Water Vapor Transport in Dry Sand During Evaporation Monitored by Quasi‐Distributed Fiber‐Optic Sensing Technology by Junyi Guo, Mengya Sun, Chengcheng Zhang, Werner Lienhart, Hongtao Jiang, Bin Shi

“…Results indicated that soil temperature reached a minimum when relative humidity dropped from 100%, confirming that the sensors successfully captured the evaporating front and its dynamic migration within the soil. …”
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Drip irrigation in coffee crop under different planting densities: Growth and yield in southeastern Brazil by Gleice A. de Assis, Myriane S. Scalco, Rubens J. Guimarães, Alberto Colombo, Anderson W. Dominghetti, Nagla M. S. de Matos

“…The treatments consisted of four irrigation regimes: climatologic water balance, irrigation when the soil water tension reached values close to 20 and 60 kPa; and a control that was not irrigated. …”
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Virtual sensing-enabled digital twin framework for real-time monitoring of nuclear systems leveraging deep neural operators by Raisa Hossain, Farid Ahmed, Kazuma Kobayashi, Seid Koric, Diab Abueidda, Syed Bahauddin Alam

“…Traditional physical sensor systems face limitations, particularly in measuring critical parameters in hard-to-reach or harsh environments, often resulting in incomplete data coverage. …”
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Hilbert Convex Similarity for Highly Secure Random Distribution of Patient Privacy Steganography by Hussein K. Alzubaidy, Dhiah Al-Shammary, Mohammed Hamzah Alsalihi, Ayman Ibaida, Khandakar Ahmed

“…Technically, distributing the secret text in a random way on the cover image is the core security function of the proposed model. In order to evaluate the performance of the proposed solution, three quality metrics: Peak signal to noise ratio (PSNR), Mean Square Error (MSE), percentage residual difference (PRD) and Structural Similarity Index measure (SSIM) were computed and compared on ten MRI images. …”
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multi-objective mathematical model for optimizing the collection and recycling of urban waste under conditions of uncertainty(The subject of study : Karaj city) by Mohsen Bijanpoor, Reza Ehtesham Rasi, Davood Gharakhany

“…Due to the uncertainty in the parameters of the problem, the two-stage stochastic programming method has been used to model the problem. The objective functions include an economic function to minimize investment costs and a social objective function to maximize the amount of recycling. …”
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Neural Network-Based Analysis of Forest Fire Aftermath in Class-Imbalanced Remote Sensing Earth Image Classification by V. Hnatushenko, V. Hnatushenko, V. Hnatushenko, D. Soldatenko

“…<br />The results demonstrate that the proposed CNN has a higher classification accuracy than the ones discussed in the paper: the classification accuracy on the test dataset reached 96.7% with intersection-over-union values of up to 89.7%. …”
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WISP: Workframe for Interferogram Signal Phase-Unwrapping by Timofey F. Khirianov, Aleksandra I. Khirianova, Egor V. Parkevich, Ilya Makarov

“…Iterations continue until the difference between the reconstructed and experimental phase distributions reaches an asymptotic minimum. A key contribution is the proposed loss function for isophase fitting, which directly optimizes curve quality and enhances reconstruction accuracy. …”
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Design of a Smart Street Light-Integrated Electromec-hanical System for Willow Catkin Control by Zhou Ting, Yuan Ye, Yin Xue, Liu Yuqian, Sun Junxiu, Qi Fenghua

“…By integrating electrostatic spinning technology (electric field strength of 15 kV/m), photovoltaic power generation (conversion efficiency ≥21%) and bionic water-collecting device (water-collecting efficiency of 85%), an urban infrastructure with environmental purification function is constructed. The experimental data confirmed that under the working conditions of 30%-90% relative humidity and 0-15 m/s wind speed, the system’s willow capture efficiency reaches (85±3)% (n=5), of which (80±2.1)% is still maintained at 90% humidity (p<0.01, ANOVA), and the comprehensive energy efficiency is improved by 42.7% compared with that of the traditional street light (CI: 39.5%-45.8%). …”
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CEREBRAL CIRCULATION AND COGNITIVE STATUS OF CORONARY HEART DISEASE PATIENTS AFTER BYPASS SURGERY by М. М. Petrova, S. V. Prokopenko, О. V. Eremina, Е. Yu. Mozheiko, D.  S. Kaskaeva, М. I. Gankin

“…Neuroprotection by citicoline can be regarded as a method for improvement of cognitive functioning after such harming influences as on-pump surgery, and therefore to reach higher everyday functioning abilities after coronary bypass.…”
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A multisensor high-temperature signaling framework for triggering daytime thermomorphogenesis in Arabidopsis by De Fan, Wei Hu, Nan Xu, Ethan R. Seto, John Clark Lagarias, Xuemei Chen, Meng Chen

“…Here, we show that phyB plays a substantial role in daytime thermosensing in Arabidopsis, and its thermosensing function becomes negligible only when the red light intensity reaches 50 μmol m−2 s−1. …”
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Unveiling the impact of the SMARTCLAP project on habilitation by Matthew Bonello, Nathalie Buhagiar, Philip Farrugia, Joseph Mercieca

“…The report also outlines future work and further funding for the sustainability of the project and to reach other individuals who have upper limb limitations. …”
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Bias-Reduced Localization for Drone Swarm Based on Sensor Selection by Bo Wu, Bazhong Shen, Yonggan Zhang, Li Yang, Zhiguo Wang

“…Based on this rough information, the objective function of node optimization is constructed and solved using the randomized semidefinite program (SDP) algorithm proposed in this paper to screen out the sensor nodes with optimal localization performance. …”
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Advancing the design of gold nanomaterials with machine-learned potentials by Kithma Sajini, Caroline Desgranges, Jerome Delhommelle

“…The dual organic-metallic nature of ligand-protected Au NCs complicates the experimental characterization of their structure. Density Functional Theory (DFT) calculations are highly accurate but have a high computational cost, making such calculations on large NPs and over long simulation times beyond our reach. …”
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Smart prediction-planning algorithm for connected and autonomous vehicle based on social value orientation by Donglei Rong, Yuefeng Wu, Wenjun Du, Chengcheng Yang, Sheng Jin, Min Xu, Fujian Wang

“…The results showed that integrating SVO and consistency functions can help ensure that CAVs drive under a more stable risk potential energy field. …”
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Excitation-Dependent Fluorescence Quantum Yield for Freshwater Chromophoric Dissolved Organic Matter from Northern Russian Lakes by Svetlana Patsaeva, Daria Khundzhua, Oleg A. Trubetskoj, Olga E. Trubetskaya

“…In addition, these data are very useful for understanding the CDOM function in the environment.…”
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A Lost Ottoman Square in a Lost Harbour of Istanbul: Kontaskalion / Kadirga Harbour / Kadirga Square by Selman Çelik, Nuran Kara Pilehvarian

“…Kadirga Square, its functions and its historical process have been examined by taking the notion of square into the centre. …”
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Mined Block Withholding and Imposed Fork by Using Mining Pool Alliance Strategic&#x2014;A Case Study in Bitcoin System by Yean-Fu Wen, Ming-Fang Chen

“…The effects of these strategies on the winning rate reached 21.77% when the top three mining pools were constructed as alliances with withholding and imposing fork strategies. …”
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Maturity Classification and Quality Determination of Cherry Using VNIR Hyperspectral Images and Comprehensive Chemometrics by Yuzhen Wei, Siyi Yao, Feiyue Wu, Qiangguo Yu

“…After the chemometrics related to hyperspectral imaging had been examined, the least square-support vector regression models based on the feature bands, which were selected by the shuffled frog leaping algorithm, showed the best performance, and the determination coefficients of prediction (R2P) for cherry sugar content and acidity reached 0.976 and 0.906, respectively. Based on the spectral principal components, three classifiers were built to classify the maturity level: support vector machine, backpropagation neural network, and radial basis function neural network. …”
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Creative Corporate Communication in Social Media – How to Effectively Build Relations and Receive High Quality Resumes From Younger Generations by Barbara Drapała

“…This is probably due to the fact that the younger generations entered the labour market at different economic times, were brought up in a different spirit and differently function in the world.…”
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Drone State Estimation Based on Frame-to-Frame Template Matching with Optimal Windows by Seokwon Yeom

“…A mini drone starts from a hovering state, reaches top speed, and then continues to fly at a nearly constant speed. …”
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