Sphingosine 1-Phosphate Receptor 1 Is Required for MMP-2 Function in Bone Marrow Mesenchymal Stromal Cells: Implications for Cytoskeleton Assembly and Proliferation by Chiara Sassoli, Federica Pierucci, Alessia Tani, Alessia Frati, Flaminia Chellini, Francesca Matteini, Ambra Vestri, Giulia Anderloni, Daniele Nosi, Sandra Zecchi-Orlandini, Elisabetta Meacci

“…Notably, active S1PR1/MMP-2 signalling is required for F-actin structure assembly (lamellipodia, microspikes, and stress fibers) and, in turn, cell proliferation. …”
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Factors influencing the perceived usability of line pay: An extended technology acceptance model approach by Yogi Tri Prasetyo, Krisna Chandra Susanto, Ko-Hui Chuang, Ruo-Ting Yin, Jia-Wei Chen, Yu-Xuan Zhang, Omar Paolo Benito, Zachariah John A. Belmonte, Maela Madel L. Cahigas, Reny Nadlifatin, Ma. Janice J. Gumasing

“…Utilizing an extended Technology Acceptance Model (TAM), the research integrated additional variables such as social influence, trust, security, and environmental concerns, offering a comprehensive framework to understand user adoption dynamics. 120 Taiwanese participants were surveyed by employing the Purposive Sampling Method and data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). …”
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Peak analysis of cell-free RNA finds recurrently protected narrow regions with clinical potential by Pengfei Bao, Taiwei Wang, Xiaofan Liu, Shaozhen Xing, Hanjin Ruan, Hongli Ma, Yuhuan Tao, Qing Zhan, Efres Belmonte-Reche, Lizheng Qin, Zhengxue Han, Minghui Mao, Mengtao Li, Zhi John Lu

“…We reveal that narrow cfRNA peaks preferentially overlap with protein binding sites, vesicle-sorting sites, structural sites, and novel small non-coding RNAs (sncRNAs). …”
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Epidemiological and clinical features of lymphoproliferative diseases in the head and neck region by F. Sh. Kamolova, A. M. Mudunov, P. A. Zeynalova, L. Yu. Grivtsova, G. F. Allakhverdieva, R. I. Azizyan, A. A. Akhundov, I. A. Zaderenko, M. V. Bolotin, D. K. Stelmakh, V. I. Sokorutov, K. D. Il’kaev, V. T. Tsiklauri, I. M. Gelfand, M. B. Pak, O. L. Timofeeva, Yu. E. Ryabukhina, F. M. Abbasbeyli, Ts. Chzhao

“…The high heterogeneity of lymphomas in the head and neck area requires structuring knowledge about their epidemiology and clinical manifestations.Objective: to study the epidemiological and clinical features of the head and neck lymphoproliferative diseases, which will lead to an improvement in diagnostic quality of this nosology’s.Materials and methods. …”
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Systemic biological mechanisms underpin poor post-discharge growth among severely wasted children with HIV by Evans O. Mudibo, Jasper Bogaert, Caroline Tigoi, Moses M. Ngari, Benson O. Singa, Christina L. Lancioni, Abdoulaye Hama Diallo, Emmie Mbale, Ezekiel Mupere, John Mukisa, Johnstone Thitiri, Molline Timbwa, Elisha Omer, Narshion Ngao, Robert Musyimi, Eunice Kahindi, Roseline Maïmouna Bamouni, Robert H. J. Bandsma, Paul Kelly, Andrew J. Prendergast, Christine J. McGrath, Kirkby D. Tickell, Judd L. Walson, James A. Berkley, James M. Njunge, Gerard Bryan Gonzales

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Response of Montane Fish Biodiversity to Landscape and Anthropogenic Activity Under Potential Water Quality Pathways by Wenjun Zhong, Wanjuan Bi, Yan Zhang, Feilong Li, Zehua Zhang, Xiangyun Huang, Xunjie Liu, Yifan Wang, Song Zhang, Shan Xu, Loïc Pellissier, Xiaowei Zhang

“…First, eDNA‐derived taxonomic composition (R = 0.97 against catch data) demonstrated Cypriniformes and Perciformes dominance. …”
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Prevalence, awareness, treatment and control of arterial hypertension depending on regional characteristics in Russia: results of the ESSE-RF study 2012-2022 — evidence of COVID-19... by S. A. Maksimov, S. A. Shalnova, Yu. A. Balanova, A. E. Imaeva, V. A. Kutsenko, M. B. Kotova, G. A. Muromtseva, S. E. Evstifeeva, A. V. Kapustina, N. S. Karamnova, O. B. Shvabskaya, T. V. Repkina, T. O. Gonoshilova, A. V. Kudryavtsev, N. I. Belova, L. L. Shagrov, M. A. Samotrueva, A. L. Yasenyavskaya, O. A. Bashkina, S. V. Glukhovskaya, I. A. Levina, E. A. Shirshova, E. B. Dorzhieva, E. Z. Urbanova, N. Yu. Borovkova, V. K. Kurashin, A. S. Tokareva, Yu. I. Ragino, G. I. Simonova, A. D. Khudyakova, V. N. Nikulin, O. R. Aslyamov, G. V. Khokhlova, A. V. Solovieva, A. A. Rodionov, O. V. Kryachkova, Yu. Yu. Shamurova, E. V. Mikhailov, Yu. O. Tarabrina, M. G. Ataev, M. O. Radzhabov, Z. M. Gasanova, M. A. Umetov, I. A. Hakuasheva, L. V. Elgarova, E. I. Yamashkina, L. A. Balykova, A. A. Usanova, A. M. Nikitina, N. V. Savvina, Yu. E. Spiridonova, E. A. Naumova, V. S. Yudin, A. A. Keskinov, S. M. Yudin, A. V. Kontsevaya, O. M. Drapkina

“…A demographic shift toward a younger age structure in regions was associated with a decreased AH probability (0.83; 0.76-0.91). …”
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Tumour-intrinsic PDL1 signals regulate the Chk2 DNA damage response in cancer cells and mediate resistance to Chk1 inhibitors by Clare E. Murray, Anand V. R. Kornepati, Carlos Ontiveros, Yiji Liao, Bárbara de la Peña Avalos, Cody M. Rogers, Zexuan Liu, Yilun Deng, Haiyan Bai, Suresh Kari, Alvaro S. Padron, Jacob T. Boyd, Ryan Reyes, Curtis A. Clark, Robert S. Svatek, Rong Li, Yanfen Hu, Meiling Wang, José R. Conejo-Garcia, Lauren A. Byers, Kavya Ramkumar, Anil K. Sood, Jung-Min Lee, Christin E. Burd, Ratna K. Vadlamudi, Harshita B. Gupta, Weixing Zhao, Eloïse Dray, Patrick Sung, Tyler J. Curiel

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Exploration of the clinical prognostic model of BRCA based on PCAT7 by Zhi Zhang, Chaocheng Xiang, Tong Chen, Aimin Ma, Xu Wang, Jiaying Li, Yixuan Chen, Yixuan Chen, Chengyu Huang, Chengyu Huang, Ting Li, Ting Li, Danmei Wu, Steven Mo, Dequan Li

“…Consequently, investigating the function and prognostic significance of PCAT7 in BRCA has become imperative.MethodsThis study used BRCA data from the Cancer Genome Atlas (TCGA) as a training cohort to evaluate the prognostic potential of PCAT7. …”
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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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