The growing recognition of Psychological Science education as a domain that demands higher-level thinking has revealed that students still exhibit chronic shortcomings in self-regulated learning (SRL) and critical thinking. Reports indicate that about 42% of undergraduate psychology students have low metacognitive monitoring accuracy, and more than...

By Nodira Fazilova, Khurshida Komilova, Olmos Avezov, Fatima Nazarova, Salima Akhmedova, Muzaffar Xaydarov, Rano Alimardanova

In this study, the authors examine how journalism affects the societal awareness regarding 2D nanomaterials and their use in photocatalysis, using the content of the press from 2000 to 2025. The analytical approach and historical approach of the study help them to comprehensively examine a variety of sources, such as newspapers, archival repositori...

By Ala'a A. Al-Majdi, Safaa M. Almudhafar

The application of sand as shell materials in zoned earth dams is common due to its availability and economic factors. Nevertheless, it is necessary to analyze the performance of such materials under the simultaneous effect of seepage and earthquake loads, especially when the core of the structure is formed from low permeable materials. The present...

By Hussein Jassim Abdulsameea, Saleh Issa Khassaf

Clinically-oriented AI-based diagnostic systems have exhibited impressive predictive accuracies; however, their poor interpretability capabilities and incapability to optimize their learning parameters in  eal-time pose a major challenge towards implementing such solutions in the actual healthcare settings. To overcome such limitations, in thi...

By A Vaideghy, V Sridevi, D Saraswathi, L. S Sindhuja

Low back pain can be caused by lumbar disc disorders; however, correct segmentation of the structures of the vertebrae and the disc disorders using MRI is crucial for clinical evaluation. In this case, previous deep-learning segmentation approaches have mainly concentrated on the segmentation of anatomical structures and lacked pathology-aware disc...

By Rana Riyadh Saeed, Muhammad Amir As’ari, Ahmad Zahran Md Khudzari, Ahmed Sabeeh Yousif, Hadeel Mohamed Farook Alhialy, Mohamed Muyaser Naif

Ho Chi Minh City, historically known as Saigon, is being redeveloped at a pace that places pressure on heritage values located beyond protected monuments and colonial-era buildings. This study examines how earlier hydrological, settlement, commercial, defensive, administrative, and metropolitan structures remain visible or latent in the present urb...

By Minh Hieu Nguyen, Ngoc Quynh Giao Pham, Thi Minh Dieu Nguyen

In the contemporary context, non-volatile-based Resistive Random-Access Memory devices are one of the most promising and emerging technologies. It is one of the top alternatives for industrialists since they are considered to offer neuromorphic in-computing capacity. This study aims to build a 2T2R RRAM cell with reduced power dissipation compared ...

By Ancy Joy, Jinsa Kuruvilla

This paper derives a novel direct model predictive based power controller (DMPPC) for renewable energy systems (RES) to address voltage fluctuations caused by varying power demands and renewable source outputs. This method utilizes the bi-directional DC-DC converter in the Battery Energy Storage (BES) System to level the renewable energy output, al...

By P. Sai Sampath Kumar, P. Suresh, D. Lenine

Inclusive education aims to provide all children, irrespective of their capabilities, with equal opportunities to learn and participate meaningfully. For students who have speech and hearing disabilities, conventional classrooms often act as communication barriers which inhibit their participation and academic advancement. This study focuses on the...

By Akbarbek Allashev, Muyassar Akhmedova, Diyora Karimova, Shakhnoza Khujamberdieva, Sayyora Davidova, Nasiba Bayturaeva, Manzila Khabibova, Dilfuza Abdullayeva

Terrain Type Identification is an essential aspect of environmental monitoring, urban planning, and resource management. This study discusses a comparative investigation of the effectiveness of three Convolutional Neural Network (CNN) architectures Simple CNN, ResNet-50, and the Enhanced Efficient CNN Model which is Efficient Net in training with t...

By V. Sahaya Sakila, R. Sujeetha, S.V. Ramanathan, M. Adhithya Raj, B. Philip Regin