Potential In Different Areas Research Articles

Advancements in Colloidosome Fabrication, Functionalization, and Applications: A Comprehensive Review

Abstract: Among the recent developments in the field of microcapsules, colloidosomes microcapsules made of colloidal particles have elicited much interest in promising perspectives in microencapsulation technologies. First reported by Dinsmore et al., these structures hold a lot of potential in different areas of application, which include gene delivery, targeting the brain, and tumor treatment. However, the challenges associated with their permeability and stability limit the use of these coatings. Nevertheless, these problems define colloidosomes as possessing some features of protocells that include metabolic activities and response to stimuli, which make them significant in synthetic biology and biomimetic systems. In drug delivery, colloidosomes have the potential of providing solubility, stability, and a controlled rate of drug release, which will have an impact on the therapeutic use of drugs. Fabrication of colloidosomes is done in many ways, and the common ones include the mulsion strategy, layer adsorption, and microfluidics strategy. Some of these fabrication techniques have been investigated in the recent past to determine how their application can lead to enhanced colloidosome characteristics. Some of these methods include spray drying, sol-gel processes, and electrostatic assembly. For example, the study by Payizila Zulipiker et al. showed that different levels of permeability are controllable through the use of spray drying technology. Another study by Jia Jia et al. presented the preparation of pH-responsive colloidosomes and the high efficiency of encapsulation. Consequently, improvements in the manufacturing process and new self-assembly technologies that include microfluidics systems have also improved the creation of colloidosomes. New advancements in the field of colloidosome synthesis, as well as their surface modification, will open up numerous application prospects in the fields of pharmaceutics, regenerative medicine, and bioinspired materials science. New trends range from 3D printing to stimuli-responsive materials and design, as well as hybrid systems that are application- specific. Despite the difficulties that remain to be faced, colloidosomes represent an extraordinary opportunity for the growth of biotechnology and materials science to open the path to new generations of drugs and bioinspired applications.

Effects of land use/cover changes on soil organic carbon stocks in Qinghai-Tibet plateau: A comparative analysis of different ecological functional areas based on machine learning methods and soil carbon pool data

Understanding the process of land use/cover changes (LUCC) can provide experience on the enhancement of soil organic carbon (SOC) stocks and carbon sequestration potential for different areas. This study is uniquely to divide different ecological functional areas, and originally combine the machine learning method and soil carbon pool dataset for regional comparative analysis, to compare and quantitatively analyze the drivers of LUCC and the changes in SOC stocks effected by LUCC over 30 years. The results show that topography and climate changes are the main drivers affecting LUCC in four natural areas, while soil factors and population changes do not cause significant effects. The total SOC stocks in Qinghai was increased by 71.18 Tg C and 107.19 Tg C in 0–30 cm and 0–300 cm layers, respectively, and the highest SOC stocks within 0–300 cm were in Pastoral area. Desert and Gobi area had the lowest SOC stocks in both 0–30 cm and 0–300 cm layers. SOC stocks increased in both 0–30 cm and 0–300 cm layers only in Sanjiangyuan Natural Reserve, while the Desert and Gobi area showed a decrease in both over 30 years. This study emphasizes the significant impact of grassland changes on SOC stocks, indicating the importance of considering these changes in land management and ecological protection policies. The initial and original SOC stocks of pre-LUCC may influence the SOC stocks in post-LUCC. The response of SOC stocks changes to LUCC was varies in different areas. The heterogeneity of different ecological functional areas is affected by multiple factors and SOC stocks will become more complex among these areas in the future. These findings contribute to the development of ecological protection policies and the enhancement of regional land management strategies.

FACTOR ANALYSIS AS A METHOD OF URBAN LAND USE RESEARCH

Cities are being rebuilt, expanded, and modernized, and proper land management becomes critical. Factor analysis can help identify areas in need of social investment, ensuring equal access to resources and opportunities for all citizens. Therefore, the relevance of factor analysis in the study of land use in modern conditions does not require discussion. Factor analysis is a statistical method that allows you to study the relationship between numerous variables and reveal the structural features of the data. The importance of the application of factor analysis in the processes of monitoring the use of land in cities lies in the heavy load on the land resources of cities, which requires informed decisions regarding their use. Factor analysis allows identify key factors affecting land use, understand the community's priorities and needs, evaluate the potential of different areas of the city for the placement of objects. Factor analysis also has its advantages and disadvantages. Disadvantages include: subjectivity (since some factors can be subjectively determined, there is a risk of data distortion or misinterpretation), dynamism (cities are dynamic systems. This means that they are constantly changing, and factors that were relevant today may lose their relevance tomorrow), complexity of interpretation (a large number of factors can complicate the process of interpreting the results). Positive aspects of factor analysis should be noted: continuous updating of data (aimed at collecting and obtaining the most recent data for accurate response and development of appropriate solutions), integrating different data sources (which is a combination of traditional and new data sources such as social networks, can help to get a more complete picture of the situation), the use of a multidisciplinary approach (which allows the involvement of experts from various fields and will provide a deeper understanding of the city's problems and needs). Thus, factor analysis in urban planning remains one of the most effective tools for understanding complex relationships in the city. To get the most complete picture of the situation, factor analysis is often combined with other research methods. One example is geographic information systems (GIS). They allow you to visualize the results of factor analysis on maps, which simplifies the decision-making process at the level of urban planning. Keywords: spatial support, land use factors, methods of factor analysis, geospatial data, planning parameters.

Location Selection Models for Apartment Project Development by the Modified Analytic Hierarchy Process

Apartments are rental housing that grows in line with the demand for habitats, both from the increase in the population and the relocation of residence for work and study. The right location selection for the development of a rental residential project is an important factor that a project developer must decide before actualizing a project since it is a factor that is tied to the location of the land and the surrounding environments. This research aimed to develop the models for the location selection for apartment development, by using the Modified Analytic Hierarchy Process. This was done by collecting the data from 150 samples of apartment rental business entrepreneurs from five different areas, 30 from each. The data were then analyzed using the Modified Analytic Hierarchy Process to compare the importance of the main and sub-criteria using the pairwise comparison. The results showed that the transportation criterion was the most important criterion for developing apartment projects in almost all areas of Bangkok, except for the Thonburi area, in which the entrepreneurs are most concerned about the daily-life facilities, as well as the Eastern Bangkok area that weighs the utmost importance to the source of workplaces. Apartment developers or those who are interested in investing in such rental projects can use this model to assess the potential of different areas for analyze and compare for the precise select of the potential location to be developed as an apartment project.

Multifactorial Analysis to Determine the Applicability of Wind Power Technologies in Favorable Areas of the Colombian Territory

Colombia has an energy matrix that is mostly hydroelectric and includes renewable energies such as wind power, which represents a minor contribution. The only operational wind farm is in the northern part of the country, where more projects will be implemented in the future in search of increasing the installed capacity and electricity generation. However, the wind potential and behavior of other areas of the national territory have been little reviewed. The most recommended method to characterize the potential in different areas of Colombia is to use real data, generating vertical extrapolations and respecting the good practices of the wind industry. The foregoing not only allows the generation of statistical and descriptive characterizations but also, together with the climatological, geographical, and technological variables (turbines), an estimate of the generable energy that can be obtained. In the described study, we applied specialized software to generate a rating matrix, from which it was possible to issue an opinion on five possible locations obtained from the theoretical development of micrositing, where 14 factors were reviewed. There is no published research of this nature for the country, so it is relevant in terms of novelty. Finally, it can be concluded that in Colombia, the wind potential should not be associated with a specific region, since there are data throughout the territory where this type of research can be replicated.

Reviewing the correlation potential of Spectral Gamma Ray: a case study in Ordovician glacial environments in the Murzuq basin, SW Libya

The deposits of the Late Ordovician glaciation have been the focus of several studies in recent years reflecting significant hydrocarbon reservoir potential in different areas of the world, most notably in Libya and Algeria but also in Saudi Arabia and Bolivia. The study area for this paper is located within the Murzuq Basin of SW Libya. This study aims to evaluate the potential of Spectral Gamma Ray, integrated with other datasets (geochemical data, core descriptions and Micro-resistivity Images) to enhance correlation in glacial reservoirs where biostratigraphy cannot be applied and conventional logs lack resolution or consistency. The methodology chosen correlates the SGR logs and elemental ratios in wells with geochemical and sedimentological data to understand possible relationships between Th, U, K and depositional environments. Subsequently, this tool is used to analyse wells for which no detailed sedimentological data is available to understand the spatial configuration of depositional environments, correlation and thus, reservoir potential across the study area. The study demonstrates how the use of the SGR ratios can be useful as a correlation tool, how Th/U varies with distance from the sediment source area; but also highlights that whilst SGR ratios are not able to consistently discriminate between individual facies associations, given the large standard deviations, they are nonetheless very useful as general predictors of broad depositional. Additionally, a review of possible sources for the Th and U is provided together with some conclusions aimed at improving the understanding of the architecture of the glacial sediments.

DEVELOPMENT OF SPATIAL DECISION SUPPORT SYSTEMS (SDSS) USING GIS TECHNIQUES IN WALNUT (Junglas regia L.) CULTIVATION: VAN-ÇATAK (TURKEY) CASE

This study was carried out to determine the areas where walnut (Junglas regia L.), which is grown in different ecological conditions of the world and Anatolia and provides significant added value to the economy of the region and the country, can be grown within the borders of Çatak (Van) district by using GIS. Within the scope of the study, certain data sets were created by taking into account the factors affecting the cultivation of walnuts, previous studies and expert opinions in determining the optimum areas where walnuts can grow in Çatak district. These data sets were combined with the necessary elements in the raster thematic maps and climatic vector maps (E00 maps with the e-high curve) and then they transferred into the database. All the obtained data were compared with each other by using GIS software and the areas where walnut could grow were determined. Due to the topographic structure of Çatak district, it has been concluded that walnut can be grown in valleys, slopes and floors where the altitude and slope are relatively low, but it will not be suitable for cultivation in mountainous areas. Thanks to this study, it will be used both in revealing the agricultural potential of different areas where walnut orchards can be established in Çatak (Van-Turkey) district and it will be also used in managing information based on locations.

One Step Production of Silver-Copper (AgCu) Nanoparticles

AgCu nanoparticles were prepared through hydrogen-reduction-assisted Ultrasonic Spray Pyrolysis (USP) and the Hydrogen Reduction (HR) method. The changes in the morphology and crystal structure of nanoparticles were studied using different concentrated precursors. The structure and morphology of the mixed crystalline particles were characterized through X-ray diffraction analysis (XRD), scanning electron microscopy (FEG-SEM), transmission electron microscopy (TEM) and Energy-dispersive X-ray spectroscopy (EDS). The average particle size decreased from 364 nm to 224 nm by reducing the initial solution concentration from 0.05 M to 0.4 M. These results indicate that the increase in concentration also increases the grain size. Antibacterial properties of nanoparticles against Escherichia coli were investigated. The obtained results indicate that produced particles show antibacterial activity (100%). The AgCu nanoparticles have the usage potential in different areas of the industry.

A Survey Paper on Breast Cancer Detection using Big data

Breast malignancy is the second reason for death among ladies. Early recognition followed by proper malignant growth treatment can lessen the savage danger. It is a genetic sickness and doesn't result from a solitary reason. The analysis of malignancy begins with a biopsy. A computer-aided diagnosis (CAD) framework dependent on mammograms empowers early bosom malignant growth location, finding, and treatment. Be that as it may, the precision of existing CAD frameworks remains unsatisfactory[2]. Different techniques are utilized to identify and perceive malignant growth cells, from minute pictures and mammography to ultrasonography and magnetic resonance images (MRI). In the current examination, Extreme Learning Machine (ELM) order was performed for 9 highlights dependent on picture division in the Breast Cancer Wisconsin (Diagnostic) informational index in the UC Irvine Machine Learning Repository information base. Enormous Data innovation is utilized to examine these datasets in an information base for exact investigation and location of amiable and threatening bosom masses. Broad trials show the precision and efciency of our proposed mass recognition and bosom malignancy classication technique. With the sheer size of information accessible today, large information brings huge chances and extraordinary potential for different areas; then again, it likewise presents exceptional difficulties to outfitting information and information[3].

Landscape approach to assessing recreational development of the Novgorod region

The development of tourism in areas related to socio-economic semi-periphery and periphery is one of the important tasks of the integrated development of the region. Geographic research is needed to assess the potential of different areas. The article proposes a methodology and presents the experience of assessing the development of the territory of the Novgorod region from the point of view of the landscape approach. Based on the assessment, areas with varying levels of development are identified, an analysis of the transport accessibility and tourist attractiveness of each landscape is given, and promising types of recreational activities are proposed.

Drought hazard depending on elevation and precipitation in Lorestan, Iran

Drought is a type of destructive hydro-climatic disaster that has a significant impact on agriculture and natural resources. Meteorological drought features, including severity, duration, and peak, exhibit various patterns in different climatic regions and geographical conditions. Several indices have been developed to assess the drought potential of different areas across the world, among which the drought hazard index (DHI) is one of the most commonly employed for semi-arid and the flat regions. This study investigates the effects of the elevation and precipitation on DHI, which has received little attention in previous studies. For this purpose, DHIs were computed for 15 stations located at different elevations of the study area over 31 years by considering the occurrence of various drought classes with different weights. The results showed that the elevation and mean precipitation both have inverse effects on the DHI in the study area, which means that the DHI increases when the elevation and mean precipitation are low. The results of the estimation of the DHI for three different periods (i.e., 6, 9, and 12 months) revealed that a 9-month period is optimum for DHI estimations in terms of the reliability of the results.

Novel Strategy for One-Step Production of Attenuated Ag-Containing AgCu/ZnO Antibacterial-Antifungal Nanocomposite Particles

Novel strategies have been developed to comply with Registration, Evaluation, Authorization, and Restriction of Chemicals (REACH) regulations to provide the same performances for antibacterial and antifungal materials. The strategy for producing composite materials by attenuating the silver (Ag) content and a one-step production technique without minimizing the antibacterial and antifungal performance was developed. In this study, attenuated spherical Ag containing spherical AgCu/ZnO nanocomposite particles have been synthesized from an aqueous solution of silver nitrate (AgNO3), copper nitrate (Cu(NO3)2 · 3H2O), and zinc nitrate (Zn(NO3)2 · 7H2O) by a facile one-step ultrasonic spray pyrolysis and hydrogen reduction (USP-HR) method. Characterization of AgCu/ZnO nanocomposite particles was carried out by various techniques such as X-ray diffraction analysis (XRD), scanning electron microscopy (FEG-SEM), energy dispersive spectroscopy (EDS), and transmission electron microscopy (TEM). The structural analysis showed that AgCu/ZnO nanocomposites were composed of face-centered cubic Ag, face-centered cubic Cu, and hexagonal ZnO phases. Antibacterial and antifungal properties of nanocomposite particles against Escherichia coli and Aspergillus niger were investigated by agar medium and broth medium methods. The obtained results indicate that produced nanocomposite particles possess antibacterial and antifungal properties (100%). The attenuated Ag in the AgCu/ZnO nanocomposite particles has the usage potential in different areas of the textile industry. In particular, the research on utilizing this nanocomposite in hand-made fiber production as an additive is of very high interest.

Active Ageing Index in Russia - Identifying Determinants for Inequality

This paper is aimed at the development of a tool analysing the AAI results for the Russian older citizens from different population groups, as well as at identifying factors underlying the inequalities in active ageing outcomes by calculation the AAI on the national and individual levels. The adaptation of the methodology of the AAI to the individual-level data and the limitations of the approach are explicitly explained. The older generations of Russia show relatively high levels of education, financial security and engagement in family care, especially in the care to children. The most significant potential for development have employment, volunteering, political engagement, physical activity, lifelong learning and use of the Internet. The calculation of the AAI at the individual level has revealed significant inequalities in the degree of realisation of potential in different areas of active ageing. The results of the project provide scientific evidence for the implementation of policy measures in the target groups. The high correlation of the index values with human capital indicators (health and education) underlines the importance of the early interventions aimed at promoting and supporting human capital at the earlier stages of the life course till the old age. The substantial positive connection of employment with other forms of activity stresses the necessity of developing a package of activation policy measures aimed at the retention of older adults in the labour market. At the same time, the statistical analysis showed the absence of a “dilemma of choice” between certain types of activity of the older generation, for example, between caring for grandchildren and employment, or employment and volunteering - the potential in different areas may be increased simultaneously.

Magnetic nanocomposite with fluorescence enhancement effect based on amino acid coated-Fe3O4 functionalized with quantum dots

Multifunctional nanoparticles with magnetic and fluorescent properties have high potential in different areas. A very attractive feature of these nanoparticles is that they can be controlled by an external magnetic field and monitored by fluorescence. For biological applications, the magnetic nanoparticles (MNPs) must be biocompatible and dispersible in water, which requires surface modification. This paper describes the synthesis of Fe3O4 MNPs modified with three amino acids (AA): L-Tryptophan (Trp), l-Phenylalanine (Phe) and l-Tyrosine (Tyr) by a co-precipitation method in a one-step reaction without the use of a spacer agent. The potential of AA as a robust anchor was assessed by binding mercaptopropionic acid (MPA)-coated CdTe quantum dots (QDs) to Fe3O4@AA nanoparticles, leading to a hybrid nanostructure with excellent fluorescent and magnetic properties. In particular, the Fe3O4@Trp@QDs nanocomposite showed a fluorescence enhancement effect due to Förster resonance energy transfer (FRET) from Trp as energy donor to CdTe@QDs as acceptor. The nanomaterials were characterized by high-resolution transmission electron microscopy (TEM), X-Ray diffraction (XRD), zeta potential, thermogravimetric analysis (TGA), vibrating sample magnetometer (VSM), Fourier-transform infrared (FT-IR), UV–visible, and fluorescence spectroscopy. The nanocomposite also presents high stability and good dispersibility in water. This nanomaterial may be potentially used in different biomedical and environmental applications.

Multi-view 3D face reconstruction with deep recurrent neural networks

Image-based 3D face reconstruction has great potential in different areas, such as facial recognition, facial analysis, and facial animation. Due to the variations in image quality, single-image-based 3D face reconstruction might not be sufficient to accurately reconstruct a 3D face. To overcome this limitation, multi-view 3D face reconstruction uses multiple images of the same subject and aggregates complementary information for better accuracy. Though appealing, there are multiple challenges in practice. Among these challenges, the most significant is the difficulty to establish coherent and accurate correspondence among a set of images, especially when these images are captured under unconstrained in-the-wild condition. This work proposes a method, Deep Recurrent 3D FAce Reconstruction (DRFAR), to solve the task of multi-view 3D face reconstruction using a subspace representation of the 3D facial shape and a deep recurrent neural network that consists of both a deep convolutional neural network (DCNN) and a recurrent neural network (RNN). The DCNN disentangles the facial identity and the facial expression components for each single image independently, while the RNN fuses identity-related features from the DCNN and aggregates the identity specific contextual information, or the identity signal, from the whole set of images to estimate the facial identity parameter, which is robust to variations in image quality and is consistent over the whole set of images. Experimental results indicate significant improvement over state-of-the-art in both the accuracy and the consistency of 3D face reconstruction. Moreover, face recognition results on IJB-A with the UR2D face recognition pipeline indicate that, compared to single-view 3D face reconstruction, the proposed multi-view 3D face reconstruction algorithm can improve the face identification accuracy of UR2D by two percentage points in Rank-1 identification rate.

Reversible Negative Resistive Switching in an Individual Fe@Al2O3 Hybrid Nanotube for Nonvolatile Memory.

Hybrid nanostructures can show enormous potential in different areas because of their unique structural configurations. Herein, Fe@Al2O3 hybrid nanotubes are constructed via a homogeneous coprecipitation method followed by subsequent annealing in a reducing atmosphere. The introduction of zero band gap Fe nanocrystals in the wall of ultrawide band gap Al2O3 insulator nanotubes results in the formation of charge trap centers, and correspondingly a single hybrid nanotube-based two-terminal device can show reversible negative resistive switching (RS) characteristics with symmetrical negative differential resistance (NDR) at relatively high operation bias voltages. At a large bias voltage, holes and electrons can be injected into traps at two ends from electrodes, respectively, and then captured. The bias voltage dependence of asymmetrical filling of charges can lead to a reversible variation of built-in electromotive force, and therefore the symmetrical negative RS with NDR arises from two reversible back-to-back series bipolar RS. At a low readout voltage, the single Fe@Al2O3 hybrid nanotube can show an excellent nonvolatile memory feature with a relatively large switching ratio of ∼30. The bias-governed reversible negative RS with superior stability, reversibility, nondestructive readout, and remarkable cycle performance makes it a potential candidate in next-generation erasable nonvolatile resistive random access memories.

Chitinases as Antibacterial Proteins: A Systematic Review

Chitinases are hydrolases that catalyze the cleavage of the β-1,4-Oglycosidic linkages in chitin, a polysaccharide abundantly found in nature. Chitin is an important structural component of the cell wall of most fungi and the exoskeleton of arthropods, including insects and crustaceans. These enzymes are widespread in the living world, being found in organisms from all three domains of life. Due to their hydrolytic activity on chitin, chitinases have great biotechnological potential in different areas, such as human health, agriculture and food technology. The antifungal, insecticidal and nematicidal effects of many chitinases have been intensively investigated in the scientific literature, aiming to exploit these properties to protect crops against phytopathogenic fungi and insect pests and parasitic nematodes. On the other hand, the effects of chitinases on bacteria have been underexploited, possibly because chitin is not present in bacterial cell walls. The aim of this study was to search the scientific literature for works describing chitinases with antibacterial activity. Three bibliographic databases were searched using the keywords “chitinase” and “antibacterial” as descriptors and the chosen articles were selected according to specific inclusion and exclusion criteria. As a result, we identified only 5 reports wherein 6 purified chitinases have been shown experimentally to have antibacterial activity. Three out of these 6 antibacterial chitinases were shown to be bifunctional enzymes, which have chitinase and lysozyme activity. The possible mechanism of action of these antibacterial chitinases is discussed, highlighting their potential as antibacterial agents. Key-words: Antimicrobial, Chitin, Lysozyme, Peptidoglycan, Hydrolases.

A pan-European model of landscape potential to support natural pest control services

Pest control by natural enemies (natural pest control) is an important regulating ecosystem service with significant implications for the sustainability of agro-ecosystems. The presence of semi-natural habitats and landscape heterogeneity are key determinants of the delivery of this service. However, to date, synthetic and consistent indicators at large scales are lacking. We developed a pan-European, spatially-explicit model to map and assess the landscape potential to sustain natural pest control. The model considers landscape composition in terms of semi-natural habitats types, abundance, spatial configuration and distance from the focal field. It combines recent high-resolution geospatial layers with empirical results from extensive field surveys measuring the specific contribution of different semi-natural habitats to support insects flying enemies providing natural pest control. The resulting maps facilitate a comparison of the relative biological control potential of different areas and show that currently a large proportion of high-productive agricultural areas in Europe has low potential. The obtained indicator can inform the formulation of policies and planning strategies aimed at increasing biodiversity and ecosystem services and can be used to assess trade-offs between different services. Potential fields of application include the Common Agricultural Policy and the EU Biodiversity Strategy, in particular the implementation of Green Infrastructure.

Anton Ažbe’s pedagogical method’s influence on the stylistic development of Russian Empire painting in the late XIX — early XX century

Anton Ažbe, a Slovenian artist and teacher, at 1891 opened a famous private art school in Munich, which attracted lot of young artists from all world during fourteen years. Ažbe’s pedagogical method played an important role in the stylistic development of Eastern Europe and Russian art in the late XIX ― early XX century. Due to the successful combination of openness to new ideas and the presence of a strong technical base, Ažbe’s pedagogical method developed individual creative inclinations of students, who were able to realize their potential in different areas of Avant-garde. The objective of this article is to show on concrete examples the Ažbe’s pedagogical method’s infl uence on the art’ stylistic development of his students from the Russian Empire ― natives of various national painting schools.

Determining Banjar Boundary and Tourism Planning using Participatory Mapping (Case Study in Pesinggahan Village, Klungkung Regency, Bali, Indonesia)

Banjar is a legal community unity that has territorial boundaries based on origin and customs in Bali. Banjar is the smallest administrative area in Bali Province, Indonesia. Pesinggahan village located in Dawan Sub-district of Klungkung Regency, Bali, Indonesia which consists of five banjar and each has the potential of different areas. Pesinggahan village also established into a ritual village and has tourist attractions such as Goa Lawah and unique landscape oh Subak’s ricefields. The tourism in Pesinggahan village has not yet develop due to lack of spatial planning that accommodate the tourism development.The purpose of this research is to determine the banjar boundary in Pesinggahan village and to analyse the tourism development plan using participatory mapping. The Pesinggahan Village is consists of five banjar consist of Banjar Kanginan, Banjar Sukahati, Banjar Suwitrayasa, Banjar Belatung, Banjar Pundukdawa. Tourism area in Pesinggahan Village is Goa Lawah in Banjar Kanginan and Agricultural Land in Subak Pesinggahan in Banjar Suwitrayasa. Boundary Analysis of Villages and Banjar with spatial plan regulation of Klungkung Regency results that the Pesinggahan village are divide into Food Crop Agriculture Zone, Dryland Plantation Zone, Green Open Space and Residential Zone. Participatory mapping process produce several locations of tourism development planning such as homestay area, restaurant, road development around Goa Lawah tourism object, and planning of jogging track, cycling track, farm road, fishing pond, and restaurant around Subak Pesinggahan. Tourism development are located in accordance with zoning allotment of Pesinggahan village that is consists of zone of settlement, agriculture and green open space.