Processing Technology for Bio-Based Polymers: Advanced Strategies and Practical Aspects brings together the latest advances and novel technologies surrounding the synthesis and manufacture of biopolymers, ranging from bio-based polymers to synthetic polymers from bio-derived monomers. Sections examine bio-based polymer chemistry, discuss polymerization process and emerging design technologies, cover manufacturing and processing approaches, explain cutting-edge approaches and innovative applications, and focus on biomedicals and other key application areas. Final chapters provide detailed discussion and an analysis of economic and environmental concerns, practical considerations, challenges, opportunities and future trends. This is a valuable resource for researchers, scientists and advanced students in polymer science, bio-based materials, nanomaterials, plastics engineering, biomaterials, chemistry, biotechnology, and materials science and engineering, as well as R&D professionals, engineers and industrialists interested in the development of biopolymers for advanced products and applications.

This book presents the latest developments regarding a detailed mobile agent-enabled anomaly detection and verification system for resource constrained sensor networks; a number of algorithms on multi-aspect anomaly detection in sensor networks; several algorithms on mobile agent transmission optimization in resource constrained sensor networks; an algorithm on mobile agent-enabled in situ verification of anomalous sensor nodes; a detailed Petri Net-based formal modeling and analysis of the proposed system, and an algorithm on fuzzy logic-based cross-layer anomaly detection and mobile agent transmission optimization. As such, it offers a comprehensive text for interested readers from academia and industry alike.

Data analysis forms the basis of many modes of research ranging from scientific discoveries to governmental findings. With the advent of machine intelligence and neural networks, extracting and modeling, approaching data has been unimpeachably altered. These changes, seemingly small, affect the way societies organize themselves, deliver services, or interact with each other. Predictive Analysis on Large Data for Actionable Knowledge: Emerging Research and Opportunities provides emerging information on extraction and prediction patterns in data mining along with knowledge discovery. While highlighting the current issues in data extraction, readers will learn new methodologies comprising of different algorithms that automate the multidimensional schema that remove the manual processes. This book is a vital resource for researchers, academics, and those seeking new information on data mining techniques and trends.

Data warehousing is an important topic that is of interest to both the industry and the knowledge engineering research communities. Both data mining and data warehousing technologies have similar objectives and can potentially benefit from each other's methods to facilitate knowledge discovery. Improving Knowledge Discovery through the Integration of Data Mining Techniques provides insight concerning the integration of data mining and data warehousing for enhancing the knowledge discovery process. Decision makers, academicians, researchers, advanced-level students, technology developers, and business intelligence professionals will find this book useful in furthering their research exposure to relevant topics in knowledge discovery.

This book explains the multiple perspectives of Central Asia or Eurasia as it relates to the economic, security, and energy fields. Sahibzada Muhammad Usman clarifies the influence of America, Russia, Europe, and China on Eurasian countries. Central Asia consists of five former Soviet nations: Uzbekistan, Turkmenistan, Tajikistan, Kyrgyzstan, and Kazakhstan. Eurasia and international players' current association depends on geographic, political, economic, and security factors. Eurasia or Central Asia sits at the center of the Asian continent, a region rich in history and culture. This region benefits from a mixture of national identities that have been developed carefully for many centuries.

This collection reviews current advances in the breeding and cultivation of key tropical and subtropical fruits. Chapters summarise key advances across the value chain for citrus fruit cultivation, including citrus genetics, nutrition and other aspects of cultivation, the use of precision agriculture and developments in integrated pest management (IPM). Two case studies on limes and mandarins highlight the range of improvements in cultivation. The book also summarises recent developments in breeding and cultivation techniques for a range of soft tropical fruits, including banana, kiwifruit, lychee, papaya, pineapple and pomegranate. The final part of the book covers developments in breeding and cultivation techniques for a range of stone and other tropical fruit, including avocado, coconut, guava, jackfruit, mangos and olives.

The concept of open innovation (OI) has become a very popular topic during the last decade, with increasing number of SMEs embracing OI practices to gain competitive advantage. This edited volume is a timely opportunity to gather research on OI in SMEs, to investigate how OI is managed and implemented to determine the peculiarities compared to OI management in large companies, and to specify the consequences for future OI research.The book offers insights into the following topics: The state of the art on open innovation in SMEs; adopting open innovation in SMEs; interorganizational networks and innovation ecosystems; sectoral patterns of open innovation in SMEs; and measuring, evaluating and stimulating open innovation in SMEs.

The fields of Big Data and the Internet of Things (IoT) have seen tremendous advances, developments, and growth in recent years. The IoT is the inter-networking of connected smart devices, buildings, vehicles and other items which are embedded with electronics, software, sensors and actuators, and network connectivity that enable these objects to collect and exchange data. The IoT produces a lot of data. Big data describes very large and complex data sets that traditional data processing application software is inadequate to deal with, and the use of analytical methods to extract value from data. This edited book covers analytical techniques for handling the huge amount of data generated by the Internet of Things, from architectures and platforms to security and privacy issues, applications, and challenges as well as future directions.

This book presents the latest developments regarding a detailed mobile agent-enabled anomaly detection and verification system for resource constrained sensor networks; a number of algorithms on multi-aspect anomaly detection in sensor networks; several algorithms on mobile agent transmission optimization in resource constrained sensor networks; an algorithm on mobile agent-enabled in situ verification of anomalous sensor nodes; a detailed Petri Net-based formal modeling and analysis of the proposed system, and an algorithm on fuzzy logic-based cross-layer anomaly detection and mobile agent transmission optimization. As such, it offers a comprehensive text for interested readers from academia and industry alike.

This book is based on the role of co-morbid disorder; beta thalassemia minor with iron deficiency anemia in the promulgation of beta thalassemia gene. This book explain the pathophysiology of co-morbid condition and its effect on hematological parameters and Hb-A2 levels. This book is useful for the medical students, general physicians, consultant hematologist and Pathologist. In the areas where beta thalassemia is more common genetic disorder this book will proved as useful tool to stop the propagation of beta thalassemia gene in homozygous state

The Percutaneous nephrolithotomy (PCNL)is now become a fast and routine procedure for nephrolithiasis in most urological centres. The aim of study is to assess the changes in standard procedure and its outcome on patient morbidity. As we discussed that the conventional procedure need the placement of nephrostomy tube, so we assess, is the nephrostomy tube, is really worthwhile after procedure? if needed, is it necessary to put the large bore tube instead of small bore tube. we compare, the outcome of large bore, with small bore, and tubeless PCNL. we comes on conclusion, that patients with tubeless have definitely edge over those group having nephrostomy tube, with no added morbidity.

Laboratory study was conducted to examine whether there is any beneficial effect of magnetically treated water on its quality and seedling emergence in sandculture. Water of various types like tap water, saline water, canal water and sewerage water was applied. Results revealed that the application of magnetized water promoted the germination rate of maize seeds, regardless of magnetic strength or flow rate. Seeds irrigated with magnetized water grew faster, higher and heavier than the untreated water and a significant effect appear with magnetized sewerage water. On the other hand, there was negligible effect of magnetically treated water on quality parameters like EC, pH, and SAR. The results are presented in this book that certainly enhance learning among researcher, scientists and students and helps planning research studies The authors appreciate the efforts of Barthlemy Chaton and his team in facilitating during book finalization and highly acknowledge publishing of this book by LAMBERT Publishing House Ltd., for technical knowledge sharing internationally.

However most of the previous research in TQM and service quality is based in developed countries. This research is an effort to reduce the existing gap of developing countries based TQM and service quality studies. The research is divided into two sections. In first section, survey questionnaire obtained from 51 pharmaceutical distributors is used to identify critical success factors of TQM. Relationship of TQM implementation to customer satisfaction is also developed in this portion of research. Second portion of research is related to development of service quality scale in distributors-retailers interface of pharmaceutical supply chains. Data collected from 413 respondents was analyzed. Structural equation modeling using AMOS 7.0 software developed a valid and reliable scale comprising of 4 dimensions and 10 items. This research has practical implications for pharmaceutical distribution companies as it identifies that top management has to increase its commitment for the implementation of TQM. Research also develops a reliable and valid scale that can be used by to increase service quality in distributors-retailers interface of pharmaceutical supply chains in Pakistan.