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Minors seeking abortion in states with parental involvement requirements can obtain judicial bypass (JB) as an alternative. Research on minors' reasons for choosing bypass and the logistical obstacles associated with bypass is limited, yet needed to assess potential burdens introduced by mandated parental involvement. Using data from all minors represented in JB proceedings by the Illinois Judicial Bypass Coordination Project in 2017 and 2018, we present descriptive statistics summarizing minors' demographic characteristics, reasons for seeking bypass, individuals involved in decision-making, and distances traveled and time elapsed to attend the court hearing. Most minors obtaining bypass (n = 150) agreed to participate (n = 128). Just more than half (55%) were aged 17 years and lived with one parent (54%). A minority were already parenting (5%) and/or lived with someone besides a parent or on their own (16%). The reasons for bypass included concern about being forced to continue the pregnancy (50%), fear of being kicked out of their home and/or cut off financially (41%), having no/minimal relationship with parents (15%), and fear of physical/emotional abuse (13%). Minors traveled an average of 24 miles one-way (range 1–270 miles) to a courthouse for their hearing. On average, 6.4 days elapsed between contacting the Judicial Bypass Coordination Project and the hearing. Judicial bypass can offer young people an opportunity to retain autonomy in decision-making, potentially avoiding abuse and other negative outcomes. However, even in a state with a well-organized network of attorneys, JB contributes 1 week to minors' abortion-seeking timeline and necessitates traveling long distances. [ABSTRACT FROM AUTHOR]

Multinational companies deal with production processes in various countries by operating global production networks. These production processes are allocated to production plants with different levels of autonomy regarding strategic and operative decisions. Typically, each plant and the whole network are managed by one or more network managers who have to deal with a decision overload in their daily business. 50% of their decisions are made in less than 9 minutes and only a small amount of decision tasks are dealt with for more than one hour. To reduce this dilemma, it was found that the distribution of decision autonomy can be enhanced. It depends on the company's strategy and complexity dimensions in global production networks. However, so far there is little evidence on how to better distribute decision autonomy in global production networks in detail. Furthermore, it is not transparent at what level of cetralism a global production network should be managed without cutting the capabilities of production plants. This paper presents a methodology, which examines relevant strategy dimensions and derives guidance on how to distribute decisions in global production networks. First, the network and production strategies of global production networks are classified. Second, relevant complexity dimensions and decisions are introduced. Third, the influence of the distribution of decision autonomy on strategy dimensions is quantified by an impact model. Furthermore, the effect of complexity on the distribution of decision autonomy is quantified by an impact model. Here, the integration of empirical data was used to validate the different influences. Finally, the ideal distribution of decision autonomy for specific production plants in the global production network is derived. The methodology is applied in an industrial use case to prove its practical impact. [ABSTRACT FROM AUTHOR]

Today AUVs operation still remains restricted to very particular tasks with low real autonomy due to battery restrictions. Efficient path planning and mission scheduling are principle requirement toward advance autonomy and facilitate the vehicle to handle long-range operations. A single vehicle cannot carry out all tasks in a large scale terrain; hence, it needs a certain degree of autonomy in performing robust decision making and awareness of the mission/environment to trade-off between tasks to be completed, managing the available time, and ensuring safe deployment at all stages of the mission. In this respect, this research introduces a modular control architecture including higher/lower level planners, in which the higher level module is responsible for increasing mission productivity by assigning prioritized tasks while guiding the vehicle toward its final destination in a terrain covered by several waypoints; and the lower level is responsible for vehicle’s safe deployment in a smaller scale encountering time-varying ocean current and different uncertain static/moving obstacles similar to actual ocean environment. Synchronization between higher and lower level modules is efficiently configured to manage the mission time and to guarantee on-time termination of the mission. The performance and accuracy of two higher and lower level modules are tested and validated using ant colony and firefly optimization algorithm, respectively. After all, the overall performance of the architecture is investigated in 10 different mission scenarios. The analysis of the captured results from different simulated missions confirms the efficiency and inherent robustness of the introduced architecture in efficient time management, safe deployment, and providing beneficial operation by proper prioritizing the tasks in accordance with mission time. [ABSTRACT FROM AUTHOR]