Rapid Spectral Evolution of SGR 1935+2154 during Its 2022 Outburst by Chin-Ping Hu, Zorawar Wadiasingh, Wynn C. G. Ho, Matthew G. Baring, George A. Younes, Teruaki Enoto, Sebastien Guillot, Tolga Güver, Marlon L. Bause, Rachael Stewart, Alex Van Kooten, Chryssa Kouveliotou

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Characterizing the influence of varying functional traits from remotely sensed data on forest productivity acquired from selected NEON sites by Paige T. Williams, Valerie A. Thomas, Randolph H. Wynne, Karl F. Huemmrich, David J. Harding, K. Jon Ranson, Petya K. Campbell, Elizabeth M. Middleton

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Comparative study on Functional Machine learning and Statistical Methods in Disease detection and Weed Removal for Enhanced Agricultural Yield by Sudha D., Menaga D.

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Combining Open-Source Machine Learning and Publicly Available Aerial Data (NAIP and NEON) to Achieve High-Resolution High-Accuracy Remote Sensing of Grass–Shrub–Tree Mosaics by Brynn Noble, Zak Ratajczak

“…Our results demonstrate that free, high-resolution imagery and open-source tools can enable accurate, high-resolution, landscape-scale WPE monitoring. …”
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To Hunt or Patrol? Social Composition and Location Mediate Scent Marking Decisions of a Large Carnivore by K. Whitney Hansen, Neil R. Jordan, Megan J. Claase, J. W. McNutt, Alan Wilson, Christopher C. Wilmers

“…Specifically, we used resource selection function frameworks to determine how and whether conspecifics influenced habitat selection and behavior at multiple orders of selection. …”
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The Boltzmann distribution in the problem of rational choice by population of a patch under an imperfect information about its resources by Alexander N. Kirillov, Inna V. Danilova

“…The conditions under which the population, with the lack of information, select the “poor” patch, in sense of its resources, are obtained. …”
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Selective Removal of 2,4-Dichlorophenol by Surface Molecularly Imprinted Polymers Based on Amino-Functionalized FeO@SiO Composites by Jinyu Chu, Bing Wang, Yujun Song, Xiaohua Zou, Chunxiang Li, Yongsheng Yan

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Vehicle detection method based on multi-layer selective feature for UAV aerial images by Yinbao Ma, Yuyu Meng, Jiuyuan Huo

“…The approach also surpasses mainstream models such as YOLO11s with significantly fewer parameters, confirming its effectiveness and practical value in resource-constrained low-altitude UAV-based detection tasks.…”
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The Advanced Role of Carbon Quantum Dots in Nano-Food Science: Applications, Bibliographic Analysis, Safety Concerns, and Perspectives by Abdul Majid, Khurshid Ahmad, Liju Tan, Waqas Niaz, Wang Na, Li Huiru, Jiangtao Wang

“…This article discussed the sources, fabrication methods, advantages, and limitations of CQDs as a sensing for the detection of food contaminants. …”
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Website defense strategy selection method based on attack-defense game and Monte Carlo simulation by Hao WU, Jiulun FAN, Chengzhe LAI, Jianhua LIU

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Thermonuclear Superburst of MAXI J1752−457 Observed with NinjaSat and MAXI by Amira Aoyama, Teruaki Enoto, Takuya Takahashi, Sota Watanabe, Tomoshi Takeda, Wataru Iwakiri, Kaede Yamasaki, Satoko Iwata, Naoyuki Ota, Arata Jujo, Toru Tamagawa, Tatehiro Mihara, Chin-Ping Hu, Akira Dohi, Nobuya Nishimura, Motoko Serino, Motoki Nakajima, Takao Kitaguchi, Yo Kato, Nobuyuki Kawai, (NinjaSat collaboration)

“…An uncatalogued bright X-ray transient was detected with MAXI on 2024 November 9, named MAXI J1752−457. …”
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Unveiling the placental bacterial microbiota: implications for maternal and infant health by Zhuojun Xie, Zhongsheng Chen, Yang Chai, Wang Yao, Guangyu Ma

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Design of a Non-Destructive Seed Counting Instrument for Rapeseed Pods Based on Transmission Imaging by Shengyong Xu, Rongsheng Xu, Pan Ma, Zhenhao Huang, Shaodong Wang, Zhe Yang, Qingxi Liao

“…A transmission imaging device that mimics the human eye’s method of counting seeds was designed, incorporating an LED transmission light source, photoelectric switch-triggered imaging slot, an industrial camera, and an integrated packaging frame. …”
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Dual‐Function Ceramic Pigments for Energy‐Efficient and Secure Autonomous Vehicles by Ik Hoon Jeong, Yong‐Jun Seo, Jum Soo Hwang, Geun Hyeong Kim, Yeong Jae Kim, Gil Ju Lee

“…The results indicate that although the scattering is not strictly retro‐reflective, it strongly redirects the incident wave back toward its source, which is advantageous for LiDAR‐based object detection. …”
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Germplasm Selection and Comprehensive Evaluation of Maize Inbred Lines at Germination and Seedling Stage for Saline–Alkali Tolerance by Shaoqi Ren, Jian Tan, Shuna Zhou, Haixiao Sun, Honggang Li, Wenjin Li, Nuo Li, Jinfeng Wu, Xuejiao Ren, Jiabin Ci, Weiguang Yang

“…Therefore, in the preliminary screening of breeding germplasm resources, different reference indexes can be selected according to different periods and stress conditions. …”
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Models of efficiency of functioning in trading enterprises under conditions of economic growth by Ilyash Olha, Vasyltsiv Taras, Lupak Ruslan, Get’manskiy Volodymyr

“…The socio-economic situation in Ukraine suggests that there is insufficient research into the applicability of the model of economic development in forecasting the economic environment in which trade enterprises function. Researchers into issues relating to the efficiency of enterprises’ functioning focus their interest on comprehensively describing efficiency indicators and determining the factors influencing it. …”
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An Attomolar-Level Optical Device for Monitoring Receptor–Analyte Interactions Without Functionalization Steps: A Case Study of Cytokine Detection by Nunzio Cennamo, Francesco Arcadio, Chiara Marzano, Rosalba Pitruzzella, Mimimorena Seggio, Maria Pesavento, Stefano Toldo, Antonio Abbate, Luigi Zeni

“…The POF-based device was proven to be effective for detecting several interleukins at the attomolar level in a few minutes and without functionalization processes.…”
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EXPRESS ANALYSIS OF THE TRANSITION STATE COMPANY by V. Kryuchkov, A. Gatin

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Effects of tourism on seasonal movements and fine-scale habitat selection of African lions and spotted hyenas in Etosha National Park, Namibia by Jessica R. Patterson, Stéphanie Périquet-Pearce, Madeline H. Melton, Brennan PetersonWood, Dipanjan Naha, Claudine Cloete, James C. Beasley

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An effective method for anomaly detection in industrial Internet of Things using XGBoost and LSTM by Zhen Chen, ZhenWan Li, Jia Huang, ShengZheng Liu, HaiXia Long

“…We select the optimal threshold and loss function, which are part of our optimal model, by comparing metrics such as accuracy, precision, recall, False Alarm Rate (FAR), Area Under the Receiver Operating Characteristic Curve (AUC-ROC), and Area Under the Precision–Recall Curve (AUC-PR) values. …”
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