Maraviroc/cisplatin combination inhibits gastric cancer tumoroid growth and improves mice survival by Bárbara Mora-Lagos, María Elena Reyes, Lorena Lobos-Gonzalez, Matías del Campo, Kurt Buchegger, Louise Zanella, Ismael Riquelme, Carmen Gloria Ili, Priscilla Brebi

“…This study aimed to determine the effects induced by the CCR5 using Maraviroc (MVC), a highly selective CCR5 antagonist, on CDDP-resistant AGS cells (AGS R-CDDP), tumoroids (3D tumor spheroids), and animal models. …”
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Diagnostic accuracy of artificial intelligence algorithms to predict remove all macroscopic disease and survival rate after complete surgical cytoreduction in patients with ovarian... by Somayyeh Noei Teymoordash, Hoda Zendehdel, Ali Reza Norouzi, Mahdis Kashian

“…The pooled estimate of 4 studies showed that the accuracy of AI for predicting R0 was (Mean: 80.5%, CI 95%:71.46, 89.6%, I2:47.9%). …”
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Metronomic Cyclophosphamide and Methotrexate Chemotherapy Combined with 1E10 Anti-Idiotype Vaccine in Metastatic Breast Cancer by Jorge L. Soriano, Noyde Batista, Eduardo Santiesteban, Mayté Lima, Joaquín González, Robin García, Yohanka Zarza, María V. López, Myriam Rodríguez, Jorge L. Loys, Narciso Montejo, Frank Aguirre, Amparo Macías, Ana M. Vázquez

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Medication burden in patients with dialysis-dependent CKD: a systematic review by Xuemei Liu, Ping Chen, Yun Liu, Xiaoyan Jia, Dongmei Xu

“…Data extraction and combining from multiple groups of number (n), mean, and standard deviation (SD) were performed using R programming language (version4.3.1; R Core Team, Vienna, Austria). …”
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Validation of the COTENP Code: A Steady-State Thermal-Hydraulic Analysis Code for Nuclear Reactors with Plate Type Fuel Assemblies by Duvan A. Castellanos-Gonzalez, João Manoel Losada Moreira, José Rubens Maiorino, Pedro Carajilescov

“…To validate the COTENP code, we considered experimental data from the Brazilian IEA-R1 research reactor and calculated data from the Chinese CARR multipurpose reactor. …”
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Biomechanics in bone regeneration and mechanobiology in osteoblasts: Fundamental concepts and recent progress by Wenbin Cai, Yaya Huo, Yu Liu, Yan Su, Haobo Guo, Lijie Wang, Bin Li, Ting Liang

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Enhanced Forecasting and Assessment of Urban Air Quality by an Automated Machine Learning System: The AI‐Air by Jiayu Yang, Huabing Ke, Sunling Gong, Yaqiang Wang, Lei Zhang, Chunhong Zhou, Jingyue Mo, Yan You

“…Similarly, for the O3 forecasts, the R value is improved by 0.09–0.44, and ME and RMSE values are reduced by 7.1–22.8 and 9.0–25.9 μg/m³, respectively. …”
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Predicting academic procrastination of students based on academic self-efficacy and emotional regulation difficulties by Hamidreza Farhadi Rad, Shima Bordbar, Jamshid Bahmaei, Marjan Vejdani, Ali Reza Yusefi

“…A statistically significant correlation was observed between students’ academic procrastination and academic self-efficacy (r = -0.648, p < 0.001) and the difficulty in emotional regulation (r = 0.701, p < 0.001). …”
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Clerodendrum volubile Ethanol Leaf Extract: A Potential Antidote to Doxorubicin-Induced Cardiotoxicity in Rats by Olufunke Esan Olorundare, Adejuwon Adewale Adeneye, Akinyele Olubiyi Akinsola, Daniel Ayodele Sanni, Mamoru Koketsu, Hasan Mukhtar

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Electroacupuncture Treatment Alleviates Central Poststroke Pain by Inhibiting Brain Neuronal Apoptosis and Aberrant Astrocyte Activation by Gui-Hua Tian, Shan-Shan Tao, Man-Tang Chen, Yu-Sang Li, You-Ping Li, Hong-Cai Shang, Xiao-Yi Tang, Jian-Xin Chen, He-Bin Tang

“…The pain-related behavioral responses, neuronal apoptosis, glial activation, and the expression of pain signal transmission-related factors (β-catenin, COX-2, and NK-1R) were assessed using behavioral tests, Nissl staining, TUNEL staining, and immunohistochemical staining, respectively. …”
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The Stress and Adversity Inventory for Adults (Adult STRAIN) in Korean: Initial Validation and Associations with Psychiatric Disorders by Eun Soo Kim, Yun Tae Kim, Kang-Seob Oh, Young Chul Shin, Sang-Won Jeon, Dong-Won Shin, Sung Joon Cho, George M. Slavich, Junhyung Kim

“…Results: The Korean STRAIN exhibited sufficient usability and acceptability; good concurrent validity with other measures of early adversity, life events, and perceived stress (<i>r</i>s = 0.48–0.61); and strong predictive validity in relation to anxiety and depressive symptoms (β = 0.08–0.47; ΔR2 = 0.11–0.21). …”
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Analysis of spatio-temporal fungal growth dynamics under different environmental conditions by Liselotte De Ligne, Guillermo Vidal-Diez de Ulzurrun, Jan M. Baetens, Jan Van den Bulcke, Joris Van Acker, Bernard De Baets

“…An RH of 65% (independent of temperature) for C. puteana and a temperature of 30 °C (independent of RH) for both C. puteana and R. solani therefore always resulted in limited fungal growth, while the optimal growing conditions were at 20 °C and 75% RH and at 25 °C and 80% RH for R. solani and at 20 °C and 75% RH for C. puteana. …”
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Predicting the Progress of Tuberculosis by Inflammatory Response-Related Genes Based on Multiple Machine Learning Comprehensive Analysis by Shuai Ma, Peifei Peng, Zhihao Duan, Yifeng Fan, Xinzhi Li

“…The results of the miRNA–genes network analysis suggested a potential role of hsa-miR-3163 in the molecular mechanism of LTBI progressing into ATB. …”
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Polysaccharide extract from Rosa laevigata fruit attenuates inflammatory obesity by targeting redox balance and gut interface in high-fat diet-fed rats by Xuejiao Zhang, Chenzhong Jin, Han Liu, Yihong Hu, Yunyun Zhou, Weiguo Wu, Si Qin

“…RNA-seq revealed that the effect of RLPs was partially attributed to its regulation on PPARs signaling by increasing the expressions of Scd, Acox3 and Hmgcs2, and on other redox-related pathways by decreasing the expressions of Cyp2e1, Il1-r1 and Lbp. Moreover, 16S rRNA sequencing coupled with metagenome sequencing showed that RLPs had significantly reduced the ratio of Firmicutes/Bacteroidetes from 8.01 to 2.37, and significantly increased the relative abundances of Alistipes, Prevotella, and Akkermansia from 0.36 %, 1.10 % and 2.61 % to 0.65 %, 2.37 % and 4.42 %, respectively. …”
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Resultados del tratamiento artroscópico de lesiones Atzei 4 del complejo del fibrocartílago triangular mediante ligamentoplastia de Carratalá by Juan Matías Sala, Aldo Daniel Ledesma, Luis Eduardo Galván, Josué Silva Martínez

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Validation of SOC Estimation Using OC and EC Concentration in PM2.5 Measured at Seoul by Ha Young Yoo, Ki Ae Kim, Yong Pyo Kim, Chang Hoon Jung, Hye Jung Shin, Kwang Ju Moon, Seung Myung Park, Ji Yi Lee

“…EC to select the lower 5-20% OC/EC ratio; 3) determining the OC/EC ratio which has lowest correlation coefficient value (R2) between EC and SOC which is reported as minimum R squared method (MRS). …”
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Molecular Identification of Mycobacterium Species of Public Health and Veterinary Importance from Cattle in the South State of México by Adrian Zaragoza Bastida, Nallely Rivero Pérez, Benjamín Valladares Carranza, Keila Isaac-Olivé, Pablo Moreno Pérez, Horacio Sandoval Trujillo, Ninfa Ramírez Durán

“…The objective of this study was to isolate and identify nontuberculous mycobacteria species from cattle of local herds in the south region of the State of Mexico through the identification and detection of the 100 bp molecular marker in the 23S rRNA gene with subsequent sequencing of the 16S rRNA gene. …”
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Interactions of the anti-FcRn monoclonal antibody, rozanolixizumab, with Fcγ receptors and functional impact on immune cells in vitro by Omar S. Qureshi, Emma J. Sutton, Rosemary F. Bithell, Shauna M. West, Rona M. Cutler, Gillian McCluskey, Graham Craggs, Asher Maroof, Nicholas M. Barnes, David P. Humphreys, Stephen Rapecki, Bryan J. Smith, Anthony Shock

“…This format is frequently used for therapeutic mAbs due to its intrinsic lower affinity for Fc gamma receptors (FcγR) and lack of C1q engagement. However, with growing evidence suggesting that no Fc-containing agent is truly “silent” in this respect, we explored the engagement of FcγRs and potential functional consequences with rozanolixizumab. …”
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Enhancing the estimation of cadmium content in rice leaves by integrating vegetation indices and color indices using machine learning by Xiaoyun Huang, Shengxi Chen, Tianling Fu, Chengwu Fan, Hongxing Chen, Song Zhang, Hui Chen, Song Qin, Zhenran Gao

“…Notably, the LCd estimation model developed using the random forest method exhibited the highest accuracy, with a coefficient of determination (R2) of 0.81 and a root-mean-square error of 0.120. …”
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Autoencoder untuk Sistem Prediksi Berat Lahir Bayi by Fitra Septia Nugraha, Hilman Ferdinandus Pardede

“…Dengan melakukan variasi parameter pada autoencoder, performa terbaik diperoleh adalah MSE 0.002, MAE 0.029, R2 0.991 dengan autoencoder dengan 4 lapisan hidden layer encoder dan decoder. …”
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