Pain in a baby is difficult to detect is because the method for detecting pain is self-reporting even though babies themselves still cannot describe the pain verbally, then by observing changes in behavior in the form of facial expressions. Statistically, it is also recorded that about 80% of the world's population pays less attention to pain assessment, especially for children, even though this pain gives children a bad experience so that it can interfere with pain responses in the future or psychological trauma. Based on these problems, a prototype system was made using the NVIDIA Jetson Nano Developer kit to help detect pain, especially in infants 0-12 months by using the Convolutional Neural Network (CNN) model with the PyTorch framework and the You Only Look Once (YOLO) algorithm with three detection classification is sad, neutral and sick. From the results of the study, it was found that the YOLO algorithm was able to detect the three classifications with a sad mAP value of 77.8%, neutral 76.7%, in pain 68.9%. With a precision value of 71.4%, recall 62.5% and f1-score 66.6%. The average value of Confidence is 53.57%.
Stock prediction and risk level are important for investors, but this ability can only be done by experts and takes a long time. The rapid development of technology today demands that decisions be made quickly and precisely. Deep Learning (DL) is one of the Artificial Intelligence (AI) methods that are able to analyze and predict stock values accurately, in real-time, and without much human intervention. Analysis of risk and correlation between stocks by calculating daily returns using the moving average (MA) method. Dataset of 6 bank shares obtained from yahoo-finance, namely Bank Central Asia (BBCA), Bank Rakyat Indonesia (BBRI), Bank Mandiri (BMRI), Bank Nasional Indonesia (BBNI), Bank Rakyat Indonesia Syariah (BRIS), and Bank Tabungan Negara (BBTN). The volume of share sales increased significantly only in BBRI and BBNI shares, although 5 bank shares (except BRIS) experienced price increases. The highest correlation occurred between BBNI and BMRI shares with a value of 97%, 92% between BMRI and BBCA shares, and 91% between BBNI and BBCA. Analysis of risk and expected return shows that BRIS has the highest risk and expected return of 0.042245 and 0.002986, respectively. BBCA shares have the lowest risk and expected return at 0.015392 and 0.000695, respectively. The results show that future predictions have decreased, namely BBRI, BBNI, and BBTN, and rose for BBCA, BMRI, and BRIS stocks.
This study compared the scale of infant pain during vaccinated injection using conductance skin electric (Skin Conductance), the Wong-Baker Faces Scale (WBFS) instrument, and Face Leg Activity Cry and Consolability (FLACC) instruments. It was observational cohort study with pre-experimental design using vaccinated injection as pain stimuli. This study investigated 121 infants (59 boys, 62 girls), age/PNA 4.37 ± 2.97 months, and current body weight 6522 ± 1378.65 grams). Most infants had adequate birth weight 71 (89.9%) about 2985.74 ± 405.83 kg and mature infants as 67 (84.4%), about 38,52 ± 2,09 weeks. Pain measurement of all three instruments was do simultaneously using a developed Skin Conductance (SC) apparatus and video recording (to assess behaviour and face). WBFS, FLACC and SC have the same significance in measuring infants’ pain scale during vaccination injection. Statistical analysis showed a significant difference in the three pain measurement instruments between before and during injection with a p value of <0.001. So that SC can be recommended for pain measurement.
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