53 research outputs found
<b>Supplemental Material - Kilohertz high-frequency electrical stimulation ameliorate hyperalgesia by modulating transient receptor potential vanilloid-1 and N-methyl-D-aspartate receptor-2B signaling pathways in chronic constriction injury of sciatic nerve mice</b>
Supplemental Material for Kilohertz high-frequency electrical stimulation ameliorate hyperalgesia by modulating transient receptor potential vanilloid-1 and N-methyl-D-aspartate receptor-2B signaling pathways in chronic constriction injury of sciatic nerve mice by Kexin Fang, Peixin Lu, Wen Cheng and Bin Yu in Molecular Pain.</p
Additional file 2: Table S1. of NFAT1-regulated IL6 signalling contributes to aggressive phenotypes of glioma
PCR Primers. (DOC 35 kb
Additional file 1: Figure S1. of NFAT1-regulated IL6 signalling contributes to aggressive phenotypes of glioma
The mRNA expression markers and molecular classification of patient-derived primary glioma cells. A-F: Real time-PCR was performed to detect the expression of the proneural (PN) marker PDGFRA and OLIG2, neural (NE) marker NEFL, classical (CL) marker EGFR, mesenchymal (ME) marker FN1 and YKL40. And patient-derived primary glioma cells were classified into the four molecular subtypes. The PCR primers are shown in Additional file 2: Table S1. (TIFF 1483 kb
Major complications of RF and MW ablation in 155 patients.
<p>Site: c central, s superficial;</p
Cumulative (Cum) survival curves for subgroup analysis of patients with tumors measuring 3.1–5.0 cm.
<p>Curves show (A) overall and (B) disease-free survival for patients treated with RF ablation and MW ablation.</p
Effects on laboratory variables of RF and MW ablation.
<p>The data are expressed as mean ± SD.</p><p>AST, aspartate aminotransferase;</p><p>ALT, alanine aminotransferase.</p>*<p>Compared with the baseline level, P<0.001.</p
Baseline Characteristics of the Study Patients.
*<p>Data are means ± SD. Numbers in parentheses are ranges.</p>†<p>The mean tumor size was 2.3 cm±0.4 (0.8–5.0 cm) in the RF ablation group and 2.2 cm±0.4 (0.9–5.0 cm) in the MW ablation group.</p><p>NS: Not significant.</p
Investigation of hit-and-run crash occurrence and severity using real-time loop detector data and hierarchical Bayesian binary logit model with random effects
<p><b>Objective</b>: Most of the extensive research dedicated to identifying the influential factors of hit-and-run (HR) crashes has utilized typical maximum likelihood estimation binary logit models, and none have employed real-time traffic data. To fill this gap, this study focused on investigating factors contributing to HR crashes, as well as the severity levels of HR.</p> <p><b>Methods</b>: This study analyzed 4-year crash and real-time loop detector data by employing hierarchical Bayesian models with random effects within a sequential logit structure. In addition to evaluation of the impact of random effects on model fitness and complexity, the prediction capability of the models was examined. Stepwise incremental sensitivity and specificity were calculated and receiver operating characteristic (ROC) curves were utilized to graphically illustrate the predictive performance of the model.</p> <p><b>Results</b>: Among the real-time flow variables, the average occupancy and speed from the upstream detector were observed to be positively correlated with HR crash possibility. The average upstream speed and speed difference between upstream and downstream speeds were correlated with the occurrence of severe HR crashes. In addition to real-time factors, other variables found influential for HR and severe HR crashes were length of segment, adverse weather conditions, dark lighting conditions with malfunctioning street lights, driving under the influence of alcohol, width of inner shoulder, and nighttime.</p> <p><b>Conclusions</b>: This study suggests the potential traffic conditions of HR and severe HR occurrence, which refer to relatively congested upstream traffic conditions with high upstream speed and significant speed deviations on long segments. The above findings suggest that traffic enforcement should be directed toward mitigating risky driving under the aforementioned traffic conditions. Moreover, enforcement agencies may employ alcohol checkpoints to counter driving under the influence (DUI) at night. With regard to engineering improvements, wider inner shoulders may be constructed to potentially reduce HR cases and street lights should be installed and maintained in working condition to make roads less prone to such crashes.</p
Additional file 5: of ARL2 overexpression inhibits glioma proliferation and tumorigenicity via down-regulating AXL
Figure S5. Western blot showed that ARL2 overexpression in U251 cells didn’t affect the expression of total and phospho-form AKT. (TIF 842 kb
Improving LSM-trie performance by parallel search
LSM-trie-based key-value (KV) store is often used to manage an ultralarge dataset in reality by introducing a number of sublevels at each level, its linear growth pattern can fairly reduce the write amplification in store operations. Although this design is effective for the write operation, the last level holds a large proportion of KV items, leading to the extreme imbalance of data distribution. Therefore, to support efficient read, we need to carefully consider this imbalance. On the other hand, to ensure that acquired data is latest, the LSM-trie needs to search the dataset at different levels one by one, and this search method may take a lot of unnecessary time. When the number of items is ultralarge, the random lookup performance may be poor due to the imbalance data distribution. To address this issue, we improve the read performance of the LSM-trie by changing its serial search to parallel search, using two threads to simultaneously search at the last level and other levels, respectively. Our experiment results show that the read performance of the LSM-trie can be improved up to 98.35% and on average 71.55%
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