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To compare the effects of laparoscopic hepatectomy (LH) versus open hepatectomy (OH) on the short-term and long-term outcomes of patients with intrahepatic cholangiocarcinoma (ICC) through a meta-analysis of studies using propensity score-matched cohorts. The literature search was conducted in PubMed, Embase, and Cochrane Library databases until August 31, 2022. Meta-analysis of surgical (major morbidity, the length of hospital stay, 90-day postoperative mortality), oncological (R0 resection rate, lymph node dissection rate) and survival outcomes (1-, 3-, and 5-year overall survival and disease-free survival) was performed using a random effects model. Data were summarized as relative risks (RR), mean difference (MD) and hazard ratio (HR) with 95% confidence intervals (95% CI). Six case-matched studies with 1054 patients were included (LH 518; OH 536). Major morbidity was significantly lower (RR = 0.57, 95% CI = 0.37–0.88, P = 0.01) and the length of hospital stay was significantly shorter (MD = −2.44, 95% CI = −4.19 to −0.69, P = 0.006) in the LH group than in the OH group, but there was no significant difference in 90-day postoperative mortality between the 2 groups. There were no significant differences in R0 resection rate, lymph node dissection rate, 1-, 3-, and 5-year overall survival or disease-free survival between the LH and OH groups. LH has better surgical outcomes and comparable oncological outcomes and survival outcomes than does OH on ICC. Therefore, laparoscopy is at least not inferior to open surgery for intrahepatic cholangiocarcinoma. [ABSTRACT FROM AUTHOR]

Abstract: In this paper, wavelet packet energy entropy and weighted support vector machines are used to automatically detect and classify power quality (PQ) disturbances. Electric power quality is an aspect of power engineering that has been with us since the inception of power systems. The types of concerned disturbances include voltage sags, swells, interruptions. Wavelet packet are utilized to denoise the digital signals, to decompose the signals and then to obtain five common features for the sampling PQ disturbance signals. A weighted support vector machine is designed and trained by 5-dimension feature space points for making a decision regarding the type of the disturbance. Simulation cases illustrate the effectiveness. [Copyright &y& Elsevier]