Technological

Ebook Social computing: Concepts, methodologies, tools, and applications - Part 1 presents the following content: Section I: Fundamental concepts and theories; Section II: Development and design methodologies; Section III: Tools and technologies; Section IV: Utilization and application.

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Ebook Social computing: Concepts, methodologies, tools, and applications - Part 1 presents the following content: Section V: Organizational and social implications; Section VI: Managerial impact; Section VII: Critical issues; Section VIII: Emerging trends.

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Ebook Adult learning in the digital age: Perspectives on online technologies and outcomes – Part 1 presents the following content: Chapter 1 emerging frontiers of learning online; chapter 2 empowering adult learners through blog; chapter 3 perspectives on the realities of virtual learning; chapter 4 the virtual university; chapter 5 using moodle to teach constructivist learning design skills to adult learners; chapter 6 community of inquiry in adult online learning; chapter 7 social networking, adult learning success and moodle; chapter 8 collaborative learning; chapter 9 MIPO model chapter...

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Ebook Adult learning in the digital age: Perspectives on online technologies and outcomes – Part 2 presents the following content: Chapter 11 web 2.0 technologies for problem-based and collaborative learning; chapter 12 information literacy in the digital age; chapter 13 integrating blogs in teacher education; chapter 14 facebook as public pedagogy; chapter 15 adult learners learning online; chapter 16 teaching technology to digital immigrants; chapter 17 some key success factors in web-based corporate training in Brazil; chapter 18 web 2.

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"Development of smart fruit crops by genome editing" discuss (i) the new findings in gene editing technologies, (ii) a comparison between them, and (iii) their applications for genetic analysis and manipulation of fruit crops. Different editing technologies, especially the CRISPR/Cas9 system, were successfully used in fruit crops such as apple, banana, cacao, citrus, grape, kiwifruit, and pear.

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Research on sustainable computing in agriculture has a great potential as an effective way to solve most agricultural technology bottlenecks, save resource costs, and drive sustainable agricultural development. This paper provides a systematic introduction to the data collection, data mining and evaluation, classification and application of sustainable algorithms involved in the field of sustainable computing in agriculture.

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Affected by global economic pressure and epidemics, sustainable agriculture has received widespread attention from farmers and agricultural engineers. Throughout history, agricultural technology has closely followed the pace of scientific and technological development and has followed the footsteps of mechanization, automation, and intelligence to progress continuously. At this stage, artificial intelligence (AI) is dominating the field of agriculture and advancing the progress of sustainable agriculture.

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This paper presents the research development on experiments of twophase flow hydrodynamic phenomena at Hanoi University of Science and Technology which include a small-scale test rig in vertical round tube configuration as well as the double-sensor conductivity probe for measuring of local two-phase flow parameters such as void fraction, phasic velocity, interfacial area concentration.

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Plasma facing components such as divertor receive huge heat load. Without proper solution to this problem, nuclear fusion reactor design would be impossible. In order to keep energy balance in the sensor, precious heat conduction model with proper boundary condition and initial condition must also be studied. Not only target temperature but also its time derivative need to be considered.

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Rapidly evolving high-throughput technology has made it cost-effective to collect multilevel omic data in clinical and biological studies. Different types of omic data collected from these studies provide both shared and complementary information, and can be integrated into association analysis to enhance the power of identifying novel disease-associated biomarkers.

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With the advances in the next-generation sequencing technologies, researchers can now rapidly examine the composition of samples from humans and their surroundings. To enhance the accuracy of taxonomy assignments in metagenomic samples, we developed a method that allows multiple mismatch probabilities from different genomes.

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Stripe rust is a serious fungal disease of wheat (Triticum aestivum L.) caused by Puccinia striiformis f. sp. tritici (Pst), which results in yield reduction and decreased grain quality. Breeding for genetic resistance to stripe rust is the most cost-effective method to control the disease.

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RNA sequencing (RNA-seq) technology has identified multiple differentially expressed (DE) genes associated to complex disease, however, these genes only explain a modest part of variance. Omnigenic model assumes that disease may be driven by genes with indirect relevance to disease and be propagated by functional pathways.

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The advance of high-throughput technologies has made it cost-effective to collect diverse types of omic data in large-scale clinical and biological studies. While the collection of the vast amounts of multi-level omic data from these studies provides a great opportunity for genetic research, the high dimensionality of omic data and complex relationships among multi-level omic data bring tremendous analytic challenges.

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Wet direct-seeded rice is a possible alternative to conventional puddled transplanted rice; the former uses less water and reduces labor requirements. Improving seed reserve utilization efficiency (SRUE) is a key factor in facilitating the application of this technology.

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Horse testis development and spermatogenesis are complex physiological processes. To study these processes, three immature and three mature testes were collected from the Mongolian horse, and six libraries were established using high-throughput RNA sequencing technology (RNA-Seq) to screen for genes related to testis development and spermatogenesis.

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Productivity of cowpea [Vigna unguiculata (L.) Walp] in sub-Sahara Africa is curtailed by a lack of farmer-preferred and improved cultivars and modern production technologies. The objectives of the study were to determine the extent of genetic diversity present among a collection of cowpea accessions from Zambia and Malawi using phenotypic traits and single nucleotide polymorphism (SNP) markers and, to select distinct and complementary parental lines for cultivar development.

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The rapid development of sequencing technology and simultaneously the availability of large quantities of sequence data has facilitated the identification of rare variant associated with quantitative traits. However, existing statistical methods depend on certain assumptions and thus lacking uniform power.

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Several technological advancements and digitization of healthcare data have provided the scientific community with a large quantity of genomic data. Such datasets facilitated a deeper understanding of several diseases and our health in general.

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Functional genetic variation plays an important role in predicting patients’ response to chemotherapeutic agents. A growing catalogue of mitochondrial DNA (mtDNA) alterations in various cancers point to their important roles in altering the drug responsiveness and survival of cancer cells.

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