Search

Objective. To investigate the role and mechanism of lncRNA-pvt1 in the pathogenesis of childhood acute lymphoblastic leukemia (ALL). Methods. The expression of lncRNA-pvt1 in bone marrow tissues of ALL patients after initial diagnosis and complete remission was detected by RT-PCR to explore its possible involvement in the pathogenesis of ALL. The proliferation and apoptosis of Jurkat cells transfected with lncRNA-pvt1 were observed by MTT and flow cytometry. Results. lncRNA-pvt1 expression was upregulated in bone marrow of ALL patients. Knockdown of lncRNA-pvt1 inhibited Jurkat cell proliferation and increased its apoptosis rate. Conclusion. Silencing lncRNA-pvt1 expression can inhibit the development of ALL.

A critical challenge in human-autonomy teaming is for human players to comprehend their nonhuman teammates (agents). Transparency in agents' behaviors is the key for such comprehension, which may be obtained by embedding a self-explanation ability into the agent to explain its own behaviors. Previous studies have relied on searching for the executed functions and logics to generate explanations for behaviors of goal-following logic-based agents. With the increasing number of functions and logics, current methods, such as component and process-based methods, have become impractical. This article proposes a new method exploiting the agent's artificial situation awareness states for generating explanations that involves several techniques: A Bayesian network, fuzzy theory, and Hamming distance. Our new method is evaluated in a collaborative driving context, in which a significant number of accidents recently occurred around the globe due to the lack of understanding of the autopilot agents. Using an autonomous driving simulator called Carla, two typical scenarios in collaborative driving, namely, traffic light and overtaking situations, are used. The findings show that the new method potentially reduces the search space in generating explanations and exhibits better computational performance and a lower cognitive workload. This work is important to calibrate human trust and to enhance comprehension of the agent.

Fe-based amorphous magnetic materials are recently attracting strong interests for constructing high-power density and high-efficiency rotating electrical machines due to their attractive properties, such as low core loss and high magnetic saturation. Accurate measurement and modeling of the rotational core losses of the core magnetic materials, and the corresponding patterns of rotating magnetic flux density ( $B$ ) and magnetic field strength ( $H$ ) are important for the analysis and design of electrical machines. This article presents the measurement of rotational core loss of a Fe-based amorphous magnetic material (amorphous 1k101), and its corresponding modelings under two-dimensional (2-D) circularly and elliptically rotating magnetic fields. In addition, an improved and simplified analogical model of rotational hysteresis loss is proposed for such magnetic materials. The circular and elliptical $B$ loci and the corresponding $H$ loci have been investigated to acquire the perception of anisotropy and permeability of the amorphous materials. The proposed theory and models are experimentally verified.

Objective: To investigate the effect of raising family cognition on improving adherence and quality of life of 8-12-year-old children wearing orthokeratology lenses. Methods: From July 2019 to July 2020,120 children with orthokeratology lenses of our hospital were selected and randomly divided into two groups. The control group (n = 60) was given routine nursing, while the observation group (n = 60) was given home nursing intervention on the basis of the control group. To observe the treatment compliance, family cognition degree, sleep quality and quality of life in the two groups. Results: Compared with the control group, the patients in the observation group had higher treatment compliance and family cognition degree, lower scores of times to fall asleep, sleep duration, sleep disturbance and daytime function, and higher scores of physiological function, mental health, social function and emotional function (P

Climate change negatively affects crop yield, which hinders efforts to reach agricultural sustainability and food security. Here, we show that a previously unidentified allele of the nitrate transporter gene OsNRT2.3 is required to maintain high yield and high nitrogen use efficiency under high temperatures. We demonstrate that this tolerance to high temperatures in rice accessions harboring the HTNE-2 (high temperature resistant and nitrogen efficient-2) alleles from enhanced translation of the OsNRT2.3b mRNA isoform and the decreased abundance of a unique small RNA (sNRT2.3-1) derived from the 5′ untranslated region of OsNRT2.3 . sNRT2.3-1 binds to the OsNRT2.3a mRNA in a temperature-dependent manner. Our findings reveal that allelic variation in the 5′ untranslated region of OsNRT2.3 leads to an increase in OsNRT2.3b protein levels and higher yield during high-temperature stress. Our results also provide a breeding strategy to produce rice varieties with higher grain yield and lower N fertilizer input suitable for a sustainable agriculture that is resilient against climate change.

Because negative electrode of the neutral lead-carbon hybrid capacitor is composed by the active carbon and graphite, it is general believe that only the absorption-desorption process occurs in the negative electrode. However, in this work, we find that there is a second reaction going on the negative electrode: During charging, lead ions diffused from the positive electrode can be reduced to lead crystals when the charging cut-off voltage of the negative electrode is negative to the reduction potential of lead ions. These electrodeposited lead crystals can be converted into lead sulfate crystals during discharging, and these lead sulfate crystals cannot be completely dissolved in the next charging process. When lead sulfate crystals are accumulated on the surface of the carbon material gradually, the performance of the negative electrode is inhibited. Current densities have a great influence on this phenomenon because the charging cut-off voltage of the negative electrode is negatively shifted with the decrease of current density. The anion exchange membrane can completely inhibit this phenomenon by preventing the free diffusion of lead ions. After cycling at 2 A g−1 for 3400 times, the energy retention rate of the neutral lead-carbon hybrid capacitor increases from 34% to 81%.

The effects of a Si δ-doped layer on the electrical properties of an AlGaN/InGaN/GaN high electron mobility transistor (HEMT) are studied theoretically by Technology Computer-Aided Design (TCAD) in this paper. The Si δ-doped GaN layer which exists between the InGaN channel layer and the GaN buffer plays an important role in increasing the electron density in the channel. Because there is better electron confinement and higher electron density, the proposed device shows excellent performances in direct current (DC) and radio frequency (RF) characteristics. Compared to the traditional GaN and InGaN channel HEMTs, the peak transconductance in the proposed device is increased by 25 and 11%, and the maximum drain current is increased by 39 and 32%, respectively. From the value of subthreshold swing (SS) and drain-induced barrier lowering (DIBL), the proposed device shows almost the same ability to suppress the short-channel effect (SCE) as the traditional InGaN channel HEMT which is significantly better than GaN channel HEMT. In addition, the current gain cutoff frequency (fT) of the proposed device is 26 and 7% higher than that of the traditional GaN and InGaN channel HEMT, and the maximum power gain cutoff frequency (fmax) is increased by 43 and 8%, respectively.

Yttrium borides have attracted much attention for their superconducting and high chemical stability. However, the fundamental knowledge of the mechanical properties and hardness of yttrium borides is rather lack. Here, we performed a systematic investigation on yttrium borides with various stoichiometries based on an unbiased CALYPSO structure search method and first-principles calculations. A new YB6 compound with R3m hexagonal structure is observed, which is more stable than the experimental synthesized Pm3m phase. The calculated formation enthalpy, elastic constants, and phonon dispersions distinctly show that the R3m-YB6 is energetically, mechanically, and dynamically stable. The density of states and electronic band structure reveal that all the stable yttrium borides are metallic. Based on a semiempirical method, the Vicker hardness of R3m-YB6 is expectant to be 37.0 GPa, indicating it is a potential ultrahard metal. Our results provide insights for future synthesis and design of new type functional materials.

Existing 3D skeleton-based action recognition approaches reach impressive performance by encoding handcrafted action features to image format and decoding by CNNs. However, such methods are limited in two ways: a) the handcrafted action features are difficult to handle challenging actions, and b) they generally require complex CNN models to improve action recognition accuracy, which usually occur heavy computational burden. To overcome these limitations, we introduce a novel AFE-CNN, which devotes to enhance the features of 3D skeleton-based actions to adapt to challenging actions. We propose feature enhance modules from key joint, bone vector, key frame and temporal perspectives, thus the AFE-CNN is more robust to camera views and body sizes variation, and significantly improve the recognition accuracy on challenging actions. Moreover, our AFE-CNN adopts a light-weight CNN model to decode images with action feature enhanced, which ensures a much lower computational burden than the state-of-the-art methods. We evaluate the AFE-CNN on three benchmark skeleton-based action datasets: NTU RGB + D, NTU RGB + D 120, and UTKinect-Action3D, with extensive experimental results demonstrate our outstanding performance of AFE-CNN.

Hexavalent chromium [Cr(VI)] is a well-known and widespread environmental contaminant associated with a variety of adverse health effects, in particular lung cancer. The primary route of exposure in humans is through inhalation. Particulate forms of Cr(VI) are the most potent but in vivo studies are difficult. Intratracheal instillation requires highly trained surgical procedures which also limits the number of repeated exposures possible and thus requires high doses. Inhalation studies can deliver lower more chronic doses but are expensive and generate dangerous aerosols. We evaluated an oropharyngeal aspiration exposure route for zinc chromate particles in Wistar rats. Animals were treated once per week for 90 days. We found chromium accumulated in the lungs, blood, and reproductive tissues of all treated animals. Additionally, we found inflammatory indicators in the lung were elevated and circulating lymphocytes had increased chromosomal damage. These results show oropharyngeal aspiration provides a practicable exposure route for chronic and sub-chronic exposures of Cr(VI) particles.

GAGE12I is a tumor metastasis-promoting factor, which can induce gastric cancer cells to invade and migrate. We investigated the effect of miR-28-5p targeting GAGE12I on proliferation, invasion, and migration of human gastric cancer cell lines SGC-7901, AGS, and MGC-803. The expression levels of miR-28-5p and GAGE12I were detected by real-time PCR and western blot, respectively. Cell proliferation, migration, and invasion were measured by MTT and Transwell chamber. The interaction between miR-28-5p and GAGE12I was investigated by bioinformatics analysis and luciferase assay. Results showed that the expression of miR-28-5p in human gastric cancer cell lines was lower than that in normal gastric epithelial cells ( P < 0.05 ). Overexpression of miR-28-5p suppressed cell proliferation, invasion, and migration ( P < 0.05 ). GAGE12I was confirmed as a target of miR-28-5p. Cell proliferation, invasion, and migration were decreased in cells transfected with shGAGE12I compared with those of the scrambled group ( P < 0.05 ). Collectively, miR-28-5p negatively regulated GAGE12I and reduced the proliferation, invasion, and migration of gastric cancer cells.

Facing the increasing depletion of traditional energy resources and the worsening environmental issues, wind energy sources have been widely considered. As an essential renewable energy resource, wind energy features abundant deposits, extensive distribution, non-pollution, etc. In recent years, wind power generation occupies a non-negligible position in the electric power industry. Stable and reliable power system operation demands accurate wind speed prediction (WSP), but the inherent randomness of wind speed sequences complicates their fluctuations and causes them to be uncontrollable. In this paper, an innovative WSP system is proposed, which combines data pre-processing technique, benchmark model selection, an advanced optimizer for point forecast and interval forecast. Furthermore, this paper theoretically demonstrates that the weights allocated by this optimizer are Pareto optimal solutions. Six interval data from two sites in China are utilized to validate the forecasting performance of our developed model. The experimental results indicate that the developed model can achieve superior accuracy compared to the tested models in all cases for point forecast, and also obtains the forecasting interval with high coverage and low width error, which is an extremely crucial instruction to guarantee the security and stability of the power system.

Hyalomma asiaticum, a hematophagous ectoparasite, causes severe economic losses. We studied the acute toxicity of five pesticides (three single-agent and two combination preparations) to this organism. Engorged larval ticks were immersed in ten serial concentrations of each insecticide and observed for 20 days. The LC

The impact of climate change on nearshore coastal water quality and its interaction with pollution prevention efforts (e.g., the development of green and gray water infrastructure) still lack systematic investigation. This study performed a holistic analysis of the impact of climate change on the salinity and concentrations of total nitrogen (TN), total phosphorus (TP) and chlorophyll a (Chl.a) in Shenzhen Bay between Shenzhen and Hong Kong, the two most developed megacities in South China, based on three-dimensional hydrodynamic and water quality modeling. The major study findings were as follows. First, Chl.a was the most sensitive parameter, and its bay-wide average concentration in 2100 was predicted to be approximately 13% and 46% higher than those in 2015 under mild and rapid climate change scenarios, respectively. Second, sea level rise was found to be a major driver of all four water quality parameters, while temperature and radiation mainly influenced Chl.a and precipitation mainly influenced nutrients. Third, water quality responses to climate change were highly heterogeneous over the bay. Even under a mild climate change scenario, the highest location-specific changes (2100 vs. 2015) in salinity and TN, TP and Chl.a concentrations were projected to be approximately 21%, 19%, 25%, and 65%, respectively. Fourth, changes in seasonal variation due to climate change may lead to an enhanced ecological risk of algal blooms. Finally, the effect of reducing TN and TP concentrations by proposed water infrastructure development was found to be significantly weakened (nearly 40% and 20% for TN and TP, respectively, under a mild climate change scenario), while the negative effect (i.e., increase in the Chl.a concentration) was notably accelerated. Regional cooperation is critical for protecting the water quality of the bay, particularly under climate change. The insights obtained in this study are applicable to other coastal water zones around the world with similar socioeconomic backgrounds and climatic conditions.

Since the discovery of metal-doped boron clusters attracted great significance to create a new class of materials, research interests have been directed to chemical bonding and structural evolution of lanthanide boride clusters. Here, we perform an extensive ground-state structure search for the CeBn and CeBn- clusters in the size range from 9 to 18 using the Crystal structure AnaLYsis by Particle Swarm Optimization method and density functional theory optimization. It is found that the ground-state structures in both neutral and anionic series possess half-sandwich geometry. The host boron moiety in neutral series has a tendency to form borophene-like geometry. The pentagonal and hexagonal holes are more common in the larger anionic CeBn- series. The theoretical photoelectron spectroscopy has been simulated by applying time-dependent density functional theory calculations. The neutral CeB14 cluster is identified as a magic cluster on the basis of its robust relative stability with respect to its neighbors. Electronic structure and chemical bonding analyses reveal that the CeB14 cluster possesses a large HOMO-LUMO gap and enhanced stability with strong delocalized π and δ bonding via interactions between the Ce 5d- and B 2p-AOs.

A simultaneous C2-H arylation and C8-H alkylation of naphthalene ring has been achieved by palladium-catalyzed cascade reaction of N-(2-halophenyl)-2-(naphthalen-1-yl)acrylamides with aryl iodides, which provides an efficient method for synthesizing various aryl-substituted spirocyclic oxindoles. The protocol enables three C C bonds formation via an intramolecular Heck reaction and sequentially regioselective C H bond activation.

To maximize renewable energy usage to combat climate change, the penetration of electric vehicles (EVs) has increased significantly in developed countries. This can cause serious power quality issues, such as increased voltage imbalance and neutral currents, which severely impact the operation of power systems. Although the power quality issue is not a new problem, it requires an improved strategy for the growing penetration of photovoltaic solar energy and EVs in low-voltage distribution grids and their uncoordinated operation. This article presents a new control strategy to reduce the number of coordinated EVs to mitigate voltage unbalance and compensate for the neutral current. The proposed control strategy consists of two controllers arranged in a hierarchical structure with the central controller at the top layer and the local controller at the bottom layer. It is evident that the proposed control strategy reduces the number of EVs that need to be coordinated, and further, EV coordination is not required if the grid imbalance is less. This new hierarchical control strategy can improve power quality and reduce data processing overhead and computational complexity.

On one hand, the construction of two fused five-membered carbocyclic rings remains an extremely challenging topic in organic synthesis. On the other hand, transition-metal-catalyzed dienyne cycloaddition reactions have become one of the most powerful methods for the construction of diverse cyclic frameworks. Nevertheless, these methods are limited to noble transition-meal catalysis and non-radical cycloaddition modes. Here, a radical Smiles rearrangement strategy for allowing an unprecedented [3 + 2]/[3 + 2] carboannulation of dienynes with arylsulfonyl chlorides using cheap copper catalysis is described. This cascade method represents a novel cycloaddition mode for dienyne chemistry, which occurs by the sequence of addition of arylsulfonyl radical to a dienyne, a Smiles rearrangement and radical annulation to access cyclopenta[a]indene-fused quinolinones with excellent diastereoselectivity.

See Manuscript PDF file for complete AbstractIn this paper, we concern the initial-boundary value problem of a system coupled by KdV equations, posed on the half line: u_t+u_xx+6 uu_x = 2 vvx， x > 0，t > 0， v_t + v_xxx + 3uv_x = 0， x > 0，t > 0， u(x，0) = u_0(x)，v(x，0) = v_0(x)， x > 0， u(0，t) = f (t)，v(0，t) = g(t)， t > 0. Then we prove the well-posedness in the low regularity via using an analyticfamily of boundary forcing operators.Mathematics Subject Classification: 35E15, 35Q53.

Electrochemical modification is a mild and economical way to prepare electrocatalytic materials with abundant active sites and high atom efficiency. In this work, a stable NiFeCuPt carbon matrix deposited on nickel foam (NFFeCuPt) was fabricated with an extremely low Pt load (∼28 μg cm

Background and ObjectivesAlthough the main mechanisms of stroke in patients with intracranial atherosclerotic disease (ICAD)—perforating artery occlusion (PAO) and artery-to-artery embolism (AAE)—have been identified and described, relatively little is known about the morphology of the symptomatic plaques and how they differ between these 2 mechanisms.MethodsWe prospectively recruited patients with acute ischemic stroke in the posterior circulation that was attributable to ICAD. Fifty-one eligible patients were enrolled and underwent magnetic resonance imaging before being assigned to the PAO or AAE group according to probable stroke mechanism. Plaque morphological properties including plaque length, lumen area, outer wall area, plaque burden, plaque surface irregularity, vessel wall remodeling, and plaque enhancement were assessed using high-resolution MRI. Plaque morphological parameters of both PAO and AAE groups were compared using nonparametric tests. A binary logistic regression model was used to identify independent predictors while a receiver operating characteristic curve tested the sensitivity and specificity of the model.ResultsAmong patients who met the imaging eligibility criteria, 38 (74.5%) had PAO and 13 (25.5%) had AAE. Plaque length was shorter (6.39 interquartile range [IQR, 5.18–7.7]1 mm vs 10.90 [IQR, 8.18–11.85] mm,p< 0.01) in patients with PAO. Plaque burden was lower in PAO group (78.00 [IQR, 71.94–86.35] % vs 86.37 [IQR, 82.24–93.04] %,p= 0.04). The proportion of patients with plaque surface irregularity was higher in patients with AAE than in patients with PAO (19/38, 50.00% vs 12/13, 92.30%,p= 0.008). Plaque length was significantly associated with the PAO mechanism (adjusted OR 0.57, 95% CI, 0.41–0.79).DiscussionIntracranial atherosclerotic plaque morphology differs between patients with PAO and those with AAE. Plaque with shorter length, lower plaque burden, and regular surface is more likely to cause PAO.

Background Gaucher disease (GD) is a rare autosomal recessive hereditary lysosomal storage disease. It is caused by glucocerebrosidase (GBA1) gene mutation that leads to decreased activity of acid β-glucosidase (glucocerebrosidase [GCase]). GD genotype-phenotype correlation is not fully understood. The aim of the current study was to identify and characterize compound heterozygous mutations of GBA1 in a type 1 adult GD patient. Results Using enzymological studies and whole exome sequencing, the patient with type 1 GD was found to becompound heterozygous for GBA1 missense mutations in exon 10 c.1448T > C (p.L483P) and exon 7 c.928A > G (p.S310G). The patient's mother who had Parkinson disease history was heterozygous for p.S310G mutation. The asymptomatic father was heterozygous for p.L483P mutation. The sister did not carry either mutation. Structural modeling showed both p.S310G and p.L483P are far away from the GCase active site. The p.S310G mutation in domain 1 could cause decreased stability between the α2 and α3 helices of GBA1. The p.L483P mutation in domain 2 could reduce the van der Waals force of the side chain and disrupt the C-terminal -sheet. Conclusions The p.L483P/p.S310G novel compound heterozygous mutation underlies type 1 GD and likely impacts GCase protein function. This is the first description of p.S310G associated with mild type 1 GD in the context of coinherited p.L483P mutation.

This study aimed to investigate the associations between traditional Chinese medicine (TCM) syndromes and driver gene mutations as well as the clinical characteristics of patients with lung adenocarcinoma. We performed a cross-sectional study in patients with lung adenocarcinoma between June 2020 and October 2021. The patient characteristics, such as age, sex, smoking history, clinical stage, metastasis, driver gene mutations, and the type of traditional Chinese medicine syndrome/element, were collected. The associations between each TCM syndrome and sex, smoking history, clinical stage, metastasis, and driver gene mutations were analyzed. The present study included 127 patients. The most frequent TCM syndromes were Qi and Yin deficiency (39, 30.7%) and lung-spleen Qi deficiency (32, 25.2%). Eighty-one (63.8%) patients had mutations in driver genes, especially in the EGFR gene (64, 79.0%). There was a statistically significant association between a driver gene mutation and TCM syndrome ( P < 0.05 ). Genetic mutations presented more frequently in patients with Qi and Yin deficiency (37.0%), lung-spleen Qi deficiency (30.0%), or the cold element (59.3%). Male patients were more likely to have Qi stagnation and blood stasis, whereas female patients were more likely to have lung-spleen Qi deficiency or Qi and Yin deficiency. The patients with lung-spleen Qi deficiency were usually younger than those with Qi and Yin deficiency or Qi stagnation and blood stasis ( P < 0.05 ). Compared with the patients with other TCM syndromes, the patients with Yin and Yang deficiency were more likely to have bone metastasis. TCM syndromes were associated with driver gene mutations, sex, age, and bone metastasis in patients with lung adenocarcinoma.

The quantification of wind speed uncertainty is of great significance for real-time control of wind turbines and power grid dispatching. However, the intermittence and fluctuation of wind energy present great challenges in modeling its uncertainty; research in this field is limited. A quantile regression bi-directional long short-term memory network (QrBiLStm) and a novel ensemble probabilistic forecasting strategy are proposed in this study to explore ensemble probabilistic forecasting. To verify the reliability of the proposed ensemble probabilistic forecasting system, the uncertainties of wind speed at wind farms in China were modeled as a case study. The results of comparative experiments including 15 other models demonstrate the superiority of this ensemble probabilistic forecasting system in terms of sharpness while maintaining high interval coverage. More specifically, it was observed that the prediction interval coverage probability obtained by the proposed system is above 97%, and the sharpness is improved by at least 24.21% as compared with the commonly used single models. The proposed ensemble probabilistic forecasting system can accurately quantify the uncertainty of wind speed, and also reduce the operation cost of power systems by improving the efficiency of wind energy utilization.

Short-term wind power prediction has a considerable effect on improving the productivity of wind energy systems and increasing economic benefits. In recently years, various wind velocity predictive models have been designed to raise the prediction effect. However, numerous predictive systems are limited by single type, and many ordinary predictive systems ignore the advantage of optimized parameters and the significance of data preparation, which bring about the lower predictive precision. To fill this gap, in this article, a novel predictive system is come up, which is on the basis of data denoising strategy, statistical predictive systems, artificial intelligence forecasting system and multi-objective optimization strategy. After using the data denoising strategy for denoising, the reconstructed data is used for the forecasting of different sub-systems, to obtain stable forecasting results, multi-objective dragonfly algorithm is used to estimate the weight coefficient of sub-systems. To evaluate the availability of the designed predictive system, five wind velocity datasets from different wind farms are used for the purpose of a case research. According four experiments and four analyses, it can be concluded that the designed combined system has a well predictive effect in short-term wind speed prediction. And it is in favor of grid regulation and operation.

This article presents a 250-GHz SiGe amplifier composed of three differential cascode stages in a 0.13- μ m SiGe BiCMOS technology ( f T/ f MAX = 300/500 GHz). The Marchand balun is utilized to implement single-ended to differential signal transformation for its superior performance over the transformer-based balun at sub-THz frequencies, which has been investigated and verified through electromagnetic (EM) simulations. A stair-like interconnection method and conventional positive feedback technique are used to improve the inherent gain of the active device. The proposed amplifier exhibits a record S21 of 21.5 dB at 252 GHz and a 3-dB bandwidth of 11 GHz with the capability of gain control. The measured OP 1dB is −3.7 dBm with the corresponding power added efficiency (PAE) of 0.3%, and the saturated output power is estimated to exceed 0 dBm at 252 GHz. The overall power consumption of the chip is 149 mW. Along with remarkable gain and output power, the compact amplifier is suitable to be adopted as an output block in the sub-THz transmitters.

Recently, place branding has received increasing attention from both academic and policy circles. As place branding is an interdisciplinary field, scholars from different backgrounds have contribut...

The limitations of conventional organic liquid electrolytes such as sodium dendrite growth, serious side reactions, and liquid leakage hinder the development of sodium–metal batteries (SMBs). In th...

© 2007-2012 IEEE. The increasing penetration of distributed generations (DGs) and electric vehicles (EVs) offers not only several opportunities but also introduces many challenges for the distribution system operators (DSOs) regarding power quality. This article investigates the network performances due to uncoordinated DG and EV distribution. It also considers power quality-related performances such as the neutral current, energy loss, voltage imbalance, and bus voltage as a multiobjective optimization problem. The differential evolution optimization algorithm is employed to solve the multiobjective optimization problem to coordinate EV and DG in a distribution grid. This article proposed a method to coordinate EV and DG distribution. The proposed method allows DSOs to jointly optimize the phase sequence and optimal dispatch of DGs to improve the network's performance. If the network requires further improvement, the EV charging or discharging rate is coordinated for a particular location. The efficacy of the proposed method is tested in an Australian low-voltage distribution grid considering the amount of imbalance due to higher penetration of DG and EV. It is observed that the proposed method reduces voltage unbalance factor by up to 98.24%, neutral current up to 94%, and energy loss by 59.45%, and improve bus voltage by 10.42%.

Detection of circulating tumor cells (CTC) is an important liquid biopsy technique that has advanced considerably in recent years. To further advance the development of technology for curing cancer, several CTC technologies have been proposed by various research groups. Despite their potential role in early cancer diagnosis and prognosis, CTC methods are currently used for research purposes only, and very few methods have been accepted for clinical applications because of difficulties, including CTC heterogeneity, CTC separation from the blood, and a lack of thorough clinical validation. Although current CTC technologies have not been truly implemented, they possess high potential as future clinical diagnostic techniques for individualized cancer. Here, we review current developments in CTC separation technology. We also explore new CTC detection methods based on telomerase and nanomaterials, such as in vivo flow cytometry. In addition, we discuss the difficulties that must be overcome before CTC can be applied in clinical settings.