The Performance of GPM IMERG Product Validated on Hourly Observations over Land Areas of Northern Hemisphere by Pengfei Lv, Guocan Wu

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Modified spectral ratio method for distant measurement of temperature distribution by multispectral video cameras by K.M. Bulatov, P.V. Zinin, N.A. Khramov

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Features of the pre-analytical stage in quantitative determination of TREC/KREC in peripheral blood by M. A. Saitgalina, Yu. V. Ostankova, A. V. Sedykh, A. A. Totolian

“…When using DNA extracted from DBS with application errors, the majority of samples (64% for newborns, 78% for adults) failed to obtain a result. …”
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Assessing the feasibility of quantum learning algorithms for noisy linear problems by Minkyu Kim, Panjin Kim

“…The findings of this work include on the one hand extended applicability of the quantum Fourier transform to the ring learning with errors problem which has been left open by Grilo et al., who first devised a polynomial-time quantum algorithm for solving noisy linear problems with quantum samples. …”
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A compact public key encryption with equality test for lattice in cloud computing by Junfei He, Qing Ye, Zhichao Yang, Shixiong Wang, Jiasheng Wang

“…With those efforts, our scheme can withstand the chosen ciphertext attacks as long as the learning with errors (LWE) assumption holds. Furthermore, we evaluated the new scheme’s performance and found that it only costs approximately half the storage space compared with previous schemes. …”
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Patient safety in the ‘Room of Horrors’ simulation: a multi-method study of student, novice, and experienced nurses by Seung Eun Lee, Hyun Joo Lee, V. Susan Dahinten, Won Jin Seo, Heejin Lim, Hanjoe Kim

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Validation of geotechnical laboratory tests data obtained from various sources by Veronika Pavelcová, Tomáš Janda

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Design of Optimal Filter for Analog Signal by Roman Fedoryshyn, Sviatoslav Klos, Volodymyr Savytskyi, Yevhen Pistun, Miroslaw Woloszyn

“…Application of the developed technique for designing the optimal time constant in the automated measurement and control systems will ensure high quality of the filtration process and small dynamic error of the filtered signal.…”
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Containerized Event-Driven Microservice Architecture by Siti Zulaikha Mohd Zuki, Radziah Mohamad, Nor Azizah Saadon

“…This architecture encloses microservices in containers and implements an event manager to keep track of all the events in an event log to reduce errors in the application. Experiment results show a decline in response time compared to two other benchmark architectures, as well as a lessening in error rate. …”
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Lattice Surgery for Dummies by Avimita Chatterjee, Subrata Das, Swaroop Ghosh

“…Quantum error correction (QEC) plays a crucial role in correcting noise and paving the way for fault-tolerant quantum computing. …”
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Improved Hermite–Hadamard Inequality Bounds for Riemann–Liouville Fractional Integrals via Jensen’s Inequality by Muhammad Aamir Ali, Wei Liu, Shigeru Furuichi, Michal Fečkan

“…The use of the Jensen–Mercer inequality for general points to prove the refined bounds is a very interesting finding of this work, because it simultaneously generalizes many existing results in fractional and classical calculus. The application of these new results is demonstrated through error analysis of numerical integration formulas. …”
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First Clinical Results of Modular Intraocular Lens Implantation by E. N. Batkov, T. F. Artemyeva, N. P. Pashtayev, N. A. Pozdeyeva

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Reliability Express Control of the Gate Dielectric of Semiconductor Devices by V. A. Solodukha, G. G. Chigir, V. A. Pilipenko, V. A. Filipenya, V. A. Gorushko

“…Thermal treatment of the initial silicon wafers and gate dielectric makes it possible to expand the error-free running time up to 25.2 years, i.e.1.89 times more, than in the standard process of the pyrogenic oxidation and 1.5 times more, than under application of the rapid thermal treatment of the initial silicon wafers only.…”
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Square Root Compression and Noise Effects in Digitally Transformed Images by Craig E. DeForest, Chris Lowder, Daniel B. Seaton, Matthew J. West

“…We report on a particular example of noise and data representation interacting to introduce systematic error into scientific measurements. Many instruments collect integer digitized values and apply nonlinear coding, in particular square root coding, to compress the data for transfer or downlink; this can introduce surprising systematic errors when they are decoded for analysis. …”
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A Self-Evaluated Bilingual Automatic Speech Recognition System for Mandarin–English Mixed Conversations by Xinhe Hai, Kaviya Aranganadin, Cheng-Cheng Yeh, Zhengmao Hua, Chen-Yun Huang, Hua-Yi Hsu, Ming-Chieh Lin

“…The mixed error rate (MER) is used as a performance metric, and a workflow is outlined for its calculation using the edit distance algorithm. …”
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Note on the channel capacity of narrowband subliminal channels in one-way function by DONG Qing-kuan1, 2, LI Xiao-ping3

“…The bit error ratio is very important in one-time subliminal communication. …”
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Spectral tau technique via Lucas polynomials for the time-fractional diffusion equation by Waleed Mohamed Abd-Elhameed, Abdullah F. Abu Sunayh, Mohammed H. Alharbi, Ahmed Gamal Atta

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Process Reliability Evaluation Method of Turning Large Pitch External Thread by JIANG Bin, WANG Sen, LI Zhe, ZHANG Wei, WU Pei-jun

“…Finally, the results show that the method is applicable to recognize and evaluate the stability, repeatability of thread surface machining error and consistence of left and right thread surface machining error.…”
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Exploring Writing Challenges In Research Article Introductions Across Diverse Scientific Disciplines Within Educational Settings by Mouad Lahmer, Abderrahim Benmachiche

“…While prevalent grammatical errors, such as article usage and subject-verb agreement, were identified, readability scores suggested a moderate to challenging level of comprehension. …”
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A Novel Approach for Kalman Filter Tuning for Direct and Indirect Inertial Navigation System/Global Navigation Satellite System Integration by Adalberto J. A. Tavares Jr., Neusa M. F. Oliveira

“…The novel approach for Kalman filter tuning involves previously performing Monte Carlo simulations using ideal data from a predetermined trajectory, applying the inertial sensor error model. For the indirect filter, errors from inertial sensors are used, while, for the direct filter, navigation errors in position, velocity, and attitude are also considered to obtain the process noise covariance matrix Q. …”
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