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Sadeq A. A. Alkhadher, Hussein E. Al-Hazmi, Suhaimi Suratman, Mohamad P. Zakaria, Najat Masood, Bartosz Szelag, Sami M. Magam, Ebrahim H. H. Al-Qadami, Joanna Majtacz, Przemyslaw Kowal, Tonni A. Kurniawan, Sameer A. M. Abdulrahman and Saeed S. Albaseer
In this study, the use of linear alkylbenzenes (LABs) was employed to pinpoint the sources of human activity that cause detrimental impacts on the coastal environment and river ecosystems. LABs were detected using GC?MS in sediment samples assembled from...
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Thomas P. Oghalai, Ryan Long, Wihan Kim, Brian E. Applegate and John S. Oghalai
Optical Coherence Tomography (OCT) is a light-based imaging modality that is used widely in the diagnosis and management of eye disease, and it is starting to become used to evaluate for ear disease. However, manual image analysis to interpret the anatom...
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Asad Masood, Naeem Ahmed, Fatima Shahid, M. F. Mohd Razip Wee, Anuttam Patra and Kim S. Siow
Medical devices are often vulnerable to colonization by nosocomial pathogens (bacteria), leading to infections. Traditional sterilization methods may not always be effective, and as a result, alternative options are being explored to prevent microbial co...
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Diksha Chaturvedi, Deepti Bharti, Somali Dhal, Deblu Sahu, Haladhar Behera, Minaketan Sahoo, Doman Kim, Maciej Jarzebski, Arfat Anis, Biswaranjan Mohanty, Sai S. Sagiri and Kunal Pal
This study investigated the effects of incorporating stearic acid (SAC) in candelilla wax (CW) and groundnut oil (GO) oleogel with potential health benefits as an alternative to saturated fats in processed foods. Results showed that SAC possesses crystal...
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Jong Woo Kim, Marc Messerschmidt and William S. Graves
We present a supervised deep neural network model for phase retrieval of coherent X-ray imaging and evaluate the performance. A supervised deep-learning-based approach requires a large amount of pre-training datasets. In most proposed models, the various...
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Jong Woo Kim, Marc Messerschmidt and William S. Graves
We present a deep learning-based generative model for the enhancement of partially coherent diffractive images. In lensless coherent diffractive imaging, a highly coherent X-ray illumination is required to image an object at high resolution. Non-ideal ex...
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Huichan Kim and Sunho Park
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Maria N. Koryazhkina, Dmitry O. Filatov, Stanislav V. Tikhov, Alexey I. Belov, Dmitry S. Korolev, Alexander V. Kruglov, Ruslan N. Kryukov, Sergey Yu. Zubkov, Vladislav A. Vorontsov, Dmitry A. Pavlov, David I. Tetelbaum, Alexey N. Mikhaylov, Sergey A. Shchanikov, Sungjun Kim and Bernardo Spagnolo
Nowadays, memristors are of considerable interest to researchers and engineers due to the promise they hold for the creation of power-efficient memristor-based information or computing systems. In particular, this refers to memristive devices based on th...
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Chansong Hwang, Changyeun Mo, Youngwook Seo, Jongguk Lim, Insuck Baek and Moon S. Kim
With increasing public demand for ready-to-eat fresh-cut food products, proper sanitation of food-processing equipment surfaces is essential to mitigate potential contamination of these products to ensure safe consumption. This study presents a sanitatio...
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Steve Pahno, Jidong J. Yang and S. Sonny Kim
Modern machine learning methods, such as tree ensembles, have recently become extremely popular due to their versatility and scalability in handling heterogeneous data and have been successfully applied across a wide range of domains. In this study, two ...
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