Application of Signal Processing Techniques to the Vibration Analysis of a 3-DoF Structure Under Multiple Excitation Scenarios by Leidy Esperanza Pamplona Berón, Marco Claudio De Simone, Domenico Guida

“…Each method provides valuable insights into frequency and time-frequency domain analysis. …”
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Preparation of hybrid light-emitting diodes (OI-LED) based on  Carbon Nanoparticles by Hussein Riyadh Mohammed, Asama N. Naje

“…The manufacturing procedure included the application of the spin coating method and phase segregation technique, resulting in a thin film structure: (ITO/TFB/CNp/Alq3/AL). …”
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Enhancing semi‐supervised contrastive learning through saliency map for diabetic retinopathy grading by Jiacheng Zhang, Rong Jin, Wenqiang Liu

“…An innovative semi‐supervised fundus image DR grading framework is proposed, employing a saliency estimation map to bolster the model's perception of fundus structures, thereby improving the differentiation between lesions and healthy regions. By integrating semi‐supervised and contrastive learning, the model's ability to recognise inter‐class and intra‐class variations in DR grading is enhanced, allowing for precise discrimination of various lesion features. …”
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Rainfall, air temperature, and reference evapotranspiration variability and trend and their implication for agroforestry development in the Lake Tana sub-basin of Ethiopia by Antensay Mekoya, Abebe Tesfaye, Daniel Asfaw Bekele

“…ET₀ was estimated using the FAO56 Penman–Monteith method, and statistical tools such as linear regression, coefficient of variation, and standardized rainfall anomaly were applied. …”
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Automated Dead Chicken Detection in Poultry Farms Using Knowledge Distillation and Vision Transformers by Ridip Khanal, Wenqin Wu, Joonwhoan Lee

“…Future work will explore integrating deep learning methods that incorporate temporal attention mechanisms and automated removal processes.…”
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Islamic Family Law Reform in Indonesia Through Supreme Court Circulars: A Maqasid Sharia Perspective by Fauzan Arrasyid, Pagar Pagar, Dhiauddin Tanjung

“…This research uses a mixed-method approach, employing both statutory and conceptual approaches. …”
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LQ-MixerNeT: A CNN-Transformer Deep Fusion-Based Model for Object Detection in Optical Remote Sensing Images by Wenxuan Zheng, Ying Yang

“…The core innovation lies in the DMIR-Fusion feature integrator, which integrates two key components: the DMI-DWConv Module and the ReLU Linear Attention (RLA) mechanism. …”
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Biomonitoring 2.0 Refined: observing local change through metaphylogeography using a community-based eDNA metabarcoding monitoring network by Andrew C. Riley, Michael Wright, Teresita M. Porter, V. Carley Maitland, Donald J. Baird, Mehrdad Hajibabaei

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Comparative study of imputation strategies to improve the sarcopenia prediction task by Shakhzod Karimov, Dilmurod Turimov, Wooseong Kim, Jiyoun Kim

“…Results The results revealed substantial variations in model accuracy based on the imputation method employed. …”
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Development of a Model Supporting the Analysis of Costs Related to Equipment Relocation in a Manufacturing Facility by Ostowska Weronika, Stryhunivska Olena

“…To assist in decision-making and prioritization, the model applies the ABC classification method, grouping activities based on their financial impact. …”
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Measurement of inferior colliculus volume based on MRI image stacks and its relationship with age and hearing status. by Pingling Kwok, Otto Gleich, Peter Koch, Gudrun Schenkl, Nina Koch, Christopher Bohr

“…The inferior colliculus is a key nucleus in the central auditory pathway, integrating acoustic stimuli from both cochleae and playing a crucial role in sound localization. …”
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The application of CBL and mind mapping combined with Mini-CEX teaching mode in the cultivation of clinical competence of ultrasound residents. by Rong Liu, Lei Li, Ying Zhou, Lu Xiong

“…<h4>Results</h4>The training approach that integrated Mini-CEX with CBL and mind mapping demonstrated significantly superior outcomes compared to the traditional training method regarding theoretical and practical performance, as well as teaching satisfaction, with statistically significant differences noted (p < 0.05). …”
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PSO Tuned Super-Twisting Sliding Mode Controller for Trajectory Tracking Control of an Articulated Robot by Zewdalem Abebaw Ayinalem, Abrham Tadesse Kassie

“…This paper introduces a novel method that integrates SolidWorks modeling to create precise digital representations of the robot’s mechanical structure, facilitating easier development and simulation of control algorithms. …”
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Spatiotemporal investigation into water, land, energy, and carbon footprints of broiler and correlations among them in China by Ya-wen Li

“…However, a simultaneous water, land, energy and carbon footprints evaluation is insufficient. Here, we used an integrated environmental footprint method based on life cycle approach to build a water-land-energy-carbon footprint model on the broiler breeding with the stages of feed crop planting, feed processing, transportation, and on-farm farming. …”
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Optimal multi-objective energy management of decentralized demand response incorporating uncertainties. by Alireza Norouzpour Shahrbejari, Mohammad Hadi Eskandari Sani, Mehdi Zareian Jahromi, Elnaz Yaghoubi, Elaheh Yaghoubi, Mohammad Reza Maghami

“…This paper proposes a novel method for optimizing energy consumption in power networks by integrating stochastic techniques to manage uncertainties and variable conditions. …”
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Longitudinal Joint Modelling of Binary and Continuous Outcomes: A Comparison of Bridge and Normal Distributions by Payam Amini, Geert Verbeke, Farid Zayeri, Hossein Mahjub, Saman Maroufizadeh, Abbas Moghimbeigi

“… Background: Longitudinal joint models consider the variation caused by repeated measurements over time as well as the association among the response variables. …”
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Model reference adaptive system and pseudo-sliding mode control with exponential reaching law for sensorless-speed control of PMSM. by Djaloul Karboua, Toufik Mebkhouta, Said Benkaihoul, Youcef Chouiha, Belgacem Toual, Zuhair A Alqarni, Ahmad F Tazay, Mohamed I Mosaad

“…The MRAS is implemented as a robust sensorless observation method that efficiently handles uncertainties, adapts to dynamic conditions, and aims to achieve dependable performance by having the controlled system mimic a reference model. …”
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RQPool: A Novel Multi-Branch Graph-Level Anomaly Detection by Aaron Alex Philip, Ziad Kobti

“…To address these challenges, we propose a novel hybrid method, RQPool, which integrates intra-graph spectral properties and inter-graph spatial properties into a unified Graph-level Anomaly Detection classifier. …”
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Noise-Adaptive SOGI–HOSM Observer for Sensorless Speed Control of Induction Machines by Kobena Badu Enyam, Desmond Hammond, Francis Boafo Effah, Lily Akosua Kyei-Baffour, Benecentia Mafo-Kwofie

“…Simulation results demonstrate that the proposed method achieves superior state estimation accuracy and stability compared to conventional super-twisting and baseline SOGI–HOSM observers, even under significant noise and parameter variations. …”
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Large-scale genomic analysis reveals significant role of insertion sequences in antimicrobial resistance of Acinetobacter baumannii by Fei Xie, Lifeng Wang, Song Li, Long Hu, Yanhua Wen, Xuming Li, Kun Ye, Zhimei Duan, Qi Wang, Yuanlin Guan, Ye Zhang, Qiqi Shi, Jiyong Yang, Han Xia, Lixin Xie

“…Our study advances this approach by integrating both rule-based and machine learning models to predict AMR in A. baumannii. …”
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