Occupational mobility, interfirm mobility and subsequent wage profiles.

This study investigates the job dimension of migrant behavior. It presents a model of worker mobility among occupations and employers. It is assumed that workers behave as if they monitor their expected earnings from continued employment in their present positions. Earnings are presumed to be a function of variables that describe the worker\u27s productivity and prospects for future wage growth. Our model consists of six equations. The first two describe decisions to change occupations and employers. The dependent variables are binary, reflecting the dichotomous nature of the decisions. The remaining equations describe wage rates at the end of period. While we employ a common wage specification, we allow the coefficients of the explanatory variables to differ among the four decision regimes. Each of the equations includes a random error term which captures factors that are known to the decision maker but not measured by our data, as well as inherent randomness in the decision process. We permit nonzero correlation among the error terms in the decision equations and wage equations. This framework gives rise to our three principal items of concern. First, we seek evidence on variables that influence mobility decisions. Second, we examine the post-mobility wage profiles, seeking evidence of discrepancies across migrant regimes. Finally, we look for evidence of self selection in the mobility decision process. We estimate the model with the data collected from the University of Michigan\u27s Panel Study of Income Dynamics (PSID). Based on the results from wage-gap calculations, it is found that within the category of occupational migrants, workers enjoy efficient economic returns, although they can be still better off by not changing employers than changing (intrafirm transfers and promotions). However, it is found that workers who end up with the same occupation with different employer suffer from wage discrepancy. The evidence of self selection is detected in occupational nonmigrants

CochlScene: Acquisition of acoustic scene data using crowdsourcing

This paper describes a pipeline for collecting acoustic scene data by using crowdsourcing. The detailed process of crowdsourcing is explained, including planning, validation criteria, and actual user interfaces. As a result of data collection, we present CochlScene, a novel dataset for acoustic scene classification. Our dataset consists of 76k samples collected from 831 participants in 13 acoustic scenes. We also propose a manual data split of training, validation, and test sets to increase the reliability of the evaluation results. Finally, we provide a baseline system for future research.Comment: Accept by APSIPA ASC 2022, 5 pages, 2 figure

Impacts, Monitoring and Management of Forest Pests and Diseases

Forest pests have diverse negative impacts on forestry economy, ecosystem services, biodiversity, and sustainable ecosystem management. The first step towards effectively managing forest pests would be to monitor their occurrence and assess their impact on forest ecosystems. The monitoring results can provide basic information for effective management strategies. The data from monitoring programs can result in the development of new methods for monitoring, assessing impact, and developing management techniques. This special issue aims to share information to assist in the effective management of forest pests, by understanding the responses of forest pests to natural and anthropogenic changes, and discussing new studies on the monitoring, assessment, and management of forest pests. The fourteen papers included in this issue focus on monitoring, assessing, and managing forest pests, including one editorial providing an overall idea of the monitoring, assessment and management of forest pests, two articles reviewing long-term changes in forest pests and forests, four papers focusing on the monitoring of forest pests, three papers on the assessment of forest pests, and four papers on the management of forest pests. These papers provide a better understanding of the structures and processes in forest ecosystems and fundamental information for the effective management of forest pests

Numerical analysis of dielectric micro-particle motion in a fluid and electric field

We present numerical analysis of a coupled problem composed of fluidics, electromagnetic and particle dynamics. The forces acting on the dielectric micro-particle consist of a dielectrophoretic(DEP) force, drag force and gravitational force in the proposed analysis model. DEP force and drag force are calculated using the distribution of the electric field and fluid velocity field to analyze the characteristic of the micro-particle motion. The forces exerted by each field are driving terms in the Newton’s equation for particle motion. The designed particle separating device, which has the one inlet and the two outlets, is simulated to validate proposed numerical scheme. The analysis results show the trace of the micro-particles can be analyzed using the proposed numerical approach

Visible emission from Ce-doped ZnO nanorods grown by hydrothermal method without a post thermal annealing process

Visible light-emitting Ce-doped ZnO nanorods [NRs] without a post thermal annealing process were grown by hydrothermal method on a Si (100) substrate at a low temperature of 90°C. The structural investigations of Ce-doped ZnO NRs showed that the Ce3+ ions were successfully incorporated into the ZnO lattice sites without forming unwanted Ce-related compounds or precipitates. The optical investigation by photoluminescence spectra shows that the doped Ce3+ ions in the ZnO NRs act as an efficient luminescence center at 540 nm which corresponds to the optical transition of 5d → 4f orbitals in the Ce3+ ions. The photoluminescence intensity of the Ce-doped ZnO NRs increased with the increasing content of the Ce-doping agent because the energy transfer of the excited electrons in ZnO to the Ce3+ ions would be enhanced by increased Ce3+ ions

Study of orientation effect on nanoscale polarization in BaTiO3 thin films using piezoresponse force microscopy

We have investigated the effect of texture on in-plane (IPP) and out- of plane (OPP) polarizations of pulsed-laser-deposited BaTiO3 thin films grown on Pt and La0.5Sr0.5CoO3 (LSCO) buffered Pt electrodes. The OPP and IPP polarizations were observed by piezoresponse force microscopy (PFM) for three-dimensional polarization analyses in conjunction with conventional diffraction methods using x-ray diffraction and reflection high energy electron diffraction measurements. BaTiO3 films grown on Pt electrodes exhibited highly (101) preferred orientation with higher IPP component whereas BaTiO3 film grown on LSCO/Pt electrodes showed (001) and (101) orientations with higher OPP component. Measured effective d(33) values of BaTiO3 films deposited on Pt and LSCO/ Pt electrodes were 14.3 and 54.0 pm/ V, respectively. Local piezoelectric strain loops obtained by OPP and IPP-PFM showed that piezoelectric properties were strongly related to film orientation