Daily Archives: March 16, 2026

The working professionals, scholars, and the students pursuing their academics in the field of food science, which is the subject of our daily lives and needs daily up to date information and sources to be covered in the research, are making a great contribution among the community. But here is a big task for those who cannot pay a high charge for publication. To resolve this problem, we will walk through the detailed information of food science journal free publication and how this helps scholars to get published their paper for free.

Submit Your Paper  / Check Publication Charges

What Are Food Science Journals?

The journals prove to be very helpful for the students who are not getting funded or the independent scholars who cannot afford a high expensive fee. The journals are basically funded by govt. organizations, research institutes or college and universities, covering branches of food science as food microbiology, food processing, nutrition, genomics and food science as a multi-disciplinary field etc.

How these journals help scholars to get published their research paper for free?

To get a free publication opportunity you need to know that it fully depends on the research paper you prepared. Yes, here the quality of your paper matters most to pass the basic standards of journal paper publication, written with honesty, carries the great feedback result of review, do not carry plagiarism and should not be copied.

To write well and get more knowledge about your topic or subject you are preparing, look for the free reading access providing journal where you can dig deep in pre published articles and include in your survey paper. With these traits do visit the official websites, not every journal is true every time, they may carry some hidden charges.

You can actively check for the following qualities of the journals which do not charge for publication;

• Confers proper submission process guidelines with transparency
• Authorized and recognized widely and free reading access of pre published articles
• Double blinded or peer review process with subject experts
• Serve International Standard Serial Number and Digital Object Identifier which depends on the paper quality and journal general policies
• A well name, designation and publication mentioned digital certificate
• Fast publication capacity and copy right form
• A well-organized and cooperative paper formatting team to make the paper more structured

However sometimes it takes a long to publish the paper fast as they do not charge anything. Run for the opportunity when and wherever you find. They help a lot to get connect with the people like you and share your new information among them. This opens the doors of academic success fast.

Published by: Neeraj Mishra

Publishing research paper in a free journal always motivates the researchers, scholars and students who are stepping through their academic journey. In some cases it seems hard to publish in free journal but the right approach at right time will help you to easy go with paper publication. In this blog you will understand what free engineering journals are and how they help you to publish papers easily.

Submit Your Paper  / Check Publication Charges

What are Free Engineering Journals?

The journals cover the branches of engineering as, civil, mechanical, quantum, chemical, industrial and software engineering and more, covering its different subjects as well. They are generally funded by govt. institutes, research institutes, universities or colleges. With these journals scholars can easily publish papers for free.

How These Journals Help you to Publish Papers?

When you are going to write for the research paper, do have clarity that it should be written with honesty and not copied, this protects you to avoid plagiarism and makes your research genuine. Write the paper in a standardized format which qualifies the basic standards of journal paper publication. Submit the paper in the journal which gives free submission access.
Free does not mean zero charges, there can be some hidden fee. Always check in the official site of the journals to assure charges or free because every journal which promise free publication is not always true. Check for the following traits in a free engineering journal;

• Publishes engineering field related papers
• Open access and gives free reading facility of already published articles
• Fast publication capacity with double blind review process
• Free and do not charge a high amount
• Provides paper submission guidelines and transparent payment process (when charges)
• Has high impact factor, more citations
• Give ISSN and DOI following journal policies.
• Digital publication certificate
• Better number of audience and known world wide

Give your academic journey a new direction, publishing your paper in a free journal but this requires a well written and formatted research paper, which proves its reliability among the disciplines as it is not easy to get easily publish research work for free.

Published by: Neeraj Mishra

Authors: Rohit Sunil Khedkara, Sharad Dhanvijay

Abstract: The escalating atmospheric CO₂ concentration and its contribution to global climate change have driven intensive research into carbon capture technologies. Ionic liquids (ILs) have emerged as promising alternatives to conventional amine-based absorbents, offering unique advantages including negligible vapor pressure, exceptional thermal stability, and tunable physicochemical properties through rational cation-anion design. This comprehensive review examines the full spectrum of ionic liquid applications in CO₂ capture, from fundamental absorption mechanisms to process-scale implementations. Physical absorption in conventional ILs, chemisorption in task-specific ILs incorporating amine, carboxylate, and amino acid functionalities, and IL-based mixed absorbents are systematically analyzed. Structure-property relationships governing CO₂ solubility—including the influence of cation alkyl chain length, anion basicity, and functional group incorporation—are critically evaluated against experimental and computational data. Supported ionic liquid membranes (SILMs) and ionic liquid-based mixed matrix membranes for CO₂ separation are reviewed, highlighting permeability-selectivity trade-offs and stability considerations. Process configurations including IL-based absorption-desorption cycles, membrane contactors, and hybrid systems are assessed for energy consumption and economic viability. Recent advances in computational screening, machine learning-guided IL design, and process intensification are presented. Key challenges including high viscosity, long-term stability under operating conditions, absorbent regeneration energy, and scale-up economics are addressed. Finally, future directions toward industrial implementation are discussed, emphasizing the integration of ILs with renewable energy sources and the development of sustainable, cost-effective capture technologies.

DOI: https://doi.org/10.5281/zenodo.19050263

 

Published by: vikaspatanker

Authors: Won Kuk Jin, Choe Jin Hyok

Abstract: Window design is a critical factor significantly influencing building aesthetics, daylighting performance, visual comfort, and energy consumption. Conventional energy-saving strategies often rely on reducing window area, which negatively impacts architectural aesthetics and user satisfaction. This study proposes a novel form-oriented design approach that enhances energy efficiency while maintaining the window area. Four window geometries—flat, polygonal, protruded, and curved—were compared under identical area and material conditions. Key performance indicators included U-value, Solar Heat Gain Coefficient (SHGC), cooling and heating loads, and daylighting performance. The analysis revealed that curved windows achieved the highest cooling performance with an 18.2% reduction in cooling load but exhibited a significant drawback with an 8.2% increase in heating load, indicating substantial winter heat loss. Protruded windows showed a minimal cooling load reduction of only 0.3% and a 3.6% increase in heating load. Polygonal windows demonstrated the most balanced performance, with a 7.1% reduction in cooling load and a 3.8% increase in heating load. These results suggest that in a cold climate like Pyongyang, winter heating performance has a greater impact on annual energy consumption than summer cooling performance, implying that window form selection should not be based solely on summer performance.

DOI: https://doi.org/10.5281/zenodo.19049364

Published by: vikaspatanker

Authors: Devansh Indrodiya, Shivangi Patel

Abstract: The integration of Large Language Models (LLMs) into modern search engines has significantly transformed digital discoverability, shifting search behavior from deterministic webpage ranking to probabilistic entity citation within AI-generated responses. Unlike traditional search engines that present ordered lists of hyperlinks, generative search systems synthesize contextual answers and selectively cite businesses based on semantic relevance, trust signals, review sentiment, and inferred user intent. This transformation challenges conventional Search Engine Optimization (SEO) strategies that were originally designed to optimize positional ranking rather than inclusion within generative responses. This paper introduces Generative Engine Optimization (GEO), a geospatial artificial intelligence framework designed to model, measure, and improve business visibility in generative search environments. The proposed framework integrates geospatial analysis, semantic entity recognition, and machine learning–based prediction models to evaluate discoverability within AI-generated responses. A monitoring system called GeoRank360 is developed to track business citations across multiple generative platforms and compute a unified metric termed the Generative Visibility Score (GVS), which incorporates citation frequency, semantic prominence, sentiment strength, entity consistency, and temporal stability. An empirical evaluation conducted across 100 local businesses, five generative search platforms, 500 query variations, and over 4,000 geo-grid coordinates reveals spatial visibility volatility ranging from 35% to 60%, substantially higher than fluctuations observed in traditional search rankings. Predictive modeling achieves up to 87.1% accuracy in forecasting generative citation outcomes. The results indicate that semantic relevance exerts greater influence than geographic proximity in determining visibility within generative search responses. The proposed GEO framework establishes a foundation for future research in generative search visibility modeling, semantic ranking analysis, and AI-driven local discovery systems.

Published by: vikaspatanker