Cucurbit Crops Acquired Silencing: Virus-Induced Post-Transcriptional Silencing Is Transmitted Across the Graft Union by Mei Ai, Wen Han, Zheng Wang, Xinyang Xu, Yanjun He, Weisong Shou, Xuepeng Sun, Huasen Wang, Jia Shen

“…Plant grafting is one of the oldest agricultural technologies, capable of improving biotic and abiotic stress resistance, regulating plant growth, and increasing crop output and quality. Recent analytical technology has revealed that massive numbers of RNAs can move via the phloem to regulate the gene expression in the scion. …”
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Review of Big Data Implementation and Expectations in Smart Cities by Yingnan Zhuang, Jeremy Cenci, Jiazhen Zhang

“…Using the Web of Science (WOS) Core Collection as the data source, an exhaustive visual analysis was conducted, revealing various aspects, including the literature output, journal distribution, geographic study trends, research themes, and collaborative networks of scholars and institutions. …”
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Cooperative Detection for Cell-Free Massive MIMO With Multiple Central Processing Units Under Backhaul Capacity Limitation by Faurdoir Ndimumahoro, Koji Ishibashi

“…Cell-free massive multiple-input multiple-output (CF-mMIMO) systems offer enhanced spectral efficiency (SE) and uniform coverage through cooperative baseband signal processing across geographically distributed, interconnected central processing units (CPUs). …”
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Experimental Validation of Virtual Torque Sensing for Wind Turbine Gearboxes Based on Strain Measurements by Jelle Bosmans, Simone Gallas, Victor Smeets, Matteo Kirchner, Luk Geens, Jan Croes, Wim Desmet

“…Model validation and updating are performed to ensure efficient and accurate prediction of the sensor output. …”
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Characterization of Drought-Tolerant Bacterial Strain From Semiarid Soil of Kenya for Plant Growth Promotion and Drought Stress Amelioration by Emmanuel Ehinmitan, Turoop Losenge, Edward Mamati, Patrick Juma, Beenzu Siamalube, Victoria Ngumi

“…Worldwide, drought significantly impacts crop output and agricultural productivity. To mitigate this, eco-efficient methods to enhance plant growth under drought stress are essential. …”
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Coupling Machine Learning and Physically Based Hydrological Models for Reservoir-Based Streamflow Forecasting by Benjun Jia, Wei Fang

“…Taking the Yalong River as an example, the main results are as follows: (1) Deep learning models (ConvLSTM and LSTM) show good performance in forecast precipitation correction and reservoir operation rule extraction, contributing to streamflow forecasting accuracy. (2) The proposed streamflow deterministic forecasting method has good forecasting performance with <i>NSE</i> above 0.83 for the following 1–5 days. (3) The GMM model, using upstream evolutionary forecasted streamflow, interval forecasted streamflow, and downstream forecasted streamflow as the input–output combination, has good probabilistic forecasting performance and can adequately characterize the “non-normality” and “heteroskedasticity” of forecasting uncertainty.…”
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2D logistic map with unit transfer function and modulus operation based pseudorandom number generation for image encryption by Raiz Ahmad, Ghawar Said, Aymen Flah, Habib Kraiem, Claude Ziad El bayeh, Yousaf Hameed Khattak, Faisal Baig

“…By applying a unit transfer function and modulus operation, the system’s output is constrained within the [0, 1] range, altering the phase space dynamics compared to traditional 2D logistic maps. …”
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Empowering small-scale industries food safety: Designing fuzzy controlled pulse electric field pasteurization by Ika Noer Syamsiana, Mohammad Wildan Fikri Amrullah, Muhammad Akhlis Rizza, Wahyu Aulia Nurwicaksana, Zakiyah Irfin, Ratna Ika Putri, Cahya Rahmad

“…The objective is to develop a more efficient and economical alternative solution for milk preservation. …”
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CsPbCl3:Yb3+ nanocrystals: Adverse effects of colloidally stable ytterbium-rich reaction by-products on luminescent down-conversion performance by Mathis Van de Voorde, Damien Hudry, Dmitry Busko, Bryce S. Richards, Rebecca Saive

“…The development of near infra-red (NIR) emitting down-converters is a promising route for improving photovoltaic output through efficient light management. Quantum-cutting Yb3+-doped CsPbCl3 nanocrystals (NCs) are interesting for this application due to their high photoluminescence quantum yields (PLQY >100 %) and attractive NIR spectral properties which include high absorption cross section and minimal overlap between absorption and emission spectra. …”
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Experimentally Constrained Mechanistic and Data-Driven Models for Simulating NMDA Receptor Dynamics by Duy-Tan J. Pham, Jean-Marie C. Bouteiller

“…However, their dynamics are challenging to capture accurately due to their high complexity and non-linear behavior. <b>Methods</b>: This article presents the elaboration and calibration of experimentally constrained computational models of GluN1/GluN2A NMDA-R dynamics: (1) a nine-state kinetic model optimized to replicate experimental data and (2) a computationally efficient look-up table model capable of replicating the dynamics of the nine-state kinetic model with a highly reduced footprint. …”
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Simultaneous multi-objective optimization of a biogas-based power generation and brine desalination system for using in sport facilities by Li Fan, Zhanguo Su

“…These values correspond to an initial energy efficiency of 71.8 % and an exergy efficiency of 41.64 %. …”
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The Intersection of Nanotechnology and Agriculture: Enhancing Soil Fertility and Nutritional Outcomes – A Comprehensive Review by Shani Gulaiya, Uzma Manzoor, Sahadeva Singh, Kamalkant Yadav, Akanksha Singh Yadav, Ravi Kumar, Bulbul Ahmed, Ravindra Kumar

“…Nanoscience has inspired revolutions in peripheral fields through promising methods like nano-pesticides, nano-sensors, nano-magnets, nano-films, nano-filters, and nano-nutrients. …”
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Technical and Economic Assessment of Technologies for Forage Land Improvement by A. V. Lavrov, A. Kh. Tekushev, S. A. Davydova

“…(Conclusions) A comparative analysis of the technical and economic indicators of machine complexes, including both traditional and advanced multifunctional systems, enables the recommendation of optimal solutions for forage production based on land productivity. The most resource-efficient option for producing a unit of output is achieved through the implementation of high technologies for improving forage lands.…”
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Optimization of Sustainable Seismic Retrofit by Developing an Artificial Neural Network by Hafiz Asfandyar Ahmed, Waqas Arshad Tanoli

“…While the number of input and output neurons is defined by the dataset, determining the right configuration for hidden layers is critical for performance. …”
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DPM-Solver-2M: A Fast Multistep DPM-Solver-Based Scheme for Real-Time MIMO Channel Estimation by Ravi Kumar, Manivasakan Rathinam

“…Unlike conventional discrete-time DPMs, our approach reformulates a lightweight discrete noise prediction model into a continuous-time framework, enabling ODE-based fast multistep solvers with efficient numerical methods. This scheme retains the advantages of discrete models, such as low complexity, while achieving a <inline-formula> <tex-math notation="LaTeX">$\sim 4\times $ </tex-math></inline-formula> speedup in terms of inference steps or number of function evaluations (NFE) during the reverse process over Markovian or ancestral sampling-based DPM estimators, with only a marginal performance trade-off. …”
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FEPA-Net: A Building Extraction Network Based on Fusing the Feature Extraction and Position Attention Module by Yuexin Liu, Yulin Duan, Xuya Zhang, Wen Zhang, Chang Wang

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LDAViewer: An Automatic Language-Agnostic System for Discovering State-of-the-Art Topics in Research Using Topic Modeling, Bidirectional Encoder Representations From Transformers,... by Timothy Dillan, Dhomas Hatta Fudholi

“…Advancements in knowledge are pivotal to academic progress, necessitating efficient methods for discovering the state-of-the-art in various fields. …”
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Optimal Scheduling of Integrated Energy Systems Considering Electric Vehicle Charging Patterns and Supply-Demand Flexibility by LIU Weimin, XIAO Hui, ZENG Linjun, YAN Qin, GUO Huidong, WU Yongxiao

“…The KC enables thermoelectric decoupling and supports flexible， efficient output from the CHP unit. Finally， an IES low-carbon economic optimization model is constructed. …”
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GPT meets PubMed: a novel approach to literature review using a large language model to crowdsource migraine medication reviews by Elyse Mackenzie, Roger Cheng, Pengfei Zhang

“…Despite some inconsistencies in output and methodological limitations, the results highlight the utility of LLMs in enhancing the efficiency of literature review through sentiment analysis.…”
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Radio Frequency Link and User Selection Algorithm for 5G Mobile Communication System by Zhengnan Lv, Zhenghao Xi

“…A low-complexity multiuser hybrid precoding design scheme is proposed based on the wideband millimetre-wave large-scale Multiple-Input Multiple-Output (MIMO) system. The scheme aims to maximize the system spectral efficiency and introduces the net spectral efficiency as a bridge to decouple the analogy precoding design from the digital precoding design, thus significantly reducing the computational complexity. …”
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