Peran Praktisi Dalam Pengembangan Teori Dan Proses Pembelajaran Untuk Sekolah Bisnis

The decreasing number of intakes and quality of the students, and crisis identityhave jeopardise the survival of business schools. There must be a breakthrough toovercome these hard situation. One of the solution is theories-in-use approach, whichis needed to develop the appropriate theory. The writer also suggests to recruit practitionersas the faculty members. This will encourage original theories developmentwhich is appropriate for third world countries like Indonesia. The other solutionis to send the existing lecturers to join the consulting and encourage them to havethe knowledge of practice world. By doing these, hopefully better condition will beachieved

Pendugaan Model Permintaan Ubi Kayu di Indonesia

Cassava (Manihot esculenta Crantz) is important commodity of Indonesia not only as forth producer after Nigeria, Thailand, and Brazil but also as source of carbohydrate. This research will use time series data among 1999-2009. The increasing of cassava production along 1971-2009 reaching 22,03 million tons. And also the projection until 2010 increase until 25,54 million tons. By this increasing, it is expected can open fissure of production and marketing in Indonesia better than before. Simultaneously test of variable contained the coming of cassava stock, another demand, cassava export, cassava consumption, and the demand of cassava last year has significant effect toward cassava demand

Novel octopus shaped organic-inorganic composite membranes for PEMFCs

© 2016 Hydrogen Energy Publications LLC.Phosphoric acid doped polybenzimidazoles are among the most interesting proton exchange membrane materials for high temperature proton exchange membrane fuel cell applications. As a major challenge the proton conducting decline due to free phosphoric acid leaching during the long term fuel cell operation is addressed by fixing overmuch phosphoric acid in the polymer matrix. Novel organic-inorganic composite membranes are prepared via in situ synthesis of poly(2,5-benzimidazole) (ABPBI) and OctaAmmonium POSS (AM-POSS) hybrid composites (ABPBI/AM-POSS) following phosphoric acid doping and membrane casting procedures. Compared with the pristine ABPBI membrane, the introduction of AM-POSS into ABPBI polymer membrane caused water and phosphoric acid absorbilities increasing dramatically, resulting in the significant increase of proton conductivities at whether hydrous or anhydrous condition. ABPBI/3AM composite membranes with phosphoric acid uptake above 250% showed best proton conductivities from room temperature to 160 °C, indicating these composite membranes could be excellent candidates as a polymer electrolyte membrane for low and intermediate temperature applications

Total timings (in seconds) of GFC_L (SILGGM) and GFC_L (MATLAB).

Total timings (in seconds) of GFC_L (SILGGM) and GFC_L (MATLAB).</p

Parameter estimation for a discrete-response model with double rules of sample selection: A Bayesian approach

We present a Bayesian sampling approach to parameter estimation in a discrete-response model with double rules of selectivity, where the dependent variables contain two layers of binary choices and one ordered response. Our investigation is motivated by an empirical study using such a double-selection rule for three labor-market outcomes, namely labor force participation, employment and occupational skill level. Full information maximum likelihood (FIML) estimation often encounters convergence problems in numerical optimization. The contribution of our investigation is to present a sampling algorithm through a new reparameterization strategy. We conduct Monte Carlo simulation studies and find that the numerical optimization of FIML fails for more than half of the simulated samples. Our Bayesian method performs as well as FIML for the simulated samples where FIML works. Moreover, for the simulated samples where FIML fails, Bayesian works as well as it does for the simulated samples where FIML works. We apply the proposed sampling algorithm to the double-selection model of labor-force participation, employment and occupational skill level. We derive the 95% Bayesian credible intervals for marginal effects of the explanatory variable on the three labor-force outcomes. In particular, the marginal effects of mental health factors on these three outcomes are discussed

Bayesian estimation of a discrete response model with double rules of sample selection

We present a Bayesian sampling algorithm for parameter estimation in a discrete-response model, where the dependent variables contain two layers of binary choices and one ordered response. Our investigation is motivated by an empirical study using such a double-selection rule for three labour-market outcomes, namely labour-force participation, employment and occupational skill level. It is of particular interest to measure the marginal effects of some mental health factors on these labour-market outcomes. The contribution of our investigation is to present a sampling algorithm, which is a hybrid of Gibbs and Metropolis-Hastings algorithms. In Monte Carlo simulations, numerical maximization of likelihood fails to converge for more than half of the simulated samples. Our Bayesian method represents a substantial improvement: it converges in every sample, and performs with similar or better precision than maximum likelihood. We apply our sampling algorithm to the double-selection model of labour-force participation, employment and occupational skill level, where marginal effects of explanatory variables, in particular the mental health factors, on the three labour-force outcomes are assessed through 95% Bayesian credible intervals. The proposed sampling algorithm can easily be modified for other multivariate nonlinear models that involve selectivity and are difficult to estimate by other means

Time-Series Lipidomics Insights into the Progressive Characteristics of Lipid Constituents of Fresh Walnut during Postharvest Storage

A high-throughput lipid profiling platform adopting an accurate quantification strategy was built based on Q-Orbitrap mass spectrometry. Lipid components of fresh walnut during postharvest storage were determined, and the fatty acid distributions in triacylglycerol and polar lipids were also characterized. A total of 554 individual lipids in fresh walnut were mainly glycerolipids (56.7%), glycerophospholipids (32.4%), and sphingolipids (11%). With the progress of postharvest storage, 16 lipid subclasses in the stored walnut sample were significantly degraded, in which 34 lipids changed significantly between the fresh and stored groups. The sphingolipid metabolism, glycerolipid metabolism, and linoleic acid metabolism pathways were significantly enriched. The oxidation and degradation mechanism of linoleic acid in walnut kernel during postharvest storage was proposed. The established lipidomics platform can supply reliable and traceable lipid profiling data, help to improve the understanding of lipid degradation in fresh walnut, and offer a framework for analyzing lipid metabolisms in other tree nuts

Supplement_material - Fixed, flexible, and dynamics pricing decisions of Airbnb mode with social learning

Supplement_material for Fixed, flexible, and dynamics pricing decisions of Airbnb mode with social learning by Yuting Chen, Rong Zhang and Bin Liu in Tourism Economics</p

An example of table-format outputs and the corresponding network visualization.

(A) A table in the .csv file generated by the SILGGM package using the method GFC_SL. (B) The corresponding network visualization.</p

The log2-log2 plots of degree distribution of inferred networks by the different approaches.

The log2-log2 plots of degree distribution of inferred networks by the different approaches.</p