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Data science for Transportation

ISSN: 2948-135XeISSN: 2948-1368

Data Science for Transportation publishes high-quality original research and reviews in a wide range of topics related to Data Science for Transportation. This includes classical approaches when data sources are used to unravel underlying physical mechanisms leading to general laws and new modelling frameworks. It also includes new data-driven approaches when AI plays a central role.

The goal of the journal is to showcase the latest methodological advances and applications of data science methods in transportation and appropriate implications for policy making. The journal is also interested in the significant impact that these fields are beginning to have on other scientific disciplines as well as many aspects of society and industry. There are countless opportunities where big data intelligence can augment other methods in transportation systems planning, operations, freight, safety analysis, transit, safe and sustainable cities and emergency management. There are many emerging questions of relevance on ethical, social and privacy, that are also relevant in this domain. The focus is primarily on analytical data driven methods. High quality application based studies will also be considered.

Developmental Biology Advances

eISSN: 3091-3446

Developmental Biology Advancespublishes high-quality articles relevant to the whole field of animal and plant developmental biology. The vision of the journalis to embody the cross-sectional nature of this subject, by considering studies from a broad range of approaches: ecology, evo-devo, comparative and integrative biology, systems biology, and research with broader significance.    

Developmental Biology Advances aims to shed light on the complexity of development in all organisms by publishing the whole spectrum of exciting discoveries grounded in developmental biology concepts, from fundamental research to applied science. Advances in computational biology, genomics, and synthetic biology, as well as in imaging, technologies, and artificial intelligence continue to emphasize the relevance and central role of developmental biology in life sciences.    

In addition, the journal welcomes studies that advance our understanding of developmental biology, including human development, such as new model systems, gene regulation, neurobiology and neurodevelopment, sensory biology, pattern formation, stem cell biology and engineering, tissue regeneration, nuclear reprogramming, metabolism and development, epigenetics, morphogenesis and organogenesis, organoids, mechanobiology, and other emerging topics.

Diabetology International

ISSN: 2190-1678eISSN: 2190-1686

Diabetology International, the official journal of the Japan Diabetes Society, publishes original research articles about experimental research and clinical studies in diabetes and related areas. The journal also presents editorials, reviews, commentaries, reports of expert committees, and case reports on any aspect of diabetes. All manuscripts are peer-reviewed to assure that high-quality information in the field of diabetes is made available to readers. Diabetology International welcomes submissions from researchers, clinicians, and health professionals throughout the world who are interested in research, treatment, and care of patients with diabetes.

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Die Gastroenterologie

ISSN: 2731-7420

Die Kardiologie

ISSN: 2731-7129

Die Psychotherapie

ISSN: 2731-7161

Differential Equations

ISSN: 0012-2661eISSN: 1608-3083

Differential Equations, a translation of Differentsial'nye Uravneniya, is exclusively devoted to differential equations and the associated integral equations. The journal publishes the finest original scientific results of Russian mathematicians and scientists from other countries of the former USSR. Topics covered in the journal include: ordinary differential equations, partial differential equations, spectral theory of differential operators, integral and integral differential equations, difference equations, and their applications in control theory, mathematical modeling, shell theory, informatics and oscillation theory.

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Digital and Aligner Orthodontics

eISSN: 3091-4817

Discover Aging

eISSN: 3091-4469

Discover Aging is an open access journal publishing research from all fields relevant to aging science. Publication costs will be covered by Springer Nature until 31 December 2026. Authors whose articles are accepted for publication in Discover Aging up to and including that date will not pay an article-processing charge. Note that the APC-free period does not apply to any journal to which your article may be transferred if not accepted in Discover Aging. Current charge: £0/$0/€0 Standard charge: £1490.00/$1990.00/€1690.00. 

  • Considers articles from a broad range of aging science disciplines.
  • Topics include age-related diseases, neurodegenerative disorders, longevitypsychology and more.
  • A journal in Springer Nature’s Discover Series: Rigorous, representative and wide-reaching. 

Discover Agriculture

eISSN: 2731-9598
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Discover Analytics

eISSN: 2731-8117
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Discover Animals

eISSN: 3004-894X
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Discover Applied Sciences

eISSN: 3004-9261
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Discover Artificial Intelligence

eISSN: 2731-0809
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Discover Atmosphere

eISSN: 2948-1554
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Discover Bacteria

eISSN: 3004-9768
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Discover Biotechnology

eISSN: 3004-8907
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Discover Catalysis

eISSN: 3004-9520
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Discover Chemical Engineering

eISSN: 2730-7700
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Discover Computing

ISSN: 2948-2984eISSN: 2948-2992

Discover Computing (formerly Information Retrieval Journal) is a fully open access, peer-reviewed journal that supports multidisciplinary research and policy developments across all fields relevant to computer science. The journal aims to be a resource for researchers, policy makers and the general public for recent advances in computer science, and its uses in research development and society. As a fully open access journal, we ensure that our research is highly discoverable and instantly available globally to everyone. The journal particularly welcomes work that aims to address the United Nations Sustainable Development Goals, especially, Industry, Innovation and Infrastructure.

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