Hydroxyapatite nanoparticles-cell interaction: new approaches to disclose the fate of membrane-bound and internalised nanoparticles by Bonany, Mar, Pérez-Berná, Ana Joaquina, Dučić, Tanja, Pereiro, Eva, Martin-Gómez, Helena, Mas-Moruno, Carlos, van Rijt, Sabine, Zhao, Zhitong, Espanol, Montserrat, Ginebra, Maria-Pau

“…Hydroxyapatite nanoparticles are popular tools in bone regeneration, but they have also been used for gene delivery and as anticancer drugs. …”
Get full text

Choice of DLVO approximation method for quantifying the affinity between latex particles and membranes by Lay, Huang Teik, Ong, Chi Siang, Wang, Rong, Chew, Jia Wei

“…However, disagreements between membrane fouling extent and the interaction energies derived from DLVO or XDLVO models have been reported, which suggests gaps in the understanding. …”
Get full text

Phylogenomic analysis of the plastid genome of the Peruvian purple maize zea mays subsp. mays cv. 'INIA 601' by Montenegro, Juan D., Julca, Irene, Chumbe-Nolasco, Lenin D., Rodríguez-Pérez, Lila M., Panizo, Ricardo Sevilla, Medina-Hoyos, Alicia, Gutiérrez-Reynoso, Dina L., Guerrero-Abad, Juan Carlos, Guerra, Carlos A. Amasifuen, García-Serquén, Aura L.

“…Peru is an important center of diversity for maize; its different cultivars have been adapted to distinct altitudes and water availability and possess an array of kernel colors (red, blue, and purple), which are highly appreciated by local populations. …”
Get full text

Deep learning based solder joint defect detection on industrial printed circuit board X-ray images by Zhang, Qianru, Zhang, Meng, Gamanayake, Chinthaka, Yuen, Chau, Geng, Zehao, Jayasekara, Hirunima, Woo, Chia-wei, Low, Jenny, Liu, Xiang, Guan, Yong Liang

“…With the improvement of electronic circuit production methods, such as reduction of component size and the increase of component density, the risk of defects is increasing in the production line. Many techniques have been incorporated to check for failed solder joints, such as X-ray imaging, optical imaging and thermal imaging, among which X-ray imaging can inspect external and internal defects. …”
Get full text

Multimodal fusion for navigation of autonomous mobile robots using a deep learning method by Lee, Anthony Wen Hao

“…Although differential-drive robots possess collision avoidance capabilities, they usually face challenges in navigating human environments that are more crowded, thus there is a demand for better capabilities in differential-drive robots. Many studies have been done to explore new approaches such as using advanced sensor technologies and machine learning algorithms, which aims to improve the accuracy and efficiency of these collision-avoidance methods for robots. …”
Get full text

Exploring semantic information for deep image aesthetics assessment by Hou, Jingwen

“…However, what kinds of 'semantic information' have been captured by POC models are still unknown. Therefore, in the second work, we map visual semantic patterns captured by POC models to pre-defined textual tags to provide language-based descriptions of semantic information provided by an image, and construct aesthetic features from such language-based descriptions. …”
Get full text

Time-dependent metabolomics uncover dynamic metabolic adaptions in MCF-7 cells exposed to bisphenol A by Zhao, Haoduo., Liu, Min, Yang, Junjie, Chen, Yuyang, Fang, Mingliang

“…Up to now, very few dynamic metabolomics studies have been conducted to provide time-dependent mechanistic interpretations in understanding xenobiotics-induced cellular adaptations. …”
Get full text

Exploring molecular complexity by N-heterocyclic carbene organocatalysis: new activation and reaction diversity by Liu, Yonggui, Wang, Yanyan, Wu, Xingxing, Chi, Robin Yonggui

“…Over the past decades, N-heterocyclic carbene (NHC) organocatalysis has been extensively investigated to provide opportunities for a vast number of novel chemical transformations. …”
Get full text

Hot-carrier physics of transition-metal carbides and nitrides: insight from electronic structure by Liu, Tingting, Hu, Jun, Luo, Yu, Li, Xiaofeng

“…Hot-carrier photodetectors have been extensively studied in recent years, but still exhibit particularly low efficiencies. …”
Get full text

Exploring the ability of stroke survivors in using the contralesional hemisphere to control a brain-computer interface by Mansour, Salem, Giles, Joshua, Ang, Kai Keng, Nair, Krishnan P. S., Phua, Kok Soon, Arvaneh, Mahnaz

“…Brain-computer interfaces (BCIs) have recently been shown to be clinically effective as a novel method of stroke rehabilitation. …”
Get full text

Non-contact actuated snap-through buckling of a pre-buckled bistable hard-magnetic elastica by Zhang, Yingchao, Ma, Yinji, Yu, Jing, Gao, Huajian

“…Snap-through buckling of bistable structures is a classic topic in mechanics which has been widely studied and applied in various fields such as mechanical meta-materials and soft robotics. …”
Get full text

Multiscale topological indices for the quantitative prediction of SARS CoV-2 binding affinity change upon mutations by Bi, Jialin, Wee, JunJie, Liu, Xiang, Qu, Cunquan, Wang, Guanghui, Xia, Kelin

“…As far as we know, this is the first time multiscale topological indices have been used in the quantitative analysis of protein-protein interactions.…”
Get full text

Enhancing Landsat image based aboveground biomass estimation of black locust with scale bias-corrected LiDAR AGB map and stratified sampling by Qin, Shuhong, Wang, Hong, Li, Xiuneng, Gao, Jay, Jin, Jiaxin, Li, Yongtao, Lu, Jinbo, Meng, Pengyu, Sun, Jing, Song, Zhenglin, Donev, Petar, Ma, Zhangfeng

Get full text

Structural and magnetic interplay in multiferroic Ho₀.₅Nd₀.₅Fe₃(BO₃)₄ by Tripathy, A., Gautam, K., Dey, K., Sahu, S. R., Ahad, A., Upadhyay, A., Sagdeo, A., Francoual, S., Bereciartua, P. J., Gudim, I., Strempfer, J., Sathe, V. G., Shukla, D. K.

“…Among them Ho0.5Nd0.5Fe3(BO3)4 has attracted the most attention, as it exhibits a multiferroic property with a large, spontaneous, and magnetic-field-induced electric polarization (P) below the antiferromagnetic transition temperature (TN∼32 K). This compound has been reported to be noncentrosymmetric (nonpolar) down to the lowest temperature, and the origin of spontaneous electric polarization below TN is not known. …”
Get full text

Mercury: an automated remote side-channel attack to Nvidia deep learning accelerator by Yan, Xiaobei, Lou, Xiaoxuan, Xu, Guowen, Qiu, Han, Guo, Shangwei, Chang, Chip Hong, Zhang, Tianwei

“…DNN accelerators have been widely deployed in many scenarios to speed up the inference process and reduce the energy consumption. …”
Get full text
Get full text

Acidic corrosion behaviour of niobium-added welding overlays fabricated by self-shielded metal-cored wires by Liu, Dashuang, Wu, Yucheng, Long, Weimin, Wei, Ping, Wang, Rui, Zhou, Wei

“…Intensive research has been done on improving the wear resistance of high chromium alloys, however, studies into corrosion resistance of high chromium alloys are insufficient. …”
Get full text

Data-driven approach to spatiotemporal dynamic risk assessment of urban flooding based on shared socio-economic pathways by Wang, Mo, Chen, Furong, Zhang, Dongqing, Chen, Zijing, Su, Jin, Zhou, Shiqi, Li, Jianjun, Chen, Jintang, Li, Jiaying, Tan, Soon Keat

“…Accurately predicting possible flood-prone locations under the dynamic fluctuations of LULC is crucial for sustainable urban development. However, there has been sparse studies on systematic integration of LULC changes into anticipate urban development scenarios coupled with flooding vulnerability assessment. …”
Get full text

Referring expression segmentation: from conventional to generalized by Liu, Chang

“…In recent years, many remarkable achievements have been made in the field of deep machine learning in various data modalities, such as image processing and natural language comprehension. …”
Get full text

Learning a closed-loop policy for scooping task by Lau, Wei Quan

“…Therefore, a Dynamic Motion Primitives (DMP) based policy has been developed at Rehabilitation Research Institute Singapore (RRIS) for food scooping. …”
Get full text

Transferring a deep learning model from healthy subjects to stroke patients in a motor imagery brain-computer interface by Nagarajan, Aarthy, Robinson, Neethu, Ang, Kai Keng, Chua, Karen Sui Geok, Chew, Effie, Guan, Cuntai

“…Motor imagery (MI) brain-computer interfaces (BCIs) based on electroencephalogram (EEG) have been developed primarily for stroke rehabilitation, however, due to limited stroke data, current deep learning methods for cross-subject classification rely on healthy data. …”
Get full text