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Neudesin is involved in anxiety behavior: structural and neurochemical correlates

Ashley eNovais, Ashley eNovais, Ana Catarina Ferreira, Ana Catarina Ferreira et al. • Frontiers in Behavioral Neuroscience (2013)

Neudesin (also known as neuron derived neurotrophic factor, Nenf) is a scarcely studied putative non-canonical neurotrophic factor. In order to understand its function in the brain, we performed an extensive behavioral characterization (mot...

DOAJ Open Access (DOAJ) DOI: 10.3389/fnbeh.2013.00119

Toward a Fit-for-purpose Policy Architecture on Long-term Care in Sub-Saharan Africa: Impasse and a Research Agenda to Overcome it

Isabella Aboderin • Journal of Long-Term Care (2019)

Context: Perspectives from sub-Saharan Africa (SSA) have featured little in the expanding global debate on long-term care (LTC) policy thus far – despite SSA countries’ embrace of global commitments on the development of equitable and susta...

DOAJ Open Access (DOAJ) DOI: 10.31389/jltc.5

Menstrual Health Education Using a Specialized Large Language Model in India: Development and Evaluation Study of MenstLLaMA

Prottay Kumar Adhikary, Isha Motiyani, Gayatri Oke, Maithili Joshi et al. • Journal of Medical Internet Research (2025)

Abstract BackgroundThe quality and accessibility of menstrual health education (MHE) in low- and middle-income countries, including India, remain inadequate due to persistent challenges (eg, poverty, social stigma, and gender in...

DOAJ Open Access (DOAJ) DOI: 10.2196/71977

Natural Language Processing

Abhimanyu Chopra, Abhinav Prashar, Chandresh Sain • Natural language processing (2013)

ABSTRACT: Language is way of communicating your words Language helps in understanding the world,we get a better insight of the world. Language helps speakers to be as vague or as precise as they like. NLP Stands for natural language process...

OPENALEX DOI: https://doi.org/10.1075/nlp

Humor and Resistance in Pakistani Corporate Memes

Aneeqa Ahmad, Musarrat Azher, Muhammad Asim Mahmood • NUML Journal of Critical Inquiry (2025)

This study aims at investigating how humor is constructed in corporate memes through cognitive mechanisms and how corporate memes are used as a collective voice by Pakistani employees to express discontent with their work culture and organi...

DOAJ Open Access (DOAJ) DOI: 10.52015/numljci.v23iII.296

Quaternions in Computer Vision and Robotics

Edward Pervin, Jon A. Webb • Defense Technical Information Center (DTIC) (1982)

Computer vision and robotics suffer from not having good tools for manipulating three-dimensional objects. Vectors, coordinate geometry, and trigonometry all have deficiencies. Quaternions can be used to solve many of these problems. Many p...

OPENALEX DOI: https://doi.org/10.21236/ada125076

Deep Learning-Based Land Cover Extraction from Very-High-Resolution Satellite Imagery for Assisting Large-Scale Topographic Map Production

Yofri Furqani Hakim, Fuan Tsai • Remote Sensing (2025)

The demand for large-scale topographic maps in Indonesia has significantly increased due to the implementation of several government initiatives that necessitate the utilization of spatial data in development planning. Currently, the nation...

DOAJ Open Access (DOAJ) DOI: 10.3390/rs17030473

Face mask mandates alter major determinants of adherence to protective health behaviours in Australia

Matthew Ryan, Jinjing Ye, Justin Sexton, Roslyn I. Hickson et al. • Royal Society Open Science (2025)

Face mask wearing is a protective health behaviour that helps mitigate the spread of infectious diseases such as influenza and COVID-19. Understanding predictors of face mask wearing can help refine public health messaging and policy in fut...

DOAJ Open Access (DOAJ) DOI: 10.1098/rsos.241941

Accelerated Prediction of Terahertz Performance Metrics in GaN IMPATT Sources via Artificial Neural Networks

Santu Mondal, Sneha Ray, Aritra Acharyya, Rudra Sankar Dhar et al. • IEEE Access (2025)

This work investigates the application of artificial neural network (ANN)-based regression models to predict the static and dynamic characteristics of GaN impact avalanche transit time (IMPATT) sources in the terahertz (THz) frequency regim...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2025.3567410

Evaluation of the Applications of using Global free Digital Elevation Models and GNSS-RTK data for Agricultural purposes in Egypt using Machine Learning

Ashraf abdallah, Bara' Al-MISTAREHI, Amir SHTAYAT • JES: Journal of Engineering Sciences (2025)

Agriculture is a vital component of Egypt's economy; therefore, using Digital Elevation Models (DEMs) in agricultural planning in Egypt has significant benefits regarding water management, site appropriateness assessment, flood risk mitigat...

DOAJ Open Access (DOAJ) DOI: 10.21608/jesaun.2024.326709.1374

Hyperspectral imaging for the detection of plant pathogens in seeds: recent developments and challenges

Luciellen da Costa Ferreira, Ian Carlos Bispo Carvalho, Lúcio André de Castro Jorge, Alice Maria Quezado-Duval et al. • Frontiers in Plant Science (2024)

Food security, a critical concern amid global population growth, faces challenges in sustainable agricultural production due to significant yield losses caused by plant diseases, with a multitude of them caused by seedborne plant pathogen. ...

DOAJ Open Access (DOAJ) DOI: 10.3389/fpls.2024.1387925

Anti-corruption laws as a pillar of national security protection: wartime peculiarities

Tetiana Madryha, Olena Berezovska-Chmil, Yuliia Kobets, Valerii Bortnikov et al. • Ius Humani (2025)

The analysis focuses on how anti-corruption rules ensure both national security and support it during times of war when corruption endangers stability. Our study checks if existing anti-corruption rules and institution systems help protect ...

DOAJ Open Access (DOAJ) DOI: 10.31207/ih.v14i1.415

Artificial Intelligence and Sustainable Decisions

Jingchen Zhao, Beatriz Gómez Fariñas • European Business Organization Law Review (2022)

Abstract When addressing corporate sustainability challenges, artificial intelligence (AI) is a double-edged sword. AI can make significant progress on the most complicated environmental and social problems faced by humans. On the other han...

OPENALEX cc-by DOI: https://doi.org/10.1007/s40804-022-00262-2

Prediction of bank transaction fraud using TabNet—an adaptive deep learning architecture

B.S. Prashanth, Manoj Kumar, Ariful Hoque, Nasser Al Muraqab et al. • International Review of Economics & Finance (2026)

The development of online banking has brought about an increase in fraudulent operations, which is a major problem for banks. This study delves into the urgent requirement for interpretable, scalable, and top-notch fraud detection systems b...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.iref.2026.104916

FinTech in Russia under circumstances of IT technologies development: development challenges and solutions

Ponomareva M.A., Karpukhin D.V., Stolyarova A.N. • E3S Web of Conferences (2020)

In modern Russia, the FinTech is relevant to the development of the financial segment of the economy. The Government evaluates the prospects of development of artificial intelligence technology, blockchain, big data in the area of budget, t...

DOAJ Open Access (DOAJ) DOI: 10.1051/e3sconf/202022403030