Mid-Water Ocean Current Field Estimation Using Radial Basis Functions Based on Multibeam Bathymetric Survey Data for AUV Navigation by Jiawen Liu, Kaixuan Wang, Shuai Chang, Lin Pan

“…This makes unknown ocean currents a significant error source that leads to substantial cumulative positioning errors. …”
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Fuzzy-Based Novel Cross-Layer RPL Objective Function for Energy-Aware Routing in IoT by M. R. Poornima, H. S. Vimala, J. Shreyas

“…Abstract Energy consumption remains a critical challenge for low-power, resource-constrained Internet of Things (IoT) devices operating over Low-Power and Lossy Networks (LLNs). …”
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Identification and characterization of Sr59-mediated stem rust resistance in a novel wheat-rye translocation T2BL·2BS-2RL by Mahboobeh Yazdani, Matthew N. Rouse, Prabin Bajgain, Tatiana V. Danilova, Ivan Motsnyi, Brian J. Steffenson, Mehran Patpour, Mahbubjon Rahmatov

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Prussian Blue Analogue-Derived p-n Junction Heterostructure for Photothermal Reverse Water–Gas Shift: Enhanced Activity and Selectivity via Synergistic Effects by Shaorui Jia, Xinbo Zhang, Junhong Ma, Chaoyun Ma, Xue Yu, Yuanhao Wang

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Early detection to improve outcome in people with undiagnosed psoriatic arthritis: the PROMPT research programme including RCT by Neil McHugh, Laura Bojke, Mel Brooke Turfrey, Rachel Charlton, Myka Ransom, Laura C Coates, Howard Collier, Claire Davies, Emma Dures, Philip Helliwell, Jana James, Anya Lissina, Vishnu B Madhok, Alison L Nightingale, Jonathan Packham, Catherine Smith, Eldon Spackman, Cerys Tassinari, William Tillett, Sarah T Brown

“…Surveillance for undiagnosed psoriatic arthritis generally detects mild cases as measured by physical function. …”
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Proteolysis and volatile compounds in Mediterranean buffalo milk blue cheese: Quality determinants and functional peptides by Federica Della Cerra, Giuseppina Garro, Rosaria Cozzolino, Sabrina De Pascale, Mariapia Esposito, Gianluca Picariello, Simonetta Caira, Andrea Scaloni, Francesca Marino, Francesco Addeo

“…This study explores the proteolytic changes and volatile organic compound (VOC) profiles occurring during the ripening of Mediterranean buffalo milk blue cheese.The main objective was to characterize bioactive peptides, casein phosphopeptides, and volatile compounds and to assess their potential implications for functional food development.Peptide profiling was conducted using nanoLC-ESI-MS/MS and MALDI-TOF-MS, while VOCs were analyzed via headspace solid-phase microextraction coupled with gas chromatography-mass spectrometry (HS-SPME)-GC-MS.β-casein emerged as the predominant source of bioactive peptides, including sequences with predicted ACE-inhibitory, antimicrobial, and antioxidant activities. …”
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Implementation of a Smart Home Intruder Detection System using a Vibrometer and ESP 32 CAM by Samuel Owoeye, Folasade Durodola, Adekunle Oyelami, Racheal Oladejo, Samuel Obasuyi, Ademola Qasim, Joshua Ogundairo

“…The topic of security is quite important; hence this paper presents the development and implementation of a Smart Intruder Detection System utilizing the ESP32-CAM board, the Vibrometer and the ATMega328P microcontroller to enhance lighting, security, and surveillance functionalities. …”
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Fermented Buffalo Milk with Conjugated Linoleic Acid-Producing Bacteria: Strain Selection and Functional Applications by Bruna Samara dos Santos Rekowsky, Lorena Brandão Rocha Martinez Fernandez, Katherine Gutierrez Alzate, Carini Aparecida Lelis, Marcelo Resende de Souza, Carolina Oliveira de Souza, Bruno Dutra da Silva, Carlos Adam Conte-Júnior, Carla Paulo Vieira, José Givanildo da Silva, Marion Pereira da Costa

“…Buffalo milk is a rich source of precursor fatty acids for bioactive compounds and provides an optimal environment for bacterial growth. …”
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Using multiple scales of movement to highlight risk–reward strategies of coyotes (Canis latrans) in mixed‐use landscapes by Amy Van Scoyoc, Kendall L. Calhoun, Justin S. Brashares

“…We used resource selection functions and hidden Markov models to test whether coyote selection for anthropogenic and natural features varied by time of day or by behavioral state (resting, foraging, and traveling). …”
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How mindfulness-based training improves stress-related health: a selective review of randomized clinical trials comparing psychological mechanisms of action by Lara M. C. Puhlmann, Lara M. C. Puhlmann, Lara M. C. Puhlmann, Veronika Engert, Veronika Engert, Veronika Engert

“…Addressing this shortcoming, the present selective review provides an overview of randomized controlled trials (RCTs) that directly contrast the effects of distinct components of mindfulness on stress-related health. …”
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Looking at the Distant Universe with the MeerKAT Array: The H i Mass Function in the Local Universe by Amir Kazemi-Moridani, Andrew J. Baker, Marc Verheijen, Eric Gawiser, Sarah-Louise Blyth, Danail Obreschkow, Laurent Chemin, Jordan D. Collier, Kyle W. Cook, Jacinta Delhaize, Ed Elson, Bradley S. Frank, Marcin Glowacki, Kelley M. Hess, Benne W. Holwerda, Zackary L. Hutchens, Matt J. Jarvis, Melanie Kaasinen, Sphesihle Makhathini, Abhisek Mohapatra, Hengxing Pan, Anja C. Schröder, Leyya Stockenstroom, Mattia Vaccari, Tobias Westmeier, John F. Wu, Martin Zwaan

“…This new method tracks the recovery of sources in mass bins different from those in which they were injected and incorporates a Poisson likelihood in the forward modeling process, allowing it to correctly handle uncertainties in bins with few or no detections. …”
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Solving Volterra-Fredholm integral equations by non-polynomial spline function based on weighted residual methods by S.H. Salim, R.K. Saeed, K.H.F. Jwamer

“…However, the solution’s accuracy significantly relies on the selection of knots, and the method may require extensive computational resources for large systems. …”
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Multi-omics insights into functional alterations of the liver in growth-retarded offspring: transcriptomic, epigenetic and metabolomic profiles by Qun Lan, Sui Liufu, Xin Xu, Bohe Chen, Wenwu Chen, Kaiming Wang, Caihong Liu, Lanlin Xiao, Xiaolin Liu, Lei Yi, Jingwen Liu, Qiuchun Deng, Haiming Ma, Meng Kang

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Enhanced Separation of Palladium from Nuclear Wastewater by the Sulfur-Rich Functionalized Covalent Organic Framework by Junli Wang, Chen Luo, Wentao Wang, Hui Wang, Yao Liu, Jianwei Li, Taihong Yan

“…The outcomes of this research underscore the immense potential of COFs endowed with resilient linkers and precisely engineered functional groups. Such COFs can adeptly capture metal ions with high selectivity, even in the face of severe environmental conditions, thereby paving the way for the more effective and environmentally responsible management of radioactive waste.…”
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Genome-Wide Analysis Reveals Expansion and Positive Selection of Monocarboxylate Transporter Genes Linked to Enhanced Salinity and Ammonia Tolerance in <i>Sinonovacula constricta</... by Yiping Meng, Liyuan Lv, Hanhan Yao, Zhihua Lin, Yinghui Dong

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Innovative transformer neural network for wind density function estimation at different hub heights of turbine by Amit Kumar Yadav, Vibha Yadav, Walle Tilahun

“…Abstract Accurate estimation of wind power potential is important for resource assessment to install wind turbine. Weibull distribution functions (WDF) have been widely used and it is a function of wind speed (WS). …”
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The structural and functional brain alternations in tobacco use disorder: a systematic review and meta-analysis by Longyao Ma, Longyao Ma, Qiuying Tao, Qiuying Tao, Jinghan Dang, Jinghan Dang, Jieping Sun, Jieping Sun, Xiaoyu Niu, Xiaoyu Niu, Mengzhe Zhang, Mengzhe Zhang, Yimeng Kang, Yimeng Kang, Weijian Wang, Weijian Wang, Jingliang Cheng, Jingliang Cheng, Yong Zhang, Yong Zhang

“…BackgroundWhile numerous previous studies have indicated that nicotine intake results in gray matter and functional brain abnormalities in tobacco use disorder (TUD), the majority of results could not be replicated or even reversed. …”
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Enrichment of bread with encapsulated probiotics as a functional product containing bioactive compounds: Principles, outcomes, and challenges by Samira Beikzadeh, Alireza Sadeghi, Arezou Khezerlou, Elham Assadpour, Seid Mahdi Jafari

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Deep Defense Against Mal-Doc: Utilizing Transformer and SeqGAN for Detecting and Classifying Document Type Malware by Gati Lother Martin, Sang-Min Lee, Jong-Hyun Kim, Young-Seob Jeong, Ah Reum Kang, Jiyoung Woo

“…The proposed model will solve this gap by detecting and classifying document-type malware families using script codes, including tags, to write documents and script languages to execute malicious functions. …”
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Speech Enhancement Using Sliding Window Empirical Mode Decomposition and Hurst-based Technique by Selvaraj POOVARASAN, Eswaran CHANDRA

“…Hurst exponent statistics was adopted for identifying and selecting the set of Intrinsic Mode Functions (IMF) that are most affected by the noise components. …”
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