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Letteratura scientifica selezionata sul tema "Sites.google.com"

Autore: Grafiati

Pubblicato: 29 luglio 2024

Ultima modifica: 30 luglio 2024

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Articoli di riviste sul tema "Sites.google.com"

1

Lapinskas, Remigijus. "sites.google.com/view/Lapinskas – Mathematical readings". Lietuvos matematikos rinkinys 64 (20 novembre 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, n. 3 (28 maggio 2010): 317–18. http://dx.doi.org/10.1080/07317131003769433.

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3

Bongiorno, Enea G., Alessandra Micheletti, Giovanni Naldi e Davide La Torre. "SHAPE AND SIZE IN MEDICINE, BIOTECHNOLOGY, MATERIALS SCIENCE AND SOCIAL SCIENCES". Image Analysis & Stereology 30, n. 3 (1 novembre 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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4

Bibee, Abigail. "Resource Description and Access Happy Fun Time Companion http://sites.google.com/site/codlinandshort/". Technical Services Quarterly 28, n. 3 (19 maggio 2011): 367–68. http://dx.doi.org/10.1080/07317131.2011.574549.

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5

Putri, Evi Ananda, Yulia Linguistika e 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, n. 2 (30 novembre 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 (very valid), the percentage of teachers is 91.67 percent (very valid), and the student attractiveness test results are 93 percent (very good). So it was concluded that the mathion card media product was valid according to the experts and interesting for fourth grade students.Penelitian pengembangan ini bertujuan untuk menghasilkan media kartu soal berbasis google sites materi KPK dan FPB kelas IV Sekolah Dasar yang valid dan menarik bagi siswa. Model penelitian menggunakan model ADDIE dengan lima tahap pengembangan meliputi: (1) analisis, (2) desain, (3) pengembangan, (4) implementasi, dan (5) evaluasi. Produk berupa link website (https://sites.google.com/view/media-mathion-card/halaman-muka) yang secara online. Berdasarkan hasil validasi, persentase ahli materi 85 persen (valid), persentase ahli media 96,67 persen (sangat valid), persentase guru 91,67 persen (sangat valid), dan hasil uji kemenarikan siswa sebesar 93 persen (sangat baik). Sehingga disimpulkan bahwa produk media mathion card valid menurut para ahli serta menarik bagi siswa kelas IV.

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Sitarz, Sebastian, e 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, sensitivity analysis, computer software.

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Pont, Frédéric, Marie Tosolini e Jean J. Fournié. "Single-Cell Signature Explorer for comprehensive visualization of single cell signatures across scRNA-seq datasets". Nucleic Acids Research 47, n. 21 (11 luglio 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 pathways in large scRNAseq datasets of human PBMC, melanoma, lung cancer and adult testis.

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Alami, Z., L. Idelkheir, I. Zine-Eddine, El Atiqi, Y. Lmaalla, O. Aitbelassel, Laamrani a e Y. Benchamkha. "PORTE FOLIO DES COMPETENCES PRATIQUES DU RESIDENT EN CHIRURGIE PLASTIQUE AU MAROC". International Journal of Advanced Research 12, n. 03 (31 marzo 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 plastic surgery. We hope this educational tool will find its rightful place in the training of plastic surgery residents.

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Ghosh, Saptarshi, Kripabandhu Ghosh, Debasis Ganguly, Arnab Bhattacharya, Partha Pratim Chakrabarti, Shouvik Guha, Arindam Pal et al. "Report on the 2nd Symposium on Artificial Intelligence and Law (SAIL) 2022". ACM SIGIR Forum 56, n. 1 (giugno 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 deliver talks at this symposium. Date: 6--9 June, 2022. Website: https://sites.google.com/view/sail-2022/.

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Danese, Anthony. "A Gauss’s Law Computer Simulation in GlowScript". Physics Teacher 60, n. 5 (maggio 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 simulation can be used as part of a quantitative virtual laboratory to develop a student’s intuition for electric flux and Gauss’s law. The simulation can be accessed at https://sites.google.com/view/gauss/home .

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Più fonti

Tesi sul tema "Sites.google.com"

1

Chin-Ortiz, Shi-Ming Peggy. "Polyamrous attitudes/lifestyle and interactional qualities of the primary relationship /". Connect to CIFA website:, 2008. http://sites.google.com/site/californiainventoryforfamilyassessment/Home.

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White, Lisa Wolk. "Parent-child relationships in families with intellectually gifted children /". Connect to CIFA website:, 2009. http://sites.google.com/site/californiainventoryforfamilyassessment/Home.

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Libri sul tema "Sites.google.com"

1

Why Software Testing. Rohan, 2022.

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Capitoli di libri sul tema "Sites.google.com"

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Andò, Romana, Samuele Briatore e Gianni Denaro. "Rethinking Fashion Storytelling Through Digital Archives and Immersive Museum Experiences". In Fashion Communication in the Digital Age, 279–89. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-38541-4_26.

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AbstractThe Italian fashion system is represented by a wide and valuable heritage that needs to be properly preserved and experienced by everybody, from fashion students to scholars, artisans and designers, etc. Although in the last decades there have been many attempts to create a museum dedicated specifically to Italian fashion, in the end, institutions or museums have not been able to carry out a valuable and accomplished project. One fundamental reason is represented by the Italian specificities in terms of the fashion-industry evolution and, more in general, by the complexity of the fashion system which has been built and continues to grow at the crossroads between different experiences, practices, and relations. As such, it has been studied from diverse disciplines and approaches ranging from art to design, from economics to sociology of culture, and so on. Moreover, when considering both the intangible and tangible fashion heritage, gathering them in order to preserve and share them becomes extremely difficult. The challenge is therefore to understand how to collect, preserve, and enjoy this heritage, combining the cultural pluralism of local traditions and their products, together with the creativity of artists and designers and the economic aspects of the industry, relating them all with the cultural and social features of everyday life-fashion. The aim of this paper is to address these issues starting from the preliminary reflections of the PNRR project (Piano Nazionale di Ripresa e Resilienza, National Recovery and Resilience Plan) “Cultural heritage active innovation for next-gen sustainable society”, (CHANGES aims at promoting interdisciplinary research and inter-sectorial synergies to support the development of innovative long-term strategies for the interpretation, understanding, conservation, and valorization of tangible and intangible cultural heritage. The extended partnership is composed of 11 Universities, 4 Research Institutions, 3 Advanced Studies Schools, 6 Companies, and 1 Center of Excellence (see https://sites.google.com/uniroma1.it/changes/home).) in order to discuss in detail the Spoke 2, “Creativity and Intangible Heritage” thematic line on fashion preservation and its musealization as developed by the authors of this essay.

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Yingsoon, Goh Ying. "Using AI Technology to Support Speaking Skill Development for the Teaching of Chinese as a Foreign Language". In Multidisciplinary Functions of Blockchain Technology in AI and IoT Applications, 209–27. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-5876-8.ch010.

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The teaching of Chinese as a foreign language can be supported by using AI technology. Traditionally, the non-native learners can only interact with the instructors and depend on them solely for speaking practices. However, with the advancement of AI technology, the learners can use AI technology for interactive speaking skill development. In this study, the learners were instructed to download an application at https://m.wandoujia.com/apps/6790950. The process on the preparation of this AI technology in supporting their speaking skill development can be accessed at https://sites.google.com/site/gohyi141/assignments/projectinteractivespeakingapp. By using this AI technology, the findings showed a tremendous affirmative responses pertaining to the use of this AI technology. Hence, AI technology should be encouraged in active utilization for the teaching of Chinese as a foreign language in particular and for all language speaking skill development in general.

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Atti di convegni sul tema "Sites.google.com"

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Pang, Guansong, Longbing Cao, Ling Chen e Huan Liu. "Learning Homophily Couplings from Non-IID Data for Joint Feature Selection and Noise-Resilient Outlier Detection". In Twenty-Sixth International Joint Conference on Artificial Intelligence. California: International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/360.

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This paper introduces a novel wrapper-based outlier detection framework (WrapperOD) and its instance (HOUR) for identifying outliers in noisy data (i.e., data with noisy features) with strong couplings between outlying behaviors. Existing subspace or feature selection-based methods are significantly challenged by such data, as their search of feature subset(s) is independent of outlier scoring and thus can be misled by noisy features. In contrast, HOUR takes a wrapper approach to iteratively optimize the feature subset selection and outlier scoring using a top-k outlier ranking evaluation measure as its objective function. HOUR learns homophily couplings between outlying behaviors (i.e., abnormal behaviors are not independent - they bond together) in constructing a noise-resilient outlier scoring function to produce a reliable outlier ranking in each iteration. We show that HOUR (i) retains a 2-approximation outlier ranking to the optimal one; and (ii) significantly outperforms five state-of-the-art competitors on 15 real-world data sets with different noise levels in terms of AUC and/or P@n. The source code of HOUR is available at https://sites.google.com/site/gspangsite/sourcecode.

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Fang, Hao, Ajian Liu, Haocheng Yuan, Junze Zheng, Dingheng Zeng, Yanhong Liu, Jiankang Deng et al. "Unified Physical-Digital Face Attack Detection". In Thirty-Third International Joint Conference on Artificial Intelligence {IJCAI-24}. California: International Joint Conferences on Artificial Intelligence Organization, 2024. http://dx.doi.org/10.24963/ijcai.2024/83.

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Face Recognition (FR) systems can suffer from physical (i.e., print photo) and digital (i.e., DeepFake) attacks. However, previous related work rarely considers both situations at the same time. This implies the deployment of multiple models and thus more computational burden. The main reasons for this lack of an integrated model are caused by two factors: (1) The lack of a dataset including both physical and digital attacks which the same ID covers the real face and all attack types; (2) Given the large intra-class variance between these two attacks, it is difficult to learn a compact feature space to detect both attacks simultaneously. To address these issues, we collect a Unified physical-digital Attack dataset, called UniAttackData. The dataset consists of 1,800 participations of 2 and 12 physical and digital attacks, respectively, resulting in a total of 28,706 videos. Then, we propose a Unified Attack Detection framework based on Vision-Language Models (VLMs), namely UniAttackDetection, which includes three main modules: the Teacher-Student Prompts (TSP) module, focused on acquiring unified and specific knowledge respectively; the Unified Knowledge Mining (UKM) module, designed to capture a comprehensive feature space; and the Sample-Level Prompt Interaction (SLPI) module, aimed at grasping sample-level semantics. These three modules seamlessly form a robust unified attack detection framework. Extensive experiments on UniAttackData and three other datasets demonstrate the superiority of our approach for unified face attack detection. Dataset link: https://sites.google.com/view/face-anti-spoofing-challenge/dataset-download/uniattackdatacvpr2024

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