Pengaruh inovasi Produk, Keunggulan Bersaing, dan Strategi Pemasaran Terhadap Kinerja Pemasaran

Product innovation, competitive advantage and marketing strategy are indicators to measure the success and success of managing a business. Because product innovation and product excellence are variables that are believed to be able to improve marketing performance, especially for micro, small and medium enterprises (UMKM). The purpose of this study was to directly test the variables of product innovation, competitive advantage and marketing strategy on marketing performance. To consumers. The number of samples included in this study was 82 and PLS3 was used as an analysis tool. The results showed that the effect of product innovation, competitive advantage, and marketing strategy had a positive effect on marketing performance

Pengaruh inovasi Produk, Keunggulan Bersaing, dan Strategi Pemasaran Terhadap Kinerja Pemasaran

Product innovation, competitive advantage and marketing strategy are indicators to measure the success and success of managing a business. Because product innovation and product excellence are variables that are believed to be able to improve marketing performance, especially for micro, small and medium enterprises (UMKM). The purpose of this study was to directly test the variables of product innovation, competitive advantage and marketing strategy on marketing performance. To consumers. The number of samples included in this study was 82 and PLS3 was used as an analysis tool. The results showed that the effect of product innovation, competitive advantage, and marketing strategy had a positive effect on marketing performance

A Fully Bayesian Approach for Combining Multilevel Failure Information in Fault Tree Quantification and Corresponding Optimal Resource Allocation

This paper presents a fully Bayesian approach that simultaneously combines basic event and statistically independent higher event-level failure data in fault tree quantification. Such higher-level data could correspond to train, sub-system or system failure events. The full Bayesian approach also allows the highest-level data that are usually available for existing facilities to be automatically propagated to lower levels. A simple example illustrates the proposed approach. The optimal allocation of resources for collecting additional data from a choice of different level events is also presented. The optimization is achieved using a genetic algorithm

General Intelligence in Another Primate: Individual Differences across Cognitive Task Performance in a New World Monkey (Saguinus oedipus)

Background: Individual differences in human cognitive abilities show consistently positive correlations across diverse domains, providing the basis for the trait of ‘‘general intelligence’ ’ (g). At present, little is known about the evolution of g, in part because most comparative studies focus on rodents or on differences across higher-level taxa. What is needed, therefore, are experiments targeting nonhuman primates, focusing on individual differences within a single species, using a broad battery of tasks. To this end, we administered a large battery of tasks, representing a broad range of cognitive domains, to a population of captive cotton-top tamarin monkeys (Saguinus oedipus). Methodology and Results: Using a Bayesian latent variable model, we show that the pattern of correlations among tasks is consistent with the existence of a general factor accounting for a small but significant proportion of the variance in each task (the lower bounds of 95 % Bayesian credibility intervals for correlations between g and task performance all exceed 0.12). Conclusion: Individual differences in cognitive abilities within at least one other primate species can be characterized by a general intelligence factor, supporting the hypothesis that important aspects of human cognitive function most likel

ANALISIS KAPASITAS PENAMPANG DAN TINGGI MUKA AIR SUNGAI MALINO TERHADAP BERBAGAI KALA ULANG BANJIR

Sungai Malino di kabupaten Parimo Sulawesi Tengah, pernah meluap dan membanjiri beberapa daerah aliran sungainya yang mengakibatkan kerugian bagi warga yang tinggal di bantaran sungai maupun pengguna jalan raya. Untuk mengantisipasi bahaya banjir, dibutuhkan data kapasitas penampang dan tinggi muka air sungai Malino.Pada penelitian ini, frekuensi hujan dihitung dengan metode Log Pearson III. Data curah hujan yang digunakan adalah data curah hujan harian maksimum tahun 2008 s/d 2017 dari pos hujan Ongka - Persatuan. Simulasi hujan aliran dilakukan dengan HSS SCS menggunakan bantuan program HEC-HMS. Untuk memperoleh elevasi tinggi muka air, maka debit puncak hasil simulasi dimasukkan dalam program HEC-RAS. Hasil simulasi menunjukkan bahwa kapasitas penampang dari STA 0+0 sampai dengan STA 0+200 sungai Malino tidak dapat lagi menampung debit banjir dengan kala ulang 5 tahun, 10 tahun, 25 tahun, 50 tahun, dan 100 tahun .Kata kunci : Banjir, Kapasitas Penampang Sungai, Tinggi Muka Air, HEC-HMS, HEC-RAS

Hubungan Antarapengetahuan Dan Sikap Dengan Tindakan Hidup Sehat Pasien Tb Paru Di Poliklinik Paru Rsup Prof Dr. R. D Kandou Manado

: Pulmonary tuberculosis is disease cause of death to 3 in Indonesia. Prevalence pulmonary tuberculosis in Indonesia is now 555,000 cases ( 256 cases/ 100,00 inhabitants ), and 46 % of them was new cases. The act of healthy living one may stir in various factors such knowledge and attitude.Research Purposes Knowing the relation between knowledge and attitude with the act of healthy living patient pulmonary tuberculosis in the polyclinic pulmonary RSUP Prof Dr. R. D. Kandou Manado.Design this researchis descriptive analytic the plan cross sectional. The selection of Samples with purposive sampling as many as 97 respondents. Next the data obtained were analyzed with the program the computerized Statistical Product and Service Solutions (SPSS) version 20.0 by using the chi-square test (x2), at the level of significance 95% (α 0,05).Statistical analyses showing the result that there is a relationship between knowledge by the action of living healthy patient pulmonary tuberculosis in the polyclinic pulmonary RSUP Prof. Dr. R. D. Kandou Manado, p = 0,000 (p<0,05). Is no link between an attitude with the act of healthy living patient pulmonary tuberculosis in the polyclinic pulmonary RSUP Prof. Dr. R. D. Kandou Manado, p = 0,011 (p<0,05).Conclusions, knowledge and attitude having relation meaningful with the act of healthy life.Advise, the need for an increase in knowledge and attitudes about healthy life to to improve the quality of life of a person. For the world in nursing to research can be used as material for carrying out the promotion of health (counseling) for people who suffer pulmonary tuberculosis and not with based on duties and functions of a nurse namely as a edukator

Systematic identification of long noncoding RNAs expressed during zebrafish embryogenesis

Long noncoding RNAs (lncRNAs) comprise a diverse class of transcripts that structurally resemble mRNAs but do not encode proteins. Recent genome-wide studies in humans and the mouse have annotated lncRNAs expressed in cell lines and adult tissues, but a systematic analysis of lncRNAs expressed during vertebrate embryogenesis has been elusive. To identify lncRNAs with potential functions in vertebrate embryogenesis, we performed a time-series of RNA-seq experiments at eight stages during early zebrafish development. We reconstructed 56,535 high-confidence transcripts in 28,912 loci, recovering the vast majority of expressed RefSeq transcripts while identifying thousands of novel isoforms and expressed loci. We defined a stringent set of 1133 noncoding multi-exonic transcripts expressed during embryogenesis. These include long intergenic ncRNAs (lincRNAs), intronic overlapping lncRNAs, exonic antisense overlapping lncRNAs, and precursors for small RNAs (sRNAs). Zebrafish lncRNAs share many of the characteristics of their mammalian counterparts: relatively short length, low exon number, low expression, and conservation levels comparable to that of introns. Subsets of lncRNAs carry chromatin signatures characteristic of genes with developmental functions. The temporal expression profile of lncRNAs revealed two novel properties: lncRNAs are expressed in narrower time windows than are protein-coding genes and are specifically enriched in early-stage embryos. In addition, several lncRNAs show tissue-specific expression and distinct subcellular localization patterns. Integrative computational analyses associated individual lncRNAs with specific pathways and functions, ranging from cell cycle regulation to morphogenesis. Our study provides the first systematic identification of lncRNAs in a vertebrate embryo and forms the foundation for future genetic, genomic, and evolutionary studies.National Human Genome Research Institute (U.S.) (Grant 1RO1HG005111-01

Efficient Mutagenesis by Cas9 Protein-Mediated Oligonucleotide Insertion and Large-Scale Assessment of Single-Guide RNAs

The CRISPR/Cas9 system has been implemented in a variety of model organisms to mediate site-directed mutagenesis. A wide range of mutation rates has been reported, but at a limited number of genomic target sites. To uncover the rules that govern effective Cas9-mediated mutagenesis in zebrafish, we targeted over a hundred genomic loci for mutagenesis using a streamlined and cloning-free method. We generated mutations in 85% of target genes with mutation rates varying across several orders of magnitude, and identified sequence composition rules that influence mutagenesis. We increased rates of mutagenesis by implementing several novel approaches. The activities of poor or unsuccessful single-guide RNAs (sgRNAs) initiating with a 5′ adenine were improved by rescuing 5′ end homogeneity of the sgRNA. In some cases, direct injection of Cas9 protein/sgRNA complex further increased mutagenic activity. We also observed that low diversity of mutant alleles led to repeated failure to obtain frame-shift mutations. This limitation was overcome by knock-in of a stop codon cassette that ensured coding frame truncation. Our improved methods and detailed protocols make Cas9-mediated mutagenesis an attractive approach for labs of all sizes

Red Queen Coevolution on Fitness Landscapes

Species do not merely evolve, they also coevolve with other organisms. Coevolution is a major force driving interacting species to continuously evolve ex- ploring their fitness landscapes. Coevolution involves the coupling of species fit- ness landscapes, linking species genetic changes with their inter-specific ecological interactions. Here we first introduce the Red Queen hypothesis of evolution com- menting on some theoretical aspects and empirical evidences. As an introduction to the fitness landscape concept, we review key issues on evolution on simple and rugged fitness landscapes. Then we present key modeling examples of coevolution on different fitness landscapes at different scales, from RNA viruses to complex ecosystems and macroevolution.Comment: 40 pages, 12 figures. To appear in "Recent Advances in the Theory and Application of Fitness Landscapes" (H. Richter and A. Engelbrecht, eds.). Springer Series in Emergence, Complexity, and Computation, 201

Protein co-evolution, co-adaptation and interactions

Co-evolution has an important function in the evolution of species and it is clearly manifested in certain scenarios such as host–parasite and predator–prey interactions, symbiosis and mutualism. The extrapolation of the concepts and methodologies developed for the study of species co-evolution at the molecular level has prompted the development of a variety of computational methods able to predict protein interactions through the characteristics of co-evolution. Particularly successful have been those methods that predict interactions at the genomic level based on the detection of pairs of protein families with similar evolutionary histories (similarity of phylogenetic trees: mirrortree). Future advances in this field will require a better understanding of the molecular basis of the co-evolution of protein families. Thus, it will be important to decipher the molecular mechanisms underlying the similarity observed in phylogenetic trees of interacting proteins, distinguishing direct specific molecular interactions from other general functional constraints. In particular, it will be important to separate the effects of physical interactions within protein complexes (‘co-adaptation') from other forces that, in a less specific way, can also create general patterns of co-evolution