Book Lists

Best Selling Books by Neil Christopher

Neil Christopher is the author of Kappianaqtut (2011), The Orphan and the Giant (2020), Arctic Little Folk (2015), Mia and the Monsters: Staying Warm in the Winter (English/Inuktitut) (2019), Tuutarjuk (2026).

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Kappianaqtut

release date: Jan 01, 2011
Kappianaqtut
Kappianaqtut provides readers with an in-depth academic examination of two mythological creatures from Inuit mythology.

The Orphan and the Giant

release date: Oct 01, 2020
The Orphan and the Giant
The little orphan is on a journey to find a home. On this adventure, he comes across a huge surprise! Follow the orphan as he continues to travel across the land, meeting a friendly giant along the way.

Mia and the Monsters: Staying Warm in the Winter (English/Inuktitut)

release date: Feb 05, 2019
Mia and the Monsters: Staying Warm in the Winter (English/Inuktitut)
Featured on Anaana''s Tent on APTN!What do Mia and her monster friends wear to stay warm?Watch as Mia and the monsters get ready to play outside in the snow.

Tuutarjuk

release date: Nov 17, 2026
Tuutarjuk
Nyla''s grandmother warns her that children who play string games when they are not supposed to are at risk of meeting Tuutarjuk, the creature from Inuit stories that challenges children to string games--and carries them off if they don''t win. What will happen when it appears in her tent one night?

Ukaliq and Kalla Go Summer Camping

release date: Oct 01, 2019
Ukaliq and Kalla Go Summer Camping
Ukaliq and Kalla are going camping! Can you help find things for their trip? In this search-and-find book, children are encouraged to find objects hidden in different scenes.

Siku and Kamik Go to School

release date: Sep 03, 2024
Siku and Kamik Go to School
Featured on Anaana''s Tent! Siku and Kamik are good dogs. They want to go to school just like you! With this fun book, children will be encouraged to follow a simple story with the help of supportive illustrations.

The Seventh Marquess of Londonderry

release date: Jan 01, 2002

An Evaluative Study of Attitudes to Taking Part in Clinical Trials

release date: Jan 01, 2004

The Effects of Large Scale Ionospheric Gradients on H.F. Direction Finding at High Latitudes

release date: Jan 01, 2000

Internet-based Smoking Cessation

release date: Jan 01, 2011
Internet-based Smoking Cessation
Quitting smoking is a major problem for many people all over the world. Each year, thousands of people attempt to quit untreated, but only 3% to 5% maintain abstinence for six to 12 months after a given quit attempt. When treated, the success rate increases to a range of 13% to 36%. The people who are not successful often get discouraged, which can make it even harder for them to quit. This study examined the effectiveness of a program using an Internet-based delivery system (www.smokefade.com), based on the gradual reduction approach used in Project SCRAP-Tobacco, which employed both cognitive-behavioral therapy (CBT) and motivational interviewing (MI) approaches to reduce smoking behavior. A total of 73 California smokers were recruited from the student population at San Diego State University (SDSU) for this test of a self-administered, Internet-based program. Smokers, who received class research credit for participating, were randomly assigned to either 28-day CBT/MI treatment or a self-report control condition. Initially, website failure caused complications; there was simultaneous implementation of control and experiment conditions. However, this error was rectified with manual implementation of the control condition. Cigarette consumption and motivation levels were recorded at baseline and daily in both conditions. Participants in the experiment condition received daily, automated emails that employed MI and CBT techniques to encourage gradual smoking reductions and increase non-smoking self-efficacy. Per-week totals of cigarette consumption over 4 weeks were compared using a mixed-model ANOVA for analysis. Participants in the CBT/MI condition showed a steady and significant decline in consumption over the 4-week intervention period: on average, 1.85 cigarettes per week. Conversely, participants in the control condition showed no reduction in cigarette consumption over the 28-day period. It is expected that participants who continue to use the techniques learned via the experiment condition would be able to exhibit greater control over their smoking behavior and would have more success at cutting back, quitting, and maintaining this change. Overall, the results of this research suggest smokefade.com has the potential to be a useful tool for individuals interested in quitting smoking.

Beyond the Adiabatic Model for the Elastic Scattering of Composite Nuclei

release date: Jan 01, 2001

Auditory-information Processing and Cerebral Lateralization to Verbal Stimuli in Down's Syndrome and Normal Controls

Ukaliq and Kalla Travel on the Ice (Inuinnaqtun)

release date: Jun 01, 2020
Ukaliq and Kalla Travel on the Ice (Inuinnaqtun)
Can you help Ukaliq and Kalla find things on their camping trip?In this search-and-Find book, children are encouraged to find objects hidden in different scenes.

An Analysis of Virtual Place Learning/navigation in Children and Young Adults Prenatally Exposed to Alcohol

release date: Jan 01, 2016
An Analysis of Virtual Place Learning/navigation in Children and Young Adults Prenatally Exposed to Alcohol
Right hippocampal volume was shown to be a mediator of the relation between FASD/prenatal alcohol exposure and virtual water maze performance. Testosterone was not related to virtual water maze performance. These data demonstrate that virtual water maze performance is sensitive to the effects of heavy prenatal alcohol exposure. Furthermore, impairments on this task may be due to fetal alcohol-related damage in the hippocampus.

A Molecular Analysis of Hyaluronate Lyase Production in Streptococcus Pneumoniae

release date: Jan 01, 2000

Computational Tools for High-throughput Discovery in Biology

release date: Jan 01, 2007
Computational Tools for High-throughput Discovery in Biology
Finally, we present a framework for application scheduling that is specifically targeted at computational scientists. This framework allows for the selection of scheduling objective function, but generally aims at dependability over speed because of the inherent need for reproducibility of results.
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