108 research outputs found
A new life for sterile neutrino dark matter after the pandemic
We propose a novel mechanism to generate sterile neutrinos in theearly Universe, by converting ordinary neutrinos in scatteringprocesses . After initial production byoscillations, this leads to an exponential growth in the abundance. Weshow that such a production regime naturally occurs for self-interacting, and that this opens up significant new parameter space where make up all of the observed dark matter. Our results provide strong motivationto further push the sensitivity of X-ray line searches, and to improve onconstraints from structure formation.<br
A new life for sterile neutrino dark matter after the pandemic
We propose a novel mechanism to generate sterile neutrinos in the early Universe, by converting ordinary neutrinos in scattering processes . After initial production by oscillations, this leads to an exponential growth in the abundance. We show that such a production regime naturally occurs for self-interacting , and that this opens up significant new parameter space where make up all of the observed dark matter. Our results provide strong motivation to further push the sensitivity of X-ray line searches, and to improve on constraints from structure formation
A new life for sterile neutrino dark matter after the pandemic
We propose a novel mechanism to generate sterile neutrinos in theearly Universe, by converting ordinary neutrinos in scatteringprocesses . After initial production byoscillations, this leads to an exponential growth in the abundance. Weshow that such a production regime naturally occurs for self-interacting, and that this opens up significant new parameter space where make up all of the observed dark matter. Our results provide strong motivationto further push the sensitivity of X-ray line searches, and to improve onconstraints from structure formation.<br
ΠΠ±ΡΠ΅ΠΌΠ½Π°Ρ ΠΊΠ°ΠΏΠ½ΠΎΠ³ΡΠ°ΡΠΈΡ ΠΊΠ°ΠΊ ΡΠΏΠΎΡΠΎΠ± ΠΎΡΠ΅Π½ΠΊΠΈ ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΡΡΠΈ Π°Π»ΡΠ²Π΅ΠΎΠ»ΡΡΠ½ΠΎΠΉ Π²Π΅Π½ΡΠΈΠ»ΡΡΠΈΠΈ Π² ΠΊΠ»ΠΈΠ½ΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΏΡΠ°ΠΊΡΠΈΠΊΠ΅
The purpose of the study was to compare the relationship between the dead space volume and tidal volume (VD/VT) using volumetric capnography (VCap) during pressure controlled (PCV) and pressure supported (PSV) ventilation mode in the postoperative period.Materials and methods. 30 randomly assigned cardiac surgical patients undergoing CABG (coronary artery bypass grafting) using ECC (extracorporeal circuit) were included in an observational, prospective study. Patients were connected to the ventilator immediately after ICU admission. After that, monitoring VD/VT, CO2 production (VECO2) as well as ventilation parameters was carried out. The parameters during PCV and PSV mode were statistically evaluated using t-test.Results. Expiratory CO2 (ETCO2) concentration were not significantly different in both PCV or PSV (p=NS), although both VECO2 and minute ventilation (MV) increased during PSV mode (p<0.01). VD/VT in PSV mode was lower than in PCV. Gas exchange represented by alveolar ventilation (VA) was better during PSV (p<0.01). VA was also higher during PSV (p<0.05). The calculated VD/VT ratio differed between PCV and PSV mode (p<0.01).Conclusion. VCap represents a tool for monitoring of CO2 exchange effectivness. We registered a decrease in VD/VT with improved alveolar ventilation (VA) in PSV mode. VCap seems to be a suitable instrument for adjustment of protective lung ventilation.Π¦Π΅Π»Ρ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ β ΡΡΠ°Π²Π½ΠΈΡΡ Π²Π·Π°ΠΈΠΌΠΎΡΠ²ΡΠ·Ρ ΠΌΠ΅ΠΆΠ΄Ρ ΠΎΠ±ΡΠ΅ΠΌΠΎΠΌ ΠΌΠ΅ΡΡΠ²ΠΎΠ³ΠΎ ΠΏΡΠΎΡΡΡΠ°Π½ΡΡΠ²Π° ΠΈ Π΄ΡΡ
Π°ΡΠ΅Π»ΡΠ½ΡΠΌ ΠΎΠ±ΡΠ΅ΠΌΠΎΠΌ (VD/VT) ΠΌΠ΅ΡΠΎΠ΄ΠΎΠΌ ΠΎΠ±ΡΠ΅ΠΌΠ½ΠΎΠΉ ΠΊΠ°ΠΏΠ½ΠΎΠ³ΡΠ°ΡΠΈΠΈ (VCap) Π² ΡΠ΅ΠΆΠΈΠΌΠ°Ρ
ΠΈΡΠΊΡΡΡΡΠ²Π΅Π½Π½ΠΎΠΉ Π²Π΅Π½ΡΠΈΠ»ΡΡΠΈΠΈ Π»Π΅Π³ΠΊΠΈΡ
Ρ ΡΠΏΡΠ°Π²Π»ΡΠ΅ΠΌΡΠΌ Π΄Π°Π²Π»Π΅Π½ΠΈΠ΅ΠΌ (PCV) ΠΈ ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΠΎΠΉ Π΄Π°Π²Π»Π΅Π½ΠΈΠ΅ΠΌ (PSV) Π² ΠΏΠΎΡΠ»Π΅ΠΎΠΏΠ΅ΡΠ°ΡΠΈΠΎΠ½Π½ΠΎΠΌ ΠΏΠ΅ΡΠΈΠΎΠ΄Π΅.ΠΠ°ΡΠ΅ΡΠΈΠ°Π»Ρ ΠΈ ΠΌΠ΅ΡΠΎΠ΄Ρ. Π ΠΎΠ±ΡΠ΅ΡΠ²Π°ΡΠΈΠΎΠ½Π½ΠΎΠ΅, ΠΏΡΠΎΡΠΏΠ΅ΠΊΡΠΈΠ²Π½ΠΎΠ΅ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠ΅ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠΌ ΡΠ»ΡΡΠ°ΠΉΠ½ΠΎΠ³ΠΎ Π²ΡΠ±ΠΎΡΠ° Π²ΠΊΠ»ΡΡΠΈΠ»ΠΈ 30 ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² ΠΈΠ· ΠΎΡΠ΄Π΅Π»Π΅Π½ΠΈΡ ΡΠ΅ΡΠ΄Π΅ΡΠ½ΠΎ-ΡΠΎΡΡΠ΄ΠΈΡΡΠΎΠΉ Ρ
ΠΈΡΡΡΠ³ΠΈΠΈ, ΠΏΠ΅ΡΠ΅Π½Π΅ΡΡΠΈΡ
ΠΎΠΏΠ΅ΡΠ°ΡΠΈΡ Π°ΠΎΡΡΠΎΠΊΠΎΡΠΎΠ½Π°ΡΠ½ΠΎΠ³ΠΎ ΡΡΠ½ΡΠΈΡΠΎΠ²Π°Π½ΠΈΡ (ΠΠΠ¨) Ρ ΡΠΊΡΡΡΠ°ΠΊΠΎΡΠΏΠΎΡΠ°Π»ΡΠ½ΡΠΌ ΠΊΡΠΎΠ²ΠΎΠΎΠ±ΡΠ°ΡΠ΅Π½ΠΈΠ΅ΠΌ. ΠΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² ΠΏΠΎΠ΄ΠΊΠ»ΡΡΠ°Π»ΠΈ ΠΊ ΡΠΈΡΡΠ΅ΠΌΠ΅ Π²Π΅Π½ΡΠΈΠ»ΡΡΠΈΠΈ Π»Π΅Π³ΠΊΠΈΡ
ΡΡΠ°Π·Ρ ΠΏΡΠΈ ΠΏΠΎΡΡΡΠΏΠ»Π΅Π½ΠΈΠΈ Π² ΠΎΡΠ΄Π΅Π»Π΅Π½ΠΈΠ΅ ΠΈΠ½ΡΠ΅Π½ΡΠΈΠ²Π½ΠΎΠΉ ΡΠ΅ΡΠ°ΠΏΠΈΠΈ. ΠΠ°ΡΠ΅ΠΌ ΠΏΡΠΎΠ²ΠΎΠ΄ΠΈΠ»ΠΈ ΠΌΠΎΠ½ΠΈΡΠΎΡΠΈΠ½Π³ VD/VT, ΠΏΡΠΎΠ΄ΡΠΊΡΠΈΠΈ CO2 (VECO2), Π° ΡΠ°ΠΊΠΆΠ΅ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΎΠ² Π²Π΅Π½ΡΠΈΠ»ΡΡΠΈΠΈ. ΠΠ°ΡΠ°ΠΌΠ΅ΡΡΡ Π²Π΅Π½ΡΠΈΠ»ΡΡΠΈΠΈ Π² ΡΠ΅ΠΆΠΈΠΌΠ°Ρ
Ρ ΡΠΏΡΠ°Π²Π»ΡΠ΅ΠΌΡΠΌ Π΄Π°Π²Π»Π΅Π½ΠΈΠ΅ΠΌ (PCV) ΠΈ ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΠΎΠΉ Π΄Π°Π²Π»Π΅Π½ΠΈΠ΅ΠΌ (PSV) ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈ ΠΎΡΠ΅Π½ΠΈΠ²Π°Π»ΠΈΠ Π΅Π·ΡΠ»ΡΡΠ°ΡΡ. ΠΠ΅ Π²ΡΡΠ²ΠΈΠ»ΠΈ Π΄ΠΎΡΡΠΎΠ²Π΅ΡΠ½ΡΡ
ΡΠ°Π·Π»ΠΈΡΠΈΠΉ ΠΊΠΎΠ½ΡΠ΅Π½ΡΡΠ°ΡΠΈΠΈ CO2 Π²ΠΎ Π²ΡΠ΄ΡΡ
Π°Π΅ΠΌΠΎΠΌ Π²ΠΎΠ·Π΄ΡΡ
Π΅ (ETCO2) ΠΌΠ΅ΠΆΠ΄Ρ ΡΠ΅ΠΆΠΈΠΌΠ°ΠΌΠΈ PCV ΠΈ PSV (p=NS), Ρ
ΠΎΡΡ ΠΊΠ°ΠΊ VECO2, ΡΠ°ΠΊ ΠΈ ΠΌΠΈΠ½ΡΡΠ½Π°Ρ Π²Π΅Π½ΡΠΈΠ»ΡΡΠΈΡ (MV) Π²ΠΎΠ·ΡΠ°ΡΡΠ°Π»ΠΈ Π² ΡΠ΅ΠΆΠΈΠΌΠ΅ PSV (p<0,01). ΠΡΠ½ΠΎΡΠ΅Π½ΠΈΠ΅ VD/VT Π² ΡΠ΅ΠΆΠΈΠΌΠ΅ PSV Π±ΡΠ»ΠΎ Π½ΠΈΠΆΠ΅, ΡΠ΅ΠΌ Π² ΡΠ΅ΠΆΠΈΠΌΠ΅ PCV. ΠΠ°Π·ΠΎΠΎΠ±ΠΌΠ΅Π½, ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½Π½ΡΠΉ Π°Π»ΡΠ²Π΅ΠΎΠ»ΡΡΠ½ΠΎΠΉ Π²Π΅Π½ΡΠΈΠ»ΡΡΠΈΠ΅ΠΉ (VA), Π±ΡΠ» Π»ΡΡΡΠ΅ Π² ΡΠ΅ΠΆΠΈΠΌΠ΅ PSV (p<0,01). ΠΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Ρ VA Π±ΡΠ» ΡΠ°ΠΊΠΆΠ΅ Π²ΡΡΠ΅ Π² ΡΠ΅ΠΆΠΈΠΌΠ΅ PSV (p<0,05). Π Π°ΡΡΠ΅ΡΠ½ΠΎΠ΅ ΠΎΡΠ½ΠΎΡΠ΅Π½ΠΈΠ΅ VD/VT ΡΠ°Π·Π»ΠΈΡΠ°Π»ΠΎΡΡ ΠΌΠ΅ΠΆΠ΄Ρ ΡΠ΅ΠΆΠΈΠΌΠ°ΠΌΠΈ PCV ΠΈ PSV (p<0,01).ΠΠ°ΠΊΠ»ΡΡΠ΅Π½ΠΈΠ΅. ΠΠ±ΡΠ΅ΠΌΠ½Π°Ρ ΠΊΠ°ΠΏΠ½ΠΎΠ³ΡΠ°ΡΠΈΡ (VCap) ΡΠ²Π»ΡΠ΅ΡΡΡ ΡΡΠ΅Π΄ΡΡΠ²ΠΎΠΌ ΠΌΠΎΠ½ΠΈΡΠΎΡΠΈΠ½Π³Π° ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΡΡΠΈ ΠΎΠ±ΠΌΠ΅Π½Π° CO2. ΠΡΠΌΠ΅ΡΠ°Π»ΠΈ ΡΠ½ΠΈΠΆΠ΅Π½ΠΈΠ΅ VD/VT Ρ ΡΠ»ΡΡΡΠ΅Π½ΠΈΠ΅ΠΌ Π°Π»ΡΠ²Π΅ΠΎΠ»ΡΡΠ½ΠΎΠΉ Π²Π΅Π½ΡΠΈΠ»ΡΡΠΈΠΈ (VA) Π² ΡΠ΅ΠΆΠΈΠΌΠ΅ PSV. VCap ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»ΡΠ΅ΡΡΡ ΠΏΠΎΠ΄Ρ
ΠΎΠ΄ΡΡΠΈΠΌ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠΌ ΡΠ΅Π³ΡΠ»ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΏΡΠΎΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΠΉ Π²Π΅Π½ΡΠΈΠ»ΡΡΠΈΠΈ Π»Π΅Π³ΠΊΠΈΡ
Application of object-oriented analysis to study landscape structure
Development of remote sensing has contributed to new approaches in landscape ecology, based on GIS technology. However, per-pixel classification, which has been in use since the 1970s, has been criticized as it does not take into account the contextual information, fundamental in geographic analysis. An alternative is objectoriented image analysis, which seems to approximate human perception in digital processing. Its basic processing units are segments (homogeneous groups of pixels) which may represent landscape entities. Contrary to pixels they allow to study e.g. topological and hierarchical relations (providing contextual information). Object-oriented analysis was used to work out a methodology of environmental analysis. It refers to traditional methods of Polish landscape ecology but take advantage of remote sensing data and GIS tools. As a case study area, Gorce Mts. and surroundings were selected. For the study area, hierarchically structured system of spatial units in three scales was built, which allowed to characterize the study area in respect to morphology and land use. The method enabled an effective landscape analysis through combining an approach specific for human perception with automatic methods, accelerating the research and increasing the level of objectivity
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