This article investigates the career trajectories of Hong Kong solicitors during two historical turning points, specifically 1994–1997 and 2018–2021, when hundreds of lawyers left private practice to pursue alternative career options such as business and finance, government and politics, or relocation to other countries. Data are sourced from the career mobility records of law firm partners reported in 336 monthly issues of the Hong Kong Lawyer journal between 1994 and 2021, as well as other relevant archival sources. The research examines the underlying forces that led these law firm partners to abandon their high-status positions and pursue alternative career paths during these pivotal moments in Hong Kong’s history. The findings suggest that the career trajectories of these elite professionals are not solely based on individual choices but are also shaped by their social origins and the physical and social spaces that influence their careers over time. This study contributes original insights into the complex interplay between individual, spatial and temporal factors that drive career mobility among legal professionals.

An unexpected path reversal is discovered for a serial robot with an offset-axis wrist over a finite range of proximity to the wrist singularity. This is replicated by a kinematic model. A prior spherical-wrist method transits the singularity with limited joint rate and acceleration under a constant rate of tool traversal. Accurate position is maintained by controlling a small deviation in orientation. Extensions to the method for an offset wrist (1) find the least-maximum deviation, (2) identify and locate where a path reversal occurs, and (3) use this point to control step size in a high-order predictor-correction path following procedure.

This paper concerns with comparing simulation studies for a newly developed concept of turning point to be used in multiple robot path planning. Different critical factors and design parameters are collected and statistical analyses are performed. After configuring different simulation scenarios, the efficient one is evaluated using a robust data envelopment analysis (RDEA). Due to uncertain aspects of various simulations scenarios, robust version of data envelopment analysis is proposed. Here, major criteria in robot path planning are deadlock and conflict avoidance, throughput, mean flow time, and effective total distance travelled. To determine the effective experiment for the proposed simulation model, RDEA is used. A comparative study with respect to different experiments having various simulation setting is developed. The results for a real robotic manufacturing cell system show effectiveness of the proposed process. Also, the efficient simulation software is determined by multiaspect analysis.

In this paper, we are going to investigate the canonical property of solutions of systems of differential equations having a singularity and turning point of even order. First, by a replacement, we transform the system to the Sturm–Liouville equation with turning point. Using of the asymptotic estimates provided by Eberhard, Freiling, and Schneider for a special fundamental system of solutions of the Sturm–Liouville equation, we study the infinite product representation of solutions of the systems. Then we transform the Sturm–Liouville equation with turning point to the equation with singularity, then we study the asymptotic behavior of its solutions. Such representations are relevant to the inverse spectral problem.