Gynecologic Oncology Reports is an online-only, open access journal devoted to the rapid publication of narrative review articles, survey articles, case reports, case series, letters to the editor regarding previously published manuscripts and other short communications in the field of gynecologic oncology. The journal will consider papers that concern tumors of the female reproductive tract, with originality, quality, and clarity the chief criteria of acceptance.
All manuscripts will be peer reviewed according to the Journal's policy set out below and, if accepted for publication in the Journal, Authors will be notified of this decision and at the same time requested to pay an Article Processing Fee. Following payment of the Article Processing Fee, papers will be made open access. Letters to the editor which comment upon work previously published in either Gynecologic Oncology or Gynecologic Oncology Reports will be published free of charge.
This title is fully open access and therefore funded not through library subscription payments but through author fees. If you would like your article to be published open access, but you genuinely cannot afford these fees, then individual waiver requests are considered on a case-by-case basis and may be granted in cases of genuine need. Priority for this waiver programme will be given to applications by authors from countries eligible for the Research4Life programme (see http://www.research4life.org/institutions.html).
Spatial Statistics publishes articles on the theory and application of spatial and spatio-temporal statistics. It favours manuscripts that present theory generated by new applications, or in which new theory is applied to an important practical case. A purely theoretical study will only rarely be accepted. Pure case studies without methodological development are not acceptable for publication.Spatial statistics concerns the quantitative analysis of spatial and spatio-temporal data, including their statistical dependencies, accuracy and uncertainties. Methodology for spatial statistics is typically found in probability theory, stochastic modelling and mathematical statistics as well as in information science. Spatial statistics is used in mapping, assessing spatial data quality, sampling design optimisation, modelling of dependence structures, and drawing of valid inference from a limited set of spatio-temporal data. Application fields includeThe physical domains, e.g. agriculture, geology, soil science, hydrology, ecology, mining, oceanography, forestry, air quality, remote sensingThe social/economic domains, e.g. spatial econometrics, epidemiology and disease mapping.Spatial Statistics aims to publish reproducible science. Authors are encouraged to submit and publish procedures and data, along with the manuscript.
Experiment, an annual journal devoted to Russian culture, focuses on the movements of the early twentieth century. These include both traditional and non-traditional avenues of academic enquiry, such as studio painting and graffiti, sculpture and ballroom dancing, architecture and commercial advertising. It is hoped that broader examination of such disciplines within critical discourse will provide a stronger and more precise definition of Russia's cultural accomplishment. Supervised by an editorial board of international stature, Experiment emphasizes an interdisciplinary approach, drawing upon archival sources while promoting and documenting the history of the Russian arts. The journal recognizes the achievements both of Imperial and Soviet Russia and of the diaspora.
OPEM is an international and peer-reviewed journal and publishes a variety of articles including original researches, reviews, short communications, and case-reports. OPEM aims to bridging the gap between Traditional knowledge and medical advances. The journal focuses on publishing valid, relevant, and rigorous experimental research and clinical applications of Traditidnal Medicine as well as medical classics. At the same time, the journal is devoted to communication among basic researcher and medical clinician interested in the advancement of Traditional Medicine. Topics covered by the journal are: Medical Classics & History: Biomedical Research: Pharmacology & Toxicology of Natural Products: Acupuncture & Moxibustion: Sasang Constitutional Medicine: Diagnostics and Instrumental Development: Clinical Research. Oriental Pharmacy and Experimental Medicine (OPEM) is published four times yearly.