
#ACL TRACKING BLUETOOTH#
COREInsight® locates your ULDs using Bluetooth technology. COREInsight's tags report to our global network of readers and let you know exactly when and where an individual ULD (or shipment) has arrived and departed. COREInsight® tracking has a proven track record of successfully reducing operating expenses and capital expenses.ĬOREInsight's technology is a new entrant in knowing where your ULD inventory is located in the worldwide transportation network.
#ACL TRACKING SOFTWARE#
This system provides the latest in Bluetooth tracking sensor technology with database software that provides complete visibility of your assets and which station they are located (inventory). Take Control You can take control of your ULDs with COREInsight®. Tagged ULDs effectively link freight and mail shipments to the ULD equipment which adds another dimension to automated shipment tracking without physical inventory. You now see, in real-time, the location of ULDs and relationally the cargo loaded on or inside them.
#ACL TRACKING UPDATE#
With a COREInsight tagged ULD supplemented with a suite of web based reports, a carrier can visually update their systems regarding allocation of the ULD as well as the shipments carried within the unit.

Keeping track of these assets can now be made easier and cheaper by tagging the ULD units using COREInsight®. The publisher and the editor(s) disclaim responsibility for any injury to persons or property resulting from any ideas, methods, instructions or products referred to in the content or advertisements.ACL Airshop provides COREInsight® Bluetooth ULD Tracking technology for cargo control and tagging of carrier shipments, air cargo management, asset tracking and reporting solutions.Īirlines worldwide have valuable assets in their Unit Load Devices (ULD), pallets, containers, as well as the cargo loaded in the ULD equipment. The appearance of advertisements or/and product references in the publication is not a warranty, endorsement, or approval of the products or services advertised or of their effectiveness, quality or safety. This is particularly important when the recommended agent is a new and/or infrequently employed drug.ĭisclaimer: The statements, opinions and data contained in this publication are solely those of the individual authors and contributors and not of the publishers and the editor(s). However, in view of ongoing research, changes in government regulations, and the constant flow of information relating to drug therapy and drug reactions, the reader is urged to check the package insert for each drug for any changes in indications and dosage and for added warnings and precautions.

No part of this publication may be translated into other languages, reproduced or utilized in any form or by any means, electronic or mechanical, including photocopying, recording, microcopying, or by any information storage and retrieval system, without permission in writing from the publisher.ĭrug Dosage: The authors and the publisher have exerted every effort to ensure that drug selection and dosage set forth in this text are in accord with current recommendations and practice at the time of publication. This review includes abundant high-quality images of the EEG patterns seen in premature infants and will provide a valuable resource for everyone working in developmental neuroscience.Ĭopyright: All rights reserved. The increasing survival rate of preterm infants, in particular those that are very and extremely preterm, has led to a growing demand for a specific and shared characterization of the patterns related to adverse outcome in this unique population. We outline the most common EEG biomarkers associated with these injuries, namely seizures, positive rolandic sharp waves, EEG suppression/increased interburst intervals, mechanical delta brush activity, and other deformed EEG waveforms, asymmetries, and asynchronies. EEG features of the most common developmental brain injuries in preterm infants, including intraventricular haemorrhage, periventricular leukomalacia, and perinatal asphyxia, are described. This review focuses on the role of electroencephalography (EEG) in monitoring abnormalities of preterm brain function.
