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1.
Sci Rep ; 5: 12408, 2015 Jul 23.
Artigo em Inglês | MEDLINE | ID: mdl-26202835

RESUMO

We have previously described hominin remains with numerous archaic traits from two localities (Maludong and Longlin Cave) in Southwest China dating to the Pleistocene-Holocene transition. If correct, this finding has important implications for understanding the late phases of human evolution. Alternative interpretations have suggested these fossils instead fit within the normal range of variation for early modern humans in East Asia. Here we test this proposition, consider the role of size-shape scaling, and more broadly assess the affinities of the Longlin 1 (LL1) cranium by comparing it to modern human and archaic hominin crania. The shape of LL1 is found to be highly unusual, but on balance shows strongest affinities to early modern humans, lacking obvious similarities to early East Asians specifically. We conclude that a scenario of hybridization with archaic hominins best explains the highly unusual morphology of LL1, possibly even occurring as late as the early Holocene.


Assuntos
Evolução Molecular , Hominidae/anatomia & histologia , Hominidae/genética , Hibridização Genética/genética , Crânio/anatomia & histologia , Animais , China , Fósseis
2.
Artigo em Chinês | WPRIM (Pacífico Ocidental) | ID: wpr-320434

RESUMO

According to the characteristics of ECG analysis, large data quantum, high accuracy demand and real-time, a classified algorithm of arrhythmia based on clustering analysis is presented in this paper. According to "things-of-one-kind-come-together" principle, this algorithm uses the similarities of cases with same kind of heart disease at the same time, includes the factors of the individual difference to analyze arrhythmias by clustering QRS complex waveform and rhythm analysis as the subordinate method. Verified by eight records of MIT-BIR standard heart electricity database, the probability of correct clustering reaches above 90%, which shows that this algorithm can analyze arrhythmias effectively.


Assuntos
Humanos , Algoritmos , Arritmias Cardíacas , Diagnóstico , Análise por Conglomerados , Bases de Dados Factuais , Eletrocardiografia , Processamento de Sinais Assistido por Computador
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