Harnessing loblolly pine (Pinus taeda L.) for sustainable biofuels and bioenergy: A review of biomass feedstock potential, conversion technologies, and forest management in the US by Chioma Edwina Ogbuka, Pradip Saud, Marco Yáñez, Rajan Parajuli, Sagar Godar Chhetri, Matthew Pelkki

“…Promoting timber production and biomass feedstock for sustainable biofuels and bioenergy requires the proper selection of species and sustainable management practices. Loblolly pine (Pinus taeda L.), the most widely planted commercial species in the U.S., provides high-quality wood for the industry and lignocellulosic biomass for renewable energy. …”
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The Role of Sustainable Design in Interior Spaces for Kindergartens by Halla Hameed Salih, Raja Saadi Lafta

“…Interior design, incorporating new and contrasting concepts, is a crucial issue for designers and developers, especially with emerging challenges in the vast practical and technical advancements influencing design content and spatial arrangements. …”
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Using of Out Budget Financial Resources in University Libraries and Proposal for an Alternative Financing Model in Turkey by Mesut Kurulgan, Fatih Temizel

“…Reaching a very high speed in information production necessitates important development in its storing and retrieval to present it to users. Advancement of technology has not only provided new opportunities but has also generated new demand in these fields. …”
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Entre contrôle et spontanéité by Alexis Dambry, Marine Fauché, David Lucot

“…Despite the ecological functions provided by spontaneous flora, these species continue to be perceived and managed as undesirable “weeds”, reflecting persistent historical legacies of hygienism, aesthetic norms, and rationalized planning. …”
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Key factors facilitating homestay success: a focus on cultural and natural values by Rumpapak Luekveerawattana

“…By aligning efforts, stakeholders can offer authentic and immersive experiences. This study helps advance rural tourism by identifying key determinants and emphasising responsible industry practices.…”
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Enhanced pre-recruitment framework for clinical trial questionnaires through the integration of large language models and knowledge graphs by Chen Zihang, Liu Liang, Su Qianmin, Cheng Gaoyi, Huang Jihan, Li Ying

“…This issue has impeded advancements in medical research. However, recent years have seen the evolution of knowledge graphs and the introduction of large language models (LLMs), providing innovative approaches for the pre-screening and recruitment phases of clinical trials. …”
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Research on the application of a model combining improved optimization algorithms and neural networks in trajectory tracking of robotic arms by Yanhui Lai, Zuobing Chen, Ya Mao

“…These advantages suggest that the MMGO has broader applicability and higher reliability in practical applications. This research provides theoretical insights into the MMGO's application and lays the foundation for advancements in robotic arm trajectory tracking control. …”
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The role of leadership in sustainable digital transformation of the organization by Dharmendra Hariyani, Poonam Hariyani, Sanjeev Mishra

“…Moreover, the study identifies persistent challenges such as legacy systems, skills gaps, and fragmented governance, and proposes evidence-based leadership strategies to overcome these barriers. The review also provides a synthesized framework that maps leadership roles to specific SDG targets, offering a practical lens for aligning digital initiatives with global sustainability objectives. …”
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The biological activities of Citrus species in crop protection by Marta Lo Vetere, Valeria Iobbi, Anna Paola Lanteri, Andrea Minuto, Giovanni Minuto, Nunziatina De Tommasi, Angela Bisio

“…As research continues to explore their full potential, Citrus waste is poised to play a crucial role in advancing sustainable and resilient agricultural practices.…”
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Electrochemical Behavior and Reclamation of Beryllium Scrap in Molten Salt by Yuzhen Chen, Shaolong Li, Zepeng Lv, Wen Luo, Peng Qiao, Dongxin Wang, Jilin He, Jianxun Song

“…The effects of current density on beryllium deposition morphology and removal efficiency have been further investigated. This research provides a novel approach to beryllium scrap purification, contributing significantly to the optimization of the beryllium supply chain and offering valuable insights into sustainable metal refinement practices.…”
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Some Notions of Hesitant Fuzzy Linguistic Graphs with Application in Decision Making by Shahzad Faizi, Atiq ur Rehman, Ali Hasan Ali, Kokab Javed, Toufik Mzili

“…This model leverages graphical representation to present hesitant fuzzy linguistic values (HFLVs), providing decision-makers with an intuitive framework conducive to informed decision-making. …”
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Upscaling of thermoacoustic-Stirling duplex cryocoolers based on resonance tube coupling by Liping Wei, Haojie Sun, Hangyu Ma, Guoyao Yu, Shunmin Zhu, Wei Dai, Ercang Luo

“…Compared to prior studies, which reported no cooling power at 110 K, this represents a substantial advancement in TSDC scalability. Comparative analysis of experimental and theoretical results suggests that asymmetric flow at the compression junction adversely affects efficiency, providing valuable insights for further optimization.…”
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Establishment of regularized cryopreserved red blood cell banks in blood collection and supply institutions by LIN Huayu, ZHUANG Yuan, YU Yang

“…Future advancements should prioritize glycerol-free washing-free cryopreservation technologies, post-thaw extended preservation additive formulations, and intelligent thawing equipment to overcome throughput and spatiotemporal constraints, thereby providing robust technical support for building a regularized cryopreserved RBC bank and enhancing the efficiency of China's blood security framework.…”
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A novel human-centred approach using Axiomatic Design and Kansei engineering for designing physically and cognitively safe human-robot collaborative workstations by A. Bonello, C.A Brown, E. Francalanza, M.V. Gauci, P. Refalo

“…The approach is demonstrated through a case-study workstation, visually illustrating the relationship between functional and physical metrics. This study advances the field by providing a novel replicable, human-centred approach that unites cognitive and physical ergonomics,bridging theory and practical application for both academic and industrial contexts.…”
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Comparing factor mixture modeling and conditional Gaussian mixture variational autoencoders for cognitive profile clustering by Matteo Orsoni, Sara Giovagnoli, Sara Garofalo, Noemi Mazzoni, Matilde Spinoso, Mariagrazia Benassi

“…Other clusters displayed diverse profiles, ranging from subtle domain-specific strengths to atypical profiles characterized by significant deficits balanced by compensatory abilities.DiscussionThese findings highlight a trade-off between the methodologies. FMM provides clear, interpretable groupings suitable for broad classification purposes. …”
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Modeling efficient fractal features to simulate the impact of porosity and viscosity on fluid interfacial stability by Yusry O El-Dib

“…These findings not only enhance our theoretical understanding but also pave the way for practical advancements in applications involving ferrofluid stability in porous media, emphasizing the transformative potential of fractal theory in fluid dynamics.…”
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Funding and governance dynamics in sustainable planning for tourism: Insights from the republic of Ireland by Emmet Mcloughlin, James Hanrahan

“…Methodology/Design/Approach – The research employs qualitative semi-structured interviews with senior planners from all 28 Local Authorities in the Republic of Ireland. This method provides in-depth insights into their perspectives on the interplay between funding, governance, and sustainable tourism planning. …”
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Identification of right ventricular dysfunction with LogNNet based diagnostic model: A comparative study with supervised ML algorithms by Mehmet Tahir Huyut, Andrei Velichko, Maksim Belyaev, Yuriy Izotov, Şebnem Karaoğlanoğlu, Bünyamin Sertoğullarından, Sıddık Keskin, Dmitry Korzun

“…LogNNet achieved robust results with only a few selected features, making it suitable for applications in resource-limited environments. LogNNet provides a practical and accessible tool for early RVD detection using PE patient data and has been shown to support applications in healthcare innovations aimed at improving patient outcomes and resilience in edge devices, clinical decision support systems, and challenging environments. …”
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An efficient battery management system for electric vehicles using IoT & Blockchain by K Sujit, Komala Chowdenahally Ramaswamy, Siva Ramkumar Mathiyalagan, Jayant Giri, Mohammad Kanan

“…The results demonstrate that the research model provided enhanced EV-BMS with an accuracy rate of 96.52 % and that it retains a communication overhead that is 12 % lower compared to the other models.…”
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From Neural Networks to Emotional Networks: A Systematic Review of EEG-Based Emotion Recognition in Cognitive Neuroscience and Real-World Applications by Evgenia Gkintoni, Anthimos Aroutzidis, Hera Antonopoulou, Constantinos Halkiopoulos

“…Key signal processing techniques used during this process include spectral features, connectivity analysis, and frontal asymmetry detection, which helped enhance the performance of recognition. Despite these advances, challenges remain more significant in real-time EEG processing, where a trade-off between accuracy and computational efficiency limits practical implementation. …”
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