Nerve injury inhibits Oprd1 and Cnr1 transcription through REST in primary sensory neurons by Ashok Subedi, Asieh Etemad, Aadhya Tiwari, Yuying Huang, Biji Chatterjee, Samantha M. McLeod, Yungang Lu, DiAngelo Gonzalez, Krishna Ghosh, Mario Sirito, Sanjay K. Singh, Elisa Ruiz, Sandra L. Grimm, Cristian Coarfa, Hui-Lin Pan, Sadhan Majumder

“…Quantitative reverse transcription polymerase chain reaction analyses of these tissues validated these results. Analysis of publicly available bioinformatic data suggested that REST binds to the promoter regions of Oprm1 and Cnr1. …”
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Factors, markers, diagnostic methods, and prediction of pregnancy loss by P. A. Koshulko, A. M. Kirsanova-Martynova, V. A. Buchnev, E. V. Ignatova, S. S. Kupriyanov, E. S. Melnikov, P. A. Solodov, A. M. Dorogova, G. D. Bagirova, A. V. Zubkov, A. D. Kolyvanova, E. A. Zubareva, A. D. Senatskaya

“…To assess cathepsin activity, biochemical assay kits were used, and the resulting data were analyzed using spectrofluorimetric methods.Results. …”
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Innovative organ-on-a-chip platforms for exploring tumorigenesis and therapy in head and neck cancer by Chen Lin, Zilin Zhang, Feili Yang, Shanshan Gu, Jiyang Zuo, Yi Wu, Jing Zhang, Tiantian Zhou, Yuna Zhang, Zaozao Chen, Zhongze Gu, Zhisen Shen

“…The integration of AI and robotics has shown promise in enhancing the scalability and data analysis capabilities of these models. Conclusions Advancements in 3D and OOC technologies are essential for overcoming the current limitations in HNC research. …”
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Enteritisin Apostichopus japonicus in Cage Culture Areas in the Fujian Dongwuyang Bay: Pathogenic Characteristics and Bacterial Community Structure by Jinjin WANG, Yingeng WANG, Bin LI, Xiaojun RONG, Meijie LIAO, Jianlong GE, Qiang HUANG, Lu WANG, Guojun SHI

“…The connective tissue and muscle layer were separated, with the connective tissue cells in the sick intestinal tract swollen and partially destroyed, and loosely arranged. Microbial culture data analysis of cultivable bacteria and intestinal and ambient samples from sea cucumbers were conducted. …”
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Association of pre-diabetes with the risks of adverse health outcomes and complex multimorbidity: evidence from population-based studies in the NIS and UK Biobank by Yue Zhang, Jiajun Zhao, Zhongshang Yuan, Hang Dong, Mingzhuo Li, Yingzhou Shi, Yafei Wu, Xiude Fan, Zinuo Yuan, Junming Han, Yiping Cheng, Xiaoshan Feng, Zhixiang Wang, Ruirui Xuan, Yingchun Dong, Yang Tian, Qingling Guo, Yongfeng Song

“…Introduction This study aimed to examine the risk of common diseases among people with pre-diabetes and explored the relationship between pre-diabetes and multimorbidity (in this case, two or more comorbid diseases).Methods An observational multicohort study using data from the UK Biobank database and the National Inpatient Sample (NIS) database (2016–2018) was conducted. …”
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A review of research progress on continuous cropping obstacles by Kunguang WANG, Qiaofang LU, Zhechao DOU, Zhiguang CHI, Dongming CUI, Jing MA, Guowei WANG, Jialing KUANG, Nanqi WANG, Yuanmei ZUO

“…It is essential to understand the causes and mitigation mechanisms of continuous cropping obstacles (CCOs) and then develop appropriate methods to overcome them. This review systematically summarizes the causes and mitigation measures of soil degradation in continuous cropping through a meta-analysis. …”
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Challenges and Innovations in Pharmacovigilance and Signal Management During the COVID-19 Pandemic: An Industry Perspective by Maria Maddalena Lino, Susan Mather, Marianna Trani, Yan Chen, Patrick Caubel, Barbara De Bernardi

“…Signal detection and evaluation (signal management) begins at the start of vaccine development, before an MAH submits an application for authorization to regulatory authorities, continues through the course of all clinical trials, and carries on beyond development into the post-marketing phase. …”
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A modern conception of postcholecystectomy syndrome (based on the materials of the Advisory Board held on May 4, 2019 in Almaty, Kazakhstan) by A. V. Nersesov, D. A. Kaibullaeva, O. S. Vasnev, L. K. Tashenova, M. M. Sakhipov, G. T. Berestimov, G. A. Akhmetzhanova, O. T. Ibekenov, M. O. Doskhanov, N. M. Zhumazhanov, Zh. M. Balzhanov, B. A. Aitmoldin, E. A. Toleubaev, E. M. Laryushina, K. N. Zhumagulov, G. N. Sobirova, S. I. Umarova, Yu. O. Shulpekova, A. V. Okhlobystin

“…The Advisory Board emphasized that organic and functional biliary diseases manifest mainly by biliary pain, main characteristics of which were defined in the Rome IV consensus based on the statistical analysis of a large pool of clinical data. For a more accurate bile duct system assessment and the exclusion of cholelithiasis, the examination algorithm was proposed, which included abdominal ultrasound investigation, endoscopic ultrasound investigation of the pancreatobiliary area, and magnetic resonance cholangiopancreatography. …”
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Enhanced Plant Growth Through Composite Inoculation of Phosphate-Solubilizing Bacteria: Insights from Plate and Soil Experiments by Mengsha Li, Xinjing Li, Daosheng Xue, Chengjiang Bao, Keying Zhang, Lili Chen, Qiuping Li, Rui Guo

“…However, the systematic analysis of the effects of composite inoculation of PSB on crops remains elusive. …”
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The associations between single nucleotide polymorphisms and diabetic retinopathy risk: an umbrella review by Shaofen Huang, Yonghui Feng, Ying Sun, Jiazi Liu, Pu Wang, Jingrong Yu, Xin Su, Shasha Han, Shiqi Huang, Haokun Huang, Shiyun Chen, Ying Xu, Fangfang Zeng

“…This umbrella review was conducted aiming to assess the association between genetic variations and the development of diabetic retinopathy (DR) by collecting and evaluating available systematic reviews and meta-analysis results. …”
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Rapid diagnosis of bacterial vaginosis using machine-learning-assisted surface-enhanced Raman spectroscopy of human vaginal fluids by Xin-Ru Wen, Jia-Wei Tang, Jie Chen, Hui-Min Chen, Muhammad Usman, Quan Yuan, Yu-Rong Tang, Yu-Dong Zhang, Hui-Jin Chen, Liang Wang

“…Vaginal fluid samples were classified as BV positive or BV negative using the BVBlue Test and clinical microscopy, followed by SERS spectral acquisition to construct the data set. Preliminary SERS spectral analysis revealed notable disparities in characteristic peak features. …”
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Ecosystem services and multifunctionality are co-regulated by biotic and abiotic factors along with forest types in a temperate forest of South Korea by Min-Ki Lee, Yong-Ju Lee, Jung-Hwa Chun, A-Reum Kim, Chang-Bae Lee

“…Finally, the degree of control of ecosystem service categories over EMF varies across forest types, so a clear management plan must be developed for each forest type.…”
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Whole-genome resequencing reveals genetic diversity and selection signatures of Tongjiang and five goat breeds by Siyuan Zhan, Siyuan Zhan, Jing Luo, Jing Luo, Ruiyang Li, Ruiyang Li, Guangyao Li, Guangyao Li, Linxiang Li, Dandan Li, Tao Zhong, Tao Zhong, Linjie Wang, Linjie Wang, Jiazhong Guo, Jiazhong Guo, Jiaxue Cao, Hongping Zhang, Hongping Zhang, Li Li, Li Li

“…Here, we generated whole-genome sequencing data for 35 samples from three populations (Tongjiang, Banjiao, and Chuandong white) and downloaded the genome sequence data of 30 individuals from three breeds (Jintang black, Chengdu grey, and Tibetan cashmere) to characterize the genomic variations of Tongjiang and other goat breeds. …”
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EIF4E-mediated biogenesis of circPHF14 promotes the growth and metastasis of pancreatic ductal adenocarcinoma via Wnt/β-catenin pathway by Zhou Fang, Zhuo Wu, Chao Yu, Qingyu Xie, Liangtang Zeng, Rufu Chen

“…Methods CircPHF14 (hsa_circ_0079440) was identified through the analysis of RNA sequencing data from PDAC and normal adjacent tissues. …”
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Progesterone peak influences embryonic developmental morphokinetics on trigger day? A retrospective study by D. Baldini, V. M. Bartoli, A. Mastrorocco, D. Ferri, M. Dellino, A. S. Laganà, S. Hatirnaz, G. M. Baldini, A. Malvasi, A. Vimercati, G. Trojano

“…Conclusions P levels ≥ 1.5 ng/ml on the trigger day did not negatively impact embryonic morphokinetic parameters, instead resulting in faster embryo development in the initial stages.…”
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An explainable Bi-LSTM model for winter wheat yield prediction by Abhasha Joshi, Biswajeet Pradhan, Subrata Chakraborty, Subrata Chakraborty, Renuganth Varatharajoo, Abdullah Alamri, Shilpa Gite, Chang-Wook Lee

“…The Bi-LSTM model outperformed other models in terms of predictive performance (R2 up to 0.88) and generalizability across locations and ranges of yield data. Explainability analysis reveals that enhanced vegetation index (EVI), temperature and precipitation at later stages of crop growth are most important in determining Winter wheat yield. …”
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Self-reported health, persistent symptoms, and daily activities 2 years after hospitalization for COVID-19 by Roda Alhasan, Lena Rafsten, Lena Rafsten, Alexandra C. Larsson, Alexandra C. Larsson, Katharina S. Sunnerhagen, Katharina S. Sunnerhagen, Katharina S. Sunnerhagen, Hanna C. Persson, Hanna C. Persson

“…The current study encompasses the 2-year follow-up, using post-hospitalization questionnaire surveys. Analyzed data were collected before discharge and at the 2-year follow-up. …”
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Quality of life of the mechanically ventilated patients with community-acquired pneumonia by Zornić Nenad, Milovanović Dragan R., Stojadinović Miroslav, Radovanović Dragče, Davidović Goran, Simović Stefan, Bukumirić Zoran, Janjić Vladimir, Marić Nebojša, Jevđić Jasna, Rosić Vesna, Nešić Jelena

“…[Project of the Serbian Ministry of Education, Science and Technological Development, Grant no. 175007]…”
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AhR agonist tapinarof ameliorates lupus autoimmunity by suppressing Tfh cell differentiation via regulation of the JAK2‐STAT3 signaling pathway by Ying Zhang, Yanyan Pan, Peiyi Zhang, Fang Wang, Ying Han, Kailin Li, Wen Jiang, Jue Wang, Yun Luan, Qian Xin

“…Furthermore, our in vitro Tfh polarization experiments indicated that tapinarof suppressed Tfh cell development in SLE. Conclusions Our data demonstrated that tapinarof modulated the JAK2‐STAT3 pathway to suppress Tfh cell differentiation for the treatment of lupus symptoms in MRL/lpr mice.…”
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Underwater SLAM Meets Deep Learning: Challenges, Multi-Sensor Integration, and Future Directions by Mohamed Heshmat, Lyes Saad Saoud, Muayad Abujabal, Atif Sultan, Mahmoud Elmezain, Lakmal Seneviratne, Irfan Hussain

“…This survey provides a comprehensive analysis of the latest developments in DL-enhanced SLAM for underwater applications, categorizing approaches based on their methodologies, sensor dependencies, and integration with deep learning models. …”
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