Simultaneous profiling of classic and 11-oxygenated androgens via a novel derivatization method coupled with HPLC-MS/MS: A game-changer for endocrine disorders by Xianhua Zhang, Huiyu Xu, Yue Sun, Xin Xiong, Lingling Liu, Li Yang, Libo Zhao, Xiaona Li, Rong Li, Rongsheng Zhao

“…Magnetic solid-phase extraction (MSPE) using magnetic graphene oxide nanoparticles followed by in-situ derivatization further improved the detection efficiency. A novel quaternary ammonium aminooxy (QAO) reagent was employed as the derivatization agent, featuring a permanently charged MS-tag and an aminooxy group that reacts with steroid ketone groups. …”
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Anxiety-depressive syndrome in patients with arterial hypertension and chronic obstructive pulmonary disease with frequent exaccations by L. A. Shpagina, I. S. Shpagin, L. D. Khidirova, A. A. Vasilenko

“…To reveal psychosomatic features of the course of arterial hypertension in chronic obstructive pulmonary disease with frequent exacerbations.Materials and methods. …”
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Soft Tissue Infections of Streptococcal Etiology in the Purulent-Surgical Department of a Multidisciplinary Hospital by A. O. Kaytukov, E. V. Glushkova, N. I. Briko, O. E. Orlova, A. V. Liseitsev, A. V. Shamis, D. A. Tsaplina

“…To estimate the frequency and identify the features of soft tissue streptococcal infection in patients of the purulent-surgical department of a multidisciplinary hospital in Moscow.Materials and Methods. …”
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Examination of the story of “The Rose of Paracelsus” according to Theory of the Imaginary by Fulya Doğru Şahin

“…The story is Borges’s second story featuring images of Kabala, and it presents a rose reborn from the ashes through Kabala. …”
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Research on Soft-Sensing Methods for Measuring Diene Yields Using Deep Belief Networks by Xiangwu Deng, Zhiping Peng, Delong Cui

“…The diene yield is an important production quality index parameter of ethylene units, and it is very important to detect and control them in real time. Due to the limitations of online analytical instrumentation technology, diene yields are difficult to measure online. …”
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Analysis of digital intelligent financial audit system based on improved BiLSTM neural network by Zhu Xincai

“…Therefore, in order to achieve intelligent analysis and processing of audit reports, this study innovatively applies the convolution operation of convolutional neural networks to the forward and backward layers of bidirectional long short-term memory networks, obtaining more accurate feature recognition and prediction results. Meanwhile, by introducing radial basis functions for nonlinear mapping of the data space, the model’s ability to fit complex data is enhanced, thereby improving the analytical capability of the digital intelligent financial audit system. …”
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A metric learning method for estimating myelin content based on T2-weighted MRI from a de- and re-myelination model of multiple sclerosis. by Glen Pridham, Shahnewaz Hossain, Khalil S Rawji, Yunyan Zhang

“…Further, the area under the receiver operator characteristic curve of our unsupervised myelin feature (0.883, 95% CI: 0.874-0.891) was significantly better than any of the supervised models in detecting white matter myelin as compared to histology. …”
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DIMENSIONS OF LENIENCY POLICIES IN BRICS: A COMPARATIVE ANALYSIS OF INDIA, SOUTH AFRICA, BRAZIL AND RUSSIA by D. Sharma

“…But it is well known that the enforcement mechanisms of laws against cartels differ from country to country, and yet the striking similarity is that almost all competition authorities face the same uphill task of detecting and busting cartels in a manner that leads to efficient and desired prosecution.This paper focuses on an analysis of the newly introduced leniency regulations in India and the parameters of their effectiveness through a comparative analytical study of BRICS leniency regulations, specifically the experiences shared by South Africa, Brazil and Russia in the application of leniency tools and a marker system. …”
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Prevalence and spatial distributions of trachomatous inflammation-follicular among children aged 1–9 years in rural areas of Yilmana Densa and Gonji Kolela districts, Northwestern... by Misganaw Alelign, Asmamaw Malede, Eshetu Shifaw, Tesfahun Taddege, Yideg Abinew, Metadel Adane

“…Results This study found that the prevalence of TF was 17.8% (95% CI: 15.3–20.2%). From spatial analytical techniques and models, the global spatial autocorrelation analysis based on feature locations and attribute values revealed a clustering of TF among children aged 1–9 years across the study area (Global Moran’s I = 0.849, p-value < 0.0001). …”
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Simulation and Quantitative Analysis of Spatial Centromere Distribution Patterns by Adib Keikhosravi, Krishnendu Guin, Gianluca Pegoraro, Tom Misteli

“…A prominent feature of eukaryotic chromosomes are centromeres, which are specialized regions of repetitive DNA required for faithful chromosome segregation during cell division. …”
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Predicting the potential distribution areas of Leptotrombidium rubellum under current and future climate change by Qunzheng Mu, Qunzheng Mu, Fengfeng Li, Wenyu Li, Wenyu Li, Xiaoxia Wang, Mingyuan Tang, Kehan Chen, Yihao Jiang, Jingqi Liu, Shirong Zhang, Qiyong Liu, Chuan Wang

“…The selection of environmental variables was conducted using a multi-stage analytical approach, consisting of contribution rate assessment, jackknife tests, and correlation analyses. …”
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Comparative nutrient and sensory analysis of eight different commercial Chlorella powders by Felix Melcher, Tillmann Peest, Tillmann Peest, Diego Garay, Diego Garay, Florian Utz, Florian Utz, Michael Paper, Andrea Spaccasassi, Andrea Spaccasassi, Lisa Obermaier, Jennifer Schneiderbanger, Max Koch, Daniel Garbe, Tom Nilges, Thomas Becker, Michael Rychlik, Corinna Dawid, Corinna Dawid, Wolfram M. Brück, Nikolaus I. Stellner, Nikolaus I. Stellner, Thomas B. Brück

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AI-Driven Prediction of Symptom Trajectories in Cancer Care: A Deep Learning Approach for Chemotherapy Management by Joseph Finkelstein, Aref Smiley, Christina Echeverria, Kathi Mooney

“…The findings demonstrate that both CNN’s temporospatial feature extraction and LSTM’s temporal modeling effectively capture escalation patterns in symptom progression. …”
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Dengue Early Warning System and Outbreak Prediction Tool in Bangladesh Using Interpretable Tree‐Based Machine Learning Model by Md. Siddikur Rahman, Miftahuzzannat Amrin, Md. Abu Bokkor Shiddik

“…Results Our study findings detected a nonlinear effect of climatic parameters on dengue at different thresholds such as mean (27°C), minimum (22°C), maximum temperatures (32°C), and relative humidity (82%). …”
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Gas discharge visualization as a promising tool for meat analysis during its storage by A. U. Shkabrou, I. M. Chernukha, V. D. Raznichenka, L. U. Lazovikava, I. I. Andreeva, S. N. Baitava

“…Recently a lot of analytical methods have been developed, however, only a few of them have found application in the meat industry, since they do not provide sufficient understanding of the processes that occur in meat during its storage. …”
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Cervical ripening at home or in hospital during induction of labour: the CHOICE prospective cohort study, process evaluation and economic analysis by Mairead Black, Cassandra Yuill, Mairi Harkness, Sayem Ahmed, Linda Williams, Kathleen A Boyd, Maggie Reid, Amar Bhide, Neelam Heera, Jane Huddleston, Neena Modi, John Norrie, Dharmintra Pasupathy, Julia Sanders, Gordon C S Smith, Rosemary Townsend, Helen Cheyne, Christine McCourt, Sarah Stock

“…The economic analysis involved a decision-analytic model from a National Health Service and Personal Social Services perspective, populated with CHOICE cohort and published data. …”
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Composition of Flavorings for Home-Made Alcoholic Beverages by Andrey V. Oberenko, Sergei V. Kachin, Sergei A. Sagalakov, Artem D. Yakovlev, Natalia A. Kozel

“…The research objective was to study the component composition of imitation flavorings in order to develop appropriate analytical measurement protocols. The research featured flavorings of different brands that imitate flavor profiles of cognac, chacha, tequila, brandy, gin, and liqueur. …”
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Seasonality and mycobacterial infectious diseases in animals and humans: is there a generality of seasonal patterns for mycobacterial infections? by Carlos Adrian Vargas Campos, Christine Chevillon, Ahmadou Sylla, Magdalene Dogbe, Kayla M. Fast, Jennifer Pechal, Alex Rakestraw, Matthew E. Scott, Michael W. Sandel, Heather Jordan, M. Eric Benbow, Jean-François Guégan

“…Conclusion Seasonality appears to be a common yet understudied feature of many mycobacterial infections. Greater interdisciplinary collaboration and the use of appropriate analytical tools are essential to better understand these patterns, especially in underrepresented regions. …”
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Pear rust: peculiarities of pathogen biology measures for control and profilactic by A. Cherniy

“…Retrospective analysis of pear rust spread for the period 1960—2010; information and analytical analysis of the peculiarities of biology and the life cycle of the pathogen; field observations of the dynamics of disease development on host plants in 2015—2019; analytical generalization of control measures taking into account the biology of the pathogen. …”
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