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Showing 161 - 180 results of 1,810 for search '((( resource OR resourcess) detection functions ) OR ( source detection function ))', query time: 0.27s Refine Results
  1. 161

    General Framework for Domain-Specialization of Stance Detection by Brodie Mather, Bonnie J Dorr, Owen Rambow, Tomek Strzalkowski

    Published 2021-04-01
    “…The notions purpose and function serve as natural constraints on the choice of belief categories during resource building which, in turn, constrains stance detection. …”
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    Article
  2. 162

    Adult limbal neurosphere cells: a potential autologous cell resource for retinal cell generation. by Xiaoli Chen, Heather Thomson, Jessica Cooke, Jennifer Scott, Parwez Hossain, Andrew Lotery

    Published 2014-01-01
    “…Following culture with developing mouse retinal cells, we detected retinal progenitor cell markers, mature retinal/neuronal markers and sensory cilia in the majority of mouse LNS experiments. …”
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  3. 163

    Estimating Finite Source Effects in Microlensing Events due to Free-Floating Planets with the Euclid Survey by Lindita Hamolli, Mimoza Hafizi, Francesco De Paolis, Achille A. Nucita

    Published 2015-01-01
    “…We find a significant efficiency for finite source effect detection that turns out to be between 20% and 40% for a FFP power law mass function index in the range [0.9, 1.6]. …”
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  4. 164

    Forest age estimation using UAV-LiDAR and Sentinel-2 data with machine learning algorithms- a case study of Masson pine (Pinus massoniana) by Jinjin Chen, Xuejian Li, Zihao Huang, Jie Xuan, Chao Chen, Mengchen Hu, Cheng Tan, Yongxia Zhou, Yinyin Zhao, Jiacong Yu, Lei Huang, Meixuan Song, Huaqiang Du

    Published 2025-05-01
    “…Therefore, monitoring forest age is a crucial element of forest resource surveys. With the increased availability of high-quality open-access satellite data and advancements in Unmanned Aerial Vehicle Light Detection and Ranging (UAV-LiDAR) technology, remote sensing has emerged as an essential method for acquiring accurate forest age information. …”
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  5. 165

    A Study of CO Emission Sources and Their Impacts on the  Respiratory Systems of  Patients in Al-Muthanna Governorate by Farah Ali, Ali Abdulhamza Al -Fanharawi

    Published 2025-06-01
    “…Control areas had no detectable CO (0.00 ppm). Health assessments included blood (WBC, Lym, Neu, Eos), lung function (FVC, FEV, PEF), and immunological markers (IgE).  …”
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  6. 166

    Cellular and physiological functions of SGR family in gravitropic response in higher plants by Yuhan Cho, Yujeong Kim, Hyebi Lee, Sundong Kim, Jaehee Kang, Ulhas S. Kadam, Soon Ju Park, Woo Sik Chung, Jong Chan Hong

    Published 2025-01-01
    “…It sets optimum posture and develops plant architecture to efficiently use resources like water, nutrients, CO2, and gaseous exchange. …”
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  7. 167
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  9. 169

    Effect of Alkali Source on Crystal Regulation and Ethanol Gas Sensing Properties of Nano-ZnO by Yinying Liao, Lu Qiu, Yunfei Ouyang, Dayang Feng, Shiyi Huang, Zhaoyang Zhang, Xinyao Xie, Junwei Ke, Tianhao Liu, Xiangxiang Chen, Hongshan Bi, Weiran Zuo

    Published 2024-11-01
    “…To elucidate the underlying mechanisms, density functional theory (DFT) calculations combined with electron depletion layer theory were applied to assess charge transfer processes and identify the most sensitive ZnO crystal planes for ethanol detection. …”
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  10. 170

    Characteristics, Distribution, and Source Analysis of the Main Persistent Toxic Substances in Karst Groundwater at Jinan in North China by Hao Shang, Xiaofan Qi, Mengnan Zhang, Hu Li, Gang Li, Lizhi Yang

    Published 2020-01-01
    “…Karst water in northern China is an important water source for economic and social development in its distribution area and water source for ecological function guarantee. …”
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  11. 171
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  14. 174

    Surgical Indications for Proximal Limb Amputations in a Resource-limited Setting: A Single Institution’s Experience by Ja’Neil Grace-Marie Humphrey, Joseph Nthumba, Puja Jagasia, Peter M. Nthumba

    Published 2025-01-01
    “…In particular, proximal limb amputations (PLAs) impose enormous functional and social challenges on patients and their families, as they leave minimal options for functional prostheses, especially in the low-resource settings. …”
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  15. 175

    Hardcoded vulnerability detection approach for IoT device firmware by Chao MU, Xin WANG, Ming YANG, Heng ZHANG, Zhenya CHEN, Xiaoming WU

    Published 2022-10-01
    “…With the popularization of IoT devices, more and more valuable data is generated.Analyzing and mining big data based on IoT devices has become a hot topic in the academic and industrial circles in recent years.However, due to the lack of necessary detection and protection methods, many IoT devices have serious information security risks.In particular, device hard-coded information is closely related to system encryption and decryption, identity authentication and other functions, which can provide confidentiality protection for core data.Once this information is exploited by malicious attackers, serious consequences such as sensitive information leakage, backdoor attacks, and unauthorized logins will occur.In response to this problem, a multi-type character recognition and positioning scheme was designed and a hard-coded vulnerability detection method in executable files was proposed based on the study of the characteristics of hard-coded vulnerabilities in IoT devices.The proposed method extracted the firmware of IoT devices and filtered all executable files as the source to be analyzed.Then, a solution to identify and locate three types of hard-coded characters was provided.Further, the reachability of the function, where the hard-coded character was located, was analyzed according to the function call relationship.Meanwhile, the instruction heterogeneity was mitigated by an intermediate representation (IR) model.The character and parameter hard-coded values was obtained through a data flow analysis approach.A symbolic execution method was devised to determine the trigger conditions of the hard-coded vulnerabilities, and then the vulnerability detection result was output.On the one hand, the proposed method introduced the method of symbolic execution based on the use of the intermediate representation model, which eliminated the dependency of instruction architecture and reduces the false positive rate of vulnerabilities; On the other hand, this method can integrate characters, files, and cryptographic implementation to realize the different characteristics of three types of hard-coded characters, which increased the coverage of vulnerability detection and improves the versatility of the detection method.The experimental results show that the proposed method can effectively detect three types of hard-coded vulnerabilities of characters, files and cryptographic implementation in various IoT devices, and has good detection accuracy, which can provide certain guidance for the deployment of subsequent security protection technologies.…”
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  16. 176
  17. 177

    Electrochemical microfluidic biosensor for the detection of CD4+ T cells by Katarzyna Białas, Hui Min Tay, Chayakorn Petchakup, Razieh Salimian, Stephen G. Ward, Mark A. Lindsay, Han Wei Hou, Pedro Estrela

    Published 2025-04-01
    “…This work presents an innovative electrochemical microfluidic device that, with further development, could be applied for HIV management in low resource settings. The setup integrates an electrochemical sensor within a PDMS microfluidic structure, allowing for on-chip electrode functionalization and cell detection. …”
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  18. 178

    Deep learning-enhanced signal detection for communication systems. by Yang Liu, Peng Liu, Yu Shi, Xue Hao

    Published 2025-01-01
    “…In resource consumption assessment, the detection speed of this model reached 120 signals/s, with an average latency of 50 ms. …”
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  19. 179
  20. 180

    Infrared Satellite Detection Limits for Monitoring Atmospheric Ammonia by Mark W. Shephard, Shailesh K. Kharol, Enrico Dammers, Christopher E. Sioris, Andrew Bell, Rik Jansen, Jerome Caron, Ralph Snel, Emanuela Palombo, Karen E. Cady-Pereira, Chris A. McLinden, Erik Lutsch, Robert O. Knuteson

    Published 2025-01-01
    “…Information on the frequency of a given detection limit, and the cumulative probability of detection, are provided as a function of instrument spectral resolution and noise. …”
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