THE DEVELOPMENT OF CONDUCTOMETRIC BIOSENSOR FOR DETERMINATION OF URIC ACID CONCENTRATION IN HUMAN SERUM USING SCREEN PRINTED CARBON ELECTRODE (SPCE) – NATA DE COCO by Abdi Naufal Ramadhan, Luluil Maknun, Noerma Juli Azhari

“…The optimized variables were enzyme concentration, membrane thickness and pH solution. …”
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Comparative Immunogenicity of HIV-1 gp140 Vaccine Delivered by Parenteral, and Mucosal Routes in Female Volunteers; MUCOVAC2, A Randomized Two Centre Study. by Catherine A Cosgrove, Charles J Lacey, Alethea V Cope, Angela Bartolf, Georgina Morris, Celine Yan, Susan Baden, Tom Cole, Darrick Carter, Elizabeth Brodnicki, Xiaoying Shen, Sarah Joseph, Stephen C DeRosa, Lili Peng, Xuesong Yu, Guido Ferrari, Mike Seaman, David C Montefiori, Nicole Frahm, Georgia D Tomaras, Wolfgang Stöhr, Sheena McCormack, Robin J Shattock

“…<h4>Background</h4>Defining optimal routes for induction of mucosal immunity represents an important research priority for the HIV-1 vaccine field. …”
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Development of a General Composite Scale (GENCOMS) for Progressive Neurodegenerative Diseases and Implications for the Assessment of Disease-Modifying Therapies by Samuel P. Dickson, Craig H. Mallinckrodt, Basia Rogula, Lauren C. Powell, Michele H. Potashman, Vladimir Coric, Gilbert J. L’Italien, Suzanne B. Hendrix

“…Results The resultant composite scale was optimized to detect disease progression and can be examined in a range of slow or fast progressing populations. …”
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Evaluation of Wear Resistance of a Modified Radial Bearing Design Taking into Account Compressibility and Viscosity of the Lubricant by E. A. Bolgova, M. A. Mukutadze, V. M. Prikhodko, I. A. Kolobov

“…Optimal applications of antifriction coatings based on hybrid composite materials were determined. …”
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Experience of outpatient follow-up of heart transplant recipients at Shumakov center by I. I. Muminov, N. N. Koloskova, V. N. Poptsov, V. M. Zakharevich, N. P. Mozheiko, S. A. Sakhovsky, A. O. Shevchenko

“…Heart transplantation (HT) is considered the optimal therapy for end-stage heart failure. In recent years, the number of operations performed has been growing, which has led to a rise in the number of heart transplant recipients requiring outpatient follow-up.Objective: to evaluate the effectiveness of the model of dual personalized follow-up of heart transplant recipients in the consultative and diagnostic department of Shumakov National Medical Research Center of Transplantology and Artificial Organs.Materials and methods. …”
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Synthesis and properties of some S-derivatives of 4-phenyl-5-((5-phenylamino-1,3,4-thiadiazole-2-ylthio)methyl)-1,2,4-triazole-3-thione by A. S. Hotsulia, S. O. Fedotov

“…The combination of these heterocycles in one molecule makes it possible to increase the probability of detecting substances with a certain type of biological activity among the synthesized compounds.The aim of the work was to optimize the synthesis and study of the properties of S-alkyl derivatives of 5-R-4-phenyl-1,2,4-triazole-3-thione, containing a thiadiazole fragment in their structure, as well as the prediction of possible biological activity to rating the prospects of further studies in vivo and in vitro.Materials and methods. …”
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Micellar Liquid Chromatography for the Determination of Some Less Prescribed Benzodiazepines by Hoonka Subhra, Bose Devasish, Esteve-Romero Josep, Durgbanshi Abhilasha

“…The method proposed for the determination of the three benzodiazepines using a mobile phase of 0.13 M SDS, 2.4% pentanol-0.01 M phosphate buffer- 0.1% triethylamine (pH 7) at 25°C and UV detection (240 nm) in a C8 column. …”
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Terahertz metasensor with pseudo parity time symmetry for oral cancer diagnostics by Zaky A. Zaky, Ali Hennache, V. D. Zhaketov

“…Abstract This study presents the design and theoretical analysis of a pseudo parity-time symmetric photonic crystal biosensor for early oral cancer detection. Using the transfer matrix method, we numerically investigated the resonant transmission properties of a 1D photonic crystal structure with a central defect layer (D = 50 μm) containing healthy and cancer oral cells. …”
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Digital security risk identification and model construction of smart city based on deep learning by Zhilei Zhao

“…In order to deal with these problems, this paper designs a flexible three-layer architecture framework, and introduces a new intrusion detection feature selection method that combines flock optimization (CSO) and genetic algorithm (GA) to reduce the complexity of feature selection and enhance the detection and processing power of security vulnerabilities through deep neural networks (DNN). …”
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Applying Acoustic Signals to Monitor Hybrid Electrical Discharge-Turning with Artificial Neural Networks by Mehdi Soleymani, Mohammadjafar Hadad

“…This study proposes the use of acoustic signals as training data as this method offers a simpler way to obtain a large dataset compared to traditional approaches. …”
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AI-driven multi-agent reinforcement learning framework for real-time monitoring of physiological signals in stress and depression contexts by Thanveer Shaik, Xiaohui Tao, Lin Li, Haoran Xie, Hong-Ning Dai, Feng Zhao, Jianming Yong

“…Results Experimental results demonstrate that the proposed multi-agent DRL framework outperforms baseline models in accurately monitoring patients’ vital signs under stress and varying conditions. The optimized agents adapt effectively to dynamic environments, ensuring timely detection of critical health deviations. …”
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SEEI: spherical evolution with feedback mechanism for identifying epistatic interactions by De-yu Tang, Yi-jun Mao, Jie Zhao, Jin Yang, Shi-yin Li, Fu-xiang Ren, Junxi Zheng

“…The EI detection problem is dependent on epistasis models and corresponding optimization methods. …”
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A Spatial–Frequency Combined Transformer for Cloud Removal of Optical Remote Sensing Images by Fulian Zhao, Chenlong Ding, Xin Li, Runliang Xia, Caifeng Wu, Xin Lyu

“…FreSA leverages fast Fourier transform to convert features into the frequency domain, using frequency differences between object and cloud regions to achieve precise cloud detection and fine-grained removal. In order to further enhance the features extracted by DBSA and FreSA, we design the dual-domain feed-forward network (DDFFN), which effectively improves the detail fidelity of the restored image by multi-scale convolution for local refinement and frequency transformation for global structural optimization. …”
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Advancing personalized diagnosis and treatment using deep learning architecture by Rahat Ullah, Nadeem Sarwar, Mohammed Naif Alatawi, Abeer Abdullah Alsadhan, Hathal Salamah Alwageed, Maqbool Khan, Aitizaz Ali

“…Traditional diagnostic methods, which rely on symptom observation and biomarker detection, often lack specificity and fail to provide personalized treatment options. …”
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Multi-Source Heterogeneous Data-Driven Digital Delivery System for Oil and Gas Surface Engineering by Wei Zhang, Zhixiang Dai, Taiwu Xia, Gangping Chen, Yihua Zhang, Jun Zhou, Cui Liu

“…Utilizing a layered collaborative framework, the system combines optimization algorithms and anomaly detection methods during data processing to enhance the relevance and reliability of high-dimensional data. …”
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Rapid and easy determination of morphine in chafing dish condiments with colloidal gold labeling based lateral flow strips by Wei Chen, Xin-ni Li, Qian Wu, Li Yao, Jianguo Xu

“…Under optimized conditions, this developed LFS can well realize the detection of target MOP in the condiments of chafing dish in less than 10 min without any complicated pre-treatments. …”
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Porosity Characterization of Thermal Barrier Coatings by Ultrasound with Genetic Algorithm Backpropagation Neural Network by Shuxiao Zhang, Gaolong Lv, Shifeng Guo, Yanhui Zhang, Wei Feng

“…In this study, the ultrasonic technique and the artificial neural network optimized with the genetic algorithm (GA_BPNN) are combined to develop an intelligent method for automatic detection and accurate prediction of TBCs’s porosity. …”
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De novo establishment of an ex vivo culture for living myocardial slices applying a microphysiological system – MPSlms by Jordan Maria, Schmieder Florian, Waleczek Florian J. G., Polk Christoph, Stucki-Koch Angelika, Philipp Jürgen, Dietzel Leila, Clement Alexander, Behrens Stephan, Thum Thomas, Sonntag Frank, Fiedler Jan

“…The contractile performance of cardiomyocytes was quantified by applying optical mapping of movement detection, which revealed precise and local variations in contraction within one LMS.…”
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CRISPR/Cas-Based Prenatal Screening for Aneuploidy: Challenges and Opportunities for Early Diagnosis by Irisappan Ganesh, Ilangovan Karthiga, Manoranjani Murugan, Kumar Rangarajalu, Vishnu Bhat Ballambattu, Sambandam Ravikumar

“…The existing prenatal screening techniques for detecting aneuploidy have several limitations. The ability to diagnose aneuploidy early in a non-invasive manner is not feasible with the current screening methods, as they may produce false positive or false negative results. …”
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LSV-MAE: A Masked-Autoencoder Pre-Training Approach for Large-Scale 3D Point Cloud Data by Nuo Cheng, Chuanyu Luo, Han Li, Sikun Ma, Shengguang Lei, Pu Li

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