Identifying security bug reports (SBRs) accurately from a bug repository can reduce a software product's security risk. However, the class imbalance problem exists for SBR prediction since the number ...of SBRs is often limited, and this issue has not been thoroughly investigated in previous studies. In our study, we choose six real-world projects of different sizes with over 120 000 bug reports in total as our empirical subjects. We first analyze the impact of the class imbalance issue on SBR prediction and confirm its negative impact on prediction performance. Then we perform a comparative study of six state-of-the-art class rebalancing methods combined with five popular classification algorithms for SBR prediction. By comparing with the baseline method Farsec, using the class rebalancing methods can improve the performance in 78% of cases in the worst case. Moreover, the combination of the Rose and random forest classification algorithm can construct the model with the best performance, which increases the performance by 267% in the best case and 75% on average in terms of F1-score . Finally, we summarize eight main findings based on our empirical studies' results, which can provide guidelines for choosing appropriate class rebalancing methods and classifiers for SBR prediction in practice.
Pulmonary hypertension (PH) is highly prevalent in patients with heart failure with preserved ejection fraction (HFpEF), and it is a strong predictor of adverse outcomes. We aimed to determine ...possible echocardiographic parameters to predict the presence of PH in patients with HFpEF.
A total of 113 patients with HFpEF were prospectively enrolled from November 2017 to July 2022. The patients underwent invasive cardiac catheterization and simultaneous echocardiography at rest and during exercise. The parameters indicating right ventricle-pulmonary artery uncoupling, including tricuspid annular plane systolic excursion (TAPSE)/pulmonary artery systolic pressure (PASP) and tricuspid annular systolic velocity (TAS')/PASP were calculated. Receiver operating characteristic curve analysis was used to determine the optimal cut-off points of TAPSE/PASP and TAS'/PASP to differentiate patients with HFpEF with PH from those without PH. Sixty-eight patients with HFpEF with PH and 45 without PH were included. Those with PH had lower TAPSE/PASP and TAS'/PASP at rest and during exercise compared with those without PH. Both resting/stress TAPSE/PASP and TAS'/PASP were correlated with rest/exercise pulmonary capillary wedge pressure and mean pulmonary artery pressure. In multivariable regression analysis, TAPSE/PASP remained a significant predictor of exercise pulmonary capillary wedge pressure and mean pulmonary artery pressure. In receiver operating characteristic curve analysis, the optimal cut-off points of TAPSE/PASP and TAS'/PASP to differentiate patients with HFpEF with PH from those without PH were ≤0.62 and ≤0.47, respectively.
Right ventricle-pulmonary artery uncoupling is closely correlated with abnormal rest/exercise hemodynamics (pulmonary capillary wedge pressure and mean pulmonary artery pressure) in patients with HFpEF. TAPSE/PASP and TAS'/PASP can be useful parameters to detect PH in patients with HFpEF.
The study aimed to explore the effectiveness of bedside lung ultrasound (LUS) combined with the PaO
/FiO
(P/F) ratio in evaluating the outcomes of high-flow nasal cannula (HFNC) therapy in infants ...with severe pneumonia.
This retrospective study analyzed the clinical data of 150 infants diagnosed with severe pneumonia and treated with HFNC therapy at our hospital from January 2021 to December 2021. These patients were divided into two groups based on their treatment outcomes: the HFNC success group (n = 112) and the HFNC failure group (n = 38). LUS was utilized to evaluate the patients' lung conditions, and blood gas results were recorded for both groups upon admission and after 12 h of HFNC therapy.
At admission, no significant differences were observed between the two groups in terms of age, gender, respiratory rate, partial pressure of oxygen, and partial pressure of carbon dioxide. However, the P/F ratios at admission and after 12 h of HFNC therapy were significantly lower in the HFNC failure group (193.08 ± 49.14, 228.63 ± 80.17, respectively) compared to the HFNC success group (248.51 ± 64.44, 288.93 ± 57.17, respectively) (p < 0.05). Likewise, LUS scores at admission and after 12 h were significantly higher in the failure group (18.42 ± 5.3, 18.03 ± 5.36, respectively) than in the success group (15.09 ± 4.66, 10.71 ± 3.78, respectively) (p < 0.05). Notably, in the success group, both P/F ratios and LUS scores showed significant improvement after 12 h of HFNC therapy, a trend not observed in the failure group. Multivariate regression analysis indicated that lower P/F ratios and higher LUS scores at admission and after 12 h were predictive of a greater risk of HFNC failure. ROC analysis demonstrated that an LUS score > 20.5 at admission predicted HFNC therapy failure with an AUC of 0.695, a sensitivity of 44.7%, and a specificity of 91.1%. A LUS score > 15.5 after 12 h of HFNC therapy had an AUC of 0.874, with 65.8% sensitivity and 89.3% specificity. An admission P/F ratio < 225.5 predicted HFNC therapy failure with an AUC of 0.739, 60.7% sensitivity, and 71.1% specificity, while a P/F ratio < 256.5 after 12 h of HFNC therapy had an AUC of 0.811, 74.1% sensitivity, and 73.7% specificity.
Decreased LUS scores and increased P/F ratio demonstrate a strong correlation with successful HFNC treatment outcomes in infants with severe pneumonia. These findings may provide valuable support for clinicians in managing such cases.
Abstract
Context
Primary aldosteronism (PA) patients have a higher degree of arterial stiffness, which can be reversed after adrenalectomy.
Objective
We aimed to compare the reversal of arterial ...stiffness between surgically and medically treated PA patients and to identify the predictors of effective medical treatment.
Methods
We prospectively enrolled 445 PA patients and collected data on baseline clinical characteristics, biochemistry, blood pressure, and pulse wave velocity (PWV) before treatment and 12 months after treatment. In the mineralocorticoid receptor antagonist (MRA)-treated patients, the relationship between the change in PWV after 1 year (ΔPWV) and posttreatment renin activity was explored using the restricted cubic spline (RCS) method.
Results
Of the 445 enrolled PA patients, 255 received adrenalectomy (group 1) and 190 received MRAs. In the RCS model, posttreatment plasma renin activity (PRA) 1.5 ng/mL/h was the best cutoff value. Therefore, we divided the MRA-treated patients into 2 groups: those with suppressed PRA (< 1.5 ng/mL/h, group 2), and those with unsuppressed PRA (≥ 1.5 ng/mL/h, group 3). Only group 1 and group 3 patients had a statistically significant improvement in PWV after treatment (both P < .001), whereas no significant improvement was noted in group 2 after treatment (P = .151). In analysis of variance and post hoc analysis, group 2 had a significantly lower ΔPWV than group 1 (P = .007) and group 3 (P = .031). Multivariable regression analysis of the MRA-treated PA patients identified log-transformed posttreatment PRA, age, and baseline PWV as independent factors correlated with ΔPWV.
Conclusion
The reversal of arterial stiffness was found in PA patients receiving adrenalectomy and in medically treated PA patients with unsuppressed PRA.
The Southern Ocean is supposed to play a crucial role in influencing atmospheric CO2 concentrations. However, the dynamic relationships among the rate of Southern Ocean upwelling, atmospheric CO2 ...concentration, and Antarctic climate at millennial timescales remain unclear. Here, we present high‐resolution color reflectance component b* and natural gamma radiation from the southern Scotia Sea sector of the Southern Ocean to reconstruct productivity over the past 160 ka. We find that these two independent productivity proxies, reflecting the signal of nutrient supply in this region, captured millennial‐scale upwelling that covaried in timing with Heinrich Stadials and Antarctic warming events, supporting the bipolar seesaw mechanism. The one‐to‐one coupling of variability between productivity and atmospheric CO2 concentrations reveals that the upwelling is closely linked to atmospheric CO2 and climate change.
Plain Language Summary
The Southern Ocean's physical and associated biogeochemical processes play important roles in influencing atmospheric CO2 and climate change. In this study, we investigate temporal changes in productivity in the Antarctic Zone of the Southern Ocean by color reflectance component b* and natural gamma radiation data over the past 160 ka. We find that millennial‐scale productivity variability, which reflects the rate of upwelling in this region, corresponds to millennial‐scale variations in Antarctic temperature and atmospheric CO2 concentration over the past 160 ka. These tight couplings could imply that Southern Ocean upwelling is involved in atmospheric CO2 fluctuation and climate change.
Key Points
Change in productivity at Site U1537 reflects the degree of upwelling in the Antarctic Zone of the Southern Ocean
The millennial‐scale productivity peaks correspond to the Antarctic Isotope Maximum events that coincided with the Heinrich Stadials or Dansgaard‐Oeschger events in Greenland
The rate of upwelling and atmospheric CO2 concentrations are positively correlated during the Heinrich Stadials
Abstract
We present ALMA 870
μ
m and JCMT/SCUBA2 850
μ
m dust continuum observations of a sample of optically dark and strongly lensed galaxies in cluster fields. The ALMA and SCUBA2 observations ...reach a median rms of ∼0.11 mJy and 0.44 mJy, respectively, with the latter close to the confusion limit of the data at 850
μ
m. This represents one of the most sensitive searches for dust emission in optically dark galaxies. We detect the dust emission in 12 out of 15 galaxies at >3.8
σ
, corresponding to a detection rate of 80%. Thanks to the gravitational lensing, we reach a deeper limiting flux than previous surveys in blank fields by a factor of ∼3. We estimate delensed infrared luminosities in the range 2.9 × 10
11
–4.9 × 10
12
L
⊙
, which correspond to dust-obscured star formation rates of ∼30–520
M
⊙
yr
−1
. Stellar population fits to the optical-to-NIR photometric data yield a median redshift
z
= 4.26 and delensed stellar mass 6.0 × 10
10
M
⊙
. They contribute a lensing-corrected star formation rate density at least an order of magnitude higher than that of equivalently massive UV-selected galaxies at
z
> 3. The results suggest that there is a missing population of massive star-forming galaxies in the early Universe, which may dominate the SFR density at the massive end (
M
⋆
> 10
10.3
M
⊙
). Five optically dark galaxies are located within
r
< 50″ in one cluster field, representing a potential overdensity structure that has a physical origin at a confidence level >99.974% from Poisson statistics. Follow-up spectroscopic observations with ALMA and/or JWST are crucial to confirm whether it is associated with a protocluster at similar redshifts.
Humans have the inherent advantage of understanding action intention, while it is an enormous challenge to train the machine to localize unintentional action in videos due to the lack of reliable ...annotations for stable training. The annotations of unintentional action are unreliable since different annotators are affected by their subjective appraisals and intrinsic ambiguity, which brings heavy difficulties for the training. To address this issue, we propose a probabilistic framework for unintentional action localization by modeling the uncertainty of annotations. Our framework consists of two main components, including Temporal Label Aggregation (TLA) and Dense Probabilistic Localization (DPL). We first formulate each annotated failure moment as a temporal label distribution. Then we propose a TLA component to aggregate temporal label distributions of different failure moments in an online manner and generate dense probabilistic supervision. Based on TLA, We further develop a DPL component to jointly train three heads (i.e., probabilistic dense classification, probabilistic temporal detection, and probabilistic regression) with different supervision granularities and make them highly collaborative. We evaluate our approach on the largest unintentional action dataset OOPS and demonstrate that our approach can achieve significant improvement over the baseline and state-of-the-art methods.
Constantly stimulated by the tumor microenvironment (TME), programmed death 1 (PD‑1) is elevated, and it interacts with PD ligand 1 (PD‑L1), rendering chimeric antigen receptor (CAR)‑T cells ...dysfunctional. Hence, CAR‑T cells immune to PD‑1‑induced immunosuppression were constructed to improve the function of CAR‑T cells in hepatocellular carcinoma (HCC). Double‑target CAR‑T cells, targeting glypican‑3 (GPC3) a tumour-associated antigen (TAA) and hindering PD‑1‑PD‑L1 binding, were established. The expression of GPC3, PD‑L1, and inhibitory receptors was measured using flow cytometry. The cytotoxicity, cytokine release, and differentiation level of CAR‑T cells were determined using lactate dehydrogenase release assay, enzyme‑linked immunosorbent assay, and flow cytometry, respectively. HCC cells were targeted and eliminated by double‑target CAR‑T cells. These double‑target CAR‑T cells limit PD‑1‑PD‑L1 binding and sustain cytotoxicity to PD‑L1
HCC cells. The relatively low IR expression and differentiation level in double‑target CAR‑T cells in tumour tissues induced tumour‑suppression and extended survival in PD‑L1
HCC TX models, as opposed to their single‑target counterparts. The results of the present study suggested that the newly constructed double‑target CAR‑T cells exhibit stronger tumour‑suppressing effects in HCC than their single‑target counterparts, which are common, suggesting the potential of strengthening CAR‑T cell activity in HCC treatment.
Heterogeneous multicore systems, which consist of high-performance and power-efficient cores, are emerging to satisfy the various demands on performance and power consumption. On the other hand, as ...CMOS technology continues to shrink in size, the aging effect, which can cause performance degradation or timing failures, has become a non-negligible threat to lifetime reliability. To overcome the challenges under the aging effect, various approaches have been proposed in previous studies. Most previous studies, however, did not consider the different characteristics of big and little cores. In addition, most of them do not consider critical tasks with the strict timing requirements present in real-time applications, resulting in early system failure. Therefore, considering different characteristics of cores and the presence of critical tasks, we propose an aging-aware task deployment framework for real-time systems. In this framework, for high-performance big cores, we propose a novel asymmetric aging-aware strategy. This strategy finds an energy-efficient task-to-core assignment to reserve some healthy cores at the early system life stage. The reserved cores are kept idle with the lowest voltage and can execute critical tasks at the late system life stage, extending the system lifetime. Meanwhile, the nonreserved cores use lower voltages to execute tasks, reducing the aging effect. For energy-efficient little cores, we adopt the symmetric aging-aware strategy to balance out the aging effect of each little core. With a balanced aging effect, the utilization of little cores is improved. In addition, we propose voltage/frequency boosting and task migration techniques to increase the number of cores that can meet the task timing constraints. Compared to the state of the art, the proposed framework can achieve <inline-formula> <tex-math notation="LaTeX">1.10\times </tex-math></inline-formula> lifetime improvement and 5% energy reduction.
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