Medium-Chain Acyl-CoA Deficiency: Outlines from Newborn Screening, In Silico Predictions, and Molecular Studies by Serena Catarzi, Anna Caciotti, Janita Thusberg, Rodolfo Tonin, Sabrina Malvagia, Giancarlo la Marca, Elisabetta Pasquini, Catia Cavicchi, Lorenzo Ferri, Maria A. Donati, Federico Baronio, Renzo Guerrini, Sean D. Mooney, Amelia Morrone

“…Bioinformatics predictions based on both phylogenetic conservation and functional/structural software were used to characterize the new identified variants. …”
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Forest birds maintain body condition in Alder-leaf Birch (Betula alnoides) plantations in subtropical Asia by Wenyi Zhou, Alexandra A. Grossi, Daniel R. Gustafsson, Zhengzhen Wang, Zhuyang Zhang, Yuqing Han, Xinyi Wang, Anru Zuo, Miguel A. Acevedo, Yang Liu, Scott K. Robinson

“…Plantation forestry alters avian community assembly by creating homogeneous habitats with simplified vegetation structure. However, its effects on avian body condition remain poorly understood, despite the influence body condition has on survival and reproduction. …”
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Polar lights optimizer: A novel algorithm for accurate parameter estimation in proton exchange membrane fuel cells by Mohammad Aljaidi, Pradeep Jangir, Arpita, Sunilkumar P. Agrawal, Sundaram B. Pandya, Anil Parmar, G. Gulothungan, Ali Fayez Alkoradees, Mohammad Khishe, Reena Jangid

“…The complex multivariate structure together with nonlinear behavior of these systems makes it parameter estimation a challenging task, which negatively affects operational reliability and system lifespan. …”
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Genetic insights into psychotic major depressive disorder: bridging the mood-psychotic disorder spectrumResearch in context by Thuy-Dung Nguyen, Joeri J. Meijsen, Robert Sigström, Ralf Kuja-Halkola, Ying Xiong, Arvid Harder, Kaarina Kowalec, Joëlle A. Pasman, Carolina Scarpa, Elin Hörbeck, Lina Jonsson, Sara Hägg, Niamh Mullins, Kevin S. O’Connell, Christina Dalman, Dorte Helenius, Richard Zetterberg, Henrik Larsson, Paul Lichtenstein, Ole A. Andreassen, Thomas Werge, Alfonso Buil, Mikael Landén, Patrick F. Sullivan, Yi Lu

“…Methods: This population-based cohort study used Swedish and Danish registry data for over 5.1 M individuals born between 1958 and 1993/1996. …”
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Academic response to improving value and reducing waste: A comprehensive framework for INcreasing QUality In patient-oriented academic clinical REsearch (INQUIRE). by Belinda von Niederhäusern, Gordon H Guyatt, Matthias Briel, Christiane Pauli-Magnus

“…The Delphi process ultimately achieved consensus on structure and content. The framework addresses 5 study stages (concept, planning and feasibility, conduct, analysis and interpretation, and reporting and knowledge translation) and includes the following dimensions: (i) protection of patient safety and rights, (ii) relevance/patient centeredness and involvement, (iii) minimization of bias (internal validity), (iv) precision, (v) transparency/access to data, and (vi) generalizability (external validity) of study results. …”
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Non‐differential gut microbes contribute to hypertension and its severity through co‐abundances: A multi‐regional prospective cohort study by Lu Liu, Qianyi Zhou, Tianbao Xu, Qiufeng Deng, Yuhao Sun, Jingxiang Fu, Muxuan Chen, Xiaojiao Chen, Zhenchao Ma, Quanbin Dong, Beining Ma, Yuwen Jiao, Yan Zhou, Tingting Wu, Huayiyang Zou, Jing Shi, Yifeng Wang, Yanhui Sheng, Liming Tang, Chao Zheng, Wei Wu, Wenjun Ma, Wei Sun, Shixian Hu, Hongwei Zhou, Yan He, Xiangqing Kong, Lianmin Chen

“…Abstract Microbial dysbiosis, characterized by an imbalanced microbial community structure and function, has been linked to hypertension. …”
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Habitat conditions of reef-forming corals directly affect the spatial distribution and stability in fish and macroinvertebrate communities: A case study of Mischief Reef by Peng Xu, Jianfeng Gan, Lintao Huang, Danping Xie, Feilong Li, Hui Huang

“…We utilized eDNA baseline data from Mischief Reef to investigate changes in community structure and their underlying drivers within a small-scale habitat model. …”
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Myocardial dysfunction caused by MyBPC3 P459fs mutation in hypertrophic cardiomyopathy: evidence from multi-omics approaches and super-resolution imaging by Yupeng Wu, Yupeng Wu, Yuzhu Zhang, Yuzhu Zhang, Qirui Zheng, Qirui Zheng, Qiyuan Wang, Qiyuan Wang, Xingyu Fang, Xingyu Fang, Zaihan Zhu, Zaihan Zhu, Jing Lu, Dandan Sun, Dandan Sun

“…However, there was limited knowledge of the structure–function relationships and potential pathways in clinical HCM with MyBPC3 P459fs mutation.MethodsWe used multi-omics approaches and super-resolution imaging to explore the effects of MyBPC3 P459fs mutation on humans and cells. …”
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MSAN-Net: An End-to-End Multi-Scale Attention Network for Universal Industrial Defect Detection by Zelu Wang, Ming Luo, Xinghe Xie, Yue Sun, Xinyu Tian, Zhengxuan Chen, Junwei Xie, Qinquan Gao, Tong Tong, Yue Liu, Tao Tan

“…MSAN-Net was adopted an integrated architecture, deeply combining UnifiedViT, C2f modules, convolution operations, SPPF structure, and Bi-Level Routing Attention mechanism to achieve accurate identification of complex industrial defects. …”
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Temperature and excipient mediated modulation of monoclonal antibody interactions revealed by kD, rheology, and Raman spectroscopy by Olivia Noelle Eskens, Sabitoj Singh Virk, Akashdeep Singh Virk, Deepika Venkataramani, Maureen Crames, Maria Calderon Vaca, Matthew Matusewicz, Connor Smith, Joshin George, Collin Taylor, Michael S. Marlow, Samiul Amin

“…Raman spectral analysis of Amide I/III regions confirmed structural invariance under thermal and shear stress, attributing viscosity modulation to colloidal rather than conformational perturbations. …”
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Normalization of tumor vasculature by imiquimod: proposal for a new anticancer therapeutic indication for a TLR7 agonist by Jarosz-Biej Magdalena, Czapla Justyna, Ciepła Joanna, Smolarczyk Ryszard, Drzyzga Alina, Sprus-Lipka Dorota, Pilny Ewelina, Matuszczak Sybilla, Cichoń Tomasz

“…Despite studies conducted, there are no unambiguous data showing how IMQ affects the condition of tumor blood vessels. …”
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Inhibition Mechanism of Pleurotus citrinipileatus Sing. Ergothioneine on Pancreatic Lipase Activity by Zhangchen XIA, Xiaohui MENG, Ru FANG, Yanqing MAO, Junwen CHENG, Yanbin WANG, Juan XU, Liang HE

“…The UV spectrum indicated there was a π→π* transition produced by the peptide bond C=O group of PL as the mass concentration of PCEGT increased, which could reflect the reinforcement of polarity and hydrophilicity. Fluorescence spectra data revealed PCEGT could efficiently static-quench the intrinsic fluorescence of PL by changing its space structure. …”
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Comparative Genomics and Characterisation of the Role of <i>Saccharomyces cerevisiae</i> Respiration in the Fermentation of Chinese Steamed Bread by Yawen Gao, Yufeng Guo, Jianing Pang, Mingkai Liu, Tengdan Yuan, Qinhong Wang, Jingsheng Liu

“…At the micro level, CSBs 1, 25 and 33 showed a loose reticular structure with large holes and in which starch particles wrapped into gluten protein. …”
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EXPERIMENTAL EVALUATION OF LONG-TERM ADVERSE SIDE EFFECTS OF CYTOSTATIC DRUGS ON FEMALE REPRODUCTIVE FUNCTION AND PHARMACOLOGICAL WAYS TO REDUCE THEM by T. G. Borovskaya, V. E. Goldberg, M. E. Poluektova, A. V. Vychuzhanina, Yu. A. Shchemerovа, V. A. Grigoreva, A. A. Ligacheva, E. A. Bokhan

“…Statistical processing of obtained experimental data was performed using Mann-Whitney U-test and Fisher angular transformation.Results. …”
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Development of the 10-question household foodwork interactional assessment questionnaire (FIA-Q10) by Leah E. Cahill, Sharon I. Kirkpatrick, Catherine L. Mah, Jennifer LP. Protudjer, Cynthia Kendell, Mary E. Jung, Helen Wong, Ellen T. Crumley, Meghan Day, Karen T. Y. Tang, Yan Huang, Jyoti Sihag, Laura Brady, Karthik K Tennankore, Navdeep Tangri, Rebecca C. Mollard, Dylan MacKay

“…An optional accompanying module was developed to collect self-identified demographic data to provide context for understanding how social-structural positionality factors may interact to influence foodwork. …”
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Preliminary observations of glucose metabolism dysregulation in pediatric Huntington’s disease by Federica Graziola, Federica Rachele Danti, Martina Penzo, Antonio Spagarino, Eleonora Minacapilli, Marco Moscatelli, Federica Zibordi, Caterina Mariotti, Giovanna Zorzi, Giovanna Zorzi

“…Clinical, neuroimaging, and neuropsychological data were collected alongside metabolic assessments, including cerebrospinal fluid (CSF) and plasma glucose and lactate levels, CSF-to-serum glucose ratio, and red blood cell GLUT1 expression using the METAglut1 test. 18F-FDG PET imaging and brain MRI were performed to assess cerebral metabolism and structural changes.ResultsBoth patients exhibited progressive motor and cognitive decline with dystonia-parkinsonian features, learning disabilities, and behavioral disturbances. …”
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Turbulent Transport Efficiency of Momentum and Sscalar over Forest Canopy in Southern Sichuan by Yi DING, Yu ZHANG, Demin FAN, Youqi SU, Qian ZHANG, Yanqi WANG, Yanqi WANG

“…The turbulent transport characteristics of momentum and scalar over the canopy were studied by using the three levels （20 m， 38 m and 56 m） turbulence data measured at the 60m forest micro meteorological tower in southern Sichuan from May 1 to June 30， 2021.Coherent structure is the main form of turbulent motion， which is composed of updraft （ejection） and downdraft （sweep）.In this paper， the quadrant analysis method is used to analyze the boundary of the roughness sublayer， roughness sublayer and constant flux layer above the forest canopy and the ejection-sweep motion characteristics of the constant flux layer， including the difference of ejection and sweep contribution to flux， the difference between momentum and scalar transport， and the difference between different scalar （T， q， CO2） transport.The results show that under unstable and stable conditions， the ejection dominates the scalar transport at all three levels， while the sweep is the main eddy current motion for scalar transport above the roughness sublayer under neutral conditions.For the momentum flux， under unstable conditions， the ejection dominates at all three levels.Under stable conditions， the ejection dominates at the roughness sublayer and the constant flux layer， while at the boundary of the roughness sublayer and the constant flux layer， the effect of the sweep is greater than that of the ejection.Under neutral conditions， the flux contribution of the sweep is greater than that of the ejection except for the roughness sublayer.The third-order cumulant expansion method （CEM） can more accurately express the flux contribution caused by ejection and sweep， while the incomplete cumulant expansion method （ICEM） is poor in simulating the temperature at the boundary of roughness sublayer and constant flux layer.Through the calculation of transmission efficiency， the difference between momentum and scalar transmission is further quantified.The turbulent transfer efficiency of momentum decreases with increasing instability， while the heat transfer efficiency is the opposite.Atmospheric stability is an important factor controlling momentum and scalar transfer， and the transfer efficiency of water vapor is less affected by atmospheric stability.Under the condition of strong instability， the heat transfer efficiency is more effective than other scalar transfer.…”
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CD300f epitopes are specific targets for acute myeloid leukemia with monocytic differentiation by Edward Abadir, Robin E. Gasiorowski, Kaitao Lai, Fiona Kupresanin, Adelina Romano, Pablo A. Silveira, Tsun‐Ho Lo, Phillip D. Fromm, Marina L. Kennerson, Harry J. Iland, P. Joy Ho, P. Mark Hogarth, Kenneth Bradstock, Derek N.J. Hart, Georgina J. Clark

“…Furthermore, binding of one mAb, DCR‐2, to CD300f exposes a structural epitope recognized by a second CD300f mAb, UP‐D2. …”
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A Hybrid Deep Learning Framework for Deepfake Detection Using Temporal and Spatial Features by Fazeel Zafar, Talha Ahmed Khan, Salas Akbar, Muhammad Talha Ubaid, Sameena Javaid, Kushsairy Abdul Kadir

“…Our research introduces a model for detecting deepfakes by utilizing an Enhanced EfficientNet B0 structure in conjunction with Temporal Convolutional Neural Networks (TempCNNs). …”
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Radiologic assessment of the optimal point for tube thoracostomy using the sternum as a landmark: a computed tomography‐based analysis by Jaeik Jang, Jae-Hyug Woo, Mina Lee, Woo Sung Choi, Yong Su Lim, Jin Seong Cho, Jae Ho Jang, Jea Yeon Choi, Sung Youl Hyun

“…Purpose This study aimed at developing a novel tube thoracostomy technique using the sternum, a fixed anatomical structure, as an indicator to reduce the possibility of incorrect chest tube positioning and complications in patients with chest trauma. …”
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