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AI-Based Ripeness Grading for Oil Palm Fresh Fruit Bunch in Smart Crane Grabber

IOP Conference Series: Earth and Environmental science 2020年第1期426卷

作者： Harsawardana Reza Rahutomo Bharuno Mahesworo Tjeng Wawan Cenggoro Arif Budiarto Teddy Suparyanto Don Bosco Surya Atmaja Bayu Samoedro Bens Pardamean Artificial Intelligence Research and Innovation Center for Agroindustry (AIRICA) Institut Pertanian STIPER Yogyakarta Indonesia 55281 Bioinformatics and Data Science Research Center Bina Nusantara University Jakarta Indonesia 11480 Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia 11480 Mechatronics and AI Research & Development Center Biotechnic Innovation Yogyakarta Indonesia 55281 Computer Science Department BINUS Graduate Program - Master of Computer Science Bina Nusantara University Jakarta Indonesia 11480

Indonesia is one of the biggest palm oil exporters in the world. For Indonesia to stay competitive in thepalm oil industry, the harvesting and evacuating process in its oil palm plantation need to be optimized. This research introduces machinerycalled as Smart Crane Grabber. This machinery can be used for automatic harvesting and evacuation process of oil palm fresh fruit bunch. To enable automation, Smart Crane Grabber is equipped with an Artificial Intelligencesystem for automatic ripeness sorting. TheArtificial Intelligence system developed for Smart Crane Grabber achieves 71.34% accuracy by using only 400 images as preliminary training data.

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Some applications of arithmetic groups in cryptography

arXiv

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arXiv 2018年

作者： Kahrobaei, Delaram Mallahi-Karai, Keivan University of York Department of Computer Science United Kingdom City University of New York CUNY Graduate Center PhD Program in Computer Science New York United States New York University Computer Science and Engineering Department Department of mathematics and logistic Bremen28759 Germany

In this paper we will offer a new symmetric-key cryptographic scheme which is based on the existence of exponentially distorted subgroups in arithmetic groups. Aside from this, we will also provide new examples of distorted subgroups in SLn(Z[x]) which can be utilized for the same purpose. Copyright © 2018, The Authors. All rights reserved.

关键词： Cryptography

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Atomic-Scale Defect Detection by Nonlinear Light Scattering and Localization

arXiv

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arXiv 2020年

作者： Shafiei, Farbod Orzali, Tommaso Vert, Alexey Miri, Mohammad-Ali Hung, P.Y. Wong, Man Hoi Alù, Andrea Bersuker, Gennadi Downer, Michael C. Department of Physics University of Texas at Austin AustinTX United States SEMATECH AlbanyNY United States Sunny Polytechnic Institute AlbanyNY United States Department of Electrical and Computer Engineering University of Texas at Austin AustinTX United States Department of Physics Queens College of the CUNY QueensNY United States Photonics Initiative Advanced Science Research Center CUNY New YorkNY United States Physics Program Graduate Center CUNY New YorkNY United States Aerospace Corporation Los AngelesCA United States

Hetero-epitaxial crystalline films underlie many electronic and optical technologies but are prone to forming defects at their hetero-interfaces. Atomic-scale defects such as threading dislocations that propagate into a film impede the flow of charge carriers and light degrading electrical/optical performance of devices. Diagnosis of sub-surface defects traditionally requires time-consuming invasive techniques such as cross–sectional transmission electron microscopy. Using III-V films grown on Si, we have demonstrated noninvasive, bench-top diagnosis of sub-surface defects by optical second-harmonic scanning probe microscope. We observed a high-contrast pattern of sub-wavelength "hot spots" caused by scattering and localization of fundamental light by defect scattering sites. Size of these observed hotspots are strongly correlated to the density of dislocation defects. Our results not only demonstrate a global and versatile method for diagnosing sub-surface scattering sites but uniquely elucidate optical properties of disordered media. An extension to third harmonics would enable irregularities detection in non-χ(2) materials making the technique universally applicable. Copyright © 2020, The Authors. All rights reserved.

关键词： High resolution transmission electron microscopy

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HTP-complete rings of rational numbers

arXiv

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arXiv 2019年

作者： Miller, Russell Department of Mathematics Queens College C.U.N.Y. 65-30 Kissena Blvd QueensNY11367 United States PhD Programs in Mathematics & Computer Science C.U.N.Y. Graduate Center 365 Fifth Avenue New YorkNY10016 United States

For a ring R, Hilbert's Tenth Problem HTP(R) is the set of polynomial equations over R, in several variables, with solutions in R. We view HTP as an enumeration operator, mapping each set W of prime numbers to HTP([W−1]), which is naturally viewed as a set of polynomials in [X1,X2,...]. It is known that for almost all W, the jump W′ does not 1-reduce to HTP(RW). In contrast, we show that every Turing degree contains a set W for which such a 1-reduction does hold: these W are said to be HTP-complete. Continuing, we derive additional results regarding the impossibility that a decision procedure for W′ from HTP([W−1]) can succeed uniformly on a set of measure 1, and regarding the consequences for the boundary sets of the HTP operator in case has an existential definition in .MSC Codes 12L05 (Primary) 03D45, 03C40 (Secondary) Copyright © 2019, The Authors. All rights reserved.

关键词： Polynomials

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Combination of curcumin or chitosan with photodynamic therapy as an effective alternative therapy for overcoming wound infection associated with multidrug-resistant Acinetobacter baumannii

Microbe (Netherlands)

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Microbe (Netherlands) 2025年 7卷

作者： Yonpiam, Manta Wannigama, Dhammika Leshan Shein, Aye Mya Sithu Liao, Tingting Hurst, Cameron Monk, Peter N. Amarasiri, Mohan Phattharapornjaroen, Phatthranit Ounjai, Puey Saethang, Thammakorn Badavath, Vishnu Nayak Luk-in, Sirirat Nilgate, Sumanee Rirerm, Ubolrat Srisakul, Sukrit Ngamwongsatit, Natharin Leelahavanichkul, Asada Ragupathi, Naveen Kumar Devanga Kanjanabuch, Talerngsak Narkban, Phurin Miyanaga, Kazuhiko Cui, Longzhu Boontaveeyuwat, Einapak Higgins, Paul G. Kicic, Anthony Hamamoto, Hiroshi Abe, Shuichi Hongsing, Parichart Chatsuwan, Tanittha Department of Microbiology Faculty of Medicine Chulalongkorn University King Chulalongkorn Memorial Hospital Thai Red Cross Society Bangkok Thailand Center of Excellence in Antimicrobial Resistance and Stewardship Research Faculty of Medicine Chulalongkorn University Bangkok Thailand Dual degree Medical Science program Faculty of Medicine Chulalongkorn University Bangkok 10330 Thailand Department of Infectious Diseases and Infection Control Yamagata Prefectural Central Hospital Yamagata Japan School of Medicine Faculty of Health and Medical Sciences The University of Western Australia Nedlands WA Australia Biofilms and Antimicrobial Resistance Consortium of ODA receiving countries The University of Sheffield Sheffield United Kingdom Pathogen Hunter's Research Team Department of Infectious Diseases and Infection Control Yamagata Prefectural Central Hospital Yamagata Japan Department of Infectious Diseases Faculty of Medicine Yamagata University Yamagata Japan Department of Clinical Epidemiology Faculty of Medicine Thammasat University Rangsit 10120 Thailand Department of Infection Immunity & Cardiovascular Disease University of Sheffield Medical School United Kingdom Department of Civil and Environmental Engineering Graduate School of Engineering Tohoku University Miyagi Japan Faculty of Health Science Technology Chulabhorn Royal Academy Bangkok 10210 Thailand HRH Princess Chulabhorn Disaster and Emergency Medicine Center Chulabhorn Royal Academy Bangkok 10210 Thailand Department of Biology Faculty of Science Mahidol University Bangkok Thailand Department of Computer Science Faculty of Science Kasetsart University Bangkok Thailand School of Pharmacy & Technology Management SVKM's Narsee Monjee Institute of Management Studies (NMIMS) Hyderabad 509301 India Department of Clinical Microbiology and Applied Technology Faculty of Medical Technology Mahidol University Bangkok Thailand Department of Clinical Sciences and Public Health Faculty of Veteri

The increasing prevalence of multidrug-resistant Acinetobacter baumannii as an opportunistic pathogen in wound infections raises significant concerns due to its antibiotic resistance and biofilm-mediated antibiotic tolerance. This underscores the urgent need to explore an alternative approach to effectively managing wound infections caused by MDR A. baumannii. In this study, combining subinhibitory concentrations of curcumin (25 µg/ml) or chitosan (156 µg/ml) with photodynamic therapy-PDT (10 J/cm²) resulted in a significant reduction of planktonic viabilities and biofilm biovolume of MDR A. baumannii clinical isolates in vitro. In murine A. baumannii-associated wound infection, a combination of curcumin (25 µg/ml) or chitosan (156 µg/ml) with PDT (10 J/cm²) resulted in complete bacterial eradication with wound healing at Day 15 of post-treatments with these combination therapies. Our study demonstrated that combining curcumin or chitosan with PDT at their subinhibitory concentrations represents a promising alternative strategy as localized therapy for effectively managing A. baumannii-associated wound infection. © 2025 The Authors

关键词： Acinetobacter baumannii Alternative therapy Biofilm eradication Chitosan Curcumin Multidrug-resistant (MDR) Photodynamic therapy (PDT) Wound infection

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Genomic basis for RNA alterations in cancer (vol 578, pg 129, 2020)

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NATURE 2023年第7948期614卷 E37-E37页

作者： Calabrese, Claudia Davidson, Natalie R. Demircioglu, Deniz Fonseca, Nuno A. He, Yao Lehmann, Kjong-Van Liu, Fenglin Shiraishi, Yuichi Soulette, Cameron M. Urban, Lara Greger, Liliana Li, Siliang Liu, Dongbing Perry, Marc D. Xiang, Qian Zhang, Fan Zhang, Junjun Bailey, Peter Erkek, Serap Hoadley, Katherine A. Hou, Yong Huska, Matthew R. Kilpinen, Helena Korbel, Jan O. Marin, Maximillian G. Markowski, Julia Nandi, Tannistha Pan-Hammarstrom, Qiang Pedamallu, Chandra Sekhar Siebert, Reiner Stark, Stefan G. Su, Hong Tan, Patrick Waszak, Sebastian M. Yung, Christina Zhu, Shida Awadalla, Philip Creighton, Chad J. Meyerson, Matthew Ouellette, B. F. Francis Wu, Kui Yang, Huanming Brazma, Alvis Brooks, Angela N. Goke, Jonathan Ratsch, Gunnar Schwarz, Roland F. Stegle, Oliver Zhang, Zemin European Molecular Biology Laboratory European Bioinformatics Institute Hinxton UK European Molecular Biology Laboratory European Bioinformatics Institute (EMBL-EBI) Cambridge UK Genome Biology Unit European Molecular Biology Laboratory (EMBL) Heidelberg Germany CIBIO/InBIO - Research Center in Biodiversity and Genetic Resources Universidade do Porto Vairão Portugal Berlin Institute for Medical Systems Biology Max Delbruck Center for Molecular Medicine Berlin Germany German Cancer Consortium (DKTK) partner site Berlin Germany German Cancer Research Center (DKFZ) Heidelberg Germany Berlin Institute for Medical Systems Biology Max Delbrück Center for Molecular Medicine Berlin Germany German Cancer Consortium (DKTK) Partner site Berlin Berlin Germany European Molecular Biology Laboratory Genome Biology Unit Heidelberg Germany Division of Computational Genomics and Systems Genetics German Cancer Research Center (DKFZ) Heidelberg Germany ETH Zurich Zurich Switzerland Memorial Sloan Kettering Cancer Center New York NY USA Weill Cornell Medical College New York NY USA SIB Swiss Institute of Bioinformatics Lausanne Switzerland University Hospital Zurich Zurich Switzerland Computational Biology Center Memorial Sloan Kettering Cancer Center New York NY USA Department of Biology ETH Zurich Zürich Switzerland Department of Computer Science ETH Zurich Zurich Switzerland Korea University Seoul South Korea Computational and Systems Biology Program Memorial Sloan Kettering Cancer Center New York NY USA Department of Physiology and Biophysics Weill Cornell Medicine New York NY USA Institute for Computational Biomedicine Weill Cornell Medicine New York NY USA Controlled Department and Institution New York NY USA Englander Institute for Precision Medicine Weill Cornell Medicine New York NY USA National University of Singapore Singapore Singapore Genome Institute of Singapore Singapore Singapore Computational and Systems Biology Genome Institute of Singap

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Author Correction: Deciphering colorectal cancer genetics through multi-omic analysis of 100,204 cases and 154,587 controls of European and east Asian ancestries

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Nature genetics 2023年第3期55卷 519-520页

作者： Ceres Fernandez-Rozadilla Maria Timofeeva Zhishan Chen Philip Law Minta Thomas Stephanie Schmit Virginia Díez-Obrero Li Hsu Juan Fernandez-Tajes Claire Palles Kitty Sherwood Sarah Briggs Victoria Svinti Kevin Donnelly Susan Farrington James Blackmur Peter Vaughan-Shaw Xiao-Ou Shu Jirong Long Qiuyin Cai Xingyi Guo Yingchang Lu Peter Broderick James Studd Jeroen Huyghe Tabitha Harrison David Conti Christopher Dampier Mathew Devall Fredrick Schumacher Marilena Melas Gad Rennert Mireia Obón-Santacana Vicente Martín-Sánchez Ferran Moratalla-Navarro Jae Hwan Oh Jeongseon Kim Sun Ha Jee Keum Ji Jung Sun-Seog Kweon Min-Ho Shin Aesun Shin Yoon-Ok Ahn Dong-Hyun Kim Isao Oze Wanqing Wen Keitaro Matsuo Koichi Matsuda Chizu Tanikawa Zefang Ren Yu-Tang Gao Wei-Hua Jia John Hopper Mark Jenkins Aung Ko Win Rish Pai Jane Figueiredo Robert Haile Steven Gallinger Michael Woods Polly Newcomb David Duggan Jeremy Cheadle Richard Kaplan Timothy Maughan Rachel Kerr David Kerr Iva Kirac Jan Böhm Lukka-Pekka Mecklin Pekka Jousilahti Paul Knekt Lauri Aaltonen Harri Rissanen Eero Pukkala Johan Eriksson Tatiana Cajuso Ulrika Hänninen Johanna Kondelin Kimmo Palin Tomas Tanskanen Laura Renkonen-Sinisalo Brent Zanke Satu Männistö Demetrius Albanes Stephanie Weinstein Edward Ruiz-Narvaez Julie Palmer Daniel Buchanan Elizabeth Platz Kala Visvanathan Cornelia Ulrich Erin Siegel Stefanie Brezina Andrea Gsur Peter Campbell Jenny Chang-Claude Michael Hoffmeister Hermann Brenner Martha Slattery John Potter Konstantinos Tsilidis Matthias Schulze Marc Gunter Neil Murphy Antoni Castells Sergi Castellví-Bel Leticia Moreira Volker Arndt Anna Shcherbina Mariana Stern Bens Pardamean Timothy Bishop Graham Giles Melissa Southey Gregory Idos Kevin McDonnell Zomoroda Abu-Ful Joel Greenson Katerina Shulman Flavio Lejbkowicz Kenneth Offit Yu-Ru Su Robert Steinfelder Temitope Keku Bethany van Guelpen Thomas Hudson Heather Hampel Rachel Pearlman Sonja Berndt Richard Hayes Marie Elena Martinez Sushma Thomas Douglas Corley Paul Pharoah Susanna Larsson Yun Yen Heinz-Jo Edinburgh Cancer Research Centre Institute of Genomics and Cancer University of Edinburgh Edinburgh UK. Genomic Medicine Group Instituto de Investigacion Sanitaria de Santiago Santiago de Compostela Spain. Colon Cancer Genetics Group Medical Research Council Human Genetics Unit Institute of Genetics and Cancer University of Edinburgh Edinburgh UK. Danish Institute for Advanced Study Department of Public Health University of Southern Denmark Odense Denmark. Division of Epidemiology Department of Medicine Vanderbilt-Ingram Cancer Center Vanderbilt Epidemiology Center Vanderbilt University Medical Center Nashville TN USA. Division of Genetics and Epidemiology Institute of Cancer Research London UK. Public Health Sciences Division Fred Hutchinson Cancer Research Center Seattle WA USA. Genomic Medicine Institute Cleveland Clinic Cleveland OH USA. Population and Cancer Prevention Program Case Comprehensive Cancer Center Cleveland OH USA. Colorectal Cancer Group ONCOBELL Program Bellvitge Biomedical Research Institute Barcelona Spain. Oncology Data Analytics Program Catalan Institute of Oncology Barcelona Spain. Consortium for Biomedical Research in Epidemiology and Public Health Madrid Madrid Spain. Department of Clinical Sciences Faculty of Medicine University of Barcelona Barcelona Spain. Department of Biostatistics School of Public Health University of Washington Seattle WA USA. Institute of Cancer and Genomic Sciences College of Medical and Dental Sciences University of Birmingham Birmingham UK. Department of Public Health Richard Doll Building University of Oxford Oxford UK. Department of Biomedical Informatics Vanderbilt University School of Medicine Nashville TN USA. Department of Preventive Medicine USC Norris Comprehensive Cancer Center Keck School of Medicine University of Southern California Los Angeles CA USA. Center for Public Health Genomics Department of Public Health Sciences University of Virginia Charlottesville VA USA. De

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A potential neurophysiological correlate of electric-acoustic pitch matching in adult cochlear implant users: Pilot data

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Cochlear Implants International 2018年第4期19卷 198-209页

作者： Tan, Chin-Tuan Martin, Brett A. Svirsky, Mario A. Department of Electrical and Computer Engineering School of Behavioral and Brain Science (Callier Center for Communication Disorders) University of Texas at Dallas Richardson TX United States Program in Speech-Language-Hearing Sciences and Program in Audiology Graduate Center City University of New York New York NY United States Department of Otolaryngology New York University New York NY United States

The overall goal of this study was to identify an objective physiological correlate of electric-acoustic pitch matching in unilaterally implanted cochlear implant (CI) participants with residual hearing in the non-implanted ear. Electrical and acoustic stimuli were presented in a continuously alternating fashion across ears. The acoustic stimulus and the electrical stimulus were either matched or mismatched in pitch. Auditory evoked potentials were obtained from nine CI users. Results indicated that N1 latency was stimulus-dependent, decreasing when the acoustic frequency of the tone presented to the non-implanted ear was increased. More importantly, there was an additional decrease in N1 latency in the pitch-matched condition. These results indicate the potential utility of N1 latency as an index of pitch matching in CI users. © 2018 Informa UK Limited, trading as Taylor & Francis Group.

关键词： Auditory evoked potential Electric-acoustic pitch matching N1 latency

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Broadband delay lines and nonreciprocal resonances in unidirectional waveguides

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Physical Review B 2019年第2期100卷 020303(R)-020303(R)页

作者： Sander A. Mann Dimitrios L. Sounas Andrea Alù Photonics Initiative Advanced Science Research Center City University of New York New York 10031 USA Department of Electrical and Computer Engineering The University of Texas at Austin Austin Texas 78712 USA Department of Electrical and Computer Engineering Wayne State University Detroit Michigan 48202 USA Physics Program Graduate Center City University of New York New York 10016 USA Department of Electrical Engineering City College of The City University of New York New York 10031 USA

Slow-light waveguides play an important role in optical pulse delay lines, but are practically limited by disorder-induced attenuation. Topological edge states, unidirectional and robust against disorder, have been proposed as a way to address this issue. Here, we study the transmission phase and pulse propagation dynamics through unidirectional systems in the presence of strong discontinuities. We first investigate a magnetically biased slow-light channel, demonstrating broadband pulse delays in small footprints. We uncover a nonreciprocal etalonlike resonance, sustained by propagating forward and evanescent backward modes, affecting pulse propagation and delay. We then show the existence of these features in topologically protected edge states, highlighting their universality. These exotic resonances provide a new degree of freedom in unidirectional waveguides to engineer their response, and they may therefore prove highly useful in various nanophotonic applications.

关键词： Plasmonics Topological effects in photonic systems Topological insulators Topological materials Waveguides Lorentz symmetry

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Toward Quantification and Visualization of Active Stress Waves for Myocardial Biomechanical Function Assessment

Toward Quantification and Visualization of Active Stress Wav...

引用

computers in Cardiology (CinC)

作者： Niels F Otani Dylan Dang Christopher Beam Fariba Mohammadi Brian Wentz S M Kamrul Hasan Suzanne M Shontz Karl Q Schwarz Sabu Thomas Cristian A Linte School of Mathematical Sciences Rochester Institute of Technology Rochester NY Mechanical Engineering University of Kansas Lawrence KS Bioengineering Graduate Program University of Kansas Lawrence KS Center for Imaging Science Rochester Institute of Technology Rochester NY Electrical Engineering and Computer Science University of Kansas Lawrence KS Division of Cardiology University of Rochester Medical Center Rochester NY

ISBN: (数字)9781728169361

ISBN: (纸本)9781728159423

Estimating and visualizing myocardial active stress wave patterns is crucial to understanding the mechanical activity of the heart and provides a potential non-invasive method to assess myocardial function. These patterns can be reconstructed by analyzing 2D and/or 3D tissue displacement data acquired using medical imaging. Here we describe an application that utilizes a 3D finite element formulation to reconstruct active stress from displacement data. As a proof of concept, a simple cubic mesh was used to represent a myocardial tissue "sample" consisting of a 10 x 10 x 10 lattice of nodes featuring different fiber directions that rotate with depth, mimicking cardiac transverse isotropy. In the forward model, tissue deformation was generated using a test wave with active stresses that mimic the myocardial contractile forces. The generated deformation field was used as input to an inverse model designed to reconstruct the original active stress distribution. We numerically simulated malfunctioning tissue regions (experiencing limited contractility and hence active stress) within the healthy tissue. We also assessed model sensitivity by adding noise to the deformation field generated using the forward model. The difference image between the original and reconstructed active stress distribution suggests that the model accurately estimates active stress from tissue deformation data with a high signal-to-noise ratio.

关键词： Stress Myocardium Strain Biomechanics Image reconstruction Imaging Deformable models

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