Where there’s smoke there is fire: Türkiye and the international illegal wildlife trade by Özgün Emre Can

“…Trafficked wild animals and wildlife products are moving between source and demand regions in the Americas, Africa, Asia and Europe. …”
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Baseline levels of microplastics in agricultural soils obscure the effects of additional microplastics from recycled fertilizers by Collin J. Weber, Dominika Kundel, Andreas Fliessbach, Else K. Bünemann, Moritz Bigalke

“…Whilst it was observed from the fluxes that digestate can be a substantial source of microplastics to soils, the comparatively short time of application and the high background at our investigated sites leads to a obscured effect where digestate inputs serve a limited function.…”
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Faeces, Feathers and Flight: Understanding of Escape Behaviour in Incubating Eurasian Woodcocks (Scolopax rusticola) by Martin Sládeček, Kateřina Brynychová, Lucie Nutilová, Miroslav E. Šálek

“…In this study, we investigate this behaviour in incubating female Eurasian woodcocks (Scolopax rusticola) using a large data set of 399 photographed nests sourced from various open‐source internet platforms. …”
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Possibilities for computer-based assessment the quality indicators of Kashkaval cheese using image processing by Balabanov Alexandar, Andreeva Hristina, Danev Angel, Bosakova-Ardenska Atanaska, Ivanov Galin, Balabanova Tatyana

“…The current study presents two open-source software products – ImageJ and Scilab and their functionalities that are applied for image analysis of three samples of Kashkaval cheese, which are produced using different sodium chloride content. …”
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Impact of UAV-Derived RTK/PPK Products on Geometric Correction of VHR Satellite Imagery by Muhammed Enes Atik, Mehmet Arkali, Saziye Ozge Atik

“…Satellite imagery is a widely used source of spatial information in many applications, such as land use/land cover, object detection, agricultural monitoring, and urban area monitoring. …”
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Digital Twins by Physical Education Teaching Practice in Visual Sensing Training System by Xinran Liu, Ji Jiang

“…Moreover, 25 participants are invited to carry out the exercise detection and analysis experiment, and the joint monitoring of their daily movements is tested. …”
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Reconstruction of the object inhomogeneity parameters from near-field measurements in microwave tomography problem using neural networks by A.V. Medvedev, M.Yu. Medvedik

“…The field is induced by a point source located outside the body. Materials and methods. …”

Big data in visual field testing for glaucoma by Alex T. Pham, Annabelle A. Pan, Jithin Yohannan

“…In this study, we review the use of big data for evaluating the reliability of VF tests, gaining insights into real-world clinical practices and outcomes, understanding new disease associations and risk factors, characterizing the patterns of VF loss, defining the structure–function relationship of glaucoma, enhancing early diagnosis or earlier detection of progression, informing clinical decisions, and improving clinical trials. …”
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Obstacle shape determination by mobile robot sensor system using GP2Y0A (Sharp) type IR distance sensors by V. P. Andreev

“…When organizing a mobile robot (MR) movement in a non-deterministic environment, the SLAM problem arises, which includes the detection of an obstacle presence by the MR sensor system, the distance to the obstacle and its shape. …”
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Dietary compositions and their seasonal shifts in Japanese resident birds, estimated from the analysis of volunteer monitoring data. by Tetsuro Yoshikawa, Yutaka Osada

“…Determining the composition of a bird's diet and its seasonal shifts are fundamental for understanding the ecology and ecological functions of a species. Various methods have been used to estimate the dietary compositions of birds, which have their own advantages and disadvantages. …”
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Machine Learning-Driven GLCM Analysis of Structural MRI for Alzheimer’s Disease Diagnosis by Maria João Oliveira, Pedro Ribeiro, Pedro Miguel Rodrigues

“…<i>MCI</i>, the proposed model outperformed state-of-the-art imaging source studies by 0.1% and non-imaging source studies by 4.6%. …”
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Spectral domain optical coherence tomography: a better OCT imaging strategy by Zahid Yaqoob, Jigang Wu, Changhuei Yang

“…There are two approaches to SDOCT—one that uses a broadband source and a spectrometer to measure the interference pattern as a function of wavelength and the other that utilizes a narrowband tunable laser that is swept linearly in k ∼ 1/λ space during spectral fringe data acquisition. …”
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Sunlight Noise Mitigation in FMCW LiDAR Using FADOF by Longfei Yin, Wei Tang, Ziwei Geng, Haodi Zhan, Lei Chen, Dasheng Qian, Guohua Wu, Bin Luo

“…Additionally, the system achieves a detection range of at least 17 meters under direct sunlight conditions. …”
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Torsion Pendulum Apparatus for Ground Testing of Space Inertial Sensor by Shaoxin Wang, Zuolei Wang, Dongxu Liu, Peng Dong, Jian Min, Ziren Luo, Keqi Qi, Jungang Lei

“…The precise movement of the test mass along a geodesic is crucial for gravitational wave detection in space. To maintain this motion, the core payload-inertial sensor incorporates multiple functional units designed to mitigate various sources of stray force noise affecting the test mass. …”
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Research on the Non-Uniform Temperature Field Distribution of Q355B Steel for Grain Storage under Fire Conditions by Min Yu, Zhen Cheng, Rui-Bin Gou, Nian Wang

“…The peak temperature Tmax and the heating rate vr at the fire source points of each test plate increased linearly with the increase of heat input Q at the fire source. …”
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Optimal band selection and transfer in drone-based hyperspectral images for plant-level vegetable crops identification using statistical-swarm intelligence (SSI) hybrid algorithms by Anagha S. Sarma, Rama Rao Nidamanuri

“…Hyperspectral imagery from drones are excellent sources of high-resolution plant-level data that helps in efficient crop identification for smart agriculture practices. …”
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Simultaneous removal and optical determination of mercury ions by constructing fluorescent recombinant T. thermophila SB210 strains by Shu-Hui Zhao, Kai-Kang Hu, Jie Xiong, Jia-Wei Tu, Wei Miao

“…Removing and monitoring Hg2+ ions in the pollution sources based on microorganisms have the advantages of low cost and convenience. …”
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Investigation of the Application of Machine Learning Algorithms in Credit Risk Assessment of Medium and Micro Enterprises by Yujie Zhao

“…Thus, this proposed method achieves 14.65% high-risk detection with 5.56% financial revisions for the industry considered by the data source.…”
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Metaproteomics in the One Health framework for unraveling microbial effectors in microbiomes by Robert Heyer, Maximilian Wolf, Dirk Benndorf, Sergio Uzzau, Jana Seifert, Lucia Grenga, Martin Pabst, Heike Schmitt, Bart Mesuere, Tim Van Den Bossche, Sven-Bastiaan Haange, Nico Jehmlich, Mariagrazia Di Luca, Manuel Ferrer, Sergio Serrano-Villar, Jean Armengaud, Helge B. Bode, Patrick Hellwig, Catherine Robbe Masselot, Renaud Léonard, Paul Wilmes

“…Metaproteomics offers a novel methodological framework as it provides insights into microbial dynamics by quantifying microbial biomass composition, metabolic functions, and detecting effectors like viruses, antimicrobial resistance proteins, and non-ribosomal peptides. …”
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A survey on the applications of transfer learning to enhance the performance of large language models in healthcare systems by Anmol Rahujo, Daniya Atif, Syed Azeem Inam, Abdullah Ayub Khan, Sajid Ullah

“…This research analyzes different transfer learning methods, including inductive, transductive, and unsupervised techniques, while demonstrating their effectiveness in detecting COVID-19 from chest X-rays and multi-source disease evaluation. …”
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