Biomedical Journals | Jurnal Online Page 16

Penelitian ini bertujuan untuk merancang sistem cadangan daya pada inkubator bayi agar tetap berfungsi saat terjadi pemadaman listrik dari PLN. Sistem...

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The article, "Rancang Bangun Alat Catu Daya Pada Baby Incubator," presents a relevant and practical solution to a critical issue in healthcare: ensuri...

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Florence Meliawaty, Mistli Nur Robbani , Hartanto Endrowahyudi, Euis Reni Yuslianti

PROSPECTIVE USE OF REUNDEU LEAVES (Staurogyne elongata) ON INFLAMMATORY MACROPHAGES IN SKIN EXCISION WOUND

Biomedical

Healing of skin excision wounds involves complex stages, with inflammatory macrophages playing a key role in regulating the inflammatory response and...

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This literature review effectively addresses a critical aspect of wound healing by investigating the prospective role of *Staurogyne elongata* (Reunde...

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Iis Isnayati, Nurjannah Achmad, Salma Andintama

BLOOD GLUCOSE LEVELS ARE STRONGLY ASSOCIATED WITH VCAM-1 LEVELS IN PATIENTS WITH METABOLIC SYNDROME

Biomedical

Metabolic syndrome is a combination of metabolic risk factors that cause cardiovascular disease. These risk factors include high blood pressure, obesi...

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This study investigated the crucial relationship between components of metabolic syndrome and levels of VCAM-1, a marker of endothelial dysfunction, i...

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Rini Puspita Sari, Morita Sari, Ariyani Faizah, Cahyani

POTENTIAL ROLE OF L – ARGININE IN SESAME SEEDS FOR DENTAL CARIES PREVENTION

Biomedical

Dental caries is a chronic disease caused by damage to tooth enamel. The epidemiology of the prevalence of dental caries in Indonesia is 88.80%. Some...

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This literature review addresses a highly pertinent topic in preventive dentistry, investigating the potential role of L-arginine in mitigating dental...

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Wastuti Hidayati Suriyah, Ayako Aziza Solachuddin, Ar Razi Ryoshi Solachuddin

ZEBRAFISH AS AN EMERGING IN VIVO MODEL IN DENTOMAXILLOFACIAL RESEARCH

Biomedical

Animal models are vital in dental research for studying dentomaxillofacial anomalies, disease mechanisms, and therapeutic strategies. Conventional mod...

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This review article, "Zebrafish as an Emerging In Vivo Model in Dentomaxillofacial Research," addresses a critical need in dental research by explorin...

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Sang Gede Purnama

DETECTING TRANSOVARIAL INFECTION IN AEDES AEGYPTI BASED ON IMMUNOCYTOCHEMICAL STREPTAVIDIN BIOTIN PEROXIDASE COMPLEX ASSAY (ISBPC) IN BALI

Biomedical

Immunocytochemical method is one of dengue virus examination alternative with affordable cost. Through immunocytochemical methods it will be proven th...

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This study presents an investigation into the detection of dengue virus transovarial infection in *Aedes aegypti* mosquitoes in Bali using an immunocy...

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Rima Ayu Cahyani, Aji Purwinarko

Neural Network Optimization Using Hybrid Adaptive Mutation Particle Swarm Optimization and Levenberg-Marquardt in Cases of Cardiovascular Disease

Biomedical

Abstract. Cardiovascular disease is a condition generally characterized by the narrowing or blockage of blood vessels, which can lead...

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This paper presents a method for optimizing neural network performance in the critical area of cardiovascular disease (CVD) prediction, a leading glob...

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Deonisius Germandy Cahaya Putra, Anggyi Trisnawan Putra

Optimizing Random Forest for Predicting Thoracic Surgery Success in Lung Cancer Using Recursive Feature Elimination and GridSearchCV

Biomedical

Abstract. Lung cancer is one of the deadliest forms of cancer, claiming numerous lives annually. Thoracic surgery is a strategy to man...

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This paper addresses the critical and clinically relevant problem of predicting thoracic surgery success in lung cancer patients, a procedure fraught...

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Dela Rista Damayanti, Aji Purwinarko

Application of C4.5 Algorithm Using Synthetic Minority Oversampling Technique (SMOTE) and Particle Swarm Optimization (PSO) for Diabetes Prediction

Biomedical

Abstract. Diabetes is the fourth or fifth leading cause of death in most developed countries and an epidemic in many developing countr...

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This paper addresses the critical issue of early diabetes prediction, a significant global health concern, by proposing an innovative hybrid machine l...

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The paper presents a focused study on optimizing Convolutional Neural Network (CNN) performance for image classification of eye diseases, a highly rel...