bluuebunny/crossref_metadata_2025 huggingface dataset:
Resenha do livro Imperialism, Sovereignty and the Making of International law, de Antony Anghie
Authors: Lemos Fabrício José Rodrigues de , Sartoretto Laura Madrid
Published: April 2018

Trata-se de resenha da obra Imperialism, Sovereignty, and the Making of International Law, de Antony Anghie.
Protein extracts from streptomyces sps. inhibits beta-lactamases secreted by pathogenic bacteria
Authors: Yadava Rohit Mani , Kalyani Manjula Ishwara
Published: April 2018

Beta-lactamases are enzymes produced by pathogenic microorganisms which exhibit resistance to beta-lactam group of antibiotics and are of considerable clinical importance. In our study, we examined the pathogenic organisms for the secretion of beta-lactamase using the antibiotic ampicillin. The extracted beta-lactamase from the isolates was characterized biochemically for enzyme activity and to initiate their inhibition activities.  The protein extracts separated from the potential actinomycetes species were analyzed by targeting against the beta lactamase enzyme activity. The beta-lactamase enzymes from bacterial isolates were purified from the cell free culture extract and activity was estimated spectrophotometrically.  The actinomycetes isolated from the soil source were tested for their efficiency to inhibit the beta-lactamase enzyme activity. The protein fractions were extracted by salt precipitation using ammonium sulfate and further salt removal by dialysis technique. The assays for enzyme inhibition were performed by plate well diffusion along with absorbance readings of the enzyme and substrate using spectrophotometer. The beta-lactamase enzyme activity of Proteus sp. had shown highest enzymatic activity followed by Staphylococcus aureus and Pseudomonas sp. The protein extracts of four actinomycetes isolates that showed beta-lactamase inhibition were identified belonging to the genus Streptomyces based on their colony morphology, microscopic observation, and biochemical tests. The beta-lactamase inhibition activities were analyzed to combat antibiotitc resistances exerted by the pathogenic bacteria in infections.

 
Development and evaluation of floating tablet of metoprolol succinate for increased bioavailability
Authors: Fatema Kauser , Shahi SR , Tauqeer Shaikh
Published: April 2018

The present study is based on development and evaluation of gastroretentive floating tablets of metoprolol succinate by direct compression method, to increase the oral bioavailability of MS. For this, we used a combination of two different hydrophilic polymers that is polyethylene oxide PEO N-80 (X1) and hydroxy ethylcellulose HEC (X2) as independent variables and studied its effect on drug release (as dependent variable) at 20h for MS. A 32 factorial design was used for optimization purpose.

The DSC result shows no interaction between two polymers and the drug (MS). Further, in vitro drug release studies have shown a sustained drug release for more than 20h in upper gastrointestinal region (stomach). In vivo study using rabbits have shown increased AUC0-24 (bioavailability) of prepared optimized F6 formulation as compared to the marketed sustain release tablet of MS. Stability study shows no comparable differences on physical parameters and the drug release after 3 months of accelerated stability testing.  Hence, we can conclude that a floating tablet containing combination of hydrophilic polymers can be used for gastric retention for more than 20hr which will increase the oral bioavailability of MS.
DOM AND DEM SYNCHRONIZATION EDITIONG AND UPDATING METHOD BASED ON GEOMORPHOLOGICAL CHANGE DETECTION
Authors: Cai Z. , Xiang Z. , Zhang L. , Liu W.
Published: April 2018

Abstract. Aiming at the deficiency of the existing DOM and DEM production modes and the networking and automation requirements of the information mapping production system, a method of network-based simultaneous editing and updating of DOM and DEM based on geomorphological change detection was proposed, a set of rapid update technical processes for changing regions were formed, and the DOM and DEM network rapid editing and updating platform was developed. The technology process is based on network parallel environment to achieve network task distribution and multi-person synchronous editing production, and the production efficiency of DOM and DEM is greatly improved.
METHOD OF GRASSLAND INFORMATION EXTRACTION BASED ON MULTI-LEVEL SEGMENTATION AND CART MODEL
Authors: Qiao Y. , Chen T. , He J. , Wen Q. , Liu F. , Wang Z.
Published: April 2018

Abstract. It is difficult to extract grassland accurately by traditional classification methods, such as supervised method based on pixels or objects. This paper proposed a new method combing the multi-level segmentation with CART (classification and regression tree) model. The multi-level segmentation which combined the multi-resolution segmentation and the spectral difference segmentation could avoid the over and insufficient segmentation seen in the single segmentation mode. The CART model was established based on the spectral characteristics and texture feature which were excavated from training sample data. Xilinhaote City in Inner Mongolia Autonomous Region was chosen as the typical study area and the proposed method was verified by using visual interpretation results as approximate truth value. Meanwhile, the comparison with the nearest neighbor supervised classification method was obtained. The experimental results showed that the total precision of classification and the Kappa coefficient of the proposed method was 95 % and 0.9, respectively. However, the total precision of classification and the Kappa coefficient of the nearest neighbor supervised classification method was 80 % and 0.56, respectively. The result suggested that the accuracy of classification proposed in this paper was higher than the nearest neighbor supervised classification method. The experiment certificated that the proposed method was an effective extraction method of grassland information, which could enhance the boundary of grassland classification and avoid the restriction of grassland distribution scale. This method was also applicable to the extraction of grassland information in other regions with complicated spatial features, which could avoid the interference of woodland, arable land and water body effectively.
DATA QUALITY EVALUATION AND APPLICATION POTENTIAL ANALYSIS OF TIANGONG-2 WIDE-BAND IMAGING SPECTROMETER
Authors: Qin B. , Li L. , Li S.
Published: April 2018

Abstract. Tiangong-2 is the first space laboratory in China, which launched in September 15, 2016. Wide-band Imaging Spectrometer is a medium resolution multispectral imager on Tiangong-2. In this paper, the authors introduced the indexes and parameters of Wideband Imaging Spectrometer, and made an objective evaluation about the data quality of Wide-band Imaging Spectrometer in radiation quality, image sharpness and information content, and compared the data quality evaluation results with that of Landsat-8. Although the data quality of Wide-band Imager Spectrometer has a certain disparity with Landsat-8 OLI data in terms of signal to noise ratio, clarity and entropy. Compared with OLI, Wide-band Imager Spectrometer has more bands, narrower bandwidth and wider swath, which make it a useful remote sensing data source in classification and identification of large and medium scale ground objects. In the future, Wide-band Imaging Spectrometer data will be widely applied in land cover classification, ecological environment assessment, marine and coastal zone monitoring, crop identification and classification, and other related areas.
RETRIEVAL OF ATMOSPHERIC PARTICULATE MATTER USING SATELLITE DATA OVER CENTRAL AND EASTERN CHINA
Authors: Chen G. L. , Guang J. , Li Y. , Che Y. H. , Gong S. Q.
Published: April 2018

Abstract. Fine particulate matter (PM2.5) is a particle cluster with diameters less than or equal to 2.5 μm. Over the past few decades, regional air pollution composed of PM2.5 has frequently occurred over Central and Eastern China. In order to estimate the concentration, distribution and other properties of PM2.5, the general retrieval models built by establishing the relationship between aerosol optical depth (AOD) and PM2.5 has been widely used in many studies, including experimental models via statistics analysis and physical models with certain physical mechanism. The statistical experimental models can’t be extended to other areas or historical period due to its dependence on the ground-based observations and necessary auxiliary data, which limits its further application. In this paper, a physically based model is applied to estimate the concentration of PM2.5 over Central and Eastern China from 2007 to 2016. The ground-based PM2.5 measurements were used to be as reference data to validate our retrieval results. Then annual variation and distribution of PM2.5 concentration in the Central and Eastern China was analysed. Results shows that the annual average PM2.5 show a trend of gradually increasing and then decreasing during 2007–2016, with the highest value in 2011.
GF-3 SAR IMAGE DESPECKLING BASED ON THE IMPROVED NON-LOCAL MEANS USING NON-SUBSAMPLED SHEARLET TRANSFORM
Authors: Shi R. , Sun Z.
Published: April 2018

Abstract. GF-3 synthetic aperture radar (SAR) images are rich in information and have obvious sparse features. However, the speckle appears in the GF-3 SAR images due to the coherent imaging system and it hinders the interpretation of images seriously. Recently, Shearlet is applied to the image processing with its best sparse representation. A new Shearlet-transform-based method is proposed in this paper based on the improved non-local means. Firstly, the logarithmic operation and the non-subsampled Shearlet transformation are applied to the GF-3 SAR image. Secondly, in order to solve the problems that the image details are smoothed overly and the weight distribution is affected by the speckle, a new non-local means is used for the transformed high frequency coefficient. Thirdly, the Shearlet reconstruction is carried out. Finally, the final filtered image is obtained by an exponential operation. Experimental results demonstrate that, compared with other despeckling methods, the proposed method can suppress the speckle effectively in homogeneous regions and has better capability of edge preserving.
REAL-TIME TROPOSPHERIC PRODUCT ESTABLISHMENT AND ACCURACY ASSESSMENT IN CHINA
Authors: Chen M. , Guo J. , Wu J. , Song W. , Zhang D.
Published: April 2018

Abstract. Tropospheric delay has always been an important issue in Global Navigation Satellite System (GNSS) processing. Empirical tropospheric delay models are difficult to simulate complex and volatile atmospheric environments, resulting in poor accuracy of the empirical model and difficulty in meeting precise positioning demand. In recent years, some scholars proposed to establish real-time tropospheric product by using real-time or near-real-time GNSS observations in a small region, and achieved some good results. This paper uses real-time observing data of 210 Chinese national GNSS reference stations to estimate the tropospheric delay, and establishes ZWD grid model in the country wide. In order to analyze the influence of tropospheric grid product on wide-area real-time PPP, this paper compares the method of taking ZWD grid product as a constraint with the model correction method. The results show that the ZWD grid product estimated based on the national reference stations can improve PPP accuracy and convergence speed. The accuracy in the north (N), east (E) and up (U) direction increase by 31.8 %,15.6 % and 38.3 %, respectively. As with the convergence speed, the accuracy of U direction experiences the most improvement.
THE STUDY OF WATERSHED TOPOGRAPHY CHARACTERISTICS IN VAKHSH RIVER BASED ON ZY3-DSM
Authors: Cui Y. , Chen L. , Li M. , Men Z.
Published: April 2018

Abstract. The Vakhsh River is one of the major rivers in Tajikistan. The quantitative analysis of watershed topography and developmental characteristics in Vakhsh River catchment can reflect the morphological characteristics of the region, which is of great significance for revealing the quantitative relationship between the hydrological and the geomorphological process. In this paper, the D8 algorithm and the spatial analysis method were used to extract the river networks, the catchment boundary profile lines and the longitudinal valley profile lines of the four major tributaries in the Vakhsh River from the ZY3-DSM of 10 meters resolution. On this basis, five quantitative indices including the frequency of wave, amplitude of wave, gully density, the longitudinal slope and roundness rate were used to analyze the watershed landform and its development degree. According to the experimental results, the catchment have a high surface complexity and a mature landform. Yovonsu river catchment which is in the downstream of Vakhsh River is oval and has low terrain complexity with large frequency and small amplitude. Among the midstream and upstream, the Mukson River has developed into geriatric terrain that is the most mature and has the highest surface complex, while the Obikhingon River and the Kizilsu River have developed into a stable maternal terrain. In terms of topography, the boundary elevation of the Obikhingon is basically in accordance with the normal distribution, while the Kizilsu and the Muksu show a peak state with elevations of 4,000–5,000 m and 5,000–5,500 m, respectively.
MODELING PRECIPITATION DEPENDENT FOREST RESILIENCE IN INDIA
Authors: Das P. , Behera M. D. , Roy P. S.
Published: April 2018

Abstract. The impact of long term climate change that imparts stress on forest could be perceived by studying the regime shift of forest ecosystem. With the change of significant precipitation, forest may go through density change around globe at different spatial and temporal scale. The 100 class high resolution (60 meter spatial resolution) Indian vegetation type map was used in this study recoded into four broad categories depending on phrenology as (i) forest, (ii) scrubland, (iii) grassland and (iv) treeless area. The percentage occupancy of forest, scrub, grass and treeless were observed as 19.9 %, 5.05 %, 1.89 % and 7.79 % respectively. Rest of the 65.37 % land area was occupied by the cropland, built-up, water body and snow covers. The majority forest cover were appended into a 5 km × 5 km grid, along with the mean annual precipitation taken from Bioclim data. The binary presence and absence of different vegetation categories in relates to the annual precipitation was analyzed to calculate their resilience expressed in probability values ranging from 0 to 1. Forest cover observed having resilience probability (Pr) < 0.3 in only 0.3 % (200 km2) of total forest cover in India, which was 4.3 % < 0.5 Pr. Majority of the scrubs and grass (64.92 % Pr < 0.5) from North East India which were the shifting cultivation lands showing low resilience, having their high tendency to be transform to forest. These results have spatial explicitness to highlight the resilient and non-resilient distribution of forest, scrub and grass, and treeless areas in India.
HIGH RESOLUTION SEAMLESS DOM GENERATION OVER CHANG'E-5 LANDING AREA USING LROC NAC IMAGES
Authors: Di K. , Jia M. , Xin X. , Liu B. , Liu Z. , Peng M. , Yue Z.
Published: April 2018

Abstract. Chang’e-5, China’s first sample return lunar mission, will be launched in 2019, and the planned landing area is near Mons Rümker in Oceanus Procellarum. High-resolution and high-precision mapping of the landing area is of great importance for supporting scientific analysis and safe landing. This paper proposes a systematic method for large area seamless digital orthophoto map (DOM) generation, and presents the mapping result of Chang’e-5 landing area using over 700 LROC NAC images. The developed method mainly consists of two stages of data processing: stage 1 includes subarea block adjustment with rational function model (RFM) and seamless subarea DOM generation; stage 2 includes whole area adjustment through registration of the subarea DOMs with thin plate spline model and seamless DOM mosaicking. The resultant seamless DOM coves a large area (20° longitude × 4° latitude) and is tied to the widely used reference DEM – SLDEM2015. As a result, the RMS errors of the tie points are all around half pixel in image space, indicating a high internal precision; the RMS errors of the control points are about one grid cell size of SLDEM2015, indicating that the resultant DOM is tied to SLDEM2015 well.
THE DETERMINATION METHOD OF EXTREME EARTHQUAKE DISASTER AREA BASED ON THE DUST DETECTION RESULT FROM GF-4 DATA
Authors: Dou A. , Ding L. , Chen M. , Wang X.
Published: April 2018

Abstract. The remote sensing has played an important role in many earthquake emergencies by rapidly providing the building damage, road damage, landslide and other disaster information. The earthquake in the mountains often caused to the loosening of the mountains and the blowing of the dust in the epicentre area. The dust particles are more serious in the epicentre area than the other disaster area. Basis on the analysis of abnormal spectrum characteristics, the dust detection methods from medium and high resolutions satellite imagery are studied in order to determinate the extreme earthquake disaster area. The results indicate the distribution of extreme disaster can be acquired using the dust detection information from imagery, which can provide great help for disaster intensity assessment.
RETRIEVAL AND MAPPING OF HEAVY METAL CONCENTRATION IN SOIL USING TIME SERIES LANDSAT 8 IMAGERY
Authors: Fang Y. , Xu L. , Peng J. , Wang H. , Wong A. , Clausi D. A.
Published: April 2018

Abstract. Heavy metal pollution is a critical global environmental problem which has always been a concern. Traditional approach to obtain heavy metal concentration relying on field sampling and lab testing is expensive and time consuming. Although many related studies use spectrometers data to build relational model between heavy metal concentration and spectra information, and then use the model to perform prediction using the hyperspectral imagery, this manner can hardly quickly and accurately map soil metal concentration of an area due to the discrepancies between spectrometers data and remote sensing imagery. Taking the advantage of easy accessibility of Landsat 8 data, this study utilizes Landsat 8 imagery to retrieve soil Cu concentration and mapping its distribution in the study area. To enlarge the spectral information for more accurate retrieval and mapping, 11 single date Landsat 8 imagery from 2013–2017 are selected to form a time series imagery. Three regression methods, partial least square regression (PLSR), artificial neural network (ANN) and support vector regression (SVR) are used to model construction. By comparing these models unbiasedly, the best model are selected to mapping Cu concentration distribution. The produced distribution map shows a good spatial autocorrelation and consistency with the mining area locations.
AUTOMATIC REGISTRATION OF GF4 PMS: A HIGH RESOLUTION MULTI-SPECTRAL SENSOR ON BOARD A SATELLITE ON GEOSTATIONARY ORBIT
Authors: Gao M. , Li J.
Published: April 2018

Abstract. Geometric correction is an important preprocessing process in the application of GF4 PMS image. The method of geometric correction that is based on the manual selection of geometric control points is time-consuming and laborious. The more common method, based on a reference image, is automatic image registration. This method involves several steps and parameters. For the multi-spectral sensor GF4 PMS, it is necessary for us to identify the best combination of parameters and steps. This study mainly focuses on the following issues: necessity of Rational Polynomial Coefficients (RPC) correction before automatic registration, base band in the automatic registration and configuration of GF4 PMS spatial resolution.
PURIFICATION OF TRAINING SAMPLES BASED ON SPECTRAL FEATURE AND SUPERPIXEL SEGMENTATION
Authors: Guan X. , Qi W. , He J. , Wen Q. , Chen T. , Wang Z.
Published: April 2018

Abstract. Remote sensing image classification is an effective way to extract information from large volumes of high-spatial resolution remote sensing images. Generally, supervised image classification relies on abundant and high-precision training data, which is often manually interpreted by human experts to provide ground truth for training and evaluating the performance of the classifier. Remote sensing enterprises accumulated lots of manually interpreted products from early lower-spatial resolution remote sensing images by executing their routine research and business programs. However, these manually interpreted products may not match the very high resolution (VHR) image properly because of different dates or spatial resolution of both data, thus, hindering suitability of manually interpreted products in training classification models, or small coverage area of these manually interpreted products. We also face similar problems in our laboratory in 21st Century Aerospace Technology Co. Ltd (short for 21AT). In this work, we propose a method to purify the interpreted product to match newly available VHRI data and provide the best training data for supervised image classifiers in VHR image classification. And results indicate that our proposed method can efficiently purify the input data for future machine learning use.
AN EXPLORATORY STUDY OF CIVIL SERVANTS SPATIAL THINKING, AWARENESS AND USE OF MAPS IN AFRICA-NIGERIA
Authors: Asiyanbola R. A.
Published: April 2018

Abstract. The paper is an exploratory study of spatial thinking, awareness and use of maps among civil servants in Nigeria with a view towards enhancing capacity building in the development and use of global mapping and geospatial information technologies products and services. The data used in the paper was from administration of 152 questionnaires to civil servants in Ibadan, Oyo State, Nigeria between February and August, 2017. Descriptive statistics were used to analyse the data. The study shows among others that majority of the civil servants had situations in their daily lives or specialty that require spatial thinking; the three top situations in their daily lives or specialty that require spatial thinking were identification of places, wayfinding and walking; majority of them asked from people information about location, direction, distances and other needed information about places they do not know; majority of them were aware of maps; majority of them could read maps; majority of them had interest to learn more how to read maps and were willing to pay for the training.
RETRIEVAL OF AEROSOL MICROPHYSICAL PROPERTIES BASED ON THE OPTIMAL ESTIMATION METHOD: INFORMATION CONTENT ANALYSIS FOR SATELLITE POLARIMETRIC REMOTE SENSING MEASUREMENTS
Authors: Hou W. Z. , Li Z. Q. , Zheng F. X. , Qie L. L.
Published: April 2018

Abstract. This paper evaluates the information content for the retrieval of key aerosol microphysical and surface properties for multispectral single-viewing satellite polarimetric measurements cantered at 410, 443, 555, 670, 865, 1610 and 2250 nm over bright land. To conduct the information content analysis, the synthetic data are simulated by the Unified Linearized Vector Radiative Transfer Model (UNLVTM) with the intensity and polarization together over bare soil surface for various scenarios. Following the optimal estimation theory, a principal component analysis method is employed to reconstruct the multispectral surface reflectance from 410 nm to 2250 nm, and then integrated with a linear one-parametric BPDF model to represent the contribution of polarized surface reflectance, thus further to decouple the surface-atmosphere contribution from the TOA measurements. Focusing on two different aerosol models with the aerosol optical depth equal to 0.8 at 550 nm, the total DFS and DFS component of each retrieval aerosol and surface parameter are analysed. The DFS results show that the key aerosol microphysical properties, such as the fine- and coarse-mode columnar volume concentration, the effective radius and the real part of complex refractive index at 550 nm, could be well retrieved with the surface parameters simultaneously over bare soil surface type. The findings of this study can provide the guidance to the inversion algorithm development over bright surface land by taking full use of the single-viewing satellite polarimetric measurements.
A NOVEL FRAMEWORK FOR REMOTE SENSING IMAGE SCENE CLASSIFICATION
Authors: Jiang S. , Zhao H. , Wu W. , Tan Q.
Published: April 2018

Abstract. High resolution remote sensing (HRRS) images scene classification aims to label an image with a specific semantic category. HRRS images contain more details of the ground objects and their spatial distribution patterns than low spatial resolution images. Scene classification can bridge the gap between low-level features and high-level semantics. It can be applied in urban planning, target detection and other fields. This paper proposes a novel framework for HRRS images scene classification. This framework combines the convolutional neural network (CNN) and XGBoost, which utilizes CNN as feature extractor and XGBoost as a classifier. Then, this framework is evaluated on two different HRRS images datasets: UC-Merced dataset and NWPU-RESISC45 dataset. Our framework achieved satisfying accuracies on two datasets, which is 95.57 % and 83.35 % respectively. From the experiments result, our framework has been proven to be effective for remote sensing images classification. Furthermore, we believe this framework will be more practical for further HRRS scene classification, since it costs less time on training stage.
RAPID EXTRACTION OF LANDSLIDE AND SPATIAL DISTRIBUTION ANALYSIS AFTER JIUZHAIGOU Ms7.0 EARTHQUAKE BASED ON UAV IMAGES
Authors: Jiao Q. S. , Luo Y. , Shen W. H. , Li Q. , Wang X.
Published: April 2018

Abstract. Jiuzhaigou earthquake led to the collapse of the mountains and formed lots of landslides in Jiuzhaigou scenic spot and surrounding roads which caused road blockage and serious ecological damage. Due to the urgency of the rescue, the authors carried unmanned aerial vehicle (UAV) and entered the disaster area as early as August 9 to obtain the aerial images near the epicenter. On the basis of summarizing the earthquake landslides characteristics in aerial images, by using the object-oriented analysis method, landslides image objects were obtained by multi-scale segmentation, and the feature rule set of each level was automatically built by SEaTH (Separability and Thresholds) algorithm to realize the rapid landslide extraction. Compared with visual interpretation, object-oriented automatic landslides extraction method achieved an accuracy of 94.3 %. The spatial distribution of the earthquake landslide had a significant positive correlation with slope and relief and had a negative correlation with the roughness, but no obvious correlation with the aspect. The relationship between the landslide and the aspect was not found and the probable reason may be that the distance between the study area and the seismogenic fault was too far away. This work provided technical support for the earthquake field emergency, earthquake landslide prediction and disaster loss assessment.
SPATIO-TEMPORAL ASSESSMENT OF MARGALLA HILLS FOREST BY USING LANDSAT IMAGERY FOR YEAR 2000 AND 2018
Authors: Batool R. , Javaid K.
Published: April 2018

Abstract. Environmental imbalance due to human activities has shown serious threat to ecosystem and produced negative impacts. The main goal of this study is to identify, monitor and classify temporal changes of forest cover, build up and open spaces in Margalla Hills National Park, Islamabad. Geographic Information Sciences (GISc) and Remote Sensing (RS) techniques has been used for the assessment of analysis. LANDSAT-7 Enhanced Thematic Mapper (ETM+) and LANDSAT-8 Operational Land Imager (OLI) were utilized for obtaining data of year 2000 and 2018. Temporal changes were evaluated after applying supervised classification and discrimination was analyzed by Per-Pixel based change detection. Results depicts forest cover decrease from 87 % to 74 % whereas build up has increased from 5 % to 7 % over the span. Consequences also justify the presence of open land in study area that has been increased from 2 % to 7 % respectively.
SHIP DETECTION BASED ON MULTIPLE FEATURES IN RANDOM FOREST MODEL FOR HYPERSPECTRAL IMAGES
Authors: Li N. , Ding L. , Zhao H. , Shi J. , Wang D. , Gong X.
Published: April 2018

Abstract. A novel method for detecting ships which aim to make full use of both the spatial and spectral information from hyperspectral images is proposed. Firstly, the band which is high signal-noise ratio in the range of near infrared or short-wave infrared spectrum, is used to segment land and sea on Otsu threshold segmentation method. Secondly, multiple features that include spectral and texture features are extracted from hyperspectral images. Principal components analysis (PCA) is used to extract spectral features, the Grey Level Co-occurrence Matrix (GLCM) is used to extract texture features. Finally, Random Forest (RF) model is introduced to detect ships based on the extracted features. To illustrate the effectiveness of the method, we carry out experiments over the EO-1 data by comparing single feature and different multiple features. Compared with the traditional single feature method and Support Vector Machine (SVM) model, the proposed method can stably achieve the target detection of ships under complex background and can effectively improve the detection accuracy of ships.
ATMOSPHERIC PHASE DELAY CORRECTION OF D-INSAR BASED ON SENTINEL-1A
Authors: Li X. , Huang G. , Kong Q.
Published: April 2018

Abstract. In this paper, we used the Generic Atmospheric Correction Online Service for InSAR (GACOS) tropospheric delay maps to correct the atmospheric phase delay of the differential interferometric synthetic aperture radar (D-InSAR) monitoring, and we improved the accuracy of subsidence monitoring using D-InSAR technology. Atmospheric phase delay, as one of the most important errors that limit the monitoring accuracy of InSAR, would lead to the masking of true phase in subsidence monitoring. For the problem, this paper used the Sentinel-1A images and the tropospheric delay maps got from GACOS to monitor the subsidence of the Yellow River Delta in Shandong Province. The conventional D-InSAR processing was performed using the GAMMA software. The MATLAB codes were used to correct the atmospheric delay of the D-InSAR results. The results before and after the atmospheric phase delay correction were verified and analyzed in the main subsidence area. The experimental results show that atmospheric phase influences the deformation results to a certain extent. After the correction, the measurement error of vertical deformation is reduced by about 18 mm, which proves that the removal of atmospheric effects can improve the accuracy of the D-InSAR monitoring.
The Cultural Dimensions Presented in the 'English World 8' Textbook
Authors: Dweik Bader Saed , Qawar Linda A.
Published: April 2018

This study aims to investigate the cultural content embedded in the 'English World 8' textbook which is adopted by some Jordanian private schools and to highlight the levels of representation assigned to British, World and Arabic cultures. To achieve these goals, the researchers have designed a cultural checklist based on a criterion comprising 19 items representing personal names, places and countries, entertainment, ecology, customs, technology, social behavior, education, history, family, politics, man and woman relationship, communications, transportations, nutrition, sciences, economy, literature and religion. Results show that personal names, places & countries, entertainment and ecology, on the one hand, are the most prevailing cultural aspects in the textbook. On the other hand, religion is not represented at all. Results also reveal that 'English World 8' is heavily loaded with British and World cultures while the Arabic cultural elements are almost lacking.
Reviewer Acknowledgements for Computer and Information Science, Vol. 11, No. 2
Authors: Lee Chris
Published: April 2018

Reviewer Acknowledgements for Computer and Information Science, Vol. 11, No. 2
The Impact of Mobile Application Support on the Quality of Care of Kidney Patients
Authors: Jamjoom Arwa A.
Published: April 2018

The adaptation of mobile application is supportive for the discharge patients in less amount of time. The use of mobile application enables physicians to detect the possible implications of treatment at an early stage. The study aims to provide a support and prevention application for kidney failure patients to monitor their diet, receive notifications for taking medicines, get a reminder of dialysis, and conduct easy communication between the doctors and patients. For this purpose, the study has supported the implementation and usage of Kidney Failure Care Application (KFCA). The software architecture of this application aids in the understanding of how the system would behave. The results have shown that the application has eased the communication with their respective doctors, and their diet was also monitored effectively. An average success rate of 80% was observed as a result of testing KFCA application.
The Effects of Antioxidant Application and Time Factor on Fiber Post Bonding to Root Dentin after Intracoronal Bleaching
Authors: Aslan Tuğrul , Üstün Yakup , Sağsen Burak , Şener İbrahim , Biricik Eda , Tatlı Şifa
Published: April 2018

Aim: The aim was to evaluate the effects of antioxidant application and delayed cementation on the bond strength of fiber posts after intracoronal bleaching.

Methodology: Fifty-five maxillary central incisors were used. Root canals were enlarged using Reciproc system up to R40 instrument. Root canals were irrigated, dried with paper-points, and obturated with gutta-percha and a sealer. In 44 teeth, root canal fillings were removed 2-mm coronally and canal orificies were sealed with glass-ionomer-cement. A 37% CP gel was used to bleach the teeth. Five experimental groups were defined (n=11). G1: No bleaching, G2: Immediate FPC, G3: Immediate FPC after SA application, G4: 14-days delayed FPC, G5: 14-days delayed FPC after SA application. Push-out tests were performed. Statistical interpretations were made (α=0.05).

Results: There was no significant difference among the groups in apical thirds (p>0.05). However, significant differences were detected among the groups in middle and coronal thirds (p<0.05).

Conclusion: The 14-days delayed cementation seems to be a more reliable method than the SA application before FPC procedure after intracoronal bleaching.
Pulmonary Tuberculosis Mimicking Lung Cancer Progression after 10 Years of Cancer Remission
Authors: Fijołek Justyna , Wiatr Elzbieta , Polubiec-Kownacka Malgorzata , Blasińska-Przerwa Katarzyna , Szolkowska Malgorzata , Szczepulska-Wojcik Ewa , Roszkowski-Sliz Kazimierz
Published: April 2018

Differentiation between pulmonary tuberculosis and lung cancer is often challenging for clinicians, especially that both conditions can coexist. This is due to the fact that the clinical and radiological symptoms of both diseases can be similar. Our Case Report presents a patient who was treated for advanced lung cancer 10 years earlier and currently has been hospitalized again because of a strong clinical and radiological suspicion of the cancer progression, but whose final diagnosis was tuberculosis.
USE OF THE ADDRESS REGISTER DATA IN LOCATIONBASED
SERVICES
Authors: IZDEBSKI WALDEMAR , KURSA MICHAŁ
Published: April 2018

Address register is one of the basic and most commonly used spatial data
records. One of its uses is finding addresses in location-based services (geocoding),
which for the specified address (city, street, number) return the
position in the form of coordinates. The paper presents a comparison of
two services: ULA (Usługa Lokalizacji Adresów from Geo-System) and
OpenLS (available as a part of the Polish national geoportal). The analysis
includes both theoretical aspects (amount of data in the resource, its timeliness,
documentation, request and response formats), as well as practical
- in the form of testing the performance and accuracy of both services.
MANAGEMENT OF NITROGEN FERTILIZERS IN EUROPE IN TERMS OF THEIR IMPACT ON THE ENVIRONMENT
Authors: Ossowska Magdalena
Published: April 2018

The aim of this review is to analyse the tendencies of nitrogen fertilizers use in Europe and evaluation how those trends will affect the natural environment. The main sources of information included reports from the EU institutions and European countries, as well as reviews and research of various research facilities. In the last decades the environmental policies and a high price of fertilizers reduced use of nitrogen fertilizers in the Western Europe, but in comparing to other world regions the N input remains very high. In the countries of Central and Eastern Europe, N fertilizers use increased in the 20th century, and the total reactive N used in agriculture in all 28 EU countries also increased in this period. Nitrogen losses to the environment are inevitable and the current trends in N fertilizers use will lead to further coastal eutrophication, air pollution and drinking water contamination.
HEAVY METALS IN THE UNDERGROUND AND ABOVEGROUND PARTS OF THE RED BEET (BETA VULGARIS) GROWN IN THE DIRECT SURROUNDINGS OF THE TAILINGS POND „ŻELAZNY MOST"
Authors: Kałuża Andrea , Musztyfaga Elżbieta , Kozak Marta , Gałka Agnieszka , Kabała Maciej
Published: April 2018

The work included issues related to the analysis of the current impact of the tailings pond Żelazny Most on the content of heavy metals in red beets grown in home gardens located in the villages of Tarnówek and Komorniki. Analyzes of the contents of Cu, Zn, Pb, Cd show that consumption of the above- and underground parts of rot beet may adversely affect the health of people living there.
HISTORICAL LIGNITE MINING NEAR GÓRZYCA, WESTERN POLAND
Authors: Gontaszewska-Piekarz Agnieszka
Published: April 2018

The paper presents available information about history of lignite mining in region of Górzyca (north-west part of Ziemia Lubuska - Western Poland). Lignite mines operated here in years 1850-1938. The paper describes briefly the history of particular mines:„Lord”, „Karl Ferdinand”, „Humboldt” and „Finke”. Also underground mining in complicated geological condition (glaciotectonic deformations) was presented. The paper is based on remained German archival materials and also historical map: geological and topographic.
THE APPLICATION OF SURVEYING EQUIPMENT IN THE RESCUE OPERATIONS OF STATE FIRE SERVICE
Authors: Derezińska Agnieszka
Published: April 2018

The article describes the use of surveying equipment in the rescue work of the State Fire Service. The role of geodesy is becoming increasingly important in their operations, which is why they are more and more interested in the application of surveying techniques discussed below in the context of the various types of events. The use of a theodolite, a total station and a scanstation is shown during real accidents as well as during exercises and measurements taken in the simulated events.
Investigating the cognitive mechanisms of music listening interventions in pain management settings: A Scoping Review Protocol
Authors: Howlin Claire , Guerin Suzanne , Rooney Bendan
Published: April 2018

Aim: The aim of this review is to examine what is known from the existing literature about the characteristics of effective music listening interventions used in analgesic settings. Background: While meta-analyses demonstrate the effectiveness of music listening interventions, regardless of whether they are classed as music medicine or music therapy, it is not yet clear how the positive effects of music listening interventions (MLIs) are mediated. The absence of defined cognitive mechanisms coincides with inconsistencies in terms of how MLIs are delivered and evaluated with wide variability in terms of duration, frequency, style, genre, equipment, preparation, choice, rationale, personnel adopted and often a lack of suitable controls. Future improvement and refinement of MLIs depends on identifying the characteristics that mediate analgesic effects.Design: The protocol was designed using the principles from Arksey and O’Malley (2005) and Levac (2010).Methods: The protocol includes decisions about the review objectives, search strategy, inclusion/exclusion criteria, article selection process, data charting and synthesis and quality assessment.Discussion: The scoping review will help to identify what is known from the existing literature about the characteristics of effective MLIs used in analgesic settings and will contribute to guidance on optimal MLI design.
The ontology of person-centered healthcare: Theoretical essentials to reground medicine within its humanistic framework - Editorial Overview
Authors: Frölich Thomas , Bevier F F , Babakhani Alicja , Chisholm Hannah H , Henningsen Peter , Miall David S , Sandberg Seija , Schmitt Argogast
Published: April 2018

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Elizabeth MacKinlay & Corinne Trevitt. (2015). Facilitating Spiritual Reminiscence for People with Dementia: A Learning Guide. London: Jessica Kingsley Publishers. ISBN 978-1-84905-573-4
Authors: Lindsay Margot Elizabeth Virginia
Published: April 2018

No abstract
Combining touch with technique: fusing technology with the art of medicine
Authors: Weiss Joshua , Yau Maggie , Oleske James M
Published: April 2018

It does not take long walking through a modern hospital to appreciate how much the practice of medicine is influenced by advanced technology that impacts diagnosis and treatment as well as greatly enhancing overall patient outcomes. This technology has allowed us to increase diagnostic efficiency and accuracy as well as managing complex illnesses. However, these advances in diagnosis and medical/surgical management have sometimes led to a sacrifice in the patient-doctor relationship that has impeded patient’s perception of personal interaction and care leading to a climate of distance and distrust. Ultimately, if a patient is diagnosed correctly with minimal care and compassion, have we truly met our responsibilities as physicians? Lacking in the current teaching of medicine is often an explicit discussion of the importance of touch as a therapeutic modality rather than just a consequence of a thorough physical examination. Allopathic medicine would do well to incorporate the basic principles of osteopathic medicine’s emphasis on touch in the everyday practice of medicine. Physicians can provide compassionate care only when empathy is present, which is reinforced by direct contact with patients. Technology should be used to supplement, not replace, the physician-patient relationship. The great challenge in medicine is not in the learning of our professional skills, rather it is in its competent and compassionate administration within the confines of the modern medical world. Within the constant spectre of disease and its complications, our central role as physicians is to blend the technology to diagnose and treat with the compassion and imperative to relieve suffering and by doing so, adding to the joy of life.
US Food and Drug Administration Approval of Whole Slide Imaging for Primary Diagnosis: A Key Milestone Is Reached and New Questions Are Raised
Authors: Evans Andrew J. , Bauer Thomas W. , Bui Marilyn M. , Cornish Toby C. , Duncan Helena , Glassy Eric F. , Hipp Jason , McGee Robert S. , Murphy Doug , Myers Charles , O'Neill Dennis G. , Parwani Anil V. , Rampy B. Alan , Salama Mohamed E. , Pantanowitz Liron
Published: April 2018

April 12, 2017 marked a significant day in the evolution of digital pathology in the United States, when the US Food and Drug Administration announced its approval of the Philips IntelliSite Pathology Solution for primary diagnosis in surgical pathology. Although this event is expected to facilitate more widespread adoption of whole slide imaging for clinical applications in the United States, it also raises a number of questions as to the means by which pathologists might choose to incorporate this technology into their clinical practice. This article from the College of American Pathologists Digital Pathology Committee reviews frequently asked questions on this topic and provides answers based on currently available information.
Coopération réglementaire et accords de commerce
Authors: Deblock Christian , Wells Guy-Philippe
Published: April 2018

L’une des grandes particularités du régionalisme de troisième génération est d’inclure des mécanismes institutionnels destinés à rapprocher les systèmes réglementaires des participants. Deux accords, l’aecg et le ptp, ont été conclus récemment et tous deux comprennent un chapitre spécifique sur la coopération en matière de réglementation. Ce thème figure également à l’ordre du jour des négociations commerciales entre les États-Unis et l’Union européenne. Il en est le sujet principal, et la principale pierre d’achoppement. Notre article montre le lien qui existe entre les dispositions touchant aux réglementations contenues dans ces nouveaux accords et les débats sur la coopération réglementaire qui se font à d’autres niveaux, notamment à l’omc et à l’ocde. Il revient aussi sur les nouveaux paramètres de cette coopération et compare les dispositions réglementaires contenues dans les textes des deux accords dont nous disposons.
L’état des négociations du traité de libre-échange transpacifique en Asie du Sud-Est
Authors: Mottet Éric
Published: April 2018

Cet article analyse l’état d’avancement du projet de traité de libre-échange transpacifique et les motivations des pays sud-asiatiques. Il cherche à expliquer les raisons de la grande difficulté, voire de l’incapacité, à mettre en pratique un accord pourtant officiellement adopté par quatre pays de l’Asean (Anaseen français). Nous défendons l’idée que les pays d’Asie du Sud-Est, lieu d’une lutte géopolitique entre la Chine et les États-Unis, collaborent ponctuellement selon leurs intérêts propres, ce qui les empêche de saisir collectivement l’opportunité de cette nouvelle ère de coopération internationale. Ce document traduit surtout la perte d’influence progressive des États-Unis en Asie du Sud-Est et met en exergue la politique d’affirmation de la Chine et son pouvoir d’attraction.
L’Inde et le Partenariat transpacifique, un réveil au rcep
Authors: Granger Serge
Published: April 2018

À la croisée des chemins, l’Inde doit conclure plusieurs accords de libre-échange afin de développer son parc industriel et multiplier ses exportations. L’annonce d’une entente commerciale au sein du Partenariat transpacifique (ptp) exerce des pressions sur l’accélération de ses propres négociations avec ses partenaires économiques. Pour l’Inde, l’Asie de l’Est demeure une cible de choix si l’on se fie au retour de la « Look East » policy. Néanmoins, l’Inde doit composer avec la puissance chinoise, qui demeure un acteur incontournable dans les négociations commerciales comme le Regional Comprehensive Economic Partnership (rcep). Cet article rapporte les réactions indiennes au ptp et souligne les conséquences d’un tel accord sur l’Inde.
Politiques étrangères et étranges politiques
Authors: Adraoui Mohamed-Ali
Published: April 2018

Cet article examine la genèse ainsi que les fondements de la vision des relations internationales telle qu’on l’observe au sein de certains mouvements de l’islam politique. En passant en revue les principes sur lesquels reposent la conception de la politique mondiale chez les auteurs de référence de cette doctrine, nous faisons ainsi la lumière sur les constantes et les ruptures qui caractérisent l’islamisme en tant que pensée des rapports de force mondiaux. En outre, cette contribution met également en lumière, à partir de cas précis (Frères musulmans égyptiens, Ennahda en Tunisie et Parti de la Justice et du Développement au Maroc), l’importance des contextes nationaux dans les évolutions doctrinales relatives à ces mouvements, concluant que l’une des grilles de lecture et d’interprétation les plus pertinentes à mobiliser pour le chercheur souhaitant s’intéresser à la vision des relations internationales dans l’islam politique est certainement le constructivisme, tant la place des constructions idéelles se révèle centrale dans l’univers islamiste.