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The Online Test application uses Telegram Bots Version 1.0

Journal of Physics: Conference Series 2020年第2期1569卷

作者： Rizky Parlika Arista Pratama Informatics Engineering Study Program Faculty of Computer Science Information Systems Study Program Faculty of Computer Science National Development University 'Veteran' East Java Raya Rungkut Madya Road Gunung Anyar Surabaya

The development of the smartphones that rapidly increasing, and high smartphone Users as a tool to make a lot of information, make emergence of instant messaging applications with a variety of options for use. Telegram, as one of the instant messaging application that is fairly new, offering in its various features compared to other instant messaging applications, so it can grow rapidly and much in demand in only 2 years. One of the interesting features is the Bot telegram, a special account without number that can handle Command from the User and gives answers appropriate to Command functionality. The account serves as the interface of the running system that communicate via Telegram Bot API. This study seeks to build a Bot telegram with database to built The Online Test application uses Telegram Bots Version 1.0. In each lecture meeting, a Lecturer can make a short test in the form of multiple choices to review the material at the previous meeting and get information about what percentage of students understand the material that has been taught before. We can use the application to send realtime messages to facilitate the test. Of course, which supports the creation of bots easily to add features that did not yet exist. Of the many we chose Telegram to be an online test environment by utilizing the Bot creation facilities provided by Telegram. This article will be a guide that makes it easier for lecturers to give a simple test at the beginning of the meeting, so that they can attract students' daily grades. And in order to be more interactive there are features of student value progress reports that can also be accessed individually so that students can know the progress of their learning outcomes.

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Utilization of plastic waste processing for oil fuel at Tambaan Beach, Pasuruan City

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IOP Conference Series: Earth and Environmental science 2020年第1期524卷

作者： R Rudianto E Yudaningtyas T D Lelono R D Kasitowati Marine Science Study Program Faculty of Fisheries and Marine Science Universitas Brawijaya Malang Indonesia Department of Electrical Engineering Faculty of Engineering Universitas Brawijaya Malang Indonesia Fisheries Resource Utilization Study Program Faculty of Fisheries and Marine Science Universitas Brawijaya Malang Indonesia

The amount of waste in Indonesia is estimated to reach 68 million tons in 2019, of which 9.52 million tons is a plastic waste. With this amount, Indonesia is ranked second in the world as the largest producer of plastic waste. One area that suffers from plastic waste is the coastal area. This plastic waste is difficult to decompose and cause environmental problems. Likewise, it happened on the Tambaan coast in Tambaan sub-district, Panggungrejo subdistrict, Pasuruan city. Currently, accumulation of plastic waste is evident throughout the coastal area. The accumulation of scattered plastic waste and its proximity to the residents' settlements has become a hotbed of mosquitoes and caused a pungent smell. The Serving Doctoral program at Universitas Brawijaya offers a solution to process plastic waste into fuel oil such as diesel, kerosene, and premium. The technology used was Muryani's distillation from Wlingi, Blitar Regency. The technology can change certain types of plastic waste to produce fuel. Karang Taruna Bina Hang Tuah was acted as a reliable partner to assist the implementation of the technology on site. This study aims to strengthen the capacity of Karangtaruna in Tambaan Village to be more concerned about the environmental problems of Tambaan beach by processing waste that has been polluted by plastic waste. The results of plastic waste treatment showed that 10 kg of dried plastic waste can be transformed into diesel, premium and kerosene with the efficiency value of 60%, 35%, and 15%, respectively.

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Nonlocality in photonic materials and metamaterials: roadmap

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Optical Materials Express 2025年第7期15卷 1544-1709页

作者： Francesco Monticone N Asger Mortensen Antonio I Fernández-Domínguez Yu Luo Xuezhi Zheng Christos Tserkezis Jacob B Khurgin Tigran V Shahbazyan André J Chaves Nuno M R Peres Gino Wegner Kurt Busch Huatian Hu Fabio Della Sala Pu Zhang Cristian Ciracì Javier Aizpurua Antton Babaze Andrei G Borisov Xue-Wen Chen Thomas Christensen Wei Yan Yi Yang Ulrich Hohenester Lorenz Huber Martijn Wubs Simone De Liberato P A D Gonçalves F Javier García de Abajo Ortwin Hess Illya Tarasenko Joel D Cox Line Jelver Eduardo J C Dias Miguel Sánchez Sánchez Dionisios Margetis Guillermo Gómez-Santos Igor M Vasilevskiy Tobias Stauber Sergei Tretyakov Constantin Simovski Samaneh Pakniyat J Sebastián Gómez-Díaz Igor V Bondarev Svend-Age Biehs Alexra Boltasseva Vladimir M Shalaev Alexey V Krasavin Anatoly V Zayats Andrea Alù Jung-Hwan Song Mark L Brongersma Uriel Levy Olivia Y Long Cheng Guo Shanhui Fan Sergey I Bozhevolnyi Adam Overvig Filipa R Prudêncio Mário G Silveirinha S Ali Hassani Gangaraj Christos Argyropoulos Paloma A Huidobro Emanuele Galiffi Fan Yang John B Pendry David A B Miller School of Electrical and Computer Engineering Cornell University Ithaca New York 14853 USA POLIMA—Center for Polariton-driven Light-Matter Interactions University of Southern Denmark Campusvej 55 DK-5230 Odense M Denmark D-IAS—Danish Institute for Advanced Study University of Southern Denmark Campusvej 55 DK-5230 Odense M Denmark Departamento de Física Teórica de la Materia Condensada Universidad Autónoma de Madrid E-28049 Madrid Spain Condensed Matter Physics Center (IFIMAC) Universidad Autónoma de Madrid E-28049 Madrid Spain School of Electrical and Electronic Engineering Nanyang Technological University Singapore 639798 Singapore Key Laboratory of Radar Imaging and Microwave Photonics Ministry of Education College of Electronic and Information Engineering Nanjing University of Aeronautics and Astronautics Nanjing 211106 China WaveCoRE Division Department of Electrical Engineering KU Leuven Leuven B-3001 Belgium Department of Electrical and Computer Engineering Johns Hopkins University Baltimore Maryland 21218 USA Department of Physics Jackson State University Jackson Mississippi 39217 USA Department of Physics Aeronautics Institute of Technology 12228-900 So Jos dos Campos SP Brazil Centro de Física (CF-UM-UP) and Departamento de Física Universidade do Minho P-4710-057 Braga Portugal International Iberian Nanotechnology Laboratory (INL) Av Mestre José Veiga 4715-330 Braga Portugal Max-Born-Institut 12489 Berlin Germany Humboldt-Universität zu Berlin Institut für Physik AG Theoretische Optik and Photonik 12489 Berlin Germany Center for Biomolecular Nanotechnologies Istituto Italiano di Tecnologia Via Barsanti 14 73010 Arnesano Italy Institute for Microelectronics and Microsystems (CNR-IMM) Via Monteroni Campus Unisalento 73100 Lecce Italy School of Physics Huazhong University of Science and Technology Luoyu Road 1037 Wuhan 430074 China Donostia International Physics Center DIPC 20018 Donostia-San Sebastián Spain Ikerbasque Basque Foundation fo

Photonic technologies continue to drive the quest for new optical materials with unprecedented responses. A major frontier in this field is the exploration of nonlocal (spatially dispersive) materials, going beyond the local, wavevector-independent assumption traditionally adopted in optical material modeling. The growing interest in plasmonic, polaritonic, and quantum materials has revealed naturally occurring nonlocalities, emphasizing the need for more accurate models to predict and design their optical responses. This has major implications also for topological, nonreciprocal, and time-varying systems based on these material platforms. Beyond natural materials, artificially structured materials—metamaterials and metasurfaces—can provide even stronger and engineered nonlocal effects, emerging from long-range interactions or multipolar effects. This is a rapidly expanding area in the field of photonic metamaterials, with open frontiers yet to be explored. In metasurfaces, in particular, nonlocality engineering has emerged as a powerful tool for designing strongly wavevector-dependent responses, enabling enhanced wavefront control, spatial compression, multifunctional devices, and wave-based computing. Furthermore, nonlocality and related concepts play a critical role in defining the ultimate limits of what is possible in optics, photonics, and wave physics. This Roadmap aims to survey the most exciting developments in nonlocal photonic materials and metamaterials, highlight new opportunities and open challenges, and chart new pathways that will drive this emerging field forward—toward new scientific discoveries and technological *** by Optica Publishing Group under the terms of the Creative Commons Attribution 4.0 License . Further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation, and DOI.

关键词： Chemical elements Localized surface plasmon resonance Material properties Near field scanning optical microscopy Optical materials Thin films

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Finite element analysis of posterior leaf spring ankle-foot orthosis for tibialis anterior atrophy case

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AIP Conference Proceedings 2022年第1期2663卷

作者： Alfian Pramudita Putra Arief Sofian Hidayat Akif Rahmatillah Pujiyanto Pujiyanto Dinda Cyberputri I. Putu Alit Pawana 1Biomedical Engineering Study Program Department of Physics Faculty of Science and Technology Universitas Airlangga Surabaya Indonesia 2Biomedical Signals and Systems Research Group Faculty of Science and Technology Universitas Airlangga Surabaya Indonesia 3Department of Physics Faculty of Science and Technology Universitas Airlangga Surabaya Indonesia 4Department of Rehabilitation and Physical Medicine Dr. Soetomo General Academic Hospital Surabaya Indonesia

Stroke is a neurological disease and is a significant cause of disability throughout the world. Patients with stroke or post-stroke usually still experience interference in walking in the form of a drop foot caused by atrophy of the anterior tibialis muscle, so they cannot perform dorsiflexion. Drop foot disorders can be treated by rehabilitation using Posterior Leaf Spring Ankle-Foot Orthosis (PLS AFO). PLS AFO has the advantage of a higher level of flexibility compared to other AFO types. The primary purpose of this research is to observe the level of resilience based on the influence of AFO thickness. This study uses the finite element analysis of three model variations in the initial contact, midstance, terminal stance, and calf loading phases. The material used in this study was carbon fiber. The simulation will result in the distribution of stress, strain, and deformation values in each AFO model. The simulation results show that AFO resistance is affected by variations in AFO thickness where the increase in strength is proportional to the increase in AFO thickness. The AFO with a thickness of 10 mm is the most suitable for the tibialis anterior atrophy case.

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Large language models for diabetes training:a prospective study

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science Bulletin 2025年第6期70卷 934-942页

作者： Haoxuan Li Zehua Jiang Zhouyu Guan Yuqian Bao Yuexing Liu Tingting Hu Jiajia Li Ruhan Liu Liang Wu Di Cheng Hongwei Ji Yong Wang Ya-Xing Wang Carol Y.Cheung Yingfeng Zheng Jihong Wang Zhen Li Weibing Wu Cynthia Ciwei Lim Yong Mong Bee Hong Chang Tan Elif I.Ekinci David C.Klonoff Justin B.Echouffo-Tcheugui Nestoras Mathioudakis Leonor Corsino Rafael Simó Charumathi Sabanayagam Gavin Siew Wei Tan Ching-Yu Cheng Tien Yin Wong Huating Li Chun Cai Lijuan Mao Lee-Ling Lim Yih-Chung Tham Bin Sheng Weiping Jia Shanghai University of Sport Shanghai 200438China School of Clinical Medicine Beijing Tsinghua Changgung HospitalTsinghua MedicineTsinghua UniversityBeijing 100084China Beijing Visual Science and Translational Eye Research Institute(BERI) Tsinghua MedicineTsinghua UniversityBeijing 100084China Shanghai Belt and Road International Joint Laboratory of Intelligent Prevention and Treatment for Metabolic Diseases Department of Computer Science and EngineeringSchool of ElectronicInformationand Electrical EngineeringShanghai Jiao Tong UniversityDepartment of Endocrinology and MetabolismShanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of MedicineShanghai Diabetes InstituteShanghai Clinical Center for DiabetesShanghai 200240China MoE Key Lab of Artificial Intelligence Artificial Intelligence InstituteShanghai Jiao Tong UniversityShanghai 200240China Department of Cardiology the Affiliated Hospital of Qingdao UniversityQingdao 266011China CEMS NCMISHCMSMADISAcademy of Mathematics and Systems ScienceChinese Academy of SciencesBeijing 100190China School of Mathematics University of Chinese Academy of SciencesChinese Academy of SciencesBeijing 100049China Key Laboratory of Systems Health Science of Zhejiang Province School of Life ScienceHangzhou Institute for Advanced StudyUniversity of Chinese Academy of SciencesHangzhou 310024China Beijing Institute of Ophthalmology Beijing Tongren HospitalCapital Medical UniversityBeijing Ophthalmology and Visual Sciences Key LaboratoryBeijing 100730China k.Department of Ophthalmology and Visual Sciences The Chinese University of Hong KongHong Kong 999077China State Key Laboratory of Ophthalmology Zhongshan Ophthalmic CenterSun Yat-sen UniversityGuangdong Provincial Key Laboratory of Ophthalmology and Visual ScienceGuangdong Provincial Clinical Research Center for Ocular DiseasesGuangzhou 510060China Department of Renal Medicine Singapore General HospitalSingHealth-Duke Academic Medical CentreSingapore169

Diabetes poses a considerable global health challenge,with varying levels of diabetes knowledge among healthcare professionals,highlighting the importance of diabetes *** Language Models(LLMs)provide new insights into diabetes training,but their performance in diabetes-related queries remains uncertain,especially outside the English language like *** first evaluated the performance of ten LLMs:ChatGPT-3.5,ChatGPT-4.0,Google Bard,LlaMA-7B,LlaMA2-7B,Baidu ERNIE Bot,Ali Tongyi Qianwen,MedGPT,HuatuoGPT,and Chinese LlaMA2-7B on diabetes-related queries,based on the Chinese National Certificate Examination for Primary Diabetes Care in China(NCE-CPDC)and the English Specialty Certificate Examination in Endocrinology and Diabetes of Membership of the Royal College of Physicians of the United ***,we assessed the training of primary care physicians(PCPs)without and with the assistance of ChatGPT-4.0 in the NCE-CPDC examination to ascertain the reliability of LLMs as medical *** found that ChatGPT-4.0 outperformed other LLMs in the English examination,achieving a passing accuracy of 62.50%,which was significantly higher than that of Google Bard,LlaMA-7B,and *** the NCE-CPFC examination,ChatGPT-4.0,Ali Tongyi Qianwen,Baidu ERNIE Bot,Google Bard,MedGPT,and ChatGPT-3.5 successfully passed,whereas LlaMA2-7B,HuatuoGPT,Chinese LLaMA2-7B,and LlaMA-7B ***-4.0(84.82%)surpassed all PCPs and assisted most PCPs in the NCE-CPDC examination(improving by 1%–6.13%).In summary,LLMs demonstrated outstanding competence for diabetes-related questions in both the Chinese and English language,and hold great potential to assist future diabetes training for physicians globally.

关键词： Diabetes Diabetestraining Largelanguagemodels Primarydiabetescare Prospectivestudy

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Human-computer-interface for controlling the assistive technology device

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AIP Conference Proceedings 2020年第1期2314卷

作者： Osmalina Nur Rahma Maydiana Nurul Kurniawati Akif Rahmatillah Khusnul Ain 1Biomedical Engineering Study Program Department of Physics Faculty of Science and Technology Airlangga University Indonesia

Imagining a motion without doing the actual movement is known as Motor imaginary (MI). However, translating MI as an input for BCI that control the Assistive Technology (AT) device was a challenging method due to the extensive training required, poor user engagement, and visual feedback response delays. For a person who has difficulties to imagine without visual stimulation, more training should be conducted. Even with a visual stimulus, sometimes a person still finds it hard to distinguish between one movement and another. So, finding a suitable input to control an AT device that suitable for someone who has extremely limited movement is very challenging. In the other hand, EEG signal had been proven sufficient in detecting facial expression. Even though the EEG signal contains EMG facial artifact and considered as an unwanted signal for BCI, facial movement artifact could become a compensator signal for EEG based Human Computer Interface (HCI) system to improve efficiency. This study aims to develop HCI systems to distinguish three different movements (forward, backward, and stop) EEG signals that recorded from EEG EMOTIV Epoc based on different facial expression. This HCI system could bring benefit if it is implemented for AT device, such as rollator since the user could easily distinguish different movement without any visual stimuli required so could reduce an extensive training before usage and could improve the quality of life people with limited extremity movement.

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Numerical Simulation on Effects of TCO Work Function on Performance of a-Si:H Solar Cells 4th

Numerical Simulation on Effects of TCO Work Function on Perf...

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4th International Conference on Functional Materials science, ICFMS 2018

作者： Sholih, Ahmad Hamdani, Dadan Wicaksono, Sigit Tri Hidayat, Mas Irfan Purbawanto Cahyono, Yoyok Darminto Advanced Materials Research Group Department of Physics Institut Teknologi Sepuluh Nopember Kampus ITS Sukolilo Surabaya60111 Indonesia Department of Materials and Metallurgical Engineering Institut Teknologi Sepuluh Nopember Kampus ITS Sukolilo Surabaya60111 Indonesia Physics Study Program Faculty of Mathematics and Natural Science Universitas Mulawarman Samarinda Indonesia

ISBN: (纸本)9783035714968

In this paper, we have investigated the effect of the work function of transparent conducting oxides (TCO) on the performance of a-Si:H p-i-n solar cells, including open circuit voltage (VOC), short circuit current (JSC), fill factor (FF) and conversion efficiency, using AFORS-HET software. The simulation has focused on two layers: front contact work function (ΦTCO-front) and back contact work function (ΦTCO-back) with various band energy gap from 4.7 eV to 5.3 eV and 4.2 eV to 4.9 eV respectively. From the simulation results, we know that the work function of TCO greatly affects the performance of solar cells such as Voc, Jsc, FF and conversion efficiency. By optimization, we arrive at results of Voc, Jsc, FF and conversion efficiencies of 0.88 V, 8.95 mA / cm2, 65% and 5.1% respectively, by using ΦTCO-front of 5.2 eV. When ΦTCO-front > 5.2 eV, the values of VOC, FF and conversion efficiency have been saturated, while the value of the J sc actually begins to decrease. Furthermore, when the ΦTCO-back is 4.3 eV, we get the best results for VOC, Jsc, FF and conversion Efficiency of 0.9 V, 8.96 mA / cm2, 73 % and 5.9 % respectively. When ΦTCO-back > 4.3 eV, the values of VOC, FF and conversion efficiency begin to decrease, while the value of the Jsc does not change significantly. These optimizations may help for producing low cost high efficiency p-i-n solar cells experimentally. © 2019 Trans Tech Publications Ltd, Switzerland.

关键词： Work function

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Critical pore radius and transport properties of disordered hard- And overlapping-sphere models

arXiv

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arXiv 2021年

作者： Klatt, Michael A. Ziff, Robert M. Torquato, Salvatore Department of Physics Princeton University PrincetonNJ08544 United States Institut für Theoretische Physik FAU Erlangen-Nürnberg Staudtstr. 7 Erlangen91058 Germany Center for the Study of Complex Systems Department of Chemical Engineering University of Michigan Ann ArborMI48109 United States Department of Physics Princeton University PrincetonNJ08544 United States Department of Chemistry Princeton Institute for the Science and Technology of Materials Program in Applied and Computational Mathematics Princeton University PrincetonNJ08544 United States

Transport properties of porous media are intimately linked to their pore-space microstructures. We quantify geometrical and topological descriptors of the pore space of certain disordered and ordered distributions of spheres, including pore-size functions and the critical pore radius δc. We focus on models of porous media derived from maximally random jammed sphere packings, overlapping spheres, equilibrium hard spheres, "quantizer" sphere packings, and crystalline sphere packings. For precise estimates of the percolation thresholds, we use a strict relation of the void percolation around sphere configurations to weighted bond percolation on the corresponding Voronoi networks. We use the Newman-Ziff algorithm to determine the percolation threshold using universal properties of the cluster size distribution. The critical pore radius δc is often used as the key characteristic length scale that determines the fluid permeability k. A recent study [Torquato. Adv. Wat. Resour. 140,103565 (2020)] suggested for porous media with a well-connected pore space an alternative estimate of k based on the second moment of the pore size hδ2i, which is easier to determine than δc. Here, we compare δc to the second moment of the pore size hδ2i, and indeed confirm that, for all porosities and all models considered, δc2 is to a good approximation proportional to hδ2i. However, unlike hδ2i, the permeability estimate based on δc2 does not predict the correct ranking of k for our models. Thus, we confirm hδ2i to be a promising candidate for convenient and reliable estimates of the fluid permeability for porous media with a well-connected pore space. Moreover, we compare the fluid permeability of our models with varying degrees of order, as measured by the τ order metric. We find that (effectively) hyperuniform models tend to have lower values of k than their nonhyperuniform counterparts. Our findings could facilitate the design of porous media with desirable transport properties via target

关键词： Porous materials

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Catalytic cracking of polyethylene terephthalate (PET) plastic waste and palm fibre mixtures using Ni-USY zeolite catalyst

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Journal of Physics: Conference Series 2020年第2期1567卷

作者： Nazarudin N Jayanti O Alfernando I G Prabasari Ulyarti R Sarip Chemistry Engineering Study Program Faculty of Engineering Universitas Jambi Indonesia Center of Energy and Nanomaterial Study Universitas Jambi Indonesia Agricultural Product Technology Study Program Faculty of Agricultural Technology Universitas Jambi Indonesia Chemistry Department Faculty of Science University of Malaya Malaysia

This research was carried out to produce fuel (Oil Liquid Poduct/OLP) from catalytic cracking of a mixture of Polyethylene Terephthalate (PET) and fiber waste from palm oil. USY zeolite was previously ion-exchanged by three levels of Ni-metal concentration (1%, 2%, 3%) before used as catalyst in the cacking process. The catalytic cracking was carried out at rasio of sample to catalyst was 6:1, three levels of temperature (400°C, 425°C and 450°C) and three levels of reaction time (10, 20 and 30 minutes).The SEM images and EDX spectra of Ni-USY zeolite catalysts showed that all catalysts were in crystalline form of FAU framework. The highest of OLP percentage, 24.5%, was produced by catalytic cracking at 450°C for 10 minutes using Ni-USY prepared by ion-exchange using 2% concentration of Nickel Nitrate solution.

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Emergence of functional information from multivariate correlations

arXiv

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arXiv 2021年

作者： Adami, Christoph Nitash, C.G. Department of Microbiology and Molecular Genetics Michigan State University East LansingMI48824 United States Beacon Center for the Study of Evolution Action Michigan State University East LansingMI48824 United States Department of Physics and Astronomy Michigan State University East LansingMI48824 United States Program in Ecology Evolution and Behavior Michigan State University East LansingMI48824 United States Department of Computer Science and Engineering Michigan State University East LansingMI48824 United States

The information content of symbolic sequences (such as nucleic- or amino acid sequences, but also neuronal firings or strings of letters) can be calculated from an ensemble of such sequences, but because information cannot be assigned to single sequences, we cannot correlate information to other observables attached to the sequence. Here we show that an information score obtained from multivariate (multiple-variable) correlations within sequences of a \training" ensemble can be used to predict observables of out-of-sample sequences with an accuracy that scales with the complexity of correlations, showing that functional information emerges from a hierarchy of multi-variable correlations. Copyright © 2021, The Authors. All rights reserved.

关键词： Machine learning

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