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Journal articles on the topic 'NO production'

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Author: Grafiati

Published: 4 June 2021

Last updated: 20 February 2023

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1

Rebenko, V. I. "Technological basis for process control of production of poultry production." Naukovij žurnal «Tehnìka ta energetika» 11, no. 1 (January 30, 2020): 61–66. http://dx.doi.org/10.31548/machenergy2020.01.061.

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2

YUNIAWAN, Dani, and Teruaki ITO. "S141012 Simulation Study on Master Production Schedule for Meatball Production." Proceedings of Mechanical Engineering Congress, Japan 2012 (2012): _S141012–1—_S141012–5. http://dx.doi.org/10.1299/jsmemecj.2012._s141012-1.

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3

Šprysl, M., J. Čítek, and R. Stupka. "Interaction of selected production indicators of the economics of pork production." Czech Journal of Animal Science 55, No. 1 (January 25, 2010): 1–10. http://dx.doi.org/10.17221/1705-cjas.

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Estimates of the effects influencing the economics of pig production are of primary importance for breeders. For this purpose, costs, revenues and profitability were determined on the basis of individual parameters of the efficiency of tested pigs and of average commodity prices. The calculation was the result of the efficiency of actual animals and of the average and simulated prices of inputs received by producers in large-scale production operations. 136 animals, 64 of crossbred combinations (LWs × D) × (LW<sub>D</sub> × L) and 72 of PN × (LW<sub>D</sub> × L) were used. The total cost of 1 pig represented the costs per weaned piglet, feed and other costs; the revenues represented the actual price of a pig at slaughter. Multivariable hierarchical models were constructed to assess the relationships between the following factors: crossbred combination, nutrition and sex, ADG, number of piglets bred, CFM price and carcass price with the outcome variables: costs, revenues and profitability. The results demonstrated that the total cost of fattening pig is considerably influenced by the price of a piglet and feed, not by the price of the carcass and the growth intensity. There was no proof of a relationship between the price of a pig and reproduction and/or the price of feed. Profitability is significantly influenced by the reproduction rate, price of feed, growth intensity and revenues. The results also showed that the intensity of nutrition and the sex considerably influence the total cost of 1 fattened pig, which represents an increase in the total cost by 3.80 € in the application of <I>ad libitum</I> feeding techniques, and 5.39 €/pc in the fattening of barrows. The choice of a suitable combination represents a decrease in the total cost by 1.49% and an increase in revenues by 2.93%. Profitability is significantly associated with the intensity of nutrition, sex and breed. With unrestricted feeding it is reduced by 4.1%, for barrows by 6.6%, and in the use of four-breed combinations of crossbreds it increases by 4.13%.

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4

Tvrdoň, J. "Conception of the model of agriculture with production and non-production function." Agricultural Economics (Zemědělská ekonomika) 49, No. 5 (March 1, 2012): 208–12. http://dx.doi.org/10.17221/5392-agricecon.

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The article deals with an optimisation of the relation between production and non-production functions of agriculture. In the model, a two-product production process is presupposed, the result of which is agricultural production and a complex of other effects arising in agriculture. To obtain them, two aggregated inputs – capital and labour – are used. To maximise the summary economic result, the procedure of derivation of the optimal extent of both production processes proceeding as well as non-production effects in minimisation of both inputs in their summary is worked out in the article. In the article, the knowledge of the research gained in framework of solution of the institutional research intention MSM: 411100013 “Efficient integration of the Czech agrarian sector into the frame of the European structures – presumption of sustainable development” is included.

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5

Altuner, Elif Esra. "Production of Nano Creams." Karaelmas Science and Engineering Journal 4, no. 1 (March 20, 2014): 52–57. http://dx.doi.org/10.7212/zkufbd.v4i1.118.

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6

Vaněček, D., and D. Kaláb. "Logistics in agricultural production." Agricultural Economics (Zemědělská ekonomika) 49, No. 9 (March 2, 2012): 439–43. http://dx.doi.org/10.17221/5429-agricecon.

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In spite that the great importance of logistics in industry, business and other branches is generally acknowledged, this problem is not systematically investigated in agriculture. As a presumption of a detailed analysis, the knowledge of the volume and structure of the material flow is necessary. The authors have proposed their own methodological procedure which issues from technological indicators, published by the Ministry of Agriculture CR for individual plants and categories of animals and which makes possible a further classification of these data for enterprises with different level of farming. These published standards of the Ministry serve as basic stones and by means of their combination, the volume of material flow and its structure during one year periods is possible to calculate. The advantage of the proposed method is a fast finding out of necessary data and possibility of taking into account some specific conditions of the investigated enterprises.

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7

Mezhybrotskyi, Vasyl, Volodymyr Starchevskyi, and Liliya Oliynyk. "Methods of Dithiodimorpholine Production." Chemistry & Chemical Technology 7, no. 2 (June 10, 2013): 213–16. http://dx.doi.org/10.23939/chcht07.02.213.

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8

Dr P.Arun, Dr P. Arun, and Dr S. Mahalingam Dr S. Mahalingam. "Food Production in India." International Journal of Scientific Research 3, no. 6 (June 1, 2012): 104–5. http://dx.doi.org/10.15373/22778179/june2014/38.

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9

Tashakori, Laleh, and Abouzar Arabsorkhi. "A Survey on Marketing Characteristics and Production System Strategies-Case Study: Cans Production." International Journal of Engineering Research 4, no. 9 (September 1, 2015): 510–17. http://dx.doi.org/10.17950/ijer/v4s9/908.

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10

Chen, Miao-Sheng, and Fu-Chien Tsai. "THE OPTIMAL PRODUCTION PLAN UNDER LIMITED PRODUCTION CAPACITY AT ANY POINT IN TIME." Journal of the Operations Research Society of Japan 51, no. 1 (2008): 81–94. http://dx.doi.org/10.15807/jorsj.51.81.

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11

He, Xin-Feng, Su Wu, and Quan-Lin Li. "Production variability of production lines." International Journal of Production Economics 107, no. 1 (May 2007): 78–87. http://dx.doi.org/10.1016/j.ijpe.2006.05.014.

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12

Letarte, Yvon, Hans J. Hansen, Morten Søndergaard, and Bernadette Pinel-Alloul. "Production and abundance of different bacterial sizeclasses: relationships with primary production and chlorophyll concentration." Archiv für Hydrobiologie 126, no. 1 (November 12, 1992): 15–26. http://dx.doi.org/10.1127/archiv-hydrobiol/126/1992/15.

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13

PRACHE, S., and M. THERIEZ. "Production d’agneaux à l’herbe." INRAE Productions Animales 1, no. 1 (December 10, 1988): 25–33. http://dx.doi.org/10.20870/productions-animales.1988.1.1.4432.

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La production à l’herbe concerne environ 60 % des agneaux en France ; elle est difficile à bien maîtriser, et les résultats techniques sont très variables entre exploitations. Nous avons présenté les facteurs qui permettent de réussir ce type d’agneau. Nous avons rappelé ceux qui conditionnent l’ingestion de l’animal au pâturage, puis ceux qui permettent d’optimiser la conduite du troupeau et la valorisation de l’herbe au cours des différentes phases de la production. Jusqu’à l’âge de 8-10 semaines, la quantité d’énergie ingérée par l’agneau provient surtout du lait qu’il consomme, et il ne peut compenser que très partiellement un faible apport de lait. L’agneau doit être sevré d’autant plus jeune que sa croissance est faible sous la mère ; l’âge minimum à respecter est de 6 semaines si l’agneau est engraissé en bergerie et de 8 semaines s’il est engraissé à l’herbe, à condition qu’il pèse alors le triple de son poids à la naissance. Le choix du mode de finition après sevrage dépend de la quantité et de la qualité d’herbe disponible à cette époque, et aussi du type d’agneau. L’apport de concentré au pâturage est surtout efficace pour de faibles disponibilités en herbe, et doit d’abord être réservé aux agneaux qui reçoivent peu de lait. La maîtrise du parasitisme est un élément clé de la réussite de cette production.

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14

Freyssenet, Michel. "'Reflective Production': An Alternative to Mass Production and Lean Production?" Economic and Industrial Democracy 19, no. 1 (February 1998): 91–117. http://dx.doi.org/10.1177/0143831x98191005.

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15

Mishra, Prabhat Kumar, and Firoz Naem Khan. "Biomass Production of Paecilomyces Vairoti." Indian Journal of Applied Research 4, no. 4 (October 1, 2011): 497–99. http://dx.doi.org/10.15373/2249555x/apr2014/157.

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16

Koščak Kolin, Sonja. "BOOK REVIEW "PETROLEUM PRODUCTION ENGINEERING"." Rudarsko-geološko-naftni zbornik 31, no. 1 (September 1, 2016): 87–88. http://dx.doi.org/10.17794/rgn.2016.3.7.

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17

ZF, Fawzy. "Compost Production for Soil Nutrition." Open Access Journal of Waste Management & Xenobiotics 5, no. 2 (August 5, 2022): 1–5. http://dx.doi.org/10.23880/oajwx-16000173.

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One of the biggest problems fans face is maintaining soil fertility. The constant use of chemical fertilizers is also harmful. Therefore, a supplemental dose of compost is necessary to improve soil fertility. Organic fertilizers like compost make better use of all farm and animal waste and convert nutrients into an easily available form, increasing soil fertility. Compost is the product of an aerobic process during which microorganisms break down organic matter into a stable amendment to improve soil quality and fertility. During the composting process, microorganisms use organic matter as a food source, and produce heat, carbon dioxide, water vapor and humus as a result of their vigorous growth and activity. When applied to and mixed in soil, humus can promote good soil structure, improve water and nutrient holding capacity, and help control erosion. Humus makes up approximately 60 per cent of the final compost.

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18

BENEA, Bogdan Cornel. "BIODIESEL PRODUCTION USING SOLAR ENERGY." SCIENTIFIC RESEARCH AND EDUCATION IN THE AIR FORCE 19, no. 1 (July 31, 2017): 253–56. http://dx.doi.org/10.19062/2247-3173.2017.19.1.28.

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19

Faqir, Yahya, Jiahua Ma, and Yunlong Chai. "Chitosan in modern agriculture production." Plant, Soil and Environment 67, No. 12 (December 10, 2021): 679–99. http://dx.doi.org/10.17221/332/2021-pse.

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In the perspective of return to nature, using scientific and technical progress for improved living standards, people began to search for solutions to alleviate environmental pollution. Researchers intend to make clean, affordable products that are gentle yet effective. Chitosan derived from the exoskeleton of crustaceans, cuticles of insects, cell walls of fungi, and some algae are renowned for many decades to exhibit biotic properties, especially anti-microbial characteristics. Here we review each ingredient for sourcing organic chitosan, with clean raw materials that can make pure, rich, and powerful products working naturally. Our study elaborates advances and utilisation of chitosan for industrial control-release fertilisers by physical, chemical, and multifaceted formulations such as water-retaining super absorbent, polyacrylic acid, and resins. Plant growth-promoting properties of chitosan as a growth regulator, pest/disease resistance, signalling regulation, effect on nuclear deformation, and apoptosis. Chitosan can improve the plant defence mechanism by stimulating photochemistry and enzymes related to photosynthesis. Furthermore, electrophysiological modification induced by chitosan can practically enable it to be utilised as a herbicide. Chitosan has an excellent role in improving soil fertility and plant growth as well as plant growth promoters. It is concluded, chitosan can play a key role in modern agriculture production and could be a valuable source promoting agricultural ecosystem sustainability. Future suggestions will be based on current achievements and also notable gaps. In addition, chitosan has a huge contribution to reducing fertilisers pollution, managing agricultural pests and pathogens in modern-day agriculture.

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20

Bozkurt, İbrahim, and M. Veysel Kaya. "Agricultural production index: International comparison." Agricultural Economics (Zemědělská ekonomika) 67, No. 6 (June 25, 2021): 236–45. http://dx.doi.org/10.17221/29/2021-agricecon.

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This paper investigates the influences of macroeconomic policies on agricultural production and other factors affecting it, based on panel data in a global sample for the period 2010–2017. Because spatial interactions in the agricultural production levels of countries are determined, spatial panel models are employed in the analyses. According to the analysis results, countries' financial, fiscal and monetary policies have an important effect on agricultural production. Besides, other important determinants of agricultural production are climatic conditions, land use and modern input use in agriculture. Our findings have important implications, especially for countries with low agricultural production.

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21

Karthika, S., and M. Kannahi. "Biodiesel Production from Oleaginous Yeast." International Journal of Trend in Scientific Research and Development Volume-1, Issue-6 (October 31, 2017): 1096–106. http://dx.doi.org/10.31142/ijtsrd4691.

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22

Putri, Dewi Artanti, Roy R. Saputro, and B. Budiyono. "Biogas Production from Cow Manure." International Journal of Renewable Energy Development 1, no. 2 (July 9, 2012): 61–64. http://dx.doi.org/10.14710/ijred.1.2.61-64.

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The production of biogas from livestock waste manure in particular is one of the alternative utilization of organic wastes that can be implemented in Indonesia since there is a huge potential of bio-energy in Indonesia. This study utilizes cow manure as the raw material for making biogas and it is coupled with a cow rumen fluid and water. The objective of this study is to determine the effect of manure, rumen, and water composition in biogas production. The research was conducted in anaerobic for 60 days. The composition of manure, water, and the rumen were vary following the variable and ratio; variable A (manure and water); variable B (manure and rumen). The results indicate that the variable A (manure and water) with a 1:3 ratio, and the variable B (manure and rumen) with a 1:2 ratio produced the highest volume of biogas compared to other ratios. The highest biogas production occurred on average at day 23.

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23

Rajendrakumar, Shiny, V. K. Parvati, and Anandhalakshmy Ram. "Automation of Production Management System." Bonfring International Journal of Software Engineering and Soft Computing 6, special issue (October 31, 2016): 234–38. http://dx.doi.org/10.9756/bijsesc.8285.

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24

Sathyaprakasan, Parvathy, and Geetha Kannan. "Economics of Bio-Hydrogen Production." International Journal of Environmental Science and Development 6, no. 4 (2015): 352–56. http://dx.doi.org/10.7763/ijesd.2015.v6.617.

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25

Petráš, R., J. Mecko, and V. Nociar. "Value production of poplar clones." Journal of Forest Science 54, No. 6 (July 7, 2008): 237–44. http://dx.doi.org/10.17221/12/2008-jfs.

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The results of research on the value production of the stands of poplar clones Robusta and I-214 carried out in Slovakia are presented. Models of value yield tables were constructed separately for each clone. The models simulate gross and net financial yield of wood production in dependence on the site index and age of stand. They were constructed on the basis of the models of assortment yield tables, timber prices according to assortments and the models of own costs of timber felling and processing. The clone I-214 produces a faster and higher proportion of thicker assortments of average and below-average quality, and therefore it has the higher value production at a younger age only. Robusta produces smaller diameter but higher quality assortments and has the higher value production only at an older age. The site index of the stand is the most important factor in the value production of poplar clones. Differences in the production between site indexes are much greater than between the clones.

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26

Aziz, Kasim O. "Cashmere Production from Maraz Goats." Journal of Zankoy Sulaimani - Part A 12, no. 1 (November 5, 2008): 13–21. http://dx.doi.org/10.17656/jzs.10191.

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27

Nagai, Hidetoshi, and Takahito Kuno. "A SIMPLICIAL BRANCH-AND-BOUND ALGORITHM FOR PRODUCTION-TRANSPORTATION PROBLEMS WITH INSEPARABLE CONCAVE PRODUCTION COST." Journal of the Operations Research Society of Japan 48, no. 2 (2005): 97–110. http://dx.doi.org/10.15807/jorsj.48.97.

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28

Meilany, Diah, Dewinka Anugeraheni, Abdul Aziz, Made Tri Ari Penia Kresnowati, and Tjandra Setiadi. "The Effects of Operational Conditions in Scaling Up of Xylanase Enzyme Production for Xylitol Production." Reaktor 20, no. 1 (March 13, 2020): 32–37. http://dx.doi.org/10.14710/reaktor.20.1.32-37.

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The biological route to produce xylitol from Oil Palm Empty Fruit Bunches (EFBs) comprises of EFBs pretreatment, enzymatic hydrolysis, fermentation, and downstream separation of the produced xylitol. Due to the specificity in the hemicellulose composition of EFBs, a xylanase enzyme that has a high affinity to EFBs is required to hydrolyze the EFBs into xylose. In this research, the influences of aeration, humidity, and mixing in xylanase production were mapped. The xylanase production was performed by Aspergillus fumigatus ITBCCL170 in a solid-state fermentation using a tray fermenter with EFBs as the substrate. The optimal configuration was further scaled up into xylanase production using 1000 g of EFBs as the substrate. The results showed that the highest enzyme activity was 236.3 U/g EFB, obtained from the use of humid air airflow of 0.1 LPM, and mixing was performed once a day. The scaling up resulted in a lower xylanase activity and call for a better design of the fermenter.Keywords: aeration, humidity, mixing, OPEFBs, tray fermenter, xylanase, xylitol

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29

Rosenfeld, Jordan S., and J. J. Hudson. "Primary production, bacterial production, and invertebrate biomass in pools and riffles in southern Ontario streams." Archiv für Hydrobiologie 139, no. 3 (June 6, 1997): 301–16. http://dx.doi.org/10.1127/archiv-hydrobiol/139/1997/301.

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30

Ross, Andrew. "Production." Social Text 27, no. 3 (2009): 199–202. http://dx.doi.org/10.1215/01642472-2009-038.

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31

Weber, Alfred, Christian Ebert, Sotirios Arambatzis, Kerstin Hettich, Dirk Bönisch, and Thomas Heptner. "PRODUCTION." ATZextra worldwide 15, no. 11 (January 2010): 258–64. http://dx.doi.org/10.1365/s40111-010-0271-2.

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32

Ruskowski, Martin, Arnold Herget, Jesko Hermann, William Motsch, Parsha Pahlevannejad, Aleksandr Sidorenko, Simon Bergweiler, et al. "Production Bots für Production Level 4." atp magazin 62, no. 9 (September 17, 2020): 62–71. http://dx.doi.org/10.17560/atp.v62i9.2505.

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Nach nunmehr zehn Jahren Industrie 4.0 ist es an der Zeit, zurückzuschauen und die seinerzeitige Erwartungshaltung zu reflektieren, die von der Vision einer Produktion auf Basis autonomer Produktionseinheiten sprach. In der industriellen Praxis stellen wir jedoch fest, dass bei aller Digitalisierung von Maschinen an der eigentlichen Struktur der Produktionssteuerung bis heute nicht gerüttelt und die ursprüngliche Vision autonomer Produktionsmodule noch nicht umgesetzt wurde. Die Technologie-Initiative SmartFactory KL e.V. hat deshalb mit ihrem Leitbild Production Level 4 eine Vision für die nächsten Jahre erarbeitet, um wieder auf die ursprünglichen Ziele zu fokussieren. Zu deren Umsetzung entstand gemeinsam mit den Mitgliedsunternehmen ein neuer, modular erweiterbarer Demonstrator, der den Weg in eine europaweite Vernetzung von autonomen Produktionsanlagen im geplanten GAIA-X Verbund aufzeigt. Die fähigkeitsbasierte Kapselung von Produktionsschritten durch eine Bot-basierte Steuerungsstruktrur ist dabei ein Kernmerkmal der neuen Architektur.

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33

Prosvirina, N. V., A. I. Tikhonov, and H. I. Okagbue. "Lean Production Principles in Production Management." Russian Engineering Research 41, no. 12 (December 2021): 1263–68. http://dx.doi.org/10.3103/s1068798x21120352.

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34

Lin, Der-Chen, and Jing-Shing Yao. "Fuzzy economic production for production inventory." Fuzzy Sets and Systems 111, no. 3 (May 2000): 465–95. http://dx.doi.org/10.1016/s0165-0114(98)00037-2.

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35

Glavan, Miha, Dejan Gradišar, Stanko Strmčnik, and Gašper Mušič. "Production modelling for holistic production control." Simulation Modelling Practice and Theory 30 (January 2013): 1–20. http://dx.doi.org/10.1016/j.simpat.2012.07.010.

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36

Quick, Paddy. "Modes of Production and Household Production." Review of Radical Political Economics 48, no. 4 (October 11, 2016): 603–9. http://dx.doi.org/10.1177/0486613416655455.

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This paper consists of a brief presentation of modes of production in class societies, highlighting the significance of household production in these. This is followed by a new approach to the conceptualization of the (non-class) communist mode of production and the place of household production in such a society.

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37

MALLARD, J., and J. C. MOCQUOT. "Insémination artificielle et production laitière bovine : répercussions d’une biotechnologie sur une filière de production." INRAE Productions Animales 11, no. 1 (February 2, 1998): 33–39. http://dx.doi.org/10.20870/productions-animales.1998.11.1.3914.

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L’insémination artificielle à partir du sperme congelé de taureau est une des plus anciennes biotechnologies, apparue dans les années 40. Elle a induit des modifications profondes dans les pratiques et les structures de la filière bovine laitière. L’article en fait un recensement, en allant des plus immédiates aux plus indirectes. Elles vont de la création de marges liées à la disparition des taureaux de l’exploitation jusqu’à l’intégration de l’éleveur dans un réseau de relations professionnelles. Il devient ainsi un acteur et le bénéficiaire d’une sélection collective particulièrement efficace. Mais ce canal ouvre au-delà la voie à la pénétration du progrès technique et à la prise en charge des intérêts collectifs. On essaie de démontrer que ce ne sont pas forcément les conséquences les plus directes qui ont été les plus importantes, concluant qu’il est sans doute bien difficile de prévoir l’impact de biotechnologies récentes.

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38

Meiramkulova, K. S. "Analysis of the current state of production activity of the "Izhevsky" production cooperative of Akmola region." BULLETIN OF THE KARAGANDA UNIVERSITY. ECONOMY SERIES 100, no. 4 (December 30, 2020): 93–103. http://dx.doi.org/10.31489/2020ec4/93-103.

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39

MADEC, F., C. FOURICHON, P. MORVAN, and A. LABBE. "Economie et santé en production porcine." INRAE Productions Animales 5, no. 2 (May 29, 1992): 149–61. http://dx.doi.org/10.20870/productions-animales.1992.5.2.4229.

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Le rôle de la pathologie sur les coûts de production et le revenu des éleveurs est largement évoqué dans la littérature vétérinaire. La plupart des auteurs s’accordent sur cette relation mais les avis sont nettement plus divergents en ce qui concerne l’estimation de l’impact en termes financiers. A l’échelle d’un élevage, lorsqu’il s’agit de maladies bien définies et intervenant sur une période bien délimitée les calculs sont facilités. Il s’agit essentiellement de maladies aigües entraînant une augmentation de la mortalité. Dans le cas de troubles chroniques, les calculs sont plus difficiles. Il y a lieu de prendre en compte des indicateurs de santé appropriés et objectifs. Différentes voies d’approche du coût des maladies du porc sont explorées et des exemples sont présentés. L’attention est attirée sur l’intérêt de l’analyse économique et sur l’intégration de paramètres sanitaires dans la gestion des élevages.

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40

Lee, Jong-Tak, and Hoon-Sung Kwak. "On Production System by One-Person Production System in Broadcasting Program Production." Journal of the Korea Contents Association 7, no. 8 (August 28, 2007): 117–24. http://dx.doi.org/10.5392/jkca.2007.7.8.117.

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41

Carlson, W. B. "World Oil Production Via Hubbert Linearization of Production and Normalizations of Production." Energy Sources, Part B: Economics, Planning, and Policy 7, no. 2 (January 2012): 162–68. http://dx.doi.org/10.1080/15567249.2011.603021.

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42

Moustafa, Dr Ahmad. "Production of top quality soybean oil." Grasas y Aceites 46, no. 6 (December 30, 1995): 376–82. http://dx.doi.org/10.3989/gya.1995.v46.i6.954.

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43

Al-Shawi, Sarmad Ghazi, Wael Ali Swadi, and Alaa Abdul Hussein. "Production of Probiotic (Turshi) Pickled Vegetables." Journal of Pure and Applied Microbiology 13, no. 4 (December 30, 2019): 2287–93. http://dx.doi.org/10.22207/jpam.13.4.43.

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44

S, Kilroy. "Integrated Salmonella control in Turkey Production." Journal of Clinical Research and Reports 07, no. 02 (March 22, 2021): 01–06. http://dx.doi.org/10.31579/2690-1919/145.

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In recent years, an increase of fattening turkey flocks positive for Salmonella spp. was noted in the European Union. Considering these latest trends, there is a high need to increase knowledge on specific risk factors for fattening turkey flocks in conjunction with successful control measures to combat Salmonella infections on farm. Here, we report a commercial turkey fattening farm that was found positive for Salmonella enterica serovar Typhimurium for two consecutive batches. By means of the Food Safety Program, a risk assessment developed by Elanco (Antwerpen, Belgium) and a farm walk, a Food Safety Index was generated, highlighting specific risk factors. Consequently, an action plan was set up, leading to a favorable increase in the Food Safety Index from 45% to 67%. Among others, vaccinating fattening turkeys was an important control measure. Monitoring of the Salmonella status of the batches was performed by sampling paper coming from the transport boxes at day of arrival and boot sock samples at the age of 14 weeks. Finally neck skin samples were taken at the slaughterhouse. Uptake of the vaccine was evaluated by sampling of the caeca and taking cloacal swabs 24 hours after first and second vaccination, respectively. Results coming from the analysis of the caeca indicate that vaccination at day one was efficient. Analysis of the cloacal swabs taken after second vaccination was inconclusive. Cooperatively, these actions improved the overall biosecurity of the farm as shown by the negative Salmonella stat us of the boot sock and neck skin samples in the third batch.

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Iliukhin, Aleksey Nikolaevich, and Lenar Ajratovich Galiullin. "Clusters in the Production of ICE." Journal of Advanced Research in Dynamical and Control Systems 11, no. 12-SPECIAL ISSUE (December 31, 2019): 1371–75. http://dx.doi.org/10.5373/jardcs/v11sp12/20193356.

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R. Fischer, Yuri, Ivan V. de Melo, Luiz Carlos S. Silva, and Victor A. Wanderley. "Cleaner Production in a Steel Industry." Modern Environmental Science and Engineering 1, no. 6 (February 2016): 341–47. http://dx.doi.org/10.15341/mese(2333-2581)/06.01.2015/008.

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Ciolkosz, D. "Torrefied biomass in biofuel production system." Scientific Horizons 93, no. 8 (2020): 9–12. http://dx.doi.org/10.33249/2663-2144-2020-93-8-9-12.

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Ukraine produces large amounts of crop residues every year, much which could be utilized to produce biofuel. However, efficient supply chains and system configurations are needed to make such systems efficient and cost effective. One option is to integrate torrefaction, power production and biofuel production into a single, coordinated system. This approach allows for high value product (i.e. biofuel), greater utilization of the energy content of the feedstock, and supply chain efficiency. Initial analyses indicate that revenues can be enhanced through this approach, and further analyses and optimization efforts could identify a sustainable approach to renewable fuel and power production for Ukraine. The question of scale and layout remains of interest as well, and a thorough logistical study is needed to identify the most suitable configuration. Agricultural operations often benefit from smaller scales of operation, whereas fuel production processes tend to operate profitably only at very large scale. Thus, a balance must be struck between the needs of both ends of the supply chain. The processing center concept helps to balance those needs. A system such as this also has potential to synergize with other agricultural production systems, such as the production of animal feed, fertilizer, and other bio-based products. The complexities of the Ukrainian agricultural market will need to be reflected carefully in any model that seeks to assess the system's potential. Presents a concept for coupling thermal pretreatment (torrefaction with biofuel and power production for the transformation of wheat straw into a value added product for Ukraine. Torrefaction provides supply chain savings, while conversion provides added value to the product. This paradigm has potential to utilize a widely produced waste material into a valuable source of energy and possibly other products for the country.

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Sahan, Melek. "Three dimensional perception and production process." New Trends and Issues Proceedings on Humanities and Social Sciences 2, no. 1 (February 19, 2016): 61–67. http://dx.doi.org/10.18844/gjhss.v2i1.278.

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Hemavathy, A. Thanga. "Seed production technologies in small milltes." Journal of Animal Feed Science and Technology 4, no. 2 (2016): 57–60. http://dx.doi.org/10.21088/jafst.2321.1628.4216.4.

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Dykiel, Magdalena, Bernadetta Bienia, Barbara Krochmal-Marczak, and Jolanta Baran. "PRODUCTION OF SELECTED PACKAGING IN POLAND." Academic Review 1, no. 56 (June 2022): 84–91. http://dx.doi.org/10.32342/2074-5354-2022-1-56-9.

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This paper discusses the latest data on the production of selected paper and paperboard, plastic, glass, wood and metal packaging. During the study period 2016-2020/2021, there was an increase in the production of selected paper and paperboard packaging compared to 2016. There has been an increase in the production of paper sacks and bags, cartons made of paper or paperboard other than corrugated and cartons made of paper or paperboard. Among plastic packaging, the production of plastic bags and sacks played a significant role and has been growing steadily since 2016. The production of glass packaging (clear glass bottles with a capacity of less than 2.5 liters for beverages and food) increased between 2016 and 2021. Flat pallets were the dominant product among wood packaging in 2020. The decline in box pallet production was significant not only relative to 2019, but also relative to 2016. In the group of metal packaging with a capacity not exceeding 300 liters, the highest production was recorded for barrels and similar containers for any material (excluding gas), made of aluminium. It reached 93228 tonnes in 2020 and was 2.4% higher than in 2019. The packaging market in Poland and worldwide has been gradually increasing its value over the past years. The production of packaging in Poland in the coming years should grow dynamically, although not as fast as before. Undoubtedly, today the biggest challenge for the packaging industry is the rising prices of raw materials, which can negatively affect the profitability and liquidity situation of manufacturers. In particular, the prices of plastics have gone up considerably, but the costs of pulp, metals, wood and glass are also increasing, so the raw material pressure is now affecting the entire packaging industry.

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