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Abstract In order to study how to use pulmonary functional imaging obtained through 4D-CT fusion for radiotherapy planning, and transform traditional dose volume parameters into functional dose volume parameters, a functional dose volume parameter model that may reduce level 2 and above radiation pneumonia was obtained. 41 pulmonary tumor patients who underwent 4D-CT in our department from 2020 to 2023 were included. MIM Software (MIM 7.0.7; MIM Software Inc., Cleveland, OH, USA) was used to register adjacent phase CT images in the 4D-CT series. The three-dimensional displacement vector of CT pixels was obtained when changing from one respiratory state to another respiratory state, and this three-dimensional vector was quantitatively analyzed. Thus, a color schematic diagram reflecting the degree of changes in lung CT pixels during the breathing process, namely the distribution of ventilation function strength, is obtained. Finally, this diagram is fused with the localization CT image. Select areas with Jacobi > 1.2 as high lung function areas and outline them as fLung. Import the patient's DVH image again, fuse the lung ventilation image with the localization CT image, and obtain the volume of fLung different doses (V60, V55, V50, V45, V40, V35, V30, V25, V20, V15, V10, V5). Analyze the functional dose volume parameters related to the risk of level 2 and above radiation pneumonia using R language and create a predictive model. By using stepwise regression and optimal subset method to screen for independent variables V35, V30, V25, V20, V15, and V10, the prediction formula was obtained as follows: Risk = 0.23656–0.13784 * V35 + 0.37445 * V30-0.38317 * V25 + 0.21341 * V20-0.10209 * V15 + 0.03815 * V10. These six independent variables were analyzed using a column chart, and a calibration curve was drawn using the calibrate function. It was found that the Bias corrected line and the Apparent line were very close to the Ideal line, The consistency between the predicted value and the actual value is very good. By using the ROC function to plot the ROC curve and calculating the area under the curve: 0.8475, 95% CI 0.7237–0.9713, it can also be determined that the accuracy of the model is very high. In addition, we also used Lasso method and random forest method to filter out independent variables with different results, but the calibration curve drawn by the calibration function confirmed poor prediction performance. The function dose volume parameters V35, V30, V25, V20, V15, and V10 obtained through 4D-CT are key factors affecting radiation pneumonia. Establishing a predictive model can provide more accurate lung restriction basis for clinical radiotherapy planning.

To solve the problems of low spectral efficiency and poor performance of physical layer security (PLS) in single-input single-output (SISO) wireless systems with adaptive modulation in the presence of an active eavesdropper, multiple-input multiple-output (MIMO) wireless systems with secure adaptive modulation (SAM) were proposed.The design idea was to improve the spectral efficiency of the main channel by antenna diversity technology, which used the transmit antenna selection (TAS) at the transmitter and the maximal ratio combining (MRC) at the legitimate receiver to improve the signal-to-noise ratio.Simultaneously, the PLS of the legitimate receiver was guaranteed by limiting the bit error rate of the active eavesdropper so that it could not demodulate the confidential information from the main channel.With the joint constraints of the average transmission power and PLS, the optimal switching thresholds and the analytical expressions of spectral efficiency and the eavesdropper’s average bit error rate of the SAM-MIMO systems were derived.Numerical and simulation results show that SAM systems using TAS/MRC technology can not only improve the spectral efficiency of the main channel, but also ensure the PLS against the active eavesdropper, compared with the SAM-SISO systems.

To solve the problems of low spectral efficiency and poor performance of physical layer security (PLS) in single-input single-output (SISO) wireless systems with adaptive modulation in the presence of an active eavesdropper, multiple-input multiple-output (MIMO) wireless systems with secure adaptive modulation (SAM) were proposed.The design idea was to improve the spectral efficiency of the main channel by antenna diversity technology, which used the transmit antenna selection (TAS) at the transmitter and the maximal ratio combining (MRC) at the legitimate receiver to improve the signal-to-noise ratio.Simultaneously, the PLS of the legitimate receiver was guaranteed by limiting the bit error rate of the active eavesdropper so that it could not demodulate the confidential information from the main channel.With the joint constraints of the average transmission power and PLS, the optimal switching thresholds and the analytical expressions of spectral efficiency and the eavesdropper’s average bit error rate of the SAM-MIMO systems were derived.Numerical and simulation results show that SAM systems using TAS/MRC technology can not only improve the spectral efficiency of the main channel, but also ensure the PLS against the active eavesdropper, compared with the SAM-SISO systems.

In this study, the transcriptome profiles of tissue–cultured grapevine (Vitis vinifera L. × Vitis labrusca L.: Rose Honey) seedlings inoculated with fungal endophytes Epicoccum layuense R2-21 (Epi R2-21) and Alternaria alternata XHYN2 (Alt XHYN2), were analyzed at three different time points (6 h, 6 d, and 15 d). A total of 4783 differentially expressed genes (DEGs) was found, of which 1853 (6 h), 3878 (6 d), and 4732 (15 d) were differentially expressed relative to those of the control in endophyte Epi R2-21 treatments, while a total of 5898 DEGs, of which 2726 (6 h), 4610 (6 d), and 3938 (15 d) were differentially expressed in endophyte Alt XHYN2 treatments. DEGs enriched in secondary metabolic pathways, plant–pathogen interaction, and hormone signalling were further analysed. The upregulated DEGs in the Epi R2-21 and Alt XHYN2 treatments, both enriched in the Kyoto Encyclopedia of Genes and Genomes (KEGG), were mainly involved in flavonoid biosynthesis, phenylpropanoid biosynthesis, stilbenoid, diarylheptanoid and gingerol biosynthesis, phenylalanine metabolism, and circadian rhythms–plant and plant–pathogen interactions, similar to the trend observed in our previous study conducted on the cultivar ‘Cabernet Sauvignon’ (Vitis vinifera L.). Taken together with the results obtained from the cultivar ‘Cabernet Sauvignon’, it was found that tissue-cultured seedlings of the cultivar ‘Rose Honey’ induced a stronger defence response to fungal endophyte infection than that of the cultivar ‘Cabernet Sauvignon’, and inoculation with the endophyte Alt XHYN2 triggered a stronger response than inoculation with the endophyte Epi R2-21. In addition, the protein–protein interaction (PPI) network revealed that the genes VIT_16s0100g00910, encoding CHS, and VIT_11s0065g00350, encoding CYP73A, were involved in secondary metabolism and thus mediated in the resistance mechanism of grapevine on both the cultivars. The results showed that inoculation with the endophytes Epi R2-21 and Alt XHYN2 had a great ability to induce defence responses and reprogram the gene expression profiles in different grapevine cultivars, which deepens our knowledge of the interaction between fungal endophytes and grapevine and gives hints for grape quality management in viticulture using candidate fungal endophytes.

The long short-term memory (LSTM) recurrent neural network algorithm in deep learning has demonstrated significant superiority in predicting the realized volatility (RV) of crude oil prices. However, there is no robust and consistent conclusion regarding the handling of microstructural noise from high-frequency data during the prediction process. Therefore, this study utilizes six commonly used data decomposition methods, as documented in the literature, to address the issue of noise handling and decompose the RV series of Chinese crude oil futures. Subsequently, LSTM is integrated with the decomposed data to model and forecast RV. The empirical findings provide compelling evidence that the LSTM model based on neural networks outperforms traditional econometric models in out-of-sample forecasting. Furthermore, the LSTM model with data noise decomposition consistently exhibits superior out-of-sample prediction performance compared to the model without noise decomposition. Among the various data noise decomposition models examined, this study highlights the significant out-of-sample predictive power of variational mode decomposition (VMD), a nonrecursive signal decomposition method, that outperforms other methods. In the scenario of predicting one step ahead, the VMD-LSTM model demonstrates MAE, MSE, and HMAE values of 7.5×10−2, 1.10×10−4, and 0.423, respectively.

The relay aided device to device (D2D) network can improve the spectrum efficiency of D2D users and the physical layer security of cellular user (CU) by sharing spectrum with the cellular network.To further improve their performance, transmit antenna selection can be used at the base station and the relay node of the D2D link, and full duplex technology can be used in the relay node.However, due to the feedback delay and mobility, the channel state information (CSI) used for the antenna selection of cellular link and all D2D links may be outdated.For the physical layer security and reliability in the above scenario, security model of a full duplex relay aided D2D network was proposed in the presence of active eavesdropping and outdated CSI, in which the base station and relay nodes both used transmit antenna selection.The closed-expressions for outage probability, ergodic capacity, probability of non-zero secrecy capacity, secure outage probability, asymptotic secure outage probability of relay aided D2D networks were derived.The numerical calculation and simulation results show that the more the number of base station transmit antennas and relay jamming antennas are, the better the CU security performance is.The outdated CSI will deteriorate the outage and security performance of CU.

The relay aided device to device (D2D) network can improve the spectrum efficiency of D2D users and the physical layer security of cellular user (CU) by sharing spectrum with the cellular network.To further improve their performance, transmit antenna selection can be used at the base station and the relay node of the D2D link, and full duplex technology can be used in the relay node.However, due to the feedback delay and mobility, the channel state information (CSI) used for the antenna selection of cellular link and all D2D links may be outdated.For the physical layer security and reliability in the above scenario, security model of a full duplex relay aided D2D network was proposed in the presence of active eavesdropping and outdated CSI, in which the base station and relay nodes both used transmit antenna selection.The closed-expressions for outage probability, ergodic capacity, probability of non-zero secrecy capacity, secure outage probability, asymptotic secure outage probability of relay aided D2D networks were derived.The numerical calculation and simulation results show that the more the number of base station transmit antennas and relay jamming antennas are, the better the CU security performance is.The outdated CSI will deteriorate the outage and security performance of CU.

Abstract The attack price of higher order side channel attacks (HOSCA) grows exponentially with the mask order. When the mask order is larger than 3, HOSCA can be inapplicable. In light of this, the distance similarity measure based profiling attack (DSMPA) is proposed. In DSMPA, the leakage property of masks can be characterised in a profiling scenario and the so called templates can be obtained. Then, DSM can be used to recover mask values with templates. With mask values recovered, the effect of masking disappears and one can use first‐order side‐channel attacks to recover the secret key used by a masked chip. The key‐recovery efficiency of DSMPA is evaluated in real scenarios, and the advantage of DSMPA over HOSCA in terms of the key‐recovery efficiency can be obvious under the success rate metric. Overall, the contribution of this work may provide evaluators a powerful tool to evaluate the security of masked chips.

The stratification of the atmospheric surface layer (ASL) plays an important role in regulating the water vapor and heat exchange across the lake–air interface. Based on one year of data measured by the eddy covariance technique over Erhai Lake in 2015, the ASL stability ($${\rm{\zeta }}$$) was divided into six ranges, including unstable ($$ - 1 \le {\rm{\zeta }} \lt - 0.1$$), weakly unstable ($$ - 0.1 \le {\rm{\zeta }} \lt - 0.01$$), near-neutral1 ($$ - 0.01 \le {\rm{\zeta }} \lt 0$$), near-neutral2 ($$0 \le {\rm{\zeta }} \lt 0.01$$), weakly stable ($$0.01 \le {\rm{\zeta }} \lt 0.1$$), and stable ($$0.1 \le {\rm{\zeta }} \lt 1$$). The characteristics of ASL stability conditions and factors controlling the latent ($$\rm LE$$) and sensible heat ($$H$$) fluxes under different stability conditions were analyzed in this study. The stability conditions of Erhai Lake have noticeably seasonal and diurnal variation, with the near-neutral and (weakly) stable stratification usually occurring before July, with frequencies of 51.7% and 23.3%, respectively, but most of the (weakly) unstable stratification was observed after July, with a frequency of 59.8%. Large evaporation occurred even in stable atmospheric conditions, due to the coupled effects of the relatively larger lake–air vapor pressure difference and wind speed. The relative controls of $$\rm LE$$ and $$H$$ by different atmospheric variables are largely dependent on the stability conditions. In stable and unstable ranges, $$\rm LE$$ is closely correlated with the vapor pressure difference, whereas in weakly unstable to weakly stable ranges, it is primarily controlled by wind speed. $$H$$ is related to wind speed and the lake–air temperature difference under stable conditions, but shows no obvious relationship under unstable conditions.

Water and carbon exchanges between grassland and the atmosphere are important processes for water balance and carbon balance. Based on eddy covariance observations over a semiarid alpine steppe ecosystem in Bange on the Tibetan Plateau during the growing season from 2014 to 2017, the variations in evapotranspiration (ET), net ecosystem exchange (NEE), and their components and the associated driving factors were analyzed. Linear and nonlinear models were applied to investigate the relationships between fluxes and their controlling factors over different timescales. The results show that the average ET for the growing season ranged from 1.1 to 2.4 mm/d with an average of 2.0 mm/d for the four consecutive years. Drought conditions reduced the surface conductance and hence the Priestley–Taylor coefficient. Mean T/ET was low (0.34) due to low vegetation cover. Plant growth increased the T/ET ratio during the growing season, whereas soil water content (SWC) explained most of the variation of ET and E on daily and monthly scales. The Enhanced Vegetation Index (EVI) was the most important controlling factor for temperature. Transpiration increased with SWC in dry conditions. For the growing season in 2014, 2016, and 2017, Bange was a carbon sink, while it was a carbon source in 2015. The largest CO2 flux was higher and the temperature sensitivity coefficient (Q10) was lower for 2015 than for the other three years. SWC affected these photosynthesis and respiration parameters. The ratio of respiration (Re) to gross primary production (GPP) was the highest during the 2015 growing season. Both on daily and monthly scales, Re was positively and linearly correlated with GPP. The most important controlling factor for the CO2 flux was EVI on daily and monthly scales.

Abstract Background Primary intraosseous cavernous hemangiomas (PICHs) of the skull are extremely rare. To date, diffuse cranial hemangioma of skull has not been reported. In cancer patients, it is often misdiagnosed as metastasis. Case presentation Here, we presented a case of a 50-year-old female patient suffering from slightly headache who received breast cancer modified radical mastectomy in 2004, computed tomography and magnetic resonance imaging findings revealed abnormal lesions of diffuse skull which were misdiagnosed as skull metastasis, and the relevant literatures were also reviewed. Conclusions Diffuse cavernous hemangioma of the skull is exceedingly rare, and imaging data are not typical. The condition is often misdiagnosed, and pathological evaluation is necessary and important. In cases where the mass cannot be completely removed by surgery, radiotherapy could be beneficial.

Leptosphaeria maculans causes blackleg disease in Brassica napus. The blackleg disease is mainly controlled by resistance genes in B. napus. Previous studies have shown that the blackleg resistant BLMR2 locus that conferred horizontal resistance under field conditions, is located on chromosome A10 of B. napus. The purpose of this study is to fine map this locus and hence identify a candidate gene underlying horizontal resistance. The spectrum of resistance to L. maculans isolates of the resistance locus BLMR2 was analyzed using near isogenic lines, resistant, and susceptible cultivars. The results showed that this locus was horizontally resistant to all isolates tested. Sequence characterized amplified regions (SCAR), simple sequence repeats (SSR), and single nucleotide polymorphism (SNP) markers were developed in the chromosome region of BLMR2 and a fine genetic map was constructed. Two molecular markers narrowed BLMR2 in a 53.37 kb region where six genes were annotated. Among the six annotated genes, BnaA10g11280D/BnaA10g11290D encoding a cytochrome P450 protein were predicted as the candidate of BLMR2. Based on the profiling of pathogen induced transcriptome, three expressed genes in the six annotated genes were identified while only cytochrome P450 showed upregulation. The candidate corresponds to the gene involved in the indole glucosinolate biosynthesis pathway and plant basal defense in Arabidopsis thaliana. The molecular markers identified in this study will allow the quick incorporation of the BLMR2 allele in rapeseed cultivars to enhance blackleg resistance.

Development of high-performance graphene-based microwave absorbing materials with low density and strong absorption is of great significance to solve the growing electromagnetic pollution. Herein, a controllable open-cell structure is introduced into graphene aerogels by the graphene oxide (GO) Pickering emulsion. The open-cell graphene aerogel (OCGA) with multiple microstructures shows a significantly enhanced microwave absorption ability without any additions. A high microwave absorption performance with the minimum value of reflection loss (RLmin) of −51.22 dB was achieved, while the material density was only 4.81 mg/cm3. Moreover, by means of centrifugation, the graphene cells were arranged by their diameter, and a gradient, open-cell graphene structure was first fabricated. Based on this unique structure, an amazing microwave absorption value of −62.58 dB was reached on a condition of ultra-low graphene content of 0.53 wt%. In our opinion, such excellent microwave absorption performance results from multiple reflection and well-matched impedance brought by the open-cell and gradient structure, respectively. In addition, the structural strength of the OCGA is greatly improved with a maximum increase of 167% due to the introduction of cell structure. Therefore, the OCGAs with the gradient structure can be an excellent candidate for lightweight, efficient microwave absorption materials.

AimTo confirm the effects of Debaryomyces hansenii on intestinal microecology in mice with antibiotic-associated diarrhea (AAD).MethodsThis study took the mucosal microecology as the entry point and an antibiotic mixture was used to induce diarrhea in mice. D. hansenii suspension was used to treat the mice and the bacterial communities of mucosa was analyzed using high-throughput sequencing.ResultsThe Shannon-Wiener index indicated that the sequencing depth is reasonable and reflected the majority of microbial information. The principal coordinate analysis results showed that mice in the treatment group and the normal group had a similar microbial community structure, while differences in microbial community structure were observed between the model group and the treatment group. The inter-group bacterial structures were analyzed at the phylum level and genus level. The results revealed that antibiotic treatment increased the proportion of Proteobacteria and decreased the proportion of Bacteroides, while D. hansenii treatment inhibited the increase in Proteobacteria. Linear discriminant analysis coupled with effect size measurements (LEfSe) suggested d that the beneficial bacteria Candidatus Arthromitus were the only common bacteria in the normal group (PConclusionThe treatment with D.hansenii could contribute to the maintenance of the structure of the mucosal microbiota in comparison with the normal group and inhibit the proliferation of opportunistic bacteria. However, high-dose antibiotic treatment causes mucosal dysbiosis and the proliferation of opportunistic bacteria during the self-recovery period, such as Pseudoalteromonas, Alteromonas, Vibrio.

Tropical cyclones and meiyu-baiu fronts, as the two main synoptic systems over East Asia, bring heavy rain during summers, but their long-term and vertical raindrop size distribution (RSD) features over the midlatitude Japan Islands are limited. Radar-based quantitative precipitation estimation (QPE) techniques require RSD observations. In this study, five-year observations from Tokyo with a ground-based impact Joss-Waldvogel disdrometer (JWD) and a vertically pointing micro rain radar (MRR) with a vertical range of 0.2−6.0 km were used to study the vertical structures of RSD and QPE parameters. The results showed that the convective rain associated with tropical cyclones had a maritime nature, while the rain associated with the meiyu-baiu front had a continental nature. The rain associated with tropical cyclones had a relatively higher concentration of raindrops and a larger average raindrop diameter than the rain associated with the meiyu-baiu front. The Z−R (radar reflectivity-rain rate) relationships (Z = ARb) based on the JWD data for tropical cyclones, the meiyu-baiu front and total summer rainfall in Tokyo were Z = 189 R1.38, Z = 214 R1.35 and Z = 212 R1.33, respectively. When the Z−R relationships obtained in this study were used to replace the operational relationship of Z = 300 R1.4, the standard deviation of the rain rate was reduced from 5.50 mm/h (2.34 mm/h) to 2.34 mm/h (1.32 mm/h) for typhoon (meiyu-baiu front) rainfall, although the change for total summer rainfall was small. In addition, with increasing height below 4 km, the value of A and b decreased.

Background and purpose: Despite the significant advancements that have been made in the treatment of gastric cancer, there are still problems such as poor prognosis and low five-year survival rate in advanced gastric cancer. Therefore, exploring effective treatment options remains a key focus of clinical research. As a new type of immune checkpoint inhibitor, the clinical efficacy and safety of pembrolizumab still need to be confirmed by extensive research. Therefore, this study conducted regression analysis of the effect of pembrolizumab combined with XELOX regimen in the treatment of advanced gastric cancer, providing a reference for clinical treatment. Methods: Clinical data of patients with advanced gastric cancer who were admitted to Shanxi Province Cancer Hospital from March 2020 to August 2022 were retrospectively collected. Inclusion criteria: patients with HER2-negative, untreated advanced gastric cancer or adenocarcinoma of the esophagogastric junction, confirmed by clinical histopathological examination and meeting relevant diagnostic criteria; TNM stage Ⅳ; age ≥20 years; expected survival ≥6 months; no severe organ damage before treatment; Karnofsky score >60; patients with complete clinical data. Exclusion criteria: patients with concurrent major organ dysfunction; hypothyroidism or hyperthyroidism; blood or coagulation disorders; autoimmune diseases; lactating or pregnant women; individuals with mental illnesses or a history of mental illness; those with concurrent other malignancies; those with severe liver or kidney dysfunction; patients with incomplete clinical data. Based on the inclusion and exclusion criteria, 91 patients with advanced gastric cancer were selected. Among them, 45 received XELOX regimen treatment (control group), and 46 received pembrolizumab combined with XELOX regimen treatment (observation group). After establishing the database, one patient in the observation group was found to have logical errors in their treatment information and was therefore excluded. Ultimately, 90 patients were included in the study, with 45 in each of the control and observation groups. The efficacy, median overall survival (OS), median progression-free survival (PFS), toxic side effects, improvement in quality of life, and levels of carcinoembryonic antigen (CEA), carbohydrate antigen 19-9 (CA19-9), Escherichia coli, Bifidobacterium and Lactobacillus before and after treatment were compared between the two groups. This study was approved by the ethics committee of Shanxi Province Cancer Hospital (ethics number: KY2023081). Results: After treatment, the proportion of progressive disease (PD) in the observation group was 20.0% (9/45), which was lower than that in the control group (40.0%, 18/45). However, there was no significant difference between the two groups in proportion of stable disease (SD), complete response (CR) and partial response (PR) (P>0.05). The improvement rate of quality of life in the observation group after treatment was 60.0% (27/45), which was higher than that in the control group, with a rate of 37.8% (17/45) (P 0.05). Conclusion: The combination of pembrolizumab and XELOX regimen can regulate the expression levels of tumor markers in patients with advanced gastric cancer, prevent disease progression, improve patient quality of life, and help maintain intestinal microecology balance.