• Title/Summary/Keyword: Promising Emerging Technology

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Chemical kinomics: a powerful strategy for target deconvolution

  • Kim, Do-Hee;Sim, Tae-Bo
    • BMB Reports
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    • v.43 no.11
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    • pp.711-719
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    • 2010
  • Kinomics is an emerging and promising approach for deciphering kinomes. Chemical kinomics is a discipline of chemical genomics that is also referred to as "chemogenomics", which is derived from chemistry and biology. Chemical kinomics has become a powerful approach to decipher complicated phosphorylation-based cellular signaling networks with the aid of small molecules that modulate kinase functions. Moreover, chemical kinomics has played a pivotal role in the field of kinase drug discovery as it enables identification of new molecular targets of small molecule kinase modulators and/or exploitation of novel functions of known kinases and has also provided novel chemical entities as hit/lead compounds. In this short review, contemporary chemical kinomics technologies such as activity-based protein profiling, T7 kinasetagged phages, kinobeads, three-hybrid systems, fluorescenttagged kinase binding assays, and chemical genomic profiling are discussed along with a novel allosteric Bcr-Abl kinase inhibitor (GNF-2/GNF-5) as a successful application of chemical kinomics approaches.

Materials and Electrochemistry: Present and Future Battery

  • Paul, Subir
    • Journal of Electrochemical Science and Technology
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    • v.7 no.2
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    • pp.115-131
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    • 2016
  • Though battery chemistry and technology had been developed for over a hundred years back, increase in demand for storage energy, in the computer accessories, cell phones, automobile industries for future battery car and uninterrupted power supply, has made, the development of existing and new battery, as an emerging areas of research. With innovation of high energetic inexpensive Nano structure materials, a more energy efficient battery with lower cost can be competitive with the present primary and rechargeable batteries. Materials electrochemistry of electrode materials, their synthesis and testing have been explained in the present paper to find new high efficient battery materials. The paper discusses fundamental of electrochemistry in finding true cell potential, overvoltages, current, specific energy of various combinations of anode-cathode system. It also describes of finding the performance of new electrode materials by various experiments viz. i. Cyclic Voltammetry ii. Chronoamperometry iii. Potentiodynamic Polarization iv. Electrochemical Impedance Spectroscopy (EIS). Research works of different battery materials scientists are discussed for the development of existing battery materials and new nano materials for high energetic electrodes. Problems and prospects of a few promising future batteries are explained.

Improving GIS Services using the GML (GML을 이용한 지리정보 서비스 향상방안에 관한 연구)

  • 전철민;고준환;장민철;김병화
    • Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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    • 2004.11a
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    • pp.445-450
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    • 2004
  • Due to rapid development of If, difference types of services and platforms are being developed increasingly. With the emerging mobile technologies, Geographic Information System (GIS) is also getting more attention recently. But it is known to have some limitations in being served in different types of mobile devices and platforms. While information services are limited by data format and data exchange between platforms, the extensible Markup Language (XML) is getting focused as the most promising technology as the solution to such problem. Geographic Markup Language (GML) is based on XML technology and is being frequently mentioned recently as the solution to service problem on different mobile devices as well as the internet. In this study, we suggested the framework to use the GML in order to transfer and represent geographical data through the on-line or wireless platforms. We compared different application types which are currently used with GML and proposed to improve GIS services using the GML in geographical data transfer and description.

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Link Analysis on Institutional Repository web Network of Indian Institute of Technologies Registered in open DOAR-uncovering Patterns and Trends Hidden in the Network

  • Kumar, Kutty
    • International Journal of Knowledge Content Development & Technology
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    • v.8 no.2
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    • pp.23-36
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    • 2018
  • Institutional repositories (IR) are promising to be extremely advantageous to scholars especially in developing countries. IR initiatives started in India during the late nineties and the popularity of this concept is growing rapidly in the higher educational and research institutions to disseminate newly emerging knowledge and expertise. The purpose of this paper is to critically analyze the network links of IR websites among four IITs that are registered in open DOAR (Directory of Open Access Repositories) web portal. The Institutional Repositories chosen for the study are IIT Delhi, IIT Hyderabad, IIT Bombay, and IIT Kanpur. The analysis of the study focused on standard graph and network cohesion metrics, such as density, diameter, eccentricity and distances, and clustering coefficient; for an even more detailed analysis advanced centrality measures and fast algorithms such as clique census are used.

Modification of SnO2 Electron Transport Layer in Perovskite Solar Cells

  • Helen Hejin Park
    • Nanomaterials
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    • v.12 no.23
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    • pp.4326-4359
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    • 2022
  • Rapid development of the device performance of organic-inorganic lead halide perovskite solar cells (PSCs) are emerging as a promising photovoltaic technology. Current world-record efficiency of PSCs is based on tin oxide (SnO2) electron transport layers (ETLs), which are capable of being processed at low temperatures and possess high carrier mobilities with appropriate energy- band alignment and high optical transmittance. Modification of SnO2 has been intensely investigated by various approaches to tailor its conductivity, band alignment, defects, morphology, and interface properties. This review article organizes recent developments of modifying SnO2 ETLs to PSC advancement using surface and bulk modifications, while concentrating on photovoltaic (PV) device performance and long-term stability. Future outlooks for SnO2 ETLs in PSC research and obstacles remaining for commercialization are also discussed.

Influencing Factors on the Acceptance of Blockchain Technology in Capturing and Sharing Project Knowledge: A Grounded Theory Study

  • Bardesy, Waseem S.;Alsereihy, Hassan A.
    • International Journal of Computer Science & Network Security
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    • v.22 no.10
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    • pp.262-270
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    • 2022
  • In the past two decades, there has been an increasing interest in project knowledge management, as knowledge is a crucial resource for project management success. Knowledge capture and sharing are two effective project management practices. Capturing and sharing project knowledge has become more efficient due to technological advances. Nevertheless, present technologies face several technical, functional, and usage obstacles and constraints. Thus, Blockchain technology might provide promising answers, yet, there is still a dearth of understanding regarding the technology's proper and practical application. Consequently, the goal of this study was to fill the gap in the literature about the adoption of Blockchain technology and to investigate the project stakeholders' acceptance and willingness to utilize the technology for capturing and sharing project knowledge. Due to this inquiry's exploratory and inductive characteristics, qualitative research methodology was used, namely the Grounded Theory research approach. Accordingly, eighteen in-depth, semi-structured interviews were conducted to collect the data. Concurrent data collection and analysis were undertaken, with findings emerging after three coding steps. Four influencing factors and one moderating factor were identified as affecting users' acceptance of Blockchain technology for capturing and sharing project knowledge. Consequently, the results of the study aimed to fill a gap in the existing literature by undertaking a comprehensive analysis of the unrealized potential of Blockchain technology to improve knowledge capture and sharing in the project management environment.

Technical requirements for cultured meat production: a review

  • Ramani, Sivasubramanian;Ko, Deunsol;Kim, Bosung;Cho, Changjun;Kim, Woosang;Jo, Cheorun;Lee, Chang-Kyu;Kang, Jungsun;Hur, Sunjin;Park, Sungkwon
    • Journal of Animal Science and Technology
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    • v.63 no.4
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    • pp.681-692
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    • 2021
  • Environment, food, and disease have a selective force on the present and future as well as our genome. Adaptation of livestock and the environmental nexus, including forest encroachment for anthropological needs, has been proven to cause emerging infectious diseases. Further, these demand changes in meat production and market systems. Meat is a reliable source of protein, with a majority of the world population consumes meat. To meet the increasing demands of meat production as well as address issues, such as current environmental pollution, animal welfare, and outbreaks, cellular agriculture has emerged as one of the next industrial revolutions. Lab grown meat or cell cultured meat is a promising way to pursue this; however, it still needs to resemble traditional meat and be assured safety for human consumption. Further, to mimic the palatability of traditional meat, the process of cultured meat production starts from skeletal muscle progenitor cells isolated from animals that proliferate and differentiate into skeletal muscle using cell culture techniques. Due to several lacunae in the current approaches, production of muscle replicas is not possible yet. Our review shows that constant research in this field will resolve the existing constraints and enable successful cultured meat production in the near future. Therefore, production of cultured meat is a better solution that looks after environmental issues, spread of outbreaks, antibiotic resistance through the zoonotic spread, food and economic crises.

Microbial Fuel Cells: Recent Advances, Bacterial Communities and Application Beyond Electricity Generation

  • Kim, In-S.;Chae, Kyu-Jung;Choi, Mi-Jin;Verstraete, Willy
    • Environmental Engineering Research
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    • v.13 no.2
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    • pp.51-65
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    • 2008
  • The increasing demand for energy in the near future has created strong motivation for environmentally clean alternative energy resources. Microbial fuel cells (MFCs) have opened up new ways of utilizing renewable energy sources. MFCs are devices that convert the chemical energy in the organic compounds to electrical energy through microbial catalysis at the anode under anaerobic conditions, and the reduction of a terminal electron acceptor, most preferentially oxygen, at the cathode. Due to the rapid advances in MFC-based technology over the last decade, the currently achievable MFC power production has increased by several orders of magnitude, and niche applications have been extended into a variety of areas. Newly emerging concepts with alternative materials for electrodes and catalysts as well as innovative designs have made MFCs promising technologies. Aerobic bacteria can also be used as cathode catalysts. This is an encouraging finding because not only biofouling on the cathode is unavoidable in the prolonged-run MFCs but also noble catalysts can be substituted with aerobic bacteria. This article discusses some of the recent advances in MFCs with an emphasis on the performance, materials, microbial community structures and applications beyond electricity generation.

Selecting the Optimal Hidden Layer of Extreme Learning Machine Using Multiple Kernel Learning

  • Zhao, Wentao;Li, Pan;Liu, Qiang;Liu, Dan;Liu, Xinwang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.12 no.12
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    • pp.5765-5781
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    • 2018
  • Extreme learning machine (ELM) is emerging as a powerful machine learning method in a variety of application scenarios due to its promising advantages of high accuracy, fast learning speed and easy of implementation. However, how to select the optimal hidden layer of ELM is still an open question in the ELM community. Basically, the number of hidden layer nodes is a sensitive hyperparameter that significantly affects the performance of ELM. To address this challenging problem, we propose to adopt multiple kernel learning (MKL) to design a multi-hidden-layer-kernel ELM (MHLK-ELM). Specifically, we first integrate kernel functions with random feature mapping of ELM to design a hidden-layer-kernel ELM (HLK-ELM), which serves as the base of MHLK-ELM. Then, we utilize the MKL method to propose two versions of MHLK-ELMs, called sparse and non-sparse MHLK-ELMs. Both two types of MHLK-ELMs can effectively find out the optimal linear combination of multiple HLK-ELMs for different classification and regression problems. Experimental results on seven data sets, among which three data sets are relevant to classification and four ones are relevant to regression, demonstrate that the proposed MHLK-ELM achieves superior performance compared with conventional ELM and basic HLK-ELM.

Development and Application of Pervaporation Membranes (투과증발막의 발전과 응용)

  • 유제강;임지원;이영무;남상용
    • Membrane Journal
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    • v.12 no.4
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    • pp.193-206
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    • 2002
  • Pervaporation separation is one of promising membrane technology for the energy saving processes and it has been developed to separate complex mixture systems including azeotropic mixture, close-boiling mixture, aqueous organic mixtures etc. Many researchers focused on dehydration pervaporation separation and they commercialized ethanol dehydration and isopropanol recycling processes. Nowadays, petroleum separation and volatile organic compound removal using pervaporation membranes is one of the emerging application of pervaporation separation. We reviewed the development and application of pervaporation membranes.