Growth Propagation of Liquid Spawn on Non-Woven Hemp Mats to Inform Digital Biofabrication of Mycelium-Based Composites by Andreas Biront, Mart Sillen, Patrick Van Dijck, Jan Wurm

“…Mycelium-based composites (MBCs) are highly valued for their ability to transform low-value organic materials into sustainable building materials, offering significant potential for decarbonizing the construction sector. …”
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ZAS-F: A Zero-Shot Abstract Sub-Goal Framework Empowers Robots for Long Horizontal Inventory Tasks by Yongshuai Wu, Jian Zhang, Shaoen Wu, Shiwen Mao, Ying Wang

“…ZAS-F is an imitation-learning-based method that efficiently learns a task policy from a few demonstrations. …”
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Enhancing Secure Medical Data Communication Through Integration of LSB and DCT for Robust Analysis in Image Steganography by Ramyashree, P. S. Venugopala, S. Raghavendra, Vijay S. Kubihal

“…The LSB method is renowned for its simplicity and its ability to extract data without introducing errors. …”
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Probiotic potential and safety assessment of bacteriocinogenic Enterococcus faecalis CAUM157 by Arxel G. Elnar, Geun-Bae Kim

“…CAUM157 also exhibited robust auto-aggregation and co-aggregation when interacting with Listeria monocytogenes. Finally, the ability to produce a broad-spectrum bacteriocin in conjunction with other factors indicates a potentially efficient mechanism for mitigating the pathogenicity of detrimental bacteria, including Staphylococcus aureus, Clostridium perfringens, and Streptococcus mutans.ConclusionEnterococcus faecalis CAUM157 survived exposure to artificial gastric conditions and exhibited robust auto- and co-aggregation capacity with Listeria. …”
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Degradation of amyloid β-peptides catalyzed by nattokinase in vivo and in vitro by Aixin Ni, He Li, Ruya Wang, Rentong Sun, Yingjiu Zhang

“…In this study, the Aβ42/Aβ40-degrading ability of NK was investigated using five Aβs and AD model mice. …”
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FedBFGCN: A Graph Federated Learning Framework Based on Balanced Channel Attention and Cross-Layer Feature Fusion Convolution by Hefei Wang, Ruichun Gu, Jingyu Wang, Xiaolin Zhang, Hui Wei

“…Through the organic fusion of these two modules, the FedBFGCN achieves efficient, robust, and more comprehensive node embedding representation, demonstrating excellent performance in node classification and prediction tasks. …”
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Assessing the impact of an environmentally friendly approach on irreversible dental hydrocolloid performance by Leonie Beuter, Christoph Bourauel, Lamia Singer

“…Green nanoparticle synthesis is a safe, efficient, and non-toxic method, potentially synergizing metal ions with plant extract.…”
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Classification of Nanomaterial Drug Delivery Systems for Inflammatory Bowel Disease by Wang H, Zhou F, Shen M, Ma R, Yu Q

“…These formulations can enhance a drug’s pharmacokinetics by modifying its properties, improve its ability to cross barriers, and boost bioavailability. …”
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Enhanced MRI brain tumor detection using deep learning in conjunction with explainable AI SHAP based diverse and multi feature analysis by Asif Rahman, Maqsood Hayat, Nadeem Iqbal, Fawaz Khaled Alarfaj, Salem Alkhalaf, Fahad Alturise

“…This achievement is ascribed with MRI–based feature extraction by combining high resolution, non-invasive imaging capabilities with the powerful analytical abilities of CNN. CNN demonstrates superiority in medical imaging owing to its ability to learn intricate spatial patterns and generalize effectively. …”
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Rapid removal of anionic dyes from water, using poly (diallyldimethylammonium chloride) and branched polyethyleneimine functionalized cellulose extracted from Echinops bannaticus l... by Raoudha Soury, Mahjoub Jabli, Ahmed Al Otaibi

“…The analyzed cellulosic materials were investigated for their ability to adsorb an anionic Acid Blue 25 (AB25) dye from water. …”
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Photovoltaic Farm Power Generation Forecast Using Photovoltaic Battery Model with Machine Learning Capabilities by Agboola Benjamin Alao, Olatunji Matthew Adeyanju, Manohar Chamana, Stephen Bayne, Argenis Bilbao

“…Microgrids integrating PV face challenges such as solar irradiance variability, temperature fluctuations, and intermittent generation, which impact grid stability and battery storage efficiency. Existing models often lack predictive accuracy, computational efficiency, and adaptability to changing environmental conditions. …”
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Lipid-Polymer Hybrid Nanoparticles as a Smart Drug Delivery System for Peptide/Protein Delivery by Alharith A. A. Hassan, Eslam Ramadan, Katalin Kristó, Géza Regdon, Tamás Sovány

“…Liposomes and other lipid-based nanocarriers show excellent biocompatibility and the ability to encapsulate hydrophobic and hydrophilic drugs; however, they often suffer from poor structural stability, premature leakage of the loaded drugs, and poor encapsulation efficiency for macromolecular peptides and proteins. …”
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IoT-based prediction model for aquaponic fish pond water quality using multiscale feature fusion with convolutional autoencoder and GRU networks by Suma Christal Mary Sundararajan, Yamini Bhavani Shankar, Sinthia Panneer Selvam, Nalini Manogaran, Koteeswaran Seerangan, Deepa Natesan, Shitharth Selvarajan

“…Abstract The Internet of Things (IoT)-based smart solutions have been developed to predict water quality and they are becoming an increasingly important means of providing efficient solutions through communication technologies. …”
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Benchmark Pashto Handwritten Character Dataset and Pashto Object Character Recognition (OCR) Using Deep Neural Network with Rule Activation Function by Imran Uddin, Dzati A. Ramli, Abdullah Khan, Javed Iqbal Bangash, Nosheen Fayyaz, Asfandyar Khan, Mahwish Kundi

“…Optical character recognition (OCR) is the ability of a machine to recognize the character of a language. …”
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Tuning localized surface plasmon resonance of star-like gold nanoparticles by in situ growth on crystalline nanocellulose for SERS substrates by Alfredo Ayala-Fonseca, Gonzalo Ramírez-García, Andrés De Luna Bugallo, Elder De la Rosa, Pedro Salas

“…These findings demonstrate the ability to control the size, shape, and SERS activity of AuNPs by adjusting CNC concentration, offering valuable insights for designing efficient SERS substrates for analytical applications.…”
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A Formulation–Process–Product Integrated Design Method for Accelerating Pharmaceutical Tablet Development via the High-Shear Wet Granulation and Tableting Route by Zichen Liang, Xuefang Tang, Liping Chen, Yifei Liu, Shuying Zhao, Xiao Ma, Gan Luo, Bing Xu

“…The performance of FPPID was demonstrated through the efficient development of high-drug-loading tablets. …”
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Inhibition of esophageal squamous cell carcinoma progression by MIR210HG and activation of the P53 signaling pathway to promote apoptosis and autophagy by Jianyu Wang, Zhenhu Zhang, Liang Song, Xiangyan Liu, Xiaopeng He

“…Abstract Background Esophageal squamous cell carcinoma (ESCC) stands among the frequently occurring malignancies. The lack of efficient early detection methods and therapeutic approaches leads to a high mortality rate for ESCC. …”
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Blockchain Technology and Social Policy Transformation: A Critical Examination and Recommendations by Nurten Ebru Özdemir, Gökçe Cerev, Doğa Başar Sarıipek, Salih Tosun

“…In an era prioritising citizenship ties, the importance of financial stability and efficiency has never been greater, necessitating the formulation of precise needs-based social protection policies. …”
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Influence of type traits on stayability in the Ital- ian Mediterranean buffalo by Damiano Altieri, Stefano Biffani, Mayra Gómez, Yuri Gombia, Dario Rossi, Luca Gubitosi, Nadia Piscopo, Francesca Carnovale, Rossella Di Palo

“…Investigating the relationship between some morphological traits and longevity would give them the proper em-phasis in formulating genetic indexes or creating specific aggregated indexes to make the selection process more efficient. …”
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Fine Tuning Hyperparameters of Deep Learning Models Using Metaheuristic Accelerated Particle Swarm Optimization Algorithm by Abdel-Hamid M. Emara, Ghada Atteia, Jawad Hasan Alkhateeb

“…The success of CNNs can be attributed to their ability to learn hierarchical representations from data. …”
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