MiR-145 encapsulated small extracellular vesicles inhibit colorectal cancer progression by downregulating fascin actin-bundling protein 1 expression by Yanxia Chen, Meijuan He, Lei Cui, Jianguo Zhang, Hanpeng Huang, Zhimin Tao

“…Results Our results revealed that the efficient loading of miR-145 into sEVs could be achieved through a dynamic combination of sonication and electroporation. …”
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Preparation and Anti-cancer Evaluation of Methotrexate-loaded Inositol-6 Phosphate Cross-linked Chitosan Nanoparticles on Breast Cancer by Masoud Farshbaf, Nasrin Gobakhlou, Muhammad Sarfraz, Javid Shahbazi-Mojarrad, Mohammad Feyzizadeh, Hamed Hamishehkar, Parvin Zakeri-Milani, Hadi Valizadeh

“…Purpose: Chitosan nanoparticles (CNs) have directed considerable research efforts towards developing biocompatible, biodegradable, inexpensive and efficient particulate drug delivery systems. Methods: In the present investigation, we utilized green and safe inositol hexaphosphate (InsP6) as a physical cross-linker to obtain CNs (InsP6CNs) and compared their size, zeta potential and cell uptake ability with the CNs cross-linked with tripolyphosphate (TPP) as a commonly used cross-linker (TPPCNs). …”
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Depth based: No Reference Stereoscopic Image Quality Assessment by S. Kiruthika, J. Joshan Athanesious, D. Rushma

“…Article highlights A novel stereo-IQA model that predicts the ability of stereoscopic image pairs to generate accurate depth maps, rather than focusing on perceptual distortions. …”
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Accelerated development of multi-component alloys in discrete design space using Bayesian multi-objective optimisation by Osman Mamun, Markus Bause, Bhuiyan Shameem Mahmood Ebna Hai

“…Bayesian optimisation (BO) protocols grounded in active learning (AL) principles have gained significant recognition for their ability to efficiently optimize black-box objective functions. …”
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Barlow Twins deep neural network for advanced 1D drug–target interaction prediction by Maximilian G. Schuh, Davide Boldini, Annkathrin I. Bohne, Stephan A. Sieber

“…The use of our hybrid approach of deep learning and gradient boosting machine as the underlying predictor ensures fast and efficient predictions without the need for substantial computational resources. …”
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Investigation of the Cyanothece nitrogenase cluster in Synechocystis: a blueprint for engineering nitrogen-fixing photoautotrophs by Deng Liu, Anindita Bandyopadhyay, Michelle Liberton, Himadri B. Pakrasi, Maitrayee Bhattacharyya-Pakrasi

“…We also show that optimal expression of these genes is crucial for efficient nitrogenase activity. Our findings provide a solid foundation for generating synthetic systems that will facilitate solar-powered conversion of atmospheric nitrogen into nitrogen-rich compounds, a stride toward a greener world.IMPORTANCEIntegrating nitrogen fixation genes into various photosynthetic organisms is an exciting strategy for converting atmospheric nitrogen into nitrogen-rich products in a green and energy-efficient way. …”
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Abnormality-aware multimodal learning for WSI classification by Thao M. Dang, Qifeng Zhou, Yuzhi Guo, Hehuan Ma, Saiyang Na, Thao Bich Dang, Jean Gao, Junzhou Huang

“…This approach enhances the ability to comprehensively analyze WSIs for cancer diagnosis and subtyping. …”
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Combining household surveys and interviews to understand irrigation technology adoption among farmers in Maharashtra (India) by Anja Šaponjić, Soham Adla, Lisa Scholten, Erik Mostert, Saket Pande

“…Farmers who adopt micro irrigation systems are often more well-off than farmers adopting furrow irrigation systems and their ability to invest outweighs the importance of saving water through the adoption of efficient micro irrigation systems. …”
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Optimization of the Traceability of Perishable Products Through Light Blockchain and IoT in the Food Industry by William Villegas-Ch, Jaime Govea, Pablo Santiago Moncayo-Moncayo, Alexandra Maldonado Navarro, Carlos Chavez-Pirca

“…These solutions are often insufficient to ensure fast response times, energy efficiency, and scalability in dynamic scenarios, negatively impacting the quality and safety of food products. …”
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A novel index combining meteorological, hydrological, and ecological anomalies used for ecological drought assessment at a grassland-type basin scale by Yixuan Wang, Tingxi Liu, Limin Duan, Shaojie Chu, Jin Sun, Xin Tong, Lina Hao, Yongzhi Bao, Yu Gong

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Solid-State Materials for Opto-Spintronics: Focus on Ferromagnets and 2D Materials by Ana-Maria Florea (Raduta), Stefan Caramizoiu, Ana-Maria Iordache, Stefan-Marian Iordache, Bogdan Bita

“…By combining opto-spintronics with solid-state systems, spintronic devices could become faster and more efficient, leading to new technological advancements and scalable technologies.…”
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Ultrasound-assisted extraction, optimization, characteristics and antioxidant activity of Piper nigrum L. polysaccharides by Laiqing Deng, Gangliang Huang

“…In addition, UAE-PNP had great antioxidant activity, especially in its ability to scavenge ABTS free radicals. According to the experimental results, the UAE method was an efficient way to extract PNP. …”
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Improved High-Order Difference Scheme for the Conservation of Mass and Energy in the Two-Dimensional Spatial Fractional Schrödinger Equation by Junhong Tian, Hengfei Ding

“…In this paper, our primary objective is to develop a robust and efficient higher-order structure-preserving algorithm for the numerical solution of the two-dimensional nonlinear spatial fractional Schrödinger equation. …”
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Adaptive method runtime safety assurance for autonomous driving in dynamic scenarios by XU Bingfeng, CHEN Jialing, YANG Shuailing, HE Gaofeng

“…An adaptive method runtime safety assurance for autonomous driving in dynamic scenarios was proposed to address the issue that existing safety control approaches lack the ability to adjust dynamically to actual driving environments, resulting in reduced traffic efficiency. …”
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Going beyond borders after a pandemic: Preparedness of teachers to embrace E-learning in a small Philippine university by DYANIKA NOLASCO, DANISSE MAE HERNANDEZ

“…Teachers' ability to adapt and embrace online teaching, supported by their technological proficiency and positive mindset, is seen as a potential remedy to the educational obstacles during the pandemic. …”
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Malicious software identification based on deep learning algorithms and API feature extraction by Wei Sun

“…The efficient malware identification method developed can cope with the constantly evolving malware threats.…”
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A two‐stage procurement model for humanitarian relief supply chains by Mauro Falasca, Christopher W. Zobel

“…Findings – – Results show the ability of the new model to capture and model both the procurement process and the uncertainty inherent in a disaster relief situation, in support of more efficient and effective procurement plans. …”
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Integrating molecular QTL data into genome-wide genetic association analysis: Probabilistic assessment of enrichment and colocalization. by Xiaoquan Wen, Roger Pique-Regi, Francesca Luca

“…The proposed approach is computationally efficient and requires only summary-level statistics. …”
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Advancing construction safety: YOLOv8-CGS helmet detection model. by Zhihui Wu, Xiaojia Lei, Munish Kumar

“…This enhancement allows YOLOv8-CGS to provide more efficient and accurate helmet detection in practical applications, significantly improving the real-time monitoring capabilities for construction site safety management.…”
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State of Health Prediction for Lithium-Ion Batteries Using Transformer–LSTM Fusion Model by Xunfei Cai, Tundong Liu

“…Then, using the self-attention mechanism of transformer and the long-term dependency capture ability of LSTM, an efficient fusion model is constructed to further improve the accuracy and stability of SOH prediction. …”
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