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Intracerebral hemorrhage is a lethal cerebrovascular disease, and the inevitable secondary brain injury (SBI) is responsible for serious disability and death. Perfect therapeutic goal is to minimize SBI and restore neurobehavioral functions. Recently, neuroprotection is highlighted to reduce SBI, but it still faces "Neuronal survival but impaired functions" dilemma. Herein, this work further proposes a novel combinational therapeutic strategy of neuroprotection and neurogenesis toward this goal. However, appropriate therapeutic agents are rarely reported, and their discovery and development are urgently needed. Selenium participates in various physiological/pathological processes, which is hypothesized as a potential targeting molecule. To explore this effect, this work formulates an ultra-small selenium nanodot with a seleno-amino acid derived carbon dot domain and a hydrophilic PEG layer, surprisingly finding that it increases various selenoproteins levels at perihematomal region, to not only exert multiple neuroprotective roles at acute phase but promote neurogenesis and inhibit glial scar formation at recovery phase. At a safe dose, this combinational strategy effectively prevents SBI and recovers neurobehavioral functions to a normal level. Furthermore, its molecular mechanisms are revealed to broaden application scopes in other complex diseases. [ABSTRACT FROM AUTHOR]

The undesirable capacity loss after first cycle is universal among layered cathode materials, which results in the capacity and energy decay. The key to resolving this obstacle lies in understanding the effect and origin of specific active Li sites during discharge process. In this study, focusing on Ah‐level pouch cells for reliability, an ultrahigh initial Coulombic efficiency (96.1%) is achieved in an archetypical Li‐rich layered oxide material. Combining the structure and electrochemistry analysis, we demonstrate that the achievement of high‐capacity reversibility is a kinetic effect, primarily related to the sluggish Li mobility during oxygen reduction. Activating oxygen reduction through small density would induce the oxygen framework contraction, which, according to Pauli repulsion, imposes a great repulsive force to hinder the transport of tetrahedral Li. The tetrahedral Li storage upon deep oxygen reduction is experimentally visualized and, more importantly, contributes to 6% Coulombic efficiency enhancement as well as 10% energy density improvement for pouch cells, which shows great potentials breaking through the capacity and energy limitation imposed by intercalation chemistry. [ABSTRACT FROM AUTHOR]

The short-circuit ratio index (SCR) can effectively quantify the voltage support strength in traditional DC grid-connected scenarios, yet it cannot reasonably describe the voltage support strength in diverse device grid connection scenarios. This paper introduces a new calculation method of the complex short-circuit ratio index (SCR) and derives the threshold value of the complex short-circuit ratio index to enable a comprehensive quantitative assessment of grid voltage support strength across diverse device grid connection scenarios. Firstly, critical short-circuit ratio (CSCR) under different assumed conditions were derived based on the short-circuit ratio index. Secondly, the calculation method of the complex short-circuit ratio index was introduced, considering both the equivalent impedance angle of the device and the Thevenin equivalent impedance angle. This was followed by the determination of the threshold value of the complex short-circuit ratio (CSCR), enabling a precise quantitative evaluation of power grid voltage support strength in diverse device grid connection scenarios. Finally, the example analysis proves the accuracy and efficacy of the complex short-circuit ratio index in assessing the voltage support strength of diverse devices in grid-connected scenarios. [ABSTRACT FROM AUTHOR]

Pipeline leakage seriously threatens the efficient and safe gas drainage in coal mines. To achieve the accurate detection and localization of gas drainage pipeline leakages, this study proposes a gas drainage pipeline leakage detection and localization approach based on the pressure gradient method. Firstly, the basic law of gas flow in the drainage pipeline was analyzed, and a pipeline network resistance correction formula was deduced based on the pressure gradient method. Then, a drainage pipeline model was established based on the realizable k - ε turbulence model, and the pressure and flow velocity distribution during pipeline leakage under different leakage degrees, leakage locations, and pipeline negative pressures were simulated and analyzed, thus verifying the feasibility of the pipeline leakage detection and localization method. It is concluded that the positioning errors of pipeline leakage points under different leakage degrees, different leakage positions, and different pipeline negative pressures were 0.88~1.08%, 0.88~1.49%, and 0.68~0.88%, respectively. Finally, field tests were conducted in the highly located drainage roadway 8421 of the Fifth Mine of Yangquan Coal Industry Group to verify the accuracy of the proposed pipeline leakage detection and localization method, and the relative error was about 8.2%. The results show that with increased pipeline leakage hole diameters, elevated pipeline negative pressures, and closer leakage positions to the pipeline center, the relative localization error was smaller, the localization accuracy was higher, and the stability was greater. The research results could lay the foundation for the fault diagnosis and localization of coal mine gas drainage pipeline networks and provide technical support for safe and efficient coal mine gas drainage. [ABSTRACT FROM AUTHOR]

Given a bounded smooth domain $ \Omega $ in $ \mathbb{R}^2 $, we study the following anisotropic elliptic problem$\begin{cases}-\nabla(a(x) \nabla v)=a(x)\left[e^v-s \phi_1-4 \pi \alpha \delta_q-h(x)\right] & \text { in }\; \Omega, \\ v=0 & \text { on }\; \partial \Omega,\end{cases}$where $ a(x) $ is a positive smooth function, $ s>0 $ is a large parameter, $ h\in C^{0,\gamma}(\overline{\Omega}) $, $ q\in\Omega $, $ \alpha\in(-1,+\infty)\setminus\mathbb{N} $, $ \delta_q $ denotes the Dirac measure with pole at point $ q $ and $ \phi_1 $ is a positive first eigenfunction of the problem $ -\nabla\big(a(x)\nabla \phi\big) = \lambda a(x)\phi $ under Dirichlet boundary condition in $ \Omega $. We show that if $ q $ is both a local maximum point of $ \phi_1 $ and an isolated local maximum point of $ a(x)\phi_1 $, this problem has a family of solutions $ \upsilon_s $ with arbitrary $ m $ bubbles accumulating to $ q $ and the quantity $ \displaystyle{\int}_{\Omega}a(x)e^{\upsilon_s}\rightarrow8\pi(m+1+\alpha)a(q)\phi_1(q) $ as $ s\rightarrow +\infty $, which give a positive answer to the Lazer-McKenna conjecture for this case. [ABSTRACT FROM AUTHOR]

Objective: To screen the risk factors affecting the recurrence risk of patients with ampullary carcinoma (AC)after radical resection, and then to construct a model for risk prediction based on Lasso-Cox regression and visualize it. Methods: Clinical data were collected from 162 patients that received pancreaticoduodenectomy treatment in Hebei Provincial Cancer Hospital from January 2011 to January 2022. Lasso regression was used in the training group to screen the risk factors for recurrence. The Lasso-Cox regression and Random Survival Forest (RSF) models were compared using Delong test to determine the optimum model based on the risk factors. Finally, the selected model was validated using clinical data from the validation group. Results: The patients were split into two groups, with a 7:3 ratio for training and validation. The variables screened by Lasso regression, such as CA19-9/GGT, AJCC 8th edition TNM staging, Lymph node invasion, Differentiation, Tumor size, CA19-9, Gender, GPR, PLR, Drinking history, and Complications, were used in modeling with the Lasso-Cox regression model (C-index = 0.845) and RSF model (C-index = 0.719) in the training group. According to the Delong test we chose the Lasso-Cox regression model (P = 0.019) and validated its performance with time-dependent receiver operating characteristics curves(tdROC), calibration curves, and decision curve analysis (DCA). The areas under the tdROC curves for 1, 3, and 5 years were 0.855, 0.888, and 0.924 in the training group and 0.841, 0.871, and 0.901 in the validation group, respectively. The calibration curves performed well, as well as the DCA showed higher net returns and a broader range of threshold probabilities using the predictive model. A nomogram visualization is used to display the results of the selected model. Conclusion: The study established a nomogram based on the Lasso-Cox regression model for predicting recurrence in AC patients. Compared to a nomogram built via other methods, this one is more robust and accurate. [ABSTRACT FROM AUTHOR]

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Aim: The aim of this review was to determine the effectiveness of the e‐learning programs for improving the knowledge and professional practices of nursing personnel in managing pressure injuries patients. Design: Systematic review and meta‐analysis. Methods: Systematic search was done in EMBASE, SCOPUS, Cochrane library, MEDLINE, Google Scholar, ScienceDirect and Clinicaltrials.gov databases until August 2022. Meta‐analysis was carried out using random‐effects model, and the results were reported as pooled standardized mean differences (SMD), or odds ratios (OR) with 95% confidence intervals (CIs). Results: Eight studies were included in the analysis. Most of the studies had higher risk of bias. The pooled SMD for knowledge score and for the classification skill were 1.40 (95%CI: 0.45–2.35; I2 = 93.1%) and 1.75 (95%CI: 0.94–3.24; I2 = 78.3%) respectively. The pooled OR for the classification skills was 1.75 (95%CI: 0.94–3.24; I2 = 78.3%). Patient or Public Contribution: No patient or public contribution. [ABSTRACT FROM AUTHOR]

The potential advantages of intelligent wireless communications with millimeter wave (mmWave) and massive multiple-input multiple-output (MIMO) are based on the availability of instantaneous channel state information (CSI) at the base station (BS). However, no existence of channel reciprocity leads to the difficult acquisition of accurate CSI at the BS in frequency division duplex (FDD) systems. Many researchers explored effective architectures based on deep learning (DL) to solve this problem and proved the success of DL-based solutions. However, existing schemes focused on the acquisition of complete CSI while ignoring the beamforming and precoding operations. In this paper, we propose an intelligent channel feedback architecture using eigenmatrix and eigenvector feedback neural network (EMEVNet). With the help of the attention mechanism, the proposed EMEVNet can be considered as a dual channel auto-encoder, which is able to jointly encode the eigenmatrix and eigenvector into codewords. Simulation results show great performance improvement and robustness with extremely low overhead of the proposed EMEVNet method compared with the traditional DL-based CSI feedback methods. [ABSTRACT FROM AUTHOR]

This study aimed to predict the outcome of patient specific quality assurance (PSQA) in IMRT for breast cancer using complexity metrics, such as MU factor, MAD, CAS, MCS. Several breast cancer plans were considered, including LBCS, RBCS, LBCM, RBCM, left breast, right breast and the whole breast for both Edge and TrueBeam LINACS. Dose verification was completed by Portal Dosimetry (PD). The receiver operating characteristic (ROC) curve was employed to determine whether the treatment plans pass or failed. The area under the curve (AUC) was used to assess the classification performance. The correlation of PSQA and complexity metrics was examined using Spearman’s rank correlation coefficient (Rs). For LINACS, the most suitable complexity metric was found to be the MU factor (Edge Rs = − 0.608, p < 0.01; TrueBeam Rs = − 0.739, p < 0.01). Regarding the specific breast cancer categories, the optimal complexity metrics were as follows: MAD (AUC = 0.917) for LBCS, MCS (AUC = 0.681) for RBCS, MU factor (AUC = 0.854) for LBCM and MAD (AUC = 0.731) for RBCM. On the Edge LINAC, the preferable method for breast cancers was MCS (left breast, AUC = 0.938; right breast, AUC = 0.813), while on the TrueBeam LINAC, it became MU factor (left breast, AUC = 0.950) and MCS (right breast, AUC = 0.806), respectively. Overall, there was no universally suitable complexity metric for all types of breast cancers. The choice of complexity metric depended on different cancer types, locations and treatment LINACs. Therefore, when utilizing complexity metrics to predict PSQA outcomes in IMRT for breast cancer, it was essential to select the appropriate metric based on the specific circumstances and characteristics of the treatment. [ABSTRACT FROM AUTHOR]

Visualization of photothermal therapy mediated by photothermal transduction agents (PTAs) is important to promote individual treatment of patients with low side effects. Photoacoustic detection has emerged as a promising noninvasive method for the visualization of PTAs distribution but still has limitations in temperature measurement, including poor measurement accuracy and low tissue penetration depth. In this study, we developed biocompatible semiconducting polymer dots (SPD) for in situ coupling of photothermal and photoacoustic detection in the near-infrared II window. SPD has dual photostability under pulsed laser and continuous-wave laser irradiation with a photothermal conversion efficiency of 42.77%. Meanwhile, a strong correlation between the photoacoustic signal and the actual temperature of SPD can be observed. The standard deviation of SPD-mediated photoacoustic thermometry can reach 0.13 °C when the penetration depth of gelatin phantom is 9.49 mm. Preliminary experimental results in vivo show that SPD-mediated photoacoustic signal has a high signal-to-noise ratio, as well as good performance in temperature response and tumor enrichment. Such a study not only offers a new nanomaterial for the visualization of photothermal therapy but will also promote the theranostic platform for clinical applications. [ABSTRACT FROM AUTHOR]

To reveal the genetic diversity and population structure of upland cotton germplasms distributed in China, molecular marker research was carried out on 191 upland cotton germplasm resources by using 26 simple sequence repeat (SSR) markers to analyse polymorphism and population structure. A total of 92 clearly identifiable bands were amplified from 65 SSR markers, with an average of 3.54 per marker. The mean number of observed alleles (Na) was 1.984, the effective allele number (Ne) was 1.534, the gene diversity index (h) was 0.312, the Shannon–Weaver index (I) was 0.470, and the polymorphism information content (PIC) of the primers was 0.530. Cluster analysis divided the germplasm into 11 groups at a genetic distance of 0.52, and group 1 was divided into 6 subgroups at a genetic distance of 0.39. The germplasms from different regions were interspersed among the various groups, indicating that the germplasm resources within cotton regions were also quite different. All materials were divided into three populations by structure analysis, and there was gene exchange between the three groups, thereby indicating that the resource utilization scope was relatively narrow and that the genetic basis of cultivars was relatively low in breeding units for a long time. The above results showed that the DNA clustering of upland cotton germplasm was not related to its geographical origin but to its genetic relationships, thus indicating the genetic diversity and complexity of cotton germplasm. The results lay a foundation and provide a reference for directional breeding in cotton. [ABSTRACT FROM AUTHOR]

Screen time has become a hot button issue in psychology with researchers fiercely debating its mental effects. If we want to understand the psychological dynamics of technology use, however, a numerical conceptualization of screen time will lead us to gloss over crucial distinctions. To make this point, the present article takes a hermeneutic approach to a negative form of screen time known as 'phubbing', which is the practice of snubbing conversational partners in favor of one's phone. Using interview data, it is demonstrated that whether or not phone use amounts to phubbing, that is, whether or not it tips over and becomes harmful, depends on a host of contextual factors such as relation (who), content (what), purpose (why), timing (when), and communication (how). These findings demonstrate that not all screen time is created equal: what is harmful and inappropriate in one context is benign in another, and vice versa. Simply put, screen time is not a numerical entity whose causal effects we can measure and explain, but a meaningful activity that we must try to understand. [ABSTRACT FROM AUTHOR]

Although oxygen redox in Li‐rich layered cathodes can boost the available capacity over 250 mAh g−1, it also brings a rapid capacity fade upon long‐term cycling and serious safety issue during thermal abuse. To circumvent these problems, an integrated strategy via interlayer regulation at surface and the delocalization of Li2MnO3‐like domain on bulk is proposed. The controllable interlayer by atomic layer deposition can maximize the coating effects on elimination of the lattice mismatch to inhibit the structural degradation during cycling. And the delocalized Li2MnO3‐like domain through compositional control can fully prohibit lattice oxygen release from the bulk to improve the thermal stability of electrode. The optimized cathode material exhibits a capacity retention of 94.0% after 200 cycles. A 1.25 Ah multilayer pouch cell with the cathode and graphite anode delivers an outstanding cycling performance that retains 80.4% of its capacity at 0.5 C after 710 cycles. More importantly, the distinguished safety features derived from the method are verified after successfully passing practical‐level thermal safety and nail penetration test. [ABSTRACT FROM AUTHOR]

Ammonia (NH3) emitted from synthetic nitrogen (N) fertiliser applications to farmland leads to air pollution and terrestrial acidification. Previous studies have indicated that replacing urea-based N fertilisers by manure may reduce NH3 emissions and enhance crop yield. However, the long-term effects of replacing urea N fertiliser by manure on crop yield and NH3 emissions have not been sufficiently quantified. The objective of the field study presented here was to examine the effects of three treatments (i.e., 100% synthetic fertiliser N application (NPK); 50% synthetic fertiliser N +50% manure N application (50%MNS); and 100% manure N application (100%MNS)) on NH3 emissions and maize grain yields over a 3-year period in a long term (13 years) study site in the North China Plain. Results showed that the NH3 emissions in the NPK treatment ranged from 9.7 to 11.7 kg ha− 1 during the three maize growing seasons. Replacement of urea fertiliser by manure significantly decreased the NH3 emissions by 22–54% in the 50% MNS treatment and by 47–71% in the 100%MNS treatment. Maize grain yields were 14–30% higher in the 50%MNS treatment and 17–45% higher in the 100% MNS treatment, compared to the NPK treatment (8.1–8.8 t ha− 1). The NH3 emission factor for the NPK treatment ranged from 4.1 to 4.8%. Additional 15 N labelling work established that 83% of NH3 emissions originated from the urea fertiliser in the NPK treatment. Manure treatments had a higher maize N uptake and soil organic matter content, and a lower soil pH than the NPK treatment. This study highlights that replacing synthetic N fertiliser with manure on farmland in the North China Plain has long-term beneficial effects on maize yield and N uptake, NH3 emission mitigation and soil carbon storage. [ABSTRACT FROM AUTHOR]

Background: Iron plays an important role in neuronal injury and edema formation after intracranial hemorrhage. However, the role of serum iron in aneurysmal subarachnoid hemorrhage (aSAH) is yet to be well-established. This study aims to identify whether serum iron could predict postoperative global cerebral edema (GCE) and poor outcome in aSAH. Methods: 847 patients' aSAH clinical data were retrospectively collected at the First Affiliated Hospital of Fujian Medical University. Data on demographics, clinical characteristics, and laboratory values were collected and analyzed through univariate and multivariate analyses. Propensity score matching (PSM) analysis was performed to balance the baseline differences between the groups. Results: The incidence of high-grade global cerebral edema (H-GCE) following aSAH was 12.99% (110/847). Serum iron levels [odds ratio (OR) = 1.143; 95% confidence interval (CI), (1.097–1.191); p < 0.001] were associated with the occurrence of H-GCE following aSAH in the univariate analysis. This association remained statistically significant even after adjusting for other variables in the multivariate model, with serum iron having an OR of 1.091 (95% CI, 1.043–1.141; p < 0.001) for GCE. After 1:1 PSM, serum iron levels ≤ 10.7 µmol/L remained a significant independent predictor of GCE (p = 0.002). The receiver operating characteristic (ROC) curve analysis determined that a serum iron cut-off value of ≤ 10.7 µmol/L was optimal for predicting H-GCE [Areas under the ROC curves (AUC) = 0.701, 95% CI, (0.669–0.732), p < 0.001; sensitivity, 67.27%; specificity, 63.77%] in patients with aSAH. Additionally, a trend was observed in which higher Hunt-Hess grades (HH grade) were associated with lower serum iron levels, and higher modified Fisher grades (mFisher grade) were associated with lower serum iron levels. In addition, the serum iron level was also associated with a 3-month functional neurological outcome (p < 0.001). Conclusions: The results of this study indicate that a decreased serum iron level serves as a clinically significant biomarker for the prediction of postoperative GCE and a poor outcome at 3-months in patients with aSAH. [ABSTRACT FROM AUTHOR]

Predictable logistics disruptions due to scheduled lockdowns for large-scale events such as the Olympic Games may not only reduce supply chain profits, but also increase carbon emissions. To help solve these problems, an emergency transit policy to be applied to the logistics path is an effective solution. However, optimal inventory control is needed. This paper proposes an optimization model to control ordering and inventory policies for decentralized and centralized supply chains. The model considers the logistics path damping coefficient, the logistics path acceleration coefficient, and the vehicle loading capacity ratio in emergency transit. Our major findings include the following. First, supply chain profits under centralization are confirmed to be higher than under decentralization. Second, a price discount mechanism can achieve supply chain coordination. Third, the manufacturers in a centralized supply chain are more inclined to choose a logistics path with a high acceleration coefficient in order to let their cargo arrive quickly and to reduce the impact of the lead time demand fluctuations. Finally, the implications of our research results for carbon emission reductions are discussed. [ABSTRACT FROM AUTHOR]

Aggregation‐induced emission luminogens (AIEgens) as a new class of optical probes for two‐photon imaging (2PI) have attracted extensive attention in the research community. However, their non‐radiative energy dissipation plays a non‐negligible role in energy consumption, thereby weakening their performance in 2PI. Exploration of a facile and general approach to control the energy relaxation pathways is thus a fascinating yet significantly challenging task. To address this concern, an organic doping method is proposed herein by using TPE‐Br as the doping AIEgen and MeOTTMN as the functional AIEgen. With increased amount of doping molecules, a steadily strengthened brightness (up to 29‐fold of quantum yield) is observed at the expense of reactive oxygen species production. Remarkably, an ultradeep imaging depth of 1000 µm in a mouse brain is realized via 2PI using the heavily organic‐doped AIEgen(ODA) nanoparticles (NPs). Such result is far superior to the imaging depth of 156 µm enabled by MeOTTMN NPs. The safe use of ODA NPs is further evaluated by in vitro and in vivo toxicity assessment. This study thus provides an attractive paradigm to control the energy relaxation of AIEgen NPs and maximize their performance in 2PI while circumventing the difficulties in molecular engineering. [ABSTRACT FROM AUTHOR]

Compressing high-energy laser pulses to a single-cycle and realizing the "λ3 laser concept", where λ is the wavelength of the laser, will break the current limitation of super-scale projects and contribute to the future 100-petawatt and even Exawatt lasers. Here, we have realized ultra-broadband gold gratings, core optics in the chirped pulse amplification, in the 750–1150 nm spectral range with a > 90% −1 order diffraction efficiency for near single-cycle pulse stretching and compression. The grating is also compatible with azimuthal angles from −15° to 15°, making it possible to design a three-dimensional compressor. In developing and manufacturing processes, a crucial grating profile with large base width and sharp ridge is carefully optimized and controlled to dramatically broaden the high diffraction efficiency bandwidth from the current 100–200 nm to over 400 nm. This work has removed a key obstacle to achieving the near single-cycle 100-PW lasers in the future. Gratings are used for pulse compression and stretching in chirped pulse amplification (CPA) or optical parametric CPA methods. Here the authors demonstrate ultra-broadband gold gratings that can compress single-cycle pulses with powers around 100 petawatts. [ABSTRACT FROM AUTHOR]

Klebsiella pneumoniae is a widespread pathogen of several human diseases. The emergence of multidrug-resistant K. pneumoniae makes the treatment of these diseases a significant challenge. The application of bacteriophages is a potential approach for dealing with the emergence of multidrug-resistant pathogenic bacteria. This study isolates a novel bacteriophage vB_KleM_KB2 that infects the multidrug-resistant clinical isolates of K. pneumoniae. The bacteriophage exhibits a short latent period of 10 min, and can effectively lyse the bacterium within 60 min. Notably, the bacteriophage can completely inhibit the growth of the host bacterium at the initial concentration of 107 CFU/mL with a low multiplicity of infection of 0.001, which proves its high lytic activity. Furthermore, the bacteriophage shows high environmental tolerances, which can facilitate the practical application of the bacteriophage. Analysis of the bacteriophage genome shows that the bacteriophage possesses a novel genome sequence and can represent a new bacteriophage genus. Considering the high lytic activity, short latent period, high stability, and novel genetic background, bacteriophage vB_KleM_KB2 enriches the bacteriophage library and provides a new alternative for controlling the diseases caused by multidrug-resistant pathogenic K. pneumoniae. [ABSTRACT FROM AUTHOR]

To investigate the influence of the weak layer dip angle on the creep rupture of the composite rock mass, this paper conducts a graded loading creep experiment on the composite rock mass with different dip angles using the acoustic emission method to examine the fracture evolution process. With increasing load grade, the cumulative total ring count of the rock mass shows a "U"-shaped trend, and the acoustic emission spatial positioning results show that acoustic emission events in the rock mass fracture process are primarily concentrated in the vicinity of the weak layer, while events in other areas are few and dispersed. For rock masses with weak layer dip angles of 0° and 15°, cracks occur in both soft and hard rocks, where shear cracks are dominant in soft rocks, tensile cracks are dominant in hard rocks, and finally, the rock mass mainly exhibits tensile splitting failure. For rock masses with weak layer dip angles of 30° and 45°, most of the cracks exist in the interior of the soft rock, which is dominated by shear cracks. With increasing graded loads, the shear cracks continue to develop along the direction of the weak layer, the upper rock mass keeps slipping and dislocating, and the final failure mode is mainly shear-slip failure. The damage evolution varies with the inclination angle of the weak layer, which can be divided into three stages: initial damage accumulation, damage acceleration, and damage destruction. This demonstrates the ability to predict, prevent, and control the occurrence of creep disasters in rock masses with weak layers. [ABSTRACT FROM AUTHOR]

Due to the excellent biocompatible physicochemical performance, luminogens with aggregation-induced emission (AIEgens) characteristics have played a significant role in biomedical fluorescence imaging recently. However, screening AIEgens for special applications takes a lot of time and efforts by using conventional chemical synthesis route. Fortunately, artificial intelligence techniques that could predict the properties of AIEgen molecules would be helpful and valuable for novel AIEgens design and synthesis. In this work, we applied machine learning (ML) techniques to screen AIEgens with expected excitation and emission wavelength for biomedical deep fluorescence imaging. First, a database of various AIEgens collected from the literature was established. Then, by extracting key features using molecular descriptors and training various state-of-the-art ML models, a multi-modal molecular descriptors strategy has been proposed to extract the structure-property relationships of AIEgens and predict molecular absorption and emission wavelength peaks. Compared to the first principles calculations, the proposed strategy provided greater accuracy at a lower computational cost. Finally, three newly predicted AIEgens with desired absorption and emission wavelength peaks were synthesized successfully and applied for cellular fluorescence imaging and deep penetration imaging. All the results were consistent successfully with our expectations, which demonstrated the above ML has a great potential for screening AIEgens with suitable wavelengths, which could boost the design and development of novel organic fluorescent materials. [ABSTRACT FROM AUTHOR]

Key message: A novel QTL (QSt.nftec-2BL) was mapped to a 0.7 cM interval on chromosome 2B. Plants carrying QSt.nftec-2BL produced higher grain yields by up to 21.4% than otherwise in salinized fields. Wheat yield has been limited by soil salinity in many wheat-growing areas globally. The wheat landrace Hongmangmai (HMM) possesses salt tolerance as it produced higher grain yields than other tested wheat varieties including Early Premium (EP) under salt stresses. To detect QTL underlying this tolerance, wheat cross EP × HMM was chosen to serve as mapping population that was homozygous at Ppd (photoperiod response gene), Rht (reduced plant height gene) and Vrn (vernalization gene); thus, interference with QTL detection by these loci could be minimized. QTL mapping was conducted firstly using 102 recombinant inbred lines (RILs) that were selected from the EP × HMM population (827 RILs) for similarity in grain yield under non-saline condition. Under salt stresses, however, the 102 RILs varied significantly in grain yield. These RILs were genotyped using a 90 K SNP (single nucleotide polymorphism) array; consequently, a QTL (QSt.nftec-2BL) was detected on chromosome 2B. Then, using 827 RILs and new simple sequence repeat (SSR) markers developed according to the reference sequence IWGSC RefSeq v1.0, location of QSt.nftec-2BL was refined to a 0.7 cM (6.9 Mb) interval flanked by SSR markers 2B-557.23 and 2B-564.09. Selection for QSt.nftec-2BL was performed based on the flanking markers using two bi-parental wheat populations. Trials for validating effectiveness of the selection were conducted in salinized fields in two geographical areas and two crop seasons, demonstrating that wheat plants with the salt-tolerant allele in homozygous status at QSt.nftec-2BL produced higher grain yields by up to 21.4% than otherwise. [ABSTRACT FROM AUTHOR]

Mechanical fault prediction is one of the main problems in condition-based maintenance, and its purpose is to predict the future working status of the machine based on the collected status information of the machine. However, on one hand, the model health indices based on the information collected by the sensors will directly affect the evaluation results of the system. On the other hand, because the model health index is a continuous time series, the effect of feature learning on continuous data also affects the results of fault prognosis. This paper makes full use of the autonomous information fusion capability of the stacked autoencoder and the strong feature learning capability of continuous deep belief networks for continuous data, and proposes a novel fault prognosis method. Firstly, a stacked autoencoder is used to construct the model health index through the feature learning and information fusion of the vibration signals collected by the sensors. To solve the local fluctuations in the health indices, the exponentially weighted moving average method is used to smooth the index data to reduce the impact of noise. Then, a continuous deep belief network is used to perform feature learning on the constructed health index to predict future performance changes in the model. Finally, a fault prognosis experiment based on bearing data was performed. The experimental results show that the method combines the advantages of stacked autoencoders and continuous deep belief networks, and has a lower prediction error than traditional intelligent fault prognosis methods. [ABSTRACT FROM AUTHOR]

The herbal pairing of Huangqi and Dangshen (HD) is traditional Chinese herbal medicine and has been widely used in China, especially to treat myasthenia gravis (MG). However, the mechanism of HD on MG is unclear. Aim of the Study. This study aims to investigate HD's possible role in MG treatment. Materials and Methods. The TCMSP database was used to identify the active chemicals and their targets. The GeneCards, DisGeNET, and OMIM databases were used to search for MG-related targets. The STRING database was employed in order to identify the common PPI network targets. We next utilised Cytoscape 3.8.2 for target identification and the DAVID database for gene ontology (GO) function analysis as well as Encyclopaedia of Genomes (KEGG) pathway enrichment analysis on the selected targets. The AutoDock Vina software was used to test the affinity of essential components with the hub gene before concluding that the primary targets were corrected through molecular docking. Results. 41 active compounds were screened from HD, and the number of putative-identified target genes screened from HD was 112. There were 21 target genes that overlapped with the targets of MG, which were postulated to be potential treatment targets. Through further analysis, the results showed that the active compounds from HD (such as 7-methoxy-2-methylisoflavone, quercetin, luteolin, Kaempferol, and isorhamnetin) may achieve the purpose of treating MG by acting on some core targets and related pathways (such as EGFR, FOS, ESR2, MYC, ESR1, CASP3, and IL-6). Molecular docking findings demonstrated that these active molecules have a near-perfect ability to attach to the primary targets. Conclusion. Through network pharmacology, the findings in this study provide light on the coordinated action of several HD formula components, targets, and pathways. It provided a theoretical basis for further study of HD pharmacological action. [ABSTRACT FROM AUTHOR]

In this study, dicyanoisophorone was used as NIR (near-infrared spectroscopy) emission fluorophore, and thiobenzoate as the recognition function motif to fabricate probe HgS. Through the Hg-S linker, the whole molecule's fluorescence was quenched due to the strong photoinduced electron transfer effect (PET). However, the Hg-S linker could be cut off upon the Hg2+ being added to the probe solution, leading to a strong fluorescence emission turned on by the intramolecular charge transfer effect (ICT). The probe HgS can respond to Hg2+ during the NIR emission spectral range and exhibits a significant Stokes shift (215 nm), excellent selectivity, and biocompatibility. Besides, the probe HgS can be used to monitor Hg2+ in bio-system and water samples. [ABSTRACT FROM AUTHOR]

Highlights: A new method is proposed to quantitatively assess the equilibrium between primary education facilities and primary students from the perspective of the living circle. The spatial equilibrium of primary education services across Zhangjiakou City was evaluated based on four living circle scenarios. We establish a site selection path to optimize the spatial equilibrium of primary education based on the living circle. Primary education services are a key component of public infrastructure. These services exert significant impacts on public activity, sustainability, and healthy socio-economic development. This research applies the concept of a 'living circle' in order to evaluate the spatial equilibrium of education services in existing primary schools. This has enabled equilibrium planning schemes to be proposed for primary schools as well as the promotion and construction of livable and defensible living spaces. This area remains a key issue, however, one that urgently needs to be addressed in terms of the layout of public infrastructural services to facilitate livable living space construction. Thus, from the perspective of livable and defensible living space construction, the aim of this study was to construct a primary education equalization assessment method based on the walking living circle method. An equilibrium index was also designed based on the number of primary school students; this was then combined with the standard construction of new primary schools to optimize the spatial equilibrium of these education services. The city of Zhangjiakou City was then used as a case study; the spatial equilibrium of primary education services was evaluated across four living circle scenarios (i.e., 15 min, 20 min, 25 min, and 30 min). Results reveal that the city of Zhangjiakou currently offers dramatically spatially negative non-equilibrium primary education services (i.e., supply < demand) across four living circle scenarios, but most notably in rural areas away from urban areas and towns, especially in the counties of Shangyi, Chicheng, Chongli, Kangbao, and Guyuan. It is interesting to note that all living circle scenarios could enable positive non-equilibrium primary education services (i.e., supply > demand), mainly within the urban districts of Qiaodong, Xuanhua, Qiaoxi, Wanquan, and Xiahuayuan. It is also clear that equilibrium living circles are distributed across all counties. A spatial optimization proposal for primary school services should therefore be presented that alleviates the issues inherent to non-equilibrium primary education services. The results of this study offer a number of suggestions for education service optimization across the city of Zhangjiakou as well as for other cities in China. We also provide further scientific foundations for research on livable space and defensible unit construction as well as the spatial equilibrium evaluation of other public infrastructural service facilities [ABSTRACT FROM AUTHOR]

Myasthenia gravis (MG) is a rare and refractory autoimmune disease, and Qi Shen Di Huang (QSDH) drug formulary is an in-hospital herbal decoction with proven clinical efficacy in treating MG. Currently, most of the research on the QSDH drug formulary has concentrated on its clinical efficacy, and there is a lack of systematic study on the material basis. The active compounds and their mechanism of action have not been entirely determined. Therefore, this study sought to identify the active compounds in the QSDH drug formulary and analyze the key targets and potential mechanisms. We used ultra-performance liquid chromatography Q Exactive-mass spectrometry (UHPLC-QE-MS) and Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP) database to identify and screen 85 active ingredients corresponding to 59 potential targets (17 herbs) associated with myasthenia gravis, and further identified AKT1 as the primary core target and the PI3K/AKT signaling pathway as the most substantial enriched pathway. Molecular docking and UPLC-MS analysis identified quercetin, luteolin, wogonin, kaempferol, laccasein, and epigallocatechin gallate are the core compounds of the QSDH drug formulary. In vivo rat studies showed that the QSDH drug formulary reduced Lennon's clinical score and decreased acetylcholine receptor antibody levels in peripheral blood rats with experimental autoimmune myasthenia gravis. In addition, the QSDH drug formulary downregulated P-PI3K/PI3K and P-Akt/Akt protein expression. Collectively, these findings describe the role and potential mechanism of the QSDH drug formulary in the treatment of MG, which exerts potential value by acting on AKT targets and regulating the PI3K/AKT signaling pathway and providing a theoretical reference for QSDH drug formulary application in the clinical treatment of MG. [ABSTRACT FROM AUTHOR]

Design of nucleic acid-based viral diagnostics typically follows heuristic rules and, to contend with viral variation, focuses on a genome's conserved regions. A design process could, instead, directly optimize diagnostic effectiveness using a learned model of sensitivity for targets and their variants. Toward that goal, we screen 19,209 diagnostic–target pairs, concentrated on CRISPR-based diagnostics, and train a deep neural network to accurately predict diagnostic readout. We join this model with combinatorial optimization to maximize sensitivity over the full spectrum of a virus's genomic variation. We introduce Activity-informed Design with All-inclusive Patrolling of Targets (ADAPT), a system for automated design, and use it to design diagnostics for 1,933 vertebrate-infecting viral species within 2 hours for most species and within 24 hours for all but three. We experimentally show that ADAPT's designs are sensitive and specific to the lineage level and permit lower limits of detection, across a virus's variation, than the outputs of standard design techniques. Our strategy could facilitate a proactive resource of assays for detecting pathogens. Viral diagnostics with maximum sensitivity are designed using machine learning and combinatorial optimization. [ABSTRACT FROM AUTHOR]

Background: Long-term inhalation of cigarette smoke is considered to be one of the main causes of bronchial epithelioid cell damage, but its underlying mechanism has to be further clarified. Methods: Gene expression at mRNA level and protein levels were detected by qRT-PCR and western blot analysis respectively. CCK-8, TUNEL assays, ELISA, western blot analysis and commercial kits were utilized to test cell viability, apoptosis inflammatory response and oxidative stress. The correlation between fatty acid binding protein 4 (FABP4) and the p38 mitogen-activated protein kinase (MAPK)/MAPK activated kinase 2 (MK2) signaling pathway was verified by western blot analysis and rescue assays. Results: Cigarette smoke extract (CSE) exposure decreased viability, induced apoptosis and inflammatory response in 16HBE cells. Moreover, the expression of FABP4 in CSE-treated 16HBE cells was up-regulated in a time and dose-dependent manner. Ablation of FABP4 in 16HBE cells significantly protected against CSE-mediated cell viability decline and apoptosis. Further, FABP4 knockdown suppressed inflammatory response by down-regulating the elevated levels of cellular inflammatory factors including TNF-α, IL-1β, IL-6, Cyclooxygenase-2 (Cox-2) and inducible nitric oxide synthase (iNOS) in CSE-treated 16HBE cells. The oxidative stress induced by CSE in 16HBE cells was also inhibited by FABP4 silence as evidence by reduced ROS and MDA level but increased SOD activity caused by FABP4 silence. Finally, all the above effects of FABP4 silence on CSE-treated 16HBE cells were reversed by asiatic acid, an agonist of p38 mitogen-activated protein kinase (MAPK). Conclusions: The up-regulation of FABP4 expression mediated by CSE exerted pro-inflammatory, pro-oxidative stress and pro-apoptotic effects on bronchial epithelial cells by activating the p38 MAPK/MK2 signaling pathway. Our findings help to further understand the underlying mechanism of cigarette smoke-induced bronchial inflammation. [ABSTRACT FROM AUTHOR]

Objective: In this study, we assessed the correlation between the lactate dehydrogenase (LDH) to phosphate ratio and the prognosis of microsurgical clippings for ruptured intracranial aneurysm (rIA) to test the hypothesis that the serum LDH to phosphate ratio could be a predictor of the outcome of microsurgical clipping for rIA. Methods: Records of rIA patients between 2012 and 2018 were retrospectively collected. Age, sex, Hunt-Hess grade, Fisher grade, medical history, aneurysm location, hydrocephalus, laboratory data including serum LDH, phosphate, and LDH to phosphate ratio, related complications, and the outcomes in 3 months were recorded. Results: A total of 1608 rIA patients in our institution were collected, and 856 patients treated by microsurgical clipping were enrolled. On admission, a significantly higher LDH-phosphate ratio was observed in patients with poor outcomes at 3 months (median ± SD, 200.175 ± 107.290 for mRS 0–2 vs. 323.826 ± 219.075 for mRS score 3–6; p = 0.000). An LDH to phosphate ratio of 226.25 in the receiver operating characteristic (ROC) curve was the optimal cutoff value to discriminate between good and poor outcomes at 3 months. The LDH to phosphate ratio ≥ 226.25 on admission was independently correlated with poor outcomes in rIA patients. In addition, Hunt and Hess grade, Fisher grade, pneumonia, and DIND were also independently correlated with poor outcomes. After removing the bias in essential clinical variables between patients with LDH to phosphate, ratio ≥ 226.25 versus <226.25 by PSM, the number of patients with poor outcomes at 3 months increased in patients with an LDH to phosphate ratio of ≥226.25 (p = 0.005). Conclusions: The LDH to phosphate ratio was a potential biomarker and could predict the unfavorable outcome of microsurgical clipping for rIA in 3 months, related to neuronal damage, cerebral hypoxia, and early brain injury after aneurysm ruptures. [ABSTRACT FROM AUTHOR]

In transportation, LiDAR has been primarily used in autonomous vehicles to assist self-driving until recently when people realized it could also be installed at the roadside to support connected vehicles and infrastructure systems. Unlike onboard LiDAR sensors used in autonomous vehicles, roadside applications must perform complete background filtering and clustering as well as tracking real-time traffic movements within the detection zone. This paper presents an unsupervised clustering method for roadside or infrastructure-based LiDAR applications. It first converts 3D LiDAR data points into 2D so that only target points (after background filtering) will be saved in the channel-azimuth 2D structure; then, a method combining the region growing algorithm and counted component labeling is used to perform clustering. Lastly, a merging process is conducted to enhance the connected component labeling method for better outcomes. Experimental studies demonstrate that the proposed method could reach 0.011s per frame (10 Hz sensor rotation frequency) in clustering while maintaining high accuracy. [ABSTRACT FROM AUTHOR]

This study proposes a short-term traffic flow prediction framework. The vector autoregression (VAR) model based on econometric theory and the CNN-LSTM hybrid neural network model based on deep learning are employed in the analysis. An intrinsic association among traffic variables is first evaluated using the VAR model, and the predictable relationship of these variables is determined. Then the multi-features speed prediction for one spatial location using the CNN-LSTM hybrid neural network model is conducted, the prediction results prove that prediction with multi-feature is better than that with a single feature. Subsequently, several popular deep learning models and other shallow predicted models are proposed to be compared with the constructed CNN-LSTM network model, and the comparison illustrates that the model performance of the developed CNN-LSTM network model is superior to other models in forecasting the short-term traffic flow. Then the multi-feature speed predictions for a group of spatial locations are further conducted using the CNN-LSTM model. The result demonstrates the predictive accuracies are associated with the spatial correlation of traffic flow. Finally, a heatmap is produced to visualize the predicted speed, from which the spatial-temporal traffic condition can be presented clearly. The research results have the potential to be applied to the travel information releasing and traffic congestion management. [ABSTRACT FROM AUTHOR]

Background: Hyaluronic acid (HA) fillers have become the most popular dermal fillers for esthetic nasolabial folds (NLFs) correction. Based on the cross-linking method, they can be classified as monophasic or biphasic types. Objectives: The aim of this meta-analysis is to compare the efficacy and safety of monophasic HA fillers with that of biphasic HA fillers for treatment of NLFs. PubMed, Embase, Cochrane Library, Web of Science, ClinicalTrials.gov, and Chinese databases were searched from inception to January 2021. Methods: Randomized controlled trials (RCTs) that compared treatment outcomes of a monophasic HA filler with a biphasic HA filler for esthetic NLF correction were selected. Twenty-two RCTs with totally 1848 subjects were included to this meta-analysis. A significantly higher improvement of NLF severity score was seen for monophasic fillers than biphasic fillers at 2 (p = 0.005), 8 (p <0.0001), 12 (p = 0.03), 16 (p = 0.005), 24 (p <0.00001), 36 (p = 0.007), and 52 week (p <0.0001) after treatment. Results: The effect was retained regardless of ethnicity, total injection volume, and baseline NLF severity. More subjects preferred monophasic fillers over biphasic ones (≤7 months: RR = 3.45, 95% CI 1.17 to 10.11; >7 months: RR = 2.37, 95% CI 1.45 to 3.86). Rate of post-injection pain was significantly lower for monophasic fillers (RR = 0.85, 95% CI 0.78 to 0.92, p <0.0001), but no statistical difference was observed for other post-injection adverse events. Compared to biphasic HA fillers, monophasic HA fillers were associated with a greater and more durable esthetic NLFs improvement, a lower rate of post-injection pain, and were favored by more patients. Level of Evidence II: This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266. [ABSTRACT FROM AUTHOR]

In the Original publication of the article the revised date was erroneously published as: 20 August 2017 the correct date is: 20 August 2020. [ABSTRACT FROM AUTHOR]

Purpose: To explore the value of partial pressure of carbon dioxide (PaCO2) levels in arterial blood for predicting immediate seizures (ISs) in patients with primary intracerebral hemorrhage (ICH). Methods: Demographic information and clinical data from patients with primary ICH were prospectively collected, including arterial blood gas analysis. Immediate seizures (ISs) were determined as seizures in the first 24 h after admission. Univariate and multivariate analyses were performed to assess the association of PaCO2 levels with ISs. Propensity-score matching (PSM) analyses were adopted to reduce the baseline difference between ISs and non-ISs groups. Results: A total of 596 patients with primary ICH were initially screened in this clinical study, 368 of whom fulfilled all the inclusion criteria [mean age, (60.46 ±12.78) years; 57.9% female patients]. ISs occurred in 30 of the 368 (8.15%) patients with primary ICH of this cohort. Patients with ISs had significantly lower PaCO2 levels [34.35(32.38–37.53) vs. 39.45(35.90–43.43), mmHg, p < 0.001] and were younger than those without ISs [(54.57±12.15 vs. 60.99 ±12.72) years, p = 0.008]. Multivariate analysis showed that lower initial PaCO2 (≤37.2 mmHg) level was a significant independent predictor of ISs [odds ratios (OR) 0.141, 95% confidence interval (CI) 0.057–0.351, p < 0.001], as well as younger age (OR 0.961, 95% CI 0.928–0.995, p = 0.023) and hematoma expansion (OR 0.340, 95% CI 0.134–0.863, p = 0.023). Receiver operating characteristic curve (ROC) analysis demonstrated that the optimal cutoff value of PaCO2 level for predicting ISs was 37.20 mmHg in patients with primary ICH (the area under the curve (AUC) was 0.760 with a corresponding sensitivity of 76.67% and specificity of 67.46%, 95%CI = 0.713–0.802, p < 0.001). After PSM, the matched ISs group had significantly lower PaCO2 levels compared with the matched non-ISs group [34.45(32.43–38.18) vs. 41.75(35.85–43.98) mmHg, p < 0.05] in the univariate analysis. The lower initial PaCO2 level was still independent of ISs following primary ICH. Conclusions: The lower initial PaCO2 level was associated with an increased risk of ISs in patients with primary ICH. [ABSTRACT FROM AUTHOR]

The laser-induced damage (LID) response of multilayer dielectric gratings (MDGs) to transverse magnetic (TM) and transverse electric polarization was investigated based on polarized-independent MDGs. It was found that TM-polarized MDGs have the superiority of a high LID threshold, low sensitivity to laser excitation strength, low response to damaged structure, and reduced LID growth speed and dynamics. These results provide a strong motive to preferentially develop and mount TM-polarized MDGs in the next generation of high-intensity picosecond-petawatt laser systems. [ABSTRACT FROM AUTHOR]

Electrochemical oxidation of 5-hydroxymethylfurfural (HMF) into 2,5-furandicarboxylic acid (FDCA) is a highly promising strategy for producing biomass-based valuable chemicals. Exploration of robust and cost-effective electrocatalysts for HMF oxidation is of significant importance. Here, we proposed a facile and controllable strategy for the preparation of carbon-based heterostructures by direct pyrolysis of rationally designed precursor deep eutectic solvents. The as-prepared Co9S8–Ni3S2@N,S,O-tri-doped carbon (NSOC) heterostructures exhibit an excellent HMF electrooxidation performance with a conversion of nearly 100%, a Faraday efficiency of 98.6% and a selectivity of 98.8% owing to the unique hollow structure and ternary heterogeneous interface. X-ray photoelectron spectroscopy analysis and theoretical calculations confirm the electron transfer from Ni3S2 to NSOC and Co9S8 at the heterogeneous interfaces, where hole accumulation on Ni3S2 is beneficial for optimizing the HMF electrooxidation reaction (HMF EOR). [ABSTRACT FROM AUTHOR]

To study the influence of weak interlayers on the creep failure characteristics of rock masses, based on the continuous-discontinuous method (CDEM), the uniaxial compression creep experiments of rock masses containing weak layers were numerically simulated; and the weakened rock masses under different conditions were analyzed in detail. We focused on the final failure mode and creep curve of the rock mass with a weak interlayer (θ = 30°, d = 20 mm, c = 1) as examples by selecting the crack distribution state of the model during compression at different time steps. We analyzed the propagation and convergence mode of cracks in a rock mass with weak layers. The research results show that the existence of weak interlayers affects the integrity of the rock mass and the creep failure mode. With the increase in the inclination of the weak interlayer, the failure mode of the rock mass changes from shear failure through the weak layer to slip along the weak layer. For shear failure, the total strain and steady-state creep rate of the rock mass first decrease and then increase, showing a U-shaped distribution; as the thickness of the weak interlayer increases, the rock mass always follows the shear in the weak layer. Creep failure occurs on the fracture surface, and the total strain and steady-state creep rate of the rock mass are positively correlated with the thickness. If the thickness continues to increase, there is no significant difference in the creep characteristics of the rock mass; the volume occupied by the soft rock in the body increases, the overall rigidity of the rock mass decreases, and the plastic deformation increases. The form of creep failure of the rock mass changes from sliding shear failure along the weak layer to sliding shear failure through the weak interlayer. The total strain and steady-state creep rate of the rock mass increase with the increase in the number of weak layers; the greater the distance between the weak layers, the smaller the total strain and steady-state creep rate of the rock mass. The slower the crack growth rate, the less likely the rock mass to undergo creep damage. [ABSTRACT FROM AUTHOR]

Although there have been tremendous improvements in fabricating metal nanoparticle-functionalized two-dimensional (2D) heterogeneous materials, an effective strategy for loading ultrafine-sized metal nanoparticles with high catalytic performance and stability remains a challenge. Covalent organic frameworks (COFs) are a promising candidate template for the synthesis of decentralized metal nanomaterials with ultrafine diameters. In this study, an in situ grown nanocomposite (CNT-COF) of a COF on a carbon nanotube (CNT) has been prepared and applied in the synthesis of Pd nanoparticles with a narrow size distribution (denoted as CNT-COF-Pd). The 2D heterogeneous nanomaterial CNT-COF-Pd shows strong catalytic performance toward the ethanol oxidation reaction (EOR) in direct-ethanol fuel cells (DEFCs). The superior catalytic activity can be attributed to the strong coordination effect between the N atoms inside the cavities of the COF and Pd and the special electrical property of the CNT. We anticipate that such COF-supported ultrafine Pd nanoparticles will be a new 2D heterogeneous catalyst in DEFCs and other fields. [ABSTRACT FROM AUTHOR]

Introduction: The relationship between serum phosphate ion (sPi) and the occurrence of acute hydrocephalus (aHCP) in aneurysmal subarachnoid hemorrhage (aSAH) remains largely unknown and controversial. The primary aim of this study was to investigate the association between sPi on admission and aHCP following aSAH. Methods: The study included 635 patients over the age of 19 years diagnosed with aSAH in our institution from September 2012 to June 2018. Data on clinical characteristics, laboratory parameters, treatments, and outcomes were collected and analyzed. The association between lower sPi levels and aHCP was assessed in univariate and multivariate analyses. Propensity-score matching (PSM) analysis was performed to reduce significant differences in baseline characteristics between the aHCP group and non-HCP group. Results: The overall incidence of aHCP following aSAH was 19.37% (123/512). Lower sPi levels were detected in patients with aHCP compared with those without [0.86 (0.67–1.06) vs. 1.04 (0.84–1.21) mmol/L] in the univariate analysis. In the multivariate analysis, lower sPi level, high modified Fisher (mFisher) grade, and high Hunt-Hess grade were associated with aHCP [odds ratios (OR) 1.729, 95% confidence interval (CI) 1.139–2.623, p = 0.01; mFisher OR 0.097,95% CI 0.055–0.172, p < 0.001; Hunt-Hess, OR 0.555, 95% CI 0.320–0.961, P = 0.036]. After PSM, the matched aHCP group had a significantly lower sPi level than the matched non-aHCP group [0.86 (0.67–1.06) vs. 0.94 (0.76–1.12) mmol/L, p = 0.044]. The area under the curve (AUC) of the sPi level and the logistic regression model based on these predictors (sPi, Hunt-Hess grade, and mFisher grade) was 0.667 and 0.840 (sensitivity of 88.6% and specificity of 68.4%) for predicting aHCP, respectively. Conclusions: Lower sPi levels predict the occurrence of aHCP, and the model constructed by sPi levels, Hunt-Hess grade, and mFisher grade markedly enhances the prediction of aHCP after aSAH. [ABSTRACT FROM AUTHOR]

Product-safety incidents and recalls such as automobile recalls by Toyota and a recall of sausages by Shuanghui have raised many quality management challenges and attracted increasing attention from practitioners and academics researchers in recent years. Traditional quality management and quality function development can no longer effectively address these problems, with competition moving from the firm level to the supply chain level. In this study, a holistic supply chain quality management framework on the relationship between supply chain quality system integration, supply chain relationship quality, and quality performance is proposed to improve quality management and mitigate the risk of product recalls. Then a structural equation model is used to analyze these relationships. To test this model empirically, we use survey data from manufacturers in consumer electronics, food, automobiles, pharmaceuticals, and toys in China. Our results show that supply chain quality management can help companies achieve high quality. Further, quality system integration and relationship quality have significant impacts on the quality of design and of conformance and are positively related to supply chain quality performance. [ABSTRACT FROM AUTHOR]

A van der Waals (vdW) magnetic tunnel junction (MTJ) comprising different two-dimensional (2D) layered materials can be used in the field of spintronics owing to its significant tunneling magnetoresistance (TMR) and spin filtering effect (SFE). In light of the elemental compatibility with the existing Si/Ge based electronic components, we designed silicane and germanane based vdW-MTJs that comprise an insulator barrier sandwiched between two half-metallic Li-adsorbed chromium triiodide (Li0.5CrI3) electrodes. We investigated the magnetic anisotropy energy (MAE), SFE and TMR of these junctions by using the density functional theory combined with the non-equilibrium Green's function method. Large MAEs of up to 10 meV per unit cell and high Curie temperatures of up to 130 K were observed for Li0.5CrI3‖Si/Ge‖Li0.5CrI3 tunnel junctions, demonstrating their robust magnetic ability against thermal fluctuations. It was observed that these two MTJs not only exhibit high TMR ratios (over 2000%) but also possess a perfect SFE (almost 100%). Moreover, an obvious negative differential resistance was observed in our systems. The transport phenomena were explained using the spin-dependent transmission coefficients at different voltages. Our results suggest that the vdW MTJs formed by the silicane/germanane barrier and Li0.5CrI3 electrodes hold promising potential for future spintronic applications, such as in read heads and spin valves. [ABSTRACT FROM AUTHOR]

Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease involving progressive degeneration of upper and lower motor neurons. The pattern of lower motor neuron loss along the spinal cord follows the pattern of deposition of phosphorylated TDP-43 aggregates. The blood-spinal cord barrier (BSCB) restricts entry into the spinal cord parenchyma of blood components that can promote motor neuron degeneration, but in ALS there is evidence for barrier breakdown. Here we sought to quantify BSCB breakdown along the spinal cord axis, to determine whether BSCB breakdown displays the same patterning as motor neuron loss and TDP-43 proteinopathy. Cerebrospinal fluid hemoglobin was measured in living ALS patients (n = 87 control, n = 236 ALS) as a potential biomarker of BSCB and blood–brain barrier leakage. Cervical, thoracic, and lumbar post-mortem spinal cord tissue (n = 5 control, n = 13 ALS) were then immunolabelled and semi-automated imaging and analysis performed to quantify hemoglobin leakage, lower motor neuron loss, and phosphorylated TDP-43 inclusion load. Hemoglobin leakage was observed along the whole ALS spinal cord axis and was most severe in the dorsal gray and white matter in the thoracic spinal cord. In contrast, motor neuron loss and TDP-43 proteinopathy were seen at all three levels of the ALS spinal cord, with most abundant TDP-43 deposition in the anterior gray matter of the cervical and lumbar cord. Our data show that leakage of the BSCB occurs during life, but at end-stage disease the regions with most severe BSCB damage are not those where TDP-43 accumulation is most abundant. This suggests BSCB leakage and TDP-43 pathology are independent pathologies in ALS. [ABSTRACT FROM AUTHOR]