Depression is a mood disturbance condition that occurs for more than two weeks in a row, leading to suicide. Due to adverse effects of depression, antidepressants and adjunctive therapies, such as dietary supplementation, are used for treatment. Therefore, this review explored and summarized dietary supplements’ types, dosages, and effectiveness in preventing and treating depression. A literature search of the PubMed database was conducted in August 2021 to identify studies assessing depression, after which scale measurements based on dietary supplements were identified. From the obtained 221 studies, we selected 63 papers. Results showed PUFA (EPA and DHA combination), vitamin D, and probiotics as the most common supplementation used in clinical studies to reduce depressive symptoms. We also observed that although the total daily PUFA dosage that exhibited beneficial effects was in the range of 0.7–2 g EPA and 0.4–0.8 g DHA daily, with an administration period of three weeks to four months, positive vitamin D-based supplementation effects were observed after administering doses of 2000 IU/day or 50,000 IU/week between 8 weeks and 24 months. Alternatively, microbes from the genus Lactobacillus and Bifidobacterium in the probiotic group with a minimum dose of 10 8 CFU in various dose forms effectively treated depression. Besides, a depression scale was helpful to assess the effect of an intervention on depression. Hence, PUFA, vitamin D, and probiotics were proposed as adjunctive therapies for depression treatment based on the results from this study.
This research compares the accuracy of the C4.5 algorithm and Classification and Regression Tree (CART) for prospective employees selection in companies. This research using dataset with criteria like age, working experience, recent education, marital status, number of abilities possessed, and the result of admission selection test. Testing uses 200 prospective employee selection data manually from a company. Algorithm testing using K-Fold Cross Validation and the accuracy calculation of the algorithm using Confusion Matrix. C4.5 algorithm has a level of accuracy, the success rate of the system, and the level of accuracy of the decision results of 52,83%, 41,48% and 43,98%, and CART algorithm is 53,33%, 44,06%, and 42,81%.
Lingkungan rumah sakit yang kurang baik akan memungkinkan terjadinya penularan penyakit yang dapat berpengaruh terhadap kesehatan masyarakat dalam lingkungan rumah sakit tersebut. Oleh karena itu, pelayanan sanitasi rumah sakit perlu diselenggarakan dalam rangka menciptakan kondisi lingkungan rumah sakit yang nyaman dan bersih, sehingga dapat mendukung usaha penyembuhan penderita dan dapat mencegah terjadinya penularan infeksi nosokomial dilingkungan rumah sakit. Tujuan penelitian ini diketahuinya angka kuman pada tempat tidur rawat inap Rumah Sakit Madani Daerah Palu. Metode penelitian deskriptifdengan pendekatan observasi, populasi penelitian ini adalah semua tempat tidur di ruang perawatan Melon, Jambu, Rambutan, Nangka, Semangka, dan Markisa di Rumah Sakit Daerah Madani Kota Palu. Sampel penelitian ini adalah sebagian tempat tidur pada ruangan Melon 10, Jambu 10, Rambutan 10, Nangka 9, Semangka 7, dan Markisa 4, di ambil secara acak sederhana. Hasil penelitian yang telah dilakukan pada tempat tidur di ruang perawatan Melon, Jambu, Rambutan, Nangka, Semangka, dan Markisa, menunjukkan angka kuman tidak memenuhi syarat yaitu >10 koloni/cm. Sehingga dapat disimpulkan angka kuman pada tempat tidur ruang perawatan Rumah Sakit Daerah Madani Palu tidak memenuhi syarat.
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