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REVISITING ARCHIVEd RYE GRAINS dISCOVEREd AT THE NEOLITHIC SITE CUNESTI (ROMANIA)

RAdIOCARBON 2023年第3期65卷 771-788页

作者： Golea, Mihaela Garcia-Vazquez, Ana Mircea, Cristina Carciumaru, Marin Sava, Gabriela Mueller, Johannes Kirleis, Wiebke Lazar, Catalin Romanian Acad Vasile Parvan Inst Archaeol Bucharest Romania Univ Bucharest Univ Bucharest ICUB Res Inst Bucharest Romania Babes Bolyai Univ Cluj Napoca Romania Valahia Univ Targoviste Targoviste Romania Univ Kiel Inst Prehist & Protohist Archaeol Kiel Germany Horia Hulubei Natl Inst R&D Phys & Nucl Engn Magurele Romania

direct accelerator mass spectrometry (AMS) dating is crucial for a correct integration of plant remains in the (pre)history of crops, particularly for those that do not belong to the Neolithic package and are known to arrive in Europe much later. This paper reviews one of the earliest records of rye from Romania. The grains were discovered in the tell settlement of Cunesti, which belongs to the Gumelni?a communities (ca. 4600-3900 BC). In 1954, due to danube flooding, a large portion of the south part of the tell collapsed, and between the burnt dwelling visible in the resulting profile, a large number of sherds from three typical Gumelni?a pots were identified. According to the excavation's author, rye grains were found in association with those sherds, and it was assumed that a batch was stored in these Eneolithic vessels. Consequently, the rye was published as belonging to the Gumelni?a period. Our reanalysis led to two radiocarbon (C-14) dates, from two different laboratories, which indicate that the Cunesti rye is not prehistoric but dates to the medieval period. To correct this error concerning this rye batch and the implications for European archaeology, we decided to republish these grains in an updated chronological framework. In addition, we performed stable isotope analyses on the charred grains, confirming they were cultivated on dry land, as well as a 3d morphometric investigation. Our research brings new and original data on rye cultures from the medieval period in southeastern Europe.

关键词： Balkans C-14 3d morphometric analysis Middle Ages rye stable isotopes

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FST-NET: FACIAL SOFT TISSUE LANdMARK LOCALIZATION ON 3dMd SCANS USING FEATURE FUSION ANd LOCAL COORdINATE REGRESSION 21

FST-NET: FACIAL SOFT TISSUE LANDMARK LOCALIZATION ON 3DMD SC...

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21st IEEE International Symposium on Biomedical Imaging (ISBI)

作者： He, Zhidong Bao, Han Chen, Mingzhang Wu, Jiasong Liu, Luwei Senhadji, Lotfi Shu, Huazhong Yan, Bin Southeast Univ Lab Image Sci & Technol Nanjing 210096 Peoples R China Southeast Univ Jiangsu Prov Joint Int Res Lab Med Informat Proc Key Lab New Generat Artificial Intelligence Techn Minist Educ Nanjing 210096 Peoples R China Nanjing Med Univ Affiliated Stomatol Hosp Dept Orthodont Nanjing 210029 Peoples R China Ctr Rech Informat Biomed Sino Francais F-35000 Rennes France Univ Rennes INSERM UMR 1099 LTSI F-35042 Rennes France

ISBN: (纸本)9798350313345;9798350313338

Landmark localization of facial soft tissue (FST) is a basic step in 3d morphometric analysis of human face. However, there are few studies on landmark localization of 3d scan images based on deep learning. The methods based on 2d images cannot be directly applied due to the non-Euclidean data structure. In this paper, we propose an end-to-end learning framework to automatically localize 28 landmarks on 3dMd scans, called FST-Net. Our method extracts features from texture images and mesh models. New texture mappings for 3dMd scans are generated by projection to fuse texture and structure features. A dual-branch network integrating transformers is applied to predict the landmark heatmaps from coarse to fine. A local coordinate regression module based on probabilistic distance and heatmap predictions is proposed to compute the landmark coordinates. We collect and annotate 297 3dMd face scans from the clinic to evaluate our model. Experiments show that the average localization error of the model is 1.204mm (the clinically acceptable precision range is 1.5 mm), and the correct landmark detection rate equals to 70.89%. Our model outperforms the current state-of-the-art deep learning methods for landmark localization on the mesh model.

关键词： 3d morphometric analysis 3dMd facial soft tissue landmark localization geometric deep learning

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Spontaneous Bone Regeneration of Post-Enucleation defects of Osteolytic Lesions in the Mandible: A digital Three-dimensional morphometric analysis

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Journal of stomatology, oral and maxillofacial surgery 2025年 102411页

作者： Pierluigi Mariani diana Russo Lucio Lo Russo Gabriele Liberti dardo Menditti Luigi Laino Multidisciplinary Department of Medical-Surgical and Odontostomatological Specialties University of Campania "Luigi Vanvitelli" Naples Italy. Electronic address: pierluigi.mariani@unicampania.it. Multidisciplinary Department of Medical-Surgical and Odontostomatological Specialties University of Campania "Luigi Vanvitelli" Naples Italy. Department of Clinical and Experimental Medicine School of Dentistry University of Foggia Foggia Italy.

BACKGROUNd:Spontaneous bone regeneration after enucleation of osteolytic lesions in the mandible is crucial for healing bone defects. understanding when spontaneous bone regeneration suffices can help clinicians make informed decisions. PURPOSE:This study aimed to assess the extent of spontaneous bone regeneration in post-enucleation mandibular osteolytic lesion cavities using a 3d digital approach. Secondary objectives included identifying factors like age, lesion size, and anatomical site that could influence regeneration. STUdY dESIGN:The study included patients aged 18-65 years who underwent enucleation of an osteolytic mandibular lesion, with available pre-treatment and follow-up CBCT scans. MAIN OUTCOMES:The primary outcome was the percentage of regenerated bone volume (%RBV), calculated using 3d-volumetric analysis. Secondary outcomes included age, gender, lesion volume and site, number of extracted teeth, bone-wall involvement, and follow-up. RESULTS:The study involved 20 patients, with a mean age of 40.1 ± 16.06 years. %RBV ranged from 32% to 97%, with a mean of 66.95%. Significant predictors of regeneration included age, lesion site, and bone wall involvement. CONCLUSIONS:Spontaneous bone regeneration can often achieve significant healing even in large defects; understanding the factors influencing this process can guide treatment strategies and improve clinical outcomes.

关键词： 3d morphometric analysis Bone defect Mandible Osteolytic lesions Spontaneous Bone Regeneration

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Mirror Mirror on the Wall ... An Unobtrusive Intelligent Multisensory Mirror for Well-Being Status Self-Assessment and Visualization

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IEEE TRANSACTIONS ON MULTIMEdIA 2017年第7期19卷 1467-1481页

作者： Henriquez, Pedro Matuszewski, Bogdan J. Andreu-Cabedo, Yasmina Bastiani, Luca Colantonio, Sara Coppini, Giuseppe d'Acunto, Mario Favilla, Riccardo Germanese, danila Giorgi, daniela Marraccini, Paolo Martinelli, Massimo Morales, Maria-Aurora Pascali, Maria Antonietta Righi, Marco Salvetti, Ovidio Larsson, Marcus Stromberg, Tomas Randeberg, Lise Bjorgan, Asgeir Giannakakis, Giorgos Pediaditis, Matthew Chiarugi, Franco Christinaki, Eirini Marias, Kostas Tsiknakis, Manolis Univ Cent Lancashire Preston PR1 2HE Lancs England CNR IFC Inst Clin Physiol I-56124 Pisa Italy CNR ISTI Inst Informat Sci & Technol I-56124 Pisa Italy CNR ISM Inst Struct Matter I-00185 Rome Italy Linkoping Univ S-58183 Linkoping Sweden Norwegian Univ Sci & Technol N-7491 Trondheim Norway Fdn Res & Technol Hellas Inst Comp Sci Iraklion 70013 Greece Technol Educ Inst Crete Dept Informat Engn Iraklion 71410 Greece

A person's well-being status is reflected by their face through a combination of facial expressions and physical signs. The SEMEOTICONS project translates the semeiotic code of the human face into measurements and computational descriptors that are automatically extracted from images, videos, and three-dimensional scans of the face. SEMEOTICONS developed a multisensory platform in the form of a smart mirror to identify signs related to cardio-metabolic risk. The aim was to enable users to self-monitor their well-being status over time and guide them to improve their lifestyle. Significant scientific and technological challenges have been addressed to build the multisensory mirror, from touchless data acquisition, to real-time processing and integration of multimodal data.

关键词： Cardio-metabolic risk unobtrusive well-being monitoring multimodal data integration 3d face detection and tracking 3d morphometric analysis psychosomatic status recognition multispectral imaging breath analysis

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Wize Mirror - a smart, multisensory cardio-metabolic risk monitoring system

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COMPUTER VISION ANd IMAGE UNdERSTANdING 2016年 148卷 3-22页

作者： Andreu, Yasmina Chiarugi, Franco Colantonio, Sara Giannakakis, Giorgos Giorgi, daniela Henriquez, Pedro Kazantzaki, Eleni Manousos, dimitris Marias, Kostas Matuszewski, Bogdan J. Pascali, Maria Antonietta Pediaditis, Matthew Raccichini, Giovanni Tsiknakis, Manolis Univ Cent Lancashire Sch Comp Engn & Phys Sci Robot & Comp Vis Res Lab Preston PR1 2HE Lancs England Natl Res Council Italy Inst Informat Sci & Technol Via G Moruzzi 1 I-56124 Pisa Italy Fdn Res & Technol Hellas FORTH Inst Comp Sci N Plastira 100 GR-70013 Iraklion Crete Greece Technol Educ Inst Crete Biomed Informat & eHlth Lab GR-71004 Iraklion Crete Greece

In the recent years personal health monitoring systems have been gaining popularity, both as a result of the pull from the general population, keen to improve well-being and early detection of possibly serious health conditions and the push from the industry eager to translate the current significant progress in computer vision and machine learning into commercial products. One of such systems is the Wize Mirror, built as a result of the FP7 funded SEMEOTICONS (SEMEiotic Oriented Technology for Individuals CardiOmetabolic risk self-assessmeNt and Self-monitoring) project. The project aims to translate the semeiotic code of the human face into computational descriptors and measures, automatically extracted from videos, multispectral images, and 3d scans of the face. The multisensory platform, being developed as the result of that project, in the form of a smart mirror, looks for signs related to cardio-metabolic risks. The goal is to enable users to self-monitor their well-being status over time and improve their life-style via tailored user guidance. This paper is focused on the description of the part of that system. utilising computer vision and machine learning techniques to perform 3d morphological analysis of the face and recognition of psycho-somatic status both linked with cardio-metabolic risks. The paper describes the concepts, methods and the developed implementations as well as reports on the results obtained on both real and synthetic datasets. (C) 2016 The Authors. Published by Elsevier Inc.

关键词： Unobtrusive health monitoring 3d face detection Tracking and reconstruction 3d morphometric analysis Psycho-somatic status recognition Multimodal data integration

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MIRROR MIRROR ON THE WALL... AN INTELLIGENT MULTISENSORY MIRROR FOR WELL-BEING SELF-ASSESSMENT

MIRROR MIRROR ON THE WALL... AN INTELLIGENT MULTISENSORY MIR...

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IEEE International Conference on Multimedia and Expo (ICME)

作者： Andreu-Cabedo, Yasmina Castellano, Pedro Colantonio, Sara Coppini, Giuseppe Favilla, Riccardo Germanese, danila Giannakakis, Giorgos Giorgi, daniela Larsson, Marcus Marraccini, Paolo Martinelli, Massimo Matuszewski, Bogdan Milanic, Matijia Pascali, Mariantonietta Pediaditis, Mattew Raccichini, Giovanni Randeberg, Lise Salvetti, Ovidio Stromberg, Tomas Univ Cent Lancashire Preston Lancs England Natl Res Council Italy Pisa Italy Linkoping Univ Linkoping Sweden Fdn Res & Technol Inst Comp Sci Iraklion Greece Norvegian Univ Sci & Technol Trondheim Norway

ISBN: (纸本)9781479970827

The face reveals the healthy status of an individual, through a combination of physical signs and facial expressions. The project SEMEOTICONS is translating the semeiotic code of the human face into computational descriptors and measures, automatically extracted from videos, images, and 3d scans of the face. SEMEOTICONS is developing a multisensory platform, in the form of a smart mirror, looking for signs related to cardio-metabolic risk. The goal is to enable users to self-monitor their well-being status over time and improve their life-style via tailored user guidance. Building the multisensory mirror requires addressing significant scientific and technological challenges, from touch-less data acquisition, to real-time processing and integration of multimodal data.

关键词： Cardio-metabolic risk unobtrusive health monitoring 3d face detection and tracking 3d morphometric analysis multispectral imaging breath analysis psycho-somatic status recognition multimodal data integration

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Structural Adaptation of Trabecular Bone Revealed by Position Resolved analysis of Proximal Femora of different Primates

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ANATOMICAL RECORd-AdVANCES IN INTEGRATIVE ANATOMY ANd EVOLUTIONARY BIOLOGY 2011年第1期294卷 55-67页

作者： Saparin, Peter Scherf, Heike Hublin, Jean-Jacques Fratzl, Peter Weinkamer, Richard Univ Tubingen Ctr Archaeol Sci Senckenberg Ctr Human Evolut & Palaeoecol Dept Paleoanthropol D-72070 Tubingen Germany Max Planck Inst Colloids & Interfaces Dept Biomat Potsdam Germany Max Planck Inst Evolutionary Anthropol Dept Human Evolut Leipzig Germany

The anisotropic arrangement of trabeculae in the proximal femur of humans and primates is seen as striking evidence for the functional adaptation of trabecular bone architecture. Quantitative evidence to demonstrate this adaptation for trabecular bone is still scarce, because experimental design of controlled load change is difficult. In this work, we use the natural variation of loading caused by a different main locomotor behavior of primates. Using high-resolution computed tomography and advanced image analysis techniques, we analyze the heterogeneity of the architecture in four proximal femora of four primate species. Although the small sample number does not allow an interspecies comparison, the very differently loaded bones are well suited to search for common structural features as a result of adaptation. A cubic volume of interest of size (5 mm) 3 was moved through the proximal femur and a morphometric analysis including local anisotropy was performed on 209 positions on average. The correlation of bone volume fraction (BV/TV) with trabecular number (Tb.N) and trabecular thickness (***) leads to the suggestion of two different mechanisms of trabecular bone adaptation. Higher values of BV/TV in highly loaded regions of the proximal femur are due to a thickening of the trabeculae, whereas Tb.N does not change. In less loaded regions, however, lower values of BV/TV are found, caused by a reduction of the number of the trabeculae, whereas *** remains constant. This reduction in Tb.N goes along with an increase in the degree of anisotropy, indicating an adaptive selection of trabeculae. Anat Rec, 294:55-67, 2011. (C) 2010 Wiley-Liss, Inc.

关键词： trabecular architecture anisotropy high-resolution computed tomography structural adaptation 3d morphometric analysis

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