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  1. 10481

    Investigation of Reinforced Concrete Column Containing Metakaolin and Fly Ash Cementitious Materials by R. Dharmaraj, Sudhir Singh Bhadauria, K. Mayilsamy, J. Thivya, Alagar Karthick, I. Baranilingesan, V. Mohanavel, M. Muhibbullah, Sameh M. Osman

    Published 2022-01-01
    “…All combinations have the same 0.30 water binder ratio (W/B) and are utilized to achieve improved workability with the addition of a superplasticizer for a chemical admixture, namely, CERAPLAST 300. Seven proportions are cast with 0%, 5%, 7.5%, and 10% replacement of cement with metakaolin and another set of specimens with 5%, 7.5%, and 10% replacement with metakaolin along with a constant 10% replacement of fly ash. …”
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  2. 10482

    Students' mathematical literacy in number pattern material seen from initial mathematical abilities by Refika Dwi Saputri, Syutaridho Syutaridho, Arvin Efriani

    Published 2024-12-01
    “…The research results show that students with high initial mathematical abilities are able to solve level 1, 2, 4, and 5 questions, students achieve 3 indicators of mathematical literacy, namely formulate, employ, and interpret. Students with moderate and low initial mathematical abilities are able to answer level 1, 2, and 4 questions, write conclusions correctly but without explaining the work strategy so that students are said to have not been able to achieve the formulate or employ indicators, and in the interpreting indicators students with low and medium initial abilities are the same. never been able to answer the problem. …”
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  3. 10483

    Structural Characteristics of Regenerated Roof and Distribution Law of Overburden Porosity in Downward Mining of a Bifurcated Coal Seam by Ru Hu, Jiwen Wu, Xiaorong Zhai, Wenbao Shi, Kai Huang

    Published 2022-01-01
    “…Results show that the overburden structure of the lower coal seam is altered due to the mining influence of the upper coal seam, and the regenerated roof of the lower coal seam is divided into three structural types from top to bottom, namely: intact rock mass+block fracture rock mass+loose rock mass (type I structure); intact rock mass+block fracture rock mass+loose rock mass+cataclastic rock mass (type II structure); and intact rock mass+block fracture rock mass+loose rock mass+cataclastic rock mass+slab-rent rock mass (type III structure). …”
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  4. 10484
  5. 10485

    Provision of Registration Services by Public Administration Agencies in the Field of Land Protection by M. V. Chorna

    Published 2019-06-01
    “…Such circumstances necessitate a change in the existing approaches to the legal regulation of service relations for the provision of registration services in the current legislation and to enshrine provisions for providing the registration services in the field of land protection by public administration agencies in the LC of Ukraine, namely in the Section VII “Administration in the field of land use and protection” and in the Law of Ukraine “On Land Protection”.…”
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  6. 10486

    Analisis Tingkat Kematangan Pendistribusian Ruang Kelas dengan Framework COBIT 4.1 Menggunakan Domain DS10 by Imroatul Muthoharoh, Elfara Fraksi Dwipa, Renny Sari Dewi

    Published 2019-12-01
    “…There are two types of data, namely primary data and secondary data. Primary data is obtained through observation or interview, while secondary data is obtained from scientific journals, e-books, and others. …”
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  7. 10487

    The Influence of Ventilation Arrangement on the Mechanism of Dust Distribution in Woxi Pithead by Zhiyong Zhou, Pei Hu, Chongchong Qi, Tianpei Niu, Ming Li, Long Tian

    Published 2018-01-01
    “…The results show that there were four regions during the airflow field, namely, the jet zone, the recirculation zone, the vortex zone, and the mixing zone of pressure and exhaust airflow. …”
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  8. 10488

    A data driven machine learning approach for predicting and optimizing sulfur compound adsorption on metal organic frameworks by Mohsen Shayanmehr, Sepehr Aarabi, Ahad Ghaemi, Alireza Hemmati

    Published 2025-01-01
    “…Abstract This study employed some machine learning (ML) techniques with Python programming to forecast the adsorption capacity of MOF adsorbents for thiophenic compounds namely benzothiophene (BT), dibenzothiophene (DBT), and 4,6-dimethyl dibenzothiophene (4,6-DMDBT). …”
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  9. 10489

    Prostate Cancer Detection from MRI Using Efficient Feature Extraction with Transfer Learning by Rafiqul Islam, Al Imran, Md. Fazle Rabbi

    Published 2024-01-01
    “…It emphasizes utilizing deep learning models, namely VGG16, VGG19, ResNet50, and ResNet50V2, to extract relevant features. …”
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  10. 10490

    Evidence mapping on barriers in accessing prenatal healthcare services among homeless women: a scoping review by Monsurat Adepeju Lateef, Julian David Pillay

    Published 2025-01-01
    “…Two major themes were identified, namely: Theme 1: the barrier to accessing prenatal healthcare services and Theme 2: Social Support needs. …”
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  11. 10491

    Efficient Generative-Adversarial U-Net for Multi-Organ Medical Image Segmentation by Haoran Wang, Gengshen Wu, Yi Liu

    Published 2025-01-01
    “…This paper introduces a novel medical image-segmentation framework named Efficient Generative-Adversarial U-Net (EGAUNet), designed to facilitate rapid and accurate multi-organ labeling. …”
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  12. 10492

    SC-ResNeXt: A Regression Prediction Model for Nitrogen Content in Sugarcane Leaves by Zihao Lu, Cuimin Sun, Junyang Dou, Biao He, Muchen Zhou, Hui You

    Published 2025-01-01
    “…To address these issues, a novel regression prediction model for estimating the nitrogen content of sugarcane, named SC-ResNeXt (Enhanced with Self-Attention, Spatial Attention, and Channel Attention for ResNeXt), has been proposed in this study. …”
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  13. 10493

    Effects of different Lys/Met ratios on the antioxidant capacity, tissue morphology, and fatty acid composition of subcutaneous fat in Tibetan sheep on low-protein diets: a lipidomi... by Rengeerli Sa, Fengshuo Zhang, Xianhua Zhang, Wei Gao, Yu Zhang, Jiacheng Gan, Shengzhen Hou, Linsheng Gui

    Published 2025-01-01
    “…Additionally, several lipid molecules associated with the phenotype (Antioxidant index and fatty acid content) were identified, namely, DG(38:3e) + Na, PE(17:1_22:2)-H, PI(17:0_20:3)-H, TG(33:0e) + NH4, Cer(d14:0_17:1) + H, and CL(81:13)-2H. …”
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  14. 10494

    Models of Historical Memory and past Representation of Vilnius University in the 19th-20th Centuries by Alfredas Bumblauskas

    Published 2005-12-01
    “…The article focuses on the representational forms of Vilnius University of the past times, such as anniversaries (1828, 1929, 1979, 2004), monuments, commemoration galleries, naming of the courtyards and halls of the University, commemorating both the said anniversaries and marking other occasions, as sources of historical memory. …”
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  15. 10495

    CooccurrenceAffinity: An R package for computing a novel metric of affinity in co-occurrence data that corrects for pervasive errors in traditional indices. by Kumar P Mainali, Eric Slud

    Published 2025-01-01
    “…In our recent study (Mainali et al 2022), we revealed the source of the problems that make the traditional indices fundamentally flawed and unreliable-namely that the indices in common use have no target of estimation quantifying degree of association in the non-null case-and we further developed a novel parameter of association, alpha, with complete formulation of the null distribution for estimating the mechanism of affinity. …”
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  16. 10496

    Evaluation of the willingness to perform cardiopulmonary resuscitation (CPR) with automated external defibrillator (AED) among Hong Kong Chinese using the theory of planned behavio... by Victor C W Tam, Anthony Wai Leung Kwok

    Published 2024-07-01
    “…Three TPB determinants, namely attitude, subjective norm and perceived behavioural control; and perceived barriers were asked using 5-point Likert scales. …”
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  17. 10497

    Exploring happiness factors with explainable ensemble learning in a global pandemic. by Md Amir Hamja, Mahmudul Hasan, Md Abdur Rashid, Md Tanvir Hasan Shourov

    Published 2025-01-01
    “…We design two ensemble ML and DL models using blending and stacking ensemble techniques, namely, Blending RGMLL, which combines Ridge Regression (RR), Gradient Boosting (GB), Multilayer Perceptron (MLP), Long Short-Term Memory (LSTM), and Linear Regression (LR), and Stacking LRGR, which combines LR, Random Forest (RF), GB, and RR. …”
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  18. 10498

    Ideea de bine comun și criza sistemelor simbolice de interpretare a lumii în Țiganiada lui Ioan Budai-Deleanu by Mianda Cioba

    Published 2016-12-01
    “…Hirsch (1967), is leading to the work of art’s meaning, a semantic reality different from the one named significance, configured in the reading process. …”
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  19. 10499

    A Low‐Latitude Three‐Dimensional Ionospheric Electron Density Model Based on Radio Occultation Data Using Artificial Neural Networks With Prior Knowledge by Ding Yang, Hanxian Fang

    Published 2023-01-01
    “…In this paper, we utilize the results of International Reference Ionosphere (IRI)‐2016 as prior knowledge to develop a low‐latitude (30°N–30°S) three‐dimensional ionospheric electron density model using ANN, namely ANN‐IRI, based on COSMIC radio occultation ionospheric profiles during 2006–2020. …”
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  20. 10500

    RETRACTION Sulistiyo, S., Setyawan, H., Primasoni, N., Widiyanto, W., Fudin, M. S., Sabariah, S., Rufi’i, R., Pranoto, N. W., Gontara , S. Y., Arien, W., Susanto, S., Wahyuni, D.,... by RETOS RETOS

    Published 2025-01-01
    “…The accepted Word document was sent with the names of the authors that appeared in the “Corrections for the edition” message so that they could only make the orthographical corrections that were needed. …”
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