Dergiler / Natural and Engineering Sciences

Natural and Engineering Sciences (NESciences) is a multidisciplinary peer-reviewed electronic journal (e-ISSN:2458-8989) that provides publication of research articles in topical areas of Natural and Engineering Sciences. The goal of this journal is to provide a platform for researchers, students, professionals and academicians all over the world to combine, promote, share, and discuss new ideas, issues, developments and its application in different areas of Natural and Engineering Sciences. NESciences welcomes the submission of manuscripts that meet the general criteria of significance and scientific excellence, and will publish: Original research articles, case studies, reviews and essays on the above topics. NESciences is fully committed to the Open Access Initiative and provides free access to all articles as soon as they are published. Papers should be written in English Language, attached in a Microsoft word document, and should have proper terminologies. Our objective is to inform authors of the decision on their manuscript (s) within four-eight weeks of submission, depending on reviewer avaibility. Following acceptance, a paper will normally be published in the next issue. The advantages to you of publishing in Natural and Engineering Sciences; Full open access: everyone can read your article when it is published Fair peer review from two or more expert peer reviewers Frequent updates on your paper’s status Friendly responsive staff Warm regards, Editorial Board

2021 · Cilt: 6 - Sayı: 1

MakaleYazarSayfa
Ecological study of two sea cucumbers (Holothuria parva and Holothuria arenicola) in the Hormozgan and Bushehr provinces of Persian GulfMohammad Monjezi VEYSİ, Mohammad Ali SALARİ-ALİABADİ1–18
Azo dye decolorization by using four different psychrotolerant Bacillus speciesMuhsin AYDIN, Alişan AĞAOĞLU, Özlem BARIŞ19–29
The effects of EDTA on zinc accumulation in tissues of Cyprinus carpio (Linnaeus 1758)Fahri KARAYAKAR, Fikret SEÇEN, Bedii CİCİK30–38
Tetrodotoxin binding protein in the marine puffer fishBahar TOKUR, Koray KORKMAZ39–52
Length-weight and length-length relationships of three endemic freshwater fish species from Anatolia, TurkeyGülşah SAÇ, Müfit ÖZULUĞ53–59
Detection of coronavirus disease (COVID-19) from X-ray images using deep convolutional neural networksYakup KUTLU, Yunus CAMGÖZLÜ60–74