DETECTION OF THE SPECIFICITY OF PUBLIC REPRODUCTION OF THE AMUR REGION WITH THE HELP OF THE COBB – DOUGLAS PRODUCTION FUNCTION by S. G. Serikov

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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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Testing source elevation versus genotype as predictors of sugar pine performance in a post‐fire restoration planting by Emily V. Moran, Rainbow DeSilva, Courtney Canning, Jessica W. Wright

“…Abstract Climate change is motivating a reassessment of how seeds are selected for reforestation, as rapid environmental change can lead to local maladaptation in trees. …”
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Aptamer-Functionalized Gold Nanoparticle Assay for Rapid Visual Detection of Norovirus in Stool Samples by Maytawan Thanunchai, Sirikwan Sangboonruang, Natthawat Semakul, Kattareeya Kumthip, Niwat Maneekarn, Khajornsak Tragoolpua

“…Detection relies on MgCl₂-induced changes in the color and absorbance of these aptamer-functionalized AuNPs. …”
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Robotic arm target detection algorithm combined with deep learning by ZHANG Lei, ZHANG Wang, YUAN Yuan

“…Existing target detection algorithms deployed on robotic arms would occupy a large amount of system resources, have poor real-time detection performance, and have a large number of model parameters. …”
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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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DIAMOND2GO: rapid Gene Ontology assignment and enrichment detection for functional genomics by Christopher Golden, David J. Studholme, Rhys A. Farrer

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Detection of Sensitive Malicious Android Functionalities Using Inter-Component Control-Flow Analysis by Rati Bhan, Parvez Faruki, Rajendra Pamula

“…The paper proposes a robust inter-component communication (ICC) based detection approach to identify such hidden functionality exploited by adversaries. …”
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A statistical approach to assess interspecific consumptive competition and functional redundancy in ephemeral resource uses using camera traps by Yoshihiro Nakashima, Akane Hashizume, Akane Kanda

“…We extended time‐to‐detection occupancy modeling to quantify interspecific consumptive competition and redundancy of ecosystem functions through consumption between two species, while accounting for observation censoring. …”
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Outlier Detection and Explanation Method Based on FOLOF Algorithm by Lei Bai, Jiasheng Wang, Yu Zhou

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An Improved YOLOv9s Algorithm for Underwater Object Detection by Shize Zhou, Long Wang, Zhuoqun Chen, Hao Zheng, Zhihui Lin, Li He

“…However, the complex marine environment, poor resolution, color distortion in underwater optical imaging, and limited computational resources all affect the accuracy and efficiency of underwater object detection. …”
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Efficient Small Object Detection You Only Look Once: A Small Object Detection Algorithm for Aerial Images by Jie Luo, Zhicheng Liu, Yibo Wang, Ao Tang, Huahong Zuo, Ping Han

“…Moreover, existing object detection algorithms have a large number of parameters, posing a challenge for deployment on drones with limited hardware resources. …”
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SHIVA-CMB: a deep-learning-based robust cerebral microbleed segmentation tool trained on multi-source T2*GRE- and susceptibility-weighted MRI by Ami Tsuchida, Martin Goubet, Philippe Boutinaud, Iana Astafeva, Victor Nozais, Pierre-Yves Hervé, Thomas Tourdias, Stéphanie Debette, Marc Joliot

“…An increasing number of automated CMB detection methods being proposed are based on supervised deep learning (DL). …”
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Source Process Estimation for the 2024 Mw 7.1 Hyuganada, Japan, Earthquake and Forward Modeling Using N‐net Ocean Bottom Seismometer Data by R. Shibata, H. Kubo, W. Suzuki, S. Aoi, H. Sekiguchi

“…The N‐net seafloor seismograms of the mainshock with a frequency of ∼0.05 Hz recorded east of the source area were reproduced for several stations using the empirical Green's function approach based on the estimated source process data.…”
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STATISTICAL DATA AND ANALYSIS OF LITERATURE SOURCES ON PATHOPHYSIOLOGICAL MECHANISMS OF THE CROSSTALK BETWEEN ACUTE KIDNEY AND LIVER INJURY IN PRETERM NEWBORNS DURING THE EARLY NEO... by О. Оболонська, Л. Вакуленко

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Dynamic activation and enhanced image contour features for object detection by Jun Wu, Jiahui Zhu, Xin Tong, Tianliang Zhu, Tianyi Li, Chunzhi Wang

“…At this stage mobile devices often have limited storage resources to deploy large object detection networks and need to meet real-time requirements. …”
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Dynamic programming in applied tasks which are allowing to reduce the options selection by D. A. Karpov, V. I. Struchenkov

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Investigating the impact of the regularization parameter on EEG resting-state source reconstruction and functional connectivity using real and simulated data by F. Leone, A. Caporali, A. Pascarella, C. Perciballi, O. Maddaluno, A. Basti, P. Belardinelli, L. Marzetti, G. Di Lorenzo, V. Betti

“…Accurate EEG source localization is crucial for mapping resting-state network dynamics and it plays a key role in estimating source-level functional connectivity. …”
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Evaluating and Diagnosing Urban Function and Perceived Quality Based on Multi-Source Data and Deep Learning Using Dalian as an Example by Yumeng Meng, Mei Lyu, Dong Sun, Jiaxuan Shi, Hiroatsu Fukuda

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Functional products fortified with probiotic LAB isolated from Egyptian dairy sources showed hypolipidemic effects in Albino rats. by Amira M G Darwish, Marwa G Allam, Enaam S Shokery, Eman H E Ayad

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