Multiple PM Low-Cost Sensors, Multiple Seasons’ Data, and Multiple Calibration Models by S Srishti, Pratyush Agrawal, Padmavati Kulkarni, Hrishikesh Chandra Gautam, Meenakshi Kushwaha, V. Sreekanth

“…A hold-out validation was performed to assess the model performance. …”
Get full text

The small modular molten salt reactor potential and opportunity in Saudi Arabia by Dana Hejazi, Anas M. Alwafi, Salman M. Alzahrani, Meshari M. Alqahtani, Salman M. Alshehri

“…Molten Salt Reactors (MSRs) represent a promising, safe, advanced nuclear technology that aligns with Saudi Arabia’s Vision 2030 objectives for energy diversification, sustainability, and economic development. …”
Get full text

Multi-objective optimization of SUS430C steel turning process using hybrid machine learning and evolutionary algorithm approach by Nguyen Van-Canh, Nguyen Anh-Thang, Pham Ngoc-Linh, Nguyen Thuy-Duong

“…A hybrid approach combining Extreme Gradient Boosting (XGBoost) and Non-dominated Sorting Genetic Algorithm-II (NSGA-II) was employed to optimize three critical machining objectives: surface roughness (Ra), material removal rate (MRR), and tool wear (Vb). …”
Get full text

Brain Tumor Detection and Classification Using IFF-FLICM Segmentation and Optimized ELM Model by Suvashisa Dash, Mohammed Siddique, Satyasis Mishra, Demissie J. Gelmecha, Sunita Satapathy, Davinder Singh Rathee, Ram Sewak Singh

“…The detection and classification of brain tumors play a crucial role in early diagnosis and treatment planning. …”
Get full text

Analysis of Sunshine Temperature Field of Steel Box Girder Based on Monitoring Data by Hailin Lu, Jing Hao, Jiwei Zhong, Yafei Wang, Hongyin Yang

“…In this study, based on the recorded meteorological data of the bridge site, a spatial-temporal temperature model of a 3-span steel box girder is developed through applying the thermal analysis software TAITHERM. …”
Get full text

Advances in functional MRI research in bipolar disorder: from the perspective of mood states by Yun-Ai Su, Tianmei Si, Yankun Wu, Linlin Zhu, Jitao Li

“…However, the pathophysiology underlying mood instability, mood switching and the development of extreme mood states is less well understood. This review presents a comprehensive overview of current evidence from functional MRI studies from the perspective of mood states. …”
Get full text

Simulations of pH and thermal effects on SARS-CoV-2 spike glycoprotein by Ziyuan Niu, Georgios Kementzidis, Miriam Rafailovich, Marcia Simon, Evangelos Papadopoulos, Bertal H. Aktas, Yuefan Deng

“…We performed triplicate and long-time all-atom molecular dynamics simulations to investigate the structures and dynamics of the SARS-CoV-2 spike glycoprotein (S-protein) for a broad range of pH = 1 through 11 and temperatures of 3°C through 75°C. …”
Get full text

Projecting Surface Water Area Under Different Climate and Development Scenarios by Mollie D. Gaines, Mirela G. Tulbure, Vinicius Perin, Rebecca Composto, Varun Tiwari

“…We assessed the change in SWA for each scenario, and we compared the surface water projections from our data‐driven model and a process‐based model. We found that the scenario with the largest forest‐dominated land cover loss and most extreme climate change had watersheds with the greatest projected increases (in the South Atlantic Gulf) and decreases (in the Lower Mississippi) in SWA. …”
Get full text

Effect of Board Accountability on Financial Performance of Selected SACCOs in Kiruhura District, Uganda. by Kyabarongo, Benon, Agaba, Moses, Byamukama, Eliab Mpora, Sunday, Arthur, Sekiwu, Denis

“…A total population of 342 people was used at a confidence level of 95% or an error of 0.05 and the sample size was 184 respondents who involved the staff and members taken from the six SACCOs registered in Kiruhura district, Uganda as of January 2023. …”
Get full text

Effect of Board Accountability on Financial Performance of Selected SACCOs in Kiruhura District, Uganda. by Kyabarongo, Benon, Agaba, Moses, Byamukama, Eliab Mpora, Sunday, Arthur, Sekiwu, Denis

“…A total population of 342 people was used at a confidence level of 95% or an error of 0.05 and the sample size was 184 respondents who involved the staff and members taken from the six SACCOs registered in Kiruhura district, Uganda as of January 2023. …”
Get full text

Comparative analysis of seasonal wind power using Weibull, Rayleigh and Champernowne distributions by Bienvenu Sumaili Ndeba, Omaima El Alani, Abdellatif Ghennioui, Mostafa Benzaazoua

“…The Champernowne distribution’s robustness makes it a valuable tool for wind energy assessments, especially in regions with intermittent wind patterns, providing a foundation for more accurate modeling and energy planning.…”
Get full text

Comparative Performance of Sentinel-2 and Landsat-9 Data for Raw Materials’ Exploration Onshore and in Coastal Areas by Morgana Carvalho, Joana Cardoso-Fernandes, Francisco Javier González, Ana Claudia Teodoro

Get full text

Study on Electroosmosis Consolidation of Punctiform Electrode Unit by Xiaoyu Yang, Yongbin Xie, Jianhua Dong, Guosheng Liu, Yalin Zheng

“…The reduction of spacing of the same nature electrode in the symmetrical unit can make the potential distribution close to a uniform electric field. The asymmetry prevents the electric potential field distribution from being reduced to a one-dimensional model. (2) The number of anodes will affect the electroosmosis effect of the soil. …”
Get full text

Ensemble modeling of the climate-energy nexus for renewable energy generation across multiple US states by Joy Adul, Rohini Kumar, Renee Obringer

“…The effects of climate change on renewable energy generation are of growing concern, as shifts in weather patterns and extreme events can significantly impact energy production. …”
Get full text

Forecasting mental states in schizophrenia using digital phenotyping data. by Thierry Jean, Rose Guay Hottin, Pierre Orban

“…Besides it remains unclear which machine learning algorithm is best suited for forecast tasks, the eXtreme Gradient Boosting (XGBoost) and long short-term memory (LSTM) algorithms being 2  popular choices in digital phenotyping studies. …”
Get full text

Scientific provision of an effective development of soybean breeding and seed production in the Russian Far East by V. T. Sinegovskaya

“…In the Russian Far East, a highly profitable crop is soybean, which predominates in all farms’ crop rotation in the region. …”
Get full text

Temperature and Temperature Stress Analysis in Mass Concrete under Cold Environments of Strong Wind and Large Diurnal Temperature Range by Guoqing Wang, Meng He, Canjun Zhou, Wen Xie, Xinglin Liu, Jin Chen, Hua Liu, Bingbing Lei, Mingli Zhang

“…In this study, the temperature at four measured points along the vertical profile of a mass concrete was measured over 14 days. Then, a thermal-mechanical model with the optimized initial condition, thermal parameters, boundary conditions, and the effects of rebar on temperature stress of concrete was built. …”
Get full text

Fine-Grained Building Classification in Rural Areas Based on GF-7 Data by Mingbo Liu, Ping Wang, Peng Han, Longfei Liu, Baotian Li

“…In the supervised classification stage, we compared different classification models, including Extreme Gradient Boosting (XGBoost) and Random Forest classifiers. …”
Get full text

Predicting Compressive Strength of Concrete Containing Industrial Waste Materials: Novel and Hybrid Machine Learning Model by Mohammed Majeed Hameed, Mustafa Abbas Abed, Nadhir Al-Ansari, Mohamed Khalid Alomar

“…The improved PSO and GA are given essential roles in tuning the hyperparameters of the SVR model, which have a significant influence on model accuracy. The suggested models are evaluated against extreme learning machine (ELM) via quantitative and visual evaluations. …”
Get full text

Prediction Model of the Coring Asphalt Pavement Performance through Response Surface Methodology by Ekarizan Shaffie, Ramadhansyah Putra Jaya, Juraidah Ahmad, Ahmad Kamil Arshad, Mohd Afiq Zihan, Fiona Shiong

“…Every day, the impact of axle loads caused by vehicles has a negative impact on flexible pavement, resulting in road deterioration due to extreme distress. …”
Get full text