Analysis of the Contextual Factors Influencing the Expansion of Construction Violations with an Emphasis on the Role and Position of Key Urban Stakeholders (Case Study: Isfahan Met... by Ahmad Shahivandi, Afsaneh Talebi Varnosfaderani

“…This research aimed to identify the underlying factors and influential actors behind building violations, analyze the role of each factor, and examine the positions of key stakeholders involved. …”
Get full text

The mitigation of spatial constraint in porous environments enhances biofilm phylogenetic and functional diversity by Chengxia Fu, Yichao Wu, Søren J. Sørensen, Ming Zhang, Ke Dai, Chunhui Gao, Chenchen Qu, Qiaoyun Huang, Peng Cai

“…The neutral model analysis demonstrated that biofilm assembly within different pore spaces was predominantly governed by stochastic processes, while deterministic processes became more influential as pore space increased. …”
Get full text

Interfacial delamination on fan-out wafer-level package using finite element analysis by Ariel P. Conversion, Aristotle T. Ubando, Jeremias A. Gonzaga

“…Large temperature variations occur during these fabrication processes which can induce internal stresses and interfacial delamination due to the large thermal expansion mismatch. …”
Get full text

Soft-computing models for predicting plastic viscosity and interface yield stress of fresh concrete by Waleed Bin Inqiad, Muhammad Faisal Javed, Deema Mohammed Alsekait, Naseer Muhammad Khan, Majid Khan, Fahid Aslam, Diaa Salama Abd Elminaam

“…To get increased insights into the model prediction process, shapely and individual conditional expectation analyses were carried out on the XGB algorithm which highlighted that water, cement, and time after mixing are the most influential parameters to estimate both fresh properties of concrete. …”
Get full text

Numerical simulation of hotspot in polyol ester production using microwave-assisted reaction by Nur Atiqah Mohamad Aziz, Hassan Mohamed, Mei Yin Ong, Robiah Yunus, Ming Chiat Law, Hamidah Abd Hamid, Dina Kania, Teuku Meurah Indra Mahlia

“…This study also concluded that the dielectric properties of the TMPE sample layer and frequency are highly influential factors for microwave absorption and heat conversion. …”
Get full text

How is autonomy supported for people with dementia living in a nursing home, to what extent and under what circumstances? A realist evaluation by Henny van der Weide, Marleen H. Lovink, Katrien G. Luijkx, Debby L. Gerritsen

“…In streamlining care processes, working routines were influential to supporting autonomy. …”
Get full text

SELECTING THE OPTIMAL SCENARIO FOR THE SIMULTANEOUS APPLICATION OF DIAMOND WIRE CUTTING AND CHAINSAW MACHINES IN DIMENSIONAL STONE MINES USING SECA MULTI-CRITERIA DECISION-MAKING M... by Abbas Amou, Majid Ataee-pour, Satar Mahdevari

“…In the second scenario, in addition to the diamond wire cutting, a chainsaw machine was added to the mining process to cut the back face of the block. In the third to sixth scenarios, in addition to the diamond wire cutting to cut side faces, a chainsaw machine was added to the mining process to cut the bottom face of the block. …”
Get full text

Predicting biochar yield from biomass pyrolysis: A comprehensive data-driven approach using machine learning and SHAP analysis by Walid Abdelfattah, Munthar Kadhim Abosaoda, Krunal Vaghela, Gowrishankar J, Prabhat Kumar Sahu, Kamred Udham Singh, R. Sivaranjani, Rohit Chauhan, Siya Singla, Samim Sherzod

“…The dataset, comprising 14 chemical, physical, and reaction parameters collected from reputable studies, was processed using outlier detection via the Monte Carlo Outlier Detection (MCOD) algorithm and hyperparameter tuning to optimize model performance. …”
Get full text

Data-Driven and Mechanistic Soil Modeling for Precision Fertilization Management in Cotton by Miltiadis Iatrou, Panagiotis Tziachris, Fotis Bilias, Panagiotis Kekelis, Christos Pavlakis, Aphrodite Theofilidou, Ioannis Papadopoulos, Georgios Strouthopoulos, Georgios Giannopoulos, Dimitrios Arampatzis, Evangelos Vergos, Christos Karydas, Dimitris Beslemes, Vassilis Aschonitis

“…Additionally, the RF model exhibited high sensitivity to N fertilization, ranking N as the most influential variable in feature importance analysis. …”
Get full text

Artificial intelligence in wastewater treatment: Research trends and future perspectives through bibliometric analysis by Abdullah O. Baarimah, Mahmood A. Bazel, Wesam Salah Alaloul, Motasem Y.D. Alazaiza, Tharaa M. Al-Zghoul, Basheer Almuhaya, Arsalaan Khan, Ahmed W. Mushtaha

“…The application of advanced artificial intelligence (AI) techniques holds great promise in optimizing processes, enhancing predictive capabilities, and supporting informed decision-making in this critical domain. …”
Get full text

SHASI-ML: a machine learning-based approach for immunogenicity prediction in Salmonella vaccine development by Ottavia Spiga, Ottavia Spiga, Ottavia Spiga, Anna Visibelli, Francesco Pettini, Bianca Roncaglia, Annalisa Santucci, Annalisa Santucci, Annalisa Santucci

“…Global properties emerged as the most influential feature group in prediction accuracy, followed by structural and sequence information. …”
Get full text

Reliable estimation via hybrid gradient boosting machine for mud loss volume in drilling operations by Xiaozhi Lu, Farag M. A. Altalbawy, Tarak Vora, R. Manjunatha, Debasish Shit, Shirin Shomurotova, Akshay Kumar, Atreyi Pramanik, Ajay Sharma, Raed H. C. Alfilh, Samim Sherzod, Mohammad Mahtab Alam

“…Feature importance assessed through SHAP analysis revealed that hole size, formation type, and pressure differential were the most influential variables, while solid content had minimal effect.…”
Get full text

Decoding memory with explainable AI: A large-scale EEG-based machine learning study of encoding vs. retrieval by Mohammed Tawshif Hossain, Adnan Sami Sarker, Arnab Chowdhury, Rajesh Mitra, Raiyan Rahman, M.R.C. Mahdy

“…This study advances understanding of cognitive memory processes and supports the development of adaptive, memory-aware AI systems, contributing to both neuroscience and neurotechnology.…”
Get full text

Impact of plasticization temperature on the mechanical properties of sports mouthguards by Ester Stephany Rodrigues da Silva, Thales Ribeiro de Magalhães Filho, Simone Saldanha Ignácio de Oliveira, Karin de Mello Weig, Luise Gomes da Motta, Juliana Nunes da Silva Meirelles Dória Maia

“…The present study aimed to evaluate how the plasticization temperature of the sports mouthguards’ manufacturing process influences their mechanical properties and protective potential. …”
Get full text

Exploration of beta diversity across altitude gradients in an Alpine region in Trentino using FOSS4G and a historical floristic archive by F. Geri, F. Zottele, N. La Porta, C. Tattoni, P. Zatelli, M. Ciolli, M. Ciolli

“…GRASS, QGIS, PostGIS, and R were used to process data from 517 linear transects, encompassing 190,761 species records. …”
Get full text

Potato Peels as an Adsorbent for Heavy Metals from Aqueous Solutions: Eco-Structuring of a Green Adsorbent Operating Plackett–Burman Design by Marwa El-Azazy, Ahmed S. El-Shafie, Ahmed A. Issa, Maetha Al-Sulaiti, Jawaher Al-Yafie, Basem Shomar, Khalid Al-Saad

“…The Pareto chart of standardized effects shows that the most influential factor is the HMC. These data were confirmed by analysis of variance (ANOVA). …”
Get full text

DEVELOPMENT STRATEGY FOR SUNFLOWER OIL ENTERPRISES IN UKRAINE by Anastasiya Virkovska, Oksana Lotysh, Larysa Liakhovych, Nataliia Kostetska

“…Competitors and consumers are the most influential components, and the integral assessment of the meso-environment indicates favourable conditions for the development of sunflower oil enterprises. …”
Get full text

Potential Distribution Prediction of Terminalia chebula Retz. in China Under Current and Future Climate Scenarios by Zhang‐Hong Dong, Hua Jiang, Wei Zhang, Jianhua Wu, Yanping Yang, Taoming Yang, Jiangping Zhao, Cunzhen Luo, Xiaoxia Yang, Guilin Li

“…In this study, we utilized 73 occurrence records and incorporated eight environmental factors from WorldClim for the modeling process. The findings revealed that the evaluation of the model's performance was based on the area under the curve (AUC) of the receiver operating characteristic (ROC). …”
Get full text

Concentrating solar power (CSP) assisted FO hybrid systems for desalination of seawater: a preliminary study by Sultan Ahmed, Ahmed S. Alghamdi, Amr Mohamed Mahmoud, Hajer H. Albutuwaybh, Jenan A. Almadeh

“…Seawater serves as the Feed Solution (FS), while Dimethyl Ether (DME) is used as the Draw Solution (DS), recovered through a thermal separation process powered by CSP. Key performance metrics analysed include the Capacity Factor (CF), Levelized Cost of Thermal Energy (LCoT), and Levelized Cost of Water (LCoW). …”
Get full text

Optimizing Bioceramic Composites for Hip Joint Replacements using SPS Method: Investigating the Effects of Titanium Diboride (TiB2) on Tribological Properties by Pavankumar Ravikumar, Goud Mallesh, S. Suresh Kumar, H. S. Manjunatha

“…Utilizing the Spark Plasma Sintering (SPS) process, advanced ceramic composites were developed, comprising alumina (Al2O3), silicon carbide (SiC), magnesium oxide (MgO), and titanium diboride (TiB2) integrated with an Al6061 base. …”
Get full text