New bounded probability model: Properties, estimation, and applications by Ahmed M. Gemeay, Laxmi Prasad Sapkota, Yusra A. Tashkandy, M.E. Bakr, Oluwafemi Samson Balogun, Eslam Hussam

Get full text

Application of AMMI and GGE biplot for genotype by environment interaction and yield stability analysis in potato genotypes grown in Dawuro zone, Ethiopia by Berhanu Bilate Daemo, Zeleke Ashango

Get full text

Predicting Clay Swelling Pressure: A Comparative Analysis of Advanced Symbolic Regression Techniques by Esteban Díaz, Roberto Tomás

Get full text

Microstructure Characteristics of GFRP Reinforcing Bars in Harsh Environment by Hilal El-Hassan, Tamer El Maaddawy

Get full text

Developing and evaluating a culturally-appropriate food kit for increased access to fruits and vegetables and DASH eating plan alignment in immigrant Hispanic/Latine individuals wi... by Ambria Crusan, Kerrie L. Roozen, Clara Godoy-Henderson, Angela Evans, Katie Reeves

“…A 28-day open trial enrolling 21 participants collected pre- and post- measurements of blood pressure (BP), weight, waist circumference (WC), and skin carotenoid levels. Weekly DASH boxes and diet education were provided. Pre-to post-changes in cardiometabolic markers were calculated via t-tests. …”
Get full text

Effects of wire diameter on mechanical and microstructural properties of Inconel 625 fabricated by wire arc additive manufacturing by Fakada Dabalo Gurmesa, Hirpa G. Lemu, Wakshum Mekkonen Tucho, Adugna Deressa Akessa

Get full text

Kinematic Confirmation of a Remarkable Linear Trail of Galaxies in the NGC 1052 Field, Consistent with Formation in a High-speed Bullet Dwarf Collision by Michael A. Keim, Pieter van Dokkum, Zili Shen, Harrison Souchereau, Imad Pasha, Shany Danieli, Roberto Abraham, Aaron J. Romanowsky, Yimeng Tang

Get full text

Unveiling the optimal factor model in Pakistan: a machine learning approach using support vector regression and extreme gradient boosting algorithms by Rizwan Ullah, Muhammad Naveed Jan, Muhammad Tahir

“…ANOVA and Diebold–Mariano tests were applied to pick the best model, while SHAP (SHapley Additive exPlanations) and TreeSHAP analyses identified the significant input factors by using the explainable artificial intelligence (ExP AI). …”
Get full text

Insulin-Sensitizing Properties of Decoctions from Leaves, Stems, and Roots of <i>Cucumis prophetarum</i> L. by Zewdie Mekonnen, Giuseppe Petito, Getasew Shitaye, Gianluca D’Abrosca, Belete Adefris Legesse, Sisay Addisu, Maurizio Ragni, Antonia Lanni, Roberto Fattorusso, Carla Isernia, Lara Comune, Simona Piccolella, Severina Pacifico, Rosalba Senese, Gaetano Malgieri, Solomon Tebeje Gizaw

Get full text

IMPLICATIONS OF Acanthus ilicifolius LEAF EXTRACT UTILIZATION TO INHIBIT Candida albicans GROWTH TO SUPPORT MANGROVE CONSERVATION by Maulinna Kusumo Wardhani, Askur Rahman

Get full text

Ameliorative Potentials of Cocoyam (Colocasia esculenta L.) and Unripe Plantain (Musa paradisiaca L.) on the Relative Tissue Weights of Streptozotocin-Induced Diabetic Rats by C. O. Eleazu, M. Iroaganachi, K. C. Eleazu

Get full text

The associations between sleep problems and pain outcomes in people with hand osteoarthritis – Data from the Nor-hand study by Daniel H. Bordvik, Pernille Steen Pettersen, Marthe Gløersen, Elisabeth Mulrooney, Tuhina Neogi, Ingvild Kjeken, Ida K. Haugen

Get full text

Exploration of physics-related latent vectors in hot working of Inconel 718 superalloy using autoencoder by Min Jik Kim, Seon Yeong Yang, Woo Seok Yang, Sehyeok Oh, Sang Min Park, Da Seul Shin

“…The AE-PN effectively reduces the dimensionality of stress-strain curves in a non-linear manner while preserving critical flow features, enabling accurate reconstruction of stress-strain curves. …”
Get full text

Ta-YOLO: overcoming target blocked challenges in greenhouse tomato detection and counting by Yun Zhao, Yijia Chen, Xing Xu, Yong He, Hao Gan, Na Wu, Zhechen Wang, Xi Sun, Yali Wang, Petr Skobelev, Yanan Mi

“…We captured images of small tomatoes at various stages of ripeness in real-world settings and compiled them into datasets for training and testing the model. First, we utilized the Space-to-Depth module to efficiently leverage the implicit features of the images while ensuring a lightweight operation of the backbone network. …”
Get full text

Community engagement with engineering to address the environmental and public health impacts of a fertilizer fire by Kyana R L Young, Crystal T Dixon, Amarie Johnson, Aryaman Shukla

Get full text

A Novel Rubber Composite Sleeper-Deformation-Prediction Model Based on Response Surface Method (RSM) and Machine Learning (ML) Techniques by Abdulmumin Ahmed Shuaibu, Zhiping Zeng, Ibrahim Hayatu Hassan, Wang Weidong, Hassan Suleiman Otuoze, Suleiman Abdulhakeem, Bushrah Baba Abdulrahman

“…The temperature data were filtered to remove noise and normalized based on the Log-Pearson Type III outlier detection method and Box-Cox transformation, respectively, before being used to develop temperature-dependent models for sleeper deformation. …”
Get full text

Phenotypic screen of early-developing larvae of the blood fluke, schistosoma mansoni, using RNA interference. by M M Mourão, Nathalie Dinguirard, Glória R Franco, Timothy P Yoshino

“…Of those, 6 genes exhibited consistent reductions in steady-state transcript levels, while expression level for the rest remained unchanged. …”
Get full text

Comparative performance evaluation of quartz and snail shell powders modified concrete: Mechanical, machine learning, and microstructural assessments by Md. Habibur Rahman Sobuz, Md. Kanan Chowdhury Tilak, SM Arifur Rahman, Fahim Shahriyar Aditto, Faiz Uddin Ahmed Shaikh, Md. Kawsarul Islam Kabbo, M Jameel, Md. Munir Hayet Khan

Get full text

Adaptation to Sodium Hypochlorite and Potassium Permanganate May Lead to Their Ineffectiveness Against <i>Candida albicans</i> by Tomasz M. Karpiński, Marzena Korbecka-Paczkowska, Marcin Ożarowski, Donald Włodkowic, Marzena Liliana Wyganowska, Agnieszka Seremak-Mrozikiewicz, Judyta Cielecka-Piontek

Get full text

A KAN-based interpretable framework for prediction of global warming potential across chemical space by Jaewook Lee, Xinyang Sun, Ethan Errington, Calum Drysdale, Miao Guo

“…In this study, we propose an AI-based GWP prediction framework that integrates both molecular and process-level features to improve accuracy while employing white-box modeling techniques to enhance interpretability. …”
Get full text