Objective-To-investigate-surgical-skills-and-safety-of-laparoscopic-hysterectomy-procedure-for-enlarged-uterus-in-woman-with-adenomyosis-.-Methods-Fourteen-cases-of-adenomyosis-with-uterus-larger-than-twelve-week-pregnancy-accepted-laparoscopic-hysterectomy-form-December-2012-to-December-2013-in-our-hospital-.-Some-operating-techniques-,-including-the-management-of-uterine-vessels-and-separation-of-cardinal-ligament-and-uterosacral-ligament-,-were-modified-.-Results-The-operation-was-performed-successfully-under-laparoscopy-in-all-the-cases-.No-conversion-to-open-surgery-was-required-.No-operating-complication-happened.The-operating-time-was-(160.7-±66.1)-min,-and-the-intraoperative-blood-loss-was-(184.3-±50.5)-ml.-Conclusion-Modified-laparoscopic-techniques-should-be-considered-as-an-acceptable-alternative-in-hysterectomy-for-the-management-of-large-uterus-in-woman-with-adenomyosis-.

Objective To study normal hearing children's speech perception in Speech Spectrum -Shaped Noise (SSN) and Babble Noise (BN) using the Mandarin lexical neighborhood test .Methods Thirty -four children with normal hearing were included in this study and randomly assigned to the SSN group and the BN group .Each child was given the 12 lists of Mandarin lexical neighborhood test ,word recognition scores were acquired at different SNRs .Results SNR50 of dissyllablic easy word lists ,dissyllablic hard word lists ,monosyllable easy word lists , monosyllable hard word lists in SSN were -3 dB ,-0 .5 dB ,-1 dB and 3 .5 dB ,respectively ;SNR50 of the four categories lists in BN were -3 dB ,2 dB ,0 .5 dB and 10 dB ,respectively .Lexical effects had a significant influence on spoken word recognition in noise .Especially ,word recognition scores of easy words were higher than those of hard words ,dissyllablic words were better than monosyllable words .Conclusion The masking effects of babble noise on spoken speech perception are stronger than speech spectrum -shaped noise for 3-6 year-old normal hearing chil‐dren .Lexical effects also affet children's speech recognition in noise .