Eco-benign synthesis of multifunctional silver nanoparticles using leptochloa fusca for enhanced biomedical and catalytic applications by Riaz Ahmad Khan, Hidayat Ullah Khan, Shahnaz, Kamran Tahir, Moamen S Refat, Abdel Majid A Adam, Amnah Mohammed Alsuhaibani

“…LF-AgNPs efficiently catalysed the reduction of methylene blue in less than 9 min, using NaBH _4 as a reducing agent. …”
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How to improve your sleep quality? Review of non-pharmacological methods by Urszula Szymczak, Wojciech Wiesław Lachór, Monika Barbara Solarz, Julia Piekarska, Justyna Maria Solarz, Jakub Tomasz Wawrzyńców, Weronika Cyrkler, Jakub Robak, Stanisław Telega, Paweł Bollin

“…They are an effective element of relieving these disorders, but in the case of more complex or severe cases they may not be sufficient. …”
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Research progress on anaerobic digestion and degradation of lignocellulosic waste by rumen microorganisms by MU Lan, XU Fenglian, CHENG Zhanjun, WANG Yifan, SHI Yan, TAO Junyu*, CHEN Guanyi

“…Lignocellulosic biomass waste is an important raw material for anaerobic digestion to produce bioenergy. However, its complex three-dimensional structure leads to a low substrate conversion rate and poor technical economic efficiency during anaerobic digestion. …”
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Static pressure prediction method for CO2 flooding oil reservoirs based on time series partitioning Transformer model by LI Chunlei, YANG Heshan, ZHANG Hongxia, CAO Yumin, JIANG Xingxing, JIN Caixia

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A framework of crop water productivity estimation from UAV observations: A case study of summer maize by Minghan Cheng, Ni Song, Josep Penuelas, Matthew F. McCabe, Xiyun Jiao, Yuping Lv, Chengming Sun, Xiuliang Jin

“…However, current methodologies face limitations in estimation accuracy and operational efficiency due to the multidisciplinary complexity integrating agronomic and hydrological expertise. …”
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Ensemble genetic and CNN model-based image classification by enhancing hyperparameter tuning by Wajahat Hussain, Muhammad Faheem Mushtaq, Mobeen Shahroz, Urooj Akram, Ehab Seif Ghith, Mehdi Tlija, Tai-hoon Kim, Imran Ashraf

“…In image classification, selecting the appropriate hyperparameters can substantially boost the model’s ability to learn intricate patterns and features from complex image data. …”
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Development of a chemically defined medium for Yarrowia yeasts using a strategy of biological mimicry by Oliver Birrenbach, Peter Czermak

“…Background: The efficiency of recombinant protein production in Yarrowia lipolytica is strongly influenced by the culture medium. …”
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Improved Algorithm to Detect Clandestine Airstrips in Amazon RainForest by Gabriel R. Pardini, Paulo M. Tasinaffo, Elcio H. Shiguemori, Tahisa N. Kuck, Marcos R. O. A. Maximo, William R. Gyotoku

“…By addressing the limitations identified in the initial approach, this refined algorithm aims to improve detection accuracy and operational efficiency in complex rainforest environments. Tests in a selected area of the Amazon showed that the modified algorithm resulted in a recall drop of approximately 1% while reducing false positives by 26.6%. …”
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Prediction of Reservoir Flow Capacity in Sandstone Formations: A Comparative Analysis of Machine Learning Models by Micheal Ayodeji Ogundero, Taiwo Adelakin, Kehinde Orolu, Isaac Femi Johnson, Theophilus Akinfenwa Fashanu, Kingsley Abhulimen

“…The algorithms were selected for their ability to model complex relationships in reservoir characterization, with Random Forest excelling in high-dimensional data handling, ANN in pattern learning, and SVR in regression-based predictions.  …”
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Multi-Objective Ore Blending Optimization for Polymetallic Open-Pit Mines Based on Improved Matter-Element Extension Model and NSGA-II by Jun Xiang, Jianhong Chen, Aishu Zhang, Xing Zhao, Shengyuan Zhuo, Shan Yang

“…This study constructs a multi-objective ore blending optimization system for complex polymetallic open-pit mines based on the improved matter-element extension model and NSGA-II algorithm. …”
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A framework for assessing reliability of observer annotations of aerial wildlife imagery, with insights for deep learning applications. by Rowan L Converse, Christopher D Lippitt, Steven E Sesnie, Grant M Harris, Matthew J Butler, David R Stewart

“…However, even skilled observers may diverge in interpreting aerial imagery of complex environments, which may result in downstream instability of models. …”
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Heat Loss Determination of District Heating Pipelines. A Comparison of Numerical and Analytical Methods by Wieland Aaron, Dollhopf Stefan, Weidlich Ingo, Langroudi Pakdad Pourbozorgi

“…Assessing the energy efficiency of district heating systems considers the network heat losses. …”
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LWRNPIP: Design of a light weight restrictive non-fungible token based on practically unclonable functions via image signature patterns by Mahesh Kumar Singh, Pushpa Choudhary, Arun Kumar Singh, Pushpendra Singh

“…Designing NFTs requires selecting different blockchain-based consensus models, encryption techniques, and distribution mechanisms. …”
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RACF: A Multimodal Deep Learning Framework for Parkinson’s Disease Diagnosis Using SNP and MRI Data by Jiangbo Cao, Xiaojing Long

“…In contrast to traditional methods, deep learning models are capable of processing large-scale, high-dimensional, and complex datasets to automatically learn latent feature relationships, making them particularly suitable for scenarios involving multimodal data fusion. …”
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HYGIENIC ASSESSMENT OF THE ACTUAL CONSUMPTION OF MICRONUTRIENTS BY INTERNATIONAL STUDENTS FROM INDIA by K.S. Melnyk

“…The diet of this ethnic group needs a complex correction by these indicators of diet diversity using local, seasonal food, educational work among international students in order to increase awareness of healthy eating and the composition of local products, development of diets adapted to the culinary, cultural and ethno-religious traditions this layer student, because selective, monotonous nutrition, increased requirements for micronutrients due to changes in climatic and time zones, ethno-religious restrictions in nutrition create conditions for the formation of nutrition-related diseases in this social group.…”
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Technological Advancements in Human Navigation for the Visually Impaired: A Systematic Review by Edgar Casanova, Diego Guffanti, Luis Hidalgo

“…Visually impaired people face significant obstacles when navigating complex environments. However, recent technological advances have greatly improved the functionality of navigation systems tailored to their needs. …”
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CRISPR/Cas9-based genetic screen of SCNT-reprogramming resistant genes identifies critical genes for male germ cell development in mice by Most Sumona Akter, Masashi Hada, Daiki Shikata, Gen Watanabe, Atsuo Ogura, Shogo Matoba

“…Abstract Male germ cells undergo complex developmental processes eventually producing spermatozoa through spermatogenesis, although the molecular mechanisms remain largely elusive. …”
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Entrepreneurship and territorial economic development in Algeria by Younes Ferdj

“…The complex interaction between entrepreneurship and economic development underscores the importance of understanding how these elements interact and mutually influence each other. …”
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Аdaptive combined image coding with prediction of arithmetic code volume by B J.S Sadiq, V. Yu. Tsviatkou, М. N. Bobov

“…For DPCM bit planes of pixel values of any image, a combination of simple run length coders and complex arithmetic coders can be selected that provides the maximum compression ratio for each bit plane and all planes in general with the least computational complexity. …”
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SiMBA-Augmented Physics-Informed Neural Networks for Industrial Remaining Useful Life Prediction by Min Li, Jianfeng Qin, Haifeng Fan, Ting Ke

“…The framework achieves dynamic fusion of data-driven features and physical laws through a two-branch synergistic mechanism: the temporal modeling branch combines selective state-space SiMBA with Einstein Fast Fourier Transform (EinFFT)-based spectral mixing to efficiently capture cross-sensor temporal dependencies and degradation trends, while the physics-constraint branch embeds automatically differentiable partial differential equation residuals derived from domain-specific degradation mechanisms, enforcing physical consistency through deep hidden physics modeling. …”
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