The Ecosystem Services Assessment of Wetlands based on the Classification of Hydrological-ecological Structures and Functions (Case study: Shadegan Wetland) by leila Rahimi, Bahram Malekmohammadi, Ahmad reza Yavari

“…Selecting Shadegan International Wetland as a case study in this research, the ecosystem services approach have been applied to ecological conditions assessment of the wetland based on biophysical structures, processes, functions and ecosystem services in a hydrological-ecological framework, which provides a valuable tool for optimal allocation of wetland resources and their effective management, as well as adopting rational and sustainable policies. 2-Materials and Methods The proposed framework can be considered as a hierarchical approach based on the characteristics of biophysical structure, functions and ecosystem services. …”
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Effects of riparian buffer width on activity and detection of common bats in the southern Appalachian Mountains by Joy M. O'Keefe, Susan C. Loeb, Patrick D. Gerard, J. Drew Lanham

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Cellulose-Based Colorimetric Test Strips for SARS-CoV-2 Antibody Detection by Mariana P. Sousa, Ana Cláudia Pereira, Bárbara Correia, Anália do Carmo, Ana Miguel Matos, Maria Teresa Cruz, Felismina T. C. Moreira

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Soil Moisture Time Series Using Gamma‐Ray Spectrometry Detection Representing a Scale of Tens‐of‐Meters by Mie Andreasen, Steven Van derVeeke, Han Limburg, Ronald Koomans, Majken Caroline Looms

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Automated Dead Chicken Detection in Poultry Farms Using Knowledge Distillation and Vision Transformers by Ridip Khanal, Wenqin Wu, Joonwhoan Lee

“…Then, a deep learning classifier, enhanced through knowledge distillation, confirms whether the detected stationary object is indeed a chicken. EfficientNet-B0 is employed as the teacher model, while DeiT-Tiny functions as the student model, balancing high accuracy and computational efficiency. …”
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Research on the detection of obstacles in front of unmanned vehicles in opencast mines based on binocular vision by Shunling RUAN, Huiguo ZHANG, Qinghua GU, Caiwu LU, Di LIU, Jing MAO

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A lightweight UAV target detection algorithm based on improved YOLOv8s model by Fubao Ma, Ran Zhang, Bowen Zhu, Xirui Yang

“…Furthermore, the original loss function is replaced with SIoU to enhance detection accuracy. …”
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MSSA: multi-stage semantic-aware neural network for binary code similarity detection by Bangrui Wan, Jianjun Zhou, Ying Wang, Feng Chen, Ying Qian

“…Binary code similarity detection (BCSD) aims to identify whether a pair of binary code snippets is similar, which is widely used for tasks such as malware analysis, patch analysis, and clone detection. …”
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Research on underwater disease target detection method of inland waterway based on deep learning by Tao Yu, Yu Xie, Jinsong Luo, Wei Zhu, Jie Liu

“…Abstract Aiming at the problems of low detection accuracy and poor generalization ability of underwater disease targets in inland waterways, an underwater disease target detection algorithm for inland waterways based on improved YOLOv5 is designed, which is denoted as YOLOv5-GBCE. …”
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Enhancing Drone Detection via Transformer Neural Network and Positive–Negative Momentum Optimizers by Pavel Lyakhov, Denis Butusov, Vadim Pismennyy, Ruslan Abdulkadirov, Nikolay Nagornov, Valerii Ostrovskii, Diana Kalita

“…The developed algorithms for training NN architectures improved the accuracy of drone detection by achieving the global extremum of the loss function in fewer epochs using positive–negative pulse-based optimization algorithms. …”
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Lightweight and Accurate YOLOv7-Based Ensembles With Knowledge Distillation for Urinary Sediment Detection by Keita Sasaki, Hiroki Nishikawa, Ittetsu Taniguchi, Takao Onoye

“…Urine sediment analysis plays an important role in evaluating kidney function. In addition to improving detection accuracy, reducing model size is also a key challenge, especially when considering deployment on medical devices where computational resources are limited. …”
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Sex‐Specific Ultraviolet Radiation Tolerance Across Drosophila by James E. Titus‐McQuillan, Brandon A. Turner, Rebekah L. Rogers

“…Adaptation and genetic innovation arise in the genome from a variety of sources. Functional genomics requires both genetic discoveries and empirical testing to observe adaptation between lineages. …”
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Classification of SERS spectra for agrochemical detection using a neural network with engineered features by Mateo Frausto-Avila, Monserrat Ochoa-Elias, Jose Pablo Manriquez-Amavizca, María del Carmen González-López, Gonzalo Ramírez-García, Mario Alan Quiroz-Juárez

“…Surface-Enhanced Raman Spectroscopy (SERS) substrates offer a promising solution for the sensitive and specific detection of agrochemicals, enabling timely interventions to mitigate their harmful effects on humans and ecosystems. …”
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STAR-YOLO: A High-Accuracy and Ultra-Lightweight Method for Brain Tumor Detection by Liyan Sun, Linxuan Zheng, Zhiguo Xiao, Yi Xin, Linqing Jiang

“…STAR-YOLO accomplishes a lightweight design while guaranteeing high detection accuracy, prominently demonstrating its immense potential in the diagnosis of clinical brain tumors, particularly in circumstances with constrained computing resources.…”
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A Lightweight Network for UAV Multi-Scale Feature Fusion-Based Object Detection by Sheng Deng, Yaping Wan

“…To tackle the issues of small target sizes, missed detections, and false alarms in aerial drone imagery, alongside the constraints posed by limited hardware resources during model deployment, a streamlined object detection approach is proposed to enhance the performance of YOLOv8s. …”
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Structural and functional characterization of a porcine intestinal microbial ecosystem developed in vitro by LinShu Liu, Jenni A. Firrman, Adrienne B. Narrowe, Karley K. Mahalak, Johanna M. S. Lemons, Massimo Marzorati, Cindy Duysburgh, Chloë Rotsaert, Tom Van de Wiele

“…Environmental selection and bacterial functional redundancy were considered the two key elements in microbial compositional shifts and functional preservation.…”
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National occupational safety and health systems: Exploring the underlying networks for future sustainable development by Gaia Vitrano, Guido J.L. Micheli

“…As a result, a range of fundamental functions and recurring bodies, covering – to different extents – the previously identified functions, constitute the framework, which are the most transversal functions for the selected countries. …”
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High-throughput method for improving rice AGB estimation based on UAV multi-source remote sensing image feature fusion and ensemble learning by Jinpeng Li, Jinpeng Li, Jinxuan Li, Jinxuan Li, Dongxue Zhao, Dongxue Zhao, Qiang Cao, Qiang Cao, Fenghua Yu, Fenghua Yu, Fenghua Yu, Yingli Cao, Yingli Cao, Yingli Cao, Shuai Feng, Shuai Feng, Shuai Feng, Tongyu Xu, Tongyu Xu, Tongyu Xu

“…The relationships between AGB and the selected features were then analyzed using multiple fitting functions. …”
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Patterns and physical principles of traditional houses in Kashan by Farzad Farnad, Hadiseh Kamran Kasmaei, Mehdi Khakzand, Gholamhossein Memarian

“…The case study consists of eight houses that were randomly selected from the collection of houses of the Kashan Cultural Heritage Organization. …”
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Testing the functionality and contact error of a GPS‐based wildlife tracking network by Melanie J. Davis, Sravan Thokala, Xinyu Xing, N. Thompson Hobbs, Michael W. Miller, Richard Han, Shivakant Mishra

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