Enhancing Education with Machine Learning: Predicting Student Readability Scores by Claire Bell

“…The research leverages a dataset of 1,000 English texts to evaluate and compare the performance of RFC, the Sooty Tern Optimization Algorithm (STOA), and the Gold Rush Optimizer (GRO) in predicting readability ratings. Key metrics, including accuracy, precision, and F1-score, are employed to assess and benchmark the models. …”
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Fertility intentions among Chinese adults: a cross-sectional study using a national survey by Mingyan Hao, Chenxiao Zhang, Haofeng Fu, Jingting Zhang, Ziyi Zhang, Baotong Ma, Ruitong Xia, Yuanwei Lu, Jingwen Liu, Hanjia Xin, Yumeng Cao, Saier Yang, Runqing Li, Ji Zhao, Jin Zhang, Zheng Gao, Yaxin Zeng, Yixiao Ding, Zhuolun Ren, Yan Guan, Na Zhang, Jia Li, Yan Ma, Pei Wei, Jingjing Dong, Chen Chen, Yajing Zhou, Jianzhong Zheng, Wei Liu, Lizheng Wang

“…To tackle the challenge of decreasing fertility rates effectively, it is essential that interventions focus on younger women and highlight the advantages of living with multiple generations. …”
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Critical review of healthcare financing and a survey of system quality perception among healthcare users in Nigeria (2010-2023). by Blessing Osagumwendia Josiah, Emmanuel Chukwunwike Enebeli, Brontie Albertha Duncan, Prisca Olabisi Adejumo, Chinelo Cleopatra Josiah, Lordsfavour Anukam, Muhammad Baqir Shittu, France Ncube, Kelechi Eric Alimele, Mercy Emmanuel, Oyinye Prosper Martins-Ifeanyi, Fawole Israel Opeyemi, Oluwadamilare Akingbade, Abosede Peace Adebayo, Busiroh Mobolape Ibraheem, Ubiebo Ataisi Ekenekot, Mudiaga Sidney Edafiejire, Solomon Oluwaseun Olukoya, Ufuomaoghene Jemima Mukoro, Siyouneh Baghdasarian, Joy Chioma Obialor, Gloria Oluwakorede Alao, Blessing Onyinye Obialor, Ndidi Louis Otoboyor, Oghosa Gabriel Josiah, Joshua Okonkwo, Precious Ebinehita Imoyera, Ajao Adewale Gbolabo, Blessing Chiamaka Nganwuchu, Olukayode Joseph Oladimeji, Timothy Wale Olaosebikan, Marios Kantaris

“…Results show that the average rating of healthcare experiences did not vary significantly over the last decade. …”
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Examining a brief web and longitudinal app-based intervention [Wysa] for mental health support in Singapore during the COVID-19 pandemic: mixed-methods retrospective observational... by Chaitali Sinha, Dyuthi Dinesh, Creighton Heaukulani, Ye Sheng Phang

“…Users who used the longitudinal intervention after first using a brief intervention demonstrated significantly higher engagement and retention (P < 0.001). In user ratings received for mindline.sg (n = 8,959), 83.03% rated the app 3 or higher (out of 5) on helpfulness. 91.6% of the users (n = 862) who attempted cognitive restructuring (n = 790) on the app successfully reframed a thought. …”
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AI usage among medical students in Palestine: a cross-sectional study and demonstration of AI-assisted research workflows by Mahmoud Yousef, Salahaldeen Deeb, Khaled Alhashlamon

“…Time management was highly rated (mean score: 4.6, SD = 0.5), highlighting AI's ability to automate repetitive tasks. …”
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Toward Fiscal Decentralization: Assessing the Performance of Internally Generated Revenue Collection for Local Development in Ghana by Charles Nicholas, Charles Dwumfour Osei, David Kwao-Sarbah

“…The findings reveal a striking pattern where property rates emerged as the most consistent and high-performing source of IGF, while revenues from land royalties and administrative fees lagged significantly. …”
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Fatty acid filled polyaniline nanofibres with dual electrical conductivity and thermo-regulatory characteristics: Futuristic material for thermal energy storage by Tanwar Surya, Varshney Gunjan, Kaur Raminder

“…In addition to exhibiting reliable thermal performance over numerous cycles, PANI/UA NFs showed excellent TES and release rates. This work addresses key challenges in TES applications by introducing a PCM based on renewable materials that offers enhanced thermal reliability and efficiency. …”
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Analysis of Factors Affecting Social Participation in Municipal Waste Management by Farhad Afshar, Madjid Abbaspour, Akram al-Muluk Lahijanian, Reza Azizinezhad

“…Cities around the world face many challenges in urban waste management, the most important of which are increased energy consumption and greenhouse gas emissions, unsanitary public spaces and bad odors, and low recycling rates and limited spaces. Benefiting from social participation, along with integrated urban planning and strategy, can be a safe and physical solution in the optimal management of municipal waste. …”
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Zonation of macrofauna across sandy beaches and surf zones along the Dutch coast by Gerard Janssen, Saskia Mulder

“…BSI ranged from 1.4 to 1.1 for the northern and western Dutch coasts respectively and had an overall value of 1.2. The rates of exposure of the beaches varied between 8 and 12, and are therefore regarded as sheltered to moderately exposed. …”
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INTEGRATED APPROACH TO ASSESSING THE SEISMIC HAZARD OF URBAN AREAS IN SOUTHERN PRIANGARIE (CASE OF THE LEFT BANK OF THE ANGARA RIVER IN IRKUTSK) by A. Yu. Eskin, V. I. Dzhurik, S. P. Serebrennikov, E. V. Bryzhak

“…The experimental methods provided the data on the seismic properties of the reference and investigated soils, the propagation rates of seismic waves in such soils, and the pattern of microseism levels, as required for a valid estimation of seismic effect parameters by the seismic rigidity method and the microseism technique. …”
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Use of Computational Intelligence in Customizing Drug Release from 3D-Printed Products: A Comprehensive Review by Fantahun Molla Kassa, Souha H. Youssef, Yunmei Song, Sanjay Garg

“…Computational intelligence (CI) mimics human intelligence by expanding the capabilities of machines in data analysis, pattern recognition, and making informed decisions. …”
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Inaccurate DNA synthesis in cell extracts of yeast producing active human DNA polymerase iota. by Alena V Makarova, Corinn Grabow, Leonid V Gening, Vyacheslav Z Tarantul, Tahir H Tahirov, Tadayoshi Bessho, Youri I Pavlov

“…Finally, we demonstrate that the mutation rates in yeast strains producing human DNA Pols ι and η are not elevated over the control strain, despite highly inaccurate DNA synthesis by their extracts.…”
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Impact of selective evidence presentation on judgments of health inequality trends: an experimental study. by Sam Harper, Nicholas B King, Meredith E Young

“…We randomized participants to see either a difference or ratio measure of health inequality alongside raw mortality rates in 5 different scenarios. At baseline there were no differences between treatment groups in assessments of inequality trends, but selective exposure to the same raw data augmented with ratio versus difference inequality graphs altered participants' assessments of inequality change. …”
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SynergyBug: A deep learning approach to autonomous debugging and code remediation by Hong Chen

“…The system demonstrated exceptional detection strength for functional and performance, and security bugs, where the detection rates reached 94% and 90% and 92%, respectively. …”
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Assessing the Effects of Climate Change and Land‐Use Changes on Extreme Discharge in the Western Watershed of Lake Urmia, Iran by Ghasem Farahmand, Behzad Hessari, Hossein Salehi

“…Furthermore, land‐use change assessments indicated that expanding orchards and irrigated and rain‐fed agricultural lands will significantly elevate future peak discharge, with differences exceeding 10 m3/s in sub‐basins like Nazlochay and Barandozchay, driven by reduced infiltration and increased runoff rates. Modeling with these tools confirmed that climate and land‐use changes synergistically alter flood dynamics, a pattern consistent with regional studies. …”
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The Clinical and Pathological Characteristics of Patients with Proliferative Glomerulonephritis with Monoclonal Immunoglobulin Deposits by Tariku T. Gudura, Hanny Sawaf, Randy Ogbenna, Ali Mehdi, Leal Herlitz, Surafel K. Gebreselassie, Shane A. Bobart

“… Introduction: Proliferative glomerulonephritis with monoclonal immunoglobin (Ig) deposits (PGNMID) is a rare form of kidney disease associated with low monoclonal protein detection rates and poor renal outcomes. The lack of effective therapy is partly due to limited data and understanding of its pathogenesis. …”
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Oral and maxillofacial cancer: A 35-year retrospective analysis at a referral dental hospital in Saudi Arabia by Ohoud Nasser Alotaibi

“…Objectives: As rates of oral and maxillofacial cancer (OMFC) continue to rise, the role of dentists in early detection and prevention has become increasingly important. …”
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Experimental study on the dynamic properties of low-cement sludge solidified soil under long-term cyclic loading by Jiantao Lin, Wenjun Wang, Xiao Cheng, Haoqiang Pan

“…The test results revealed the following: (1) The cumulative deformation of the solidified soil exhibited either a “stable” or a “failure” pattern, with the transition governed by the critical dynamic load, which was strongly influenced by the cement content. (2) Increasing the cement content significantly enhanced the fatigue resistance of the solidified soil; when the content was increased from 4 to 6%, the fatigue life improved by up to 575%. (3) When the cement content exceeded 6%, the growth rates of both fatigue life and initial dynamic elastic modulus slowed markedly, indicating a clear phenomenon of diminishing marginal returns. …”
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Investigation of gas natural separation process unsteady features by means of an experimental rig and mathematical modeling by V. A. Ivanov, V. S. Verbitsky, R. A. Khabibullin, K. A. Goridko, E. I. Nikonov

“…The experiments were carried out on a test rig with the inner diameter of the casing model 80 mm and the outer diameter of the intake module 64 mm, taking into account the possibility of measuring liquid and gas flow rates, as well as high-speed video recording of the processes occurring in the near-intake domain of the well model. …”
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SOH Estimation Method for Lithium-Ion Batteries Using Partial Discharge Curves Based on CGKAN by Shengfeng He, Wenhu Qin, Zhonghua Yun, Chao Wu, Chongbin Sun

“…Next, a SOH estimation framework based on the CGKAN model is developed, where 1-Dimensional-Convolutional Neural Networks (1D-CNN) are used to extract deep features from the original data, Bidirectional Gated Recurrent Unit (BiGRU) captures the bidirectional dependencies of the time series, and Kolmogorov–Arnold Networks (KAN) enhances the modeling of complex nonlinear features through its nonlinear mapping capabilities, thereby improving the accuracy of SOH estimation. …”
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