Pose Scoring and Minimization using Convolutional Neural Networks
In this work the usage of a Convolutional Neural Network (CNN) to predict the distance of an arbitrary ligand pose from the true binding pose of a protein-ligand complex is used.
In this work the usage of a Convolutional Neural Network (CNN) to predict the distance of an arbitrary ligand pose from the true binding pose of a protein-ligand complex is used.
This dissertation is primarily concerned with the arguments that are currently active in relation to the benefits and disadvantages of having either an active or passive third stage of labour.
This paper looks at the issues facing the European car industry with regard to environmental issues. This is done by looking at past and present published material that revolves around the subject matter under specified themes.
The objective of this research is to identify the factors that influence a person into making a decision to buy a certain brand of malt-based health drink.
This study presents the analysis of performance management issues on Marks and Spencer’s (M&S) employee motivation and training.
In this paper, we propose an unsupervised method which learns low-dimensional continuous vectors for transactions based on information of both singleton items and FIs.
The aim is to utilize the concept of machine learning and to build a model using ensemble algorithm which can be trained efficiently to detect malwares in a system.
This dissertation analyses the enduring relationship between architecture and textiles. Using textiles as a facilitator, the wider relationship between craft and architecture will be explored.
This project is to develop a very low power consumption and high-performance monitor that can log data regarding the location, well-being and health of the livestock to a cloud service using NB/IOT (Narrow band Internet of things).
A prototype design to provide a feasible text input option for touch devices that is not based on the poor design of the QWERTY keyboard.
The main purpose of this research is to investigate how the determinants of the capital structure (leverage) and the dividend payout policy impact the agency cost theory.
This dissertation uses global research to examine the forensic potential of entomotoxicology and proposes a standard protocol for entomotoxicological research in the UK
The aim of this study was to determine the content and structure of professional self-fulfilment and to develop a method for assessing this phenomenon.
This study focused on the use of traditional biochemical test and 16S rRNA molecular sequencing method to considerately evaluate the capacity that systems may facilitate the rapid and accurate identification of unknown bacteria.
The symbolic importance of geometrical shapes and the use of symmetry in the Imperial Thermae of Ancient Rome. Spaces of the Roman baths were designed to be appealing to the eye and to the mind to fulfil their functions both functionally and symbolically, and the use of symmetry together with elemental geometrical forms is essential in these spaces to aid the fulfilment of these functions.
Supply Chain Engineering: The goal of this paper is to determine if the job can be redesigned to reduce the number of CTD injuries, hence lowering both medical costs and missed workday for recovery. To gauge how
This dissertation aims to assess the major issues that determines the performance and efficiency of Indian restaurants in UK.
The writer will look at China’s potential superpower status using the neo-realist theory and its conceptual and methodological framework.
This study attempts to identify politeness strategies employed by authors in economic journal communities for both local and international economic journals.
The main objective of this study is to identify different contributing factors of job stress and to investigate levels of stress on those factors in the organization.

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