Relationship Between 3D Surface Roughness Parameters and Load Capacity of Adhesive Joints after Shot Peening by Władysław Zielecki, Sławomir Świrad, Ewelina Ozga

“…Amathematical model describingthe impact of treatment time,ballsdiameterand compressed air pressureon the value of the Sdrparameterwas also built. …”
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Hybrid Machine Learning Model for Hurricane Power Outage Estimation from Satellite Night Light Data by Laiyin Zhu, Steven M. Quiring

“…For example, the xgb+xgb model has 14% less RMSE than the log+cnn model, and the R-squared value is 25 times larger. The Interpretable ML (SHAP value) identified geographic locations, population, and stable and hurricane night light values as important variables in the XGBoost power outage model. …”
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Modeling the Human Kinetic Adjustment Factor for Inhaled Volatile Organic Chemicals: Whole Population Approach versus Distinct Subpopulation Approach by M. Valcke, A. Nong, K. Krishnan

“…Overall, this study evaluated for the first time the impact of underlying assumptions with respect to the interindividual variability considered (whole population or each subpopulation taken separately) when determining the HKAF.…”
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Study on Influencing Factors of Alkaline Nickel-Free Normal Temperature Sealing Process Performance by TAO Ming, LIU Xiaohui, LIU Chuanye, WANG Wenhao, DING Yunhu, ZHAN Wen

“…In order to support the development and application of energy-efficient and environmentally friendly nickel-free cold sealing technologies，a systematic study was conducted to investigate various factors affecting the sealing quality of alkaline nickel-free normal temperature sealing processes.These factors included sealing process parameters (such as pH，temperature，time，surfactants and fluoride ions) and process management variables (such as aging temperature，aging time，and aluminum ion impurities).The sealing quality was evaluated using an online rapid dye spot test，and further verified through a phosphochromic acid weight loss test following nitric acid pre-immersion.Results showed that pH and temperature were the most influential parameters affecting the sealing quality.When the pH value fell below 8 or the temperature dropped below 25 ℃，the sealing quality deteriorated rapidly.Special attention should be paid to the introduction of aluminum ions into the oxidation tank during production management，resulting in turbidity of the bath solution and the formation of sealing ash on the sealed surface，among other issues.When the ambient temperature was below 15 ℃，the sealing film aging process was found to be incomplete，resulting in a weight loss of the sealed pores exceeding 60 mg/dm2 after 24 h of aging.The optimal sealing process control parameters were determined as follows: fluoride ion concentration of 0.4～0.6 g/L，pH value of 8.2～8.6，sealing temperature of 32～35 ℃ and sealing time of 1.2～1.3 min/μm.…”
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The ABIC score for assessing long-term outcomes in elderly hospitalized patients with acute exacerbations of chronic heart failure by Zebin Lin, Manxiang Deng, Li Xiao, Yipin Zhao

“…Abstract Objectives The purpose of this study was to evaluate the predictive value of the ABIC score in the long-term prognosis of elderly patients with acute exacerbations of chronic heart failure (CHF), and to explore whether its integration with other known prognostic variables could enhance the performance of a predictive model. …”
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Comparison of multi-state Markov models for cancer progression with different procedures for parameters estimation. An application to breast cancer by Leonardo Ventura, Giulia Carreras, Donella Puliti, Eugenio Paci, Marco Zappa, Guido Miccinesi

“…All the models produced estimates for screening sensitivity and mean sojourn time. The data used in our application seem to lead to a non-identifiability problem, since the estimation procedures for both the Maximum Likelihood and Non-Linear Least Squares gave estimates that changed with the parameters’ initial values or difficultly converged. …”
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Getting back on track after treatment of cancer: A qualitative interview study of cancer survivors' experiences. by Doris van der Smissen, Marjolein Lugtenberg, Manon Enting, Laurens Beerepoot, Floortje Mols, Evelien Brouwers, Dareczka Wasowicz, Margot Joosen

“…Purposive sampling was used to select a variable sample in terms of diagnoses (e.g. breast cancer, colorectal cancer, melanoma), age (18-77 years), and time after diagnosis (0-7 years). …”
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Experimental Comparison of the Performance of Shear Frame with TLD and TLCD Under Harmonic Ground Motion by Yunus Emre Kebeli, Ersin Aydın, Baki Öztürk, Hüseyin Çetin

“…Additionally, harmonic ground motion experiments at the resonance frequency compared both acceleration and displacement values over time for damped and undamped models. Peak acceleration and displacement values on each floor were also analyzed. …”
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A Prospective Study Evaluating Gender Differences of Serious Outcomes through Difficult Airway Physiological Score (DAPS) in the Emergency Department by Shahan Waheed, Rida Jawed, Ahmed Raheem, Asad Iqbal Mian

“…The prospective validity of the difficult airway physiological score was derived using retrospective data and includes 12 variables: sex, age, time of intubation, hypotension, respiratory distress, vomiting, shock index >0.9, pH < 7.3, fever, anticipated decline, Glasgow Coma Scale (GCS) < 15, and agitation. …”
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Navigating a sustainable agricultural economy in Indonesia's new capital city by Arfiah Busari, Surya Darma, Priyagus Priyagus, Tetra Hidayati, Dedy Darmawan, Dio Caisar Darma, Akhmat Rizkuna

“…Third, employment, loan value, per capita income, and economic growth are positively associated with per capita expenditure. …”
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An efficient deep learning prognostic model for remaining useful life estimation of high speed CNC milling machine cutters by Hamdy K. Elminir, Mohamed A. El-Brawany, Dina Adel Ibrahim, Hatem M. Elattar, E.A. Ramadan

“…CNC machines are engaged in numerous industries, including critical ones like the aerospace, automotive, and military sectors, among others. Sensor data are time-series that may suffer from complex interconnections between variables and dynamic features. …”
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Synthetic DNA Fragments as High‐Resolution Tracers for Hydrological Parameter Inversion by Xinlin Li, Zhaofei Duan, Renkuan Liao, Jirka Šimůnek, Yuguo Han, Dayong Yang

“…DNA tracers produced clearer breakthrough signals and achieved consistently higher accuracy (R2 values of 0.75 and 0.75 for twice TTTI; 0.79 and 0.76 for twice two‐step approach), whereas dye tracers yielded lower and more variable R2 values (0.64 and 0.59; 0.75 and 0.56). …”
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How macroeconomic factors impact residential real estate prices in Eastern Europe by Laima Okunevičiūtė Neverauskienė, Dominykas Linkevičius, Daiva Andriušaitienė

“…  Purpose – This study examines how GDP growth, interest rates, and unemployment rates influence residential real estate prices in politically and economically stable Eastern Euro- pean countries, aiming to identify key drivers of property value changes in the region. Research methodology – The study uses multiple linear regression and Pearson correlation (r) to assess the relationship between variables and housing prices, with ARIMA (3,1,0) applied for short-term price forecasts based on cyclical time series trends. …”
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Comparison of Milrinone with Sildenafil for the Treatment of Persistent Pulmonary Hypertension of the Newborn by Imtiaz Ahmad, Motia Javaid, Tanveer Ahmad, Imran Baloch, Nisar Khan Sajid, Abdul Razzaq Mughal

“…The primary outcome variables were the mortality and duration of hospital stay. …”
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Feedforward neural network (FFNN) optimization and modelling approach for the upgrading of South African coal fines via flotation process by Nomsa P. Baloyi, Joseph M Nseke

“…Correlation analysis indicated that coal yield and calorific value increased with these variables, while ash content decreased. …”
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Evaluating landscape ecological risk through Supply-Demand balance in ecosystem services Evidence from China by Jiangwei Kong, Mengxi Gao, David Deusen

“…The overall landscape ecological risk of the Southwest China during the past 20 years presented fluctuations, with a higher value in the northeast area and a lower value in the southwest. …”
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Is it possible to perform forensic human identification by calculating fractal dimensions? A pilot study in panoramic radiographs by Annie Seabra de Medeiros, Vanessa Moreira Andrade, Andreia Cristina Breda de Souza, Maria Augusta Visconti

“…Results When comparing the panoramas of the same individual, there was no statistical difference (p = 0.067 for fractal dimension and p = 0.251 for mean gray value) for any of the regions tested. The specific trabecular region presented less variability in measurements between times in both analyses. …”
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ABOUT ANALYTICAL METHOD FOR SOLVING THE CAUCHY PROBLEM OF TWO QUASILINEAR HYPERBOLIC EQUATIONS SYSTEM by A. A. Gorinov

“…The cross-sections of the components of this graph for different instants of time are brought in the figure. The graph shows that at some point of time the solution stops being unambiguous. …”
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SC-GROG followed by L+S reconstruction with multiple sparsity constraints for accelerated Golden-angle-radial DCE-MRI. by Faisal Najeeb, Kashif Amjad, Irfan Ullah, Hammad Omer

“…Reconstruction results of the proposed method are evaluated by using: (i) convergence error, (ii) peak and mean values of arterial signal intensity in the selected region of interest (ROI) of DCE MR Images, and (iii) reconstruction time. …”
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Recycling Discharged Treated Wastewater from Dairy Factories for Industrial and Irrigation Purposes by Waleed M. Abood, Dhafir F. Ali, Firas S. Abass, Baydaa M. Ali

“…To enhance the treated water quality further, adsorption using activated carbon (AC) was implemented through a batch system involving 800 ml of PW and 2 gm of AC, with a variable time and an equilibrium period of 5 hours. …”
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