Intersections between Ubuntu and Social Work in Humanitarian Settings in Uganda by Lambert Buzaare, Martha Nababi, James Thomas Ssenfuuma, Paul Bukuluki

“… Understanding the context and complexities of humanitarian settings and the intersections between Ubuntu and social work is crucial, yet it has not received considerable attention in Africa. …”
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Exploring the Complex Heliotail Boundary by an Extended Level Set Approach by C. Onubogu, M. Opher, M. Kornbleuth, G. Tóth, V. Florinski

“…The level set function, f _HP , is defined by boundary conditions, having a value of +1 at the inner boundary and −1 at the outer boundary. …”
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Study on the Interface Reinforcement Effect of Bamboo Grid in Filled Loess Embankment in a High and Steep Gully by Guozhou Chen, Haodong Tian, Zibo Du, Jingwei Zhang, Yuancheng Guo, Julong Wang

“…In this study, the reinforcement effect of the bamboo grid that is only set at the interface between the filled and undisturbed soils of the filled loess embankment in a high and steep gully was investigated. …”
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Tectonometamorphic evolution of a subduction plate interface at the base of the Mirdita Ophiolite (Bajram Curri, northeastern Albania) by Madeline Richter, Kilian Pollok, Kujtim Onuzi, Kamil Ustaszewski

“…The assembly of obducted mantle rocks and metamorphic sole constitutes a plate interface that formed during the intraoceanic subduction stage preceding obduction; we call this a fossil intraoceanic plate interface in this paper. …”
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Screening and Grading of Textural Interface Opacities in DSAEK Grafts with the M-TIO Scale for Predicting Visual Outcomes by Marina S. Chatzea, George D. Kymionis, Dionysios G. Vakalopoulos, Robert C. O’Brien, Daniella Mora, Katrina Llanes, Elizabeth Fout, William Buras, Concetta Triglia, Rahul S. Tonk, Sonia H. Yoo

“…<b>Background</b>: Textural Interface Opacities (TIOs) following Descemet’s Stripping Automated Endothelial Keratoplasty (DSAEK) have become a notable postoperative concern. …”
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Noninvasive prediction of meningioma brain invasion via multiparametric MRI⁃based brain⁃tumor interface radiomics by CHENG Xing, WANG Zhi⁃chao, LI Hua⁃ning, WANG Xie⁃feng, YOU Yong⁃ping

“…Using stratified random sampling, patients were randomly divided in a 4∶1 ratio into training set (524 cases) and testing set (132 cases). The training set was used for model construction and optimization, and the testing set for evaluating generalization ability. …”
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A CART-Based Model for Analyzing the Shear Behaviors of Frozen–Thawed Silty Clay and Structure Interface by Fengpan Zhu, Bo Wang, Zhiqiang Liu

“…Through cross-validation, the model’s optimal hyperparameters were determined on the training set, and its performance was then verified on the test set. …”
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A Simple Estimation of Coupling Loss Factors for Two Flexible Subsystems Connected via Discrete Interfaces by Jun Zhang, Lin Ji, Zhenyu Huang, Pingping Zhang, Wei Wang

“…A simple formula is proposed to estimate the Statistical Energy Analysis (SEA) coupling loss factors (CLFs) for two flexible subsystems connected via discrete interfaces. First, the dynamic interactions between two discretely connected subsystems are described as a set of intermodal coupling stiffness terms. …”
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The Melt–Crystal Interface in the Production of Monocrystalline Sapphire via Heat Exchanger Method—Numerical Simulation Aspects by Werner Eßl, Georg Reiss, Raluca Andreea Trasca, Masoud Sistaninia, Peter Raninger, Sina Lohrasbi

“…While most of the m-c interface as well as the temperature distribution remain practically unchanged at reasonable resolutions, a high sensitivity of the m-c interface in the near-wall region is demonstrated. …”
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DIY Interface for Enhanced Service Customization of Remote IoT Devices: A CoAP Based Prototype by Muhammad Sohail Khan, DoHyeun Kim

“…This paper presents the novel implementation of such a system enabling general public to customize the behavior of remote IoT devices through a visual interface. The interface enables the visualization of the resources exposed by a remote CoAP device in the form of graphical virtual objects. …”
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Interface preassembly oriented growth strategy towards flexible crystalline covalent organic framework films for OLEDs by Xiang-Chun Li, Hao Sun, Zuqiang Wang, Weijie Yang, Qiaoyu Wang, Chuanrui Wu, Jiajun Chen, Qinchen Jiang, Ling-Jun He, Qian Xue, Wei Huang, Wen-Yong Lai

“…By synergistically modulating hydrophilic and hydrophobic interactions along with interfacial confinement, a set of uniform and flexible crystalline COF films were successfully synthesized. …”
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There’s (not) an App for that: situating smartphones, Excel and the techno-political interfaces and infrastructures of digital solutions for COVID-19 by Luke Heemsbergen, Catherine Bennett, Monique Mann

“…The paper offers new insights to pandemic politics by shifting questions from digital contact tracing and pandemic surveillance interfaces to understanding CTA as infrastructures of public health. …”
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Motor Imagery Classification for Brain Computer Interface Using Deep Convolutional Neural Networks and Mixup Augmentation by Haider Alwasiti, Mohd Zuki Yusoff

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Leveraging the Power of Zero-Shot Learning for Malware Detection Using Application Programming Interface Call Sequences by P. Meena, K. P. Rama Prabha

“…Malware developers often utilize Application Programming Interface (API) calls to carry out these attacks. Recently, the use of Deep Learning (DL) has emerged as a possible solution for recognizing malware from these API calls. …”
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Smart interfaces to assist the operator in the context of industry 4.0 with a 5S human-centric approach by Mario Rojas, Javier Maldonado-Romo, Juana Isabel Mendez, Pedro Ponce, Arturo Molina

“…Future research should focus on customization, AI-driven adaptability, sustainability, real-world scalability, and comprehensive impact assessment to further develop smart interfaces in industrial settings. This integration represents a transformative opportunity to enhance workplace safety, skills development, and contribute to global sustainable development goals.…”
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Characterizing changes in the rate of protein-protein dissociation upon interface mutation using hotspot energy and organization. by Rudi Agius, Mieczyslaw Torchala, Iain H Moal, Juan Fernández-Recio, Paul A Bates

“…From these scans, we design a set of descriptors that capture the change in hotspot energy and distribution. …”
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Gas Transfer Across Air‐Water Interfaces in Inland Waters: From Micro‐Eddies to Super‐Statistics by Gabriel Katul, Andrew Bragg, Ivan Mammarella, Heping Liu, Qi Li, Elie Bou‐Zeid

“…The micro‐eddy surface renewal model predicts kL‾=αoSc−1/2νϵ‾1/4, where Sc is the molecular Schmidt number, ν is the water kinematic viscosity, and ϵ‾ is the waterside mean turbulent kinetic energy dissipation rate at or near the interface. While αo=0.39−0.46 has been reported across a number of data sets, others report large scatter or variability around this value range. …”
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StatModPredict: A user-friendly R-Shiny interface for fitting and forecasting with statistical models. by Amanda Bleichrodt, Amelia Phan, Ruiyan Luo, Alexander Kirpich, Gerardo Chowell

“…After loading an incident time series data set into the interface, users can easily customize model parameters and forecasting options to obtain the desired output. …”
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TriNet: A Hybrid Feature Integration Approach for Motor Imagery Classification in Brain-Computer Interface by Hafza Faiza Abbasi, Muhammad Ahmed Abbasi, Shen Jianbo, Xiang Liping, Xiaojun Yu

“…Brain-computer interface (BCI) is inevitably a promising technology holding the potential to revolutionize the world with its wide range of applications. …”
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STEME: a robust, accurate motif finder for large data sets. by John E Reid, Lorenz Wernisch

“…STEME's source code is available under an open source license and STEME is available via a web interface.…”
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