FATIGUE RELIABILITY ANALYSIS OF TOWER CRANE UNDER DYNAMIC LOADS BASE ON STOCHASTIC FINITE ELEMENT METHOD by GUO MangMang, YANG Jing, WANG YuJia, WEI JiangYu

“…In order to calculate the fatigue reliability of tower crane under random dynamic loads, this paper consider the distribution of the input parameters affect the tower crane reliability, such as distribution of maneuver load parameters, using stochastic finite element method to calculate stress-time history of tower crane fatigue check points, using rain flow counting method to get the load spectrum of the check points, the residual strength is calculated based on Miner linear fatigue cumulative damage theory. …”
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Exploring Influencing Factors of Intercity Mode Choice from View of Entire Travel Chain by Xiaowei Li, Siyu Zhang, Yao Wu, Yuting Wang, Wenbo Wang

“…The model estimation results show that ticket purchasing method, comfort, punctuality, and access time are random parameters that have heterogeneous effects on intercity travel mode choice.…”
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Interrogating the Influence of Information and Communication Technology (ICT) in Combating Clinical Errors in Jos University Teaching Hospital, Plateau State, Nigeria by EMMANUEL MAHANAN JOSIAH

“…Although 308 respondents were sampled using stratified simple random and purposive sampling techniques respectively, the data analyzed were based on 293 questionnaires retrieved from the field. …”
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Vibration Analysis of a Piecewise-Smooth System with Negative Stiffness under Delayed Feedback Control by Dongmei Huang, Wei Li, Guidong Yang, Meijuan He, Hong Dang

“…The principal resonance of a delayed piecewise-smooth (DPWS) system with negative stiffness under narrow-band random excitation is investigated in aspects of multiscale analysis, design methodology of the controller, and response properties. …”
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Impact of microcredit on the performance of micro and small enterprises (MSEs) in Yemen by Osamah Ahmed AL-Maamari, Nadeem Aljonaid, Noufal Alrefaei

“…The study implemented a proportionate stratified random sampling technique to determine the sample size, and based on the sample size determination formula. …”
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Performance Comparison of IoT Classification Models using Ensemble Stacking and Feature Importance by nabila putri setiawan, Adhitya Nugraha, Ardytha Luthfiarta, Yudha Mulyana

“…To address the imbalance in the dataset, a random undersampling technique is applied to ensure the machine learning model is not biased towards the majority class. …”
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An Empirical Assessment of Factors Influencing Injury Severities of Motor Vehicle Crashes on National Highways of Pakistan by Hanif Ullah, Asim Farooq, Akhtar Ali Shah

“…Due to the high number of road traffic crashes and resulting fatalities, a random parameters logit model was estimated to determine the risk factors that influence the severity of injuries caused by motor vehicle crashes on national highways. …”
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The Effect of Innovation Application on the Competitiveness of Small Pig Farm in Mekong Delta, Vietnam by Nguyen Hoang Qui, Budi Guntoro

“…The study included 260 small-scale pig producers selected through a random sampling method. Multiple regression analysis was conducted to examine the impact of (1) social profiles on innovations at pig farms and (2) innovations on the competitiveness at pig farms. …”
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Probability-Based Sensitivity of Service Life of Chloride-Attacked Concrete Structures with Multiple Cover Concrete Repairs by Aruz Petcherdchoo

“…Probabilistic data of four governing random variables (surface chloride, diffusion coefficient, concrete cover depth, and critical chloride) and six repair strategies for corrosion-free condition are introduced. …”
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Targeting the Heart of Mycobacterium: Advances in Anti-Tubercular Agents Disrupting Cell Wall Biosynthesis by Ahmad Diab, Henry Dickerson, Othman Al Musaimi

“…<i>Mycobacterium tuberculosis</i> infections continue to pose a significant global health challenge, particularly due to the rise of multidrug-resistant strains, random mycobacterial mutations, and the complications associated with short-term antibiotic regimens. …”
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Accounting Controls and Quality of Financial Reporting by Yusuf Alabi Olumoh

“…The study drew upon primary data obtained from a selected group of 140 stakeholders within the MFB industry in Kwara State, Nigeria, utilizing random and stratified sampling methods. The data analysis was conducted using descriptive and inferential statistics employing the Partial Least Square Structural Equation Modelling technique. …”
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Machine Learning Classifiers and Data Synthesis Techniques to Tackle with Highly Imbalanced COVID-19 Data by Avaz Naghipour, Mohammad Reza Abbaszadeh Bavil Soflaei, mostafa ghader-zefrehei

“…In this study, we evaluate three machine learning models—Random Forest (RF), Logistic Regression (LR) and Decision Tree (DT)—for detecting COVID-19 trained on preprocessed imbalanced datasets with 5086 negative and 558 positive cases. …”
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Perilaku belajar dan self regulated learning siswa selama belajar dari rumah pada masa pandemi Covid-19 by Adi Atmoko, Khairul Bariyyah, Augusto Da Costa, Husni Hanafi, Eny Tri Wahyuni

“…The research subjects were 2,867 junior high school students in Indonesia, Grades 7, 8 and 9 were selected by cluster random sampling. Data was collected online using google form. …”
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Hubungan Konsumsi Zat Besi dengan Kejadian Anemia pada Murid SMP Negeri 27 Padang by Istiya Putri Lestari, Nur Indrawati Lipoeto, Almurdi Almurdi

“…Jumlah sampel adalah 102 murid yang dipilih secara systematic random sampling. Konsumsi zat besi diukur dengan kuisioner food recall 2 x 24 jam dan penetapan kadar hemoglobin dengan metode hemometer digital. …”
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An Investigation of the Relationship Between Banks' Use of Derivative Products and Sectoral and Macroeconomic Factors: An Application on the Turkish Banking Sector by Ali Hepşen, Yusuf Pala

“…Derivative products classified as forward foreign exchange transactions, swap currency transactions, swap interest rate transactions, futures transactions, and option transactions are analyzed in terms of selected financial indicators of banks, their characteristics, and their relationship with macroeconomic variables such as inflation. In the study, the random effect panel Tobit regression model is used as a method. …”
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Latent profile analysis of fatalism and its influencing factors among community-dwelling disabled elderly individuals by Jinlei Du, Xiaoling Wu, Qiyu Zhang, Yuanxia Wang, Yao Chen, Chencong Nie

“…The findings will provide valuable insights for formulating tailored care management strategies for this population.DesignA cross-sectional survey study.MethodsA random sampling approach was used to survey disabled elderly individuals residing in 109 communities across eight urban districts in Sichuan Province. …”
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PSYCHOEDUCATION REDUCES ANXIETY IN ELDERLY WITH HYPERTENSION IN NAMBAKOR VILLAGE SARONGGI DISTRICT SUMENEP by Emdat Suprayitno, Zakiyah Yasin, Istiqamatul Karamah, Dian Ika Puspitasari

“…The sampling technique used is Random Sampling and the number of samples is 30 respondents. …”
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An Optimized Approach for Secure Data Transmission Using Spread Spectrum Audio Steganography, Chaos Theory, and Social Impact Theory Optimizer by Rohit Tanwar, Kulvinder Singh, Mazdak Zamani, Amit Verma, Prashant Kumar

“…Human has associated an acute degree of sensitivity to additive random noise. An individual is able to detect noise in an audio file as low as one part in 10 million. …”
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DIGITAL LITERACY AND LINGUISTIC POLITENESS AMONG ADOLESCENTS IN ACEH TAMIANG by Prima Nucifera, Nizar Saputra, Muhammad Yakob

“…The subjects, aged 12 to 24 years, were selected based on WHO's classification of teenagers and proportional random sampling techniques. Data were derived from the speech of teenagers, collected through observation using a Non-Participant Observation Technique. …”
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State estimation with quantum extreme learning machines beyond the scrambling time by Marco Vetrano, Gabriele Lo Monaco, Luca Innocenti, Salvatore Lorenzo, G. Massimo Palma

“…In particular, we show efficient state estimation is possible even beyond the scrambling time, for many different types of dynamics — in fact, we show that in all the cases we studied, the reconstruction efficiency at long interaction times matches the optimal one offered by random global unitary dynamics. These results offer promising venues for robust experimental QELM-based state estimation protocols, as well as providing novel insights into the nature of QIS from a state estimation perspective.…”
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