erroneous treatment 中文意思是什麼

erroneous treatment 解釋
誤治
  • erroneous : adj. 錯誤的,不正確的。 erroneous opinions 錯誤意見。adv. -ly ,-ness n.
  • treatment : n 待遇;作業;處理,處置;討論,論述;【醫學】治療,療法;(種子的)消毒(處理)。 preferential t...
  1. Correct treatment of plate thermal epeirogeny shows the previous wholly-vertical contraction/expansion requirement to be erroneous.

    對板塊熱力造陸作用的正確分析表明,先前那種認為收縮膨脹作用完全是垂直方向上進行的看法是錯誤的。
  2. Responsibiliy of civil compensation in the dissension cases erroneous diagnosis treatment

    誤診誤治糾紛的民事法律責任
  3. It is desirable for all related insiders and outsiders to discern all potential risk in advance. this paper, with the adoption of special treatment resulted from abnormal financial position as the indicator of financial distress, the univariate variable analysis and multiple variable analysis as the research approach and some financial ratios as variable, tries to find an optimal financial distress prediction model of chinese manufacturing listed companies based on public accounting data. our finding demonstrate that five general financial ratios and three ratios concerning the cash flow have better predicting ability, the erroneous classification ratio are low. these five general financial ratios are earning per share, return on net assets, return on gross assets, growth rate of net profits, growth rate of net assets ; the three ratios concerning the cash flow are net cash flows from operating activities per share, net re - earnable cash flows / current liability, net cash flows from operating activities / net profit

    研究結果表明,在單變量分析中,每股收益、凈資產收益率、總資產報酬率、凈利潤增長率、凈資產增長率這5個財務比率的錯分率較低、預測能力較強;經營活動凈現金流量與凈利潤之比、每股經營現金流量、可重復賺取的現金凈流量與流動負債之比這三個現金流量財務比率對于預測上市公司財務困境具有有效性;多變量分析中,應用費雪判別分析和典則判別分析得到兩個判別模型,在典則判別分析中,應用兩種方法確定所建模型的最佳分界點,檢測證明應用所得兩個判別模型進行財務困境預測的準確率很高。
  4. In the early 1970s an erroneous newspaper article, which is still often cited, inflated the prescribing rate of medication by a factor of 10, influencing some to avoid treatment with stimulants

    1937年,一家醫院首次採用安非他命來治療有行為問題的兒童。兒童接受治療后,行為有改進。不過,這種治療法在1950年代以前都不太普遍。
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