Prehistoric Architecture : A Study of House Types in the Ohio Valley

Author Institution: Curator of Archaeology, Professor of Anthropology, The Ohio Historical Society, Columbus 43211, and The Ohio State University, Columbus 4321

Spatial decision support system for coastal flood management in Victoria, Australia

Coastal climate impact can affect coastal areas in a variety of ways, such as flooding, storm surges, reduction in beach sands and increased beach erosion. While each of these can have major impacts on the operation of coastal drainage systems, this thesis focuses on coastal and riverine flooding in coastal areas. Coastal flood risk varies within Australia, with the northern parts in the cyclone belt most affected and high levels of risk similar to other Asian countries. However, in Australia, the responsibility for managing coastal areas is shared between the Commonwealth government, Australian states and territories, and local governments. Strategies for floodplain management to reduce and control flooding are best implemented at the land use planning stage. Local governments make local decisions about coastal flood risk management through the assessment and approval of planning permit applications. Statutory planning by local government is informed by policies related to coastal flooding and coastal erosion, advice from government departments, agencies, experts and local community experts. The West Gippsland Catchment Management Authority (WGCMA) works with local communities, Victorian State Emergency Services (VCSES), local government authorities (LGAs), and other local organizations to prepare the West Gippsland Flood Management Strategy (WGFMS). The strategy aims at identifying significant flood risks, mitigating those risks, and establishing a set of priorities for implementation of the strategy over a ten-year period. The Bass Coast Shire Council (BCSC) region has experienced significant flooding over the last few decades, causing the closure of roads, landslides and erosion. Wonthaggi was particularly affected during this period with roads were flooded causing the northern part of the city of Wonthaggi to be closed in the worst cases. Climate change and increased exposure through the growth of urban population have dramatically increased the frequency and the severity of flood events on human populations. Traditionally, while GIS has provided spatial data management, it has had limitations in modelling capability to solve complex hydrology problems such as flood events. Therefore, it has not been relied upon by decision-makers in the coastal management sector. Functionality improvements are therefore required to improve the processing or analytical capabilities of GIS in hydrology to provide more certainty for decision-makers. This research shows how the spatial data (LiDAR, Road, building, aerial photo) can be primarily processed by GIS and how by adopting the spatial analysis routines associated with hydrology these problems can be overcome. The aim of this research is to refine GIS-embedded hydrological modelling so they can be used to help communities better understand their exposure to flood risk and give them more control about how to adapt and respond. The research develops a new Spatial Decision Support System (SDSS) to improve the implementation of coastal flooding risk assessment and management in Victoria, Australia. It is a solution integrating a range of approaches including, Light Detection and Ranging (Rata et al., 2014), GIS (Petroselli and sensing, 2012), hydrological models, numerical models, flood risk modelling, and multi-criteria techniques. Bass Coast Shire Council is an interesting study region for coastal flooding as it involves (i) a high rainfall area, (ii) and a major river meeting coastal area affected by storm surges, with frequent flooding of urban areas. Also, very high-quality Digital Elevation Model (DEM) data is available from the Victorian Government to support first-pass screening of coastal risks from flooding. The methods include using advanced GIS hydrology modelling and LiDAR digital elevation data to determine surface runoff to evaluate the flood risk for BCSC. This methodology addresses the limitations in flood hazard modelling mentioned above and gives a logical basis to estimate tidal impacts on flooding, and the impact and changes in atmospheric conditions, including precipitation and sea levels. This study examines how GIS hydrological modelling and LiDAR digital elevation data can be used to map and visualise flood risk in coastal built-up areas in BCSC. While this kind of visualisation is often used for the assessment of flood impacts to infrastructure risk, it has not been utilized in the BCSC. Previous research identified terrestrial areas at risk of flooding using a conceptual hydrological model (Pourali et al., 2014b) that models the flood-risk regions and provides flooding extent maps for the BCSC. It examined the consequences of various components influencing flooding for use in creating a framework to manage flood risk. The BCSC has recognised the benefits of combining these techniques that allow them to analyse data, deal with the problems, create intuitive visualization methods, and make decisions about addressing flood risk. The SDSS involves a GIS-embedded hydrological model that interlinks data integration and processing systems that interact through a linear cascade. Each stage of the cascade produces results which are input into the next model in a modelling chain hierarchy. The output involves GIS-based hydrological modelling to improve the implementation of coastal flood risk management plans developed by local governments. The SDSS also derives a set of Coastal Climate Change (CCC) flood risk assessment parameters (performance indicators), such as land use, settlement, infrastructure and other relevant indicators for coastal and bayside ecosystems. By adopting the SDSS, coastal managers will be able to systematically compare alternative coastal flood-risk management plans and make decisions about the most appropriate option. By integrating relevant models within a structured framework, the system will promote transparency of policy development and flood risk management. This thesis focuses on extending the spatial data handling capability of GIS to integrate climatic and other spatial data to help local governments with coastal exposure develop programs to adapt to climate change. The SDSS will assist planners to prepare for changing climate conditions. BCSC is a municipal government body with a coastal boundary and has assisted in the development and testing of the SDSS and derived many benefits from using the SDSS developed as a result of this research. Local governments at risk of coastal flooding that use the SDSS can use the Google Earth data sharing tool to determine appropriate land use controls to manage long-term flood risk to human settlement. The present research describes an attempt to develop a Spatial Decision Support System (SDSS) to aid decision makers to identify the proper location of new settlements where additional land development could be located based on decision rules. Also presented is an online decision-support tool that all stakeholders can use to share the results

Hopewellian Dogs

Author Institution: The Ohio State Museum, Columbus 1

Customer Churn Prediction Model Using Artificial Neural Networks (ANN): A Case Study in Banking

Customer Churn has a great impact on banking industries as it accelerates a loss of revenue and customer loyalty. The focus of the research is to create a model for the banking sector using Artificial Neural Networks (ANNs) which can predict if the customer will churn. The prediction is based on the input features and the independent variable of the trained dataset. The hyperparameters are altered during model training using the forward propagation algorithm and cross-validation techniques which enable the model to perform well with respect to accuracy and precision rate. The achieved results illustrate that the suggested model has an accuracy of 86% at predicting customer attrition. In comparison to the logistic regression model outcomes, ANN models are more effective for predicting customer churn in the banking industry. The study suggests vital perceptions of how to employ machine learning approaches to increase client retention and decrease customer churn. Banks can use this model to spot clients who are at risk of churning and take proactive measures to keep them

Pengaruh Kualitas Pelayanan Bpjs Kesehatan terhadap Kepuasan Pengguna Perspektif Dokter Rumah Sakit Hermina Bogor

The study aimed to analyze the perceptions of the doctors of Hermina Hospital Bogor on BPJS health service quality and satisfaction level of the national health insurance program and to analyze the effects of service quality on the doctors\u27 satisfaction. Questionnaires were utilized to obtain the primary data, while literature reviews were conducted to obtain the secondary data. The data were analyzed by using descriptive analysis and multiple regression analysis. The results of this research, in reference to the descriptive analysis of the perceptions of the doctors in Hermina Hospital Bogor on satisfaction and quality service of the National Health Insurance program, indicated that the program is considered unsuitable in its implementation. The results of multiple regression showed that the variables of BPJS service quality have influences on the satisfaction of the doctors of Hermina Hospital Bogor. Keywords: health service quality, satisfaction, hospita

COMPARATIVE DOCKING STUDIES ON THE EFFECT OF COMMERCIAL DRUGS ON DIPEPTIDYL PEPTIDASE-4 (DPP-4)

Objective: The aim of our study was to validate the accuracy of computational tools in drug discovery and molecular interaction studies by studying the inhibitory activity of various commercial drugs on DPP-4.Methods: In order to validate the accuracy of computational tools, 50 commercially available drugs were docked with DPP-4, a major target for type 2 diabetes treatment. Studies were performed using Discovery studio 3.5.Results: The analysis showed that out of the fifty selected drugs, 33 drugs passed the Lipinski's rule and commercially prescribed drugs namely Sulfonylurea, Pregabalin and Metaformin were found to have maximum interaction with the target.Conclusion: These major drugs which yielded the best results were found to be used in the treatment of diabetes which reconfirms the efficacy of these drugs, druggability of the target as well as the accuracy of the tool used

Pengaruh Literasi Keuangan terhadap Kinerja UMKM

Penelitian ini menggunakan metode kuantitatif dengan jenis penelitian deskriptif . Pengambilan sampel dilakukan dengan metode non-probability sampling jenis sampling jenuh, dengan jumlah responden yang diteliti sebanyak 35 orang. Berdasarkan hasil pengujian hipotesis, literasi keuangan berpengaruh terhadap kinerja. Hal ini dibuktikan dengan t-hitung lebih besar daripada t-hitung (5,725>2,035) dengan tingkat signifikansi 0,05. Berdasarkan hasil penelitian koefisien determinasi, literasi keuangan berpengaruh secara signifikan terhadap kinerja sebesar 49,8% sedangkan 50,2% dipengaruhi oleh faktor lain yang tidak diteliti dalam penelitian ini. literasi keuangan pada UMKM anggota binaan PPKM untuk wilayah Rancaekek dan Cileunyi termasuk dalam kategori tidak baik. Hal ini perlu terus dikelola dan ditingkatkan agar dapat membantu UMKM dalam meningkatkan profitabilitas. &nbsp

Review on investigation of corrosion behavior of reinforced concrete with supplementary cementitious materials

Cement concrete is the most widely used material for various constructions. Properly designed and prepared concrete results in good strength and durability. Sometime these mixes are found to be inadequate, hence variety of admixtures are used along with cement. A certain percentage of cement will be replaced separately with metakaolin and silica fumes. Hence the flexural strength test of concrete and evaluation of corrosion behavior of the reinforcement can be performed. The study of flexural property of concrete will be conducted at 7 or 28 days characteristic strength with different replacement level of cement (i.e.0%, 5%, 10%, 15%, 20%). Corrosion behavior of reinforcement will be evaluated based on half-cell potential. Concrete samples will be cured in either fresh water of 4% NaCl saline water for 7 or 28 days of curing period. We assumed that the addition of silica fumes and metakaolin will improve the flexural strength characteristics of concrete and corrosion resistivity of reinforcement. Keywords: Flexural strength, corrosion, metakaolin, silica fumes

Approach in Developing Environmental Management Plan (EMP)

Abstract. The paper documents the Environmental Management Plan (EMP) developed during the Environmental Impact Assessment (EIA) studies conducted for road construction and upgrading in the 'State of Kuwait'. The Environmental Management Plan (EMP) plan was developed based on the baseline studies, impact assessment, impact evaluation and complying with KEPA (Kuwait Environmental Public Authority) guidelines and standards. The paper gives a framework for developing EMP and the components that should be included in the plan. The main components of EMP are: (i) Mitigation Program (ii) Monitoring Program (iii) Recommendations and (iv) EMP Implementation Program. The EMP should consist of cost estimates for monitoring program, equipment procurement, manpower, transportation, office cost, studies, reporting, stationeries, etc. EMP Implementation Program consists of 'Environmental Supervision Plan' which is an important instrument to ensure effective implementation of 'Environmental Management Plan'. In this paper the recommendations that are suggested are specific to the project and geographical conditions in the State of Kuwait. The vital active part of EMP is EMP implementation and execution program

Surveillance of Pseudomonas in COPD patients in a tertiary care hospital

Background: Chronic pulmonary disease is increasing day by day due to lifestyle of general population. Smoking and air pollution are important factors. The present study was carried out to know the bacteriological profile of such cases.Methods: A total of 64 patients suffering with COPD were included in this study. Purulent sputum was collected from all the patients and subjected to routine bacteriological study. Culture positive were identified by routine bacteriological methods and antimicrobial susceptibility tests were performed using Kirby-Bauer disk diffusion method, MIC were determined following CLSI guidelines.Results: Out of 64 samples, 51 showed culture positive. Among aerobic bacteria, Pseudomonas was found to be predominant (54.05%) which was immediately followed by Klebsiella (45.94%). Amikacin was found to be effective (90%), followed by imipenim (85%) and trimethoprim (85%). The ureidopenicillin, piperacillin showed 70% sensitivity. All the strains were resistant to ampicillin and co-trimoxazole (100%).  Conclusion: Antipseudomonal agents, imipenim and piperacillin were effective though slight resistance was noted. Therefore continuous monitoring of antipseudomonal agents is necessary to combat the development of resistance. Health education regarding smoking and air pollution needs to be strongly implemented.