Zobrazeno 1 - 10
of 507
pro vyhledávání: '"P. Richi"'
Autor:
Bashar, Md Abul, Nayak, Richi
Anomaly detection in time series data, to identify points that deviate from normal behaviour, is a common problem in various domains such as manufacturing, medical imaging, and cybersecurity. Recently, Generative Adversarial Networks (GANs) are shown
Externí odkaz:
http://arxiv.org/abs/2308.06663
Publikováno v:
Journal of Inflammation Research, Vol Volume 17, Pp 5821-5854 (2024)
Pair Ahmed Jiko,1 Mahathir Mohammad,1 Fahmida Tasnim Richi,2 Md. Anisul Islam,3 Safaet Alam,2,4 Mohammad Abdullah Taher,2,5 Chuxiao Shao,6 Shuanghu Wang,6 Peiwu Geng,6 Abdullah Al Mamun6 1Department of Chemistry, Chittagong University of Engineering
Externí odkaz:
https://doaj.org/article/f84fcb7e7d954bdbbdf2aa1254dc870e
Publikováno v:
Social Science Computer Review (2023)
Among the pressing issues facing Australian and other First Nations peoples is the repatriation of the bodily remains of their ancestors, which are currently held in Western scientific institutions. The success of securing the return of these remains
Externí odkaz:
http://arxiv.org/abs/2303.14475
Autor:
Marcus N. Leiwe, Satoshi Fujimoto, Toshikazu Baba, Daichi Moriyasu, Biswanath Saha, Richi Sakaguchi, Shigenori Inagaki, Takeshi Imai
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-19 (2024)
Abstract Fluorescence imaging is widely used for the mesoscopic mapping of neuronal connectivity. However, neurite reconstruction is challenging, especially when neurons are densely labelled. Here, we report a strategy for the fully automated reconst
Externí odkaz:
https://doaj.org/article/e64fe016e44249c6a48e1157332b569c
Autor:
Joyeeta T. Khan, Anika E. Richi, Sanjida A. Riju, Tanjila Jalal, Rejwana J. Orchi, Smita Singh, Phulgen Bhagat, Yasser H. A. Abdel-Wahab, Prawej Ansari
Publikováno v:
Endocrines, Vol 5, Iss 2, Pp 137-152 (2024)
Mangifera indica (Anacardiaceae family) is renowned for its diverse pharmacological properties, encompassing antidiabetic, antioxidant, and anti-inflammatory effects. The present study delves into the insulin-releasing and glucose-lowering potential
Externí odkaz:
https://doaj.org/article/23133a866d394896b37796bd32f9b421
Autor:
Safaet Alam, Fahmida Tasnim Richi, Hasin Hasnat, Firoj Ahmed, Nazim Uddin Emon, Md. Jasim Uddin, G. M. Masud Rana, Shuanghu Wang, Mst. Sarmina Yeasmin, Nazim Uddin Ahmed, Md. Salim Khan, Abdullah Al Mamun
Publikováno v:
Frontiers in Pharmacology, Vol 15 (2024)
Introduction:Colocasia affinis Schott (Family: Araceae), found in the Asian region, is a traditional root vegetable consumed by the locals and well-known as Dwarf Elephant Ear.Methods: For the pharmacological exploration of this root vegetable, four
Externí odkaz:
https://doaj.org/article/77d29cb19f6c467b8484dae2dfd523bb
Autor:
Yu Ohkubo, Toshiyuki Okubo, Yusuke Asari, Yuki Matsuzaka, Mayuka Kitaguchi, Saori Shiota, Richi Fujita, Koichiro Okamoto, Hiroto Obata, Yukiko Kishida, Toshitaka Nagao
Publikováno v:
Radiology Case Reports, Vol 19, Iss 3, Pp 1068-1072 (2024)
We present a 76-year-old female with a 6-year history of decreased vision in the right eye and right-sided facial neuralgia. She had a T1 isointense and T2 isointense enhancing lesion in the right orbit and the middle cranial fossa on MRI examination
Externí odkaz:
https://doaj.org/article/840cc084f4624d01b7ec5ff8015c037e
Publikováno v:
Journal of King Saud University: Science, Vol 36, Iss 5, Pp 103174- (2024)
Landslide is a considerable geomorphological risk in terrain systems worldwide. Advanced techniques present a unique tool for predicting landslide susceptibility with unbiased and precise outputs. However, the application of this tool to analyze land
Externí odkaz:
https://doaj.org/article/05978798845f483da773b0ede0d940b8
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-9 (2023)
Abstract The NECTAR instrument provides access to thermal and fast neutrons which are suitable for non-destructive inspection of large and dense objects. Scintillators are used in combination with a camera system for radiography and tomography. Gamma
Externí odkaz:
https://doaj.org/article/1d8bd3dba3794f81a4385bf6f12377e7
Publikováno v:
Data Science and Engineering, Vol 9, Iss 1, Pp 5-25 (2023)
Abstract Generative adversarial networks (GANs) have demonstrated their effectiveness in generating temporal data to fill in missing values, enhancing the classification performance of time series data. Longitudinal datasets encompass multivariate ti
Externí odkaz:
https://doaj.org/article/e0dcc590a87a451a926aae7b8d139042