Range extension of four highland agamid lizards in Shimshal Pamir,Pakistan

As part of the Sino-Pak trans-boundary cooperation for conservation and sustainable development in Pamir border region, World Wild Fund （WWF）-Pakistan conducted a preliminary social, economic and ecological survey in the ShimshaI-Pamir Lakes area in July 2009. The purpose of the study was to explore potentials and opportunities for future collaborative conservation of some species, habitats and high altitude ecosystems in the border region between China and Pakistan. The two-week herpetological study in the Shimshal Pamir area of Khunjerab National Park （KNP） along Pakistan-China border was an integral part of the survey, conducted exclu- sively to document reptilian fauna with a special emphasis on investigating their occurrence, distribution and status in the study area. Field investigations were performed during daytime when it was hot enough and reptiles were active, basking or feeding. A total of 15 specimens belonging to four species of the Agamidae family were captured by striking stones and beating bushes with sticks. Collected specimens were preserved using 10% formalin solution, tagged with field information and stored in Zoological Survey Department, Karachi for future reference. Laboratory investigations were carried out for pholidosic counts and morphometric measurements. A detailed review of relevant literature, habitat characteristics and laboratory investigations revealed the occurrence of Laudakia himalayana, L. pakistanica, L. tuberculata and L. badakhshana at 4,082 m, 4,172 m, 4,005 m and 4,240 m asl, respectively, which are much higher altitudes as compared to the previously reported heights of 3,353 m, 3,200 m, 2,500 m and 2,400 m asl. The terrain offers a variety of ecological barriers, in the form of fast and freezing running waters and massive glaciers with peculiar harsh climatic conditions prevailing for nine months of the year, which restricts species migration and thus increases endemism. Although one of the four species recorded from the study area, i.e.L, pakistanica is endemic to Pakistan, L. tuberculata and L. badakhshana are new records from Shimshal, Pakistan, so a detailed investigation is suggested for further herpetological records from the study area.

Interconnection of Green Marketing and Green Human Resource Management Functions

Over the globe,we are moving to industrialization,which expands business creation,innovation,and different business exercises.This also expands human comfort,yet in addition,builds its way of life.In any case,on the opposite side,it likewise increments environmental danger that came about biological dangers to person.This article highlights the importance of green HRM practices for effective green marketing.The green human asset(the executives)has to make green mindfulness among the new ability and the current representative working for the association,energize their workers for helping the association to lessen the reasons for ecological debasement through green development,green projects and practices,hold the assets for the group of people yet to come.Based on extensive literature review,it is found that green HRM can create readiness,motivation and pledge to workers to contribute their endeavors and thoughts to the greening of their association for real reflection to the consumers in endeavors to cope with green skepticism and greenwash for effective green marketing and corporate social identity.

Estimation of Cloud Node Acquisition

Over the past decade, there has been a paradigm shift leading consumers and enterprises to the adoption of cloud computing services. Even though most cases are still in the early stages of transition, there has been a steady increase in the implementation of the pay-as-you-go or pay-as-you-grow models offered by cloud providers. Whether applied as an extension of virtual infrastructure, software, or platform as a service, many users are still challenged by the estimation of adequate resource allocation and the wide variations in pricing. Customers require a simple method of predicting future demand in terms of the number of nodes to be allocated in the cloud environment. In this paper, we review and discuss existing methodologies for estimating the demand for cloud nodes and their corresponding pricing policies. Based on our review, we propose a novel approach using the Hidden Markov Model to estimate the acquisition of cloud nodes.