Confucianism and contemporary Chinese politics
In: Peace research abstracts journal, Volume 44, Issue 5, p. 136
ISSN: 0031-3599
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In: Peace research abstracts journal, Volume 44, Issue 5, p. 136
ISSN: 0031-3599
In: Journal of Third World studies: historical and contemporary Third World problems and issues, Volume 11, Issue 1, p. 14-43
ISSN: 8755-3449
In: Chapman and Hall Advanced Industrial Technology Series
1 Expert System Technology: Its Market and Trends -- Definition of Expert Systems -- Forecasts of Expert System Markets -- Experts' Views on the Future of Expert System Technology -- Major Trends Observed -- 2 Basics of Expert System Technology -- The Ultimate Goal of Expert System Technology -- The Three Stages of Expert System Technology Growth -- The Basic Structure of Expert Systems -- 3 What Software Engineers and Managers Need to Know -- Advantages of Expert Systems over Conventional Software Programs -- Major Responsibility of Knowledge Engineers -- Development Cycles of Expert Systems -- New Skills Needed by Software Engineers -- New Knowledge Needed by Software Managers -- 4 Hardware and Software Tools Available to Software Engineers and Managers -- Computing Environment -- Programming Languages and Tools -- Considerations in Selecting Hardware and Software -- 5 Evaluation of Development Tools -- Evaluation Criteria -- Preliminary Evaluation of PC Tools -- Preliminary Review of AI Workstation Tools -- Lessons Learned -- 6 Historical Applications of Expert System Technology -- Statistics of Historical Applications -- Typical Tasks Involving Expert System Technology -- Two Case Studies of Expert System Development Cycles -- Lessons Learned -- 7 Prominent Applications to Conventional Software and Business -- Prerequisites for Successful Expert System Applications -- Major Approaches of Expert System Technology to Improvement of Conventional Software -- Application to Expert System Technology to Conventional Software Packages -- Expert System Technology and Business Applications -- 8 Proposing Expert System Projects -- Management and Human Expert Attitudes Toward Expert System Projects -- Obstacles in Initiating Expert Systems -- Who Initiates Expert System Projects -- Briefing Requirements -- Planning an Expert System Project -- Selecting Project Leaders, Knowledge Engineers, and System Programmers -- 9 Rapid Prototyping Expert Systems -- Internal Strategy -- Design Principles -- Where to Start Prototyping -- A Step-by-Step Life-Cycle Approach -- 10 Developing and Delivering Full-Scale Expert Systems -- Establishment of a System Goal -- Managing Knowledge Refinement -- Managing Expectations -- Evaluation and Validation -- Delivery, Maintenance, and Training -- Appendix A List of Commercial or Field-Tested Tools and Systems -- Appendix B List of Major Expert System Companies and Publishers -- Appendix C Glossary -- Selected Bibliography.
In: World health forum: an intern. journal of health development, Volume 17, Issue 4, p. 357-359
ISSN: 0251-2432
In: Asian affairs, Volume 12, Issue 3, p. 291-308
ISSN: 1477-1500
In: Asian affairs: journal of the Royal Society for Asian Affairs, Volume 68, p. 291-308
ISSN: 0306-8374
In: Asian affairs, Volume 9, Issue 1, p. 44-56
ISSN: 1477-1500
In: Asian affairs: journal of the Royal Society for Asian Affairs, Volume 65, p. 44-56
ISSN: 0306-8374
In: Asian affairs: an American review, Volume 62, p. 307-316
ISSN: 0092-7678
In: Natural hazards and earth system sciences: NHESS, Volume 14, Issue 8, p. 2089-2103
ISSN: 1684-9981
Abstract. Dynamic collapses of deeply mined coal rocks are severe threats to miners; in order to predict collapses more accurately using electromagnetic radiation (EMR), we investigate the spatiotemporal multifractal characteristics and formation mechanism of EMR induced by underground coal mining. Coal rock in the burst-prone zone often exchanges materials (gas, water and coal) and energy with its environment and gradually transitions from its original stable equilibrium structure to a nonequilibrium dissipative structure with implicit spatiotemporal complexity or multifractal structures, resulting in temporal variation in multifractal EMR. The inherent law of EMR time series during damage evolution was analyzed by using time-varying multifractal theory. Results show that the time-varying multifractal characteristics of EMR are determined by damage evolution processes. Moreover, the dissipated energy caused by the damage evolutions, such as crack propagation, fractal sliding and shearing, can be regarded as the fingerprint of various EMR micro-mechanics. The dynamic spatiotemporal multifractal spectrum of EMR considers both spatial (multiple fractures) and temporal (dynamic evolution) characteristics of coal rocks and records the dynamic evolution processes of rock bursts. Thus, it can be used to evaluate the coal deformation and fracture process. The study is of significance for us to understand the EMR mechanism in detail and to increase the accuracy of the EMR method in forecasting dynamic disasters.
In: Materials & Design, Volume 29, Issue 2, p. 381-387
The Cooperative Medical System (CMS) and its barefoot doctors have been in decline in rural China for nearly a decade. In order to explore the reasons for this, in 1987 we carried out a survey of villagers, barefoot doctors, and local administrators in Fengxian, Shanggoa, and Loaan counties, where incomes are good, fair, and low, respectively. The state of the CMS in these counties was contrasted and the situations which prevailed in 1978, 1982, and 1985, when the system was, respectively, at its peak, had begun to decline, and had declined markedly, were compared. A random sample of villages was selected and all the barefoot doctors and administrators as well as a random sample of households were surveyed. The results indicate that health status (as measured by infant mortality, immunization coverage, and rate of infectious diseases) has decreased in areas where the CMS has declined, while per capita incomes increased. Concomitantly, villager's expenditures on health care have increased. Barefoot doctors and their patients were, however, reasonably happy with the system, and in its absence the doctors are no longer able to obtain ongoing training. The CMS was fiscally sound, and did not decline to the same extent in all areas--it continues to thrive in Fengxian, which is relatively affluent. It is concluded that the system probably declined because many local administrators perceived that it no longer enjoyed the backing of the central government.
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In: International Geology Review, Volume 45, Issue 4, p. 371-382
We thank CERN for the very successful operation of the LHC, as well as the support staff from our institutions without whom ATLAS could not be operated efficiently. We acknowledge the support of ANPCyT, Argentina; YerPhI, Armenia; ARC, Australia; BMWFW and FWF, Austria; ANAS, Azerbaijan; SSTC, Belarus; CNPq and FAPESP, Brazil; NSERC, NRC, and CFI, Canada; CERN; CONICYT, Chile; CAS, MOST, and NSFC, China; COLCIENCIAS, Colombia; MSMT CR, MPO CR, and VSC CR, Czech Republic; DNRF and DNSRC, Denmark; IN2P3-CNRS, CEA-DSM/IRFU, France; GNSF, Georgia; BMBF, HGF, and MPG, Germany; GSRT, Greece; RGC, Hong Kong SAR, China; ISF, I-CORE, and Benoziyo Center, Israel; INFN, Italy; MEXT and JSPS, Japan; CNRST, Morocco; FOM and NWO, Netherlands; RCN, Norway; MNiSW and NCN, Poland; FCT, Portugal; MNE/IFA, Romania; MES of Russia and NRC KI, Russian Federation; JINR; MESTD, Serbia; MSSR, Slovakia; ARRS and MIZŠ, Slovenia; DST/NRF, South Africa; MINECO, Spain; SRC and Wallenberg Foundation, Sweden; SERI, SNSF, and Cantons of Bern and Geneva, Switzerland; MOST, Taiwan; TAEK, Turkey; STFC, United Kingdom; DOE and NSF, United States of America. In addition, individual groups and members have received support from BCKDF, the Canada Council, CANARIE, CRC, Compute Canada, FQRNT, and the Ontario Innovation Trust, Canada; EPLANET, ERC, FP7, Horizon 2020, and Marie Skłodowska-Curie Actions, European Union; Investissements d'Avenir Labex and Idex, ANR, Région Auvergne, and Fondation Partager le Savoir, France; DFG and AvH Foundation, Germany; Herakleitos, Thales and Aristeia programmes cofinanced by EU-ESF and the Greek NSRF; BSF, GIF, and Minerva, Israel; BRF, Norway; Generalitat de Catalunya, Generalitat Valenciana, Spain; the Royal Society and Leverhulme Trust, United Kingdom. The crucial computing support from all WLCG partners is acknowledged gratefully, in particular from CERN, the ATLAS Tier-1 facilities at TRIUMF (Canada), NDGF (Denmark, Norway, Sweden), CC-IN2P3 (France), KIT/GridKA (Germany), INFN-CNAF (Italy), NL-T1 (Netherlands), PIC (Spain), ASGC (Taiwan), RAL (UK), and BNL (USA), the Tier-2 facilities worldwide and large non-WLCG resource providers. Major contributors of computing resources are listed in Ref. [74]
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EPJC is an open-access journal funded by SCOAP3. y. We acknowledge the support of ANPCyT, Argentina; YerPhI, Armenia; ARC, Australia; BMWFW and FWF, Austria; ANAS, Azerbaijan; SSTC, Belarus; CNPq and FAPESP, Brazil; NSERC, NRC and CFI, Canada; CERN; CONICYT, Chile; CAS, MOST and NSFC, China; COLCIENCIAS, Colombia; MSMT CR, MPO CR and VSC CR, Czech Republic; DNRF and DNSRC, Denmark; IN2P3-CNRS, CEA-DSM/IRFU, France; GNSF, Georgia; BMBF, HGF, and MPG, Germany; GSRT, Greece; RGC, Hong Kong SAR, China; ISF, I-CORE and Benoziyo Center, Israel; INFN, Italy; MEXT and JSPS, Japan; CNRST, Morocco; FOM and NWO, Netherlands; RCN, Norway; MNiSW and NCN, Poland; FCT, Portugal; MNE/IFA, Romania; MES of Russia and NRC KI, Russian Federation; JINR; MESTD, Serbia; MSSR, Slovakia; ARRS and MIZŠ, Slovenia; DST/NRF, South Africa; MINECO, Spain; SRC and Wallenberg Foundation, Sweden; SERI, SNSF and Cantons of Bern and Geneva, Switzerland; MOST, Taiwan; TAEK, Turkey; STFC, United Kingdom; DOE and NSF, USA. In addition, individual groups and members have received support from BCKDF, the Canada Council, CANARIE, CRC, Compute Canada, FQRNT, and the Ontario Innovation Trust, Canada; EPLANET, ERC, FP7, Horizon 2020 and Marie Skłodowska-Curie Actions, European Union; Investissements d'Avenir Labex and Idex, ANR, Région Auvergne and Fondation Partager le Savoir, France; DFG and AvH Foundation, Germany; Herakleitos, Thales and Aristeia programmes co-financed by EU-ESF and the Greek NSRF; BSF, GIF and Minerva, Israel; BRF, Norway; Generalitat de Catalunya, Generalitat Valenciana, Spain; the Royal Society and Leverhulme Trust, UK. The crucial computing support from all WLCG partners is acknowledged gratefully, in particular from CERN, the ATLAS Tier-1 facilities at TRIUMF (Canada), NDGF (Denmark, Norway, Sweden), CCIN2P3 (France), KIT/GridKA (Germany), INFN-CNAF (Italy), NLT1 (Netherlands), PIC (Spain), ASGC (Taiwan), RAL (UK) and BNL (USA)
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