Article
Engineering, Multidisciplinary
Mohammad Kohestanian, Masoud Hasany, Azar Najafi Tireh Shabankareh, Mehdi Mehrali
Summary: Health monitoring systems with stretchable sensors can provide real-time feedback on physical activity, stress levels, and overall well-being. This article presents a programmable, user-friendly, and versatile 3D-printed setup designed for measuring the strain and strain sensitivity of soft electronic materials. The setup includes a computer (or mobile), an impedance analyzer, and a strain machine, providing clear instructions and a build manual for constructing an affordable and user-friendly strain machine.
ALEXANDRIA ENGINEERING JOURNAL
(2023)
Article
Dentistry, Oral Surgery & Medicine
Po-Hsu Chen, Julius C. Seidenfaden, Michael T. Kase, Iradj Sooudi
Summary: A custom flexible internal nasal dilator can be designed using digital technology to create a partial nasal prosthesis that maintains airway and improves quality of life aesthetically and functionally.
JOURNAL OF PROSTHETIC DENTISTRY
(2021)
Article
Materials Science, Ceramics
Shijia Li, Chonggao Bao, Rongzhen Liu, Wencai Dong, Haiqiang Ma, Yunqing Jia
Summary: By investigating the effects of different additives and solid loading on the cordierite precursor pastes, the fabrication of customized porous cordierite ceramics was successfully achieved.
CERAMICS INTERNATIONAL
(2022)
Article
Dentistry, Oral Surgery & Medicine
Ariel J. Raigrodski
Summary: The article discusses a technique for atraumatic fabrication of interim veneers using a custom clear matrix, which can be used multiple times during the patient's restorative care.
JOURNAL OF PROSTHETIC DENTISTRY
(2022)
Article
Chemistry, Analytical
Sujeet Kumar Chaubey, Neelesh Kumar Jain, Kapil Gupta
Summary: This paper presents the development of a lightweight aluminium gear of miniature size using wire-assisted thermoelectric erosion machining (WTEM). The experiment successfully confirmed the manufacturing quality parameters and surface roughness of the miniature gear, while investigating the influence of WTEM parameters on surface roughness.
Article
Materials Science, Multidisciplinary
Md Fahim Salek, Vinita V. Shinde, Bryan S. Beckingham, Lauren E. Beckingham
Summary: This study successfully realized the resin-based 3D printing of reactive porous media using digital light projection (DLP) technology. Printed samples were imaged in 3D using X-ray micro computed tomography (mu CT), and the porosities of the printed samples were consistent with the original mesh. Calcite volume fractions were in agreement with the resin mixture, and the calcite accessible surface areas were similar to published values for real sandstones. Calcite dissolution was observed in acidic batch experiments, indicating its surface reactivity.
Article
Dentistry, Oral Surgery & Medicine
Ju-Hyoung Lee
Summary: This article presents a digital workflow for designing a custom tray by using an opensource software program, which is still useful particularly when making a definitive impression of multiple abutment teeth.
JOURNAL OF PROSTHETIC DENTISTRY
(2021)
Article
Nanoscience & Nanotechnology
Yong Wang, Shuming Ye, Ziwei Sun, Jiajun Zhu, Ye Liu, Rongfei Wang, Feng Lin, Wenhua Zhang, Yu Yang, Chong Wang
Summary: By varying the position of fluorine atoms, the passivation effects of Lewis bases can be regulated. It was found that ortho-substituted fluorine weakens the passivating effect and accelerates the degradation of device performance. On the other hand, meta-substituted fluorine exhibits superior efficacy in suppressing defects and enhancing hydrophobicity.
ACS APPLIED MATERIALS & INTERFACES
(2023)
Article
Thermodynamics
Tomasz S. Wisniewski
Summary: Thermal contact resistance is an important phenomenon in heat transfer and impacts many fields of technology. This paper presents an experimental study on the thermal contact conductance of joints created by static contact of metallic surfaces. The study revealed that existing correlations in the literature often overestimate the predicted thermal contact conductance and further investigation is needed, especially for a certain range of surface microgeometry parameters.
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2023)
Article
Optics
Lixia Wang, Aditya Sole, Jon Yngve Hardeberg, Xiaoxia Wan
Summary: The accuracy of recovered spectra from camera responses depends on the spectral estimation algorithm, camera and filters selected, and the light source used. Comparison of different light source spectrum optimization methods showed that multi-population genetic algorithm (MPGA) has superior performance, providing more accurate spectral reflectance estimation.
Review
Engineering, Biomedical
Qi Chen, Donghui Zhang, Jiawei Gu, Haodong Zhang, Xue Wu, Chuntao Cao, Xinyue Zhang, Runhui Liu
Summary: This study highlights the negative impact of nonspecific protein adsorption and cell adhesion on the surface of biological materials and detecting devices, emphasizing the importance of choosing appropriate antifouling surfaces, structures, and grafting methods. Researchers have continuously studied antifouling strategies to minimize background noise and effectively present the function of bioactive molecules on surfaces.
ACTA BIOMATERIALIA
(2021)
Article
Dentistry, Oral Surgery & Medicine
Miguel Gomez-Polo, Marta Revilla-Leon, Alvaro Limones, Rocio Cascos, Cristina Gomez-Polo, Rocio Ortega
Summary: This technique involves the use of a custom intraoral scan body to improve the reliability of intraoral digital scans for tooth-supported prostheses, reducing inaccuracies and eliminating manual laboratory procedures.
JOURNAL OF PROSTHODONTICS-IMPLANT ESTHETIC AND RECONSTRUCTIVE DENTISTRY
(2022)
Article
Chemistry, Inorganic & Nuclear
Changhai Liu, Yue Zhang, Ge Yin, Tiantian Shi, Yue Zhang, Zhidong Chen
Summary: In this study, hierarchical structures were constructed by encapsulating porous BiVO4 nanorod arrays with FeOOH and ZnFe layered double hydroxide (ZnFe LDH), aiming to achieve excellent transfer and separation of photogenerated electron-hole pairs. The as-prepared ternary photoanode, BVO/FeOOH/ZnFe LDH, exhibited enhanced visible light absorption, increased carrier density, lower charge transfer resistance, boosted charge injection, bulk separation efficiency, and enhanced PEC performance compared to bare BiVO4. This work provides insights for enhancing the visible light response and boosting PEC performance in BiVO4 heterostructural photoanodes.
INORGANIC CHEMISTRY FRONTIERS
(2022)
Article
Multidisciplinary Sciences
Thomas Lafargue-Tallet, Romain Vaucelle, Cyril Caliot, Abderezak Aouali, Emmanuelle Abisset-Chavanne, Alain Sommier, Raymond Peiffer, Christophe Pradere
Summary: This study develops a contactless infrared imaging technique based on the pyro-reflectometry approach and a specular model of material reflection to overcome emissivity and reflection issues. It enables the identification of emissivity fields and autocalibration of radiative intensity to obtain the absolute temperature field of any specular material.
SCIENTIFIC REPORTS
(2022)
Article
Crystallography
Katarzyna Peta, Michal Mendak, Tomasz Bartkowiak
Summary: This study aimed to determine the effect of discharge energy on the surface microgeometry of aluminum samples created by EDM, as well as to demonstrate differences between geometric multiscale methods. The results showed a strong correlation between the surface topography's geometric features and discharge energy, with the possibility of shaping surface microgeometry through varying energy levels. Despite significant differences, similarities in results were observed between curvature and length-scale methods.
Article
Computer Science, Software Engineering
Thomas W. Mitchel, Szymon Rusinkiewicz, Gregory S. Chirikjian, Michael Kazhdan
Summary: This paper introduces a novel local surface feature descriptor ECHO derived from extended convolution, which outperforms popular surface descriptors in feature matching and shape correspondence experiments, particularly demonstrating stability and distinctiveness under near-isometric deformations and complex environments.
COMPUTER GRAPHICS FORUM
(2021)
Article
Optics
Oskar Elek, Ran Zhang, Denis Sumin, Karol Myszkowski, Bernd Bickel, Alexander Wilkie, Jaroslav Krivanek, Tim Weyrich
Summary: This paper presents a novel measurement approach for indirectly inferring transport parameters of volumetric light from extrinsic observations, enabling accurate simulations of complex materials and precise reproduction of appearance in 3D printing. The method can potentially be used for obtaining spectral measurements for other application areas as well, without fundamental changes to the basic measurement methodology.
Article
Computer Science, Software Engineering
Jose Ezequiel Soto Sanchez, Tim Weyrich, Asla Medeiros e Sa, Luiz Henrique de Figueiredo
Summary: The paper introduces a representation method for periodic tilings of the plane using regular polygons, where all elements of the tiling are systematically generated from a small subset of seed vertices by translations. The concrete representation of a tiling is done using a (2 + n) x4 integer matrix containing lattice coordinates for two translation vectors and n seed vertices. Various properties of this representation are discussed, along with how to efficiently exploit it for reconstruction, rendering, and automatic crystallographic classification by symmetry detection.
COMPUTERS & GRAPHICS-UK
(2021)
Article
Computer Science, Software Engineering
B. R. Mallikarjun, Ayush Tewari, Abdallah Dib, Tim Weyrich, Bernd Bickel, Hans-Peter Seidel, Hanspeter Pfister, Wojciech Matusik, Louis Chevallier, Mohamed Elgharib, Christian Theobalt
Summary: This paper presents a method that learns from limited supervised training data for high-quality intuitive editing of camera viewpoint and scene illumination in head portraits; by operating in the generative model space of StyleGAN, combining the best of supervised learning and generative adversarial modeling, it achieves high-quality photorealistic editing of in-the-wild images.
ACM TRANSACTIONS ON GRAPHICS
(2021)
Article
Computer Science, Software Engineering
Alejandro Sztrajman, Gilles Rainer, Tobias Ritschel, Tim Weyrich
Summary: The article introduces a compact neural network-based representation of BRDF data that combines high-accuracy reconstruction with efficient practical rendering. Encoding BRDFs as lightweight networks and proposing a training scheme with adaptive angular sampling are critical for accurate reconstruction of specular highlights. Additionally, a novel approach is proposed to make the representation adaptable to importance sampling.
COMPUTER GRAPHICS FORUM
(2021)
Review
Chemistry, Applied
David Zargaran, Florence Zoller, Alexander Zargaran, Tim Weyrich, Afshin Mosahebi
Summary: This study provides a comprehensive overview of the pathways and mechanisms underlying facial ageing, including both intrinsic and extrinsic factors. These alterations in pathways result in negative changes in the skin such as wrinkles, increased laxity, and thinning. Understanding these mechanisms can help inform further research on slowing down or impeding the ageing process and developing new treatment strategies.
INTERNATIONAL JOURNAL OF COSMETIC SCIENCE
(2022)
Article
Computer Science, Software Engineering
Michal Piovarci, Michael Foshey, Jie Xu, Timmothy Erps, Vahid Babaei, Piotr Didyk, Szymon Rusinkiewicz, Wojciech Matusik, Bernd Bickel
Summary: Research shows that using reinforcement learning to learn closed-loop control policies can improve the efficiency of additive manufacturing. Through simulation and practice, it has been found that learning the behavioral patterns of deposition that correspond to real-world experiences can be achieved through approximate numerical simulation. The control policies obtained using reinforcement learning outperform baseline controllers and have minimal differences with real-world situations.
ACM TRANSACTIONS ON GRAPHICS
(2022)
Article
Humanities, Multidisciplinary
Charlie Willard, Nancy Wade, Matija Strli, John R. Gilchrist, Tim Weyrich, Adam Gibson
Summary: This paper introduces two approaches to correct dropped frames in line-scan cameras using the A* search algorithm. By comparing the two methods, it is found that aligning overlapping sections of images performs better than aligning to a reference image. These methods are then applied to mosaic high-resolution hyperspectral images of a cultural heritage painting, resulting in a composite image with high spatial and spectral resolution.
ACM JOURNAL ON COMPUTING AND CULTURAL HERITAGE
(2022)
Article
Robotics
Jimmy Wu, Xingyuan Sun, Andy Zeng, Shuran Song, Szymon Rusinkiewicz, Thomas Funkhouser
Summary: This study investigates pneumatic non-prehensile manipulation (i.e., blowing) as an efficient method for moving scattered objects into a target receptacle. Using a multi-frequency version of the spatial action maps framework in the context of deep reinforcement learning, the research tackles the challenges of adapting to unexpected changes, maintaining fine-grained control, and inferring long-range plans. Experimental results demonstrate that blowing achieves better performance than pushing and that the proposed policies improve performance over baselines. The study also shows that the system encourages emergent specialization between low-level fine-grained control and high-level planning.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2022)
Article
Surgery
David Zargaran, Alexander Zargaran, Tom Terranova, Helia Khaledi, Alexandra Robinson, Julie Davies, Tim Weyrich, Afshin Mosahebi
Summary: This paper provides a descriptive and qualitative analysis of the advertised practitioners in the injectables market in the UK. It identifies a diverse range of practitioners with different professional backgrounds and experiences, highlighting the potential impact on patient risks and the importance of introducing licensing to the industry.
JOURNAL OF PLASTIC RECONSTRUCTIVE AND AESTHETIC SURGERY
(2023)
Proceedings Paper
Computer Science, Artificial Intelligence
Qiang Zhang, Seung-Hwan Baek, Szymon Rusinkiewicz, Felix Heide
Summary: The proposed differentiable rendering algorithm significantly improves efficiency in memory and run-time compared to existing methods by utilizing a learned point representation. The method trains the model to reproduce a set of input training images with a given pose using a differentiable splat-based renderer.
PROCEEDINGS SIGGRAPH ASIA 2022
(2022)
Proceedings Paper
Computer Science, Artificial Intelligence
Fangyin Wei, Rohan Chabra, Lingni Ma, Christoph Lassner, Michael Zollhoefer, Szymon Rusinkiewicz, Chris Sweeney, Richard Newcombe, Mira Slavcheva
Summary: This research proposes a novel approach for learning the geometry, appearance, and motion representation of dynamic articulated objects, trained in a self-supervised manner without requiring articulation annotations. The model can independently control shape, appearance, and articulation codes, perform well for different joint types and combinations, and enable various applications.
2022 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2022)
(2022)
Proceedings Paper
Computer Science, Artificial Intelligence
David R. Walton, Koray Kavakli, Rafael Kuffner dos Anjos, David Swapp, Tim Weyrich, Hakan Urey, Anthony Steed, Tobias Ritschel, Kaan Aksit
Summary: In the study of computer-generated holography, we propose a new method that utilizes gaze-contingency and perceptual graphics to accelerate the development of practical holographic display systems. By inferring the user's focal depth and generating images only at their focus plane, we are able to improve foveal visual quality and reduce distortions in peripheral vision. We also introduce a novel metameric loss function for comparing image statistics and implement a model representing the relation between holograms and image reconstructions.
2022 IEEE CONFERENCE ON VIRTUAL REALITY AND 3D USER INTERFACES (VR 2022)
(2022)
Proceedings Paper
Computer Science, Artificial Intelligence
B. R. Mallikarjun, Ayush Tewari, Tae-Hyun Oh, Tim Weyrich, Bernd Bickel, Hans-Peter Seidel, Hanspeter Pfister, Wojciech Matusik, Mohamed Elgharib, Christian Theobalt
Summary: The study introduces a new neural representation for describing the reflectance properties of faces, enabling estimation of all reflectance components from a monocular image for better face rendering results.
2021 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, CVPR 2021
(2021)
Article
Computer Science, Software Engineering
Tobias Rittig, Denis Sumin, Vahid Babaei, Piotr Didyk, Alexey Voloboy, Alexander Wilkie, Bernd Bickel, Karol Myszkowski, Tim Weyrich, Jaroslav Krivanek
Summary: With the rise of full-color 3D printers, the need for color-accurate 3D-print preparation has increased, but traditional printing materials' translucency poses a challenge in maintaining color texture details. Our data-driven approach significantly speeds up the optimization process, achieving results similar in quality to Monte Carlo rendering but in a fraction of the time.
COMPUTER GRAPHICS FORUM
(2021)
