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A novel multifunctional silica magnetic molecularly imprinted polymer (MQDs-MIPs) nanoparticle probe was synthesized for the rapid detection of triflumuron (TFM). The fluorescence probe consists of magnetite (Fe3O4) as a core and is wrapped with a molecularly imprinted polymer doped with Mn-doped ZnS quantum dots (QDs). Under optimal detection condition, the fluorescence quenching efficiency of MIP@Fe3O4@ZnS:Mn QDs displayed a linear relationship over the concentration range of 0–27.88 μmol/L with a correlation coefficient of 0.9947. Four structurally similar compounds were selected for selectivity testing and the nanocomposite showed good selectivity with a higher imprint factor of 2.52. This developed method has the advantages of simple preparation, fast response and low toxicity for trace TFM detection. [ABSTRACT FROM AUTHOR]

Objective • This study was to analyze and compare the clinical efficacy of open reduction and internal fixation through posterolateral and the posterior medial approach to treat Haraguchi Type II posterior malleolar fracture. Methods • The clinical data of 91 patients with trimalleolar fractures sent to our hospital from January 2018 to January 2020 were analyzed. All of the patients were the result of traumatic injuries, such as sprains or car accidents. All patients were treated with open reduction and internal fixation and divided into control group and observation group according to different surgical approaches. Forty-five cases were treated with the posterolateral approach(control group) and forty-six cases treated with the posteriormedial approach(observation group) . The operation status of the two groups (operating time, intraoperative blood loss, postoperative drainage, and hospital stay), postoperative status (visual analogue scale (VAS) before the operation, 1d, 3d and 7d after operation), the score of patient’s American orthopedic foot and ankle society (AOFAS) at the time of discharge, fracture healing time and full weight-bearing time), efficacy and safety were recorded. Results • All cases underwent surgery, with no significant difference in the time from fracture to surgery between the control and observation groups (P > .05). Compared to the control group, the operating time, intraoperative blood loss, postoperative drainage, and hospital stay in the observation group were significantly reduced (P < .05). One day after the operation, no significant difference was shown in VAS between 2 groups (P > .05), while AOFAS score in the observation group was significantly increased (P < .05). Three and 7 days after the operation, VAS, fracture healing time, and full weight-bearing time were significantly decreased in both groups (P < .05). In the control group, the cases with excellent, good, fair, and poor efficacy were 26, 8, 5, 6, with an acceptable rate of 86.67% (39/45). In the observation group, the cases with excellent, good, fair, and poor efficacy were 29, 10, 5, and 2, with an acceptable rate of 95.65% (44/46). There was no significant difference in efficacy between the 2 groups (P > .05). During the follow-up time of 12~27 months (the median time of 18.5 months), all patients showed first-stage grade A healing, and osseous union with good fixation position and no fracture, deformation, loosening or prolapse, and no sural nerve injury or incision infection occurred. Conclusion • Both the posterolateral approach and posterior medial approach open reduction and internal fixation can be used to treat Haraguchi type II posterior malleolus fractures, with good efficacy and safety. The posterior medial approach showed faster recovery and less damage than the posterolateral approach. Overall, the posterolateral approach is more dominant in the treatment of Haraguchi Type II posterior malleolar fracture. [ABSTRACT FROM AUTHOR]

In order to study the temperature control of the IoT for indirect dual tank heat storage systems in solar thermal power plants, the author proposes a refined design method for heat storage systems. Through CFD software FLUENT analysis, the author proposes a temperature control scheme for storage tanks in solar thermal power plants and applies this method to the temperature control and salt injection processes of actual commercial power plants. The refined design of a systematic heat storage system mainly involves precise calculation of molten salt content and refined analysis of overall and local stresses in the storage tank. For molten salt storage tanks with a diameter of about 30 m, every 1 cm of liquid level design error will result in economic losses of tens of thousands of Yuan. In addition, the design process of storage tanks should fully consider temperature control, salt injection, and some special operating conditions during operation. By numerically simulating the flow process of flue gas and molten salt in the storage tank and the real-time wall temperature of the storage tank, a temperature control scheme that does not exceed the maximum allowable wall temperature difference of the storage tank is obtained to reduce thermal stress during the temperature control process of the storage tank, reduce the risk and failure rate of the storage tank. The temperature control scheme has achieved good results in practical projects. [ABSTRACT FROM AUTHOR]

A novel nanocomposite fluorescent probe consisting of quantum dots and a silica molecularly imprinted polymer (MIPs-capped ZnS:Mn QDs) was synthesized and applied for the rapid detection of teflubenzuron (TBZ) based on the fluorescence quenching of a composite probe via TBZ. The fluorescence quenching efficiency of MIP@SiO2@ZnS:Mn QDs displayed a linear relationship over the concentration range of 0–26.24 μmol/L with a correlation coefficient of 0.9857 and the limit of detection was 2.4 μg/L. The selectivity test showed that the nanocomposite had good selectively rebind TBZ with higher imprinting factor of 3.06 compared with four structurally similar compounds. In addition, the probe was successfully applied to the detection of TBZ in vegetable samples with a recovery of 90.3~97.1% and with a relative standard deviation below 3.2%. This developed method has the advantages of simple preparation, fast response and low toxicity for trace TBZ detection. [ABSTRACT FROM AUTHOR]

The power transmission and transformation projects in the western region are facing the threat of frequent seismic activities, landslides and other geological disasters. Evaluation of the landslide susceptibility in power transmission projects has important theoretical and practical significance for the selection of power transmission channels and station sites, landslide monitoring and prevention in western mountainous areas. This paper takes the Erlang Mountain-Zheduo Mountain power transmission as the research area, based on the study of characteristics of landslide, evaluation factors are selected from aspects such as meteorology, hydrology, topography, rock and soil types; a weighted information model was established by using Pearson correlation coefficient method, CRITIC weight method, and independence weight coefficient method. Based on ArcGIS technology and weighted information model, the landslide susceptibility of Erlang Mountain-Zheduo Mountain Power Transmission Project is evaluated. The ROC curves and AUC value were used to verify the effect of weighted information model, and its AUC value is 0.866, indicating that HPIV model has a good prediction effect on landslide disasters. [ABSTRACT FROM AUTHOR]

Objectives. This study aimed to develop an initial deep-learning (DL) model based on computerized tomography (CT) scans for diagnosing lumbar spinal stenosis. Summary of Background Data. Magnetic resonance imaging is commonly used for diagnosing lumbar spinal stenosis due to its high soft tissue resolution, but CT is more portable, cost-effective, and has wider regional coverage. Using DL models to improve the accuracy of CT diagnosis can effectively reduce missed diagnoses and misdiagnoses in clinical practice. Materials and Methods. Axial lumbar spine CT scans obtained between March 2022 and September 2023 were included. The data set was divided into a training set (62.3%), a validation set (22.9%), and a control set (14.8%). All data were labeled by two spine surgeons using the widely accepted grading system for lumbar spinal stenosis. The training and validation sets were used to annotate the regions of interest by the two spine surgeons. First, a region of interest detection model and a convolutional neural network classifier were trained using the training set. After training, the model was preliminarily evaluated using a validation set. Finally, the performance of the DL model was evaluated on the control set, and a comparison was made between the model and the classification performance of specialists with varying levels of experience. Results. The central stenosis grading accuracies of DL Model Version 1 and DL Model Version 2 were 88% and 83%, respectively. The lateral recess grading accuracies of DL Model Version 1 and DL Model Version 2 were 75% and 71%, respectively. Conclusions. Our preliminarily developed DL system for assessing the degree of lumbar spinal stenosis in CT, including the central canal and lateral recess, has shown similar accuracy to experienced specialist physicians. This holds great value for further development and clinical application. [ABSTRACT FROM AUTHOR]

• Plasmalogen strongly attenuated the activation of pSTAT3/PIM1/NFATc1 axis. • Plasmalogen significantly suppressed NLRP3 inflammasome activation. • Plasmalogen tended to improve cerebral HP-enhanced cerebral vascular dysfunction. A strong relationship between Alzheimer's disease (AD) and vascular dysfunction has been the focus of increasing attention in aging societies. In the present study, we examined the long-term effect of scallop-derived plasmalogen (sPlas) on vascular remodeling-related proteins in the brain of an AD with cerebral hypoperfusion (HP) mouse model. We demonstrated, for the first time, that cerebral HP activated the axis of the receptor for advanced glycation endproducts (RAGE)/phosphorylated signal transducer and activator of transcription 3 (pSTAT3)/provirus integration site for Moloney murine leukemia virus 1 (PIM1)/nuclear factor of activated T cells 1 (NFATc1), accounting for such cerebral vascular remodeling. Moreover, we also found that cerebral HP accelerated pSTAT3-mediated astrogliosis and activation of the nucleotide-binding domain and leucine-rich repeat protein 3 (NLRP3) inflammasome, probably leading to cognitive decline. On the other hand, sPlas treatment attenuated the activation of the pSTAT3/PIM1/NFATc1 axis independent of RAGE and significantly suppressed NLRP3 inflammasome activation, demonstrating the beneficial effect on AD. [ABSTRACT FROM AUTHOR]

[Display omitted] • Fe/Fe 3 O 4 /C hollow absorber fibers were prepared using hollow ceiba fiber as template. • Fe/Fe 3 O 4 /C hollow fibers exhibited excellent absorption performance. • Fe/Fe 3 O 4 /C hollow fibers had a minimum reflection loss of −40.1 dB. • Hollow structure lengthened the wave transmission path and improve dielectric loss. • Biochar from ceiba improved the impedance matching of Fe/Fe 3 O 4 /C hollow fibers. Electromagnetic-wave-absorbing fibers have been proposed as a method for addressing electromagnetic wave pollution. In this study, Fe/Fe 3 O 4 /C hollow electromagnetic wave absorbers were prepared using hollow ceiba fibers as templates. The ceiba fibers were immersed in an Fe(NO 3) 3 solution and sintered in argon to obtain Fe/C or Fe 3 O 4 /C hollow fibers with biochar. The wave absorption performance of the proposed Fe/Fe 3 O 4 /C hollow fibers was generally better than that of standard solid fibers. A minimum reflection loss of − 40.1 dB and an optimal effective bandwidth of 3.26 GHz were obtained. The proposed hollow structure could make the incident electromagnetic waves reflect and scatter many times, which led to significant electromagnetic wave energy consumption. Moreover, the impedance matching of magnetic materials, such as iron and its oxides, could be adjusted using the biochar of ceiba so that magnetic and dielectric losses work together to absorb electromagnetic waves. [ABSTRACT FROM AUTHOR]

The deep learning-based method demonstrates superior capability in high-temperature deterioration analysis of rock materials through scanning electron microscopy (SEM) characterization. However, the blurred boundaries between rock particles and pore structure presented in SEM images always affect the training efficiency. Hence, in this study, the metal intrusion technology and backscattered electron (BSE) observations are applied to assist a deep learning-based model to analyze the deterioration of the rock materials exposed to different levels of high temperatures. >2000 micro images for each level were inputted and trained to distinguish the features of rock after 5 temperature levels deterioration. The results reveal that the classification accuracy on the heat deterioration of the rock materials achieved 94.3%. The classification accuracy under the optimized observation area (from 240 pixels × 240 pixels to 280 pixels × 280 pixels) is stable over 90%, balancing the high precision and training efficiency. Moreover, the interpretable high-temperature degradation characteristics of the micro-damage on rock particles and pore regions can be extracted, enabling further analysis of the degradation process of high-temperature treated rocks. We expect this work will inspire a high-precision, wide-application and cost-efficient method for the deterioration analysis of rock materials in underground projects. • One high-precision rock deterioration analysis method is proposed. • The classification accuracy of the deteriorated rock hits up to 94.3%. • Sufficient observation intervals are conducive to feature extraction. • The micro-damage on rock particles can be extracted via the proposed method. [ABSTRACT FROM AUTHOR]

This paper analyzes the bandwidth of the time-interleaved analog-to-digital converter (TI-ADC) with hierarchical sampling and presents an 8-bit 32-GS/s TI-ADC in 28-nm CMOS. The front-end sampler is implemented by a two-stage hierarchical sampling architecture to extend the analog input bandwidth. The 32-way sub-ADCs are realized with 2b/cycle successive approximation register (SAR) architecture and non-binary search strategy, which meet the requirements of high speed, medium resolution, and strong robustness. Multi-phase low-jitter clock tree is designed based on the delay-locked loop (DLL). Calibration methods for timing skew, offset and gain mismatches are introduced to improve accuracy. The proposed TI-SAR ADC achieves an analog input bandwidth of 23.7 GHz. It occupies an active area of 0.55 mm2 and consumes 356 mW at 1.8/1 V supply. [ABSTRACT FROM AUTHOR]