A promoter library for tuning gene expression in Cupriavidus necator under autotrophic conditions by Wataru Kitagawa, Wataru Kitagawa, Kensuke Igarashi, Ryo Nagasawa, Shigeyuki Kakizawa, Mizuki Horino, Kosuke Fujishima, Kosuke Fujishima, Toshiaki Fukui, Souichiro Kato, Souichiro Kato, Souichiro Kato

“…This advancement lays the groundwork for more efficient CO2-based biomanufacturing platforms, contributing to the development of sustainable bioprocesses.…”
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Application of Rice Husk-Derived SBA-15 Bifunctionalized with C18 and Sulfonic Groups for Solid-Phase Extraction of Tropane, Pyrrolizidine, and Opium Alkaloids in Gluten-Free Bread by Fernando L. Vera-Baquero, Judith Gañán, Natalia Casado, Damián Pérez-Quintanilla, Sonia Morante-Zarcero, Isabel Sierra

“…Rice husk (RH), a globally abundant agri-food waste, presents a promising renewable silicon source for producing SBA-15 mesoporous silica-based materials. …”
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EVALUATION OF THE ACTIVITIES OF AGRICULTURAL PRODUCTS PROCESSING ENTERPRISES IN AZERBAIJAN AND DIRECTIONS OF THEIR DEVELOPMENT by Shohrat İzzat Aliyeva, Zulfiya Mirza Gasimova, Sadagat Yusup Aliyeva, Hijran Rafig Kocharli

“…It emphasizes the need to increase the efficiency of utilizing economic potential and develop a strategy for the development of processing enterprises, adopting a systematic approach. …”
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DVAEGMM: Dual Variational Autoencoder With Gaussian Mixture Model for Anomaly Detection on Attributed Networks by Wasim Khan, Mohammad Haroon, Ahmad Neyaz Khan, Mohammad Kamrul Hasan, Asif Khan, Umi Asma Mokhtar, Shayla Islam

“…These approaches have network sparsity and data nonlinearity problems, and they do not even capture the intricate relationships between various information sources. Deep learning approaches like graph autoencoders are utilized to perform anomaly detection through obtaining node embeddings while dealing with the network nonlinearity and sparsity issues. …”
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Unveiling Theranostics: Nanocomplex-Assisted Photodynamic Eradication of Aggressive Cancer Cells and Modulation of Tumor-Associated Macrophages by Butkute A, Kazlauske E, Mlynska A, Peciukaityte E, Karabanovas V, Rotomskis R, Steponkiene S

“…The nanocomplex accumulated efficiently and uniformly across all CRC cell lines, regardless of their aggressiveness or drug sensitivity. …”
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Integrating Artificial Intelligence in urban redesign: A collaborative approach to post-war design phases by I. Alshafei, R. Almashhour

“…The study structure is a literature review and theoretical approach development, data collection, and analysis, depending on multiple sources, including government reports and academic research, as well as hybrid approach development.FINDINGS: The discussion provides theoretical evidence of the potential advances in this empirical approach, highlighting the efficiency improvements achievable by using Artificial Intelligence technologies in a hybrid phased approach that integrates traditional post-war processes with Artificial Intelligence -assisted ones. …”
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An Adiabatic-Expansion-Induced Perturbation Study on Gas–Aerosol Partitioning in Ambient Air—Formation of NH₄NO₃ and Microdroplet Nitrogen Fixation (2) by Yating Gao, Qinchu Fan, Yujiao Zhu, Hengqing Shen, Qi Yuan, Yang Gao, Huiwang Gao, Xiaohong Yao

“…(3) What factors determine the efficiency of ambient NH₃ generation via microdroplet redox reactions? …”
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Diversidad genética y contenido de carotenos totales en accesiones de yuca (Manihot esculenta Crantz) Genetic diversity and total carotene content in accessions of the cassava (Man... by Ana Cruz Morillo C., Yacenia Morillo C., Martín Fregene, Hernando Ramírez, Alba Lucía Chávez, Teresa Sánchez, Nelson Morante, Hernán Ceballos L

“…It is an important dietary source for humans in tropical countries. Carotenoids are natural pigments that are widely distributed in the nature, where about 50 of them have provitamin A activity, b-carotene has been the most efficient. …”
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Sustainable Self-Training Pig Detection System with Augmented Single Labeled Target Data for Solving Domain Shift Problem by Junhee Lee, Heechan Chae, Seungwook Son, Jongwoong Seo, Yooil Suh, Jonguk Lee, Yongwha Chung, Daihee Park

“…As global pork consumption rises, livestock farms increasingly adopt deep learning-based automated monitoring systems for efficient pigsty management. Typically, a system applies a pre-trained model on a source domain to a target domain. …”
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USING TED TALKS IN TEACHING ENGLISH FOR SPECIFIC PURPOSES AT UNIVERSITY LEVEL by Vilkhovchenko Nadiia

“…Incorporating TED talks as a teaching tool in English for Specific Purposes can be a highly effective way of promoting active learning in the classroom. TED talks are a source of authentic and relevant topics for students to engage in while providing a more enjoyable and efficient way of learning. …”
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Heat Re-process approach and thermally integrated renewable energy system for power, compressed hydrogen, and freshwater production; ANN boosted optimization and techno-enviro-econ... by Zhaoyang Zuo, Junhua Wang, Mohammed A. Alghassab, Nashwan Adnan Othman, Ahmad Almadhor, Fahad M. Alhomayani, Hind Albalawi, Samah G. Babiker, Barno Abdullaeva, Aboulbaba Eladeb

“…Ultimately, the optimized simulation utilizing a hybrid machine learning approach achieved a peak exergy efficiency of 27.37 % and a minimized total cost rate of 96.2 $/h. …”
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Heat recovery integration in a hybrid geothermal-based system producing power and heating using machine learning approach to maximize outputs by Hatem Gasmi, Azher M. Abed, Ashit Kumar Dutta, Fahad M. Alhomayani, Ibrahim Mahariq, Fahad Alturise, Salem Alkhalaf, Tamim Alkhalifah, Yasser Elmasry, Baseem Khan

“…These results highlight the potential of combining advanced thermodynamic systems with machine learning methodologies to improve the efficiency and effectiveness of renewable energy sources.…”
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The osteoinductive and osseointegration properties of decellularized extracellular matrix bone derived from different sites by Weihua Huang, Lijing Hao, Xiayu Cai, Chujie Xiao, Huinan Yin, Weikang Xu

“…The osteogenicity and osteointegration of dECM from different sources were verified in vivo by animal experiments, and the compatibility of dECM in vivo was also verified. …”
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Image navigator–based, automated coronary magnetic resonance angiography for the detection of coronary artery stenosis by Gregory Wood, Reza Hajhosseiny, Alexandra Uglebjerg Pedersen, Simon Littlewood, Tina Juul Hansen, Radhouene Neji, Karl P. Kunze, Jens Wetzl, Bjarne Linde Nørgaard, Jesper Møller Jensen, Michael Maeng, Per Lav Madsen, Niels Vejlstrup, Claudia Prieto, René M. Botnar, Won Yong Kim

“…Additionally, the study incorporates the utilization of standardized postprocessing with sliding-thin-slab multiplanar reformatting, in combination with evaluation of the source images, to optimize the visualization of coronary artery stenosis. …”
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Variation in the metagenomic analysis of fecal microbiome composition calls for a standardized operating approach by Zhilu Xu, Yun Kit Yeoh, Hein M. Tun, Na Fei, Jingwan Zhang, Mark Morrison, Michael A. Kamm, Jun Yu, Francis Ka Leung Chan, Siew C. Ng

“…One possible reason for the disagreement is the introduction of systemic biases due to differences in methodologies. In our study, we utilized microbial metagenomic data sets from 2,722 fecal samples generated from a single research center to examine the extent to which sample storage and DNA extraction influence the quantification of microbial composition and compared this variable with other sources of technical and biological variation. …”
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Nose-to-brain delivery of targeted lipid nanoparticles as two-pronged β-amyloid nanoscavenger for Alzheimer's disease therapy by Yanyan Xu, Xiangtong Ye, Yanfeng Du, Wenqin Yang, Fan Tong, Wei Li, Qianqian Huang, Yongke Chen, Hanmei Li, Huile Gao, Weiwei Zhang

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MEMS-Based Micropacked Thermal Desorption GC/PID for In-Field Volatile Organic Compound Profiling from Hot Mix Asphalt by Stefano Dugheri, Giovanni Cappelli, Riccardo Gori, Stefano Zampolli, Niccolò Fanfani, Ettore Guerriero, Donato Squillaci, Ilaria Rapi, Lorenzo Venturini, Alexander Pittella, Chiara Vita, Fabio Cioni, Domenico Cipriano, Mieczyslaw Sajewicz, Ivan Elmi, Luca Masini, Simone De Sio, Antonio Baldassarre, Veronica Traversini, Nicola Mucci

“…Results and conclusions: The method was successfully deployed on site for source-specific sampling at an HMA plant, generating robust emission fingerprints. …”
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Operational Modes and Technical Points for Empowering Urban Park Green Spaces by Digital Technology by Yang ZHANG, Changlin LI, Ninglu ZHANG, Fei WU

“…Through the data-driven mode, accurately identify the inefficiently utilized space and potential demand gaps, and thus formulate targeted transformation strategies to achieve the coordinated improvement of tourists’ needs and space utilization efficiency. 2) Innovative experience in operation scenarios. …”
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Multimodal AI/ML for discovering novel biomarkers and predicting disease using multi-omics profiles of patients with cardiovascular diseases by William DeGroat, Habiba Abdelhalim, Elizabeth Peker, Neev Sheth, Rishabh Narayanan, Saman Zeeshan, Bruce T. Liang, Zeeshan Ahmed

“…This approach prioritizes both biological relevance and efficiency in machine learning. We employed Combination Annotation Dependent Depletion scores and allele frequencies to identify variants with pathogenic characteristics in CVD patients. …”
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DA+BMAC: Distance-Aware Bidirectional Medium Access Control for Mesh Wireless Network-on-Chip by Mohd Shahrizal Rusli, Asrani Lit, Muhammad Nadzir Marsono, Ab Al-Hadi Ab Rahman, Shahidatul Sadiah, Michael Loong Peng Tan, Suhaila Isaak, Norlina Paraman

“…Conventional WiNoC MAC typically utilizes a daisy-chained ring topology, which limits wireless channel performance due to maximum waiting times when a radio hub misses the token before packet arrival. …”
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