A cross-sectional study of essential surgical, obstetric, and anaesthesia care capacity in the public sector in Fiji. by Ashneel Sundar, Jope Makutu, Ifereimi Waqainabete, Grace Zhang, Jemesa Tudravu, Josese Turagava, Kiki Maoate, Rajeev Patel, Rennie Xinrui Qin

“…The Lancet Commission on Global Surgery indicator collection highlighted gaps in surgical, obstetric, and anaesthesia (SOA) care in Fiji. Our study is the first comprehensive assessment of essential SOA care capacity in Fiji to guide national surgical planning. …”
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IMPACT OF EXTERNAL DEBT ON FINANCIAL DEVELOPMENT: AN EMPIRICAL ANALYSIS OF SELECTED EAST ASIAN AND PACIFIC COUNTRIES by Hoang Minh Nguyen

“…These countries include Cambodia, China, Fiji, Indonesia, Lao PDR, Mongolia, Myanmar, Papua New Guinea, the Philippines, Samoa, the Solomon Islands, Thailand, Tonga, Vanuatu, and Vietnam. …”
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BCL6 (B-cell lymphoma 6) expression in adenomyosis, leiomyomas and normal myometrium. by Loreta Canivilo Salas, Bruna Mielczarski, Raquel Camara Rivero, João Sabino Lahogue da Cunha Filho, Ricardo Francalacci Savaris

“…Immunohistochemistry was conducted using an automated system, and BCL6 expression was quantified using Fiji-ImageJ software. A supervised deep learning neural network was employed to classify samples based on DAB staining. …”
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FIRM image analysis: A machine learning workflow for quantifying extracellular matrix components from electron microscopy images. by Nicholas T Gigliotti, Justin Lee, Emily H Mang, Giancarlo R Zambrano, Mitra L Taheri

“…Presented here is a new machine learning-based workflow for the analysis of microscopy images named FIRM (Feature Identification from Raw Microscopy) that uses a random forest classifier to identify ECM features of interest and generate binary segmentation masks for quantification with ImageJ-FIJI. FIRM performed with an F1 score of 0.794 and greater than 80% accuracy for number and size of features detected. …”
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Revealing Halal Certification Oversight Gaps for MSEs through ArcGIS Dashboard Integration by Imam Arifa’illah Syaiful Huda, Maratun Saadah, Agus Sugiarto, Mohd Hairy Bin Ibrahim, Ravinesh Rohit Prasad, Alfyananda Kurnia Putra, Ahyat Budianto

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