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Powder Metallurgy: for Automotive and Engineering Industries discusses current status and future potential of powder metallurgy in the USA, Europe, Asia and India, and suggests that the technological advances for the growth of powder metallurgy is linked with the global automotive vehicle production. A large number of powder metallurgy applications in automotive industry including synchronizer systems and connecting rods and future potential alongwith recent developments in CNC compaction and comparison of sintering technologies under the aspect of economy and quality are covered in the book. Articles on special atomization and energy saving technologies for metal powder production which have great potential, structure and properties of super alloys, bronze powders, diamond tool binders, sintering of titanium-titanium nitride nano composite powders, aluminium-silicon carbide, molybdenum-silicon carbide, molybdenum-silicon nitride composite materials are also included in the book.

This paper focuses on the fact that the 2004–2005 conditionality review expands to include a review of the application of the new Guidelines on Conditionality, adopted in 2002. These guidelines were the culmination of a comprehensive and far-reaching review of conditionality that aimed to enhance the effectiveness of IMF-supported programs. They represented the first revision of the IMF’s conditionality guidelines since 1979, and were developed by the IMF after seeking input from civil society and public forums held in several countries. This review comes at an early stage of experience with the new guidelines, and further evidence will be needed before definite conclusions can be drawn. The ultimate test of conditionality is whether it contributes to better economic outcomes, including over the medium term, and these cannot yet be gauged. Moreover, although this review draws in part on case studies, no substitute exists for cross-country analysis for identifying broad trends, and at this stage such analysis is hampered by small sample sizes.

The 3-volume set LNAI 12712-12714 constitutes the proceedings of the 25th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2021, which was held during May 11-14, 2021. The 157 papers included in the proceedings were carefully reviewed and selected from a total of 628 submissions. They were organized in topical sections as follows: Part I: Applications of knowledge discovery and data mining of specialized data; Part II: Classical data mining; data mining theory and principles; recommender systems; and text analytics; Part III: Representation learning and embedding, and learning from data.

Dr.S.Peerbasha, Assistant Professor, Department of Computer Science, Jamal Mohamed College, Tiruchirappalli, Tamil Nadu, India. Mr.A.Basheer Ahamed, Assistant Professor, Department of Computer Science, Jamal Mohamed College, Tiruchirappalli, Tamil Nadu, India. Mr.P.Shivaathmajan, Student, B.Tech IT, Kumaraguru College of Technology, Coimbatore, Tamil Nadu, India. Dr.Pavithra.M, Assistant Professor, Department of Computer Science and Engineering, Jansons Institute of Technology, Karumathampatti, Coimbatore, Tamil Nadu, India. Dr.T.Suresh, Assistant Professor, Department of Artificial Intelligence Machine Learning, K.Ramakrishnan College of Engineering, Tiruchirappalli, Tamil Nadu, India.

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