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Ultrafast transient absorption spectroscopy is a powerful tool to reveal excited state dynamics in various materials. Conventionally, probe pulses are generated via bulk supercontinuum generation or (noncollinear) optical parametric amplifiers whilst pump pulses are generated separately using (noncollinear) optical parametric amplifiers. These systems are limited by either their spectral density, stability, spectral range, and/or temporal compressibility. Recently, a new intense broadband light source is being developed, the multi-plate compression, which promises to overcome these limitations. In this paper, we analyze the supercontinuum generated by a single Multiple Plate Compression system to set a benchmark for its use in the field of ultrafast pump-probe spectroscopy. We have compressed the supercontinuum to 3.3 fs using chirp mirrors alone, making it an excellent candidate for pump-probe experiments requiring high temporal resolution. Furthermore, the single light source can be used to generate both probe and pump pulses due to its high spectral density (>14.5 nJ/nm) between 490 and 890 nm. The intensity has an average shot-to-shot relative standard deviation of 4.6 % over 490 to 890 nm, calculated over 2,000 sequential shots. By using only 1,000 shot pairs, a $$\Delta T/T$$ Δ T / T noise level of $$2.6\times 10^{-4}$$ 2.6 × 10 - 4 RMS is achieved. Finally, as a proof of concept, the transient absorption spectrum of a methylammonium lead iodide perovskite film is taken, showing great signal to noise with only 1,000 shot pairs. These results show great potential for the employment of this technique in other spectroscopic techniques such as coherent multidimensional spectroscopy.

Objectives The aim of this study was to explore the difference in target vessel failure (TVF) 3 years after intravascular ultrasound (IVUS) guidance versus angiographic guidance among all comers undergoing second-generation drug-eluting stent (DES) implantation. Background The multicenter randomized ULTIMATE (Intravascular Ultrasound Guided Drug Eluting Stents Implantation in “All-Comers” Coronary Lesions) trial showed a lower incidence of 1-year TVF after IVUS-guided DES implantation among all comers compared with angiographic guidance. However, the 3-year clinical outcomes of the ULTIMATE trial remain unknown. Methods A total of 1,448 all comers undergoing DES implantation who were randomly assigned to either IVUS guidance or angiographic guidance in the ULTIMATE trial were followed for 3 years. The primary endpoint was the risk for TVF at 3 years. The safety endpoint was definite or probable stent thrombosis (ST). Results At 3 years, TVF occurred in 47 patients (6.6%) in the IVUS-guided group and in 76 patients (10.7%) in the angiography-guided group (p = 0.01), driven mainly by the decrease in clinically driven target vessel revascularization (4.5% vs. 6.9%; p = 0.05). The rate of definite or probable ST was 0.1% in the IVUS-guided group and 1.1% in the angiography-guided group (p = 0.02). Notably, the IVUS-defined optimal procedure was associated with a significant reduction in 3-year TVF relative to that with the suboptimal procedure. Conclusions IVUS-guided DES implantation was associated with significantly lower rates of TVF and ST during 3-year follow-up among all comers, particularly those who underwent the IVUS-defined optimal procedure compared with those with angiographic guidance. (Intravascular Ultrasound Guided Drug Eluting Stents Implantation in “All-Comers” Coronary Lesions; NCT02215915 )

The study of ecohydrological processes within vegetated terrestrial ecosystems is one of the new frontiers in ecology, hydrology and global change studies, and one of the most theoretical areas in ecohydrology. In recent years, a great deal of research has been conducted on the interactions between vegetative ecological processes and hydrologic processes, ranging from plant cells scales to whole continent scale. These studies have made great progress in changing the way we think and approach both ecology and hydrology. However, from the perspective of Ecohydrology, a discipline that integrates Ecology and Hydrology, there is an urgent need to systematically summarize the progress of multi-scale theories and methods and to present new ideas on the theoretical frontiers in this emergent field. This review synthesizes and evaluates recent findings and future challenges in the science and modeling of ecohydrological progress in terrestrial vegetative systems including: (1) Plant water use and regulation; (2) coupled carbon-nitrogen-water cycle processes and modeling; (3) ecological effects of key processes in the hydrologic cycle; (4) influence of vegetation on the generation and alteration of runoff and overland flow; (5) feedback effects from changes in terrestrial vegetation ecological water cycle on localized and regional precipitation pattern. The main progress in these five aspects of ecohydrology at multi-scales and across-scales is systematically summarized, with special attention given to the development of process-based quantitative models. Based on our synthesis of progress in the ecohydrology of terrestrial vegetation systems, we identify the four primary avenues for future research. First, it is necessary to clarify the effectiveness of the “triangular trade-off relationship” among water transmission efficiency and safety, and those mechanisms underlying plant water use strategies are given that plant water use strategies and water regulation mechanisms under changing environmental conditions are the foundation of ecohydrological theory. Accordingly, an exploration of the internal associations among this “triangular trade-off relationship” and root hydraulics redistribution, ecohydrological separation, and isohydric characteristics will be needed. Special attention is needed for a better understanding of the multi-scale mechanisms for plant water use and regulation at the individual-community scale. Second, in the light of marginal water consumption during vegetative carbon assimilation, we explore the multi-coupling relationships among marginal water consumption and environmental factors such as light intensity and water availability and variations in the relationship among various vegetation types and growth stages. The ecosystem carbon-water coupling parameters that have clear ecological significance across scales need to be determined and highlighted. It is also important to develop a cross-scale carbon and water flux modeling method based on the canopy optimal conductivity theory. Third, how and to what extent the water availability and its dynamic changes restrict ecosystem carbon and nitrogen process is one of the frontier bottlenecks that need to be resolved to advance global change ecology. It is necessary to systematically clarify the complex interactions and threshold conditions between the water availability, nitrogen supply, and carbon benefits of the ecosystem. Development of mechanism models for the full coupling of ecosystem carbon and nitrogen cycling and hydrologic cycle processes are also crucial. Fourth, the vegetation factors and mechanisms in the terrestrial water cycle remain key issues for continued attention in the future. The core issue is the identification and quantitative description of ecological factors in the formation and dynamic changes in runoff. On a larger spatial scale, it is also vital to accurately analyze the atmospheric feedback and contribution range of changes in precipitation from the vegetation cover changes in the relevant regions based on the understanding of the impact of land surface vegetation structure changes on the land-atmosphere coupling relationship.

PurposeIn 2015, one university student in KC – a small town in regional Australia – unknowingly launched a resistance movement and national debate on modern wage theft. We apply labour process theory to analyse accounting's role in this case.Design/methodology/approachWe study multiple instances of wage theft in one Australian town. This case site reveals how wage theft can emerge in a developed economy with well-established legal and institutional constraints. We use Thompson's “core” labour process theory to analyse accounting's role via two interrelated dialectics: (1) structure and agency and, (2) control and resistance.FindingsAccounting was “weaponised” by both sides of the controversy: as a tool of employer control and as a vehicle for student resistance. Digital technologies enabled employee resistance to form unconsciously and organically. Proponents mobilised informally, with information and accounting the ammunition.Social implicationsWage theft affects industrialised as well as developing economies, especially “precarious” workers. We show how accounting can conceal exploitation, but also how – with the right support – accounting can help vulnerable workers enforce their rights and entitlements.Originality/valueThe paper uncovers novel dynamics of exploitation and resistance at work under contemporary economic and technological conditions. Labour process theory can provide a more dialectical perspective on accounting's role in these dynamics, including the emancipatory potential of informal and opportunistic counter-accounts.

Purpose Chemotherapy of colon cancer needs improvement to mitigate the severe adverse effects (AEs) associated with the cytotoxic drugs. The aim of this study is to develop a novel targeted drug delivery system (TDDS) with practical application potential for colon cancer treatment. Methods The TDDS was built by loading docetaxel (DTX) in albumin nanoparticles (NPs) that were functionalized with nucleolin-targeted aptamers (AS1411). Results The TDDS (Apt-NPs-DTX) had an average size of 62 nm and was negatively charged with a zeta potential of -31.2 mV. DTX was released from the albumin NP with a typical sustained release profile. Aptamer-guided NPs were preferentially ingested by nucleolin-expressing CT26 colon cancer cells vs the control cells. In vitro cytotoxicity study showed that Apt-NPs-DTX significantly enhanced the killing of CT26 colon cancer cells. Importantly, compared with non-targeted drug delivery, Apt-NPs-DTX treatment significantly improved antitumor efficacy and prolonged the survival of CT26-bearing mice, without raising systemic toxicity. Conclusion The results suggest that Apt-NPs-DTX has potential in the targeted treatment of colon cancer.

Background Currently, there are no drugs that have been proven to be effective against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Because of its broad antiviral activity, interferon (IFN) should be evaluated as a potential therapeutic agent for treatment of coronavirus disease 2019 (COVID-19), especially while COVID-19-specific therapies are still under development. Methods Confirmed COVID-19 patients hospitalized in the First Affiliated Hospital, School of Medicine, Zhejiang University in Hangzhou, China, from January 19 to February 19, 2020 were enrolled in a retrospective study. The patients were separated into an IFN group and a control group according to whether they received initial IFN-α2b inhalation treatment after admission. Propensity-score matching was used to balance the confounding factors. Results A total of 104 confirmed COVID-19 patients, 68 in the IFN group and 36 in the control group, were enrolled. Less hypertension (27.9% vs. 55.6%, P=0.006), dyspnea (8.8% vs. 25.0%, P=0.025), or diarrhea (4.4% vs. 19.4%, P=0.030) was observed in the IFN group. Lower levels of albumin and C-reactive protein and higher level of sodium were observed in the IFN group. Glucocorticoid dosage was lower in the IFN group (median, 40 vs. 80 mg/d, P=0.025). Compared to the control group, fewer patients in the IFN group were ventilated (13.2% vs. 33.3%, P=0.015) and admitted to intensive care unit (ICU) (16.2% vs. 44.4%, P=0.002). There were also fewer critical patients in the IFN group (7.4% vs. 25.0%, P=0.017) upon admission. Although complications during admission process were comparable between groups, the discharge rate (85.3% vs. 66.7%, P=0.027) was higher and the hospitalization time (16 vs. 21 d, P=0.015) was shorter in the IFN group. When other confounding factors were not considered, virus shedding time (10 vs. 13 d, P=0.014) was also shorter in the IFN group. However, when the influence of other factors was eliminated using propensity score matching, virus shedding time was not significantly shorter than that of the control group (12 vs. 15 d, P=0.206). Conclusions IFN-α2b spray inhalation did not shorten virus shedding time of SARS-CoV-2 in hospitalized patients.

Uterine carcinosarcoma (UCS) is a relatively infrequent, but extremely aggressive endometrial malignancy. Although surgery and chemotherapy have improved outcomes, overall survival (OS) remains dismal due to the lack of targeted therapy and biphasic (epithelial and mesenchymal) nature that renders the tumor aggressive and difficult to manage. Here we report a role of transforming growth factor-β (TGFβ) in maintaining epithelial to mesenchymal transition (EMT) phenotype and aggressiveness in UCS. Using a 3D-culture system, we evaluated the efficacy of the transforming growth factor-β receptor-I (TGFβR1) kinase inhibitor Galunisertib (GLT), alone and in combination with standard chemotherapeutic drugs used for the management of UCS. We demonstrate that GLT by inhibiting canonical and non-canonical signaling emanating from transforming growth factor-β1 (TGFβ1) reduces cellular viability, invasion, clonal growth and differentiation. Interestingly, GLT sensitizes UCS cells to chemotherapy both in vitro and in in vivo preclinical tumor model. Hence, targeting TGFβ signaling, in combination with standard chemotherapy, may be exploited as an important strategy to manage the clinically challenging UCS.

PurposeThis paper examines how accounting either contributes to or undermines worker resistance to unfair pay, thereby enhancing our current understanding of the emancipatory potential of accounting.Design/methodology/approachWe apply Jacques Rancière's concept of politics and build on recent calls to introduce Rancière's work to accounting by analysing a case based on workers in an Australian supermarket chain who challenged their employer Coles over wage underpayments.FindingsWe find that in this case, accounting is, in part, a means to politics and a part of the police in Rancière's sense. More specifically, accounting operated within the established order to constrain the workers, but also provided workers with a resource for their political acts that enabled change.Originality/valueThis empirical research adds to Li and McKernan (2016) and Brown and Tregidga (2017) conceptual work on Rancière. It also contributes more broadly to emancipatory accounting research by identifying radical possibilities for workers' accounting to bring about change.

To evaluate the effect of Chinese medicine (CM) treatment on survival time and quality of life (QOL) in patients with small cell lung cancer (SCLC). This was an exploratory and prospective clinical observation. Patients diagnosed with SCLC receiving CM treatment were included and followed up every 3 months. The primary outcome was overall survival (OS), and the secondary outcomes were progression-free survival (PFS) and QOL. A total of 136 patients including 65 limited-stage SCLC (LS-SCLC) patients and 71 extensive-stage SCLC (ES-SCLC) patients were analyzed. The median OS of ES-SCLC patients was 17.27 months, and the median OS of LS-SCLC was 40.07 months. The survival time was 16.27 months for SCLC patients with brain metastasis, 9.83 months for liver metastasis, 13.43 months for bone metastasis, and 18.13 months for lung metastasis. Advanced age, pleural fluid, liver and brain metastasis were risk factors, while longer CM treatment duration was a protective factor. QOL assessment indicated that after 6 months of CM treatment, scores increased in function domains and decreased in symptom domains. CM treatment might help prolong OS of SCLC patients. Moreover, CM treatment brought the trend of symptom amelioration and QOL improvement. These results provide preliminary evidence for applying CM in SCLC multi-disciplinary treatment.

To observe the effects of laurocapram and borneol as transdermal penetration enhancers applied to herbal cake-partitioned moxibustion on liver lipids, hormone-sensitive lipase (HSL) and hydroxymethylglutaryl CoA (HMG-CoA) reductase in hyperlipidemia rabbits. Forty New-Zealand rabbits were randomly divided into 5 groups using the random number table method, with 8 rats in each group. Rabbits in the blank group were fed routinely with a normal diet; rabbits in the other groups were fed with high-fat diet for 12 weeks to establish the hyperlipidemia model. Rabbits in the blank and the model groups were not given any intervention. After the model was prepared successfully, rabbits in the non-transdermal penetration enhancer group received herbal cake-partitioned moxibustion without transdermal penetration enhancers; rabbits in the laurocapram group and the borneol group received herbal cake-partitioned moxibustion with laurocapram or borneol respectively. After 4 weeks of treatment, the serum was isolated and enzyme-linked immunosorbent assay (ELISA) was applied for the detection of HSL and HMG-CoA reductase. The liver tissues were isolated, and total cholesterol (TC) and triglycerides (TG) were measured by enzymatic methods. One-step method was applied for high-density lipoprotein cholesterol (HDL-C) and low-density lipoprotein cholesterol (LDL-C) detection, and transmission turbidimetry was for apolipoprotein A1 (Apo-A1) and apolipoprotein B (Apo-B) detection. The serum concentrations of the drugs in the laurocapram and the borneol groups were significantly higher than those in the non-transdermal penetration enhancer group (both P

Background A novel coronavirus called severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), first identified in Wuhan, China, has been rapidly spreading around the world. This study investigates the epidemiological and clinical characteristics of coronavirus disease 2019 (COVID-19) patients in Zhejiang Province who did or did not have a history of Wuhan exposure. Methods We collected data from medical records of confirmed COVID-19 patients in Zhejiang Province from Jan. 17 to Feb. 7, 2020 and analyzed epidemiological, clinical, and treatment data of those with and without recorded recent exposure in Wuhan. Results Patients in the control group were older than those in the exposure group ((48.19±16.13) years vs. (43.47±13.12) years, P

Objective: To observe the lipid-lowering effect of different transdermal absorption enhancers applied to the herbal cake-partitioned moxibustion in hyperlipidemia model rabbits, and to explore the possible mechanism. Methods: Forty New-Zealand rabbits were randomly divided into 5 groups using the random number table method, with 8 rats in each group. Rabbits in the blank group were fed routinely with normal diet; rabbits in the other groups were fed with high-fat diet for 12 weeks to establish the hyperlipidemia model. Rabbits in the blank and the model groups were not treated. After the model was prepared, rabbits in the non-transdermal absorption enhancer group received herbal cake-partitioned moxibustion without transdermal absorption enhancer; rabbits in the laurocapram group and the borneol group received herbal cake-partitioned moxibustion with laurocapram or borneol respectively. After 4 weeks of treatment, serum was collected for enzyme-linked immunosorbent assay (ELISA), and the liver tissues were isolated for immunohistochemistry, quantitative polymerase chain reaction (qPCR) and Western-blotting (WB) detection. Results: Serum ELISA results showed that leptin was significantly decreased in the model group compared with the blank group (P 0.05). The qPCR results of rabbit liver tissues showed that the mRNA expressions of leptin, Janus kinase 2 (JAK2) and signal transducer and activator of transcription 3 (STAT3) in the model group were significantly lower than those in the blank group (all P

Erythropoietic protoporphyria (EPP) is a rare inherited disease whose morbidity is about 1:75,000 to 1:200,000. It is caused by the deficiency of porphyrin ferrochelatase (FECH). Liver involvement in EPP is even rarer. The diagnosis of EPP with liver involvement mainly relies on clinical manifestations, laboratory examinations, histopathological examinations and genetic testing, which is still a huge challenge for both clinicians and pathologists. Here, 5 cases of EPP with liver injury were collected, and the clinicopathological features of these patients were analyzed. The clinical manifestations and laboratory examinations varied from person to person, whereas the liver biopsies showed that there were dark brown deposits within the hepatocytes, Kupffer cells, bile canaliculi and the lumen of bile ducts, which was a constant finding by histopathological examination. Gene tests were conducted in two of the five cases, and the results confirmed the diagnosis. Fully understanding of the diseases can help us reduce the rate of missed diagnosis and provide proper treatment as early as possible.

Identifying biomarkers for hearing impairments (HIs) in patients with neonatal hypoxic–ischemic encephalopathy (HIE), to initialize early hearing habilitation, is crucial. Seventy-eight neonates with HIE were divided into the following two groups: those with HIs and those without HIs. We compared those patients with 11,837 newborns without HIE, and analyzed the risk factors of HIs among neonatal HIE. Of the 78 patients, 11 were confirmed to have an HI, which is a substantially higher percentage than in the 11,837 newborns without HIE (14.1% vs. 0.87%, p &lt, 0.001). More patients with moderate-to-severe HIE had confirmed HIs (p = 0.020, odds ratio, 8.61) than those with mild HIE. Clinical staging, and blood lactate and glucose levels could be predictive factors for HIs among patients with HIE. The patients who exhibited HIs had significantly higher lactate (104.8 ± 51.0 vs. 71.4 ± 48.4, U = 181, p = 0.032) and serum glucose (159.5 ± 86.1 vs. 112.1 ± 62.3, U = 166, p = 0.036) levels than those without HIs. A higher prevalence of HIs was noted in the patients with stage III HIE than those with stage II HIE (43.8% vs. 10%, p = 0.008). The degree of HI correlated with brain anomalies and neurodevelopmental outcomes at 1 year of age. Clinical staging, and blood lactate and glucose levels could be predictive factors for HIs among patients with HIE.

Troponin I is a biomarker for cardiac injury in children. The role of troponin I in neonatal Hypoxic–Ischemic encephalopathy (HIE) may have valuable clinical implications. Troponin I levels were measured within 6 h of birth to determine their relationship to HIE stage, short-term cardiac functional outcomes, and neurodevelopmental outcomes at 1 year. Seventy-three patients were divided into two groups: mild HIE and moderate to severe HIE. Troponin I levels within 6 h of birth were obtained in 61 patients, and were significantly higher in patients with moderate to severe HIE than in patients with mild HIE (Mann–Whitney U test, U = 146, p = 0.001). A troponin I cut-off level of ≥60 pg/mL predicted moderate to severe HIE with a specificity of 81.1% and a negative prediction rate of 76.9%. A troponin I cut-off level of ≥180 pg/mL was significantly (χ2 (1, n = 61) = 33.1, p = 0.001, odds ratio 96.8) related with hypotension during first admission and significantly (χ2 (1, n = 61) = 5.3, p = 0.021, odds ratio 4.53) related with abnormal neurodevelopmental outcomes at 1 year. Early troponin I level may be a useful biomarker for predicting moderate to severe HIE, and initialization of hypothermia therapy.

An InGaN laser diode with InGaN–GaN–InGaN delta barriers was designed and investigated numerically. The laser power–current–voltage performance curves, carrier concentrations, current distributions, energy band structures, and non-radiative and stimulated recombination rates in the quantum wells were characterized. The simulations indicate that an InGaN laser diode with InGaN–GaN–InGaN delta barriers has a lower turn-on current, a higher laser power, and a higher slope efficiency than those with InGaN or conventional GaN barriers. These improvements originate from modified energy bands of the laser diodes with InGaN–GaN–InGaN delta barriers, which can suppress electron leakage out of, and enhance hole injection into, the active region.

Drug metabolism is an orchestrated process in which drugs are metabolized and disposed through a series of specialized enzymes and transporters. Alterations in the expression and/or activity of these enzymes and transporters can affect the bioavailability (pharmacokinetics, or PK) and therapeutic efficacy (pharmacodynamics, or PD) of drugs. Recent studies have suggested that the long non-coding RNAs (lncRNAs) are highly relevant to drug metabolism and drug resistance, including chemo-resistance in cancers, through the regulation of drug metabolism and disposition related genes. This review summarizes the regulation of enzymes, transporters, or regulatory proteins involved in drug metabolism by lncRNAs, with a particular emphasis on drug metabolism and chemo-resistance in cancer patients. The perspective strategies to integrate multi-dimensional pharmacogenomics data for future in-depth analysis of drug metabolism related lncRNAs are also proposed. Understanding the role of lncRNAs in drug metabolism will not only facilitate the identification of novel regulatory mechanisms, but also enable the discovery of lncRNA-based biomarkers and drug targets to personalize and improve the therapeutic outcome of patients, including cancer patients., Graphical abstract Drug metabolism and disposition affect drug bioavailability and efficacy. Emerging evidence has pointed an essential role of long non-coding RNAs (lncRNAs) in regulating drug metabolism and disposition. This review summarizes current understanding of the mechanism by which lncRNAs regulate drug metabolism and disposition, and implications of this regulation in chemo-resistance.Image 1

Intense ultrashort laser pulses at 1.55 μ m are generated by a home-built light source and compressed to 20 fs by multiple plate continuum (MPC) and Fourier pulse shaping. The entire system consists of three building blocks, responsible for seed generation, optical parametric chirped pulse amplification (OPCPA), and nonlinear compression. A commercial Yb:KGW amplifier pumps a difference frequency generator and an optical parametric amplifier (OPA) to generate 1 kHz, 44 fs, 10 μ J, carrier-envelope phase stable seed pulses at 1.55 μ m. A grating–lens pair stretches the seed pulses to 50 ps by introducing a great amount of normal group delay dispersion (GDD). After that, the chirped pulse energy is boosted to 5 mJ by two OPA stages pumped by a commercial Nd:YAG amplifier (30 mJ, 85 ps). To compress the amplified pulses, a grating pair compressor providing an adequate amount of anomalous GDD is employed. The OPCPA system eventually delivers 3 mJ and 80 fs pulses, limited by the phase-matching bandwidth of nonlinear crystals. To further compress the pulse duration, pulses are sent to an MPC stage, which consisted of nine pieces of 200- μ m-thick quartz plates. The OPCPA output spectrum is broadened by four times and compressed to 20 fs (3.6 carrier cycles) by a femtosecond Fourier-transform pulse shaper. The pulses are characterized by polarization gating cross-correlation frequency-resolved optical gating. Due to the high pondermotive force, an intense and long-wavelength laser system like this is useful in seeding a MeV-level electron accelerator and generating coherent soft X-ray high-harmonic generation.

The machine learning-based car-following models are widely adopted to control the longitudinal movements of automated vehicles, such as Google Car and Apple Car, by mimicking the human drivers’ car-following maneuver. However, like human drivers, the models easily produce unsafe maneuvers for automated vehicles and has low robustness, especially in uncommon situations. To improve the machine learning-based car-following models, this paper proposes to combine the machine learning models with the kinematics-based car-following models that can overcome the shortcomings of machine learning models, using an optimal combination prediction method, which is called the combination car-following model in the paper. The selected kinematics-based car-following model is the Gipps model that has an intrinsic crash-avoidance mechanism, and the used machine learning-based models are the Back-Propagation Neural Networks (BPNN) model and Random Forest (RF) model, producing the two CCF models, the Gipps-RF model and Gipps-BPNN model. The real vehicle trajectory data sets are applied to calibrate and validate the proposed models, and simulations are conducted to evaluate the model performances. The results display that the proposed CCF models can enhance safety level and robustness of the car-following control of automated vehicles. Both the two CCF models have better performance than the BPNN and RF car-following models in reducing congestion, stabilizing traffic, and avoiding crashes, especially the Gipps-BPNN model.

To observe the effect of moxibustion on T lymphocyte subsets in peripheral blood of rats with gastric cancer. Sixty healthy Sprague-Dawley (SD) rats were adaptively fed for one week. By the random number table method, 10 rats were randomly selected as a blank group, and 12 rats were randomly selected to simulate the tumor transplantation process; after transplantation, 10 rats were randomly selected as a sham operation group. The remaining 38 rats were used to prepare gastric cancer models by gastric transplantation of the Walker-256 tumor tissue; 8 rats were randomly selected to verify the successful modeling after 7 d; the remaining 30 rats were randomly divided into a model group, a moxibustion group and an infrared group by the random number table method, with 10 rats in each group. From the first day of enrollment, the rats in the moxibustion group received mild moxibustion at Zhongwan (CV 12), Guanyuan (CV 4) and bilateral Zusanli (ST 36) (the first group) and bilateral Pishu (BL 20) and Weishu (BL 21) (the second group), and the two groups of acupoints were alternated every other day. The rats in the infrared group received infrared radiation on the stomach area and the area on the back between the T12-T13 spinous processes, the two areas were alternated every other day. Rats in the moxibustion group and the infrared group were treated for 20 min each time, once a day for 21 d. Rats in the blank group, the sham operation group, and the model group were simultaneously grasped and fixed, and no other treatment was performed. After 21 d of intervention, the rats in each group were fasted for 12 h, and blood was collected from the orbits. The numbers of CD3+, CD3+CD4+, CD3+CD8+ T lymphocytes in peripheral blood were determined by flow cytometry, and the ratio of CD3+CD4+/CD3+CD8+ was calculated. The rats were sacrificed and the thymus was dissected under sterile conditions to calculate the thymus index. Compared with the blank group, the thymus index, peripheral blood CD3+, CD3+CD4+, CD3+CD8+ and CD3+CD4+/CD3+CD8+ ratio in the sham operation group did not change significantly (all P>0.05). Compared with the blank group, the thymus index of the model group was increased (P

Adrenal pheochromocytoma (PCC) is a very rare tumor that stems from chromaffin cells, which can develop into malignant tumor. During the operation, abundant blood vessels were often observed in PCC than other adrenal tumors, which increases the difficulty and risk of the surgery. Therefore, it is important to investigate the mechanism of PCC angiogenesis. Twelve surgical specimens of PCC from Ruijin Hospital, Shanghai Jiaotong University were grouped into high and low microvessel density (MVD) group. They were also divided into rich blood supply and nonenriched blood supply group, according to computed tomography (CT) manifestation. Comparative proteomic analysis based on liquid chromatography-tandem mass spectrometry (LC-MS/MS) and bioinformatics analysis revealed that 206 proteins differentially regulated in the high MVD group compared with low MVD group (p < 0.05). Besides, 61 proteins were discovered to be significantly changed when the 12 samples were grouped according to CT manifestation. By intersecting the differentially changed protein from MVD and CT grouping, 25 proteins were filtered out, with pathological function. COX4I2 was verified to be increased gradually with angiogenesis with increasing severity, and PLAT was shown to be decreased with angiogenesis in PCC, by quantitative reverse-transcription polymerase chain reaction and immunohistochemistry. The quantitative proteomics result indicated that the tumor angiogenesis in PCC is associated with hypoxia. COX4I2 and PLAT were highly correlated with blood supply in PCC which contribute to angiogenesis in PCC, which could be used as biomarkers to better indicate tumor angiogenesis, or targets to regress tumor angiogenesis as treatment.

Background Intravascular ultrasound (IVUS)-guided drug-eluting stent (DES) implantation is associated with fewer major adverse cardiovascular events compared with angiography guidance for patients with individual lesion subset. However, the beneficial effect on major adverse cardiovascular event outcome of IVUS guidance over angiography guidance in all-comers who undergo DES implantation still remains understudied. Objectives This study aimed to determine the benefits of IVUS guidance over angiography guidance during DES implantation in all-comer patients. Methods A total of 1,448 all-comer patients who required DES implantation were randomly assigned (1:1 ratio) to either an IVUS guidance or angiography guidance group. The primary endpoint was target-vessel failure (TVF) at 12 months, including cardiac death, target-vessel myocardial infarction, and clinically driven target-vessel revascularization (TVR). The procedure was defined as a success if all IVUS-defined optimal criteria were met. Results At 12 months follow-up, 60 TVFs (4.2%) occurred, with 21 (2.9%) in the IVUS group and 39 (5.4%) in the angiography group (hazard ratio [HR]: 0.530; 95% confidence interval [CI]: 0.312 to 0.901; p = 0.019). In the IVUS group, TVF was recorded in 1.6% of patients with successful procedures, compared with 4.4% in patients who failed to achieve all optimal criteria (HR: 0.349; 95% CI: 0.135 to 0.898; p = 0.029). The significant reduction of clinically driven target-lesion revascularization or definite stent thrombosis (HR: 0.407; 95% CI: 0.188 to 0.880; p = 0.018) based on lesion-level analysis by IVUS guidance was not achieved when the patient-level analysis was performed. Conclusions The present study demonstrates that IVUS-guided DES implantation significantly improved clinical outcome in all-comers, particularly for patients who had an IVUS-defined optimal procedure, compared with angiography guidance. (Intravascular Ultrasound Guided Drug Eluting Stents Implantation in “All-Comers” Coronary Lesions [ULTIMATE]; NCT02215915)

Osteoarthritis (OA) is the most prevalent joint disease that causes an enormous burden of disease worldwide. (-)-Epigallocatechin 3-gallate (EGCG) has been reported to reduce post-traumatic OA progression through its anti-inflammatory property. Aging is the most crucial risk factor of OA, and the majority of OA incidences are related to age and not trauma. In this study, we assess whether EGCG can ameliorate cartilage degradation in primary OA. In an in-vitro study, real-time PCR was performed to assess the expression of genes associated with human articular chondrocyte homeostasis. A spontaneously occurring OA model in guinea pigs was used to investigate the effect of EGCG in vivo. OA severity was evaluated using Safranin O staining and Osteoarthritis Research Society International (OARSI) scores, as well as by immunohistochemical (IHC) analysis to determine the protein level of type II collagen (Col II), matrix metalloproteinase 13 (MMP-13), and p16 ink4a in articular cartilage. In the in-vitro study, EGCG increased the gene expression of aggrecan and Col II and decreased the expression of interleukin-1, cyclooxygenase 2, MMP-13, alkaline phosphatase, Col X, and p16 Ink4a, EGCG treatment also attenuated the degraded cartilage with a lower OARSI score. Meanwhile, IHC results showed that EGCG exerted an anti-OA effect by reducing ECM degradation, cartilage inflammation, and cell senescence with a less-immunostained Col II, MMP-13, and p16 Ink4a. In conclusion, these findings suggest that EGCG may be a potential disease-modifying OA drug for the treatment of primary OA.

Spatial-spectral characteristics of Yb:KGW laser pulses passing through a multi-pass cell and a multiple-plate continuum are analyzed. The former exhibits slightly better spectral homogeneity under the same degree of spectral broadening due to less B-integral per pass.

We propose a new architecture, double-pass multiple-plate compression (DPMPC), for nonlinear pulse compression. The design of double optical passes avoids pushing the nonlinear phase shift to the limit (as opposed to traditional single-stage MPC). The moderately broadened spectrum in the first optical pass permits quality dispersion compensation by highly dispersive mirrors (as opposed to multi-pass cell), which is beneficial for further spectral broadening in the second optical pass. As a result, DPMPC realizes the advantages of MPC and multi-pass cell simultaneously with a simple and compact geometry.

Light field (LF) images captured by LF cameras can store the intensity and direction information of light rays in the scene, which have advantages in many computer vision tasks, such as 3D reconstruction, target tracking and so on. But there is a trade-off between the spatial and angular resolution of LF images due to the fixed resolution of sensor in LF cameras. So LF image super-resolution (SR) is widely explored. Most of the existing methods do not consider the different degree of importance of spatial and angular information provided by other views in LF. So we propose a LF spatial-angular attention module (LFSAA) to adjust the weights of spatial and angular information in spatial and angular domain respectively. Based on this module, a LF image SR network is designed to super-resolve all views in LF simultaneously. And we further combine the LF image SR network with single image SR network to improve the ability to explore spatial information of a single image in LF. Experiments on both synthetic and real-world LF datasets have demonstrated the performance of our method.

Deep leaning is implemented to retrieve the spectral phase profiles of ultrashort pulses by using spectrally truncated spectrograms for the first time (to our best knowledge).

Real-time monitoring of structural health conditions for rotary objects is of importance for safety assessments. In this work, an efficient algorithm based on digital image correlation is presented to achieve accurate rotational matching in real time. The proposed algorithm measures rotation in object motion with an integer pixel search followed by a subpixel correlation refinement. In the integer pixel search, the reference subset is rotated inversely to facilitate the correlation computation between the reference and target subsets. Then an independent and global integer pixel search for each point of interest is performed by applying the particle swarm optimization algorithm. Finally, a modified iterative registration algorithm is introduced to refine the displacement in the subpixel level by considering both the rotation angle and displacement components. Simulation and rotation experiments demonstrate that the proposed method achieves rapid and accurate measurements and is an effective method for retrieving the rotation data of rotating structures.

Introduction Elevated liver enzyme levels are observed in patients with coronavirus disease 2019 (COVID-19); however, these features have not been characterized. Methods Hospitalized patients with COVID-19 in Zhejiang Province, China, from January 17 to February 12, 2020, were enrolled. Liver enzyme level elevation was defined as alanine aminotransferase level >35 U/L for men and 25 U/L for women at admission. Patients with normal alanine aminotransferase levels were included in the control group. Reverse transcription polymerase chain reaction was used to confirm severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, and patients symptomatic with SARS-CoV-2 infection were defined as patients with COVID-19. Epidemiological, demographic, clinical, laboratory, treatment, and outcome data were collected and compared. Results Of 788 patients with COVID-19, 222 (28.2%) patients had elevated liver enzyme levels (median [interquartile range {IQR}] age, 47.0 [35.0-55.0] years; 40.5% women). Being male, overweight, and smoking increased the risk of liver enzyme level elevation. The liver enzyme level elevation group had lesser pharyngalgia and more diarrhea than the control group. The median time from illness onset to admission was 3 days for liver enzyme level elevation groups (IQR, 2-6), whereas the median hospitalization time for 86 (38.7%) discharged patients was 13 days (IQR, 11-16). No differences in disease severity and clinical outcomes were noted between the groups. Discussion We found that 28.2% of patients with COVID-19 presented with elevated liver enzyme levels on admission, which could partially be related to SARS-CoV-2 infection. Male patients had a higher risk of liver enzyme level elevation. With early medical intervention, liver enzyme level elevation did not worsen the outcomes of patients with COVID-19.

Immunotherapy targeting the PD-1/PD-L1 receptor has achieved great success in melanoma patients. Although many studies have addressed the underlying mechanisms involved in the blockade of PD-1/PD-L1 and the consequent modulation of the immune system, the mechanisms of PD-L1 upregulation and reliable biomarkers to predict the efficacy of anti-PD-1/PD-L1 therapy remain unknown. The present study demonstrates the correlation between IGFBP2 and PD-L1, revealing a novel immune-associated tumor function of IGFBP2 in facilitating nuclear accumulation of EGFR and activation of the EGFR/STAT3/PD-L1 signaling pathway in melanoma cells. Our results also suggest that combined IGFBP2 and PD-L1 expression has the potential to predict the efficacy of anti-PD-1 treatment for malignant melanoma; because the combination of high IGFBP2 and PD-L1 expression characterizes melanoma patients with worse overall survival and is associated with a better immune ecosystem. These characteristics have been confirmed by both in vitro and in vivo data. Consequently, IGFBP2 regulates PD-L1 expression by activating the EGFR-STAT3 signaling pathway and its function as a PD-L1 regulator might suggest novel therapeutic approach for melanoma.

We demonstrate the potential of the multiple-plate compression in transient absorption spectroscopy. The bright light source is used for both 3.3 fs pump and 490 nm to 980 nm broadband probe. Keyword components – Transient Absorption Spectroscopy; Supercontinuum Generation © 2020 The Authors

It has remained a great challenge to design a tissue engineering scaffold for tissue regeneration, which should be suitable for cell adhesion, proliferation and differentiation. One possible solution may be to fabricate the scaffolds with the stable mechanical property, controllable pore size and good interconnectivity, and allowing homogenous cell distribution.This study described the key technology of fabricating three-dimensional (3D) mPEG-PCL-mPEG scaffolds combined with cell-laden gelatin methacrylate (GelMA) hydrogels. Firstly, a dual-nozzle 3D printing system was successfully developed using thermal extrusion coupled with a photo curable technique. Then, the triblock material mPEG-PCL-mPEG was synthesized and evaluated. Subsequently, the fabricated 3D mPEG-PCL-mPEG scaffolds were injected with cell-laden GelMA hydrogels. Finally, the mPEG-PCL-mPEG scaffolds were evaluated. The evaluation results showed that this 3DmPEG-PCL-mPEG scaffolds technology is a potentially powerful approach, which may be used in a variety of tissue engineering applications usc Refereed/Peer-reviewed

This study aimed to investigate the serological characteristics of Ebola virus (EBOV) infection during the late phase of the Ebola outbreak in Sierra Leone. In total, 877 blood samples from 694 suspected Ebola virus disease (EVD) cases assessed from March to December 2015, were analyzed via real-time reverse transcription polymerase chain reaction (RT-PCR) for viral RNA and enzyme-linked immunosorbent assay (ELISA) and Luminex to detect antibodies against EBOV. Viral load and EBOV-specific IgM/IgG titers displayed a declining trend during March to December 2015. Viral RNA load decreased rapidly at earlier stages after disease onset, while EBOV-specific IgM and IgG still persisted in 58.1% (18/31) and 93.5% (29/31) of the confirmed EVD patients and in 3.8% (25/663) and 17.8% (118/663) of the RNA-negative suspected patients in the later phase, respectively. Dynamic analysis of longitudinally collected samples from eight EVD patients revealed typically reversed trends of declining viral load and increasing IgM and/or IgG titers in response to the EBOV infection. The present results indicate that certain populations of Sierra Leone developed immunity to an EBOV infection in the late phase of the outbreak, providing novel insights into the risk assessment of EBOV infections among human populations.

Background The relationship between platelet reactivity and long-term clinical outcomes remains controversial. The present prospective study was designed to explore the association between high platelet reactivity (HPR) on clopidogrel and long-term clinical outcomes following implantation of drug eluting stents (DES). Methods A total of 1769 consecutive patients assessed by Aggrestar (PL-11) were enrolled at our center from February 2011 to December 2017. The primary end point was major adverse cardiovascular and cerebrovascular events (MACCE), defined as definite or probable stent thrombosis, spontaneous myocardial infarction, all cause death, clinically driven target vessel revascularization (TVR), or ischemic stroke. Bleeding served as the safety endpoint. Propensity score matching (PSM) analysis was performed to adjust for baseline differences in the overall cohort. Results Finally, 409 patients (23.1%) were identified with HPR on clopidogrel. At a median follow-up of 4.1 years (interquartile range, 1.8 years), the occurrence of MACCE was significantly higher in HPR on clopidogrel group than normal platelet reactivity (NPR) on clopidogrel group (15.6% vs. 5.4%, p

Since a light-field camera is able to capture more information than a traditional camera, a lot of methods, such as depth estimation, image super-resolution, and view synthesis, are explored for recovering scene information. In this paper, we propose a novel framework for scene recovery based on lenslet-based light-field camera images. Instead of using traditional matching terms, we design a new micro-lens-based matching term to calculate structure information and recover several kinds of scene information simultaneously. On the one hand, inherent information in micro-lens images is selected to complement details in sub-aperture images. On the other hand, sub-aperture images are used to expand micro-lens images and synthesize new view images. A new micro-lens-based consistency metric is introduced for the matching term to handle occlusions in depth estimation and image reconstruction. The newly appeared and newly occluded areas in synthesized views are analyzed and recovered based on information from surrounding points. Experimental results show that the proposed depth estimation method outperforms state-of-the-art methods on both synthetic and lenslet-based light-field images, especially in low-texture and occlusion regions. Furthermore, the super-resolution and view synthesis methods are able to acquire view images with more details and less aliasing artifacts.

Epipolar plane images (EPIs) contain special linear structures that reflect the disparity of a 3D point and are widely used in light field depth estimation. However, previous EPI-based approaches only utilize horizontal and vertical EPIs to estimate local disparities and ignore diagonal directions. In order to make full use of the regular grid light field images, we develop a strategy to extract epipolar plane images in all available directions. Based on the multi-orientation EPIs, a specific EPI in which the point is not occluded is found and used to calculate robust depth estimation. We also design a novel framework to estimate the depth information which combines the local depth with edge orientation. The multi-orientation EPIs and optimal orientation selection are proved to be effective in detecting and excluding occlusions. Experimental results show that the proposed method outperforms state-of-the-art depth estimation methods, especially near occlusion boundaries.

The light environments have an impact on the physiological and psychological environment by means of light and color to a certain degree, thereby affecting the visual health features. This study proposed to utilize a new index derived from clinical medicine, i.e., the root mean square contrast of ambient luminance to evaluate light environments. We explored the correlation among the RMS contrast and visual health features under non-glare conditions, so as to obtain the optimal luminance contrast range for visual health. We use visual task evaluation and physiological evaluation to represent visual health features. Eye-tracking glasses were utilized to record the physiological data of eyes, and the psychological software of E-Prime 3 was employed to record the efficiency data of visual tasks. Besides, the high dynamic range images were used to record light environment. The feasibility of the light environment evaluation by the RMS brightness contrast of the environment in the field of vision is verified experimentally. Through multiple regression analysis, an obvious relationship between the new index and the visual health features was obtained, and the best range of the new index was determined. The RMS contrast was typical within the range of [450,750] cd/m2, which ensures the visual health for good ocular performance and high work efficiency; in the case that this value exceeds 1000 cd/m2, visual health features will be adversely impacted. In this research, a comprehensive light comfort zone was proposed, which could present a valuable reference for the design of the indoor light environments.

In this paper, an assessment model based on multi-layer fuzzy comprehensive evaluation method (FCE) of classroom acoustical environment is proposed. The model classifies five major factors affecting overall assessment model into several subsets alternatives. The weightings of these main criteria and alternatives were collected through questionnaires among students based on analytic hierarchy process methodology (AHP). An evaluation score was calculated from the proposed model with the weightings generated from AHP method. In this paper, classrooms in the Hong Kong Polytechnic University were used to develop the assessment model. The result shows that the evaluation score of PolyU classrooms is about 87.2, which refers to “Good” evaluation set. It indicates that classrooms in PolyU needs to be improved. The weightings generated from AHP method can be considered for the importance of each alternatives. The assessment model can provide proper recommendation to universities for acoustic treatment so as to increase the acoustic quality of the educational environment.

The freeway accident detection and classification have attracted much attention of researchers in the past decades. With the popularity of Global Navigation Satellite System (GNSS) on mobile phones and onboard equipment, increasing amounts of real-time vehicle trajectory data can be obtained more and more easily, which provides a potential way to use the multi-vehicle trajectory data to detect and classify an accident on freeways. The data has the advantages of low cost, high penetration, high real-time performance, and being robust to the outdoor environment. Therefore, this paper proposes a new method for accident detection and classification based on the multi-vehicle trajectory data. Different from the existing methods using GNSS positioning data, the proposed method not only uses the position information of the related vehicles but also tries to capture the development tendencies of the trajectories of accident vehicles over a period of time. A Deep Convolutional Neural Network model is developed to recognize an accident from the normal driving of vehicles and also identify the type of the accident, and the six types of traffic accidents are considered in this study. To train and test the proposed model, the simulated trajectory data is generated based on PC-Crash, including the normal driving trajectories and the trajectories before, in, and after an accident. The results indicate that the detection accuracy of the proposed method can reach up to 100%, and the classification accuracy can reach up to 95%, which both outperform the existing methods using other data. In addition, to ensure the robustness of the detection accuracy, at least 1 s of duration and 5 Hz of frequency for the trajectory data should be adopted in practice. The study will help to accurately and fastly detect an accident, recognize the accident type, and future judge who is liable for the accident.

To investigate the effect of acupuncture plus mild hypothermia on neurological function impairment score, cerebral infarct size and apoptosis-related factors in cerebral ischemia reperfusion injury (CIRI) rats. Sixty healthy male Sprague-Dawley (SD) rats were routinely reared for 1 week. Ten rats were randomly selected as the sham operation group and 10 rats as the blank control group, while the remaining 40 rats were subjected to preparing the middle cerebral artery occlusion (MCAO) model by modified filament occlusion method. The 40 MCAO rats were further randomly divided into a model group, an acupuncture group, a mild hypothermia group and an acupuncture plus mild hypothermia group, with 10 rats in each group. Rats in the sham operation group, the blank control group and the model group did not accept treatment except binding; rats in the acupuncture group received acupuncture treatment; rats in the mild hypothermia group received mild hypothermia treatment; rats in the acupuncture plus mild hypothermia group received acupuncture and mild hypothermia treatment. 72 h after the treatment, neurological function impairment score was performed; the infarct area ratio was determined by 2,3,5-tripheyl tetrazolium chloride (TTC) staining; apoptosis of brain cells was observed by TUNEL method; the expressions of Bcl-2, Bax and Caspase-3 were detected by immunohistochemistry. Compared with the blank control group and the sham operation group, the neurological function impairment score, cerebral infarct area ratio, apoptosis, and the expressions of Bax and Caspase-3 in the model group were significantly increased, while the expression of Bcl-2 was significantly decreased, and there were significant between-group differences (all P

The effect of employing different carrier gases (H2 only and 1:1 vol% N2:H2) in the p-type GaN (p-GaN) layer on the wall-plug efficiency (WPE) of high-power light-emitting diodes (LEDs) is studied. Since GaN crystal could be a two-dimension (2-D) growth mode in H2 ambient, better quality and smoother surface of the p-GaN were obtained. The current spreading performance of the p-GaN layer using H2 alone as the carrier gas was enhanced, resulting in advanced light output power (LOP). In addition, turn-on voltage and dynamic resistance at 500 mA, which can strongly contribute to the WPE, were also reduced by 0.12 V and 0.13 Ω, respectively. The studied device with H2 as the carrier gas in the p-GaN layer (p-H2 layer) exhibits 9.5% and 12.4% improvements in LOP and WPE at 500 mA over the device (N2/H2 = 1:1), as well as significantly better electrostatic discharge robustness. Therefore, the use of a p-H2 layer can effectively improve the performance of GaN-based LEDs for high power applications.

In recent years, automated vehicles have been developing rapidly, and some automated vehicles have begun to drive on highways. The market share of automated vehicles is expected to increase and will greatly affect traffic flow characteristics. This paper focuses on the mixed traffic flow of manual and automated vehicles. The study improves the existing cellular automaton model to capture the differences between manual vehicles and automated vehicles. Computer simulations are employed to analyze the characteristic variations in the mixed traffic flow under different automated vehicle proportions, lane change probabilities, and reaction times. Several new conclusions are drawn in the paper. First, with the increment of the proportion of automated vehicles, freeway capacity increases; the capacity increment is more significant for single-lane traffic than for two-lane traffic. Second, for single-lane traffic flow, reducing the reaction time of the automated vehicle can significantly improve road traffic capacity—as much as doubling it—and reaction time reduction has no obvious effect on the capacity of the two-lane traffic. Third, with the proportion increment of automated vehicles, lane change frequency reduces significantly. Fourth, when the density is 15 < ρ < 55 vehicles/km, the addition of 20% automated vehicles to a traffic flow that consisted of only manual vehicles can decrease congestion by up to 16.7%.

Background: Infection-induced inflammatory response might be aggravated by surgery insults. The clinical presentation of Surgical Intensive Care Unit (SICU) patients might be different from medical critically ill patients. Purpose: To evaluate the diagnostic and prognostic values of procalcitonin (PCT) to predict bacterial infection in SICU patients. Methods: We retrospectively analyzed the 2-year (2013 and 2014) records of 342 adult SICU cases with suspected bacterial infection in SICU of Hualien Tzu Chi Hospital. The past histories, the first infection-related parameters when SICU admission, culture results, infection-related laboratory examinations, and outcomes were collected. Results: Median of PCT level in patients with negative and any positive culture was 0.84 (interquartile range [IQR] 0.18–6.21) and 2.27 (IQR 0.54–9.93) ng/ml, respectively. Infection from blood, urine, and skin/soft tissue elicited significantly higher PCT levels. PCT in receiver operating characteristic (ROC) curve demonstrated the most accurate to predict bacterial infection (area under the ROC curve [AUC]: 0.61; 95% confidence interval [CI]: 0.54–0.63) and bacteremia (AUC: 0.73; 95% CI: 0.66–0.80) compared to white blood cell count, ratio of neutrophils, and neutrophil-to-lymphocyte count ratio (NLCR). Significantly higher PCT levels (4.12 ng/ml, 1.12–19.99; median, IQR) were observed in mortality cases. Higher PCT levels were significantly accompanied with higher NLCR, as well as higher incidence of leukopenia and bandemia. Using Kaplan–Meier analysis, significantly higher intrahospital mortality was observed in cases with above the cutoff PCT levels of 0.5 and 2 ng/ml cases, respectively. Conclusion: PCT is a relatively more useful tool to predict bacterial and particularly bloodstream infection compared to other infection-related parameters in routinely clinical practice. Initial PCT levels may be a prognostic factor of SICU patients with bacterial infection.

We demonstrate efficient pulse compression of a 13.4 MHz, 534 fs, 123 W, Yb:YAG thin-disk oscillator down to 27 fs at 98 W average power, resulting in a record-high 166 MW peak power from an amplifier-free oscillator-driven setup. Our compressor is based on two stages: one multipass cell allowing us to reduce the pulse duration to sub-90 fs and, subsequently, a multiple-plate compressor, allowing us to reach 27 fs. The overall average power compression efficiency is 80%, and the beam has excellent beam quality and homogeneity. In addition, we demonstrate further spectral broadening that supports a transform limit of 5 fs in a second multiple-plate stage, demonstrating the potential for reaching a 100 W class, amplifier-free, few-cycle source in the near future. The performance of this unique source is very promising for applications previously restricted to amplified sources, such as efficient generation of extreme ultraviolet light at high repetition rate, and the generation of high-power broadband THz radiation.

Rationale: Loss of DNA damage repair (DDR) in the tumor is an established hallmark of sensitivity to DNA damaging agents such as chemotherapy. However, there has been scant investigation into gain-of-function alterations of DDR genes in cancer. This study aims to investigate to what extent copy number amplification of DDR genes occurs in cancer, and what are their impacts on tumor genome instability, patient prognosis and therapy outcome. Methods: Retrospective analysis was performed on the clinical, genomics, and pharmacogenomics data from 10,489 tumors, matched peripheral blood samples, and 1,005 cancer cell lines. The key discoveries were verified by an independent patient cohort and experimental validations. Results: This study revealed that 13 of the 80 core DDR genes were significantly amplified and overexpressed across the pan-cancer scale. Tumors harboring DDR gene amplification exhibited decreased global mutation load and mechanism-specific mutation signature scores, suggesting an increased DDR proficiency in the DDR amplified tumors. Clinically, patients with DDR gene amplification showed poor prognosis in multiple cancer types. The most frequent Nibrin (NBN) gene amplification in ovarian cancer tumors was observed in 15 out of 31 independent ovarian cancer patients. NBN overexpression in breast and ovarian cancer cells leads to BRCA1-dependent olaparib resistance by promoting the phosphorylation of ATM-S1981 and homology-dependent recombination efficiency. Finally, integration of the cancer pharmacogenomics database of 37 genome-instability targeting drugs across 505 cancer cell lines revealed significant correlations between DDR gene copy number amplification and DDR drug resistance, suggesting candidate targets for increasing patient treatment response. Principal Conclusions: DDR gene amplification can lead to chemotherapy resistance and poor overall survival by augmenting DDR. These amplified DDR genes may serve as actionable clinical biomarkers for cancer management.

Generation of octave-spanning spectrum that spans from 570 nm to 1300 nm utilizing 1030 nm 170 fs pulses from a Yb:KGW laser and a two-stage multiple-plate arrangement is demonstrated. 3.21 fs sub-single-cycle pulses are obtained after dispersion compensation. The high compression ratio of more than 50 times is achieved for two scenarios with widely different parameters including high input peak power at 1 kHz repetition rate and modest peak power at a high repetition rate of 100 kHz. The output pulses have good spatial mode quality and exhibit long-term stability. The achieved compression ratio and flexibility are unprecedented in ultrafast pulse compression to single-cycle regime. The experiments demonstrate that the technique of multiple-plate pulse compression is versatile and applicable for a wide range of laser pulse parameters.