Unraveling the Impact of Microplastic–Tetracycline Composite Pollution on the Moon Jellyfish <i>Aurelia aurita</i>: Insights from Its Microbiome by Xuandong Wu, Hongze Liao, Xiaoyong Zhang, Zhenhua Ma, Zhilu Fu

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Physiochemical synthesis of hydroxyapatite adsorbents from chicken and camel bone waste for removing Cd and Pb ions from polluted water by M. Nageeb Rashed, A. A. Moneam Gad, N. Magdy Fathy

“…Abstract The utilization of waste resources to synthesize functional materials is crucial for achieving environmentally sustainable development. …”
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Near-infrared light and tumor microenvironment dual responsive size-switchable nanocapsules for multimodal tumor theranostics by Zhiyi Wang, Yanmin Ju, Zeeshan Ali, Hui Yin, Fugeng Sheng, Jian Lin, Baodui Wang, Yanglong Hou

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Does the chronic care model meet the emerging needs of people living with multimorbidity? A systematic review and thematic synthesis. by Kasey R Boehmer, Abd Moain Abu Dabrh, Michael R Gionfriddo, Patricia Erwin, Victor M Montori

“…Few implementations aimed at improving functional status or quality of life, and only one-third of studies were targeted for patients of low socioeconomic status.…”
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Many-body quantum dynamics with MCTDH-X by Paolo Molignini, Sunayana Dutta, Elke Fasshauer

“…They serve as a comprehensive guide for understanding and utilizing the MCTDH-X software for both bosonic and fermionic systems. …”
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CRISPR-Cas- and Aptamer-based Systems for Diagnosing Pathogens: A Review by Helin Yu, Wenwen Jing, Xunjia Cheng

“…Finally, we discuss Cas14-based tools as functionally stronger platforms for the detection of non-nucleic acid targets.…”
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Low-Light Image Enhancement Using Deep Learning: A Lightweight Network with Synthetic and Benchmark Dataset Evaluation by Manuel J. C. S. Reis

“…In this paper, we propose a lightweight deep learning framework for low-light image enhancement, designed to balance visual quality with computational efficiency, with potential for deployment in latency-sensitive and resource-constrained environments. The architecture builds upon a UNet-inspired encoder–decoder structure, enhanced with attention modules and trained using a combination of perceptual and structural loss functions. …”
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Does city-county merger improve urban carbon emission efficiency? An empirical analysis based on the difference-in-differences model by Xuechen Fan, Shuhua Xu

“…The administrative boundary adjustment (ABA) functions as an effective instrument for hierarchical network governance in China, possessing the capacity to accomplish this objective through its redistributive impact on urban spatial resources. …”
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Integration of Daylight in Building Design as a Way to Improve the Energy Efficiency of Buildings by Adrian Trząski, Joanna Rucińska

“…According to the United Nations Environment Programme reports, buildings are responsible for nearly 40% of energy-related emissions; therefore, energy-optimized building design is crucial to reduce the reliance on non-renewable energy sources as well as greenhouse gas emissions. The OECD reports indicate the use of Building Information Modelling (BIM) as one of the effective strategies for decarbonization of buildings, since a 3D digital representation of both physical and functional characteristics of a building can help to design a more efficient infrastructure. …”
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A quantum inspired machine learning approach for multimodal Parkinson’s disease screening by Diya Vatsavai, Anya Iyer, Ashwin A. Nair

“…As disease progression impairs speech, memory, and motor functions over time, early diagnosis is crucial for preserving patients’ quality of life. …”
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Genomic and transcriptomic insights into vertebrate host-specific Lactobacillus johnsonii adaptation in the gastrointestinal tract by Keerthikka Ravi, Nicole R. Falkowski, Gary B. Huffnagle

“…ABSTRACT We conducted a comparative genomic analysis of Lactobacillus johnsonii strains isolated from the gastrointestinal tract of diverse vertebrate hosts to explore the genetic basis of host specificity. We then utilized transcriptomics analysis to investigate the expression profile of identified rodent-specific genes in mouse isolate MR1 during in vitro and in vivo growth conditions. …”
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The Circular Kitchen by Bas Jansen

“…The Circular Economy (CE) presents a viable approach for achieving a sustainable built environment by minimizing resource use, environmental impacts, and waste. Geissdoerfer et al. (2017, p. 759) state that the CE is “a regenerative system in which resource input and waste, emission, and energy leakage are minimized by slowing, narrowing, and closing material and energy loops”. …”
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From Radioactive Effluent to Drinking Water: Efficient Removal of Trace 99TcO4−/ReO4− by Cationic Porous Aromatic Framework by Long‐Sheng Pang, Xiangjun Liao, Chao‐Yue Zhao, Cheng‐Peng Li, Zhong Liu, Shengqian Ma

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Characteristics of B, Zn and Se in stream sediments of Tanzania and their agricultural applications: Based on 1:1000000 geochemical survey by Kang-kang Xu, Hong-wei Sun, Wei Xie, Fu-qing He, Xiao-yang Liu, Kai Sun, Sheng-fei He, Xing-yuan Wu, Peng-hui Gong, Godfrey Machumu

“…Tanzania is located in eastern Africa with a predominantly agricultural ecomomy, the potential for developing and utilizing cultivated land are promising, but scientific guidance is required. …”
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Understanding ecohydrology and biodiversity in aquatic nature-based solutions in urban streams and ponds through an integrative multi-tracer approach by M. M. Warter, D. Tetzlaff, D. Tetzlaff, D. Tetzlaff, C. Soulsby, C. Soulsby, C. Soulsby, T. Goldhammer, D. Gebler, K. Vierikko, M. T. Monaghan, M. T. Monaghan

“…Our findings emphasize the utility of integrated tracer approaches to explore the interface between ecology and hydrology and provide insights into the ecohydrologic functioning of aquaNBSs and their potential limitations. …”
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Optimizing brain tumor detection in MRI scans through InceptionResNetV2 and deep stacked Autoencoders with SwiGLU activation and sparsity regularization by Vishal Awasthi, Mamta Tiwari, Amit Yadav, Gesu Thakur, Mamata Mayee Panda, Hemant Kumar, Shivneet Tripathi

“…Despite its success, limitations include the model's dependency on pre-trained weights and significant computational resources. Future studies should address these limitations by enhancing interpretability, exploring domain-specific transfer learning, and validating on diverse datasets to strengthen the model's utility in real-world settings. …”
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NORDIC denoising on VASO data by Lasse Knudsen, Lasse Knudsen, Luca Vizioli, Federico De Martino, Lonike K. Faes, Daniel A. Handwerker, Steen Moeller, Peter A. Bandettini, Peter A. Bandettini, Laurentius Huber

“…The use of submillimeter resolution functional magnetic resonance imaging (fMRI) is increasing in popularity due to the prospect of studying human brain activation non-invasively at the scale of cortical layers and columns. …”
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Comprehensive Evaluation of Chestnut Quality Based on Principal Component and Cluster Analysis by Yanqi YU, Mingyuan YANG, Chunmao LÜ, Shaoci BAI, Qunfang ZHANG, Chenyang ZOU, Han JIANG

“…This study provides valuable insights for selecting superior resources and breeding high-quality chestnut varieties, while also laying a theoretical foundation for the comprehensive utilization of each type of chestnut.…”
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EZSCAN for undiagnosed type 2 diabetes mellitus: A systematic review and meta-analysis. by Antonio Bernabe-Ortiz, Andrea Ruiz-Alejos, J Jaime Miranda, Rohini Mathur, Pablo Perel, Liam Smeeth

“…OVID (Medline, Embase, Global Health), CINAHL and SCOPUS databases, plus secondary resources, were searched until March 29, 2017. The following keywords were utilized for the systematic searching: type 2 diabetes mellitus, hyperglycemia, EZSCAN, SUDOSCAN, and sudomotor function. …”
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Chromosome-level genome assembly with telomeric repeats at scaffold ends for Rhabdosargus sarba by Mudagandur S. Shekhar, Vinaya Kumar Katneni, Ashok Kumar Jangam, Karthic Krishnan, Sudheesh K. Prabhudas, Jesudhas Jani Angel Raymond, Kuldeep K. Lal

“…This genome is an excellent resource for future research on genetic improvement and molecular breeding programmes for R. sarba.…”
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