Suggestions(1)
Exact(36)
In Figure 5d, we see that this term causes N q to lower slightly its value as T t approaches 0.5.
The indications for BMA were thrombocytopenia (N = 82), agranulocytosis (N = 6), and suspicion of hematologic malignancy (N = 71), of solid cancer (N = 6), of HLH (N = 18), of disseminated tuberculosis (N = 5) and of other causes (N = 5).
In our study, the most common risk factor for MRONJ was dental extraction (n = 6), followed by prosthesis irritation (n = 2), periodontal therapy (n = 1), and unknown causes (n = 1).
Open image in new window Fig. 2 Distribution of deaths of natural causes Table 2 Distribution of deaths of violent causes n Percent Accident Médiastinitisa 1 12,5 Cafe coronary 1 12,5 Homicide Gunshot wounds 3 37,5 Suicide Hanging 3 37,5 Total 8 100 aMediastinitis complicating swallowed razor blade.
Blood lactate levels on admission were somewhat higher in patients who died from a non-neurological cause (n = 72) than in those who died of neurological causes (n = 87), but the differences did not reach statistical significance (6.5 [3.2–9.1 vs. 4.8 [2.4–9.4] mEq/L; p = 0.16).
Four patients had abdominal complaints due to unknown causes (n = 4).
Similar(24)
However, it may cause N deficiency in the short-term.
In addition, the data pattern points towards cue-related instead of response-related inhibitory processes causing n − 2 repetition costs.
Cauliflower (Brassica oleracea L. var. botrytis) has high nitrogen (N) demand during growing, but due to its low N use efficiency and N-rich residues, it may cause N losses by leaching after harvest.
The stroke subjects used: a) Large-vessel atherosclerosis (n = 8); b) Small-vessel disease (n = 3); c) Cardioembolism (n = 5); d) Undetermined cause (n = 3).
Endpoints were all-cause (n = 628), cardiovascular (n = 230), non-cardiovascular (n = 398) and cancer mortality (n = 178), and fatal or non-fatal myocardial infarction (n = 138) or stroke (n = 163).
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com