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How to improve carbon emission efficiency (CEE) to achieve sustainable economic development has triggered contemplation among society and policy-makers. Previous studies have confirmed that e-commerce development can reduce local carbon emissions, but the impact of e-commerce development on CEE is unclear. This paper investigates the impact of e-commerce development on CEE and its spatial spillover effect using Chinese city-level panel data, taking the National E-commerce Demonstration City (NEDC) policy as a quasi-natural experiment. Results show that the NEDC policy significantly improves local CEE by promoting industrial structure upgrading, green technology innovation, and improving energy efficiency. The influence is more pronounced in regions with inadequate information infrastructure, unfavorable business environment, and limited marketization. However, the NEDC policy has a negative spatial spillover effect, reducing surrounding cities’ CEE. The findings unveil the complicated impact of e-commerce development on CEE and offer policy implications for improving inter-regional carbon reduction synergy and low-carbon economic transformation.

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To address the problem where the different operating conditions of hydropower units have a large influence on the parameters of the trend prediction model of the operating condition indicators, a support vector regression machine prediction model based on parameter adaptation is proposed in this paper. First, the Aquila optimizer (AO) is improved, and a sine chaotic map is introduced to influence the population initialization process. An improved adaptive weight factor is used to balance the local search and global search capabilities. Second, according to the power and the head, the operating conditions of the unit are refined into several typical sets of operating conditions. On this basis, an SVR model is established using the improved AO search algorithm proposed in this paper, and the prediction parameters under each of the operating condition are optimized to establish the data of the operating conditions and optimal parameters. Then a neural network is used to fit the working condition and the optimal prediction parameters. In addition, the nonlinear function mapping of the complex relationship between the two is constructed. Finally, the constructed mapping relationship is added to the traditional SVR, and an adaptive SVR prediction model suitable for changes in the working conditions of hydropower units is realized. Simulation results show that when compared to the traditional SVR prediction model, the adaptive SVR prediction model designed in this paper can automatically adjust the prediction parameters according to changes in the working conditions and achieve the goal of maintaining optimal prediction performance under different working conditions. In addition, it has the ability to accurately predict the development trend of the unit operating state index within a certain time scale.

Time series modeling has attracted great research interests in the last decades. Among the literature, shapelet-based models aim to extract representative subsequences, and could offer explanatory insights in the downstream tasks. But most of those works ignore the seasonal effects on the subsequences, as well as the evolutionary characteristics of shapelets. In order to capture the shapelet dynamics and evolutions, in this paper, we propose a novel framework of bridging time series representation learning and graph modeling, with two different implementations. We first formulate the process of extracting time-aware shapelets by directly adding time-level attentions, then introduce the key idea of transforming time series data into shapelet evolution graphs, to model the shapelet evolutionary patterns. A straightforward solution is to enumerate all possible shapelet transitions among adjacent time series segments, and apply a random-walk-based graph embedding algorithm to learn time series representations (Time2Graph). We further extend Time2Graph by adopting graph attention mechanism to refine the procedure of modeling shapelet evolutions, namely Time2Graph+. Specifically, we transform each time series data into a unique unweighted shapelet graph, and use GAT to automatically capture the correlations between shapelets. Experimental results on three real-world datasets show the significant improvements of Time2Graph+ over Time2Graph and 17 baseline methods, and observational analysis demonstrates the effectiveness and interpretability brought by both time-level and graph-level attentions. Furthermore, the success of online deployment of Time2Graph+ model in State Grid of China validates the whole framework in the real-world application. Codes and documentations are available at https://github.com/petecheng/Time2GraphPlus.

ABSTRACTProbing children’s understanding of science concepts has been a focus of research in science education since the 1980s. In the process of learning, learners often produce many conceptions that differ from established scientific knowledge, which are commonly labelled as alternative conceptions (ACs). Knowing these ACs, their prevalence, nature, strength, causes and its dynamic change in the learning process is very important for the formation of scientific conceptions. In order to better identify middle school students' ACs at different times in mainland china and analyse the differences between these ACs, taking the concept of ‘the human blood circulatory system’ as an example, this study constructed and validated two sets of Four-Tier Multiple-Choice tests (4TMC), and applied them to explore 501 seventh graders after they had learned the concept. The results show that the 4TMC can effectively explore not only the individual ACs but also the group ACs. In the first test, 1 week after learning human blood circulatory system, six ACs have been identified in this group. There are five ACs in the second test 6 months after learning this knowledge. Meanwhile, there is a significant difference between these ACs at different times. This research can provide examples for exploring students’ ACs.

Internet of vehicles (IoV) enables a large number of applications for consumers by integrating massive electronics, which aggravates the spectrum scarcity and data security, and degrades the quality of services (QoS) and experiences of consumers obviously. Focusing on enhancing the security and improving spectrum utilization, this article proposes a contract-theory-based secure spectrum sharing framework, which adopts the consortium blockchain to guarantee security of spectrum sharing and utilizes the practical Byzantine fault tolerant consensus algorithm to achieve consensus in IoV. Smart contracts are then formed based on insurance contracts to promote primary users to share their idle spectrum resources. A preference-based spectrum allocation algorithm is designed to maximize the total utility of secondary users (SUs). Simulation results show that, compared with the existing schemes, the proposed scheme achieves better performance in terms of the utility of SUs and the spectrum utilization greatly, which provides more access opportunities to consumers in IoV.

Post‐collisional potassic‐ultrapotassic rocks can provide key clues to the change of the recycled material type and/or tectonic transition in subduction‐related zones. Despite continental materials widely recognized in their sources, it remains unclear whether such continental materials were contributed by former oceanic subduction or recent continental subduction. Here we address this issue by systematically investigating previously reported and our new chemical and Sr–Nd–Pb isotopic compositions of the post‐collisional K‐rich rocks in Southeast Tibet. Kink‐like compositional variations provide solid evidence for a primary control of fractional crystallization on the evolution of these K‐rich magmas. Their primary melts are demonstrated to have been produced by partial melting of phlogopite‐bearing peridotites in subcontinental lithospheric mantle (SCLM). The trace element and Sr–Nd–Pb isotopic signatures argue against involvement of the deeply subducted Indian continent but suggest a great contribution from sediments in oceanic slabs. A thinned (∼70–100 km) and hot (∼55–70 mW/m2) lithosphere is also unraveled beneath Southeast Tibet during the potassic‐ultrapotassic magmatism. Together with geophysical data, here we suggest a two‐stage geodynamic model for post‐collisional potassic‐ultrapotassic magmatism in Southeast Tibet: (a) Before the Indian‐Asia continental collision, phlogopite/K‐richterite‐bearing SCLM sources were formed through oceanic subduction‐related metasomatism; (b) After the Indian‐Asia continental collision, asthenosphere upwelling induced by post‐collisional tectonic extension or deep subduction of the Indian continental slab caused lithospheric thinning, partial melting of pre‐existing phlogopite/K‐richterite‐rich SCLM and thus K‐rich magmatism. This study provides new insights into the role of oceanic subduction and continental collision in post‐collisional potassic‐ultrapotassic magmatism. Potassic‐ultrapotassic rocks, a special group of K‐rich igneous rocks with K2O > 3.0 wt.% and K2O/Na2O > 1, have been widely recognized in post‐collisional settings. A large part of them also has low SiO2(<56 wt.%), high MgO (>6.0 wt.%) and Mg# (>0.65; molar Mg/(Mg + Fe)), suggesting derivation from the mantle depths. Post‐collisional K‐rich rocks are widely distributed within the Himalaya‐Tibet Orogen. Over the last decades, numerous studies have focused on these K‐rich rocks because of their potentially great importance for understanding plateau uplift, continental subduction and Cu‐Mo‐Au mineralization. Although there is an increasingly clear consensus on the relevance of the deeply subducted Indian continent in the formation of the post‐collisional (<25 Ma) K‐rich rocks in Southwest Tibet, there remain considerable uncertainties about the mechanism of the potassic‐ultrapotassic magmatism in Southeast Tibet. Based on the systematic investigation of previously reported and our new chemical and Sr‐Nd‐Pb isotopic data of the post‐collisional K‐rich rocks in Southeast Tibet, here we unravel phlogopite‐bearing peridotite lithospheric mantle sources for these K‐rich rocks. This study highlights that the potassic‐ultrapotassic magmatism in Southeast Tibet was a combined result of pre‐collisional oceanic subduction‐related metasomatism and post‐collisional lithospheric thinning, a mechanism distinct from that in Southwest Tibet. A primary control of fractional crystallization on magmatic evolution of post‐collisional potassic‐ultrapotassic rocks in Southeast TibetSubducting sediments within oceanic slabs rather than the deeply subducted Indian continent provided K‐rich materials in the sourcesA critical role of post‐collisional lithospheric thinning in the post‐collisional potassic‐ultrapotassic magmatism in Southeast Tibet A primary control of fractional crystallization on magmatic evolution of post‐collisional potassic‐ultrapotassic rocks in Southeast Tibet Subducting sediments within oceanic slabs rather than the deeply subducted Indian continent provided K‐rich materials in the sources A critical role of post‐collisional lithospheric thinning in the post‐collisional potassic‐ultrapotassic magmatism in Southeast Tibet

ABSTRACTThe timely and accurate assessment of flooding disasters and economic resilience is significant for post-disaster reconstruction and recovery. In July 2021, the National Polar-orbiting Partnership Visible Infrared Imaging Radiometer Suite (NPP-VIIRS) Day/Night Band (DNB) daily data were explored as a proxy to assess the flooding damage caused by heavy rainfall in Zhengzhou City, China. A combination of the night-time light (NTL) changes and the radiation normalization method was used to rapidly identify affected areas and extract populations following the flooding disaster. A daily gross domestic product (GDP) prediction model was developed to evaluate the economic resilience of Zhengzhou City using multi-temporal DNB daily and monthly NTL data. The severity of the disaster was estimated by the extent of power outages, flooding crisis regions, and affected populations. It has been predicted that the Zhengzhou economy is unlikely to be restored to its normal level before the end of 2021 owing to the dual impact of the coronavirus outbreak and flooding disaster; the revised recovery-time prediction is late April 2022. We concluded that our NTL data provided new, simple, and effective insights into the post-flooding assessment of the affected areas, populations, GDP forecast, and economic recovery.

•Changes of wind erosion prevention service and their beneficial areas were compared.•Total amount of wind erosion prevention materials in 2018 was higher than that in 2008.•High-frequency benefit areas mainly included Inner Mongolia, Ningxia, Shaanxi, Shanxi.•Dust reduction amount of Inner Mongolia Autonomous Region was the most.•Shanxi had the most significant benefit, more than 85% of the province's total benefit .

The effects of different Fe and Si additions on the microstructure and mechanical properties of as-cast Al–5Cu alloys were studied. The results show that the evolution order of the Fe-rich intermetallic morphology is needle-like β-Fe then Chinese-script Fe-rich intermetallic, and the area size of Chinese-script Fe-rich intermetallic increased from 66 to 1058 μm2with the increase of Fe addition. It was found that the combined additions of Fe and Si can change the morphology and size of Fe-rich intermetallic, and thus improving mechanical properties. However, the excessive Si addition would cause Si particles to precipitate, and the morphology of Fe-rich intermetallic had a tendency to needled-like. The alloy's solidification path of second phases is α-Fe + AlmFe→β-Fe→binary eutectic (Al2Cu + Si) in Al–5Cu–XSi–XFe alloys.

The effects of different Fe and Si additions on the microstructure and mechanical properties of as-cast Al–5Cu alloys were studied. The results show that the evolution order of the Fe-rich intermetallic morphology is needle-like ß-Fe then Chinese-script Fe-rich intermetallic, and the area size of Chinese-script Fe-rich intermetallic increased from 66 to 1058?µm2with the increase of Fe addition. It was found that the combined additions of Fe and Si can change the morphology and size of Fe-rich intermetallic, and thus improving mechanical properties. However, the excessive Si addition would cause Si particles to precipitate, and the morphology of Fe-rich intermetallic had a tendency to needled-like. The alloy's solidification path of second phases is a-Fe?+?AlmFe?ß-Fe?binary eutectic (Al2Cu?+?Si) in Al–5Cu–XSi–XFe alloys.

Background: Various training models have been developed for laparoscopic training. Inanimate models including cadavers, ex-vivo simulator, and virtual reality (VR), are less realistic and often fail to display specific events such as bleeding, bile leakage, etc. Animal models provide more realistic experience, but constraints like cost involved, anesthetic requirement, and ethical approval have limited its application. We have designed a new training ex-vivo simulator—Smagister to address these issues. Methods: The Smagister consists of a normothermic machine perfusion platform, multivisceral organ of porcine abdominal cavity (liver, gallbladder, pancreas, stomach, intestine, kidney, uterus, bladders, etc.), high-definition display, and software system. Blood gas analysis and number of peristalsis per hour were recorded. A questionnaire was used to subjectively assess vitality of the organ cluster every hour. Three laparoscopic procedures including cholecystectomy (LC), enterotomy closure (LEC) and hepatectomy (LLR) were performed on Smagister, with demonstration of specific events for each procedure. Six experts compared the procedures with actual surgery in terms of feasibility to complete procedures and demonstration of complications. Results: The fluctuation of perfusate glucose (6.1–8.2 mmol/L) and lactate (5.82–6.55 mmol/L) suggested metabolic function of the multivisceral organs. The mean number of peristalsis was 2.2/min. The simulated surgical view and anatomic structures closely resembled actual surgery during continuous perfusion (3.5?±?1.0, 3.8?±?0.8, respectively). The evaluation scores of haptic feedbacks were 3.8?±?0.8, resembling live tissue handling. LC, LEC, and LLR were performed well on the Smagister, with clear display of the specific events. All six experts considered Smagister as a suitable training modality for both basic and advanced laparoscopic surgery. Conclusion: The amalgamation of live animal model and ex-vivo simulation in Smagister centralizes the virtue of both modalities, expands the training field, and provides high-fidelity laparoscopic training for both novice and senior surgeons.

The information of the association between residual alveolar bone height and mucosal thickening is sparse. This study aimed to explore the effect of maxillary molar periodontal status on sinus mucosal thickening using cone‐beam computed tomography (CBCT). One hundred ninety‐four CBCT images were evaluated for the following parameters: age, sex, alveolar bone loss, maximum mucosal thickness (maxMT), minimum residual alveolar bone height (minRABH), and vertical infrabony pockets. The presence of mucosal thickening (maxMT > 2 mm) of the maxillary sinus was recorded. The parameters that could influence the dimensions of the maxillary sinus membrane were assessed. The data were analyzed using logistic regression, and multivariate linear regression with the significant level at α = 0.05. Mucosal thickening was present in 32% of the analyzed CBCT images and increased in frequency as the periodontal status of the corresponding molar progressed from mild (2.6%) to moderate (14.9%) to severe (75.5%). Mucosal thickness was significantly increased in cases of moderate (odds ratio = 5.73, P < 0.05) and severe (odds ratio = 82.06, P < 0.001) alveolar bone loss. Multivariate linear regression revealed that alveolar bone loss and minRABH had a statistically significant influence on maxMT (P < 0.05). Alveolar bone loss and minRABH were significantly associated with mucosal thickening of the maxillary sinus.

We aimed to determine the correlation between fibrosis and elastic values in papillary thyroid carcinoma (PTC) by shear wave elastography and to evaluate the effect of platelet‐derived growth factor (PDGF) on the fibrosis process. Small interfering RNA (siRNA)‐PDGF and normal BCPAP cell lines were injected subcutaneously into the backs of nude mice. The elastic values of all tumors were measured by shear wave elastography. The content of collagen fibers and the expression of PDGF and type IV collagen (COL4) were evaluated by Masson staining and western blotting. There were 32 tumors in the control group and 30 tumors in the siRNA‐PDGF group. The tumors were divided into 4 subgroups based on maximum diameters of the tumors. The mean elastic values ± SD (Emean, 29.79 ± 11.04 kPa; Emin, 16.98 ± 7.51 kPa, Emax, 39.99 ± 15.30 kPa; and SD, 5.92 ± 2.00 kPa) in the siRNA‐PDGF group were lower than in the control group (Emean, 35.73 ± 18.49 kPa; Emin, 23.65 ± 14.92 kPa, Emax, 45.73 ± 22.88 kPa; and SD, 6.02 ± 3.38 kPa). The content of collagen fibers and the expression of platelet‐derived growth factor B (PDGFB) and COL4 proteins in the siRNA‐PDGF group were lower than in the control group (11.43% ± 6.99% and 19.80% ± 11.70%; P= .010; 0.14 ± 0.06 and 0.27 ± 0.10; P= .002; and 0.11 ± 0.06 and 0.15 ± 0.07; P= .101). The elastic values, collagen fiber content, and PDGFB and COL4 in the 4 subgroups gradually increased with the maximum diameter of tumors. There was a positive correlation among PDGF, tumor stiffness, and fibrosis in the growth of PTC. Thus, PDGF might play an important role in the development of PTC.

E‐paper is an important candidate for ultra‐low‐power display of IoT environments. However, the switching speed and driving voltage are factors hindering E‐paper's prevailing. Here, we demonstrated using LC and viscosity modifier to simultaneously double the switching speed and cut down the driving voltage to half; meanwhile, the e‐paper still sustained the same contrast and bistability. This concept may pave a new route for future E‐ink research and production.

In this paper, IR‐drop, de‐mura and burn‐in compensation algorithms were developed and implemented in TCON IC to improve the Long Range Uniformity (LRU), display mura and burn in issue. By implemented these algorithms, the LRU were improved from 75.5% to 94.5%, the mura and burn in level were decreased from level 4 to level 1. Moreover, automotive grade reliability was passed for 12.3 inch FHD flexible AMOLED display intergraded with GOA technology and TCON driving circuit board.

This study explores university students’ perceptions of generative AI (GenAI) technologies, such as ChatGPT, in higher education, focusing on familiarity, their willingness to engage, potential benefits and challenges, and effective integration. A survey of 399 undergraduate and postgraduate students from various disciplines in Hong Kong revealed a generally positive attitude towards GenAI in teaching and learning. Students recognized the potential for personalized learning support, writing and brainstorming assistance, and research and analysis capabilities. However, concerns about accuracy, privacy, ethical issues, and the impact on personal development, career prospects, and societal values were also expressed. According to John Biggs’ 3P model, student perceptions significantly influence learning approaches and outcomes. By understanding students’ perceptions, educators and policymakers can tailor GenAI technologies to address needs and concerns while promoting effective learning outcomes. Insights from this study can inform policy development around the integration of GenAI technologies into higher education. By understanding students’ perceptions and addressing their concerns, policymakers can create well-informed guidelines and strategies for the responsible and effective implementation of GenAI tools, ultimately enhancing teaching and learning experiences in higher education.

A 12.3‐inch top‐emission AMOLED transparent display based on LTPS TFT technology was developed. The transmittance of this novel display reached nearly 50% by adopting transparent area and pattern cathode. In addition, the design of auxiliary cathode can effectively reduce power consumption and improve reliability and lifetime of the panel.

A class of nonlocal delay differential equation with nonmonotone nonlinearity that arises from population dynamics is considered. The existence of travelling waves is established by constructing two auxiliary monotone dynamical systems combined with a global coupling condition. Our results require neither the compactness nor the reflection invariance of the solution semiflow.

ABSTRACTReliability of four groups of ceramic indenter/disc systems was tested using a step-stress accelerated life-testing model. Specimens were fatigued to failure according to three step-stress profiles: light, moderate and aggressive. Group LGC/PFM [heat-pressed leucite glass-ceramic on metal (LGC)/porcelain-fused-to-metal (PFM), disc 1.5-mm thickness] exhibited a lowest reliability and mean-time-to-failure (MTTF), and highest failure rate. At 320-N load, Group Y-TZP/Y-TZP [3 mol-% yttria-stabilised tetragonal zirconia polycrystal (Y-TZP)/Y-TZP, disc 0.6-mm thickness] exhibited a significantly longer MTTF than Group LD/LD [heat-pressed lithium disilicate (LD)/LD, disc 1.5-mm thickness] both at 50,000 and 100,000 cycles, at 90% confidence bounds. Y-TZP indenter and disc of 1.2 mm thickness were used as a control and resulted in no fracture at 320-N load and 150,000 cycles. Zirconia specimens at 0.6-mm thickness performed comparably to 1.5-mm LD and better than 1.5-mm layered PFM specimens in terms of reliability (fracture resistance), MTTF and failure rate.

ABSTRACTBonding behaviours of a novel self-glazed zirconia dental material were investigated. The effect of a preformed porous nanoceramic bonding surface and the different cleansing methods on saliva-contaminated bonding surfaces was assessed in this in vitrostudy. Cleaning procedures commonly used in dental offices were tested. All specimens demonstrated adhesive fracture patterns except for airborne particle abrasion group, which resulted in mixed-type fracture pattern and the highest bonding force values. No statistically significant differences in bonding force values were found between self-glazed zirconia with and without a preformed porous nanoceramic bonding surface when bonded with the self-adhesive resin cement (RelyX™ Unicem 2). Scanning electron micrographs revealed no interaction between the bonding surface and the resin cement after priming. Mechanical retention is the predominant bonding mechanism between the bonding surface and the luting resin cement.

Background: Alzheimer’s Disease (AD) is a chronic progressive neurodegenerative disorder in a central nervous system seen. Objective: We aimed to study the miR-107 in Alzheimer's Disease (AD) pathology through regulating SYK and NF-ΚB signaling pathway. Method: Bioinformatics analysis was performed to screen NF-ΚB signaling pathway and differentially expressed genes. The target relationship between miR-107 and SYK was verified by dual luciferase assay. QRT-PCR and western blot analysis were used to verify the expression level of miR-107, SYK and NF- ΚB signaling pathway related proteins of hippocampus primary neurons. BAY61-3606 and BAY11-7082 were purchased for functional examination. Morris water maze tests were performed to access spatial memory of AD mice with SYK and NF-ΚB signaling pathway inhibition. Fluorescence microscope dyeing experiment investigated the neurons nuclear form and apoptosis. Results: MiR-107 was lowly expressed while SYK was highly expressed in Tg19959 mouse model. Luciferase Assay confirmed the target relationship in miR-107 and SYK. With the inhibition of miR-107, SYK was up-regulated and the increase of p-p65 and the decrease of p-IΚB-α suggested that NF-ΚB signaling pathway was activated in vitro. Morris water maze test indicated that the spatial memory of Tg19959 mice was increased with the treatment. The result of DAPI staining indicated that the inhibition of SYK or NF-ΚB signaling pathway reduced the apoptosis of Tg19959 mice neuron cell. Conclusion: MiR-107 exerts its effects through suppression of the NF-ΚB signaling pathway and SYK, the inhibition of SYK and NF-ΚB signaling pathway can improve spatial memory and suppress cell apoptosis.

Bonding behaviours of a novel self-glazed zirconia dental material were investigated. The effect of a preformed porous nanoceramic bonding surface and the different cleansing methods on saliva-contaminated bonding surfaces was assessed in this in vitrostudy. Cleaning procedures commonly used in dental offices were tested. All specimens demonstrated adhesive fracture patterns except for airborne particle abrasion group, which resulted in mixed-type fracture pattern and the highest bonding force values. No statistically significant differences in bonding force values were found between self-glazed zirconia with and without a preformed porous nanoceramic bonding surface when bonded with the self-adhesive resin cement (RelyX™ Unicem 2). Scanning electron micrographs revealed no interaction between the bonding surface and the resin cement after priming. Mechanical retention is the predominant bonding mechanism between the bonding surface and the luting resin cement.

Reliability of four groups of ceramic indenter/disc systems was tested using a step-stress accelerated life-testing model. Specimens were fatigued to failure according to three step-stress profiles: light, moderate and aggressive. Group LGC/PFM [heat-pressed leucite glass-ceramic on metal (LGC)/porcelain-fused-to-metal (PFM), disc 1.5-mm thickness] exhibited a lowest reliability and mean-time-to-failure (MTTF), and highest failure rate. At 320-N load, Group Y-TZP/Y-TZP [3 mol-% yttria-stabilised tetragonal zirconia polycrystal (Y-TZP)/Y-TZP, disc 0.6-mm thickness] exhibited a significantly longer MTTF than Group LD/LD [heat-pressed lithium disilicate (LD)/LD, disc 1.5-mm thickness] both at 50,000 and 100,000 cycles, at 90% confidence bounds. Y-TZP indenter and disc of 1.2 mm thickness were used as a control and resulted in no fracture at 320-N load and 150,000 cycles. Zirconia specimens at 0.6-mm thickness performed comparably to 1.5-mm LD and better than 1.5-mm layered PFM specimens in terms of reliability (fracture resistance), MTTF and failure rate.

Bacterial meningitis after percutaneous radiofrequency trigeminal ganglion is a rare but severe complication. In this article, we report a case of meningitis due to Streptococcus parasanguinisand review the related literature. A 62-year-old male patient with uremia and severe trigeminal neuralgia presented to another hospital and was offered to undergo radiofrequency treatment for a trigeminal ganglion lesion (2022.08.05). The next day (2022.08.06), he presented with a headache and right shoulder and back pain. The pain continued to worsen, so he came to our hospital (The First Affiliated Hospital of Wannan Medical College) and received a diagnosis of bacterial meningitis, which was confirmed by a lumbar puncture. The patient was treated with appropriate antibiotics, and subsequently recovered before being discharged. Although this complication is relatively rare, its progression is rapid. Meningitis must be suspected when a patient presents with headache, fever, and other symptoms associated with meningitis within days after undergoing radiofrequency treatment for a trigeminal ganglion lesion, especially if the patient has an underlying disease that causes a decline in immunity. We discuss this case in terms of clinical presentation, time of onset, treatment, prognosis, past history, and sex. Although early detection of this complication is beneficial, it is better to effectively prevent its occurrence.

Stroke is a type of cerebrovascular disease that significantly endangers human health and lowers quality of life. This understandably places a heavy burden on society and families. In recent years, intestinal flora has attracted increasing attention from scholars worldwide, and its association with ischemic stroke is becoming a hot topic of research amongst researchers in field of stroke. After suffering from a stroke, intestinal microbial dysbiosis leads to increased intestinal permeability and activation of the intestinal immune system, which in turn leads to ectopic intestinal bacteria and pro-inflammatory cells that enter brain tissue through the damaged blood-brain barrier. This exacerbates ischemia-reperfusion injury. Interestingly, after a stroke, some metabolites produced by the intestinal flora attenuate ischemia-reperfusion injury by suppressing the post-stroke inflammatory response and promotes the repair of neurological function. Here we elucidate the changes in gut flora after occurrence of a stroke and highlight the immunomodulatory processes of the post-stroke gut flora.

Antibiotic fitness and acquired resistance are the two critical factors when bacteria respond to antibiotics, and the correlations and mechanisms between these two factors remain largely unknown. In this study, a TMT-labeling-based quantitative proteomics method was used to compare the differential expression of proteins between the fitness and acquired resistance to chlortetracycline in Aeromonas hydrophilabiofilm. Bioinformatics analysis showed that translation-related ribosomal proteins, such as 30s ribosome subunits, increased in both factors; fatty acid biosynthesis related proteins, such as FabB, FabD, FabG, AccA, and AccD, increased in biofilm fitness, and some pathways (including propanoate-metabolism-related protein, such as PrpB, AtoB, PflB, AcsA, PrpD, and GabT) displayed decreased abundance in acquired resistance biofilm. The varieties of selected proteins involved in fatty acid biosynthesis and propanoate metabolism were further validated by q-PCR assay or Western blotting. Furthermore, the antibiotic-resistance-function assays showed that fatty-acid biosynthesis should be a protective antibiotics-resistance mechanism and a cocktail of chlortetracycline and triclosan, a fatty-acid-biosynthesis inhibitor, exhibited more efficient antimicrobial capability than did each antibiotic individually on biofilm, specifically on chlortetracycline-sensitive biofilm. We therefore demonstrate that the up-regulation of fatty acid biosynthesis may play an important role in antibiotic resistance and suggest that a cocktail of chlortetracycline and triclosan may be a potential cocktail therapy for pathogenic infections in biofilm.

Aiming at the critical drawbacks of low sampling rate and less accuracy in Monte Carlo Localisation (MCL) algorithm, a novel mobile nodes localisation algorithm based on the hill climbing optimisation strategy is proposed, namely HCPSO-MCL (Hill Climbing Particle Swarm Optimisation-MCL). The HCPSO-MCL algorithm combines the hill climbing strategy and particle swarm optimisation to correct the location estimated by the MCL algorithm, which results in effective implementation and accurate positioning of the mobile nodes. The experimental results indicate that the HCPSO-MCL algorithm improves the positioning accuracy greatly compared to the MCL algorithm and that it has a faster position velocity than the PSO-MCL algorithm.

: To establish standard norms for posterior smile-related characteristics including posterior smile line (PSL), the most posterior teeth displayed (MPTD), buccal corridor ratio (BCR), and buccal corridor symmetry (BCS), and investigate its aesthetic contributions to smile attractiveness.

Description

Monthly mean sea surface temperature (SST), free air temperature from satellite microwave sounding units (MSU) and oceanic surface energy fluxes are subjected to empirical orthogonal function (EOF) analysis for a common decade to investigate the physical relationships involved. The first seasonal modes of surface solar energy flux and SST show similar inter-hemispheric patterns with an annual cycle. Solar flux appears to control this pattern of SST. The first seasonal mode of MSU is similar with, additionally, land-sea differences; MSU is apparently partly controlled by absorption of solar near-infrared radiation and partly by sensible heat from the land surface. The second and third seasonal eigenvector of SST and solar flux exhibit semi-annual oscillations associated with a pattern of cloudiness in the subtropics accompanying the translation of the Hadley cell rising motion between the hemispheres. The second seasonal mode of MSU is dominated by an El Niño signal. The first nonseasonal EOFs of SST and solar flux exhibit El Niño characteristics with the solar pattern being governed by west-to-east translation of a Walker cell type pattern. The first non-seasonal EOF of MSU shows a tropical strip pattern for the El Niño mode, which is well correlated with the latent heat fluxes in the tropical east Pacific but not in the tropical west Pacific. Two possible explanations are: an increase in subsidence throughout the tropical strip driven by extra evaporation in the tropical east Pacific and consequent additional latent heat liberation; a decrease of meridional heat flux out of the tropics.