Bioinformatics

This book is divided into different research areas relevant in Bioinformatics such as biological networks, next generation sequencing, high performance computing, molecular modeling, structural bioinformatics, molecular modeling and intelligent data analysis. Each book section introduces the basic concepts and then explains its application to problems of great relevance, so both novice and expert readers can benefit from the information and research works presented here

Semantic Domains in Akkadian Text

The article examines the possibilities offered by language technology for analyzing semantic fields in Akkadian. The corpus of data for our research group is the existing electronic corpora, Open richly annotated cuneiform corpus (ORACC). In addition to more traditional Assyriological methods, the article explores two language technological methods: Pointwise mutual information (PMI) and Word2vec.Peer reviewe

CyberResearch on the Ancient Near East and Eastern Mediterranean

CyberResearch on the Ancient Near East and Neighboring Regions provides case studies on archaeology, objects, cuneiform texts, and online publishing, digital archiving, and preservation. Eleven chapters present a rich array of material, spanning the fifth through the first millennium BCE, from Anatolia, the Levant, Mesopotamia, and Iran. Customized cyber- and general glossaries support readers who lack either a technical background or familiarity with the ancient cultures. Edited by Vanessa Bigot Juloux, Amy Rebecca Gansell, and Alessandro Di Ludovico, this volume is dedicated to broadening the understanding and accessibility of digital humanities tools, methodologies, and results to Ancient Near Eastern Studies. Ultimately, this book provides a model for introducing cyber-studies to the mainstream of humanities research

Women in Artificial intelligence (AI)

This Special Issue, entitled "Women in Artificial Intelligence" includes 17 papers from leading women scientists. The papers cover a broad scope of research areas within Artificial Intelligence, including machine learning, perception, reasoning or planning, among others. The papers have applications to relevant fields, such as human health, finance, or education. It is worth noting that the Issue includes three papers that deal with different aspects of gender bias in Artificial Intelligence. All the papers have a woman as the first author. We can proudly say that these women are from countries worldwide, such as France, Czech Republic, United Kingdom, Australia, Bangladesh, Yemen, Romania, India, Cuba, Bangladesh and Spain. In conclusion, apart from its intrinsic scientific value as a Special Issue, combining interesting research works, this Special Issue intends to increase the invisibility of women in AI, showing where they are, what they do, and how they contribute to developments in Artificial Intelligence from their different places, positions, research branches and application fields. We planned to issue this book on the on Ada Lovelace Day (11/10/2022), a date internationally dedicated to the first computer programmer, a woman who had to fight the gender difficulties of her times, in the XIX century. We also thank the publisher for making this possible, thus allowing for this book to become a part of the international activities dedicated to celebrating the value of women in ICT all over the world. With this book, we want to pay homage to all the women that contributed over the years to the field of AI

Social work with airports passengers

Social work at the airport is in to offer to passengers social services. The main methodological position is that people are under stress, which characterized by a particular set of characteristics in appearance and behavior. In such circumstances passenger attracts in his actions some attention. Only person whom he trusts can help him with the documents or psychologically

Advances in Sensors, Big Data and Machine Learning in Intelligent Animal Farming

Animal production (e.g., milk, meat, and eggs) provides valuable protein production for human beings and animals. However, animal production is facing several challenges worldwide such as environmental impacts and animal welfare/health concerns. In animal farming operations, accurate and efficient monitoring of animal information and behavior can help analyze the health and welfare status of animals and identify sick or abnormal individuals at an early stage to reduce economic losses and protect animal welfare. In recent years, there has been growing interest in animal welfare. At present, sensors, big data, machine learning, and artificial intelligence are used to improve management efficiency, reduce production costs, and enhance animal welfare. Although these technologies still have challenges and limitations, the application and exploration of these technologies in animal farms will greatly promote the intelligent management of farms. Therefore, this Special Issue will collect original papers with novel contributions based on technologies such as sensors, big data, machine learning, and artificial intelligence to study animal behavior monitoring and recognition, environmental monitoring, health evaluation, etc., to promote intelligent and accurate animal farm management

High level of local endemism under high risk of extinction: Systematics, evolution, autecology, population and conservation status of Tiger geckos (Goniurosaurus) in Vietnam

Tiger geckos of the genus Goniurosaurus currently consist of 24 species in Southeast and East Asia, all of which have been found in allopatry with a high level of local endemism. Five species are currently known from Vietnam, viz. G. araneus, G. catbaensis, G. huuliensis, G. lichtenfelderi and G. luii. Although new species of Goniurosaurus are still being discovered, the genus has become threatened by extinction through anthropogenic impacts. Unfortunately, once the thesis started, none of Goniurosaurus species were yet included in any wildlife protection laws, neither in China nor in Vietnam. In spite of the urgent requirement for protection, Goniurosaurus species have been omitted from the prioritization of conservation schemes due to a lack of biological background. In this study, I employed integrative methods of morphology, genetics, ecology, demography, and species distribution models in order to provide insights into the systematics, evolution, autecology, population status and threats of tiger geckos in Vietnam for conservation implications. Based on data collected during recent field work by our team, we expanded morphological descriptions of Vietnamese tiger geckos, evaluated variations among all Goniurosaurus species and provided an identification key. Our phylogenetic analyses showed that all recorded populations of Goniurosaurus from Vietnam are monophyletic with low intraspecific divergences (0 – 1.9 %), which are assigned to one of the four known species, namely G. catbaensis, G. huuliensis, G. lichtenfelderi and G. luii. Together with genetic data of remaining species from China and Japan, we evaluated the phylogeny of 23 species of Goniurosaurus. The analysis strongly supported the recognition of four monophyletic species groups (namely G. kuroiwae, G. lichtenfelderi, G. luii and G. yingdeensis). We further calibrated the divergence date of generic origin in the Eocene (approximately ~45.3 mya), and the diversification within four monophyletic groups began in the mid-Miocene ~13.4 – 7.7 mya and continued to at least the mid-Pliocene ~2 mya among species. The cladogenetic events of Goniurosaurus were ergo assumed relative to past orogeny processes following the vicariance pattern, adapted habitat segregation (e.g. karst and granite) and altitudinal transition. Given the Grinnellian niche evolution, the speciation among Goniurosaurus species was further explained with both climatic niche conservatism and divergence patterns. We studied the habitat preference of four Vietnamese tiger gecko species. The ecological analyses confirmed that three Goniurosaurus species (G. catbaensis, G. huuliensis and G. luii) are limestone karst-dwelling specialists, while the habitat preference of G. lichtenfelderi is significantly different, viz. adapted to granite-stream forest. Being aware of the importance of demographical information for species conservation efforts, population monitoring was carried out to estimate the population size and density of two Vietnamese Goniurosaurus species (namely, G. catbaensis and G. huuliensis). Consequently, their population size and density were found to be exceedingly small and negatively correlated to the increasing severity of human impacts. 3In this study, an extensive attempt was implemented to outline domestic and international trade activities in Goniurosaurus species. As a result, a large number of wild Goniurosaurus individuals from Vietnam and China have been over-harvested for international trade, although our records only reflected snapshots. Given potential impacts of climate change, we applied species distribution models (SDMs) to project the potential distribution of three Vietnamese Goniurosaurus species (namely, G. catbaensis, G. huuliensis and G. lichtenfelderi). Under climate change scenarios, their suitable habitats were predicted to shift towards higher latitudes, shrink significantly and even vanish in their entire distribution within the next decades. Furthermore, the increasing rate of habitat degradation and forest conversions dramatically imperils wild populations of Goniurosaurus species in Vietnam. Under severe human impacts, all species of Goniurosaurus from China and Vietnam were listed in CITES Appendix II, and Vietnamese species were assessed as globally threatened in the IUCN Red List and were protected by national laws as well. In this context, we identified priority areas – especially in protected areas, islands and transboundary regions – for conservation actions, and highly recommended the establishment of species and habitat conservation areas for tiger geckos in Vietnam. In conclusion, this study clarified issues related to the systematics and proved evolutionary hypotheses of geographical origin and relevant abiotic factors for the diversification of Goniurosaurus species and their allopatric distribution. Together with assessments of ecology, demography and anthropogenic threats, the thesis emphasized the urgent requirement of conservation actions. In this context, conservation programs and solutions were proposed to protect Goniurosaurus species in Vietnam and their habitats in the future