Nonfactorization in Hadronic Two-body Cabibbo-favored decays of D^0 and D^+

With the inclusion of nonfactorized amplitudes in a scheme with $N_c=3$, we have studied Cabibbo-favored decays of $D^0$ and $D^+$ into two-body hadronic states involving two isospins in the final state. We have shown that it is possible to understand the measured branching ratios and determined the sizes and signs of nonfactorized amplitudes required.Comment: 15 pages, Late

Studi Tentang Bentuk, Motif dan Teknik Kriya Perak Koto Gadang Minangkabau

Silver is a white shiny metal. It is used as daily needs as well as decoration. The silver handicraft in Koto Gadang district have been well-known since long time ago. The things made by each handycraft centers are almost the same so that it is difficult to create interesting shapes for consumers. Beside that, the technique used is still a simple one, and the motives applied to the handicraft are only little developed. Therefore, this research tries to describe several things: 1) To identify silver handicraft product shapes; 2) To identify the name of the motives being developed; 3) To explain the production technique of silver handicraft. This research is conducted in Koto Gadang; using quantitative and qualitative sampling. The result of this research is silver handicraft shapes, which involve various kinds of earring, bracelet, brooch, ring, necklace, pendant, and miniature, as well as ornament for wedding ceremnny, among other things are various shapes of necklace, ring, and ear-plug. To make handicraft, chisel, kikir (serrated iron for smoothing something), plait, and sickle. The motives applied on the products are cucumber leaf, padek leaf, jackfruit leaf, "H" leaf Lombok, bataro, straight lines, winding, parallel line, bamboo plait, and fish scale

Inelastic Final-State Interactions and Two-body Hadronic B decays into Single-Isospin channels

The role of inelastic final-state interactions in CP asymmetries and branching ratios is investigated in certain chosen single isospin two-body hadronic B decays. Treating final-state interactions through Pomeron and Regge exchanges, we demonstrate that inelastic final state interactions could lead to sizeable effects on the CP asymmetry.Comment: 23 pages, Latex, 1 eps-figur

Etika Berbahasa Indoensia Anak Usia Sekolah Dasar Kelas V SD Negeri 5 Watang Sidenreng

This study aims to describe the form of ethical speaking of the elemntary school age children in grade V  and found the factors cause the less ethical language at primary school age children in grade 5  SD Watang Sidenreng. This study used qualitative descriptive approach. The sources of data obtained from the fifth grade students SD Negeri 5 Watang Sidenreng totaling 28 students. Data obtained by participant observation, in-depth interviews, the study documents, then treated with qualitative descriptive analysis. The results of this study indicate that a form of ethical language in class V can be analyzed in terms of words, sentences, phrases, intonation elements (suprasegmental), and kinesic elements. The factors determining the level of ethical or less ethical levels depend on several factors, namely (1) smooth rough words. (2) a short length utterance. (3) the order of the utterance. (4) intonation (suprasegmentl), and kinesic cues. (5) the use of the pharase marker. While the factors that lead to unethical language in class V, namely (1) friends direct criticize the harsh words, (2) being the most correct opinion, (3) intentionaly accuse opponents utterance, (4) intentionally criticize the opponent utterance, (5) intentionaly embarrass oppenents utterance, (6) giving bad names, (7) brag or boast, (8) being happy if friends misfortune, (9) using derect speech, and (10) has become a bad habit

Integration of a big data emerging on large sparse simulation and its application on green computing platform

The process of analyzing large data and verifying a big data set are a challenge for understanding the fundamental concept behind it. Many big data analysis techniques suffer from the poor scalability, variation inequality, instability, lower convergence, and weak accuracy of the large-scale numerical algorithms. Due to these limitations, a wider opportunity for numerical analysts to develop the efficiency and novel parallel algorithms has emerged. Big data analytics plays an important role in the field of sciences and engineering for extracting patterns, trends, actionable information from large sets of data and improving strategies for making a decision. A large data set consists of a large-scale data collection via sensor network, transformation from signal to digital images, high resolution of a sensing system, industry forecasts, existing customer records to predict trends and prepare for new demand. This paper proposes three types of big data analytics in accordance to the analytics requirement involving a large-scale numerical simulation and mathematical modeling for solving a complex problem. First is a big data analytics for theory and fundamental of nanotechnology numerical simulation. Second, big data analytics for enhancing the digital images in 3D visualization, performance analysis of embedded system based on the large sparse data sets generated by the device. Lastly, extraction of patterns from the electroencephalogram (EEG) data set for detecting the horizontal-vertical eye movements. Thus, the process of examining a big data analytics is to investigate the behavior of hidden patterns, unknown correlations, identify anomalies, and discover structure inside unstructured data and extracting the essence, trend prediction, multi-dimensional visualization and real-time observation using the mathematical model. Parallel algorithms, mesh generation, domain-function decomposition approaches, inter-node communication design, mapping the subdomain, numerical analysis and parallel performance evaluations (PPE) are the processes of the big data analytics implementation. The superior of parallel numerical methods such as AGE, Brian and IADE were proven for solving a large sparse model on green computing by utilizing the obsolete computers, the old generation servers and outdated hardware, a distributed virtual memory and multi-processors. The integration of low-cost communication of message passing software and green computing platform is capable of increasing the PPE up to 60% when compared to the limited memory of a single processor. As a conclusion, large-scale numerical algorithms with great performance in scalability, equality, stability, convergence, and accuracy are important features in analyzing big data simulation

Integration of a big data emerging on large sparse simulation and its application on green computing platform

The process of analyzing large data and verifying a big data set are a challenge for understanding the fundamental concept behind it. Many big data analysis techniques suffer from the poor scalability, variation inequality, instability, lower convergence, and weak accuracy of the large-scale numerical algorithms. Due to these limitations, a wider opportunity for numerical analysts to develop the efficiency and novel parallel algorithms has emerged. Big data analytics plays an important role in the field of sciences and engineering for extracting patterns, trends, actionable information from large sets of data and improving strategies for making a decision. A large data set consists of a large-scale data collection via sensor network, transformation from signal to digital images, high resolution of a sensing system, industry forecasts, existing customer records to predict trends and prepare for new demand. This paper proposes three types of big data analytics in accordance to the analytics requirement involving a large-scale numerical simulation and mathematical modeling for solving a complex problem. First is a big data analytics for theory and fundamental of nanotechnology numerical simulation. Second, big data analytics for enhancing the digital images in 3D visualization, performance analysis of embedded system based on the large sparse data sets generated by the device. Lastly, extraction of patterns from the electroencephalogram (EEG) data set for detecting the horizontal-vertical eye movements. Thus, the process of examining a big data analytics is to investigate the behavior of hidden patterns, unknown correlations, identify anomalies, and discover structure inside unstructured data and extracting the essence, trend prediction, multi-dimensional visualization and real-time observation using the mathematical model. Parallel algorithms, mesh generation, domain-function decomposition approaches, inter-node communication design, mapping the subdomain, numerical analysis and parallel performance evaluations (PPE) are the processes of the big data analytics implementation. The superior of parallel numerical methods such as AGE, Brian and IADE were proven for solving a large sparse model on green computing by utilizing the obsolete computers, the old generation servers and outdated hardware, a distributed virtual memory and multi-processors. The integration of low-cost communication of message passing software and green computing platform is capable of increasing the PPE up to 60% when compared to the limited memory of a single processor. As a conclusion, large-scale numerical algorithms with great performance in scalability, equality, stability, convergence, and accuracy are important features in analyzing big data simulation

Nonfactorization and Color-Suppressed B→ψ(ψ(2S))+K(K∗)B \to \psi (\psi(2S))+K(K^*) Decays

Using $N_c=3$ value of the parameter $a_2=0.09$ but including a modest nonfactorized amplitude, we show that it is possible to understand all data, including polarization, for color-suppressed $B\to\psi(\psi(2S))+K(K^*)$ decays in all commonly used models of form factors. We show that for $B\to\psi +K$ decay one can define an effective $a_2$, which is process-dependent and, in general, complex; but it is not possible to define an effective $a_2$ for $B\to\psi +K^*$ decay. We also explain why nonfactorized amplitudes do not play a significant role in color-favored B decays.Comment: 13 pages, Latex, one figure (not included