Development and validation of Mental Health Literacy Assessment Scale among community health workers in Nepal by Shishir Paudel, Anisha Chalise, Prashabdhi Shakya, Tulsi Ram Bhandari

“…Exploratory factor analysis using Varimax rotation was performed to identify latent variables with factor loadings > 0.4. Confirmatory factor analysis was employed to validate the model, using root mean square error of approximation < 0.05, standardized root mean square residual < 0.08, comparative fit index ⩾ 0.90, and Tucker–Lewis index ⩾ 0.90. …”
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Optimization of process parameters for cellulose nanocrystals derivative from coconut shell by Dennis O. Bichang’a, Isiaka O. Oladele

“…A two-level factorial design based on Face-centred central composite design (FCCD) of the response surface methodology (RSM) was used to validate an empirical model. …”
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Increase in colonic propionate as a method of preventing weight gain in adults aged 20–40 years: iPREVENT, a multicentre, double-blind, randomised, parallel-group trial by Gary Frost, Joana C Vasconcelos, Jennifer E Pugh, Aisha Anjum, Katerina Petropoulou, George Thom, Louise McCombie, Martina Tashkova, Sumayya Alshehhi, Daphne Babalis, Leah Holroyd, Christina Prechtl, Tom Preston, Mike J Lean, Waljit Dhillo, A Toby Prevost, and Douglas Morrison

“…Repeated measures have been analysed using LME models adjusting also for randomisation stratifiers. …”
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Study on Mechanical Performance of ECC Reinforced by Polypropylene Fiber Mixed with Manufactured Sand and Carbon Black (CBMSPP-ECC) Based on Response Surface Method by Nixia Song, Min Song, Yunlong Zhang, Jing Wang

“…In order to study the mechanical performance of Engineered Cementitious Composites (ECCs) mixed with carbon black (CB), manufactured sand (MS), and polypropylene fiber (PPF), response surface methodology (RSM) was used to design the experiment, and three process variables including PPF content, fly ash content (FA), and CB content were selected as factors. …”
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Tumor mutational burden and survival on immune checkpoint inhibition in >8000 patients across 24 cancer types by Vivek Subbiah, Samuel J Klempner, Neeraj Agarwal, David P Carbone, Amit Mahipal, Shilpa Gupta, David Fabrizio, Jeffrey S Ross, Gerald Li, David R Gandara, Miles C Andrews, Jonathan W Riess, Ramez N Eskander, Ryon P Graf, Geoffrey R Oxnard, Sarah Sammons, Jeremy Snider, Lilia Bouzit, Cheryl Cho-Phan, Megan Price, Julia C F Quintanilha, Richard Sheng Poe Huang

“…This study used the TMB algorithm from the FDA-approved test supporting solid tumor CDx and composite mortality variable validated against the national death index: real-world overall survival (rwOS). …”
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Artificial Intelligence-based Approaches for Characterizing Plaque Components From Intravascular Optical Coherence Tomography Imaging: Integration Into Clinical Decision Support Sy... by Michela Sperti, Camilla Cardaci, Francesco Bruno, Syed Taimoor Hussain Shah, Konstantinos Panagiotopoulos, Karim Kassem, Giuseppe De Nisco, Umberto Morbiducci, Raffaele Piccolo, Francesco Burzotta, Fabrizio D’Ascenzo, Marco Agostino Deriu, Claudio Chiastra

“…This technique provides detailed information on plaque morphology and composition, enabling the identification of high-risk features associated with coronary artery disease and adverse cardiovascular events. …”
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Optimasi Proses Ekstraksi Oleoresin Jahe (Zingiber officinale Rosc) Menggunakan Ultrasonik by Sri Hartuti, Muhammad Dani Supardan

“…Response surface design method with Central Composite Design (CCD) was used to obtain a mathematical model which describes the relationship between the yield of ginger oleoresin and influencing variables. …”
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新編中學生考試焦慮因應量表：以潛在類別分析取向探究學生因應組型及預測因子 Coping Scale With Test Anxiety (COSTA) for Adolescent Students: Exploring Coping Profiles and Predictors Through a Latent Class Analysis Approa... by 趙子揚 Tzu-Yang Chao

“…In the formal phase, CFA indicated that the 12-dimension measurement model had acceptable fit, with composite reliability for each dimension ranging from .56 to .87 and average variance extracted ranging from .18 to .54. …”
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Development and external validation of a risk prediction score (DASHI) for cardiovascular events following acute respiratory infections: derivation and validation retrospective coh... by Joseph J. Lee, Constantinos Koshiaris, Cynthia Wright-Drakesmith, Jennifer A. Davidson, Charlotte Warren-Gash, F.D. Richard Hobbs, James P. Sheppard

“…We derived two logistic regression models, one with the top ranked variables, and another including additional lower ranked variables. …”
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Evaluation of small vessel disease burden on MRI and stroke outcomes by Janet Nguyen, Nicholas Vo, Nicholas Vo, Peter D. Chang, Peter D. Chang, Chanon Chantaduly, Wengui Yu, Jennifer E. Soun, Jennifer E. Soun

“…The combined model also better predicted the following outcomes with lower mean absolute error (MAE): NIHSS MAE 5.16 (3.80–6.69), ICU days 1.26 (0.86–1.66), total length of stay 2.62 (2.08–3.17), and 90 day mRS 1.74 (1.39–2.12).ConclusionCombining an SVD score with clinical variables improved prediction of stroke outcomes when compared to either predictor alone, although the added value is modest and requires further validation. …”
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Aerosol single-scattering albedo derived by merging OMI/POLDER satellite products and AERONET ground observations by Y. Dong, J. Li, J. Li, Z. Zhang, C. Zhang, Q. Li

“…<p>Accurate global aerosol single-scattering albedo (SSA) data are critical for assessing aerosol radiative effects and identifying aerosol composition. However, current satellite-based SSA retrievals are both limited and highly uncertain, whereas the more accurate ground-based observations lack global coverage. …”
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An efficient homogenization method using the trigonometric interpolation and the fast fourier transform by Ngoc-Trung Nguyen, Christian Licht, Jin-Hwe Kweon

“… This study focuses on formulation of the Augmented Lagrangian and application of the Uzawa's algorithm to solve the homogenization problem of microscopic periodic media as in composites. Unlike in the finite element model, an equally spaced grid system associated with the microstructure domain is used instead of a finite element mesh topology. …”
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Biodiesel production from Sesamum indicum L. seed oil: An optimization study by F.A. Dawodu, O.O. Ayodele, T. Bolanle-Ojo

“…Transesterification of Sesamum indicum L. oil was carried with methanol in the presence of sodium methoxide and the parameters affecting the reaction; vegetable oil/methanol molar ratio, catalyst concentration, reaction temperature and time were fully optimized by employing Central Composite Design method (CCD). A quadratic polynomial was developed to predict the response as a function of independent variables and their interactions and only the significant factors affecting the yield were fitted to a second-order response surface reduced 2FI model. …”
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Landscape Metrics as Ecological Indicators for PM₁₀ Prediction in European Cities by Seyedehmehrmanzar Sohrab, Nándor Csikós, Péter Szilassi

“…The SHDI was negatively correlated with PM₁₀ levels, suggesting that heterogeneous landscapes could help mitigate pollution. Our enhanced model achieved an R² of 0.58 in the 1000 m buffer zone and 0.66 in the 3000 m buffer zone, underscoring the utility of these variables in improving PM₁₀ predictions. …”
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Biomass distribution law of winter wheat in mining-affected area based on UAV remote sensing by Jing WANG, Wenbing GUO, Zhichao CHEN, Erhu BAI

“…The best model was selected based on the coefficient of determination (R2) and root mean square error (RMSE). …”
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Integration of artificial intelligence and advanced optimization techniques for continuous gas lift under restricted gas supply: A case study by Leila Zeinolabedini, Forough Ameli, Abdolhossein Hemmati-Sarapardeh

“…To this end, 154 data points constructed by a central composite design (CCD) experiment were utilized to develop neural network models. …”
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Spatiotemporal prediction of alpine wetlands under multi-climate scenarios in the west of Sichuan, China by Haijun Wang, Xiangdong Kong, Onanong Phewnil, Ji Luo, Pengju Li, Xiyong Chen, Tianhui Xie

“…The thematic maps were then grid-sampled for predictive modeling of future wetland changes. Four species distribution models (SDMs), BIOCLIM, DOMAIN, MAXENT, and GARP were innovatively introduced. …”
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Exploring the capabilities of hyperspectral remote sensing for soil texture evaluation by Mohammad Hosseinpour-Zarnaq, Mahmoud Omid, Fereydoon Sarmadian, Hassan Ghasemi-Mobtaker, Reza Alimardani, Pouya Bohlol

“…Hyperspectral remote sensing provides a broad range of spectral bands with up-to-date, cost-effective, and spatially explicit resolution for smart agriculture and environmental management. In this study, we modeled and generated a composite map of soil texture variability using PRISMA images collected from agricultural areas in Iran's dry and semi-arid regions. …”
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Growth, physical, and cognitive function in children who are born HIV-free: School-age follow-up of a cluster-randomised trial in rural Zimbabwe. by Joe D Piper, Clever Mazhanga, Marian Mwapaura, Gloria Mapako, Idah Mapurisa, Tsitsi Mashedze, Eunice Munyama, Maria Kuona, Thombizodwa Mashiri, Kundai Sibanda, Dzidzai Matemavi, Monica Tichagwa, Soneni Nyoni, Asinje Saidi, Manasa Mangwende, Dzivaidzo Chidhanguro, Eddington Mpofu, Joice Tome, Gabriel Mbewe, Batsirai Mutasa, Bernard Chasekwa, Handrea Njovo, Chandiwana Nyachowe, Mary Muchekeza, Kuda Mutasa, Virginia Sauramba, Ceri Evans, Melissa J Gladstone, Jonathan C Wells, Elizabeth Allen, Melanie Smuk, Jean H Humphrey, Lisa F Langhaug, Naume V Tavengwa, Robert Ntozini, Andrew J Prendergast

“…They also included covariates derived from directed acyclic graphs, with separate models adjusted for contemporary variables (socioeconomic status, household food insecurity, religion, social support, gender norms, caregiver depression, age, caregiver education, adversity score, and number of children's books) and early-life variables (length-for-age-Z-score) at 18 months, birthweight, maternal baseline depression, household diet, maternal schooling and haemoglobin, socioeconomic status, facility birth, and gender norms. …”
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Consequences, costs and cost-effectiveness of workforce configurations in English acute hospitals by Peter Griffiths, Christina Saville, Jane Ball, David Culliford, Jeremy Jones, Francesca Lambert, Paul Meredith, Bruna Rubbo, Lesley Turner, Chiara Dall’Ora

“…We used the national standardised hospital mortality indicator model to adjust for risk of death and for national patient and the staff experience models included the Trust’s mortality rate to adjust for the acuity of the case mix. …”
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