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  1. 1301

    Factors associated with late antenatal care booking in selected health facilities of Zoba Maekel, Eritrea: a cross-sectional study by Tesfaldet Mekonnen Estifanos, Kiflu Teweldebrhan Sengal, Eden Efrem Tekleab, Futsum Abed Mehari, Issak Gebreezgiabhier Tesfagabr, Major Asefa Tesfay, Ghidey Gebreyohannes

    Published 2025-04-01
    “…Binary logistic regression analysis was used to assess the association between the outcome variable and the independent variables and a P-value less than 0.05 was considered statistically significant. …”
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  2. 1302

    Bayesian adaptation in Poisson cognitive systems by Aleksander A. Solodov

    Published 2019-09-01
    “…In particular, to describe the stochastic properties of cognitive systems and the possibility of creating an optimal algorithm, the Bayesian approach recognized in a number of philosophical works is applied.The optimal estimate by the criterion of the minimum standard error is, as is known, a posteriori mathematical expectation of a random estimated value, which is applied in this work. In this case, the well- known difficulty of using Bayesian optimal estimation is the need to set a priori probabilities of a random variable in the system under consideration. …”
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  3. 1303

    Dynamic Response of Beams Under Random Loads by Mario Rosario Chiarelli

    Published 2025-04-01
    “…Using the spectral density of each output variable, the effective value (RMS) is obtained via integration, which allows for a preliminary estimate of the severity of the working conditions of the beam. …”
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  4. 1304

    Path Optimization Model for Urban Transportation Networks under the Perspective of Environmental Pollution Protection by Can Liu, Zongping Li, Yueyang Li

    Published 2021-01-01
    “…Then, a hybrid particle swarm optimization algorithm combined with adaptive disturbance mechanism based on variable neighborhood descent is designed, which can better carry out adaptive disturbance according to the situation that the population falls into local extreme value, and the 2-opt local search method is introduced to improve the quality of solution. …”
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  5. 1305

    Discussing the potential consequences of a diagnostic label before routine non-cancer screening: qualitative study with general practitioners and consumers by Rebecca Sims, Zoe A. Michaleff, Paul Glasziou, Rae Thomas

    Published 2025-07-01
    “…Conclusions The practice and perceived value of discussing diagnostic labelling consequences were recognised as important by both GPs and consumers. …”
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  6. 1306

    Visual inspection after acetic acid (VIA) is highly heterogeneous in primary cervical screening in Amazonian Peru. by Maribel Almonte, Catterina Ferreccio, Silvana Luciani, Miguel Gonzales, Jose M Delgado, Carlos Santos, Manuel Alvarez, Jack Cuzick, Peter Sasieni

    Published 2015-01-01
    “…<h4>Results</h4>Consistently over TATI, VIA results were highly variable, independently of the examiner, the time when the test was performed and the number of tests the examiner performed (D>6, p-values<0.001). …”
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  7. 1307

    Energy Flow Analysis of High-Frequency Flexural Vibration of Wedge Beam Structures by Miaoxia Xie, Peng Zhang, Minghui Zhu, Fengwei Gao, Lixia Li, Ling Li, Yueming Li

    Published 2022-01-01
    “…Wedge members with variable thickness are widely used in ship structures, aerospace structures, and building structures. …”
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  8. 1308

    The Influence of Motivation for Sharing GenZ Islamic Content on Social Media by Armiah Armiah, Nur Falikhah, Najla Amaly

    Published 2023-06-01
    “…The results of the study based on a sample of 566 students found that motivation and intensity simultaneously influence the behavior of sharing Islamic content. The effect value of the independent variable on the dependent variable is 58.5%. …”
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  9. 1309

    PREDICTING THE FUTURE OF QUANTITY SURVEYING PROFESSION IN THE CONSTRUCTION INDUSTRY by Joel Ochieng WAO

    Published 2016-06-01
    “… Quantity surveying profession has changed over time to adapt to the changing and increasing requirements of project owners. …”
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  10. 1310

    Incorporation of Mean/Maximum Stress Effects in the Multiaxial Racetrack Filter by Marco Antonio Meggiolaro, Jaime Tupiassú Pinho de Castro, Hao Wu

    Published 2016-10-01
    “…In this way, a small stress or strain amplitude event can be filtered out if associated with a non-damaging low mean or peak stress level, while another event with the very same amplitude can be preserved if happening under a more damaging high mean or peak stress level. The variable value of the filter amplitude must be calculated in real time, thus it cannot depend on the peak or mean stresses along a load event, because it would require cycle identification and as so information about future events. …”
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  11. 1311

    DAMPAK KEBERADAAN INFRASTRUKTUR TERHADAP PENINGKATAN PRODUKSI DAN LUAS LAHAN SAWIT by Andi Irawan

    Published 2018-03-01
    “…In the regression equation which used in this study, production and land area are positioned as dependent variable whereas development variables of construction, electricity, highway (state road, province and regency/city road), transport and telecommunications are positioned as the independent variable. …”
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  12. 1312

    Health insurance sector in India: an analysis of its performance by Madan Mohan Dutta

    Published 2020-12-01
    “…Methodology used for the study is regression analysis to establish relationship between dependent variable (Profit/Loss) and independent variable (Health Insurance Premium earned). …”
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  13. 1313

    Analysis of manufacturing and retailer blockchain decision based on resource recyclability by Wang Yao

    Published 2025-04-01
    “…Overall, the manufacturer-led closed-loop supply chain model intuitively displays the changing trends of different variables, and the decisions proposed based on this can effectively guide manufacturers and retailers in the timing of applying blockchain technology.…”
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  14. 1314

    Burnout among nurses practicing in critical care units: Predicting the contributing factors by Sahar Yaqoob Yousif, Sadeq AL-Fayyadh

    Published 2025-01-01
    “…Results: The multiple regression showed that nurses’ anxiety, stress, alarm fatigue, depression, and time span positively predict nurses’ burnout (P value = .000.,000.,000.,033.,036), respectively. …”
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  15. 1315

    Prediction Methods for Routine Maintenance Costs of a Reinforced Concrete Beam Bridge Based on Panel Data by Xiaoli Shi, Bingbing Zhao, Yuling Yao, Feng Wang

    Published 2019-01-01
    “…Two calculation models for routine maintenance cost based on linear regression and time-series analysis were proposed. The results indicate that the logarithm of the historical routine maintenance cost is the dependent variable and the bridge age is the independent variable. …”
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  16. 1316

    Analysis Method of Agricultural Total Factor Productivity Based on Stochastic Block Model (SBM) and Machine Learning by Yanzi Li, Cai Chen, Fuqiang Liu, Jian Wang

    Published 2022-01-01
    “…First, one output indicator and six input indicators are established. The time-varying variations of the national agricultural inefficiency value and its source decomposition under variable scale returns are then determined using the SBM-based algorithm of agricultural total factor productivity and the obtained sample data. …”
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  17. 1317

    Traffic Prediction of Space-Integrated-Ground Information Network Based on Improved LSTM Algorithm by Chengsheng PAN, Yufu WANG, Li YANG

    Published 2020-12-01
    “…The space-integrated-ground information network is easy to interrupt and the traffi c fl uctuation is not stable due to the problems of high traffi c burst and topological time-varying, which makes the traffi c prediction diffi cult much higher than the ground.In order to solve this problem, an improved LSTM algorithm was put forward.Firstly, the traffi c autocorrelation was judged by analyzd the infl uence of the lag variable of traffi c sequence on the predicted value; Secondly, the noise and breakpoint of the training set were eliminated by replacing the interruption with the predicted value; Finally, Dropout algorithm was used to reduce the impact of noise and neural network over fi tting, and accurately predict the traffi c data of the integrated intelligent network.The simulation results showed that in OPNET simulation environment, compared with other algorithms, the accuracy of this algorithm was improved by 59.21%, and the training speed of the algorithm was improved by 11.11%, which could provide eff ective data support for the overall scheduling of the integrated intelligent network.…”
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  18. 1318

    Slope Stability from a Hydrological Perspective: Taking Typical Soil Slope as an Example by Yuelu Zhu, Yaoting Xiao

    Published 2020-01-01
    “…In the traditional research of slope stability, it is difficult to continuously obtain the moisture content of soil in long time sequences. In combination with the precipitation, temperature, and vegetation cover data in the study area, the variable infiltration capacity hydrological model is used to estimate the daily variation of soil moisture content, which is used as a calculation condition for the analysis of slope stability. …”
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  19. 1319

    Mechanical Performance Test and Plastic Design Method Exploration of Narrow Width Steel Box Composite Beams by Yunteng Chen, Kaiqiang Qin, Yongchun Zhang, Zhenghua Li, Xiangsen Hu, Yawei Guo

    Published 2025-01-01
    “…The test value of bending bearing capacity is 1.1 times the ultimate calculated value of bending bearing capacity (steel strength is taken as the standard value of 355 MPa), indicating that the narrow steel box composite beam undergoes overall yield failure, that is, the structure does not undergo local buckling failure before the steel reaches yield strength and has good stability. …”
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  20. 1320

    RISK FACTOR ANALYSIS OF INCOMPLETE BASIC IMMUNIZATION IN CHILDREN AGED 12-23 MONTHS IN EAST NUSA TENGGARA PROVINCE by Denisca Almeida, Yahya Benyamin Bebengu, Fariani Syahrul, Arief Hargono

    Published 2024-08-01
    “…Results: In this study, it is known that the candidate in the regression test variables are father's age (p value= 0.005), mother's educational level (p value= 0.000), number of children (p value= 0.007), residence (p value= 0.000), and ANC (p value= 0.000). …”
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