bluuebunny/crossref_metadata_2025 huggingface dataset:
A SYNCHRONIZED APPROACH FOR INTEGRATING PHOTOS AND 3D GIS IN THE APPLICATIONS OF DISASTER MANAGEMENT
Authors: Hong J.-H. , Chen C.-H.
Published: August 2019

Abstract. Photos are an effective tool for recording ongoing disaster situations or damages after hazards. The emergence of smartphones has revolutionary influences on the use of photos. Even the general public can take photos, report any disaster situations they observe via mobile network, and share photos in social media because nearly everyone has a smartphone. These photos may provide valuable information about the disaster in reality. In addition to visual inspection, effectively and efficiently taking advantage of the available photos remains an interesting challenge. From a 3D perspective, we propose a synchronized approach for integrating the visualization and manipulation of photos and 3D geographic information system (GIS) data. The photos provide newly acquired disaster situations, while the 3D GIS data provide a realistic and comprehensive reference and links to other domain data to analyze damages from different viewpoints effectively. The key idea is to restore the position and orientation when the photo is taken in the system and synchronize the visualization of both types of data with a dual-window interface. If common feature points between the photos and 3D GIS data can be found, the damage assessment can be even more accurate. This approach will be extremely useful when before-and-after situations are compared. With the awareness of environment changes and willingness of participation from citizens increase, the proposed approach presents a new direction by highlighting the use of photos for improved decision making in disaster management.
EVALUATION OF MACHINE LEARNING TECHNIQUES IN VINE LEAVES DISEASE DETECTION: A PRELIMINARY CASE STUDY ON FLAVESCENCE DORÉE
Authors: Hruška J. , Adão T. , Pádua L. , Guimarães N. , Peres E. , Morais R. , Sousa J. J.
Published: August 2019

Abstract. Vine culture is influenced by many factors, such as the weather, soil or topography, which are triggers to phytosanitary issues. Among them are some diseases, that are responsible for major economic losses that can, however, be managed with timely interventions in the field, viable of leading to effective results by preventing damage propagation. While not all symptoms might present a visible evidence, hyperspectral sensors can tackle this aspect with their ability for measuring hundreds of continuously sparse bands that range beyond the eye-perceptible spectrum. Having such research line in mind in this work, a hyperspectral sensor was applied to analyse the spectral status of vine leaves samples, collected in three chronologically distinct campaigns, while costly and destructive laboratory methods were used to track Flavescence Dorée (FD) in the same samples, for a ground truth information. Regarding data processing, machine learning approaches were used, in which several classifiers were selected to detect FD in vine leaves hyperspectral images. The goal was to evaluate and find most suitable classifier for this task.
MULTI-TEMPORAL HIGH-RESOLUTION LANDSLIDE MONITORING BASED ON UAS PHOTOGRAMMETRY AND UAS LIDAR GEOINFORMATION
Authors: Hung C.-L. J. , Tseng C.-W. , Huang M.-J. , Tseng C.-M. , Chang K.-J.
Published: August 2019

Abstract. Due to the high seismicity and high annual rainfall, numerous landslides occurred and caused severe impacts in Taiwan. Typhoon Morakot in 2009 brought extreme and long-time rainfall, and caused severe disasters. After 2009, numerous large scale deep-seated landslides may still creeping, however not necessary easily to inspect the activity. In recent years, the remote sensing technology improves rapidly, providing a wide range of image, essential and precious geoinformation. Accordingly, the Small unmanned aircraft system (sUAS) has been widely used in landslide monitoring and geomorphic change detection. This study used UAS to continuously monitor a landslide area in Baolai Village in southern Taiwan, which had a catastrophic landslide event triggered by heavy rainfall caused by Typhoon Morakot in 2009. In order to accesses the potential hazards, this study integrates UAS, field geomatic survey, terrestrial laser scanner (ground LiDAR), and UAS LiDAR for sequential data acquisition since 2015. Based on the methods we are able to construct multi-temporal and high resolution DTMs, so as to access the activity and to monitoring the creeping landslides. The data set are qualified from 21 ground control points (GCPs) and 11 check points (CPs) based on real-time kinematic-global positioning system (RTK-GPS) and VBS RTK-GPS (e-GNSS). More than 10 UAS flight missions for the study areas dated since 2015, for an area large than 5–40 Km2 with 8–12 cm spatial resolution (GSD). Then, the datasets was compared with the airborne LiDAR data, to evaluate the quality and the interpretability of the dataset. Since early 2018, we integrate UAS LiDAR technology to scanning the sliding area. The density of the point cloud data sets are higher than 250 and 100 points/m2 for the total and ground point, respectively. The spatial distributions of geomorphologic changes were quantified firstly with the GCPS and CPs. The potential disaster was evaluated at different times, and the result reveals that most active regions were on the eastern side of the landslide. Significant changes in elevation were detected before the middle of 2017, however reactivated again since middle of 2018. The results of this study provide not only geoinfomatic datasets of hazardous area, but also for essential geomorphologic information/methods for other study, and for hazard mitigation and planning, as well.
FREQUENCY RATIO LANDSLIDE SUSCEPTIBILITY ESTIMATION IN A TROPICAL MOUNTAIN REGION
Authors: Javier D. N. , Kumar L.
Published: August 2019

Abstract. In a high-rainfall, landslide-prone region in this tropical mountain region, a landslide database was constructed from high resolution satellite imagery (HRSI), local reports and field observations. The landslide data was divided into training (80%) and validation sets (20%). From the digital elevation model (DEM), scanned maps and HRSI, twelve landslide conditioning factors were derived and analysed in a GIS environment: elevation, slope angle, slope aspect, plan curvature, profile curvature, distance to drainage, soil type, lithology, distance to fault/lineament, land use/land cover, distance to road and normalized difference vegetation index (NDVI). Landslide susceptibility was then estimated using the frequency ratio method as applied on the training data. The detailed procedure is explained herein. The landslide model generated was then evaluated using the validation data set. Results demonstrate that the very high, high, moderate, low and very low susceptibility classes included an average of 86%, 7%, 4%, 3% and 1% of the training cells, and 84%, 7%, 5%, 3% and 1% of the validation cells, respectively. Success and prediction rates obtained were 90% and 89%, respectively. The sound output has discriminated well the landslide prone areas and thus may be used in landslide hazard mitigation for local planning.
EFFECTS OF AEROSOLS ON THE KOREAN PENINSILA CAISED BY FIREWORKS IN CHINA DURING CHINESE LUNAR NEW YEAR
Authors: Kim K. , Kim J. O.
Published: August 2019

Abstract. This study investigated the effects of fireworks using aerosol optical depth (AOD) and aerosol optical properties (AOP) from Terra/Moderate Resolution Imaging Spectroradiometer (MODIS) and Sunphotometer, and PM (Particulate Matter) data were observed in Gwangju, South Korea and Shanghai, China. During the Lunar New Year period in 2014, the PM2.5 concentration by fireworks in Shanghai showed the highest concentration on the day of Lunar New Year, and air pollutants of long-range transport by fireworks were affected the increase of PM10 concentration and aerosol optical depth over the Korean peninsula). These results show that the effect of fireworks, which was recognized as a local air pollution problem, can be transported to the Korean peninsula from China. The results of this study can be very useful for monitoring the atmosphere by firework effect over the Korean Peninsula.
ASSESSING TIDAL FLOOD UPON SOLAR SALT FARMING AREA IN NORTH PART OF JAVA USING HYDRODYNAMIC MODEL
Authors: Nirwansyah A. W. , Braun B.
Published: August 2019

Abstract. This study aims to assess the impact of high tide upon salt production areas in north part of Java, Indonesia. Single case in June 2016 was applied using MIKE 21 in salt production area of Cirebon. The inputs are tidal height records, bathymetry, digital elevation model (DEM) from Geospatial Information Agency (GIA), and wind data from OGIMET. Peak water level from tidal constituent is extracted from the simulation. The exposed that were generated from peak level of water elevation showed that tidal event has led to 82.9% of salt production area being inundated. West and east part are recorded as the most affected location due to this extreme event. The maximum water level has reached about 38 cm and covered more than 6,489.38 ha during the tide. Whilst the accurate identification will provide valuable information for flood assessment upon marginal agriculture in coastal area.
MULTI-HAZARD RISK ASSESSMENT IN URBAN PLANNING AND DEVELOPMENT USING AHP
Authors: Sharma A. , Miyazaki H.
Published: August 2019

Abstract. Many cities across the world are exposed to more than one hazards. Focus on only the most prominent natural hazards, or the most recent event can be dangerous, as many potential threats to urban development are not assessed. Even when multiple hazards in a given area is assessed, there is a lot of confusion on how to utilize hazard information in making decisions for urban land-use planning. This study is aimed to develop a method to utilize hazard maps in urban land-use decision making. The study has identified numerous applications of GIS-based multi-criteria decision model (MCDM) for land-use suitability evaluation. It has then tried to integrate multiple hazard maps, a product of multi-hazard risk assessment, into the model to generate suitability maps for further development. The used parameters were correlated using the Analytical Hierarchical Process (AHP), one of the MCDM tool and incorporated into the GIS environment, with a comparison between the cases with- and without-hazard considerations. The application of the proposed method was tested for Madang Province, Papua New Guinea for four land-uses, i.e., residential, industrial, commercial, and agricultural. The results of the model i.e., land-use suitability maps were spatially reflective of the model user’s decisions and understanding. This model gave considerable results for the urban development plan. Furthermore, comparison of the model outputs with and without hazard considerations led to notable differences. For example, almost 1% of the study area was rendered unsuitable for residential development in the assessment without hazard consideration. Besides, approximately 14% of the study area were assessed as suitable for without-hazard consideration but less suitable for with-hazard consideration. Since the hazard maps represented patterns and locations of natural hazards, our approach of incorporating them could help highlight the gaps in risk recognition with future development in hazardous areas.
MAPPING OF BURNED AREA USING PRESENCE AND BACKGROUND LEARNING
FRAMEWORK ON THE GOOGLE EARTH ENGINE PLATFORM
Authors: Attaf D. , Djerriri K. , Mansour D. , Hamdadou D.
Published: August 2019

Abstract. Mapping of burned areas caused by forest fires was always a main concern to researchers in the field of remote sensing. Thus, various spectral indices and classification techniques have been proposed in the literature. In such a problem, only one specific class is of real interest and could be referred to as a one-class classification problem. One-class classification methods are highly desirable for quick mapping of classes of interest. A common used solution to deal with One-Class classification problem is based on oneclass support vector machine (OC-SVM). This method has proved useful in classification of remote sensing images. However, overfitting problem and difficulty in tuning parameters have become the major obstacles for this method. The new Presence and Background Learning (PBL) framework does not require complicated model selection and can generate very high accuracy results. On the other hand the Google Earth Engine (GEE) portal provides access to satellite and other ancillary data, cloud computing, and algorithms for processing large amounts of data with relative ease. Therefore, this study mainly aims to investigate the possibility of using the PBL framework within the GEE platform to extract burned areas from freely available Landsat archive in the year 2015. The quality of the results obtained using PBL framework was assessed using ground truth digitized by qualified technicians and compared to other classification techniques: Thresholding burned area spectral Index (BAI) and OC-SVM classifiers. Experimental results demonstrate that PBL framework for mapping the burned areas shows the higher classification accuracy than the other classifiers, and it highlights the suitability for the cases with few positive labelled samples available, which facilitates the tedious work of manual digitizing.
DYNAMICS OF SPATIO-TEMPORAL URBAN EXPANSION IN SOUTH WEST DELHI REGION: A GEO-SPATIAL APPROACH FOR URBAN DISASTER MANAGEMENT
Authors: Sharma N. , Kaur A. , Bose P.
Published: August 2019

Abstract. Constantly increasing population and up-scaling economic growth has certainly contributed to fast-paced urban expansion, but simultaneously, as a result, has developed immense pressure on our natural resources. Among other unfavorable consequences, this has led to significant changes in the land use and land cover patterns in megacities all across the globe. As the impact of uncontrolled and unplanned development continues to alter life patterns, it has become imperative to study severe problems resulting from rapid development and leading to environmental pollution, disruptions in ecological structures, ever increasing pressure on natural resources and recurring urban disasters This paper presents an approach to address these challenges using geospatial data to study the land use and land cover change and the patterns and processes of urban growth. Spatio-temporal changes in land-use/land-cover were assessed over the years using multi-date high resolution satellite data. The land use classification was conducted using visual image interpretation technique wherein, study area was categorized into five different classes based on NRSC classification system namely agricultural, built-up, urban green (forest), and fallow land and water bodies. Post-classification change detection technique was used for the assessment of land-cover change and transition matrices of urban expansion were developed to quantify the changes. The results show that the city has been expanding majorly in its borders, where land masses have been converted from agriculture based rural areas to urban structures. An increase in the built-up category was observed with the transformation of agricultural and marginal land with an approximate change of 8.62% in the peri-urban areas. Urban areas are becoming more densely populated and open barren lands are converted into urban areas due to over population and migration from the rural areas of Delhi and thus increasing threat towards urban disaster. Conservation and sustainable management of various natural resources is recommended in order to minimize the impact of potential urban disasters.
THE EVALUATION OF WATER POLLUTION WITH THE HELP OF REMOTE SENSING TOOLS
Authors: Šádek P. , Struhár J.
Published: August 2019

Abstract. With the growing population, there is a growing demand for quality drinking water. Especially in developing parts of the world, this is a serious problem. The aim of this work is to test remote sensing methods for water quality monitoring. The presented part of the project is focused on introducing the process of water pollution assessment using vegetation indices, which are derived only using RGB images. Water quality monitoring is based on satellite imagery Landsat 8 and UAV images Phantom 3. As reference data was used in-site measurements in profiles points. In-site measurements were repeated every month in the vegetation period from April to September. Based on regression analysis, the equation for the calculation of the amount of chlorophyll and the statistical evaluation of the quality of these equations is derived for each vegetation index. The best results were achieved using the ratio aquatic vegetation index (RAVI) and ExG (Excess green) indices of 97% and 96.8% respectively.
EXTRACTING DIMENSIONS AND LOCATIONS OF DOORS, WINDOWS, AND DOOR THRESHOLDS OUT OF MOBILE LIDAR DATA USING OBJECT DETECTION TO ESTIMATE THE IMPACT OF FLOODS
Authors: Van Ackere S. , Verbeurgt J. , De Sloover L. , De Wulf A. , Van de Weghe N. , De Maeyer P.
Published: August 2019

Abstract. Increasing urbanisation, changes in land use (e.g., more impervious area) and climate change have all led to an increasing frequency and severity of flood events and increased socio-economic impact. In order to deploy an urban flood disaster and risk management system, it is necessary to know what the consequences of a specific urban flood event are to adapt to a potential event and prepare for its impact. Therefore, an accurate socio-economic impact assessment must be conducted. Unfortunately, until now, there has been a lack of data regarding the design and construction of flood-prone building structures (e.g., locations and dimensions of doors and door thresholds and presence and dimensions of basement ventilation holes) to consider when calculating the flood impact on buildings. We propose a pipeline to detect the dimension and location of doors and windows based on mobile LiDAR data and 360° images. This paper reports on the current state of research in the domain of object detection and instance segmentation of images to detect doors and windows in mobile LiDAR data. The use and improvement of this algorithm can greatly enhance the accuracy of socio-economic impact of urban flood events and, therefore, can be of great importance for flood disaster management.
INTEGRATED USE OF GIS, REMOTE SENSING DATA AND A SET OF MODELS FOR OPERATIONAL FLOOD FORECASTING
Authors: Zelentsov V. A. , Potryasaev S. A. , Pimanov I. Y. , Ponomarenko M. R.
Published: August 2019

Abstract. The research is aimed at the development and testing of the system for operational river flood forecasting. The system is based on the use of a complex of hydrological and hydrodynamic models, as well as in situ and satellite data integrated processing, and implemented on the basis of a service-oriented architecture. A distinctive feature of the system is the complete automation of the entire simulation cycle - from loading initial data to interpreting results, visualizing and alerting interested parties. The theoretical basis for ensuring the coordinated functioning of all system components is the qualimetry of models and polymodel complexes. The practical implementation is carried out using open codes, free software and GIS platform «RegionView». All the complexity associated with the use of heterogeneous geographically distributed information resources is hidden from the user. This allows the system to be used not only by specialists in GIS, IT or relevant subject area, but also by other users interested in the results of flood monitoring and forecasting - emergency services, local authorities, commercial organizations and citizens. The described technologies and the system of operational flood forecasting were tested in the Russian Federation on the Northern Dvina River, from the city of Velikiy Ustyug to the city of Kotlas in 2014-2019. Given test results prove that the application of such an approach ensures full implementation of the required functionality of operational flood forecasting systems, the fulfilment of the basic requirements for such systems and also indicate the possibility of a widespread use of such systems authorities and emergency services.
A FUZZY LOGIC APPROACH FOR DRONE CAPABILITY ANALYSIS ON DISASTER
RISK ASSESSMENT
Authors: Zlateva P. , Hristozov S. , Velev D.
Published: August 2019

Abstract. The paper proposes a fuzzy logic approach for drone capability analysis on disaster risk assessment. In particular, a fuzzy logic model is designed as a hierarchical system with several inputs and one output. The system inputs corresponds to the linguistic variables, describing the of levels of the external and internal input factors, which determine the capability levels of analysed drone in respect to disaster risk assessment. As external input factors are used, for example: disaster type (flood, landslide, wildfire); weather conditions (wind speed, fog, cloud cover); operational area (urban, mountain, plain), etc. As internal input factors are considered the drone characteristics such as drone type, flight performance (stall speed, turn radius, flight endurance), payload capabilities (camera resolution, accuracy, weight, sensors), etc. The fuzzy logic system output gives the level of the drone capability on disaster risk assessment in defined conditions. The model is designed in Matlab computer environment using Fuzzy Logic Toolbox. Several computer simulations are carried out to validate the proposed model. The designed fuzzy logic model is part of an information system for disaster risk management using drones, which is under development.
VULNERABILITY ANALYSIS FOR THE INTEGRATED COASTAL ZONE
MANAGEMENT PLAN OF THE CITY OF KAŠTELA IN CROATIA
Authors: Baučić M. , Ivić M. , Jovanović N. , Bačić S.
Published: August 2019

Abstract. One of the objectives of the Integrated Coastal Zone Management (ICZM) is to prevent and reduce the effects of natural hazards, particularly ones caused by climate changes. The ICZM methodologies include use of geographic information systems, from data collection and geo-analysis to dissemination of information to the public. As a part of the Interreg MED Co-evolve project cofinanced by the European regional development fund, the ICZM based action plan is being developed for the City of Kaštela in Croatia. Activities include assessing coastal vulnerability to climate change, focusing on sea flooding and storm damages and related socio-economic vulnerabilities. The paper presents development of large scale vulnerability analysis, adopted from the methodologies developed for mid and small scales. Suitability of the available data is assessed, either official or open source, and data gaps are described. The analysis’s results are presented in terms of the assets exposed to coastal flooding and storms, and future improvements of analysis towards house level vulnerability analysis is envisaged.
DETECTION AND DELINEATION OF SUBSURFACE COAL MINE FIRE FROM SPACEBORNE THERMAL INFRARED DATA IN JHARIA COALFIELD, DHANBAD, INDIA
Authors: Biswal S. S. , Gorai A. K.
Published: August 2019

Abstract. Coal fire has been found to be a major problem worldwide in coal mining areas. The surrounding areas get hugely affected, and significant amount of reserves are wasted due to the burning of coal. This severely affects the environment condition, which leads to a rise in temperature of the region, which is a major reason for climate change. Greenhouse gases like CO2 SO2 NO CH4 are also emitted from the cracks and fissures. Large masses of the burning of coal also causes land subsidence and collapse. Underground coal fires ignited by natural causes or human error leads to atmospheric pollution, acid rain, land subsidence, and increased coronary and respiratory diseases. They consume a valuable energy resource, destroy floral and faunal habitats, and promote human suffering because of heat, subsidence, and pollution. Jharia Coalfield, Jharkhand, India, is well known for being the storehouse of prime coking coal and for accommodating the maximum number of coal fires among all the coalfields in the country. In this paper, some of the important issues of coal fire mapping from satellite thermal infrared data have been addressed in particular reference to Jharia Coalfield. Namely, these are: retrieval of spectral radiance from raw digital satellite data using scene-specific calibration coefficients of the detectors from metadata, thermal emissivity of surface to obtain kinetic temperature at each ground resolution cell of satellite data, field-based modelling of pixel-integrated temperature for differentiating surface and subsurface fire pixels in Landsat 8 thermal IR data, identification of surface coal fire locations from infrared data and lateral propagation of coal fire.
SPATIAL DISTRIBUTION OF FELT INTENSITIES FOR PORTUGAL EARTHQUAKES
Authors: Catita C. , Teves-Costa M. P. , Matias L. , Batlló J.
Published: August 2019

Abstract. Macroseismic intensity is a parameter of the severity of ground movement evaluated in terms of the effects that earthquakes produce on people, buildings and the environment, constituting an extremely important information source for the seismologist and engineer of structures. In recent studies, the authors of this study published a new map of maximum intensities observed for continental Portugal considering all observations of macro-seismic intensity higher than III relative to earthquakes occurred between 1344 and 2015 (Teves-Costa et al., 2019). In each parish and municipality of the continental part of the country, the maximum values of intensity were defined. A map of maximum intensities produced in this way was essentially controlled by earthquakes of greater intensity, the 1909.04.23 (near-field) and 1755.11.01 (far-field) earthquakes. In the present work, a spatial distribution of the earthquakes presents in the database (classified by their nature - near-field or far-field - intensity, and epoch) are analysed. The spatial structure, which allows the detection of spatial dependence or autocorrelation of intensity values is also explored in this work, in order to identify regions with similar macroseismic characteristics. The combination of the map of maximum intensities and the products generated in this work are essential for the authorities as a base of support in the definition of joint adaptation strategies for the various regions of the territory, as well as contribute to a better management of the emergency system in Portugal.
USING VIRTUAL SCENARIOS TO PRODUCE MACHINE LEARNABLE ENVIRONMENTS FOR WILDFIRE DETECTION AND SEGMENTATION
Authors: Adão T. , Pinho T. M. , Pádua L. , Santos N. , Sousa A. , Sousa J. J. , Peres E.
Published: August 2019

Abstract. Today’s climatic proneness to extreme conditions together with human activity have been triggering a series of wildfire-related events that put at risk ecosystems, as well as animal and vegetal patrimony, while threatening dwellers nearby rural or urban areas. When intervention teams - firefighters, civil protection, police - acknowledge these events, usually they have already escalated to proportions hardly controllable mainly due wind gusts, fuel-like solo conditions, among other conditions that propitiate fire spreading. Currently, there is a wide range of camera-capable sensing systems that can be complemented with useful location data - for example, unmanned aerial systems (UAS) integrated cameras and IMU/GPS sensors, stationary surveillance systems - and processing components capable of fostering wildfire events detection and monitoring, thus providing accurate and faithful data for decision support. Precisely in what concerns to detection and monitoring, Deep Learning (DL) has been successfully applied to perform tasks involving classification and/or segmentation of objects of interest in several fields, such as Agriculture, Forestry and other similar areas. Usually, for an effective DL application, more specifically, based on imagery, datasets must rely on heavy and burdensome logistics to gather a representative problem formulation. What if putting together a dataset could be supported in customizable virtual environments, representing faithful situations to train machines, as it already occurs for human training in what regards some particular tasks (rescue operations, surgeries, industry assembling, etc.)? This work intends to propose not only a system to produce faithful virtual environments to complement and/or even supplant the need for dataset gathering logistics while eventually dealing with hypothetical proposals considering climate change events, but also to create tools for synthesizing wildfire environments for DL application. It will therefore enable to extend existing fire datasets with new data generated by human interaction and supervision, viable for training a computational entity. To that end, a study is presented to assess at which extent data virtually generated data can contribute to an effective DL system aiming to identify and segment fire, bearing in mind future developments of active monitoring systems to timely detect fire events and hopefully provide decision support systems to operational teams.
Book Review: Retirement and its Discontents: Why we Won't Stop Working Even If we Can.
Authors: Huang Claudia
Published: August 2019

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Book Review: Ageing in Sub-Saharan Africa: Spaces and Practices of Care
Authors: Golomski Casey
Published: August 2019

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Book Review: Transnational Migration and Home in Older Age
Authors: Wolter Nele
Published: August 2019

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Energy and Aging in the Danish Welfare State: Ethnographic Explorations of an Omnipresent but Forgotten Concept
Authors: Hvenegaard Mikkelsen Henrik , Schwennesen Nete , Lassen Aske Juul
Published: August 2019

None
Reading and Wellbeing in Old Age
Authors: Ryan Carrie
Published: August 2019

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Effects of Sweet Potato Leaves, Roselle Calyces and Beetroot on Body Weight, Selected Hematological and Biochemical Parameters in Broiler Chicken
Authors: Bakari Gaymary George , Max Robert Arsen , Kitimu Shedrack Reuben , Mshamu Shaabani , Temba Benigni Alfred , Muhairwa Amandus P.
Published: August 2019

The study was conducted to assess the effects of sweet potato leaves, roselle calyces and beetroot tubers on body weight, selected hematological and biochemical parameters in broiler chickens. Eighty four (84) broiler chickens aged four weeks were randomly assigned into six groups of 14 chickens each. The first group (G0) remained as untreated control while the other groups were the treated groups which received 25% of ground sweet potato leaves (G1), rosella calyces (G2), beetroot tubers (G3) and their mixtures (G4 and G5) for 28 days. Following inclusion of these different vegetables, blood samples were collected and analyzed for selected hematological and biochemical parameters on day 0, 7, 14, 21 and 28. Results showed that consumption of the three vegetables caused significant decreases (p < 0.05) in body weight, serum glucose and cholesterol. On the other hand, hemoglobin concentration, packed cell volume (PCV) and total white blood cell (WBC) counts were shown to increase significantly (p < 0.05) compared to the control group. It is concluded that the hypoglycemic and hypocholesteremic effects in chickens following consumption of the three vegetables together with their positive effects on PCV and WBC counts are important qualities which can be utilized in the management of conditions such as obesity, diabetes mellitus, hyperlipidemia and cardiovascular diseases (atherosclerosis and coronary disease) in humans. Further studies in other animals are recommended.
Implementation of Quality Infusion Program Services at Bombana Regency General Hospital in 2011
Authors: - Megawati , Yusriadi Yusriadi
Published: August 2019

Nurses as health service at the hospital, they have to be always on ready in 24 hours for performing routine daily activities, and a various emergency, such as critical health condition of patients. The purpose of the research is for knowing the description of service quality of infusion installation program at general Hospital of Bombana Regency in 2011. Characteristic of research is descriptive analysis using statistical descriptive. The population of the research is all nurses on duty at General Hospital of Bomabana Regency in amount 55 nurses. Samples of research are in the amount of 30 respondents from 55 nurses. Instruments which used in this research are questionnaires. Result of research showed that description of infusion installation implementation in preparation phase; 10 nurses (33.33 percent) performed in the good category, 20 nurses (66.67 percent) performed in lack category. While description of infusion installation in implementation phase, 13 nurses (43.33 percent) performed in good category, 17 nurses (56.67 percent) performed in lack category. Suggestion, expected to hospital institution to consider decisions relating to training and education for nurses who still have education at the lower level, in order could increase their knowledge.
Innovative Data Science to Transform Health Care: All the Pieces Matter
Authors: Masica Andrew L. , Escarce José J.
Published: August 2019

This issue of eGEMS focuses on application of data science as a driver of health
care transformation. Importantly, quantitative or qualitative analysis with a particular
method is only one downstream step in the process of leveraging data. Effective
analytics occurs on a continuum with multiple complementary phases, categorized here as
data acquisition, ensuring or enhancing data access and usability, data analysis, and
dissemination. Each of these activities is encompassed in the series of papers
presented. Publisher's Note:This article was amended on 6th September 2019 to correct an
incorrect citation. "Immergluck et. al" has been changed to "Cramer, Seneviratne and
Sharifi".
Recurrent invasive lobular breast carcinoma presenting as gastric outlet obstruction
Authors: Contreras Alberto , Robles Alejandro , Mendoza-Ladd Antonio
Published: August 2019

Breast cancer is the most common malignancy in women. Metastatic disease is usually found in the bones, lungs, regional lymph nodes, liver, and brain. Metastases to the gastrointestinal tract occur in less than 1% of cases. We report an unusual case of metastatic invasive lobular carcinoma presenting as gastric outlet obstruction seven years after the initial diagnosis. To our knowledge, this is the first time that endoscopic ultrasound with fine-needle aspiration is used to establish a definite diagnosis of recurrent invasive lobular carcinoma to the gastrointestinal tract causing gastric outlet obstruction.
Aspects Marking in English and Thali: A Contrastive Study
Authors: Bhatti Zafar Iqbal , Khan Arshad Ali
Published: August 2019

The purpose of the paper is to explore the aspect system in Thali, a language spoken in Thal region, including district Layya, Bhakar and neighboring areas of Jhang, in Punjab province by a large number of people. This research paper presents comparisons and contrasts between Thali aspect system and English aspect system. There are only two aspects in Thali, namely, perfect and progressive. Perfect aspect can be categorized into past perfect and present perfect in terms of time dimensions. Similarly, progressive aspect is also categorized into past progressive and present progressive from time dimensions. All types of aspects in Thali are morphologically marked but aspect system in English is different by using morphological marking as well as several complex constructions like have + past participle, be + present participle, and have + been + present participle for perfect, progressive and perfect progressive, respectively. Thali has only four structures for aspect whereas English has 17 different types of aspectual structures described in examples (24–40). The analyses and data examined in the paper are basically drawn from the native speaker intuitions and grammar (Beames, 1872–79). It is really a challenging job for Thali learners to conceptualise these different structures. As a final point, this paper finds out EFL issues and proposes some pedagogical strategies for teaching and learning English aspect system as a foreign language to Thali EFL learners.
Relating Perceptual Learning Styles of Engineering Students with Scanning Information in Text Scores
Authors: Shafqat Asmara , Saqlain Najeeb us
Published: August 2019

There are numerous factors, which reasonably affect teachers’ instructions. One of these factors is being aware of the learners’ learning styles. Shea’s work (1983) contributed that there is a strong correlation between learning styles and reading comprehensions. The present study investigated the correlation between Perceptual learning styles and scanning information in text scores. To achieve this, researcher randomly selected 382 undergraduates (male and female) engineering students of the Public sector Engineering University. Learning style survey questionnaire by Andrew D. Cohen, Rebecca L. Oxford, and Julie C. Chi (2001) was employed to examine the Perceptual learning style patterns and learning styles with respect to gender. In addition to this, reading test was conducted based on scanning skill. Pearson product-moment correlation test was applied to examine the correlation between the variables. It was found that a correlation exists between learning styles of engineering students and scanning information in the text. In addition to this, gender does play role in learning style preferences. This result would create awareness among all instructors or teachers the importance of learners’ unique learning style preferences that consequently affect teaching methodologies in all educational settings.
Arendt’s Political Theology—From Political Religion to Profanation
Authors: Diken Bulent , Laustsen Carsten Bagge ,   Philosophy Documentation Center
Published: August 2019

The article elaborates on Arendt’s take on the religious and the political and on how they interact and merge in modernity, especially in totalitarianism. We start with framing the three different understandings of religion in Arendt: first, a classic understanding of religion, which is foreign to the logic of the political; second, a secularized political religion; and third, a weak messianism. Both the classic understanding of religion and the political religion deny human freedom in Arendt’s sense. Her transcendent alternative to them both is the notion of the democratic political community: the Republic. Then we turn to Arendt’s political theology, illuminating why interrogating Nazism is central to examine the relationship between politics and religion in modernity. This is followed by a discussion of Nazism as a type of political religion. We focus here on totalitarianism, both as an idea and actual institution. We conclude with an assessment of the role of profanation in Arendt’s work and its significance vis-à-vis the contemporary ‘return of religion’ as well as totalitarian tendencies which call for new forms of voluntary servitude.
Taking Responsibility for the World
Authors: Fantauzzi Stefania ,   Philosophy Documentation Center
Published: August 2019

The purpose of this article is to analyse the issues of war and violence in the thought of Hannah Arendt, drawing on articles published in the newspaper Aufbau between 1941 and 1945. In these texts Arendt argues for the organisation of a Jewish army to engage in the struggle against Nazism. Here I attempt to show that this call for a Jewish army is not in contradiction with the separation between power and violence that Arendt posited. With this objective, I will compare Aufbau’s writings not only with On Violence, but above all with Was ist Politik? and I will try to interpret this comparison by means of the concept of impolitical, elaborated by the Italian philosopher Roberto Esposito. This way I will suggest a new reading of the relationship between politics and violence. It is not a matter of considering the Jewish question only as a starting point to analyze Arendt’s thought, or to interpret her claim in favor of a Jewish army as the result of a specific historical context, but also to see how these positions spring from a will of transformation of this same context and are coherent with the development of her thought.
Incomplete Contracts and Stakeholder Theory
Authors: Lu Xiaohe ,   Philosophy Documentation Center
Published: August 2019

If market transactions are optimal, why do so many transactions occur within firms themselves? Ronald H. Coase explains this phenomenon by arguing that market transaction costs differ from intra-company transaction costs and that clear intra-intra-firm property rights have the effect of reducing transaction costs. But what exactly are the relevant transaction costs, and what factors determine them? Oliver Hart argues that market contracts are incomplete, and that the key to improving efficiency is putting the power to deal with these unspecified circumstances into the hands of owners within the same entity.In this paper, I argued that, the development of the theory and practice of business ethics as well as China’s innovative practice in recent decades provide a new perspective, one that is especially relevant to the issues raised by Case and Hart and that bear directly on the reform of China’s state-owned enterprises.
Let’s think together!
Authors: Nikiforov Alexander L. ,   Institute of Philosophy, Russian Academy of Sciences
Published: August 2019

The article provides answers to the critical remarks of my colleagues expressed about the ideas I presented in the first article. In general, it seems to me, we all agree that the image of science, created in the philosophy of science of the twentieth century, needs substantial change due to the rapid convergence of science and technology during the twentieth century.
A.J. Ayer and J.L. Austin: from “Ethical Judgements” to “Performative”
Authors: Yuriev Roman A. ,   Institute of Philosophy, Russian Academy of Sciences
Published: August 2019

The article considers the thesis about A. Ayer’s radical empiricism as one of the possible conceptual sources for the development of the theory of J. Austin’s speech acts. In contemporary research literature more attention is devoted to the inquiry of the discussion between A. Ayer and J. Austin on the matter of “sense-data”. At the same time it can be stated that few attention is devoted to the historical and philosophical reconstruction of their mutual influence. The importance of this kind of reconstruction is caused by the fact that contention between A. Ayer and J. Austin in Oxford during 1930s and 1940s can be viewed as preliminary work of reception of the idea of L. Wittgenstein’s “language-games”. By comparing A. Ayer’s “empirical / ethical” and J. Austin’s “conservative / performative” oppositions one could show that A. Ayer’s earlier views on ethics expressed in his work “Language, Truth and Logic “cannot be unconditionally attributed to the logical positivism. Ayer’s following statements were considered: 1) ethical judgements state as judgments of arousal of feelings and stimulation to action; 2) ethical judgements state as expression of ethical feelings; 3) ethical judgements add nothing in terms of factual meaning; 4) feelings are not a necessary condition for their expression. In conclusion one can say that in a certain sense Ayer’s approach to the ethical judgment is open to understanding that the meaning of a word is its use in the language. The results of its ethical analysis can be viewed as an important impulse to the development of ordinary language philosophy. Therefore, it is possible to consider logical positivism as including the inevitable premises for creation the ordinary language philosophy.
On “Yablo’s Paradox: Is the Infinite Liar Lying to Us?” by Andrei V. Nekhaev
Authors: Shalak Vladimir I. ,   Institute of Philosophy, Russian Academy of Sciences
Published: August 2019

It is believed that the paradoxes emerge due to self-reference. The interest to the Yablo’s paradox is caused by the fact that it does not contain direct or indirect self-reference. The analysis of this paradox has the following disadvantages: 1) incorrect retelling of cited sources, including the Yablo’s paradox; 2) attribution to the cited authors of provisions that they did not approve; 3) carelessness in the use of logical symbolism; 4) confusion in terminology related to the concepts of Truth and False; 5) insufficiently substantiated conclusions.
From Technology Studies to Sound Studies
Authors: Pinch Trevor ,   Institute of Philosophy, Russian Academy of Sciences
Published: August 2019

In this paper I put in dialogue two areas of scholarship: Technology Studies and Sound Studies. Within Technology Studies I discuss the influential social construction of technology approach and illustrate it with the history of the moog electronic music synthesizer, the first commercial music synthesizer. I stress the role of standardization of keyboards and the key role played by users in the development of this technology. I examine certain iconic sounds that the moog synthesizer produces and discuss the stabilization of sound. It is argued that just as technologies can be traced as stabilizing over time, sounds also can be traced with certain sounds stabilizing and being taken up by users whilst other sounds fail to stabilize. The technology required to produce a sound, performance practice, and wider cultural concerns such as the naming of sounds are crucial ingredients in the stabilization of sound.
Wittgenstein and Merleau-Ponty on the Pre-Reflective Level
Authors: Bourgeois Patrick , Brice Robert Greenleaf ,   DePaul University
Published: August 2019

The philosophies of Ludwig Wittgenstein and Maurice Merleau-Ponty may seem at first glance to be mutually exclusive. On further examination, however, they can be seen to share some fundamental points of view. For instance, they both share a common rejection of a modern mechanistic explanation of nature, and both endorse what we might call a pre-linguistic (pre-ratiocinative) level of meaning. In this paper, we show that these thinkers not only share some fundamental philosophical views, but also had, for many years, contemplated what cognitive scientists today call “embodied cognition.”
Procedimiento administrativo en vía de regreso: consideraciones sobre su (in)aplicación práctica en el ámbito de la enseñanza pública
Authors: Delgado Moral Carmen
Published: August 2019

El presente artículo analiza la exigencia normativa referida al procedimiento administrativo en vía de regreso sobre los docentes cuando estos incurren en dolo, culpa o negligencia graves en el ejercicio de su labor y como consecuencia de ello se produce un daño antijurídico a un tercero, del que se deriva una responsabilidad patrimonial de la Administración Pública. Se analizan los requisitos para el ejercicio de la acción de repetición de la Administración sobre el personal a su servicio y se reflexiona sobre los motivos que pudieran motivar lo que en la actualidad se ha convertido en una manifiesta inaplicación práctica de una norma administrativa en general, y en el ámbito de la enseñanza pública en particular.This article analyzes the normative requirement referred to the administrative procedure in way of return on the tea chers when they commit serious fraud, fault or negligence in the exercise of their work and as a consequence there is an unlawful damage to a third party, of which a patrimonial responsibility of the Public Administration is derived. The requirements for the exercise of the action of repetition of the Administration on the staff at its service are analyzed and the reasons that might motivate what at present has become a manifest practical non-application of an administrative rule in general are analyzed and in the field of public education in particular.