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arXiv 2024年

作者： Ahmad, Belal Usama, Mohd Ahmad, Tanvir Saeed, Adnan Khatoon, Shabnam Hu, Long School of Computer Science and Technology Huazhong University of Science and Technology China Departments of Diagnostics and Intervention and Biomedical Engineering Umea University Sweden School of Information and Control Engineering Xi’an University of Architecture and Technology China School of Civil and Hydraulic Engineering Huazhong University of Science and Technology China School of Management Science and Engineering China University of Geosciences China

In this study, we proposed a model for skin disease classification using a Bilinear Convolutional Neural Network (BCNN) with a Constrained Triplet Network (CTN). BCNN can capture rich spatial interactions between features in image data. This computes the outer product of feature vectors from two different CNNs by a bilinear pooling. The resulting features encode second-order statistics, enabling the network to capture more complex relationships between different channels and spatial locations. The CTN employs the Triplet Loss Function (TLF) by using a new loss layer that is added at the end of the architecture called the Constrained Triplet Loss (CTL) layer. This is done to obtain two significant learning objectives: inter-class categorization and intra-class concentration with their deep features as often as possible, which can be effective for skin disease classification. The proposed model is trained to extract the intra-class features from a deep network and accordingly increases the distance between these features, improving the model’s performance. The model achieved a mean accuracy of 93.72%. © 2024, CC BY.

关键词： Convolutional neural networks

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DACB-NET: DUAL ATTENTION GUIDED COMPACT BILINEAR CONVOLUTION NEURAL NETWORK FOR SKIN DISEASE CLASSIFICATION

arXiv

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arXiv 2024年

作者： Ahmad, Belal Usama, Mohd Ahmad, Tanvir Saeed, Adnan Khatoon, Shabnam Chen, Min School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China Departments of Diagnostics and Intervention and Biomedical Engineering Umea University Sweden School of Information and Control Engineering Xi'an University of Architecture and Technology Xian China School of Civil and Hydraulic Engineering Huazhong University of Science and Technology Wuhan China School of Management Science and Engineering China University of Geosciences Wuhan China

This paper introduces the three-branch Dual Attention-Guided Compact Bilinear CNN (DACBNet) by focusing on learning from disease-specific regions to enhance accuracy and alignment. A global branch compensates for lost discriminative features, generating Attention Heat Maps (AHM) for relevant cropped regions. Finally, the last pooling layers of global and local branches are concatenated for fine-tuning, which offers a comprehensive solution to the challenges posed by skin disease diagnosis. Although current CNNs employ Stochastic Gradient Descent (SGD) for discriminative feature learning, using distinct pairs of local image patches to compute gradients and incorporating a modulation factor in the loss for focusing on complex data during training. However, this approach can lead to dataset imbalance, weight adjustments, and vulnerability to overfitting. The proposed solution combines two supervision branches and a novel loss function to address these issues, enhancing performance and interpretability. The framework integrates data augmentation, transfer learning, and fine-tuning to tackle data imbalance to improve classification performance, and reduce computational costs. Simulations on the HAM10000 and ISIC2019 datasets demonstrate the effectiveness of this approach, showcasing a 2.59% increase in accuracy compared to the state-of-the-art. © 2024, CC BY.

关键词： Gradient methods

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Slrcnn: Integrating Local Sparse Low-Rank and Cnn Denoiser for Hyperspectral and Multispectral Image Fusion

SSRN

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SSRN 2024年

作者： Li, Li He, Hongjie Chen, Nan Kang, Xujie Wang, Baojie Li, Jonathan School of Architecture and Civil Engineering Chengdu University SC Chengdu610106 China Departments of Geography and Environmental Management University of Waterloo WaterlooONN2L 3G1 Canada School of Computer Science Xi'an Aeronautical University SX Xi’an710077 China College of Electronics and Information Engineering Shenzhen University GD Shenzhen518000 China Guangzhou Hi-Target Navigation Tech Co. Ltd. GD Guangzhou511400 China

Fusion of hyperspectral image (HSI) and multispectral image (MSI) is a prevalent scheme to generate a HSI with enhanced spatial-resolution. Current methods often fail to sufficiently leverage the effective spectral and spatial priors existed in the observed HSI and MSI to further enhance the fusion performance. To address this limitation, this paper proposes a novel HSI-MSI fusion approach, which integrates local Sparse Low Rank and CNN denoiser (SLRCNN) while considering spectral dictionary optimization. Firstly, an initialized spectral dictionary is derived from the HSI. Next, the spatial coefficients optimization model is established by incorporating the sparse, local low-rank and plugged general image priors simultaneously, where the l1norm is imposed to promote the sparse prior, and the super-pixel segmentation strategy is conducted on the MSI to impose the local low-rank prior while a well-trained CNN denoiser is plugged in to enforce the general image priors. Then, the spectral dictionary optimization model is constructed to refine the initial spectral dictionary, capturing more detailed spectral characteristics to further improve the fusion results. Finally, the optimization process involves applying the split augmented Lagrangian shrinkage method and the alternating direction method of multipliers. Experimental results on simulated and real datasets, namely the Pavia University dataset, the Indian Pines dataset and the E0-1 dataset, indicate that SLRCNN outperforms existing state-of-the-art approaches at 4x, 5x and 6x resolutions in both qualitative and quantitative evaluation results. Specifically, the peak signal-to-noise ratio (PSNR) of SLRCNN is improved by more than 0.9dB, 1.0 dB and 0.2dB while the spectral angle mapper (SAM) is decreased by more than 0.1, 0.3 and 0.6 in degree compared to other state-of-the-art methods across three datasets, respectively, which underscores the effectiveness of SLRCNN in leveraging both spatial detail reconstruction a

关键词： Signal to noise ratio

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Bi-axial woven tiles: Interlocking space-filling shapes based on symmetries of bi-axial weaving patterns

Bi-axial woven tiles: Interlocking space-filling shapes base...

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Graphics Interface 2020, GI 2020

作者： Krishnamurthy, Vinayak R. Akleman, Ergun Subramanian, Sai Ganesh Boyd, Katherine Fu, Chia-An Ebert, Matthew Starrett, Courtney Yadav, Neeraj J. Mike Walker '66 Department of Mechanical Engineering Texas A&M University United States Departments of Visualization and Computer Science and Eng. Texas A&M University United States Department of Architecture Texas A&M University United States

In this paper, we introduce a geometric design and fabrication framework for a family of interlocking space-filling shapes which we call bi-axial woven tiles. Our framework is based on a unique combination of (1) Voronoi partitioning of space using curve segments as the Voronoi sites and (2) the design of these curve segments based on weave patterns closed under symmetry operations. The underlying weave geometry provides an interlocking property to the tiles and the closure property under symmetry operations ensure single tile can fill space. In order to demonstrate this general framework, we focus on specific symmetry operations induced by bi-axial weaving patterns. We specifically showcase the design and fabrication of woven tiles by using the most common 2-fold fabrics called 2-way genus-1 fabrics, namely, plain, twill, and satin weaves. © 2020 Canadian Information Processing Society. All rights reserved.

关键词： Visualization

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Special Section Guest Editorial: Advances in Breast Imaging

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Journal of Medical Imaging 2019年第3期6卷 031401-031401页

作者： Krupinski, Elizabeth A. Astley, Sue Marti, Robert Tornai, Martin Zwiggelaar, Reyer Emory University Department of Radiology and Imaging Sciences AtlantaGA United States University of Manchester Division of Informatics Imaging and Data Science Manchester United Kingdom University of Girona Department of Architecture and Computer Technology Girona Spain Duke University Departments of Radiology and Biomedical Engineering DurhamNC United States Aberystwyth University Department of Computer Science Aberystwyth United Kingdom

This guest editorial introduces the special section on Advances in Breast Imaging.

关键词： Digital breast tomosynthesis Breast imaging Breast cancer Breast Cancer Digital mammography computer simulations Mammography Optical filters Radiology

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Combination of Measurements of the Top Quark Mass from Data Collected by the ATLAS and CMS Experiments at s=7 and 8 TeV

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Physical Review Letters 2024年第26期132卷 261902-261902页

作者： A. Hayrapetyan A. Tumasyan W. Adam J. W. Andrejkovic T. Bergauer S. Chatterjee K. Damanakis M. Dragicevic P. S. Hussain M. Jeitler N. Krammer A. Li D. Liko I. Mikulec J. Schieck R. Schöfbeck D. Schwarz M. Sonawane S. Templ W. Waltenberger C.-E. Wulz M. R. Darwish T. Janssen P. Van Mechelen E. S. Bols J. D’Hondt S. Dansana A. De Moor M. Delcourt H. El Faham S. Lowette I. Makarenko D. Müller A. R. Sahasransu S. Tavernier M. Tytgat S. Van Putte D. Vannerom B. Clerbaux G. De Lentdecker L. Favart D. Hohov J. Jaramillo A. Khalilzadeh K. Lee M. Mahdavikhorrami A. Malara S. Paredes L. Pétré N. Postiau L. Thomas M. Vanden Bemden C. Vander Velde P. Vanlaer M. De Coen D. Dobur Y. Hong J. Knolle L. Lambrecht G. Mestdach C. Rendón A. Samalan K. Skovpen N. Van Den Bossche J. van der Linden L. Wezenbeek A. Benecke G. Bruno C. Caputo C. Delaere I. S. Donertas A. Giammanco K. Jaffel Sa. Jain V. Lemaitre J. Lidrych P. Mastrapasqua K. Mondal T. T. Tran S. Wertz G. A. Alves E. Coelho C. Hensel T. Menezes De Oliveira A. Moraes P. Rebello Teles M. Soeiro W. L. Aldá Júnior M. Alves Gallo Pereira M. Barroso Ferreira Filho H. Brandao Malbouisson W. Carvalho J. Chinellato E. M. Da Costa G. G. Da Silveira D. De Jesus Damiao S. Fonseca De Souza R. Gomes De Souza J. Martins C. Mora Herrera K. Mota Amarilo L. Mundim H. Nogima A. Santoro A. Sznajder M. Thiel A. Vilela Pereira C. A. Bernardes L. Calligaris T. R. Fernandez Perez Tomei E. M. Gregores P. G. Mercadante S. F. Novaes B. Orzari Sandra S. Padula A. Aleksandrov G. Antchev R. Hadjiiska P. Iaydjiev M. Misheva M. Shopova G. Sultanov A. Dimitrov L. Litov B. Pavlov P. Petkov A. Petrov E. Shumka S. Keshri S. Thakur T. Cheng Q. Guo T. Javaid L. Yuan Z. Hu J. Liu K. Yi G. M. Chen H. S. Chen M. Chen F. Iemmi C. H. Jiang A. Kapoor H. Liao Z.-A. Liu R. Sharma J. N. Song J. Tao C. Wang J. Wang Z. Wang H. Zhang A. Agapitos Y. Ban A. Levin C. Li Q. Li Y. Mao S. J. Qian X. Sun D. Wang H. Yang L. Zhang C. Zhou Z. You N. Lu G. Bauer X. Gao D. Leggat H. Okawa Y. Zhang Z. Lin C. Lu M. Xiao C. Avila D. A. Yerevan Physics Institute Yerevan Armenia Institut für Hochenergiephysik Vienna Austria Indian Institute of Technology Madras Madras India APC Université Paris Cité CNRS/IN2P3 Paris France Universiteit Antwerpen Antwerpen Belgium Vrije Universiteit Brussel Brussel Belgium Université Libre de Bruxelles Bruxelles Belgium Korea University Seoul Korea Ghent University Ghent Belgium Université Catholique de Louvain Louvain-la-Neuve Belgium Centro Brasileiro de Pesquisas Fisicas Rio de Janeiro Brazil Universidade do Estado do Rio de Janeiro Rio de Janeiro Brazil Universidade Estadual Paulista Universidade Federal do ABC São Paulo Brazil Institute for Nuclear Research and Nuclear Energy Bulgarian Academy of Sciences Sofia Bulgaria University of Sofia Sofia Bulgaria IJCLab Université Paris-Saclay CNRS/IN2P3 91405 Orsay France Instituto De Alta Investigación Universidad de Tarapacá Casilla 7 D Arica Chile Beihang University Beijing China Department of Physics Tsinghua University Beijing China Institute of High Energy Physics Beijing China Department of Physics Oxford University Oxford United Kingdom School of Physics and Astronomy Shanghai Jiao Tong University Key Laboratory for Particle Astrophysics and Cosmology (MOE) SKLPPC Shanghai China Department of Physics Chinese University of Hong Kong Shatin N.T. Hong Kong China Department of Physics University of Michigan Ann Arbor Michigan USA State Key Laboratory of Nuclear Physics and Technology Peking University Beijing China Department of Modern Physics and State Key Laboratory of Particle Detection and Electronics University of Science and Technology of China Hefei China Department of Physics Nanjing University Nanjing China Sun Yat-Sen University Guangzhou China University of Science and Technology of China Hefei China Nanjing Normal University Nanjing China Institute of Modern Physics and Key Laboratory of Nuclear Physics and Ion-beam Application (MOE)—Fudan University Shanghai China Zhe

A combination of fifteen top quark mass measurements performed by the ATLAS and CMS experiments at the LHC is presented. The datasets used correspond to an integrated luminosity of up to 5 and 20 fb−1 of proton-proton collisions at center-of-mass energies of 7 and 8 TeV, respectively. The combination includes measurements in top quark pair events that exploit both the semileptonic and hadronic decays of the top quark, and a measurement using events enriched in single top quark production via the electroweak t channel. The combination accounts for the correlations between measurements and achieves an improvement in the total uncertainty of 31% relative to the most precise input measurement. The result is mt=172.52±0.14(stat)±0.30(syst) GeV, with a total uncertainty of 0.33 GeV.

关键词： Top quark Hadron colliders

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Microbiology: Walls talk: Microbial biogeography of homes spanning urbanization

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science Advances 2016年第2期2卷

作者： Ruiz-Calderon, Jean F. Cavallin, Humberto Song, Se Jin Novoselac, Atila Pericchi, Luis R. Hernandez, Jean N. Rios, Rafael Branch, Oralee H. Pereira, Henrique Paulino, Luciana C. Blaser, Martin J. Knight, Rob Dominguez-Bello, Maria G. Department of Biology University of Puerto Rico Rio Piedras Campus San Juan00931 Puerto Rico School of Architecture 2University of Puerto Rio Piedras Campus San Juan00931 Puerto Rico Department of Ecology and Evolutionary Biology University of Colorado BoulderCO80309 United States Department of Civil Architectural and Environmental Engineering University of Texas AustinTX78712 United States Department of Mathematics University of Puerto Rico Rio Piedras Campus San Juan00931 Puerto Rico Department of Environmental Sciences University of Puerto Rico Rio Piedras Campus San Juan00931 Puerto Rico Department of Microbiology New York University Langone Medical New YorkNY10016 United States Federal University of Amazonas ManausAM66077-000 Brazil Center for Natural Sciences and Humanities Federal University of ABC Santo André09210 Brazil Department of Medicine New York University Langone Medical New YorkNY10016 United States Departments of Pediatrics and Computer Science and Engineering University of California San DiegoCA92093 United States

Westernization has propelled changes in urbanization and architecture, altering our exposure to the outdoor environment from that experienced during most of human evolution. These changes might affect the developmental exposure of infants to bacteria, immune development, and human microbiome diversity. Contemporary urban humans spend most of their time indoors, and little is known about the microbes associated with different designs of the built environment and their interaction with the human immune system. This study addresses the associations between architectural design and the microbial biogeography of households across a gradient of urbanization in South America. Urbanization was associated with households' increased isolation from outdoor environments, with additional indoor space isolation by walls. Microbes from house walls and floors segregate by location, and urban indoor walls contain human bacterial markers of space use. Urbanized spaces uniquely increase the content of human-associated microbes-which could increase transmission of potential pathogens-and decrease exposure to the environmental microbes with which humans have coevolved. © 2018 The Authors.

关键词： Ecology

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Digital Archaeological Landscapes & Replicated Artifacts: Questions of Analytical & Phenomenological Authenticity & Ethical Policies in CyberArchaeology

Digital Archaeological Landscapes & Replicated Artifacts: Qu...

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International Congress on Digital Heritage

作者： Ashley M. Richter Vid Petrovic David Vanoni Steven M. Parish Falko Kuester Thomas E. Levy Department of Anthropology Center of Interdisciplinary Science for Art Architecture UCSD branch of the California Institute of Telecommunications and Information Technology Department of Anthropology University of California San Diego Department of Computer Science & Engineering UCSD branch of the California Institute of Telecommunications and Information Technology Departments of Computer Science & Engineering & Structural Engineering UCSD branch of the California Institute of Telecommunications and Information Technology

As cyberarchaeology pushes the boundaries of digital replication of space, objects, and arguably, time itself, it simultaneously adjusts mankind's perception of these things, their connection to the individual and to culture, and our ability to analyze these increasingly solid intangible data sets. When considered as part of the evolving global modernist perspective, and as something valuable as a comparative analytical tool- these are useful developments. However, with every innovation, comes a price. And in creating virtually solid simulacra of cultural heritage, we must consider the implications of the removed authenticities cyberarchaeologists are creating. How might the ability to have a virtual copy affect international conservation policies for archaeological sites and collected artifacts? What does a virtual and potentially 3D printable version of an artifact mean to the economics of looting? How might digital augmentation in museums be balanced so as not to replace the real artifacts themselves? In developing the interdisciplinary and collaborative big-system cyberarchaeological methodologies and systems like those at the Center of Interdisciplinary science for Art, architecture, and Archaeology at the University of California, San Diego, the ethical implications of reactions to digitization and digital analysis are being concurrently evaluated so that some flexible contingencies can be built in as a safety measure to protect the authentic from the misuse of its heterotopic virtual counterparts.

关键词： Component Authenticity Digital artifact Replica Replicated artifact Archaeological landscape Point cloud Mesh 3D printing Technology Holodeck Virtual reality CISA3 UCSD

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Color and texture analysis on emerging parallel architectures

Color and texture analysis on emerging parallel architecture...

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作者： Igual, Francisco D Mayo, Rafael Hartley, Timothy D R Çatalyürek, Ümit V Ruiz, Antonio Ujaldon, Manuel Department of Computer Engineering and Computer Science University Jaume i in Castellon Spain Departments of Biomedical Informatics and Electrical and Computer Engineering Ohio State University United States Computer Architecture Department University of Malaga Spain

While image texture is effective for use in pattern recognition and image analysis algorithms, textural features are time-consuming to calculate on standard CPUs. Therefore, we present novel implementations of textural feature algorithms on graphics processors (GPUs), enabling fast color and texture analysis. Since different textural feature calculations can exhibit diverse characteristics, we focus on using general and algorithm-specific techniques to exploit the inherent parallelism and computational power of a GPU. Common operations required during the textural feature pipeline range from streaming computations to recursive procedures, from arithmetically intensive transcendental functions to matrix operations. Some of these kernels are well-suited to GPUs, while others require considerable programming effort to fully exploit the memory hierarchy due to their memory usage patterns. In this paper, different strategies for computing textural features on GPUs are compared with counterpart implementations on multicore CPUs, and experimental results show GPU results reaching 500× speedup for certain operations. © The Author(s) 2012.

关键词： Program processors

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Combined Measurement of the Higgs Boson Mass in pp Collisions at s=7 and 8 TeV with the ATLAS and CMS Experiments

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Physical Review Letters 2015年第19期114卷 191803-191803页

作者： G. Aad B. Abbott J. Abdallah O. Abdinov R. Aben M. Abolins O. S. AbouZeid H. Abramowicz H. Abreu R. Abreu Y. Abulaiti B. S. Acharya L. Adamczyk D. L. Adams J. Adelman S. Adomeit T. Adye A. A. Affolder T. Agatonovic-Jovin J. A. Aguilar-Saavedra S. P. Ahlen F. Ahmadov G. Aielli H. Akerstedt T. P. A. Åkesson G. Akimoto A. V. Akimov G. L. Alberghi J. Albert S. Albrand M. J. Alconada Verzini M. Aleksa I. N. Aleksandrov C. Alexa G. Alexander T. Alexopoulos M. Alhroob G. Alimonti L. Alio J. Alison S. P. Alkire B. M. M. Allbrooke P. P. Allport A. Aloisio A. Alonso F. Alonso C. Alpigiani A. Altheimer B. Alvarez Gonzalez D. Álvarez Piqueras M. G. Alviggi B. T. Amadio K. Amako Y. Amaral Coutinho C. Amelung D. Amidei S. P. Amor Dos Santos A. Amorim S. Amoroso N. Amram G. Amundsen C. Anastopoulos L. S. Ancu N. Andari T. Andeen C. F. Anders G. Anders J. K. Anders K. J. Anderson A. Andreazza V. Andrei S. Angelidakis I. Angelozzi P. Anger A. Angerami F. Anghinolfi A. V. Anisenkov N. Anjos A. Annovi M. Antonelli A. Antonov J. Antos F. Anulli M. Aoki L. Aperio Bella G. Arabidze Y. Arai J. P. Araque A. T. H. Arce F. A. Arduh J-F. Arguin S. Argyropoulos M. Arik A. J. Armbruster O. Arnaez V. Arnal H. Arnold M. Arratia O. Arslan A. Artamonov G. Artoni S. Asai N. Asbah A. Ashkenazi B. Åsman L. Asquith K. Assamagan R. Astalos M. Atkinson N. B. Atlay B. Auerbach K. Augsten M. Aurousseau G. Avolio B. Axen M. K. Ayoub G. Azuelos M. A. Baak A. E. Baas C. Bacci H. Bachacou K. Bachas M. Backes M. Backhaus E. Badescu P. Bagiacchi P. Bagnaia Y. Bai T. Bain J. T. Baines O. K. Baker P. Balek T. Balestri F. Balli E. Banas Sw. Banerjee A. A. E. Bannoura H. S. Bansil L. Barak S. P. Baranov E. L. Barberio D. Barberis M. Barbero T. Barillari M. Barisonzi T. Barklow N. Barlow S. L. Barnes B. M. Barnett R. M. Barnett Z. Barnovska A. Baroncelli G. Barone A. J. Barr F. Barreiro J. Barreiro Guimarães da Costa R. Bartoldus A. E. Barton P. Bartos A. Bassalat A. Basye R. L. Bates S. J. Batista J. R. Batley M. Battaglia M. Bauce F. Bauer H. S. Bawa J. B. Beach CPPM Aix-Marseille Université and CNRS/IN2P3 Marseille France Homer L. Dodge Department of Physics and Astronomy University of Oklahoma Norman Oklahoma USA Institute of Physics Academia Sinica Taipei Taiwan Institute of Physics Azerbaijan Academy of Sciences Baku Azerbaijan Nikhef National Institute for Subatomic Physics and University of Amsterdam Amsterdam Netherlands Department of Physics and Astronomy Michigan State University East Lansing Michigan USA Department of Physics University of Toronto Toronto Ontario Canada Raymond and Beverly Sackler School of Physics and Astronomy Tel Aviv University Tel Aviv Israel Department of Physics Technion: Israel Institute of Technology Haifa Israel CERN Geneva Switzerland Department of Physics Stockholm University Sweden The Oskar Klein Centre Stockholm Sweden INFN Gruppo Collegato di Udine Sezione di Trieste Udine Italy ICTP Trieste Italy AGH University of Science and Technology Faculty of Physics and Applied Computer Science Krakow Poland Physics Department Brookhaven National Laboratory Upton New York USA Department of Physics Northern Illinois University DeKalb Illinois USA Fakultät für Physik Ludwig-Maximilians-Universität München München Germany Particle Physics Department Rutherford Appleton Laboratory Didcot United Kingdom Oliver Lodge Laboratory University of Liverpool Liverpool United Kingdom Institute of Physics University of Belgrade Belgrade Serbia Laboratorio de Instrumentacao e Fisica Experimental de Particulas-LIP Lisboa Portugal Departamento de Fisica Teorica y del Cosmos and CAFPE Universidad de Granada Granada (Spain) Portugal Department of Physics Boston University Boston Massachusetts USA Joint Institute for Nuclear Research JINR Dubna Dubna Russia INFN Sezione di Roma Tor Vergata Roma Italy Dipartimento di Fisica Università di Roma Tor Vergata Roma Italy Fysiska institutionen Lunds universitet Lund Sweden International Center for Elementary Particle Physics and Depart

A measurement of the Higgs boson mass is presented based on the combined data samples of the ATLAS and CMS experiments at the CERN LHC in the H→γγ and H→ZZ→4ℓ decay channels. The results are obtained from a simultaneous fit to the reconstructed invariant mass peaks in the two channels and for the two experiments. The measured masses from the individual channels and the two experiments are found to be consistent among themselves. The combined measured mass of the Higgs boson is mH=125.09±0.21 (stat)±0.11 (syst) GeV.

关键词： HIGGS bosons RESEARCH COLLISIONS (Nuclear physics) ATLAS (computer program language) REST mass (Relativity) BOSONS

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