Spatio-Temporal Feature Aware Vision Transformers for Real-Time Unmanned Aerial Vehicle Tracking by Hao Zhang, Hengzhou Ye, Xiaoyu Guo, Xu Zhang, Yao Rong, Shuiwang Li

“…Our experimental results on several challenging benchmark datasets demonstrate that NT-Track surpasses existing lightweight and deep learning trackers in terms of precision and success rate. …”
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Contemporary digital sociology in search of meaning-making models: the proper and the actual. Review on articles from the research handbook of digital sociology edited by J. Skopek... by E. V. Andrianova, V. A. Davydenko, A. I. Rozmanov

“…The first part of this review presents the key ideas of 15 chapters, focusing on the foundational components of social  theory and their connections to the internet in daily life, digital  technologies for surveys and data processing, the significance  of mobile devices, big data, machine learning, agent-based  models of social phenomena, inclusive digital focus groups, social networking sites in professional contexts, online dating, partner selection based on digital information, the use of digital approaches in online markets, the application of YouTube in social sciences, and automated image analysis. …”
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HARNESSING ARTIFICIAL INTELLIGENCE FOR SUSTAINABLE AGRICULTURE: A COMPREHENSIVE REVIEW OF AFRICAN APPLICATIONS IN SPATIAL ANALYSIS AND PRECISION AGRICULTURE by Obasi S.N, Tenebe V. A, Obasi C.C, Jokthan G.E, Adjei E.A, Keyagha E.R

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Effect of neonatal dexamethasone treatment on cognitive abilities of adult male mice and gene expression in the hypothalamus by N. P. Bondar, V. V. Reshetnikov, K. V. Burdeeva, T. I. Merkulova

“…Dexamethasone treatment in early life had a negative impact on the learning and spatial memory of adult mice in the Morris water maze. …”
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Long-term engagement in smoking cessation campaign: A mixed methods randomized trial. by Robert Schwartz, Tracey Borland, Maaz Shahid, Karen Kuzmich, Michael Chaiton

“…The intervention also allows for real-time learning to support campaign development.<h4>Trial registration</h4>ISRCTN94797633.…”
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Exploring the potential of aerial drone imagery to distinguish breeding Adélie (Pygoscelis adeliae), chinstrap (Pygoscelis antarcticus) and gentoo (Pygoscelis papua) penguins in An... by Christian Pfeifer, Stefan Knetsch, Jakob Maercker, Osama Mustafa, Marie-Charlott Rümmler, Alexander Brenning

“…Consequently, these results enable specific flight planning for optimal species discrimination under the given conditions and serve as the basis for future automated mapping of penguin species using machine learning, facilitating early detection of changes.…”
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YOLOv8s-Longan: a lightweight detection method for the longan fruit-picking UAV by Jun Li, Jun Li, Jun Li, Kaixuan Wu, Meiqi Zhang, Hengxu Chen, Hengyi Lin, Yuju Mai, Linlin Shi

“…IntroductionDue to the limited computing power and fast flight speed of the picking of unmanned aerial vehicles (UAVs), it is important to design a quick and accurate detecting algorithm to obtain the fruit position.MethodsThis paper proposes a lightweight deep learning algorithm, named YOLOv8s-Longan, to improve the detection accuracy and reduce the number of model parameters for fruitpicking UAVs. …”
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Using Natural Language Processing Models to Automate Text Labelling: Categorising Semantic Density in Preservice Teachers' Lesson Observation Reports by Thato Senoamadi, Lee Rusznyak, Ritesh Ajoodha

“… Education researchers have long had to choose between studies that provide rich insight into teaching and learning in a particular context and insight into broad patterns revealed from large-scale studies. …”
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Lessons learnt from a scientific peer-review training programme designed to support research capacity and professional development in a global community by Ella August, Tamrat Endale, Julie M Buser, Kirby L Morris, Veronica Millicent Dzomeku, Yolanda R Smith

“…Integrating a geographically diverse group of researchers has the potential to enrich the discussions and learning in such a programme.…”
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Posttraining Alpha Transcranial Alternating Current Stimulation Impairs Motor Consolidation in Elderly People by Jost-Julian Rumpf, Alexandru Barbu, Christopher Fricke, Mirko Wegscheider, Joseph Classen

“…While the early phase of skill acquisition remains relatively unaffected in older adults, posttraining consolidation appears to be selectively impaired by advancing age. Motor learning is associated with posttraining changes of oscillatory alpha and beta neuronal activities in the motor cortex. …”
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“There’s always somebody that you can identify with”: a qualitative study of patient perspectives on buprenorphine group medical visits by Mariya Masyukova, Benjamin T. Hayes, Teresa López-Castro, Aaron D. Fox

“…Conclusions Findings demonstrate that many persons with OUD taking BUP desire assistance with recovery skills, peer support, and learning about the risks and benefits of BUP. Group medical visits can efficiently deliver these services in primary care, but findings also emphasize that group counseling will be best received when voluntary and group members are committed and authentic.…”
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MambaShadowDet: A High-Speed and High-Accuracy Moving Target Shadow Detection Network for Video SAR by Xiaowo Xu, Tianwen Zhang, Xiaoling Zhang, Wensi Zhang, Xiao Ke, Tianjiao Zeng

“…To handle these issues, this paper proposes MambaShadowDet, a novel lightweight deep learning (DL) detector based on a state space model (SSM), dedicated to high-speed and high-accuracy moving target shadow detection in video SAR images. …”
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Image Quality Assessment Based on Multi-Scale Representation and Shifting Transformer by Geng Fu, Ziyu Wang, Cuijuan Zhang, Zerong Qi, Mingzheng Hu, Shujun Fu, Yunfeng Zhang

“…The outstanding performance demonstrates that Swin-MIQ possesses robust learning and generalization capabilities across all referenced distorted databases.…”
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Professional context of teaching reading to foreign economics students by Olena Titarenko, O. Kopylova

“…However, the initial level of text comprehension among students at the onset of the main stage of learning is insufficient to effectively support the educational process in Ukrainian higher education institutions within their chosen specialties. …”
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LitSpatz: An App for Literary Walks to Promote and Record Primary Students' Text Comprehension, Perspective Taking and Related Skills by Nora Heyne, Maximilian Pfost, Peter Kuntner

“… • App enables primary students to participate in (virtual) literary walks to achieve learning goals in listening and reading. • Preliminary results on students' text comprehension, related skills and enjoyment in using the app in classrooms. …”
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Analyzing CLIL Studies in Primary Education: Bibliometric analysis by Lazzat Yegizbayeva, Wilfried Admiraal, Makpal Zhazykova, Altyngul Mustoyapova, Almagul Akiyeva, Bakitgul Nurseitova, Asem Saimagambetova

“… Content and Language Integrated Learning (CLIL) holds a pivotal role in fostering   English vocabulary acquisition among primary school students across various subjects. …”
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A Differential Evolution-Oriented Pruning Neural Network Model for Bankruptcy Prediction by Yajiao Tang, Junkai Ji, Yulin Zhu, Shangce Gao, Zheng Tang, Yuki Todo

“…The EPNN possesses a dynamic dendritic structure that is trained by a global optimization learning algorithm: the Adaptive Differential Evolution algorithm with Optional External Archive (JADE). …”
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Time-resolved spectroscopy uncovers deprotonation-induced reconstruction in oxygen-evolution NiFe-based (oxy)hydroxides by Dan Wu, Longfei Hu, Xiaokang Liu, Tong Liu, Xiangyu Zhu, Qiquan Luo, Huijuan Zhang, Linlin Cao, Jinlong Yang, Zheng Jiang, Tao Yao

“…In this study, utilizing in situ energy-dispersive X-ray absorption spectroscopy and machine learning analysis, we reveal the occurrence of deprotonation and elucidate the role of incorporated iron in facilitating the transition from nickel-iron layered double hydroxide (NiFe LDH) into its active oxyhydroxide. …”
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Optimization of Fused Deposition Modeling Parameters for Mechanical Properties of Polylactic Acid Parts Based on Kriging and Cuckoo Search by Yuan Yang, Yiyang Wang, Bowen Xue, Changxu Wang, Bo Yang

“…Secondly, a Kriging-based prediction model for mechanical properties was constructed by learning sample data, and the nonlinear mapping relationship between process parameters and tensile strength was obtained. …”
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Fault Diagnosis of Variable Load Bearing Based on Quantum Chaotic Fruit Fly VMD and Variational RVM by Bo Xu, Huipeng Li, Fengxing Zhou, Baokang Yan, Yi Liu, Yajie Ma

“…The two-dimensional MSE of each intrinsic modal component is used as a learning sample for VRVM. Finally, the bearing fault data under 1 hp load are taken as training samples, and the bearing fault data under two loads of 0 hp and 3 hp are used as test samples to verify the effectiveness of the intelligent diagnosis model. …”
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