Modification of Learning Media to Improve Learning Keys Effectiveness on Lempar Lembing, Classroom Action Research in Class X Sman 2 Painan

This situation and condition has been going on for quite a while and the school until this moment has not been able to fulfill the means of the disc to sufficient limits or ideal conditions, for example by a ratio of 1: 2 (1 disc for 2 persons). This is understandable, because schools have a lot of needs and almost all have a high level of urgency to meet by the school. So demanding schools to provide discs in accordance with ideal conditions, is unrealistic and can further lead to unfavorable climate and climate in schools. &nbsp

Hubungan Tingkat Stres dengan Kualitas Tidur pada Pasien Gagal Ginjal Kronik yang Menjalani Terapi Hemodialisa di RS Universitas Hasanuddin Makassar

Gagal ginjal kronik (GGK) adalah suatu keadaan klinis yang ditandai dengan penurunan fungsi ginjal yang irreversibel, dan memerlukan terapi pengganti ginjal yang tetap berupa transplantasi ginjal atau dialisis. Meskipun hemodialisis memberikan lebih banyak kesempatan hidup kepada pasien, tetapi menyebabkan ketegangan pada pasien yang mengakibatkan terjadinya Perubahan dalam kehidupan pasien, hal inilah salah satu pemicu stres dan gangguan kualitas tidur. Penelitian ini bertujuan untuk mengidentifikasi hubungan tingkat stres dengan kualitas tidur pada pasien gagal ginjal kronik yang menjalani terapi hemodialisa. Penelitian ini dilaksanakan di Ruangan Hemodialisa Rumah Sakit Universitas Hasanuddin. Desain penelitian menggunakan rancangan penelitian deskriptif korelasional dengan pendekatan cross sectional study. Teknik pengambilan sampel secara total sampling dengan jumlah sampel 57 orang. Data di uji dengan uji korelasi Spearman's rho untuk mengukur nilai signifikansi (p), kekuatan korelasi dan arah korelasi (r). Hasil penelitian menunjukkan bahwa terdapat hubungan yang kuat dengan arah korelasi positif antara tingkat stres dengan kualitas tidur dengan nilai signifikansi (p) 0,001 dan r = +0,662 : 0,44). Dari nilai r dapat dilihat bahwa tingkat stres menggambarkan 44% variansi kualitas tidur pada pasien gagal ginjal kronik yang menjalani terapi hemodialisa di Rumah Sakit Universitas Hasanuddin. Kesimpulan dari penelitian ini adalah bahwa meningkatnya nilai stres akan mengakibatkan semakin buruknya kualitas tidur. Untuk itu, diharapkan agar pihak terkait agar dapat meningkatkan dan memberikan edukasi tentang manajemen stres agar pasien dapat memperoleh kualitas tidur yang baik

Reduction of seafood processing wastewater using technologies enhanced by swim–bed technology

The increasing growth of the seafood processing industries considerably requires more industrial process activities and water consumption. It is estimated that approximately 10–40 m3 of wastewater is generated from those industries for processing one-tonne of raw materials. Due to limitations and regulations in natural resources utilization, a suitable and systematic wastewater treatment plant is very important to meet rigorous discharge standards. As a result of food waste biodegradability, the biological treatment and some extent of swim-bed technology, including a novel acryl-fibre (biofilm) material might be used effectively to meet the effluent discharge criteria. This chapter aims to develop understanding on current problems and production of the seafood wastewater regarding treatment efficiency and methods of treatment

Fitting censored quantile regression by variable neighborhood search

Quantile regression is an increasingly important topic in statistical analysis. However, fitting censored quantile regression is hard to solve numerically because the objective function to be minimized is not convex nor concave in regressors. Performance of standard methods is not satisfactory, particularly if a high degree of censoring is present. The usual approach is to simplify (linearize) estimator function, and to show theoretically that such approximation converges to optimal values. In this paper, we suggest a new approach, to solve optimization problem (nonlinear, nonconvex, and nondifferentiable) directly. Our method is based on variable neighborhood search approach, a recent successful technique for solving global optimization problems. The presented results indicate that our method can improve quality of censored quantizing regressors estimator considerably

Biallelic loss of function variants in PPP1R21 cause a neurodevelopmental syndrome with impaired endocytic function

Next‐generation sequencing (NGS) has been instrumental in solving the genetic basis of rare inherited diseases, especially neurodevelopmental syndromes. However, functional workup is essential for precise phenotype definition and to understand the underlying disease mechanisms. Using whole exome (WES) and whole genome sequencing (WGS) in four independent families with hypotonia, neurodevelopmental delay, facial dysmorphism, loss of white matter, and thinning of the corpus callosum, we identified four previously unreported homozygous truncating PPP1R21 alleles: c.347delT p.(Ile116Lysfs*25), c.2170_2171insGGTA p.(Ile724Argfs*8), c.1607dupT p.(Leu536Phefs*7), c.2063delA p.(Lys688Serfs*26) and found that PPP1R21 was absent in fibroblasts of an affected individual, supporting the allele's loss of function effect. PPP1R21 function had not been studied except that a large scale affinity proteomics approach suggested an interaction with PIBF1 defective in Joubert syndrome. Our co‐immunoprecipitation studies did not confirm this but in contrast defined the localization of PPP1R21 to the early endosome. Consistent with the subcellular expression pattern and the clinical phenotype exhibiting features of storage diseases, we found patient fibroblasts exhibited a delay in clearance of transferrin‐488 while uptake was normal. In summary, we delineate a novel neurodevelopmental syndrome caused by biallelic PPP1R21 loss of function variants, and suggest a role of PPP1R21 within the endosomal sorting process or endosome maturation pathway

The effects of ginger on fasting blood sugar, hemoglobin A1c, apolipoprotein B, apolipoprotein A-I and malondialdehyde in type 2 diabetic patients

Diabetes mellitus is the most common endocrine disorder, causes many complications such as micro- and macro-vascular diseases. Anti-diabetic, hypolipidemic and anti-oxidative properties of ginger have been noticed in several researches. The present study was conducted to investigate the effects of ginger on fasting blood sugar, Hemoglobin A1c, apolipoprotein B, apolipoprotein A-I, and malondialdehyde in type 2 diabetic patients. In a randomized, double-blind, placebo-controlled, clinical trial, a total of 41 type 2 diabetic patients randomly were assigned to ginger or placebo groups (22 in ginger group and 19 in control group), received 2 g/day of ginger powder supplement or lactose as placebo for 12 weeks. The serum concentrations of fasting blood sugar, Hemoglobin A1c, apolipoprotein B, apolipoprotein A-I and malondialdehyde were analyzed before and after the intervention. Ginger supplementation significantly reduced the levels of fasting blood sugar, hemoglobin A1c, apolipoprotein B, apolipoprotein B/apolipoprotein A-I and malondialdehyde in ginger group in comparison to baseline, as well as control group, while it increased the level of apolipoprotein A-I (p<0.05). It seems that oral administration of ginger powder supplement can improves fasting blood sugar, hemoglobin A1c, apolipoprotein B, apolipoprotein A-I, apolipoprotein B/apolipoprotein A-I and malondialdehyde in type 2 diabetic patients. So it may have a role in alleviating the risk of some chronic complications of diabetes. © 2015 by School of Pharmacy Shaheed Beheshti University of Medical Sciences and Health Services

Atrial Fibrillation Stratification via Fibrillatory Wave Characterization Using the Filter Diagonalization Method

We use the Filter Diagonalization Method (FDM), a harmonic inversion technique, to extract f-wave features in electrocardiographic (ECG) traces for atrial fibrillation (AF) stratification. The FDM detects f-wave frequencies and amplitudes at frame sizes of 0.15 seconds. We demonstrate our method on a dataset comprising of ECG recordings from 23 patients (61.65 ± 11.63 years, 78.26% male) before cryoablation; 2 paroxysmal AF, 16 early persistent AF (12 months duration). Moreover, some of these patients received adenosine to enhance their RR intervals before ablation. Our method extracts features from FDM outputs to train statistical machine learning classifiers. Tenfold cross-validation demonstrates that the Random Forest and Decision Tree models performed best for the pre-ablation without and with adenosine datasets, with accuracy 60.89 ± 0.31% and 59.58% ± 0.04%, respectively. While the results are modest, they demonstrate that f-wave features can be used for AF stratification. The accuracies are similar for the two tests, slightly better for the case without adenosine, showing that the FDM can successfully model short f-waves without the need to concatenate f-wave sequences or adenosine to elongate RR intervals