Changes in the Antioxidant Properties of Quince Fruit (Cydonia oblonga Miller) during Jam Production at Industrial Scale by María V. Baroni, Joaquín Gastaminza, Natalia S. Podio, Mariana S. Lingua, Daniel A. Wunderlin, Jose L. Rovasio, Roberto Dotti, Juan Carlos Rosso, Silvina Ghione, Pablo D. Ribotta

“…The content of phenolic compounds and their relationship with the antioxidant capacity of quince fruit were evaluated before and after jam processing at industrial scale. Waste samples from industrial processing were also analyzed. …”
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Applying Machine Learning on Big Data With Apache Spark by Elias Dritsas, Maria Trigka

“…Our findings indicate that Apache Spark’s in-memory processing and distributed computing capabilities provide effective scalability, allowing these models to handle large-scale data with linear increases in processing time. …”
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Coupled Embedding Networks for 7-dB Gain-per-Stage at 130–140 GHz in a 20-dBm Gallium Nitride Power Amplifier by Everett O'Malley, James F. Buckwalter

“…We demonstrate the design process and implementation using a 40-nm Gallium Nitride (GaN) process technology through simulated and measured performance of the PA with and without the embedding network. …”
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Future of knowledge management in investment banking: Role of personal intelligent assistants by Vedapradha Radhakrishna, Hariharan Ravi, Sudha Elango, Venkoba Divyashree, Ashok Jaganathan, Muralidharan Ponnusamy

“…It also emphasizes that they have a weak Knowledge retrieval process and minimal efforts taken to create knowledge within these banks. …”
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Machine Learning Applications in Gray, Blue, and Green Hydrogen Production: A Comprehensive Review by Xuejia Du, Shihui Gao, Gang Yang

“…ML algorithms such as artificial neural networks (ANNs), random forest (RF), and gradient boosting regression (GBR) have been widely applied to predict hydrogen yield, optimize operational conditions, reduce emissions, and improve process efficiency. …”
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Early Prediction of Battery Lifetime Using Centered Isotonic Regression with Quantile-Transformed Features by Muhammad Arslan Khan, Yixing Wang, Benben Jiang

“…To validate our proposed method, we have done a comprehensive comparison among several different benchmarks, including elastic net, gradient boosting regression tree, decision tree, support vector machine, random forest, and Gaussian process regression. …”
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A novel MPPT Algorithm Based on MRAC-FUZZY Controller for Solar Photovoltaic Systems by Mahbouba Brahmi, Afef Marai, Hichem Hamdi, Chiheb Ben Regaya, Abderrahmen Zaafouri

“…The paper proposes a simplified fuzzy MRAC process and describes the adaptation gains adjustment using a Fuzzy Logic (FL) subsystem. …”
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Harnessing AI to revolutionize photocatalytic degradation of Tetracycline via optimized UV/ZrO2/NaOCl reaction pathways by Amir Sheikhmohammadi, Saeed Hosseinpour, Zahra Jalilzadeh, Hossein Azarpira, Mahmood Yousefi

“…Abstract This paper assesses the presentation of Gradient Boosting Regression (GBR), Ridge Regression (RR), and Particle Swarm Optimization (PSO) models in improving the photocatalytic destruction of antibiotic utilizing a UV/ZrO₂/NaOCl system. …”
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The role of NAD+ metabolism and its modulation of mitochondria in aging and disease by Khalishah Yusri, Sandra Jose, Karen S. Vermeulen, Trina Chia Min Tan, Vincenzo Sorrentino

“…Due to its critical role in these cellular processes, declining levels of NAD+ are associated with general aging and chronic disorders, including cognitive decline, sarcopenia, and metabolic diseases. …”
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Low-income households' willingness to pay for flood risk insurance in South Africa by David Lefutso, Abiodun A. Ogundeji, Gideon Danso-Abbeam, Yong S. Nyam

“…Taken together, the findings in this research highlight the value of trust, transparency, and the cost effectiveness of policy design in boosting both consumption of flood insurance and community resilience to floods among vulnerable populations.…”
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A comprehensive review on grapes (Vitis spp.) cultivation and its crop management by Abhijit Khadatkar, Chetankumar Prakash Sawant, Deepak Thorat, Ajita Gupta, Swapnaja Jadhav, Dhananjay Gawande, Ajit Prahlad Magar

“…Despite the relevance of grape production in the international market and the potential for boosting rural economy, the automation in grape production is very low. …”
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TEACHING BUSINESS ENGLISH COMMUNICATION IN THE ERA OF ARTIFICIAL INTELLIGENCE by Cristina-Laura Abrudan

“…The present paper approaches new ideas, new methods that can be put into practice in the process of teaching Business English. The topics of the Business English include business phrases, terms of sale, advertising, marketing, tourism, management – all these requiring the teacher’s ability to select, develop, combine the material in order to boost the results of the students involved in the process of learning.…”
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HyperspectralViTs: General Hyperspectral Models for On-Board Remote Sensing by Vit Ruzicka, Andrew Markham

“…We evaluate our models on two tasks related to hyperspectral data processing—methane detection and mineral identification. …”
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Optimizing the Mechanical and Microstructure Characteristics of Stir Casting and Hot-Pressed AA 7075/ZnO/ZrO2 Composites by P. Satishkumar, C. Saravana Murthi, Rohinikumar Chebolu, Yenda Srinivasa Rao, Rey Y. Capangpangan, Arnold C. Alguno, Vishnu Prasad Yadav, M. Chitra, Mahesh Gopal

“…To get insight into the process and the qualities of the composite, the hot-pressing parameters were studied. …”
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A Comparative Study of Machine Learning Techniques for Cell Annotation of scRNA-Seq Data by Shahid Ahmad Wani, SMK Quadri, Mohammad Shuaib Mir, Yonis Gulzar

“…Accurate cell type annotation is a critical step in single-cell RNA sequencing (scRNA-seq) analysis, enabling deeper insights into cellular heterogeneity and biological processes. In this study, we conducted a comprehensive comparative evaluation of various machine learning techniques, including support vector machine (SVM), decision tree, random forest, logistic regression, gradient boosting, k-nearest neighbour, transformer, and naive Bayes, to determine their effectiveness for single-cell annotation. …”
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User-Friendly Tool for Expedited Ground Vibration Assessment Induced by Impact Pile Driving by Ahmed M. Abouelmaty, Aires Colaço, Pedro Alves Costa

“…However, hammer impacts during the driving process can generate excessive levels of ground vibration, which, in extreme cases, can affect nearby structures and people. …”
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A hybrid phase-shifted PWM technique for a 13-level inverter with low switch count and suppressed charging spike by Hossein Mansourizadeh, Majid Hosseinpour, Ali Seifi, Mahdi Shahparasti

“…Additionally, it requires only five separate control signals, simplifying the control process. In addition to the advantage of six times voltage boosting and a low switch count, the capacitors’ automatic voltage balancing is considered a significant benefit for the proposed inverter. …”
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PENGGUNAAN OBAT TRADISIONAL DAN PEMBUATAN SEDIAAN CELUP DAUN KELOR BAGI MASYARAKAT DI SAKO KECAMATAN LUBUK KILANGAN KOTA PADANG by Yufri Aldi, Salman Umar, Wanda Sabila Azukhruf, Aditya Alqamal Alianta

“…Numerous studies have demonstrated its efficacy in boosting the immune system. In light of this, enhancing community awareness regarding the health benefits of Moringa leaves is essential. …”
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SOC Estimation of Lithium-Ion Batteries Utilizing EIS Technology with SHAP–ASO–LightGBM by Panpan Hu, Chun Yin Li, Chi Chung Lee

“…EIS data collected at various SOC levels and temperatures were processed using SHAP for feature extraction (FE), and the ASO–LightGBM model was employed for SOC prediction. …”
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Numerical Investigation of MHD Carreau Nanofluid Flow with Nonlinear Thermal Radiation and Joule Heating by Employing Darcy–Forchheimer Effect over a Stretching Porous Medium by Endale Ersino Bafe, Mitiku Daba Firdi, Lemi Guta Enyadene

“…It will be worth mentioning that these fluid flow models will be applicable in various fields, such as engineering, petroleum, nuclear safety processes, and medical science.…”
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