Visualizing the Future of Knowledge Sharing in SMEs in the Construction Industry: A VOSviewer Analysis of Emerging Trends and Best Practices by Salvador López, Víctor Yepes

“…This review paper systematically synthesizes existing literature on knowledge sharing (KS) and knowledge transfer (KT) in the context of small and medium-sized enterprises (SMEs) in the construction industry, updating previous research and making predictions about emerging issues. The comprehensive literature review employs three different bibliometric techniques: (1) textual analysis of keywords and abstracts to identify relevant research areas, (2) cocitation analysis of references to analyze the evolution of KS and KT in SMEs, and (3) bibliographic linkage analysis of documents to summarize the background and results. …”
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The Effects of Fetal Gender on Serum Human Chorionic Gonadotropin and Testosterone in Normotensive and Preeclamptic Pregnancies by Nahid Lorzadeh, Sirous Kazemirad

“…High maternal serum concentrations of these markers can predict preeclampsia.…”
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A numerical framework for simulating fluid-structure interaction phenomena by A. De Rosis, S. de Miranda, C. Burrafato, F. Ubertini

“…The lattice Boltzmann method is used to compute fluid dynamics, while the corotational finite element formulation together with the Time Discontinuous Galerkin method are adopted to predict structure dynamics. The Immersed Boundary method is used to account for the presence of an immersed solid in the lattice fluid background and to handle fluid-structure interface conditions, while a Volume-of-Fluid-based method is adopted to take trace of the evolution of the free surface. …”
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Relationship between influenza-related experience and current vaccination outcome by Yunwei Gai

“…Linear and logistic probability models were estimated to predict influenza vaccination using a person’s vaccination status in the previous year and history of influenza infection, adjusting for demographics, socioeconomic variables, general health status, and healthcare access. …”
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Troop Takeover and Reproductive Success of Wild Male Japanese Macaques on Yakushima Island (Macaca fuscata yakui) by Sachiko Hayakawa, Joseph Soltis

“…Logistic regression analysis showed that the number of NTMs associating with a troop predicted the occurrence of troop takeover. Paternity discrimination revealed that 33.3% (3/9) of takeover males succeeded in siring offspring. …”
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Mathematical probit and logistic mortality models of the Khapra beetle fumigated with plant essential oils by Alhadi E. Alamir, Gomah E. Nenaah, Mohamed A. Hafiz

“…Estimated data using the probit model were more accurate in terms of $L_2$ errors, than the logistic one. Results of the predicted mortality revealed also that extending the fumigation period could be an effective control strategy, even, at lower concentrations. …”
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Repeatability for weight at birth in Murrah buffaloes in the Zulia state of Venezuela by José Raúl Pérez-González, Néstor Simón Montiel-Urdaneta

“…In this population, several records of a buffalo’s calves would be needed to correctly predict the BW of a future calf because R is low. …”
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Data augmentation with occluded facial features for age and gender estimation by Lu En Lin, Chang Hong Lin

“…A modified cross‐entropy loss that gives less penalty to the age predictions that land on the adjacent classes of the ground truth class is also proposed. …”
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Exploring effector protein dynamics and natural fungicidal potential in rice blast pathogen Magnaporthe oryzae. by Jannatul Ferdousy, Tanjin Barketullah Robin, Mst Sanjida Nasrin, Istiak Ahmed, Tawsif Hossain, Md Mehedi Hasan, Mehrab Hassan Soaeb, Md Ahsanul Tamim, Nusrat Jahan Yeasmin, Ummay Habiba, Nadim Ahmed, Nurul Amin Rani, Md Shishir Bhuyian, Suvarna N Vakare, Abu Tayab Moin, Rajesh B Patil, Mohammad Shahadat Hossain

“…Additionally, the compounds were evaluated based on Lipinski's rule of five and toxicity predictions, indicating their suitability for agricultural use. …”
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Influence of Tunneling in Cohesionless Soil for Different Tunnel Geometry and Volume Loss under Greenfield Condition by Raja Kanagaraju, Premalatha Krishnamurthy

“…The obtained results using a finite element program (FEM) PLAXIS 3D are compared with measured and predicted surface settlement using field measuring instruments, and analytical and empirical solution show a reasonable agreement and are found to be conservative. …”
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Fluid Vibration Analysis of Large-Span Skeletal Membrane Structures under Pulsating Winds by Wei Fu, Haixu Yang, Jie Jia

“…To identify the location of the strongest vibration of skeletal membrane structures under pulsating wind and predict the response and damage of the structures. …”
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Convolutional Neural Networks for Software Defect Categorization: An Empirical Validation by Ruchika Malhotra, Madhukar Cherukuri

“…The results underscore the predictive potential of our CNN-based defect categorization model. …”
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Thin-Layer Drying Model, Drying Rate, and Effective Water Diffusion Coefficient of Pelleted Feed by Wei Wang, Jiyuan Chen, Nan Jin, Hongying Wang, Liangju Wang, Junhua Wu

“…The activation energy (Ea) for moisture diffusion in both types of feed is 26.42 kJ/mol and 25.86 kJ/mol, respectively. By establishing predictive models for model parameters based on air temperature and air velocity variables, the new model demonstrates extrapolation capability, wide applicability, and practical value. …”
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AXIAL CRUSHING ENERGY ABSORPTION CAPACITY OF ALUMINUM ALLOY THIN-WALLED MULTI-CORNER TUBES by SUN HongTu, WANG Jian, SHEN GuoZhe, HU Ping

“…The improved method of folding element was applied to predict the crushing forces of thin-walled tubes under axial impact. …”
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Interpolation-Based Modeling Methodology for Efficient Aeroelastic Control of a Folding Wing by Chengyu Yue, Yonghui Zhao

“…This model is capable of predicting the aeroelastic responses during the slow morphing process and is suitable for subsequent control synthesis. …”
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Effect of Hubbard U-corrections on the electronic and magnetic properties of 2D materials: a high-throughput study by Sahar Pakdel, Thomas Olsen, Kristian S. Thygesen

“…On this basis we conclude that the Hubbard U correction will lead to lower predicted Curie temperatures in 2D materials. All the calculated properties are available in the Computational 2D Materials Database (C2DB).…”
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The relationship between the Ottawa Valve Collapse Scale (OVCS) and clinical outcomes in septoplasty patients by Phillip Staibano, James P. Bonaparte

“…Though the OVCS was designed to categorize the severity of NVC preoperatively, there is no evidence that it is helpful in predicting which patients will demonstrate poor results following septoplasty. …”
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A machine learning interpretation of the correlation between poverty and air pollution in the contiguous United States by Sajeev Magesh, Kevin Geng

“…While the variables were able to predict county-wide poverty rates to reasonably low RMSE and MAE values, our results indicate no significant correlation between poverty levels alone with air pollution indices. …”
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Revolutionizing urban solid waste management with AI and IoT: A review of smart solutions for waste collection, sorting, and recycling by Abderrahim Lakhouit

“…The integration of IoT-based smart waste management enables municipalities to utilize real-time data to analyze waste flow, predict generation trends, and improve operational efficiency. …”
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Optimal Location of Multiple Tuned Mass Dampers in Regular and Irregular Tall Steel Buildings Plan by Mohsen Khazaei, Reza Vahdani, Ali Kheyroddin

“…It is also more important to predict the elements that will meet the required mass. …”
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