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The Andean flank in central Peru is characterized by stepped profiles involving up to 20 surfaces and pediments resulting from multiple episodes of uplift and erosion. The study area exhibits the same sequence of surfaces and pediments. The erosional features are also recognized in the Eastern Cordillera in northern Peru. This paper focuses on the seven highest features in the range c. 2800–4700 m. Remnants of the four surfaces higher than 3800 m, which were formed during the interval c. 18–12 Ma, are only found south of latitude 6–6.5° S. The Miocene metallogenic belt associated with the Western Cordillera terminates abruptly at that same latitude. The area north of c. 6° S does not have any features higher than c. 3500 m, which is interpreted as indicating a later initiation of uplift. It also lacks any sign of magmatic activity. On the basis of these factors, the Central Andes are considered to terminate at c. 6° S, the ranges to the north being assigned to the Northern Andes. Once episodic uplift was initiated in the area north of 6° S, it continued at the same rhythm as in the region to the south. There was no apparent change in the pattern of episodic uplift when the normal subduction regime changed to a flat-slab regime at c. 11 Ma, probably as a result of the subduction of the Inca Plateau. The distribution of the erosion surfaces indicates that episodic uplift affected the whole of the Andean Block in northern Peru. It appears that the individual episodes occurred simultaneously and produced the same amount of uplift over the whole width of the cordilleras. There is no sign of any interruption in the process, implying a continuous orogeny from the Mid-Miocene onwards. [ABSTRACT FROM AUTHOR]

Purpose: The quintuple helix innovation model allows exploring the sustainable development of countries from the perspective of the capabilities that each of them possesses in terms of highly qualified personnel in science and technology. In addition, their distribution among the actors (helices) and the global mobility of this type of people are examined. The purpose of this paper is to dimension and characterise the research structures of the central, emerging and peripheral countries; to estimate the demand and mobility of scientists and technologists in the three selected countries; and to establish whether the concept of brain circulation applies to each of these types of countries. Design/methodology/approach: The approach of the work is bibliometric and scientometric. In the first step, two theoretical frameworks were built. In the second step, indicators to measure the overall migration were developed and identified. In the third step, data from previous research were used, and data from Peru were added using the same methodology to be able to compare the three types of countries. Findings: The study shows that the same terminology cannot be used globally to analyse the mobility of scientists in today's world, despite technological advances because there is no critical mass in peripheral countries. Originality/value: This study shows that the concept of brain circulation cannot be applied equally to all countries, because those that do not have critical mass lose capabilities, despite the existence of information and communication technologies. [ABSTRACT FROM AUTHOR]

The article discusses how a shift in coca production pushed Peruvian children towards crime. Topics include overdoses by consumers and violence among traffickers and dealers; a recent paper by Maria Micaela Sviatschi of Princeton University that shows that demand for coca leaves, from which cocaine is produced, pushed a generation of children in Peru out of school and into lives of crime; and incentive to coca farmer that declined the production.

In order to promote good water governance practices, harmonize multiple objectives, and reflect the linkages between environmental, socioeconomic and politico-administrative aspects, it is imperative to define appropriate regions for water resources planning and management. The Water Resources Planning and Management Decision Support System (WARPLAM DSS) is presented here as a tool to support the definition of suitable limits for water resources regions. Although river basins are generally considered the most suitable regions to achieve Integrated Water Resources Management (IWRM) goals, WARPLAM DSS facilitates the analysis of politico-administrative, historic-cultural, socioeconomic, and physical-environmental aspects. This paper summarizes an initiative to define integrated water resources regions for the establishment of River Basin Committees (RBCs) in Peru, based on a comprehensive analysis of the Peruvian territory. The study was developed through a partnership between ANA-Peru and ANA-Brazil, with the cooperation of the Inter-American Development Bank (IDB). The results simulated in this attempt anticipate a more harmonized division of Peru's territory into water resources regions. Such an approach aims to establish more robust RBCs and to increase the chances of attaining IWRM goals. [ABSTRACT FROM AUTHOR]

The article discusses a research paper on the wounds left on fossils found in the Pisco fossil beds in Aguada de Lomas, Peru. It references a study by Alberto Collareta et al., published in an issue of the "Palaeogeography, Palaeoclimatology, Palaeoecology". It tackles a factor that led to the changes in the coastal environments where small baleen whales lived.

• A predicting model for the long-term epidemic trend of COVID-19 by using LSTM with rolling update mechanism is proposed. • The 150-days ahead epidemic trend of COVID-19 in Russia, Peru and Iran are estimated by our proposed model. • The results provide that the epidemic of Peru will end in early December. • The number of daily cases in Russia and Iran is expected to fall below 2000 and 1000 by mid-November and early December. • By introducing diffusion index, the effectiveness of preventive measures taken by the government are analyzed. The COVID-19 outbreak in late December 2019 is still spreading rapidly in many countries and regions around the world. It is thus urgent to predict the development and spread of the epidemic. In this paper, we have developed a forecasting model of COVID-19 by using a deep learning method with rolling update mechanism based on the epidemical data provided by Johns Hopkins University. First, as traditional epidemical models use the accumulative confirmed cases for training, it can only predict a rising trend of the epidemic and cannot predict when the epidemic will decline or end, an improved model is built based on long short-term memory (LSTM) with daily confirmed cases training set. Second, considering the existing forecasting model based on LSTM can only predict the epidemic trend within the next 30 days accurately, the rolling update mechanism is embedded with LSTM for long-term projections. Third, by introducing Diffusion Index (DI), the effectiveness of preventive measures like social isolation and lockdown on the spread of COVID-19 is analyzed in our novel research. The trends of the epidemic in 150 days ahead are modeled for Russia, Peru and Iran, three countries on different continents. Under our estimation, the current epidemic in Peru is predicted to continue until November 2020. The number of positive cases per day in Iran is expected to fall below 1000 by mid-November, with a gradual downward trend expected after several smaller peaks from July to September, while there will still be more than 2000 increase by early December in Russia. Moreover, our study highlights the importance of preventive measures which have been taken by the government, which shows that the strict controlment can significantly reduce the spread of COVID-19. [ABSTRACT FROM AUTHOR]