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  1. 2441

    Long-term Ultrasound Biomicroscopy Findings Following Deep Sclerectomy Augmented with Mitomycin C by Cem Mesçi, Ali Olgun, Hasan H. Erbil, Senem Salar

    Published 2011-10-01
    “…The mean IOP decreased significantly from preoperative value of 25.1±4.6 to 16.4±3.2 mm Hg at the UBM (p=0.001). …”
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  2. 2442

    Factors contributing to communication skills development in cochlear implanted children by Ostojić Sanja, Đoković Sanja, Radić-Šestić Marina, Nikolić Mina, Mikić Branka, Mirić Danica

    Published 2015-01-01
    “…Regression analysis (enter method) showed that model consisting of indipendent variables significantly contributed to prediction of overall FAPCI scores and Adjusted R2 value could explain 32% difference in communication skills of participants in this study. …”
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  3. 2443

    Validation of Difficult Airway Physiological Score (DAPS) in Critically Ill Adults Undergoing Endotracheal Intubation in the Emergency Department by Shahan Waheed, Junaid Abdul Razzak, Nadeem Ullah Khan, Ahmed Raheem, Asad Iqbal Mian

    Published 2024-01-01
    “…Difficult Airway Physiological Score (DAPS) was derived from a sample of 1021 patients through a retrospective study. The variables in the score were age, gender, time of intubation, vitals and vomiting at presentation, pH <7.3, fever, physician’s anticipation for patient decline, and agitation. …”
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  4. 2444
  5. 2445

    Industrial multi-machine data aggregation, AI-ready data preparation, and machine learning for virtual metrology in semiconductor wafer and slider production by Feiyang Ou, Julius Suherman, Chao Zhang, Henrik Wang, Sthitie Bom, James F. Davis, Panagiotis D. Christofides

    Published 2025-06-01
    “…Advanced machine learning techniques are used to tackle the modeling challenges of a low failure rate and limited operational variability. XGBoost, a gradient descent-based tree algorithm, outperforms the commonly used Feedforward Neural Networks (FNN) in terms of training speed and resource utilization for binary-classifications, as well the performance criterion in ROC-AUC score (classification), Median Absolute Error (regression) and R2 value. …”
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  6. 2446

    Poor sleep quality among bedtime smartphone user medical students in Ethiopia, 2024 by Dereje Esubalew, Amare Mebrat Delie, Liknaw Workie Limenh, Nigus Kassie Worku, Eneyew Talie Fenta, Mickiale Hailu, Alemwork Abie, Molla Getie Mehari, Tenagnework Eseyneh Dagnaw, Mihret Melese

    Published 2024-12-01
    “…In multivariable regression, variables with a p-value of ≤0.05 were deemed significant predictors at the 95 % confidence interval. …”
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  7. 2447

    Birth Preparedness and Complication Readiness among Adult Males in Chengalpattu District, Tamil Nadu, India: A Cross-sectional Study by Vaishnavi Nagarajan, Aamina Hussain, VV Anantharaman

    Published 2025-07-01
    “…Descriptive statistics, Chi-square tests, and logistic regression (both bivariate and multivariate) were applied to assess associations among variables. A p-value of <0.05 was considered statistically significant. …”
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  8. 2448

    Impact of kidney transplantation on functional status by Hatem Ali, Karim Soliman, Mahmoud M. Mohamed, Manzur Rahman, Johann Herberth, Tibor Fülöp, Ingi Elsayed

    Published 2021-01-01
    “…Multivariate logistic regression was used to assess with the relationship between patient characteristics and abnormal functional status post-transplant.Results Three groups were identified; those with none-to-mild functional impairment at time of transplant (Group A; n = 8388), those who had moderate impairment at time of transplant (Group B; n = 7694) and those who had severe impairment at time of transplant (Group C; n = 602). …”
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  9. 2449

    Water retention influences thigh skin temperature variation post-exercise: preliminary study of bioimpedance analysis and thermography data by Alessandra Amato, Luca Petrigna, Martina Sortino, Paulo Roberto S. Amorim, Paulo Roberto S. Amorim, Giuseppe Musumeci, Giuseppe Musumeci

    Published 2025-02-01
    “…The correlation between body composition variables and skin temperature at the 3-time points was studied.Resultsan association between extracellular water (%) and basal thigh temperature both in the dominant leg (r: −0.27, p &lt; 0.01) and non-dominant leg (r: −0.26, p &lt; 0.01) was found; temperature variation analysis shows a significative temperature reduction between baseline and the end of exercise in both leg for (non-dominant: p &lt; 0.001; dominant: p &lt; 0.001) and a significative skin temperature increase after 5 min recovery, 0.14°C for the dominant leg (p &gt; 0.05) and 0.12°C for the non-dominant leg (p &gt; 0.05) considering the whole group. …”
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  10. 2450

    Magnitude and determinants of abnormal uterine bleeding among reproductive-age women in Kombolcha Rejiopolitan Administrative Town, Northeast Ethiopia: a FIGO-based study (2023) by Abubeker Seid, Gizachew Abdissa Bulto, Adem Yesuf, Ali Yimer, Hassen Ahmed, Tsegaye Benti Muse

    Published 2025-04-01
    “…The data were entered into EPI Data version 4.6 and analyzed using SPSS version 26. All predictor variables with a p-value &lt;0.25 in bivariable analysis were included in multivariable logistic regression. …”
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  11. 2451
  12. 2452

    Clinical Outcomes of Conventional Fistulotomy versus Ligation of Intersphincteric Fistula Tract in Patients with Fistula-in-ano: A Prospective Interventional Study by R Sahasra Serisha, Jayakanthan Saravanan, P Suganya

    Published 2025-03-01
    “…Categorical variables were compared using Chi-square tests, while continuous variables were compared using independent t-tests. …”
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  13. 2453

    Business Survey Data in Forecasting Macroeconomic Indicators with Combined Forecasts by Piotr Białowolski, Tomasz Kuszewski, Bartosz Witkowski

    Published 2010-12-01
    “…The database applied in the procedure will comprise of time series from the Research Institute of Economic Development (RIED) on sentiment in manufacturing industry, households, trade and construction. …”
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  14. 2454

    Leaching of Oil from Tuna Fish Liver by Using Solvent of Methyl-Ethyl Ketone by Mirna Rahmah Lubis, Nova M.

    Published 2013-12-01
    “…Oil obtained is analyzed by testing the yield, acid number, Iodine value, viscosity, and its impurities content. Yield obtained is influenced by temperature and time of leaching. …”
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  15. 2455

    TERRITORIAL DISCREPANCIES IN THE RURAL-URBAN FRINGE ZONE OF BUCHAREST by Florentina ION, Daniela PIRVU

    Published 2015-06-01
    “…The rural-urban fringe area of Bucharest is the most economically dynamic region of Romania, and, at the same time, is the one, which suffered the most from the recent economic decline. …”
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  16. 2456

    Modal Analysis of QP and LP Solution in Steady-state Optimization Layer of Two-layer Structure MPC by WANG Hongrui, ZHANG Xin, LIU Bowen, LIN Na, ZOU Tao

    Published 2020-01-01
    “…Simulation results prove that QP had better continuity than LP when the weight coefficient of decision variables are changed, and the weight coefficient of QP can more accurately adjust the bias of decision variables. …”
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  17. 2457

    Onboard Trajectory Generation of Hypersonic Morphing Aircraft by Chenxin Zhang, Yankun Zhang, Changzhu Wei

    Published 2021-01-01
    “…The simulation results indicate high accuracy of AMPI method and the final errors corresponding to different initial errors were acceptable. The mean value of the CPU time of the method was about 0.1 second, which shows real-time capability.…”
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  18. 2458

    A novel method to predict white blood cells after kidney transplantation based on machine learning by Songping He, Xiangxi Li, Zunyuan Zhao, Bin Li, Xin Tan, Hui Guo, Yanyan Chen, Xia Lu

    Published 2024-10-01
    “…Methods A total of 546 kidney transplant patients were selected as the study subjects. The time correlation feature of the ratio of the duration time of each variable to the total time in different intervals was innovatively introduced. …”
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  19. 2459

    Patterns of Circadian Variation in 24-Hour Ambulatory Blood Pressure, Heart Rate, and Sympathetic Tone Correlate with Cardiovascular Disease Risk: A Cluster Analysis by Myung Han Hyun, Jun Hyuk Kang, Sunghwan Kim, Jin Oh. Na, Cheol Ung Choi, Jin Won Kim, Eung Ju Kim, Seung-Woon Rha, Chang Gyu Park, Eunmi Lee, Hong Seog Seo

    Published 2020-01-01
    “…After adjustment for multiple variables, however, only sympathetic tone clusters 3 and 4 showed a significantly high proportion of patients at high risk (≥7.5%) of 10-year ASCVD (odds ratio OR=5.90, 95% confidential interval CI=1.27–27.46, and P value = 0.024 and OR=15.28, 95% CI=3.59–65.11, and P value < 0.001, respectively). …”
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  20. 2460

    A Novel Rubber Composite Sleeper-Deformation-Prediction Model Based on Response Surface Method (RSM) and Machine Learning (ML) Techniques by Abdulmumin Ahmed Shuaibu, Zhiping Zeng, Ibrahim Hayatu Hassan, Wang Weidong, Hassan Suleiman Otuoze, Suleiman Abdulhakeem, Bushrah Baba Abdulrahman

    Published 2024-12-01
    “… Rubber composite sleepers can experience significant temperature variations in service, causing temperature-induced deformation. Real-time monitoring of this deformation is crucial for operational safety and maintenance; however, it is costly, time-consuming, and requires substantial resources and personnel. …”
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