Review
Chemistry, Multidisciplinary
Bo Wang, Menghui Wang, Fangqi Peng, Xiaoyi Fu, Mei Wen, Yuyan Shi, Mei Chen, Guoliang Ke, Xiao-Bing Zhang
Summary: The development of stimuli-responsive nanodevices with high efficiency and specificity is crucial in biosensing and drug delivery. DNAzymes, a class of DNA molecules with specific catalytic activity, have drawn much attention due to their unique properties and easy design. This review provides an introduction to DNAzyme classification and properties, and systematically summarizes the construction of various DNAzyme-based nanodevices such as motors, amplifiers, and logic gates. The application of DNAzyme-based nanodevices in sensing and therapeutics is also discussed, along with current limitations and future directions.
CHEMICAL RESEARCH IN CHINESE UNIVERSITIES
(2023)
Article
Engineering, Electrical & Electronic
Ujjal Dey, C. S. Kumar, Chacko Jacob
Summary: This paper presents an automatic handling procedure of a piezo-driven nanomanipulation system using the SEM vision system as a feedback device for position-based visual servoing closed-loop control. A web-based integrated control interface is designed to allow user command of the manipulator for positioning at any desired location within the working view field, aiding in quick automatic nanopositioning tasks and manipulation planning. Additionally, a 3D offline simulation visualization of the manipulation system in the SEM view is proposed to provide virtual configurational feedback of the manipulators and aid in manipulation task planning.
JOURNAL OF MICROMECHANICS AND MICROENGINEERING
(2021)
Article
Chemistry, Analytical
Yongsheng Mi, Jian Zhao, Hongqian Chu, Zhixiang Li, Mingming Yu, Lele Li
Summary: This study introduces a new approach for achieving high-precision DNA molecular computation using photonic nanocircuits, allowing spatial and temporal control in vitro and in vivo. Researchers designed a circuit that can track cancer biomarkers and output signals, as well as demonstrated a more complex gated circuit, showcasing the versatility and potential of the method.
ANALYTICAL CHEMISTRY
(2021)
Article
Engineering, Multidisciplinary
Abdul Hannan Qureshi, Wesam Salah Alaloul, Wong Kai Wing, Syed Saad, Muhammad Ali Musarat, Syed Ammad, Ahmed Farouk Kineber
Summary: Construction industry professionals appreciate the advancements in digital data-acquisition technologies for monitoring processes because of their efficiency and effectiveness. However, a lack of theoretical insight hampers the widespread adoption of these technologies, posing a challenge to achieving the goals of Industry 4.0. In this study, a statistically validated model is developed to identify the operational factors that enhance the performance of digital monitoring processes. This model provides theoretical guidance for researchers and professionals in the construction industry, highlighting the technological factors that contribute to successful implementation of automated monitoring.
AIN SHAMS ENGINEERING JOURNAL
(2023)
Article
Robotics
Liang Yang, Bing Li, Jinglun Feng, Guoyong Yang, Yong Chang, Biao Jiang, Jizhong Xiao
Summary: This paper introduces a wall-climbing robot for metric concrete inspection that can detect and measure surface flaws and generate defect-highlighted 3D models. The robot has good operational performance and can work under low illuminated and texture-less environments. Additionally, the paper provides a publicly accessible concrete structure dataset.
JOURNAL OF FIELD ROBOTICS
(2023)
Article
Computer Science, Artificial Intelligence
Arne De Brabandere, Tim Op De Beeck, Kilian Hendrickx, Wannes Meert, Jesse Davis
Summary: This paper introduces an automated feature construction system called TSFuse, which supports fusion of sensor data and efficiently explores the search space. Through empirical evaluation on real-world time series classification datasets, the results show that TSFuse can find better feature representations compared to existing feature construction systems for univariate time series data.
Article
Multidisciplinary Sciences
Taketomo Isazawa, Jacqueline M. Cole
Summary: This study presents an automatically generated dataset of 15,755 records extracted from 47,357 papers. These records contain information about water-splitting activity in the presence of certain photocatalysts, as well as additional details about the chemical reaction conditions. The dataset achieved good precision and recall, and the extraction of such a wide range of chemical reaction attributes required the development of novel techniques in knowledge extraction and interdependency resolution.
Article
Computer Science, Artificial Intelligence
Seonghyeon Moon, Gitaek Lee, Seokho Chi
Summary: This research aimed to develop an automated system for reviewing construction specifications by analyzing the different semantic properties using natural language processing techniques. The proposed system showed promising results in reducing time, supplementing reviewer's experience, enhancing accuracy, and achieving consistency, contributing positively to risk management in the construction industry.
ADVANCED ENGINEERING INFORMATICS
(2022)
Review
Construction & Building Technology
Subarna Sivashanmugam, Sergio Rodriguez, Farzad Pour Rahimian, Faris Elghaish, Nashwan Dawood
Summary: Accurate quantification and detailed classification of construction waste are crucial for improving its management. Existing research primarily focuses on analyzing the functionalities of quantification methods and overlooks the exploration of digital and information standards to automate the quantification process. Based on the analysis of papers published from 2012 to 2022, it is found that a unified data structure, standard information, life-cycle approach, and interoperability between BIM and waste knowledge bases are vital for automating and enhancing quantification efficiency. A conceptual framework is developed to demonstrate the quantification workflow for building projects. The outcomes of this review will help researchers identify existing gaps and improve the waste quantification system to meet the demands of digital construction.
AUTOMATION IN CONSTRUCTION
(2023)
Review
Biochemistry & Molecular Biology
Chaoyang Guan, Xiaoli Zhu, Chang Feng
Summary: DNA, as a natural biological material, is increasingly being utilized for biomedical applications due to its biocompatibility, ease of synthesis, modifiability, and programmability. Advancements in DNA synthesis and modification technology have led to the development of smart-responsive DNA nanodevices that can intelligently respond to external stimuli, providing new solutions for targeted drug delivery and tumor treatment. Looking ahead, there are promising prospects for further advancements in this field.
Article
Chemistry, Multidisciplinary
Yuzhe Shang, Longyi Zhu, Yang Xiao, Songyuan Du, Ruoyang Ji, Bin Li, Jialiang Chen, Shengyuan Deng, Kewei Ren
Summary: A platform for precise manipulation of protein degradation using activatable lysosome targeting DNA nanodevices is constructed. The system demonstrates an AND logic operation and can be used for modulating T cell-mediated antitumor immunity. The DNA nanodevices exhibit good stability, controllability, programmability, and universality, providing a new prospect for accurate protein degradation and precise therapy.
ADVANCED FUNCTIONAL MATERIALS
(2023)
Article
Chemistry, Physical
Christoph Brunken, Markus Reiher
Summary: A protocol for the fully automated construction of quantum mechanical-classical hybrid models has been introduced, extending a previous approach on system-focused atomistic models. The QM/SFAM approach evaluates the QM region based on first principles to accurately describe atomic forces, allowing for high fidelity and complete automation. This method eliminates dependence on pre-existing parameters and enables convenient redefinition of the QM region during molecular exploration through a local reparametrization scheme.
JOURNAL OF CHEMICAL THEORY AND COMPUTATION
(2021)
Review
Chemistry, Analytical
Tijjani Adam, Thikra S. Dhahi, Subash C. B. Gopinath, Uda Hashim
Summary: Nanowires are widely used in the generation of high-performance nanosensors, attracting attention due to their submicron feature and potential in various applications. The electrical properties of nanowires make them promising for numerous applications, and their sensitivity and properties can be tuned through size and dopant concentration control for reproducibility.
CRITICAL REVIEWS IN ANALYTICAL CHEMISTRY
(2022)
Article
Biochemistry & Molecular Biology
Nicholas A. W. Bell, Justin E. Molloy
Summary: The paper introduces a simple and fast technique for creating diverse DNA constructs by combining PCR amplicons and synthetic oligonucleotides using golden gate assembly rules. The method allows for high-yield fabrication of torsionally-constrained DNA and various DNA hairpin structures, as well as improving measurement lifetime.
NUCLEIC ACIDS RESEARCH
(2022)
Article
Construction & Building Technology
Xuewei Li, Dujuan Yang, Jingfeng Yuan, Alex Donkers, Xuan Liu
Summary: This study proposed a semantic approach to automate safety checking through SPARQL-based reasoning, integrating safety risk factors from different data sources. The framework can improve knowledge sharing and promote real-time and automated safety checking.
AUTOMATION IN CONSTRUCTION
(2022)
Article
Robotics
Jingyi Liu, Hengyu Li, Jun Luo, Shaorong Xie, Yu Sun
Summary: A prior estimation network (PEN) is proposed to improve the spatially constrained mixture model for reliable monocular obstacle detection in unmanned surface vehicles (USVs), addressing sensitivity to initial values, local optimum issues, and false positives caused by sun glitter.
JOURNAL OF FIELD ROBOTICS
(2021)
Article
Automation & Control Systems
Xingjian Liu, Wenyuan Chen, Harikrishnan Madhusudanan, Linghao Du, Yu Sun
Summary: Stereo vision is widely used for industrial measurement, and the optimal camera orientation angle is typically between 60 to 80 degrees, as supported by a new model that considers the correlation between camera orientation and measurement accuracy. Different from previous theories, practical systems often operate outside the theoretical optimal range.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2021)
Article
Automation & Control Systems
Xingjian Liu, Harikrishnan Madhusudanan, Wenyuan Chen, Dahai Li, Ji Ge, Changhai Ru, Yu Sun
Summary: This study introduces a new eye-in-hand 3D scanner-robot calibration approach which successfully addresses the challenges in scanner calibration and achieves low data stitching errors. Experimental results demonstrate that this method can maintain a low stitching error during long-term continuous measurement.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2021)
Article
Automation & Control Systems
Jinglei Zhao, Yi Sun, Jiheng Ding, Yu Sun, Min Wang, Shujin Yuan, Huayan Pu, Jun Luo, Zhijiang Xie, Yi Qin, Jing Wei, Shaorong Xie, Yan Peng
Summary: This article presents a novel electromagnetic variable stiffness isolator that achieves bidirectional stiffness regulation, providing good vibration isolation performance and high damping effect. By combining mechanical springs with hybrid magnets, the isolator can adjust overall stiffness by manipulating the current.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2021)
Article
Materials Science, Biomaterials
Zhe Zheng, Jianchao Qi, Liqiu Hu, Dongfang Ouyang, Huizhen Wang, Qili Sun, Lijun Lin, Lidan You, Bin Tang
Summary: In this study, a hydrogel dressing containing cannabidiol was designed and fabricated. The hydrogel exhibited good biocompatibility, antibacterial activity, and angiogenesis properties. It also showed the ability to scavenge free radicals and reduce inflammatory responses. In vivo studies demonstrated that the hydrogel significantly facilitated the wound healing process.
BIOMATERIALS ADVANCES
(2022)
Article
Oncology
Chun-Yu Lin, Xin Song, Yaji Ke, Arjun Raha, Yuning Wu, Murtaza Wasi, Liyun Wang, Fei Geng, Lidan You
Summary: The combined treatment of Yoda1 and low-magnitude high-frequency vibration can effectively reduce bone loss caused by bone metastasis, inhibit osteoclast formation, and suppress breast cancer cell migration.
Review
Endocrinology & Metabolism
Chun-Yu Lin, Xin Song, Kimberly Seaman, Lidan You
Summary: This review summarizes the recent microfluidic studies on mechanically stimulated osteocytes in regulating other cell types. Microfluidic platforms allow researchers to mimic multicellular environments and study the regulation of osteocytes under mechanical stimulation. These studies contribute to the development of treatment approaches targeting osteocytes under mechanical stimulation.
CURRENT OSTEOPOROSIS REPORTS
(2022)
Article
Multidisciplinary Sciences
Xin Song, Chun-Yu Lin, Xueting Mei, Liyun Wang, Lidan You
Summary: LMHF vibration can inhibit cancer extravasation in bones by activating osteocytes, suggesting its potential to suppress bone metastasis in breast cancer.
Review
Engineering, Mechanical
Xin Song, Amel Sassi, Kimberly Seaman, Chun-Yu Lin, Lidan You
Summary: Patients with cancer and metastatic bone lesions often experience skeletal-related events (SREs) that greatly impact their quality of life. Whole body vibration (WBV) has shown promising results in improving bone health and reducing cancer progression. WBV not only improves bone mineral density and volume, but also reduces tumor burden and promotes interactions between bone cells and cancer cells to inhibit metastasis. WBV could potentially serve as a new intervention or adjuvant treatment for cancer patients.
Article
Nanoscience & Nanotechnology
Dongfang Ouyang, Hanqing Zhang, Bin Tang, Jaewon Park, Lina Hu, Jenny Hirst, Lidan You, Yonghua Li
Summary: Circulating clonal plasma cells have emerged as an important biomarker for evaluating minimal residual disease in multiple myeloma. Microfluidic techniques have been successfully used to develop a specific chip for detecting these cells, showing promising clinical utility with good agreement to existing methods.
JOURNAL OF BIOMEDICAL NANOTECHNOLOGY
(2022)
Meeting Abstract
Endocrinology & Metabolism
Chun-Yu Lin, Xin Song, Yaji Ke, Liyun Wang, Lidan You
JOURNAL OF BONE AND MINERAL RESEARCH
(2022)
Meeting Abstract
Endocrinology & Metabolism
Xin Song, Chun-Yu Lin, Arjun Raha, Yaji Ke, Liyun Wang, Fei Geng, Lidan You
JOURNAL OF BONE AND MINERAL RESEARCH
(2022)
Meeting Abstract
Endocrinology & Metabolism
Murtaza Wasi, Shubo Wang, Jinhu Xiong, Fei Geng, Lidan You, Liyun Wang
JOURNAL OF BONE AND MINERAL RESEARCH
(2022)
Article
Multidisciplinary Sciences
Wei Chen, Shihyun Park, Chrishma Patel, Yuxin Bai, Karim Henary, Arjun Raha, Saeed Mohammadi, Lidan You, Fei Geng
Summary: Matrix stiffness influences the proliferation and migration ability of breast cancer cells, with YAP playing a significant role in this process. As matrix stiffness increases, highly metastatic breast cancer cells exhibit a different migratory potential compared to non-metastatic cells, and this process is YAP-dependent.
Article
Hematology
Zhuoran Zhang, Ji Ge, Zheng Gong, Jun Chen, Chen Wang, Yu Sun
Summary: The study evaluated an automated KB counting system and compared its accuracy, precision, and efficiency in quantifying FMH with manual counting and flow cytometry. The results showed that the automated counting system was more accurate and efficient compared to manual counting, providing precise FMH quantification results.
INTERNATIONAL JOURNAL OF LABORATORY HEMATOLOGY
(2021)
