Two-Phase Optimal Guidance Law considering Impact Angle Constraint with Bearings-Only Measurements by Tianning Wang, Shengjing Tang, Jie Guo, Haoqiang Zhang

“…In the followed attacking phase, an optimal guidance law is integrated with a switching term to satisfy both the impact angle constraint and the field-of-view constraint. …”
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Physical activity as a catalyst for the reintegration of homeless individuals: a qualitative study from Medan and Penang shelters by Husni Thamrin, Paramjit Singh Jamir Singh, Mohd Haizzan Yahaya, Hatta Ridho, Farida Hanim, Izzah Dienillah Saragih, Fatma Wardy Lubis

“…Existing models are outdated, fragmented, and miss long-term reintegration goals. Conclusion: Integrating physical activity into rehabilitation offers a low-cost, transformative approach for social reintegration. …”
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A Causal Model for Surveys of Exploratory Listening and Music Appreciation by Henk Jacobs, Marc Leman, Edith Van Dyck

“…This paper integrates concepts from neurobiology, marketing and musicology to propose a causal model of music appreciation and exploratory listening, using directed acyclic graphs (DAGs) and structural equation models (SEMs). …”
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Space Environmental Effects on Multifunctional Radiation Shielding Materials by Subhayu Sen, John Scott O’Dell, Yongzhe Yan, Lawrence Heilbronn, Haibin Ning, Miria Finckenor, Meghan Carrico, Selvum Pillay

“…Samples were flown on NASA's The Materials International Space Station Experiment (MISSE) platform and their structural, optical, and radiation shielding capabilities were characterized pre and post flight. …”
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Effect of pneumatic dosing mechanism angle on corn seed deposition by William Santiago de Mendonça, Gabriel Ganancini Zimmermann, Samir Paulo Jasper, Eduardo Alves Gracietti

“…Technological advancements, such as electric-pneumatic seed metering and integrated software, have been developed to promote economic and environmental sustainability. …”
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ResNet-SE-CBAM Siamese Networks for Few-Shot and Imbalanced PCB Defect Classification by Chao-Hsiang Hsiao, Huan-Che Su, Yin-Tien Wang, Min-Jie Hsu, Chen-Chien Hsu

“…We propose a Siamese network that integrates Residual blocks, Squeeze and Excitation blocks, and Convolution Block Attention Modules (ResNet-SE-CBAM Siamese network) for feature extraction, optimized through triplet loss for embedding learning. …”
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Improved YOLOv8-Based Algorithm for Citrus Leaf Disease Detection by Zhengbing Zheng, Yibang Zhang, Luchao Sun

“…In view of the small difference between citrus leaf diseases which can lead to false inspection and missed inspection, an improved YOLOv8 citrus leaf disease detection algorithm is proposed. …”
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The MAMBAT framework for acoustic tracking of multiple animals by Pina Gruden, Eva-Marie Nosal, E. Elizabeth Henderson

“…To extract meaningful information from these data, automated tools are required that can cope with multiple sources, missed detections, and false alarms. This paper presents the Multiple-Animal Model-Based Acoustic Tracking (MAMBAT) framework, which integrates model-based localization with Bayesian multi-target tracking to automatically track multiple sound sources using acoustic data from wide baseline arrays. …”
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Study on the Lightweighting Strategy of Target Detection Model with Deep Learning by Junli Hu

“…The residual structure is integrated to solve the problem of VoVNet network degradation to improve network performance. …”
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National-Scale Detection of New Forest Roads in Sentinel-2 Time Series by Øivind Due Trier, Arnt-Børre Salberg

“…Thus, several new nature interventions may have been missed. To address this issue, the timeliness and mapping accuracy were improved by integrating Sentinel-2 satellite imagery for the detection of new roads across Norway. …”
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Pre- and post-amputation healthcare experiences among persons with lower-limb amputations and their relatives: The case of Trinidad and Tobago. by Bephyer Parey, Saleem Varachhia, Hannah Enightoola, Elisabeth Kutscher

“…Thematic analysis revealed five themes related to the experiences of persons with amputations and their relatives within the healthcare system: a) care prior to amputation reflected missed opportunities for prevention; b) hospital circumstances compounded participants' experiences; c) post-amputation services hindered rehabilitation and ability of relatives to provide effective care; d) integrated services could promote wellbeing of persons with amputations and their relatives; and e) advocacy is necessary but complicated. …”
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Prediction of drug target interaction based on under sampling strategy and random forest algorithm. by Feng Chen, Zhigang Zhao, Zheng Ren, Kun Lu, Yang Yu, Wenyan Wang

“…In addition, to balance the number of samples in different categories, a down sampling method NearMiss (NM) which can control the number of samples is used. …”
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Cracking rare disorders: a new minimally invasive RNA-seq protocol by Laurenz De Cock, Erika D’haenens, Lies Vantomme, Lynn Backers, Aude Beyens, Kathleen BM Claes, Griet De Clercq, Robin de Putter, Candy Kumps, Nika Schuermans, Jo Sourbron, Hannes Syryn, Simon Tavernier, Eva Vanbelleghem, Olivier Vanakker, Bart Vandekerckhove, Tim Van Damme, Bert Callewaert, Annelies Dheedene, Sarah Vergult, Björn Menten

“…We propose a flowchart integrating RNA-seq into diagnostic workflows. Overall, our protocol is easily implementable, captures complex splicing events, and enhances variant classification.…”
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Methodology for Commercial Vehicle Mechanical Systems Maintenance: Data-Driven and Deep-Learning-Based Prediction by Romulo Goncalves Lins, Tiago Nascimento de Freitas, Ricardo Gaspar

“…Results on real-world fleet data indicate that BiLSTM achieved higher recall (98.65%) and a lower cost-score than standard LSTM, highlighting its effectiveness in minimizing missed failures. Although BiLSTM incurred slightly higher computational overhead, its superior performance underscores the value of integrating multi-sourced data and advanced sequence models for reliable, actionable PdM in heavy-duty fleets.…”
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Large language models-enabled digital twins for precision medicine in rare gynecological tumors by Jacqueline Lammert, Nicole Pfarr, Leonid Kuligin, Sonja Mathes, Tobias Dreyer, Luise Modersohn, Patrick Metzger, Dyke Ferber, Jakob Nikolas Kather, Daniel Truhn, Lisa Christine Adams, Keno Kyrill Bressem, Sebastian Lange, Kristina Schwamborn, Martin Boeker, Marion Kiechle, Ulrich A. Schatz, Holger Bronger, Maximilian Tschochohei

“…Our proof-of-concept digital twin system integrates clinical and biomarker data from institutional and published cases (n = 21) and literature-derived data (n = 655 publications) to create tailored treatment plans for metastatic uterine carcinosarcoma, identifying options potentially missed by traditional, single-source analysis. …”
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Trajectory Classification Through Topological Data Analysis Perspectives by Miriam Esteve, Antonio Falco

“…By utilizing TDA, we explore the hidden structures in trajectory datasets, offering a fresh perspective on classification methods. Our study integrates TDA into trajectory analysis, highlighting its ability to capture spatial features that conventional methods may miss. …”
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How deep learning identifies and learns aspects of plant for classification by Devi V. Sowmya, Pooja Govu, Ramya Sande, Priya Nakka Vishnu

“…This study achieves a robust solution for plant species identification by integrating advanced algorithms and traditional techniques. …”
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AH-YOLO: An Improved YOLOv8-Based Lightweight Model for Fire Detection in Aircraft Hangars by Li Deng, Zhuoyu Wang, Quanyi Liu

“…First, the MobileOne module is integrated to reduce the network complexity and improve the computational efficiency. …”
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EXPLORING SCIENCE TEACHERS’ TRANSLATION OF NATURE OF SCIENCE (NOS) KNOWLEDGE TO PEDAGOGICAL CONTENT KNOWLEDGE (NOS PCK) by Jasmine Jain, Shu Jin Mok, Yee Ling Lee

“…There is a noticeable gap between teachers' conceptual knowledge of NOS and their PCK implementation. Teachers frequently missed opportunities to integrate key NOS concepts into their lessons and often portrayed scientific methods as fixed procedures while presenting science as static knowledge. …”
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Operationalizing postmortem pathology-MRI association studies in Alzheimer’s disease and related disorders with MRI-guided histology sampling by Chinmayee Athalye, Alejandra Bahena, Pulkit Khandelwal, Sheina Emrani, Winifred Trotman, Lisa M. Levorse, Zahra Khodakarami, Daniel T. Ohm, Eric Teunissen-Bermeo, Noah Capp, Shokufeh Sadaghiani, Sanaz Arezoumandan, Sydney A. Lim, Karthik Prabhakaran, Ranjit Ittyerah, John L. Robinson, Theresa Schuck, Edward B. Lee, M. Dylan Tisdall, Sandhitsu R. Das, David A. Wolk, David J. Irwin, Paul A. Yushkevich

“…However, there are no standardized guidelines for integrating histology and MRI in a traditional brain bank. …”
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