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To mitigate risks caused by distracted and fatigued driving, timely and accurate detection of these behaviors is of significance for safety concern. Among the state of the art of detection methods based on in-car image analysis, the interaction of multiple distracted and fatigued driving behaviors could make the certain behavior targeted detection ineffective and unreliable, while the complicated neural network based detection methods could be poor in interpretability and feasibility of hardware implementation. This paper proposes a novel cooperative detection method for distracted and fatigued driving behaviors, with overall consideration of method performance, operation complexity and practical hardware implementation. The vital points for detection of hand-held calling, looking left/right continuously, yawning, eye closure and the cooperative relation among different behaviors are investigated. Experiment cases on the established dataset which involves indoor driving simulation images and actual cockpit driving scenario images of different drivers under various illuminations and background settings are conducted. On the established Di_Fa_C_Tes dataset, the proposed method achieves above 98% detection precision and 37fps processing speed for the tested behaviors by support vector machine (SVM) on PC platform. Additionally, the paper provides a hardware evaluation of the proposed method on i.MX 8QuadMax platform and reaches above 96.8% precision and 16fps processing speed. The experimental results indicate the effectiveness of the proposed method in accurate and fast detection of distracted and fatigued driving behaviors and the promising embedded system application.

Background The pathological diagnosis and follow-up analysis of gastric mucosal biopsy have been paid much attention, and some scholars have proposed the pathological diagnosis of 12 kinds of lesions and accompanying pathological diagnosis, which is of great significance for the treatment of precision gastric diseases, the improvement of the early diagnosis rate of gastric cancer, and the reduction of missed diagnosis rate and misdiagnosis rate. Aim To perform a histopathological classification and follow-up analysis of chronic atrophic gastritis (CAG). Methods A total of 2248 CAG tissue samples were collected, and data of their clinical characteristics were also gathered. Based on these samples, the expression levels of Mucin 1 (MUC1), MUC2, MUC5AC, and MUC6 in CAG tissue were tested by immunohistochemical assay. Moreover, we followed these patients for up to four years. The difference between different stages of gastroscopic biopsy was observed. Results Through observation, it is believed that CAG should be divided into four types, simple type, hyperplasia type, intestinal metaplasia (IM) type, and intraepithelial neoplasia (IEN) type. Simple CAG accounted for 9.1% (205/2248), which was more common in elderly people over 60 years old. The main change was that the lamina propria glands were reduced in size and number. Hyperplastic CAG accounted for 29.1% (654/2248), mostly occurring between 40 and 60 years old. The main change was that the lamina propria glands were atrophy accompanied by glandular hyperplasia and slight expansion of the glands. IM CAG accounted for 50.4% (1132/2248), most of which increased with age, and were more common in those over 50 years. The atrophy of the lamina propria glands was accompanied by significant IM, and the mucus containing sialic acid or sulfate was distinguished according to the nature of the mucus. The IEN type CAG accounted for 11.4% (257/2248), which developed from the previous types, with severe gland atrophy and reduced mucus secretion, and is an important precancerous lesion. Conclusion The histological typing of CAG is convenient to understand the property of lesion, determine the follow-up time, and guide the clinical treatment.

Objective. To explore the relationship between the HER2 gene and PD-1/PD-L1 in gastric cancer and its significance. Methods. Immunohistochemistry (IHC) and fluorescence in situ hybridization (FISH) were used to detect HER2 protein expression, HER2 gene amplification, and PD-1/PD-L1 expression in 78 cases of gastric cancer. Results. The expression rate of HER2 protein was 43.6% (34/78), of which 19.4% (14/78) were HER2 3+, 14.1% (11/78) were HER2 2+, and 11.5% (9/78) were HER2 1+. The results showed that 19.2% (15/78) of samples had HER2 gene amplification, 3.8% (3/78) of samples had a HER2/CEP17 ratio P < 0.05 ). Conclusions. The combined detection of the HER2 gene and PD-1/PD-L1 in gastric cancer provides an important reference index for the prognosis of gastric cancer and the benefit of targeted antitumor drugs.

Summary Cotton fiber is an excellent model for studying plant cell elongation and cell wall biogenesis as well because they are highly polarized and use conserved polarized diffuse growth mechanism. Fiber strength is an important trait among cotton fiber qualities due to ongoing changes in spinning technology. However, the molecular mechanism of fiber strength forming is obscure. Through map-based cloning, we identified the fiber strength gene GhUBX. Increasing its expression, the fiber strength of the transgenic cotton was significantly enhanced compared to the receptor W0 and the helices number of the transgenic fiber was remarkably increased. Additionally, we proved that GhUBX regulates the fiber helical growth by degrading the GhSPL1 via the ubiquitin 26S–proteasome pathway. Taken together, we revealed the internal relationship between fiber helices and fiber stronger. It will be useful for improving the fiber quality in cotton breeding and illustrating the molecular mechanism for plant twisted growth., Graphical abstract, Highlights • Isolation of the first fiber strength gene GhUBX using map-based cloning strategy • Verification of the function of GhUBX experimentally in transgenic cotton • Link helices to the cotton fiber strength, that more helices make fiber stronger • An ubiquitin–proteasome system regulating the development of cotton fiber, Molecular biology; Plant biology; Genomics

The present study reported on the histomorphological observations and immunohistochemical features of five cases of gastric inflammatory myofibroblastic tumor (IMT). Loosely arranged fat fusiform myofibroblast-fibroblasts and diffusely or patchily distributed inflammatory cells, which formed a diverse morphological structure, were observed. In the mucous vascular structure, mucoid or collagenous areas, fibromatosis- or scar-like lesions were generally

The variety of arc fault induced by different load types makes residential series arc fault detection complicated and challengeable. This paper proposes a hybrid time and frequency analysis and fully connected neural network (HTFNN) based method to identify series ac arc fault. The HTFNN method recognizes samples state by broadly classifying them into resistive (Re) category, capacitive–inductive (CI) category, and switching (Sw) category according to the fundamental frequency components of series current. In each category, separate fully connected neural network (NN) with customized time and frequency indicators being the input is employed for fine class recognition and state identification. This method construction addresses the feature overlap among various cases by separate categories and enables suitable indicator selection within each category. Since the identification complexity in each category is cheaper than identifying all cases together, concise NNs are applied in this paper to reduce computing cost. The general accuracies of normal and arcing state identification in Re, CI, and Sw category are 99.64%, 100%, and 98.45%, respectively, based on 3950 test samples. Method comparison shows that HTFNN achieves higher detection precision at lower computational complexity for generalized load types. This paper also evaluates the feasibility of implementing the method in hardware for arc fault detection device application.

Background:To investigate the clinicopathological characteristics, immunophenotype and differential diagnosis of signet-ring cell carcinoma of gastric pit epithelium. Methods Seven cases of signet-ring cell carcinoma of gastric pit epithelium were studied by histomorphology observation, special staining, immunohistochemical staining and follow-up. Results At the initial stage, the glands proliferated and expanded, and the cells morphologically transformed into signet ring-like atypical cells and then formed clonal hyperplastic signet-ring cell carcinoma, which expanded laterally along the gastric pit, with a length of 3–6 mm. Erosion or mucosal ulcers can be formed on the surface, and the atrophy of fundus or pylorus glands leads to local depression of gastric mucosa. PAS was positive by special staining. Immunophenotype testing included MUC5AC, CKpan, CK20, CEA, villin and CDX2 with positive expression. In cytology, five cell morphologies could be seen: classic, immature, high proliferation, non-nucleus vacuole and degeneration. Three out of seven cases were accompanied by Helicobacter pylori (Hp) infection, accounting for 42.9% of the cases. Conclusion The signet-ring cell carcinoma of gastric pit epithelium originates from the proliferative region of the gastric fundus and the neck of gastric gland, which grows laterally along the gastric pit and is easy to be missed and misdiagnosed. Attention should be paid to the differential diagnosis, and the recognition level of signet-ring cell carcinoma of gastric pit epithelium should be improved.

Background To investigate the histopathological characteristics, immunophenotype and differential diagnosis of primary gastric invasive fibromatosis.Methods The clinical manifestations, histological morphology and immunophenotype of 4 cases of primary gastric invasive fibromatosis were observed and related literatures were reviewed.Results Among the 4 patients, 2 were males and 2 were females, aged 28 and 47 years, respectively. The lesions were located in the stomach in 2 cases, the gastric antrum in 1 case and cardia in 1 case. Under the microscope, the tumor was located in the submucosa, growing infiltratingly, and infiltrating into the gastric wall muscularis, serous membrane and extraserous fatty tissue. Tumor cells were rich in cytoplasm, with unclear cell boundaries, long rod-shaped nuclei, deep chromatin, no atypia, and rare mitotic figures. The tumor tissue was composed of proliferating spindle-shaped fibroblasts and collagen fibers, and the cell morphology was relatively uniform, arranged in parallel bundles or staggered weaves. Tumor tissue invaded and destroyed smooth muscle, blood vessels, nerve tissue and adipose tissue of the gastric wall. Immunophenotype: positive expression of vimentin, β-catenin, SMA positive expression; CKpan, EMA, S-100 protein, desmin, CD99, Bcl-2, ALK, CD34, CD117, DOG1, hormone receptors were all negative; The cell proliferation index ki-67 positive cells were 3–5%.Conclusion Primary invasive fibromatosis of the stomach is a relatively rare spindle cell tumor, which needs to be differentiated from tumors and pathological lesions such as inflammatory myofibroblastic tumor, plexiform mucinous fibroma, gastrointestinal stromal tumor, etc.

Objective To study the clinicopathological features and differential diagnosis of gastrofibromatosis-like undifferentiated carcinoma (GFLUC). Methods Three patients with GFLUC underwent histological and immunophenotypic analyses and fluorescence in situ hybridization to detect human epidermal growth factor receptor ( HER2) gene amplification. Results Among the three patients (2 male [36 and 44 years old], 1 female [58 years old]), two had lesions in the gastric body and one had lesions in the gastric antrum. Histological analysis revealed mixtures of aggressive fibromatosis and undifferentiated carcinoma in all three cases. Highly invasive fibromatous tissue, consisting of fibroblasts, proliferating myofibroblasts, and collagenous fibrous tissues, accounted for >90% of the tumor, with undifferentiated cancerous tissue accounting for Conclusions Unlike other gastric carcinomas, GFLUC shows specific histological, biological, and immunophenotypic characteristics.

This paper proposes a sparse representation and fully connected neural network (SRFCNN) methodology for residential ac series arc fault identification. The SRFCNN method captures the features of idiographic signal using sparse coding and conducts intelligent feature learning and classification through neural network (NN). The methodology is elaborately structured by a pretreatment layer, a sparse representation layer, and a decision layer. The processing procedure includes the following main steps. A set of customized bases are first designed via dictionary learning to behave as precise feature descriptors rather than choosing a fixed dictionary. The pretreated input samples are accordingly transformed into a series of sparse coefficients and then fed into the NN for recognition. Experimental results indicate that the method works well in distinguishing the signature of the arcing state from that of normal state within a certain single load type, as well as recognizing the two states of various load types (resistive, inductive, capacitive, switching, etc.) all together. The general classification accuracy of every half-cycle signal in the 10 tested classes could reach 94.3% and be probably higher. The methodology’s good generality and reliability for arc fault identification show its potential in other unsupervised signal feature recognition and fault detection.

Objective This study aims to investigate the significance of combined detection of HER2 gene amplification and chemosensitivity in gastric cancer. Methods Immunohistochemistry (IHC), fluorescence in situ hybridization (FISH) and fluorescence reverse-transcription polymerase chain reaction (RT-PCR) were used to analyze the expression of HER2 protein, HER2 gene amplification and the mRNA expression of ERCC1, TUBB3 and TYMS genes in 135 cases of gastric carcinoma. Results The expression rate of HER2 protein was 39.3% (53/135). Among these positive cases, patients with HER2 protein (3+) accounted for 9.6% (13/135), patients with HER2 protein (2+) accounted for 13.3% (18/135), and patients with HER2 protein (1+) accounted for 16.3% (22/135). The amplification rate of the HER2 gene was 35.8% (19/53). In the detection of the mRNA expression of ERCC1, TUBB3 and TYMS, 45 patients had low and moderate single gene expression, 50 patients had low and moderate double gene expression, 22 patients had low and moderate mRNA expression for ERCC1, TUBB3 and TYMS, and 18 patients had no low and moderate expression. Among the 53 patients with HER2 protein expression and 22 patients with low and moderate mRNA expression of ERCC1, TUBB3 and TYMS, 12 patients received chemotherapy and trastuzumab. Follow-up results revealed that HER2 gene status was positively correlated with the therapeutic effect of the combined treatment in patients with low mRNA expression of ERCC1, TUBB3 and TYMS. Among these patients, five patients with extensive HER2 (3+), HER2 cluster-specific amplification, and low mRNA expression of ERCC1, TUBB3 and TYMS had a total survival of up to 19.1 months. Conclusions The detection of HER2 in gastric cancer is highly heterogeneity, and the combined detection of HER2 protein expression, HER2 gene amplification and chemosensitivity can provide important reference markers for the benefit of antitumor drugs.

Purpose A multi-load available, response reliable and product-friendly method is in urgent need to diagnose the signs of incipient arcing. This paper aims to propose a novel algorithm that originates the application of correlativity analysis of wavelet high-frequency component in state discrimination and further in arcing detection. Design/methodology/approach The proposed method calculates the correlation coefficient between the extraction by wavelet transform of arcing series current and that of normal, compares it with a predefined threshold and outputs a trip signal when eight qualified arcing half cycles within a period of 0.5 s are detected. Findings Typical appliances are selected in laboratory for arc detection to test the method which carries on independently of impedance type. The algorithm could be optimized to identify arcing for different kinds of loads, including resistive, inductive, capacitive and switching power supply loads, with a same correlation coefficient threshold. Practical implications The arithmetic operations of the method are addition and multiplication, which contribute to efficient data computation and transmission for micro-processor to undertake. The reference optimal sampling rate recommended for the algorithm helps to reduce the processed data volume and shows its promising prospect for portable product development. Originality/value This proposed correlativity analysis of wavelet transform component algorithm could classify the tested signal into two categories, which benefits the discrimination of normal and fault states in condition monitoring. Laboratory tests prove that it works effectively in arc detection for the commonly used impedance types of loads and needs no offline self-learning or training of samples.

Liquid chromatograph-mass spectrometer (LC/MS) based labeled with isobaric mass tags for relative and absolute quantitation (iTRAQ) analyses were performed to identify differentially expressed proteins from normal and cancerous human colorectal tissues. Around 802 proteins were identified, 68 proteins of which were defined as differentially expressed proteins. Bioinformatics analysis indicated that these differentially expressed proteins correlated with several specific cellular processes and pathways which have relationships with pathological changes of colorectal cancer (CRC). EHD2 were selected to verify its expression patterns and localization using western blotting and immunohistochemistry respectively. LC/MS-based iTRAQ proteomic approach would provide new information about the character of CRC.

Whole-genome analysis of genetic introgressions in allotetraploid cotton. (PDF 111 kb)

A phylogenetic tree with full accession names. (PDF 180 kb)

Supplementary Figures S1â S11. (DOCX 4378 kb)

The restriction-site associated DNA sequencing (RAD-seq) is a high-throughput sequencing technique developed from the next-generation sequencing (NGS). This method can reduce the representation of the complex genome while mapping thousands of polymorphic markers with or without a reference genome. It has been extensively used for high-density genetic map construction, fine mapping of important genes, genome sequence assembly, population genomic research, as well as phylogenetic research and so on. Here, we introduce the technological principle and development of RAD-seq combined with the sequencing applications in various species. Due to its uniqueness, RAD-seq will have a wide application in genetic analysis of complex genomic research in the future.

The purpose of this study was to evaluate the antagonistic activity of two endophytic fungal strains, Pseudocercospora kaki and Penicillium sclerotiorum, isolated from the leaves of Camellia sinensis, against the rice blast pathogen Magnaporthe grisea. The inhibitory activity of the two endophytes against M. grisea in dual-culture was compared with that in monoculture. It was confirmed that the broth and its ethyl acetate extract of the dual-culture had a much stronger inhibition activity against M. grisea than the monocultures of P. kaki and P. sclerotiorum. The antagonism index of the broth and ethyl acetate extract from dual-culture to the mycelial growth of M.grisea was 78.02% ± 2.19% and 62.81% ± 2.29%, respectively, in different incubation periods. Qualitative analysis of ethyl acetate extractby GC-MS revealed that the number of bioactive compounds was greater in dual-culture than in monoculture. Compared to the ethyl acetate extract from monoculture, there were 10 constituents of bioactive compounds from dual-culture; however, there were only 6 types and 5 types from P. kaki monoculture and P. sclerotiorum monoculture, respectively. Glycerol; 4-Hydroxyphenyl ethanol; 1,2,3,4-Tetrahydroxy valeraldehyde and 1,2-Benzene-dicarboxylic acid dicyclohexyl ester were found in the ethyl acetate extracts of P. kaki, P. sclerotiorum and the dual culture. Based on the composition of the ethyl acetate extract of the dual culture of the endophytic fungi it might be possible to make a bioformulation for the biocontrol of the plant pathogen.

We aimed to analysis the HER2 gene status and its relationship with p21 protein expression in gastric carcinoma. Fluorescence in situ hybridisation (FISH) and immunohistochemistry (IHC) techniques were used to detect HER2 gene status and p53 protein in 59 cases of gastric cancer. FISH detection of HER2 gene amplification rate was 16.9% (10/59), HER2 gene amplification in 49 cases without copy number gain and gene amplification were a total of 49.2% (29/59). HER2 protein expression was 42.4% (25/59), HER2 gene amplification rates in patients with +++, ++ HER2 protein expression were 3/3 and 5/8, while in patients with + HER2 protein expression, it was 2/14, there was significant difference (P 0.05). HER2 gene amplification rate and gene copy number had positively correlation with p21 protein expression, HER2 gene status and expression of p21 protein combined detection can provide a reference value in gastric cancer metastasis, patient’s condition development and prognosis, it also can guide clinical development of individual treatment.

Objective The aim of this study was to investigate the clinicopathologic features of gastric adenoma.

AIM: To investigate human epidermal growth factor receptor 2 (HER2) amplification and protein expression in mixed gastric carcinoma. METHODS: Fluorescence in situ hybridization and immunohistochemistry were used to detect HER2 amplification and protein expression in 277 cases of mixed gastric carcinoma. Protein staining intensity was rate as 1+, 2+, or 3+. RESULTS: Of the 277 cases, 114 (41.2%) expressed HER2 protein. HER2 3+ staining was observed in 28/277 (10.1%) cases, 2+ in 37/277 (13.4%) cases, and 1+ in 49/277 (17.7%) cases. A HER2 amplification rate of 17% was detected, of which 25/28 (89.3%) were observed in the HER2 3+ staining group, 17/37 (45.9%) in 2+, and 5/49 (10.2%) in 1+. Of the 47 patients with HER2 amplification who received chemotherapy plus trastuzumab, 22 demonstrated median progression-free and overall survivals of 9.1 mo and 16.7 mo, respectively, which were significantly better than those achieved with chemotherapy alone (5.6 mo and 12.1 mo, respectively) in 19 previously treated patients (Ps < 0.05). CONCLUSION: HER2 detection in mixed gastric carcinoma displays high heterogeneity. Relatively quantitative parameters are needed for assessing the level of HER2 amplification and protein expression.

© 2015 Nature America, Inc. All rights reserved. Upland cotton is a model for polyploid crop domestication and transgenic improvement. Here we sequenced the allotetraploid Gossypium hirsutum L. acc. TM-1 genome by integrating whole-genome shotgun reads, bacterial artificial chromosome (BAC)-end sequences and genotype-by-sequencing genetic maps. We assembled and annotated 32,032 A-subgenome genes and 34,402 D-subgenome genes. Structural rearrangements, gene loss, disrupted genes and sequence divergence were more common in the A subgenome than in the D subgenome, suggesting asymmetric evolution. However, no genome-wide expression dominance was found between the subgenomes. Genomic signatures of selection and domestication are associated with positively selected genes (PSGs) for fiber improvement in the A subgenome and for stress tolerance in the D subgenome. This draft genome sequence provides a resource for engineering superior cotton lines.

Upland cotton (Gossypium hirsutum L., 2n = 52, AADD) is an allotetraploid, therefore the discovery of single nucleotide polymorphism (SNP) markers is difficult. The recent emergence of genome complexity reduction technologies based on the next-generation sequencing (NGS) platform has greatly expedited SNP discovery in crops with highly repetitive and complex genomes. Here we applied restriction-site associated DNA (RAD) sequencing technology for de novo SNP discovery in allotetraploid cotton. We identified 21,109 SNPs between the two parents and used these for genotyping of 161 recombinant inbred lines (RILs). Finally, a high dense linkage map comprising 4,153 loci over 3500-cM was developed based on the previous result. Using this map quantitative trait locus (QTLs) conferring fiber strength and Verticillium Wilt (VW) resistance were mapped to a more accurate region in comparison to the 1576-cM interval determined using the simple sequence repeat (SSR) genetic map. This suggests that the newly constructed map has more power and resolution than the previous SSR map. It will pave the way for the rapid identification of the marker-assisted selection in cotton breeding and cloning of QTL of interest traits.