Harvard mathematician answers 150-year-old chess problem

Credit: CC0 Public Domain The queen is the most powerful piece on the chessboard. Unlike any other (including the king), it can move any number of squares vertically, horizontally, or diagonally. Now consider this queen’s gambit: If you put eight of them on a standard board of eight squares by eight squares, how many ways… Continue reading Harvard mathematician answers 150-year-old chess problem

Thermodynamic mechanism of the density and compressibility anomalies of water in the range − 30 

If the thermal equilibrium state changes, the structure of the water molecule should change in addition to the changes in the coordination and orientation of the water molecule. Therefore, the interactions between water molecules should change constantly with changes in thermal equilibrium. The shapes of the interactions between water molecule changes with the temperature because… Continue reading Thermodynamic mechanism of the density and compressibility anomalies of water in the range − 30 

An age-structured model of hepatitis B viral infection highlights the potential of different therapeutic strategies

Model derivation In order to analyse HBV infection dynamics with emphasis on  the roles of the immune response, we developed a detailed intercellular age-structured model of HBV infection. This model includes uninfected target cells, T(t), which are assumed to be created at rate \(\lambda\) and to die at a rate d18,20. Each individual infected cell… Continue reading An age-structured model of hepatitis B viral infection highlights the potential of different therapeutic strategies

AI-based atomic force microscopy image analysis allows to predict electrochemical impedance spectra of defects in tethered bilayer membranes

Defect detection with convolutional neural network To perform the actual defect detection experiments using AFM image data a convolutional neural network (CNN) model was chosen as the current state-of-the-art approach for object detection tasks. Specifically, we used a popular SSD FPN architecture object detector26 implementing a two-stage object detection approach, where the candidate locations of… Continue reading AI-based atomic force microscopy image analysis allows to predict electrochemical impedance spectra of defects in tethered bilayer membranes

An explainable machine learning-based clinical decision support system for prediction of gestational diabetes mellitus

Study design and data This research is a secondary analysis of the Pregnancy Exercise and Nutrition with smart phone application support (PEARS) study (ISRCTN29316280), a randomised controlled trial carried out at the National Maternity Hospital (NMH), Dublin, Ireland between 2013 and 201627. The study was approved by ethical committee of National Maternity Hospital. All methods… Continue reading An explainable machine learning-based clinical decision support system for prediction of gestational diabetes mellitus

Simulator acceleration and inverse design of fin field-effect transistors using machine learning

Data preprocessing with log reciprocal normalization The input and output samples used for training and testing the proposed methods were generated using a FinFET simulator constructed with FlexPDE. The FinFET simulator was developed to calculate the device parameter of a given FinFET design. The four design parameters of the FinFET device include the channel top… Continue reading Simulator acceleration and inverse design of fin field-effect transistors using machine learning

SPHARM-PDM based image preprocessing pipeline for quantitative morphometric analysis (QMA) for in situ joint assessment in rabbit and rat models

Animals and microCT scan protocols Datasets were obtained from previous studies of intact ex vivo joints from rat12 and rabbit11and are described in detail in the respective publications. The rat dataset consists of microCT scans (SCANCO Medical AG, Brüttisellen, Switzerland) of 21 tibio-femoral joints from 11 age-matched, Wistar rats. With a typical medial–lateral width of… Continue reading SPHARM-PDM based image preprocessing pipeline for quantitative morphometric analysis (QMA) for in situ joint assessment in rabbit and rat models

User experience of home-based AbC-19 SARS-CoV-2 antibody rapid lateral flow immunoassay test

Characteristics of study participants There were 264 individuals participated in the study and the characteristics of the participants are provided in Table 1, which presents the proportion of participants in gender, age, education and ethnicity. The histograms of age distribution (for male and female) are presented as in Fig. 4a. It is noticed that female participants were… Continue reading User experience of home-based AbC-19 SARS-CoV-2 antibody rapid lateral flow immunoassay test

Context is key: normalization as a novel approach to sport specific preprocessing of KPI’s for match analysis in soccer

The aim of the study was to outline the importance of incorporating domain specific knowledge while analyzing KPI’s in soccer using preprocessing (Feature Engineering). The study outlined one such normalization technique to obtain, out of possession defensive KPI’s (NormDefensiveKPIs) based on previous findings10. It was observed that the model built using a GBM algorithm consisting… Continue reading Context is key: normalization as a novel approach to sport specific preprocessing of KPI’s for match analysis in soccer