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3,339 result(s) for "Thunder."
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Labour at the Lakehead : ethnicity, socialism, and politics, 1900-35
In the early twentieth century, the Canadian Lakehead was known as a breeding ground for revolution, a place where harsh conditions in dockyards, lumber mills, and railway yards drove immigrants into radical labour politics. This intensely engaging history reasserts Northwestern Ontario's rightful reputation as a birthplace of leftism in Canada by exposing the conditions that gave rise to an array of left-wing organizations, including the Communist Party, the One Big Union, and the Industrial Workers of the World. Yet, as Michel Beaulieu shows, the circumstances and actions of Lakehead labour, especially those related to ideology, ethnicity, and personality were complex; they simultaneously empowered and fettered workers in their struggles against the shackles of capitalism. Cultural ties helped bring left-wing ideas to Canada but, as each group developed a distinctive vocabulary of socialism, Anglo-Celtic workers defended their privileges against Finns, Ukrainians, and Italians. At the Lakehead, ethnic difference often outweighed class solidarity -- at the cost of a stronger labour movement for Canada.
Labour at the Lakehead : ethnicity, socialism, and politics, 1900-35
This book explores the early years of leftism in Canada through the prism of ethnicity and a dynamic yet divided community in northern Ontario.
Labour at the Lakehead
Cover -- Title Page -- Contents -- Illustrations -- Acknowledgments -- Abbreviations -- Introduction -- Part 1: The Roots of Revolution? -- 1 Early Socialist Organizations at the Lakehead -- 2 Repression, Revitalization, and Revolutions -- Part 2: From Winnipeg to the Workers' Unity League -- 3 \"The Hog Only Harms Himself if He Topples His Trough -- 4 \"Into the Masses! -- 5 Bolshevization and the Reorganization of the Lakehead Left -- 6 Turning to the Left -- Part 3: The Great Depression and the Third Period -- 7 \"Class against Class -- 8 Wobbly Relations -- Epilogue -- Notes -- Bibliography -- Index.
Catching Thunder : the true story of the world's longest sea chase
December, 2014: In the forbidding waters off Antarctica, Captain Hammarstedt of the Bob Barker sets off on a voyage unlike any seen before. Across ten thousand miles of hazardous seas, Hammarstedt's crew will relentlessly pursue the Thunder - an infamous illegal fishing ship - for what will become the longest chase in maritime history. Wanted by Interpol, the Thunder has for years evaded justice: hunting endangered species and accumulating millions in profits.
A Two-Spirit Journey
A Two-Spirit Journey is Ma-Nee Chacaby's extraordinary account of her life as an Ojibwa-Cree lesbian. Chacaby's story is one of enduring and ultimately overcoming the social, economic, and health legacies of colonialism.
The Development of the Thunder God’s Image from the Tang to the Song Dynasty: The Case of Deng Bowen
Belief in the Thunder God has been important in China since ancient times. During the Tang Dynasty (618–906), the Thunder God was personified and incorporated into official rituals. Due to the increasing presence of Tantric Buddhism in China during the Tang Dynasty, in Daoism (particularly the Divine Empyrean lineage 神霄派), several Thunder Gods formed a military organization, among which Deng Bowen (鄧伯溫) was considered as a marshal who largely preserved the characteristics of the Thunder God from the Tang Dynasty, featuring traits of a half-human and half-bird. This study focuses on interreligious influences and aims to elucidate the logic that informs the evolution of the Chinese Thunder God’s image through Deng Bowen’s case. Through the analyses of iconography and text analysis, this study discusses how Deng’s image was blended with the image of the Hindu deity Garuda (迦樓羅), which was introduced to China during the Tang Dynasty through Tantric Buddhism. This study will also explore how Deng’s image evolved from before the Tang Dynasty to the period after the Song Dynasty and will indicate that the Tang Dynasty was a significant period for the development of Thunder God worship as well as its iconography.
Why indigenous literatures matter
Part survey of the field of Indigenous literary studies, part cultural history, and part literary polemic, Why Indigenous Literatures Matter asserts the vital significance of literary expression to the political, creative, and intellectual efforts of Indigenous peoples today. In considering the connections between literature and lived experience, this book contemplates four key questions at the heart of Indigenous kinship traditions: How do we learn to be human? How do we become good relatives? How do we become good ancestors? How do we learn to live together? Blending personal narrative and broader historical and cultural analysis with close readings of key creative and critical texts, Justice argues that Indigenous writers engage with these questions in part to challenge settler-colonial policies and practices that have targeted Indigenous connections to land, history, family, and self. More importantly, Indigenous writers imaginatively engage the many ways that communities and individuals have sought to nurture these relationships and project them into the future. This provocative volume challenges readers to critically consider and rethink their assumptions about Indigenous literature, history, and politics while never forgetting the emotional connections of our shared humanity and the power of story to effect personal and social change. Written with a generalist reader firmly in mind, but addressing issues of interest to specialists in the field, this book welcomes new audiences to Indigenous literary studies while offering more seasoned readers a renewed appreciation for these transformative literary traditions. Awarded the NAISA Award Best Subsequent Book, 2018, PROSE Award, 2019, and shortlisted for ACQL Gabrielle Roy Prize for Literary Criticism, 2018.
Wilforine inhibits rheumatoid arthritis pathology through the Wnt11/beta-catenin signaling pathway axis
Wilforine (WFR) is a monomeric compound of the anti-RA plant Tripterygium wilfordii Hook. f. (TwHF). Whether WFR has anti-RA effect, its molecular mechanism has not been elucidated. Our study aims to clarify how WFR inhibits fibroblast-like synovial cells (FLS) activation and improves RA through Wnt11 action on the Wnt11/[beta]-catenin signaling pathway. The therapeutic effect of WFR on collagen-induced arthritis (CIA) rats was evaluated using methods such as rat arthritis score. The inhibitory effects and signaling pathways of WFR on the proliferation and inflammatory response of CIA FLS and RA FLS were studied using ELISA, CCK-8, RT-qPCR, Western blot, and immunofluorescence methods. WFR could effectively alleviate the arthritis symptoms of CIA rats; reduce the levels of IL-6, IL-1[beta], and TNF-[alpha] in the peripheral blood of CIA rats; and inhibit the expression of MMP3 and fibronectin. The data showed that WFR has a significant inhibitory effect on FLS proliferation. Furthermore, WFR inhibited the activation of Wnt/[beta]-catenin signaling pathway and decreased the expression of Wnt11, [beta]-catenin, CCND1, GSK-3[beta], and c-Myc, while the effects of WFR were reversed after overexpression of Wnt11. WFR improves RA by inhibiting the Wnt11/[beta]-catenin signaling pathway, and Wnt11 is the direct target of WFR. This study provides a new molecular mechanism for WFR to improve RA and contributes to the clinical promotion of WFR.
Application of Combined Filtering in Thunder Recognition
Thunder recognition is of great interest in lightning detection and physics and is widely used in short-range lightning location. However, due to the complexity of thunder, any single filtering method that is used in traditional speech noise reduction technology cannot identify well thunder from complicated background noise. In this study, the impact of four different filters on thunder recognition is compared, including low-pass filtering, least-mean-square adaptive filtering, spectral subtraction filtering, and Wiener filtering. The original acoustic signal and that filtered using different techniques are applied to a convolutional neural network, in which the thunder and background noise are classified. The results indicate that a combination of spectral subtraction and a low-pass filter performs the best in thunder recognition. The signal-to-noise ratio can be significantly improved, and the accuracy of thunder recognition (93.18%) can be improved by 3.8–18.6% after the acoustic signal is filtered using the combined filtering method. In addition, after filtering, the endpoints of a thunder signal can be better identified using the frequency domain sub-band variance algorithm.