bluuebunny/crossref_metadata_2025 huggingface dataset:
The Impact of Global Sensitivities and Design Measures in Model-Based Optimal Experimental Design
Authors: Schenkendorf René , Xie Xiangzhong , Rehbein Moritz , Scholl Stephan , Krewer Ulrike
Published: March 2018

In the field of chemical engineering, mathematical models have been proven to be an indispensable tool for process analysis, process design, and condition monitoring. To gain the most benefit from model-based approaches, the implemented mathematical models have to be based on sound principles, and they need to be calibrated to the process under study with suitable model parameter estimates. Often, the model parameters identified by experimental data, however, pose severe uncertainties leading to incorrect or biased inferences. This applies in particular in the field of pharmaceutical manufacturing, where usually the measurement data are limited in quantity and quality when analyzing novel active pharmaceutical ingredients. Optimally designed experiments, in turn, aim to increase the quality of the gathered data in the most efficient way. Any improvement in data quality results in more precise parameter estimates and more reliable model candidates. The applied methods for parameter sensitivity analyses and design criteria are crucial for the effectiveness of the optimal experimental design. In this work, different design measures based on global parameter sensitivities are critically compared with state-of-the-art concepts that follow simplifying linearization principles. The efficient implementation of the proposed sensitivity measures is explicitly addressed to be applicable to complex chemical engineering problems of practical relevance. As a case study, the homogeneous synthesis of 3,4-dihydro-1H-1-benzazepine-2,5-dione, a scaffold for the preparation of various protein kinase inhibitors, is analyzed followed by a more complex model of biochemical reactions. In both studies, the model-based optimal experimental design benefits from global parameter sensitivities combined with proper design measures.
Steam Explosion and Vibrating Membrane Filtration to Improve the Processing Cost of Microalgae Cell Disruption and Fractionation
Authors: Lorente Esther , Hapońska Monika , Clavero Ester , Torras Carles , Salvadó Joan
Published: March 2018

The aim of this study is to explore an innovative downstream route for microalgae processing to reduce cost production. Experiments have been carried out on cell disruption and fractionation stages to recover lipids, sugars, and proteins. Steam explosion and dynamic membrane filtration were used as unit operations. The species tested were Nannochloropsis gaditana, Chlorella sorokiniana, and Dunaliella tertiolecta with different cell wall characteristics. Acid-catalysed steam explosion permitted cell disruption, as well as the hydrolysis of carbohydrates and partial hydrolysis of proteins. This permitted a better access to non-polar solvents for lipid extraction. Dynamic filtration was used to moderate the impact of fouling. Filtration enabled two streams: A permeate containing water and monosaccharides and a low-volume retentate containing the lipids and proteins. The necessary volume of solvent to extract the lipids is thus much lower. An estimation of operational costs of both steam explosion and membrane filtration was performed. The results show that the steam explosion operation cost varies between 0.005 $/kg and 0.014 $/kg of microalgae dry sample, depending on the cost of fuel. Membrane filtration cost in fractionation was estimated at 0.12 $/kg of microalgae dry sample.
Kinesin Motor Protein KIFC1 Is a Target Protein of miR-338-3p and Is Associated With Poor Prognosis and Progression of Renal Cell Carcinoma
Authors: Li Gang , Chong Tie , Yang Jie , Li Hongliang , Chen Haiwen
Published: March 2018

KIFC1 (kinesin family member C1) plays a critical role in clustering of extra centrosomes in various cancer cells and thus could be considered as a promising therapeutic target. However, whether KIFC1 is involved in the procession of renal cell carcinoma (RCC) still remains unclear.
In this study, we found that KIFC1 was upregulated in RCC tissues and is responsible for RCC tumorigenesis (p < 0.001). The high expression of KIFC1 correlates with aggressive clinicopathologic parameters. Kaplan‐Meier analysis suggested that KIFC1 was associated
with poor survival prognosis in RCC. Silencing KIFC1 dramatically resulted in inhibition of proliferation, delayed the cell cycle at G2/M phase, and suppressed cell invasion and migration in vitro. The antiproliferative effect of KIFC1 silencing was also observed in xenografted
tumors in vivo. miR-338-3p could directly bind to the 3′-untranslated region (3′-UTR) of KIFC1, and ectopic miR-338-3p expression mimicked the inhibitory functions of KIFC1 silencing on RCC cells through inactivation of the PI3K/AKT signaling pathway. Therefore, these results revealed
that KIFC1 may be a novel biomarker and an effective therapeutic target for the treatment of RCC.
TRIM14 Promotes Breast Cancer Cell Proliferation by Inhibiting Apoptosis
Authors: Hu Gaowu , Pen Wei , Wang Ming
Published: March 2018

Tripartite motif-containing 14 (TRIM14) is abnormally expressed in several human cancers. However, the function and expression of TRIM14 in human breast cancer are still largely unknown. To understand the biological function of TRIM14 in breast cancer, we measured the expression level
of TRIM14. Cell proliferation and cell apoptosis were measured after TRIM14 overexpression or knockdown. Upregulation of TRIM14 was found in human breast cancer specimens and cell lines. Reduction of TRIM14 inhibited cell proliferation but increased cell apoptosis in the BT474 and MDA-MB-231
cell lines. Further study showed that knockdown of TRIM14 upregulated the expression of BAX while downregulating the expression of BCL2. In addition, the expression of SHP-1 was increased, and the phosphorylation of STAT3 (p-STAT3) was inhibited. Conversely, overexpression of TRIM14 had the
opposite effects. Additionally, cryptotanshinone, a STAT3 inhibitor, inhibited cell proliferation but increased cell apoptosis in the BT474 and MDA-MB-231 cell lines. In conclusion, TRIM14 may act as an oncogene in human breast cancer and may be a novel strategy for human breast cancer.
The Gendered Natures of Polar Bear Tourism
Authors: Yudina Olga , Grimwood Bryan S.R. , Berbary Lisbeth A. , Mair Heather
Published: March 2018

This article offers a critique of nature-based Arctic tourism through a gender-aware analysis of representations associated with polar bear tourism in Churchill, Manitoba, Canada. The guiding purpose of our study was to analyze how "nature" is gendered in its construction and presentation
through tourism, and to what effect. Our study focused on revealing dominant gendered expectations and understandings (re)produced in the Churchill polar bear tourism promotional landscape. Drawing on a critical discourse analysis of qualitative and visual promotional texts, we show how various
representations of polar bear tourism impose hegemonic gender roles onto polar bear bodies, which are emplaced within a conventionally gendered landscape. As the "Polar Bear Capital of the World," Churchill's wildlife viewing industry relies on the (re)creation, dissemination, and maintenance
of particular meanings and natures attributed to polar bears, as well as human–polar bear relationships, for economic benefit. This gives rise to questions about how power circulates with respect to Churchill's tourism production practices, gender being one of many axes of identity through
which power operates and is interpolated. Ultimately, the article advances literature on gender-aware analyses of tourism and environment, and argues the promotion of gendered natures must be consistently questioned to create space for more equitable tourism practices.
D–A–D-type orange-light emitting thermally activated delayed ﬂuorescence (TADF) materials based on a fluorenone unit: simulation, photoluminescence and electroluminescence studies
Authors: Gan Lin , Li Xianglong , Cai Xinyi , Liu Kunkun , Li Wei , Su Shi-Jian
Published: March 2018

The design of orange-light emitting, thermally activated, delayed ﬂuorescence (TADF) materials is necessary and important for the development and application of organic light-emitting diodes (OLEDs). Herein, two donor–acceptor–donor (D–A–D)-type orange TADF materials based on fluorenone and acridine, namely 2,7-bis(9,9-dimethylacridin-10(9H)-yl)-9H-fluoren-9-one (27DACRFT, 1) and 3,6-bis(9,9-dimethylacridin-10(9H)-yl)-9H-fluoren-9-one (36DACRFT, 2), were successfully synthetized and characterized. The studies on their structure–property relationship show that the different configurations have a serious effect on the photoluminescence and electroluminescence performance according to the change in singlet–triplet splitting energy (ΔEST) and excited state geometry. This indicates that a better configuration design can reduce internal conversion and improve triplet exciton utilization of TADF materials. Importantly, OLEDs based on 2 exhibited a maximum external quantum efficiency of 8.9%, which is higher than the theoretical efficiency of the OLEDs based on conventional fluorescent materials.
Evaluation of Applicability of a Flare Trigger Model Based on a Comparison of Geometric Structures
Authors: Bamba Yumi , Kusano Kanya
Published: March 2018

The triggering mechanism(s) and critical condition(s) of solar flares are still not completely clarified, although various studies have attempted to elucidate them. We have also proposed a theoretical flare-trigger model based on MHD simulations in which two types of small-scale bipole fields, the so-called opposite polarity (OP) and reversed shear (RS), can trigger flares. In this study, we evaluated the applicability of our flare-trigger model to the observation of 32 flares that were observed by the Solar Dynamics Observatory, by focusing on geometrical structures. We classified the events into six types, including the OP and RS types, based on photospheric magnetic field configuration, presence of precursor brightenings, and shape of the initial flare ribbons. As a result, we found that approximately 30% of the flares were consistent with our flare-trigger model, and the number of RS-type triggered flares is larger than that of the OP type. We found that none of the sampled events contradict our flare model; though, we cannot clearly determine the trigger mechanism of 70% of the flares in this study. We carefully investigated the applicability of our flare-trigger model and the possibility that other models can explain the other 70% of the events. Consequently, we concluded that our flare-trigger model has certainly proposed important conditions for flare-triggering.
Species of the fungivorous genus Psalidothrips Priesner from China, with five new species (Thysanoptera, Phlaeothripidae)
Authors: Zhao Chao , Zhang Hongrui , Tong Xiaoli
Published: March 2018

An identification key and review is provided of fifteen species of the fungivorous genusPsalidothripsPriesner from China, with five new species,P.angustussp. n.,P.comosussp. n.,P.fabariussp. n., andP.latizonussp. n., andP.nigroterminatussp. n.In addition,PsalidothripsconsimilisOkajima, previously known only from Ryukyu Islands, Japan, is newly recorded in China.
Percutaneous Osseointegrated Prostheses for Transfemoral Amputations
Authors: Li Yan , Lindeque Bennie
Published: March 2018

The direct attachment of the osseointegrated prosthesis to the skeleton avoids the inherent problems of socket suspension. It also permits physiological weight bearing, improved range of motion in the proximal joint, and osseoperceptive sensor feedback, enabling better control of the artificial limb by amputees. This article describes the osseointegration program in Sweden based on the use of bone-anchored prostheses for transfemoral amputation rehabilitation. The authors discuss in detail the patient-centered evaluation, surgical technique, and postoperative rehabilitation protocol. The outcomes of a prospective study of transfemoral amputees using the bone-anchored prostheses are presented. [
Orthopedics.
2018; 41(2):75–80.]
A Framework for Assessment of Existing Solid Waste Management Practices and Characterization of Municipal Solid Waste in Muzzafarnagar City, India
Authors: Choudhary Ankur , Ganguly Rajiv , Gupta Ashok Kumar
Published: March 2018

This chapter reports the details of the existing system of MSW management and characterization of Muzaffarnagar City located in Western Uttar Pradesh (UP) state in India. The overall waste generated in the city is about 120-125 tons per day (TPD) with a per capita generation rate of 0.415 kg/person/day with a collection efficiency of 70-80%. Physico-chemical and geotechnical properties of the MSW were carried out to determine its overall characteristics. The characterization results showed about 46% of the waste generated in the city is organic nature (from HIG and MIG) and 52% for (LIG) with chemical characterization showing that the elemental carbon was in the highest proportion. Further, the chapter also recommends suitable remedial measures for proper management of the existing MSW management system and suitable treatment alternatives.
Assessment of the Chemical Precipitation Process as a New Approach for Industrial Emission Abatement Systems
Authors: Gezerman Ahmet Ozan , Çorbacıoğlu Burcu Didem
Published: March 2018

The abatement of emission gases, such as SOx, NOx, and COx, is one of the main problems studied by researchers for continuous developments, necessitating considerable investments by several industries. Currently, the scrubber system with its use form, and the chemical precipitation method that is considered as an alternative, are the two different processes that have demonstrated the best results for emission abatement. In this chapter, an assessment is performed on an industrial scale for both the processes, their comparative advantages are discussed, and possible applications presented.
Using of Modified SBA-15 Mesoporous Silica Materials for CO2 Capture
Authors: Akti Filiz
Published: March 2018

Carbon dioxide emissions cause global warming, and greenhouse gases and climate change are very serious problems. Mesoporous silica material SBA-15 has been preferred mostly as an ideal adsorbent for CO2 due to its excellent properties such as high surface areas and pore volumes, larger pore diameter, and thicker silica wall. In the literature studies, SBA-15 has been modified by different functional groups and the effects of modification methods on the CO2 adsorption have been investigated. Modified SBA-15 adsorbents showed high CO2 adsorption capacity. The aim of this chapter is to review the use of modified-SBA-15 mesoporous silica materials as adsorbent for CO2 capture.
Water and Water Security
Authors: Gür Nadiye
Published: March 2018

Today, there are many studies about the problems that may be faced in the context of World Water Day. In this chapter, the structure, pollution, quality grading, and human health effects of water; possible pollution prevention measures; and water safety are discussed. It is expected that the world population, which is about 7 billion currently, will rise to 9 billion by 2050. Water consumption is expected to increase at a higher rate, which is a major problem for the environment. By 2025, it has been estimated that two-thirds of the world's population will deal with water shortage. The world is not as rich in water as once thought and, hence, is at high risk for water shortage. For these reasons, we must all fulfill our responsibility to leave a habitable world to future generations.
Water Pollution Burden and Techniques for Control
Authors: Dhir Kanav , Jatayan Meenakshi , Kumar Shakti
Published: March 2018

The enhancements in the socio-economic status of many people has come from the expansion of agricultural and industrial production. But, some of the activities associated with this expansion have adversely affected water quality. This leads to a negative impact on public health, eminence of life, and environment. This chapter sets out to explain the various factors that lead to water contamination and different mitigation techniques to manage them. We need this knowledge so as to develop suitable solutions for a broad range of environmental problems.
Who Am I?
Authors: Haslett Beth Bonniwell
Published: March 2018

This chapter focuses on how culture and the new media shape one's identity. While culture and one's family initially shape one's identity, the new media provide new ideas and lifestyles that influence one's identity. One's identity changes throughout one's lifespan, and the new media presents more information and alternative lifestyle choices for individuals. Identity itself is a complex concept and the self is viewed as the continuing, consistent narrative that one presents over one's lifetime and over different contexts. The new media enable people to develop online identities, and such identities may be authentic or inauthentic when compared to one's real life identity. The new media present different venues for developing and expressing one's self. The new media also enable individuals to maintain cultural and identity links with their home culture although they may have located elsewhere in the world.
Dynamic Social Impact Theory
Authors: Sundararajan Binod , Tetzlaff Elizabeth
Published: March 2018

Following the sociocultural traditions of communication, the authors explore the commonalities between Latané's dynamic social impact theory (DSIT), and the concepts of homophily and heterophily, and find that the markers of DSIT appear quite strikingly similar to the concepts similarity espoused by homophily (i.e., clustering, correlation, and consolidation), while the continuing diversity in DSIT is very similar to heterophily, which exists in groups and cultures. The authors test these concepts by analyzing two different blog conversations and find support to the above propositions. In the process, the authors suggest that social media should be retitled sociocultural media as this media aids in the creation and maintenance of cultures that coexist with those of differing viewpoints.
The Benefits and Challenges of New Media for Intercultural Conflict
Authors: Johnson Amy Janan , Lee Sun Kyong , Cionea Ioana A. , Massey Zachary B.
Published: March 2018

This chapter examines current research on intercultural interactions over new media with a particular emphasis on those studies involving conflict. Two main points are emphasized: 1) new media have several characteristics that differentiate them from traditional forms of media and shape intercultural conflict, providing benefits but also creating challenges not encountered before; and 2) traditional theoretical explanations of the relationship between media and conflict are inadequate for explaining the role that individual and group characteristics play in intercultural conflict in the digital age. Certain theories are discussed in relation to the second point. Overall, the chapter proposes questions that could advance research in this emerging area.
American People vs. Politicians
Authors: Kurylo Anastacia Dawn
Published: March 2018

To study political identity construction, a thematic analysis is used to explore online reviews of the book Beating Obamacare. Themes that emerged construct four political identities relevant to the construction Obamacare, the American public, President Obama and politicians, and those in opposition to Obamacare. The construction of these identities contributes to group vitality. This process is facilitated by the juxtaposition of the construction of the American public with those who oppose Obamacare versus politicians. Notably, this construction is accomplished with the near absence of reference to political party affiliation creating a realignment of political identity in a way that provides stronger group vitality than would be achieved across traditional partisan lines. This chapter has implications for understanding how identity is constructed online to demonstrate group vitality in ways that facilitate intracultural and intercultural communication.
Big Data and Analytics
Authors: Haque Misbahul , Imran Mohd , Ahamad Mohd Vasim , Shoaib Mohd
Published: March 2018

In today's world, humungous and heterogeneous data are being generated from every action of researchers, health organizations, etc. This fast, voluminous, and heterogeneous generation leads to the evolution of the term big data. Big data can be computationally analyzed to uncover hidden trends and patterns that help in finding solutions to the problems arising in various fields. Analysis of big data for manufacturing operational acquaintance at an unparalleled specificity and scale is called big data analytics. Proper utilization of analytics can assist in making effective decisions, improved care delivery, and achieving cost savings. Recognizing hidden trends and useful patterns can lead us to have a clear understanding of the valuable information that these data holds. This chapter presents a quality overview of big data and analytics with its application in the field of healthcare industries as these industries requires their stream of data to be stored and analyzed efficiently in order to improve their future perspective and customer satisfaction.
Web Access Patterns of Actual Human Visitors and Web Robots
Authors: Sisodia Dilip Singh
Published: March 2018

Web robots are autonomous software agents used for crawling websites in a mechanized way for non-malicious and malicious reasons. With the popularity of Web 2.0 services, web robots are also proliferating and growing in sophistication. The web servers are flooded with access requests from web robots. The web access requests are recorded in the form of web server logs, which contains significant knowledge about web access patterns of visitors. The presence of web robot access requests in log repositories distorts the actual access patterns of human visitors. The human visitors' actual web access patterns are potentially useful for enhancement of services for more satisfaction or optimization of server resources. In this chapter, the correlative access patterns of human visitors and web robots are discussed using the web server access logs of a portal.
Web Usage Mining
Authors: Kumar Vinod , Thakur R. S.
Published: March 2018

Websites have become the major source of information, and analysis for web usage has become the most important way of investigating a user's behaviour and obtaining information for website owners to use to make any strategic decisions. This chapter sheds light on the concept of web usage mining, techniques, and its application in various domains.
Fast Fractal Image Compression by Kicking Out Similar Domain Images
Authors: Sharma Shilpi , Kourav Arvind Kumar , Tiwari Vimal
Published: March 2018

Fractal algorithms are used to represent similar parts of images into mathematical transforms that can recreate the original image. This chapter presents a fast fractal image compression technique via domain kick-out method, based on averaging of domain images to discard redundant domain images. It accelerates the encoding process by reducing the size of the domain pool. Results of a simulation on the proposed speedup technique on three standard test images shows that performance of the proposed technique is far superior to the present kick out methods of fractal image compression. It has reported a speedup ratio of 31.07 in average while resulting into compression ratio and retrieved image quality comparable to Jacquin's full search method.
Role of Leaders in Post-Conflict Societies
Authors: Simic Goran
Published: March 2018

When Serbian Prime Minister Aleksandar Vučić was attacked on the 11th of July 2015 in Srebrenica on the day of the commemoration and burial of the victims of the genocide committed in that town in 1995, he characterized it as an assassination attempt. Furthermore, he stated that “hand of peace” that he was offering was rejected once more from the “Bosnian” side. Of course, he didn't mention that he, in the previous six months, together with Serbia's ally, Russia, advocated that the UN Security Council rejects the resolution that would call all sides to accept the final decisions of the ICTY and draw necessary lessons in regard of commemoration of the 20 years from the Srebrenica Genocide. He didn't mention that he is, along with the leaders of Serbian people in Bosnia and Herzegovina, among those negating the Srebrenica Genocide (sarcastically calling it “grave crime”). He also did not mention his inflammatory rhetoric in the Parliament of Serbia in 1995 when during the events in Srebrenica he said “If you kill one Serb, we will kill 100 Muslims.”
Biopreservatives for Improved Shelf-Life and Safety of Dairy Products
Authors: Singh Tejinder Pal , Pophaly Sarang Dilip , Siwach Ruby
Published: March 2018

Globally, there is an increasing demand for minimally processed, easily prepared, and ready-to-eat fresh food, globalization of food trade, and distribution from centralized processing which pose major challenges for food safety and quality because perishable food may get contaminated with undesirable microorganisms. Food spoilage adversely affects the economy and also erodes the consumer's confidence. On other hand, food-borne illness leads to loss of earnings and productivity, unemployment and litigation, and weakens trade and tourism. Another challenge for the food producers is to produce less stable foods by processes that confer less harm to the detrimental microflora. A challenge for food producers is to develop products with a sufficiently longer shelf-life and at a competitive price. This brings them to the most promising approach to this end, the so-called biopreservation. This chapter provides a scientific background, functionality, as well as food applications and further commercial aspects of biopreservatives derived from microbial sources.
Role of Microbial Cultures and Enzymes During Cheese Production and Ripening
Authors: Öztürkoğlu Budak Şebnem , Koçak Celalettin , Bron Peter A. , de Vries Ronald P.
Published: March 2018

Many different kinds of cultures, enzymes, and methods are used during the production and ripening of a variety of cheese types. In this chapter, the importance, types, and applications of microbial cultures during cheese production are discussed. Moreover, an overview of the important role of enzymatic systems, either derived from these cultures or directly added to the milk fermentation, is presented. The main biochemical events including glycolysis, lipolysis, and proteolysis during cheese ripening are explained, focusing on their end products, which contribute to the development of the overall aroma of cheese.
A Mathematical Model for Demand Distribution in An Air Transport Network
Authors: Devoto R. , Fantola M. , Olivo A. , Rassu N.
Published: March 2018

This article describes the great distance that separates Sardinia from mainland Italy has made the island – the second largest island of the Mediterranean – a marginal and remote region. Its system of ferry links for people travelling to and from Sardinia has such long journey times (8-12 hours) that it is clearly in no way a valid alternative to air transport. It was mainly on the basis of these reasons and with a view to protecting and ensuring the mobility of Sardinian residents that Public Service Obligations (PSO) were imposed on some of the main air routes starting from 2002. Our study is set against this background. It aims to resolve one of the main critical factors that distinguish the PSO network: the shortage of flights on certain routes and the concomitant over-scheduling of others. More specifically, the insufficient scheduling of weekly flights to certain airports, such as Verona and Turin, forces a number of passengers to decide not to travel at all and another part to use connecting flights to Rome/Milan airports or to travel using more than one route, via air or ground transport, with inevitably higher transport costs. The problem was addressed by using a linear scheduling model applied to a network of nodes and arcs representing, respectively, the airports and their connecting routes, and the airport of Cagliari. The decision variables identified were the number of passengers travelling on all of the arcs and the impedance measures associated with the distance travelled by the arcs, represented by the generalized cost of transport. The objective is to determine a network structure which corresponds to the distribution of passengers on the various branches capable of minimizing the total cost. This cost was considered as a useful parameter for comparing the various network scenarios which were obtained by changing the passenger load coefficient and the number of flights. Our study demonstrates that a simple intervention, aimed at the internal reallocation of the flights on the various routes, is able to guarantee categories of users (here divided into business and non-business users) greater access to air transport services. The scenario that more than others is able to improve service efficiency, granting undeniable benefits for all users without having an impact on the costs of air carriers, particularly stands out because it: • Allows access to all network airports through direct flights; • Decongests the Rome and Milan routes
Privacy-Preserving Hybrid K-Means
Authors: Gao Zhiqiang , Sun Yixiao , Cui Xiaolong , Wang Yutao , Duan Yanyu , Wang Xu An
Published: March 2018

This article describes how the most widely used clustering, k-means, is prone to fall into a local optimum. Notably, traditional clustering approaches are directly performed on private data and fail to cope with malicious attacks in massive data mining tasks against attackers' arbitrary background knowledge. It would result in violation of individuals' privacy, as well as leaks through system resources and clustering outputs. To address these issues, the authors propose an efficient privacy-preserving hybrid k-means under Spark. In the first stage, particle swarm optimization is executed in resilient distributed datasets to initiate the selection of clustering centroids in the k-means on Spark. In the second stage, k-means is executed on the condition that a privacy budget is set as ε/2t with Laplace noise added in each round of iterations. Extensive experimentation on public UCI data sets show that on the premise of guaranteeing utility of privacy data and scalability, their approach outperforms the state-of-the-art varieties of k-means by utilizing swarm intelligence and rigorous paradigms of differential privacy.
Network System Structure Design for Data Centers in Large Enterprises Using Cloud Computing
Authors: Chi Yongfang
Published: March 2018

In this article, the author discusses the network system structure design for data centers in large enterprises using cloud computing. First, she designs a framework for a cloud data center in large enterprise systems. Second, she establishes the data center network frame based on software-defined networking (SDN) and the algorithm procedure. Third, she studies the moving algorithm of a virtual machine and the broadband allocation mechanism of a data center of a large enterprise network system along with the mathematical model. Finally, the author carries out the performance simulation analysis of the data center based on cloud computing. Finally, she carries out the performance comparison between the new data center at a large enterprise network system and traditional systems. The author shows that the new data center model in large enterprise network systems has a better network capacity and fault tolerance.
An Empirical Analysis of Mobile Learning Acceptance in Puerto Rico's Higher Learning Institutions
Authors: Heard Irvin Renzell
Published: March 2018

This empirical research article employs a quantitative research methodology based on existing research on the Technology Acceptance Model (TAM) to model how college students in Puerto Rico perceive, accept and reject mobile learning technologies before university implementation. This study identifies the factors, perceptions, and attitudes of mobile learning acceptance at the individual level. The TAM themes included in this study are: attitude (A), behavioral intentions (BI), ease of access (EoA), ease of use (EoU), external influence (EI), quality of service (QoS), student readiness (SR), university support (US) and usefulness (U). The article's objective is to examine the determinants and behavioral intentions to use M-learning in higher learning institutions in Puerto Rico. By understanding the determinants, universities, and organizations that deliver educational content can develop intervention programs aimed at increasing user acceptance of M-learning.
Applications to Improve Quality of Life
Authors: Lopes Arminda Guerra
Published: March 2018

This article is about the creation of tools and technologies that support physical, mental, social and emotional wellbeing. Students from a polytechnic institution were challenged within a human computer interaction discipline, to set an idea and to present its design process. The objective was to create something using technology to improve people quality of life. The main goal of this article is to settle some of the reasons that lead to important and interesting outputs to the amount of unfinished or unavailable applications to be used by those who need it.
Catch-up Process in Aircraft Industry
Authors: Manteghi Ali , Manteghi Manuchehr , Aslani Alireza , Mohaghar Ali
Published: March 2018

This article presents a staircase model for the catch-up process in the aircraft industry based on Reverse Product Life Cycle (RPLC). The model is composed of five consecutive phases: (1) maintenance and repair; (2) licensed production; (3) enhancing technological capabilities; (4) independent aircraft development from behind the technology frontier; and (5) independent aircraft development at the technology frontier. In order to propose this model, the catch-up processes in the aircraft industry in six latecomer countries (Brazil as a successful case, Japan and China which are still in the catch-up process and Romania, Indonesia and Argentina as unsuccessful cases) were studied. Then their activities in the catch-up process were categorized based on Miles and Huberman's data analysis method. Finally, the catch-up processes of all surveyed countries were considered on the same timeline, to gain a better perception about dynamics of different phases of the catch-up process in the aircraft industry. This suggested some ideas about: (1) overlaps between different phases; (2) relative size of different phases; and (3) different possible routes between phases. It was also concluded that in the aircraft industry, evolution based on sequential steps is more successful than jumping between different steps. The validity of the model is checked by its conformity with other studies on catch-up models. In addition, the catch-up processes of all surveyed countries were successfully mapped to the proposed model.
Analysis of ISO 9001 Paradox of Knowledge Codification Using the Activity System Model
Authors: Serhan Hiam , Kabèche Doudja Saïdi
Published: March 2018

This article analyses the ISO 9001 standard as a generic management tool grounded on three interdependent elements: an artefact of abstract requirements to implement (ostensive routines); a management philosophy that instruments its implementation; and a simplified vision of the organization's relations and knowledge (performative routines). Its two functions are paradoxically oriented to exploitation of codified good practices and to exploration of new knowledge to innovate, create tensions during its implementation in the organization. By applying the activity system model on the French multinational food Groupe (Danone), this research analyses the tensions, learning and innovation outcomes that emerge during the implementation of the knowledge codification requirement in the company. The objective of this article is to illustrate how Danone used the paradox of knowledge codification to create distinctive innovations. It argues that the management of paradoxes depends on the manager's philosophy and competencies to manage cognitive and emotional tensions in organizations.
Hold-Out After the CJEU Huawei Decision
Authors: Barani Marie
Published: March 2018

This article describes how the Court of Justice of the European Union, with its Huawei v ZTE ruling in July 2015, has attempted to prevent abuses from SEP-holders (hold-ups) and implementers (hold-outs) by balancing the interests of both sides. This decision establishes a contractual negotiation framework both parties must comply with. However, it leaves some questions open. This article makes a review of hold-out risks under the Samsung and Motorola decisions from the European Commission and hold-out remedies under the Huawei decision and how national courts in Europe have applied it. It also examines potential improvements of competition law and the application of Article 102 of the Treaty on the Functioning of the European Union to deal with a holding-out company in Europe.
Selected Barriers to Online International Trade Within the EU
Authors: Orviska Marta , Hunady Jan
Published: March 2018

This article deals with the problems associated with online international trade, i.e. e-commerce, within the EU. The authors examine the potential barriers to cross-border online selling and online buying with the focus on problems related to standards. The problems associated with interoperability and labelling can be seen as clearly related to standards. Using data from the flash Eurobarometer (413) survey, logit and ordered logit regressions are estimated. Interoperability problems, when selling online, are more frequently reported by wholesale firms and those in the information and communication sector. Firms who are part of an international group are more likely to sell online and have slightly fewer problems with interoperability. The majority of the firms in the sample believe that common rules of e-commerce within the EU could be beneficial for their online business. This is especially true for those reporting problems with interoperability, different labelling or copyright issues. This then provides justification for the EU to adopt such rules.
Lessons Learned from the Design and Development of Vehicle Simulators
Authors: Casas Sergio , Rueda Silvia
Published: March 2018

Vehicle simulators are crucial tools used in a variety of areas, such as aviation, driving, or maritime transportation. International standards require the use of motion-based vehicle simulators in training scenarios. However, the huge variety of applications and requirements makes it difficult for end users to find a motion-based commercial solution that fulfils their needs. On the other hand, commercial solutions are usually expensive as they involve specific hardware and software. Although some ad-hoc solutions have been reported, a generalized design strategy is needed. In this article, the authors emphasize the need for finding a development methodology for these important tools and they propose an overall strategy for the design of vehicle simulators, focusing on the relevant decisions according to the authors' learned experience. The following aspects are considered: use, motion hardware, cockpit, users, display types, cost and physical space. Finally, the authors show three case studies where these decisions have been already taken: a rescue speedboat simulator, a tractor simulator and a driving simulator.
Visual Tracking with Multilevel Sparse Representation and Metric Learning
Authors: Chen Baifan , Peng Meng , Liu Lijue , Lu Tao
Published: March 2018

Visual tracking arises in various real-world tasks where an object should be located in a video. Sparse representation can implement tracking problems by linearly representing object with a few templates. However, this approach has two main shortcomings. Namely, setting the templates updating frequency is difficult and meanwhile it is relatively weak in distinguishing the object from the background. For solving these problems, the author models a multilevel object template set that can be stratified by different updating time spans. The hierarchical structure and updating strategy promise the real-timeness, stability, and diversity of object template. Additionally, metric learning is combined to evaluate the object candidates and thereby improve the discriminative ability. Experiments on well-known visual tracking datasets demonstrate that the proposed method can track an object more robustly and accurately compared to the state-of-the-art approaches.
Utility Based Frequent Pattern Extraction from Mobile Web Services Sequence
Authors: Mohbey Krishna Kumar
Published: March 2018

This article describes how patterns discovery of mobile web services is an emerging field today, in which utility also plays an important role. Utility may be referred to as profit, price, significance or preference of the mobile web services. With the help of web utility, one can discover highly interesting patterns of mobile web services. In the previous related studies, most of the approaches use utility as an important parameter to discover interesting patterns, but they also generate a large number of uninterested patterns too. Another problem is related to computational time; because no filtration is applied therefore computational time is too much. In this article, an approach namely; UMWSPM (Utility based Mobile Web Service Pattern Mining) for finding utility-based mobile web service patterns with high filtration and less computational time has been proposed. In this article, a utility is used as the preference of the accessed mobile web services. In particular, the proposed approach obtains more accurate and filtered mobile web service sequences. The experimental results show that the proposed approach has a good performance in terms of execution efficiency and memory utilization.
A Hybrid Predictive Model Integrating C4.5 and Decision Table Classifiers for Medical Data Sets
Authors: Kumar Amit , Sarkar Bikash Kanti
Published: March 2018

This article describes how, recently, data mining has been in great use for extracting meaningful patterns from medical domain data sets, and these patterns are then applied for clinical diagnosis. Truly, any accurate, precise and reliable classification models significantly assist the medical practitioners to improve diagnosis, prognosis and treatment processes of individual diseases. However, numerous intelligent models have been proposed in this respect but still they have several drawbacks like, disease specificity, class imbalance, conflicting and lack adequacy for dimensionality of patient's data. The present study has attempted to design a hybrid prediction model for medical domain data sets by combining the decision tree based classifier (mainly C4.5) and the decision table based classifier (DT). The experimental results validate in favour of the claims.
Universal groups for right-angled buildings
Authors: De Medts Tom , Silva Ana C. , Struyve Koen
Published: March 2018

In 2000, M. Burger and S. Mozes introduced universal groups acting on trees with a prescribed local action. We generalize this concept to groups acting on right-angled buildings. When the right-angled building is thick and irreducible of rank at least 2 and each of the local permutation groups is transitive and generated by its point stabilizers, we show that the corresponding universal group is a simple group.

When the building is locally nite, these universal groups are compactly generated totally disconnected locally compact groups, and we describe the structure of the maximal compact open subgroups of the universal groups as a limit of generalized wreath products.
Thompson groups for systems of groups, and their finiteness properties
Authors: Witzel Stefan , Zaremsky Matthew C.B.
Published: March 2018

We describe a procedure for constructing a generalized Thompson group out of a family of groups that is equipped with what we call a cloning system. The previously known Thompson groups

F

,

V

,

V_{\mathrm{br}}

and

F_{\mathrm{br}}

arise from this procedure using, respectively, the systems of trivial groups, symmetric groups, braid groups and pure braid groups.

We give new examples of families of groups that admit a cloning system and study how the finiteness properties of the resulting generalized Thompson group depend on those of the original groups. The main new examples here include upper triangular matrix groups, mock reflection groups, and loop braid groups. For generalized Thompson groups of upper triangular matrix groups over rings of

S

-integers of global function fields, we develop new methods for (dis-)proving finiteness properties, and show that the finiteness length of the generalized Thompson group is exactly the limit inferior of the finiteness lengths of the groups in the family.
March/April 2012
Authors: DeVito, Jr. Richard A.
Published: March 2018

Volume 10, Number 2
Complete Issue - July/August 2014
Authors: Various Authors .
Published: March 2018

This is the complete issue file for the July/August 2014 issue of Journal of Emergency Management.
January/February 2017 Full Issue
Authors: Authors Various
Published: March 2018

Volume 15, Number 1
Are you ready? Crisis leadership in a hyper-VUCA environment (Appendix)
Authors: Alkhaldi, MD Khaldoon H. , Austin, MSPH, MA Meredith L. , Cura, MS, HSE Boris A. , Dantzler, PhD Darrell , Holland, MS Leslie , Maples, MBA David L. , Quarrelles, MPA, CEM Jamie C. , Weinkle Jr, MS, ACC Robert K. , Marcus, PhD Leonard J.
Published: March 2018

The current hyper-volatile, -uncertain, -complex, and -ambiguous (VUCA) threat environment demands a more cohesive support structure for crisis leaders who may be faced with crises of increasing magnitude and frequency and, in some instances, multiple crisis events simultaneously. The project team investigates the perceptions of crisis leaders regarding establishing a crisis leader advisor position for crisis leaders to benefit from their experience while prosecuting crisis response activities. The team linked hyper-VUCA crises, crisis response frameworks, meta-leadership, crisis leader attributes, and advisor attributes. The overall goal of the project is to increase the ability of the crisis leaders to more effectively and efficiently navigate crisis events resulting in more efficient and effective response and recovery. Three research questions were developed to assess the following: thoughts of integrating a crisis leader advisor position; development of a crisis leader advisor certification program; and attributes of crisis leader advisors. A qualitative research methodology using a phenomenological approach was employed. Forty-one participants were purposefully selected and administered a short, on-line survey consisting of 11 questions. Data were analyzed using percentage analysis, weighted sums, and inductive thematic analysis. The project team found an overwhelming support for the crisis leader advisor position and the crisis leader advisor certification program. Additionally, experience and trustworthiness ranked among the top sought after attributes of a crisis leader advisor. The team recommendations included (1) implement a crisis leaders advisor guide/framework; (2) create a formal crisis leader advisor position in national incident management system; (3) implement a crisis leader advisor certification framework; (4) benchmark established advisor programs; and (5) implement a framework to match leaders and advisors.