Energy preserving evolutions over Bosonic systems by Paul Gondolf, Tim Möbus, Cambyse Rouzé

“…One such example is in bosonic error correction schemes, where dissipation is used to drive states back to the code-space – an invariant subspace protected against certain types of errors. …”
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Mathematical modeling and statistical analysis of breast cancer drugs using M-polynomial indices for the physical properties by Qasem M. Tawhari, Muhammad Naeem, Saba Maqbool, Abdul Rauf, Oladele Oyelakin

“…We calculated M-polynomial indices using the edge partition of graphs based on degree and adjacency matrix. A Python code is developed based on an adjacency matrix to efficiently compute the indices that reduce calculation time from days to minutes and eliminate human error. …”
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Research on Anti-Single-Frequency Interference Ability of Underwater Acoustic DSSS Communication System with Short-Period PN Sequences by Xiaowei Wang, Yong Wei, Qi Ma

“…The results reveal that the interference sequence generated by correlation processing assumes either a direct current (DC) or sinusoidal distribution. The bit error rate (BER) of the system is influenced by signal-to-interference ratio (SIR), interference frequency offset, phase deviation, and the structure of the spreading code itself. …”
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Sentiment Analysis of National Health Security Mobile Application Review Using Machine Learning by Deta Novian Anantika Putra

“…In contrast, the words application, update, complex, login, code, verification, register, open, use, and error dominate the negative reviews, indicating users had difficulties logging in and registering user accounts, mainly related to frequent updates and Time Password errors.…”
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The crane radar: Development and deployment of an operational eco-digital twin by K. De Koning

“…By showing an example of the crane radar, a real-time digital twin of the common crane (Grus grus) migration, this paper illustrates what digital twins could look like in ecology, and which challenges modellers face towards actual deployment of their digital twin in an operational environment.The most important challenges identified here are: ex ante quality and error control of the input data; accounting for time lags between observations and data availability; harmonising the updating frequencies and temporal resolutions of models and data; developing robust model/software code to keep digital twins alive; the necessity of learning new skills for ecological modellers; and effectively communicating digital twin outputs to stakeholders. …”
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Bridge Deformation Monitoring Combining 3D Laser Scanning with Multi-Scale Algorithms by Dongmei Tan, Wenjie Li, Yu Tao, Baifeng Ji

“…The bridge deck’s micro-settlement error was ±1.2 mm, and the pier inclination error was ±2.8 mm, meeting the Chinese Highway Bridge Maintenance Code (JTG H11-2004) and the American Association of State Highway and Transportation Officials (AASHTO) standards, and the multi-scale algorithm achieved engineering-level accuracy. …”
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A Discourse Analysis of Cyber Socialising Interactions in English Among Students by Tiyiselani Ndukwani, Runash Ramhurry

“…The study found that the language used on Facebook, WhatsApp and Twitter was characterised by the use of emoji, low register words, code-switching few spelling errors and the modern tendency to shorten words by using clipping and number homophones which are not seen as errors but a unique style of writing. …”
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Application of Artificial Intelligence using K-Means for Programming Question Assessment by Waliyyudin Waliyyudin, Ichsan Ibrahim

“…The method employed is the K-Means clustering algorithm, chosen for its ability to group answers based on similarities in logic and code structure rather than mere textual similarity. …”
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Creativity, Invention and Linguistic Analysis. by Silvia Lilli

“…Traditional approaches often prioritize close reading over quantitative analysis, particularly for texts marked by extreme creativity. …”
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LegacyVegetation: Northern Hemisphere reconstruction of past plant cover and total tree cover from pollen archives of the last 14 kyr by L. Schild, L. Schild, P. Ewald, P. Ewald, C. Li, C. Li, R. Hébert, T. Laepple, T. Laepple, U. Herzschuh, U. Herzschuh, U. Herzschuh

“…The new REVEALS dataset is freely available on PANGAEA (see the Code and data availability section; <span class="uri">https://doi.org/10.1594/PANGAEA.974798</span>, <span class="cit" id="xref_altparen.2"><a href="#bib1.bibx40">Herzschuh et al.…”
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Regression analysis and artificial neural networks for predicting pine species volume in community forests by Wenceslao Santiago-García

“…The ANN was optimized using L1 regularization and the Adam optimizer. The quantitative variables were diameter at breast height and total tree height, while the qualitative variables were species (P. patula and P. pseudostrobus) and volume type (whole-tree volume and stem volume), both coded as 1 and 0, respectively. …”
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Verification of Copernicus riparian zones local component for Bulgaria – specific cases and typical problems by Yulia G. KROUMOVA, Radka G. KOLEVA, Youlin N. TEPELIEV, Ventzeslav N. DIMITROV

“… This paper deals with quantitative evaluation of Riparian zones land cover and land use data set for Bulgaria, supported by Copernicus Programme's funds. …”
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Verification of Copernicus riparian zones local component for Bulgaria – specific cases and typical problems by Yulia G. KROUMOVA, Radka G. KOLEVA, Youlin N. TEPELIEV, Ventzeslav N. DIMITROV

“… This paper deals with quantitative evaluation of Riparian zones land cover and land use data set for Bulgaria, supported by Copernicus Programme's funds. …”
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Evaluation of Particle Size and Friction Coefficients in Sintered Metal Process Development by Discrete Element Simulation by Naoki Yashiro, Natsuko Sugimura, Hitoshi Washizu

“…The effects of particle size and friction coefficients of Fe-Ni-Mo steel powder on their filling behavior by a discrete element method (DEM) simulation were investigated. Our original DEM code based on FDPS (Framework for Developing Particle Simulator) was used for these simulations. …”
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Influence of nominal distortion of Beidou-3 B1C signal on ranging performance by Xue WANG, Yao GUO, Yongnan RAO, Xiaochun LU, Li KANG

“…The B1C signal is selected as a civil navigation signal for the BDS-3 system,which adopts a complex constant envelope modulation in the B1 frequency band.Therefore,it is easy to generate nominal distortion during signal generation.Such nominal distortion of each satellite produces inconsistent ranging deviation and directly degrades the system positioning performance.A complete ranging deviation estimation method was proposed for B1C signals in this paper.Firstly,the S-Curve Bias (SCB) was used to quantitatively analyze the B1C signal ranging deviation,and the standard correlation curve estimation method was proposed to realize the accurate estimation of the code phase deviation at the peak of the correlation curve.Secondly,a algorithm was designed to solve the problem of QMBOC signal mislocking at the platform during receiver tracking.Finally,the actual ranging bias and nature ranging bias of each satellite of Beidou-3 under different correlation intervals and front-end bandwidth of the user receiver were analyzed based on the satellite downlink signals collected from the 40-meter high-gain antenna at the National Time Service Center,and the recommended user receiver parameter range was given.The strategy proposed in this paper can be extended to other MBOC signal ranging error estimation,and the test results can be thought of as a reference to the development of BeiDou-3 receiver.…”
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Influence of nominal distortion of Beidou-3 B1C signal on ranging performance by Xue WANG, Yao GUO, Yongnan RAO, Xiaochun LU, Li KANG

“…The B1C signal is selected as a civil navigation signal for the BDS-3 system,which adopts a complex constant envelope modulation in the B1 frequency band.Therefore,it is easy to generate nominal distortion during signal generation.Such nominal distortion of each satellite produces inconsistent ranging deviation and directly degrades the system positioning performance.A complete ranging deviation estimation method was proposed for B1C signals in this paper.Firstly,the S-Curve Bias (SCB) was used to quantitatively analyze the B1C signal ranging deviation,and the standard correlation curve estimation method was proposed to realize the accurate estimation of the code phase deviation at the peak of the correlation curve.Secondly,a algorithm was designed to solve the problem of QMBOC signal mislocking at the platform during receiver tracking.Finally,the actual ranging bias and nature ranging bias of each satellite of Beidou-3 under different correlation intervals and front-end bandwidth of the user receiver were analyzed based on the satellite downlink signals collected from the 40-meter high-gain antenna at the National Time Service Center,and the recommended user receiver parameter range was given.The strategy proposed in this paper can be extended to other MBOC signal ranging error estimation,and the test results can be thought of as a reference to the development of BeiDou-3 receiver.…”
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Use of open-text responses to recode categorical survey data on postpartum contraception use among women in the United States: A mixed-methods inquiry of Pregnancy Risk Assessment... by Nicole K Richards, Christopher P Morley, Martha A Wojtowycz, Erin Bevec, Brooke A Levandowski

“…Though this analysis may be limited by manual coding error and researcher biases, we avoided coding exhaustion via 1-hour coding periods and validated reliability through intercoder kappa scores.…”
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Prediction of PD-L1 tumor positive score in lung squamous cell carcinoma with H&E staining images and deep learning by Qiushi Wang, Xixiang Deng, Pan Huang, Qiang Ma, Lianhua Zhao, Yangyang Feng, Yiying Wang, Yuan Zhao, Yan Chen, Peng Zhong, Peng He, Mingrui Ma, Peng Feng, Hualiang Xiao

“…The root mean square error (RMSE) of quantitative prediction TPS was 26.8, and the intra-group correlation coefficients with the gold standard was 0.92 (95% CI: 0.90–0.93), which was better than the consistency between the results of five pathologists and the gold standard.ConclusionThe deep learning model is capable of segmenting and quantitatively predicting PD-L1 expression in H&amp;E-stained digital sections of lung squamous cell carcinoma, which has significant implications for the application and guidance of immune checkpoint inhibitor treatments. …”
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Intelligent Environmental Health Risk Assessment System for the Elderly in Cold Regions Based on Artificial Intelligence Integrated Development Environment by Tianheng ZHANG, Yao FU, Jian GAO, Huanran XUE

“…This approach substantially lowers technical barriers for cross-disciplinary applications by converting research requirements and model logic into structured code through natural language processing. The system provides quantitative indicators and scientific foundations for optimizing elderly-oriented landscape environments in cold regions, including optimal spatial openness range (0.65 − 0.80), recommended green coverage threshold (0.82 − 0.88), and gender-specific environmental transition zone designs. …”
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DIAGNOSIS AND PREDICTION OF CHOLECYSTITIS DEVELOPMENT ON THE BASIS OF NEURAL NETWORK ANALYSIS OF RISK FACTORS by V. A. Lazarenko, A. E. Antonov

“…The training of the artificial neural network with a quantitative output coding the age of probable hospitalization made it possible to generate an array of values, signifficantly (α ≤ 0.001) not differing from the empirical data. …”
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