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Dihydroartemisinin increased the abundance of by YAP1 depression that sensitizes hepatocellular carcinomato anti-PD-1 immunotherapy

Frontiers of Medicine 2023, Volume 17, Issue 4,   Pages 729-746 doi: 10.1007/s11684-022-0978-2

Abstract: Yes-associated protein 1 (YAP1) expression increased in liver tumor cells in early HCC, and AkkermansiaHowever, the interaction between A. muciniphila abundance and YAP1 expression remains unclearHere, anti-PD-1 treatment decreased A. muciniphila abundance in the colon, but increased YAP1Mechanistically, hepatocyte-specific Yap1 knockout (Yap1LKO) maintained bileYap1 knockout enhanced anti-PD-1 efficacy.

Keywords： hepatocellular carcinoma     YAP1     Akkermansia muciniphila     anti-PD-1     dihydroartemisinin     bile acid    

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EEG controlled neuromuscular electrical stimulation of the upper limb for stroke patients

Hock Guan TAN, Cheng Yap SHEE, Keng He KONG, Cuntai GUAN, Wei Tech ANG

Frontiers of Mechanical Engineering 2011, Volume 6, Issue 1,   Pages 71-81 doi: 10.1007/s11465-011-0207-1

Abstract:

This paper describes the Brain Computer Interface (BCI) system and the experiments to allow post-acute (<3 months) stroke patients to use electroencephalogram (EEG) to trigger neuromuscular electrical stimulation (NMES)-assisted extension of the wrist/fingers, which are essential pre-requisites for useful hand function. EEG was recorded while subjects performed motor imagery of their paretic limb, and then analyzed to determine the optimal frequency range within the -rhythm, with the greatest attenuation. Aided by visual feedback, subjects then trained to regulate their -rhythm EEG to operate the BCI to trigger NMES of the wrist/finger. 6 post-acute stroke patients successfully completed the training, with 4 able to learn to control and use the BCI to initiate NMES. This result is consistent with the reported BCI literacy rate of healthy subjects. Thereafter, without the loss of generality, the controller of the NMES is developed and is based on a model of the upper limb muscle (biceps/triceps) groups to determine the intensity of NMES required to flex or extend the forearm by a specific angle. The muscle model is based on a phenomenological approach, with parameters that are easily measured and conveniently implemented.

Keywords： brain computer interface     neuromuscular electrical stimulation     stroke     musculoskeletal modeling    

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Sonication and grinding pre-treatments on

Kit Wayne Chew, Pau Loke Show, Yee Jiun Yap, Joon Ching Juan, Siew Moi Phang, Tau Chuan Ling, Jo-Shu

Frontiers of Environmental Science & Engineering 2018, Volume 12, Issue 4, doi: 10.1007/s11783-018-1040-0

Abstract:

Effects of sonication and grinding pretreatment on agarose quality were observed.

Successful agarose extraction with direct PEG method without the need to dry agar.

FTIR spectra and the characteristics peaks in agarose are explained.

Improvements in gel strength and sulfate content properties in agarose samples.

Keywords： Agarose     Gelidium     Pretreatment     Seaweed     Sonication    

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Cyber-Physical Production Systems for Data-Driven, Decentralized, and Secure Manufacturing—A Perspective Perspective

Manu Suvarna, Ken Shaun Yap, Wentao Yang, Jun Li, Yen Ting Ng, Xiaonan Wang

Engineering 2021, Volume 7, Issue 9,   Pages 1212-1223 doi: 10.1016/j.eng.2021.04.021

Abstract:

With the concepts of Industry 4.0 and smart manufacturing gaining popularity, there is a growing notion that conventional manufacturing will witness a transition toward a new paradigm, targeting innovation, automation, better response to customer needs, and intelligent systems. Within this context, this review focuses on the concept of cyber-physical production system (CPPS) and presents a holistic perspective on the role of the CPPS in three key and essential drivers of this transformation: data-driven manufacturing, decentralized manufacturing, and integrated blockchains for data security. The paper aims to connect these three aspects of smart manufacturing and proposes that through the application of data-driven modeling, CPPS will aid in transforming manufacturing to become more intuitive and automated. In turn, automated manufacturing will pave the way for the decentralization of manufacturing. Layering blockchain technologies on top of CPPS will ensure the reliability and security of data sharing and integration across decentralized systems. Each of these claims is supported by relevant case studies recently published in the literature and from the industry; a brief on existing challenges and the way forward is also
provided.

Keywords： Smart manufacturing     Cyber-physical production systems     Industrial Internet of Things     Data analytics     Decentralized system     Blockchain    

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A systematic approach to ON-OFF event detection and clustering analysis of non-intrusive appliance load monitoring

Chuan Choong YANG,Chit Siang SOH,Vooi Voon YAP

Frontiers in Energy 2015, Volume 9, Issue 2,   Pages 231-237 doi: 10.1007/s11708-015-0358-6

Abstract: The aim of non-intrusive appliance load monitoring (NIALM) is to disaggregate the energy consumption of individual electrical appliances from total power consumption utilizing non-intrusive methods. In this paper, a systematic approach to ON-OFF event detection and clustering analysis for NIALM were presented. From the aggregate power consumption data set, the data are passed through median filtering to reduce noise and prepared for the event detection algorithm. The event detection algorithm is to determine the switching of ON and OFF status of electrical appliances. The goodness-of-fit (GOF) methodology is the event detection algorithm implemented. After event detection, the events detected were paired into ON-OFF pairing appliances. The results from the ON-OFF pairing algorithm were further clustered in groups utilizing the -means clustering analysis. The -means clustering were implemented as an unsupervised learning methodology for the clustering analysis. The novelty of this paper is the determination of the time duration an electrical appliance is turned ON through combination of event detection, ON-OFF pairing and -means clustering. The results of the algorithm implementation were discussed and ideas on future work were also proposed.

Keywords： non-intrusive appliance load monitoring     event detection     goodness-of-fit (GOF)     K-means clustering     ON-OFF pairing    

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Analysis of GM（1，1）Model and Its Application in Fire Risk Prediction

Chen Zijin,Wang Fuliang,Lu Shouxiang

Strategic Study of CAE 2007, Volume 9, Issue 5,   Pages 91-94

Abstract:

Theoretical analysis of grey prediction model GM(1, 1) is present inMonotonicity of predicted value and its variation tendency predicted by GM(1, 1)model is proved.the monotonicity of predicted value and its variation tendency,  applicability criterion of GM(1,1) is brought forward.

Keywords： fire forecast     GM(1     1)     rate of the fire injured    

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Metabolic interventions combined with CTLA-4 and PD-1/PD-L1 blockade for the treatment of tumors: mechanisms

Frontiers of Medicine   Pages 805-822 doi: 10.1007/s11684-023-1025-7

Abstract: To date, immune checkpoint inhibitors (ICIs) of CTLA-4 and PD-1/PD-L1 represent the main class of immunotherapyBlockade of CTLA-4 and PD-1/PD-L1 has shown remarkable efficacy in several specific types of cancers,generalized mechanism of targeting cancer metabolism at three crucial immune checkpoints (CTLA-4, PD-1,and PD-L1) to influence ICB therapy and propose potential combined immunotherapeutic strategies co-targeting

Keywords： CTLA-4     PD-1     PD-L1     immune checkpoint blockade (ICB)     metabolic reprogramming     combined tumor therapeutic    

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geological recognition breakthrough in Liaodong zone, which leading to the discovery of the large oilfield JX1-recognition breakthrough in Liaodong zone, which leading to the discovery of the large oilfield JX1-1

Deng Yunhua

Strategic Study of CAE 2011, Volume 13, Issue 10,   Pages 13-18

Abstract: According to this guidance, such giant oilfield JX1-1 was discovered with 150 million reserves in the

Keywords： Bohai Liaodong zone     JX1-1     geological recognition     large oilfield    

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Federated unsupervised representation learning Research Article

Fengda ZHANG, Kun KUANG, Long CHEN, Zhaoyang YOU, Tao SHEN, Jun XIAO, Yin ZHANG, Chao WU, Fei WU, Yueting ZHUANG, Xiaolin LI,fdzhang@zju.edu.cn,kunkuang@zju.edu.cn

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 8,   Pages 1181-1193 doi: 10.1631/FITEE.2200268

Abstract: FURL poses two new challenges: (1) data distribution shift (non-independent and identically distributed

Keywords： Federated learning     Unsupervised learning     Representation learning     Contrastive learning    

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Non-equidistant GM(1,1) power model and its application in engineering

Wang Zhengxin,Dang Yaoguo,Liu Sifeng

Strategic Study of CAE 2012, Volume 14, Issue 7,   Pages 98-102

Abstract: text-align: justify;">Aiming at the problem of modeling for non-equidistant sequence, the non-equidistant GM(1,1The results showed that the form of non equidistant GM(1,1) power model was more flexible than the traditionalBoth non equidistant GM(1,1) model and Grey Verhulst model were the special cases of non equidistantGM(1,1) power model.shows modeling accuracy in traditional modeling, which was significantly improved by non equidistant GM(1,1

Keywords： grey system     non-equidistant sequence     GM(1     1) power model     parameter optimization    

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A systematic approach in load disaggregation utilizing a multi-stage classification algorithm for consumer electrical appliances classification

Chuan Choong YANG, Chit Siang SOH, Vooi Voon YAP

Frontiers in Energy 2019, Volume 13, Issue 2,   Pages 386-398 doi: 10.1007/s11708-017-0497-z

Abstract: The potential to save energy in existing consumer electrical appliances is very high. One of the ways to achieve energy saving and improve energy use awareness is to recognize the energy consumption of individual electrical appliances. To recognize the energy consumption of consumer electrical appliances, the load disaggregation methodology is utilized. Non-intrusive appliance load monitoring (NIALM) is a load disaggregation methodology that disaggregates the sum of power consumption in a single point into the power consumption of individual electrical appliances. In this study, load disaggregation is performed through voltage and current waveform, known as the - trajectory. The classification algorithm performs cropping and image pyramid reduction of the - trajectory plot template images before utilizing the principal component analysis (PCA) and the -nearest neighbor ( -NN) algorithm. The novelty of this paper is to establish a systematic approach of load disaggregation through - trajectory-based load signature images by utilizing a multi-stage classification algorithm methodology. The contribution of this paper is in utilizing the “ -value,” the number of closest data points to the nearest neighbor, in the -NN algorithm to be effective in classification of electrical appliances. The results of the multi-stage classification algorithm implementation have been discussed and the idea on future work has also been proposed.

Keywords： load disaggregation     voltage-current (V-I) trajectory     multi-stage classification algorithm     principal component analysis (PCA)     k-nearest neighbor (k-NN)    

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Band-gap tunable (GaxIn1−x)2O3 layer Research Articles

Fabi Zhang, Jinyu Sun, Haiou Li, Juan Zhou, Rong Wang, Tangyou Sun, Tao Fu, Gongli Xiao, Qi Li, Xingpeng Liu, Xiuyun Zhang, Daoyou Guo, Xianghu Wang, Zujun Qin,zhangfabi@outlook.com,qinzj@guet.edu.cn

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 10,   Pages 1370-1378 doi: 10.1631/FITEE.2000330

Abstract: Multicomponent oxide (GaIn)O films are prepared on (0001) sapphire substrates to realize a tunable band-gap by technology followed by thermal annealing. The optical properties and band structure evolution over the whole range of compositions in ternary compounds (GaIn)O are investigated in detail. The X-ray diffraction spectra clearly indicate that (GaIn)O films with Ga content varying from 0.11 to 0.55 have both cubic and monoclinic structures, and that for films with Ga content higher than 0.74, only the monoclinic structure appears. The transmittance of all films is greater than 86% in the visible range with sharp absorption edges and clear fringes. In addition, a blue shift of ultraviolet absorption edges from 380 to 250 nm is noted with increasing Ga content, indicating increasing band-gap energy from 3.61 to 4.64 eV. The experimental results lay a foundation for the application of transparent conductive compound (GaIn)O thin films in photoelectric and photovoltaic industry, especially in display, light-emitting diode, and solar cell applications.

Keywords： (GaxIn1−x)2O3薄膜；带隙可调谐；磁控溅射    

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Soluble triggering receptor expressed on myeloid cell-1 (sTREM-1): a potential biomarker for the diagnosis

Changlin Cao, Jingxian Gu, Jingyao Zhang

Frontiers of Medicine 2017, Volume 11, Issue 2,   Pages 169-177 doi: 10.1007/s11684-017-0505-z

Abstract: An example of these biomarkers is triggering receptor expressed on myeloid cell-1 (TREM-1), which isTREM-1 amplifies inflammation by activating the TREM-1/DAP12 pathway.Soluble TREM-1 (sTREM-1) is a special form of TREM-1 that can be directly tested in human body fluidsand well-known biomarker for infectious diseases. sTREM-1 level can be potentially used for the earlyTherefore, sTREM-1 is a feasible biomarker for the targeted therapy and rapid and early diagnosis of

Keywords： soluble triggering receptor expressed on myeloid cells-1     infectious diseases     diagnosis and prognosis    

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Molecular characterization of two suppressor of cytokine signaling 1 genes (

Xue XU,Jiannan ZHANG,Juan LI,Yajun WANG

Frontiers of Agricultural Science and Engineering 2015, Volume 2, Issue 1,   Pages 73-83 doi: 10.15302/J-FASE-2015044

Abstract: Suppressor of cytokine signaling 1 (SOCS1) protein can inhibit the signal transduction triggered by someamino acid protein, which shares high amino acid sequence identity (64%–67%) with human and mouse SOCS1.and cSOCS1a.and SOCS1b proteins can negatively regulate GH/PRL signaling.Taken together, these data suggest that both cSOCS1a and cSOCS1b may function as negative regulators

Keywords： chicken     SOCS1a     SOCS1b     growth hormone     prolactin    

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Visual knowledge guided intelligent generation of Chinese seal carving Research Article

Kejun ZHANG, Rui ZHANG, Yehang YIN, Yifei LI, Wenqi WU, Lingyun SUN, Fei WU, Huanghuang DENG, Yunhe PAN

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 10,   Pages 1479-1493 doi: 10.1631/FITEE.2100094

Abstract:

We digitally reproduce the process of resource collaboration, design creation, and visual presentation of Chinese art. We develop an intelligent art-generation system (Zhejiang University Intelligent System, http://www.next.zju.edu.cn/seal/; the website of the search and layout system is http://www.next.zju.edu.cn/seal/search_app/) to deal with the difficulty in using a visual knowledge guided approach. The knowledge base in this study is the Qiushi Database, which consists of open datasets of images of seal characters and seal stamps. We propose a seal character generation method based on visual knowledge, guided by the database and expertise. Furthermore, to create the layout of the seal, we propose a deformation algorithm to adjust the seal characters and calculate layout parameters from the database and knowledge to achieve an intelligent structure. Experimental results show that this method and system can effectively deal with the difficulties in the generation of seal carving. Our work provides theoretical and applied references for the rebirth and innovation of art.

Keywords： Seal-carving     Intelligent generation     Deep learning     Parametric modeling     Computational art    

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Title Author Date Type Operation

Dihydroartemisinin increased the abundance of by YAP1 depression that sensitizes hepatocellular carcinomato anti-PD-1 immunotherapy

Journal Article

EEG controlled neuromuscular electrical stimulation of the upper limb for stroke patients

Hock Guan TAN, Cheng Yap SHEE, Keng He KONG, Cuntai GUAN, Wei Tech ANG

Journal Article

Sonication and grinding pre-treatments on

Kit Wayne Chew, Pau Loke Show, Yee Jiun Yap, Joon Ching Juan, Siew Moi Phang, Tau Chuan Ling, Jo-Shu

Journal Article

Cyber-Physical Production Systems for Data-Driven, Decentralized, and Secure Manufacturing—A Perspective

Manu Suvarna, Ken Shaun Yap, Wentao Yang, Jun Li, Yen Ting Ng, Xiaonan Wang

Journal Article

A systematic approach to ON-OFF event detection and clustering analysis of non-intrusive appliance load monitoring

Chuan Choong YANG,Chit Siang SOH,Vooi Voon YAP

Journal Article

Analysis of GM（1，1）Model and Its Application in Fire Risk Prediction

Chen Zijin,Wang Fuliang,Lu Shouxiang

Journal Article

Metabolic interventions combined with CTLA-4 and PD-1/PD-L1 blockade for the treatment of tumors: mechanisms

Journal Article

geological recognition breakthrough in Liaodong zone, which leading to the discovery of the large oilfield JX1-recognition breakthrough in Liaodong zone, which leading to the discovery of the large oilfield JX1-1

Deng Yunhua

Journal Article

Federated unsupervised representation learning

Fengda ZHANG, Kun KUANG, Long CHEN, Zhaoyang YOU, Tao SHEN, Jun XIAO, Yin ZHANG, Chao WU, Fei WU, Yueting ZHUANG, Xiaolin LI,fdzhang@zju.edu.cn,kunkuang@zju.edu.cn

Journal Article

Non-equidistant GM(1,1) power model and its application in engineering

Wang Zhengxin,Dang Yaoguo,Liu Sifeng

Journal Article

A systematic approach in load disaggregation utilizing a multi-stage classification algorithm for consumer electrical appliances classification

Chuan Choong YANG, Chit Siang SOH, Vooi Voon YAP

Journal Article

Band-gap tunable (GaxIn1−x)2O3 layer

Fabi Zhang, Jinyu Sun, Haiou Li, Juan Zhou, Rong Wang, Tangyou Sun, Tao Fu, Gongli Xiao, Qi Li, Xingpeng Liu, Xiuyun Zhang, Daoyou Guo, Xianghu Wang, Zujun Qin,zhangfabi@outlook.com,qinzj@guet.edu.cn

Journal Article

Soluble triggering receptor expressed on myeloid cell-1 (sTREM-1): a potential biomarker for the diagnosis

Changlin Cao, Jingxian Gu, Jingyao Zhang

Journal Article

Molecular characterization of two suppressor of cytokine signaling 1 genes (

Xue XU,Jiannan ZHANG,Juan LI,Yajun WANG

Journal Article

Visual knowledge guided intelligent generation of Chinese seal carving

Kejun ZHANG, Rui ZHANG, Yehang YIN, Yifei LI, Wenqi WU, Lingyun SUN, Fei WU, Huanghuang DENG, Yunhe PAN

Journal Article