High resolution genome wide binding event finding and motif discovery reveals transcription factor spatial binding constraints. by Yuchun Guo, Shaun Mahony, David K Gifford

“…To discover novel transcription factor spatial binding constraints in vivo, we developed a new integrative computational method, genome wide event finding and motif discovery (GEM). …”
Get full text

Probabilistic transmission models incorporating sequencing data for healthcare-associated Clostridioides difficile outperform heuristic rules and identify strain-specific differenc... by David W Eyre, Mirjam Laager, A Sarah Walker, Ben S Cooper, Daniel J Wilson, CDC Modeling Infectious Diseases in Healthcare Program (MInD-Healthcare)

Get full text

Transcriptional regulation of lineage commitment--a stochastic model of cell fate decisions. by Jose Teles, Cristina Pina, Patrik Edén, Mattias Ohlsson, Tariq Enver, Carsten Peterson

“…Of considerable interest is also whether commitment involves a limited set of genes or the entire transcriptional program, and to what extent gene expression configures multiple trajectories into commitment. …”
Get full text

Leveraging deep learning technology for enhancing printing press quality by Omotunde Alabi Muyiwa, B.H. Adejumo

Get full text

Successful cardiac resynchronization therapy reduces negative septal work in patient-specific models of dyssynchronous heart failure. by Amanda Craine, Adarsh Krishnamurthy, Christopher T Villongco, Kevin Vincent, David E Krummen, Sanjiv M Narayan, Roy C P Kerckhoffs, Jeffrey H Omens, Francisco Contijoch, Andrew D McCulloch

“…To increase clinical translatability, we also explored whether streamlined computational methods provide accurate estimates of regional myocardial work. …”
Get full text

Reconfigurable optoelectronic neuromorphic properties of MoS2-based memristors decorated with Pt nanoparticles for low power spiking neural network applications by Chrysi Panagopoulou, Panagiotis Bousoulas, Georgia Iliani Papouli, Maria Kainourgiaki, Charalampos Tsioustas, Maria Karnachoriti, Athanassios G Kontos, Dimitris Tsoukalas

“…In parallel, their layered structure can be leveraged to optically program the device and further reduce power consumption. …”
Get full text

A regression based approach to phylogenetic reconstruction from multi-sample bulk DNA sequencing of tumors. by Henri Schmidt, Benjamin J Raphael

“…This algorithm has both asymptotic and empirical improvements over linear programming (LP) approaches to the problem. Using our algorithm for this regression sub-problem, we develop fastBE, a simple method for phylogenetic inference from multi-sample bulk DNA sequencing data. …”
Get full text

Alterations of the interactome of Bcl-2 proteins in breast cancer at the transcriptional, mutational and structural level. by Simon Mathis Kønig, Vendela Rissler, Thilde Terkelsen, Matteo Lambrughi, Elena Papaleo

Get full text

Do more with less: Exploring semi-supervised learning for geological image classification by Hisham I. Mamode, Gary J. Hampson, Cédric M. John

Get full text

Controlling and Protecting Windows Applications by Analyzing and Manipulating PE File Format by Rawaa Qasha, Zaid Monther

“…Also it includes analyzing the structure of PE file and comparing a specified part from PE with a same part from common viruses file, this process offers a good way to detect malicious programs and viruses in the computer by saving viruses signatures in a specified file and scanning all PE files. …”
Get full text

Kajian Penggunaan Aplikasi Android Sebagai Platform Untuk Menghitung Indeks Massa Tubuh (IMT) by Lathifah Hanum, Dwiny Meidelfi, Aldo Erianda

Get full text

A Comparative Study between Traditional Learning and Virtual Learning (Design a Virtual Learning System) by Maisireem Al-Sayeg

“…Virtual learning is an essential source of growth in scientific in recent years by standing in the basis of many of the virtual learning programs. In this research virtual learning program has been designed (geographical for First primary school) as the first building block in opening electronic and virtual schools in Iraq to play a role in changing the mechanisms of education and teaching methods, which facilitated the use of modern techniques of voice and image programs and databases to provide classes in School anywhere in the world, for a study out of school  is necessary in the educational process.             …”
Get full text

Can We Enhance Respectful Behaviors toward Parents with Gamification? An Observational Study of Gamification Elements and Child Attitudes toward Parents by Enas Sarour, Arwa Allinjawi, Sara Alyahiwi, Ola Albeshri

Get full text

Energy Cost of Running Under Hypogravity in Well-Trained Runners and Triathletes: A Biomechanical Perspective by Ueberschär O., Fleckenstein D., Warschun F., Walter N., Wüstenfeld J. C., Wolfarth B., Hoppe M. W.

Get full text

A Deep Learning Model Leveraging Time-Series System Call Data to Detect Malware Attacks in Virtual Machines by A. Alfred Raja Melvin, Jaspher W. Kathrine, Andrew Jeyabose, D. Cenitta

“…This research proposes deploying an Intrusion Detection System (IDS) at the Hypervisor layer, utilizing time series system call data and employing a Convolutional Neural Network (CNN) model to accurately detect the presence of malicious (malware) computer programs within virtual machines. The raw VMM system call traces are transformed into novel Time Series System Call patterns and utilized by a deep learning algorithm for training and building the classifier model. …”
Get full text

A Talent Cultivation and Performance Evaluation Model Based on a Fuzzy Control Algorithm by Shanshan Jiang

Get full text

Entrepreneurial Skill Augmented Neural Network (ESANN): A Deep Learning Approach for Enhancing Entrepreneurial Competencies in Teachers by Jian Li

Get full text

Using Kernel Estimator and K-Mean Clustering Approach to Hand Gesture Recognition by Ban Mitras, AAlA Mohammed

Get full text

Using Predictor-Corrector Methods for Numerical Solution of System of Non-linear Volterra Integral Equations of Second Kind by Borhan Jumaa, Abbas Taqi

Get full text

Parallel Simplex Method Improvements by Bashir Salih, Muhammad Ali

“…The aim of the project is to develop parallel approaches for both the simplex that are used in linear programming to solve linear module systems. Most of these models are time consuming when executed and processed in the sequential microprocessor computers. …”
Get full text