The large-scale adoption of neuro-symbolic foundation models poses a critical challenge: zero-shot knowledge transfer is hindered by mismatches in latent distributions, modality heterogeneity, and discrepancies between symbolic and neural representations. In the following paper, a Cross-Domain Latent Space Alignment (CDLSA) framework will be propos...

By Alijon Anvarov, Jonibek Berdikulov, Azizjon Begaliev, Zulxumor Djurayeva, Khaydar Kamilov, Soniya Islyamova, Guzal Ergasheva

The rapid development of digital learning technologies has raised concerns about credential fraud, centralized data, restricted learner mobility, and limited epistemic agency. Traditional credentialing systems, generally organised by universities, accreditors, and centralised systems, restrict students' autonomy by lacking ownership, portability, a...

By Surayyo Sanayeva, Gulchehra Meliqozieva, Gavkhar Tursunova, Elvira Tadjikhodjaeva, Feruz Ganjiev, Surayyo Eshboyeva, Ashur Yaxshiyev

Based on an analysis of the mediating impact of digital literacy, platform accessibility, and digital ecosystem trust, this paper examines the impact of quick commerce (q-commerce) on financial inclusion in urban India. Reliability analysis, correlation analysis, multiple regression analysis, and parallel mediation analysis were used using survey d...

By P Hameem Khan, P. Muni Sravan Kumar Reddy, R. Aravind, G. Nagaraju, N. Pavani, E. Sathiya Priya

Beach ecosystems are important to biodiversity, tourism and coastal livelihoods yet are also facing the growing threat of plastic pollution and marine litter. Although the world has been working towards ensuring sustainability, young children especially the preschoolers are a group that is not fully addressed in terms of environmental education. Th...

By Ellena John, Lim Chen Kim

Even today, one of the main reasons for mortality among females is breast cancer, whose effective treatment needs earlier detection. In this work, a new methodology based on spatial-temporal Deep Learning for detecting and classifying breast tumors through the use of Convolutional Neural Networks (CNN) and Convolutional Gated Recurrent Unit (ConvGR...

By A. Aarthi, Smitha Elsa Peter

Adaptive Modulation and Coding (AMC) is a key principle that increases spectral efficiency, reliability, and capacity in high-data-rate mmWave wireless communication systems. But AMC strategies depend upon static threshold-based rules that generally struggle to perform well in varying channel conditions. In this study, an innovative HO-DNN architec...

By M.N. Divya, S.N. Rekha, C.S. Asha, S. Ramya, L. Lakshmaiah, J. Narendra Babu, A. Sathish

It is well-known that the construction industry ranks among those industries in which there are many cases of injury and workplace accidents for workers despite the advances in the development of various safety regulations and management practices. This paper aims at examining the role of OHSMS in mediating the relationship between ergonomic design...

By I. Ketut Sutapa, I. Gede Fery Surya Tapa, I. Wayan Sujahtra, Putu Hermawati, I. Ketut Parti, I. Wayan Intara

The fast-paced development of the securities industry of Vietnam led to higher competition among enterprises and the necessity to discover the factors that determine the financial performance of various market segments. There is scarce literature concerning the financial performance of small, unlisted and UpCom securities firms, as previous studies...

By Minh Tien Cao, Be Thi Thanh Loan, Truong Thị Duc Giang, Huong Tra Pham, Mai Quynh Pham, Viet Ninh Vu

The incorporation of renewable energy sources and smart grids has resulted in the need for intelligent and adaptive energy management systems that are able to manage dynamic residential energy demands, uncertainties in renewable energy sources, and various constraints. Traditional optimization techniques and those based on artificial intelligence t...

By P. Bharath Kumar Chowdary, R. Sugumar, K. Saravanan, V.R. Vimal, R. Udayakumar

Placements at campus level are one of the most crucial events for engineering and computing students; however, institutes use simplistic cutoffs and subjective judgment methods to determine the placement status of their students. In this study, a classification system is proposed by introducing new operational cognitive readiness criteria which inc...

By Hameeda Khatoon, Chandra Prakash Vudatha