Process and mechanism modeling of cefotaxime removal from hospital wastewater using pistachio shells based magnetic activated carbon nanoparticles by Atefeh Rahmani, Haripriya Naidu, Tomasz Świergosz, Hamid Reza Rahimi, Zahra Mousavi, Maryam Dolatabadi, Saeid Ahmadzadeh

“…According to the results, the non-linear Langmuir isotherm model (R2 = 0.9931) and non-linear second order kinetic model (R2 = 0.9934) are suitably described the monolayer and chemisorption of CTX adsorption. …”
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Assessing sport commitment: the development and preliminary validation of recreational sport commitment questionnaire by Arthur Ling, Eng Wah Teo, Ngien Siong Chin

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Machine Learning for 1-Year Mortality Prediction in Lung Transplant Recipients: ISHLT Registry by Hye Ju Yeo, Hye Ju Yeo, Dasom Noh, Eunjeong Son, Eunjeong Son, Sunyoung Kwon, Sunyoung Kwon, Sunyoung Kwon, Woo Hyun Cho, Woo Hyun Cho

“…Optimizing lung transplant candidate selection is crucial for maximizing resource efficiency and improving patient outcomes. …”
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Effect of BFRP textile geometric characteristics on the flexural performance of textile reinforced concrete thin plate: An experimental and theoretical study by Xiaofei Zhang, Xin Wang, Lining Ding, Yongwang Zhang, Xunmei Liang, Zhishen Wu

“…Furthermore, a flexural capacity prediction model was developed based on classical theory, incorporating transverse yarn spacing, and ultimate deflections were estimated using a stiffness-based model excluding concrete tensile contribution. …”
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Impact of differentiated service delivery models on quality of life among people living with HIV in Uganda– a quasi-experimental study by Benson Nasasira, Grace Banturaki, Nelson Kalema, Joseph Musaazi, Aidah Nanvuma, Stephen Okoboi, Nancy Gathoni Kiarie, Joash Ntenga Moitui, Damazo Kadengye, Jonathan Izudi, Barbara Castelnuovo

“…Abstract Background Differentiated service delivery (DSD) models in resource-limited settings reduce strain on health services and improve clinical outcomes such as retention and viral suppression, but little is known about the impact of HIV DSD models on quality of life (QoL), which is essential for optimizing person-centered care. …”
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Design, development, and preclinical evaluation of pirfenidone-loaded nanostructured lipid carriers for pulmonary delivery by Ananda Kumar Chettupalli, Anitha Kakkerla, Rajendra Kumar Jadi, Pavani Uppu, Mohammed Ghazwani, Umme Hani, Padmanabha Rao Amarachinta, Peri Sarvani, M. Akiful Haque

“…Efforts have been made to create nanostructured lipid carriers (NLCs) using solid lipids, liquid lipids, and surfactants through an emulsification process followed by ultrasonication to achieve sustained drug release. A central composite design (CCD) utilizing response surface methods (RSMs) was employed to develop and optimize the formulation. …”
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Macronutrient-Based Predictive Modelling of Bioconversion Efficiency in Black Soldier Fly Larvae (<i>Hermetia illucens</i>) Through Artificial Substrates by Laurens Broeckx, Lotte Frooninckx, Siebe Berrens, Sarah Goossens, Carmen ter Heide, Ann Wuyts, Mariève Dallaire-Lamontagne, Sabine Van Miert

“…This research underscores the importance of optimal hydration and macronutrient composition in enhancing BSFL growth and bioconversion efficiency.…”
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Calibration of Parameters for Leaf-Stem-Cutting Model of Tuber Mustard (<i>Brassica juncea</i> L.) Based on Discrete Element Method by Man Gu, Haiyang Shen, Weiwen Luo, Jie Ling, Bokai Wang, Fengwei Gu, Shumin Song, Liang Pan, Zhichao Hu

“…Based on the Hertz–Mindlin with bonding model, the primary bonding parameters were calculated, and a BBD (Box–Behnken design) test was applied for optimization. …”
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Soil Organic Matter (SOM) Mapping in Subtropical Coastal Mountainous Areas Using Multi-Temporal Remote Sensing and the FOI-XGB Model by Hao Zhang, Xiaomei Li, Jinming Sha, Jiangning Ouyang, Zhipeng Fan

“…These features, along with topographic covariates, were processed using an improved Feature-Optimized and Interpretable XGBoost (FOI-XGB) model for key variable selection and spatial mapping. …”
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Transdermal drug delivery system: A comprehensive review of innovative strategies, applications, and regulatory perspectives by Andrea Crasta, Tanvi Painginkar, Amatha Sreedevi, Sachin Dattram Pawar, Muddukrishna Badamane Sathyanarayana, S.G. Vasantharaju, Riyaz Ali M. Osmani, Gundawar Ravi

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Sustainable strengthening of concrete deep beams with openings using ECC and Bamboo: An equation and data-driven approach through abaqus modeling and GEP by Fayiz Amin, Ijaz Ali, Ali Husnain, Muhammad Faisal Javed, Hisham Alabduljabbar, Asher Junaid

“…Gene expression programming (GEP) was used to develop predictive models for shear capacity, providing an interpretable framework for optimizing beam design. …”
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SYSTEM ANALYSIS OF SCIENTIFIC-AND-TECHNICAL INFORMATION IN AUTOMATIC CONTROL SYSTEM OF POWER UNITS WATTAGE by G. T. Kulakov, K. I. Artsiomenka

“…The analysis of known SACPU have demonstrated that they are unable to fully provide the requirements of the modern standards for quality control of frequency and power, i.e. the SACPU models are still in need of structural and parametric optimization on the basis of the proximate methods developed at the Belarusian National Technical University.…”
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Recent advances in Polygonatum sibiricum polysaccharides: structural insights, bioactivities in Vitro and in Vivo, and therapeutic potential in human and animal models – A review by Mohamed E. Abd El-Hack, Hassan A. Rudayni, Ahmed K Aldhalmi, Abdullah S. Alawam, Ahmed A. Allam, Mohammad M.H. Khan, Asmaa F. Khafaga

“…Quantitative data from optimized conditions show PSP yields ranging from 4.4 % (hot water) to 29.7 % (NADES-based extraction). …”
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Unlocking Nature’s Potential: Modelling <i>Acacia melanoxylon</i> as a Renewable Resource for Bio-Oil Production through Thermochemical Liquefaction by Sila Ozkan, Henrique Sousa, Diogo Gonçalves, Jaime Puna, Ana Carvalho, João Bordado, Rui Galhano dos Santos, João Gomes

“…A central composite face-centred (CCF) design was applied to the liquefaction reaction optimization. …”
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A hybrid fuzzy logic–Random Forest model to predict psychiatric treatment order outcomes: an interpretable tool for legal decision support by Alexandre Hudon, Alexandre Hudon, Alexandre Hudon, Alexandre Hudon

“…Future work should aim to validate the model across other jurisdictions, incorporate more advanced natural language processing for semantic feature extraction, and explore dynamic rule optimization techniques. …”
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Antioxidant System Activity in Roots and Shoots of Bean Cultivars in Response to Seed Treatment with Auxin as a Potential Model of Interaction with Endophytic Bacteria by Svetlana Garipova, Viktoriia Matyunina, Aelita Chistoedova, Oksana Markova, Alsu Lubyanova, Oksana Lastochkina, Ekaterina Pedash, Azamat Avalbaev, Lyudmila Pusenkova

“…Precise bacterial strain selection is essential to ensure consistent and effective plant growth and resilience. Creating a model for the optimal dose-dependent interactions between PGPEB and hosts is necessary for understanding the mechanisms of high-precision selection of the inoculant composition to enhance bacterial preparations’ efficacy. …”
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Development and Validation of a Machine Learning Prediction Model for Textbook Outcome in Liver Surgery: Results From a Multicenter, International Cohort by Jane Wang, MD, Amir Ashraf Ganjouei, MD, MPH, Taizo Hibi, MD, PhD, Nuria Lluis, MD, PhD, Camilla Gomes, MD, Fernanda Romero-Hernandez, MD, Han Yin, BA, Lucia Calthorpe, MD, Yukiyasu Okamura, MD, PhD, Yuta Abe, MD, PhD, Shogo Tanaka, MD, PhD, Minoru Tanabe, MD, PhD, Zeniche Morise, MD, PhD, Horacio Asbun, MD, PhD, David Geller, MD, Mohammed Abu Hilal, MD, PhD, Mohamed Adam, MD, Adnan Alseidi, MD, EdM, International Hepatectomy Study Group, Alison Baskin, Annie Wong-On-Wing, Annie Yang, Devesh Sharma, Taisuke Imamura, Masanori Nakamura, Yuya Miura, Koki Hayashi, Masatsugu Ishii, Keita Shimata, Kazuya Hirukawa, Hiroki Ueda, June S. Peng, Lucas Thornblade, Kenzo Hirose, Kimberly Kirkwood, Eric Nakakura, Carlos Corvera, Ajay Maker

“…Following model optimization, the performance of the models was evaluated using receiver operating characteristic curves, and a web-based calculator was developed. …”
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Advanced prediction of radar reflectivity using U-Net with visual and infrared data from Himawari-8 by Andi Patombongi, Agus Harjoko, Moh Edi Wibowo, I Made Wahyu Gana Putra

“…The study concluded that selecting optimal input channels and modifying the model architecture could significantly improve the accuracy and efficiency of radar reflectivity prediction. …”
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Exploring the factors influencing the co-pyrolysis of walnut shells, pistachio shells, and polypropylene based on thermal behavior, kinetics and reaction mechanism by Zhigang Huang, Tong Zhang, Chen Wang, Wenbo Xiao, Zihan Wang, Obid Tursunov, Jiahui Wu, Yuguang Zhou, Xiaolong Yao, Gang Li

“…In this study, walnut shells (WS) and pistachio shells (PS) were chosen as representative biomass materials to systematically investigate their co-pyrolysis characteristics with PP. Model-free isoconversional methods such as Flynn-Wall-Ozawa, Kissinger-Akahira-Sunose, Starink and Vyazovkin, were employed to analyze pyrolysis kinetics. …”
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A multi-level, multi-scale comparison of LiDAR- and LANDSAT-based habitat selection models of Mexican spotted owls in a post-fire landscape by Ho Yi Wan, Michael A. Lommler, Samuel A. Cushman, Jamie S. Sanderlin, Joseph L. Ganey, Andrew J. Sánchez Meador, Paul Beier

“…When optimized for spatial scale, LANDSAT- and LiDAR-based models exhibited comparable predictive accuracy (AUC = 0.976 and 0.975, respectively), emphasizing the critical role of scale in model performance. …”
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