*.csv (zip); *.xlsx (zip)

CT RECIST response, as measured by the change of tumor diameter, can accurately reflect objective response rate for advanced NSCLC patients. However, there exists obvious discordant between CT RECIST response and prognostic indicators. Thus, our study aimed to identify a new CT RECIST response indicator at the early treatment stage to reflect the prognosis more accurately.We studied 916 tumor lesions obtained through deep learning and found that the shape of the lesions was irregular.


With the continuous expansion of grid nodes, traditional centralized methods exhibit certain limitations in the amount of communication data and computational cost for state estimation. In the past few decades, distributed state estimation has been fully developed in Multi-area Power Systems (SG). According to different regions or electrical equipment, the SG is divided into several regional nodes, and each node can estimate the entire state of the SG through local sensor measurement information and neighbor state estimation information.


The rapid evolution of communication networks and the ever-increasing demand for efficient data transfer have led to the development of cognitive networking, which aims to enhance network performance through intelligent and adaptive protocols. To facilitate research and development in this domain, we present a comprehensive dataset detailing the parameters of a Network Protocol Stack which can be used to develop a Cognitive Network Protocol Stack designed for efficient networking.


This paper explores an original research work on multiband metallized-permittivity measurement method for copper-clad substrates based on bandpass (BP) negative group delay (NGD) ring circuit. The multiband permittivity extraction formula from NGD center frequency harmonics is established from S-parameter model. The BP-NGD function specifications of are defined. The BP-NGD ring resonator (RR) proof-of-concept (PoC) consists of linearly coupled loops implemented in microstrip technology.


The dataset consists of measurements of different stages of degradation in low-voltage contactors used for industrial purposes. The measurements were obtained with fiber Bragg grating (FBG) sensors that detect the dynamic deformation generated in switching under different load conditions and internal components. The posted dataset was preprocessed and separated into two different events. The signal is segmented and reduced from the original measurement (separated into opening and closing). Furthermore, two sets of measurements were obtained.


To illustrate the impact of the obstacles, we consider indoor and outdoor scenarios. We consider the Department of Computer Science and Engineering, IIT(BHU) buildings as indoor buildings and the railway platform as an outdoor scenario. Here, we use single-channel LG in our experiment. The distance between LNs and LG varies from 5 to 50 meters. The floor map illustrates the walls, doors, and windows between LNs and LG. We consider railway stations for the outdoor environment. The outdoor environment did not consist of obstacles between LNs and LG.


Spreadsheet to show error calculations for a new manuscript, "Error Checking Methodology to Verify PV Module Parameter Solutions," submitted to IEEE PV

Analysis of Kyocera KC200GT PV Module with datasheet and constant values in cells B3 to G5.  

Numerical solution parameter values from 20 sources are shown in cells B10 to G29. 

Calculations and error analysis with equations are shown in the spreadsheet.  See the manuscript for details


A dataset of Global Positioning System (GPS) spoofing attacks is presented in this article. This dataset includes data extracted from authentic GPS signals collected from different locationsto emulate a moving and a static autonomous vehicle using a universal software radio peripheral unit configured as a GPS receiver. During the data collection, 13 features are extracted from eight-parallel channels at different receiver stages (i.e., acquisition, tracking, and navigation decoding).


The provided dataset is created is created by using European Commission Rapid Alert System's data for Salmonella cases. The dataset composed by 5 variables and all data is providet in categorical format. it is possible to use the dataset predict the salmonella cases based on type of food, month, country and warmth.


This ZIP contains task-level CPU data for the streaming engines Apache Flink, Apache Spark Structured Streaming and Apache Spark Continous Processing.

This data was collected via our task-level performance benchmark: https://github.com/rankj/YSB-task-level