Academic literature on the topic 'Higher productivity and Baumol’s diseases service'

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Journal articles on the topic "Higher productivity and Baumol’s diseases service"

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Mischenko, V. A., A. V. Mischenko, R. V. Yashin, V. A. Yevgrafova, and T. B. Nikeshina. "Metabolic diseases in cattle." Veterinary Science Today, no. 3 (August 17, 2021): 184–89. http://dx.doi.org/10.29326/2304-196x-2021-3-38-184-189.

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The main trend in the development of dairy farming in the Russian Federation suggests maximising milk yield and reducing milk net cost. The economic effectiveness of industrial dairy farming is largely determined by adequate feeding, as well as effective system of measures to ensure animal health and prevent infectious and non-infectious mass diseases. The main reason for the premature retirement of highly productive cows is based on the factors typical of the intensive technologies used in dairy cattle breeding, which lead to the occurrence of metabolic diseases. It is established that the in
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Ramazanovich Feyzullayev, Feyzullah, Vadim Anatolyevich Babushkin1, Anatoly Vladimirovich, Anatoly Vladimirovich Bakai, and Tatiana Viktorovna Lepekhina. "Milk Productivity of Black-Motley Cows with Easy and Troubled Calvings." International Journal of Engineering & Technology 7, no. 4.38 (2018): 1115. http://dx.doi.org/10.14419/ijet.v7i4.38.27653.

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During its formation and improvement, cattle acquired a number of biological and economic-useful qualities, which allowed identifying separate groups of animals with high productivity and productive longevity. One of the main criteria for cow selection for further breeding is the quantity and quality of dairy products [4]. Profitability of dairy farming largely depends on both milk yield and the reproductive ability of cows. Troubled calving and subsequent diseases and complications affect the state of the animal organism; preservation and restoration of the health of a cow after troubled calv
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Marthias, Tiara, Kanya Anindya, Nawi Ng, et al. "Impact of non-communicable disease multimorbidity on health service use, catastrophic health expenditure and productivity loss in Indonesia: a population-based panel data analysis study." BMJ Open 11, no. 2 (2021): e041870. http://dx.doi.org/10.1136/bmjopen-2020-041870.

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ObjectivesTo examine non-communicable diseases (NCDs) multimorbidity level and its relation to households’ socioeconomic characteristics, health service use, catastrophic health expenditures and productivity loss.DesignThis study used panel data of the Indonesian Family Life Survey conducted in 2007 (Wave 4) and 2014 (Wave 5).SettingThe original sampling frame was based on 13 out of 27 provinces in 1993, representing 83% of the Indonesian population.ParticipantsWe included respondents aged 50 years and above in 2007, excluding those who did not participate in both Waves 4 and 5. The total numb
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Madasamy, Bhuvaneswari, Paramasivan Balasubramaniam, and Ritaban Dutta. "Microclimate-Based Pest and Disease Management through a Forewarning System for Sustainable Cotton Production." Agriculture 10, no. 12 (2020): 641. http://dx.doi.org/10.3390/agriculture10120641.

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Cotton is an essential commercial crop. Unfortunately, this crop is affected by many pests and diseases, which can cause considerable loss in yield. Climate has a strong correlation with the occurrence of pests and diseases in crops. Currently, weather forecasting services are available to the farmers, which help with weather-based planning of farm operations. Still, weather-based pest and disease forewarning services are not available to all the farmers. Unfortunately, cotton cultivation consumes about one-third of total pesticide consumption, which increases the cost of production apart from
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Kim, Hyun-Jin, Seung Hee Ho, Sol Lee, et al. "The Economic Burden of Brain Disability in Korea, 2008-2011." INQUIRY: The Journal of Health Care Organization, Provision, and Financing 57 (January 2020): 004695802093639. http://dx.doi.org/10.1177/0046958020936396.

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This study estimated the economic burden of people with brain disability in Korea during 2008-2011 using nationally representative data and was conducted to use the results as an evidence for determining the resources allocation of people with brain disability. We used a prevalence-based approach to estimate the economic burden, classified by direct costs (medical costs and nonmedical costs) and indirect costs (productivity loss of morbidity and premature death). Data from the National Health Insurance Service, the National Disability Registry, the National survey on persons with disabilities,
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Anshar, Muhammad, and Zulkifli Zulkifli. "Strategi Pengembangan Perdesaan Berbasis Tanaman Industri di Kabupaten Takalar, Provinsi Sulawesi Selatan." Journal of Regional and Rural Development Planning 3, no. 2 (2019): 95–104. http://dx.doi.org/10.29244/jp2wd.2019.3.2.95-104.

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This study aims to determine the level of development and strategies for rural development based on industrial plants. This study uses primary and secondary data in the form of village potential data, supporting facilities, population numbers, accessibility, service facilities, institutions, disasters, and infectious diseases. Rural development based on industrial plants in Takalar District is spread in most rural areas. Industry with leading commodity of sugar cane is expected to be the spearhead of village development. However, based on BPS data, there was a decrease in sugar cane productivi
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Li, Jixin, and Yuze Li. "Factors affecting utilization of healthcare services in Australia." Highlights in Science, Engineering and Technology 8 (August 17, 2022): 185–93. http://dx.doi.org/10.54097/hset.v8i.1126.

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The health care access rate can highly contribute to society’s living quality, and further influence the general labor productivity and economic growth of a country. However, the health expenditure per person in Australia is very high and not able to decrease immediately, which can gradually impact the proportion of people visiting health care services. Thus, it is important to reveal other important factors influencing health care utilization and seek solutions via the results. This study aimed to reveal the factors associated with the healthcare service utilization in Australia. We first hyp
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8

AMINOVA, A. L., I. F. YUMAGUZIN, N. G. FENCHENKO, N. I. KHAIRULLINA та D. H. SHAMSUTDINOV. "РЕПРОДУКТИВНЫЙ СТАТУС КОРОВ В ЗАВИСИМОСТИ ОТ ПРОДУКТИВНОСТИ И КОЛИЧЕСТВА ЛАКТАЦИЙ". Molochnoe i miasnoe skotovodstvo, № 6 (23 жовтня 2019): 29–31. http://dx.doi.org/10.33943/mms.2019.6.39674.

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Изучили репродуктивные функции коров в зависимости от молочной продуктивности и количества лактаций путем регулярных гинекологических обследований, а так же причины и характер нарушений. Установлено, что нарушения воспроизводительной функции коров увеличиваются с ростом молочной продуктивности, максимально осложняясь у 43 коров 6 и более лактаций, а продолжительность сервиспериода достигает 145 дней при средних значениях индекса осеменения 3,2. У коров по 1 и 2 лактации частота репродуктивных осложнений составляет в среднем 21. Анализ материалов исследований по состоянию репродуктивной активно
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Lodyanoy, M. S., and A. I. Erzutov. "Experience of using the drug «Selenopiran» to optimize indicators of reproduction of dairy cows." Veterinariya, Zootekhniya i Biotekhnologiya 1, no. 8 (2020): 33–37. http://dx.doi.org/10.36871/vet.zoo.bio.202008005.

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As a result of research and production experience in the economy of the Nizhny Novgorod region, the effect of three-time administration of the drug «Selenopiran» at a dose of 300 mg during the dry season on the ease of calving, milk productivity and reproductive functions of cows was studied. For this purpose, two groups of cows (n=10) were selected: an experimental group and a control group. Starting from the confirmation of 6-month pregnancy, 25% oil solution of the drug «Selenopiran» at a dose of 30 ml was administered three times at intervals of 5–6 days to animals of the experimental grou
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Alharbi, Mafawez T., and Mutiq M. Almutiq. "Prediction of Dental Implants Using Machine Learning Algorithms." Journal of Healthcare Engineering 2022 (June 20, 2022): 1–12. http://dx.doi.org/10.1155/2022/7307675.

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It has been claimed that artificial intelligence (AI) has transformative potential for the healthcare sector by enabling increased productivity and creative methods of delivering healthcare services. Recently, there has been a major shift to artificial intelligence by businesses, government, and private sectors in general and the health sector in particular. Many studies have proven that artificial intelligence is contributing greatly to the health sector by discovering diseases and determining the best treatments for patients. Dentistry requires new innovative methods that serve both the pati
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