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   1  the number of fire vehicles on site, and building age, but we could not account for the high levels of BDE-209 observed 
  
  
     4   Because most studies measured BMI after cancer diagnosis, we could not conduct a parallel analysis to adequately evalua
     5  <0.00002 methylated cytosines per nonmethylated cytosine), we could not confirm any cytosine DNA methylation in laborato
  
     7 SG classification was confirmed in our population; however, we could not confirm the primary site and the level of human 
  
  
    10  reaction is essential to the parasite blood stages because we could not delete the Plasmodium berghei gene encoding GatA
    11 cohort of patients undergoing repeated radioiodine therapy, we could not demonstrate alterations in salivary parameters. 
    12 ated virus (GAV), encodes the 2'-O-MTase activity, although we could not detect 2'-O-MTase activity for the homologous pr
  
  
    15             In live-cell time-lapse microscopy experiments, we could not detect any significant phagocytosis by purified 
  
    17 pite our large sample size and multiple datasets available, we could not detect robust associations between specific gene
  
    19 ing a knock-in reporter mouse line expressing tagged SUMO1, we could not detect SUMO1-conjugation of seven previously pro
    20 el of CD22 monoclonal antibodies and Western blot analyses, we could not detect surface or intracellular expression of CD
    21         ER- associated LCV formation was unique to CLas, as we could not detect these bodies in B. trigonica infected wit
  
    23 t we did not have individual-level data on sun exposure, so we could not directly control for this in the primary analysi
    24 leaved products are required for the PDI phenotype although we could not distinguish loss of function from loss of secret
  
  
  
    28 lagen (Col-I) promoter (COL-EGFP) had green stroma, whereas we could not find COL-EGFP(+) cells in tumors developing in t
  
    30  of this study was that, owing to its observational nature, we could not fully exclude the effects of residual confoundin
    31               After we offered telemedicine to both groups, we could not identify a difference between the groups in the 
    32                 Because of the absence of treatment effect, we could not identify a gene signature predictive of clinical
  
  
  
  
  
  
    39 -induced Akt signaling dynamics and cell cycle progression, we could not predict the fate of individual cells.           
  
    41 icroparticles, pH sensors, and 3D microfluidic devices that we could not produce using traditional 3D printing.          
  
  
  
    45 ed helical positioning, for the great majority of dendrites we could not reject the null hypothesis of spatial randomness
    46 ater than the margin of non-inferiority of 1.08; therefore, we could not reject the null hypothesis that ibandronic acid 
  
  
    49         There was no evidence of publication bias; however, we could not separate the contributions of obesity-related ca
    50   In contrast, using almost identical targeting constructs, we could not truncate or C-terminally tag the SERA5 gene, or 
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