Evaluation of lactation models in pasture-based dairy ewes in Bosnia and Herzegovina by Dragica Šalamon, Vinko Batinić, Stanko Ivanković, Neven Antunac, Alen Džidić

“…Four lactation models (Wilmink, Cubic, Ali-Shaeffer and Guo-Swalve) were compared and selected based on the lowest coefficient of determination and root mean square error. The Guo-Swalve model described all of the measured variables most successfully. …”
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Evaluation of Unmanned Multicopters’ Performance Indicators for Pesticide and Agrochemical Application by V. P. Asovskiy, A. S. Kuzmenko, O. V. Khudolenko

“…(Results and discussion) The authors presented a general description and content of the developed methodology and means for assessing multicopter performance when applying working solutions that provide for an estimation error of up to 7 percent.The typical options for field plots and their treatment were specified. …”
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Optimization-Incorporated Deep Learning Strategy to Automate L3 Slice Detection and Abdominal Segmentation in Computed Tomography by Seungheon Chae, Seongwon Chae, Tae Geon Kang, Sung Jin Kim, Ahnryul Choi

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A Convolutional Neural Network-Weighted Cellular Automaton Model for the Fast Prediction of Urban Pluvial Flooding Processes by Jiarui Yang, Kai Liu, Ming Wang, Gang Zhao, Wei Wu, Qingrui Yue

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Physics‐Based Approach to Thermospheric Density Estimation Using CubeSat GPS Data by Shaylah M. Mutschler, Penina Axelrad, Eric K. Sutton, Dallas Masters

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Ultrasonic guided wave nondestructive testing of anchorage quality of rebar resin bolt based on EMD-PCA by Kesong Fan, Ao Yan, Shaowei Liu, Can Zhang, Youliang Feng, Mengxiong Fu, Deyin He

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Streamflow routing at high temporal resolution: A distributed hydrological model with dam and weir impacts by Yonggwan Lee, Jeehun Chung, Jiwan Lee, Wonjin Jang, Seongjoon Kim

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Current interdisciplinary approaches to the diagnosis of stress-related disorders: designing a study and developing the protocol for an experiment with the EyeLink 1000 Plus eye tr... by O.V. Zborovska, N.V. Rodina, O.E. Dorokhova, V.V. Kolesnichenko, V.F. Ambartsumian

“…Data Viewer software (SR Research) qre used for analysis of the gaze data recorded with the eye tracker. …”
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The Implementation and Application of a Saudi Voxel-Based Anthropomorphic Phantom in OpenMC for Radiological Imaging and Dosimetry by Ali A. A. Alghamdi

“…OpenMC results showed good agreement, with maximum deviations of −35.5% against ICRP-116 at 10 keV. Root mean square error (RMSE) comparisons confirmed reasonable alignment, with OpenMC displaying higher RMSEs relative to other methods due to expanded organ modeling and material definitions. …”
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Repeatability and agreement of multispectral refraction topography in school children before and after cycloplegia by Xiaoli Xu, Wansheng Zang, Anken Wang, Chenhao Yang

“…The retinal deviation value (RDV) was used to describe the average peripheral refractive error of the retina. In addition, objective refraction (OR) and subjective refraction (SR) measurements were also performed. …”
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A Study on Interpretable Electric Load Forecasting Model with Spatiotemporal Feature Fusion Based on Attention Mechanism by Shuaishuai Li, Weizhen Chen

“…The experimental results show that the determination coefficient R² of the model on the Australian electricity market data set reaches 0.9935, which is 84.6% and 59.8% higher than that of the LSTM and GRU models, respectively. The prediction error (RMSE = 105.5079) is 9.7% lower than that of TCN-LSTM model and 52.1% compared to the GNN (220.6049). …”
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Adaptive neuro-fuzzy inference systems for improved mastitis classification and diagnosis by Javad Shirani Shamsabadi, Saeid Ansari Mahyari, Mostafa Ghaderi-Zefrehei

“…The results showed that the GD-ANFIS model integrated with the Pearson method demonstrated superior performance compared to PSO-ANFIS and GA-ANFIS across key evaluation metrics such as accuracy and error rates. However, due to the interplay of multiple evaluation criteria and the closely clustered fitted values, determining a definitive best model almost remained challenging In addition to improving udder health, milk quality, and economic viability, this research can contribute to ongoing soft computing efforts to improve mastitis detection and management in dairy cattle. …”
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Introducing a novel 3D Chen-Rössler map for NTRU-based image encryption with OFDM transmission over a noisy channel by Alain F. Djomo, Lee Mariel H. Yepdia, Yannick P. K. Nkandeu, Yannick A. Abanda, Alain Tiedeu

“…It requires further research to overcome its weaknesses, notably the lack of security standards. …”
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On the Bayesian generalized extreme value mixture autoregressive model with adjusted SNR in non-standard actuarial data by Chrisandi R. Lande, Nur Iriawan, Dedy Dwi Prastyo

“…This research introduces the Generalized Extreme Value Mixture Autoregressive (GEVMAR) model as an innovative approach for examining non-standard actuarial datasets within general insurance. …”
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Advancing food security: Rice yield estimation framework using time-series satellite data & machine learning. by Varun Tiwari, Kelly Thorp, Mirela G Tulbure, Joshua Gray, Mohammad Kamruzzaman, Timothy J Krupnik, A Sankarasubramanian, Marcelo Ardon

“…The results revealed a mean percentage root mean square error (RMSE) of 8.07% and 12.96% when validation was conducted using reported district yields and crop-cut yield data, respectively. …”
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Assessment of operational non-time-critical Sentinel-6A Michael Freilich radio occultation data: insights into tropospheric GNSS signal cut-off strategies and processor improvement... by S. Paolella, A. Von Engeln, S. Padovan, R. Notarpietro, C. Marquardt, F. Sancho, V. Rivas Boscan, N. Morew, F. Martin Alemany

“…</p> <p>The validation of the EUMETSAT processed Sentinel-6A RO-NTC data against the European Centre for Medium-Range Weather Forecasts (ECMWF) short-range forecasts and comparisons with Metop-B/C and EUMETSAT-processed SPIRE occultations, highlights the reduction in random error and modifications in the tropospheric bias structure, a result of the enhancements in data processing techniques. …”
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Food Security–Renewable Energy Nexus: Innovations and Shocks in Saudi Arabia by Nourah A. Althani, Raga M. Elzaki, Fahad Alzahrani

“…We use the time series annual data covering the period (2000–2022) analyzed by applying the Vector Autoregressive (VAR) model system and its environment, Granger causality, the forecast-error variance decompositions (FEVD), and the impulse response functions (IRFs). …”
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A Comprehensive Data Description for LoRaWAN Path Loss Measurements in an Indoor Office Setting: Effects of Environmental Factors by Nahshon Obiri, Kristof van Laerhoven

“…This dataset offers a solid foundation for future research and development in indoor wireless communication.…”
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Addressing underestimated carbon monoxide emissions in Taiwan using CMAQ and impacts on local ozone concentration by Chieh-Sen Tsai, Ping-Chieh Huang, Hsin-Chih Lai, John C. Lin, Hui-Ming Hung

“…Emission inventories play a crucial role in understanding and managing air quality. This research centers on carbon monoxide (CO), a low-reactivity species with a lifetime of 2 months, acting as a tracer for local pollutants. …”
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Prognostic assessment of sarcopenia in patients with fractures: a systematic review and meta-analysis by Hejie Zheng, Tianhong Wang, Zhuoyang Li, Huimin Lu

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