Search

In the field of deep learning, the attention mechanism, as a technology that mimics human perception and attention processes, has made remarkable achievements. The current methods combine a channel attention mechanism and a spatial attention mechanism in a parallel or cascaded manner to enhance the model representational competence, but they do not fully consider the interaction between spatial and channel information. This paper proposes a method in which a space embedded channel module and a channel embedded space module are cascaded to enhance the model's representational competence. First, in the space embedded channel module, to enhance the representational competence of the region of interest in different spatial dimensions, the input tensor is split into horizontal and vertical branches according to spatial dimensions to alleviate the loss of position information when performing 2D pooling. To smoothly process the features and highlight the local features, four branches are obtained through global maximum and average pooling, and the features are aggregated by different pooling methods to obtain two feature tensors with different pooling methods. To enable the output horizontal and vertical feature tensors to focus on different pooling features simultaneously, the two feature tensors are segmented and dimensionally transposed according to spatial dimensions, and the features are later aggregated along the spatial direction. Then, in the channel embedded space module, for the problem of no cross-channel connection between groups in grouped convolution and for which the parameters are large, this paper uses adaptive grouped banded matrices. Based on the banded matrices utilizing the mapping relationship that exists between the number of channels and the size of the convolution kernels, the convolution kernel size is adaptively computed to achieve adaptive cross-channel interaction, enhancing the correlation between the channel dimensions while ensuring that the spatial dimensions remain unchanged. Finally, the output horizontal and vertical weights are used as attention weights. In the experiment, the attention mechanism module proposed in this paper is embedded into the MobileNetV2 and ResNet networks at different depths, and extensive experiments are conducted on the CIFAR-10, CIFAR-100 and STL-10 datasets. The results show that the method in this paper captures and utilizes the features of the input data more effectively than the other methods, significantly improving the classification accuracy. Despite the introduction of an additional computational burden (0.5 M), however, the overall performance of the model still achieves the best results when the computational overhead is comprehensively considered. [ABSTRACT FROM AUTHOR]

Blood orange (BO) is a rare red-fleshed sweet orange (SWO) with a high anthocyanin content and is associated with numerous health-related benefits. Here, we reported a high-quality chromosome-scale genome assembly for Neixiu (NX) BO, reaching 336.63 Mb in length with contig and scaffold N50 values of 30.6 Mb. Furthermore, 96% of the assembled sequences were successfully anchored to 9 pseudo-chromosomes. The genome assembly also revealed the presence of 37.87% transposon elements and 7.64% tandem repeats, and the annotation of 30,395 protein-coding genes. A high level of genome synteny was observed between BO and SWO, further supporting their genetic similarity. The speciation event that gave rise to the Citrus species predated the duplication event found within them. The genome-wide variation between NX and SWO was also compared. This first high-quality BO genome will serve as a fundamental basis for future studies on functional genomics and genome evolution. [ABSTRACT FROM AUTHOR]

Existing deep learning techniques for image fusion either learn image mapping (LIM) directly, which renders them ineffective at preserving details due to the equal consideration to each pixel, or learn detail mapping (LDM), which only attains a limited level of performance because only details are used for reasoning. The recent lossless invertible network (INN) has demonstrated its detail-preserving ability. However, the direct applicability of INN to the image fusion task is limited by the volume-preserving constraint. Additionally, there is the lack of a consistent detail-preserving image fusion framework to produce satisfactory outcomes. To this aim, we propose a general paradigm for image fusion based on a novel conditional INN (named DCINN). The DCINN paradigm has three core components: a decomposing module that converts image mapping to detail mapping; an auxiliary network (ANet) that extracts auxiliary features directly from source images; and a conditional INN (CINN) that learns the detail mapping based on auxiliary features. The novel design benefits from the advantages of INN, LIM, and LDM approaches while avoiding their disadvantages. Particularly, using INN to LDM can easily meet the volume-preserving constraint while still preserving details. Moreover, since auxiliary features serve as conditional features, the ANet allows for the use of more than just details for reasoning without compromising detail mapping. Extensive experiments on three benchmark fusion problems, i.e., pansharpening, hyperspectral and multispectral image fusion, and infrared and visible image fusion, demonstrate the superiority of our approach compared with recent state-of-the-art methods. The code is available at https://github.com/wwhappylife/DCINN [ABSTRACT FROM AUTHOR]

It is well known that information on stimulus orientation plays an important role in sensory processing. However, the neural mechanisms underlying somatosensory orientation perception are poorly understood. Adaptation has been widely used as a tool for examining sensitivity to specific features of sensory stimuli. Using the adaptation paradigm, we measured event-related potentials (ERPs) in response to tactile orientation stimuli presented pseudo-randomly to the right-hand palm in trials with all the same or different orientations. Twenty participants were asked to count the tactile orientation stimuli. The results showed that the adaptation-related N60 component was observed around contralateral central-parietal areas, possibly indicating orientation processing in the somatosensory regions. Conversely, the adaptation-related N120 component was identified bilaterally across hemispheres, suggesting the involvement of the frontoparietal circuitry in further tactile orientation processing. P300 component was found across the whole brain in all conditions and was associated with task demands, such as attention and stimulus counting. These findings help provide an understanding of the mechanisms of tactile orientation processing in the human brain. [ABSTRACT FROM AUTHOR]

To explore the microbial community structure and ecological function of mulberry and their potential relationship with the resistance of mulberry, the community structure and function of endophytic fungi in 18 mulberry cultivars were analyzed and predicted by using high-throughput sequencing technology and the FUNGuild database. A total of 352 operational taxonomic units of fungi were observed at a 97% similarity level, representing six phyla of fungi, Fungi_unclassified, Ascomycota, Basidiomycota, Zygomycota, Rozellomycota, and Chytridiomycota. Fungi_unclassified was dominant, and Ascomycota was relatively dominant in all cultivars. At the genus level, Ascomycota_unclassified was dominant, and Ampelomyces was relatively dominant, with a richness in TAIWANCHANGGUOSANG 16.47–8975.69 times that in the other cultivars. Classified Ascomycota_unclassified was 4.75–296.65 times more common in NANYUANSIJI than in the other cultivars. Based on the FUNGuild analysis method, we successfully annotated six nutrient types, namely, pathotroph, pathotroph–saprotroph, pathotroph–saprotroph–symbiotroph, saprotroph, saprotroph–symbiotroph, and symbiotroph, among which saprophytic–symbiotic accounted for the largest proportion and was absolutely dominant in TWC. This research suggests that community composition differs among cultivars and that the diversity and richness of endophytic fungi in resistant cultivars are higher than those in susceptible cultivars. The ecological functions of cultivars with different resistances are quite different. [ABSTRACT FROM AUTHOR]

The seed oil of Echium plantagineum L. is rich in unsaturated fatty acids. With the gradual development of the value of echium oil in food, medical care and cosmetics, the corresponding market demand has also increased. The selection of suitable cultivars and the increase of yield per unit area has also become one of the main objectives of current breeding and cultivation of E. plantagineum. To effectively use the local photothermal resources, to improve the use of light energy by E. plantagineum, and to enhance the growth and yield of E. plantagineum. E. plantagineum cultivars Blue Bedder and Mixed Bedding were used as research subjects to study the effects of different sowing dates (1 May, 8 May, 15 May, 22 May and 29 May) on the photosynthetic characteristics and yield of E. plantagineum. Under the same cultivar conditions, with the delay in sowing date, the leaf chlorophyll content (SPAD), photosynthetic rate (Pn), transpiration rate (Tr), stomatal limitation value (Ls), photochemical quenching (qP), electron transfer rate (ETR), actual photochemical efficiency (ΦpsII) and yield of Blue Bedder decreased and reached a maximum at T1, while the SPAD, Pn, Tr, water use efficiency (WUE), Ls, initial fluorescence (Fo), maximum fluorescence (Fm), qP, ETR, ΦpsII and yield of Mixed Bedding reached the maximum at T4. Blue Bedder should be sown early at T1 and Mixed Bedding late at T4 during planting, which will help to improve the photosynthetic characteristics and grain yield of E. plantagineum. [ABSTRACT FROM AUTHOR]

Background: While epidemiological studies have established a firm link between circadian disruption and tumorigenesis, the role and mechanism are not fully understood, complicating the design of therapeutic targets related to circadian rhythms (CR). Here, we aimed to explore the intertumoral heterogeneity of CR and elucidate its impact on the tumor microenvironment (TME), drug sensitivity, and immunotherapy. Methods: Based on unsupervised clustering of 28 CR genes, two distinct CR subtypes (cluster-A and cluster-B) were identified in the TCGA cohort. We further constructed a circadian rhythm signature (CRS) based on the CR genes primarily responsible for clustering to quantify CR activity and to distinguish CR subtypes of individual patients from external datasets. CR subtypes were evaluated by TME characteristics, functional annotation, clinical features, and therapeutic response. Results: The cluster-B (low-CRS) group was characterized by highly enriched immune-related pathways, high immune cell infiltration, and high anti-tumor immunity, while the cluster-A (high-CRS) group was associated with immunosuppression, synaptic transmission pathways, EMT activation, poor prognosis, and drug resistance. Immunohistochemistry (IHC) results demonstrated that high CD8+ T cell infiltration was associated with low-CR-protein expression. Importantly, patients with low CRS were more likely to benefit from immune checkpoint blockade (ICB) treatment, possibly due to their higher tumor mutation burden (TMB), increased immune checkpoint expression, and higher proportion of "hot" immunophenotype. Conclusion: In a nutshell, the cross talk in CR could reflect the TME immunoreactivity in breast cancer. Besides providing the first comprehensive pathway-level analysis of CR in breast cancer, this work highlights the potential clinical utility of CR for immunotherapy. [ABSTRACT FROM AUTHOR]

The Qinghai-Tibet Plateau (QTP) possesses the largest areas of permafrost in the mid-and low latitude regions on the earth and many large lakes in the permafrost area. Based on a comprehensive investigation around certain typical lakes, this study found that although the presence of lakes formed different ranges of unfrozen zones in permafrost, the heating effect of lake water on surrounding permafrost is limited to a small extent. The temperature of permafrost around the lake is closely related to the distance to the lake and the ice content of the permafrost. Around lakes are ice-rich permafrost zones and permafrost temperature in this area is significantly lower than that far away from the lake, which indicates that the existence of lakes in the QTP has special effect on the permafrost distribution. Based on the monitoring results, this study presents the typical distribution pattern of the permafrost around large lakes and discusses the reasons for the distribution pattern. Due to the huge area of lakes and the significant impact of lakes on permafrost distribution, it is suggested to re-estimate the total permafrost area and underground ice storage in the QTP. [ABSTRACT FROM AUTHOR]

Key message: Plant-deleterious microbial volatiles activate the transactivation of hypoxia, MAMPs and wound responsive genes in Arabidopsis thaliana. AtMKK1 and AtMKK3 are involved in the plant-deleterious microbial volatiles-induced defense responses. Microbial volatile compounds (mVCs) are a collection of volatile metabolites from microorganisms with biological effects on all living organisms. mVCs function as gaseous modulators of plant growth and plant health. In this study, the defense events induced by plant-deleterious mVCs were investigated. Enterobacter aerogenes VCs lead to growth inhibition and immune responses in Arabidopsis thaliana. E. aerogenes VCs negatively regulate auxin response and transport gene expression in the root tip, as evidenced by decreased expression of DR5::GFP, PIN3::PIN3-GFP and PIN4::PIN4-GFP. Data from transcriptional analysis suggests that E. aerogenes VCs trigger hypoxia response, innate immune responses and metabolic processes. In addition, the transcript levels of the genes involved in the synthetic pathways of antimicrobial metabolites camalexin and coumarin are increased after the E. aerogenes VCs exposure. Moreover, we demonstrate that MKK1 serves as a regulator of camalexin biosynthesis gene expression in response to E. aerogenes VCs, while MKK3 is the regulator of coumarin biosynthesis gene expression. Additionally, MKK1 and MKK3 mediate the E. aerogenes VCs-induced callose deposition. Collectively, these studies provide molecular insights into immune responses by plant-deleterious mVCs. [ABSTRACT FROM AUTHOR]

Objective: Anesthesia was reported to be associated with lowered postoperative sleep quality in adults, but its effect on teenager was less understood. This study was conducted to explore the association between postoperative sleep quality and general anesthesia in teenagers. Methods: A prospective study was conducted. Teenagers aged from 12 to 16 years who were treated with general anesthesia and under urologic or otolaryngologic surgery were recruited. Healthy teenagers matched by sex and age (± 3 years) with the specific case were recruited as the controls. The Sleep Habits Questionnaire was applied to assess the sleep quality of the teenagers. We applied a logistic regression analysis to evaluate the association between general anesthesia in teenagers under elective surgery and poor sleep quality. Risk ratio (RR) and its corresponding 95% confidence interval (CI) were computed. Results: A total of 212 teenagers were included comprising 106 patients with general anesthesia who underwent urologic or otolaryngologic surgery and 106 healthy controls. The male participants were accounting for 47.2% (100/212). Anesthesia duration and surgery duration in the patients were 103.7 ± 14.4 min and 162.1 ± 17.0 min, respectively. Positive associations between general anesthesia and poor sleep quality in the 1st, 3rd, and 7th postoperative days were found, and RRs and their corresponding 95%CIs were 4.87 (1.72–13.79), 3.33 (1.22–9.1), and 3.26 (1.07–9.93), respectively. However, there was a lack of statistical associations before surgery and after 14 postoperative days. Conclusions: Teenagers who were treated with general anesthesia and under urologic or otolaryngologic surgery might have poor sleep quality within 7 postoperative days. [ABSTRACT FROM AUTHOR]

Treating hazardous waste Ni from the electroplating industry is mandated world-wide, is exceptionally expensive, and carries a very high CO2 footprint. Rather than regarding Ni as a disposable waste, the chemicals and petrochemicals industries could instead consider it a huge resource. In the work described herein, we present a strategy for upcycling waste Ni from electroplating wastewater into a photothermal catalyst for converting CO2 to CO. Specifically, magnetic nanoparticles encapsulated in amine functionalized porous SiO2, is demonstrated to efficiently scavenge Ni from electroplating wastewater for utilization in photothermal CO2 catalysis. The core-shell catalyst architecture produces CO at a rate of 1.9 mol·gNi−1·h−1 (44.1 mmol·gcat−1·h−1), a selectivity close to 100%, and notable long-term stability. This strategy of upcycling metal waste into functional, catalytic materials offers a multi-pronged approach for clean and renewable energy technologies. The valorization of undesirable substrates offers a two-fold strategy for pollution remediation and renewable energy conversion. Here, authors demonstrate the scavenging of Ni from electroplating wastewater and subsequent utilization as materials for photothermal CO2 reduction. [ABSTRACT FROM AUTHOR]

Cosmological N-body simulation is associated with hyper-scale and high-resolution computing, and time will increase exponentially as the scale increases, which is always the most important issue that needs to be considered in N-body problems. With the increasing computing scale demand, high-performance computing systems and effective parallel algorithms have been applied to solve the N-body problem. PHotoNs-2, a parallel N-body simulation code designed for Lambda cold dark matter modelled simulation, was developed using the hybrid fast multipole method and particle-mesh method. In this study, PHotoNs-2 is migrated on a parallel heterogeneous CPU+Accelerator platform, which is referred to as PhotoNs-MA, and challenges are imposed on its performance by the massive data transmission, memory access, and complex mathematical functions. In this paper, the main optimizations for the kernel functions of short-range force calculations on the SIMT architecture are listed as follows: transmission of large amounts of data using page-locked memory and the structure of array to improve the efficiency of memory access, the transmission of index lists instead of particle interaction lists to reduce the transfer overhead, and using the interpolation method to replace the modified formula for interaction forces. Finally, compared with PHotoNs-2 run on 4 CPU cores, the optimized PHotoNs-MA on 4 accelerators accelerates the P2P operator 1000x times. We compared the results with Gadget-2 run on 64 CPU cores, and the overall performance is improved by 6 times for 4 accelerators. As for large-scale simulations, near-linear scalability is observed in P2P, and the parallel efficiency ultimately reaching 89.28%. [ABSTRACT FROM AUTHOR]

Whether antibiotics should be included remains greatly debated in Masquelet technique. This study intended to determine the effect of polymethyl methacrylate (PMMA) spacer loaded with different vancomycin concentrations on bone defect repair. Hollow cylindrical spacers consisting of PMMA and varying vancomycin concentrations (0, 1, 2, 4, 6, 8, and 10 g) were prepared. Critical bone defects of rabbits were created at the radial shaft, and spacers were implanted and subsequently intramedullary fixed with retrograde Kirschner's wires (n = 4 for each vancomycin concentration). After 4 weeks, the induced membranes were opened and cancellous allografts were implanted into the defects. Eight weeks post-operatively, the results of X-ray, histology, and micro-CT revealed that some cortical bone was formed to bridge the gap and the bone marrow cavity was formed over time. Quantitatively, there was more new bone formation in the groups with a relatively lower vancomycin concentration (1–4 g) compared with that in the groups with a higher vancomycin concentration (6–10 g). Our findings suggested that PMMA spacers loaded with relatively lower vancomycin concentrations (1–4 g) did not interfere with new bone formation, whereas spacers loaded with relatively higher vancomycin concentrations (6–10 g) had negative effects on bone formation. [ABSTRACT FROM AUTHOR]

Previous studies have paid special attention to the relationship between local features (e.g., raised dots) and human roughness perception. However, the relationship between global features (e.g., curved surface) and haptic roughness perception is still unclear. In the present study, a series of roughness estimation experiments was performed to investigate how global features affect human roughness perception. In each experiment, participants were asked to estimate the roughness of a series of haptic stimuli that combined local features (raised dots) and global features (sinusoidal-like curves). Experiments were designed to reveal whether global features changed their haptic roughness estimation. Furthermore, the present study tested whether the exploration method (direct, indirect, and static) changed haptic roughness estimations and examined the contribution of global features to roughness estimations. The results showed that sinusoidal-like curved surfaces with small periods were perceived to be rougher than those with large periods, while the direction of finger movement and indirect exploration did not change this phenomenon. Furthermore, the influence of global features on roughness was modulated by local features, regardless of whether raised-dot surfaces or smooth surfaces were used. Taken together, these findings suggested that an object's global features contribute to haptic roughness perceptions, while local features change the weight of the contribution that global features make to haptic roughness perceptions. [ABSTRACT FROM AUTHOR]

Presently, Supervisory Control and Data Acquisition (SCADA) systems are broadly adopted in remote monitoring large-scale production systems and modern power grids. However, SCADA systems are continuously exposed to various heterogeneous cyberattacks, making the detection task using the conventional intrusion detection systems (IDSs) very challenging. Furthermore, conventional security solutions, such as firewalls, and antivirus software, are not appropriate for fully protecting SCADA systems because they have distinct specifications. Thus, accurately detecting cyber-attacks in critical SCADA systems is undoubtedly indispensable to enhance their resilience, ensure safe operations, and avoid costly maintenance. The overarching goal of this paper is to detect malicious intrusions that already detoured traditional IDS and firewalls. In this paper, a stacked deep learning method is introduced to identify malicious attacks targeting SCADA systems. Specifically, we investigate the feasibility of a deep learning approach for intrusion detection in SCADA systems. Real data sets from two laboratory-scale SCADA systems, a two-line three-bus power transmission system and a gas pipeline are used to evaluate the proposed method's performance. The results of this investigation show the satisfying detection performance of the proposed stacked deep learning approach. This study also showed that the proposed approach outperformed the standalone deep learning models and the state-of-the-art algorithms, including Nearest neighbor, Random forests, Naive Bayes, Adaboost, Support Vector Machine, and oneR. Besides detecting the malicious attacks, we also investigate the feature importance of the cyber-attacks detection process using the Random Forest procedure, which helps design more parsimonious models. [ABSTRACT FROM AUTHOR]

Prevailing lake changes on the Qinghai–Tibetan Plateau (QTP) have occurred. Selin Co, a representative saline lake in the central region of the QTP, has had the largest increase and become the largest endorheic lake in Tibet, but the main cause for its dramatic expansion is still under debate. Based on Landsat images, meteorological data and glacier and permafrost data, the dynamic changes in Selin Co and its surrounding small lakes were systematically discussed, and the driving factors behind these changes were further explored. The results suggest that during 1988–2017, the areas of Bange Co and Cuoe Lake showed slow, overall increasing trends at the rates of 0.28 km2/year and 0.11 km2/year, respectively, and upward trends before 2005 but downward trends afterward. The area of Selin Co substantially increased by 685.8 km2 with a growth rate of 30.39 km2/year, with a slow increase of 27.11 km2 during the period of 1988–1997, a rapid increase of 510.53 km2 during 1997–2005 and an increase of 148.16 km2 during 2005–2017. Accordingly, the lake level and water volume of Bange Co slightly increased by 1.64 m and 0.088 km3, respectively, whereas those of Selin Co significantly rose by 8.138 m and 17.47 km3, respectively. The changes in the areas of Bange Co and Cuoe Lake were mostly related to annual precipitation (AP). The expansion of Selin Co may be partly explained as the discharge from the glacier retreat and permafrost degradation in the watershed. Glacial meltwater has enhanced owing to rising, with a rapid reduction of 165.1 km2 (39%) in the glacier area in the basin between 1980 and 2010. Permafrost degradation has significantly accelerated, with increases in the active layer thickness (ALT) (7.44 cm/year) and soil temperatures at a 15-m depth (0.0346 °C/year). [ABSTRACT FROM AUTHOR]

Understanding the role of chemotaxis in ecological interactions between plants and microbes in the rhizosphere is necessary to optimize biocontrol strategies targeting plant soil-borne diseases. Therefore, we examined and profiled the antagonistic endophytic bacteria (AEB) population with chemotaxis potential in the medicinal plant Panax notoginseng using a cheA gene-based approach coupled with 16S rRNA sequencing. Phylogenetic analysis of the chemotactic AEB (CAEB) community in P. notoginseng enabled the identification of 56 CAEB strains affiliated with 30 species of Actinobacteria, Firmicutes, and Proteobacteria; Firmicutes, especially Bacillus, were predominant. We then systematically quantified the chemotactic response profiles of CAEB toward five organic acid (OA) attractants: citric acid, fumaric acid (FA), malic acid, oxalic acid, and succinic acid. Further hierarchical cluster analysis revealed that the chemotaxis of CAEB to the same attractant exhibited different patterns among not only genera but also species and even strains of the same species. Following chemotaxis and hierarchical analysis, we selected the strongest chemoattractant, fumaric acid (FA), as the target for evaluating the effects of OAs on the representative CAEB strain Bacillus amyloliquefaciens subsp. plantarum YP1. Application of FA significantly stimulated the chemotaxis ability and growth of YP1, and increased the transcript levels of cheA and biocontrol-related genes in YP1. This is the first study to characterise the diversity of chemotaxis profiles toward OAs in natural bacterial assemblages of P. notoginseng and to highlight how FA promotes the biocontrol-related traits of P. notoginseng-associated CAEB. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Central South University is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Central South University is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Polyvinyl alcohol (PVA) hydrogel has gained interest in cartilage repair because of its highly swollen, porosity, and viscoelastic properties. However, PVA has some deficiencies, such as its poor biocompatibility and microstructure. This research aimed to design novel hydroxyapatite (HA)-collagen (COL)-PVA hydrogels. COL was added to improve cell biocompatibility, and the microstructure of the hydrogels was controlled by fused deposition modeling (FDM). The feasibility of the COL-HA-PVA hydrogels in cartilage repair was evaluated by in vitro and in vivo experiments. The scanning electron microscopy results showed that the hybrid hydrogels had interconnected macropore structures that contained a COL reticular scaffold. The diameter of the macropore was 1.08–1.85 mm, which corresponds to the diameter of the denatured PVA column. The chondrocytes were then seeded in hydrogels to assess the cell viability and formation of the cartilage matrix. The in vitro results revealed excellent cellular biocompatibility. Osteochondral defects (8 mm in diameter and 8 mm in depth) were created in the femoral trochlear of goats, and the defects were implanted with cell-seeded hydrogels, cell-free hydrogels, or a blank control. The in vivo results showed that the COL-HA-PVA hydrogels effectively repaired cartilage defects, especially the conditions inoculated with chondrocyte in advance. This research suggests that the COL-HA-PVA hydrogels have promising application in cartilage repair. [ABSTRACT FROM AUTHOR]

A many-core parallel approach of the multilevel fast multipole algorithm (MLFMA) based on the Athread parallel programming model is presented on the homegrown many-core SW26010 CPU of China. In the proposed many-core implementation of MLFMA, the data access efficiency is improved by using data structures based on the structure of array. The adaptive workload distribution strategies are adopted on different MLFMA tree levels to ensure full utilization of computing capability and the scratchpad memory. A double buffering scheme is specially designed to make communication overlapped computation. The resulting Athread-based many-core implementation of the MLFMA is capable of solving real-life problems with over one million unknowns with a remarkable speedup. The capability and efficiency of the proposed method are analyzed through the examples of computing scattering by spheres and a practical aerocraft. Numerical results show that with the proposed parallel scheme, the total speedup ratios from 6.4 to 8.0 can be achieved, compared with the CPU master core. [ABSTRACT FROM AUTHOR]

Objectives: Accurately predicting the WHO classification of thymomas is urgently needed to optimize individualized therapeutic strategies. We aimed to develop and validate a combined radiomics nomogram for personalized prediction of histologic subtypes in patients with thymomas. Methods: A total of 182 thymoma patients were divided into training (n = 128) and test (n = 54) cohorts. Radiomics features were extracted from T2-weighted, T2-weighted fat suppression, and diffusion-weighted images to establish a radiomics signature in the training cohort. Multivariate logistic regression analysis was used to develop a combined radiomics nomogram that incorporated clinical, conventional MR imaging variables, apparent diffusion coefficient (ADC) value, and radiomics signature. The efficacy of clinical, conventional MR imaging, or ADC model was also evaluated respectively. The performances of different models were compared by receiver operating characteristic analysis and Delong test. The discrimination, calibration, and clinical usefulness of the combined radiomics nomogram were assessed. Results: The radiomics signature, consisting of 14 features, achieved favorable predictive efficacy in differentiating low-risk from high-risk thymomas, outperforming clinical, conventional MR imaging, and ADC models. The combined radiomics nomogram incorporating tumor shape, ADC value, and radiomics signature yielded the best performance (training cohort: area under the curve [AUC] = 0.946, test cohort: AUC = 0.878). The calibration curve and decision curve analysis indicated the clinical utility of the combined radiomics nomogram. Conclusions: The radiomics signature is a useful tool that can be used to predict histologic subtypes of thymomas. The combined radiomics nomogram improved the individualized subtype prediction in patients with thymomas. Key Points: • Fourteen robust features were selected to develop a radiomics signature for preoperative prediction of thymoma subtype. • MRI-based radiomics signature can differentiate low-risk thymomas from high-risk thymomas with favorable predictive efficacy compared with clinical, conventional MR imaging, and ADC models. • Combined radiomics nomogram based on tumor shape, ADC value, and radiomics signature could improve the individualized subtype prediction in patients with thymomas. [ABSTRACT FROM AUTHOR]

To improve the industrial yield of sodium-reduced meat products, we present a feasible method by adjusting water-immersion cooling temperatures to decrease the water loss of pork sausage during processing. The present results showed that the moisture retention capacity of sodium-reduced pork sausages (SRPS) cooled by the temperatures of 15–20 °C was larger than that of 0–10 °C. The higher cooling temperatures, especially at 20 °C, could change the movement and population of proton of inner water, decrease syneresis and facilitate the formation of homogenous cross-linked network, thus increasing the moisture retention of SRPS. Results of this work indicated that the control of cooling temperature of sodium-reduced sausages after cooking could serve as a feasible approach for improving the economic benefits and quality characteristics of the final products. [ABSTRACT FROM AUTHOR]

In the present study, we identified changes in protein expression patterns of grapevine buds when treated with hydrogen cyanamide (HC). HC induced a shift of more than 2-folds in the expression of 1250 proteins out of approximately 7000 detected proteins. The majority of the differentially expressed proteins (DEPs) were localized in the chloroplast (419) and cytoplasm (347). Most of the detected DEPs were linked with energy metabolism, redox activity, hormone, and stress signaling. Particularly, the DEPs associated with defense and sugar metabolism showed significantly higher expression in HC-treated buds. Kyoto encyclopedia of genes and genomes (KEGG) analysis revealed significant enrichment for circadian rhythm, ribosome, and metabolic pathways. Moreover, the antioxidant activity of peroxidase (POD) increased at initial stages but declined at later stages (18 days post-treatment). This study identified several dormancy-related proteins that regulated signaling, as well as metabolic pathways upon HC application. The outcome of this study provides insights into the role of HC in dormancy release for grapevine production, hence useful to alleviate yield losses in mild winter regions. [ABSTRACT FROM AUTHOR]

The development of novel methods for highly efficient protein purification remains a research focus in the biotechnology field because conventional purification approaches, including affinity purification, gel filtration, and ion-exchange chromatography, require complex manipulation steps and are costly. Here, we describe a simple and rapid protein purification strategy in which the SUMO tag and Ulp1 protease are surface-displayed separately on Escherichia coli cells. After protein induction, the cells are harvested, resuspended in cleavage buffer, and incubated together for cleavage. In this approach, the surface-displayed Ulp1 cleaves the membrane-anchored SUMO fusion protein, resulting in the release of the target protein from the C-terminal of SUMO into the solution. The bacterial cells harboring SUMO and Ulp1 on their surfaces can be easily removed by centrifugation. To evaluate the purification method, we used red fluorescent protein (mCherry). Purified mCherry protein (7.72 ± 1.05 mg from 1 L of bacterial culture) was obtained after only 30 min of incubation. The protein purity was higher than 80%, and could be further improved (> 90%) by simple ultrafiltration. This study offers a promising and simple strategy for the purification of recombinant protein in its native form that requires only cleavage and centrifugation steps. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Zhejiang University: Science B is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Probiotics are intended to provide health benefits when consumed, generally by improving or restoring the gut flora. The health problems of forest musk deer (FMD, Moschus berezovskii), a threatened species currently under conservation, restrict the development of captive musk deer. This study was conducted with the aim of analyzing the effects of forest musk deer compound probiotics (FMDPs) on weight, immunity performance and fecal microbiota in FMD by measuring average daily weight gain (ADG) and immune-related factors and by using high-throughput 16S rRNA sequencing to investigate differences in the fecal microbiota among the control group (4 samples), treatment group A (4 samples) and treatment group B (4 samples). The results showed that the ADG of treatment groups A and B was significantly higher than that of the control group (p = 0.032, p = 0.018). The increase in IgA and IgG levels in treatment group B was significantly higher than that in the control group (p = 0.02, p = 0.011). At the phylum and genus levels, the difference in bacterial community structure was significant between treatment group B and the control group. Both the alpha diversity and beta diversity results showed significant differences in the microbiota of FMD before and after FMDP feeding. In summary, the results indicated that FMDPs could promote the growth of growing FMD, improve immunity and balance the role of intestinal microbes. [ABSTRACT FROM AUTHOR]

The exploitation of underground resources can lead to overburden deformation and destruction, surface subsidence with fissure development. In order to reveal the evolution laws of land damage in mining process, the paper used resistivity imaging technology to test the spatio-temporal evolution of surface soil cracks caused by underground mining. Access to land under the influence of mining damage evolution process of the whole cross-section resistivity data volume. Grasp the spatio-temporal evolution of electrical resistivity at overlying geotechnical and surface fissures during the entire mining process. The results show that: With the advance of working face, dynamic cracks in mining appear one or more "cracking–closing" processes. Dynamic fissures always develop ahead of the current working location, advance angle of break is approach to vertical angle. It indicates that dynamic fissures have fast "selfhealing" features and manual repairmen might not be necessary. Electrical resistivity imaging technology is sensitive to the change of soil micro structure. The development and failure depth of cracks in layered soil can be accurately reflected. At the same time, the deformation and failure of overlying surrounding rock caused by mining influence can also be obtained through this monitoring method. The electrical data monitoring results are basically consistent with the results obtained by actual close-range photography technology, indicating that it is feasible to use the resistivity imaging technology to monitor the evolution law of land damage caused by mining of working face. This achievement and understanding can provide technical support for the study of land ecological damage caused by coal mining. [ABSTRACT FROM AUTHOR]

Magnetic effervescent tablet-based (MEFTs) microextraction has recently gained much attention because it requires no physical energy inputs or dispersive solvent. A prominent shortcoming of MEFTs results from the short tablet storage period owing to rapid absorption of moisture, thereby making it impracticable for field use. Physico-chemical properties of MEFTs were greatly improved by the addition of water-soluble starch, such as hygroscopicity, storage/stability period, adherence, effervescent time, and intensity. MEFTs were used in a MFe2O4-based magnetic ionic liquid effervescent tablet microextraction (MMIL-ETM) for preconcentration/extraction of trace phthalate esters (PAEs) in milk matrices. This MMIL-ETM method provided three distinct advantages: (1) MEFTs integrate water-soluble starch as a functional filler, leading to longer tablet storage/stability; (2) combined effervescent dispersion and rapid retrieval of NiFe2O4 magnetic nanoparticles (MNPs) result in substantial time saving; and (3) integration of ionic liquid-based extraction with MNP adsorption produces high PAEs extraction recoveries. Optimized experimental parameters were as follows: 0.77 g mixture of Na2CO3 and water-soluble starch, 7 mg NiFe2O4 (30 nm), 50 μL [HMIM]NTf2, solution pH 2.3, and 300 μL acetonitrile as elution solvent. Under optimized conditions, extraction recoveries for four PAEs reached as high as 94.8–105.6%, LODs were as low as 0.042 μg L−1, and RSDs were < 5.4% for intra- and inter-day precisions. Due to the longer stable storage period and rapid dispersion without additional physical energy inputs, the proposed MMIL-ETM method shows great potential application for routine food monitoring under field conditions. [ABSTRACT FROM AUTHOR]

Although a variety of whole-cell biosensors and biosorbents have been developed for detection and removal of heavy metal contaminants, few whole cells can be applied to both monitoring and remediation of copper pollution in water. In this study, a modified plasmid was constructed by incorporating a copper-sensing element and a copper-adsorbing element into a temperature-inducible plasmid, pBV220. This plasmid was subsequently transformed into an engineered Escherichia coli strain lacking copA and cueO. This dual-functional E. coli cell selectively responded to copper ions with a linear detection range of 0.01–25 μM at 37 °C and could express surface-displayed CueR when treated at 42 °C without any costly chemical inducers. The display of CueR on the cell surface specifically enhanced its copper adsorption capacity and rapidly removed copper ions from aqueous solutions. In addition, the CueR surface-displayed cells could be regenerated by adsorption-desorption cycles via pH regulation. Moreover, by simply using two different temperatures, the detection or adsorption of copper using this dual-functional whole cell was achieved without any cross-interference. Most importantly, it provided highly sensitive, accurate quantification, and effective removal of copper in real environmental water samples. Thus, this E. coli cell can be used for large-scale detection and remediation of copper pollutants. [ABSTRACT FROM AUTHOR]

Nanocubes derived from pure In2O3 and xPr-In2O3 (x = 1, 2, 3 and 5 mol.%) were synthesized using a facile hydrothermal method, followed by calcination. The morphological and structural characterization demonstrated that as-synthesized samples presented regular cubes that decreased in size with the increase of the Pr doping. The data showed that the sensing performances of sensors based on In2O3 were notably improved after the Pr doping. Among them, the sensor based on 2 mol.% Pr-In2O3 had the best sensing performance towards the triethylamine (TEA) gas, including a high response (Ra/Rg = 260 to 100 ppm TEA gas, which is about 12 times higher than that of the sensor based on pure In2O3), a short response time (2 s), and a low detection limit (0.2 ppm) at 350 °C. The mechanism responsible for the enhancement of sensing performance was attributed to the improvement of the vacancy content of 2 mol.% Pr-In2O3, which promoted the oxidation–reduction reaction with the TEA gas that occurred on the materials surface. [ABSTRACT FROM AUTHOR]

Zonag, Kusai, Hedin Noel and Yanhu Lakes are independent inland lakes in the Hoh Xil region on the Qinghai-Tibet Plateau. In September 2011, Zonag Lake burst after the water level had increased for many years. Floods flowed through Kusai and Hedin Noel Lakes into Yanhu Lake; since then, the four small endorheic catchments merged into one larger catchment. This hydrological process caused the rapid shrinkage of Zonag Lake and continuous expansion of Yanhu Lake. In this study, based on satellite images, meteorological data and field investigations, we examined the dynamic changes in the four lakes and analyzed the influencing factors. The results showed that before 2011, the trends in the four lake areas were similar and displayed several stages. The change in the area of Zonag Lake corresponded well to the change in annual precipitation (AP), but the magnitude of the change was less than that of a non-glacier-fed lake. Although increased precipitation was the dominant factor that caused Zonag Lake to expand, increased glacier melting and permafrost thawing due to climate warming also had significant effects. After the 2011 outburst of Zonag Lake, due to the increasing AP and accelerating glacier melting, the increases in water volume of the three lakes were absorbed by Yanhu Lake, and Yanhu Lake expanded considerably. According to the rapid growth rates in water level and lake area, Yanhu Lake is likely to burst in 1–2 years. [ABSTRACT FROM AUTHOR]

Purpose: To evaluate the diagnostic potential of DW-MRI relative parameters for differentiation of rectal cancers with different Kirsten rat sarcoma viral oncogene homologue (KRAS) mutation status.Methods: Fifty-one patients with rectal cancer underwent diffusion-weighted MR imaging with eight b values. ADCs (including Max-ADC, Min-ADC and Mean-ADC) and IVIM parameters (D, pure diffusion; f, perfusion fraction; D*, pseudodiffusion coefficient) were respectively calculated by mono- and bi-exponential analysis. Patients were stratified into two groups: KRAS wild type and mutant. The DW-MRI-derived parameters between the KRAS wild-type group and KRAS mutant group were compared using the Mann-Whitney U test. Receiver-operating characteristic (ROC) analysis of discrimination between KRAS wild-type and KRAS mutant rectal cancer was performed for the DW-MRI-derived parameters.Results: Max-ADC, Mean-ADC and D values were significantly lower in the KRAS mutant group than in the KRAS wild-type group, whereas a higher D* value was demonstrated in the KRAS mutant group. According to the ROC curve, Mean-ADC and D* values showed moderate diagnostic significance with the AUC values of 0.756 and 0.710, respectively. The cut-off values for Mean-ADC and D* were 1.43 × 10-3mm2/s and 26.58 × 10-3mm2/s, respectively.Conclusion: Rectal cancers had distinctive diffusion/perfusion characteristics in different KRAS mutation statuses. The DW-MRI-derived parameters, specifically Mean-ADC and D*, show a moderate diagnostic significance for KRAS status.Key Points: • Rectal cancers with different KRAS mutation statuses demonstrated distinctive diffusion/perfusion characteristics. • Max-ADC, Mean-ADC and D values were lower in the KRAS mutant group. • A higher D* value was demonstrated in the KRAS mutant group. • IVIM-DW MRI may potentially help preoperative KRAS mutant status prediction. [ABSTRACT FROM AUTHOR]

Hexagonal boron nitride as a natural hyperbolic material has attracted lots of attention recently. Here, we investigate numerically the optical spectrum properties of hexagonal boron nitride from the perspective of optical transition. After careful data analysis, hexagonal boron nitride at the epsilon-near-zero point of permittivity either turns from a hyperbolic material to an effective dielectric for transverse magnetic-polarized wave or from an effective metal to an effective dielectric for transverse electric-polarized wave. The results in this work may pave the way for potential applications of hexagonal boron nitride in the field of metamaterials. [ABSTRACT FROM AUTHOR]

Schizochytrium sp. accumulates valuable polyunsaturated fatty acid (PUFA), such as docosahexaenoic acid (DHA). In order to increase DHA synthesis in this microorganism, physical or chemical mutagenesis aided with powerful screening methods are still preferable, as its DHA synthetic pathway has not yet been clearly defined for gene manipulation. To breed this agglomerate microorganism of thick cell wall and rather large genome for increasing lipid content and DHA percentage, a novel strategy of atmospheric and room temperature plasma (ARTP) mutagenesis coupled with stepped malonic acid (MA) and zeocin resistance screening was developed. The final resulted mutant strain mz-17 was selected with 1.8-fold increased DHA production. Accompanied with supplementation of Fe2+ in shake flask cultivation, DHA production of 14.0 g/L on average was achieved. This work suggests that ARTP mutation combined with stepped MA and zeocin resistance screening is an efficient method of breeding Schizochytrium sp. of high DHA production, and might be applied on other microorganisms for obtaining higher desired PUFA products. [ABSTRACT FROM AUTHOR]

The purpose of the present paper is to establish some new retarded weakly singular integral inequalities of Gronwall-Bellman type for discontinuous functions, which generalize some known weakly singular and impulsive integral inequalities. The inequalities given here can be used in the analysis of the qualitative properties of certain classes of singular differential equations and singular impulsive equations. [ABSTRACT FROM AUTHOR]

A gyrB gene is present in the majority of bacterial species, and encodes the ATPase domain of DNA gyraseB-subunit protein, which is essential for transcription and replication of bacteria. The gyrB gene exhibits higher nucleotide sequence variability than the 16S rDNA gene and thus could be more reliable in differentiating Serratia fonticola. A species-specific primer pair and probe were designed for quantitative real-time PCR detection of S. fonticola using gyrB as the target gene. Nine members of the Serratia family (representing nine Serratia species) were chosen to verify the specificity of the primers. Additionally, two species each of Salmonella and Klebsiella, and five other species belonging to five other genera of Enterobacteriaceae, were tested for primer cross-reaction. All the tested strains gave negative results. The limit of detection for S. fonticola using the gyrB gene was 100 copies per PCR reaction. This TaqMan PCR assay provided a specific, rapid, and sensitive method to detect S. fonticola based on its gyrB gene. [ABSTRACT FROM AUTHOR]

Objective: To analyze the outcomes of a magnesium alloy covered stent (MACS) for a lateral aneurysm model in common carotid artery (CCA).Methods: In 32 rabbits, a MACS (group A, n = 17) or a Willis covered stent (WCS; group B, n = 15) was inserted and the rabbits were sacrificed 1, 3, 6, or 12 months after stenting. Angiography and intravascular ultrasound (IVUS) were performed at 3, 6, and 12 months. Scanning electron microscopy was performed for six stents in each group at 1, 3, and 6 months, and histopathology and histomorphology were conducted at 3 (n = 4), 6 (n = 4), and 12 (n = 12) months.Results: Final angiography showed complete occlusion of the aneurysms in 12 cases. IVUS at 6 and 12 months revealed a significant increase in mean lumen area of the stented CCA in group A and also showed greater mean lumen area in group A than in group B. The endothelialization process was quicker in group A than in group B.Conclusion: MACS is effective for occlusion of lateral aneurysms and is superior to WCS in growth of the stented CCA and endothelialization. Further work is needed to make this device available for human use.Key Points: • The MACS is an effective approach for occlusion of a lateral aneurysm. • IVUS showed that the CCA could grow following degradation of the MACS. • The lumen area of the stented CCA was excellent in MACS. • HE staining displayed the degradation of the magnesium alloy stent. • Combination of IVUS and DSA were applied in this study. [ABSTRACT FROM AUTHOR]

Purpose: Magnetic resonance angiography (MRA) is an important diagnosis method for the detection of intracranial aneurysms (IAs), but it is not useful for differentiating between IA and infundibular dilatation (ID) in patients in whom imaging shows an intracranial protrusion with a branch artery at its top. The objective of this study was to introduce a new approach-measurement of the outflow angle (OA)-for differentiating between IA and ID in such cases. Methods: The study included 7 patients with a total of 9 protrusions. The protrusions were separately reviewed on MRA and DSA images. We first diagnosed the protrusions using OA approach. An OA ≥90° was considered indicative of an IA and an OA <90° was considered indicative of an ID. The diagnosis by the OA method was compared with diagnosis by the gold standard-DSA. Results: Among the 9 intracranial protrusions, 5 were IAs and 4 were IDs. The OAs of 5 IAs were all ≥90°; the average OA of the 5 IAs was 115.20°. The OAs of the 4 IDs were all <90°; the average OA of the 4 IDs was 59.50°. The diagnosis results by the OA method were in agreement with DSA diagnosis in all cases. Conclusion: The OA method can discriminate between IA and ID in patients in whom imaging shows an intracranial protrusion with a branch artery at its top. The method is simple and convenient, and can be easily applied in clinical practice. It can be especially useful for novice neuroradiologists. [ABSTRACT FROM AUTHOR]

The photovoltaic performance of dye-sensitized solar cells (DSSCs) is enhanced by modifying the binary room temperature ionic liquid (RTIL) electrolyte with additives and iodine. The average photoelectric conversion efficiency ( PCE) of 6.39% is achieved. Through electrochemical impedance spectroscopy (EIS), cyclic voltammetry scans and incident photon-to-current conversion efficiency ( IPCE) data, the working principles are analyzed. The enhancement is mainly attributed to the improvement of short circuit current which is caused by the reduction of overall internal resistance of the devices. Durability tests are measured at room temperature, and the long-term stability performance can be maintained. [ABSTRACT FROM AUTHOR]

The application of wavelength variable selection before partial least squares (PLS) regression to rapidly discriminate the adulteration of apple juice by Fourier transform near-infrared (FT-NIR) was investigated in this study. Successive projections algorithm (SPA) combined with four swarm intelligence optimization algorithms, including genetic algorithm (GA), particle swarm optimization (PSO), group search optimizer (GSO), and firefly algorithm (FA), was applied to extract effective wavelength variables. The results demonstrated that the variable number of SPA-PSO-PLS models was validly improved with a wavelength variable of four. The accuracy of model was satisfactory with the coefficients of determination of prediction ( R = 0.9986) and good root mean square errors of prediction (RMSEP = 0.0628). The results suggested that SPA combined with swarm intelligence optimization algorithms for wavelength variable selection could rapidly and efficiently discriminate the adulteration of apple juice. [ABSTRACT FROM AUTHOR]

Schwann cells (SCs) are unique glial cells in the peripheral nerve and may secrete multiple neurotrophic factors, adhesion molecules, extracellular matrix molecules to form the microenvironment of peripheral nerve regeneration, guiding and supporting nerve proliferation and migration. Cdc42 plays an important regulatory role in dynamic changes of the cytoskeleton. However, there is a little study referred to regulation and mechanism of Cdc42 on glial cells after peripheral nerve injury. The present study investigated the role of Cdc42 in the proliferation and migration of SCs after sciatic nerve injury. Cdc42 expression was tested, showing that the mRNA and protein expression levels of Cdc42 were significantly up-regulated after sciatic nerve injury. Then, we isolated and purified SCs from injuried sciatic nerve at day 7. The purified SCs were transfected with Cdc42 siRNA and pcDNA3.1-Cdc42, and the cell proliferation, cell cycle and migration were assessed. The results implied that Cdc42 siRNA remarkably inhibited Schwann cell proliferation and migration, and resulted in S phase arrest. While pcDNA3.1-Cdc42 showed a contrary effect. Besides, we also observed that Cdc42 siRNA down-regulated the protein expression of β-catenin, Cyclin D1, c-myc and p-p38, which were up-regulated by pcDNA3.1-Cdc42. Meanwhile, the inhibitor of Wnt/β-catenin and p38 MAPK signaling pathway IWP-2 and SB203580 significantly inhibited the effect of pcDNA3.1-Cdc42 on cell proliferation and migration. Overall, our data indicate that Cdc42 regulates Schwann cell proliferation and migration through Wnt/β-catenin and p38 MAPK signaling pathway after sciatic nerve injury, which provides further insights into the therapy of the sciatic nerve injury. [ABSTRACT FROM AUTHOR]

In this paper, we consider the issue of variable selection in partial linear single-index models under the assumption that the vector of regression coefficients is sparse. We apply penalized spline to estimate the nonparametric function and SCAD penalty to achieve sparse estimates of regression parameters in both the linear and single-index parts of the model. Under some mild conditions, it is shown that the penalized estimators have oracle property, in the sense that it is asymptotically normal with the same mean and covariance that they would have if zero coefficients are known in advance. Our model owns a least square representation, therefore standard least square programming algorithms can be implemented without extra programming efforts. In the meantime, parametric estimation, variable selection and nonparametric estimation can be realized in one step, which incredibly increases computational stability. The finite sample performance of the penalized estimators is evaluated through Monte Carlo studies and illustrated with a real data set. [ABSTRACT FROM AUTHOR]