Technology Tales

Notes drawn from experiences in consumer and enterprise technology

15:08, 1st October 2019

What is a geometric mean?

The geometric mean is a statistical measure used to calculate the average of a set of positive numbers by taking the nth root of their product. It is often applied in contexts involving growth rates, financial returns or multiplicative processes, and is particularly useful when dealing with percentages or ratios, as it accounts for compounding effects such as those seen in calculating average annual growth rates for investments or populations.

Unlike the arithmetic mean, the geometric mean is derived from the logarithmic transformation of data, making it more appropriate for datasets spanning multiple orders of magnitude or where extreme values could distort results. It also has a physical interpretation in terms of volume, representing the side length of an n-dimensional cube with the same volume as a rectangular solid defined by the original numbers.

In statistics, the geometric mean is closely related to the log-normal distribution, which models phenomena involving the accumulation of small proportional changes. It is often preferred over the arithmetic mean in such cases due to its ability to handle skewed data more effectively.

19:21, 24th October 2017

Nature Reviews Drug Discovery

Published monthly, Nature Reviews Drug Discovery serves professionals across the drug discovery and development field, offering high-quality reviews, perspectives, news stories and summaries of key research alongside updates on new drug approvals, patent law and emerging industry trends. The journal covers a broad range of subjects, spanning target discovery and validation, high-throughput screening, medicinal chemistry, pharmacology, toxicology, drug delivery, biopharmaceuticals, biotechnology, vaccines, clinical trials, drug regulation and pharmacoeconomics, among others.

23:26, 22nd October 2017

Institute of Clinical Research

For over 40 years, the Institute of Clinical Research has served the clinical research community by providing training, networking opportunities and professional support. It works to define and refine standards within the profession, facilitate discussion of key issues affecting clinical research, and foster positive relationships with other healthcare-related groups. The Institute offers a broad range of training delivered by industry experts, hosts forums and special interest groups and provides members with access to a wider professional community and ongoing resources relevant to the clinical research field.

16:50, 10th March 2017

Here is an archive of CDISC terminology files used for validation purposes, covering three standard types: SDTM, SEND and ADaM. The files span a considerable range of dates, with SDTM and SEND terminology dating back to 2011 and ADaM files available from the same period, all provided in ODM XML format. It is worth noting that these terminologies are only compatible with Community versions 2.1.3 and 2.2.0, and will not function with version 3.0.0 or any later release.

18:21, 9th June 2016

PMDA New Drug Review with Electronic Data

The Pharmaceuticals and Medical Devices Agency outlines initiatives to enhance drug review processes through the use of electronic study data, emphasising the integration of advanced analytical methods and modelling techniques to improve evidence-based decision-making. These efforts aim to streamline regulatory submissions, reduce administrative burdens for sponsors, and support the development of updated guidelines that may increase the success rate of drug development.

The agency provides detailed guidance on electronic data submission, including revised notifications, validation rules and technical standards, with specific attention to the application of different data validation versions depending on submission timelines. Additionally, it highlights the transition away from requiring certain pre-submission forms for electronic data, while retaining their use for consultation purposes, alongside the implementation of specific software tools for data validation.

23:42, 25th October 2015

TIBCO offers a real-time, AI-enabled composable data platform designed to integrate applications, data and devices across diverse environments, including legacy, edge and multi-cloud systems. The platform supports integration, messaging, event processing and process automation, leveraging advanced analytics, vector databases and low-code tools to streamline development and enhance decision-making.

Features include AI-driven insights, copilots for application development and accelerators to simplify complex tasks, enabling users to build intelligent solutions with minimal coding. Organisations across a range of industries use the platform to achieve real-time data synchronisation, improve operational efficiency and drive innovation through secure, scalable technologies.

To support implementation and optimisation, TIBCO provides a library of resources including videos, downloadable materials and a glossary. These are intended to help users at varying levels of technical experience get the most from the platform.

23:36, 22nd October 2015

Navicat

PremiumSoft CyberTech offers a suite of database management and development tools under the Navicat brand, trusted by Fortune 500 companies. Its current product line up includes Navicat 17, which integrates AI capabilities and supports Snowflake for improved data visibility, alongside Navicat On-Prem Server 3.1, which provides secure, AI-enhanced management of MySQL, MariaDB and PostgreSQL databases for teams. Further offerings include Navicat Data Modeller 4 for data modelling, Navicat BI for visual data analysis and decision-making, and Navicat Monitor 3 for database infrastructure oversight, now extended to PostgreSQL. The company also provides free versions of select tools, including Navicat Premium Lite and Navicat Data Modeller Lite, as well as cloud-based collaboration features enabling teams to work together in real time.

02:40, 5th March 2015

List of ISO 639-1 Codes

ISO 639-1 is a standardised system for representing language codes, primarily used in digital contexts to identify languages uniquely. It assigns two-letter codes to languages, such as en for English and fr for French, facilitating consistent identification across software, databases and international communication.

The standard includes 183 officially assigned codes, with some deprecated due to changes in language classification or usage. It focuses on individual languages rather than language families or groups, which are addressed in other ISO 639 sets such as 639-2 and 639-3.

Its simplicity and brevity have made it widely adopted, though it occasionally faces criticism for not reflecting linguistic nuances or regional variations. The system is regularly updated to align with evolving language practices and technological needs.

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