Land changes detection on Rote Island using harmonic modelling method

Rote Island is one of the islands in East Nusa Tenggara. In this island, land changes occur significantly. This land changes can be detected by Landsat images. These images are obtained from the big data engine. The big data engine used is the Google Earth Engine. This study aimed to detect land changes with harmonic modelling using multitemporal Landsat images from the big data engine. Harmonic modelling is used in monitoring changes in Normalized Difference Vegetation Index values in a multitemporal manner from Landsat images. Processing is done using the Geomatics approach. Land changes on Rote Island generally occur on coastal and savanna. Land changes on land generally have vertical deformation on its movement and horizontal on the savanna. The land changes accuracy result is 95% in 1,96σ. This method can be used for rapid mapping of land changes monitoring

Comprehensive integration system of saltwater environment on Rote Island using a multidisciplinary approach

Rote Island is one of the islands in southern of Indonesia. This region experiences very high geological and geodynamic processes. This is evidenced by the abundance of seabed rising, and there is a dead sea lake area that has a higher salinity than the sea. Biodiversity on Rote Island has endemic and unique flora and fauna. This study aims to create an integrated system of inland waters resources on Rote Island with a multidisciplinary approach. Inland water resources on Rote Island number more than 80 lakes and ponds. An inland water resource on Rote Island is a saltwater environment. The extraction of geobiophysical information on inland water resources is needed by studying various aspects of multidisciplinary. The aspects studied are limnology, water quality, conservation of forest resources, geology, geodynamics, water resources, geodesy and geomatics engineering. All geobiophysical information needs to be integrated into an integration system. This is useful for efficiency and effectiveness in the utilization of data and information. This integration system (geovisualization) is in the form of WebGIS and storytelling maps. This integration system is dynamic so it can update its latest spatial information. This integration system can be used to promote Rote island tourism. This integration system can be accessed via the website geopark4rote.com. This integration system can be applied in other regions so reached one map policy and a system for inland water resources will be realized in Indonesia

Dimensionality of Carbon Nanomaterials Determines the Binding and Dynamics of Amyloidogenic Peptides: Multiscale Theoretical Simulations

Experimental studies have demonstrated that nanoparticles can affect the rate of protein self-assembly, possibly interfering with the development of protein misfolding diseases such as Alzheimer's, Parkinson's and prion disease caused by aggregation and fibril formation of amyloid-prone proteins. We employ classical molecular dynamics simulations and large-scale density functional theory calculations to investigate the effects of nanomaterials on the structure, dynamics and binding of an amyloidogenic peptide apoC-II(60-70). We show that the binding affinity of this peptide to carbonaceous nanomaterials such as C60, nanotubes and graphene decreases with increasing nanoparticle curvature. Strong binding is facilitated by the large contact area available for π-stacking between the aromatic residues of the peptide and the extended surfaces of graphene and the nanotube. The highly curved fullerene surface exhibits reduced efficiency for π-stacking but promotes increased peptide dynamics. We postulate that the increase in conformational dynamics of the amyloid peptide can be unfavorable for the formation of fibril competent structures. In contrast, extended fibril forming peptide conformations are promoted by the nanotube and graphene surfaces which can provide a template for fibril-growth

The experiential aspect of rural home-stay among Chinese and Malay students using diary method

Tourism involving home-stays is one of the Malaysian government's key efforts to diversify its cultural tourism product. Tourists to the programme are adopted by their foster families experience a more traditional life in Malay villages. Using a diary method, this study examines the experiential aspects of home-stay holidays among domestic students in Kampung Lonek. A total of 19 diaries were content-analyzed using NVivo, which is a qualitative data analysis (QDA) computer software package produced by QSR International. Based on the findings, the home-stay experiential model is developed which explains the different phases of travel experience and their components. The on-site experience reveals three distinct dimensions: ‘environmental experience’, ‘activity, culture and knowledge experience’ and ‘human interaction experience’. The study discusses the differences between Chinese and Malay students in their home-stay experience. The article highlights its methodological, theoretical and managerial contributions