Effect of process parameters and optimization of photocatalytic removal of lead from wastewater over CuZn oxide nanocomposite using response surface methodology by Hiba Abduladheem Shakir, Alyaa K. Mageed, May Ali Alsaffar, Mohamed Abdel Rahman Abdel Ghany

“…The study underlines the requirement of enhancing process parameters to boost photocatalytic performance and shows the capacity of CuZn oxide nanocomposites in effectively eliminating Pb2+. …”
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The mediating role of coping in the relationship between perceived health and psychological wellbeing in recurrent urinary tract infection: the rUTI Illness Process Model by Abigail F. Newlands, Melissa L. Kramer, Kayleigh Maxwell, Jessica L. Price, Katherine A. Finlay

“…Given the unique challenges in diagnostics and management, healthcare disillusionment and stigmatisation which distinguish rUTI from other urological conditions, specific identification of the key illness processes experienced by this patient population is required. …”
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A two-stage model of the fuzzy analytic hierarchy process and the fuzzy synthetic evaluation technique to prioritize sustainable sanitation services under uncertainty by Shaher Zyoud, Siwar M. Omair, Susan A. Jarrad

“…Poor planning, funding obstacles, stakeholder priorities, climatic changes, growing populations, system constraints, and user engagement all complicate the entire process. Intelligent strategic decision-making is crucial, particularly for resource-constrained economies. …”
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Non-invasive detection of pesticide residues in freshly harvested olives using hyperspectral imaging technology by Diego Manuel Martínez Gila, David Bonillo Martínez, Silvia Satorres Martínez, Pablo Cano Marchal, Javier Gámez García

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An automated parallel genetic algorithm with parametric adaptation for distributed data analysis by Laila Al-Terkawi, Matteo Migliavacca

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A survey on the applications of transfer learning to enhance the performance of large language models in healthcare systems by Anmol Rahujo, Daniya Atif, Syed Azeem Inam, Abdullah Ayub Khan, Sajid Ullah

“…Abstract The healthcare field experiences significant developments through transfer learning and large language models that boost medical diagnosis accuracy while improving patient services and clinical process automation. …”
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A Dialogue Response Generation Model With Latent Variable Modeling and LWE Attention Based on the VW-BLEU Evaluation Metric by Jongwon Lee, Inwhee Joe

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Elucidation of soaking and steaming duration in parboiling: effects on the physical quality and appearance of local rice cultivars by Zubair Noori, Shingo Furuichi, Kifayatullah Kakar, Shafiqullah Aryan, Mohamed A. El-Sheikh, Hosam O. Elansary, Rashed Mozafari

“…Enhancing the quality of rice grains is essential to meet consumer demand and boost farmers’ income. Various factors, such as processing techniques and parboiling methods, play a crucial role in influencing the overall quality of rice grains. …”
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THE ROLE OF CHATBOTS IN BUSINESS COMMUNICATION. CUSTOMER INQUIRIES. CASE STUDY: H&M by Anamaria-Mirabela POP, Monica-Ariana SIM, Ioana Claudia HOREA

“…According to the findings, chatbots greatly simplify commercial correspondence, but their effectiveness hinges on ongoing developments in artificial intelligence, advances in natural language processing, and seamless integration with human customer service representatives. …”
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Microstructures and Mechanical Properties of Al Matrix Composites Reinforced with TiO₂ and Graphitic Carbon Nitride by Chen Wang, Xianyong Zhu, Ke Zhang, Jiaan Liu, Xiong Xiao, Cheng Jiang, Jinyuan Zhang, Changchun Lv, Zhaoxue Sun

“…Because the exfoliation of g-C₃N₄ under the effect of processing reduces the agglomeration of TiO₂, boosts the flattening of Al, and enhances interface integration with the base metal. …”
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An automated hybrid deep learning framework for paddy leaf disease identification and classification by Chatla Subbarayudu, Mohan Kubendiran

“…Consequently, there is a need to boost agricultural productivity by adopting new technologies. …”
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An AI-Driven Model to Enhance Sustainability for the Detection of Cyber Threats in IoT Environments by Majid H. Alsulami

“…Min-max normalization is employed to pre-process the obtained raw information. The proposed model AF-WAdaBoost dynamically adjusts classifiers, enhancing accuracy and resilience against evolving threats. …”
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An Enhanced Fractional Open Circuit Voltage MPPT Method for Rapid and Precise MPP Tracking in Standalone Photovoltaic Systems by Muhannad J. Alshareef

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Machine Learning-Based Recommender System for Pulsed Laser Ablation in Liquid: Recommendation of Optimal Processing Parameters for Targeted Nanoparticle Size and Concentration Usin... by Anesu Nyabadza, Dermot Brabazon

“…Multiple ML models were evaluated, including K-Nearest Neighbors (KNN), Extreme Gradient Boosting (XGBoost), Random Forest, and Decision trees. …”
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AI model for predicting asthma prognosis in children by Elham Sagheb, MS, Chung-Il Wi, MD, Katherine S. King, MS, Bhavani Singh Agnikula Kshatriya, MS, Euijung Ryu, PhD, Hongfang Liu, PhD, Miguel A. Park, MD, Hee Yun Seol, MD, Shauna M. Overgaard, PhD, Deepak K. Sharma, PhD, Young J. Juhn, MD, Sunghwan Sohn, PhD

“…We then leveraged a larger birth cohort (n = 29,594) labeled automatically (with weak labels) by a previously validated natural language processing algorithm for asthma prognosis. Different models (logistic regression, random forest, and XGBoost [eXtreme Gradient Boosting]) were tested with diverse clinical variables from structured and unstructured EHRs. …”
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TOOL WEAR STATE MONITORING BASED ON WAVELET PACKET BP＿ADABOOST ALGORITHM by ZHU Xiang, XIE Feng

“…Aiming at the problems of less tool wear state data,low diagnostic efficiency,high maintenance cost and lack of effective diagnostic methods during CNC machine tool processing,A method of extracting features by wavelet packet analysis and kernel principal component analysis,and using BPAda Boost algorithm to diagnose tool wear state is proposed.The tool vibration signal and the cutting force signal are collected by installing an acceleration sensor on the machined workpiece of the numerical control machine tool and a force gauge on the workbench; Then the wavelet packet decomposition is performed on the signal to pass the signal through the low-pass filter and the high-pass filter of different dimensions,so that the conditional selection can be performed to form the energy value corresponding to the different frequency bands. …”
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Optimizing Apache Spark MLlib: Predictive Performance of Large-Scale Models for Big Data Analytics by Leonidas Theodorakopoulos, Aristeidis Karras, George A. Krimpas

“…Specifically, the practical value of traditional models in optimizing Apache Spark MLlib workflows was shown, achieving up to 30% resource savings and a 25% reduction in processing time. These models enable system optimization, reduce the amount of computational overheads, and boost the overall performance of big data applications. …”
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AIoT-Driven Human Activity Recognition for Versatile Framework on Multipurpose Applications by Nanik Triwahyuni, Eni Wardihani, Aminuddin Rizal, Samuel Beta, Ricky Sambora, Rindang Oktaviani

“…The framework integrates sensor data from wearable IoT devices, which is then processed by AI algorithms to classify and predict human activities in real-time. …”
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Emotion recognition with multiple physiological parameters based on ensemble learning by Yilong Liao, Yuan Gao, Fang Wang, Li Zhang, Zhenrong Xu, Yifan Wu

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Influence of Traditional Vanilla Curing on Its Physicochemical Properties and Aromatic Profile by Isabel Janid Perez-Viveros, Sergio Erick García-Barrón, Blanca Elizabeth Hernández-Rodríguez, Ariadna Isabel Barrera-Rodríguez, Claudia Ariadna Acero-Ortega, Anastacio Espejel-García

“…In this sense, this work aimed to evaluate the influence of the curing process. Four different processes from four regions (SJA, SLP, CQ and EPM) were considered, taking into account two curing conditions. …”
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