Effects of Feeding Genetically Modified Crops to Domestic Animals: A Review by Muhammad Zeeshan Akram, Sema Yaman, Hassan Jalal, Sibel Canoğulları Doğan, Sana Shahid, Basit Shaukat Ali

“…The most of peer-reviewed papers evaluating the effects of feeding animals with transgenic crops were based on GM plants with improved agronomic traits i.e. herbicide-tolerant plants and pets-tolerant plants; however, in some cases GM plants with boosted nutritional properties assessed. …”
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Interpretable machine learning model integrating contrast-enhanced CT environmental radiomics and clinicopathological features for predicting postoperative recurrence in lung adeno... by Song Lin, Song Lin, Yanli Niu, Yanli Niu, Lina Song, Yingjian Ye, Jinfang Yang, Junjie Liu, Xin Zhou, Xin Zhou, Peng An, Peng An

“…The nomogram integrated these factors, enhancing model interpretability and clinical applicability.ConclusionThe CatBoost model integrating CECT environmental radiomics and clinicopathological parameters effectively predicts postoperative LA recurrence, supporting personalized adjuvant therapy decisions. …”
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The Jackknife method as a new approach to validate strong lens mass models by Shun Nishida, Masamune Oguri, Yoshinobu Fudamoto, Ayari Kitamura

“…While the mass model is optimized by changing parameters of the mass model to match predicted positions of multiple images with observations, positional uncertainties of multiple images often need to be boosted to take account of the complex structure of dark matter in lens objects, making the interpretation of the chi-square value difficult. …”
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A cutting-edge Wide-Band MIMO Antenna for Modern Wireless Applications by Sanjay Chouhan, Debendra Kumar Panda, Sarthak Singhal, Jitendra Yadav

“…The isolation essentialities have been considered through the parasitic elements (PE) with T-shaped isolation structure for isolation boost. The antenna under consideration is optimized to achieve the best MIMO performance parameters. …”
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Surface engineering for enhanced wicking: The role of laser machining and surface roughness by Elham Lori Zoudani, Nam-Trung Nguyen, Navid Kashaninejad

“…., flow rate, water meniscus shape, and durability, was evaluated under various conditions, including different laser parameters, channel orientation, and engraving designs. …”
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Filamentary Convolution for SLI: A Brain-Inspired Approach with High Efficiency by Boyuan Zhang, Xibang Yang, Tong Xie, Shuyuan Zhu, Bing Zeng

“…Visualization confirms its enhanced sensitivity to critical frequency variations (e.g., intonation, rhythm) for language recognition. Evaluated via self-built datasets and cross-validated with public corpora, filamentary convolution improves the low-level feature extraction efficiency and synergizes with temporal models (LSTM/TDNN) to boost recognition. …”
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The Role of Hydrochar as Anaerobic Digestion Process Additive and CO2 Adsorbent by Annalinda Capone, Antonio Panico, Annarita Travaglino, Lucio Zaccariello, Hèlène Ageorges, Biagio Morrone

“…This article focuses on the sequential integration of HTC with Anaerobic Digestion (AD) utilizing HTC products as a boost to the AD process and CO2 capture. This study investigates the sequential integration of HTC and AD, evaluating the effect of hydrochar addition on methane production from sewage sludge under mesophilic (35°C) conditions. …”
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Meta-Learning-Based Prediction of Different Corn Cultivars from Color Feature Extraction by Abdullah Beyaz, Dilara Gerdan

“…One hundred samples were used for each corn cultivar, and 300 corn grains in total were used for evaluations. Each of nine color parameters (Rmin, Rmean, Rmax, Gmin, Gmean, Gmax, Bmin, Bmean, Bmax) which were obtained from original RGB color channels with maximum and minimum values was evaluated from the digital images of three different corn cultivar grains. …”
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Dietary impact of Ocimum tenuiflorum leaf extract on the growth metrics and immune responses of shrimp (Penaeus monodon) against white spot syndrome virus (WSSV) by Md Rejwanul Haque Galib, Alokesh Kumar Ghosh, Wasim Sabbir

“…The present study was conducted to evaluate the efficacy of Ocimum tenuiflorum extract against the white spot syndrome virus (WSSV) in black tiger shrimp (Penaeus monodon) following oral administration in vivo. …”
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AI-based algorithms for estimating hydrochar properties in terms of biomass ultimate analysis by Raouf Hassan, Ali sharifzadegan, Alireza Baghban

“…This study uniquely integrates an extensive dataset and a comprehensive suite of state-of-the-art machine learning algorithms and advanced feature importance analysis to enhance the predictive modeling and interpretability of hydrochar yield and HHV based on biomass properties and process parameters. Various machine learning approaches were evaluated for their predictive performance. …”
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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

“…The aromatic profile was evaluated by the RATA methodology and liking level. …”
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Nose-to-Brain Delivery of Chitosan-Grafted Leciplexes for Promoting the Bioavailability and Antidepressant Efficacy of Mirtazapine: In Vitro Assessment and Animal Studies by Amani M. El Sisi, Essam M. Eissa, Ahmed H. E. Hassan, Marina A. Bekhet, Fatma I. Abo El-Ela, Eun Joo Roh, Rasha M. Kharshoum, Adel A. Ali

“…Pharmacodynamics’ and immunohistopathological evaluations proved that optimum intranasal CS-MRZ-LPX boosted antidepressant activity compared to the oral and free nasal drug administration. …”
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Experimental Characterization of Glass/ Carbon Hybrid Composite Reinforced by SiO2 Nanoparticles by Thaker S. Dawood, Basim M. Fadhil, Dlair O. Ramadan

“…To understand and analyze the impacts of fiber orientation and SiO2 nanoparticles, mechanical parameters, such as tensile and flexural strength, were evaluated. …”
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A Federated Reinforcement Learning Framework via a Committee Mechanism for Resource Management in 5G Networks by Jaewon Jeong, Joohyung Lee

“…In this framework, DRL agents in each MEC make local scaling decisions and exchange model parameters with other MECs, rather than sharing raw data. …”
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Deep neural networks and fractional grey lag Goose optimization for music genre identification by Yuanye Tian

“…A fractional-order-based variant of the Grey Lag Goose Optimization (FGLGO) algorithm is used to optimize the parameters of ResNeXt to boost the performance of the model. …”
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Biostimulant Effect and Antioxidant Responses of Carrot Extract and the Viability of Rice Seeds Under Salt Stress by Sheila Bigolin Teixeira, Stefânia Nunes Pires, Caroline Hernke Thiel, Cristiane Deuner, Diogo da Silva Moura, Natalia da Silva Garcia, Filipe Selau Carlos, Fernanda Reolon de Souza, Te Ming Tseng, Sidnei Deuner

“…Based on the combined analysis of the evaluated parameters, carrot extract application under the tested conditions was efficient in mitigating oxidative stress caused by high salinity conditions.…”
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An extended TOPSIS technique based on correlation coefficient for interval-valued q-rung orthopair fuzzy hypersoft set in multi-attribute group decision-making by Rana Muhammad Zulqarnain, Imran Siddique, Sameh Askar, Ahmad M. Alshamrani, Dragan Pamucar, Vladimir Simic

“…These coefficients deliver an objective description of the association between parameters, assisting in predicting and assessing alterations between particular parameters. …”
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Using machine learning as a surrogate model for agent-based simulations. by Claudio Angione, Eric Silverman, Elisabeth Yaneske

“…In this proof-of-concept work, we evaluate the performance of multiple machine-learning methods as surrogate models for use in the analysis of agent-based models (ABMs). …”
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Heat transfer of ternary hybrid nanofluids in a rotating semi-permeable channel with melting and injection/suction by Rajapriyanka Eswaran, M. S. Jagadeesh Kumar

“…A detailed parametric investigation was conducted to evaluate the influence of key parameters, including the Hartmann number, Reynolds number, Eckert number, nanoparticle volume fraction, skin friction coefficient, and Nusselt number. …”
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A New Proposed Hybrid Learning Approach with Features for Extraction of Image Classification by Mohanad Azeez Joodi, Muna Hadi Saleh, Dheyaa Jasim Kadhim

“…A hybrid supervised learning system that takes advantage of rich intermediate features extracted from deep learning compared to traditional feature extraction to boost classification accuracy and parameters is suggested. …”
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