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Articles by Jack Dong
Long-Term Outcomes in Patients With Recurrent Ovarian Cancer and Exceptional Response to PARP Inhibitors
Long-Term Outcomes in Patients With Recurrent Ovarian Cancer and Exceptional Response to PARP Inhibitors Supplement 1. eTable 2. Electronic Database Questionnaire eTable 3. Second Primary Cancers eTable 4. Overview of Characteristics of BRCA1 and BRCA2 Pathogenic Variants Documented in Exceptional Responders eTable 5. Variant Characteristics for Exceptional Responders Compared to Those for PAOLA-1 Trial Participants eTable 6.
EHang Debuts EH216-S at Silicon Valley, Wows Tech Community with AAM Innovations
EHang hosting an exclusive Silicon Valley roadshow with EH216-S onsite EHang, the world’s leading UAM technology enterprise, announced that its flagship product, the EH216-S, made a surprise debut in Silicon Valley in USA EHang's breakthroughs in airworthiness certification and commercialization have set a replicable, referenceable success model for the global AAM industry.” — Conor Yang， CFO of EHang SAN JOSE, CA, UNITED STATES, November 12, 2025 /EINPresswire.com/ -- EHang made a...
merge a list of DataFrame
By Jack Dong Merging a list of pandas DataFrames into a single DataFrame can be accomplished using various techniques, depending on your specific needs. Here are the most common approaches: The simplest way to merge a list of DataFrames is by concatenating them either vertically (row-wise) or horizontally (column-wise) using the pd.concat() ...
How to use pandas to get the percentage value of a column within a group?
By Jack Dong To calculate the percentage value of a column within each group using pandas, you typically start by grouping the data based on one or more criteria and then calculate the percentage contribution of each item in the group to a summary statistic for that group (like sum, count, etc.). This is often done to understand the proportion or distribution of a quantity...
Basic Data Manipulation with NumPy
Most machine learning tasks start with data processing and preparation. Once you've gathered the relevant data, you need to process it and make sure that it is in a usable format for training a machine learning model. If the data you collect is poor quality or irrelevant, then the model you train will be poor quality as well. In this tutorial, we'll learn about using Numpy for data manipulation from scratch. Instead of going into theory, we'll take a practical approach.
Python Multiple Inheritance and MRO
Inheritance allows us to define a class that inherits all the methods and properties from another class. The parent class is the class being inherited from, also called the base class. The Child class is the class that inherits from another class, also called derived class. A child class can be derived from more than one parent class in Python. This is called multiple inheritance. For example, A class Dog is derived from parent classes Mammal and CanidaeAnimal.
Microservices Architecture From A to Z
Photo by Kevin Ku on Unsplash This article aims to discuss the microservices architecture from its definition to a concrete example. Plan: What is a microservices architecture? Advantages and disadvantages of a microservices architecture Orchestration vs Choreography Advice and good practices Proof of concept The following results were produced via various sources: scientific publications, articles, videos, documentations from large companies, etc.
Clayton Utz Fundamentals of Financial Crime 05: Payroll Schemes | Lexology
Deepak Pillai and Jack Dong explore why payroll process is a major source of expenditure for most organisations and becoming a lucrative target for fraud and misconduct – and what you can do to prevent it. Deepak Pillai: Payroll is usually a very large part of an organisation's expenditure. It's also an area that we've seen a lot of fraud being perpetrated. Jack, I just wanted to talk today about a couple of examples of fraud that I've seen occur through the payroll process.
Finding the enemy within: improving your internal audit with forensic data analytics
While internal audit can always review an organisation’s process and procedures, it cannot always detect the minor frauds – which is where forensic data analytics can play a vital role. One of the misconceptions around corporate fraud is that it’s perpetrated from the outside – that offshore cyber criminals, master hackers and internet gangs are using advanced technologies to wreak havoc on corporations and institutions from afar.
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