Declining Birth Rate

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Daniel Castrolacouture - One of the best experts on this subject based on the ideXlab platform.

  • optimal decision model for sustainable hospital building renovation a case study of a vacant school building converting into a community public hospital
    International Journal of Environmental Research and Public Health, 2016
    Co-Authors: Yikai Juan, Yu-ching Cheng, Yeng Horng Perng, Daniel Castrolacouture
    Abstract:

    Much attention has been paid to hospitals environments since modern pandemics have emerged. The building sector is considered to be the largest world energy consumer, so many global organizations are attempting to create a sustainable environment in building construction by reducing energy consumption. Therefore, maintaining high standards of hygiene while reducing energy consumption has become a major task for hospitals. This study develops a decision model based on genetic algorithms and A* graph search algorithms to evaluate existing hospital environmental conditions and to recommend an optimal scheme of sustainable renovation stRategies, considering trade-offs among minimal renovation cost, maximum quality improvement, and low environmental impact. Reusing vacant buildings is a global and sustainable trend. In Taiwan, for example, more and more school space will be unoccupied due to a rapidly Declining Birth Rate. Integrating medical care with local community elder-care efforts becomes important because of the aging population. This research introduces a model that converts a simulated vacant school building into a community public hospital renovation project in order to validate the solutions made by hospital managers and suggested by the system. The result reveals that the system performs well and its solutions are more successful than the actions undertaken by decision-makers. This system can improve traditional hospital building condition assessment while making it more effective and efficient.

Yikai Juan - One of the best experts on this subject based on the ideXlab platform.

  • optimal decision model for sustainable hospital building renovation a case study of a vacant school building converting into a community public hospital
    International Journal of Environmental Research and Public Health, 2016
    Co-Authors: Yikai Juan, Yu-ching Cheng, Yeng Horng Perng, Daniel Castrolacouture
    Abstract:

    Much attention has been paid to hospitals environments since modern pandemics have emerged. The building sector is considered to be the largest world energy consumer, so many global organizations are attempting to create a sustainable environment in building construction by reducing energy consumption. Therefore, maintaining high standards of hygiene while reducing energy consumption has become a major task for hospitals. This study develops a decision model based on genetic algorithms and A* graph search algorithms to evaluate existing hospital environmental conditions and to recommend an optimal scheme of sustainable renovation stRategies, considering trade-offs among minimal renovation cost, maximum quality improvement, and low environmental impact. Reusing vacant buildings is a global and sustainable trend. In Taiwan, for example, more and more school space will be unoccupied due to a rapidly Declining Birth Rate. Integrating medical care with local community elder-care efforts becomes important because of the aging population. This research introduces a model that converts a simulated vacant school building into a community public hospital renovation project in order to validate the solutions made by hospital managers and suggested by the system. The result reveals that the system performs well and its solutions are more successful than the actions undertaken by decision-makers. This system can improve traditional hospital building condition assessment while making it more effective and efficient.

Yeng Horng Perng - One of the best experts on this subject based on the ideXlab platform.

  • optimal decision model for sustainable hospital building renovation a case study of a vacant school building converting into a community public hospital
    International Journal of Environmental Research and Public Health, 2016
    Co-Authors: Yikai Juan, Yu-ching Cheng, Yeng Horng Perng, Daniel Castrolacouture
    Abstract:

    Much attention has been paid to hospitals environments since modern pandemics have emerged. The building sector is considered to be the largest world energy consumer, so many global organizations are attempting to create a sustainable environment in building construction by reducing energy consumption. Therefore, maintaining high standards of hygiene while reducing energy consumption has become a major task for hospitals. This study develops a decision model based on genetic algorithms and A* graph search algorithms to evaluate existing hospital environmental conditions and to recommend an optimal scheme of sustainable renovation stRategies, considering trade-offs among minimal renovation cost, maximum quality improvement, and low environmental impact. Reusing vacant buildings is a global and sustainable trend. In Taiwan, for example, more and more school space will be unoccupied due to a rapidly Declining Birth Rate. Integrating medical care with local community elder-care efforts becomes important because of the aging population. This research introduces a model that converts a simulated vacant school building into a community public hospital renovation project in order to validate the solutions made by hospital managers and suggested by the system. The result reveals that the system performs well and its solutions are more successful than the actions undertaken by decision-makers. This system can improve traditional hospital building condition assessment while making it more effective and efficient.

Yu-ching Cheng - One of the best experts on this subject based on the ideXlab platform.

  • optimal decision model for sustainable hospital building renovation a case study of a vacant school building converting into a community public hospital
    International Journal of Environmental Research and Public Health, 2016
    Co-Authors: Yikai Juan, Yu-ching Cheng, Yeng Horng Perng, Daniel Castrolacouture
    Abstract:

    Much attention has been paid to hospitals environments since modern pandemics have emerged. The building sector is considered to be the largest world energy consumer, so many global organizations are attempting to create a sustainable environment in building construction by reducing energy consumption. Therefore, maintaining high standards of hygiene while reducing energy consumption has become a major task for hospitals. This study develops a decision model based on genetic algorithms and A* graph search algorithms to evaluate existing hospital environmental conditions and to recommend an optimal scheme of sustainable renovation stRategies, considering trade-offs among minimal renovation cost, maximum quality improvement, and low environmental impact. Reusing vacant buildings is a global and sustainable trend. In Taiwan, for example, more and more school space will be unoccupied due to a rapidly Declining Birth Rate. Integrating medical care with local community elder-care efforts becomes important because of the aging population. This research introduces a model that converts a simulated vacant school building into a community public hospital renovation project in order to validate the solutions made by hospital managers and suggested by the system. The result reveals that the system performs well and its solutions are more successful than the actions undertaken by decision-makers. This system can improve traditional hospital building condition assessment while making it more effective and efficient.

Tomomi Yamaguchi - One of the best experts on this subject based on the ideXlab platform.

  • loser dogs and demon hags single women in japan and the Declining Birth Rate
    Social Science Research Network, 2006
    Co-Authors: Tomomi Yamaguchi
    Abstract:

    In 2004, the winner of the 'Vogue Word Award' in Japan was the neologism makeinu, which refers to single women in their 30s without children and means, literally, 'loser dogs'. The word was coined by freelance writer Sakai Junko in her best-selling book, Makeinu no Tiboe (Howl of the Loser Dogs). The book has so far sold 330,000 copies, highly unusual for a non-fiction book of this genre. The word makeinu quicldy gained national attention and is now widely used in the media and in everyday conversation. Regardless of Sakai's original intention, the word makeinu has spread and become part of the common parlance for deriding single women in their 30s for their failure to find marriage partners. Onibaba-ka suru Onna-tachi (Women who are Becoming Demon Hags), which has sold over 200,000 copies, is another best-seller with similar subject matter; i.e. the problems of women who are unmarried and childless. In the Preface, author Misago Chizuru, who is a professor of reproductive health at Tsuda College, explains that the old folk tale of the onibaba, in which a lonely demon hag attacks a lost boy at night, is actually a tale about unmarried, post-menopausal women who, because they did not assume their appropriate roles in society and did not have the chance to release their sexual and reproductive energies, end up sexually assaulting young men. She warns that the number of onibaba, which she broadens the meaning to include nasty old women, is increasing and attempts to explain how to avoid becoming one. Both Sakai's and Misago's books were highly controversial, widely covered in the media and extensively reviewed in journals and discussed on the Web. Behind the debates, on these books lies a major social issue in contemporary Japan: the country's low Birth Rate, which is associated with a low marriage Rate and high average age of marriage. Japan's fertility Rate is at the all-time low of 1.29 children per woman.1 The average age at first marriage is approaching 28 for women and among women in their late 30s-the core makeinu generation-13.8% were single in the year 2000.2