*.csv ; *.xlsx;

This study presents a English-Luganda parallel corpus comprising over 2,000 sentence pairs, focused on financial decision-making and products. The dataset draws from diverse sources, including social media platforms (TikTok comments and Twitter posts from authoritative accounts like Bank of Uganda and Capital Markets Uganda), as well as fintech blogs (Chipper Cash and Xeno). The corpus covers a range of financial topics, including bonds, loans, and unit trust funds, providing a comprehensive resource for financial language processing in both English and Luganda.

An experimental setup is developed in which shape memory alloy actuator is working againt a linear tension spring as a bias mechanism. The experimental data is collected via microcontroller-based embedded system for training and validation of a self-sensing approach for a shape memory alloy actuator. The provided dataset includes 'electrical power' in watt that is applied to actuate a spring-biased shape memory alloy actuator. measured 'electrical resistance' in ohm, resulting 'displacement' in mm and 'time' stamps in second.

The dataset is derived from sampling Modbus commands in RS485 fieldbus networks, where the communication baud rate is 9.6k bit/s and the sampling frequency is set to 100 KS/s. In the dataset, 2000 signals are stored as normal data and abnormal data based on different intrusion devices in .xlsx format, respectively, with a total size of 170 MB. In this dataset, the attack scenario is the unauthorized insertion of a silent intrusion device into the fieldbus, thereby eavesdropping communication data.

Health is a growing concern in modern society, and monitoring physiological indicators is an important part of maintaining health. Traditional health monitoring methods often require the use of contact sensors to monitor the human body, which is less convenient and comfortable, and often only measures relatively single physiological indicators, such as heart rate and blood oxygen. Traditional monitoring methods require complex instrumentation and sampling processes that require manual intervention, which is impractical for routine testing.

The recognition of woven fabrics through image processing has a high value in preserving cultural heritage and assisting in identifying and classifying traditional textile products. To this end, this study proposes an approach that utilizes a Decision Tree (DT) to recognize images of woven fabrics typical of East Nusa Tenggara. DT's effectiveness in high-dimensional data classification makes it an ideal tool for modeling unique patterns in woven fabric drawings.

The prognostic survival dataset, Pancreatic Cancer Survival based on Preoperative Features (PCSPF), was constructed to explore the impact of key preoperative features on prognosis based on the follow-up data of patients with pancreatic cancer at Changhai Hospital, Shanghai, China.

Acute myocardial infarction (AMI) is the main cause of death in developed and developing countries. AMI is a serious medical problem that necessitates hospitalization and sometimes results in death. Patients hospitalized in the emergency department (ED) should therefore receive an immediate diagnosis and treatment. Many studies have been conducted on the prognosis of AMI with hemogram parameters. However, no study has investigated potential hemogram parameters for the diagnosis of AMI using an interpretable artificial intelligence-based clinical approach.

Heating in a building involves generating and distributing heat to maintain a comfortable indoor temperature. Here's an overview of how heating works in a building:

1. **Heat Generation**:

   - A heat source, such as a boiler, furnace, or electric heating element, produces heat energy. This source is typically fueled by natural gas, oil, electricity, or another energy source.

2. **Heat Transfer**:

Please cite the following paper when using this dataset:

N. Thakur, K. A. Patel, I. Hall, Y. N. Duggal, and S. Cui, “A Dataset of Search Interests related to Disease X originating from different Geographic Regions”, Preprints 2023, 2023081701, DOI: https://doi.org/10.20944/preprints202308.1701.v1

Abstract:

This dataset contains the data analyzed after extracting and processing information from several scientific articles related to the application of the autonomic paradigm to the orchestration and management of telecommunication networks. The dataset is composed of three excel files. The file "SLRPaperRawData.xlsx" contains the information extracted after reading the articles selected for the survey on "A Survey on the Autonomic Paradigm for Network Management and Orchestration".