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The aim was to examine the effect of role overload, work addiction and leader-member exchange on missed nursing care.A cross-sectional study.Chinese registered nurses from five Sichuan province public hospitals were studied from March 2022-May 2022. The measurements were derived from a questionnaire on role overload, work addiction, missed nursing care, leader-member exchange and a sociodemographic datasheet. Descriptive statistics and inferential statistics were conducted (N = 403).Role overload was associated with missed nursing care, and work addiction played a mediation role. Leader-member exchange negatively predicted work addiction and played a moderating role between role overload and work addiction. The effect of role overload on work addiction was attenuated when the level of leader-member exchange was higher. Promoting leader-member exchange could mitigate how role overload undermines missed nursing care.

Intrinsic DNA properties such as bending play a crucial role in diverse biological systems. A recent advantage in the high-throughput method called loop-seq makes it possible to determine bendability of hundred thousand 50-bp DNA duplexes in one experiment. However, it’s still infeasible to assess whole sequence bendability in large genomes such as human, which needs thousands of loop-seq experiments. Here we introduce ‘BendNet’ – a neural network to accurately predict the intrinsic DNA bending at base-resolution by only given DNA sequences. BendNet can increase the resolution of experimental results, and can predict DNA bendability for any new given sequences in high accuracy. We applied BendNet to the human genome and observed high-stiffness regions located at both transcriptional start sites and transcriptional end sites. Such stiffness patterns are different for coding and non-coding genes, which matches distinct nucleosome occupancy patterns. As expected, most transcription factors (TFs) bind in DNA of low bendability. In contrast, we observed an unusually high bendability within binding elements of specific TFs such as EBF1 and regulators of genome folding such as CTCF. These factors either co-bind or compete with nucleosomes to carry out their functions. More interestingly, CTCF binding regions exhibit the highest bendability than other DNA elements, implying their potential role in trapping and holding the CTCF in the exact locations to make sure CTCF as stable anchor in loop extrusion process. Our work provides a tool to assess DNA bendability for large-scale DNA sequences and expands our understanding on DNA mechanics in chromatin regulation and genome folding.

Estimating 6D poses of rigid objects from RGB images is an important but challenging task. This is especially true for textureless objects with strong symmetry, since they have only sparse visual features to be leveraged for the task and their symmetry leads to pose ambiguity. The implicit encoding of orientations learned by autoencoders [31] , [32] has demonstrated its effectiveness in handling such objects without requiring explicit pose labeling. In this letter, we further improve this methodology with two key technical contributions. First, we use edge cues to complement the color images with more discriminative features and reduce the domain gap between the real images for testing and the synthetic ones for training. Second, we enhance the regularity of the implicitly learned pose representations by a self-supervision scheme to enforce the geometric prior that the latent representations of two images presenting nearby rotations should be close too. Our approach achieves the state-of-the-art performance on the T-LESS benchmark in the RGB domain; its evaluation on the LINEMOD dataset also outperforms other synthetically trained approaches. Extensive ablation tests demonstrate the improvements enabled by our technical designs. Our code is publicly available for research use. * * The code is available at https://github.com/fylwen/EEGP-AAE .

The aggregation of distributed energy resources (DERs) draws much attention since their penetration increases continuously. We derive the mathematical formulation of the exact aggregated feasible region (AFR) of multiple DERs. The derivation is based on analyzing the redundancy of all possible constraints in the Fourier-Motzkin Elimination (FME) process. In the exact AFR model, the number of constraints is linear with the number of DERs and exponential with the number of time intervals, respectively. Although the computational complexity of the exact AFR is dramatically simplified compared with the original FME, there are still too many constraints for the exact AFR model to be applied in practice. Hence, we propose the kth-order approximate models and two types of multi-timescale approximate models. Illustrative cases show the necessity of each constraint in the proposed models compared with the aggregated power and energy boundary model. Numerical simulations verify the accuracy of the exact AFR model. Besides, the second-order approximate model performs best considering the balance between accuracy, economics, and computational complexity.

We fabricate a novel electrochemical biosensor based on the specific thymine-Hg2+-thymine (T-Hg2+-T) base pair for the highly sensitive detection of mercury ions (Hg2+) and utilize toluidine blue (TB) as a redox indicator that is combined with a hybridization chain reaction (HCR) for signal amplification. The dandelion-like CuO (D-CuO) microspheres that were assembled using Au nanoparticles were first introduced as support materials, which produced more active sites for the thiolated probe (P1) combination. Then, the presence of Hg2+ induced P1 to hybridize with the other oligonucleotide (P2) through Hg2+-mediated T-Hg2+-T complexes. In addition, the partial sequence of P2 acted as an initiator sequence, which led the two hairpin DNA (H1 and H2) strands to collectively form the extended double-strand DNA through the HCR process on the electrode surface. TB was employed to interact with the double strands and produce an efficient electrochemical signal. The proposed strategy combined the amplification of the HCR and the inherent redox activity of TB and utilized D-CuO/Au composites, which exhibited high sensitivity for Hg2+ determination. Under the optimum conditions, the proposed biosensor showed a prominent response for Hg2+, including a linear range from 1 pM to 100 nM and a detection limit of 0.2 pM (S/N = 3). Moreover, the new biosensor proved its potential application for trace Hg2+ determination in environmental water samples.

Low molecular weight pollutants from foods have aroused global attention due to their toxicity after long-time exposure. There is an increased demand for appropriate methods to detect these pollutants in foods. In this study, a brand-new type of nano metal–organic coordination polymers (MOCPs) nanocarriers (3D sakura-shaped copper (II) ions@ L -glutamic acid ( L -Glu)) has been first synthesized. We herein demonstrate a facile chelated method that allows the combination of copper (II) ions and L -Glu. A series of controlled experiments have revealed that the reaction time and the ratio of reactants played the crucial roles in affecting the morphology of the final product. 3D sakura-shaped Cu@ L -Glu combined with palladium-platinum nanoparticle (Pd-PtNPs) to obtain Cu@ L -Glu/Pd-PtNPs acting as the signal tag, which applied in electrochemical aptasensor for ultrasensitive detection of zearalenone (ZEN). A glassy carbon electrode was first modified with spherical Au-PANI-Au nanohybrids to enhance the conductivity and immobilize more amino modified ZEN aptamer. Cu@ L -Glu/Pd-PtNPs were labeled with Complementary DNA (partial matching with ZEN aptamer) to form bioconjugates for signal amplification. After the hybridization reaction of ZEN aptamer and the bioconjugates, a significant electrochemical signal from the catalysis of H2O2 by Cu@ L -Glu/Pd-PtNPs can be observed. ZEN competed with bioconjugates for binding to ZEN aptamer, resulting in decreased the electrochemical signal. Chronoamperometry was applied to record the final electrochemical signals. Under optimal conditions, the electrochemical aptasensor exhibited desirable sensitive detection of ZEN with a wide linearity ranging from 1 fg/mL to 100 ng/mL and a relatively low detection limit of 0.45 fg/mL (S/N = 3). Furthermore, the proposed electrochemical aptasensor shows excellent selectivity to the ZEN in the presence of possible interfering substances, and has potential application for ZEN detection in food samples.

The precise operation of the hypoxic tumor microenvironment presents a promising way to improve treatment efficacy, in particular in tumor synergistic phototherapy. This work reports an innovative approach to build adenosine triphosphate-modified hollow ceria nanozymes (ATP-HCNPs@Ce6) that manipulate tumor hypoxia to effectively achieve drug delivery. Hollow ceria nanoparticles (HCNPs) exhibit a controllable hollow structure through varying nitric acid concentrations in the nanocomposites. Specifically, ATP modification makes HCNPs exceptionally biocompatible and stable and acts as a regulator of HCNP enzymatic activity. In the stage of drug loading, newly prepared ATP-HCNPs@Ce6 serves as an in situ oxygen-generating agent because of its ability to simulate catalase. Therefore, ATP-HCNPs@Ce6 has adjustable enzymatic properties that act like a "switch" to selectively supply oxygen in response to high levels of hydrogen peroxide expression and the slightly acidic lysosomal environment of the tumor to enhance lysosome-targeted photodynamic therapy. Moreover, the obvious anticancer effects of ATP-HCNPs@Ce6 are demonstrated in vitro and in vivo. Overall, a simple and rapid self-assembly strategy to form and modify multifunctional HCNPs is reported, which may further propel their application in the field of precision tumor treatment.

The success of a robotic pick and place task depends on the success of the entire procedure: from the grasp planning phase, to the grasp establishment phase, then the lifting and moving phase, and finally the releasing and placing phase. Being able to detect and recover from grasping failures throughout the entire process is therefore a critical requirement for both the robotic manipulator and the gripper, especially when considering the almost inevitable object occlusion by the gripper itself during the robotic pick and place task. With the rapid rising of soft grippers, which rely heavily on their under-actuated body and compliant, open-loop control, less information is available from the gripper for effective overall system control. Tackling on the effectiveness of robotic grasping, this work proposes a hybrid policy by combining visual cues and proprioception of our gripper for the effective failure detection and recovery in grasping, especially using a proprioceptive self-developed soft robotic gripper that is capable of contact sensing. We solved failure handling of robotic pick and place tasks and proposed (1) more accurate pose estimation of a known object by considering the edge-based cost besides the image-based cost; (2) robust object tracking techniques that work even when the object is partially occluded in the system and achieve mean overlap precision up to 80%; (3) contact and contact loss detection between the object and the gripper by analyzing internal pressure signals of our gripper; (4) robust failure handling with the combination of visual cues under partial occlusion and proprioceptive cues from our soft gripper to effectively detect and recover from different accidental grasping failures. The proposed system was experimentally validated with the proprioceptive soft robotic gripper mounted on a collaborative robotic manipulator, and a consumer-grade RGB camera, showing that combining visual cues and proprioception from our soft actuator robotic gripper was effective in improving the detection and recovery from the major grasping failures in different stages for the compliant and robust grasping.

In this study, we report a novel strategy for reducing lipid levels through artificial receptor-mediated cholesterol efflux and promoting anti-inflammatory activity that is based on molecularly imprinted ceria nanocomposites (CeO2@MIP). The material was developed by imprinting cholesterol on the surface of CeO2 through radical polymerization of functional monomers. The imprinted molecules provide physicochemical properties that perfectly match the polarities and condensed ring structure of cholesterol, thus allowing easy binding to plaque sites and intracellular cholesterol. Due to its nanosize, CeO2@MIP promotes cholesterol efflux through exocytosis without stimulating cholesterol-related signaling pathways, and transports the cholesterol-CeO2@MIP complex to the liver via the mononuclear phagocytosis system. As a modular structure, CeO2 nanoparticles reduce the inflammatory response of lipid activation through their enzyme-mimicking activity. The local anti-inflammatory and cholesterol-lowering abilities of CeO2@MIP have been demonstrated in ApoE-/- atherosclerosis mice. During the treatment, no obvious side effects were observed. We believe that the new MIP-based method provides promising guidance for the treatment of atherosclerosis and other lipid-related diseases.

This paper studies the coordinated charging strategy of an electric vehicle (EV) charging station to achieve different objectives. The coordinated charging strategy considers not only the currently connected EVs but also the EVs will be connected to the charging station. The future charging demand is predicted, which is formulated in the form of a storage-like aggregated model. And a conseivative prediction method is proposed to consider uncertainty. An optimization model is built to obtain proper charging schedule which is solved as a rolling optimization problem for real-time control. Simulation results validates the effectiveness of the proposed model and solution method.

Chlorin e6 (Ce6) is a second generation photosensitizer for photodynamic therapy (PDT). However, free Ce6 still has some defects leading to reduced clinical efficacy, such as easy agglomeration in a physiological environment and poor accumulation in tumor tissue. In order to solve these problems, a hyaluronic acid (HA) modified zeolitic imidazolate framework-8 (ZIF-8) based Ce6 (ZIF-8@Ce6–HA) therapeutic agent is constructed for PDT by one-pot encapsulation and self-assembly. ZIF-8@Ce6–HA exhibits acceptable encapsulation efficiency, effective cell uptake and good biocompatibility. Moreover, the results of in vitro anticancer experiments demonstrated that the ZIF-8@Ce6–HA group exhibited greater cytotoxicity after irradiation than the free Ce6 group, which caused about 88.4% of HepG2 cells to die since ROS is produced by PDT. Additionally, the data of inductively coupled plasma mass spectrometry indicated that modification of HA increased the blood circulation time and reduced the systemic toxicity of ZIF-8@Ce6. In summary, this work created an interesting Ce6 therapeutic agent for PDT and provided the data for HA regarding the improvement in biocompatibility and biological half-life of metal organic frameworks.

Fuel cell electric vehicles (FCEVs) are rapidly growing owing to the increased publicawareness of energy and environmental issues. Infrastructure for hydrogen production,transportation, and allocation is essential for FCEV promotion. For consumers, availabil-ity of few hydrogen refuelling stations is the primary concern. Cur rently, public charginginfrastructure for battery electric vehicles, for example, fast charging station, has a morewidespread coverage compared to infrastructure for hydrogen refuelling. With an elec-trolyser, the existing power grid can be used as an alternative to hydrogen supply andtransportation infrastructure, which is still being developed. The authors propose a newconceptual combo station acting as both a hydrogen refuelling station and a fast chargingstation. This station can satisfy the requirement of FCEVs and battery electric vehicles, andeven operate under a blackout situation. To quantify the value of coordinated operation,an optimal operation formulation of a combo station is developed. It is found that such acombo station is capable of saving land rents, reducing power network reinforcement cost,and boosting energy self-balance capability under blackout condition.

T-2 toxin is a mycotoxin that can cause chronic illnesses, and the detection of T-2 toxin in food is critical for human health. Herein, a novel sandwich aptasensor with a dual signal amplification strategy was developed for the detection of T-2 toxin. Molybdenum disulfide-polyaniline-chitosan-gold nanoparticles (MoS2-PANI-Chi-Au) were processed to the modified glassy carbon electrode (GCE) and used as the aptasensor platform to expedite the electronics transport and immobilize the amino-terminated capture DNA probe by Au–N bonds. The reduced graphene oxide-tetraethylene pentamine-gold@platinum nanorods (rGO-TEPA-Au@Pt NRs) were first synthesized and immobilized with a signal DNA probe. Once T-2 toxin was added into the biosensing system, the aptamer would trap T-2 toxin to turn the signal off. Next, dissociative aptamer hybridized with the capture DNA probe in GCE and linked simultaneously to the signal DNA probe on rGO-TEPA-Au@Pt NRs with another end sequence of aptamer to turn the signal on. Owing to the efficient catalytic ability of bimetallic Au@Pt nanorods, the signal was perfectly amplified through the catalysis of hydrogen peroxide (H2O2) and recorded by chronoamperometry. With the outstanding augment response, the limit of detection reached 1.79 fg mL−1 (3SB/m) and a wide linear range from 10 fg mL−1 to 100 ng mL−1 was presented. The sensitivity of the aptasensor was 19.88 μA⋅μM−1⋅cm−2. Meanwhile, the DNA aptamer-bimetallic nanorod based sensing system presented excellent specificity. The developed aptasensor provides a new platform for T-2 toxin detection with low cost for real sample assays.

In this work, an innovative metal nanowire-based biosensor designed for the quantitative detection of semaphorin 3E (Sema 3E), a potential biomarker for several diseases such as atherosclerosis and systemic sclerosis, was proposed. For the biosensor fabrication, novel trimetallic CuAuPd nanowire networks (NNWs) were synthesized to utilize as a multifunctional substrate for electron transfer, antibody immobilization and signal amplification via catalyzing the decomposition of hydrogen peroxide. A facile one-step approach was employed at room temperature and atmospheric pressure to synthesize the CuAuPd NNWs, exhibiting advantages of high specific surface area, excellent electron transport property, superior catalytic property, and excellent biocompatibility. Cyclic voltammetry (CV), electrochemical impedance spectroscopy (EIS) and atomic force microscopy (AFM) was examined to determine the successful fabrication process of the sensor, while the electrochemical method of amperometric i-t curve was used for the detection of target. The results demonstrated accepted stability, excellent selectivity, sensitivity and accuracy, which displayed a linear range of the analyte concentration that covered 100 fg mL−1 to 10 ng mL−1, with a low detection limit of approximately 1.5 fg mL−1 (S/N = 3), achieved under optimum conditions. This result suggests that the sensor could be applied to the serum samples for Sema 3E quantitation.

We fabricate a novel electrochemical biosensor based on the specific thymine-Hg

In this work, an aptamer was used as the target capturing agent and a trimetallic signal amplification strategy based on Ce-MOF@Au and AuPtRu NPs was demonstrated for the sensitive detection of TSP-1. Herein, the synthesized AuPtRu nanocomposite (AuPtRu NPs) not only acts as the catalyst for catalyzing hydrogen peroxide but also acts as a nanocarrier for capturing the -NH2 termination single strand DNA (S1) to obtain the signal probe (SP, AuPtRu nanocomposite/S1). Then, SP was efficiently linked into TSP-1 aptamers with the addition of complementary linking strands to form M1 (SP/aptamer). The Ce-MOF@Au nanocomposites were obtained by in situ reduction and used as GCE electrode modification materials. The -NH2-modified capture probe (CP) DNA was immobilized on the surface of Ce-MOF@Au nanocomposites for hybridizing SP. In the presence of the target TSP-1, the aptamer recognizes the target and binds strongly so that SP is released from the prepared M1 and then hybridized with CP. When the detection solution contains an electrochemical matrix of H2O2, AuPtRu NPs can oxidize H2O2 to obtain an enhanced signal. Furthermore, the proposed aptasensor has a very low LOD of 0.13 fg mL−1 TSP-1 in the detection range of 1 fg mL−1 to 10 ng mL−1. Moreover, the proposed platform also has application implications for other potential targets.

This research describes a nanowire network-based method for detecting the activity of myeloperoxidase (MPO), a biomarker of acute coronary syndromes (ACS). Trimetallic CuPdPt nanowire networks (CuPdPt NWNWs) were prepared by a one-step chemical reduction method. The metallic precursors quickly form nanowire network structures without the need for additional capping agents or surfactants. This process creates a product with a clean surface. The NWNWs were dropped onto a glassy carbon electrode (GCE) to obtain a sensor with good catalytic activity towards the reduction of hydrogen peroxide (H2O2), which was used as an electrochemical probe working at −0.4 V (vs. SCE). It also provided a large surface for further modification. Next, an antibody against MPO was immobilized on the modified GCE via the stable conjunction between Cu, Pt, Pd and amino groups. Upon binding of MPO to the antibody on the GCE, the current response to H2O2 was reduced by 35 μA·cm−2. The immunosensor had a linear response within the 100 fg·mL−1 to 50 ng·mL−1 MPO concentration range and a 33 fg·mL−1 detection limit (at an S/N ratio of 3). The recovery of spiked serum samples ranged from 99.8 to 103.6%. This result suggests that the method can be applied to the quantitation of MPO in human serum samples.