Fenomena Bermain Generasi Z dan Hubungannya dengan Eksistensi Ruang Bermain Terbuka di Lingkungan Perumahan Sederhana

Play is something important for children development. In fact, there are many children who can not play as they should. Even playgrounds provided tend not to be able to function optimally. Even there is a tendency of provided playgounds abandoned by children. One example is the generation Z, highly technologyliterate children or called net generation. They would rather to interact with computers and communicate with the online system than meeting their friends. It seems to the generation Z that space is not limited by physical things, because they can create their spaces in the virtual status. Noting this indication, the existence of parks and playgorunds provided for public (including children) to do any activities, is likely to be reviewed. The low level of children visit illustrates that parks/playgrounds do not much interest them

Strategi RSUD Arifin Achmad Provinsi Riau dalam Melaksanakan Program Penyehatan Lingkungan Guna Meningkatkan Kebersihan dan Keindahan Lingkungan Rumah Sakit

Arifin Achmad District Hospital is the largest hospital in the Province of Riau with type B education which every day provides a very intensive health services to the people, as the the biggest waste producers than the other health services. To prevent an infection is needed environmental sanitation which aims to improve the cleanliness and neatness of the hospital environment. Strategy of Arifin Achmad District Hopspital is the the steps that have been planned and implemented to improve the cleanliness and neatness of the hospital environment.This study aims to determine how the strategy of Arifin Achmad District Hospital and the factors that influence that strategy. This study uses qualitative research methods the study descriptive data. In data collection, researchers use interviewing techniques, observation and documentation specified by purposive sampling technique.The research result is a strategy of Arifin Achmad district hospital in implementing environmental sanitation program in order to improve the cleanliness and neatness of this case has not been effective due to it can not be able to optimize the power and opportunities. There are several factors that affect; lack of control, poor coordination, lack of hygiene and surveillance personnel as well as the low awareness of visitors and occupants of the hospital.Keywords : Cleanliness, Neatness, Enviromental Sanitation, Hospital, Strateg

On the Link between Gaussian Homotopy Continuation and Convex Envelopes

Abstract. The continuation method is a popular heuristic in computer vision for nonconvex optimization. The idea is to start from a simpli-fied problem and gradually deform it to the actual task while tracking the solution. It was first used in computer vision under the name of graduated nonconvexity. Since then, it has been utilized explicitly or im-plicitly in various applications. In fact, state-of-the-art optical flow and shape estimation rely on a form of continuation. Despite its empirical success, there is little theoretical understanding of this method. This work provides some novel insights into this technique. Specifically, there are many ways to choose the initial problem and many ways to progres-sively deform it to the original task. However, here we show that when this process is constructed by Gaussian smoothing, it is optimal in a specific sense. In fact, we prove that Gaussian smoothing emerges from the best affine approximation to Vese’s nonlinear PDE. The latter PDE evolves any function to its convex envelope, hence providing the optimal convexification

Performance of Male Layer Fed Ration Containing Green Algae (Spirogyra jaoensis) Extract

Some plant extracts containing natural antimicrobial compounds can be used as either feed supplements or alternatives to antibiotic growth promoters (AGP). A plant known as green algae (Spirogyra jaoensis), is one of the species of green algae group. This study aimed to determine the effect of feeding a diet containing S. jaoensis ethanolic extract on the performance of male layer. A complete randomized model was used for experimental design in various variables. This study was conducted with 240 male layer day-old chick (DOC) (31.0±1.25 g) divided into 5 treatment groups. Each group consisted of 48 birds, with 3 replicates and 16 birds for each replicate. Dietary treatments tested namely, Con: control (without S. jaoensis), EGA1: Con + S. jaoensis extract at 0.05%, EGA2: Con + S. jaoensis extract at 0.1%, EGA3: Con + S. jaoensis extract at 0.25%, and EGA4: Con + S. jaoensis extract at 0.5%. Three chickens from each triplicate were taken and decapitated on the neck and the surgery was performed for histological preparations. The variables observed were villi height, cryptic depth, villi/crypt ratio, goblet cell area of the small intestine, thymus organ weight, myofiber area, fasciculus area, muscle surface area of Pectoralis thoracicus muscle, and growth performance in 14-day-old chickens. Data were subjected to one-way analysis of variance (ANOVA). If it was significant, a Tukey-test was performed with a significance level at p≤0.05. The results showed that small intestinal morphology, muscle morphology, and growth performance of the EGA4 chicken group increased significantly compared to controls (p≤0.05). This study concludes that the administration of S. jaoensis ethanolic extract improves morphology of the small intestine, morphometry of thymus organs, Pectoralis thoracicus muscle performance, and growth performance in male layer

Generic active appearance models revisited

The proposed Active Orientation Models (AOMs) are gen- erative models of facial shape and appearance. Their main dierences with the well-known paradigm of Active Appearance Models (AAMs) are (i) they use a dierent statistical model of appearance, (ii) they are accompanied by a robust algorithm for model tting and parameter es- timation and (iii) and, most importantly, they generalize well to unseen faces and variations. Their main similarity is computational complex- ity. The project-out version of AOMs is as computationally ecient as the standard project-out inverse compositional algorithm which is ad- mittedly the fastest algorithm for tting AAMs. We show that not only does the AOM generalize well to unseen identities, but also it outper- forms state-of-the-art algorithms for the same task by a large margin. Finally, we prove our claims by providing Matlab code for reproducing our experiments