2101 series

      The 2101 series has features including Plastic molded;High reliability; Low cost.The 2101 series has measurement including Q and L measured with leads connected directly;L min. measured with core halfway out of the top of the form;Inductance greater than 0.1uH read at recommended Q meter frequency;Inductance below 0.1uH calculated from readings taken at 50MHz.
      The information of 2101 series contained herein relates only to the specific material identified and is believed to be accurate and reliable by all those associated with Acrylabs, Inc. No representations, guarantee or warranty, expressed or implied, is made as to the accuracy, reliability, or completeness of the information provided. Users assume all risks associated with the use of the material and are advised to confirm in advance that the information contained in this MSDS is correct, applicable, and suitable to their circumstances. In accordance with the OSHA Federal Hazard Communication Standard, the actual percentages of ingredients have been omitted. 
      2101 series shown herein are not designed for use in medical, life-saving, or life-sustaining applications unless otherwise expressly indicated. Customers using or selling Vishay products not expressly indicated for use in such applications do so entirely at their own risk and agree to fully indemnify Vishay for any damages arising or resulting from such use or sale. Please contact authorized Vishay personnel to obtain written terms and conditions regarding products designed for such applications.This chapter discusses the projection results, in terms of population size and growth, and the changing age structure and distribution of the population. Three main series of projections, Series A, B and C, have been selected from a possible 72 individual combinations of the various assumptions. Series B largely reflects current trends in fertility, life expectancy at birth, net overseas migration and net interstate migration, whereas Series A and Series C are based on high and low assumptions for each of these variables respectively.
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