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Record W3167697260

Wind speed in easily assembled premises with different design constructions for side curtains in winter

2021· article· en· W3167697260 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCyberLeninK (CyberLeninka) · 2021
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture and Biological Studies
Canadian institutionsnot available
Fundersnot available
KeywordsWind speedEnvironmental scienceDominance (genetics)Prevailing windsWind directionMeteorologyAtmospheric sciencesGeographyBiologyGeology
DOInot available

Abstract

fetched live from OpenAlex

This work aimed to identify the influence of the environment wind speed over similar indicators in easy-to-assemble premises of different configurations and insulation systems in the winter period. Air movement speed in the livestock room is also essential and affects animal and human bodies. At low temperatures in winter, a significant speed of air movement causes hypothermia in animals. High indoor wind speed can indicate the mistakes which had been made when choosing a farm location. The research was conducted in the central Forest-Steppe of Ukraine (Kyiv region) in three farms with free-stall housing of cows: option I – keeping in an easy-to-assemble room; option II – In an easy-to-assemble room with curtain insulation; option III – In an easy-to-assemble room on a deep straw litter within the period from December 1, 2019, to February 29, 2020. It has been established that the territory of the central part of Ukraine during the winter period of the year is characterized by the dominance of winds of the southern (South), south-eastern (South-East), and south-western (South-West) directions, which amount is more than 50% of average wind rose. The cold winds from the north and east constitute 31%. The average wind speed in winter is 9.8 m/s. The results of the research have shown that the use of insulation systems for side curtains can extend for 13 days the permissible norms of wind speed indoors and protect more effectively from the environment during all categories of wind speed, as well as reduce wind speed indoors by 11.68–21.74% compared to an easy-to-assemble box and deep litter. Keywords: dairy cows, cold weather, wind speed, easy-to-assemble premises   References   Ames, D.R., & Insley, L.W. (1975). Wind-chill effect for cattle and sheep. Journal of Animal Science, 40, 161–165. doi: 10.2527/jas1975.401161x. Angrecka, S., & Herbut, P. (2016). Impact of Barn Orientation on Insolation and Temperature of Stalls Surface. Annals of Animal Science, 16 (3), 887–896. doi: 10.1515/aoas-2015-0096. Angrecka, S., & Herbut, P. (2017). Eligibility of lying boxes at different THI levels in a freestall barn. Annals of Animal Science, 17, 257–269. doi: 10.1515/aoas-2016-0053. Bergen, R.D., Kennedy, A.D., & Christopherson, R.J. (2001). Effects of intermittent cold exposure varying in intensity on core body temperature and resting heat production of beef cattle. Canadian Journal of Animal Science, 81, 459–465. Bomko, V., Kropyvka, Yu., Bomko, L., Chernyuk, S., Kropyvka, S., & Gutyj, B. (2018). Effect of mixed ligand complexes of Zinc, Manganese, and Cobalt on the Manganese balance in high-yielding cows during first 100-days lactation. Ukrainian Journal of Ecology, 8(1), 420–425. doi: 10.15421/2018_230. Borshch, A.A., Ruban, S., Borshch, A.V., & Babenko, O.I. (2019). Effect of three bedding materials on the microclimate conditions, cows behavior and milk yield. Polish Journal of Natural Sciences, 34 (1), 19–31. Borshch, O.O., Borshch, O.V., Donchenko, T.A., Kosior, L.T., & Pirova, L.V. (2017). Influence of low temperatures on behavior, productivity and bioenergy parameters of dairy cows kept in cubicle stalls and deep litter system. Ukrainian Journal of Ecology, 7(3), 73–77. doi: 10.15421/2017_51. Borshch, O.O., Gutyj, B.V., Sobolev, O.I., Borshch, O.V., Ruban, S.Yu., Bilkevich, V.V., Dutka, V.R., Chernenko, O. M., Zhelavskyi, M. M., & Nahirniak, T. (2020). Adaptation strategy of different cow genotypes to the voluntary milking system. Ukrainian Journal of Ecology, 10(1), 145-150. doi: 10.15421/2020_23. Borshch, O.O., Ruban, S.Yu., Gutyj, B.V., Borshch, O.V., Sobolev, O.I., Kosior, L.T., Fedorchenko, M.M., Kirii, A.A., Pivtorak, Y.I., Salamakha, I.Yu., Hordiichuk, N.M., Hordiichuk, L.M., Kamratska, O.I., & Denkovich, B.S. (2020). Comfort and cow behavior during periods of intense precipitation. Ukrainian Journal of Ecology, 10(6), 98-102. doi: 10.15421/2020_265. Broucek, J., Letkovicova, M., & Kovalcuj, K. (1991). Estimation of cold stress effect on dairy cows. International Journal of Biometeorology, 35, 29–32. doi: 10.1007/BF01040960. Brown-Brandl, T.M., Eigenberg, R.A., Nienaber, J.A., & Hahn, J.L. (2005). Dynamic response indicators of heat stress in shaded and non-shaded feedlot cattle, part 1: analysis of indicators. Biosystems Engineering, 91(4), 451-462. doi: 10.1016/j.biosystemseng.2004.12.006. Grymak, Y., Skoromna, O., Stadnytska, O., Sobolev, O., Gutyj, B., Shalovylo, S., Hachak, Y., Grabovska, O., Bushueva, I., Denys, G., Hudyma, V., Pakholkiv, N., Jarochovich, I., Nahirniak, T., Pavliv, O., Farionik, ?., & Bratyuk, V. (2020). Influence of Thireomagnile and Thyrioton preparations on the antioxidant status of pregnant cows. Ukrainian Journal of Ecology, 10(1), 122-126.  doi: 10.15421/2020_19. Hempel, S., Menz, C., Pinto, S., Galan, E., Janke, D., Estelles, F., Muschner-Siemens, T., Wang, X., Heinicke, J., Zhang, G., Amon, B., Del Prado, A., & Amon, T. (2019). Heat stress risk in European dairy cattle husbandry under different climate change scenarios – uncertainties and potential impacts. Earth System Dynamics, 10, 859–884. doi: 10.5194/esd-10-859-2019. Herbut, P. (2013). Temperature, humidity and air movement variations inside a free-stall barn during heavy frost. Annals of Animal Science, 13(3), 587–596. doi: 10.2478/aoas-2013-0025. Hulsen, J. (2013). Cow signals a practical guide for Dairy Farm Management, UK/Ireland edition, 95 p. Kulyaba, O., Stybel, V., Gutyj, B., Turko, I., Peleno, R., Turko, Ya., Golovach, P., Vishchur, V., Prijma, O., Mazur, I., Dutka, V., Todoriuk, V., Golub, O. Dmytriv, O., & Oseredchuk, R. (2019). Effect of experimental fascioliasis on the protein synthesis function of cow liver. Ukrainian Journal of Ecology, 9(4), 612-615. Mazur, N.P., Fedorovych, V.V., Fedorovych, E.I., Fedorovych, O.V., Bodnar, P.V., Gutyj, B.V., Kuziv, M.I., Kuziv, N.M., Orikhivskyi, T.V., Grabovska, O.S., Denys, H.H., Stakhiv, N.P., Hudyma, V.Yu., & Pakholkiv, N.I. (2020). Effect of morphological and biochemical blood composition on milk yield in Simmental breed cows of different production types. Ukrainian Journal of Ecology, 10(2), 61-67.doi: 10.15421/2020_110. Pilatti, J.A., & Vieira, F.M. (2017). Environment, behavior and welfare aspects of dairy cows re­ared in compost bedded pack barns system. Journal of Animal Behavior and Biometeorology, 5, 97–105. doi: 10.14269/2318-1265/JABB.V5N3P97-105. Ruban, S., Borshch, O.O., Borshch, O.V., Orischuk, O., Balatskiy, Y., Fedorchenko, M., Kachan, A., & Zlochevskiy, M. (2020). The impact of high temperatures on respiration rate, breathing condition and productivity of dairy cows in different production systems. Animal Science Papers and Reports, 38(l), 61–72. Ruban, S.Yu., Borshch, O.V., & Borshch, O.O. (2017). Suchasni tekhnolohiyi vyrobnytstva moloka. (osoblyvosti ekspluatatsiyi, tekhnolohichni rishennya, eskizni proekty) [Modern milk production technologies. (peculiarities of operation, technological decisions, sketch designs)]. Kharkiv: STYLIZDAT (in Ukrainian).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.364
Threshold uncertainty score0.677

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.036
GPT teacher head0.233
Teacher spread0.197 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it