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Papers in this issue:(1) Jesús García Laborda & Miguel Fernández Álvarez: Teachers' opinions towards the integration of oral tasks in the Spanish University Examination; (2)Oksana Laleko:Restructuring of verbal aspect in Heritage Russian: Beyond lexicalization; (3) Yu-Cheng Lee:Comparison of politeness and acceptability perceptions of request strategies between Chinese learners of English and native English speakers; (4) Kunal Kamal Kumar: Development and application of an instrument to find out the linguistic background of employees in MNCs; (5) Amelia Maria Cava: Abstracting science: A corpus-based approach to research article abstracts; (6) Reima Al-Jarf: Helping medical students with online videos; (7) Mohammad Ali Salmani Nodoushan & Nafiseh Khakbaz: Theses 'Discussion' sections: A structural move analysis; (8) Hossein Karami & Mohammad Ali Salmani Nodoushan: Differential Item Functioning (DIF): Current problems and future directions; (9) Forough Rahimi: Book Review
PAPERS IN THIS ISSUE: On the impact of differential item functioning on test fairness: A Rasch modeling approach (1-14) by Hossein KARAMI; The effect of focalized narrative texts on reading comprehension of EFL learners at Arak University (15-30) by Mahsa YAZDANI GHAREHAGHAJ & Zargham GHAPANCHI; Explicit instruction of form in a task-based learning environment (31-54) by Joy WEIGAND; Gender differences in Iranian EFL learners' textese and digitalk (55-72) by Azizeh CHALAK; The effect of mediational artifacts on EFL learners' reading comprehension performance (73-90) by Parisa DAFTARIFARD; EFL learners' proficiency level and critical thinking: The case of Iraqi university students (91-108) by Abbas Ali REZAEE & Lihadh MUBARAK; Inferring logical relations by male and female EFL learners (109-130) by Esmaeel ABDOLLAHZADEH
This book presents a unified account of the self, based on a network of knowledge sourced from several scientific accounts of selfhood. Beni constructs his ontological account of the self from the common structure that underpins the theoretical diversity that is manifested in rival and sometimes incompatible scientific accounts of the self and its aspects. The enterprise is inspired by recent structural realist theories in the philosophy of science, specifying the basic structure of the self, and explaining how representational, phenomenal, and social aspects of the self are embodied within this structure.
For modeling the transport of carriers in nanoscale devices, a Green-function formalism is the most accurate approach. Due to the complexity of the formalism, one should have a deep understanding of the underlying principles and use smart approximations and numerical methods for solving the kinetic equations at a reasonable computational time. In this book the required concepts from quantum and statistical mechanics and numerical methods for calculating Green functions are presented. The Green function is studied in detail for systems both under equilibrium and under nonequilibrium conditions. Because the formalism enables rigorous modeling of different scattering mechanisms in terms of self...
In this book, the author develops a new form of structural realism and deals with the problem of representation. The work combines two distinguished developments of the Semantic View of Theories, namely Structural Realism (SR), a flourishing theory from contemporary philosophy of science, and Ronald Giere and colleagues’ Cognitive Models of Science approach (CMSA). Readers will see how replacing the model-theoretic structures that are at issue in SR with connectionist networks and activations patterns (which are the formal tools of computational neuroscience) helps us to deal with the problem of representation. The author suggests that cognitive structures are not only the precise formal t...
The book covers preparation, designing and utilization of nanohybrid materials for biomedical applications. These materials can improve the effectiveness of drugs, promote high cell growth in new scaffolds, and lead to biodegradable surgical sutures. The use of hybrid magneto-plasmonic nanoparticles may lead to non-invasive therapies. The most promising materials are based on silica nanostructures, polymers, bioresorbable metals, liposomes, biopolymeric electrospun nanofibers, graphene, and gelatin. Much research focuses on the development of biomaterials for cell regeneration and wound healing applications. Keywords: Biomedical Materials, Cell Growth, Cell Regeneration, Wound Healing, Surgical Sutures, Non-invasive Therapies , Drug Transport, Tissue Engineering, Cardiovascular Implants, Fracture Repair Implants, Biodegradable Materials, Hybrid Magneto-plasmonic Nanoparticles, Silica Nanostructures, Polymers, Bioresorbable Metals, Liposomes, Biopolymeric Electrospun Nanofibers, Graphene, Gelatin-based Hydrogels.
This book constitutes revised selected papers from the refereed proceedings of the 20th International Conference of the Italian Association for Artificial Intelligence, AIxIA 2021, which was held virtually in December 2021. The 36 full papers included in this book were carefully reviewed and selected from 58 submissions; the volume also contains 12 extended and revised workshop contributions. The papers were organized in topical sections as follows: Planning and strategies; constraints, argumentation, and logic programming; knowledge representation, reasoning, and learning; natural language processing; AI for content and social media analysis; signal processing: images, videos and speech; machine learning for argumentation, explanation, and exploration; machine learning and applications; and AI applications.
This book on migraine is the first machine-generated scientific book in medicine published by Springer Nature, and reflects a new publication format which focuses on literature reviews: state-of-the-art computer algorithms were applied to select relevant sources from Springer Nature journal articles, rearrange them in a topical order, and provide short summaries of these articles. The result is the auto-summarization of current texts, organized by means of a similarity-based clustering routine in coherent chapters and sections. The human intervention of a world-renowned expert in this field grants the scientific soundness and appropriate organization of the contents identified. The AI-based ...