title: Design exploration of ebook interfaces for personal ebook libraries on tablet devices

authors: Vanderschantz, Nicholas

subjects: computer science

abstract: Mobile eBook readers and reader applications are readily available and are marketed as convenient for accessing personal eBook collections. Different brands of readers and apps are frequently evaluated and compared in consumer, trade, and popular magazines, but rarely in academic studies. This present study examines nine personal digital library (pDL) interfaces, from which design cues are drawn and paper prototypes of pDL for eBooks are developed. The paper prototypes are evaluated in a usability study to elicit the eBook display preferences of users.

text: Design exploration of ebook interfaces for personal ebook libraries on tablet devices Mobile eBook readers and reader applications are readily available and are marketed as convenient for accessing personal eBook collections. Different brands of readers and apps are frequently evaluated and compared in consumer, trade, and popular magazines, but rarely in academic studies. This present study examines nine personal digital library (pDL) interfaces, from which design cues are drawn and paper prototypes of pDL for eBooks are developed. The paper prototypes are evaluated in a usability study to elicit the eBook display preferences of users.

year: 2015

title: Cue word guided question generation with BERT model fine-tuned on natural question dataset

authors: Zhang, Zijing

subjects: Deep Learning

abstract: This thesis aims to develop an efficient question generator for an automated tutoring system. Given a context passage with an answer, the question generator asks questions to help the reader learn new material. By utilizing the BERT model, this thesis experiments on generating type-specific questions with a cue word. This thesis also uses an RNN encoder-decoder architecture for question generation on SQuAD as a comparative baseline and fine-tune the BERT question generation model on Google's Natural Question dataset. Ultimately, I deliver a RESTful API by the end of this year-long master program.

text: Cue word guided question generation with BERT model fine-tuned on natural question dataset This thesis aims to develop an efficient question generator for an automated tutoring system. Given a context passage with an answer, the question generator asks questions to help the reader learn new material. By utilizing the BERT model, this thesis experiments on generating type-specific questions with a cue word. This thesis also uses an RNN encoder-decoder architecture for question generation on SQuAD as a comparative baseline and fine-tune the BERT question generation model on Google's Natural Question dataset. Ultimately, I deliver a RESTful API by the end of this year-long master program.

year: 2020

title: Boat electrofishing survey of fish abundance in the Ohau Channel, Rotorua, in 2016

authors: Hicks, Brendan J.

abstract: The aim of the survey was to provide on-going monitoring of the fish communities and abundance by boat electrofishing in the Ohau Channel, especially fish species that are taonga to Maori (tuna, or eels, morihana, or goldfish, and kōura, or freshwater crayfish). In the current study, we present the findings from the tenth year of sampling (2016) and a summary of previous surveys.

text: Boat electrofishing survey of fish abundance in the Ohau Channel, Rotorua, in 2016 The aim of the survey was to provide on-going monitoring of the fish communities and abundance by boat electrofishing in the Ohau Channel, especially fish species that are taonga to Maori (tuna, or eels, morihana, or goldfish, and kōura, or freshwater crayfish). In the current study, we present the findings from the tenth year of sampling (2016) and a summary of previous surveys.

year: 2017