Development of a simple, low-cost, blue light-emitting diode illuminator for hands-on training of DNA detection experiments using agarose gel electrophoresis by Haruka Honda, Hisayuki Miyajima, Noritaka Miyamoto, Keigo Yoshida, Yuichi Tanaka

“…Recently, several fluorescent dyes have been used for DNA staining owing to their convenience, safety, reduced toxicity, and high sensitivity. A blue light-emitting diode (LED) transilluminator is required to detect DNA using fluorescent dyes; however, the associated high cost may limit its availability in classrooms or small laboratories. …”
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Fluoxetine and agomelatine mitigate anhedonic and hepatic changes in chronic restraint stress rat model by Wedad S. Sarawi, Norah K. Algarzae, Nada M. Alharbi, Ahlam M. Alhusaini, Layan M. Akkam, Reem E. Alsharidah, Latifah S. Alrasheed, Hala A. Attia, Iman H. Hasan

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Correlations of serum histone deacetylase 3 and thrombospondin-1 levels with cardiac function grades, ventricular remodeling, and prognosis in patients with chronic heart failure by Jiange Cheng, Tao Cheng

“…Abstract Background This study aims to analyze the relations of serum Histone Deacetylase 3 (HDAC3) and Thrombospondin-1 (TSP-1) levels to cardiac function grades, ventricular remodeling, and prognosis of patients with chronic heart failure (CHF). …”
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Therapeutic efficacy and mechanism of artesunate for mouse model of polycystic ovary syndrome by WANG Xueling, WANG Xueling, ZHONG Peiling, ZHONG Peiling, ZHAO Zhipeng

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Uniform Quantization for Multi-Antenna Amplify–Quantize–Forward Relay by Gangsan Jeong, Xianglan Jin

“…To address this, we evaluate error performance at the destination for the entire AQF relay communication system by introducing a linear detection method with significantly reduced complexity in the MIMO AQF relay channel. …”
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Short-term prediction method of oblique sounding ionosphere MUF based on robust Kalman filter by Guojun LI, Guangfa ZHENG, Changrong YE, Yinping ZHOU

“…To improve the low accuracy of ionospheric frequency forecasting, poor HF communication connectivity, and the severe impact of observational outliers in engineering on forecast accuracy, a short-term prediction method for oblique detection ionospheric MUF based on robust Kalman filtering was proposed.By studying the variation law of the measured MUF data and the causes as well as characteristics of observation errors, and exploiting the ionospheric reference model as a priori information, the state estimation equation of the Kalman filter model was improved.The cost function mechanism was introduced to realize the measurement update of the forecast state through Huber-M estimation, which reduced the influence of the observation outliers on the forecast results and improves the robustness of the proposed method.The simulation results show that the proposed method can effectively suppress the adverse effects caused by the observation outliers and has good robustness and stability.…”
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Delaying induction of ovulation and timed artificial insemination in a Double-Ovsynch protocol increased expression of estrus and altered first-service reproductive outcomes of lac... by A.L. Laplacette, C. Rial, E. Sitko, M.M. Perez, S. Tompkins, M.L. Stangaferro, M.J. Thomas, J.O. Giordano

“…All cows with automated estrus alerts between PGF-L and TAI were inseminated at detected estrus (AIE) without GnRH. Ovarian function and responses to synchronization were monitored based on circulating concentrations of progesterone and examination of the ovaries by ultrasonography. …”
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Targeting revascularization via tryptophan-indole-NETs axis: the synergistic power of acupuncture and rt-PA thrombolysis in ischemic stroke by Siqi Chang, Siqi Chang, Yi Zhao, Yi Zhao, Chengfeng Li, Chengfeng Li, Xinyu Liu, Xinyu Liu, Zixuan Fang, Zixuan Fang, Zihao Peng, Zihao Peng, Mingliang Gao, Mingliang Gao, Yawen Xia, Yawen Xia, Yawen Xia, Guangxia Ni, Guangxia Ni

“…Acupuncture and NETs inhibitors both offer similar vascular protection during ultra-time window rt-PA thrombolysis, with acupuncture being more effective in reducing cerebral infarction.ConclusionThe degradation of NETs via the tryptophan-indole pathway may facilitate the restoration of vascular structure and function following ischemic stroke. …”
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Bayesian Q-learning in multi-objective reward model for homophobic and transphobic text classification in low-resource languages: A hypothesis testing framework in multi-objective... by Vivek Suresh Raj, Ruba Priyadharshini, Saranya Rajiakodi, Bharathi Raja Chakravarthi

“…Most Reinforcement Learning (RL) algorithms optimize a single-objective function, whereas real-world decision-making involves multiple aspects. …”
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A Method for Predicting Coal-Mine Methane Outburst Volumes and Detecting Anomalies Based on a Fusion Model of Second-Order Decomposition and ETO-TSMixer by Qiangyu Zheng, Cunmiao Li, Bo Yang, Zhenguo Yan, Zhixin Qin

“…First, data smoothing is achieved through an STL decomposition–adaptive Savitzky–Golay filtering–reconstruction framework to reduce temporal complexity. Second, a CEEMDAN-Kmeans-VMD secondary decomposition strategy is adopted to integrate intrinsic mode functions (IMFs) using K-means clustering. …”
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Itaconate derivative 4-OI inhibits M1 macrophage polarization and restores its impaired function in immune thrombocytopenia through metabolic reprogramming by Qiang Liu, Anli Liu, Shaoqiu Leng, Xiaoyu Zhang, Xiaolin Wang, Zhang Cheng, Shuwen Wang, Jun Peng, Qi Feng, Sihan Zhou, Xiuyuan Hao

“…Macrophage polarization, antigen-presenting functions, and phagocytic capability were measured via flow cytometry and enzyme-linked immunosorbent assay (ELISA). …”
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A modification of Jacobson et al.'s (1997) individual branch‐antlered male method for censusing white‐tailed deer by Mark Weckel, Robert F. Rockwell, Frank Secret

“…Uncertainty was broad across all approaches, yet accounting for TS reduced the confounding variability owing to differences in detection probability and generated more accurate parameter estimates. © 2011 The Wildlife Society.…”
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First-phase insulin response (FPIR) to intravenous glucose tolerance test (IVGTT), insulin sensitivity and long-term follow-up in ?- transfusion-dependent thalassemia (TDT) normog... by Vincenzo De Sanctis

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Impaired hippocampal circuit function underlying memory encoding and consolidation precede robust Aβ deposition in a mouse model of alzheimer’s disease by Hanyan Li, Zhuoyang Zhao, Aline Fassini, Han K. Lee, Reese J. Green, Stephen N. Gomperts

“…In subsequent slow wave sleep (SWS), place cell reactivation was reduced. These degraded neural functions underlying memory encoding and consolidation support targeting pathological processes of the pre-plaque phase of AD to treat and prevent hippocampal impairments.…”
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Bone Marrow Culture-Derived Conditioned Medium Recovers Endothelial Function of Vascular Grafts following In Vitro Ischemia/Reperfusion Injury in Diabetic Rats by Sevil Korkmaz-Icöz, Gianluca Sistori, Sivakkanan Loganathan, Alex Ali Sayour, Paige Brlecic, Tamás Radovits, Maik Brune, Matthias Karck, Gábor Szabó

“…DM-IR+CM 61.9±2.0%, p<0.05) was improved, caspase-3, caspase-8, caspase-9, and caspase-12 immunoreactivity was decreased, and DNA strand breakage, detected by the TUNEL assay, was reduced by CM. We present the experimental finding that the preservation of vascular grafts with CM prevents endothelial dysfunction after IRI in diabetic rats. …”
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Maximum-Speed Single-Leg Bridge Test for Concentric Functional Assessment and Exercise in an Athlete with Recurrent Hamstring Strain Injuries: A Case Report by Yuto Sano, Masashi Kawabata, Tomonori Kenmoku, Hiroyuki Watanabe, Naonobu Takahira

“…Recurrences are frequent during high-speed movements; however, no assessment method currently exists to evaluate high-speed functional performance. This case report aimed to highlight the use of the Maximum-Speed Single-Leg Bridge Test (MS-SLBT) in a rugby player with a fourth recurrence of HSI to identify functional impairments that are not detectable with conventional assessments, and to demonstrate that these impairments can be improved by utilizing the test as an intervention…”
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XModNN: Explainable Modular Neural Network to Identify Clinical Parameters and Disease Biomarkers in Transcriptomic Datasets by Jan Oldenburg, Jonas Wagner, Sascha Troschke-Meurer, Jessica Plietz, Lars Kaderali, Henry Völzke, Matthias Nauck, Georg Homuth, Uwe Völker, Stefan Simm

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Electroacupuncture improves cardiac function in hyperlipidemic rats by enhancing efferocytosis in myocardial macrophages via the PPARγ-LXRα-MerTK pathway by Yong-Li Han, Shu-Wen Jin, Xiao-Li Pan, Hong-Xing Zhang

“…We aimed to explore whether EA reduces blood lipid levels and restores cardiac function in hyperlipidemic rats and to elucidate the underlying mechanism involved. …”
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Comparison of clinical nasal endoscopy, optical biopsy, and artificial intelligence in early diagnosis and treatment planning in laryngeal cancer: a prospective observational study by Ruifang Hu, Xianping Liu, Yong Zhang, Clement Arthur, Dongguang Qin

“…Inter-rater agreement was strong overall (κ=0.84), with hoarseness having the most reliability, most likely due to better exposure of the glottis.ConclusionsAI and selectively applied optical biopsy methods improved diagnostic accuracy in nasal endoscopy and reduced time delays for the early detection and management of laryngeal cancer. …”
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Evaluating sowing uniformity in hybrid rice using image processing and the OEW-YOLOv8n network by Zehua Li, Zehua Li, Yihui Pan, Xu Ma, Yongjun Lin, Xicheng Wang, Hongwei Li

“…This improvement can enhance the feature extraction ability of the Backbone network, as the new modules can fully utilize the information of all dimensions of the convolutional kernel. (2) An Efficient Channel Attention (ECA) module is added to the Neck for improving the network’s capability to extract deep semantic feature information of the detection target. (3) In the Bbox module of the prediction head, the Complete Intersection over Union (CIoU) loss function is replaced by the Weighted Intersection over Union version 3 (WIoUv3) loss function to improve the convergence speed of the bounding box loss function and reduce the convergence value of the loss function. …”
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