Sapporo Medical Journal

Abstract : An indicator of the quality of handling emergency patients is the speed of assisting (response time). Delay in handling emergency patients can be fatal. One of the causes of errors and delays in providing action to patients in the emergency department is the excessive workload that results in high activity so that the body experiences Fatigue. Physical Fatigue is indicated by decreased reflex motion quality. The decrease in motion reflex impacts the decrease in emergency handling services (response time). The research objective was to identify the effect of nurse fatigue on the response time for handling emergency patients in the Emergency Room during the Covid-19 pandemic. The research method was correlation design with a cross-sectional approach and obtained 21 nurses in the emergency department. The instrument used to measure Fatigue was the Fatigue Severity Scale. The response time for handling emergency patients was installed by an emergency department entirely (100%) according to the time category based on ATS 1,2,3,4,5, with a value median of 57 seconds, which is seen from the response time most of the respondents (52.4%) less than 57 seconds, while the Spearman Rank test analysis obtained p-value 0.600> α 0.05 with a value of r: 0.121, this shows that fatigue effects on the response time for emergency patients, with a very weak positive correlation, which indicates that the higher the degree of Fatigue, the more response time slows down.

Abstract : Background: Obesity is a pathological condition where there is an excessive or abnormal accumulation of body fat from what is needed for normal bodily functions. Being overweight is a normal weight. It has a high advantage compared to excess fat. Method: This study used a quasi-experimental pre-post test design with a control group design. The population in this study was first-grade elementary school children in Menteng Palangka Raya IV SDN. The sampling technique uses simple random sampling, with a sample of 32 respondents in the preparation group and 66 respondents in the control group. Data analysis uses a normality test and homogeneity test. Results: The results of the statistical test obtained no difference in the student body between the control group and complexity (p> 0.05), the difference in substance was 2.449 kg, the interval of 95% difference was 2.03 kg - 2.45 kg. Conclusion: The difference was 2,449 kg. However, statically, there was no significant difference in student body weight between the control and setting groups.

Abstract : Adolescence is a transitional period that is a vulnerable age. Suppose it is not getting correct reproductive health information and obtained from appropriate sources. In that case, the school environment, residence, and mass media can trigger adolescents' development in understanding reproductive health. Throughout 2011, the National Commission received 22 cases of complaints about pornography by junior and senior high school students. Meanwhile, according to Baby Foundation data, it was reported that 83,7% of elementary school children of IV and V grade were meticulously addicted to pornography (National Commission for Child Protection 2011). The purpose of this study is to determine the influence of Social Media based counseling: email on adolescent sexual behavior in the city of Bogor. The research design uses the Quashi Experiment approach. This research uses an experimental type of research because of a treatment (treatment) applied by researchers. The quasi-experimental design used in this study is the design after and before the control (pretest and posttest with a non-equivalent group). Results: The results showed that adolescent sexual behavior was better (towards the positive) in the group receiving counseling than the group that did not receive counseling (p-value = 0.033). As an input to develop social media-based social media counseling services such as email, WA, BBM, Line, SMS, etc., regarding sexual and supporting activities Guidance and Counseling.

Abstract : Neuropathic pain is caused by disorder of somatosensory nervous system. It affects mostly in women and older population. The causes of peripheral neuropathic pain are trigeminal neuralgia, diabetes peripheral neuropathy, postherpetic neuralgia and so on. The causes of central neuropathic pain are spinal cord injury, multiple sclerosis, brain tumors and so on. To date, managing neuropathic pain is still challenging to physicians. The available choice of drugs is limited to efficacy and adverse effects. In addition, neuropathic pain has poor response to current medications. Botulinum Toxin type A (BoTN-A), which is produced by Clostridium botulinum, is known as potential analgesia in neuropathic pain. This review aims to outline the efficacy of BoTN-A in some causes of both peripheral and central neuropathic pain. The conclusion of this review is BoTN-A is safe and effective in reducing pain intensity in neuropathic pain

Abstract : The purpose of this study is to demonstrate the best strategy for the variable selection, using the developed Ordered Logistic Regression (OLR) and Multilayer Perceptron Neural Network (MLP). At the first stage, all the selected variables will be a screen for their important relationship point of view through ordered logistics regression and bootstrap methodology. After considering for 1500 of the bootstrapping methods, it was found that smoking factor, total cholesterol factor, and triglycerides come to a significant relationship to the level of hypertension. By considering the level of significance of 0.25 for ordered logistic regression, these three variables are being selected and used for the input of the MLP model. The performance of MLP was evaluated through the Predicted Mean Square Error (PMSE) of the neural network for the (MSE-forecasts the Network). PMSE is used as a measurement of how far away from our predictions are from the real data. The smallest MSE from MLP, indicate the best combination of variables selection in the model. In this research paper, we also provide the R syntax for OLR and MLP better illustration.