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      • KCI등재

        Tetrapleura tetraptera curtails oxidative and proinflammatory biochemical events in lithium-pilocarpine model of status epilepticus

        Comfort O. Oladejo,Omowumi O. Ogundele,Abimbola R. Adeoti,Jesutola R. Atilola,M. Tolulope Olaleye,Afolabi C. Akinmoladun 경희대학교 융합한의과학연구소 2023 Oriental Pharmacy and Experimental Medicine Vol.23 No.4

        Tetrapleura tetraptera Taub. (Fabaceae), commonly known as Aidan is ethnopharmacologically used for the management of health conditions such as diabetes mellitus, leprosy, epilepsy, and stroke in Nigeria. This study evaluated the anti-oxidoinflammatory properties of T. tetraptera methanol leaf extract (TTE) in lithium-pilocarpine-induced status epilepticus in Wistar rats. The extract was phytochemically screened and HPLC fingerprinting was performed. Animals were intraperitoneally administered with 127 mg/kg lithium chloride followed by 25 mg/kg pilocarpine 20 h later to induce status epilepticus. The animals were post treated with 50, 100 and 200 mg/kg TTE with 10 mg/kg valproic acid as the reference standard drug. Phytochemical screening of TTE confirmed the presence of tannins, phenols, alkaloids, terpenoids, flavonoids, saponins, glycosides and steroids. Quantitative phytochemical and antioxidant analyses of the extract indicated significant in vitro antioxidant and radical scavenging activity. HPLC analysis of the extract confirmed the presence of aridanin and polyphenols. TTE ameliorated redox imbalance by increasing markers for oxidative stress such as ferric reducing antioxidant power, glutathione level, catalase, glutathione S-transferase and superoxide dismutase activities. Moreover, TTE ameliorated pro-inflammatory events by reducing the level of the pro-inflammatory mediator nitric oxide, attenuating lipid peroxidation (which produces inflammatory lipid peroxidation-derived aldehydes), and decreasing the activities of xanthine oxidase and lactate dehydrogenase in the brain. These results indicated that the leaf of Tetrapleura tetraptera has therapeutic potential against status epilepticus by reversing oxidoinflammatory events. Tetrapleura tetraptera leaf extracts could be used to produce novel plant-based pharmaceuticals for treating status epilepticus and associated disorders.

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      • KCI등재
      • KCI등재

        Toxic Pyrene Metabolism in Mycobacterium gilvum PYR-GCK Results in the Expression of Mammalian Cell Entry Genes as Revealed by Transcriptomics Study

        ( Abimbola Comfort Badejo ),( Won Hyong Chung ),( Nam Shin Kim ),( Se Kye Kim ),( Jin Choul Chai ),( Young Seek Lee ),( Kyoung Hwa Jung ),( Hyo Joon Kim ),( Young Gyu Chai ) 한국미생물 · 생명공학회 2014 Journal of microbiology and biotechnology Vol.24 No.9

        Mycobacterium gilvum PYR-GCK is a bacterial strain under study for its bioremediation use on heavy hydrocarbon pollutants in the environment. During the course of our study, mammalian cell entry (mce) genes, known to facilitate pathogenicity in M. tuberculosis, were highly expressed during a comparative and substrate-related cultural global transcriptomic study. RNA sequencing of the global transcriptome of the test strain in two different substrates, pyrene and glucose, showed high expression of the mce genes based on the differential results. After validating the expression of these genes with quantitative real-time PCR, we arrived at the conclusion that the genes were expressed based on the pyrene substrate (a phytosterol compound), and sterol metabolism is said to activate the expression of the mce genes in some actinomycetes bacteria, M. gilvum PYR-GCK in this case. This study is believed to be important based on the fact that some mycobacterial strains are undergoing a continuous research as a result of their use in practical bioremediation of anthropogenic exposure of toxic organic wastes in the environment.

      • Cooperative Learning Strategy in Enhancing Mathematics Achievement of Low Learning Ability Students in Lagos State, Nigeria

        Adeniyi Comfort Olawumi,Akanmu Morenikeji Alex APEC국제교육협력원 2019 Asia-Pacific Cybereducation Journal Vol.15 No.1

        A typical Mathematics class is comprised of a heterogeneous group of students in terms of academic ability, learning styles, intelligence quotient, home background and the likes. The inability of the teachers to effectively manage these differences usually leads to poor academic achievement among the learners, especially the weak ones. This study therefore determined the effectiveness of Cooperative Learning Technique on low learning ability students in Mathematics. Quasi-experimental research design was adopted. The sample size purposively selected consisted of 137 students from four schools in Education District II and IV, Lagos State, Nigeria. Two hypotheses were raised and tested at 0.05 level of significance. The collected data were analyzed using t-test. The result of the analysis revealed that cooperative learning strategy enhanced the low ability students’ achievement in Mathematics. Also, cooperative learning strategy enhanced low learning abilities students in understanding mathematics irrespective of their gender. It is therefore, recommended that teachers should adopt the cooperative learning strategy to teach Mathematics. For teachers to be more conversant with the use of cooperative learning strategy, as well as other interactive methods of teaching mathematics, workshops and conferences should be organized for secondary schools on the use of different methods of teaching learners from different ability levels, especially cooperative learning strategy.

      • KCI등재

        QoS Provisioning and Energy Saving Scheme for Distributed Cognitive Radio Networks Using Deep Learning

        Mduduzi Comfort Hlophe,Bodhaswar T. Maharaj 한국통신학회 2020 Journal of communications and networks Vol.22 No.3

        One of the major challenges facing the realization of cognitive radios (CRs) in future mobile and wireless communicationsis the issue of high energy consumption. Since future network infrastructure will host real-time services requiring immediate satisfaction, the issue of high energy consumption will hinder the fullrealization of CRs. This means that to offer the required qualityof service (QoS) in an energy-efficient manner, resource management strategies need to allow for effective trade-offs between QoSprovisioning and energy saving. To address this issue, this paperfocuses on single base station (BS) management, where resourceconsumption efficiency is obtained by solving a dynamic resourceallocation (RA) problem using bipartite matching. A deep learning(DL) predictive control scheme is used to predict the traffic loadfor better energy saving using a stacked auto-encoder (SAE). Considered here was a base station (BS) processor with both processorsharing (PS) and first-come-first-served (FCFS) sharing disciplinesunder quite general assumptions about the arrival and service processes. The workload arrivals are defined by a Markovian arrivalprocess while the service is general. The possible impatience of customers is taken into account in terms of the required delays. Inthis way, the BS processor is treated as a hybrid switching system that chooses a better packet scheduling scheme between meanslowdown (MS) FCFS and MS PS. The simulation results presentedin this paper indicate that the proposed predictive control schemeachieves better energy saving as the traffic load increases, and thatthe processing of workload using MS PS achieves substantially superior energy saving compared to MS FCFS.

      • KCI등재

        LEADERSHIP IN COMPLEX ADAPTIVE SYSTEMS

        LOUISE K. COMFORT,SANDRA L. RESODIHARDJO 한국행정학회 2013 International Review of Public Administration Vol.18 No.1

        The concept of leadership involves making judgments that lead to action at different scales of responsibility and operations. It means the capacity to engage not only individuals in solving immediate problems, but also groups and organizations as they address broader issues of collective interest, as well as public decision making and collective action at the societal level. The exercise of leadership varies by scale, complexity of operations, and impact from the individual paramedic who has to make instant decisions regarding how to deal with an injured patient to an international coordinating committee that decides how to distribute humanitarian aid following a disaster. The contributing authors examine how leadership works in practice at different scales of public service operations. These scales range from the micro level (within organizations) to the meso level (collaboration among actors, organizations, and organizational networks)to the macro level (collaboration among international, national, regional,and local actors).

      • Collective Cognition, Action, and Complex Time: Managing Response to COVID-19 on a Global Scale

        ( Louise K. Comfort ) 한국정책학회 2020 International Journal of Policy Studies Vol.11 No.2

        The global challenge of COVID-19 tests the capacity of nations to respond in a timely, effective manner to reduce the impact of a lethal threat to the health and well-being of their respective populations. This article explores the gap between cognition and action that limits the capacity for timely response, and examines the concept of complex time as a dimension through which different nations perceive the urgency and necessity for action. Based on publicly available sources, this article constructs brief vignettes of four nations - South Korea, Japan, Italy, and the United States - to examine differences in response operations based on varying levels of cognition/action that lead to subsequent differences in communication, coordination, and control of COVID-19. The analysis concludes that a global learning process, supported by timely investment in both technical and organizational infrastructure for the nations of the world, is fundamental to managing global risks.

      • KCI등재

        EMERGENT LEADERSHIP IN EXTREME EVENTS: A KNOWLEDGE COMMONS FOR SUSTAINABLE COMMUNITIES

        LOUISE K. COMFORT,AYA OKADA 한국행정학회 2013 International Review of Public Administration Vol.18 No.1

        Extreme events create extraordinary demands on public managers, particularly at national and international scales of operation. The rapid escalation of demand in contexts of urgent need, scarce resources, and cascading, interdependent consequences challenges the physical, intellectual, technical, and social skills of public managers in profound ways, with high potential for failure at sobering costs. We examine this process of evolving leadership in two different disaster contexts, Haiti and Japan, and conclude that developing a “knowledge commons” or interactive information infrastructure offers a constructive means of improving decision processes for public managers by engaging a wider exchange of knowledge and skills in situations of deep uncertainty. Timely, valid information becomes the key resource in mobilizing collective action in response to disaster in both developed and developing countries.

      • Sport Talent Identification and Development in Nigeria

        Olufemi Adegbesan,Martin Mokgwathi,Comfort Mokgothu,Kayode Omolawon,Jonathan Ammah,Isiaka Oladipo 한국코칭능력개발원 2010 International Journal of Coaching Science Vol.4 No.2

        Sport talent identification and development has become an interesting area of sport science research and the need to explore the basic fundamentals of this process necessitated the need for this preliminary investigation in Nigeria with the view to develop an ideal sport talent identification and development model that could be used for future recruitment and selection of young potencial athletes. Data was collected from 50 participants using a self-report instrument based on the talent identification and development characteristics and indicatiors. Results indicated that the physiological characteristic with the mean value (m = 15.26 ± sd = 8.44) was the most apparent considered variable used by the participants during the talent identification and development process when compared with other variables of motor skill, psychology, physiology and body morphology. Results on the indicators of sport talent identification and development revealed that majority of the participants, 27(54.0%) of coaches place emphases more on both the performance of basic motor skills and the combination of the anthropometrical, physical and physiological profiles of the young talented athletes during the talent identification and development process. Conclusively, this baseline information has given us insight to the future direction of this research which is the examination of these talent identification characteristics and basic indicators using descriptive, field and laboratory measures with an enlarged sample that will include sport scientists. This will enable us to analytically dissolve the potentials of the young athletes into a series of measurable and non-measurable components.

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