Hasil untuk "History (General)"

David Silver, T. Hubert, Julian Schrittwieser et al.

The game of chess is the most widely-studied domain in the history of artificial intelligence. The strongest programs are based on a combination of sophisticated search techniques, domain-specific adaptations, and handcrafted evaluation functions that have been refined by human experts over several decades. In contrast, the AlphaGo Zero program recently achieved superhuman performance in the game of Go, by tabula rasa reinforcement learning from games of self-play. In this paper, we generalise this approach into a single AlphaZero algorithm that can achieve, tabula rasa, superhuman performance in many challenging domains. Starting from random play, and given no domain knowledge except the game rules, AlphaZero achieved within 24 hours a superhuman level of play in the games of chess and shogi (Japanese chess) as well as Go, and convincingly defeated a world-champion program in each case.

Inés Mármol, Cristina Sánchez-de-Diego, A. Pradilla Dieste et al.

Colorectal cancer (CRC) is the third most common cancer and the fourth most common cause of cancer-related death. Most cases of CRC are detected in Western countries, with its incidence increasing year by year. The probability of suffering from colorectal cancer is about 4%–5% and the risk for developing CRC is associated with personal features or habits such as age, chronic disease history and lifestyle. In this context, the gut microbiota has a relevant role, and dysbiosis situations can induce colonic carcinogenesis through a chronic inflammation mechanism. Some of the bacteria responsible for this multiphase process include Fusobacterium spp, Bacteroides fragilis and enteropathogenic Escherichia coli. CRC is caused by mutations that target oncogenes, tumour suppressor genes and genes related to DNA repair mechanisms. Depending on the origin of the mutation, colorectal carcinomas can be classified as sporadic (70%); inherited (5%) and familial (25%). The pathogenic mechanisms leading to this situation can be included in three types, namely chromosomal instability (CIN), microsatellite instability (MSI) and CpG island methylator phenotype (CIMP). Within these types of CRC, common mutations, chromosomal changes and translocations have been reported to affect important pathways (WNT, MAPK/PI3K, TGF-β, TP53), and mutations; in particular, genes such as c-MYC, KRAS, BRAF, PIK3CA, PTEN, SMAD2 and SMAD4 can be used as predictive markers for patient outcome. In addition to gene mutations, alterations in ncRNAs, such as lncRNA or miRNA, can also contribute to different steps of the carcinogenesis process and have a predictive value when used as biomarkers. In consequence, different panels of genes and mRNA are being developed to improve prognosis and treatment selection. The choice of first-line treatment in CRC follows a multimodal approach based on tumour-related characteristics and usually comprises surgical resection followed by chemotherapy combined with monoclonal antibodies or proteins against vascular endothelial growth factor (VEGF) and epidermal growth receptor (EGFR). Besides traditional chemotherapy, alternative therapies (such as agarose tumour macrobeads, anti-inflammatory drugs, probiotics, and gold-based drugs) are currently being studied to increase treatment effectiveness and reduce side effects.

June-Goo Lee, Sanghoon Jun, Younghoon Cho et al.

The artificial neural network (ANN)–a machine learning technique inspired by the human neuronal synapse system–was introduced in the 1950s. However, the ANN was previously limited in its ability to solve actual problems, due to the vanishing gradient and overfitting problems with training of deep architecture, lack of computing power, and primarily the absence of sufficient data to train the computer system. Interest in this concept has lately resurfaced, due to the availability of big data, enhanced computing power with the current graphics processing units, and novel algorithms to train the deep neural network. Recent studies on this technology suggest its potentially to perform better than humans in some visual and auditory recognition tasks, which may portend its applications in medicine and healthcare, especially in medical imaging, in the foreseeable future. This review article offers perspectives on the history, development, and applications of deep learning technology, particularly regarding its applications in medical imaging.

Eleni Adamopoulou, Lefteris Moussiades

Abstract This literature review presents the History, Technology, and Applications of Natural Dialog Systems or simply chatbots. It aims to organize critical information that is a necessary background for further research activity in the field of chatbots. More specifically, while giving the historical evolution, from the generative idea to the present day, we point out possible weaknesses of each stage. After we present a complete categorization system, we analyze the two essential implementation technologies, namely, the pattern matching approach and machine learning. Moreover, we compose a general architectural design that gathers critical details, and we highlight crucial issues to take into account before system design. Furthermore, we present chatbots applications and industrial use cases while we point out the risks of using chatbots and suggest ways to mitigate them. Finally, we conclude by stating our view regarding the direction of technology so that chatbots will become really smart.

R. C. Stebbins, Nathan W. Cohen

This is a book for all readers who want to learn about amphibians, the animal group that includes frogs, toads, salamanders, and caecilians. It draws on many years of classroom teaching, laboratory experience, and field observation by the authors. The authors explore some of nature's most interesting creatures, interspersing their own observations throughout the book. The book can serve as a textbook for students and independent learners, as an overview of the field for professional scientists and land managers, and as an introduction for general readers. The class Amphibia contains more than 4500 known living species. New species are being discovered so rapidly that the number may grow to more than 5000 during our lifetimes. However, their numbers are being rapidly diminished around the globe, largely due to the encroachment of humans on amphibian habitats and from growing human-caused environmental pollution, discussed at length in the final chapter. The authors focus our attention on the "natural history" of amphibians world-wide and emphasize their interactions with their environments over time: where they live; how they reproduce; how they have been affected by evolutionary processes; what factors will determine their destinies over time.

Anthony B. Atkinson, T. Piketty, Emmanuel Saez

S. Nojiri, S. Odintsov

Classical generalization of general relativity is considered as gravitational alternative for unified description of the early-time inflation with late-time cosmic acceleration. The structure and cosmological properties of number of modified theories, including traditional $F(R)$ and Hořava-Lifshitz $F(R)$ gravity, scalar-tensor theory, string-inspired and Gauss-Bonnet theory, non-local gravity, non-minimally coupled models, and power-counting renormalizable covariant gravity are discussed. Different representations and relations between such theories are investigated. It is shown that some versions of above theories may be consistent with local tests and may provide qualitatively reasonable unified description of inflation with dark energy epoch. The cosmological reconstruction of different modified gravities is made in great detail. It is demonstrated that eventually any given universe evolution may be reconstructed for the theories under consideration: the explicit reconstruction is applied to accelerating spatially-flat FRW universe. Special attention is paid to Lagrange multiplier constrained and conventional $F(R)$ gravities, for last theory the effective $\Lambda$CDM era and phantom-divide crossing acceleration are obtained. The occurrence of Big Rip and other finite-time future singularities in modified gravity is reviewed as well as its curing via the addition of higher-derivative gravitational invariants.

R. Spitzer, Janet B W Williams, M. Gibbon et al.

F. Saussure

Introduction to the Bloomsbury Revelations Edition Preface to the First Edition Preface to the Second Edition Preface to the Third Edition Editor's Introduction, Roy Harris Introduction 1. A Brief Survey of the History of Linguistics 2. Data and Aims of Linguistics: Connexions with Related Sciences 3. The Object of Study 4. Linguistics of Language Structure and Linguistics of Speech 5. Internal and External Elements of a Language 6. Representation of a Language by Writing 7. Physiological Phonetics Appendix: Principles of Physiological Phonetics 1. Sound Types 2. Sounds in Spoken Sequences Part One: General Principles 1. Nature of the Linguistic Sign 2. Invariability and Variability of the Sign 3. Static Linguistics and Evolutionary Linguistics Part Two: Synchronic Linguistics 1. General Observations 2. Concrete Entities of a Language 3. Identities, Realities, Values 4. Linguistic Value 5. Syntagmatic Relations and Associative Relations 6. The Language Mechanism 7. Grammar and Its Subdivisions 8. Abstract Entities in Grammar Part Three: Diachronic Linguistics 1. General Observations 2. Sound Changes 3. Grammatical Consequences of Phonetic Evolution 4. Analogy 5. Analogy and Evolution 6. Popular Etymology 7. Agglutination 8. Diachronic Units,Identities and Realities Appendices Part Four: Geographical Linguistics 1. On the Diversity of Languages 2. Geographical Diversity: Its Complexity 3. Causes of Geographical Diversity 4. Propagation of Linguistic Waves Part Five: Questions of Retrospective Linguistics Conclusion 1. The Two Perspectives of Diachronic Linguistics 2. Earliest Languages and Prototypes 3. Reconstructions 4. Linguistic Evidence in Anthropology and Prehistory 5. Language Families and Linguistic Types Index

B. Grant, D. Dawson, F. Stinson et al.

S. Stearns

L. Adams, J. Lymp, J. S. St. Sauver et al.

Naoe Kaneko, M. Kurata, Toshihiro Yamamoto et al.

Interleukin-1, an inflammatory cytokine, is considered to have diverse physiological functions and pathological significances and play an important role in health and disease. In this decade, interleukin-1 family members have been expanding and evidence is accumulating that highlights the importance of interleukin-1 in linking innate immunity with a broad spectrum of diseases beyond inflammatory diseases. In this review, we look back on the definition of “inflammation” in traditional general pathology and discuss new insights into interleukin-1 in view of its history and the molecular bases of diseases, as well as current progress in therapeutics.

A. Ferguson

D. Wilhelms, N. Trask

Hui-yao Wang, Qian Xia, Zhenzhen Xiong et al.

Background As the epidemic outbreak of 2019 coronavirus disease (COVID-19), general population may experience psychological distress. Evidence has suggested that negative coping styles may be related to subsequent mental illness. Therefore, we investigate the general population's psychological distress and coping styles in the early stages of the COVID-19 outbreak. Methods A cross-sectional battery of surveys was conducted from February 1-4, 2020. The Kessler 6 psychological distress scale, the simplified coping style questionnaire and a general information questionnaire were administered on-line to a convenience sample of 1599 in China. Spearman's correlation was used to measure the correlations among category variables. Results General population's psychological distress were significant differences based on age, marriage, epidemic contact characteristics, concern with media reports, and perceived impacts of the epidemic outbreak (all p <0.001) except gender (p=0.316). Those with a history of visiting Wuhan and a history of epidemics occurring in the community, more concern with media reports, perceived more severe impacts and negative coping style had a higher level of psychological distress, which was significantly positively correlated with a history of visiting Wuhan (r=0.548, p<0.001), a history of epidemics occurring in the community (r=0.219, p<0.001), and concern with media reports (r=0.192, p<0.001). Coping styles were significantly different across all category variables (all p <0.001), and negatively correlated with other category variables (all p<0.01) except age and marriage. Psychological distress was significantly negatively correlated with the coping style (r=-0.573, p<0.01). Conclusions In the early stages of COVID-19, general population with epidemic contact characteristics, excessive concern with media reports, and perceived more severe impacts have higher levels of psychological distress. Psychological distress was significantly negatively correlated with the coping style. Interventions should be implemented early, especially for those population with a high level of psychological distress and/or with a negative coping style.

Chen Qu, Liu Yang, Minghui Qiu et al.

Conversational search is an emerging topic in the information retrieval community. One of the major challenges to multi-turn conversational search is to model the conversation history to answer the current question. Existing methods either prepend history turns to the current question or use complicated attention mechanisms to model the history. We propose a conceptually simple yet highly effective approach referred to as history answer embedding. It enables seamless integration of conversation history into a conversational question answering (ConvQA) model built on BERT (Bidirectional Encoder Representations from Transformers). We first explain our view that ConvQA is a simplified but concrete setting of conversational search, and then we provide a general framework to solve ConvQA. We further demonstrate the effectiveness of our approach under this framework. Finally, we analyze the impact of different numbers of history turns under different settings to provide new insights into conversation history modeling in ConvQA.

Сивкова Мария Юрьевна, Сенкевич Даниил Алексеевич

Флорентийская мозаика в силу высокой стоимости изготовления и трудоемкости исполнения менее распространена в монументальном искусстве по сравнению с другими техниками. Ее эстетические свойства позволяют решать очень разнообразные задачи: от монументального оформления станций метро до применения в храмовой архитектуре. В конце ХХ – начале ХХI вв. активное строительство культовых сооружений в Объединенных Арабских Эмиратах с участием художников, дизайнеров и архитекторов из Европы, Японии, США ознаменовало новый виток развития мозаичного искусства – создание крупных ансамблей объектов арабо-мусульманской архитектуры. Новаторский подход в плане композиционных решений рассматривается на примере мечети шейха Заеда, традиционный – президентского дворца Каср Аль-Ваттан. Выявлено, что флорентийская мозаика не только выполняет декоративную функцию, но и имеет идеологическое значение, поскольку в композициях, созданных в этой технике, флоральные и орнаментальные мотивы глубоко символичны и часто несут сакральный смысл. Заключается, что применение данной дорогостоящей техники в исламской архитектуре стало средством подчеркнуть статус Объединенных Арабских Эмиратов в исламском мире, а также подчеркнуть открытость страны для культурного диалога.

Li Ji, Huayong Zhang, Huayong Zhang et al.

Warming is a key factor influencing the function of the structure and function of phytoplankton communities. However, the impacts of temperature on phytoplankton resource use efficiency (RUE) in mountain rivers remain poorly understood. Here, the spatiotemporal patterns of phytoplankton community structure (biomass, community composition, and diversity), function (RUE), and the main environmental factors in a high-latitude mountainous stream were investigated to assess how temperature affects the phytoplankton RUE. The results showed that phytoplankton species richness, biomass, and RUE all increased with rising temperature, with species richness significantly higher. There was a shift in the phytoplankton community from dominated by Cyanophyta at lower temperatures to dominated by Cryptophyta at higher temperatures. Phytoplankton RUE was significantly positively correlated to species richness, but no significant relationship was observed between RUE and Pielou’s evenness. Furthermore, redundancy analysis and Mantel tests revealed that water temperature, nutrient (TP, and NH4+-N) and physicochemical variable (flow velocity, and dissolved oxygen) explained 40.40% of the overall variation in phytoplankton RUE. Phytoplankton RUE exhibited stronger responses to environmental variables than phytoplankton biomass or diversity. The results highlighted that temperature directly affected phytoplankton community composition and enhanced RUE by altering environmental conditions and biodiversity. Temperature plays a crucial role in shaping the structure and function of phytoplankton communities in rivers. Our results contribute to the deep understanding of the mechanisms by which temperature influences RUE providing a basis for the sustainable management and conservation of aquatic ecosystems and watersheds.

Hisashi Hayakawa

On a centennial timescale, solar activity was quantified based on records of instrumental sunspot observations. This article briefly discusses several aspects of the recent archival investigations of historical sunspot records in the 17th to 18th centuries. This article also reviews the recent updates for the active day fraction and positions of the reported sunspot groups of the Maunder Minimum to show their significance within the observational history. These archival investigations serve as base datasets for reconstructing solar activity.