Automating life science labs at the single-cell level through precise ultrasonic liquid sample ejection: PULSE by Peiran Zhang, Zhenhua Tian, Ke Jin, Kaichun Yang, Wesley Collyer, Joseph Rufo, Neil Upreti, Xianjun Dong, Luke P. Lee, Tony Jun Huang

“…However, the availability of automation solutions at the single-cell level remains scarce, primarily owing to the inherent challenges of handling cells with such small dimensions in a precise, biocompatible manner. …”
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Use of Unmanned Aerial Vehicles for Monitoring Pastures and Forages in Agricultural Sciences: A Systematic Review by Wagner Martins dos Santos, Lady Daiane Costa de Sousa Martins, Alan Cezar Bezerra, Luciana Sandra Bastos de Souza, Alexandre Maniçoba da Rosa Ferraz Jardim, Marcos Vinícius da Silva, Carlos André Alves de Souza, Thieres George Freire da Silva

“…With the growing demand for efficient solutions to face the challenges posed by population growth and climate change, the use of unmanned aerial vehicles (UAVs) emerges as a promising solution for monitoring biophysical and physiological parameters in forage crops due to their ability to collect high-frequency and high-resolution data. …”
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Light‐Controlled Magnetic Properties: An Energy‐Efficient Opto‐Mechanical Control over Magnetic Films by Liquid Crystalline Networks by Gabriele Barrera, Daniele Martella, Federica Celegato, Neri Fuochi, Marco Coïsson, Camilla Parmeggiani, Diederik S. Wiersma, Paola Tiberto

“…Abstract Magnetostrictive materials are essential components in sensors, actuators, and energy‐storage devices due to their ability to convert mechanical stress into changes in magnetic properties and vice‐versa. …”
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Theory of an Automatic Seepage Meter and Ramifications for Applications by Vitaly A. Zlotnik, D. Kip Solomon, David P. Genereux, Troy E. Gilmore, C. Eric Humphrey, Aaron R. Mittelstet, Anatoly V. Zlotnik

“…., 2020, https://doi.org/10.1029/2019WR026983). The ability to infer flux values with high temporal resolution relies on an accurate interpretation of water level dynamics inside the tube. …”
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Sustainable Optimization of the Injection Molding Process Using Particle Swarm Optimization (PSO) by Yung-Tsan Jou, Hsueh-Lin Chang, Riana Magdalena Silitonga

“…This research provides manufacturers with a practical, scalable solution that transforms injection molding from an experience-dependent craft to a data-driven science. …”
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FloodGNN-GRU: a spatio-temporal graph neural network for flood prediction by Arnold Kazadi, James Doss-Gollin, Antonia Sebastian, Arlei Silva

“…Classical approaches for flood prediction apply numerical methods for the solution of partial differential equations that capture the physics of inundation processes (e.g., the 2D Shallow Water equations). …”
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Review and application prospect of natural gas pipeline network system resilience research by Zhaoming YANG, Qi XIANG, Huai SU, Jinjun ZHANG

“…Herein, the NGPNS resilience research was conducted based on the vulnerability of the pipeline network system to disturbance, as well as its robustness (reliability) and recovery ability, with the global and local view in combination. …”
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A Novel Approach to Automated Mapping Subweekly Calving Front of Petermann Glacier (2016–2023)—Using Sentinel-2 Satellite Data and Segment Anything Model (SAM) by Daan Li, Liming Jiang, Shun Cai, Ronggang Huang, Xi Lu

“…This automated workflow provides a precise and efficient solution for monitoring glacier advance and retreat, enabling improved quantification of ice sheet mass loss and enhanced assessment of glacier-related hazards.…”
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Enhancing corn yield prediction: Optimizing data quality or model complexity? by Yuting Zhou, Shengfang Ma, Huihui Zhang, Sathyanarayanan Aakur

“…RGB sensors) and the ability to predict yield from observations across growth stages. …”
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Adaptive distributed honeypot detection network for enhanced cybersecurity against DoS and DDoS attacks by V. Selva Kumar, K.R. Mohan Raj, S. Gopalakrishnan, G. Vennila, D. Dhinakaran, P. Kavitha

“…These attacks, characterized by their ability to disrupt services and compromise resources, require innovative and robust detection mechanisms to safeguard highly interactive environments such as honeypot systems. …”
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Concentration of heavy metal ions from aqueous media under dynamic conditions using a composite sorbent based on chitosan and silica by V. A. Gabrin, T. E. Nikiforova, V. A. Kozlov, P. B. Razgovorov

“…The method for determining acute toxicity using daphnia (Daphnia magna Straus) is based on the direct calculation of the mortality of daphnia exposed to toxic substances contained in the test aqueous extract in comparison with a reference culture in samples that do not contain toxic substances. The regeneration ability of the sorbent was assessed by counting the number of sorption–desorption cycles using 0.1 M NaOH and 0.1 M NaHCO3 eluents, as well as aqueous solutions of H2O2 (1 and 3%).Results. …”
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Optimized removal of trivalent arsenic from aquatic environments using Prosopis juliflora seed biomass by M. Samimi, J. Nouri

“…This study's objective was to evaluate the ability of biomass derived from Prosopis juliflora fruit to uptake arsenic from wastewater.METHODS: Following the drying process, the harvested biosorbent was processed into a fine powder through grinding. …”
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Preparation of novel zirconium phosphonates for adsorption of lutetium by Wanjun Mu, Baihua Chen, Xingliang Li, Hongyuan Wei, Yuchuan Yang, Shuming Peng

“…In addition, both two materials have a high selectivity for Lu3+ in the mixture solution with the co-existing ions (K+, Na+ and NO3−). …”
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An FPGA-accelerated multi-level AI-integrated simulation framework for multi-time domain power systems with high penetration of power converters by Chen Liu, Peng Su, Hao Bai, Xizheng Guo, Alber Filbà Martínez, Jose Luis Dominguez Garcia

“…The results confirm the framework’s ability to capture multiphysics interactions, optimize energy distribution, and ensure system stability under dynamic conditions, providing an efficient and scalable solution for advanced DC microgrid simulations.…”
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The talk debrief experience: Intervention in prehospital personnel care during the Covid-19 pandemic by Olga Malas, Xavier Perez-Cuit, Jordi García-Sicard, Andrés Cuartero, Gemma Cuartero

“…The study aimed to apply the TALK clinical debriefing intervention to out-of-hospital clinical staff during pandemics; identify their emotions, thoughts, coping strategies, and solution proposals; determine their demands for improving well-being and coping ability; and disseminate valuable knowledge for addressing trauma in similar situations. …”
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An open source, PCR based, point-of-care testing platform by Yaping Xie, Zhou Sha, Shuaiwu Huang, Chiwei Yin, Liangcheng Wan, Jianjun Li, Jiangang Ling, Chang Wu, Lizhong Dai

“…Results of clinical testing further verified its ability to detect multiple viruses, including novel coronavirus, influenza and human papillomavirus. …”
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Isolation and preliminary analysis of a lytic bacteriophage infecting Agrobacterium tumefaciens to control bacterial overgrowth during plant transformation by Anandito Dharmawan, Muhammad Alhas Finaldin, Yuzer Alfiko, Naswandi Nur, Sigit Purwantomo, Antonius Suwanto, Anja Meryandini

“…Agrobacterium tumefaciens is responsible for causing crown gall disease in plants, which it induces by transferring genetic material from its Ti plasmid into the plant genome. This unique ability is exploited in plant genetic engineering but poses challenges, such as overgrowth. …”
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PREDICTION INTERVALS IN MACHINE LEARNING: RESIDUAL BOOTSTRAP AND QUANTILE REGRESSION FOR CASH FLOW ANALYSIS by Wa Ode Rahmalia Safitri, Farit Mochamad Afendi, Budi Susetyo

“…Prediction intervals offer a solution by providing a range of likely outcomes rather than single-point estimates. …”
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Combined Surfactant and Enzyme-Assisted Extraction of Pectin from Hawthorn (Crataegus monogyna Jacq.) Fruits by Anastasia E. Novikova, Liubov N. Skrypnik

“…The study involved a 1% solution of Polysorbate-20 surfactant and a mix of two enzymes, namely cellulase and xylanase, in a ratio of 4:1. …”
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Engineering Magnetic Heterostructures with Synergistic Regulation of Charge‐Transfer and Spin‐Ordering for Enhanced Water Oxidation by Chongyan Hao, Yang Wu, Xiaobo Zheng, Yumeng Du, Yameng Fan, Weikong Pang, Anton Tadich, Shujun Zhang, Thomas Frauenheim, Tianyi Ma, Xiaoning Li, Zhenxiang Cheng

“…Abstract The design of heterojunctions offers a crucial solution for energy conversion and storage challenges, but current research predominantly focuses on charge transfer benefits, often neglecting spin attribute regulation despite the increasing recognition of spin‐sensitivity in many chemical reactions. …”
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