Prediction of Flow Duration Curve for Seasonal Rivers in Iraq

This paper presents a new method to estimate the flow duration curves [FDCs] for ungauged river basins whose natural and meterological characteristics are known. This study highlights the modeling of the lower three-quarters of the section of the flow duration curves [FDCs]. Eight sub-catchments were used to develop and evaluate the proposed flow duration model in the north of Iraq. The logarithmic type function has been found appropriate for the lower three-quarters of the section of [FDCs] for all river sub-catchments located in the study area. Parameter values of the logarithmic function model were calculated using topographic, hydrological and climatic characteristics of the basins under study by two regional regression models: first CA-MAP (catchment area-mean annual precipitation) model and second MAF-PE (mean annual flowpotential evapotranspiration) model. Generally, it is found that both models used were predicting a good estimate at the end of the flow duration curve (low-flows). In most cases, the statistics and graphical results showed that the agreement between observed and estimated FDCs is very good by using MAF-PE model as compared to CA-MAP model

Kristal Hemoglobin pada Darah dan Bercak Darah yang Terpapar Beberapa Shampo Cuci Sepeda Motor Menggunakan Tes Teichmann dan Tes Takayama

Bloodstain is one of important evidence in a forensic laboratoryexamination, especially in cases o violence or crime. Attempted in removingevidence of bloodstain with cleaning agents such as motorcycle wash shampoo isa challenge in the investigation. The purpose of this study is to observe crystalhemoglobin in blood and bloodstains exposed with motorcycle wash shampoousing Teichmann and Takayama test. This study is experimental research. Theblood slides and bloodstains slides were washed using 2 kind of motorcycle washshampoo as many as one to three times. In the study, 28 (100%) slides havepositive result whether with Teichmann or Takayama test. It can be concludedthat hemoglobin crystal are still can be found in blood and bloodstain expand willsome motorcycle wash shampoo using Teichmann and Takayama test

The prevalence of cardiac autonomic neuropathy in pure type II diabetic patients

Cardiac autonomic neuropathy (CAN) has a negative effect on survival and quality of life in people with diabetes mellitus (DM) and is regarded as a subtype of the diabetic autonomic neuropathy. This type of neuropathy is the most prominent focusing because of its life threatening and the availability of the cardiovascular tests that can diagnose it. This study aims to determine the prevalence of CAN in patients with type 2 diabetes mellitus. This cross sectional study included 103 (56 males and 47 females) pure diabetic patients without hypertension or pre-diagnosis of ischemia. They had attended to the diabetic center in Marjan Medical City in Hilla from March 2013 to February 2014. The patients had undergone thorough assessments that included clinical (history and full examination). The study found that  most of the diabetic patients presented with CAN (72.8%). Patients with CAN were older when compared to patients without CAN (p?0.01) and  had longer duration of DM (p?0.01). The most abnormal sympathetic response was diastolic blood pressure response to hand grip while the most abnormal parasympathetic response was heart rate response to breathing. On contrary, the lowest abnormal response was found in postural blood pressure test. In conclusion, This study concludes that CAN is a common complication of type 2 diabetes that affected a large percentage of diabetic patients. The duration of the diabetes and the age of patients are important non modifiable risk factors for the development of CAN. Additionally, heart rate variability is considered as an important test for early detection of CAN. Key words: Diabetes mellitus, Cardiac autonomic neuropathy, Cardiac autonomic reflex test

Pengaruh Pengencer Tris Aminomethane Kuning Telur Yang Disuplementasi Sari Kulit Manggis (Garcinia Mangostana) Terhadap Kualitas Semen Sapi Limousin Selama Penyimpanan Suhu Dingin 50C

The purpose of this research was to determine the dose of mangosteen rinds juice (0%, 2%, and 4%) in a diluent Tris Aminomethane-egg yolk. The fresh semen was collected once a week using an artificial vagina from five Limousin bulls aged 8 to 11 years old with a body weight of 895-1034 kg. The research method was experimental laboratory using a randomized block design with 3 treatments and 10 replications. If there were significant influences among the variables, it would be then tested by Duncan's Multiple Range test method. The result showed that Tris Aminomethane-egg yolk diluent with 4% of mangosteen rinds juice suplementation had significant differences (P<0.05) on the sperm quality kept for 72 hours in the cold storage in terms of the percentage of sperm motility and sperm viability. It also had a significant difference (P<0.05) on sperm abnormality particularly within the 1st hour. It can be concluded that the addition of 4% mangosteen rinds juice in Tris Aminomethane-egg yolk diluent could protect Limousin bull semen quality (motility, viability and abnormality) after stored for 72 hours at 50C

Kajian Kualitas Air Sumur Gali untuk Wilayah Pedalangan yang Mempunyai Ipal Komunal

Tingginya tingkat pencemar E.Coli di sumur gali Kelurahan Pedalangan RT 03 RW 04 yang peneliti simbolkan dengan lokasi B mencapai 250 Jumlah per 100 ml sampel sebelum dibangunnya IPAL komunal. Seharusnya sumur gali masyarakat sesuai dengan permenkes no. 492 tahun 2010 ialah mensyaratkan tidak adanya E.Coli di dalam sumber air. IPAL komunal di lokasi B sudah dibangun sejak 2013. Untuk itulah didalam penelitian ini akan dibahas mengenai pengaruh IPAL komunal terhadap jumlah E.Coli yang ada di sumur gali dengan dibandingkan dengan Perumahan yang masih menggunakan septic tank sebagai sistem pengolahannya. Beberapa indikator sumber pencemar sumur gali yang digunakan sebagai analisis ialah jarak septic tank atau IPAL komunal yang dekat dengan sumur gali, keberadaan drainase yang dekat dengan sumur gali, dan keberadaan unggas yang dekat dengan sumur gali. Keberaadaan sumber pencemar yang tidak sesuai dengan SNI yang ditetapkan, akan berpotensi menyebabkan pencemaran. Salah satu pencemar sumur gali, ditemukannya bakteri Escherichia coli pada sumur gali dalam jumlah banyak akan menyebabkan potensi penyakit, Salah satunya diare. Hasil dari penelitian ini didapatkan kesimpulan, parameter TSS, BOD, COD, dan E, Coli pada sumur gali dengan jarak 7-9 meter terhadap septic tank mempunyai nilai konsentrasi yang melebihi baku mutu dengan prosentase 70% titik sampling. Sedangkan sumur gali dengan jarak 10-20 meter terhadap septic tank mempunyai nilai konsentrasi melebihi baku mutu dengan prosentase 57,14% titik sampling. Untuk lokasi B, jarak IPAL komunal terhadap sumur gali berkisar dari 24-68 meter mempunyai prosentase lebih kecil dari lokasi A dan lokasi C sebesar 26,56% titik sampling

Signal Modulation Recognition System Based on Different Signal Noise Rate Using Artificial Intelligent Approach

Everyone has paid much attention to modulation-type recognition in the past few years. There are many ways to find the modulation type, but only a few good ways to deal with signals with a lot of noise. This study comes up with a way to test how well different machine learning algorithms can handle noise when detecting digital and analogue modulations. This study looks at the four most common digital and analogue modulations: Phase Shift Keying, Quadrature Phase Shift Keying, Amplitude Modulation, and Morse Code. A signal noise rate from -10dB to +25dB is used to find these modulations. We used machine learning algorithms to determine the modulation type like Decision Tree, Random Forest, Support Vectors Machine, and k-nearest neighbours. After the IQ samples had been converted to the amplitude of samples and radio frequency format, the accuracy of each method looked good. Still, in the format of the sample phase, each algorithm's accuracy was less. The results show that the proposed method works to find the signals that have noises. When there is less noise, the random forest algorithm gives better results than SVM, but SVM gives better results when there is more noise