Optimizing concrete strength: How nanomaterials and AI redefine mix design by Dan Huang, Guangshuai Han, Ziyang Tang

“…Beyond its technical contributions, this study emphasizes the broader impact of integrating machine learning into concrete research, paving the way for more sustainable, efficient, and data-driven approaches in the development of advanced construction materials.…”
Get full text

Resource Optimization for Grid-Connected Smart Green Townhouses Using Deep Hybrid Machine Learning by Seyed Morteza Moghimi, Thomas Aaron Gulliver, Ilamparithi Thirumarai Chelvan, Hossen Teimoorinia

Get full text

The Term ‘Ebda’ in the Comparative View of Fakhr Razi and Allameh Tabatabai by Mohammad Bahrami

“…Keywords: Fakhr Razi, Allameh Tabatabai, Innovation (Ebda), Invention (Ekhtera), Creation (Khalg), Development. IntroductionIn human knowledge, certain terms acquire specialized meanings, forming a system of concepts. …”
Get full text

Innovative Approaches to Rhizosphere Engineering with Plant Growth Promoting Microorganisms in Agricultural Practices by Hafiz Muhammad Sultan, Muhammad Ali Raza, Maria Fatima, Tehseen Sajid, Faizan e-Mustaffa, Munawar Ali, Sania Hassan, Syeda Areej Imran, Hafiza Malaika Choudhary, Zirwa Mussawar

“…Plant development and yield were enhanced under nutrient-rich rhizosphere conditions. …”
Get full text

The Communicative Paradox: Notebooks and Workbooks of the Russian Avant-garde “Big Three” by Lyubov V. Khachaturian

Get full text

Towards Competence-based Practices in Vocational Education – What Will the Process Require from Teacher Education and Teacher Identities? by Säde-Pirkko Nissilä, Asko Karjalainen, Marja Koukkari, Pirkko Kepanen

Get full text

Microstructural characterization and hardness prediction of AlCuCrFeNi high entropy alloys using Transformer-based Physics-Informed Neural Networks (T-PINN) by Mohamed Yasin Abdul Salam, Enoch Nifise Ogunmuyiwa, Victor Kitso Manisa, Abid Yahya, Irfan Anjum Badruddin

“…To predict the hardness properties quantitatively, a Machine Learning (ML) model using a Transformer-based Physics-Informed Neural Network (T-PINN) was developed. The T-PINN model demonstrated high accuracy, with a Root Mean Square Error (RMSE) - 0.048, Mean Absolute Error (MAE) of- 0.036, and R-square (R2) - 0.97 values, respectively. …”
Get full text

Quality balanced scorecard for the outpatient clinic by O. A. Latukha, I. M. Son, Yu. I. Bravve, A. V. Kalinichenko, E. A. Pushkareva, K. S. Tolstova

“…The use of a process and system approach in developing quality criteria allows developing a quality balanced scorecard with respect to the criteria of various groups, which ultimately reflects the effectiveness of processes as a whole, provides an understanding of cause-and-effect relationships and identifies the root cause of destabilization.…”
Get full text

Investigation of antiseptic activity of clay minerals enriched with anthocyanins

“…The authors set the task to develop and test in clinical dentistry an alternative method of exposure of anthocyanins-rich clays in the biocoenosis of the root canal system and periapical tissues. …”
Get full text

Design and Testing of a Self-Propelled Fork-Tooth Harvester for Medicinal Plant Rhizomes by Long Wang, Wei Sun, Luhai Zhang, Ming Zhao, Petru A. Simionescu

Get full text

Food value chains configurations and resilience of rural mountain communities: three dairy business models in central Apennines (Italy) by Angelo Belliggiano, Corrado Ievoli, Sara Bispini, Mauro Conti

“…The research was held in “Alto Molise,” a mountain area embedded in a small region of southern Italy, focusing on the dairy value chain of the “caciocavallo cheese,” historically rooted in the socio-ecological system of the mountain reference landscape. …”
Get full text

Integrating high-performance computing, machine learning, data management workflows, and infrastructures for multiscale simulations and nanomaterials technologies by Fabio Le Piane, Mario Vozza, Matteo Baldoni, Francesco Mercuri

“…The integration of methodologies rooted in knowledge and structured information management serves as a foundational element, establishing a framework for representing materials-related information and ensuring interoperability across a diverse range of tools. …”
Get full text

Timeless Heritage Meets Modern Elegance: A Comparative Study of Al Fahidi and Salmaniah Architecture by Gul Yasmeen

“…Both regions are deeply rooted in cultural traditions and architectural brilliance, showcasing unique responses to their respective climates, societal needs, and historical contexts. …”
Get full text

FEATURES OF THE FORMATION OF PRODUCTIVITY AND ADAPTIVE REACTIONS IN LEGUMINOUS CROP VARIETIES WITH RECESSIVE ALLELES OF GENES by S. N. Agarkova, N. E. Novikova, R. V. Belyaeva, E. V. Golovina, Zh. A. Belyaeva, Z. R. Tsukanova, N. I. Mit’kina

“…Researches were carried out on varieties, hybrids, isogenic lines and mutants of peas of various use developed from the beginning of the 1980s up to 2013. …”
Get full text

Interaction Effects of Cucumber Varieties and Pruning Methods Across Different Growth Stages by Chen Cheng, Chaoyang Dong, Lu Wu, You Wu, Jiali Wang, Zhihong Gong, Liping Feng, Zhenfa Li, Feiyun Yang, Shenghong Zheng

“…In order to investigate the stage plant architecture and productivity characteristics of different cucumber varieties and pruning methods and to construct a comprehensive productivity evaluation system based on plant architecture parameters, this study used JY35 and JS206 as experiment materials and conducted a dual factor control experiment with variety and pruning methods (single-stem pruning (SP) and natural growth (NG)) to systematically analyze the key phenotypic characteristics and productivity indicators of cucumbers at different developmental stages based on variance analysis and principal component evaluation. …”
Get full text

A convolutional neural network-based deep learning approach for predicting surface chloride concentration of concrete in marine tidal zones by Mohamed Abdellatief, Mahmoud E. Abd-Elmaboud, Mohamed Mortagi, Ahmed M. Saqr

“…However, traditional assessment methods are time-consuming and impractical, necessitating advanced predictive models. This study developed a deep learning-based framework utilizing a convolutional neural network (CNN) trained on 284 samples with 11 critical features related to material composition and environmental conditions. …”
Get full text

The effect of the <i>Ant25</i>, <i>Ant26</i> and <i>Ant27</i> loci controlling proanthocyanidin synthesis in barley (<i>Hordeum vulgare</i> L.) grain on plant growth and developmen... by I. V. Totsky, R. Li, O. Yu. Shoeva

“…Materials and methods. The weight of grains, roots and shoots, the length of the main shoot, and the number of lateral shoots were measured in mutants and original cultivars grown in a hydroponic greenhouse. …”
Get full text

EXPLORING THE REGENERATIVE CAPACITY OF ARCHITECTURE IN THE ANTHROPOCENE ERA THROUGH ANNA HERINGER'S ARCHITECTURE by Kübra Sağlam, Kübra Bıyuk Öksüz

“…It discusses how Heringer's architecture, rooted in local materials, energy sources, and global knowledge, demonstrates regenerative potential. …”
Get full text

Evolution endodontic obturation of systems as indicator of technical progress in stomatology

“…People always dealt with this problem, according to the level of their scientific and technical development. Today, there is a large number of methods of an obturation of the root channel. …”
Get full text

Preparation of SDF-1α-loaded electrospun coaxial microspheres and their study on promoting migration and differentiation of dental pulp stem cells by Wenjie Feng, Chao Li, Qun An, Shaojing Shi, Yuanfei Wang, Guanfan Lu, Degang Sun

Get full text