DeepB3Pred - code by Saleh Musleh (22263718)

Flowchart representation of lion optimization algorithm for hyperparameter tuning in the HCAP model. by Mohanad Faeq Ali (21354273)

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Pre and post COVID-19 Genexpert tests for TB detection trends over 8 months. by Beshir Bedru Nasir (8218863)

Number and types of total TB patient on follow-up during pre and post COVID-19. by Beshir Bedru Nasir (8218863)

Schematic illustration of behavioural route learning heuristics (A-D) and recapitulations strategies (E-D), see methods for details of implementation. Route learning heuristics. by Amany Azevedo Amin (18596581)

“…(B) Beacon aiming biases the agent toward salient visual features during learning, with obstacle avoidance taking precedence when within a pre-set proximity threshold (refer to methods). …”

The factors discovered during focus group discussions and in-depth interviews influencing the implementation of molecular resistance markers into the routine malaria surveillance s... by Frank M. Kagoro (12979806)

Data Sheet 1_Promoting physical activity among community-dwelling seniors living in a Francophone rural area in New Brunswick: a pre-implementation qualitative study.zip by Jalila Jbilou (3688234)

Table 1_Acceptability and exploratory effects of an occupational therapy intervention to improve recovery and return to work of workers with mental health disorders in primary care... by Justine Labourot (20350095)

Pre and pot COVID-19 total TB patients on follow-up trends over 8 months. by Beshir Bedru Nasir (8218863)

Pre and post COVID-19 positive test results of TB detection trends over 8 months. by Beshir Bedru Nasir (8218863)

Evaluating a co-design and implementation project to improve sexuality support following traumatic brain injury in a multi-disciplinary rehabilitation unit: a mixed-method study by Jill H. A. Hwang (22112558)

“…</p> <p>Through a mixed-method design, 81 individuals with TBI (48 pre-implementation and 33 post-implementation) completed surveys, 26 clinicians completed a repeated survey and 15 clinicians participated in semi-structured interviews.…”

DeepB3Pred_source_code by Muhammad Arif (17012472)

Code by Baoqiang Chen (21099509)

“…We divided the dataset into training and test sets, using 70% of the genes for training and 30% for testing. We implemented machine learning algorithms using the following R packages: rpart for Decision Trees, gbm for Gradient Boosting Machines (GBM), ranger for Random Forests, the glm function for Generalized Linear Models (GLM), and xgboost for Extreme Gradient Boosting (XGB). …”

Summary of defense and attack detection methods. by Syeda Nazia Ashraf (17541222)

“…Two pre-trained models, VGG19 and VGG16, and our hybrid model of MobileNetV2 and DenseNet169, called Stack Model, have been used to compare their results. …”

RNA Velocity model simulation results. (A) Simulation results for RNA Velocity model without delay ( samples). The simulation is composed of an up-regulation phase (both production... by Ziyan Jin (21021976)

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Modeling lung cancer AST network and its perturbation with a SOX2 degrader. (A) Lung Cancer AST Network and the corresponding stochastic equations. Parameters are , , , , , , , , w... by Ziyan Jin (21021976)

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ROC-AUC curve of models implemented. by Sri Harsha Boppana (19136491)

Box plots showing the contribution of facilitated eSPT workshop on participants’ acquisition and retention of entomological surveillance knowledge. by Charlotte Hemingway (9524724)

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eSPT Workshop Participants. by Charlotte Hemingway (9524724)

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Box plots showing the contribution of facilitated eSPT workshop on participants’ self-efficacy to develop tailored entomological surveillance plans. by Charlotte Hemingway (9524724)

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