Media Literacy Facilitation as Service Learning and Public Engagement

This chapter offers insights from a 15-year partnership between a public university and local K-12 schools to explore how the facilitation of media literacy education (MLE) programs by university students can offer rewarding outcomes for both research and learning. The MLE program that serves as the case study for this chapter takes place at local elementary schools each spring in conjunction with an undergraduate communication course and includes interactive media analysis discussions as well as a culminating creative production activity. Reflections and written feedback from participating graduate, undergraduate, and elementary students emphasize the strengths of this pedagogical model for collaboration and learning while also acknowledging the practical constraints of such a partnership. By detailing the institutional-level support, instructional design, and practical implementation of this MLE program, the chapter enumerates the benefits and challenges of engaged research and service learning for advancing media literacy goals.

A genetic algorithm for vehicle routing in logistic networks with practical constraints

We optimise a postal delivery problem with time and capacity constraints imposed on vehicles and nodes of the logistic network. Time constraints relate to the duration of routes, whereas capacity constraints concern technical characteristics of vehicles and postal operation outlets. We consider a method which can be applied to a brownfield scenario, in which capacities of outlets can be relaxed and prospective hubs identified. As a solution, we apply a genetic algorithm and test its properties both in small case studies and in a simulated problem instance of a larger (i.e. comparable with real-world instances) size. We show that the genetic operators we employ are capable of switching between solutions based on direct origin-to-destination routes and solutions based on transfer connections, depending on what is more beneficial in a given problem instance. Moreover, the algorithm correctly identifies cases in which volumes should be shipped directly, and those in which it is optimal to use transfer connections within a single problem instance, if an instance in question requires such a selection for optimality. The algorithm is thus suitable for determining hubs and satellite locations. All considerations presented in this paper are motivated by real-life problem instances experienced by the Polish Post, the largest postal service provider in Poland, in its daily plans of delivering postal packages, letters and pallets.

Facing the Harsh Reality of Access and Benefit Sharing (ABS) Legislation: An Industry Perspective

Access and benefit sharing (ABS) is a framework which refers to a relatively recent type of legal requirements for access to and use of “genetic resources”. They are based on diverse national and regional laws and regulations, which mostly result from the implementation of the United Nations’ Convention on Biological Diversity (CBD) and its supplementary agreement, the Nagoya Protocol. Their ambition is to achieve fair and equitable sharing of benefits arising out of the use of genetic resources as an incentive to conserve and sustainably use them. This paper describes the experiences, practical constraints and complexities encountered by users of genetic resources when dealing with ABS legislation, with a focus on users from the private sector. We provide insights on how ABS laws have fundamentally changed the way of working with genetic resources, in the hope that it inspires re-thinking of the ABS framework, to better support the overall objectives of the CBD.

A Resonant Coupler for Subcutaneous Implant

A resonator coupler for subcutaneous implants has been developed with a new impedance matching pattern added to the conventional loop antenna. The tuning element of a concentric metal pad contributes distributed capacitance and inductance to the planar inductive loop and improves resonance significantly. It provides a better qualify factor for resonant coupling and a much lower reflection coefficient for the implant electronics. Practical constraints are taken into account for designs including the requirement of operation within a regulated frequency band and the limited thickness for a monolithic implant. In this work, two designs targeting to operate in the two industrial, scientific, and medical (ISM) bands at 903 MHz and 2.45 GHz are considered. The tuning metal pad improves their resonances significantly, compared to the conventional loop designs. Since it is difficult to tune the implant antenna after implantation, the effects of tissue depth variations due to the individual’s surgery and the appropriate implant depths are investigated. Simulations conducted with the dielectric properties of human skin documented in the literature are compared to measurements done with hydrated ground pork as phantoms. Experiments and simulations are conducted to explain the discrepancies in frequency shifts due to the uses of pork phantoms. The design method is thus validated for uses on human skin. A noninvasive localization method to identify the implant under the skin has been examined and demonstrated by both simulations and measurements. It can efficiently locate the subcutaneous implant based on the high quality-factor resonance owing to the tuning elements in both implant and transmitter couplers. The planar resonant coupler for wireless power transfer shows good performance and promise in subcutaneous applications for implants.

Multi-Target Coordinated Search Algorithm for Swarm Robotics Considering Practical Constraints

In order to deal with the multi-target search problems for swarm robots in unknown complex environments, a multi-target coordinated search algorithm for swarm robots considering practical constraints is proposed in this paper. Firstly, according to the target detection situation of swarm robots, an ideal search algorithm framework combining the strategy of roaming search and coordinated search is established. Secondly, based on the framework of the multi-target search algorithm, a simplified virtual force model is combined, which effectively overcomes the real-time obstacle avoidance problem in the target search of swarm robots. Finally, in order to solve the distributed communication problem in the multi-target search of swarm robots, a distributed neighborhood communication mechanism based on a time-varying characteristic swarm with a restricted random line of sight is proposed, and which is combined with the multi-target search framework. For the swarm robot kinematics, obstacle avoidance, and communication constraints of swarm robots, the proposed multi-target search strategy is more stable, efficient, and practical than the previous methods. The effectiveness of this proposed method is verified by numerical simulations.

The strain of constraint

This article seeks to define and illustrate the notion of ‘constraint’ as it applies to literary translation. After a brief discussion of various ways in which the concept of constraint intersects with literary translation, the focus turns to the notion of ‘elasticity’, which describes tensions exerted upon the translator by factors particular to a given translation project, whether these are stylistic, formal, lexical, or intentional literary constraints. This tension forces the translator to work ‘otherwise’ and dictates to a certain extent where the translator must situate him or herself along a continuum of ‘faithfulness’ that ranges from material form to semantic meaning. Four examples are taken from the author’s own work as a literary translator, drawing on translations of ‘constrained’ texts of progressive difficulty by Marcel Schwob, Raymond Queneau, Olivier Salon, and J.-A. Soubira. Finally, this illustration of varying textual elasticity and constraint is examined from a sociological angle, which seeks to explore practical constraints of literary translation in today’s American literary marketplace.

Facing the Harsh Reality of Access and Benefit Sharing (ABS) Legislation

Access and Benefit Sharing (ABS) is a framework which refers to a relatively recent type of legal requirements for access to and/or use of “genetic resources”. They are based on diverse national and regional laws and regulations, which mostly result from the implementation of the United Nations’ Convention on Biological Diversity (CBD) and its supplementary agreement, the Nagoya Protocol. Their ambition is to achieve fair and equitable sharing of benefits arising out of the use of genetic resources as an incentive to conserve and sustainably use them. This paper describes the experiences, practical constraints and complexities encountered by users of genetic resources when dealing with ABS legislation, with a focus on users from the private sector. We provide insights on how ABS laws have fundamentally changed the way of working with genetic resources in the hope that it inspires re-thinking of the ABS framework, to better support the overall objectives of the CBD.

Using Ground-Based Passive Reflectors for Improving UAV Landing

The article reviews the problem of landing on hard-to-reach and poorly developed territories, especially in the case of unmanned aerial vehicles. Various landing systems and approaches are analyzed, and their key advantages and disadvantages are summarized; afterwards, an approach with passive reflectors is considered. A formal definition is provided for the main factors relative to the accuracy analysis, and a model is presented. The way to improve the landing procedure, while simultaneously meeting various practical constraints, is analyzed; the results of numerical simulation are presented, followed by the detailed conclusion describing still remaining challenges and subjects for further research.

Which routes for optimal yield sampling in viticulture?

Estimating vineyard crop yield is important for preparing harvesting operations and vatting. Estimations are generally carried out by sampling shortly before harvest and observations are made on a limited number of sampling sites. The sampling process has obvious practical constraints, such as the time allocated to the operation, which determines both the number of sites to be sampled and the route to reach them.