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Current Developmental Disorders Reports commissions expert reviews from leading scientists and clinicians in the field of developmental disorders. What makes the journal unique is its focus—coverage of not one but a host of major disorders in the field, ranging from autism, ADHD, and Tourette’s syndrome, to motor disorders such as cerebral palsy and developmental coordination disorder, through to language and reading disorders such as developmental dyslexia. International authorities serve as editorial board members and section editors, and articles from some of the world’s leading researchers will focus on timely and current reviews of the literature in areas spanning the continuum from bench to communities to individuals. Reviews on new scientific discoveries in neurosciences, genetics, and epidemiology, as well as clinical interventions and policy will provide readers with access to new, innovative, and impactful discoveries as they emerge.

Evidence-Based Dentistry delivers the best available evidence on the latest developments in oral health. We evaluate the evidence and provide guidance concerning the value of the author's conclusions. We keep dentistry up to date with new approaches, exploring a wide range of the latest developments through an accessible expert commentary. Original papers and relevant publications are condensed into digestible summaries, drawing attention to the current methods and findings. We are a central resource for the most cutting edge and relevant issues concerning the evidence-based approach in dentistry today. Evidence-Based Dentistry is published by Springer Nature on behalf of the British Dental Association.

Data Science has been established as an important emergent scientific field and paradigm driving research evolution in such disciplines as statistics, computing science and intelligence science, and practical transformation in such domains as science, engineering, the public sector, business, social sci­ence, and lifestyle. The field encompasses the larger ar­eas of artificial intelligence, data analytics, machine learning, pattern recognition, natural language understanding, and big data manipulation. It also tackles related new sci­entific chal­lenges, ranging from data capture, creation, storage, retrieval, sharing, analysis, optimization, and vis­ualization, to integrative analysis across heterogeneous and interdependent complex resources for better decision-making, collaboration, and, ultimately, value creation.The International Journal of Data Science and Analytics (JDSA) brings together thought leaders, researchers, industry practitioners, and potential users of data science and analytics, to develop the field, discuss new trends and opportunities, exchange ideas and practices, and promote transdisciplinary and cross-domain collaborations. The jour­nal is composed of three streams: Regular, to communicate original and reproducible theoretical and experimental findings on data science and analytics; Applications, to report the significant data science applications to real-life situations; and Trends, to report expert opinion and comprehensive surveys and reviews of relevant areas and topics in data science and analytics.Topics of relevance include all aspects of the trends, scientific foundations, techniques, and applica­tions of data science and analytics, with a primary focus on:statistical and mathematical foundations for data science and analytics;understanding and analytics of complex data, human, domain, network, organizational, social, behavior, and system characteristics, complexities and intelligences;creation and extraction, processing, representation and modelling, learning and discovery, fusion and integration, presentation and visualization of complex data, behavior, knowledge and intelligence;data analytics, pattern recognition, knowledge discovery, machine learning, deep analytics and deep learning, and intelligent processing of various data (including transaction, text, image, video, graph and network), behaviors and systems;active, real-time, personalized, actionable and automated analytics, learning, computation, optimization, presentation and recommendation; big data architecture, infrastructure, computing, matching, indexing, query processing, mapping, search, retrieval, interopera­bility, exchange, and recommendation;in-memory, distributed, parallel, scalable and high-performance computing, analytics and optimization for big data;review, surveys, trends, prospects and opportunities of data science research, innovation and applications;data science applications, intelligent devices and services in scientific, business, governmental, cultural, behavioral, social and economic, health and medical, human, natural and artificial (including online/Web, cloud, IoT, mobile and social media) domains; andethics, quality, privacy, safety and security, trust, and risk of data science and analytics

The Journal of Academic Ethics is a multidisciplinary and interdisciplinary, peer reviewed journal which examines all ethical issues which arise within the scope of university purposes. The journal publishes original research in the ethics of research production and publication; teaching and student relations; leadership; management and governance. The journal offers sustained inquiry into such topics as the ethics of university strategic directions; ethical investments; sustainability practices; the responsible conduct of research and teaching; collegiality and faculty relations; and the appropriate models of ethical and accountable governance for universities in the 21st century.

Journal of Biosystems Engineering offers to publish original research articles, review articles and technical note, quarterly and integrates general engineering with applied agricultural, biological, environmental, food, and livestock systems to solve problems in complex living systems. The journal aims to selectively publish highly notable original articles to advance and disseminate scientific and technical knowledge in the field of biosystems engineering. JBE covers a wide range of topics related to the following categories: i) off-road machinery system engineering (including agricultural farm power and machinery, agricultural safety and health, agricultural and biosystems management, soil and terra-mechanics, and forest machinery), ii) agri-environmental system engineering and energy (including structure and facilities for living systems, indoor environmental control, livestock machinery, horticultural machinery, plant factory, and biomass/renewable energy), iii) agricultural process and food engineering (including postharvest technology, food quality and safety, and food processing and packaging), iv)  biological engineering (including biomechanics, biosensors, bioMEMS/NEMS, and tissue engineering), v) information technology and electronics (including information and precision agriculture, instrumentation and controls, and robotics), and vi) emerging technology related to smart farming, micro- and nano-agriculture, artificial intelligence, analysis and applications of big data in the field of biosystems engineering.

Journal of Patient-Reported Outcomes is a leading international peer-reviewed journal publishing original research, clinical updates, and reviews indexed in Clarivate Web of Science (SCIE) with Q2 quartile ranking.

Minerva is devoted to the study of ideas, traditions, cultures and institutions in science, higher education and research. It is concerned no less with history than with present practice, and with the local as well as the global. It speaks to the scholar, the teacher, the policy-maker and the administrator. It features articles, essay reviews and 'special' issues on themes of topical importance. It represents no single school of thought, but welcomes diversity, within the rules of rational discourse. Its contributions are peer-reviewed. Its audience is world-wide.

Research and Practice in Technology Enhanced Learning is a leading international peer-reviewed journal publishing original research, clinical updates, and reviews indexed in Clarivate Web of Science (SCIE) with Q1 quartile ranking.

Discover Oncology is a leading international peer-reviewed journal publishing original research, clinical updates, and reviews indexed in Clarivate Web of Science (SCIE) with Q3 quartile ranking.

The main objective of this international journal is to advance knowledge and dissemination of research on and about assessment, evaluation and accountability of all kinds and on various levels as well as in all fields of education.  The journal provides readers with an understanding of the rich contextual nature of evaluation, assessment and accountability in education. The journal is theory-oriented and methodology-based and seeks to connect research, policy making and practice.  The journal publishes outstanding empirical works, peer-reviewed by eminent scholars around the world.Aims and Scope in more detail: The main objective of this international journal is to advance knowledge and dissemination of research on and about evaluation, assessment and accountability: - of all kinds (e.g. person, programme, organisation), - on various levels (state, regional, local), - in all fields of education (primary, secondary, higher education/tertiary, as well as non-school sector) and across all different life phases (e.g. adult education/andragogy/Human Resource Management/professional development).The journal provides readers with an understanding of the rich contextual nature of evaluation, assessment and accountability in education. The journal is theory-oriented and methodology-based and seeks to connect research, policy making and practice. Therefore, the journal explores and discusses: -       theories of evaluation, assessment and accountability, -       function, role, aims and purpose of evaluation, assessment and accountability, -       impact of evaluation, assessment and accountability, -       methodology, design and methods of evaluation, assessment and accountability, -       principles, standards and quality of evaluation, assessment and accountability, -       issues of planning, coordinating, conducting, reporting of evaluation, assessment and accountability.The journal also covers the quality of different instruments or procedures or approaches which are used for evaluation, assessment and accountability.The journal only includes research findings from evaluation, assessment and accountability, if the design or approach of it is meta-reflected in the article.The journal publishes outstanding empirical works, peer-reviewed by eminent scholars around the world.

The European Journal on Criminal Policy and Research is a peer-reviewed criminology journal, with an international and interdisciplinary focus. It welcomes submissions from Europe and well beyond, from different disciplines and traditions, where crime issues are connected to their socio-, psychological and economic contexts. The focus of its peer-reviewed coverage is on understanding crime trends in different geographical and socio-economic contexts, on presenting innovative crime prevention policies and practices, presenting innovative methodologies, and on following legislative and institutional change. The journal aims to strengthen the link between research and policies in the area of crime and justice, and welcomes submissions with a policy-related component.Discussion includes the trade-off between security and rights and ways to optimize the effectiveness of criminal justice systems with respect to human and civil rights. Recognizing that criminal justice systems are not the only method for dealing with crime, the journal also devotes attention to alternative policies and practices.Its four annual issues include one thematic issue and three that are open to various contributions.

The idea underlying the journal, Group Decision and Negotiation, emerges from evolving, unifying approaches to group decision and negotiation processes. These processes are complex and self-organizing involving multiplayer, multicriteria, ill-structured, evolving, dynamic problems. Approaches include (1) computer group decision and negotiation support systems (GDNSS), (2) artificial intelligence and management science, (3) applied game theory, experiment and social choice, and (4) cognitive/behavioral sciences in group decision and negotiation. A number of research studies combine two or more of these fields. The journal provides a publication vehicle for theoretical and empirical research, and real-world applications and case studies. In defining the domain of group decision and negotiation, the term `group' is interpreted to comprise all multiplayer contexts. Thus, organizational decision support systems providing organization-wide support are included. Group decision and negotiation refers to the whole process or flow of activities relevant to group decision and negotiation, not only to the final choice itself, e.g. scanning, communication and information sharing, problem definition (representation) and evolution, alternative generation and social-emotional interaction. Descriptive, normative and design viewpoints are of interest. Thus, Group Decision and Negotiation deals broadly with relation and coordination in group processes. Areas of application include intraorganizational coordination (as in operations management and integrated design, production, finance, marketing and distribution, e.g. as in new products and global coordination), computer supported collaborative work, labor-management negotiations, interorganizational negotiations, (business, government and nonprofits -- e.g. joint ventures), international (intercultural) negotiations, environmental negotiations, etc. The journal also covers developments of software f or group decision and negotiation.

Health Care Management Science publishes papers dealing with health care delivery, health care management, and health care policy. Papers should have a decision focus and make use of quantitative methods including management science, operations research, analytics, machine learning, and other emerging areas. Articles must clearly articulate the relevance and the realized or potential impact of the work. Applied research will be considered and is of particular interest if there is evidence that it was implemented or informed a decision-making process. Papers describing routine applications of known methods are discouraged. Authors are encouraged to disclose all data and analyses thereof, and to provide computational code when appropriate. Editorial statements for the individual departments are provided below. Health Care Analytics Departmental Editors: Margrét Bjarnadóttir, University of Maryland Nan Kong, Purdue University With the explosion in computing power and available data, we have seen fast changes in the analytics applied in the healthcare space. The Health Care Analytics department welcomes papers applying a broad range of analytical approaches, including those rooted in machine learning, survival analysis, and complex event analysis, that allow healthcare professionals to find opportunities for improvement in health system management, patient engagement, spending, and diagnosis. We especially encourage papers that combine predictive and prescriptive analytics to improve decision making and health care outcomes. The contribution of papers can be across multiple dimensions including new methodology, novel modeling techniques and health care through real-world cohort studies. Papers that are methodologically focused need in addition to show practical relevance. Similarly papers that are application focused should clearly demonstrate improvements over the status quo and available approaches by applying rigorous analytics. Health Care Operations Management Departmental Editors: Nilay Tanik Argon, University of North Carolina at Chapel Hill Bob Batt, University of Wisconsin The department invites high-quality papers on the design, control, and analysis of operations at healthcare systems. We seek papers on classical operations management issues (such as scheduling, routing, queuing, transportation, patient flow, and quality) as well as non-traditional problems driven by everchanging healthcare practice. Empirical, experimental, and analytical (model based) methodologies are all welcome. Papers may draw theory from across disciplines, and should provide insight into improving operations from the perspective of patients, service providers, organizations (municipal/government/industry), and/or society. Health Care Management Science Practice Departmental Editor: Vikram Tiwari, Vanderbilt University Medical Center The department seeks research from academicians and practitioners that highlights Management Science based solutions directly relevant to the practice of healthcare. Relevance is judged by the impact on practice, as well as the degree to which researchers engaged with practitioners in understanding the problem context and in developing the solution. Validity, that is, the extent to which the results presented do or would apply in practice is a key evaluation criterion. In addition to meeting the journal’s standards of originality and substantial contribution to knowledge creation, research that can be replicated in other organizations is encouraged. Papers describing unsuccessful applied research projects may be considered if there are generalizable learning points addressing why the project was unsuccessful. Health Care Productivity Analysis Departmental Editor: Jonas Schreyögg, University of Hamburg The department invites papers with rigorous methods and significant impact for policy and practice. Papers typically apply theory and techniques to measuring productivity in health care organizations and systems. The journal welcomes state-of-the-art parametric as well as non-parametric techniques such as data envelopment analysis, stochastic frontier analysis or partial frontier analysis. The contribution of papers can be manifold including new methodology, novel combination of existing methods or application of existing methods to new contexts. Empirical papers should produce results generalizable beyond a selected set of health care organizations. All papers should include a section on implications for management or policy to enhance productivity. Public Health Policy and Medical Decision Making Departmental Editors: Ebru Bish, University of Alabama Julie L. Higle, University of Southern California The department invites high quality papers that use data-driven methods to address important problems that arise in public health policy and medical decision-making domains. We welcome submissions that develop and apply mathematical and computational models in support of data-driven and model-based analyses for these problems. The Public Health Policy and Medical Decision-Making Department is particularly interested in papers that: Study high-impact problems involving health policy, treatment planning and design, and clinical applications; Develop original data-driven models, including those that integrate disease modeling with screening and/or treatment guidelines; Use model-based analyses as decision making-tools to identify optimal solutions, insights, recommendations. Articles must clearly articulate the relevance of the work to decision and/or policy makers and the potential impact on patients and/or society. Papers will include articulated contributions within the methodological domain, which may include modeling, analytical, or computational methodologies. Emerging Topics Departmental Editor: Alec Morton, University of Strathclyde Emerging Topics will handle papers which use innovative quantitative methods to shed light on frontier issues in healthcare management and policy. Such papers may deal with analytic challenges arising from novel health technologies or new organizational forms. Papers falling under this department may also deal with the analysis of new forms of data which are increasingly captured as health systems become more and more digitized.

Innovative Infrastructure Solutions is a leading international peer-reviewed journal publishing original research, clinical updates, and reviews indexed in Clarivate Web of Science (SCIE) with Q2 quartile ranking.

The International Journal on Interactive Design and Manufacturing (IJIDeM) covers interdisciplinary research, technical issues and/or original industrial implementations related to the development, handling and designing of high-realistic multi-sensorial virtual prototypes for improving decision-making in product design and manufacturing. The scope of IJIDeM includes a variety of techniques such as: describing industrial problems to identify significant knowledge and variables, advanced modelling of design and manufacturing problems, virtually exploring solution spaces, building of high-realistic multi-sensorial simulators, implementing user centred innovative methods. IJIDeM will cover cutting-edge research in the fields of Mechatronics, Design and Manufacturing sciences, Numerical and Mechanical engineering, Virtual Reality aimed at industrial innovation.

The objective of this journal is to publish original, fully peer-reviewed articles on a variety of topics and research methods in both science and mathematics education. The journal welcomes articles that address common issues in mathematics and science education and cross-curricular dimensions more widely. Specific attention will be paid to manuscripts written by authors whose native language is not English and the editors have made arrangements for support in re-writing where appropriate. Contemporary educators highlight the importance of viewing knowledge as context-oriented and not limited to one domain. This concurs with current curriculum reforms worldwide for interdisciplinary and integrated curricula. Modern educational practice also focuses on the use of new technology in assisting instruction which may be easily implemented into such an integrated curriculum. The journal welcomes studies that explore science and mathematics education from different cultural perspectives.

The Journal of Geographical Systems (JGS) is an interdisciplinary peer-reviewed academic journal that aims to encourage and promote high-quality scholarship on new theoretical or empirical results, models and methods in the social sciences. It solicits original papers with a spatial dimension that can be of interest to social scientists. Coverage includes regional science, economic geography, spatial economics, regional and urban economics, GIScience and GeoComputation, big data and machine learning. Spatial analysis, spatial econometrics and statistics are strongly represented. One of the distinctive features of the journal is its concern for the interface between modeling, statistical techniques and spatial issues in a wide spectrum of related fields. An important goal of the journal is to encourage a spatial perspective in the social sciences that emphasizes geographical space as a relevant dimension to our understanding of socio-economic phenomena. Contributions should be of high-quality, be technically well-crafted, make a substantial contribution to the subject and contain a spatial dimension. The journal also aims to publish, review and survey articles that make recent theoretical and methodological developments more readily accessible to the audience of the journal. All papers of this journal have undergone rigorous double-blind peer-review, based on initial editor screening and with at least two peer reviewers. Officially cited as J Geogr Syst

Learning Environments Research publishes original academic papers dealing with the study of learning environments, including theoretical reflections, reports of quantitative and qualitative research, critical and integrative literature reviews and meta-analyses, discussion of methodological issues, reports of the development and validation of assessment instruments, and reviews of books and evaluation instruments.  The scope of the journal deliberately is very broad in terms of both substance and methods. `Learning environment' refers to the social, physical, psychological and pedagogical contexts in which learning occurs and which affect student achievement and attitudes. The aim of the journal is to increase our understanding of pre-primary, primary, high school, college and university, and lifelong learning environments irrespective of subject area. Apart from classroom-level and school-level environments, special attention is given to the many out-of-school learning environments such as the home, science centres, and television, etc. The influence of the rapidly developing field of Information Technology with its whole new range of learning environments is an important aspect of the scope of the journal. A wide range of qualitative and quantitative methods for studying learning enviromnents, and the combination of qualitative and quantitative methods, are strongly encouraged. The journal has an affiliation with the American Educational Research Association's Special Interest Group on the Study of Learning Environments. However, having Regional Editors and an Editorial Board from around the world ensures that LER is a truly international journal.

Multiscale and Multidisciplinary Modeling Experiments and Design is a leading international peer-reviewed journal publishing original research, clinical updates, and reviews indexed in Clarivate Web of Science (SCIE) with Q2 quartile ranking.

This Journal publishes original peer-reviewed scholarly research spanning engineering and physical science disciplines as applied to multiscale, multidisciplinary and multi-science problems. It focuses on multiscale, multidisciplinary and multi-science approaches for modeling, analyzing or designing different materials, such as polymers, metals, ceramics, biomaterials, composites and advanced material structures, as well as sophisticated engineering and physical systems. It covers analytical, numerical and/or experimental papers reporting on multidisciplinary or multi-science approaches or providing solutions by bridging different spatial and/or temporal scales. Appropriate papers may present solution techniques to solve multiscale, multidisciplinary and multi-science problems involving engineering, applied sciences, and physical sciences, or multiscale, multidisciplinary and multi-science approaches for designing new materials and systems.Multiscale and Multidisciplinary Modeling, Experiments and Design is aimed at researchers and practitioners dealing with multiscale, multidisciplinary and multi-science problems in aerospace engineering, bioengineering, civil engineering, electrical engineering, or mechanical engineering. Further disciplines include applied mathematics, applied physics, biomechanics and computer sciences.The Journal is particularly interested in: · Studies of multiscale interface behaviors of materials and hierarchical engineering/physical systems· Solution techniques to bridge different spatial or temporal scales in materials and hierarchical engineering/physical systems· Analysis of multidisciplinary or multi-science problems· Solution techniques to couple multidisciplinary and multi-science problems· Studies of complex multiscale hierarchies· Development of transdisciplinary theories· Design and optimization of new materials or engineering systems through multiscale hierarchies· Design and synthesis of new materials for multidisciplinary and multi-science applications· Studies on combined multiscale and multiphysics problems or approaches· Studies of the performance and failure of materials and hierarchical engineering/physical systems using multiscale approaches