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Research ArticleOpen accessIn the abstractEstablishment and Application of Rapid Quantitative Detection Technology for Bacillus cereusFeilong Sun, Hanyu Li, Jingxue Qian et al.Infections caused by Bacillus cereus often occur, causing a certain degree of health hazards and economic losses to people around the world. Rapid quantitative detection is of great significance for prevention. This study aims to develop a simple and rapid quantitative detection method for B. cereus, which can be used to monitor the contamination of B. cereus in food samples. … …American Journal of Biochemistry and Biotechnology, Vol. 19, Issue 1 · 21 Mar 2023 · 5,564 accessesView PDFCite
Research ArticleOpen accessIn the abstractSocial Isolation and Suicidal Ideation Among University Students in Enugu State, Nigeria: A Qualitative PerspectiveCollins Chukwunonso EzeaUniversity students face growing mental health challenges, yet social isolation as a contributor to suicidal ideation remains understudied in Nigeria, particularly from the perspectives of students themselves. Understanding how isolation influences suicidal thinking is essential for designing context-sensitive interventions within Nigerian higher education environments. Despite a global rise in suicide among young adults, existing literature remains largely Western-centric, offering limited … …Journal of Social Sciences, Vol. 21, Issue 1 · 23 Dec 2025 · 3,430 accessesView PDFCite
Research ArticleOpen accessIn the abstractBioactivity of Sumac (Rhus Coriaria) Extract as a Green Alternative for Plant Pathogen InhibitionMohammed H. Al-Mamoori, Meisam Zargar, Elena N. Pakina, Fatih DadaşoğluEnvironmental stress caused by pathogenic fungi leads to considerable losses in global crop productivity. Plant-derived extracts are eco-friendly and sustainable alternatives that can inhibit biotic stresses. Sumac (Rhus coriaria) is widely used in industrial and medicinal applications due to its extract rich in secondary metabolites, similar to those found in chemical pesticides and pharmaceuticals. This study aimed to characterize the … …OnLine Journal of Biological Sciences, Vol. 25, Issue 3 · 25 Nov 2025 · 2,209 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Classified Protection Protocol for RFID-based Medical SystemsXueping Ren, Ming JiangRFID technology has been used in many medical systems. The data transmitted in these medical systems is very important and sensitive. The security of these private data has a wide range of risks. Most existing protocols lack the idea of classified security protection for RFID-based medical systems. These protocols are difficult to apply directly. To address this problem, a reliable … …American Journal of Biochemistry and Biotechnology, Vol. 16, Issue 3 · 5 Aug 2020 · 6,365 accessesView PDFCite
Review ArticleOpen accessIn the abstractOptimization of Red Sorghum (Sorghum bicolor (L.) Moench) Malt Mashing Using Response Surface MethodologyArthur Kapepa Amisi et al.The Response Surface Methodology (RSM) was used to optimize the Released Glucose Equivalent during red sorghum malt mashing. Three parameters were tested: the β-amylase (EC 3.2.1.2) temperature level (min value = 62°C and max value = 63°C, TB), the α-amylase (EC 3.2.1.1) temperature level (min value = 72.5 and max value = 77.5°C, TA) and the duration of each stage … …American Journal of Applied Sciences, Vol. 21, Issue 1 · 28 Nov 2024 · 8,092 accessesView PDFCite
Research ArticleOpen accessIn the abstractAugmentation of Temperatures, Media and Cryoprotectants on in vitro Fertilization of Pig OocytesTumelo Thelma Maduwa, Masindi Lottus Mphaphathi et al.There are numerous challenges to the large-scale production of pig embryos using in vitro procedures. The aim of the present study was to compare the different holding temperatures, in vitro maturation media, and permeating cryoprotectants in the in vitro fertilization of pig oocytes. Ovaries were obtained from the local slaughterhouse, oocytes were retrieved by means of aspiration and slicing techniques … …American Journal of Animal and Veterinary Sciences, Vol. 19, Issue 3 · 29 Aug 2024 · 4,650 accessesView PDFCite
Research ArticleOpen accessIn the abstractLung Cancer Detection Using Regularized Extreme Learning Machine and PCA FeaturesK. Kavitha, Dr. V. Saravana Kumar, V. Bhoopathy et al.When finding abnormalities in target images is time-sensitive, as it is with many cancer tumors, image processing techniques have recently found widespread use across various medical industries to improve images for early detection and treatment stages. In the setting of cancer, where time is of the essence in detecting anomalies within medical imaging, our research takes on further urgency. In … …Journal of Computer Science, Vol. 20, Issue 10 · 5 Aug 2024 · 5,302 accessesView PDFCite
Research ArticleOpen accessIn the abstractFailure Mode and Pullout Capacity of Anchor Piles in ClayYanbing Zhao, Haixiao Liu, Mengyuan LiuAnchor piles are wildly adopted in mooring systems. However, there are still challenges in predicting the failure mode and pullout capacity of the pile. Previous Finite Element (FE) analysis was all based on the traditional small strain FE analysis. The whole pullout process of the pile cannot be simulated. Hence, the failure mode of the pile is hard to be … …American Journal of Engineering and Applied Sciences, Vol. 10, Issue 3 · 27 Sep 2017 · 8,216 accessesView PDFCite
Review ArticleOpen accessIn the abstractA Survey of Methods for Managing the Classification and Solution of Data Imbalance ProblemKhan Md. Hasib, Md. Sadiq Iqbal, Faisal Muhammad Shah et al.The problem of class imbalance is extensive for focusing on numerous applications in the real world. In such a situation, nearly all of the examples are labeled as one class called majority class, while far fewer examples are labeled as the other class usually, the more important class is called minority. Over the last few years, several types of research … …Journal of Computer Science, Vol. 16, Issue 11 · 13 Nov 2020 · 10,120 accessesView PDFCite
EditorialOpen accessIn the abstractBig Data and Parkinson’s Disease - from Understanding of Disease to Personalised MedicineYen F. Tai, Nicola PaveseThe advancement of information technology in recent years has generated a huge amount of datasets in all areas of scientific research. This has led to new opportunities to harness the 'Big Data' to improve our understanding of diseases - from investigating disease mechanisms to monitoring treatment responses. The Big Data approach is a data-driven and often hypothesis-free, way of studying … …Neuroscience International, Vol. 7, Issue 1 · 27 Jul 2016 · 7,755 accessesView PDFCite