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Article ; Online: Combination of Cetylpyridinium Chloride and Chlorhexidine Acetate: A Promising Candidate for Rapid Killing of Gram-Positive/Gram-Negative Bacteria and Fungi

Zhu, Xinghao / Li, Yang / Zhang, Xinguang / Zhang, Peng / Tian, Qingwu / Ma, Cuiping / Shi, Chao

Curr Microbiol. 2023 Mar., v. 80, no. 3 p.97-97

2023

Abstract: Combined use of the present antimicrobial drugs has been proved to be an alternative approach for antimicrobial agents’ development since the co-existed of the drugs working in different mechanism have been demonstrated potentially enhance their ... ...

Abstract	Combined use of the present antimicrobial drugs has been proved to be an alternative approach for antimicrobial agents’ development since the co-existed of the drugs working in different mechanism have been demonstrated potentially enhance their antimicrobial activity. In this work, antibacterial and antifungal activity of the cetylpyridinium chloride (CPC)/chlorhexidine acetate (CHA) combination was evaluated for the first time, while a universal concentration for the rapid killing of gram-positive/gram-negative bacteria and fungi was also proposed. The minimum inhibitory concentrations (MIC) of CPC and CHA used alone or in combination were first measured, showing that the combined treatment decreased the MIC against tested gram-positive/gram-negative bacteria and fungi to 1/8–1/2. Growth curve assays demonstrated CPC and CHA had dynamic combined effects against the tested microorganisms at the concentration equal to MIC. Besides, combined use of these two drugs could also enhance their biocidal activity, which was illustrated by fluorescence microscopy and SEM images, as well as soluble protein measurement. More importantly, in vitro acute eye and skin irritation tests showed short-term contact with CPC/CHA combination would not cause any damage to mammalian mucosa and skin. In a word, CPC/CHA combination exhibited broad-spectrum antibacterial and antifungal activity against tested gram-positive/gram-negative bacteria and fungi while without any acute irritation to mammalian mucosa and skin, providing a new perspective on the selection of personal disinfectants.
Keywords	acetates ; antifungal properties ; cetylpyridinium chloride ; chlorhexidine ; eyes ; fluorescence microscopy ; growth curves ; mammals ; mucosa ; skin irritation
Language	English
Dates of publication	2023-03
Size	p. 97.
Publishing place	Springer US
Document type	Article ; Online
ZDB-ID	134238-1
ISSN	1432-0991 ; 0343-8651
ISSN (online)	1432-0991
ISSN	0343-8651
DOI	10.1007/s00284-023-03198-z
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Real-time detection of SARS-CoV-2 in clinical samples

Zhang, Peng / Li, Yang / Zhang, Dongmei / Zhu, Xinghao / Guo, Jinling / Ma, Cuiping / Shi, Chao

Analytical methods : advancing methods and applications

2023 Volume 15, Issue 15, Page(s) 1915–1922

Abstract: RNA has been recognized as an important biomarker of many infectious pathogens; thus, sensitive, simple and rapid detection of RNA is urgently required for the control of epidemics. Herein, we report an ultrafast ligation-dependent RNA transcription ... ...

Abstract	RNA has been recognized as an important biomarker of many infectious pathogens; thus, sensitive, simple and rapid detection of RNA is urgently required for the control of epidemics. Herein, we report an ultrafast ligation-dependent RNA transcription amplification assay with high sensitivity and specificity for real-time detection of SARS-CoV-2 in real clinical samples, termed splint-based cascade transcription amplification (SCAN). Target RNA is first recognized by two DNA probes, which are then ligated together by SplintR, followed by the binding of the T7 promotor and T7 RNA polymerase to the ligated probe and the start of the transcription process. By introducing a vesicular stomatitis virus (VSV) terminator in the ligated probe, large amounts of RNA transcripts are rapidly produced within 10 min, which then directly hybridize with molecular beacons (MBs) and trigger the conformational switch of the MBs to generate a fluorescence signal that can be monitored in real time. The SCAN assay, which can be completed within 30-50 min, has a limit of detection of 10
MeSH term(s)	Humans ; SARS-CoV-2/genetics ; COVID-19/diagnosis ; Molecular Diagnostic Techniques/methods ; Sensitivity and Specificity ; Real-Time Polymerase Chain Reaction ; RNA
Chemical Substances	RNA (63231-63-0)
Language	English
Publishing date	2023-04-13
Publishing country	England
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2515210-5
ISSN	1759-9679 ; 1759-9660
ISSN (online)	1759-9679
ISSN	1759-9660
DOI	10.1039/d3ay00093a
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Combination of Cetylpyridinium Chloride and Chlorhexidine Acetate: A Promising Candidate for Rapid Killing of Gram-Positive/Gram-Negative Bacteria and Fungi.

Zhu, Xinghao / Li, Yang / Zhang, Xinguang / Zhang, Peng / Tian, Qingwu / Ma, Cuiping / Shi, Chao

Current microbiology

2023 Volume 80, Issue 3, Page(s) 97

Abstract: Combined use of the present antimicrobial drugs has been proved to be an alternative approach for antimicrobial agents' development since the co-existed of the drugs working in different mechanism have been demonstrated potentially enhance their ... ...

Abstract	Combined use of the present antimicrobial drugs has been proved to be an alternative approach for antimicrobial agents' development since the co-existed of the drugs working in different mechanism have been demonstrated potentially enhance their antimicrobial activity. In this work, antibacterial and antifungal activity of the cetylpyridinium chloride (CPC)/chlorhexidine acetate (CHA) combination was evaluated for the first time, while a universal concentration for the rapid killing of gram-positive/gram-negative bacteria and fungi was also proposed. The minimum inhibitory concentrations (MIC) of CPC and CHA used alone or in combination were first measured, showing that the combined treatment decreased the MIC against tested gram-positive/gram-negative bacteria and fungi to 1/8-1/2. Growth curve assays demonstrated CPC and CHA had dynamic combined effects against the tested microorganisms at the concentration equal to MIC. Besides, combined use of these two drugs could also enhance their biocidal activity, which was illustrated by fluorescence microscopy and SEM images, as well as soluble protein measurement. More importantly, in vitro acute eye and skin irritation tests showed short-term contact with CPC/CHA combination would not cause any damage to mammalian mucosa and skin. In a word, CPC/CHA combination exhibited broad-spectrum antibacterial and antifungal activity against tested gram-positive/gram-negative bacteria and fungi while without any acute irritation to mammalian mucosa and skin, providing a new perspective on the selection of personal disinfectants.
MeSH term(s)	Chlorhexidine/pharmacology ; Cetylpyridinium/pharmacology ; Antifungal Agents/pharmacology ; Anti-Infective Agents/pharmacology ; Gram-Positive Bacteria ; Gram-Negative Bacteria ; Bacteria ; Anti-Bacterial Agents/pharmacology ; Microbial Sensitivity Tests ; Fungi
Chemical Substances	Chlorhexidine (R4KO0DY52L) ; Cetylpyridinium (CUB7JI0JV3) ; Antifungal Agents ; Anti-Infective Agents ; Anti-Bacterial Agents
Language	English
Publishing date	2023-02-04
Publishing country	United States
Document type	Journal Article
ZDB-ID	134238-1
ISSN	1432-0991 ; 0343-8651
ISSN (online)	1432-0991
ISSN	0343-8651
DOI	10.1007/s00284-023-03198-z
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Book ; Online: Learning to Synthesize Volumetric Meshes from Vision-based Tactile Imprints

Zhu, Xinghao / Jain, Siddarth / Tomizuka, Masayoshi / van Baar, Jeroen

2022

Abstract: Vision-based tactile sensors typically utilize a deformable elastomer and a camera mounted above to provide high-resolution image observations of contacts. Obtaining accurate volumetric meshes for the deformed elastomer can provide direct contact ... ...

Abstract	Vision-based tactile sensors typically utilize a deformable elastomer and a camera mounted above to provide high-resolution image observations of contacts. Obtaining accurate volumetric meshes for the deformed elastomer can provide direct contact information and benefit robotic grasping and manipulation. This paper focuses on learning to synthesize the volumetric mesh of the elastomer based on the image imprints acquired from vision-based tactile sensors. Synthetic image-mesh pairs and real-world images are gathered from 3D finite element methods (FEM) and physical sensors, respectively. A graph neural network (GNN) is introduced to learn the image-to-mesh mappings with supervised learning. A self-supervised adaptation method and image augmentation techniques are proposed to transfer networks from simulation to reality, from primitive contacts to unseen contacts, and from one sensor to another. Using these learned and adapted networks, our proposed method can accurately reconstruct the deformation of the real-world tactile sensor elastomer in various domains, as indicated by the quantitative and qualitative results. Comment: To appear in the Proceedings of the IEEE International Conference on Robotics and Automation (ICRA 2022), Philadelphia (PA), USA
Keywords	Computer Science - Robotics ; Computer Science - Artificial Intelligence ; Computer Science - Computer Vision and Pattern Recognition
Subject code	006
Publishing date	2022-03-28
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Book ; Online: 6-DoF Contrastive Grasp Proposal Network

Zhu, Xinghao / Sun, Lingfeng / Fan, Yongxiang / Tomizuka, Masayoshi

2021

Abstract: Proposing grasp poses for novel objects is an essential component for any robot manipulation task. Planning six degrees of freedom (DoF) grasps with a single camera, however, is challenging due to the complex object shape, incomplete object information, ... ...

Abstract	Proposing grasp poses for novel objects is an essential component for any robot manipulation task. Planning six degrees of freedom (DoF) grasps with a single camera, however, is challenging due to the complex object shape, incomplete object information, and sensor noise. In this paper, we present a 6-DoF contrastive grasp proposal network (CGPN) to infer 6-DoF grasps from a single-view depth image. First, an image encoder is used to extract the feature map from the input depth image, after which 3-DoF grasp regions are proposed from the feature map with a rotated region proposal network. Feature vectors that within the proposed grasp regions are then extracted and refined to 6-DoF grasps. The proposed model is trained offline with synthetic grasp data. To improve the robustness in reality and bridge the simulation-to-real gap, we further introduce a contrastive learning module and variant image processing techniques during the training. CGPN can locate collision-free grasps of an object using a single-view depth image within 0.5 seconds. Experiments on a physical robot further demonstrate the effectiveness of the algorithm. Comment: To appear on 2021 International Conference on Robotics and Automation (ICRA 2021)
Keywords	Computer Science - Robotics
Subject code	629
Publishing date	2021-03-29
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Book ; Online: Contact Pose Identification for Peg-in-Hole Assembly under Uncertainties

Jin, Shiyu / Zhu, Xinghao / Wang, Changhao / Tomizuka, Masayoshi

2021

Abstract: Peg-in-hole assembly is a challenging contact-rich manipulation task. There is no general solution to identify the relative position and orientation between the peg and the hole. In this paper, we propose a novel method to classify the contact poses ... ...

Abstract	Peg-in-hole assembly is a challenging contact-rich manipulation task. There is no general solution to identify the relative position and orientation between the peg and the hole. In this paper, we propose a novel method to classify the contact poses based on a sequence of contact measurements. When the peg contacts the hole with pose uncertainties, a tilt-then-rotate strategy is applied, and the contacts are measured as a group of patterns to encode the contact pose. A convolutional neural network (CNN) is trained to classify the contact poses according to the patterns. In the end, an admittance controller guides the peg towards the error direction and finishes the peg-in-hole assembly. Simulations and experiments are provided to show that the proposed method can be applied to the peg-in-hole assembly of different geometries. We also demonstrate the ability to alleviate the sim-to-real gap.
Keywords	Computer Science - Robotics
Publishing date	2021-01-29
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Book ; Online: A Simple Approach for General Task-Oriented Picking using Placing constraints

Wang, Jen-Wei / Sun, Lingfeng / Zhu, Xinghao / Qian, Qiyang / Tomizuka, Masayoshi

2023

Abstract: Pick-and-place is an important manipulation task in domestic or manufacturing applications. There exist many works focusing on grasp detection with high picking success rate but lacking consideration of downstream manipulation tasks (e.g., placing). ... ...

Abstract	Pick-and-place is an important manipulation task in domestic or manufacturing applications. There exist many works focusing on grasp detection with high picking success rate but lacking consideration of downstream manipulation tasks (e.g., placing). Although some research works proposed methods to incorporate task conditions into grasp selection, most of them are data-driven and are therefore hard to adapt to arbitrary operating environments. Observing this challenge, we propose a general task-oriented pick-place framework that treats the target task and operating environment as placing constraints into grasping optimization. Combined with existing grasp detectors, our framework is able to generate feasible grasps for different downstream tasks and adapt to environmental changes without time-consuming re-training processes. Moreover, the framework can accept different definitions of placing constraints, so it is easy to integrate with other modules. Experiments in the simulator and real-world on multiple pick-place tasks are conducted to evaluate the performance of our framework. The result shows that our framework achieves a high and robust task success rate on a wide variety of the pick-place tasks.
Keywords	Computer Science - Robotics
Subject code	004 ; 006
Publishing date	2023-04-03
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Book ; Online: Efficient Sim-to-real Transfer of Contact-Rich Manipulation Skills with Online Admittance Residual Learning

Zhang, Xiang / Wang, Changhao / Sun, Lingfeng / Wu, Zheng / Zhu, Xinghao / Tomizuka, Masayoshi

2023

Abstract: Learning contact-rich manipulation skills is essential. Such skills require the robots to interact with the environment with feasible manipulation trajectories and suitable compliance control parameters to enable safe and stable contact. However, ... ...

Abstract	Learning contact-rich manipulation skills is essential. Such skills require the robots to interact with the environment with feasible manipulation trajectories and suitable compliance control parameters to enable safe and stable contact. However, learning these skills is challenging due to data inefficiency in the real world and the sim-to-real gap in simulation. In this paper, we introduce a hybrid offline-online framework to learn robust manipulation skills. We employ model-free reinforcement learning for the offline phase to obtain the robot motion and compliance control parameters in simulation \RV{with domain randomization}. Subsequently, in the online phase, we learn the residual of the compliance control parameters to maximize robot performance-related criteria with force sensor measurements in real time. To demonstrate the effectiveness and robustness of our approach, we provide comparative results against existing methods for assembly, pivoting, and screwing tasks. Comment: Conference on Robot Learning (CoRL) 2023
Keywords	Computer Science - Robotics
Subject code	629
Publishing date	2023-10-16
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Book ; Online: Multi-level Reasoning for Robotic Assembly

Zhu, Xinghao / Jha, Devesh K. / Romeres, Diego / Sun, Lingfeng / Tomizuka, Masayoshi / Cherian, Anoop

From Sequence Inference to Contact Selection

2023

Abstract: Automating the assembly of objects from their parts is a complex problem with innumerable applications in manufacturing, maintenance, and recycling. Unlike existing research, which is limited to target segmentation, pose regression, or using fixed target ...

Abstract	Automating the assembly of objects from their parts is a complex problem with innumerable applications in manufacturing, maintenance, and recycling. Unlike existing research, which is limited to target segmentation, pose regression, or using fixed target blueprints, our work presents a holistic multi-level framework for part assembly planning consisting of part assembly sequence inference, part motion planning, and robot contact optimization. We present the Part Assembly Sequence Transformer (PAST) -- a sequence-to-sequence neural network -- to infer assembly sequences recursively from a target blueprint. We then use a motion planner and optimization to generate part movements and contacts. To train PAST, we introduce D4PAS: a large-scale Dataset for Part Assembly Sequences (D4PAS) consisting of physically valid sequences for industrial objects. Experimental results show that our approach generalizes better than prior methods while needing significantly less computational time for inference. Comment: Supplementary video is available at https://www.youtube.com/watch?v=XNYkWSHkAaU&ab_channel=MitsubishiElectricResearchLabs%28MERL%29
Keywords	Computer Science - Robotics ; Computer Science - Artificial Intelligence ; Computer Science - Computer Vision and Pattern Recognition ; Computer Science - Machine Learning
Subject code	004
Publishing date	2023-12-16
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: Incidence rate of angel wing and its effect on wing bone development and serum biochemical parameters in geese

Zhu, Xinghao / Shao, Binghao / Guo, Yujun / Gao, Linge / Zhang, Huaiyong / Chen, Wen / Wang, Yongcai / Gao, Guangqin / Huang, Yanqun

Poultry science. 2021 Nov., v. 100, no. 11

2021

Abstract: The first purpose of this study was to reveal the distribution of the angel wing (AW) of geese. Our data showed that the total incidence of AW was 6.67% in 150-day-old White Zhedong (ZD) geese, the occurrence of AW in left wing is higher than that in ... ...

Abstract	The first purpose of this study was to reveal the distribution of the angel wing (AW) of geese. Our data showed that the total incidence of AW was 6.67% in 150-day-old White Zhedong (ZD) geese, the occurrence of AW in left wing is higher than that in right wing and bilateral wing than unilateral wing (both P < 0.01). In 70-day-old Hybrid-Wanxi (HW) geese, the total incidence of AW was 8.86%, with similar incidence rate between unilateral and bilateral. The sex has not apparently affected the incidence of AW in both ZD and HW geese. To explore the potential relationship between wing type with body weight, organ index, bone characteristic, or blood biochemical parameters in 70-day-old HW geese. We found that the body weight and organ index were similar between normal wing (NW) and AW geese. The length for the humerus, metacarpal and phalanx, and the phalanx weights, as well as the angle between the humerus and the radial ulna (HRU) in NW geese were pronounced greater than that in AW geese (P < 0.05). Furthermore, the angel wing was strongly associated with lower platelet size indicators. Collectively, AW affected the wing bone length, phalanx weight, and HRU, and the occurrence of AW may be related with dysfunctional platelet activation in geese.
Keywords	blood serum ; body weight ; humerus ; metacarpus ; platelet activation ; skeletal development ; ulna
Language	English
Dates of publication	2021-11
Publishing place	Elsevier Inc.
Document type	Article
ZDB-ID	242586-5
ISSN	1525-3171 ; 0032-5791
ISSN (online)	1525-3171
ISSN	0032-5791
DOI	10.1016/j.psj.2021.101450
Database	NAL-Catalogue (AGRICOLA)

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