (2008). Os resultados mostram que os cinco diferentes usos (operador de ênfase, função pr

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Tran, Huyen T. T., Nam Pham Ngoc, Tobias Hoßfeld, Michael Seufert, and Truong Cong Thang. "Cumulative Quality Modeling for HTTP Adaptive Streaming." ACM Transactions on Multimedia Computing, Communications, and Applications 17, no. 1 (2021): 1–24. http://dx.doi.org/10.1145/3423421.

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HTTP Adaptive Streaming has become the de facto choice for multimedia delivery. However, the quality of adaptive video streaming may fluctuate strongly during a session due to throughput fluctuations. So, it is important to evaluate the quality of a streaming session over time. In this article, we propose a model to estimate the cumulative quality for HTTP Adaptive Streaming. In the model, a sliding window of video segments is employed as the basic building block. Through statistical analysis using a subjective dataset, we identify four important components of the cumulative quality model, nam

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DIMA, CINDY CITYA. "Rancangan Konten Desa Wisata Kampoeng Dolanan Eyang R. Tjokrowihardjo pada Media Google Sites untuk Walitelon Utara Temanggung." Media Wisata 20, no. 1 (2022): 71–77. http://dx.doi.org/10.36276/mws.v20i1.130.

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Design of tourism village content of Kampoeng Dolanan Eyang R. Tjokrowihardjo on google sites media for the north walitelon of Temanggung. The use of Google Sites can increase Pokdarwis competence and general public visits as digital literacy readers. Specific targets to be achieved are orderly administration for Pokdarwis workshops and at the same time as promotional media with google sites for the general public. The method used is a qualitative descriptive (phenomenon) because the Covid 19 pandemic phenomenon is still a scourge for tourism, especially tourist villages. This study uses data

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Tang, M. J., R. A. Cox, and M. Kalberer. "Compilation and evaluation of gas phase diffusion coefficients of reactive trace gases in the atmosphere: volume 1. Inorganic compounds." Atmospheric Chemistry and Physics 14, no. 17 (2014): 9233–47. http://dx.doi.org/10.5194/acp-14-9233-2014.

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Abstract. Diffusion of gas molecules to the surface is the first step for all gas–surface reactions. Gas phase diffusion can influence and sometimes even limit the overall rates of these reactions; however, there is no database of the gas phase diffusion coefficients of atmospheric reactive trace gases. Here we compile and evaluate, for the first time, the diffusivities (pressure-independent diffusion coefficients) of atmospheric inorganic reactive trace gases reported in the literature. The measured diffusivities are then compared with estimated values using a semi-empirical method developed

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Fan, Wan-Cyuan, Cheng-Fu Yang, Chiao-An Yang, and Yu-Chiang Frank Wang. "Target-Free Text-Guided Image Manipulation." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 1 (2023): 588–96. http://dx.doi.org/10.1609/aaai.v37i1.25134.

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We tackle the problem of target-free text-guided image manipulation, which requires one to modify the input reference image based on the given text instruction, while no ground truth target image is observed during training. To address this challenging task, we propose a Cyclic-Manipulation GAN (cManiGAN) in this paper, which is able to realize where and how to edit the image regions of interest. Specifically, the image editor in cManiGAN learns to identify and complete the input image, while cross-modal interpreter and reasoner are deployed to verify the semantic correctness of the output ima

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Li, Jing, Jing Xu, Fangwei Zhong, Xiangyu Kong, Yu Qiao, and Yizhou Wang. "Pose-Assisted Multi-Camera Collaboration for Active Object Tracking." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 01 (2020): 759–66. http://dx.doi.org/10.1609/aaai.v34i01.5419.

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Active Object Tracking (AOT) is crucial to many vision-based applications, e.g., mobile robot, intelligent surveillance. However, there are a number of challenges when deploying active tracking in complex scenarios, e.g., target is frequently occluded by obstacles. In this paper, we extend the single-camera AOT to a multi-camera setting, where cameras tracking a target in a collaborative fashion. To achieve effective collaboration among cameras, we propose a novel Pose-Assisted Multi-Camera Collaboration System, which enables a camera to cooperate with the others by sharing camera poses for ac

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Andleeb, Saiqa, Wajid Arshad Abbasi, Rozina Ghulam Mustafa, et al. "ESIDE: A computationally intelligent method to identify earthworm species (E. fetida) from digital images: Application in taxonomy." PLOS ONE 16, no. 9 (2021): e0255674. http://dx.doi.org/10.1371/journal.pone.0255674.

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Earthworms (Crassiclitellata) being ecosystem engineers significantly affect the physical, chemical, and biological properties of the soil by recycling organic material, increasing nutrient availability, and improving soil structure. The efficiency of earthworms in ecology varies along with species. Therefore, the role of taxonomy in earthworm study is significant. The taxonomy of earthworms cannot reliably be established through morphological characteristics because the small and simple body plan of the earthworm does not have anatomical complex and highly specialized structures. Recently, mo

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Ciung, Margaretha Vonita, Istiqomah Istiqomah, and Irham Taufiq. "Pengembangan Media Pembelajaran Matematika Berbasis Google Sites pada Materi Deret Aritmatika." CIRCLE : Jurnal Pendidikan Matematika 2, no. 01 (2022): 41–50. http://dx.doi.org/10.28918/circle.v2i01.5100.

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 Penelitian ini bertujuan untuk mengembangkan media pembelajaran berbasis google sites pada mata pelajaran matematika materi deret aritmatika untuk siswa SMA dan mengetahui kelayakan media berbasis google sites yang dikembangkan. Penelitian ini menggunakan metode R&D dengan model ADDIE yaitu Analysis, Design, Development, Implementation, and evaluation. Subjek penelitian ini adalah 27 siswa kelas XI di SMA Piri 1 Yogyakarta. Teknik pengumpulan data menggunakan angket validasi ahli dan angket respon siswa dengan melakukan uji coba lapangan terbatas. Teknik analisis data berupa analisi

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Trippas, Johanne, David Maxwel, Abdulaziz Alqatan, et al. "Report on the 1st Early Career Researchers' Roundtable for Information Access Research (ECRs4IR 2022) at CHIIR 2022." ACM SIGIR Forum 56, no. 1 (2022): 1–10. http://dx.doi.org/10.1145/3582524.3582533.

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The First Early Career Researchers Roundtable for Information Access Research Workshop , in conjunction with the Seventh ACM Conference on Human Information Interaction and Retrieval (CHIIR) 2022, looked into the future of research, collaborations, and self-development to ask the following. Where are the opportunities for researchers in a (post-)pandemic environment, especially for Early Career Researchers (ECRs)? What do we need to do to get there? Which practical implementations can the broader CHIIR community support? The workshop started with an invited talk. Instead of conventional paper

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DeFazio, David, Yohei Hayamizu, and Shiqi Zhang. "Learning Quadruped Locomotion Policies Using Logical Rules." Proceedings of the International Conference on Automated Planning and Scheduling 34 (May 30, 2024): 142–50. http://dx.doi.org/10.1609/icaps.v34i1.31470.

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Quadruped animals are capable of exhibiting a diverse range of locomotion gaits. While progress has been made in demonstrating such gaits on robots, current methods rely on motion priors, dynamics models, or other forms of extensive manual efforts. People can use natural language to describe dance moves. Could one use a formal language to specify quadruped gaits? To this end, we aim to enable easy gait specification and efficient policy learning. Leveraging Reward Machines (RMs) for high-level gait specification over foot contacts, our approach is called RM-based Locomotion Learning (RMLL), an

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Narang, Yashraj S., Balakumar Sundaralingam, Karl Van Wyk, Arsalan Mousavian, and Dieter Fox. "Interpreting and predicting tactile signals for the SynTouch BioTac." International Journal of Robotics Research 40, no. 12-14 (2021): 1467–87. http://dx.doi.org/10.1177/02783649211047634.

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In the human hand, high-density contact information provided by afferent neurons is essential for many human grasping and manipulation capabilities. In contrast, robotic tactile sensors, including the state-of-the-art SynTouch BioTac, are typically used to provide low-density contact information, such as contact location, center of pressure, and net force. Although useful, these data do not convey or leverage the rich information content that some tactile sensors naturally measure. This research extends robotic tactile sensing beyond reduced-order models through (1) the automated creation of a

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Piscopo, Alessandro, Oana Inel, Sanne Vrijenhoek, Martijn Millecamp, and Krisztian Balog. "Report on the 1st Workshop on Measuring the Quality of Explanations in Recommender Systems (QUARE 2022) at SIGIR 2022." ACM SIGIR Forum 56, no. 2 (2022): 1–16. http://dx.doi.org/10.1145/3582900.3582915.

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Explainable recommenders are systems that explain why an item is recommended, in addition to suggesting relevant items to the users of the system. Although explanations are known to be able to significantly affect a user's decision-making process, significant gaps remain concerning methodologies to evaluate them. This hinders cross-comparison between explainable recommendation approaches and is one of the issues hampering the widespread adoption of explanations in industry settings. The goal of QUARE '22 was to promote discussion upon future research and practice directions around evaluation m

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Zhang, Linrui, Qin Zhang, Li Shen, Bo Yuan, Xueqian Wang, and Dacheng Tao. "Evaluating Model-Free Reinforcement Learning toward Safety-Critical Tasks." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 12 (2023): 15313–21. http://dx.doi.org/10.1609/aaai.v37i12.26786.

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Safety comes first in many real-world applications involving autonomous agents. Despite a large number of reinforcement learning (RL) methods focusing on safety-critical tasks, there is still a lack of high-quality evaluation of those algorithms that adheres to safety constraints at each decision step under complex and unknown dynamics. In this paper, we revisit prior work in this scope from the perspective of state-wise safe RL and categorize them as projection-based, recovery-based, and optimization-based approaches, respectively. Furthermore, we propose Unrolling Safety Layer (USL), a joint

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Alhinti, Lubna, Stuart Cunningham, and Heidi Christensen. "The Dysarthric Expressed Emotional Database (DEED): An audio-visual database in British English." PLOS ONE 18, no. 8 (2023): e0287971. http://dx.doi.org/10.1371/journal.pone.0287971.

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The Dysarthric Expressed Emotional Database (DEED) is a novel, parallel multimodal (audio-visual) database of dysarthric and typical emotional speech in British English which is a first of its kind. It is an induced (elicited) emotional database that includes speech recorded in the six basic emotions: “happiness”, “sadness”, “anger”, “surprise”, “fear”, and “disgust”. A “neutral” state has also been recorded as a baseline condition. The dysarthric speech part includes recordings from 4 speakers: one female speaker with dysarthria due to cerebral palsy and 3 speakers with dysarthria due to Park

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Chen, Jiayu, Zelai Xu, Yunfei Li, et al. "Accelerate Multi-Agent Reinforcement Learning in Zero-Sum Games with Subgame Curriculum Learning." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 10 (2024): 11320–28. http://dx.doi.org/10.1609/aaai.v38i10.29011.

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Learning Nash equilibrium (NE) in complex zero-sum games with multi-agent reinforcement learning (MARL) can be extremely computationally expensive. Curriculum learning is an effective way to accelerate learning, but an under-explored dimension for generating a curriculum is the difficulty-to-learn of the subgames –games induced by starting from a specific state. In this work, we present a novel subgame curriculum learning framework for zero-sum games. It adopts an adaptive initial state distribution by resetting agents to some previously visited states where they can quickly learn to improve p

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Aini, Windra, Darmayasa Darmayasa, Ruth Rinda, et al. "Website learning media to enhance planning tour packages competencies: A case study from Makassar Tourism Polytechnic, Indonesia." Jurnal Pendidikan Geografi: Kajian, Teori, dan Praktek dalam Bidang Pendidikan dan Ilmu Geografi 29, no. 1 (2024): 43. http://dx.doi.org/10.17977/um017v29i12024p43-59.

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This research aims to develop website-based learning media on tourism package planning competency and report its feasibility. In particular, this study aims to address the challenges posed by the COVID-19 pandemic, which has made it difficult to conduct field trips or study tours, a crucial component of the travel business study program at Politeknik Pariwisata Makassar. The research addopted a research and development (R&D) approach with the ADDIE model, as well as involving the material experts and media experts in the media assessments. Learning media trials were conducted in small grou

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Hsu, Kai-Chieh, Allen Z. Ren, Duy P. Nguyen, Anirudha Majumdar, and Jaime F. Fisac. "Sim-to-Lab-to-Real: Safe Reinforcement Learning with Shielding and Generalization Guarantees (Abstract Reprint)." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 20 (2024): 22699. http://dx.doi.org/10.1609/aaai.v38i20.30599.

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Safety is a critical component of autonomous systems and remains a challenge for learning-based policies to be utilized in the real world. In particular, policies learned using reinforcement learning often fail to generalize to novel environments due to unsafe behavior. In this paper, we propose Sim-to-Lab-to-Real to bridge the reality gap with a probabilistically guaranteed safety-aware policy distribution. To improve safety, we apply a dual policy setup where a performance policy is trained using the cumulative task reward and a backup (safety) policy is trained by solving the Safety Bellman

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Yue, Lori Qingyuan, Jiexin Zheng, and Kaixian Mao. "Firms’ Rhetorical Nationalism: Theory, Measurement, and Evidence from a Computational Analysis of Chinese Public Firms." Management and Organization Review 20, no. 2 (2024): 161–203. http://dx.doi.org/10.1017/mor.2024.6.

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AbstractIn this article, we develop a computational measure of firm-level rhetorical nationalism. We first review the literature and develop a four-dimensional theoretical framework of nationalism relevant to firms: national pride, anti-foreign, dominant agenda (national revival), and corporate role. We then use machine-learning-based text analysis of over 41,000 annual reports of Chinese public firms from 2000 to 2020 and identify a dictionary of words for each dimension. Using a weighted ratio of nationalism-related words, we describe the overall picture of Chinese public firms’ rhetorical n

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Song, Yuhang, Andrzej Wojcicki, Thomas Lukasiewicz, et al. "Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 05 (2020): 7253–60. http://dx.doi.org/10.1609/aaai.v34i05.6216.

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Learning agents that are not only capable of taking tests, but also innovating is becoming a hot topic in AI. One of the most promising paths towards this vision is multi-agent learning, where agents act as the environment for each other, and improving each agent means proposing new problems for others. However, existing evaluation platforms are either not compatible with multi-agent settings, or limited to a specific game. That is, there is not yet a general evaluation platform for research on multi-agent intelligence. To this end, we introduce Arena, a general evaluation platform for multi-a

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Casser, Vincent, Soeren Pirk, Reza Mahjourian, and Anelia Angelova. "Depth Prediction without the Sensors: Leveraging Structure for Unsupervised Learning from Monocular Videos." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 8001–8. http://dx.doi.org/10.1609/aaai.v33i01.33018001.

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Learning to predict scene depth from RGB inputs is a challenging task both for indoor and outdoor robot navigation. In this work we address unsupervised learning of scene depth and robot ego-motion where supervision is provided by monocular videos, as cameras are the cheapest, least restrictive and most ubiquitous sensor for robotics. Previous work in unsupervised image-to-depth learning has established strong baselines in the domain. We propose a novel approach which produces higher quality results, is able to model moving objects and is shown to transfer across data domains, e.g. from

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Bian, Yuanyuan, Chong He, Jie Hou, Jianlin Cheng, and Jing Qiu. "PairedFB: a full hierarchical Bayesian model for paired RNA-seq data with heterogeneous treatment effects." Bioinformatics 35, no. 5 (2018): 787–97. http://dx.doi.org/10.1093/bioinformatics/bty731.

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Abstract Motivation Several methods have been proposed for the paired RNA-seq analysis. However, many of them do not consider the heterogeneity in treatment effect among pairs that can naturally arise in real data. In addition, it has been reported in literature that the false discovery rate (FDR) control of some popular methods has been problematic. In this paper, we present a full hierarchical Bayesian model for the paired RNA-seq count data that accounts for variation of treatment effects among pairs and controls the FDR through the posterior expected FDR. Results Our simulation studies sho

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Kim, Daehan, Minseok Seo, Kwanyong Park, et al. "Bidirectional Domain Mixup for Domain Adaptive Semantic Segmentation." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 1 (2023): 1114–23. http://dx.doi.org/10.1609/aaai.v37i1.25193.

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Mixup provides interpolated training samples and allows the model to obtain smoother decision boundaries for better generalization. The idea can be naturally applied to the domain adaptation task, where we can mix the source and target samples to obtain domain-mixed samples for better adaptation. However, the extension of the idea from classification to segmentation (i.e., structured output) is nontrivial. This paper systematically studies the impact of mixup under the domain adaptive semantic segmentation task and presents a simple yet effective mixup strategy called Bidirectional Domain Mixu

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Micev, Kire, Jan Steiner, Asude Aydin, Jörg Rieckermann, and Tobi Delbruck. "Measuring diameters and velocities of artificial raindrops with a neuromorphic event camera." Atmospheric Measurement Techniques 17, no. 1 (2024): 335–57. http://dx.doi.org/10.5194/amt-17-335-2024.

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Abstract. Hydrometers that measure size and velocity distributions of precipitation are needed for research and corrections of rainfall estimates from weather radars and microwave links. Existing optical disdrometers measure droplet size distributions, but underestimate small raindrops and are impractical for widespread always-on IoT deployment. We study the feasibility of measuring droplet size and velocity using a neuromorphic event camera. These dynamic vision sensors asynchronously output a sparse stream of pixel brightness changes. Droplets falling through the plane of focus of a steeply

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Abbasi, Wajid Arshad, Syed Ali Abbas, and Saiqa Andleeb. "PANDA: Predicting the change in proteins binding affinity upon mutations by finding a signal in primary structures." Journal of Bioinformatics and Computational Biology 19, no. 04 (2021): 2150015. http://dx.doi.org/10.1142/s0219720021500153.

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Accurately determining a change in protein binding affinity upon mutations is important to find novel therapeutics and to assist mutagenesis studies. Determination of change in binding affinity upon mutations requires sophisticated, expensive, and time-consuming wet-lab experiments that can be supported with computational methods. Most of the available computational prediction techniques depend upon protein structures that bound their applicability to only protein complexes with recognized 3D structures. In this work, we explore the sequence-based prediction of change in protein binding affini

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De Smedt, Sofie, Ann Bogaerts, Quentin Groom, and Henry Engledow. "Botanicalcollections.be: The New Virtual Herbarium of Meise Botanic Garden (BR)." Biodiversity Information Science and Standards 2 (June 13, 2018): e26140. http://dx.doi.org/10.3897/biss.2.26140.

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The botanicalcollections.be website (http://www.botanicalcollections.be) is the culmination of the three year Digitale Ontsluiting Erfgoedcollecties (DOE!) project. Over this period we have digitally imaged 1.2 million African and Belgian herbarium specimens and much of their label data. All these data are freely available on our new virtual herbarium www.botanicalcollections.be. For this we have to thank a generous grant from the Flemish Government. The site was officially launched on the 23rd March, 2018, at the Fourth Annual Meeting of Plant Ecology and Evolution held at Bouchout Castle in

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Кононец, Н. В. "РОЛЬ ІНФОРМАЦІЙНО-ОСВІТНЬОГО СЕРЕДОВИЩА ЗАКЛАДУ ВИЩОЇ ОСВІТИ ПРИ РЕСУРСНО-ОРІЄНТОВАНОМУ НАВЧАННІ СТУДЕНТІВ У ВИЩІЙ ШКОЛІ". Засоби навчальної та науково-дослідної роботи, № 51 (2018): 31–45. http://dx.doi.org/10.34142/2312-1548.2018.51.03.

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У статті автор розкриває роль інформаційно-освітнього середовища закладу вищої освіти при ресурсно-орієнтованому навчанні студентів у вищій школі. Інформаційно-освітнє середовище закладу вищої освіти як дидактична основа ресурсно-орієнтованого навчання студентів у вищій школі представлене як педагогічна система, що об’єднує в собі інформаційні освітні ресурси, комп’ютерні засоби навчання, засоби управління навчальним процесом, педагогічні прийоми, методи і технології, направлені на формування інтелектуально-розвиненої соціально-значущої творчої особистості, що володіє необхідним рівнем професі

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Wright, Kath, Julie Glanville, and Carol Lefebvre. "VP195 Using The ISSG Search Filter Resource In Health Technology Assessment." International Journal of Technology Assessment in Health Care 33, S1 (2017): 240. http://dx.doi.org/10.1017/s0266462317004226.

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INTRODUCTION:Information specialists and others searching for Health Technology Assessments (HTAs) can use the ISSG Search Filter resource (SFR) to identify filters to incorporate into search strategies. This can save time and effort when designing searches and create more efficient searches that retrieve fewer and possibly more relevant database records (link available here: https://sites.google.com/a/york.ac.uk/issg-search-filters-resource/home).What are search filters? Search filters are collections of search terms designed to retrieve selections of records from bibliographic databases. Som

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Li, Yang, Shao Zhang, Jichen Sun, et al. "Tackling Cooperative Incompatibility for Zero-Shot Human-AI Coordination." Journal of Artificial Intelligence Research 80 (July 23, 2024): 1139–85. http://dx.doi.org/10.1613/jair.1.15884.

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Securing coordination between AI agent and teammates (human players or AI agents) in contexts involving unfamiliar humans continues to pose a significant challenge in Zero-Shot Coordination. The issue of cooperative incompatibility becomes particularly prominent when an AI agent is unsuccessful in synchronizing with certain previously unknown partners. Traditional algorithms have aimed to collaborate with partners by optimizing fixed objectives within a population, fostering diversity in strategies and behaviors. However, these techniques may lead to learning loss and an inability to cooperate

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Magro, Bianca, Valentina Zuccaro, Luca Novelli, et al. "Predicting in-hospital mortality from Coronavirus Disease 2019: A simple validated app for clinical use." PLOS ONE 16, no. 1 (2021): e0245281. http://dx.doi.org/10.1371/journal.pone.0245281.

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Backgrounds Validated tools for predicting individual in-hospital mortality of COVID-19 are lacking. We aimed to develop and to validate a simple clinical prediction rule for early identification of in-hospital mortality of patients with COVID-19. Methods and findings We enrolled 2191 consecutive hospitalized patients with COVID-19 from three Italian dedicated units (derivation cohort: 1810 consecutive patients from Bergamo and Pavia units; validation cohort: 381 consecutive patients from Rome unit). The outcome was in-hospital mortality. Fine and Gray competing risks multivariate model (with

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Calhoun, Karen, Tabia Akintobi, Al Richmond, N. Glassman, Rosanna Barrett, and Hal Strelnick. "283 Progress in Community Health Partnerships Writing, Dissemination and Reviewer Learning Community for Community-Patient Authors and Reviewers (henceforth, PCHP LC)." Journal of Clinical and Translational Science 8, s1 (2024): 86–87. http://dx.doi.org/10.1017/cts.2024.259.

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OBJECTIVES/GOALS: The peer-reviewed journal Progress in Community Health Partnerships (PCHP) promotes health research partnerships to improve community health. PCHP’s Writing, Dissemination and Reviewer Learning Community Pilot aims to increase stakeholders writing and reviewing for greater relevance and diversity. METHODS/STUDY POPULATION: Led by PCHP’s Editorial Team, Morehouse SOM, Community-Campus Partnerships for Health (CCPH) and a community-academic Workgroup, the LC will guide stakeholders on scholarly writing and publish collaborative research. It builds on the 2017 Writing/Disseminat

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Evdokimov, V. I., V. I. Sibirko, S. G. Shapovalov, Yu R. Yunusova, and V. A. Martynov. "Assessment of fire risks in Russian Federation in general and its megacities using the example of Moscow and St. Petersburg, 2009–2021." Disaster Medicine, no. 3 (September 2023): 19–23. http://dx.doi.org/10.33266/2070-1004-2023-3-19-23.

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Summary. The purpose of the study is, in connection with the change in the procedure for statistical recording of fires, to assess their health consequences in the Russian Federation as a whole and its megacities using the example of Moscow and St. Petersburg for 13 years (2009–2021). Materials and methods of research. Data on the number of fires was taken from the Federal Database “Fires” [https://sites.google.com/site/statistikapozaro/]; population size – on the Rosstat website [https://rosstat.gov.ru/]. Retrospectively, fire statistics since 2009 have included fires. The results of the stud

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Міyer, Тetiana І., Larysa S. Holodiuk, and Valentyn О. Savosh. "PREVENTING THE PRE-SICK CONDITIONS OF THOSE WHO PRACTICE LIFELONG LEARNING." Wiadomości Lekarskie 74, no. 1 (2021): 107–11. http://dx.doi.org/10.36740/wlek202101121.

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The aim: Disclosure of the results of the study of the expediency of considering the fluidity of mental processes in the triad “organism – personality Disclosure of the results of the study of the expediency of considering the fluidity of mental processes in the triad “organism – personality – environment” and the alternate stages of the dynamics of performance to prevent the occurrence of pre-painful conditions in students, combining professional activity with formal education. Materials and methods: The complex of research methods is used in the work: general scientific (analysis, synthesis,

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Palukuri, Meghana Venkata, and Edward M. Marcotte. "Super.Complex: A supervised machine learning pipeline for molecular complex detection in protein-interaction networks." PLOS ONE 16, no. 12 (2021): e0262056. http://dx.doi.org/10.1371/journal.pone.0262056.

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Characterization of protein complexes, i.e. sets of proteins assembling into a single larger physical entity, is important, as such assemblies play many essential roles in cells such as gene regulation. From networks of protein-protein interactions, potential protein complexes can be identified computationally through the application of community detection methods, which flag groups of entities interacting with each other in certain patterns. Most community detection algorithms tend to be unsupervised and assume that communities are dense network subgraphs, which is not always true, as protein

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Singh, Abhay. "Quantifying unmeasured confounding in three epidemiological studies associating myelodysplastic syndromes (MDS) with cardiovascular disease (CVD)." Journal of Clinical Oncology 38, no. 15_suppl (2020): e19532-e19532. http://dx.doi.org/10.1200/jco.2020.38.15_suppl.e19532.

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e19532 Background: Confounding occurs when an investigator studies the effect of an exposure on the occurrence of an outcome, but in the process measures the effect of another factor (a confounding variable). Knowledge of possible causal pathways assists an investigator to minimize confounding, but despite utmost attempts, errors are frequent. To assess role of a possible confounder (smoking), data from 3 studies (1. Herrera at al. 2019 2. Goldberg et al. 2010 and 3. Brunner et al. 2017) associating MDS (exposure) with CVD (outcome) was used to conduct sensitivity analysis. Methods: 2 x 2 tabl

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