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"Hall, Steve"
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Hockey Hall of Fame book of players
\"Individual profiles, stories, stats and artifacts documenting the careers of the players enshrined in the Hockey Hall of Fame [Toronto, Ontario, Canada]\"-- Provided by publisher.
Book
Violent night : urban leisure and contemporary culture
Why do our night-time cities seem to mix pleasure with violence? This is the time and place when cities are taken over by young men in search of alcohol, drugs, another club or a fight. Current public policy has patently failed to keep on top of the new trends in both consumption and destruction which make urban centres simultaneously seductive and dangerous. Violent Night uses powerful insider accounts to uncover the underlying causes and meanings of violence. Interviews with the police, the perpetrators and the victims of violence reveal the complex emotions that surround both the perpetration and resolution of crime. Violent Night shows that a new approach is needed to successfully rehabilitate a culture struggling and failing to deal with nihilism and escalating hostility.
eBook
Improving nonalcoholic fatty liver disease classification performance with latent diffusion models
Integrating deep learning with clinical expertise holds great potential for addressing healthcare challenges and empowering medical professionals with improved diagnostic tools. However, the need for annotated medical images is often an obstacle to leveraging the full power of machine learning models. Our research demonstrates that by combining synthetic images, generated using diffusion models, with real images, we can enhance nonalcoholic fatty liver disease (NAFLD) classification performance even in low-data regime settings. We evaluate the quality of the synthetic images by comparing two metrics: Inception Score (IS) and Fréchet Inception Distance (FID), computed on diffusion- and generative adversarial network (GAN)-generated images. Our results show superior performance for the diffusion-generated images, with a maximum IS score of 1.90 compared to 1.67 for GANs, and a minimum FID score of 69.45 compared to 100.05 for GANs. Utilizing a partially frozen CNN backbone (EfficientNet v1), our synthetic augmentation method achieves a maximum image-level ROC AUC of 0.904 on a NAFLD prediction task.
Journal Article
A Comprehensive Review on Graphene Nanoparticles: Preparation, Properties, and Applications
Graphene, with its amazing prospects and nonpareil aspects, has enticed scientists and researchers all over the globe in a significant fashion. Graphene, the super material, endlessly demonstrates some of the substantial, as well as desired, mechanical, thermal, optical, and chemical characteristics which are just about to bring about an unprecedented transformation in the science and technology field. Being derived from graphite, graphene is made of one-atom-thick, two-dimensional carbon atoms arranged in a honeycomb lattice. This Nobel-prize-winning phenomenon includes properties that may result in a new dawn of technology. Graphene, the European Union’s (EU) largest pledged project, has been extensively researched since its discovery. Several stable procedures have been developed to produce graphene nanoparticles in laboratories worldwide. Consequently, miscellaneous applications and futuristic approaches in artificial intelligence (AI)-based technology, biomedical and nanomedicine, defence and tactics, desalination, and sports are ruling over the next generation’s fast-paced world and are making the existing market competitive and transformative. This review sheds light upon the ideology of the preparation and versatile application of graphene and foretells the upcoming advancements of graphene nanoparticles with the challenges rearing ahead. The study also considers graphene nanoparticles’ diverse fields and portends their sustainability with the possibility of their acceptance in the commercial market as well as in common usage.
Journal Article
Potassium and sodium microdomains in thin astroglial processes: A computational model study
A biophysical model that captures molecular homeostatic control of ions at the perisynaptic cradle (PsC) is of fundamental importance for understanding the interplay between astroglial and neuronal compartments. In this paper, we develop a multi-compartmental mathematical model which proposes a novel mechanism whereby the flow of cations in thin processes is restricted due to negatively charged membrane lipids which result in the formation of deep potential wells near the dipole heads. These wells restrict the flow of cations to \"hopping\" between adjacent wells as they transverse the process, and this surface retention of cations will be shown to give rise to the formation of potassium (K+) and sodium (Na+) microdomains at the PsC. We further propose that a K+ microdomain formed at the PsC, provides the driving force for the return of K+ to the extracellular space for uptake by the neurone, thereby preventing K+ undershoot. A slow decay of Na+ was also observed in our simulation after a period of glutamate stimulation which is in strong agreement with experimental observations. The pathological implications of microdomain formation during neuronal excitation are also discussed.
Journal Article
The Future of Sustainable Aviation Fuels, Challenges and Solutions
The widespread COVID-19 epidemic and political instability worldwide caused a significant transformation in the world’s fuel market [...]
Journal Article
Realist criminology and its discontents
Criminology moving beyond Left Realism and Critical Realism - criminologists' inability to explain and crucial issues facing society - problems with empiricism - need for ultra-realism - empirically observable events not revealing the deep dynamics of a criminal event - understanding the drives, processes and structure of crimes.
Journal Article
Effect of Annealing Temperature for Ni/AlOx/Pt RRAM Devices Fabricated with Solution-Based Dielectric
Resistive random access memory (RRAM) devices with Ni/AlOx/Pt-structure were manufactured by deposition of a solution-based aluminum oxide (AlOx) dielectric layer which was subsequently annealed at temperatures from 200 °C to 300 °C, in increments of 25 °C. The devices displayed typical bipolar resistive switching characteristics. Investigations were carried out on the effect of different annealing temperatures for associated RRAM devices to show that performance was correlated with changes of hydroxyl group concentration in the AlOx thin films. The annealing temperature of 250 °C was found to be optimal for the dielectric layer, exhibiting superior performance of the RRAM devices with the lowest operation voltage (<1.5 V), the highest ON/OFF ratio (>104), the narrowest resistance distribution, the longest retention time (>104 s) and the most endurance cycles (>150).
Journal Article