Program Bimbingan Belajar Berdasarkan Profil Academic Self-Efficacy Santri (Studi Deskriptif di SMP IT Baitul Anshor Boarding School dan Pondok Pesantren Baitul Izzah Cimahi Tahun Ajaran 2018/2019)

Health, nutrition and hydration status of Indonesian workers: a preliminary study in two different environmental settings

Metode: Studi potong lintang komparatif dipilih dengan melibatkan dua kelompok pekerja pabrik, masing-masing terdiri dari 39 orang laki-laki sehat berusia 25-45 tahun dari dua lingkungan kerja yang berbeda, yaitu yang terpapar langsung dengan suhu tinggi dan yang bekerja di ruangan bersuhu sejuk. Data yang diperoleh meliputi data hasil pemeriksaan fisik, berat, tinggi badan, lingkar pinggang da...

Effects of Vitamin A and Iron Fortifïed Supplementary Food on Vitamin and Iron Status of Rural Preschool Children in Vietnam

Seperti banyak negara yang. sedang berkernbang, Vietnam menghadapi berbagai masalah kesehatan yang berkaitan dengan gizi pada berbagai kelompok umur dan penduduk. Diantara masalah-masalah tersebut, kckurangan yitamin A, anemia defisiensi besi dan 8an88uan Pertumbuhan pada anak-anakprasekolahpadawaktu ini mendapat perhatian khusus. Prevalensi kekurangan vitamin A pada tahun 1985-1988 sebesar 0,0...

Università degli Studi di Siena

Self-Efficacy, Intrinsic Motivation, and Academic Outcomes Among Latino Middle School Students Participating in an After-School Program

This longitudinal study examined how academic self-efficacy, intrinsic motivation, and participation in an after-school program contributed to the academic achievement of Latino middle school students over the course of one school year. Participants were 47 Latino students in sixth through eighth grades who attended two public middle schools in which an after-school program was held that was sp...

Università Degli Studi Di Perugia

A Support Vector Machine (SVM ) is a powerful classifier method, already used in many problems, which can be viewed as a learning problem bringing to a convex optimization. In recent years, a considerable attention has been given on semisupervised learning, differing from traditional supervised learning by making use of unlabeled data. In fact, in many applications, labeling examples may cost l...