Inhibition of CYP450 family 1 subfamily B member 1 (CYP1B1) expression in macrophage reduces the inflammatory response in type 2 diabetes mellitus combined with tuberculosis by Qianqian Du, Kun Liu, Yanling Li, Xinyan Wang, Xin Liu, Jing Zhao, Xuemei Wang

“…Furthermore, we applied machine learning techniques to identify key genes among the commonly differentially expressed genes (DEGs). …”
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THE ROLE OF HOME READING CLASS IN THE LANGUAGE TRAINING OF STUDENTS OF INTERNATIONAL ECONOMIC RELATIONS by M. V. Grineva

“…The author goes on to analyze the professionally oriented novels by J.Grisham and J.Mead and concludes that they can be successfully incorporated into professionally oriented process of teaching English, as they fully satisfy all the above criteria and, moreover, represent a unique resource for a wide spectrum of professional competences of a future economist, both linguistic and non-linguistic (e.g. sociocultural and analytical competences). In addition, the learning aids written by the author encourage students to treat the text of the books as a source of professionally meaningful information.…”
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Clinical Holistic Medicine: When Biomedicine is Inadequate by Søren Ventegodt, Mohammed Morad, Eytan Hyam, Joav Merrick

“…Whenever NNT (Number Needed to Treat) is 2 or higher, the likelihood of the drug to cure the patient is less than 50%, which is not satisfying to any physician. …”
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A novel hybrid adaptive strategy for real-time dispatch and scheduling in renewable-integrated EV charging stations by Guo Hao, Qiu Pengfei, Zhang Jiahui, Bai Xiang, Yan Laiqing, Zia Ullah

“…Its deterministic MILP structure also lays a strong foundation for future integration with predictive or learning-based strategies in adaptive EV infrastructure planning.…”
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Improving ACS prediction in T2DM patients by addressing false records in electronic medical records using propensity score by David Seung U Lee, Jung-Hyun Won, Howard Lee

“…This study used the EMRs of patients with type 2 diabetes mellitus (T2DM) treated with basal insulin at a tertiary university hospital in South Korea. …”
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Programmed cell death-driven remodeling of the melanoma microenvironment enables prognostic stratification and therapeutic prediction by Bo Hu, Shengnan Chai, Xuan Li, Qiang Zhang, Mei Jin, Long Zhang

“…Bulk RNA sequencing data were then integrated to identify PCD-related gene signatures, and machine learning models (LASSO, Ridge, XGBoost) were applied to develop a prognostic model. …”
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The relationship between mindfulness and depression: examining the chain mediating role of shyness and core self-evaluation by Lin Liu, Hailing Jia, Baiyang Qiu, Anbang Zhang, Qian Zhang

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BOD1 Is Required for Cognitive Function in Humans and Drosophila. by Sahar Esmaeeli-Nieh, Michaela Fenckova, Iain M Porter, M Mahdi Motazacker, Bonnie Nijhof, Anna Castells-Nobau, Zoltan Asztalos, Robert Weißmann, Farkhondeh Behjati, Andreas Tzschach, Ute Felbor, Harry Scherthan, Seyed Morteza Sayfati, H Hilger Ropers, Kimia Kahrizi, Hossein Najmabadi, Jason R Swedlow, Annette Schenck, Andreas W Kuss

“…To address this possibility, we established two Drosophila models, where neuron-specific knockdown of BOD1 caused pronounced learning deficits and significant abnormalities in synapse morphology. …”
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Erqember Mitigates Neurotoxic Effects of Aluminum Chloride in Mice: Phytochemical Insights With Neurobehavioral and In Silico Approaches by Habiba Khan, Sana Javaid, Waseem Ashraf, Farhan Siddique, Mehvish Bibi, Tanveer Ahmad, Muhammad Shoaib Ali Gill, Asad Abrar, Faleh Alqahtani, Imran Imran

“…The outcomes revealed that mice treated with Eqr-Em were protected from anxiety-like behavior as they dose-dependently prefer innately frightening central, lightened, and elevated zones in OFT, L/D, and EPM tests. …”
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Predicting deep infection in pilon and tibial plateau fractures: a secondary analysis of the VANCO and OXYGEN trials by Archie L. Overmann, MD, Anthony R. Carlini, MS, Robert V. O'Toole, MD, Renan C. Castillo, PhD, Nathan N. O'Hara, PhD, MHA, METRC, Eben A. Carroll, MD, James Brett Goodman, MBA, Martha B. Holden, , AAS, AA, Anna N. Miller, MD, Amanda Spraggs-Hughes, PhD, Michael L. Brennan, MD, Paul Tornetta, III, MD, Patrick M. Osborn, MD, Jessica C. Rivera, MD, PhD, Clinton K. Murray, MD, Joseph E. Kimmel, MS, Michael J. Bosse, MD, Joseph R. Hsu, MD, Madhav A. Karunakar, MD, Laurence B. Kempton, MD, Rachel B. Seymour, PhD, Stephen H. Sims, MD, Christine Churchill, MA, Debra L. Sietsema, PhD, RN, Ida Leah Gitajn, MD, MS, Rachel M. Reilly, MD, Robert D. Zura, MD, Cameron Howes, BA, Hassan Mir, MD, MBA, Michael J. Weaver, MD, Marilyn Heng, MD, MPH, Thuan V. Ly, MD, Emily A. Wagstrom, MD, Jerald R. Westberg, MPH, BA, Brian H. Mullis, MD, Jeffrey O. Anglen, MD, Leilani S. Mullis, MD, Karl D. Shively, MD, Todd O. McKinley, MD, Roman M. Natoli, MD, PhD, Anthony Sorkin, MD, Lauren C. Hill, BS, CCRC, Robert A. Hymes, MD, Greg E. Gaski, MD, A. Stephen Malekzadeh, MD, Lolita Ramsey, PhD, RN, Jeff E. Schulman, MD, Cary C. Schwartzbach, MD, Robert A. Sikorski, MD, Olivia C. Lee, MD, Peter C. Krause, MD, Joshua L. Gary, MD, Timothy S. Achor, MD, Andrew Choo, MD, John W. Munz, MD, Sterling J. Boutte, BS, Matthew C. Galpin, CCRC, H. Michael Frisch, MD, Adam M. Kaufman, MD, C. Michael LeCroy, MD, Christopher S. Smith, MD, Alec C. Stall, MD, MPH, Andrea Horne, MA, CCRP, Robert V. O'Toole, MD, Manjari Joshi, MBBS, Jason W. Nascone, MD, Nathan N. O'Hara, PhD, MHA, Marcus F. Sciadini, MD, Gerard P. Slobogean, MD, Andrea L. Howe, BS, Roman Hayda, MD, Andrew R. Evans, MD, Stanislaw P. Stawicki, MD, MBA, Thomas R. Wojda, MD, MBA, Michael J. Gardner, MD, Julius A. Bishop, MD, Saqib Rehman, MD, MBA, Cyrus Caroom, MD, Elizabeth Sheridan, MPH, MACPR, Theodore Miclau, MD, Saam Morshed, MD, PhD, Thomas F. Higgins, MD, Justin M. Haller, MD, Clay A. Spitler, MD, Massimo Max Morandi, MD, FACS, Paul Edward Matuszewski, MD, Arun Aneja, MD, PhD, Patrick F. Bergin, MD, Eldrin Bhanat, MD, MPH, Matt L. Graves, MD, John Morellato, MBBS Hons, David Teague, MD, William Ertl, MD, Jaimo Ahn, MD, PhD, Gele B. Moloney, MD, John C. Weinlein, MD, Boris A. Zelle, MD, Animesh Agarwal, MD, Ravi A. Karia, MD, Ashoke Sathy, MD, Drew Sanders, MD, MPH, David B. Weiss, MD, Seth R. Yarboro, MD, Veronica Lester-Ballard, MSN, Eric D. McVey, MEd, CCRP, Reza Firoozabadi, MD, MA, Arman Dagal, MD, FRCA, Conor P. Kleweno, MD, Julie Agel, MA, Paul S. Whiting, MD, Natasha M. Simske, BS, Alexander B. Siy, BS, William T. Obremskey, MD, MPH, Basem Attum, MD, Eduardo J. Burgos, MD, Vamshi Gajari, MBBS, A. Alex Jahangir, MD, Andres Rodriguez-Buitrago, MD, Manish Sethi, MD, Daniel J. Stinner, MD, PhD, Rajesh R. Tummuru, MBBS, MBA, Karen M. Trochez, MA, BS, Jean-Claude G. D'Alleyrand, MD, MSE, Lauren E. Allen, DrPH, Anthony R. Carlini, MS, Susan C. Collins, MSc, Yanjie Huang, ScM, Tara J. Taylor, MPH

“…In total, 1847 adult patients with operatively treated tibial plateau or pilon fractures who met criteria for a high risk of infection. …”
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Does androgen deprivation impact associations between cognition and strength, fitness and function in community-dwelling men with prostate cancer? A cross-sectional study by Helen Macpherson, Robin M Daly, Patrick J Owen, Niamh L Mundell, Steve F Fraser, Jack Dalla Via

“…A secondary aim was to compare differences in the prevalence of cognitive impairment.Design This cross-sectional study compared 70 ADT-treated men with PCa aged 50–85 years to non-ADT-treated men (n=52) and non-PCa controls (n=70).Setting University clinical exercise laboratory.Interventions Nil.Primary and secondary outcome measures Standardised assessments were conducted for cognition (learning, memory, attention, processing speed and executive function), muscle strength (grip strength and leg press), fitness (400 m walk), gait speed (4 m walk) and dual-tasking mobility (timed-up-and-go with a cognitive task).Results ADT-treated men showed stronger associations between fitness and executive function and task switching relative to controls (both: p≤0.03). …”
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Traumatic Brain Injury by Weight-Drop Method Causes Transient Amyloid-β Deposition and Acute Cognitive Deficits in Mice by Hajime Shishido, Masaki Ueno, Kana Sato, Masahisa Matsumura, Yasunori Toyota, Yutaka Kirino, Takashi Tamiya, Nobuyuki Kawai, Yasushi Kishimoto

“…Seven days after TBI, the WT mice exhibited significantly lower spatial learning than the sham-treated WT mice. However, 28 days after TBI, the cognitive impairment in the TBI-treated WT mice recovered. …”
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Melatonin regulates microglial polarization to M2 cell via RhoA/ROCK signaling pathway in epilepsy by Pingping Li, Xuefei Ji, Ming Shan, Yi Wang, Xingliang Dai, Mengyuan Yin, Yunlong Liu, Liao Guan, Lei Ye, Hongwei Cheng

“…Methods In this study, we established a model of TLE in mice by stereotactic injection of kainic acid (KA). We treated the mice with MEL. Lipopolysaccharide, ROCK2‐knockdown (ROCK‐KD) and ‐overexpression (ROCK‐OE) of lentivirus‐treated cells were used in cell experiments to simulate an in vitro inflammatory model. …”
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ISNet: Decomposed Dynamic Spatio‐Temporal Neural Network for Ionospheric Scintillation Forecasts by Zhixu Gao, Yanhong Chen, Xianzhi Ao, Fulu Yue, Hong Chen, Hao Deng, Bingxian Luo, Xin Wang, Tianjiao Yuan

“…In this study, we propose a deep learning‐based Ionospheric Scintillation Network (ISNet), which can predict the regional scintillation index S4 1 hour in advance. …”
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Resveratrol Protects against Sepsis-Associated Encephalopathy and Inhibits the NLRP3/IL-1β Axis in Microglia by Da-ming Sui, Qun Xie, Wen-jing Yi, Sahil Gupta, Xi-ya Yu, Jin-bao Li, Jun Wang, Jia-feng Wang, Xiao-ming Deng

“…SAE was induced in mice via cecal ligation and puncture (CLP), and resveratrol was administered at two doses after surgery. Spatial learning memory functions were evaluated by Morris water maze testing. …”
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RBC balanced immuno-inflammatory signatures identify advanced breast cancer patients on CDK4/6 inhibitors at increased risk of progression and death by Jiayi Ma, Yaohui Wang, Ziping Wu, Liheng Zhou, Yanping Lin, Shuguang Xu, Jie Zhang, Jingsong Lu, Wenjin Yin

“…These findings indicate that RBC-IMM related parameters have the advantage of identifying benefit and safety in CDKI-treated ABC patients over classical indicators.…”
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Holistic Approach to Celiac Patient Support: Nutritional Education of the Social Environment of People with Celiac Disease by Maialen Vázquez-Polo, Virginia Navarro, Gesala Perez-Junkera, Idoia Larretxi, Arrate Lasa, Jonatan Miranda, Itziar Churruca

“…Early results show that participants are increasing their knowledge of GFD, and the interventions are effective in bringing the diseases closer to the general population. It is necessary to treat the disease from a broad approach, beyond physical wellbeing. …”
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Routine antibiotics for infants less than 6 months of age with growth failure/faltering: a systematic review by Jai K Das, Zulfiqar Ahmed Bhutta, Abigail Smith, Aamer Imdad, Olivia Tsistinas, Emily Tanner-Smith, Melissa François, Fanny F Chen, Momal Sana

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Optimizing imputation strategies for mass spectrometry-based proteomics considering intensity and missing value rates by Yuming Shi, Huan Zhong, Jason C. Rogalski, Leonard J. Foster

“…Several statistical and machine-learning methods have been described for imputing MVs in proteomics, such as Bayesian PCA estimation, random forest, and collaborative filtering. …”
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DCDGAN-STF: A Multiscale Deformable Convolution Distillation GAN for Remote Sensing Image Spatiotemporal Fusion by Yan Zhang, Rongbo Fan, PeiPei Duan, Jinfang Dong, Zhiyong Lei

“…These models treat STF as an image super-resolution problem based on multiple reference images. …”
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