UAV-Based Multispectral Winter Wheat Growth Monitoring with Adaptive Weight Allocation by Lulu Zhang, Xiaowen Wang, Huanhuan Zhang, Bo Zhang, Jin Zhang, Xinkang Hu, Xintong Du, Jianrong Cai, Weidong Jia, Chundu Wu

“…Therefore, this study focuses on winter wheat and constructs a comprehensive growth monitoring index (CGIac), based on adaptive weight allocation of growth parameters’ contribution to yield, using data such as leaf area index (LAI), soil plant analysis development (SPAD) values, plant height (PH), biomass (BM), and plant water content (PWC). …”
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A multi-level, multi-scale comparison of LiDAR- and LANDSAT-based habitat selection models of Mexican spotted owls in a post-fire landscape by Ho Yi Wan, Michael A. Lommler, Samuel A. Cushman, Jamie S. Sanderlin, Joseph L. Ganey, Andrew J. Sánchez Meador, Paul Beier

“…Both models had low out-of-bag (OOB) error rates (0.037 for LANDSAT and 0.050 for LiDAR), indicating high classification reliability. …”
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Seven-parameter PEMFC model optimization using an battlefield optimization algorithm by Manish Kumar Singla, S.A. Muhammed Ali, Jyoti Gupta, Pradeep Jangir, Arpita, Ramesh Kumar, Reena Jangid, Mohammad Khishe

“…Its effectiveness as a method for precise PEMFC device analysis within electronic component simulators is demonstrated. …”
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Experimental Investigation of Liquid Pressure in a Straight Circular Cross-Section Pipeline by Vafaeva Khristina Maksudovna, Karpov Denis Fedorovich, Pavlov Mikhail Vasilyevich, Baloji Dharavath, Sharma Pratibha, Deorari Rajesh, Bhatnagar Sanjay, Kalpana Kasapogu, Gudainiyan Jitendra

“…An evaluation of the reliability of a widely accepted method for determining pipeline hydraulic resistance is conducted, based on a comparative analysis of theoretical data with the results of laboratory investigations. …”
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Improving Satellite Imagery Masking Using Multitask and Transfer Learning by Rangel Daroya, Luisa Vieira Lucchese, Travis Simmons, Punwath Prum, Tamlin Pavelsky, John Gardner, Colin J. Gleason, Subhransu Maji

“…When integrated with an SSC estimation system, our models result in a 30× speedup while reducing estimation error by 2.64 mg/L, allowing for global-scale analysis. …”
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Kinetics of the amino acid uptake tracer O-(2-[18F]fluoroethyl)-L-tyrosine (FET) in human brain by Korbinian Krieger, Thomas Pyka, Clemens Mingels, Hasan Sari, Albert Gjedde, Axel Rominger, Paul Cumming

“…While its high tumoral uptake reflects over-expression of the L-type amino acid transporter (LAT1), there is little knowledge about the kinetics of [18F]FET uptake in healthy brain tissue, owing to the limited PET data in healthy volunteers, and to the requirement of an arterial input function for compartmental analysis. …”
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Modelo hidrogeofísico de la cuenca sur de La Habana by González Espinosa Jacqueline, Valcarce Ortega Rosa M.

“…<span style="font-family: Arial; font-size: small;"><p class="MsoNormal" style="line-height: normal; margin: 0cm 0cm 0pt; mso-layout-grid-align: none;"><span style="font-family: ";Arial";,";sans-serif";; font-size: 12pt; mso-ansi-language: EN-US;" lang="EN-US">A hidrogeophysical model of the South Basin of La Habana is presented as the result of multivaried statistical processing applied to well logging and transmisivity data from pumping test Through combining Euclidian Group Analysis, correlation analysis and Uvarov relationships it was possible to separate the structured components of the different variables and: to define the correlation between the geophysical parameters of the well and the filtration velocity of the groundwater, these coefficients are above 0.8; to establish the relation between Dar-Zarrouk parameters (from electrical well logging) and transmisivity (from pumping tests). …”
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Patient Participation in Healthcare Safety Practices: A Scoping Review by Shabnam Ghasemyani, Kobra Movalled, Shafi Habibi, Rahim Khodayari Zarnaq

“…The research design adhered to the framework proposed by Arksey and O’Malley, and data analysis was conducted using a content analysis approach. …”
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Optimization the preparation of whey protein from pasteurized liquid milk using Response Surface Methodology and Artificial Neural Network Model by Md. Anwar Hossain, Kanika Mitra, Md. Munnaf Hossen, Shammi Akhter

“…The regression model's suitability was confirmed by the well-fitted analysis data. The present study showed that WPC could produce bio-functional hydrolysates with antioxidant and amino acid activity. …”
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The role of civil society organisations in initiating an anti-corruption policy in Serbia by Korać Srđan T., Bulatović Aleksandra

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Effcacy and toxicity of regorafenib compared to reintrodaction of chemotherapy in metastatic colon cancer: retrospective multicenter study by E. S. Kuzmina, M. Yu. Fedyanin, I. V. Reshetov, I. A. Pokataev, V. N. Galkin

“…Retrospective multicenter study collected data from 2 clinics of the Russian Federation. We considered overall survival (OS) as the main criterion of effectiveness. …”
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Fatigue behavior and impedance spectrum characteristics of Cr-modified stainless-steel rebars after corrosion by Chuntao Zhang, Weishao Chen, Hongjie Zhu, Renbin An

“…In addition, the accuracy and feasibility of a formula derived from the integration of Weibull's probability distribution model with Paris' law were validated through computational analysis. By comparing the experimental data with the calculated values of the model, the error is less than 10 %. …”
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Soil moisture product consistency for operational drought monitoring in Europe by J. Gaona, D. Bavera, G. Fioravanti, S. Hahn, P. Stradiotti, P. Filippucci, S. Camici, L. Ciabatta, H. Mosaffa, S. Puca, N. Roberto, L. Brocca

“…Then triplets of the active, passive and model-based products are applied triple collocation analysis (TCA) to assess their performance based on TCA metrics such as the correlation, error variance, sensitivity and signal-to-noise ratio.…”
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Forecasting Electric Vehicle Charging Demand in Smart Cities Using Hybrid Deep Learning of Regional Spatial Behaviours by Muhammed Cavus, Huseyin Ayan, Dilum Dissanayake, Anurag Sharma, Sanchari Deb, Margaret Bell

“…This study presents a novel predictive framework for estimating electric vehicle (EV) charging demand in smart cities, contributing to the advancement of data-driven infrastructure planning through behavioural and spatial data analysis. …”
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Optimized stress-strain modeling of eco-friendly fiber-reinforced concrete members using meta-heuristic algorithms by Sawsan Akram Hassan, Mahir M. Hason, Ammar N. Hanoon, Ali A. Abdulhameed

“…Unfortunately, there is a lack of data on how non-metallic fibers, such as polypropylene (PP), affect the properties of concrete, especially eco-friendly concrete. …”
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Test–Retest Reliability of Cervical Strength Testing Protocols with Handheld Dynamometer in Prepubertal and Pubertal Untrained Boys by Christos Batatolis, Konstantina Karatrantou, Theodora Vasilopoulou, Konstantina Chanou, Nikolaos Tsiakaras, Vassilis Gerodimos

“…<b>Results</b>: According to our data analysis, good absolute and relative reliability was denoted for prepubertal boys in all cervical movements (ICC = 0.81–0.90; SEM% = 5.82–8.62); conversely, pubertal boys denoted high relative and absolute reliability in all directions of movements (ICC = 0.90–0.96; SEM% = 3.8–5.5). …”
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Parallel boosting neural network with mutual information for day-ahead solar irradiance forecasting by Ubaid Ahmed, Anzar Mahmood, Ahsan Raza Khan, Levin Kuhlmann, Khurram Saleem Alimgeer, Sohail Razzaq, Imran Aziz, Amin Hammad

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<monospace>TWIRLD</monospace>: Transformer Generated Terahertz Waveform for Improved Radio Link Distance by Shuvam Chakraborty, Claire Parisi, Dola Saha, Ngwe Thawdar

“…<monospace>TWIRLD</monospace> performs a symbol remapping at baseband of OFDM signals, which increases average transmit power while also optimizing the bit error rate (BER). We provide theoretical analysis, statistical equivalence of <monospace>TWIRLD</monospace> to the ideal receiver, and comprehensive complexity and footprint estimates. …”
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Optimizing mRNA Vaccine Degradation Prediction via Penalized Dropout Approaches by Hwai Ing Soon, Azian Azamimi Abdullah, Hiromitsu Nishizaki, Latifah Munirah Kamarudin

“…A novel tetramer-label encoding approach (4-mer-lbA) was proposed, integrating biological relevance with data-driven analysis to enhance predictive accuracy. …”
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Enhancing Performance and Quality of Transmission Through Knowledge-Driven Machine Learning-Based FWM Mitigation by Sudha Sakthivel, Muhammad Mansoor Alam, Aznida Abu Bakar Sajak, Mazliham Mohd Su'ud, Mohammad Riyaz Belgaum

“…The accuracy of the proposed SMR-DWDM system is confirmed by validating it with various FWM mitigating factors monitored by Optical Spectrum Analyzer (OSA) and Bit Error Rate (BER) analyzers. Through parametric analysis and supervised multilevel regression, the system achieves high precision and accurately predicts QoT by over 80%, and improves 25% of the QoT enhancement compared with traditional methods, proving its effectiveness in managing fiber nonlinearities.…”
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