bluuebunny/crossref_metadata_2025 huggingface dataset:
FAKTOR-FAKTOR YANG MEMPENGARUHI OPINI AUDIT GOING CONCERN
Authors: Nugroho Lucky , Nurrohmah Siti , Anasta Lawe
Published: November 2018

Tujuan dari penelitian ini adalah untuk mengetahui pengaruh financial distress, profitabilitas, leverage, likuiditas dan ukuran perusahaan pada opini audit going concern. Penelitian ini dilakukan pada Bursa Efek Indonesia (BEI) dengan melakukan akses pada situs www.idx.co.id. Populasi dalam penelitian ini adalah seluruh perusahaan manufaktur yang terdaftar di Bursa Efek Indonesia (BEI) periode 2012-2016. Jumlah perusahaan manufaktur yang dijadikan sampel dalam penelitian ini adalah 78 perusahaan dengan pengamatan selama 6 tahun. Berdasarkan metode purposive sampling, total sampel penelitian adalah 390 sampel. Pengujian hipotesis dalam penelitian ini menggunakan analisis regresi logistik. Hasil Financial Distress berpengaruh negatif pada opini audit going concern, leverage berpengaruh negatif terhadap opini audit going concern, sedangkan profitabilitas, likuiditas dan ukuran perusahaan  tidak berpengaruh signifikan terhadap opini audit going concern.
How the Waltz was Won: Transmutations and the Acquisition of Style in Early English Modern Ballroom Dancing. Part Two: The Waltz Regained
Authors: Buckland Theresa Jill
Published: November 2018

Part One of this study on the transmutation of the Victorian waltz into the modern English waltz of the early 1920s examined the labile social and choreographic climate of social dancing in London's fashionable ballrooms before, during and just after World War One. The article ended with the teachers’ unsatisfactory effort to characterise the features of a distinctively modern waltz style in response to a widespread discourse to recover and adapt the dance for the contemporary English ballroom.

Part Two investigates the role of club and national competitions and exhibition dancers in changing and stabilising a waltz form and style that integrated preferred aspects of both old and new techniques, as advocated by leading waltz advocate and judge, Philip Richardson. This article brings into critical focus not only choreographic contributions by Victor Silvester and Josephine Bradley but also those of models such as Maurice Mouvet, G. K. Anderson, Georges Fontana, and Marjorie Moss whose direct influence in England outweighed that of the more famous American couple Irene and Vernon Castle. The dance backgrounds, training and inter-connections of these individuals are examined in identifying choreological and aesthetic continuities that relate to prevalent and inter-related notions of style, Englishness, art and modernity as expressed through the dancing. Taken as a whole, the two parts provide a case study of innovative shifts in popular dancing and meaning that are led through imitation and improvisation by practitioners principally from the middle class. The study also contributes to dance scholarship on cultural appropriation through concentrating on an unusual example of competition in dance being used to promote simplicity rather than virtuosity. In conclusion, greater understanding of creativity and transmission in popular social dancing may arise from identifying and interrogating the practice of agents of change and their relationships within and across their choreographic and socio-cultural contexts.
Application d'une méthode interférométrique en lumière blanche polarisée à l'étude de la croissance cristalline
Authors: Follenius Marguerite
Published: November 2018

La croissance de cristaux à partir de solutions aqueuses a été étudiée en observant la variation de la concentration de la solution-mère en leur voisinage.

L'étude de la région perturbée par les phénomènes de diffusion, dus à la présence du cristal, a été faite à l'aide d'une méthode interférométrique en lumière blanche polarisée. Ceci a permis de déterminer approximativement la variation de la vitesse de croissance de certaines faces cristallines en fonction de la sursaturation de la solution-mère ou de la quantité d'impuretés présentes dans cette solution.

La croissance dendritique a été également étudiée et une interprétation en a été donnée à partir des surfaces d'égale concentration.
Le "karst en vagues" des Aït Abdi (Haut-Atlas central, Maroc)
Authors: Perritaz Luc
Published: November 2018

Situé dans le Haut Atlas central (32°N), le plateau des Aït Abdi (2200-3000 m, 160 km²) est constitué d'une épaisse série de calcaires massifs du Bajocien limitée à la base par le Toarço-Aalénien détritique. Les précipitations sont de 500 à 700 mm/an, pour un coefficient de nivosité de 60 % et une évapotranspiration réelle de 400 mm/an. La morphologie de ce karst nival est caractérisée par une succession de petites vallées sèches assymétriques et parallèles dénommée "karst en vagues" où le rôle des congères est prédominant par rapport à la litho-structure. Des cavités concrétionnées, colmatées et tronçonnées par l'érosion, attestent de conditions climatiques antérieures plus arrosées. Des datations U/Th de concrétions ont donné des âges compris entre 3,2 et 220 ka, ou de plus de 400 ka (1 ka = 1000 ans). Le transfert souterrain des eaux est assuré par un réseau interstrate : deux étages de galeries sèches et un étage inférieur phréatique indiquent au moins trois phases de karstification.
Empowering leadership and team creativity: understanding the direct-indirect path
Authors: Adeel Ahmad , Batool Samreen , Ali Rizwan
Published: November 2018

This study investigated the relationship between empowering leadership and team creativity by integrating the theory of group behavior with componential theory of creativity. For this study, data was collected from two sources (343 Subordinates, 67 Supervisors) by temporally dividing data collection process into two points in time for independent, dependent, and mediating variables from employees of a bank operating in Pakistan. Random coefficient analysis technique was used with Mplus 7.0 to analyze nested data for preliminary analysis and analysis of mediation and indirect effects. Mediation was analyzed using the indirect effect of random models and further confirmed the confidence using bootstrapping procedure. Through this study, the researchers tried to explore the inconsistent relationship between empowering leadership behavior and team creativity. It was found that empowering leadership behavior affects the team level creativity of employees directly and indirectly through the mediation of team learning behavior and team psychological empowerment as team process and team emergent states respectively. The results indicated that empowering leadership enhances the learning potential of teams and team empowerment perception which in turn enhances team level creativity. Further research findings, implications, and future research directions also discussed in this research.
Enfermement ordinaire et éducation par le travail au Sénégal (1926-1950)
Authors: Tiquet Romain
Published: November 2018

Cet article s’intéresse à la deuxième portion du contingent, une forme militaire de travail forcé utilisée pour les chantiers coloniaux du Sénégal. Il se focalise sur le camp de travail en l’envisageant comme un type ordinaire d’enfermement à visée disciplinaire. L’objectif est de promouvoir un certain ordre quotidien et d’inculquer la valeur travail aux populations « indigènes ». Cependant, les travailleurs de la seconde portion réagissent de façon diverse à leurs conditions de vie et de travail. Elles clament le respect de leurs droits et de leur dignité, faisant progressivement évoluer leur statut, jusqu’à la suppression de cette forme de travail forcé au début des années 1950.
Des ethnographes anxieux
Authors: Henriet Benoît
Published: November 2018

À travers trois études de cas, cet article se penche sur l’usage de techniques « ethnographiques » dans l’exercice quotidien du pouvoir au Congo belge, pendant les années 1930. Dans le Kwango-Kwilu, des fonctionnaires territoriaux tentent de retracer des généalogies claniques afin de servir de support à des déplacements forcés de population. L’enquête suivant le meurtre d’un agent de l’État fait montre du manque de connaissance des cosmogonies et des dynamiques locales par l’administration. Enfin, la répression du mouvement millénariste Lukusu fait état de l’anxiété fruit de cette ignorance au sein du corps colonial. Chaque cas met ainsi en lumière la capacité des Congolais à contrer et à contourner les ambitions hégémoniques de la puissance occupante.
A Step-Index Multimode Fiber-Optic Microbend Displacement Sensor Wavelength Dependent Loss
Authors: Alaruri Sami D.
Published: November 2018

In this chapter, the wavelength dependence of bend loss in a step-index multimode optical fiber (100 µm core diameter; fused silica) was investigated for fiber bend radii ranging between 2.0 and 4.5 mm using six laser excitation wavelengths, namely, 337.1, 470, 590, 632.8, 750, and 810 nm. The results obtained from fitting the bend loss measurements to Kao's model and utilizing MATLAB® indicate that bend loss is wavelength dependent and transmission loss in multimode optical fibers increases with the decrease in the fiber bend radius. Furthermore, the response of a microbend fiber-optic displacement sensor was characterized at 337.1, 470, 632.8, 750, and 810 nm. Measurements obtained from the microbend sensor indicate that the sensor output power is linear with the applied displacement and the sensor output is wavelength dependent. Lastly, references for industrial and biomedical applications of microbend fiber-optic sensors are provided. Finally, a brief description for the transmission loss mechanisms in optical fibers is given.
Social Enterprises and Fundraising Challenge
Authors: Pjero (Beqiraj) Elenica , Kordha Ermelinda
Published: November 2018

Evolving markets challenge the organization's ability to react to customer demand. Decision-making becomes paralyzed by process-based operations and chains of command and control, thereby decreasing agility. Many organizations today are also facing significant demographic challenges. Baby boomers, once the lifeblood of business, are retiring while Generation Y wants to communicate and interact in a completely different manner. There may be four generations in the modern workplace, and each has its unique traits and demands. There is growing complexity both inside and outside the organization. Organizations need to understand complexity instead of simply increasing complication. The growth of interest in this area is closely related to the fact that social enterprises constitute the fastest growing category of organizations in the USA and to the fact that universities and business schools around the globe are currently involved in various education programmes in social entrepreneurship and social enterprise.
Women Leaders Evolution in Our Society From the Perspective of a Son of a Women Leader
Authors: Storslee Jon
Published: November 2018

One of the most prevalent changes in my lifetime is the emergence of women leaders in almost every facet of American life. While the transformation of our society is an ongoing process and will probably take several more generations to complete, the author has watched our society gradually evolve from male domination toward one of equality for both genders and eventually maybe into a female-dominated one. This chapter identifies the women leaders who have influenced the author's life at home, in the classroom, in politics, and on TV.
Research Investigation and Analysis on Behavioral Analytics, Neuro Imaging, and Pervasive Sensory Algorithms and Techniques for Autism Diagnosis
Authors: Sasikala R.  , Sureshkumar N.
Published: November 2018

Interdisciplinary research on autism diagnosis and training for the autistic children are current requirements. Behavioral analytics are the techniques followed by pediatricians for identifying ASD in children. However, the techniques successfully accepted by the pediatricians worldwide would be useful for the parents and pediatricians only for the elementary school-aged children, and the system is not helping for early diagnose among children of age 2. Machine learning, image processing, and pervasive techniques are trending for early diagnosis of ASD. Hence, the chapter has done a research-based survey and detailed analysis on behavioral analytics algorithms, neuro imaging, and eye tracking techniques for early diagnosis. The behavioral analytics survey mainly focuses on social and meta-cognitive skills, and the input dataset has been taken from parents, trainers, teachers, and peer groups. The chapter also identifies that computing technologies with neuro-imaging and pervasive techniques are better than the behavioral skill analysis for early diagnosis.
Strategic Decision Making and Risk Management in the EU
Authors: Ersoy Imre Sabahat
Published: November 2018

Innovative managerial thinking in global business economics necessitates the follow-up of the developments in the international regulatory framework of risk management for strategic decision making. The risk management framework which evolved from Basel I to Basel III (or with the December 2017 finalizations, the way the market calls it “Basel IV”) in the world economies and Capital Requirements Directive (CRD) V and Capital Requirements Regulation (CRR) II in the European Union have been game changers. Global managers need to take strategic decisions in this new international risk management setting in order to succeed in the competitive global business environment. For effective capital management, risk function and finance function should come together. For effective implementation, this mix should be supported by establishing partnership among the risk, finance, and strategy groups.
The Relationship Between Financial Development, Innovation and Economic Growth
Authors: Yurtkur Asuman Koc
Published: November 2018

Along with the globalization process, the relationship between the existence of an advanced financial system, financial development and economic growth has become one of the most debated issues. The financial system, development and development indicators, which play an important role in the overall success levels of the economy, are among the topics to be considered due to this importance. In this study, financial development, economic growth, and theoretical approaches are discussed. Moreover, the fact that the subject is empirically presenting evidence requires examination of this situation with studies in the literature. The presence of the findings obtained empirically, in particular Turkey's economy has made it necessary to include a large empirical literature. The generally accepted financial development indicators, which provide comparability in terms of countries, are examined in terms of financial markets and financial institutions in terms of depth, access, stability and efficiency during the period 2005-2015.
Big Data Security
Authors: Benjelloun Fatima-Zahra , Lahcen Ayoub Ait
Published: November 2018

The value of Big Data is now being recognized by many industries and governments. The efficient mining of Big Data enables to improve the competitive advantage of companies and to add value for many social and economic sectors. In fact, important projects with huge investments were launched by several governments to extract the maximum benefit from Big Data. The private sector has also deployed important efforts to maximize profits and optimize resources. However, Big Data sharing brings new information security and privacy issues. Traditional technologies and methods are no longer appropriate and lack of performance when applied in Big Data context. This chapter presents Big Data security challenges and a state of the art in methods, mechanisms and solutions used to protect data-intensive information systems.
Data Mining, Big Data, Data Analytics
Authors: Panigrahi Priya P. , Singh Tiratha Raj
Published: November 2018

In this digital and computing world, data formation and collection rate are growing very rapidly. With these improved proficiencies of data storage and fast computation along with the real-time distribution of data through the internet, the usual everyday ingestion of data is mounting exponentially. With the continuous advancement in data storage and accessibility of smart devices, the impact of big data will continue to develop. This chapter provides the fundamental concepts of big data, its benefits, probable pitfalls, big data analytics and its impact in Bioinformatics. With the generation of the deluge of biological data through next generation sequencing projects, there is a need to handle this data trough big data techniques. The chapter also presents a discussion of the tools for analytics, development of a novel data life cycle on big data, details of the problems and challenges connected with big data with special relevance to bioinformatics.
Proposal of Analytical Model for Business Problems Solving in Big Data Environment
Authors: Klepac Goran , Berg Kristi L.
Published: November 2018

This chapter proposes a new analytical approach that consolidates the traditional analytical approach for solving problems such as churn detection, fraud detection, building predictive models, segmentation modeling with data sources, and analytical techniques from the big data area. Presented are solutions offering a structured approach for the integration of different concepts into one, which helps analysts as well as managers to use potentials from different areas in a systematic way. By using this concept, companies have the opportunity to introduce big data potential in everyday data mining projects. As is visible from the chapter, neglecting big data potentials results often with incomplete analytical results, which imply incomplete information for business decisions and can imply bad business decisions. The chapter also provides suggestions on how to recognize useful data sources from the big data area and how to analyze them along with traditional data sources for achieving more qualitative information for business decisions.
A Similarity Measure Across Ontologies for Web Services Discovery
Authors: Fellah Aissa , Malki Mimoun , Elci Atilla
Published: November 2018

Given the critical and difficult nature of discovering Web services in the development process of service oriented architectures, several studies have been proposed to solve this problem. There is a real need to work for matching semantic Web services which use different ontologies. In responding to this need, measuring semantic similarity between SWS may be reduced to the calculation of similarity between ontological concepts. This work is a contribution to achieve semantic interoperability for Web services in a multi-ontology environment, for which the authors present a generic framework for Web services discovery. Here their focus is on the semantic similarity measure-based core of their framework and the authors present a novel algorithm for concepts matching between different ontologies. Results of the experiments confirm the viability of the semantic similarity measure.
Big Data Optimization for Customer Discounts in Cloud Computing Environment
Authors: Kumar Raghvendra , Pattnaik Prasant Kumar , Pandey Priyanka
Published: November 2018

Large companies have different methods of doing this, one of which is to run sales simulations. Such simulation systems often need to perform complex calculations over large amounts of data, which in turn requires efficient models and algorithms. This chapter intends to evaluate whether it is possible to optimize and extend an existing sales system called PCT, which is currently suffering from unacceptably high running times in its simulation process. This is done through analysis of the current implementation, followed by optimization of its models and development of efficient algorithms. The performances of these optimized and extended models are compared to the existing one in order to evaluate their improvement. The conclusion of this chapter is that the simulation process in PCT can indeed be optimized and extended. The optimized models serve as a proof of concept, which shows that results identical to the original system's can be calculated within 1% of the original running time for the largest customers.
Big Data in Operation Management
Authors: Jain Arushi , Bhatnagar Vishal
Published: November 2018

The word big data analytics have been increased substantially these days, one of the most prominent reasons is to predict the behavior of the customer purchase. This analysis helps to understand what customer wants to purchase, where they want to go, what they want to eat etc. So that valuable insights can be converted into actions. The knowledge thus gained helps in understanding the needs of every customer individually so that it becomes easier to do the business with them. This is the revolutionary change to build a customer-centric business. To build a customer centric business an organization must be observant about what customer is doing, must keep a record about what customer is purchasing and lastly should discover the insights to maximum the profit for customer. In this chapter we discussed about various approaches to big data management and the use cases where these approaches can be applied successfully.
A Hybrid Cloud Model for Cloud Adoption by Multinational Enterprises
Authors: He Wu , Wang Feng-Kwei
Published: November 2018

As a new IT paradigm for users, cloud computing has the potential to transform the way that IT resources are utilized and consumed. Many multinational enterprises (MNEs) are interested in cloud computing but do not know how to adopt and implement cloud computing in their enterprise settings. In an effort to help MNEs understand cloud computing and develop successful enterprise adoption strategies for cloud computing, the authors propose a hybrid cloud model for MNEs and illustrate the utility of this model by using two case studies. Insights for adopting and implementing this model in international settings are provided as well.
Intelligent Management and Efficient Operation of Big Data
Authors: Moura José , Batista Fernando , Cardoso Elsa , Nunes Luís
Published: November 2018

This chapter details how Big Data can be used and implemented in networking and computing infrastructures. Specifically, it addresses three main aspects: the timely extraction of relevant knowledge from heterogeneous, and very often unstructured large data sources; the enhancement on the performance of processing and networking (cloud) infrastructures that are the most important foundational pillars of Big Data applications or services; and novel ways to efficiently manage network infrastructures with high-level composed policies for supporting the transmission of large amounts of data with distinct requisites (video vs. non-video). A case study involving an intelligent management solution to route data traffic with diverse requirements in a wide area Internet Exchange Point is presented, discussed in the context of Big Data, and evaluated.
The Library Big Data Research
Authors: Xu Shaochun , Du Wencai , Wang Chunning , Liu Dapeng
Published: November 2018

Libraries are widely used by government, universities, research institutes, and the public since they are storing and managing intellectual assets. The library information directly stored in libraries and about the people interaction with libraries can be transformed into accessible data which then will be used by researchers to help library better serve users. Librarians need to understand how to transform, analyze, and present data in order to facilitate such knowledge creation. For example, the challenges they face include how to make big datasets more useful, visible and accessible. Fortunately, with new and powerful analytics of big data, such as information visualization tools, researchers/users can look at data in new ways and mine it for information they intend to have. Moreover, interaction of users and stored information has been taken into librarian's consideration to improve library service quality. In this work, the authors discuss the characteristics of datasets in library and argue against a popular confusion that data involved in library research is not big enough, conduct a review for the research work on library big data and then summarize the applications and research directions in this field. The status of big data research in library in China is discussed. The challenges associated with it are also discussed and explored.
An Analysis of Hospitality and Tourism Research
Authors: Calhoun Jennifer , Douglas Alecia
Published: November 2018

Learning organizations (LOs) have been identified as an innovative practice essential for global businesses to not only effectively compete in today's dynamic environment but also to achieve and maintain a sustainable competitive advantage and increase overall firm performance. The objective of this chapter is to examine the current body of knowledge on LOs and their impact on sustainability practices in an effort to identify what is being done by organizations, where knowledge is applied, and, how systems are created to influence sustainability practices. In the context of hospitality and tourism businesses, the literature examining LOs is limited though a wealth of studies have been conducted in the mainstream. Using a qualitative approach, a content analysis was conducted to investigate its impact on sustainability practices in hospitality and tourism organizations. The results indicate that destinations in particular have adopted this approach to compete globally and to address triple-bottom line sustainability.
Sustainable Rural Tourism of Lower Danube Region in Serbia
Authors: Štetić Snežana , Pavlović Sanja , Jovanović Sara Stanić
Published: November 2018

Sustainable tourism implies preserved space, prevents ecological and socio-cultural devastation, but at the same time encourages tourism development. Their application and adequate implementation increases the chance of a tourist destination that will be able to develop sustainable tourism, so the aim of this paper is to separate characteristics and principles of sustainability on certain areas and to show their advantages and limitations. In this paper are introspected factors of tourism development, both in a positive and in a negative context. It was hypothesized that sustainable rural tourism in the Lower Danube region has a comparative advantage, but it is also a major challenge for the community. Methodological setting is qualitative, based on the contextual dimension of the data, empirical observations, exploratory research and observations. Obtained results show that the tourist offer of sustainable rural tourism in the Lower Danube region has its own unique values, which should continue to explore.
Role of Infrastructure Development to Empower Women
Authors: Basu Indrani
Published: November 2018

A modern economy is market focused. It is held that when a woman becomes a participant in the market on her own term as a rational economic agent she is empowered in an economic sense. It does not take into account the other spectrums of empowerment viz. gender political, cultural and like. A nation's infrastructure provides the basic scaffolding for development. The differences in how men and women use infrastructure services have important implications for sector policies, investment priorities, and program designs. This chapter will analyse how the infrastructure development programme as an economic process assist women to enhance capability of them within society and how its actual impact is mutually constituted by other non-economic social processes and make it an over determined matter. Our study has shown that adequate access of the social infrastructure services has fetched benefits for women and ensures empowerment of women.
Microfinance, Micro-Entrepreneurial Activities Through Self-Help Groups, and Socio-Economic Empowerment of Women
Authors: Mukhopadhyay Partha , Sinha Madhabendra , Chaudhury Anjan Ray , Sengupta Partha Pratim
Published: November 2018

The chapter attempts to analyze the impact of microfinance and micro-entrepreneurial activities of women through self-help groups (SHGs) on their socio-economic empowerment. Empirically applauded Logit model has been employed for analyzing the socio-economic impacts using primary data collected from a primary survey conducted in selected rural blocks of Burdwan district of West Bengal, India. Participation of women in the household decision-making process and income and employment generation activities are found to be significant factors in this regard. Finally, the study suggests that training of SHGs to non-members, increase in loan amount from banks, and effective utilization of that loan promote women's empowerment as well as employment.
Impact of Socialized Uncertainty on Group Decision Making
Authors: Strang Kenneth David , Vajjhala Narasimha Rao
Published: November 2018

Many stakeholders in society are concerned about the effectiveness of decision making behavior for our future generation of leaders. Risk taking behavior has been studied in the context of cultural factors (including gender) or decision making but rarely have both of these dimensions been examined simultaneously especially with emerging business leaders. Decision making behavior has not been studied at the group level of analysis in the context of socialized culture using samples of young emerging executives. Therefore, the authors conducted a controlled experiment with senior university students to test the impact of risk taking culture and gender on group decision making behavior in a complex project. In their experiment gender did not impact decision making behavior but the socialized uncertainty was a statistically significant casual factor. The authors conducted a controlled experiment with senior university students to test the impact of risk taking culture and gender on group decision making behavior in a complex project. Although their results agreed with the literature, one finding was completely opposite from their hypothesis. In the authors' experiment, the participant's gender did not impact decision making behavior but the socialized uncertainty factor was statistically significant in the logistic regression models.
Triple A Leadership Dynamics of a Self-Empowering Women Group
Authors: Pheko Bolelang C.
Published: November 2018

From the Triple A Leadership model, this chapter shares a story of four women who gained economic empowerment through a bakery project whose success can be attributed to the application of the three tenets of this model, namely; accountable, attitude and approach. The first A denotes that ‘Accountability' is an indispensable aspect of leadership while ‘Attitude' is the other basic element. The theory further highlights that ‘approach' is fundamental to good leadership. The four women displayed self-reinforcing attitude that gave rise to increased interest in the project resulting in self- empowerment. It is clear that when people' personalities display leadership skills such as awareness of individual differences, responsibility, conflict resolution, tensions can be avoided as was the case with women who owned the bakery. In reality different situations call for different leadership styles, different actions, different strategies and this case illustrates that Triple A leadership was the appropriate approach.
Preparation of TiO2-Reduced Graphene Oxide Nanocomposites for Sunlight Degradation of Methylene Blue
Authors: Li Wu Fa , Yang Xiao Hong , Fu Hai Tao , An Xi Zhong
Published: November 2018

Photogenerated electron/hole recombination greatly limits the catalytic efficiency of TiO2, and recently modification with graphene substance has been regarded as an effective way to enhance the photocatalytic performance of TiO2. When referring to the fabrication of graphene based materials, the reduction process of graphene oxide has been demonstrated to be a key step. Therefore, it is highly required to develop an efficient and simple route for the GO reduction and the formation of TiO2-reduced graphene oxide (RGO) nanocomposites. In this study, TiO2-RGO nanocomposites were prepared by a facile and efficient one-step hydrothermal method using titanium (IV) butoxide (TBT) and graphene oxide (GO) without reducing agents. This method shows several unique features, including no requirement of harsh chemicals and high temperature involved, one-step hydrothermal reaction for mild reduction of GO and crystallization of TiO2 running in parallel, and the production of TiO2-RGO nanocomposites in a green and efficient synthetic route. In addition, the photocatalytic activities of the synthesized composites were systematically evaluated by degrading methylene blue (MB) under sun light irradiation. The TiO2-RGO nanocomposites show a superior photocatalytic activity to the synthesized pure TiO2. It is also found that the concentration of RGO in the nanocomposites plays a key role in the photocatalytic activity. Specifically, the composite with 1 wt % RGO shows the best photocatalytic activity, probably due to the reduction of the electron-hole recombination rate.
Die rol van ouderling A.D.W. Wolmarans in die Kerkgeskiedenis van die Z.A.R. tot 1900
Authors: Van Staden G.J.
Published: November 2018

No abstract available.
Inleiding tot de Theologie van Emil Brunner
Authors: Gijmink G.J.H.
Published: November 2018

No abstract available.
Boekbesprekings
Authors: Van Zyl F.J.
Published: November 2018

No abstract available.
Rudolph Bultmann: Nie saam met die kerk en soos die kerk nie
Authors: Koekemoer P.J.T.
Published: November 2018

No abstract available.
Aspekte en toepassing van die pastorale gesprek
Authors: Smuts A.J.
Published: November 2018

No abstract available.
Die blywende noodsaaklikheid van die beoefening van die algemene kerkgeskiedenis
Authors: Steenkamp J.J.
Published: November 2018

No abstract available.
Boekbespreking
Authors: Van der Westhuizen H.G. , Dreyer T.F.J. , Van Biljon J.A. , Van der Merwe J.C. , Dreyer P.S.
Published: November 2018

No abstract available.
An automatic observation-based aerosol typing method for EARLINET
Authors: Papagiannopoulos Nikolaos , Mona Lucia , Amodeo Aldo , D'Amico Giuseppe , Gumà Claramunt Pilar , Pappalardo Gelsomina , Alados-Arboledas Lucas , Guerrero-Rascado Juan Luís , Amiridis Vassilis , Kokkalis Panagiotis , Apituley Arnoud , Baars Holger , Schwarz Anja , Wandinger Ulla , Binietoglou Ioannis , Nicolae Doina , Bortoli Daniele , Comerón Adolfo , Rodríguez-Gómez Alejandro , Sicard Michaël , Papayannis Alex , Wiegner Matthias
Published: November 2018

Abstract. We present an automatic aerosol classification method based solely on
the European Aerosol Research Lidar Network (EARLINET) intensive optical
parameters with the aim of building a network-wide classification tool that
could provide near-real-time aerosol typing information. The presented method
depends on a supervised learning technique and makes use of the Mahalanobis
distance function that relates each unclassified measurement to a
predefined aerosol type. As a first step (training phase), a reference
dataset is set up consisting of already classified EARLINET data. Using this
dataset, we defined 8 aerosol classes: clean continental, polluted
continental, dust, mixed dust, polluted dust, mixed marine, smoke, and
volcanic ash. The effect of the number of aerosol classes has been explored,
as well as the optimal set of intensive parameters to separate different
aerosol types. Furthermore, the algorithm is trained with literature particle
linear depolarization ratio values. As a second step (testing phase), we
apply the method to an already classified EARLINET dataset and analyze the
results of the comparison to this classified dataset. The predictive accuracy
of the automatic classification varies between 59 % (minimum) and
90 % (maximum) from 8 to 4 aerosol classes, respectively, when evaluated
against pre-classified EARLINET lidar. This indicates the potential use of
the automatic classification to all network lidar data. Furthermore, the
training of the algorithm with particle linear depolarization values found in
the literature further improves the accuracy with values for all the aerosol
classes around 80 %. Additionally, the algorithm has proven to be highly
versatile as it adapts to changes in the size of the training dataset and the
number of aerosol classes and classifying parameters. Finally, the low
computational time and demand for resources make the algorithm extremely
suitable for the implementation within the single calculus chain (SCC), the
EARLINET centralized processing suite.
The impact of solar radiation on polar mesospheric ice particle formation
Authors: Nachbar Mario , Wilms Henrike , Duft Denis , Aylett Tasha , Kitajima Kensei , Majima Takuya , Plane John M. C. , Rapp Markus , Leisner Thomas
Published: November 2018

Abstract. Mean temperatures in the polar summer mesopause can drop to 130 K. The cold temperatures in combination with water vapor mixing ratios of a few parts per million give rise to the formation of ice particles. These ice particles may be observed as polar mesospheric clouds. Mesospheric ice cloud formation is believed to initiate heterogeneously on small aerosol particles (r
Novel aerosol extinction coefficients and lidar ratios over the ocean from
CALIPSO-CloudSat: Evaluation and global statistics
Authors: Painemal David , Clayton Marian , Ferrare Richard , Burton Sharon , Josset Damien , Vaughan Mark
Published: November 2018

Abstract. Aerosol extinction coefficients (σa) and lidar ratios (LR) are retrieved over the ocean from CALIOP attenuated backscatter profiles by solving the lidar equation constrained with aerosol optical depths (AOD) derived by applying the Synergized Optical Depth of Aerosols (SODA) algorithm to ocean surface returns measured by CALIOP and CloudSat’s Cloud Profiling Radar. σa and LR are retrieved for two independent scenarios that require somewhat different assumptions: a) a single homogeneous atmospheric layer (1L) for which the LR is constant with height, and b) a vertically homogeneous layer with a constant LR overlying a marine boundary layer with a homogenous LR fixed at 25 sr (2-layer method, 2L). These new retrievals differ from the standard CALIPSO version 4.1 (V4) product, as the CALIOP-SODA method does not rely on an aerosol classification scheme to select LR. CALIOP-SODA σa and LR are evaluated using airborne high spectral resolution lidar (HSRL) observations over the northwest Atlantic. CALIOP-SODA LR (1L and 2L) positively correlates with its HSRL counterpart (linear correlation coefficient r > 0.67), with a negative bias smaller than 13.2 %, and a good agreement for σa (r ≥ 0.78) with a small negative bias (≤|−9.2 %|). Furthermore, a global comparison of optical depths derived by CALIOP SODA and CALIPSO V4 reveals substantial differences over regions dominated by dust and smoke, in qualitative agreement with previously reported discrepancies between MODIS and CALIPSO AOD. Global maps of CALIOP-SODA LR feature high values over littoral zones, consistent with expectations of continental aerosol transport offshore. In addition, seasonal transitions associated with biomass burning during June to October over the southeast Atlantic are well reproduced by CALIOP-SODA LR.
Two millennia of Main region (southern Germany) hydroclimate variability
Authors: Land Alexander , Remmele Sabine , Hofmann Jutta , Reichle Daniel , Eppli Margaret , Zang Christian , Buras Allan , Hein Sebastian , Zimmermann Reiner
Published: November 2018

Abstract. A reconstruction of hydroclimate with an annual or sub-annual resolution covering the entire Holocene for a geographically limited region would significantly improve our knowledge of past climate dynamics, but has not been developed so far. With the use of an extensive collection of oak total ring-width series (Quercus robur and Quercus petraea) from living trees, historic timbers and subfossil alluvial wood deposits from the Main River region in southern Germany, a regional, 2,000-year long, seasonally-resolved hydroclimate reconstruction for the Main region has been developed. Climate-growth response analysis has been performed with daily climate records from AD 1900 onwards. An innovative analysis method for testing the stability of the developed transfer function (bootstrapped transfer function stability test, BTFS) as well as a classical calibration/verification approach have been implemented to study climate-growth model performance. Living oak trees from the Main River region show a significant sensitivity to precipitation sum from February 26 to July 06 (spring to mid-summer) during the full (r = 0.49, p
Development of a dynamic dust-source map for NMME-DREAM v1.0 model based on MODIS NDVI over the Arabian Peninsula
Authors: Solomos Stavros , Abuelgasim Abdelgadir , Spyrou Christos , Binietoglou Ioannis , Nickovic Slobodan
Published: November 2018

Abstract. We developed a time dependent dust source map for NMME-DREAM v1.0 model based on the satellite MODIS Normalized Digital Vegetation Index (NDVI). Areas with NDVI  0.25) and from −0.933 to −0.424 for dust episodes with AOD > 1. This new development can be easily applied to other time periods, models and different areas worldwide for a local fine tuning of the parameterization and assessment of its performance.
Validation of lake surface state in the HIRLAM NWP model against in-situ measurements in Finland
Authors: Rontu Laura , Eerola Kalle , Horttanainen Matti
Published: November 2018

Abstract. High Resolution Limited Area Model (HIRLAM), used for operational numerical weather prediction in the Finnish Meteorological Institute (FMI), includes prognostic treatment of lake surface state since 2012. Forecast is based on the Freshwater Lake (FLake) model integrated to HIRLAM. Additionally, an independent objective analysis of lake surface water temperature (LSWT) combines the short forecast of FLake to observations from the Finnish Environment Institute (SYKE). The resulting description of lake surface state – forecast FLake variables and analysed LSWT – was compared to SYKE observations of lake water temperature, freezing and melting dates as well as the ice and snow thickness for 2012–2018 over 45 lakes in Finland. During the ice-free period, the predicted LSWT corresponded to the observations with a slight overestimation, with a systematic error of +0.91 K. The colder temperatures were underrepresented and the maximum temperatures were too high. The objective analysis of LSWT was able to reduce the bias to +0.35 K. The predicted freezing dates corresponded well the observed dates, mostly within the accuracy of a week. The forecast melting dates were far too early, typically several weeks ahead of the observed dates. The growth of ice thickness after freezing was generally overestimated. However, practically no predicted snow appeared on lake ice. The absence of snow, found to be due to a technical error in HIRLAM, is suggested to be also the reason of the inaccurate simulation of the ice melt in spring.
Process-Based Flood Frequency Analysis in an Agricultural Watershed Exhibiting Nonstationary Flood Seasonality
Authors: Yu Guo , Wright Daniel B. , Zhu Zhihua , Smith Cassia , Holman Kathleen D.
Published: November 2018

Abstract. Floods are the product of complex interactions of processes including rainfall, soil moisture, and watershed morphology. Conventional flood frequency analysis (FFA) methods such as design storms and discharge-based statistical methods offer few insights into process interactions and how they shape the probability distributions of floods. Understanding and projecting flood frequency in conditions of nonstationary hydroclimate and land use requires deeper understanding of these processes, some or all of which may be changing in ways that will be undersampled in observational records. This study presents an alternative process-based FFA approach that uses stochastic storm transposition to generate large numbers of realistic rainstorm scenarios based on relatively short rainfall remote sensing records. Long-term continuous hydrologic model simulations are used to derive seasonally varying distributions of watershed antecedent conditions. We couple rainstorm scenarios with seasonally appropriate antecedent conditions to simulate flood frequency. The methodology is applied in Turkey River in the Midwestern United States, a watershed that is undergoing significant climatic and hydrologic change. We show that using only 15 years of rainfall records, our methodology can produce more accurate estimates of present-day flood frequency than is possible using longer discharge or rainfall records. We found that shifts in the seasonality of soil moisture conditions and extreme rainfall in Turkey River exert important controls on flood frequency. We also demonstrate that process-based techniques may be prone to errors due to inadequate representation of specific seasonal processes within hydrologic models. Such mistakes are avoidable, however, and our approach may provide a clearer pathway toward understanding current and future flood frequency in nonstationary conditions compared with more conventional methods.
Healthcare Access Experiences Among Indigenous Women in Northern Rural Thailand: A Focused Ethnographic Study
Authors: Thummapol Onouma , Barton Sylvia , Park Tanya
Published: November 2018

Introduction: Persistent inequities in health and access to healthcare services for indigenous women living in Thailand remain a significant challenge. This study provides narrative accounts of Indigenous women’s experiences accessing healthcare in northern and rural Thailand and explores the complexity of culture and its interaction with multiple intersecting influences on health behaviours.Methods: A focused ethnographic study was conducted to understand and describe the culture of health behaviors and other cultural phenomena. We recruited 21 female participants aged 20-41 years between March and April of 2017. In-depth semi-structured interviews conducted in Thai were used to explore the experiences of the participants living in a northern rural village. Data analysis was informed and guided by Roper and Shapira’s framework for ethnographic analysis.Results: Seven themes presented across three phases of experience (pre-access, making choices, and encountering difficulties) revealed an in-depth understanding of the Indigenous women’s lives, the broader sociocultural context in which they lived, and the challenges they faced when accessing healthcare. Analysis of data showed that the participants did not have equal access to healthcare and often disproportionately experienced discriminatory practices and negative attitudes of mainstream healthcare providers.Conclusions: This is the only study to date that discusses healthcare access challenges experienced by Indigenous women living in a northern rural Thai village. There is an urgent need to focus on citizenship, employment, and general health conditions; gender, familial, and labor roles; specific health conditions, wellness, and cultural practices; the seeking of healthcare services; healthcare provider relationships; the ability to access needed care; and optimization of self-care. Future efforts to improve healthcare access and reduce disease burden might benefit from these findings and allow for the development of more effective strategies, programs, and policies.
SICA's Economic Integration in the SDG
Authors: Cerda Gaitán Carlos Alberto
Published: November 2018

This paper takes into consideration the current debate regarding the impact of the Sustainable Development Goals (SDGs) on economies, mainly from economic integration processes and their connection to the current world order. Economic integration in Central America has two formal development instruments (ALIDES and the Five Integration Pillars), and, today, a Prioritized Strategic Agenda is being create. Despite the existence of these instruments, it is important to evaluate their performance and level of execution, especially when the SDGs are conceived as one of the most concrete global consensus. The point is how SDGs can promote the fulfillment of the development objectives applied to Central America’s economic integration process. By means of the phenomenological research paradigm, interpretative deductions are made from three moments: the study of phenomenal structures, the analysis of the phenomenological method and, finally, from the undercover dominance.