BRAIN. Broad Research in Artificial Intelligence and Neuroscience

04/01/2026

🚀 𝐁𝐢𝐠 𝐍𝐞𝐰𝐬! 𝐖𝐞’𝐫𝐞 𝐄𝐱𝐩𝐚𝐧𝐝𝐢𝐧𝐠 𝐎𝐮𝐫 𝐒𝐨𝐜𝐢𝐚𝐥 𝐌𝐞𝐝𝐢𝐚 𝐏𝐫𝐞𝐬𝐞𝐧𝐜𝐞! 🎉

We’re thrilled to announce that our journal is growing its presence across social media! 🌍✨
You can now find us on X, where we’ll share updates, insights, and connect with our community in real time 🐦💬

👉 𝑭𝒐𝒍𝒍𝒐𝒘 𝒖𝒔 𝒐𝒏 𝑿 𝒉𝒆𝒓𝒆: https://x.com/brain_edusoft

And that’s not all! 🙌
We’re also active on:
🔹 LinkedIn: https://www.linkedin.com/company/brain-broad-research-in-artificial-intelligence-and-neuroscience 💼📊
🔹 Instagram: https://instagram.com/brain_edusoft 📸🎨

Join us on all our platforms to stay updated, engage with our content, and be part of our journey as we explore ideas, research, and innovation together! 💡📚
Let’s connect, share, and grow — see you online! 🚀✨

03/01/2026

🎉✨ Happy New Year 2026! ✨🎉
As we step into 2026, we send our warmest wishes to all authors, readers, editors, and reviewers of the journal BRAIN. Broad Research in Artificial Intelligence and Neuroscience 🧠🤖📚
May this new year bring you:
🌟 Prosperity and success in all your academic and personal endeavors
💙 Good health, peace, and balance
🤝 Strong and inspiring scientific collaborations across disciplines and borders
📈 Innovation, creativity, and courage in research
📝 Valuable, impactful articles that advance knowledge and shape the future of AI and neuroscience
Thank you for your dedication, rigor, and passion for science! May 2026 be a year of breakthrough ideas, meaningful publications, and shared achievements 🚀🔬
🥂 Cheers to knowledge, discovery, and a brilliant year ahead!
Happy 2026! 🎆🎊
🌐✨ Visit us at: https://brain.edusoft.ro
📖🔍 Stay curious. Stay inspired. Stay connected! 💡💙

29/12/2025

Creativity costs nothing.
At BRAIN. Broad Research in Artificial Intelligence and Neuroscience, we are committed to supporting authors who are also educators and wish to bring the key insights of their latest research into the classroom. We make this possible in an engaging and playful way, through our BRAIN Journal Crossword Challenge app — a gamified approach that transforms learning into an interactive and inspiring experience.

Access our application at: https://brain-crossword.edusoft.ro/

28/12/2025

BRAIN Forge is a dedicated tool designed to support authors writing for the BRAIN journal.

28/12/2025

✨ 𝐁𝐑𝐀𝐈𝐍 𝐅𝐨𝐫𝐠𝐞 – The Architect That Helps You Build Your Research Article ✨

The BRAIN Journal Team – Broad Research in Artificial Intelligence and Neuroscience is excited to announce the development of the fourth application dedicated to authors who wish to publish in the journal! 🚀📘

💡 This application is designed for researchers who have an article idea but are not yet fully confident about how to structure it, what elements to include, or how to turn an initial concept into a coherent scientific contribution.

🧠 BRAIN Forge will support users in shaping their research ideas, defining objectives, establishing methodology, planning research stages, and identifying essential aspects related to research ethics and good academic practice.

⏳ The application is a tool designed to transform ideas into solid, well-structured scientific articles is on the way! 🚀📚

❗️BRAIN Forge can be accessed at
👉 https://brain-forge.edusoft.ro

🔐 Access information:
It requires a code that can be obtained by emailing [email protected], mentioning the intention to submit an article for publication in the BRAIN journal.

26/12/2025

26/12/2025

We are pleased to present the article “Performance Assessment of Neural Networks in Medical Treatment Cost Estimation” 🤖📊💡, authored by Kristijan Cincar, Andrea Amalia Minda, and Marius Susa, representing leading academic institutions in Romania 🇷🇴🎓.

This study explores the application of artificial intelligence and neural network models in the complex task of estimating medical treatment costs 🏥💰. Using simulated healthcare data, the authors compare the performance of three advanced approaches — Feedforward Neural Networks, LSTM networks, and 1D Convolutional Neural Networks (CNNs) — to identify the most accurate predictive model.

👉DOI: http://dx.doi.org/10.70594/brain/16.S1/8

Through detailed performance analysis using standard metrics such as MAE, MSE, and RMSE, the research demonstrates that the 1D CNN model delivers superior accuracy and reliability 📈✅. The inclusion of visual analytics further enhances the understanding of model behavior and variable interactions.

This work highlights the strong potential of AI-driven solutions in supporting medical decision-making, cost estimation, and resource optimization, especially in environments where real-world clinical data may be limited or sensitive 🧠💻.

Overall, the study offers a valuable contribution to the growing field of healthcare analytics, showcasing how advanced machine learning techniques can improve efficiency, transparency, and strategic planning in modern medical systems 🚀🩺.

25/12/2025

📢 Coming Soon in BRAIN – March 2026 Issue!

We are pleased to announce that the next issue of BRAIN. Broad Research in Artificial Intelligence and Neuroscience will feature a thought-provoking study titled:

🧠 “Causality in the Brain and AI During Information Processing: Subjective Value of Information Cooperates with Physical Processes”

🔍 About the study
This interdisciplinary research explores how information is processed in the human brain and in artificial intelligence systems, emphasizing the causal role of subjective value in both domains. The authors argue that mental phenomena play a fundamental role in organizing and directing information processing in the brain, and that even in AI systems—despite their purely physical nature—the driving force behind information processing remains human subjective values.

The paper discusses the Bottom-Up and Top-Down mechanisms of information integration, highlights the inseparability of physical and mental processes, and proposes that a true theory of brain information activity cannot exist without acknowledging the functional role of consciousness and subjectivity. The study also offers a deep reflection on how human intentionality and value systems continue to guide and shape modern AI technologies.

📘 Stay tuned for this insightful contribution that bridges neuroscience, psychology, and artificial intelligence—only in the March 2026 issue of BRAIN!

25/12/2025

We are pleased to present the article “Mathematical Creativity: A Peircean Abductive Proposal”, authored by Paniel Reyes Cárdenas (University of Sheffield, UK) and Jorge Alejandro Flórez (Universidad de Antioquia, Colombia).

DOI: http://dx.doi.org/10.70594/brain/16.1/26

This thought-provoking paper explores mathematical creativity through the philosophical framework of Charles Sanders Peirce’s concept of abduction, understood as the logical process through which new ideas and hypotheses emerge. The authors argue that mathematical discovery is not merely deductive or inductive, but fundamentally abductive, driven by the need to explain surprising or anomalous observations.

Drawing on examples from the history of mathematics—such as Wiles’ proof of Fermat’s Last Theorem and Perelman’s resolution of the Poincaré Conjecture—the article illustrates how creative reasoning operates through diagrammatic thinking, experimentation, and conceptual exploration. This approach highlights the active, inventive nature of mathematical practice, where intuition and structured imagination play a central role.

By connecting Peirce’s philosophy with contemporary reflections on mathematical practice, the authors offer a compelling perspective on creativity in mathematics and align their analysis with broader calls for a synthetic and practice-oriented philosophy of mathematics, as advocated by thinkers such as Fernando Zalamea.

This contribution provides valuable insights for philosophers of science, mathematicians, and educators interested in understanding how mathematical knowledge is genuinely created, not merely formalized.

25/12/2025

We are pleased to present the article “Sexual Desire Disorder and Major Affective Distress: Implications and Therapeutic Interventions”, authored by Dan Octavian Rusu (Babeș-Bolyai University of Cluj-Napoca) and Cristian Delcea (Sexology Institute of Romania).

DOI: http://dx.doi.org/10.70594/brain/16.2/19

This paper offers an in-depth and clinically relevant exploration of the complex relationship between sexual desire disorder (SDD) and major depressive disorder (MDD), two conditions that frequently coexist and significantly impact emotional well-being, intimate relationships, and overall quality of life. Drawing on a comprehensive review of current scientific literature, the authors examine the psychological, relational, and biological mechanisms that link these conditions.

The study emphasizes the importance of a biopsychosocial perspective, highlighting how emotional vulnerability, family history, relational stressors, and individual coping mechanisms interact in the development and persistence of sexual and affective disorders. Special attention is given to the role of cognitive-behavioural therapy (CBT) and couples therapy, which emerge as effective interventions for improving communication, reducing distress, and restoring relational balance.

By integrating evidence from clinical studies and therapeutic practice, this work underscores the value of personalised and interdisciplinary approaches in mental health care. It also reinforces the importance of early identification, prevention of relapse, and coordinated therapeutic strategies for individuals affected by sexual desire disorders and associated mood disturbances.

Overall, this article provides a thoughtful and clinically grounded contribution to the understanding and treatment of complex affective and relational conditions, offering valuable insights for mental health professionals and researchers alike.

25/12/2025

We are pleased to highlight the article “Assessment of Suicidal Risk through Clinical Scales: A Comparative Analysis of Measurement Tools and Their Effectiveness in Psychiatric Practice”, authored by Horia George Coman, Romulus Dan Nicoară, Ana-Maria Nicoară, and Codruța Alina Popescu from the Iuliu Hațieganu University of Medicine and Pharmacy, Cluj-Napoca.

This paper provides a clear and well-structured overview of the most widely used clinical instruments for su***de risk assessment, including the BSS, C-SSRS, SBQ-R, and SS scales. The authors examine their psychometric properties, clinical applicability, and relevance for different patient groups, emphasizing the importance of accurate and timely risk evaluation in psychiatric practice.

By comparing these tools, the study highlights how structured assessment can improve early identification of suicidal behavior and support more informed clinical decision-making. The authors also underline the need for continuous refinement of assessment methods in response to evolving clinical and societal challenges.

Overall, this contribution offers valuable guidance for clinicians and mental health professionals seeking reliable approaches to su***de risk evaluation and reinforces the essential role of standardized assessment tools in prevention strategies.

DOI: http://dx.doi.org/10.70594/brain/15.4/10

25/12/2025

We are pleased to present the article “Linear Programming Tool for the Optimization of Mixed Biomass Fuel Recipes”, authored by Dorin Alexandru Ionica, Ștefan Alfred Mariș, Raluca Dicu, and Simina Mariș, representing the Politehnica University of Timișoara and the Ioan Slavici University of Timișoara.

DOI: http://dx.doi.org/10.70594/brain/v10.i3/14

This study addresses an important challenge in the field of renewable energy, focusing on the efficient use of biomass-based fuels such as pellets and briquettes. The authors propose a linear programming–based optimization tool designed to identify optimal biomass mixtures that maximize calorific value while complying with technical and environmental constraints, including ash content and pollutant emissions.

By developing a structured database of locally available biomass resources and modelling fuel properties using validated mathematical approaches, the study offers a practical and scientifically grounded method for improving biofuel quality and performance. The proposed tool supports informed decision-making in the production of solid biofuels and contributes to the broader goal of sustainable energy development.

From the editorial perspective, this work represents a valuable contribution to applied energy research, combining engineering optimization, environmental responsibility, and practical applicability in the context of renewable energy systems.