Journal Guide

maternal, neonatal, perinatal, postpartum, preconception

Maternal and Child Health Journal offers an exclusive forum for advancing scientific and professional knowledge of the maternal and child health (MCH) field. Peer-reviewed papers address MCH practice, policy, and research, exploring such topics as MCH epidemiology, demography, and health status assessment; Innovative MCH service initiatives; Implementation of MCH programs; MCH policy analysis and advocacy and MCH professional development. Exploring the full spectrum of the field, Maternal and Child Health Journal is an important tool for practitioners as well as academics in public health, obstetrics, gynecology, prenatal medicine, pediatrics, and neonatology.Sponsors include the Association of Maternal and Child Health Programs (AMCHP), the Association of Teachers of Maternal and Child Health (ATMCH), and CityMatCH.

The Journal welcomes research on the periconceptional, perinatal and neonatal periods of pregnancy and on the development of the child to emerging adulthood and beyond, keeping in mind the concept of the developmental origins of adult health and disease.
Optimal health, development, and well-being from preconception to adulthood are central to the formation of human capital. The journal acts as a discussion forum on the dynamic interplay between genes, environments, and developmental time within the framework of adversity and resilience. Research grounded in multiple streams of investigation and looking at policies and interventions about health promotion and disease prevention for maternal and children’s health, is of particular interest.

Mathematica Slovaca publishes original articles from all mathematical areas, namely, algebra and number theory, analysis, graph theory, probability theory and mathematical statistics, topology, measure theory and integration, many-valued logic and quantum structures, differential equations and dynamic systems. It brings together a number of subjects, such as mathematics, physics, soft computing, cryptography, biology, economy, and measuring. The journal publishes original articles with complete proofs. Besides short notes, the journal also presents surveys as well as special issues focusing on a theme of current interest. Mathematica Slovaca, the oldest mathematical journal in Slovakia, was founded in 1951 at the Mathematical Institute of the Slovak Academy of Sciences, Bratislava. The quality of the journal is guaranteed by prominent Editorial and Advisory Board members from Canada, Europe, Russia, and the USA

This leading international journal publishes research and expository papers on the formulation, analysis and solution of mathematical models in the biosciences. The journal serves both mathematicians involved in solving model equations or in reaching conclusions that are testable in the real world, and biologists who are interested in forming mathematical models of biological processes and systems.Please bookmark this page as: http://www.elsevier.com/locate/mbsFor more information/suggestions/comments please contact AuthorSupport@elsevier.comBenefits to authorsWe also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Please click here for more information on our author services .Please see our Guide for Authors for information on article submission. If you require any further information or help, please visit our support pages: http://support.elsevier.com

Mathematical Communications is published by the Department of Mathematics, J.J. Strossmayer University of Osijek in cooperation with the Osijek Mathematical Society. The journal was initiated in 1996. It is published regularly - twice a year.

Mathematical Finance brings together work on the mathematical aspects of finance theory from such diverse fields as finance, economics, mathematics, and statistics. An essential resource for academic finance researchers and practitioners alike, the journal publishes clear and concise articles which present the latest theoretical developments. Modern finance is becoming increasingly technical, requiring the use of sophisticated mathematical tools in both research and practice. Mathematical Finance offers a forum for the publication of articles which employ these techniques, as well as providing a much-needed bridge between mathematical scientists and financial economists. Mathematical Finance has been ranked 3rd in the category of Social Sciences/Mathematical Methods, and 6th in the category of Business and Finance journals according to the latest ISI rankings.

Mathematical Foundations of Machine Learning (MFML) is a forum for the publication of highest-quality peer-reviewed papers on the broad mathematical foundations of machine learning.

• Encourages papers concerned with all pure and applied mathematical aspects of machine learning, with a particular focus on foundational work.
• Explicitly encourages papers of conceptual value residing in the synthesis of mathematical theories and their application to fundamental problems in machine learning theory and practice.
• All papers must be characterised by originality and mathematical rigour; survey papers are welcome as well and must exhibit originality in the synthesis of the material and their vantage point.
• For a paper to be accepted, it is not enough that it contain original results. In fact, results should be highly relevant to the mathematical foundations of machine learning with a wide readership in mind.