DR-NTU (Data) (Nanyang Technological University)
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Scientific Debate on Human Migration: Ethics, Challenges, and Solutions
No full textMATLAB scripts for simulating biological invasion and human migration scenarios on a star network
Replication Data for: Persistent spectral based ensemble learning (PerSpect-EL) for protein-protein binding affinity prediction
No full textProtein–protein interactions (PPIs) play a significant role in nearly all cellular and biological activities. Data-driven machine learning models have demonstrated great power in PPIs. However, the design of efficient molecular featurization poses a great challenge for all learning models for PPIs. Here, we propose persistent spectral (PerSpect) based PPI representation and featurization, and PerSpect-based ensemble learning (PerSpect-EL) models for PPI binding affinity prediction, for the first time. In our model, a sequence of Hodge (or combinatorial) Laplacian (HL) matrices at various different scales are generated from a specially designed filtration process. PerSpect attributes, which are statistical and combinatorial properties of spectrum information from these HL matrices, are used as features for PPI characterization. Each PerSpect attribute is input into a 1D convolutional neural network (CNN), and these CNN networks are stacked together in our PerSpect-based ensemble learning models. We systematically test our model on the two most commonly used datasets, i.e. SKEMPI and AB-Bind. It has been found that our model can achieve state-of-the-art results and outperform all existing models to the best of our knowledge
Systematic Review Data: Evaluating the quality of evidence for Cognitive Behavioural Therapy (CBT) interventions, with or without pharmacotherapy, for children with selective mutism aged 4 to 10 years old
No full textSystematic Review Data. Systematic review conducted as part of Undergraduate Final Year Project at NTU (Academic Year: 2022-23) The primary objective of this systematic review is to evaluate the quality of evidence supporting CBT treatment, with or without pharmacotherapy, for selective mutism in young children aged 4 to 10 years old. This review also aims to evaluate the quality of evidence for CBT conducted with pharmacotherapy in relation to treatment schedule. The updated preregistration documents include refinements to the search protocol after piloting, as well as clarifications to some data items allow inclusion of case studies and small sample reports in the qualitative synthesis of evidence, to align more closely with the Cochrane Risk of Bias Tool, and clarify the interpretation of some data items. The Preregistration documents for this project are archived here:
Ng, Zeming B; Hassan, Atikah; Dun, Yawen; Styles, Suzy J, 2022, "Preregistration Documents: Evaluating the quality of evidence for Cognitive Behavioural Therapy (CBT) interventions, with or without pharmacotherapy, for children with selective mutism aged 4 to 10 years old", https://doi.org/10.21979/N9/11BTB5, DR-NTU (Data), V
Replication Data for: Smart Scissor: Coupling Spatial Redundancy Reduction and CNN Compression for Embedded Hardware
No full textThis dataset is created to store the related data of the following published paper:
Hao Kong, Di Liu, Shuo Huai, Xiangzhong Luo, Weichen Liu*, Ravi Subramaniam, Christian Makaya, Qian Lin, “Smart Scissor: Coupling Spatial Redundancy Reduction and CNN Compression for Embedded Hardware”, ACM/IEEE International Conference on Computer-Aided Design (ICCAD), 2022
Ultralow Threshold Polariton Condensate in a Monolayer Semiconductor Microcavity at Room Temperature
No full textDataset for Ultralow Threshold Polariton Condensate in a Monolayer Semiconductor Microcavity at Room Temperatur
Replication Data for: Crossbar-Aligned & Integer-Only Neural Network Compression for Efficient In-Memory Acceleration
No full textCodes for "Crossbar-Aligned & Integer-Only Neural Network Compression for Efficient In-Memory Acceleration
Related Data for: Template-Sacrificing Synthesis of Well-Defined Asymmetrically Coordinated Single-Atom Catalysts for Highly Efficient CO2 Electrocatalytic Reduction
No full textTemplate-Sacrificing Synthesis of Well-Defined Asymmetrically Coordinated Single-Atom Catalysts for Highly Efficient CO2 Electrocatalytic Reductio
Replication Data for: Zero-Field Quantum Beats and Spin Decoherence Mechanisms in CsPbBr3 Perovskite Nanocrystals
No full textThis dataset contains raw data for the journal article ''Zero-Field Quantum Beats and Spin Decoherence Mechanisms in CsPbBr3 Perovskite Nanocrystals''
Online Resource 1 - Maximum modelled hazard distances
No full textThis dataset includes six csv files with all of the maximum modelled hazard distances (in metres) from the paper: "How well do concentric radii approximate population exposure to volcanic hazards?" and a .pdf file describing the data
Evaluating the quality of evidence of clinical interventions for children aged 6-12 years old with ADHD: Systematic Review Data Files
No full textSystematic Review Data Files for a FYP project in Psychology Studies have found that mental health problems in children have long-term negative consequences such as lower educational attainment, and later in life, lower wages and a higher likelihood of committing crimes (Cuellar, 2015). Therefore, it is important that treatments for child mental disorders are readily available and can successfully ameliorate symptoms of these disorders. Attention-deficit hyperactivity disorder (ADHD) is one of the most commonly diagnosed mental health disorders in children. Over the years, many interventions have emerged for the treatment of ADHD. Clinical interventions such as medication, cognitive behavioural therapy (CBT) and combined treatments have reported significant reduction of ADHD symptoms in children. However, poorly designed clinical interventions could compromise the conclusions of ADHD studies. The current quality of evidence of research for ADHD clinical interventions varies. As a result, therapists may choose to ignore biases or implement certain treatments albeit poor quality of evidence in the research for the treatment. This poses some risks to children with clinically diagnosed ADHD as they might not be treated with grounded evidence-based practices. Therefore, it is important to conduct a systematic review of the available research on ADHD clinical interventions as it provides an unbiased lens to assess the state of the research landscape and evaluate the quality of evidence of ADHD clinical interventions. This helps therapists to be more informed about the current research landscape and make better-informed decisions when creating a treatment plan for children diagnosed with ADHD. V3 includes minor corrections to the data at the conclusion of the FYP project.
For preregistered systematic review documents see:
Tan, Chingwen; Lau, Joey PQ; Styles, Suzy J, 2023, "Evaluating the quality of evidence of clinical interventions for children aged 6-12 years old with ADHD: Preregistration documents", https://doi.org/10.21979/N9/Z0C55J, DR-NTU (Data), V