Competenze per tutti by Elena Liliana Vitti, Margherita Maria Sacco, Alberto Parola

“…La metodologia didattica implementata è stata creata appositamente per il Progetto ed è incentrata su quattro pratiche pedagogiche: 1) Cooperative Learning, 2) Think-Make-Improve, 3) utilizzo del metodo scientifico tradizionale per stimolare la motivazione all’apprendimento, 4) Competenze Mediali come obiettivi trasversali. …”
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Un approccio ecologico-culturale per definire il Mobile Learning by Giuseppe De Simone

“… Al giorno d'oggi, il Mobile Learning è spesso considerato come un modo possibile per creare ambienti di apprendimento virtuali e offre molte opportunità per produrre e condividere contenuti multimediali e promuovere l'educazione a distanza. …”
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The lessons learned from emerging and “eternal” pollutants in groundwater: per- and polyfluoroalkyl substances by Giovanni Pietro Beretta

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More buck-per-shot: Why learning trumps mitigation in noisy quantum sensing by Aroosa Ijaz, C. Huerta Alderete, Frédéric Sauvage, Lukasz Cincio, M. Cerezo, Matthew L. Goh

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Cluster Analysis of Per Capita Gross Domestic Products by Michael C. Thrun

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Intelligent Resource Allocation via Hybrid Reinforcement Learning in 5G Network Slicing by Zahraa Zakariya Saleh, Maysam F. Abbod, Rajagopal Nilavalan

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Soluzioni di Machine Learning per il Patrimonio Culturale. Il progetto ArtI4EO. by Nais Solutions

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One Laptop per Child and its Implications for the Process of Written Language Learning: A Case Study in Brazil by Silvia de Oliveira Kist, Marie Jane Soares Carvalho, Juliano de Vargas Bittencourt

“…This is a case study on the reading and writing practices of six year old children engaged in the daily use of digital technology, conducted in a public school in Porto Alegre (RS/Brazil) and made possible by the One Laptop per Child (OLPC) project. Its aim was to investigate the practices carried out by students and the possibilities and conditions under which the computer can become a tool that enables them to enter the “literate world”. …”
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Protein allosteric site identification using machine learning and per amino acid residue reported internal protein nanoenvironment descriptors by Folorunsho Bright Omage, José Augusto Salim, Ivan Mazoni, Inácio Henrique Yano, Luiz Borro, Jorge Enrique Hernández Gonzalez, Fabio Rogerio de Moraes, Poliana Fernanda Giachetto, Ljubica Tasic, Raghuvir Krishnaswamy Arni, Goran Neshich

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Predicting per capita expenditure using satellite imagery and transfer learning: A case study of east Java province, Indonesia by Heri Kuswanto, Wahidatul Wardah Al Maulidiyah, Widhianingsih Tintrim Dwi Ary, Yudistira Ashadi

“…This research compares day and night satellite images to predict per capita expenditure in East Java, Indonesia, which has the highest number of poor people. …”
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Transfer Learning Estimation and Transferability of LNC and LMA Across Different Datasets by Yingbo Wang, Mengzhu He, Lin Sun, Yong He, Zengwei Zheng

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Domain-Adaptive and Per-Fraction Guided Deep Learning Framework for Magnetic Resonance Imaging-Based Segmentation of Organs at Risk in Gynecologic Cancers by Reza Kalantar, PhD, Manasi Ingle, FRCR, Romelie Rieu, BA, BmBCh, Sebastian Curcean, MD, Jessica Mary Winfield, PhD, Gigin Lin, MD, PhD, Christina Messiou, MD, MRCP, FRCR, Susan Lalondrelle, FRCR, Dow-Mu Koh, MD, FRCP, FRCR, Matthew David Blackledge, PhD

“…In addition, we employed per-fraction adaptation to enhance anatomical conformity guided by prior treatment fractions of individual patients. …”
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Contributions of the Rural Education Project (PER) by Kenneth Alfredo Cubillo-Jiménez, Urania María Chaves-Murillo

“…The objective of our research was to collect the contributions of PER bearing in mind the training processes required today, and considering the success of PER, which was based on the leadership of teachers to promote community progress in rural areas from the classroom, an input to be considered in the new learning processes of Rural Education…”
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Hysterectomy rates per resident in final year of training in teaching hospitals: an ecologic study by Luiza Nestori Chiozzotto, Nino José Wilson Moterani Júnior, Laura Bresciani Bento Gonçalves Moterani, Vinicius César Moterani, Francisco José Candido dos Reis

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Decoding per- and polyfluoroalkyl substances (PFAS) in hepatocellular carcinoma: a multi-omics and computational toxicology approach by Yanggang Hong, Deqi Wang, Zeyu Liu, Yuxin Chen, Yi Wang, Jiajun Li

“…Abstract Background Per- and polyfluoroalkyl substances (PFAS), particularly perfluorooctanoic acid (PFOA) and perfluorooctane sulfonate (PFOS), are synthetic chemicals known for their widespread use and environmental persistence. …”
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Il Movimento di Avanguardie Educative: un modello per la governance dell’innovazione della scuola. by Elisabetta Mughini

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Ecological risks of PFAS in China’s surface water: A machine learning approach by Xinmiao Huang, Huijuan Wang, Xiaoyong Song, Zilin Han, Yilan Shu, Jiaheng Wu, Xiaohui Luo, Xiaowei Zheng, Zhengqiu Fan

“…The persistence of per- and polyfluoroalkyl substances (PFAS) in surface water can pose risks to ecosystems, while due to data limitations, the occurrence, risks, and future trends of PFAS at large scales remain unknown. …”
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Mentalità sostenibile e transizione ecologica: pilastri teorici e didattica per la scuola primaria e secondaria by Giuseppe De Simone, Maria Teresa Corrado

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Interpretable Machine Learning Models and Symbolic Regressions Reveal Transfer of Per- and Polyfluoroalkyl Substances (PFASs) in Plants: A New Small-Data Machine Learning Method to Augment Data and Obtain Predictive Equations by Yuan Zhang, Yanting Li, Yang Li, Lin Zhao, Yongkui Yang

“…Machine learning (ML) techniques are becoming increasingly valuable for modeling the transport of pollutants in plant systems. …”
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Il contributo dell’intelligenza artificiale per la qualificazione dei processi di istruzione 1 by Nazarena Patrizi, Angelo Girolami, Claudia Crescenzi

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