Remote clustering of pastures

This article discusses the problem of pasture clustering, where the objective is to separate the territory into groups with similar characteristics of vegetation cover and conditions of use. The authors propose to perform multi-time clustering of pastures using the k-means technique in SNAP software. The latter was applied to the remote sensing data of the Normalized Difference Vegetation Index (NDVI) for March-October 2023 based on the images obtained from the Sentinel-2 satellite group. The number of clusters that were discovered changed from three to five as a consequence of data processing. The authors decided to investigate the option with three clusters after comparing the collected data with the results of ground study. Planning resource management, vegetation assessment, yield forecasting, and controlling soil degradation can all be optimized with the help of clustering results. This important ecosystem can be managed and protected more effectively with the help of the suggested clustering technique, which divides the region into homogeneous pasture sections in a stable and informative manner. The suggested approach may be applied to different climate zones, and the authors intend to investigate this potential further in their future research

Seasonal changes in milk quality indicators jersey cows

The article presents the results of studies of milk quality indicators: the mass fraction of fat, the mass fraction of protein and the number of somatic cells in the Jersey breed in the Stavropol Territory in 2022-2023. In the autumn period, the indicators of the mass fraction of fat and protein were higher compared to other seasons and equal to 6.08% and 4.66%, respectively. The number of somatic cells was also increased in the autumn and spring periods of 140 and 146 thousand units/ml, respectively. A significant negative correlation of the mass fraction of protein and average daily productivity to the number of somatic cells r = -0.21 and -0.12 was established. And a significant positive correlation between the mass fraction of fat and the level of somatic cells r = 0.52

State and prospects of the linac of nuclear-physics complex with energy of electrons up to 100 MeV

The paper describes the results of the work on improvement of electron linac LUE-40. This linac has been designed for nuclear physics research in the electron energy range 40…100 MeV. The main purpose is to reduce the energy spread, emittance and long-term instability of the beam characteristics. For this purpose the system of klystron high voltage stabilization and the beam loading compensation system have been developed. The improved injector has been put into operation. A new DC power supply system of the magnetic spectrometer has been installed and tested.Приведено описание результатов работы по усовершенствованию линейного ускорителя ЛУЭ-40, предназначенного для проведения ядерно-физических исследований в диапазоне энергий электронов 40…100 МэВ. Основной целью работы является уменьшение энергетического разброса, эмиттанса и долговременной нестабильности характеристик пучка. Для этого установлен и введен в эксплуатацию более совершенный инжектор. Разработаны системы стабилизации высокого напряжения клистронов и схема компенсации энергетического разброса, вызываемого токовой нагрузкой секции. Разработана и испытана новая система питания магнитного спектрометра.Наведено опис результатів роботи з удосконалення лінійного прискорювача електронів ЛУЕ-40, призначеного для проведення ядерно-фізичних досліджень у діапазоні енергій електронів 40…100 МеВ. Основною метою роботи є зменшення енергетичного розкиду, еміттансу і довготривалої нестабільності характеристик пучка. Для цього встановлено та введено в експлуатацію більш досконалий інжектор. Розроблені системи стабілізації високої напруги клістронів і схема компенсації енергетичного розкиду, що спричиняється струмовим навантаженням секції. Розроблена і випробувана нова система живлення магнітного спектрометра

Remote clustering of pastures

This article discusses the problem of pasture clustering, where the objective is to separate the territory into groups with similar characteristics of vegetation cover and conditions of use. The authors propose to perform multi-time clustering of pastures using the k-means technique in SNAP software. The latter was applied to the remote sensing data of the Normalized Difference Vegetation Index (NDVI) for March-October 2023 based on the images obtained from the Sentinel-2 satellite group. The number of clusters that were discovered changed from three to five as a consequence of data processing. The authors decided to investigate the option with three clusters after comparing the collected data with the results of ground study. Planning resource management, vegetation assessment, yield forecasting, and controlling soil degradation can all be optimized with the help of clustering results. This important ecosystem can be managed and protected more effectively with the help of the suggested clustering technique, which divides the region into homogeneous pasture sections in a stable and informative manner. The suggested approach may be applied to different climate zones, and the authors intend to investigate this potential further in their future research

Seasonal changes in milk quality indicators jersey cows

The article presents the results of studies of milk quality indicators: the mass fraction of fat, the mass fraction of protein and the number of somatic cells in the Jersey breed in the Stavropol Territory in 2022-2023. In the autumn period, the indicators of the mass fraction of fat and protein were higher compared to other seasons and equal to 6.08% and 4.66%, respectively. The number of somatic cells was also increased in the autumn and spring periods of 140 and 146 thousand units/ml, respectively. A significant negative correlation of the mass fraction of protein and average daily productivity to the number of somatic cells r = -0.21 and -0.12 was established. And a significant positive correlation between the mass fraction of fat and the level of somatic cells r = 0.52

Cytokines and absence epilepsy

Cytokines are involved in various types of childhood epilepsies, although its role in absence epilepsy is not investigated. In two experiments the role of two cytokines, IL-1? and TNF-?, were investigated in a genetic model of absence epilepsy, the WAG/Rij rat. In the first experiment it was investigated whether cytokines may influence the expression of spike-wave discharges. In the second experiment, the levels of both cytokines were measured in brain and plasma of WAG/Rij and non-epileptic controls (ACI) at 2, 4 and 6 months in order to establish whether these cytokines are involved in the pathogenesis of absence epilepsy. Six months old freely moving WAG/Rij rats were injected i.p. with IL-1? (2?g/kg in 2 ml), TNF-? (2?g/kg in 2 ml) or a bovine salt solution and the EEG was recorded for 72 hrs. The hourly numbers of spike-wave discharges (SWD's) were determined, next behavior and body temperature were periodically monitored (Exp I). Naïve WAG/Rij and ACI rats of various ages were killed with an overdose of barbiturates, the blood was collected and the brains were quickly removed. Levels of cytokines were determined with ELISA methods (Exp II). IL-1? induced a large increase in the number of SWD in the 2-5 hours after its administration, TNF-? enhanced SWD's 6-18 hours after its administration. Both cytokines enhanced passive behavior, while body temperature was elevated only after TNF-?. There were no large differences between the two strains at any of the age groups (Exp II), however a significant strain by age effects was found for TNF- ? serum concentration. More specifically, at an age of two months non-epileptic rats had more than their age matched controls. It can be concluded that TNF- ? might protect rats during a stage that the first SWD start to appear. Moreover, increased levels of both cytokines affect the expression of SWD in WAG/Rij rats albeit with a different time constant. This suggests that the results found after TNF-? are due to the new synthesis IL-1?. If this is the case than it seems that only IL-1? affects the expression of SWD