Paracervical block with 1% lidocaine for pain control during intrauterine device insertion: a prospective, single-blinded, controlled study

In this prospective controlled study we aimed to investigate efficacy of paracervical block with 1% Lidocaine for pain control and demographic variables which may affect pain perception during intrauterine device insertion in Turkish women. Data from 95 women assigned to paracervical block (n=34), placebo (n=30) and no treatment (n=31) arms and asked to grade the pain level they  felt during tenaculum placement, intrauterine device insertion and 5 minutes after the procedure using a visual pain scale. Demographic variables were also recorded. Pain scores were found to be lower in paracervical block group when compared to other 2 groups during tenaculum placement (p=0.00), intrauterine device insertion (p=0.00) and 5 minutes after the procedure (p=0.00). Level of pain was unrelated to mode of previous deliveries and current breastfeeding. Paracervical block is an easy, safe and effective way of pain control during intrauterine device insertion. Lack of vaginal birth history is not a reason to draw back from intrauterine device use

Renormalization Group Analysis of a Gursey Model Inspired Field Theory II

Recently a model, which is equivalent to the scalar form of Gursey model, is shown to be a nontrivial field theoretical model when it is gauged with a SU(N) field. In this paper we study another model that is equivalent to the vector form of the Gursey model. We get a trivial theory when it is coupled with a scalar field. This result changes drastically when it is coupled with an additional SU(N) field. We find a nontrivial field theoretical model under certain conditions.Comment: 10 pages, 10 figures, revtex4, typos corrected, published versio

Spatial Analysis of Urban Ecological-Based Playgrounds in the Cities of Ankara & Antalya Case Study

Bu araştırma, Türkiye'de kentleşme yapısında çocuklar için tasarlanan alanlarda bulunan ekolojik temelli oyun alanlarının özelliklerini incelemek ve bu alanlarda doğa ögelerinin ne boyutta yansıtıldığını belirlemek amacıyla yapılmıştır. Nitel araştırma deseni kullanılarak gerçekleştirilen araştırmanın amacı doğrultusunda, ekolojik temelli oyun alanları; çevre ögeleri, oyun araçları ve fiziksel özellikler başlıkları altında değerlendirmeye alınmıştır. Araştırmada, sadece sağlıklı gelişim gösteren çocuklar değil özel gereksinimi olan çocuklar için de gelişimi destekleyici ekolojik temelli oyun alanlarının olmadığı dikkati çekmektedir.This study was conducted to analyze the properties of ecological-based playgrounds in the areas designed for children in the city structure of Turkey. The aim of the study is determine to what extent is reflected of natural elements in these areas. The study is a qualitative research design, ecological-based playgrounds have been analyzed under the titles of environmental features, play equipments and physical characteristics. It was remarked that there were no ecological-based playgrounds supporting child development not only for healthy developing children but also for the cildren with special needs

Localization and Amount of Thyroid Remnant in Totally Thyroidectomized

Objective:To determine the frequency, localization and amount of thyroid remnant in extracapsular thyroidectomized patients.Methods:We postoperatively evaluated the thyroid bed of 38 totally thyroidectomized patients using thyroid scintigraphy, a thyroid uptake study and bilateral neck ultrasonography (US) to determine the extent of residual thyroid tissues.Results:In scintigraphic assessment, thyroid remnant was not seen in the thyroid bed in 13 cases, minimal thyroid remnant was detected in 15 cases, and visible uptake was seen in 10 cases. Ultrasonographic findings revealed the presence of remnant in 12 cases. However, US did not detect all remnant tissues diagnosed by TS.Conclusion:This study demonstrates that minimal thyroid remnant is left in the majority of cases, even after extracapsular total thyroidectomy, especially in the upper and middle zones

Unpublished Mediterranean and Black Sea records of marine alien, cryptogenic, and neonative species

To enrich spatio-temporal information on the distribution of alien, cryptogenic, and neonative species in the Mediterranean and the Black Sea, a collective effort by 173 marine scientists was made to provide unpublished records and make them open access to the scientific community. Through this effort, we collected and harmonized a dataset of 12,649 records. It includes 247 taxa, of which 217 are Animalia, 25 Plantae and 5 Chromista, from 23 countries surrounding the Mediterranean and the Black Sea. Chordata was the most abundant taxonomic group, followed by Arthropoda, Mollusca, and Annelida. In terms of species records, Siganus luridus, Siganus rivulatus, Saurida lessepsianus, Pterois miles, Upeneus moluccensis, Charybdis (Archias) longicollis, and Caulerpa cylindracea were the most numerous. The temporal distribution of the records ranges from 1973 to 2022, with 44% of the records in 2020–2021. Lethrinus borbonicus is reported for the first time in the Mediterranean Sea, while Pomatoschistus quagga, Caulerpa cylindracea, Grateloupia turuturu, and Misophria pallida are first records for the Black Sea; Kapraunia schneideri is recorded for the second time in the Mediterranean and for the first time in Israel; Prionospio depauperata and Pseudonereis anomala are reported for the first time from the Sea of Marmara. Many first country records are also included, namely: Amathia verticillata (Montenegro), Ampithoe valida (Italy), Antithamnion amphigeneum (Greece), Clavelina oblonga (Tunisia and Slovenia), Dendostrea cf. folium (Syria), Epinephelus fasciatus (Tunisia), Ganonema farinosum (Montenegro), Macrorhynchia philippina (Tunisia), Marenzelleria neglecta (Romania), Paratapes textilis (Tunisia), and Botrylloides diegensis (Tunisia)

The Amsterdam Declaration on Fungal Nomenclature

The Amsterdam Declaration on Fungal Nomenclature was agreed at an international symposium convened in Amsterdam on 19–20 April 2011 under the auspices of the International Commission on the Taxonomy of Fungi (ICTF). The purpose of the symposium was to address the issue of whether or how the current system of naming pleomorphic fungi should be maintained or changed now that molecular data are routinely available. The issue is urgent as mycologists currently follow different practices, and no consensus was achieved by a Special Committee appointed in 2005 by the International Botanical Congress to advise on the problem. The Declaration recognizes the need for an orderly transitition to a single-name nomenclatural system for all fungi, and to provide mechanisms to protect names that otherwise then become endangered. That is, meaning that priority should be given to the first described name, except where that is a younger name in general use when the first author to select a name of a pleomorphic monophyletic genus is to be followed, and suggests controversial cases are referred to a body, such as the ICTF, which will report to the Committee for Fungi. If appropriate, the ICTF could be mandated to promote the implementation of the Declaration. In addition, but not forming part of the Declaration, are reports of discussions held during the symposium on the governance of the nomenclature of fungi, and the naming of fungi known only from an environmental nucleic acid sequence in particular. Possible amendments to the Draft BioCode (2011) to allow for the needs of mycologists are suggested for further consideration, and a possible example of how a fungus only known from the environment might be described is presented

Unpublished Mediterranean records of marine alien and cryptogenic species

Good datasets of geo-referenced records of alien species are a prerequisite for assessing the spatio-temporal dynamics of biological invasions, their invasive potential, and the magnitude of their impacts. However, with the exception of first records on a country level or wider regions, observations of species presence tend to remain unpublished, buried in scattered repositories or in the personal databases of experts. Through an initiative to collect, harmonize and make such unpublished data for marine alien and cryptogenic species in the Mediterranean Sea available, a large dataset comprising 5376 records was created. It includes records of 239 alien or cryptogenic taxa (192 Animalia, 24 Plantae, 23 Chromista) from 19 countries surrounding the Mediterranean Sea. In terms of records, the most reported Phyla in descending order were Chordata, Mollusca, Chlorophyta, Arthropoda, and Rhodophyta. The most recorded species was Caulerpa cylindracea, followed by Siganus luridus, Magallana sp. (cf. gigas or angulata) and Pterois miles. The dataset includes records from 1972 to 2020, with the highest number of records observed in 2018. Among the records of the dataset, Dictyota acutiloba is a first record for the Mediterranean Sea. Nine first country records are also included: the alga Caulerpa taxifolia var. distichophylla, the cube boxfish Ostracion cubicus, and the cleaner shrimp Urocaridella pulchella from Israel; the sponge Paraleucilla magna from Libya and Slovenia; the lumpfish Cyclopterus lumpus from Cyprus; the bryozoan Celleporaria vermiformis and the polychaetes Prionospio depauperata and Notomastus aberans from Malta

Deep context of citations using machine‑learning models in scholarly full‑text articles

Information retrieval systems for scholarly literature rely heavily not only on text matching but on semantic- and context-based features. Readers nowadays are deeply interested in how important an article is, its purpose and how influential it is in follow-up research work. Numerous techniques to tap the power of machine learning and artificial intelligence have been developed to enhance retrieval of the most influential scientific literature. In this paper, we compare and improve on four existing state-of-the-art techniques designed to identify influential citations. We consider 450 citations from the Association for Computational Linguistics corpus, classified by experts as either important or unimportant, and further extract 64 features based on the methodology of four state-of-the-art techniques. We apply the Extra-Trees classifier to select 29 best features and apply the Random Forest and Support Vector Machine classifiers to all selected techniques. Using the Random Forest classifier, our supervised model improves on the state-of-the-art method by 11.25%, with 89% Precision-Recall area under the curve. Finally, we present our deep-learning model, the Long Short-Term Memory network, that uses all 64 features to distinguish important and unimportant citations with 92.57% accuracy