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

“…To enhance the model&#x2019;s adaptability, to different scenarios and datasets we implement data augmentation techniques such as CutMix, MixUp and Random Erasing. …”
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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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Genome-wide identification of the AcBAM family in kiwifruit (Actinidia chinensis cv. Hongyang) and the expression profiling analysis of AcBAMs reveal their role in starch metabolis... by Xuchen Gong, Mengfei Lin, Jie Song, Jipeng Mao, Dongliang Yao, Zhu Gao, Xiaoling Wang

“…The expression patterns of AcBAMs, along with VIGS data, suggest that AcBAM5 and AcBAM13 respond to ABA signals and promote starch degradation. …”
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Rationale and design of a large trial of perioperative ketamine for prevention of chronic post-surgical pain by Philip J. Peyton, Sabine Braat, Anurika De Silva, David Story, Lisbeth Evered, Paul S. Myles, Matthew Chan, Stephan Schug, Malcolm Hogg, Alex Holmes, Sofia Sidiropoulos, Kate Leslie

“…In addition, it will provide high-quality, prospective data on the epidemiology of CPSP which will better inform further research into prevention and management of CPSP. …”
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The Relationship between Personality Disorders and Parent\'s Social Capital with the Social Health of Children and Adolescents in Yazd by Nastaran Ahmadi, Parvane Rashidpour, Mohammadreza Mohammadi, Mohammadhadi Farahzadi, Javad Ardeshirpay, Hosein Abouzari, Malihe Mobini, Masoud Mirzaei, Amirhoushang Mehrparvar, Fatemeh Rismanian Yazdi

“…Millon's test of fathers demonstrates a significant correlation with the average scores of structural social capital, cognitive social capital, communicative social capital, and total social capital (P-value < 0.001). …”
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Spatio-temporal dynamics of Isoberlinia-dominated woodlands in disturbance-prone landscapes over 15 years by Shègoun Eudes Idjigbèrou, Eméline Sêssi Pélagie Assédé, Séverin Biaou, Gérard Nounagnon Gouwakinnou, Armand Kuyema Natta, Samadori Sorotori Honoré Biaou

“…Productivity and disturbance influence species richness and structure, enhancing our understanding of vegetation dynamics and species coexistence over time. …”
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Navigating the decision landscape: understanding interstitial cystitis/bladder pain syndrome patients’ motivations and medical support needs for fecal microbiota transplantation: a... by Hongyuan Liu, Yaodi Wei, Peng Jiang, Siyu Fan, Yu Zhao, Zhi Li, Shiyu Wang, Na Zhang, Junjie Zhi, Qun Wei, Yifeng Gu, Bihong Yang, Ninghan Feng, Yufan Wu, Fengping Liu

“…Data analysis was conducted using a thematic approach. …”
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Atrophy of hypothalamic subregions increases migraine risk: cross-sectional study and mendelian randomization analysis by Zhonghua Xiong, Lei Zhao, Geyu Liu, Dong Qiu, Yanliang Mei, Xiaoshuang Li, Zhi Guo, Peng Zhang, Mantian Zhang, Tianshuang Gao, Jinju Sun, Xin Liu, Yonggang Wang

“…Methods Based on T1-weighted MRI data from 76 migraine patients (23 episodic migraine [EM], 53 chronic migraine [CM]) and 35 healthy controls (HCs), we examined group differences in the volume of five hypothalamic subregions. …”
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Wetland dynamics in northern Australia’s tropical savanna (1987–2024): a multi-index Google Earth Engine approach for long-term monitoring by Kaline de Mello, Edimilson Rodrigues dos Santos Junior, Erica A. Garcia, Anna E. Richards, Peter Scott Waugh, Jessica Huxley, Simon Linke

“…This is the first long-term assessment of wetland distribution in the region and provides essential spatial data for water management and conservation. The framework offers a transferable method for monitoring wetlands in other tropical savannas under environmental and development pressures.…”
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Eco-anxiety, climate concern, and fatalistic outlooks: Insights from U.S. crisis text conversations on climate distress by Jennifer D. Runkle, Kelsey Herbst, Sophie Ryan, Kelly Sewell, Ashley Mallare, Ian Berry, Emma Getz, Arden McKee, Martie P. Thompson, Margaret M. Sugg

“…Methods: We analyzed anonymized text data from Crisis Text Line (CTL), a free, U.S.-based digital crisis platform with over nine million conversations since 2017, focusing on a sample of texts mentioning ''climate change.” …”
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The multicenter observational non-interventional study of combination anti-tuberculosis drugs used in treatment of pulmonary tuberculosis patients by T. E. Tyulkova, I. V. Mokhireva, A. A. Starshinova, P. K. Yablonskiy, L. I. Аkhilgova, O. D. Baronova, A. V. Gromov, O. N. Otpuschenikova, G. S. Oganezova, M. V. Levchenko, I. A. Panova, O. A. Trushina, N. V. Yasinetskaya, E. A. Sakharitova

“…Descriptive statistics methods were used for statistical data processing.Results. Of all PP, 267 (54.6%) completed the main course of chemotherapy. …”
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Distinct effects of fine and coarse aerosols on microphysical processes of shallow-precipitation systems in summer over southern China by F. Chen, F. Chen, Y. Yang, L. Yu, Y. Li, W. Liu, Y. Liu, Y. Liu, S. Lolli

“…<p>Densely populated southern China, adjacent to the South China Sea, which is associated with shallow precipitation during summer, is an open-air natural laboratory for studying the impact of aerosol particles on shallow-precipitation events. Using 8 years of data from Dual-frequency Precipitation Radar measurements, aerosol reanalysis, and atmospheric reanalysis, this study investigates the potential influence of coarse and fine aerosol particles on the structure of the precipitation and the microphysical processes of shallow precipitation in southern China. …”
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Promoting active behaviours in schoolchildren using the socio-ecological model in the physical education class: study protocol of the ACTIBESE project by Fernando Rodríguez-Rodríguez, Carlos Cristi-Montero, Natalia Zurita-Corvalán, Caroline Brand, Jorge Mota, Palma Chillón, Anelise Reis Gaya, Javier Brazo-Sayavera, Nicolás Aguilar-Farias

“…The research will use mixed models, ANCOVA, and logistic regressions for data analysis, network analysis, exploratory factors analysis, and structural equation modelling. …”
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