bluuebunny/crossref_metadata_2025 huggingface dataset:
AN IMPROVED PDR INDOOR LOCAION ALGORITHM BASED ON PROBABILISTIC CONSTRAINTS
Authors: You Y. , Zhang T. , Liu Y. , Lu Y. , Chu X. , Feng C. , Liu S.
Published: September 2017

Abstract. In this paper, we proposed an indoor pedestrian positioning method which is probabilistic constrained by "multi-target encounter" when the initial position is known. The method is based on the Pedestrian Dead Reckoning (PDR) method. According to the PDR method of positioning error size and indoor road network structure, the buffer distance is determined reasonably and the buffer centering on the PDR location is generated. At the same time, key nodes are selected based on indoor network. In the premise of knowing the distance between multiple key nodes, the forward distance of pedestrians which entered from different nodes can be calculated and then we sum their distances and compared with the known distance between the key nodes, which determines whether pedestrians meet. When pedestrians meet, each two are seen as a cluster. The algorithm determines whether the range of the intersection of the buffer meet the conditions. When the condition is satisfied, the centre of the intersection area is taken as the pedestrian position. At the same time, based on the angle mutation of pedestrian which caused by the special structure of the indoor staircase, the pedestrian's location is matched to the real location of the key landmark (staircase). Then the cumulative error of the PDR method is eliminated. The method can locate more than one person at the same time, as long as you know the true location of a person, you can also know everyone’s real location in the same cluster and efficiently achieve indoor pedestrian positioning.
SEMANTIC LABELLING OF ROAD FURNITURE IN MOBILE LASER SCANNING
DATA
Authors: Li F. , Oude Elberink S. , Vosselman G.
Published: September 2017

Abstract. Road furniture semantic labelling is vital for large scale mapping and autonomous driving systems. Much research has been investigated on road furniture interpretation in both 2D images and 3D point clouds. Precise interpretation of road furniture in mobile laser scanning data still remains unexplored. In this paper, a novel method is proposed to interpret road furniture based on their logical relations and functionalities. Our work represents the most detailed interpretation of road furniture in mobile laser scanning data. 93.3 % of poles are correctly extracted and all of them are correctly recognised. 94.3 % of street light heads are detected and 76.9 % of them are correctly identified. Despite errors arising from the recognition of other components, our framework provides a promising solution to automatically map road furniture at a detailed level in urban environments.
BIOMASS BURNING RELATED POLLUTIONS AND THEIR CONTRIBUTIONS TO THE
LOCAL AIR QUALITY IN HONG KONG
Authors: Chan K. L. , Qin K.
Published: September 2017

Abstract. In this study, we present a quantitative estimation of the impacts of biomass burning emissions from different source regions to the local air quality in Hong Kong in 2014 using global chemistry transport model simulations, sun photometer measurements, satellite observations and local monitoring network data. This study focuses on two major biomass burning pollutants, black carbon aerosols and carbon monoxide (CO). The model simulations of atmospheric black carbon and CO show excellent agreement with sun photometer aerosol optical depth (AOD) measurements, satellite CO columns observations and local monitoring stations data. From the model simulation results, we estimated that biomass burning contributes 12 % of total black carbon and 16 % of atmospheric CO in Hong Kong on annual average. South East Asia shows the largest influence to the black carbon and CO levels in Hong Kong, accounts for 11 % of the total atmospheric black carbon and 8 % of CO. Biomass burning in North East Asia and Africa also show significant impacts to Hong Kong. Elevated levels of atmospheric black carbon aerosols and CO were observed during springtime (March and April) which is mainly due to the enhancement of biomass burning contributions. Black carbon and CO originating from biomass burning sources are estimated to contribute 40 % of atmospheric black carbon and 28 % of CO in Hong Kong during March 2014. An investigation focusing on the biomass burning pollution episode during springtime suggests the intensified biomass burning activities in the Indochinese Peninsula are the major sources of black carbon and CO in Hong Kong during the time.
POINT CLOUD MODELLING BASED ON THE TUNNEL AXIS AND BLOCK ESTIMATION FOR MONITORING THE BADALING TUNNEL, CHINA
Authors: Wang J. , Zheng H. B. , Huang H. , Ma G. W.
Published: September 2017

Abstract. Recent years have witnessed a growing investigation of terrestrial laser scanning (TLS) for monitoring the deformation of tunnels. TLS provides the ability to obtain a more accurate and complete description of the tunnel surfaces, allowing the determination of the mechanism and magnitude of tunnel deformation, because the entire surface of the tunnel is more concretely modelled rather than being represented by a number of points. This paper models and analyses the point clouds from TLS to detect the possible deformation of a newly built tunnel. In the application of monitoring the Badaling Tunnel for the Winter Olympics 2020 in Beijing, China, the proposed method includes the following components: the tunnel axis is automatically estimated based on a 3D quadratic form estimation; all of the point clouds are segmented into axis-based blocks; and representative points, solved by a singular value decomposition (SVD) method, are estimated to describe the tunnel surface and establish the correspondence of data between days. The deformations are detected in the form of the distance discrepancies of representative points and verified by the measurements using total station.
STATISTICAL SENSOR FUSION OF A 9-DOF MEMS IMU FOR INDOOR NAVIGATION
Authors: Chow J. C. K.
Published: September 2017

Abstract. Sensor fusion of a MEMS IMU with a magnetometer is a popular system design, because such 9-DoF (degrees of freedom) systems are capable of achieving drift-free 3D orientation tracking. However, these systems are often vulnerable to ambient magnetic distortions and lack useful position information; in the absence of external position aiding (e.g. satellite/ultra-wideband positioning systems) the dead-reckoned position accuracy from a 9-DoF MEMS IMU deteriorates rapidly due to unmodelled errors. Positioning information is valuable in many satellite-denied geomatics applications (e.g. indoor navigation, location-based services, etc.). This paper proposes an improved 9-DoF IMU indoor pose tracking method using batch optimization. By adopting a robust in-situ user self-calibration approach to model the systematic errors of the accelerometer, gyroscope, and magnetometer simultaneously in a tightly-coupled post-processed least-squares framework, the accuracy of the estimated trajectory from a 9-DoF MEMS IMU can be improved. Through a combination of relative magnetic measurement updates and a robust weight function, the method is able to tolerate a high level of magnetic distortions. The proposed auto-calibration method was tested in-use under various heterogeneous magnetic field conditions to mimic a person walking with the sensor in their pocket, a person checking their phone, and a person walking with a smartwatch. In these experiments, the presented algorithm improved the in-situ dead-reckoning orientation accuracy by 79.8–89.5 % and the dead-reckoned positioning accuracy by 72.9–92.8 %, thus reducing the relative positioning error from metre-level to decimetre-level after ten seconds of integration, without making assumptions about the user’s dynamics.
DRIFT-FREE INDOOR NAVIGATION USING SIMULTANEOUS LOCALIZATION AND MAPPING OF THE AMBIENT HETEROGENEOUS MAGNETIC FIELD
Authors: Chow J. C. K.
Published: September 2017

Abstract. In the absence of external reference position information (e.g. surveyed targets or Global Navigation Satellite Systems) Simultaneous Localization and Mapping (SLAM) has proven to be an effective method for indoor navigation. The positioning drift can be reduced with regular loop-closures and global relaxation as the backend, thus achieving a good balance between exploration and exploitation. Although vision-based systems like laser scanners are typically deployed for SLAM, these sensors are heavy, energy inefficient, and expensive, making them unattractive for wearables or smartphone applications. However, the concept of SLAM can be extended to non-optical systems such as magnetometers. Instead of matching features such as walls and furniture using some variation of the Iterative Closest Point algorithm, the local magnetic field can be matched to provide loop-closure and global trajectory updates in a Gaussian Process (GP) SLAM framework. With a MEMS-based inertial measurement unit providing a continuous trajectory, and the matching of locally distinct magnetic field maps, experimental results in this paper show that a drift-free navigation solution in an indoor environment with millimetre-level accuracy can be achieved. The GP-SLAM approach presented can be formulated as a maximum a posteriori estimation problem and it can naturally perform loop-detection, feature-to-feature distance minimization, global trajectory optimization, and magnetic field map estimation simultaneously. Spatially continuous features (i.e. smooth magnetic field signatures) are used instead of discrete feature correspondences (e.g. point-to-point) as in conventional vision-based SLAM. These position updates from the ambient magnetic field also provide enough information for calibrating the accelerometer bias and gyroscope bias in-use. The only restriction for this method is the need for magnetic disturbances (which is typically not an issue for indoor environments); however, no assumptions are required for the general motion of the sensor (e.g. static periods).
THE DESIGN AND IMPLEMENTATION OF INDOOR LOCALIZATION SYSTEM USING MAGNETIC FIELD BASED ON SMARTPHONE
Authors: Liu J. , Jiang C. , Shi Z.
Published: September 2017

Abstract. Sufficient signal nodes are mostly required to implement indoor localization in mainstream research. Magnetic field take advantage of high precision, stable and reliability, and the reception of magnetic field signals is reliable and uncomplicated, it could be realized by geomagnetic sensor on smartphone, without external device. After the study of indoor positioning technologies, choose the geomagnetic field data as fingerprints to design an indoor localization system based on smartphone. A localization algorithm that appropriate geomagnetic matching is designed, and present filtering algorithm and algorithm for coordinate conversion. With the implement of plot geomagnetic fingerprints, the indoor positioning of smartphone without depending on external devices can be achieved. Finally, an indoor positioning system which is based on Android platform is successfully designed, through the experiments, proved the capability and effectiveness of indoor localization algorithm.
EXTENDED MAPTREE: A REPRESENTATION OF FINE-GRAINED TOPOLOGY AND
SPATIAL HIERARCHY OF BIM
Authors: Wu Y. , Shang J. , Hu X. , Zhou Z.
Published: September 2017

Abstract. Spatial queries play significant roles in exchanging Building Information Modeling (BIM) data and integrating BIM with indoor spatial information. However, topological operators implemented for BIM spatial queries are limited to qualitative relations (e.g. touching, intersecting). To overcome this limitation, we propose an extended maptree model to represent the fine-grained topology and spatial hierarchy of indoor spaces. The model is based on a maptree which consists of combinatorial maps and an adjacency tree. Topological relations (e.g., adjacency, incidence, and covering) derived from BIM are represented explicitly and formally by extended maptrees, which can facilitate the spatial queries of BIM. To construct an extended maptree, we first use a solid model represented by vertical extrusion and boundary representation to generate the isolated 3-cells of combinatorial maps. Then, the spatial relationships defined in IFC are used to sew them together. Furthermore, the incremental edges of extended maptrees are labeled as removed 2-cells. Based on this, we can merge adjacent 3-cells according to the spatial hierarchy of IFC.
THE UNCERTAINTIES ON THE GIS BASED LAND SUITABILITY ASSESSMENT FOR
URBAN AND RURAL PLANNING
Authors: Liu H. , Zhan Q. , Zhan M.
Published: September 2017

Abstract. The majority of the research on the uncertainties of spatial data and spatial analysis focuses on some specific data feature or analysis tool. Few have accomplished the uncertainties of the whole process of an application like planning, making the research of uncertainties detached from practical applications. The paper discusses the uncertainties of the geographical information systems (GIS) based land suitability assessment in planning on the basis of literature review. The uncertainties considered range from index system establishment to the classification of the final result. Methods to reduce the uncertainties arise from the discretization of continuous raster data and the index weight determination are summarized. The paper analyzes the merits and demerits of the “Nature Breaks” method which is broadly used by planners. It also explores the other factors which impact the accuracy of the final classification like the selection of class numbers, intervals and the autocorrelation of the spatial data. In the conclusion part, the paper indicates that the adoption of machine learning methods should be modified to integrate the complexity of land suitability assessment. The work contributes to the application of spatial data and spatial analysis uncertainty research on land suitability assessment, and promotes the scientific level of the later planning and decision-making.
A MAPPING METHOD OF INTEGRATING MULTI-SCALE RIVER THEMATIC MAPS
Authors: Zhang W. , Yue C. , Cui C. , Meng L.
Published: September 2017

Abstract. Small-scale maps are generally used in spatial analysis for fast calculation, but part of important features are missing due to its generalization level, which makes the analysis results less accurate. Therefore, it is necessary to improve feature completeness of smallscale maps. The goal of this paper is to put forward a mapping method of integrating the existing multi-scale river thematic maps. In order to achieve this goal, this paper proposed an algorithm for multi-scale line features matching by calculating the distance from node to polyline and an integrating algorithm by simplifying, shortening and merging the features from the original multi-scale thematic maps. The experimental results proved that the new map produced by the method proposed in this paper keeps the same scale as the original small-scale map and it is consistent with the original large-scale map in terms of feature completeness. The strategy proposed in this paper can be used to produce a new river thematic map concluding all the features that users need; moreover, the new map not only expresses features completely but also takes up less storage.
A NOVEL PROPOSAL OF GAOFEN-3 SATELLITE CONSTELLATION FOR MULTI-APPLICATIONS
Authors: Qiu X. , Ding C. , Lei B. , Han B. , Li F.
Published: September 2017

Abstract. Gaofen-3 is the first C-band fully polarimetric SAR satellite in China, which is widely used in various fields such as ocean monitoring, disaster reduction and so on. In this paper, a new satellite constellation is proposed based on the orbit of Gaofen-3 satellite. The constellation includes Gaofen-3 and other two duplicates. It is able to do repeat-pass interferometry, repeat-pass differential interferometry, along-track interferometry and stereo measurement. With these abilities, it can generate the earth DEM without ground control points and have better performance in moving target identification and monitoring. The performance and the system requirements are analysed, which provides a good reference for the design of spaceborne SAR constellation.
A LANDSAT TIME-SERIES STACKS MODEL FOR DETECTION OF CROPLAND CHANGE
Authors: Chen J. , Chen J. , Zhang J.
Published: September 2017

Abstract. Global, timely, accurate and cost-effective cropland monitoring with a fine spatial resolution will dramatically improve our understanding of the effects of agriculture on greenhouse gases emissions, food safety, and human health. Time-series remote sensing imagery have been shown particularly potential to describe land cover dynamics. The traditional change detection techniques are often not capable of detecting land cover changes within time series that are severely influenced by seasonal difference, which are more likely to generate pseuso changes. Here,we introduced and tested LTSM ( Landsat time-series stacks model), an improved Continuous Change Detection and Classification (CCDC) proposed previously approach to extract spectral trajectories of land surface change using a dense Landsat time-series stacks (LTS). The method is expected to eliminate pseudo changes caused by phenology driven by seasonal patterns. The main idea of the method is that using all available Landsat 8 images within a year, LTSM consisting of two term harmonic function are estimated iteratively for each pixel in each spectral band .LTSM can defines change area by differencing the predicted and observed Landsat images. The LTSM approach was compared with change vector analysis (CVA) method. The results indicated that the LTSM method correctly detected the “true change” without overestimating the “false” one, while CVA pointed out “true change” pixels with a large number of “false changes”. The detection of change areas achieved an overall accuracy of 92.37 %, with a kappa coefficient of 0.676.
PIXEL-BASED LAND COVER CLASSIFICATION BY FUSING HYPERSPECTRAL AND
LIDAR DATA
Authors: Jahan F. , Awrangjeb M.
Published: September 2017

Abstract. Land cover classification has many applications like forest management, urban planning, land use change identification and environment change analysis. The passive sensing of hyperspectral systems can be effective in describing the phenomenology of the observed area over hundreds of (narrow) spectral bands. On the other hand, the active sensing of LiDAR (Light Detection and Ranging) systems can be exploited for characterising topographical information of the area. As a result, the joint use of hyperspectral and LiDAR data provides a source of complementary information, which can greatly assist in the classification of complex classes. In this study, we fuse hyperspectral and LiDAR data for land cover classification. We do a pixel-wise classification on a disjoint set of training and testing samples for five different classes. We propose a new feature combination by fusing features from both hyperspectral and LiDAR, which achieves competent classification accuracy with low feature dimension, while the existing method requires high dimensional feature vector to achieve similar classification result. Also, for the reduction of the dimension of the feature vector, Principal Component Analysis (PCA) is used as it captures the variance of the samples with a limited number of Principal Components (PCs). We tested our classification method using PCA applied on hyperspectral bands only and combined hyperspectral and LiDAR features. Classification with support vector machine (SVM) and decision tree shows that our feature combination achieves better classification accuracy compared to the existing feature combination, while keeping the similar number of PCs. The experimental results also show that decision tree performs better than SVM and requires less execution time.
COMPARISON OF PIXEL-BASED AND OBJECT-BASED CLASSIFICATION USING PARAMETERS AND NON-PARAMETERS APPROACH
FOR THE PATTERN CONSISTENCY OF MULTI SCALE LANDCOVER
Authors: Juniati E. , Arrofiqoh E. N.
Published: September 2017

Abstract. Information extraction from remote sensing data especially land cover can be obtained by digital classification. In practical some people are more comfortable using visual interpretation to retrieve land cover information. However, it is highly influenced by subjectivity and knowledge of interpreter, also takes time in the process. Digital classification can be done in several ways, depend on the defined mapping approach and assumptions on data distribution. The study compared several classifiers method for some data type at the same location. The data used Landsat 8 satellite imagery, SPOT 6 and Orthophotos. In practical, the data used to produce land cover map in 1:50,000 map scale for Landsat, 1:25,000 map scale for SPOT and 1:5,000 map scale for Orthophotos, but using visual interpretation to retrieve information. Maximum likelihood Classifiers (MLC) which use pixel-based and parameters approach applied to such data, and also Artificial Neural Network classifiers which use pixel-based and non-parameters approach applied too. Moreover, this study applied object-based classifiers to the data. The classification system implemented is land cover classification on Indonesia topographic map. The classification applied to data source, which is expected to recognize the pattern and to assess consistency of the land cover map produced by each data. Furthermore, the study analyse benefits and limitations the use of methods.
SUGGESTIONS FOR FORMULATING COLLABORATIVE REMOTE SENSING EMERGENCY PLAN BASED ON CASE STUDIES
Authors: Liu B. , Wang F. , Zheng X. , Qi M.
Published: September 2017

Abstract. With the rapid development of the Remote Sensing (RS) technology, Remote Sensing Services for Emergency Monitoring (RSSEM) are playing a more and more important role in the field of emergency management, where the collaborative RS approaches (including such as Space-Air-Ground platforms) can provide the decision-makers a quick access to the detailed, real-time information about the emergencies. However, there are still some problems in the current mechanism of RSSEM, for example, the inappropriate choices of the collaborative RS approaches, the miscellaneous procedures and so on. It is urgent to formulate a collaborative RS emergency plan for regulating the applications of the RS monitoring approaches in order to be well prepared for the emergency management. In our studies, creating a good collaborative RS emergency plan is the main research objective. This paper is divided into four parts. The Part Ⅰ gives a brief introduction about the research background. The Part Ⅱ investigates four case studies to analyze the applications of the RS technologies under the guidance of the available RS related emergency plans, and then points out the existing problems in the mechanism of the RSSEM. The Part Ⅲ proposes our suggestions for formulating the collaborative RS emergency plan to explore the countermeasures of the problems pointed out in the Part Ⅱ. The last part concludes this paper and discusses the future work of the collaborative RS emergency plan.
STUDY ON SPATIAL-TEMPORAL VARIATION OF HONG LAKE BASED ON VIIRS AND MODIS IMAGES
Authors: Li C. , Zhong Y. , Zhang W.
Published: September 2017

Abstract. Hong Lake is the largest lake in Hubei Province. With the increase of Hong Lake economic activity, the area, spatial location and shape of Hong Lake have changed greatly in the past. In this paper, we used the images, which is from the visible infrared imaging radiometer (VIIRS). First, we selected the images of Hong Lake waters on December 6, 2016 and December 26, 2015. Then we extracted the water bodies by the single-band method, spectral relationship method, normalized difference water index (NDWI) were used, and the effect-s were compared. Second, the images of Hong Lake waters in summer and winter were selected from 2012 to 2016, respectively. Last, The NDWI was used to extract the water body and compared with the MODIS image extraction effect in the same period. As a result of the vegetation around Hong Lake, the water is extracted by NDWI and normalized difference vegetation index (NDVI). It is found that for the VIIRS image, the NDWI is the best in the water extraction of Hong Lake. The NDVI + NDWI method is beneficial to the extraction of water covered with aquatic plants. VIIRS image extraction is better than MODIS image. In addition, from the study of VIIRS and MODIS to Hong Lake waters in the five years of water extraction and area calculation, 2012–2016 period, Hong Lake’s average area of 348.213 km2 in flood season, in dry season average area of 349.163 km2. The largest area for the 2012 flood season 389.751 km2, the smallest area of 2016 flood season 306.177 km2. Overall, Hong Lake’s area changes little.
FAST REGISTRATION OF TERRESTRIAL LIDAR POINT CLOUD AND SEQUENCE IMAGES
Authors: Shao J. , Zhang W. , Zhu Y. , Shen A.
Published: September 2017

Abstract. Image has rich color information, and it can help to promote recognition and classification of point cloud. The registration is an important step in the application of image and point cloud. In order to give the rich texture and color information for LiDAR point cloud, the paper researched a fast registration method of point cloud and sequence images based on the ground-based LiDAR system. First, calculating transformation matrix of one of sequence images based on 2D image and LiDAR point cloud; second, using the relationships of position and attitude information among multi-angle sequence images to calculate all transformation matrixes in the horizontal direction; last, completing the registration of point cloud and sequence images based on the collinear condition of image point, projective center and LiDAR point. The experimental results show that the method is simple and fast, and the stitching error between adjacent images is litter; meanwhile, the overall registration accuracy is high, and the method can be used in engineering application.
RESEARCH ON KEY TECHNOLOGY OF MINING REMOTE SENSING DYNAMIC MONITORING INFORMATION SYSTEM
Authors: Sun J. , Xiang H.
Published: September 2017

Abstract. Problems exist in remote sensing dynamic monitoring of mining are expounded, general idea of building remote sensing dynamic monitoring information system is presented, and timely release of service-oriented remote sensing monitoring results is established. Mobile device-based data verification subsystem is developed using mobile GIS, remote sensing dynamic monitoring information system of mining is constructed, and "timely release, fast handling and timely feedback" rapid response mechanism of remote sensing dynamic monitoring is implemented.
GEOSTATISTICAL SOLUTIONS FOR DOWNSCALING REMOTELY SENSED LAND
SURFACE TEMPERATURE
Authors: Wang Q. , Rodriguez-Galiano V. , Atkinson P. M.
Published: September 2017

Abstract. Remotely sensed land surface temperature (LST) downscaling is an important issue in remote sensing. Geostatistical methods have shown their applicability in downscaling multi/hyperspectral images. In this paper, four geostatistical solutions, including regression kriging (RK), downscaling cokriging (DSCK), kriging with external drift (KED) and area-to-point regression kriging (ATPRK), are applied for downscaling remotely sensed LST. Their differences are analyzed theoretically and the performances are compared experimentally using a Landsat 7 ETM+ dataset. They are also compared to the classical TsHARP method.
A hybrid documentary genre: Animated documentary and the analysis of Waltz with Bashir (2008) Movie
Authors: Ekinci Barış Tolga
Published: September 2017

The word documentary has been described as an advice” in “Oxford English Dictionary” in the late 1800s. Document is a main source of information for lawyers. And in cinema, basic film forms are defined with their own properties. The common sense is to separate documentary from fiction, experimental from main current and animation from the live action films. While these definitions were being made, it has been considered that which expression methods were used. The film genre which is called documentary has been defined in many different ways. In this study, animated documentary genre which is a form of hybrid documentary has been concerned with Baudrillard’s theory. In this context, Ari Folman’s animated documentary Waltz with Bassir (2008) has been analyzed with genre criticism method.
Zippo Marx
Authors: Bright Robin Aaron
Published: September 2017

Goddesses, like Norse Hel, signify love for women, and between women, because `woman`s seed` is the `seed` of Eve represented by Jesus, who was tortured to death by the Romans as a `dissident` Jewish rabbi nailed to a cross of wood on the hill of Calvary outside the city of Jerusalem in occupied Palestine and left there until he died. Jesus` Resurrection and Ascension to heaven thereafter prefigured that of `woman`s seed`, which is why his mother, the Virgin Mary, approaches to the role of goddess in Christianity, because women who`re loved appear to be worshipped as goddesses by those who don`t love women. So God specifically punishes Eve and Adam for accepting that they`ll be `as gods`, because Eve is Adam`s `goddess`, who he`s to love in order to be redeemed through `woman`s seed`, and the birth of human brainpower to liberate the species from host womb slavery in parasitism, which wants ephemerality for humans in order to keep them as slaves without labor saving technologies conferring freedom.
Beyond the screen: Emerging cinema and engaging audiences
Authors: Janes Stephanie
Published: September 2017

Sarah Atkinson, Beyond the Screen: Emerging Cinema and Engaging Audiences. London: Bloomsbury, 2013. 2014. xiii + 293 pp. ISBN 978-1-6235-6637-1
For Those Who Seek Mastery and Personality, by Halit Refiğ
Authors: Akser Murat
Published: September 2017

Halit Refiğ had impact on Turkish national cinema both as a thinker and practitioner. He worked his way up from the 1950s as a film critic and became a film director practicing until the day he died. He also worked along with other directors like Metin Erksan, Lütfi Akad, Memduh Un, Duygu Sagiroglu. Ertem Görec, Nedim Otyam, Ilhan Arakon at Mimar Sinan University’s Turkish Film Institute, the first cinema training department at a University for 25 years training generations of film directors.  This excerpt is from a 1968 film magazine essay.
The Role of Meaningful Work in Employees’ Work-Related and General Well-being
Authors: Wingerden Jessica Van , Stoep Joost Van der
Published: September 2017

This study examines the impact of meaningful work on employees’ work-related well-being (measured as high levels of work engagement and low levels of burnout) and subsequently on employees’ general well-being (that is happiness). Based on the literature on meaningful work and the job demands-resources theory, we hypothesize that meaningful work has a positive relationship with an employee’s general well-being and that this relation is mediated by both increased levels of work engagement and decreased levels of burnout. In order to test the hypothesized relations, we conducted a bootstrapping analysis using a sample of 1 892 employees working in various organizations and occupations in The Netherlands. The results of the analysis provide support for the hypothesized relations, indicating an important role for meaningful work in the on-going pursuit of well-being at home and at work. The main theoretical, practical, and methodological implications of this study are discussed.
Workload, Work Pressure and Interpersonal Deviance in Academia: The Mediating Role of Neutralization
Authors: Adeoti Michael Olalekan , Shamsudin Faridahwati Mohd. , Yen Wan Chong
Published: September 2017

Extant empirical researches on deviant workplace behaviour have concentrated on negative deviant acts directed towards both the organizations (organizational) and its members (interpersonal) simultaneously while others solely focused on deviant behaviours directed at organization and its properties (organizational deviance). However, studies have not investigated interpersonal deviance as a major focus without considering organizational deviance. Drawing from theory of neutralization and job demand control model, the present study examined the mediating role of neutralization on the relationship between workload, work pressure and interpersonal deviance. The data was obtained from 356 academics in public universities in Nigeria. Using partial least square structural equation modeling, results revealed that workload and work pressure were significantly related to interpersonal deviance. On the other hand, neutralization significantly mediated the positive relationship between workload and interpersonal deviance. Similarly, neutralization mediated the relationship between work pressure and interpersonal deviance. Conclusively, it is essential to review the existing workloads and working conditions of faculty members in Nigerian public tertiary institutions with a view of minimizing interpersonal deviance.
Assessing Punctuation Errors Made by Secondary School Students in English Language Comprehension in Ogun State, Nigeria
Authors: Adekola B. Oluwakemi , Lawal Oluseun Fatai
Published: September 2017

This study assessed the errors in English comprehension by Senior Secondary School Students. Errors in Englishpunctuation in this study were categorized as mechanical errors in comprehension with particular emphasis onpunctuation marks and spelling. This study adopted a descriptive research design of ex-post-facto type. The targetgroups for the study were Ogun State Secondary Schools in Nigeria. The samples were drawn from four (4)geo-political zones in Ogun State of Nigeria (Ijebu, Remo, Yewa and Egba). Multi-stage stratified samplingtechnique was used to select five co-educational Secondary Schools from the four geo-political zones. Five schoolswere selected with fifty (50) Secondary Students III (SSS 3) per school totaling two hundred and fifty (250) male andfemale students in each of the divisions. Two instruments, Errors in English Language Comprehension (EELC), andan achievement test in English Language Punctuation (ATELP) were used to collect data from the one thousand(1000) students who were randomly sampled as participants. The validity and reliability of the instrument weredetermined by trial testing. The data were subjected to Chi-square, Analysis of Variance (ANOVA) and PearsonProduct Moment Correlation coefficient. The data were tested for significance at the 0.05 level. Based on thefindings, it was detected that students made more errors in punctuation than in spellings. This could be attributed tolack of knowledge and understanding of common mistakes made in English. Part of the recommendations made wasthat; teachers should concentrate on areas of difficulties such as comma, colon and semi-colon for students.
Case: Anuria and acute renal failure post-endoscopic valve ablation and Foley catheter insertion in a newborn with a small-capacity, non-compliant bladder
Authors: Dekirmendjian Adriana , McGrath Melissa , Braga Luis H.
Published: September 2017

N/A
Early studies on the effect of peptide growth factor phytosulfokine-α on Brassica oleracea var. capitata L. protoplasts
Authors: Kiełkowska Agnieszka , Adamus Adela
Published: September 2017

Phytosulfokines (PSK) are peptidyl growth factors with the potential of inducing cell proliferation. We examined the effect of supplementation of liquid culture medium with 0.1 µM phytosulfokine-α (PSK-α) on protoplast viability and division frequencies in seven accessions of Brassica oleracea var. capitata L., including cultivars and breeding lines. Protoplasts were isolated from leaves and hypocotyls of in vitro grown plants and immobilized in calcium-alginate layers. Cabbage protoplast-derived cells cultured in medium supplemented with 0.1 µM of PSK-α had higher viability and division frequencies compared to cells cultured in PSK-α-free control medium. The effect of PSK-α was more pronounced in low-responding accessions (‘Sława z Gołębiewa’, ‘Ramkila F1’, LM, and LM98); however, in two cultivars with very low response (‘Badger Shipper’ and ‘Oregon 123’), although the division frequencies in the media supplemented with PSK-α were increased over the control, the differences were not significant. Obtained callus colonies were subjected to regeneration. PSK-α supplemented into the liquid culture medium had an indirect effect on shoot regeneration by inducing sustained cell divisions leading to an increase in shoot regeneration in Sława z Gołębiewa and both breeding lines.
Quality Evaluation of the Services Provided in Selected Sanatorium Facilities in the Podkarpackie Province
Authors: Krupa Jan , Cichocka Izabela
Published: September 2017

Purpose. The article shows the importance of health tourism, including spa tourism, as well as current trends in the development of health resorts and sanatorium facilities.

Method. The existing data from a survey carried out in health resorts in the years 2011-2013 were used, using standardized evaluation questionnaires.

Findings. The data illustrates the level of visitors’ satisfaction with the quality of services and range of offers in selected sanatoriums. The visitors generally assessed the medical and nursing care, the range and quality of treatment services and rehabilitation as good, while in the assessment of local conditions and food as well as the tourist attractiveness of the destination, they reported varied opinions over the analyzed years.

Research and conclusion limitations . Limitations of the research and analysis and the comparability of data between the sanatoriums primarily result from a diverse number of respondents in particular locations and differences in the construction of the research tool which was the questionnaire. Furthermore, the opinions of the visitors may be biased and some of them may not have comparison with conditions prevailing in other spa facilities in Poland.

Practical implications. The opinions and comments of the respondents can provide additional information for the management of health resorts and local authorities in terms of taking care of the quality of services.

Originality. The article presents the most important trends in health tourism, including spa tourism, which was observed in the studied health resorts and sanatoria facilities, as well as the visitors’ feelings about the quality of services and the attractiveness of the range of treatment, rehabilitation and prevention.

Type of paper. The article is empirical.
Sulfonation and Sulfation
Authors: Dado Gregory , Bernhardt Randal
Published: September 2017

Sulfonation and sulfation are chemical reactions in which sulfur trioxide moiety is introduced into organic entities. These processes are utilized industrially for the manufacturing of chemical products that are used to produce anionic surfactants, cyclic intermediates, dyes, pigments, medicines, pesticides, sweeteners, lubricant additives, and polymeric specialty chemicals.

The focus in this article is on industrial processes suitable for the manufacturing of sulfated and sulfonated products. Considering the chemistry involved, processes are dependent on the choice of reagents, physical properties of feedstocks and derived products, product volume requirements, operational mode (batch, continuous), quality of derived products, by‐products and their disposal, and equipment and operating and equipment investment costs. Recent advances in sulfonation and sulfation technologies, including microchannel reactor technology as well as economic and environmental considerations are also discussed.
Wine
Authors: Butzke Christian E.
Published: September 2017

Wine is an alcoholic beverage made of juice of grapes fermented by wine yeast. The history of winemaking is intertwined with the development of civilization and human culture. Moderate consumption of wine continues to play a vital role in human nutrition, health, well‐being, and social interaction today. Moreover, today the global wine industry makes a substantial contribution to value‐added agriculture that has far‐reaching impact on the economies of all winegrape‐producing countries. However, wine production techniques have become quite similar internationally, leaving the location, weather, and changing climate of the vineyards to be the crucial factor for the quality of the bottled product.

In this article, classification of types and styles of wine, composition, and analyses are presented, followed by a quite detailed discussion of making of various types of wine. The global wine market as well as regulations and health aspects are also discussed.
Diurnal Critical Latitude and the Latitude Dependence of Internal Tides, Internal Waves, and Mixing Based on Barcoo Seamount
Authors: Robertson Robin , Dong Jihai , Hartlipp Paul
Published: September 2017

Vertical mixing is a key issue in ocean circulation modeling today. Mixing, particularly tidal mixing, is poorly represented in ocean and climate models, which generally ignore critical latitude effects. Critical latitude is the latitude where the inertial frequency equals the tidal frequency and differs for each tidal constituent. Critical latitudes strongly influence generation and propagation of internal tides. Using a model, latitude effects on tidal interactions with a seamount were examined by varying the latitude from 20° to 38°, through the range of the diurnal critical latitudes. The diurnal critical latitudes were found to strongly influence propagation of the diurnal internal tides, the magnitude of the semidiurnal tides, the energy in the harmonic and higher frequencies, the barotropic mean flow, and the diffusivities. The strongest effects occurred between the K1 and O1 critical latitudes. Here the semidiurnal tides, harmonics, and high frequencies were enhanced, barotropic mean velocities weakened, energy at the harmonics and higher frequencies increased, and diffusivities increased. Spectral techniques indicate that most of these impacts are the result of nonlinear wave‐wave interactions and resonant phenomena with the prominent mechanism harmonic transfers. There was no evidence of parametric subharmonic instabilities. The semidiurnal tides indicated a resonant response at 20°S, which is near the latitude for the combined M2 and K1 tidal period, ∼19°S.
Tracing Nitrogen Biogeochemistry During the Beginning of a Spring Phytoplankton Bloom in the Yellow Sea Using Coupled Nitrate Nitrogen and Oxygen Isotope Ratios
Authors: Liu Su Mei , Altabet Mark A. , Zhao Liang , Larkum Jennifer , Song Guo Dong , Zhang Guo Ling , Jin Haiyan , Han Li Jun
Published: September 2017

Nitrogen biogeochemistry during the beginning of a spring phytoplankton bloom in the Yellow Sea was investigated based on nutrient concentrations, benthic fluxes of nutrients, the nitrogen and oxygen isotope composition of NO3−, and the hydrological conditions. The δ15N and δ18O values for NO3− in the Yellow Sea were more variable in surface waters than in near‐bottom waters and were generally 6.3–8.2‰ for δ15N and 6.2–9.7‰ for δ18O, except in the Yellow Sea Coastal Current Water (YSCCW), where the maximum δ15N and δ18O values found were 13.2‰ and 18.8‰, respectively. Both the δ15N and δ18O values varied among the different water masses with higher values in the YSCCW than in the Yellow Sea Mixed Water and the Yellow Sea Warm Current Water. Higher δ18O relative to δ15N in NO3− in the Yellow Sea reflects contributions from multiple NO3− sources, including nitrification and atmospheric deposition with the later accounting for 71% of total external NO3− input. A simple nitrogen budget indicated the importance of nutrient regeneration from sediments as a source for water column NO3− representing 74% of total NO3− input in the YS.
The Enhancement of Neutral Metal Na Layer Above Thunderstorms
Authors: Yu Bingkun , Xue Xianghui , Lu Gaopeng , Kuo Cheng‐Ling , Dou Xiankang , Gao Qi , Qie Xiushu , Wu Jianfei , Qiu Shican , Chi Yutian , Tang Yihuan
Published: September 2017

Atomic sodium (Na) is one of the major meteoric species existing as layers of atoms in the mesosphere/lower thermosphere (MLT) at altitudes of 80–105 km and atomic ions at higher altitudes. As the boundary between neutral atmosphere and ionosphere, the MLT region is of particular interest because it is influenced by the mesoscale convective weather and thunderstorms from below and exposed to solar photons from above. There has been great interest on the atmosphere‐ionosphere coupling, and numerous studies have been reported on the connection between thunderstorms and the ionosphere. However, the influence of thunderstorms on metallic species, which would significantly enhance our understanding of how Earth's atmosphere interacts with its ionosphere and studying the chemistry and physics of the MLT region, has rarely been studied. Here we present observational results on a statistical basis showing evidence that thunderstorm activities can affect the metal layer, by identifying a statistically significant enhancement of the neutral metal Na layer above thunderstorms at Haikou, China (20.0°N, 110.3°E). The thunderstorm‐generated gravity waves and electric field effects could be the mechanisms responsible for the lightning‐associated enhancement of Na layer.
Robust Projected Weakening of Winter Monsoon Winds Over the Arabian Sea Under Climate Change
Authors: Parvathi V. , Suresh I. , Lengaigne M. , Izumo T. , Vialard J.
Published: September 2017

The response of the Indian winter monsoon to climate change has received considerably less attention than that of the summer monsoon. We show here that all Coupled Model Intercomparison Project Phase 5 (CMIP5) models display a consistent reduction (of 6.5% for Representative Concentration Pathways 8.5 and 3.5% for 4.5, on an average) of the winter monsoon winds over the Arabian Sea at the end of 21st century. This projected reduction weakens but remains robust when corrected for overestimated winter Arabian Sea winds in CMIP5. This weakening is driven by a reduction in the interhemispheric sea level pressure gradient resulting from enhanced warming of the dry Arabian Peninsula relative to the southern Indian Ocean. The wind weakening reduces winter oceanic heat losses to the atmosphere and deepening of convective mixed layer in the northern Arabian Sea and hence can potentially inhibit the seasonal chlorophyll bloom that contributes substantially to the Arabian Sea annual productivity.
Long‐Term Stability of Plate‐Like Behavior Caused by Hydrous Mantle Convection and Water Absorption in the Deep Mantle
Authors: Nakagawa Takashi , Iwamori Hikaru
Published: September 2017

We investigate the cycling of water (regassing, dehydration, and degassing) in mantle convection simulations as a function of the strength of the oceanic lithosphere and its influence on the evolution of mantle water content. We also consider pseudo‐plastic yielding with a friction coefficient for simulating brittle behavior of the plates and the water‐weakening effect of mantle materials. This model can generate long‐term plate‐like behavior as a consequence of the water‐weakening effect of mantle minerals. This finding indicates that water cycling plays an essential role in generating tectonic plates. In vigorous plate motion, the mantle water content rapidly increases by up to approximately 4–5 ocean masses, which we define as the “burst” effect. A burst is related to the mantle temperature and water solubility in the mantle transition zone. When the mantle is efficiently cooled down, the mantle transition zone can store water transported by the subducted slabs that can pass through the “choke point” of water solubility. The onset of the burst effect is strongly dependent on the friction coefficient. The burst effect of the mantle water content could have significantly influenced the evolution of the surface water if the burst started early, in which case the Earth's surface cannot preserve the surface water over the age of the Earth.