Strategies to Improve School-Based Support Towards Access and Success of Rural Learners by Adziliwi Martha Netshipale, Lloyd Daniel Nkoli Tlale, Thembi AL Phala

“…The findings revealed that three out of five schools did not have functional school-based support teams in place and conducted unstructured and disorganised support services in silos. …”
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A Machine Learning-Based Risk Prediction Model During Pregnancy in Low-Resource Settings by Kapil Tomar, Chandra Mani Sharma, Tanisha Prasad, Vijayaraghavan M. Chariar

“…Machine Learning (ML) techniques have the potential to predict the probable risk factors for timely interventions; however, challenge arises when the data are limited and unstructured. The Decision Tree (DT), Naive Bayes (NB), Logistic Regression (LR), Support Vector Machine (SVM), K-Nearest Neighbors (KNN), and Linear Discriminant Analysis (LDA) algorithms, with 10-fold cross validation, are used in this study. …”
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Balance Control Method for Bipedal Wheel-Legged Robots Based on Friction Feedforward Linear Quadratic Regulator by Aimin Zhang, Renyi Zhou, Tie Zhang, Jingfu Zheng, Shouyan Chen

“…A constant-speed excitation trajectory is designed to gather data for friction identification, and the Particle Swarm Optimization (PSO) algorithm is applied to determine the optimal friction parameters. …”
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LC–MS/MS-guided discovery of japonamides C and D, two new cyclohexadepsipeptides, from the Nicotiana tabacum-derived endophytic fungus Aspergillus japonicus TE-739D by Haisu Wang, Xianwei Hao, Chen Dong, Xiaolong Yuan, Peng Zhang, Gan Gu

“…In this study, chemical investigations using LC–MS/MS-based molecular networking on the endophytic fungus Aspergillus japonicus TE-739D led to the discovery of two new cyclohexadepsipeptides, namely japonamides C (1) and D (2), along with three known cyclodipeptides (3–5). Their structures, including the absolute configurations of the amino acid residues, were elucidated through spectroscopic data analysis and an optimized Marfey’s method. …”
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Spatial Analysis of Urban Historic Landscapes Based on Semiautomatic Point Cloud Classification with RandLA-Net Model—Taking the Ancient City of Fangzhou in Huangling County as an... by Jiaxuan Wang, Yixi Gu, Xinyi Su, Li Ran, Kaili Zhang

“…Key findings reveal: (1) Modern buildings’ abnormal elevation in steep slopes disrupts the plateau–city visual corridor; (2) Statistical analysis shows significant morphological disparities between historical and modern streets; (3) Modern structures exceed traditional height limits, while divergent roof slopes aggravate aesthetic fragmentation. …”
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The Problem of Permafrost Degradation and Development of Geocryological Science in Yakutia in the Twentieth Century by Alexander A. Suleymanov, Aytalina R. Fedorova, Svyatoslav I. Fedorov, Dmitry A. Aprosimov

“…In case of urban settlements, corresponding cases were associated with either initial design defects (buildings and structures) or insufficient consideration of the permafrost factor (during the latter’s operation). …”
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LarynxFormer: a transformer-based framework for processing and segmenting laryngeal images by Rune Mæstad, Abdul Hanan, Haakon Kristian Kvidaland, Haakon Kristian Kvidaland, Hege Clemm, Hege Clemm, Reza Arghandeh

“…Several studies have proposed machine learning methods for segmenting laryngeal structures to automate and make diagnostic outcomes more objective. …”
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DLTM: a deep learning method for tearing mode simulation and prediction by Zhipeng Chang, Baofeng Gao, Ruijie Yin, Xiaofei Zhao

“…Through appropriate training strategies and network structures, we can enhance simulation accuracy and prediction reliability, offering faster and more reliable results compared to traditional methods. …”
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Segmentation and Classification of Skin Cancer Diseases Based on Deep Learning: Challenges and Future Directions by Abdulrahman Dira Khalaf, Hazlina Hamdan, Alfian Abdul Halin, Noridayu Manshor

“…However, interpreting these images can be challenging due to overlapping structures and varying image quality. This study explores the application of DL in skin cancer diagnosis, focusing on advances in image segmentation and classification. …”
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Experimental Study on Ignition and Pressure-Gain Achievement in Low-Vacuum Conditions for a Pulsed Detonation Combustor by Andrei Vlad Cojocea, Mihnea Gall, George Ionuț Vrabie, Tudor Cuciuc, Ionuț Porumbel, Gabriel Ursescu, Daniel Eugeniu Crunţeanu

“…Additionally, the Schlieren visualization technique is employed to analyze and interpret the flow structures of the exhaust jet. The combination of these experimental methods enables a comprehensive understanding of the ignition dynamics and the development of shock waves, contributing valuable data to advance PGC technology for space-exploration applications.…”
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Algorithm of investigation of disorders of the rectum obturator apparatus in functional incompetence of anal sphincter by O. Yu. Fomenko, L. F. Podmarenkova, A. Yu. Titov, Ye. A. Ryzhov, D. V. Alyoshin, Ye. A. Okulov, A. P. Ternavsky

“…Original study is based on data of the functional studies of 125 patients without organic changes of muscular structures of rectum obturator apparatus (ROA), investigated in SSC of coloproctology within 2001–2008. …”
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Prevalence of transcription promoters within archaeal operons and coding sequences by Tie Koide, David J Reiss, J Christopher Bare, Wyming Lee Pang, Marc T Facciotti, Amy K Schmid, Min Pan, Bruz Marzolf, Phu T Van, Fang‐Yin Lo, Abhishek Pratap, Eric W Deutsch, Amelia Peterson, Dan Martin, Nitin S Baliga

“…Here, we have investigated the prevalence of alternate regulatory mechanisms through genome‐wide characterization of transcript structures of ∼64% of all genes, including putative non‐coding RNAs in Halobacterium salinarum NRC‐1. …”
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Application of a Ground-Penetrating Radar in the Characterization of the Archaeological Environment of Site GO-JA-02, Serranópolis-GO: A Non-Invasive Approach for Archaeological Ex... by Isabela Resende Almeida, Welitom Rodrigues Borges, Julio Cezar Rubin de Rubin, Rafael Espindola Canata, Rosiclér Theodoro da Silva, Jordana Batista Barbosa

“…Thus, this study proposed the application of a ground-penetrating radar to locate buried archaeological structures. Using a 400 MHz shielded antenna, the 2D data revealed distinct reflection patterns associated with subsurface elements such as rock blocks, roots, and rock surfaces, which were correlated with the anomalies observed in the depth slices of the generated pseudo-3D block. …”
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Evaluation of train-induced vibrations in medium-to-high speed railways: a parametric study by Xiao Guo, Decang Tian, Jinglin Sun, Dongfeng Zhang, Yahang Liu, Jinfeng Zhang, Jinfeng Zhang

“…This study specifically conducted an assessment of the vibrations experienced by various railway structures (subgrade, viaduct, and tunnel) at varying train speeds. …”
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The impact of social complexity on the efficacy of natural selection in termites by Roux, Camille, Ha, Alice, Weyna, Arthur, Lode, Morgan, Romiguier, Jonathan

“…This study contributes to understanding the complex interplay between social structures and natural selection patterns, highlighting the genetic footprint of eusociality in shaping the evolution of termites.…”
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Artificial intelligence and 3D subsurface interpretation for bright spot and channel detections by Yasir Bashir, Muhammad Afiq Aiman Bin Zahari, Abdullah Karaman, Doğa Doğan, Zeynep Döner, Ali Mohammadi, Syed Haroon Ali

“…Seismic interpretation is primarily concerned with accurately characterizing underground geological structures & lithology and identifying hydrocarbon-containing rocks. …”
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Novel In Silico Strategies to Model the In Vivo Nerve Scarring Around Implanted Parylene C Devices by Pier Nicola Sergi, Jaume del Valle, Thomas Stieglitz, Xavier Navarro, Silvestro Micera

“…As a consequence, the in silico modelling of scar capsule evolution may lead to improvements in the design of intraneural structures and enhancing their reliability over time. …”
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Bend Faulting at the Edge of a Flat Slab: The 2017 Mw7.1 Puebla‐Morelos, Mexico Earthquake by Diego Melgar, Xyoli Pérez‐Campos, Leonardo Ramirez‐Guzman, Zack Spica, Victor Hugo Espíndola, William C. Hammond, Enrique Cabral‐Cano

“…We hypothesize that large bending‐related events at the edge of the flat slab are more likely in areas of low misalignment between the seafloor fabric and the slab strike where reactivation of preexisting structures is favored. This hypothesis predicts decreased likelihood of bending‐related events northwest of the 2017 source region but also suggests that they should be more likely southeast of the 2017 source region.…”
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Enhancing behavioral skills of Iranian health volunteers during disasters: An IMB model intervention by Fereshteh Amini, Fatteme Raiisi, Alireza Hidarnia, Somayeh Molaee

“…Accordingly, the motivation, behavioral skill, and information structures of the Information-Motivation-Behavioral Skills (IMB) model were developed.Conclusion: The primary components of the IMB model were effective in categorizing the needs of health volunteers to enhance their behavioral skills.…”
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Recent advances in MXene-based materials for high-performance metal-air batteries by Ababay Ketema Worku, Molla Asmare Alemu, Delele Worku Ayele, Muluken Zegeye Getie, Minbale Admas Teshager

“…In this review, we began by thoroughly summarizing the structures, characteristics, and production methods of materials based on MXenes. …”
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