HOMO HABILIS AND AUSTRALOPITHECUS AFRICANUS, IN THE CONTEXT OF A CHRONOSPECIES AND CLIMATIC CHANGE

2015 ◽  
pp. 65-70 ◽  
Keyword(s):  
Climatic Change ◽  
Australopithecus Africanus ◽  
Homo Habilis

Further issues in neurolinguistic preconditions

1996 ◽  
Vol 19 (4) ◽  
pp. 793-798 ◽  
Author(s):  
Wendy K. Wilkins ◽  
Jennie Wakefield
Keyword(s):  
Cebus Apella ◽  
Human Species ◽  
Australopithecus Africanus ◽  
Homo Habilis ◽  
Music And Language ◽  
Species Specific

AbstractThis response to continuing commentary addresses brain-hand relationships in Cebus apella (as introduced in West-ergaard's commentary), the evolutionary and acquisition parallels between music and language (suggested by Lynch), and the potential behavioral linguistic consequences of the evolutionary neurobiology in Australopithecus africanus and Homo habilis (discussed by Tobias). Finally, we reiterate the importance of well informed, multidisciplinary approaches to the study of the emergence of human species-specific cognition, especially linguistic capacity.

Landscape development in response to climatic change during Oxygen Isotope Stage 5 in the southern Siberian loess region

Boreas ◽  
2004 ◽  
Vol 33 (2) ◽  
pp. 164-180 ◽  
Author(s):  
Jiri Chlachula ◽  
Rob Kemp ◽  
Catherine Jessen ◽  
Adrian Palmer ◽  
Phillip Toms
Keyword(s):  
Oxygen Isotope ◽  
Climatic Change ◽  
Landscape Development ◽  
Oxygen Isotope Stage ◽  
Loess Region

A century since the recognition of cyclic climatic change by Milanković

2021 ◽  
Vol 53 ◽  
pp. 1-5
Author(s):  
Marco Romano ◽  
Bruce Rubidge ◽  
Raffaele Sardella
Keyword(s):  
Climatic Change

Physico-Chemical Analysis of Groundwater and Effect of Climatic Change in Angul-Talcher Area

2018 ◽  
Vol 6 (12) ◽  
pp. 26
Author(s):  
Aliva Bera ◽  
D.P. Satapathy
Keyword(s):  
Water Resources ◽  
Linear Regression ◽  
Regression Model ◽  
Climatic Change ◽  
Linear Regression Model ◽  
Ann Model ◽  
Quality Of Water ◽  
Physico Chemical ◽  
Simulation Based

In this paper, the linear regression model using ANN and the linear regression model using MS Excel were developed to estimate the physico-chemical concentrations in groundwater using pH, EC, TDS, TH, HCO3 as input parameters and Ca, Mg and K as output parameters. A comparison was made which indicated that ANN model had the better ability to estimate the physic-chemical concentrations in groundwater. An analytical survey along with simulation based tests for finding the climatic change and its effect on agriculture and water bodies in Angul-Talcher area is done. The various seasonal parameters such as pH, BOD, COD, TDS,TSS along with heavy elements like Pb, Cd, Zn, Cu, Fe, Mn concentration in water resources has been analyzed. For past 30 years rainfall data has been analyzed and water quality index values has been studied to find normal and abnormal quality of water resources and matlab based simulation has been done for performance analysis. All results has been analyzed and it is found that the condition is stable. 

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