Privacy-First Artificial Intelligence: Toward Fair, Transparent, and Accountable Systems Direesh Reddy Aunugu*, Venumadhav Goud Vathsavai Abstract As artificial intelligence (AI) systems increasingly influence decisions in healthcare, finance, education, and governance, concerns surrounding data privacy, algorithmic fairness, and ethical accountability are becoming critical. This study presents a privacy-first approach to AI
Category: Volume 3 Issue 6
Dietary Intake and Physical Activity in Relation to Obesity in 6-12 Years Old Children at SDN Banyu Urip III/364 Surabaya
Dietary Intake and Physical Activity in Relation to Obesity in 6-12 Years Old Children at SDN Banyu Urip III/364 Surabaya Valensia Arita Putri1*, Dwi Aprilawati2, Mira Irmawati3, and Nur Aisiyah Widjaja4 Abstract Introduction: Obesity is a multifactorial disorder characterized by excessive accumulation of fat in the body. Obesity can increase
Exercise Intensity and Its Relation to Sperm Count on Healthy Male Adults
Exercise Intensity and Its Relation to Sperm Count on Healthy Male Adults Samuel Davin1, Wardina Halim2, and Sundari Indah Wiyasihati3* Abstract Physical activity is well known for maintaining fitness and health. Recent studies also found that low semen quality and quantity are associated with the risk of many diseases and
Relationship Between Obesity and Menstrual Cycle Disorders in Adolescent Girls at SMP Al-Izzah International Islamic Boarding School Batu in 2021
Relationship Between Obesity and Menstrual Cycle Disorders in Adolescent Girls at SMP Al-Izzah International Islamic Boarding School Batu in 2021 Safa Salsabila Hanum1*, Eighty Mardiyan Kurniawati2, Dwi Apriliawati3 and Pungky Mulawardhana2 Abstract Background: Results of the Riskesdas Nasional 2010 stated that as many as 13.7% of Indonesian women experienced menstrual
Performance Comparison Between Convolutional Neural Network-Based Artificial Intelligence SiCoSa with a Combination of 2 Radiology Specialists at Universitas Airlangga Hospital in Diagnosing COVID-19 on Chest X-Ray Images
Performance Comparison Between Convolutional Neural Network-Based Artificial Intelligence SiCoSa with a Combination of 2 Radiology Specialists at Universitas Airlangga Hospital in Diagnosing COVID-19 on Chest X-Ray Images Caesario Indra Ardana1, Anggraini Dwi Sensusiati2* and Niko Azhari Hidayat3 Abstract Introduction: COVID-19 can be detected in various ways, namely RT-PCR as the
Quality Assurance of Professional Studies and The Development of 21st C Skills Among Students in Cameroon Private Universities: The Case of Private Universities in Mfoundi Division
Quality Assurance of Professional Studies and The Development of 21st C Skills Among Students in Cameroon Private Universities: The Case of Private Universities in Mfoundi Division Paul Ebone Abstract This study explores the provision of professional studies, its quality assurance practices, and the undesired increasing lack of 21st century skills
