Screening for the Success Potential of New Products: The Case of the Movie Industry

To minimize costs and risks, it is critical for firms to identify the success potential of new products early in the new product development (NPD) process. Despite the benefits of early assessment, however, current NPD processes rarely determine product launch decisions at the idea/concept stage. To provide novel insights about ways to predict market outcomes at an early stage, this paper explores the contributions of key elements of new product ideas/concepts (categorized as product features and emotional features) to financial outcomes. Using the motion picture industry of the United States as the study context, this paper assesses films’ return on investments (ROI), by using information available at the idea screening (i.e., greenlighting) stage. A text analysis reveals that product and emotional features of screenplays influence of box office ROI, validating that these proposed features of new product ideas can successfully explain market outcomes. Accordingly, this paper highlights the importance of linking new ideas to market outcomes if the goal is to improve the NPD decision-making process and create a better greenlighting process for movie studios

A Second-order bias model for the Logarithmic Halo Mass Density

We present an analytic model for the local bias of dark matter halos in a LCDM universe. The model uses the halo mass density instead of the halo number density and is searched for various halo mass cuts, smoothing lengths, and redshift epoches. We find that, when the logarithmic density is used, the second-order polynomial can fit the numerical relation between the halo mass distribution and the underlying matter distribution extremely well. In this model the logarithm of the dark matter density is expanded in terms of log halo mass density to the second order. The model remains excellent for all halo mass cuts (from M_{cut}=3\times10^{11}$to$3\times10^{12}h^{-1}M_{\odot}$), smoothing scales (from$R=5h^{-1}$Mpc to$50h^{-1}$Mpc), and redshift ranges (from z=0 to 1.0) considered in this study. The stochastic term in the relation is found not entirely random, but a part of the term can be determined by the magnitude of the shear tensor.Comment: 8 pages, 7 figures, accepted for publication on Ap

The Challenging and Transformative Implications of Education for Sustainable Development: A Case Study in South Korea

Sustainable development can be considered one of the biggest global challenges of this era, especially in the domain of education. Hence, this paper presents a case study on how the “Tongyoeng Regional Center for Expertise (Tongyoeng RCE)” has contributed to the practice of Education for Sustainable Development (ESD) and to the reformation of curriculum development process in South Korea. It establishes a cooperative system between formal education and in/non-formal education within an environment of a conservative and exclusive educational system. While focusing on the substantial achievement of Tongyoeng RCE that has transformed the South Korean education system from a “knowledge and grade-centred” Eastern educational regime to a “value and practice centred” one, this study also addresses how the RCE has initiated a “learning society,” that is, decentralized and deregulated educational communities that are more flexible in resolving the unprecedented challenges of globalization. This research emphasizes the implications of education for sustainable development as a challenging and transformative curriculum development process in South Korea

Understanding Probe Behaviors through Variational Bounds of Mutual Information

With the success of self-supervised representations, researchers seek a better understanding of the information encapsulated within a representation. Among various interpretability methods, we focus on classification-based linear probing. We aim to foster a solid understanding and provide guidelines for linear probing by constructing a novel mathematical framework leveraging information theory. First, we connect probing with the variational bounds of mutual information (MI) to relax the probe design, equating linear probing with fine-tuning. Then, we investigate empirical behaviors and practices of probing through our mathematical framework. We analyze the layer-wise performance curve being convex, which seemingly violates the data processing inequality. However, we show that the intermediate representations can have the biggest MI estimate because of the tradeoff between better separability and decreasing MI. We further suggest that the margin of linearly separable representations can be a criterion for measuring the "goodness of representation." We also compare accuracy with MI as the measuring criteria. Finally, we empirically validate our claims by observing the self-supervised speech models on retaining word and phoneme information.Comment: Accepted to ICASSP 2024, implementation available at https://github.com/juice500ml/information_probin

On global regularity of some bi-rotational Euler flows in R4\mathbb{R}^{4}

In this paper, we consider incompressible Euler flows in $\mathbb{R}^{4}$ under bi-rotational symmetry, namely solutions that are invariant under rotations in $\mathbb{R}^{4}$ fixing either the first two or last two axes. With the additional swirl-free assumption, our first main result gives local wellposedness of Yudovich-type solutions, extending the work of Danchin [Uspekhi Mat. Nauk 62(2007), no.3, 73-94] for axisymmetric flows in $\mathbb{R}^{3}$. The second main result establishes global wellposedness under additional decay conditions near the axes and at infinity. This in particular gives global regularity of $C^{\infty}$ smooth and decaying Euler flows in $\mathbb{R}^{4}$ subject to bi-rotational symmetry without swirl.Comment: 25 pages, 2 figure

On Optimizing Distributed Tucker Decomposition for Dense Tensors

The Tucker decomposition expresses a given tensor as the product of a small core tensor and a set of factor matrices. Apart from providing data compression, the construction is useful in performing analysis such as principal component analysis (PCA)and finds applications in diverse domains such as signal processing, computer vision and text analytics. Our objective is to develop an efficient distributed implementation for the case of dense tensors. The implementation is based on the HOOI (Higher Order Orthogonal Iterator) procedure, wherein the tensor-times-matrix product forms the core routine. Prior work have proposed heuristics for reducing the computational load and communication volume incurred by the routine. We study the two metrics in a formal and systematic manner, and design strategies that are optimal under the two fundamental metrics. Our experimental evaluation on a large benchmark of tensors shows that the optimal strategies provide significant reduction in load and volume compared to prior heuristics, and provide up to 7x speed-up in the overall running time.Comment: Preliminary version of the paper appears in the proceedings of IPDPS'1

Fire Resistance on Bearing Wall Using Steel & Gypsum

The conventional loadbearing wall systems generally used in Korea are composed of concrete and brick. Which materials have many defaults like long-term construction period and cost increase. Recently in us, a rapid increase in the usage of cold-formed steel section in housing and commercial building construction can widely be seen. The loadbearing wall assembly composed of light gauge-steel and gypsum board can preferably be applied to residential and commercial building of 5 stories or below. In order that light-gauge steel framing can be prevalently introduced in our domestic housing market, the wall assembly must have sufficient fire-resistant performance. Fire-resistant tests were conducted for the load bearing wall specimens of 7.2m² in size and fire tests were carried out on load-bearing wall systems by method of loading condition and unloading condition in full size of specimens in order to certify the fire-resistance properties. Through test results, the temperature slopes of each material such as steel, insulation and gypsum board were obtained, along with the vertical and horizontal deflection of specimens