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Social Marketing for Public Health

Diana Chapman Walsh, Rima E. Rudd, Barbara A. Moeykens, Thomas W. Moloney • Health Affairs (1993)

Prologue: At a time when the Clinton administration is promoting fundamental reform of the U.S. health care system, far less attention is being paid to perhaps the most important challenge any country faces when it seeks to improve the heal...

OPENALEX DOI: https://doi.org/10.1377/hlthaff.12.2.104

Electrorefining behavior of a multicomponent copper alloy derived from waste printed circuit boards

Florentina Niculescu, Ion Pencea, Mirela Stănescu, Gheorghe Iacob et al. • Chemical Engineering Journal Advances (2026)

Efficient recycling of waste electrical and electronic equipment (WEEE) is a major priority for the circular economy and sustainable resource management. This study proposes and investigates an integrated mechanical, pyrometallurgical, and ...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.ceja.2026.101418

Review of Medical Microbiology and Immunology

Warren E. Levinson • Repository of the University of Ljubljana (University of Ljubljana) (2002)

Essential for USMLE review and medical microbiology coursework! Review of Medical Microbiology and Immunology is a succinct, high-yield review of the medically important aspects of microbiology and immunology. It covers both the basic and c...

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<i>In-House</i> Innovative “Diamond Shaped” 3D Printed Microfluidic Devices for Lysozyme-Loaded Liposomes

Federica Sommonte, Edward Weaver, Essyrose Mathew, Nunzio Denora et al. • Pharmaceutics (2022)

Nanotechnology applications have emerged as one of the most actively researched areas in recent years. As a result, substantial study into nanoparticulate lipidic systems and liposomes (LPs) has been conducted. Regardless of the advantages,...

DOAJ Open Access (DOAJ) DOI: 10.3390/pharmaceutics14112484

GROWTH AND YIELD RESPONSES OF SOYBEAN (Glycine max L.) TO ZINC OXIDE (ZnO) NANOPARTICLES FOLIAR APPLICATION

Fayomi Omotola Michael, Olasan Joseph Olalekan, Aguoru Celestine Uzoma, Terhemba Mamnenge Sarah • Biotechnologia Acta (2024)

Aim. This study was purposed to investigate the effects of zinc oxide nanoparticles (ZnO NPs) on the growth and yield performance of two soybean (Glycine max L.) varieties, TGX1904-6F and TGX1951-3F, under controlled experimental conditions...

DOAJ Open Access (DOAJ) DOI: 10.15407/biotech17.06.056

Phase formations and microstructures of Ti20Zr15Hf15Ni35Cu15 high-entropy shape memory alloy under different aging conditions

Yen-Ting Chang, Ming-Hao Lee, Ming-Wen Chu, Chih-Hsuan Chen • Materials Today Advances (2022)

The microstructures and phase formations of Ti20Zr15Hf15Ni35Cu15 high entropy shape memory alloy (HESMA) under different aging conditions were investigated in this study. At aging temperatures below 500 °C, a large amount of the H-phase for...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.mtadv.2022.100223

Achieving high strength in 430 stainless steel by laser powder bed fusion: microstructure-property relationships and strengthening strategies

Junchen Li, Qiushuang Wang, Swee Leong Sing, Congwei Wang et al. • Virtual and Physical Prototyping (2026)

Conventional manufacturing of 430 ferritic stainless steel faces significant challenges, including severe work hardening, rapid tool wear, and limited strengthening via heat treatment. To overcome these limitations, this study employs laser...

DOAJ Open Access (DOAJ) DOI: 10.1080/17452759.2026.2631285

Predicting Microbial Protein Synthesis in Cattle: Evaluation of Extant Equations and Steps Needed to Improve Accuracy and Precision of Future Equations

Michael L. Galyean, Luis O. Tedeschi • Animals (2024)

Predictions of microbial crude protein (MCP) synthesis for beef cattle generally rely on empirical regression equations, with intakes of energy and protein as key variables. Using a database from published literature, we developed new equat...

DOAJ Open Access (DOAJ) DOI: 10.3390/ani14192903

Knockout of

Tushar K. Dutta, Voodikala S. Akhil, Utkarsh Chauhan, Prolay K. Bhowmick et al. • Rice Science (2026)

Direct-seeded rice (DSR) offers a sustainable alternative for climate-resilient agriculture, but it is severely threatened by the root-knot nematode Meloidogyne graminicola . Knockout of susceptibility (S) genes has emerged as a promising s...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.rsci.2026.05.008

Efficacious role of silica nanoparticles in improving growth and yield of wheat under drought stress through stress-gene upregulation

Rekha Boora, Neelam Rani, Santosh Kumari, Shikha Yashveer et al. • Plant Nano Biology (2023)

Climate change is now evident and severe water shortage due to unpredictable raining season along with extended summers is expected to hamper crop production across the globe. Application of nanoparticle based formulations is one of the mos...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.plana.2023.100051

Development of Rice Variety With Durable and Broad-Spectrum Resistance to Blast Disease Through Marker-Assisted Introduction of Pigm Gene

Zhiming Feng, Zhiming Feng, Mingyou Li, Zhiwen Xu et al. • Frontiers in Plant Science (2022)

Rice blast, caused by Magnaporthe oryzae (M. oryzae), is one of the most destructive diseases threatening rice production worldwide. Development of resistant cultivars using broad-spectrum resistance (R) genes with high breeding value is th...

DOAJ Open Access (DOAJ) DOI: 10.3389/fpls.2022.937767

Highly efficient photonic PCR system based on plasmonic heating of gold nanofilms

Joshua Nabuti, Ahmed Rashad Fath Elbab, Ahmed Abdel-Mawgood, Matsushita Yoshihisa et al. • Biosensors and Bioelectronics: X (2023)

The polymerase chain reaction (PCR) is a standard molecular method that has the potential to solve the need for accurate, viable, and immediate infectious pathogen detection at point-of-care (POC) centers in different fields such as pathoge...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.biosx.2023.100346

Enhancing sentiment classification on small datasets through data augmentation and transfer learning

Mahmoud S. Mayaleh, Samer A. Mayaleh • Discover Artificial Intelligence (2026)

Abstract Small-scale sentiment classification often suffers from data scarcity, which limits the generalization ability of the models. This study evaluates and compares the effectiveness of three data augmentation strategies: Easy Data Augm...

DOAJ Open Access (DOAJ) DOI: 10.1007/s44163-025-00813-9

A Multi-Stage NLP Framework for Knowledge Discovery from Crop Disease Research Literature

Jantima Polpinij, Manasawee Kaenampornpan, Christopher S. G. Khoo, Wei-Ning Cheng et al. • Mathematics (2026)

Extracting and organizing knowledge from the agricultural crop disease research literature are challenging tasks because of the heterogeneous terminologies, complicated symptom descriptions, and unstructured nature of scientific documents. ...

DOAJ Open Access (DOAJ) DOI: 10.3390/math14020299

A systematic review of natural language processing applied to radiology reports

Arlene Casey, Emma Davidson, Michael Poon, Hang Dong et al. • BMC Medical Informatics and Decision Making (2021)

BACKGROUND: Natural language processing (NLP) has a significant role in advancing healthcare and has been found to be key in extracting structured information from radiology reports. Understanding recent developments in NLP application to r...

OPENALEX cc-by DOI: https://doi.org/10.1186/s12911-021-01533-7 PMC: 8176715

A comparative empirical evaluation of semantic clustering algorithms on static word embeddings

Asefeh Asemi, Rajab Kiani Shahvandy, Mahdi Houshangi • International Journal of Information Management Data Insights (2026)

Objective: This study conducts a comprehensive empirical evaluation of semantic clustering algorithms to identify the most effective approach for automatically organizing and extracting meaning from textual data. By systematically comparing...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.jjimei.2026.100396

Different hybrid machine intelligence techniques for handling IoT‐based imbalanced data

Gaurav Mohindru, Koushik Mondal, Haider Banka • CAAI Transactions on Intelligence Technology (2021)

Abstract In the era of automatic task processing or designing complex algorithms, to analyse data, it is always pertinent to find real‐life solutions using cutting‐edge tools and techniques to generate insights into the data. The data‐drive...

DOAJ Open Access (DOAJ) DOI: 10.1049/cit2.12032

Explainable hybrid deep learning framework for air quality index prediction in Indian cities

Priyal Singhal, Praneet Saurabh, Mayank Sharma, Jyoti Badge et al. • Discover Artificial Intelligence (2026)

Abstract Air pollution constitutes one of the most pressing environmental and public health crises of the twenty-first century, disproportionately affecting rapidly urbanising nations such as India. Accurate prediction of the Air Quality In...

DOAJ Open Access (DOAJ) DOI: 10.1007/s44163-026-02131-0