We report a practical fluorescent sensor device for the trace amount detection of hydrogen peroxide vapor. In this paper, we have significantly improved the performance of fluorescence analysis for ...the detection of peroxides by solving the problems of packaging and storage of active materials and transferring the chemical experiment phenomenon to the actual project output. The fluorescent sensor molecule, test substrates, mixing methods, and the way to improve the life time are carefully studied. Combined with the design of circuit and programming, a field-test prototype was designed for peroxide explosives and its performance and algorithm were screened and optimized. In the detection of traces of H2O2 generated by ultraviolet separation or leaked as inherent impurities, the high-efficiency and rapid detection of peroxide-based explosives is achieved. The detection limit of H2O2 is expected to reach 2 ppb, and the response time can reach <0.5 s.
Circulating tumor cells (CTCs) can be classified into three phenotypes based on epithelial-to-mesenchymal transition (EMT) markers, including epithelial CTCs, mesenchymal CTCs, and mixed phenotypic ...CTCs. This study is aimed to analyze the correlation between CTC phenotypes and the clinicopathological features of patients with early cervical cancer.
Peripheral blood samples were obtained from 90 patients with early cervical cancer. CTCs were isolated and classified. The correlations of CTC counts and CTC phenotypes with clinicopathological features of patients were analyzed.
The positivity rate for CTCs in patients with stage I-IIA cervical cancer was 90%. An increased CTC number was observed in patients with FIGO stage II, pelvic lymph node metastasis, and lymphovascular involvement. There were 38.89% epithelial CTCs, 23.33% mesenchymal CTCs, and 14.44% mixed phenotypic CTCs, Mesenchymal CTCs were more common in patients with FIGO stage II, pelvic lymph node metastasis, lymphovascular involvement, and deep stromal invasion.
CTCs with mesenchymal phenotypes are closely related to pelvic lymph node metastasis and lymphatic vascular invasion in stage I-IIA cervical cancer. Detection of circulating tumor cell phenotypes is helpful for the early diagnosis of cervical cancer micro-metastasis and for the assessment of disease status.
To investigate volume management by comparing between critical care ultrasound examination and pulse indicator cardiac output (PICCO) in patient with septic shock.
Patients with septic shock during ...July 2017 and June 2018 were included. Inferior Vena Cava (IVC), total end-diastolic volume index (GEDI), central venous pressure (CVP), lactic acid and oxygenation index were measured by ultrasound. First, the accuracy difference of IVC, GEDI and CVP estimation capacity was compared. According to the changes of IVCmin, IVCmax, and GEDI, they were divided into 5 groups to compare the differences of lactic acid and oxygenation index between the groups and the correlation of lactate and Oxygenation index (PaO2/FiO2) between IVC and GEDI was analyzed. The correlation of lactate and PaO2/FiO2 between B lines and extravascular pulmonary water index (ELWI) was noted.
The accuracy of IVC and GEDI in volume estimation was greater than 75%, significantly higher than that of CVP (53.3%) (P<0.05). The correlation results showed that GEDI was significantly correlated with IVCmax and IVCmin (P<0.05), while there was a significant correlation between b-line area and oxygenation index, ELWI and lactic acid, ELWI and oxygenation index (P<0.05). IVCmin, IVCmax and GEDI were respectively divided into 5 groups for comparing the difference between lactic acid and oxygenation. It was found that there were significant differences between the two indicators of IVCmin in different groups (P>0.05). The oxygenation index of the group ≤IVCmax was significantly lower than that of the group 0.5 ≤IVCmax < 1.0cm (P<0.05). The oxgenation indexes of groups 500≤GEDI < 600mL/m2; 600≤GEDI < 700mL/m2. 700≤GEDI < 800mL/m2 were significantly higher than that of group 0 < GEDI < 500mL/m2 (P<0.05).
Critical care ultrasound examination and PICCO are better methods than in volume management, but PICCO is more individualized, and PICCO in patients with valvular heart disease is not recommended.
The development of high-tech, dim, small targets, such as drones and cruise missiles, brings great challenges to radar multi-target tracking (MTT), making it necessary to extend the beam dwell time ...to obtain a high signal-to-noise ratio (SNR). In order to solve the problem of radar sampling time variation exacerbated by extending the beam dwell time when detecting weak targets, a sector-matching (SM) PHD filter is proposed, which combines the actual radar system with a PHD filter and quantifies the relationship between the beam dwell time, the false alarm rate and the detection probability. The proposed filter divides the scanning area into small sectors to obtain actual multi-target measurement times and rederives the prediction and update steps based on the actual sampling time. Furthermore, a state correction step is added before state extraction. Applying the SM structure to the basic Gaussian mixture PHD (GM-PHD) filter and labeled GM-PHD filter, the simulation results demonstrate that the proposed structure can improve the accuracy of multi-weak-target state estimation in the dense clutter and can continuously generate explicit trajectories. The overall real-time performance of the proposed filter is similar to that of the PHD filter.
The selective laser melting (SLM) of the TiH
2–Ti blended powder was performed in the present work. Porous titanium scaffolds characterized by high porosity (∼
70%), interconnected Ti walls and open ...porous structures with macroscopic pores (in a range of ∼
200 to ∼
500
μm) were successfully prepared at a laser power of 1000
W and a scan speed of 0.02
m/s. The effects of componential and processing conditions in terms of TiH
2 content and scan speed on the microstructural development of porous titanium (porosity and pores size) were investigated. Reasonable mechanisms for pores formation during SLM apart from microstructural evolutions were proposed.
One-dimensional (1D) micro/nanowires of wide band gap semiconductors have become one of the most promising blocks of high-performance photodetectors. However, in the axial direction of ...micro/nanowires, the carriers can transport freely driven by an external electric field, which usually produces large dark current and low detectivity. Here, an UV photodetector built from three cross-intersecting ZnO microwires with double homo-interfaces is demonstrated by the chemical vapor deposition and physical transfer techniques. Compared with the reference device without interface, the dark current of this ZnO double-interface photodetector is significantly reduced by nearly 5 orders of magnitude, while the responsivity decreases slightly, thereby greatly improving the normalized photocurrent-to-dark current ratio. In addition, ZnO double-interface photodetector exhibits a much faster response speed (∼ 0.65 s) than the no-interface device (∼ 95 s). The improved performance is attributed to the potential barriers at the microwire–microwire homo-interfaces, which can regulate the carrier transport. Our findings in this work provide a promising approach for the design and development of high-performance photodetectors.
In order to solve the problem that the measurement noise covariance may be unknown or change with time in actual multi-target tracking, this paper brings the variational Bayesian approximation method ...into the trajectory probability hypothesis density (TPHD) filter and proposes a variational Bayesian TPHD (VB-TPHD) filter to obtain measurement noise covariance adaptively. By modeling the unknown covariance as the random matrix that obeys the inverse gamma distribution, VB-TPHD filter minimizes the Kullback–Leibler divergence (KLD) and estimates the sequence of multi-trajectory states with noise covariance matrices simultaneously. We propose the Gaussian mixture VB-TPHD (AGM-VB-TPHD) filter under adaptive newborn intensity for linear Gaussian models and also give the extended Kalman (AEK-VB-TPHD) filter and unscented Kalman (AUK-VB-TPHD) filter in nonlinear Gaussian models. The simulation results prove the effectiveness of the idea that the VB-TPHD filter can form robust and stable trajectory filtering while learning adaptive measurement noise statistics. Compared with the tag-VB-PHD filter, the estimated error of the VB-TPHD filter is greatly reduced, and the estimation of the trajectory number is more accurate.
Video may pass through various types of heterogeneous networks during the process of transmission, which has adverse impacts on the real-time video quality. Traditional methods focus on how to ...compress videos based on the video flow without considering the real-time network information. This paper presents an adaptive method that combines video encoding and the video transmission control system over heterogeneous networks. This method includes the following steps: first, to collect and standardize the real-time information describing the network and the video, then to assess the video quality and calculate the video coding rate based on the standardized information, and then to process the encoded compression of the video according to the calculated coding rate and transfer the compressed video. The experiments show that there is a significant improvement for the quality of real-time videos transmission without changing the existing network, particularly the core equipment. Our solution is easy to deploy and implement quickly and may help to extensively ensure video quality for normal users.
The aim of this study was to determine whether TPCN2 genetic variants are associated with type 2 diabetes and to elucidate which variants in TPCN2 confer diabetes susceptibility in the Chinese ...population.
The sample population included 384 patients with type 2 diabetes and 1468 controls. Anthropometric parameters, glycemic and lipid profiles and insulin resistance were measured. We selected 6 TPCN2 tag single nucleotide polymorphisms (rs35264875, rs267603153, rs267603154, rs3829241, rs1551305, and rs3750965). Genotypes were determined using a Sequenom MassARRAY SNP genotyping system.
Ultimately, we genotyped 3 single nucleotide polymorphisms (rs3750965, rs3829241, and rs1551305) in all individuals. There was a 5.1% higher prevalence of the rs1551305 variant allele in type 2 diabetes individuals (A) compared with wild-type homozygous individuals (G). The AA genotype of rs1551305 was associated with a higher diabetes risk (p<0.05). The distributions of rs3829241 and rs3750965 polymorphisms were not significantly different between the two groups. HOMA-%B of subjects harboring the AA genotype of rs1551305 decreased by 14.87% relative to the GG genotype.
TPCN2 plays a role in metabolic regulation, and the rs1551305 single nucleotide polymorphism is associated with type 2 diabetes risk. Future work will begin to unravel the underlying mechanisms.
Celotno besedilo
Dostopno za:
DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
As the COVID‐19 pandemic evolves and new variants emerge, the development of more efficient identification approaches of variants is urgent to prevent continuous outbreaks of SARS‐CoV‐2. Field‐effect ...transistors (FETs) with two‐dimensional (2D) materials are viable platforms for the detection of virus nucleic acids (NAs) but cannot yet provide accurate information on NA variations. Herein, 2D Indium selenide (InSe) FETs were used to identify SARS‐CoV‐2 variants. The device's mobility and stability were ensured by atomic layer deposition (ALD) of Al2O3. The resulting FETs exhibited sub‐fM detection limits ranging from 10–14 M to 10–8 M. The recognition of single‐nucleotide variations was achieved within 15 min to enable the fast and direct identification of two core mutations (L452R, R203M) in Delta genomes (p < 0.01). Such capability originated from the trap states in oxidized InSe (InSe1−xOx) after ALD, resulting in traps‐involved carrier transport responsive to the negative charges of NAs. In sum, the proposed approach might highly provide epidemiological information for timely surveillance of the COVID pandemic.
Currently, transmissible SARS‐CoV‐2 variants continuously evolve due to the frequent occurrence of single‐nucleotide variations (SNVs). We develop 2D InSe FETs for fast and direct identification of SARS‐CoV‐2 variants. In addition to the sub‐fM detection limit, the bio‐FETs can directly recognize the difference between complementary and Delta variant nucleic acid sequences with SNVs. We contribute the capability to the oxidation of InSe (InSe1−xOx). Moreover, the trap states inside make the carrier transport of our bio‐FETs more sensitive to the EF shift from the negative charges of NA sequences.
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