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Mongolian medicine in treating type 2 diabetes mellitus combined with nonalcoholic fatty liver disease via FXr/LXr-mediated P2X7r/NLrP3/NF-κB pathway activation

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Chinese Herbal Medicines 2022年第3期14卷 367-375页

作者： Shuyin Bao Xiuzhi Wang Qianqian Ma Chengxi Wei Jixing Nan Wuliji Ao Institute of Pharmaceutical Chemistry and Pharmacology Inner Mongolia Minzu UniversityTongliao 028000China Inner Mongolia Key Laboratory of Mongolian Medicine Pharmacology for Cardio-Cerebral Vascular System Tongliao 028000China Department of Medicines and Foods Tongliao Vocational CollegeTongliao 028000China Jilin Key Laboratory for Traditional Chinese Korean Medicine College of PharmacyYanbian UniversityYanji 133002China Research and development center Inner Mongolia Research Institute of Traditional Mongolian Medicine Engineering TechnologyTongliao 028000China Mongolian Medicine R&D National Local Union Engineering Research Center Inner Mongolia Minzu UniversityTongliao 028000China

Type 2 diabetes mellitus(T2dM)and nonalcoholic fatty liver disease(NAFLd)are the most problematic metabolic diseases in the *** encompasses a spectrum of severity,ranging from simple steatosis to non-alcoholic steatohepatitis(NASH)and fibrosis,increasing the risk of cirrhosis and hepatocellular ***,NAFLd is closely linked to obesity and tightly interrelated with insulin resistance and T2dM.T2dM and NAFLd(T2dM-NAFLd)are called as the Xike rixijing disease and Tonglaga Indigestion disease respectively,in Mongolian *** rixijing disease maybe develop into Tonglaga Indigestion *** many Mongolian medicines show efficient treatment of T2dM-NAFLd,such as Agriophyllum squarrosum,Haliyasu(dried powder of camel placenta),digeda-4(herbs of Lomatogonium carinthiacum,rhizomata of Coptis chinensis,ripe fruits of Gardenia jasminoides,herbs of dianthus superbus),Guangmingyan Siwei decoction Powder(Halite,ripe fruits of Terminalia chebula,rhizomata of Zingiber officinale,fruit clusters of Piper longum),Tonglaga-5(ripe fruits of Punica granatum,barks of Cinnamomum cassia,ripe fruits of Amomum kravanh,fruit clusters of Piper longum,fowers of Carthamus tinctorius),Tegexidegeqi(rhizomata of Inula helenium,ripe fruits of Gardenia jasminoides,rhizomata of Platycodon grandiflorum,rhizomata of Coptis chinensis,heartwood of Caesalpinia sappan),Ligan Shiliu Bawei San(ripe fruits of Punica granatum,barks of Cinnamomum cassia,ripe fruits of Amomum kravanh,fruit clusters of Piper longum,fowers of Carthamus tinctorius,ripe fruits of Amomum tsao-ko,rhizomata of Zingiber officinale),*** of Mongolian medicine in treating diseases:by balancing“three essences or roots”and“seven elements”,strengthening liver and kidney function,transporting nutrients to enhance physical strength and disease resistance,and combined with drugs for comprehensive conditioning ***,their molecular mechanisms remain *** this review,we prospect

关键词： Mongolian medicine nonalcoholic fatty liver disease type 2 diabetes mellitus Xike rixijing disease

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A Way of Making Smart Health Through Collaborating Machine Learning with the Bibliometrics

A Way of Making Smart Health Through Collaborating Machine L...

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Advance Computing and Innovative Technologies in Engineering (ICACITE), International Conference on

作者： T Vignesh P. S Sruthi T. Mohanraj Gaurav Kumar Akshay Varkale M.Sahaya Sheela Department of Computer Science and Engineering Prince Shri Venkateshwara Padmavathy Engineering College TN Department of Computer Science and Business System Nehru Institute of Technology T.M. Palayam Tamil Nadu India Department of Computer Science Engineering Karpagam Academy of Higher Education Chitkara Centre for Research and Development Chitkara University Himachal Pradesh India Department of Computer Science & Engineering (CS and E) IES Institute of Technology and Management IES University Bhopal M.P India Department of Electronics and Communication Engineering Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Chennai Tamil Nadu India

ISBN: (数字)9798350360165

ISBN: (纸本)9798350360172

It datasets are widely utilized, shared, and repurposed without providing enough context for understanding the decision-making processes that led to their creation. It is necessary to modify system creation and use procedures to handle the concrete effects of how knowledge for model building is envisioned and used in real-world applications as AI systems assume more and more important roles. documents are created at every phase of the data generation lifecycle to improve communication, aid in decision-making, and highlight the need of careful data work. By putting out this paradigm, we want to shed light on the choices and duties that are often disregarded while creating datasets, which is a crucial first step in bridging the duty of care gap in AI. This framework provides an essential and important resource for guaranteeing ethical AI activities, and it is in line with current developments in auditing procedures.

关键词： Ethics decision making Smart healthcare Production Planning Maintenance Stakeholders

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Approach to cognitive foundation® for the Innovative Optical and Wireless Network (IOWN)

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NTT Technical review 2020年第6期18卷 11-16页

作者： Hasebe, Katsuyuki Aoki, daisuke Kusakabe, Yusuke Kanzaki, Makoto Kudo, Ichiro Ikebe, Takashi Technology Planning Department NTT Platform Strategy Section Technology Planning Department NTT R&D Vision Group Research and Development Planning Department NTT

There is an urgent demand for information and communication technology (ICT) to meet the needs of industrial and social systems. These systems include the management of rapidly increasing devices and diverse digital services. In this article, we introduce NTT Group's approach to fully automated, autonomous, and self-evolving life-cycle management of ICT resources, including the deployment and optimization of such resources, to provide applications and solutions. © 2020 Nippon Telegraph and Telephone Corp.. All rights reserved.

关键词： Wireless networks

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FrOM rEQUIrEMENTS TO PrOTOTYPING: APPLICATION OF HUMAN-SYSTEM INTEGrATION METHOdOLOGY TO dIGITAL TWIN dESIGN

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Proceedings of the design Society 2021年 1卷 1617-1626页

作者： Stélian Camara dit Pinto dimitri Masson Eric Villeneuve Guy Boy Laetitia Urfels Université Paris-Saclay CentraleSupélec Laboratoire Génie Industriel 91190 Gif-sur-Yvette France UNIV. BORDEAUX ESTIA INSTITUTE OF TECHNOLOGY F-64210 Bidart France TOTAL SE R&D Program Gas & Sustainable development 64000 Pau France

Industrial digital transformation is bringing a need for new tools and concepts. However, designing such complex tools and concept requires methods to be correctly implemented. These methods are studied as part of system engineering to satisfy various identified goals, and more specifically human-system integration, which is the topic of this paper. This article introduces the method used to define key elements of human perception of reality called reality anchors to design scenarios to be tested in a digital twin prototype. This method goes from regulation study to user cognitive function analysis on the specific case of digital twin designing in oil-and-gas industry. This method highlighted the differences between theoretical process and the followed process as well as tools and competencies used to identify reality anchors. This knowledge will then be used to implement a new process to be implemented with a digital twin and scenarios to test the prototype using realistic simulation.

关键词： digital twins design methodology User centred design Process modelling Oil-and-gas domain

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Automated Bright Pixel detection System on LCd displays

Automated Bright Pixel Detection System on LCD Displays

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IEEE International Conference on Consumer Electronics (ICCE)

作者： Mateus O. Silva david A. O. Ferreira Kethilen Y. Ouchi Gustavo M. Torres Edma V.C. Urtiga Mattos Antônio M. C. Pereira Luciana r. Costa Victor L. G. Cavalcante Caio F.S. Cruz Agemilson P. Silva ruan J.S. Belem Anderson S. Jesus Wilson C.C. Junior ricardo G. Paula Thiago B. Bezerra Waldir S. S. Júnior Celso B. Carvalho Federal University of Amazonas and Center for R&D in Elec. and Inf. Tech. (UFAM/CETELI) AM Brazil ENVISION/TPV Group Technology Limited AM Brazil ICTS Institute Center of Development Research in Software Technology AM Brazil

Bright pixel defect occurs in LCds when a transistor of a subpixel remains bright. Bright pixels reduce the quality of manufactured devices, negatively impacting companies looking to meet an increasingly demanding market. In this wokr, conducted by three partners, called UFAM/CETELI, Envision (TPV Group) and ICTS, we propose an automated bright pixel defect detection system on LCd displays, which works in conjunction with two proposed methods, the quartile-based method and the standard-based method to identify bright pixels in LCds. The proposals obtained as best result 100% of accuracy and between 0.397s and 0.193s of average processing time per image. The results of high accuracy and reduced processing time demonstrate the contribution of our proposal, being possible to use it in the detection of bright pixels in real production lines that use LCds on TVs or monitors.

关键词： TV Conferences distributed databases Production Companies Liquid crystal displays Proposals

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Automated Mura defect detection System on LCd displays using random Forest Classifier

Automated Mura Defect Detection System on LCD Displays using...

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IEEE International Conference on Consumer Electronics (ICCE)

作者： Gustavo M. Torres Adriana S. Souza david A. O. Ferreira Luiz C. S. G. Júnior Kethilen Y. Ouchi Myke d. M. Valadão Mateus O. Silva Victor L. G. Cavalcante Edma V. C. U Mattos Antônio M. C. Pereira Caio F. S. Cruz Agemilson P. Silva ruan J. S. Belem André S. Costa Lucas G. C. Evangelista Wilson C. C. Junior ricardo G. Paula Thiago B. Bezerra Waldir S. S. Júnior Celso B. Carvalho Federal University of Amazonas and Center for R&D in Elec. and Inf. Tech. (UFAM/CETELI) AM-Brazil ENVISION/TPV Group Technology Limited AM-Brazil ICTS Institute Center of Development Research in Software Technology AM-Brazil

Mura on LCd displays are challenging visual defects to detect, due to uneven brightness of the panel. So, automatic detection of mura defects on TVs and monitors is an important application to ensure the quality of LCds manufactured in electronic product factories. In this work, conducted by three partners, called UFAM/CETELI, Envision (TPV Group) and ICTS, we propose an automated mura defect detection system on LCd displays that are based on similarities of the histograms and a machine learning (ML) algorithm called random forest. For comparison with the proposed method, we use one of the most popular methods of ML called k-Nearest Neighbors (k-NN). The experimental results show a detection rate above 99%, and processing time of 27 milliseconds per image, highlighting as contributions of our proposal, the high accuracy and reduced processing time, which allows the use of our solution in real production processes of LCd monitors.

关键词： Visualization TV Machine learning algorithms Shape Liquid crystal displays Production facilities Visual databases

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Correction to: Multi-objective Geometric Mean Optimizer (MOGMO): A Novel Metaphor-Free Population-Based Math-Inspired Multi-objective Algorithm

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International Journal of Computational Intelligence Systems 2024年第1期17卷 1-2页

作者： Pandya, Sundaram B. Kalita, Kanak Jangir, Pradeep Ghadai, ranjan Kumar Abualigah, Laith Department of Electrical Engineering Shri K.J. Polytechnic Bharuch India Department of Mechanical Engineering Vel Tech Rangarajan Dr Sagunthala R&D Institute of Science and Technology Avadi India University Centre for Research and Development Chandigarh University Mohali India Department of Biosciences Saveetha School of Engineering. Saveetha Institute of Medical and Technical Sciences Chennai India Department of Mechanical and Industrial Engineering Manipal Institute of Technology Manipal Academy of Higher Education Manipal India Department of Electrical and Computer Engineering Lebanese American University Byblos Lebanon Applied Science Research Center Applied Science Private University Amman Jordan School of Computer Sciences Universiti Sains Malaysia Gelugor Malaysia

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Target 2035-an update on private sector contributions

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rSC MEdICINAL CHEMISTrY 2023年第6期14卷 1002-1011页

作者： Ackloo, Suzanne Antolin, Albert A. Bartolome, Jose Manuel Beck, Hartmut Bullock, Alex Betz, Ulrich A. K. Boettcher, Jark. Brown, Peter J. Chaturvedi, Menorca Crisp, Alisa daniels, danette dreher, Jan Edfeldt, Kristina Edwards, Aled M. Egner, Ursula Elkins, Jon Fischer, Christian Glendorf, Tine Goldberg, Steven Hartung, Ingo V. Hillisch, Alexander Homan, Evert Knapp, Stefan Koester, Markus Kraemer, Oliver Llaveria, Josep Lessel, Uta Lindemann, Sven Linderoth, Lars Matsui, Hisanori Michel, Maurice Montel, Florian Mueller-Fahrnow, Anke Mueller, Susanne Owen, dafydd r. Saikatendu, Kumar Singh Santhakumar, Vijayaratnam Sanderson, Wendy Scholten, Cora Schapira, Matthieu Sharma, Sujata Shireman, Brock Sundstrom, Michael Todd, Matthew H. Tredup, Claudia Venable, Jennifer Willson, Timothy M. Arrowsmith, Cheryl H. [a]Structural Genomics Consortium University of Toronto Toronto Ontario M5G 1L7 Canada [b]ProCURE Catalan Institute of Oncology Oncobell Bellvitge Institute for Biomedical Research (IDIBELL) L'Hospitalet del Llobregat Barcelona Catalonia Spain [c]A Division of Janssen-Cilag S.A. Janssen Research and Development Toledo Spain [d]Research and Development Bayer AG Pharmaceuticals 42103 Wuppertal Germany [e]Center for Medicines Discovery Old Road Campus University of Oxford Roosevelt Drive Headington Oxford OX3 7DQ UK [f]Merck KGaA Darmstadt Germany [g]Boehringer Ingelheim RCV GmbH & Co KG Vienna Austria [h]Structural Genomics Consortium University of North Carolina at Chapel Hill USA [i]Boehringer Ingelheim International Binger Str. 173 D-55216 Ingelheim Germany [j]Division of Cancer Therapeutics The Institute of Cancer Research London SM2 5NG UK [k]Foghorn Therapeutics 500 Technology Square Suite 700 Cambridge MA 02139 USA [l]Structural Genomics Consortium Department of Medicine Karolinska University Hospital and Karolinska Institutet Stockholm Sweden [m]Nuvisan Innovation Campus Berlin GmbH MÃ¼llerstraÃŸe 178 13353 Berlin Germany [n]Discovery Chemistry Merck & Co. Inc. Boston Massachusetts 02115 USA [o]Research & Early Development Novo Nordisk A/S MÃ¥lÃ¸v Denmark [p]Janssen Research and Development LLC San Diego California USA [q]Medicinal Chemistry Global R&D Merck Healthcare KGaA Frankfurter StraÃŸe 250 64293 Darmstadt Germany [r]Science for Life Laboratory Department of Oncology-Pathology Karolinska Institutet Stockholm Sweden [s]Institute of Pharmaceutical Chemistry Goethe University Frankfurt Frankfurt 60438 Germany [t]Structural Genomics Consortium BMLS Goethe University Frankfurt Frankfurt 60438 Germany [u]Boehringer Ingelheim Pharma GmbH & Co. KG Birkendorfer Str. 65 D-88397 Biberach an der Riss Germany [v]Neuroscience Drug Discovery Unit Research Takeda Pharmaceutical Company Limited Fujisawa Kanagawa Japan [w]Boehringer Ingelheim Pharma GmbH & Co. KG Birkendorfer Str. 65 D-88397

Target 2035, an international federation of biomedical scientists from the public and private sectors, is leveraging 'open' principles to develop a pharmacological tool for every human protein. These tools are important reagents for scientists studying human health and disease and will facilitate the development of new medicines. It is therefore not surprising that pharmaceutical companies are joining Target 2035, contributing both knowledge and reagents to study novel proteins. Here, we present a brief progress update on Target 2035 and highlight some of industry's contributions.

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Improving Microgrid reliability and Efficiency Through Energy Storage Systems with a Pyramidal dilation Attention Convolutional Neural Network for renewable Energy Integration

Improving Microgrid Reliability and Efficiency Through Energ...

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Sustainable Expert Systems (ICSES), International Conference on

作者： Bondu Vijayakumar K.E. Purushothamarn Priyanka Khabiya Akriti Garg rajesha N S. Kaliappan Department of Electrical and Electronics Engineering Madanapalle Institute of Technology & Science Annamayya Andhra Pradesh India Department of Electronics and Communication Engineering Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Avadi Chennai Tamil Nadu India Department of Computer Science Engineering Mandsaur University Mandsaur Madhya Pradesh India Department of Electrical Engineering Mahatma Jyotiba Phule Rohilkhand University Bareilly Uttar Pradesh India Department of Electronics and Communication Engineering Sri Eshwar College of Engineering Coimbatore Tamil Nadu India Division of Research and Development Lovely Professional University Jalandhar Delhi Punjab India

ISBN: (数字)9798331540364

ISBN: (纸本)9798331540371

Microgrid (MG) design and deployment are heavily reliant on reliability. Integrating renewable energy sources (rESs) into power grids poses considerable challenges for maintaining grid reliability due to their intermittent nature. This paper proposes a novel approach to enhance grid stability by incorporating Energy Storage Systems (ESS) coupled with Pyramidal dilation Attention Convolutional Neural Network (PdACNN). The goal of the proposed method is to improve efficiency and lower electricity costs. The proposed PdACNN optimizes the control of Energy Storage Systems by providing more trustworthy forecasts of energy demand as well as supply. By, then the proposed method is implemented in MATLAB and evaluated their performance with various existing methods. The PdACNN method surpasses existing techniques in both efficiency and cost-effectiveness. It achieves a high efficiency of 95.7 % and reduces total electricity costs to $650/kWh, outperforming the Artificial Neural Network (ANN), and recurrent NN (rNN) and Convolutional NN (CNN) methods.

关键词： renewable energy sources Costs Electricity Microgrids Power system stability Stability analysis reliability Convolutional neural networks Thermal stability Energy storage

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Cyanobacteria-based near-infrared light-excited self-supplying oxygen system for enhanced photodynamic therapy of hypoxic tumors

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Nano research 2021年第3期14卷 667-673页

作者： Yinghua Zhang Huifang Liu Xinyue dai Hang Li Xiaohan Zhou Shizhu Chen Jinchao Zhang Xing-Jie Liang Zhenhua Li College of Chemistry&Environmental Science Analytical Chemistry Key Laboratory of Hebei ProvinceChemical Biology Key Laboratory of Hebei ProvinceHebei UniversityBaoding071002China Key Laboratory of Medicinal Chemistry and Molecular Diagnosis of Ministry of Education Institute of Life Science and Green DevelopmentHebei UniversityBaoding071002China College of Pharmaceutical Science Key Laboratory of Pharmaceutical Quality Control of Hebei ProvinceHebei UniversityBaoding071002China Beijing Pharmaceutical Group Company Limited Beijing100101China The National Institutes of Pharmaceutical R&D Co. Ltd.China Resources Pharmaceutical Group LimitedBeijing102206China CAS Key Laboratory for Biological Effects of Nanomaterials and Nanosafety National Center for Nanoscience and TechnologyBeijing100190China

Tumor hypoxia has been considered to induce tumor cell resistance to radiotherapy and anticancer chemotherapy,as well as predisposing for increased tumor ***,strategies for the eradication of the hypoxic tumor are highly *** therapy(PdT)is a new technique that can be used to treat tumors using laser irradiation to photochemically activate a *** to traditional radiotherapy and chemotherapy,photodynamic therapy has many advantages,such as good selectivity,low toxicity,and less trauma and ***,PdT is oxygen-dependent,and the lack of oxygen in hypoxic tumors renders photodynamic therapy ***,the earliest photosynthetic oxygen-generating organisms,can utilize water as an electron donor to reduce CO_(2) into organic carbon compounds along with continuously releasing oxygen under *** by this,herein,cyanobacteria were used as a living carrier of photosensitizer conjugated upconversion nanoparticles(UCNP)to construct a self-supplying oxygen PdT *** in the PdT efficiency for hypoxic tumors can be achieved as a result of in situ oxygen production by cyanobacteria under near-infrared(NIr)light using UCNP as a light harvesting antenna.A successful demonstration of this concept would be of great significance and could open the door to a new generation of carrier systems in the field of hypoxia-targeted drug transport platforms.

关键词： self-supplying oxygen cyanobacteria hypoxic tumor photodynamic therapy upconversion nanoparticles

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