Additional file 6: Table S5. of Metronomic cyclophosphamide activation of anti-tumor immunity: tumor model, mouse host, and drug schedule dependence of gene responses and their upstream regulators

Negative regulators of immune response. (XLSX 70 kb

Fraction of tweets mentioning others at different hours.

<p>The ambivalent tweets contain significantly more mentions, especially at 20:00 and 22:00.</p

Orixa japonica Thunb.

原著和名: コクサギ科名: ミカン科 = Rutaceae採集地: 千葉県 清澄山 (安房 清澄山)採集日: 1970/4/24採集者: 萩庭丈壽整理番号: JH008799国立科学博物館整理番号: TNS-VS-95879

Comparison of topic preferences between ambivalent and ordinary users.

<p>(a) Variation of positive emotion for topic detection. (b) Variation of negative emotion for topic detection. Peaks with clear event semantics are selected from the positive or negative emotional line of the ambivalent users and the points with the same time stamp are also highlighted for ordinary users.</p

Typical positive and negative emoticons in Weibo.

<p>The tweets containing both the positive and negative emoticons will be identified as ambivalent ones.</p

Fractions of tweets posted in three days before and after shopping.

<p>For <i>x</i> axis, the unit is a day and 0 stands for the shopping date. (a) Positive tweets. (b) Negative tweets.</p

Distribution of tweets posted at different time.

<p>(a) The hourly pattern. (b) The weakly pattern. In both (a) and (b), insets show the absolute fraction of each type of tweets at different time, from which it can be seen that the ambivalent tweets only occupy a small fraction in Weibo.</p

Simulation Parameters.

<p>Simulation Parameters.</p

Localization Error under different BRS Estimation Errors.

<p>Localization Error under different BRS Estimation Errors.</p

The comparison between proposed method and LS algorithm.

<p>The comparison between proposed method and LS algorithm.</p