الصفحة 3
الصفحة 3
Effective and efficient organisations? : Government export promotion in Germany and the UK from an organisational economics perspective
Using organisational economics theory, the author develops a conceptual framework for analysing the effectiveness and efficiency of public services delivery. In applying the framework to case studies of export support organisations in Germany and the UK , the research establishes the causal links between organisational structures and outputs. The decisive variables are knowledge and incentives of the actors, and adaptability of the organisation.
Durability of reinforced concrete structures
Reinforced concrete structures corrode as they age, with significant financial implications, but it is not immediately clear why some are more durable than others. This book looks at the mechanisms for corrosion and how corrosion engineering can be used for these problems to be minimized in future projects. Several different examples of reinforced concrete structures with corrosion problems are described and the various life enhancement solutions considered and applied are discussed. The book includes a chapter on the effectiveness of corrosion monitoring techniques and questions why the reality is at odds with current theory and standards.
Drugs in palliative care
While palliative care has adopted a holistic approach to treatment / medication-driven symptom management ostensibly forms the critical aspect of care. Prescribing in palliative care can be extremely complex because the patient may often have comorbidity / or occasionally multimorbidity. The associated polypharmacy further complicates the pharmacological management of symptoms being caused by the palliative condition. This can be daunting for healthcare professionals and can negatively impact upon the effectiveness of care provided. Fully revised and updated / the third edition of Drugs in Palliative Care provides a detailed / yet concise overview of topics that are encountered in palliative care clinical practice. The book will appeal to a variety of healthcare professionals involved in the provision of palliative care and medicines information.
Disease in Wild Animals : Investigation and Management
Wildlife diseases have become increasingly important recently due to their effect upon human health, veterinary medicine, wildlife, and conservation biology. Gary Wobeser's successful book from 1994 has been completely updated and enlarged in a new second edition. An in-depth overview of the available techniques for the investigation and management of disease in free-ranging animals is provided. The subjects are illustrated with examples drawn from around the world, with emphasis on the special requirements involved in working with wild animals. Techniques are assessed critically with regard to their efficacy and effectiveness.
Direct Democracy in Europe : Developments and Prospects
The initiative and referendum process offers extra channels of participation and can serve as an important supplementary institution in representative democratic systems. This first volume of the new series Direct Democracy in Modern Europe features sixteen systematic and broadly empirical approaches to the study of modern direct democracy within the context of European politics including - system contexts and effects of the initiative and referendum process - theoretical approaches and basic values in modern direct democracy - the quality and institutional design of direct democratic mechanisms - aspects of information and communication - institutional performance and economic effectiveness - transnational challenges and the development of direct democracy in Europe
Development Policies and Policy Processes in Africa : Modeling and Evaluation
Examines the methodological challenges in analyzing the effectiveness of development policies. It presents a selection of tools and methodologies that can help tackle the complexities of which policies work best and why, and how they can be implemented effectively given the political and economic framework conditions of a country. The contributions in this book offer a continuation of the ongoing evidence-based debate on the role of agriculture and participatory policy processes in reducing poverty. They develop and apply quantitative political economy approaches by integrating quantitative models of political decision-making into existing economic modeling tools, allowing a more comprehensive growth-poverty analysis.
Development and In-vitro Dissolution Test of Pilocarpine PVA : Hydrogel Lenses
Due to high water content of hydrogel (wetting) and due to extended drug release comparing to ophthalmic solution and higher transparency comparing to ophthalmic ointment, soft contact lenses were found to elongate contact time with the eye and use it for long time without causing hypoxia or needing multiple dosing per a day. The objective of the study was to design, fabricate, and investigate the effectiveness of PVA hydrogel with DMSO soft contact lens in releasing the model drug, pilocarpine.
Dental materials: latest advances and prospects ; Vol. II
Almost all fields of dentistry are closely related to newly developed materials, and all clinical improvements often follow or go hand in hand with the creation and development of innovative and higher-performing materials, instruments, and equipment. Thanks to the application of contemporary dental materials, the effectiveness of clinical dentistry has witnessed remarkable advances. This Special Issue contains high-quality research articles, clinical studies, review articles, and case reports focused on the latest advances and prospects of dental materials concerning all fields of dentistry.
Deepfake detection = اكتشاف التزييف العميق
In the rapidly evolving era of artificial intelligence, addressing the escalating threats of deepfake technology becomes a necessity because of the increasing sophistication of AI algorithms in generating deceptive content, and since it threatens the integrity of information across diverse data. The main objective is to build a sophisticated AI-driven system to detect different types of deepfake in text, audio, and images. In English text deepfake detection, multiple pre-trained tokenizers have been used, but XLNET and BERT stand out with identifying objects outside the dataset with an accuracy of 0.9809 and both have been generalized & trained using LSTM. In Arabic text deepfake detection, Arabert has been trained using LSTM which led with an accuracy of 99.53% by generalizing the model. Both English and Arabic datasets have been generated to enhance the accuracy and effectiveness of the models. Audio deepfake detection has been generalized too, using Random Forest with an accuracy of 98.259%.
Deep learning methods for converting speech to text = تقنيات التعلم العميق في تحويل الصوت إلى نص
Aims to design and develop a system capable of extracting audio content from films and audio recordings and converting it into text using deep learning techniques. This is done by analyzing audio patterns, extracting sounds and words from the video, and then converting them into written text. Deep learning, a branch of artificial intelligence, is used to accomplish this task. The study also includes comparing different deep learning techniques to determine their effectiveness in this context.
Deep learning and computer vision in remote sensing-II
Computer vision (CV) have seen a massive rise in popularity in the remote sensing field over the last few years. This success is mostly due to the effectiveness of deep learning (DL) algorithms. However, remote sensing data acquisition and annotation, as well as information extraction from massive remote sensing data, are still challenging. This reprint collected novel developments in the field of deep learning and computer vision methods for remote sensing. Papers dealing with fundamental theoretical analyses, as well as those demonstrating their application to real-world problems, have been published. With practical examples and real-world case studies, this reprint provides a valuable resource for researchers, professionals, and students seeking to harness the power of deep learning in the field of remote sensing.
Deep learning and computer vision in remote sensing-I
In the last few years, huge amounts of progress have been made regarding remote sensing in the field of computer vision. This success and progress is mostly due to the effectiveness of deep learning (DL) algorithms. In addition, the remote sensing community has shifted its attention to DL, and DL algorithms have been used to achieve significant success in many image analysis tasks. However, with regard to remote sensing, a number of challenges caused by difficulties in data acquisition and annotation have not been fully solved yet. This reprint is a collection of novel developments in the field of remote sensing using computer vision, deep learning, and artificial intelligence. The articles published involve fundamental theoretical analyses as well as those demonstrating their application to real-world problems.
Deduction, Computation, Experiment : Exploring the Effectiveness of Proof
What is a proof for? What is the characteristic use of a proof as a computation, as opposed to its use as an experiment? What is the relationship between mathematical procedures and natural processes? The essays collected in this volume address such questions from different points of view and will interest students and scholars in several branches of scientific knowledge. Some essays deal with the logical skeleton of deduction, others examine the interplay between natural systems and models of computation, yet others use significant results from the natural sciences to illustrate the character of procedures in applied mathematics. Focusing on relevant conceptual and logical issues underlying the overall quest for proving, the volume seeks to cast light on what the effectiveness of proof rests on.
Database performance at scale: a practical guide
Optimizing database performance at the scale required for today’s data-intensive applications often requires more than performance tuning and scaling out. This book shares commonly overlooked considerations, pitfalls, and opportunities that have helped many teams break through database performance plateaus. It’s neither a definitive guide to distributed databases nor a beginner’s resource. Rather, it’s a look at the many different factors that impact performance, and our top field-tested recommendations for navigating them. Chapter 1 provides two (fun and fanciful) tales that surface some of the many roadblocks you might face and highlight the range of strategies for navigating around them.
Cosmeceuticals as Game Changers in the Cosmetic Industry
Objectives of this work is to compare conventional cosmetics to biotechnology derived cosmeceuticals in terms of skin anti-aging, skin color modulation and hair growth, and to find out which is of greater overall performance. Research revealed superiority of cosmeceuticals to classical cosmetics as it was found that many classical cosmetic agents used for aesthetical purposes posed a certain level of either ineffectiveness, for the reason that the effect did not treat the cause of the problem and was merely temporary and external, or harmfulness because of proposed potential health risks and adverse effects. Whereas cosmeceuticals presented promising novel mechanisms and compounds for a deeper, more thorough remedy.
Content Infrastructure management : Results of an empirical study in the print industry
Alexander Benlian explores the question of whether to centralize or to decentralize media content. The findings basically emphasize the need to design publishing organizations that follow certain patterns of congruency and consistency in order to realize greater effectiveness. These observed patterns or invariabilities may provide infrastructure managers with a benchmark against which to reassess the design of their own content allocation configuration. Aligned content infrastructures can be considered to dramatically increase the smoothness of content flows and to enhance production and bundling capabilities.
Contemporary Medical Acupuncture : A Systems Approach
Contemporary Medical Acupuncture aims to bridge the gap between classical acupuncture therapy and contemporary medicine to achieve their ultimate integration. Based on updated reviews and systematic analyses, the meridians are actually systems of physiological and pathological reflexes in the body, and whole body reflex zones is proposed, which may efficiently inherit and clarify the meridian system. The systems methodology, together with the authors’ clinical expertise of 40 years, is applied to raise the reproducibility of effectiveness in treating various indications of acupuncture, especially intractable cases. Outstanding features of the book are its incisive and concrete descriptions about theories and techniques of clinical acupuncture, a novel systems approach, and a great deal of case studies.
Consumer perception of food attributes
Objectives of this book is to summarize recent empirical findings from scholarly works on how consumers value food credence attributes. Such knowledge would benefit producers, processors, retailers, and policy makers. Another objective of this book is to discuss the effectiveness of the programs that have been introduced to strengthen the relationship between producers and consumers. Many programs have been developed to more effectively inform consumers regarding food production processes.
Concrete - filled double skin steel tubular column with hybrid fibre reinforced polymer : post fire repair
Highlights the residual strength of the CFDST column, that can be used to determine the most suitable repair method in order to retrofit the column. The book elaborates on the behavior of CFDST column after being exposed to fire. This book also discusses the effectiveness of repair method using single and Hybrid Fibre Reinforced Polymer (FRP) of fire-damaged CFDST columns.
Computational intelligence based on lattice theory
The emergence of lattice theory within the field of computational intelligence (CI) is partially due to its proven effectiveness in neural computation. Moreover, lattice theory has the potential to unify a number of diverse concepts and aid in the cross-fertilization of both tools and ideas within the numerous subfields of CI. The compilation of this eighteen-chapter book is an initiative towards proliferating established knowledge in the hope to further expand it. This edited book is a balanced synthesis of four parts emphasizing, in turn, neural computation, mathematical morphology, machine learning, and (fuzzy) inference/logic. The articles here demonstrate how lattice theory may suggest viable alternatives in practical clustering, classification, pattern analysis, and regression applications.
