ライフサイエンスコーパス: source-sink

1 anofluid is incorporated along with the heat source/sink.

2 ecting a complex interplay between pollution sources, sinks and residence times of different polymers

3 nts, both in relation to picoplankton carbon sources, sinks and transfer to higher trophic levels.

4 re therefore needed to better understand its sources, sinks, and atmospheric impacts.

5 time resolution, giving new insight into N2O sources, sinks, and chemistry.

6 However, WSOG sources, sinks, and concentration dynamics are poorly un

7 Trees are sources, sinks, and conduits for gas exchange between th

8 nts (POPs) has the potential to characterize sources, sinks, and degradation processes in the environ

9 e observations demonstrate (i) that sediment sources, sinks, and fluxes vary widely over time and spa

10 atmosphere improve our understanding of the sources, sinks, and transport of interplanetary dust thr

11 amental questions: (i) What do we know about sources, sinks, and underlying processes driving observe

12 ent and indicating a tremendous shift in the source sink balance.

13 r injection, P<0.05), which further supports source-sink balance as a critical mediator of Ca(2+)-ind

14 t heart and highlight the critical nature of source-sink balance in initiating focal arrhythmias.

15 poorly constrained by uncertainty in how the source-sink balance will evolve.

16 n vivo via maintenance of relevant proteins, source-sink balance, a niche reflective of the native SA

17 culation, with implications for the nitrogen source-sink balance.

18 Therefore, the source/sink behavior of temperate forest soils likely de

19 nutrient budgets to investigate how the net source/sink behavior of wastewater and irrigated agricul

20 y established a bottom-up model based on the source-sink boundary and the microbial sources of N(2)O.

21 Source-sink communication and the activity of cell walls

22 MUA phase-locked to local current source/sink configurations confirmed that alpha rhythms

23 potentially generating systemic signals for source-sink coordination.

24 ween the determinacy of apical meristems and source-sink cross-talk.

25 bon fixation, the role of CEF to balance the source-sink demand for ATP and NADPH, and the enhancemen

26 We introduce a source-sink diffusion model for polarization transfer wh

27 or bears in human-dominated areas revealed a source-sink dynamic.

28 s out of temperate hotspots highlight strong source-sink dynamics across the cosmopolitan distributio

29 For source-sink dynamics and pathogen control via disinfecti

30 Source-sink dynamics and spillover processes may link ad

31 Here, I propose that source-sink dynamics are an essential basic model to exp

32 t small intensity of dispersals can generate source-sink dynamics between two patches, while intermed

33 st that following their emergence in Taiwan, source-sink dynamics from a single county have maintaine

34 lternative framework where stoichiometry and source-sink dynamics govern mycorrhizal function.

35 Dispersal, however, induced source-sink dynamics in the presence of specialist preda

36 ng the complex processes that regulate CH(4) source-sink dynamics in trees and forests requires cross

37 Understanding source-sink dynamics is important for conservation manag

38 s largely on wintering areas; thus, study of source-sink dynamics of discrete regular wintering units

39 nal and intercontinental connectivity to the source-sink dynamics of SARS-CoV-2 for Jordan and the Mi

40 or reproductive seasons differ, the dominant source-sink dynamics of these two congeneric species are

41 Understanding parasite source-sink dynamics on different geographic scales is c

42 Source-sink dynamics provide testable hypotheses to illu

43 amera trap study in hunting areas subject to source-sink dynamics used by 10 sedentarised Baka commun

44 We find that source-sink dynamics varied substantially by VOC and ide

45 When source-sink dynamics were considered, the long-term outc

46 ains high growth, while anthropogenic-driven source-sink dynamics within connected conservation clust

47 patial clustering of infections, delineating source-sink dynamics, and mapping the dispersal of novel

48 en transferring without pathogen demography, source-sink dynamics, and pathogen control via external

49 , theory predicts that migration limitation, source-sink dynamics, and time-lagged local extinction c

50 oss-country transmission corridors, creating source-sink dynamics, and undermining control strategies

51 r, currently unoccupied areas, understanding source-sink dynamics, and understanding community dynami

52 titute an important advance in understanding source-sink dynamics, suggesting that mature red maples

53 ion rates across the region, consistent with source-sink dynamics, whereby more recently colonized sa

54 agmented populations are commonly studied as source-sink dynamics, whereby source populations exhibit

55 tial explanations for these patterns include source-sink dynamics, with asymmetrical gene flow mediat

56 d by nutrient transfer from fungi or through source-sink dynamics.

57 gnificant genetic differentiation with clear source-sink dynamics.

58 ing periodic or continuous bidirectional and source-sink dynamics.

59 ored the potential impacts of disturbance on source-sink dynamics.

60 virulence in bacterial pathogens subject to source-sink dynamics.

61 Mobility-driven transmission can result in source-sink dynamics: one community can sustain a micro-

62 more accurate measures of terrestrial carbon source/sink dynamics and potentials for stabilizing atmo

63 on with delta(18)O and delta(15)N, to assess source/sink dynamics of groundwater nitrate beneath allu

64 nuous survival of these organisms in nature, source-sink evolutionary dynamics, or, possibly, a limit

65 eciate is that these effects of dispersal on source-sink extinction arise from the temporal density-d

66 ts to sources is the highest and the risk of source-sink extinction the greatest.

67 l costs to sources is the lowest and risk of source-sink extinction the least.

68 w these subcellular/cellular events overcome source-sink factors in cardiac tissue to generate DADs o

69 eliant on (a) expanding research to quantify sources, sinks, fluxes and fates of plastics in catchmen

70 mplex I, linking NAD(P)H <--> NAD(P)(+) as a source/sink for electrons.

71 ifies redox reactions and offers an electron source/sink for synthesis without using stoichiometric o

72 Source-sink gradients driven by differences in N content

73 ; these relationships appeared to arise from source-sink imbalances, suggesting potential substrate r

74 ove photosynthetic performance by correcting source/sink imbalances.

75 n strigolactone production, shoot branching, source-sink interactions and production of arbuscular my

76 of achieving a spatiotemporal resolution of source-sink interactions in crop plant metabolism, a mul

77 cardial Purkinje fibers, which suggests that source-sink interactions may contribute to the greater p

78 s for the regulation of phloem transport and source-sink interactions.

79 e high rate of photosynthesis, the extent of source/sink limitation, the impact of environment, and t

80 tom-up framework for understanding microbial source-sink mechanism in the ocean.

81 ling models and provide support for a graded source-sink mechanism underlying zebrafish dorsal-ventra

82 nism, our analyses support a fourth model, a source-sink mechanism, which relies on a restricted BMP

83 The source-sink metrics identified epileptogenic regions wit

84 feature for epileptogenic zone localization, source-sink metrics outperformed in predictive power (by

85 The source-sink metrics predicted outcomes with an accuracy

86 network, with each node being quantified by source-sink metrics.

87 larizations are synchronized to overcome the source-sink mismatch and produce focal arrhythmia in the

88 arose at intermediate pacing rates due to a source-sink mismatch behind the barrier.

89 critically dependent on the presence of the source-sink mismatch imposed by the isthmus.

90 In conclusion, the source-sink mismatch in well-coupled cardiac tissue powe

91 to overcome the robust protective effects of source-sink mismatch.

92 depolarizations (DADs) overcome electrotonic source-sink mismatches in tissue to trigger premature ve

93 This finding is consistent with a source-sink model in which strains emerging in warm clim

94 Such pattern of dynamics is consistent with source-sink model of virulence evolution.

95 mp2 diffusion and found that it supports the source-sink model, suggesting a new mechanism to shape B

96 ry dynamics is reminiscent of an ecological "source-sink" model of continuous species spread from a s

97 lly all leaf taxa are also detected in soil; source-sink modeling shows non-random, ecological filter

98 ganic matter, a sink of NO3(-), and variable source/sink of ammonium.

99 The quest for optimal solutions for specific source-sink pairs is a complex, multi-objective challeng

100 een only a small fraction (<13%) of possible source-sink pairs.

101 al relaxation time [Formula: see text], heat source/sink parameter, [Formula: see text] thermal radia

102 hese results suggest that phloem loading and source-sink partitioning of SMM are important for plant

103 edge weighting function so that the shortest source-sink path maximizes exon-level prediction accurac

104 erate a directed acyclic graph in which each source-sink path represents a possible gene structure.

105 abolic and proteomic profiles both along the source-sink pathway and between the STSs of these three

106 Our investigation unfolds historical source-sink patterns of evolutionary recruitment that fu

107 imited by the removal of sap, alterations in source-sink patterns, and viral diseases vectored by aph

108 I show that source-sink persistence depends critically on the interp

109 spersal per se does not increase or decrease source-sink persistence relative to density-independent

110 Source-sink population dynamics appear likely when speci

111 We also found evidence of source-sink population dynamics over winter, suggesting

112 from a four-population n-island model and a source-sink population model.

113 ized linear models (GLM), and compared their source/sink predictive performance.

114 nly over a finite range of prescribed ligand source/sink ratios where the model ocean is driven to gl

115 light energy for carbon fixation and growth (source-sink regulation).

116 We quantified source-sink relations across biomes by combining eddy-co

117 dian oscillation, CAM-related functions, and source-sink relations.

118 mparison with silique data provides clues to source-sink relations.

119 sectors revealed alterations suggestive of a source-sink relationship between the green and white sec

120 e, we investigate the above- and belowground source-sink relationship of the defense compounds glucos

121 fected nonvascular mesophyll tissue when the source-sink relationship of the plant (Solanum sarrachoi

122 ced sooner even in decapitated poplars where source-sink relationships and hormone homeostasis were p

123 e that this behavior reflects alterations in source-sink relationships and paradoxical conduction acr

124 processes may reduce uncertainties in carbon source-sink relationships at different spatial scales, f

125 in chlorophyll levels, suggestive of altered source-sink relationships between vegetative shoot and r

126 uable insights into amino acid transport and source-sink relationships during seed development, and r

127 Due to source-sink relationships in cardiac tissue, a minority

128 diated regulatory processes are dominated by source-sink relationships in which factors operate as 's

129 e that dramatic and rapid reconfiguration of source-sink relationships modifies chromatin states.

130 cluding those involved in energy metabolism, source-sink relationships, secondary metabolite producti

131 s during grain filling in rice by optimizing source-sink relationships.

132 regulation, suggesting that FT1 might alter source-sink relationships.

133 s and, possibly, the establishment of strong source-sink relationships.

134 starch synthesis, and attempts to manipulate source-sink relationships.

135 Nutrient sources, sinks, residence times, and elemental ratios va

136 tments, but a quantitative resolution of the sources, sinks, seasonality, and biogeochemical cycles w

137 nt data are essential to correctly ascribing source-sink status and accurately informing development

138 es were used to investigate the influence of source-sink status on protein levels, as well as to anal

139 phic contributors to population growth rate, source/sink status and possible density dependence.

140 Source-sink structure was evident via asymmetry in migra

141 roundwater, indicating the complex nature of source-sink terms and the need for care when comparing r

142 esented as algebraic equations) into RTMs as source/sink terms.

143 I investigate two aspects of source-sink theory that have hitherto received little at

144 Here, we examine the combined effect of heat source/sink thermal resistances and thermoelectric mater

145 s allowed pQBR57 to persist in P. putida via source-sink transfer dynamics.

146 d we analyzed whether SMM phloem loading and source-sink translocation are important for the metaboli

147 AAP2 T-DNA insertion lines showed changes in source-sink translocation of amino acids and a decrease

148 tions that are needed (in terms of R(0)) for source-sink transmission dynamics to occur in generalise

149 ion can positively affect C assimilation and source-sink transport and benefit sink development and o