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4D live tracing reveals distinct movement trajectories of meiotic chromosomes.
Life Med
December 2024
Co-innovation Center of Neuroregeneration, Nantong University, Nantong 226001, China.
Proper chromosome alignment at the spindle equator is a prerequisite for accurate chromosome segregation during cell division. However, the chromosome movement trajectories prior to alignment remain elusive. Here, we established a 4D imaging analysis framework to visualize chromosome dynamics and develop a deep-learning model for chromosome movement trajectory classification.
View Article and Find Full Text PDFOptimizing adsorption and photocatalysis for tetracycline and sulfamethoxazole removal: the role of Ag and NH in Bi-MOF derivatives.
RSC Adv
January 2025
Department of Food Science and Biotechnology, Gachon University 1342 Seongnamdaero Sujeong-gu Seongnam-si 13120 Republic of Korea
This study focuses on the synthesis, characterization, and evaluation of the photocatalytic efficiency of bismuth-based metal-organic frameworks (Bi-MOFs) and their derivatives, specifically Ag/Bi-MOF and NH /Ag/Bi-MOF, in the degradation of tetracycline (TC) and sulfamethoxazole (SMX) under visible light irradiation. Bi-MOFs are promising photocatalysts due to their large surface area, tunable porosity, and unique electronic properties that are favorable for visible light absorption. In this study, Bi-MOFs were synthesized using a solvothermal method, with the incorporation of silver (Ag) and ammonium (NH ) ions to enhance their photocatalytic performance.
View Article and Find Full Text PDFscHiClassifier: a deep learning framework for cell type prediction by fusing multiple feature sets from single-cell Hi-C data.
Brief Bioinform
November 2024
School of Software, Shandong University, No. 1500, Shunhua Road, Hi-Tech Industrial Development Zone, Jinan 250100, Shandong, China.
Single-cell high-throughput chromosome conformation capture (Hi-C) technology enables capturing chromosomal spatial structure information at the cellular level. However, to effectively investigate changes in chromosomal structure across different cell types, there is a requisite for methods that can identify cell types utilizing single-cell Hi-C data. Current frameworks for cell type prediction based on single-cell Hi-C data are limited, often struggling with features interpretability and biological significance, and lacking convincing and robust classification performance validation.
View Article and Find Full Text PDFTetracycline removal from aqueous media and hospital wastewater using a magnetic composite of mango lignocellulosic kernel biochar/MnFeO/Cu@Zn-BDC MOF.
Int J Biol Macromol
January 2025
Department of Mechanical Engineering, Faculty of Engineering, Xi'an Technological University, Shaanxi, China. Electronic address:
This study explored the use of mango lignocellulosic kernel biochar (MKB) modified with MnFeO magnetic nanoparticles and a Cu@Zn-BDC metal-organic framework (MOF) (MKB/MnFeO/Cu@Zn-BDC MOF) for tetracycline (TC) removal from aqueous solutions and hospital wastewater. The modified biochar exhibited strong magnetic properties (19.803 emu/g) and a specific surface area of 30.
View Article and Find Full Text PDFAdsorption Removal of NO Under Low-Temperature and Low-Concentration Conditions: A Review of Adsorbents and Adsorption Mechanisms.
Adv Mater
December 2024
City University of Hong Kong Shenzhen Research Institute, 8 Yuexing 1st Road, Shenzhen Hi-Tech Industrial Park, Nanshan District, Shenzhen, 518000, China.
The efficient mitigation of harmful nitrogen oxides (NO) under ambient conditions remains a challenging task. Selective adsorption offers a viable solution for the capture of low-concentration NO from the polluted stream at low temperatures. This review summarizes recent progress in the development of NO adsorbents, delves into the understanding of adsorption mechanisms, and discusses the criteria for evaluating their performance.
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