Article
Chemistry, Physical
Mihir Ghosh, Ramprasad Misra, Sudeshna Bhattacharya, Koushik Majhi, Kwang-Hwan Jung, Mordechai Sheves
Summary: This study reports a highly stable protein-carotenoid conjugate for photosynthesis, which can increase the thermal stability of the protein. These findings have implications for designing stable protein-carotenoid antenna complexes.
JOURNAL OF PHYSICAL CHEMISTRY B
(2023)
Article
Chemistry, Multidisciplinary
Xu Zhang, Zijie Wei, Lei Yu
Summary: We unexpectedly discovered that aldehydes could serve as catalyst precursors for the epoxidation of beta-ionone, resulting in a 83% yield of 5,6-epoxy-beta-ionone. Notably, this reaction took place in water and utilized molecular oxygen (O-2) as a mild, inexpensive, and safe oxidant. To the best of our knowledge, this aerobic epoxidation in water represents a novel reaction, potentially opening up new possibilities for the development of green oxidation methods.
REACTION CHEMISTRY & ENGINEERING
(2023)
Article
Polymer Science
Guangyong Zhu, Guangxu Zhu, Zuobing Xiao
Summary: Beta-ionone, with a violet-like odor, is a significant flavor component and potential anticancer agent. Encapsulation of beta-ionone in HP-beta-CD improves solubility, stability, and release characteristics. The formation constants and thermodynamics of the inclusion complex were explored, revealing enhanced thermal stability and controlled release properties.
Article
Chemistry, Physical
Angel Pineiro, James Pipkin, Vince Antle, Rebeca Garcia-Fandino
Summary: Modified cyclodextrins (CDs) are used as enabling excipients in pharmaceutical formulations to improve solubility and stability of drugs. The affinity between CDs and drugs should be balanced for optimal formulation. This study investigates the effect of substitutions on complexation using sulphobutylether-beta-cyclodextrin and remdesivir as a case study, providing insights for the optimization of formulations based on modified CDs.
JOURNAL OF MOLECULAR LIQUIDS
(2022)
Article
Microbiology
Shuyi Chen, Yanping Lu, Wen Wang, Yunzi Hu, Jufang Wang, Shixing Tang, Carol Sze Ki Lin, Xiaofeng Yang
Summary: This study demonstrates the feasibility of establishing a natural compound supply chain in a biorefinery. The process involves the hydrolysis of food and agricultural waste into fermentative sugars, followed by fermentation to produce more complex molecules. The engineered yeast strain used in the study successfully increased the production of the aroma compound beta-ionone. This integrated process could potentially convert inedible food and agricultural waste into valuable aroma compounds on a large-scale.
FRONTIERS IN MICROBIOLOGY
(2022)
Article
Biochemistry & Molecular Biology
Pooya Khosravi, Nolan A. Huck, Kourosh Shahraki, Stephen C. Hunter, Clifford Neil Danza, So Young Kim, Brian J. Forbes, Shuan Dai, Alex V. Levin, Gil Binenbaum, Peter D. Chang, Donny W. Suh
Summary: Diagnosing retinal hemorrhages in pediatric patients is a challenge for ophthalmologists. In recent research, deep learning techniques have shown potential in accurately identifying the underlying causes of these hemorrhages. The study analyzed a large dataset of retinal hemorrhage fundus photos using deep learning models and found the best-performing models in terms of accuracy and sensitivity. However, while AI is valuable in diagnosing the etiologies of retinal hemorrhages, the expertise of medical professionals remains crucial.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2023)
Article
Chemistry, Organic
Thangeswaran Ramar, Andivelu Ilangovan, Nicholas A. Meanwell, Murugaiah A. M. Subbaiah
Summary: This study demonstrates an umpolung approach to expand synthetic access to bifunctional y-keto hydrazine intermediates, using an electrophilic amination reaction. The reaction proceeds under mild conditions and allows the synthesis of various organic compounds.
JOURNAL OF ORGANIC CHEMISTRY
(2022)
Article
Psychiatry
Abhishek Appaji, Vaishak Harish, Vittal Korann, Priyanka Devi, Arpitha Jacob, Anantha Padmanabha, Vijay Kumar, Shivarama Varambally, Ganesan Venkatasubramanian, Shyam Vasudeva Rao, H. N. Suma, Caroll A. B. Webers, Tos T. J. M. Berendschot, Naren P. Rao
Summary: Psychiatric diagnosis still relies on subjective symptom reports, but recent studies have found retinal vascular abnormalities in patients with schizophrenia. This study used deep learning to analyze retinal fundus images and achieved high accuracy and AUC values for classifying schizophrenia patients, suggesting the potential utility of deep learning in assisting with diagnosis.
SCHIZOPHRENIA RESEARCH
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Buket Toptas, Murat Toptas, Davut Hanbay
Summary: Optic disc localization is crucial for detecting other retinal components and preventing sudden vision loss. This paper proposes an automated method that achieves clear localization by using a new color space. The method shows high accuracy rates in various datasets.
JOURNAL OF DIGITAL IMAGING
(2022)
Article
Multidisciplinary Sciences
Ling-Ping Cen, Jie Ji, Jian-Wei Lin, Si-Tong Ju, Hong-Jie Lin, Tai-Ping Li, Yun Wang, Jian-Feng Yang, Yu-Fen Liu, Shaoying Tan, Li Tan, Dongjie Li, Yifan Wang, Dezhi Zheng, Yongqun Xiong, Hanfu Wu, Jingjing Jiang, Zhenggen Wu, Dingguo Huang, Tingkun Shi, Binyao Chen, Jianling Yang, Xiaoling Zhang, Li Luo, Chukai Huang, Guihua Zhang, Yuqiang Huang, Tsz Kin Ng, Haoyu Chen, Weiqi Chen, Chi Pui Pang, Mingzhi Zhang
Summary: The developed deep learning platform can effectively detect multiple retinal diseases and conditions, demonstrating high accuracy and efficiency.
NATURE COMMUNICATIONS
(2021)
Article
Polymer Science
Rong-hao Song, Zhi-hua Liu, Xue Geng, Lin Ye, Ai-ying Zhang, Zeng-guo Feng
Summary: The use of slide-ring (SR) structure as an energy dissipation unit has the potential to toughen and damp a variety of polymer materials.
Article
Materials Science, Ceramics
C. Ruiz-Aguilar, U. Olivares-Pinto, I Alfonso
Summary: In this study, six different compositions of β-TCP scaffolds were produced using sodium chloride as a porogen at varying concentrations. The scaffolds showed promising physical, chemical, mechanical, and in vitro properties, with the formation of new crystalline phases and favorable bioactivity observed.
CERAMICS INTERNATIONAL
(2021)
Article
Medicine, General & Internal
Nergis C. Khan, Chandrashan Perera, Eliot R. Dow, Karen M. Chen, Vinit B. Mahajan, Prithvi Mruthyunjaya, Diana Do, Theodore Leng, David Myung
Summary: Fundus images can be used to predict systemic features of patients, and models utilizing transfer learning from ImageNet outperform those using retinal images. Fundus images contain valuable information about the systemic characteristics of a patient.
Article
Computer Science, Artificial Intelligence
Adnan Haider, Muhammad Arsalan, Min Beom Lee, Muhammad Owais, Tahir Mahmood, Haseeb Sultan, Kang Ryoung Park
Summary: Glaucoma, a common chronic disease causing irreversible vision loss, is the focus of research on computer-aided diagnosis. This study proposes two networks, SLS-Net and SLSR-Net, for accurate segmentation of the optic cup and optic disc in retinal fundus images. By minimizing spatial information loss and using external residual connections, these networks achieve high segmentation accuracy.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Ophthalmology
Timothy H. M. Fung, Neville C. R. A. John, Jean-Yves Guillemaut, David Yorston, David Frohlich, David H. W. Steel, Tom H. Williamson
Summary: This study developed an automated deep learning model to predict the anatomical outcome of rhegmatogenous retinal detachment surgery. By using a large dataset of digital images, the model was able to accurately predict the surgical outcome.
GRAEFES ARCHIVE FOR CLINICAL AND EXPERIMENTAL OPHTHALMOLOGY
(2023)