Spectrum of Cortactin Isoforms in the Urine of Patients with Liver Cirrhosis and Their Diagnostic Value as a Potential Molecular Marker of its Severity by Fayura O., Starikovych M., Abrahamovych O., Abrahamovych M., Stoyka R., Kit Yu.

“…Since the protein content of human urine is closely related to the peculiarity of the functioning of biological systems, its qualitative and quantitative characteristics are promising markers for control of various processes in organism. …”
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LeafDPN: An Improved DPN Model for the Identification of Bacterial Blight in Soybean in Natural Environments by Rui Cong, Ying Xu, Hao Su, Jiaying Zhou, Yuxi Hu, Dawei Xin, Qingshan Chen, Rongsheng Zhu, Shuang Song

“…<i>glycinea</i>, is one of the most devastating diseases in soybean with significant yield losses ranging from 4% to 40%. The timely detection of BBS is the foundation for disease control. …”
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Assessing chronic obstructive pulmonary disease risk based on exhalation and cough sounds by Geyi Wen, Chenshuo Wang, Wei Zhao, Jinliang Meng, Yanyan Xu, Ruiqi Wang, Zijing Zeng

“…Following this, each individual completed pulmonary function tests and participated in questionnaire surveys. …”
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Application of microscopic smartphone attachment for remote preoperative lab testing by Kefan Song, Kefan Song, Alexander T. Adams, Alexander T. Adams

“…This device is designed to assist both healthcare providers in resource-limited settings and patients by offering a low-cost, portable diagnostic tool that enables both in-clinic and at-home testing.MethodsThe system was tested for adaptability and compatibility by transitioning from its original Android platform to an iOS platform. …”
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Adaptive conflict resolution for IoT transactions: A reinforcement learning-based hybrid validation protocol by Mohammad A. Al Khaldy, Ahmad Nabot, Ahmad al-Qerem, Issam Jebreen, Abdulbasit A. Darem, Asma A. Alhashmi, Mohammad Alauthman, Amjad Aldweesh

“…The RL-based mechanism continuously adapts decision-making by learning from system states, prioritizing transactions, and dynamically resolving conflicts using a reward function that accounts for key performance parameters, including the number of conflicting transactions, cost of aborting transactions, temporal validity constraints, and system resource utilization. …”
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Exploring the Medicinal Potential of <i>Taraxacum Kok-Saghyz</i> (<i>TKS</i>) Using Widely Targeted Metabolomics by Michele Tan, Jeffrey Shih-Chieh Chu, Daniel Robin Swiger

“…This study presents the first comprehensive metabolic profile of <i>TKS</i>, highlighting its potential value beyond rubber production. The detection of numerous therapeutic secondary metabolites supports its promise as a pharmaceutical and nutraceutical resource. …”
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Effects of Covid-19 Pandemic on School Dropout in Selected Primry Schools in Nyarusiza Sub-County Kisoro District. by Sibo, Dusabe Chris Jackson

“…Innovative approaches could be used such as applications of artificial intelligence in high-risk/high-traffic sites to enhance COVID-19 detection efficiency while protecting medical staff and the general public from cross-infections The government should establish a physical and automated platform for coordination and resource mobilization for support to the poor pupils and the most vulnerable groups affected by COVID-19-related lockdown.…”
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Characteristics of chemically induced liver progenitors derived from a pig model of metabolic dysfunction-associated steatotic liver disease. by Masayuki Fukumoto, Daisuke Miyamoto, Akihiko Soyama, Takanobu Hara, Yasuhiro Maruya, Peilin Li, Hajime Matsushima, Kazushige Migita, Takahiro Enjoji, Hanako Tetsuo, Takuro Fujita, Mampei Yamashita, Hajime Imamura, Tomohiko Adachi, Kengo Kanetaka, Takahiro Ochiya, Susumu Eguchi

“…In contrast, markers of functional MH after re-differentiation were only detected in the healthy group. …”
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Characterization and Evolutionary Analyses Reveal Differential Selection Pressures on <i>PGIc</i> and <i>PGIp</i> During Domestication in Castor Bean by Jiayu Guo, Lanxin Jiang, Anmin Yu, Bing Han, Aizhong Liu

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Differential involvement of neurotransmitter pathways in AD, bvFTD and MCI: Whole-brain MRI analysis by Ricardo Félix Morais, José Maria Sousa, Cemal Koba, Leon Andres, Tiago Jesus, Inês Baldeiras, Tiago Gil Oliveira, Isabel Santana

“…In MCI, early serotonergic dysregulation involving SERT occurs before detectable atrophy.…”
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Additive Manufacturing for Automotive Radar Sensors Using Copper Inks and Pastes by Nihesh Mohan, Fabian Steinberger, Sonja Wächter, Hüseyin Erdogan, Gordon Elger

“…Radar sensors are critical for obstacle detection and navigation, especially for automated driving. …”
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Tumor-specific CD8+ T cells from the bone marrow resist exhaustion and exhibit increased persistence in tumor-bearing hosts as compared with tumor-infiltrating lymphocytes by Ivan Borrello, Amy Thomas, Luca Biavati, Robert Leone, Elizabeth M Zawidzka, Claudio Zanettini, Luigi Marchionni

“…Importantly, in a competitive transfer experiment, BM T cells infiltrated the tumor more efficiently than TILs, displayed a higher polyfunctionality with interleukin-2, interferon-γ, tumor necrosis factor-α production and showed greater persistence compared with TILs.Conclusions T cells from the BM appear superior to TILs as a source of cells for cellular therapy. They possess a memory-enriched phenotype and exhibit improved effector function, greater persistence within a tumor-bearing host, and the capacity for increased tumor infiltration. …”
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Exploring genetic diversity and genomic inbreeding across local beef cattle breeds by G. Gomez Proto, E. Mancin, A. Quaglia, F. Sbarra, R. Mantovani, C. Sartori

“…Beef cattle breeds from Central and Southern Italy, such as Marchigiana, Chianina, Romagnola, Maremmana, and Podolica, represent a unique genetic resource shaped by centuries of natural and artificial selection. …”
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Optimizing maize germination forecasts with random forest and data fusion techniques by Lili Wu, Yuqing Xing, Kaiwen Yang, Wenqiang Li, Guangyue Ren, Debang Zhang, Huiping Fan

“…Traditional methods for detecting seed germination rates often involve lengthy experiments that result in damaged seeds. …”
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Development of a Novel KCNN4-Related ceRNA Network and Prognostic Model for Renal Clear Cell Carcinoma by Hengtao Bu, Qiang Song, Jiexiu Zhang, Yuang Wei, Bianjiang Liu

“…Finally, quantitative real-time polymerase chain reaction and western blot were conducted for KCNN4 expression detection in cell lines and clinical samples. Small interfering RNA was employed to knock down KCNN4, and corresponding functional experiments were conducted on ccRCC cells as well. …”
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Effect of PM2.5 exposure on susceptibility to allergic asthma in elderly rats treated with allergens by Lianlian Zhao, Xiaolin Ding, Li Zhou, Chenchen Song, Taisheng Kang, Yanfeng Xu, Yunpeng Liu, Yunlin Han, Wenjie Zhao, Boxiang Zhang, Dan Xu, Jianguo Guo

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Intratumoural aldosterone and CYP11B2 expression levels among different genotypes of aldosterone producing tumours by Tobias Åkerström, Branislav Klimàcek, Matilda Annebäck, Olov Norlén, Peter Stålberg

“…Primary aldosteronism is the most common endocrine cause of hypertension, affecting 5–10% of hypertensive patients. Determining the source of aldosteronism is necessary for correct diagnosis and further molecular analysis. …”
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A New [PMo₁₂O₄₀]³⁻-Based Ni^II Compound: Electrochemical and Photocatalytic Properties for Water Pollutant Removal by Guoqing Lin, Shufeng Liu, Dai Shi, Ying Yang, Fangle Yu, Tong Lu, Xiao-Yang Yu, Yuguang Zhao

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Mid-infrared Ensemble Variability of Broad-line and Narrow-line Seyfert 1 Galaxies by Zhipeng Hu, Lisheng Mao

“…The MIR variability of the combined sample is positively correlated with black hole mass and the FWHM of the H β emission line at long rest-frame time lags. (4) The long-term MIR variability of the combined sample may be mainly driven by the Eddington ratio. (5) For BLSy1 galaxies, the MIR variability of radio-detected sources is greater than that of radio-undetected sources, whereas for NLSy1 galaxies, the opposite is true.…”
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Early Fault-Tolerant Quantum Algorithms in Practice: Application to Ground-State Energy Estimation by Oriel Kiss, Utkarsh Azad, Borja Requena, Alessandro Roggero, David Wakeham, Juan Miguel Arrazola

“…Additionally, we provide quantitative resource estimates, demonstrating a constant factor improvement in the number of samples required to detect a specified change in CDF. …”
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