Celebrating Sorrow explores the medieval Japanese fascination with grief in tributes to The Tale of Sagoromo, the classic story of a young man whose unrequited love for his foster sister leads him into a succession of romantic tragedies as he rises to the imperial throne. Charo B. D'Etcheverry translates a selection of Sagoromo-themed works, highlighting the diversity of medieval Japanese creative practice and the persistent and varied influence of a beloved court tale. Medieval Japanese readers, fascinated by Sagoromo's sorrows and success, were inspired to retell his tale in stories, songs, poetry, and drama. By recontextualizing the tale's poems and writing new libretti, stories, and commentaries about the tale, these medieval aristocrats, warriors, and commoners expressed their competing concerns and ambitions during a chaotic period in Japanese history, as well as their shifting understandings of the tale itself. By translating these creative responses from an era of uncertainty and turmoil, Celebrating Sorrow shows the richness and enduring relevance of Japanese classical and medieval literature.

This book presents problems and solutions of the mathematical theories of thermoelasticity and magnetothermoelasticity. The classical, coupled and generalized theories are solved using the eigenvalue methodology. Different methods of numerical inversion of the Laplace transform are presented and their direct applications are illustrated. The book is very useful to those interested in continuum mechanics.

This book presents problems and solutions of the mathematical theories of thermoelasticity and magnetothermoelasticity. The classical, coupled and generalized theories are solved using the eigenvalue methodology. Different methods of numerical inversion of the Laplace transform are presented and their direct applications are illustrated. The book is very useful to those interested in continuum mechanics.

The soil, climate and other environmental factors of the North Eastern Himalayan region of India is suitable for cultivation of lemongrass and citronella. It can be introduced as an alternative in wastelands in this region especially Sikkim, which improves the soil health, increases productivity and checks the soil erosion resulting in sustainable development of the area.Aromatic plants are generally perceived to be hardy and suitable for cultivation in waste lands, marginal lands and problematic lands. Citronella and Lemon grass is an important crop in this respect. Sikkim, being an organic state, organic production of aromatic plants has to be market driven for it to be successful. The GC report proved the superiority of Himalayan lemongrass oil. In the process of crop diversification, vertical diversification in processing and value addition is of paramount importance.

The aromatic plant Pandanus tectorius Parkinson (=Pandanus fascicularis Lam.) popularly known as 'kia' or 'kewda' is an important coastal bio-resource that supports the socio-economy as well as ecology of Ganjam coast in Odisha. According to the World Check List of Selected Plant Families (www.theplantlist.org), the accepted name of this plant species is Pandanus odorifer (Forssk.) Kuntze under the genus Pandanus (family: Pandanaceae) having 65 synonyms that included P. fascicularis and P. tectorius. The genome of P. tectorius was analysed on bases of somatic chromosome complement, nuclear 4C DNA content and randomly amplified polymorphic DNA (RAPD) in relation to morphological variation, dioecism, and geographical distribution along the coastline of Odisha stretching a distance of 600 km. RAPD analysis could segregate plants from different populations on the basis of morphology, sex or locations. A few male-specific RAPD markers in plants specific to Gajam coast were identified. The findings pointed to the possible role of eco-geography augmenting micro-evolution of male plant genotypes of P. tectorius at Ganjam coast, Odisha that are known for high perfume quality and yield.

This monograph covers the topic of Wireless for Machine Learning (ML). Although the general intersection of ML and wireless communications is currently a prolific field of research that has already generated multiple publications, there is little review work on Wireless for ML. As data generation increasingly takes place on devices without a wired connection, ML related traffic will be ubiquitous in wireless networks. Research has shown that traditional wireless protocols are highly inefficient or unsustainable to support ML, which creates the need for new wireless communication methods. This monograph gives an exhaustive review of the state-of-the-art wireless methods that are specifically designed to support ML services over distributed datasets. Currently, there are two clear themes within the literature, analog over-the-air computation and digital radio resource management optimized for ML. A comprehensive introduction to these methods is presented, reviews are made of the most important works, open problems are highlighted and application scenarios are discussed.