The impact of natural climate variability on the global distribution of Aedes aegypti: a mathematical modelling study by Kaye, AR, Obolski, U, Sun, L, Hart, WS, Hurrell, JW, Tildesley, MJ, Thompson, RN

“…<p><b>Methods</b></p> In this mathematical modelling study, we developed an ecological model in which Ae aegypti population dynamics depend on climate variables (temperature and rainfall). We used 100 projections of future climate from the Community Earth System Model, a comprehensive climate model that simulates natural climate variability as well as anthropogenic climate change, in combination with our ecological model to generate a range of equally plausible scenarios describing the global distribution of suitable conditions for Ae aegypti up to 2100. …”

Systematic review of evidence for the impact and effectiveness of the 1-3-7 strategy for malaria elimination by Sogandji, N, Stevenson, A, Luo, MY, Qi, G, Maude, RJ

“…It has since been expanded to multiple countries, but no systematic review has examined the evidence for its use. A systematic review was conducted aiming to evaluate the impact and effectiveness of the strategy and identify key challenges and variations in its implementation across different countries. …”

The UK Breast Cancer in Pregnancy (UKBCiP) Study. Incidence, diagnosis, management and short-term outcomes of breast cancer first diagnosed during pregnancy in the United Kingdom:... by Hardy, C, Brand, A, Jones, J, Knight, M, Banfield, P

“…</p> <br> <p><strong>Methods:</strong> This population-based descriptive study used the UK Obstetric Surveillance System (UKOSS). …”

Absolute deviance method for symmetrical uniform designs by Lau, Grace Chui Ting

“…Uniform design is a kind of space filling designs which is widely used in various field due to its great advantages. …”
Get full text

Relationship between selected biopsychosocial factors on cognitive functions among Malaysian community-dwelling older adults by Foong, Hui Foh

“…However, only baseline data from the first wave of data collection were used in this study. Data analyses were carried out after examining the data for coding error, identifying and removing outliers, replacing missing values, and addressing normality issue. …”
Get full text

Meta-Heuristic Search Based Test Data Generation Method for Dynamic-Functional Testing in Automatic Programming Assessment (S/O 13793) by Romli, Rohaida, Abd Wahab, Alawiyah, Romli, Rusnida, Yusoff, Nooraini

“…Unfortunately, current studies on APA have not yet usefully embrace the techniques to include better quality program testing coverage by considering the optimal size of the generated test data. …”
Get full text

Green hydrogen derived from municipal wastewater via bioconversion by attached microalgae onto various sizes of polyurethane foam cubes by Musa Ardo, Fatima, Khoo, Kuan Shiong, Min Woon, Jia, Nurul Tasnim, Sahrin, Fong Yeong, Yin, Ng, Huisuan, Sean Goh, Pei Sean, Herma Dina, Setiabudi, Kiatkittipong, Worapon, Wei Lim, Jun, Ikenaga, Kazutoshi, Ansar, Sabah

“…Polyurethane foam cubes of four different sizes, namely, 0.5, 0.75, 1 and 2 cm (cubes’ edge lengths), were initially used to immobilize microalgae for 7 days. They were then introduced into municipal wastewater medium to provide alimentation for attached microalgae in performing dark fermentation. …”
Get full text
Get full text

SenseMate: An Accessible and Beginner-Friendly Human-AI Platform for Qualitative Data Analysis by Overney, Cassandra, Saldías, Belén, Dimitrakopoulou, Dimitra, Roy, Deb

“…Regarding the effectiveness of SenseMate’s design, participants reported that the platform was generally easy to use. In summary, Sensemate is (1) built for beginner sensemakers without a technical background, a user group that prior work doesn’t focus on, (2) implements rationale extraction models to recommend themes and generate explanations, which has advantages over large language models in terms of user privacy and control, and (3) contains original and intuitive features created from user feedback that can be applied to future QDA systems.…”
Get full text

Time-series metagenomics reveals changing protistan ecology of a temperate dimictic lake by Krinos, Arianna I., Bowers, Robert M., Rohwer, Robin R., McMahon, Katherine D., Woyke, Tanja, Schulz, Frederik

“…The metagenomic data also reveal the presence of the spiny water flea and the zebra mussel, a second invasive species to Lake Mendota, prior to their visual identification during routine monitoring. Furthermore, we use species co-occurrence and co-abundance analysis to connect the protistan community with bacterial taxa. …”
Get full text

Advances in the chemistry of base-stabilized germanium(I) compounds towards C-C bond formation by Ong, Melissa Xin Yi

“…With the base-stabilized germanium(I) dimers in hand, they were used to investigate C-C bond formation reactions through the polymerization of various α,β-unsaturated carbonyl compounds to form corresponding polymers with low molecular weight and low dispersity. …”
Get full text

Electron radiation-induced material diffusion and nanocrystallization in nanostructured amorphous CoFeB thin film by Liu, Binghai, Tahmasebi, Taiebeh, Ong, Kenny, Teo, Hanwei, Mo, Zhiqiang, Lam, Jeffrey, Tan, Pik Kee, Zhao, Yuzhe, Dong, Zhili, Houssameddine, Dimitri, Wang, Jacob, Xue, Junming, Mai, Zhihong

“…Transmission electron microscopy (TEM) is widely used for physical characterization of CoFeB based magnetic tunneling junctions (MTJ) with its atomic-scale resolution. …”
Get full text

Exploring multi-level motivations towards green design practices : a system dynamics approach by Li, Qing, Zhang, Lianying, Zhang, Limao, Jha, Sunil

“…Monte Carlo simulation is further used to assess the robustness of the model and understand the effects of changes in input parameters on output. …”
Get full text

Exploring dependence structures among European electricity markets: static and dynamic copula-GARCH and dynamic state-space approaches by Ly, Sel, Sriboonchitta, Songsak, Tang, Jiechen, Wong, Wing-Keung

“…Our findings provide useful information regarding the dependence, integration, risk management, and asset pricing for the European electricity markets.…”
Get full text

Empirical evidence of the relationship between regulatory efficiency, market openness, and bank productivity in economies at different income levels: evidence from selected Asian a... by Kamarudin, Fakarudin, Hussain, Hafezali Iqbal, Mohamad Anwar, Nazratul Aina, Michałek, Janusz, Ahmad Razimi, Mohd Shahril

“…Methods: A sample of 15 countries are included in the study from differing income levels. The study uses the data envelopment analysis (DEA) based Malmquist productivity index (MPI) approach to measure banks’ productivity. …”
Get full text

Combined application of biochar and silicon fertilizer for improved soil properties and maize growth by Abu Bakar, Muhammad Wasil, Uddin, M. K., Kasim, Susilawati, Zaibon, Syaharudin, Shamsuzzaman, S. M., Haque, A. N. A., Reza, A.

“…Biochar can be a good soil amendment to reduce the soil pH, increase crop growth rate, and improve the efficient use of fertilizer. Other than that, silicon fertilizer also would promote photosynthetic ability on plant development that would help to produce high yield. …”
Get full text

Solid-State P NMR, Far-IR, and Structural Studies on Two-Coordinate (Tris(2,4,6-trimethoxyphenyl)phosphine)copper(I) Chloride and Bromide by Bowmaker, Graham A., Cotton, John D., Healy, Peter C., Kildea, John D.

“…The spectrum for each complex shows an asymmetric quartet centered at -65 ppm with highly asymmetric line spacings of 1.40, 2.21, and 2.50 kHz and 1.48, 2.17, and 2.43 kHz, respectively. These data have been used to estimate copper nuclear quadrupole coupling constants for the two compounds.…”

The Impact of Starting Positions and Breathing Rhythms on Cardiopulmonary Stress and Post-Exercise Oxygen Consumption after High-Intensity Metabolic Training: A Randomized Crossove... by Li, Yuanyuan, Wang, Jiarong, Li, Yuanning, Li, Dandan

“…A two-way ANOVA, multi-variable Cox regression, and random survival forest machine learning algorithm were used to conduct the statistical analysis. Results: Under free breathing, only the maximum POCR differed significantly between standing and prone positions, with prone positions showing higher stress (mean difference = 3.15, p < 0.001). …”
Get full text

An immune-competent human gut microphysiological system enables inflammation-modulation by Faecalibacterium prausnitzii by Zhang, Jianbo, Huang, Yu-Ja, Trapecar, Martin, Wright, Charles, Schneider, Kirsten, Kemmitt, John, Hernandez-Gordillo, Victor, Yoon, Jun Young, Poyet, Mathilde, Alm, Eric J., Breault, David T., Trumper, David L., Griffith, Linda G.

“…The integration of defined populations of immune cells in the gut microphysiological system demonstrated the usefulness of GuMI physiomimetic platform to study microbe-epithelial-immune interactions in healthy and disease conditions.…”
Get full text

Which surrogate insulin resistance indices best predict coronary artery disease? A machine learning approach by Mirjalili, Seyed Reza, Soltani, Sepideh, Meybodi, Zahra Heidari, Marques-Vidal, Pedro, Firouzabadi, Danial Dehghani, Eshraghi, Reza, Restrepo, David, Ghoshouni, Hamed, Sarebanhassanabadi, Mohammadtaghi

“…The receiver operating curve (ROC) was employed to compare the predictive efficacy of these indices and their corresponding cutoff values for predicting CAD. We also used three distinct embedded feature selection methods: LASSO, Random Forest feature selection, and the Boruta algorithm, to evaluate and compare surrogate markers of insulin resistance in predicting CAD. …”
Get full text

Compressed sensing: a discrete optimization approach by Bertsimas, Dimitris, Johnson, Nicholas A. G.

“…On real world ECG data, for a given ℓ2 reconstruction error our approach produces solutions that are on average 9.95% more sparse than benchmark methods (3.88% more sparse if only compared against the best performing benchmark), while for a given sparsity level our approach produces solutions that have on average 10.77% lower reconstruction error than benchmark methods (1.42% lower error if only compared against the best performing benchmark). When used as a component of a multi-label classification algorithm, our approach achieves greater classification accuracy than benchmark compressed sensing methods. …”
Get full text