Unraveling the Difference in the Composition/Content of the Aroma Compounds in Different Tobacco Leaves: For Better Use by Tiejun Yan, Ping Zhou, Fei Long, Jing Liu, Fengguang Wu, Maolin Zhang, Jialei Liu

“…This work demonstrated that the application of GC-IMS in analyzing the composition/content of aroma compounds in tobacco leaves is efficient. GC-IMS is a very powerful tool to give a direct and visual comparison of the composition/content of aroma compounds in tobacco leaves from different producing areas. …”
Get full text

Defect modeling in semiconductors: the role of first principles simulations and machine learning by Md Habibur Rahman, Arun Mannodi-Kanakkithodi

“…ML techniques, particularly neural networks, have emerged as powerful tools for enabling rapid prediction of defect properties at DFT-accuracy in order to overcome the expense of using large supercells and advanced functionals. …”
Get full text

Improvement of the knock-in effciency in the genome of human induced pluripotent stem cells using the CRISPR/Cas9 system by М. М. Gridina

“…Human induced pluripotent stem (hiPS) cells are a powerful tool for biomedical research. The ability to create patient-specifc pluripotent cells and their subsequent differentiation into any somatic cell type makes hiPS cells a valuable object for creating in vitro models of human diseases, screening drugs and a future source of cells for regenerative medicine. …”
Get full text

Saturated Transposon Analysis in Yeast as a one-step method to quantify the fitness effects of gene disruptions on a genome-wide scale. by Enzo Kingma, Floor Dolsma, Leila Iñigo de la Cruz, Liedewij Laan

“…Transposon insertion site sequencing (TIS) is a powerful tool that has significantly advanced our knowledge of functional genomics. …”
Get full text

A Novel Multi-Fidelity Support Vector Classification Method for Boundary Prediction in Engineering Applications by Jinliang Luo, Lingzhi Liu, Youwei He, Kuan Tan

“…The results demonstrate that our multi-fidelity support vector classification method not only effectively predicts boundaries in these practical scenarios but also outperforms alternative methods, showing its potential as a powerful tool for engineers.…”
Get full text

Intratumor heterogeneity: models of malignancy emergence and evolution by R. A. Ivanov, S. A. Lashin

“…Furthermore, single­cell sequencing methods have emerged as powerful tools for dissecting intratumoral heterogeneity and tracing clonal evolution. …”
Get full text

Hybrid subQUBO Annealing With a Correction Process for Multi-Day Intermodal Trip Planning by Tatsuya Noguchi, Keisuke Fukada, Siya Bao, Nozomu Togawa

“…Quantum annealers have recently been explored as a powerful tool for solving combinatorial optimization problems by converting the problems into Quadratic Unconstrained Binary Optimization (QUBO). …”
Get full text

Voice Assistant Utilization among the Disability Community for Independent Living: A Rapid Review of Recent Evidence by Paola Esquivel, Kayden Gill, Mary Goldberg, S. Andrea Sundaram, Lindsey Morris, Dan Ding

“…By addressing the identified barriers and tailoring voice assistance technology to cater to the specific needs of different disability types, this technology can become a powerful tool for enhancing the lives of individuals with disabilities and promoting greater independence and community participation.…”
Get full text

Semi-in-situ cutting force measurement of a jigsaw by Sándor Apáti, György Hegedűs, Sándor Hajdu

“…The method of measuring forces without disassembling the jigsaw power tools can be used for cutting wood, plastic, and metal, and it helps improve industrial cutting tools. …”
Get full text

Machine learning for predicting Chagas disease infection in rural areas of Brazil. by Fabio De Rose Ghilardi, Gabriel Silva, Thallyta Maria Vieira, Ariela Mota, Ana Luiza Bierrenbach, Renata Fiuza Damasceno, Lea Campos de Oliveira, Alexandre Dias Porto Chiavegatto Filho, Ester Sabino

“…In recent years, machine learning algorithms have emerged as powerful tools for disease prediction and diagnosis.<h4>Methods</h4>In this study, we developed machine learning algorithms to predict the risk of Chagas disease based on five general factors: age, gender, history of living in a mud or wooden house, history of being bitten by a triatomine bug, and family history of Chagas disease. …”
Get full text

Assessing spatiotemporal trends of riverbank erosion using a GIS-DSAS-based integrated approach by Jahid Hasan, Md. Alif Uz Zaman, Mst Ilme Faridatul

“…We used the Modified Normalized Difference Water Index (MNDWI) to find riverbanks and the Digital Shoreline Analysis System (DSAS) to look at changes in banklines. DSAS is a powerful tool for analyzing and understanding spatiotemporal trends in shoreline and riverbank changes, making it indispensable for geospatial studies in dynamic environments. …”
Get full text

Novel thermodynamic model for simulation of hydrogen/diesel fueled PCCI engine by Ghasem Jalivar, Elaheh Neshat

“…The validation and verification results demonstrate the model's high accuracy and reliability, making it suitable for control applications of hydrogen/diesel dual-fuel PCCI combustion and a powerful tool for researching and developing hybrid systems, including PCCI engines, as environmentally friendly systems.…”
Get full text

Integrating Model‐Informed Drug Development With AI: A Synergistic Approach to Accelerating Pharmaceutical Innovation by Karthik Raman, Rukmini Kumar, Cynthia J. Musante, Subha Madhavan

“…Artificial intelligence (AI), encompassing techniques such as machine learning, deep learning, and Generative AI, offers powerful tools and algorithms to efficiently identify meaningful patterns, correlations, and drug–target interactions from big data, enabling more accurate predictions and novel hypothesis generation. …”
Get full text

The Effect of Delay Techniques on a Lassa Fever Epidemic Model by Ali Raza, Eugenio Rocha, Emad Fadhal, Rashid I. H. Ibrahim, Eman Afkar, Muhammad Bilal

“…Delayed modelling of real-world problems is a powerful tool and nonpharmaceutical technique for understanding the dynamics of disease in a population. …”
Get full text

The crane radar: Development and deployment of an operational eco-digital twin by K. De Koning

“…By running continuous predictions, digital twins evolve synchronous with the real world and related data, making digital twins a particularly powerful tool to study systems that are changing beyond their historic realm. …”
Get full text

A method to evaluate the performance of institutions based on data envelopment analysis method with qualitative data and emphasis on OCB by mohammad javad hossainzadeh saljughi

“…In this article, we measure the effect of the OCB quality index on the efficiency of institutions using the envelopment analysis method of ordinal data without compensatory properties.Methodology: Data coverage analysis is a powerful tool for assessing the performance of decision-making institutions based on a large number of input and output indicators, which can be quantitative or qualitative. …”
Get full text

Quantitative Modeling of High-Energy Electron Scattering in Thick Samples Using Monte Carlo Techniques by Bradyn Quintard, Xi Yang, Liguo Wang

“…Cryo-electron microscopy (cryo-EM) is a powerful tool for imaging biological samples but is typically limited by sample thickness, which is restricted to a few hundred nanometers depending on the electron energy. …”
Get full text

The temporal structure of multiple visuomotor processes in baseball batting: insights from a virtual reality system by Naoki Saijo, Takehiro Fukuda, Makio Kashino

“…Furthermore, the results highlight the potential of VR training systems as powerful tools for elucidating the intricate mechanisms underlying athletic skills.…”
Get full text

Film Industry at the Service of EU Identity Politics by E. V. Khakhalkina, A. V. Vyachistaya

“…Mass cinema can act as a powerful tool for influencing public opinion by appealing to shared values and collective historical memory, while simultaneously constructing and guiding these elements in alignment with policy objectives. …”
Get full text

ChatGPT as a data analyst: an exploratory study on AI-supported quantitative data analysis in empirical research by Dimitri Prandner, Daniela Wetzelhütter, Sönke Hese

“…Thus, we concluded that there are severe limitations in the AI’s ability to provide accurate and comprehensive solutions for complex tasks and emphasize the need for caution and verification when using AI powered tools for complex research procedures.…”
Get full text