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arXiv 2024年

作者： Benić, Sanjin Dumitru, Adrian Kaushik, Abhiram Motyka, Leszek Stebel, Tomasz Department of Physics Faculty of Science University of Zagreb Bijenička c. 32 Zagreb10000 Croatia Department of Natural Sciences Baruch College CUNY 17 Lexington Avenue New YorkNY10010 United States The Graduate School University Center The City University of New York 365 Fifth Avenue New YorkNY10016 United States Centre for Informatics and Computing Rudjer Bošković Institute ZagrebHR-10002 Croatia Jagiellonian University Institute of Theoretical Physics Lojasiewicza L 11 Kraków30-348 Poland

Exclusive C = +1 scalar, axial-vector, and tensor quarkonium production in high-energy electron-proton scattering requires a C-odd t-channel exchange of a photon or a three gluon ladder. We derive the expressions for the corresponding amplitudes. The relative phase of the photon vs. three gluon exchange amplitudes is determined by the sign of the light-front matrix element of the eikonal color current operator dabcJ+aJ+bJ+c at moderate x, and is not affected by small-x QCD evolution. Model calculations predict constructive interference, which is particularly strong for momentum transfer |t| ∼ 1 GeV2 where the cross section for χcJ production exceeds that for pure photon exchange by up to a factor of 4. Exclusive χcJ electroproduction at the high luminosity Electron-Ion Collider occurs with well measurable rates and measurements of these processes should find evidence for the perturbative Odderon exchange. We also compute the total electroproduction cross section as a function of energy and provide first estimates of the number of χcJ events per month at the Electron-Ion Collider design luminosity. © 2024, CC BY.

关键词： Photons

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Design Securing Online Payment Transactions Using Stegblock Through Network Layers

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IOP Conference Series: Materials science and Engineering 2020年第1期879卷

作者： E Ardhianto A Trisetyarso W Suparta B S Abbas C H Kang Computer Science Departement BINUS Graduate Program – Doctor of Computer Science Bina Nusantara University Jakarta Indonesia. Faculty of Information Technology Universitas Stikubank Semarang Indonesia. Departement of Informatics Universitas Pembangunan Jaya South Tangerang Banten Indonesia

The aim of this work is designing a safe online payment activities scheme using steganography techniques with stegblock concept. These works are implemented at the computers network layers. The stegblock will convert the transactions data which sent among network into other data's form, it means the data such as ID Number, Account Number, Passwords and others are converted with other data called cover. Finally, the system sends the cover without the real data, it just represented data and able to read by the receiver. The result shows that this design provides data security, undetectability, and integrity for payment transactions using networks.

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Mobile application to track people in covid19 monitoring and patients under covid19 supervision

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IOP Conference Series: Earth and Environmental science 2021年第1期729卷

作者： A Chrysler H L H S Warnars W H Utomo Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia 11480 Computer Science Department BINUS Graduate Program – Doctor of Computer Science Bina Nusantara University Jakarta Indonesia 11480 Department of Magister Science of Information Technology Faculty of Computing President University Bekasi Indonesia 17550

It is crucial for the community including the government and health workers to collaborate to halt the spread of Covid-19. The idea of developing the mobile application surfaced from the previous findings. Previous researches have implemented and developed different features to better the application. The development of a mobile application to provide a platform that will assist people with information regarding patients that are around the perimeter of users to help notify them. With the help of the notification, users will be able to avoid the chances of them being in contact with the people (ODP), patients that are under surveillance (PDP) confirmed patients. All patients including ODP and PDP are required to have the application therefore, the Minister of Health will be able to track the geolocation of patients. Moreover, people will be able to be aware of patients that are around their perimeter. Therefore, with the help of the application, it will be able to help assist the community for them to be aware of and to be able to avoid being in contact with the infected patients.

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Quantum teleportation of physical qubits into logical code-spaces

arXiv

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arXiv 2020年

作者： Luo, Yi-Han Chen, Ming-Cheng Erhard, Manuel Zhong, Han-Sen Wu, Dian Tang, Hao-Yang Zhao, Qi Wang, Xi-Lin Fujii, Keisuke Li, Li Liu, Nai-Le Nemoto, Kae Munro, William J. Lu, Chao-Yang Zeilinger, Anton Pan, Jian-Wei Hefei National Laboratory for Physical Sciences at Microscale Department of Modern Physics University of Science and Technology of China Hefei230026 China CAS Centre for Excellence in Quantum Information and Quantum Physics Hefei230026 China Boltzmanngasse 3 ViennaA-1090 Austria Faculty of Physics University of Vienna ViennaA-1090 Austria Graduate School of Engineering Science Division of Advanced Electronics and Optical Science Quantum Computing Group 1-3 Machikaneyama Toyonaka Osaka560-8531 Japan NTT Basic Research Laboratories NTT Research Center for Theoretical Quantum Physics NTT Corporation 3-1 Morinosato-Wakamiya Atsugi-shi Kanagawa243-0198 Japan National Institute of Informatics 2-1-2 Hitotsubashi Chiyoda-ku Tokyo101-8430 Japan

Quantum error correction is an essential tool for reliably performing tasks for processing quantum information on a large scale. However, integration into quantum circuits to achieve these tasks is problematic when one realizes that non-transverse operations, which are essential for universal quantum computation, lead to the spread of errors. Quantum gate teleportation has been proposed as an elegant solution for this. Here, one replaces these fragile, non-transverse inline gates with the generation of specific, highly entangled offline resource states that can be teleported into the circuit to implement the non-transverse gate. As the first important step, we create a maximally entangled state between a physical and an error-correctable logical qubit and use it as a teleportation resource. We then demonstrate the teleportation of quantum information encoded on the physical qubit into the error-corrected logical qubit with fidelities up to 0.786. Our scheme can be designed to be fully fault-tolerant so that it can be used in future large-scale quantum technologies. Copyright © 2020, The Authors. All rights reserved.

关键词： Quantum entanglement

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Synthetic biology in Indonesia: Potential and projection in a country with mega biodiversity

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Biotechnology Notes 2023年第1期4卷 41-48页

作者： Sanka, Immanuel Kusuma, Ali Budhi Martha, Faustina Hendrawan, Andre Pramanda, Ihsan Tria Wicaksono, Adhityo Jati, Afif Pranaya Mazaya, Maulida Dwijayanti, Ari Izzati, Nurul Maulana, Muhammad Farhan Widyaningrum, Aulia Reski Synthetic Biology Indonesia (Synbio.id) Jl. Raya Lintas Sumbawa-Bima Block AA No. 1 Boak Village Subdistrict Unter Iwes Sumbawa 84316 Indonesia Department of Chemistry and Biotechnology Tallinn University of Technology Akadeemia tee 15 Tallinn 12618 Estonia Indonesian Centre for Extremophile Bioresources and Biotechnology (ICEBB) Faculty of Life Sciences and Technology Sumbawa University of Technology Jl. Raya Olat Maras Sumbawa 84371 Indonesia Science Communication Steering Committee iGEM Foundation 45 Prospect St Cambridge 02139 MA United States Department of Bio Technology Indonesia International Institute for Life Sciences (i3L) Jl. Pulomas Barat Kav. 88 Pulomas Jakarta 13210 Indonesia Division of Biotechnology Genbinesia Foundation Jalan Swadaya Barat no. 4 Gresik 61171 Indonesia Infection Program Monash Biomedicine Discovery Institute and Department of Microbiology Monash University Melbourne VIC Australia Research Center for Computing Research Organization for Electronics and Informatics National Research and Innovation Agency (BRIN) Cibinong Science Center Jl. Raya Jakarta-Bogor KM 46 West Java Cibinong 16911 Indonesia

Synthetic biology has gained many interest around the globe in the last two decades, not only due to its rapid development but also the potential to provide addressable solutions using standardized design of biological systems. Considering its huge population, biodiversity, and natural resources, Indonesia could play an important role in shaping the future of synthetic biology towards a sustainable bio-circular economy. Here, we provide an overview of synthetic biology development in Indonesia, especially on exploring the potential of our biodiversity. We also discuss some potentials of synthetic biology in solving national issues. Furthermore, we also provide the projection and future landscape of synthetic biology development in Indonesia. In addition, we briefly explain the potential challenges that may arise during the development. © 2023 The Authors

关键词： Indonesia Mega biodiversity Synbio development Synthetic biology

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A Comparative Study of Gaussian Process Machine Learning and Time Series Analysis Techniques for Predicting Unemployment Rate

A Comparative Study of Gaussian Process Machine Learning and...

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International Conference on Computer and Automation Engineering, ICCAE

作者： Muhammad Naeim Mohd Aris Shalini Nagaratnam Nurul Nnadiah Zakaria Muhammad Fadhirul Anuar Mohd Azami Muhammad Afiq Ikram Samsudin Ernee Sazlinayati Othman Department of American Degree Transfer Program School of American Education Sunway University Bandar Sunway Malaysia Department of Econometrics and Business Statistics School of Business Monash University Malaysia Bandar Sunway Malaysia Department of Fundamental and Applied Sciences Faculty of Science and Information Technology Universiti Teknologi PETRONAS Seri Iskandar Malaysia Department of American Degree Transfer Programme School of American Education Sunway University Bandar Sunway Malaysia College of Computing Informatics and Mathematics Universiti Teknologi MARA Seremban 3 Malaysia Centre of Foundation Studies Universiti Teknologi MARA Cawangan Selangor Kampus Dengkil Dengkil Malaysia

ISBN: (数字)9798350370058

ISBN: (纸本)9798350370164

This study explores and compares the capability of Gaussian process machine learning (GPML) with time series analysis techniques, which are autoregressive integrated moving average (ARIMA), seasonal ARIMA (SARIMA) and cubic spline interpolation, in modeling unemployment rate in Malaysia over the period of 1991 to 2022. Six predictive models are developed based on the observations. The predictive performance of each model is quantified using mean absolute error (MAE) and mean squared error (MSE). GPML demonstrated the best predictive model, exhibiting minimal MAE and MSE compared to the time series analysis techniques. The statistical analysis also concluded no significant mean difference between the GPML model and the actual observations, implying a robust predictive model in predicting the unemployment rate in Malaysia.

关键词： Analytical models Interpolation Statistical analysis Time series analysis Gaussian processes Machine learning Predictive models

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Implementation of Augmented Reality in Pretend Play Therapy for Children with Autism Spectrum Disorder

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Journal of Physics: Conference Series 2019年第1期1235卷

作者： M F Syahputra A P Angkasih S Purnamawati U Andayani D Abdullah S Sriadhi A Iskandar T M Rosida J Fitriany I N Sari M D Utama R F Nanuru Department of Information Technology Faculty of Computer Science and Information Technology Universitas Sumatera Utara Medan Indonesia Department of Informatics Universitas Malikussaleh Aceh Utara Indonesia Department of Electrical Engineering Universitas Negeri Medan Indonesia Informatics Engineering STMIK AKBA Makassar Indonesia Graduate Program in Scientific Psychology Universitas Kristen Maranatha Indonesia Department of Pediatric Universitas Malikussaleh Aceh Utara Indonesia Departement of Social Science Education Program Post Graduate Program Universitas Kanjuruhan Malang Malang Indonesia Faculty of Social and Political Science Universitas Kristen Indonesia Maluku Indonesia Universitas Kristen Indonesia Maluku Ambon Indonesia

Autism Spectrum Disorder is a pervasive developmental disorder that will affect children in terms of interpersonal communication, social interaction, and imaginative levels in play. Many therapies to help the motor neuron performance is one of them Pretend Play. Pretend Play is a therapy that invites children in playing to demonstrate something else and tell how to use objects that are considered in the child's imagination. However, in the era of highly developed technology, many fields have used the Augmented Reality method as a visualization of various aspects. With this method researchers will present the therapeutic visualization of the block to 3D transportation tool that is useful for strengthening motor nerves and visual strength of the child. The system can run well during marker detection, marker movement, and 3D object display with the accuracy of precision angle and distance between virtual world with real world reach 100% with angle 0 at distance 31 cm and the maximum distance from the marker is 46 cm and the maximum angle is 30˚.

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Performance test for prototype game for children with adhd

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Journal of Physics: Conference Series 2018年第1期978卷

作者： R Bahana F L Gaol T Wiguna S W H L Hendric B Soewito E Nugroho B P Dirgantoro E Abdurachman Computer Science Department BINUS Graduate Program - Doctor of Computer Science Bina Nusantara University Jakarta Indonesia 11480 Computer Science Department Faculty of Computing and Media Bina Nusantara University Jakarta Indonesia 11480 Faculty of Medicine University of Indonesia Jakarta Indonesia Computer Science Department BINUS Graduate Program - Master of Computer Science Bina Nusantara University Jakarta Indonesia 11480 Kummara Game Design Studio Bandung Indonesia Graphic Design and New Media Program Visual Communication Design Department BINUS Northumbria School of Design Bina Nusantara University Jakarta Indonesia 11480

The gaming industry has become one of the fastest growing industries in the world. In recent years there have been several studies that have used games, especially computer-based ones to improve the executive function of children with Attention Deficit Hyperactivity Disorder (ADHD) especially in working memory improvements. There are still several obstacles in using computer-based games that have been circulating today in Indonesia. The aim of this research is to develop and create a prototype game that can be used to improve working memory of children with ADHD using Bahasa Indonesia. The prototype game application is a race game with matching colors and memory work tasks; developed using Construct2. Players will play as a driver, delivering certain fruits to specific homes with different colors. The game also included visuospatial tasks such as remembering the objects. For performance test, CPU utilization, average FPS and image memory usage has been tested in several browsers. In conclusion, the performance tests results show that the first type of the prototype game is good enough to be played in desktop or laptop.

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Geographic and age variations in mutational processes in colorectal cancer

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Nature 2025年 1-11页

作者： Marcos Díaz-Gay Mariya Kazachkova Ammal Abbasi Christopher D. Steele Raviteja Vangara Erik N. Bergstrom Azhar Khandekar Burçak Otlu Ludmil B. Alexandrov Wellington dos Santos Sergey Senkin Behnoush Abedi-Ardekani Ana Carolina de Carvalho Thomas Cattiaux Ricardo Cortez Cardoso Penha Valérie Gaborieau Priscilia Chopard Sandra Perdomo Paul Brennan Sarah Moody Jingwei Wang Stephen Fitzgerald Saamin Cheema Calli Latimer Jon W. Teague Laura Humphreys Michael R. Stratton Christine Carreira Anush Mukeriya David Zaridze Riley Cox Monique Albert Larry Phouthavongsy Steven Gallinger Reza Malekzadeh Ahmadreza Niavarani Marko Miladinov Katarina Erić Sasa Milosavljevic Suleeporn Sangrajrang Maria Paula Curado Samuel Aguiar Rui Manuel Reis Monise Tadin Reis Luis Gustavo Romagnolo Denise Peixoto Guimarães Ivana Holcatova Jaroslav Kalvach Carlos Alberto Vaccaro Tamara Alejandra Piñero Beata Świątkowska Jolanta Lissowska Katarzyna Roszkowska-Purska Antonio Huertas-Salgado Tatsuhiro Shibata Satoshi Shiba Surasak Sangkhathat Taned Chitapanarux Gholamreza Roshandel Patricia Ashton-Prolla Daniel C. Damin Francine Hehn de Oliveira Trevor D. Lawley Department of Cellular and Molecular Medicine University of California San Diego La Jolla CA USA Department of Bioengineering University of California San Diego La Jolla CA USA Moores Cancer Center University of California San Diego La Jolla CA USA Digital Genomics Group Structural Biology Program Spanish National Cancer Research Center (CNIO) Madrid Spain Biomedical Sciences Graduate Program University of California San Diego La Jolla CA USA Division of Cancer Epidemiology and Genetics National Cancer Institute Bethesda MD USA Department of Health Informatics Graduate School of Informatics Middle East Technical University Ankara Turkey Sanford Stem Cell Institute University of California San Diego La Jolla CA USA Genomic Epidemiology Branch International Agency for Research on Cancer (IARC/WHO) Lyon France Cancer Ageing and Somatic Mutation Wellcome Sanger Institute Cambridge UK Evidence Synthesis and Classification Branch International Agency for Research on Cancer (IARC/WHO) Lyon France Clinical Epidemiology N. N. Blokhin National Medical Research Centre of Oncology Moscow Russia Ontario Tumour Bank Ontario Institute for Cancer Research Toronto Ontario Canada Centre for Biodiversity Genomics University of Guelph Guelph Ontario Canada Lunenfeld-Tanenbaum Research Institute Sinai Health System Toronto Ontario Canada Digestive Oncology Research Center Digestive Disease Research Institute Tehran University of Medical Sciences Tehran Iran Clinic for Digestive Surgery—First Surgical Clinic University Clinical Centre of Serbia Belgrade Serbia Department of Pathology University Clinical Centre of Serbia Belgrade Serbia International Organization for Cancer Prevention and Research Belgrade Serbia National Cancer Institute Bangkok Thailand Department of Epidemiology A. C. Camargo Cancer Center Sao Paulo Brazil Colon Cancer Reference Center A. C. Camargo Cancer Center Sao Paulo Brazil Molecular Oncology Research Center Barretos Cancer Hospital

Incidence rates of colorectal cancer vary geographically and have changed over time1. Notably, in the past two decades, the incidence of early-onset colorectal cancer, which affects individuals below 50 years of age, has doubled in many countries2,3,4,5. The reasons for this increase are unknown. Here we investigate whether mutational processes contribute to geographic and age-related differences by examining 981 colorectal cancer genomes from 11 countries. No major differences were found in microsatellite-unstable cancers, but variations in mutation burden and signatures were observed in the 802 microsatellite-stable cases. Multiple signatures, most with unknown aetiologies, exhibited varying prevalence in Argentina, Brazil, Colombia, Russia and Thailand, indicating geographically diverse levels of mutagenic exposure. Signatures SBS88 and ID18, caused by the bacteria-produced mutagen colibactin6,7, had higher mutation loads in countries with higher colorectal cancer incidence rates. SBS88 and ID18 were also enriched in early-onset colorectal cancers, being 3.3 times more common in individuals who were diagnosed before 40 years of age than in those over 70 years of age, and were imprinted early during colorectal cancer development. Colibactin exposure was further linked toAPCdriver mutations, with ID18 being responsible for about 25% ofAPCdriver indels in colibactin-positive cases. This study reveals geographic and age-related variations in colorectal cancer mutational processes, and suggests that mutagenic exposure to colibactin-producing bacteria in early life may contribute to the increasing incidence of early-onset colorectal cancer.

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PAD-UFES-20: a skin lesion dataset composed of patient data and clinical images collected from smartphones

arXiv

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arXiv 2020年

作者： Pacheco, Andre G.C. Lima, Gustavo R. Salomão, Amanda S. Krohling, Breno A. Biral, Igor P. de Angelo, Gabriel G. Alves, Fábio C.R. Esgario, José G.M. Simora, Alana C. Castro, Pedro B.C. Rodrigues, Felipe B. Frasson, Patricia H.L. Krohling, Renato A. Knidel, Helder Santos, Maria C.S. do Espírito Santo, Rachel B. Macedo, Telma L.S.G. Canuto, Tania R.P. de Barros, Luíz F.S. Graduate Program in Computer Science Federal University of Espirito Santo Vitoria Brazil Faculty of Medicine Federal University of Espirito Santo Vitoria Brazil Federal University of Espirito Santo Vitoria Brazil Nature Inspired Computing Laboratory Federal University of Espirito Santo Vitoria Brazil Department of Specialized Medicine Federal University of Espirito Santo Vitoria Brazil Production Engineering Department Federal University of Espirito Santo Vitoria Brazil Secretary of Health of the Espírito Santo state Governor of Espírito Santo state Vitória Brazil Federal University of Espirito Santo Vitoria Brazil

Over the past few years, different computer-aided diagnosis (CAD) systems have been proposed to tackle skin lesion analysis. Most of these systems work only for dermoscopy images since there is a strong lack of public clinical images archive available to design them. To fill this gap, we release a skin lesion benchmark composed of clinical images collected from smartphone devices and a set of patient clinical data containing up to 22 features. The dataset consists of 1,373 patients, 1,641 skin lesions, and 2,298 images for six different diagnostics: three skin diseases and three skin cancers. In total, 58.4% of the skin lesions are biopsy-proven, including 100% of the skin cancers. By releasing this benchmark, we aim to aid future research and the development of new tools to assist clinicians to detect skin cancer. Copyright © 2020, The Authors. All rights reserved.

关键词： Dermatology

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