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Article: Multiscale apple recognition method based on improved CenterNet.

Zhou, Han

2024 Volume 10, Issue 7, Page(s) e29035

Abstract: Traditional apple-picking robots are unable to detect apples in real-time in complex environments. In order to improve detection efficiency, a fast CenterNet apple recognition method for multiple apple targets in dense scenes is proposed. This method can ...

Abstract	Traditional apple-picking robots are unable to detect apples in real-time in complex environments. In order to improve detection efficiency, a fast CenterNet apple recognition method for multiple apple targets in dense scenes is proposed. This method can quickly and accurately identify multiple apple targets in dense scenes. The backbone network mainly consists of resnet-44 fully convolutional network, region of interest network (RPN), and region of interest (ROI). The experimental results show that the improved YoloV5 network model has a higher recognition accuracy of 94.1% and 95.8% for apple in the night environment, which improves the recognition accuracy of the occluded features and the features in the dark light, and the model is more robust in the actual data set.
Language	English
Publishing date	2024-04-02
Publishing country	England
Document type	Journal Article
ZDB-ID	2835763-2
ISSN	2405-8440
ISSN	2405-8440
DOI	10.1016/j.heliyon.2024.e29035
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Article: [Several issues in interpreting the results of metagenomic next generation sequencing of lower respiratory tract infection].

Zhou, H

Zhonghua jie he he hu xi za zhi = Zhonghua jiehe he huxi zazhi = Chinese journal of tuberculosis and respiratory diseases

2021 Volume 46, Issue 4, Page(s) 319–321

Abstract: Metagenome next generation sequencing (mNGS) is an important method for pathogen diagnosis of lower respiratory tract infection, but there are many difficulties in interpreting mNGS reports. The Expert Consensus on Clinical Interpretation Path of mNGS of ...

Abstract	Metagenome next generation sequencing (mNGS) is an important method for pathogen diagnosis of lower respiratory tract infection, but there are many difficulties in interpreting mNGS reports. The Expert Consensus on Clinical Interpretation Path of mNGS of Lower Respiratory Tract Infection, completed by Chinese Thoracic Society, provides a detailed path and guidance for report interpretation. The expert consensus covers clinical medicine, microbiology, molecular diagnosis and other aspects. On this basis, several important clinical issues need to be highlighted. First, the lower respiratory tract specimens used for mNGS must be obtained in a timely and qualified manner. Second, the correct interpretation of the mNGS report needs to be based on a full understanding of the patients and their conditions. Third, the quality of the report should be analyzed according to the main parameters in the mNGS report. Fourth, an understanding of basic microbiology knowledge is beneficial to identify valuable pathogens in the mNGS report. Fifth, other microbiological methods should be actively used during mNGS detection. Sixth, to seek the help of the team when necessary and organize multidisciplinary discussions are vital. Seventh, it is important to constantly adjust the diagnosis and treatment strategies according to the clinical treatment response to treatment and the evolution of the disease. In a word, the interpretation of mNGS results needs to refer to specimen types and sequencing parameters, to combine with the specific conditions of patients in detail, to collect a variety of microbiological test results, to carefully screen and make judgement according to the treatment effect and disease outcome, and finally to make the diagnosis. The interpretation of mNGS report also requires us to have more knowledge of microbiology, sequencing and bioinformatics analysis, and to pay more attention to the strength of the team to discriminate the truth in multidisciplinary collaboration.
MeSH term(s)	Humans ; Computational Biology ; High-Throughput Nucleotide Sequencing ; Metagenome ; Respiratory Tract Infections/diagnosis ; Sensitivity and Specificity
Language	Chinese
Publishing date	2021-01-10
Publishing country	China
Document type	English Abstract ; Journal Article
ZDB-ID	1027965-9
ISSN	1001-0939
ISSN	1001-0939
DOI	10.3760/cma.j.cn112147-20221117-00903
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Article: Treatments associated with all-cause mortality among children with primary brain and central nervous system tumors: a retrospective cohort study from the SEER database.

Zhou, Huan

Translational pediatrics

2023 Volume 12, Issue 8, Page(s) 1504–1516

Abstract: Background: Evidence on treatment modalities and survival in childhood primary brain and central nervous system (CNS) tumors remains contradictory, with previous studies often lacking sufficient patient cohort sizes to assess the differences in ... ...

Abstract	Background: Evidence on treatment modalities and survival in childhood primary brain and central nervous system (CNS) tumors remains contradictory, with previous studies often lacking sufficient patient cohort sizes to assess the differences in histological subtypes. This cohort study based on a large population investigated the effects of various treatments on the mortality of patients with different histological types of primary brain and CNS tumors from the Surveillance, Epidemiology, and End Results (SEER) database. Methods: Data of demography, primary tumor site, histology, tumor grade and treatments from all pediatric patients with primary brain and CNS tumors were extracted in this retrospective cohort. The outcomes were overall, 1-, 5-, and 10-year all-cause mortality. Multivariate Cox proportional hazards models were to explore the associations of treatment with overall, 1-, 5-, and 10-year all-cause mortality, with hazard ratios (HRs) and 95% confidence intervals (CIs). Results: Totally 10,994 children were included, with the mean age at diagnosis of 7.3 years, and the median follow-up time of 5.0 years. Of which, 2,003 (18.2%) were diffuse astrocytoma, 3,188 (29.0%) were embryonal tumors, and 3,691 (33.5%) were malignant glioma. Then 4,333 (39.41%) children died during the follow-up. For diffuse astrocytomas and malignant gliomas, patients who received all other treatments were associated with overall, 1-, 5- and 10-year all-cause mortality compared to those only received resection. Embryonal tumors patients receiving resection with radiation only and those receiving resection with both chemotherapy and radiation were associated with lower odds of overall, 1-, 5- and 10-year all-cause mortality compared to patients who only received resection. For ependymal tumors, no surgery/only biopsy with chemotherapy, resection with chemotherapy only, resection with both chemotherapy and radiation, and other treatments had increased risks of overall all-cause mortality compared with resection. The risk of 1-year all-cause mortality increased in ependymal tumors with treatment involving resection and radiation. However, resection with both chemotherapy and radiation was not significantly associated with the 1- nor 5-year all-cause mortality. Conclusions: Resection may be recommended for children with diffuse astrocytoma, ependymal tumors, and malignant glioma, while resection with radiotherapy or chemoradiation may be recommended for children with embryonal tumors.
Language	English
Publishing date	2023-08-28
Publishing country	China
Document type	Journal Article
ZDB-ID	2901309-4
ISSN	2224-4344 ; 2224-4344 ; 2224-4336
ISSN (online)	2224-4344
ISSN	2224-4344 ; 2224-4336
DOI	10.21037/tp-23-362
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Article ; Online: An improved image processing algorithm for visual characteristics in graphic design.

Zhou, Huiying

PeerJ. Computer science

2023 Volume 9, Page(s) e1372

Abstract: Drawing the clothing plan is an essential part of the clothing industry. However, the irregular shape of clothing, strong deformability and sensitivity to light make the fast and accurate realization of clothing image retrieval a very challenging problem. ...

Abstract	Drawing the clothing plan is an essential part of the clothing industry. However, the irregular shape of clothing, strong deformability and sensitivity to light make the fast and accurate realization of clothing image retrieval a very challenging problem. The successful application of the Transformer in image recognition shows the application potential of the Transformer in the image field. This article proposes an efficient and improved clothing plan based on ResNet-50. Firstly, in the feature extraction section, the ResNet-50 network structure embedded in the Transformer module is used to improve the network's receptive field range and feature extraction ability. Secondly, dense jump connections are added to the ResNet-50 upsampling process, making full use of feature extraction information at each stage, further improving the quality of the generated image. The network consists of three steps: the sketch stage, which aims to predict the color distribution of clothing and obtain watercolor images without gradients and shadows. The second is the thinning stage, which refines the watercolor image into a clothing image with light and shadow effect; The third is the optimization stage, which combines the outputs of the first two stages to optimize the generation quality further. The experimental results show that the improved network's IS and first input delay (FID) scores are 4.592 and 1.506, respectively. High-quality clothing images can be generated only by inputting line drawings and a few color points. Compared with the existing methods, the image generated by this network has excellent advantages in realism and accuracy. This method can combine various feature information of images, improve retrieval accuracy, has strong robustness and practicability, and can provide a reference for the daily work of fashion designers.
Language	English
Publishing date	2023-05-18
Publishing country	United States
Document type	Journal Article
ISSN	2376-5992
ISSN (online)	2376-5992
DOI	10.7717/peerj-cs.1372
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Article: Market expectations, learning effect and the termination of employee stock ownership plan.

Zhou, Hui

Heliyon

2023 Volume 9, Issue 3, Page(s) e14602

Abstract: Based on a sample of Employee Stock Ownership Plans announced by Chinese listed companies, this paper explores whether managers learn from the market in the decision relating to the termination of the Employee Stock Ownership Plan. Results show that: ... ...

Abstract	Based on a sample of Employee Stock Ownership Plans announced by Chinese listed companies, this paper explores whether managers learn from the market in the decision relating to the termination of the Employee Stock Ownership Plan. Results show that: Managers listen to the market and terminate Employee Stock Ownership Plans following market expectations. The more negative the market reaction to the initial announcement, the more likely management is to terminate it, and this effect is more pronounced for firms with non-overconfident managers and in lower market share rank. Moreover, the initial announcement return is reversed by the termination announcement return. When managers follow market expectations to terminate the Employee Stock Ownership Plan with a negative market reaction to the initial announcement, the market reaction to the termination is more positive. Further research finds that compared with the terminations of Employee Stock Ownership Plans that are not consistent with market expectations, the terminations that follow market expectations improve business performance more significantly.
Language	English
Publishing date	2023-03-15
Publishing country	England
Document type	Journal Article
ZDB-ID	2835763-2
ISSN	2405-8440
ISSN	2405-8440
DOI	10.1016/j.heliyon.2023.e14602
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Article ; Online: Fertility Preservation in Young Adult Patients with Rectal Cancer: A Few Things to Consider.

Zhou, Haiyang

The oncologist

2022 Volume 27, Issue 10, Page(s) e822

MeSH term(s)	Cryopreservation ; Fertility Preservation ; Humans ; Neoplasms ; Rare Diseases ; Rectal Neoplasms/therapy ; Young Adult
Language	English
Publishing date	2022-08-13
Publishing country	England
Document type	Journal Article ; Comment
ZDB-ID	1409038-7
ISSN	1549-490X ; 1083-7159
ISSN (online)	1549-490X
ISSN	1083-7159
DOI	10.1093/oncolo/oyac148
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Zs.A 4845: Show issues			Location: Je nach Verfügbarkeit (siehe Angabe bei Bestand) bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular Jg. 1995 - 2021: Lesesall (2.OG) ab Jg. 2022: Lesesaal (EG)
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Article ; Online: Design of Bifunctional Antisense Oligonucleotides for Exon Inclusion.

Zhou, Haiyan

Methods in molecular biology (Clifton, N.J.)

2022 Volume 2434, Page(s) 53–62

Abstract: Bifunctional antisense oligonucleotide (AON) is a specially designed AON to regulate pre-messenger RNA (pre-mRNA) splicing of a target gene. It is composed of two domains. The antisense domain contains sequences complementary to the target gene. The tail ...

Abstract	Bifunctional antisense oligonucleotide (AON) is a specially designed AON to regulate pre-messenger RNA (pre-mRNA) splicing of a target gene. It is composed of two domains. The antisense domain contains sequences complementary to the target gene. The tail domain includes RNA sequences that recruit RNA binding proteins which may act positively or negatively in pre-mRNA splicing. This approach can be designed as targeted oligonucleotide enhancers of splicing, named TOES, for exon inclusion; or as targeted oligonucleotide silencers of splicing, named TOSS, for exon skipping. Here, we provide detailed methods for the design of TOES for exon inclusion, using SMN2 exon 7 splicing as an example. A number of annealing sites and the tail sequences previously published are listed. We also present methodology of assessing the effects of TOES on exon inclusion in fibroblasts cultured from a SMA patient. The effects of TOES on SMN2 exon 7 splicing were validated at RNA level by PCR and quantitative real-time PCR, and at protein level by western blotting.
MeSH term(s)	Exons/genetics ; Humans ; Oligonucleotides/chemistry ; Oligonucleotides, Antisense/genetics ; Oligonucleotides, Antisense/metabolism ; RNA Splicing ; RNA-Binding Proteins/metabolism
Chemical Substances	Oligonucleotides ; Oligonucleotides, Antisense ; RNA-Binding Proteins
Language	English
Publishing date	2022-02-25
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ISSN	1940-6029
ISSN (online)	1940-6029
DOI	10.1007/978-1-0716-2010-6_3
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Article: Electrochemical Preparation of Nanocatalysts and Their Application in Electrocatalysis.

Zhou, Hao

publication RETRACTED

International journal of analytical chemistry

2022 Volume 2022, Page(s) 9884302

Abstract: In order to solve the basic problem of high-temperature sintering of molybdenum carbide restricting the efficient construction of molybdenum carbide nanostructures and the full play of hydrogen evolution performance, this article studies the preparation ... ...

Abstract	In order to solve the basic problem of high-temperature sintering of molybdenum carbide restricting the efficient construction of molybdenum carbide nanostructures and the full play of hydrogen evolution performance, this article studies the preparation of nano molybdenum carbide/boron nitrogen codoped two-dimensional carbon composite structure catalysts and the electrochemical hydrogen evolution reaction performance. Based on the self-assembly process of gelatin molecules on the surface of a two-dimensional layered boric acid crystal template, a new strategy for constructing a high-performance electrochemical hydrogen evolution reaction catalyst based on molybdenum carbide/boron nitrogen codoped two-dimensional nanocarbon composite structure (
Language	English
Publishing date	2022-08-27
Publishing country	Egypt
Document type	Journal Article ; Retracted Publication
ZDB-ID	2494714-3
ISSN	1687-8779 ; 1687-8760
ISSN (online)	1687-8779
ISSN	1687-8760
DOI	10.1155/2022/9884302
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Article ; Online: Early prediction of the failure of methotrexate treatment by Days 1-4 serum β-hCG change and 48-hour pre-treatment increment inβ-hCG.

Zhou, Huijuan

Journal of obstetrics and gynaecology : the journal of the Institute of Obstetrics and Gynaecology

2022 Volume 43, Issue 1, Page(s) 2183824

Abstract: To determine whether the change of serum β-hCG levels between Days 1 and 4 and 48-h pre-treatment increment in β-hCG can early predict treatment failure of single-dose methotrexate (MTX) in tubal ectopic pregnancies (EP), a retrospective study of 1120 ... ...

Abstract	To determine whether the change of serum β-hCG levels between Days 1 and 4 and 48-h pre-treatment increment in β-hCG can early predict treatment failure of single-dose methotrexate (MTX) in tubal ectopic pregnancies (EP), a retrospective study of 1120 ectopic pregnancies treated with a regimen of a single dose of MTX was conducted in the Department of Obstetrics and Gynaecology, Shanghai First Maternity and Infant Hospital. Treatment failure was defined by an obligation to proceed to surgery or have an additional doses of methotrexate.1350 files were reviewed, with 1120 included for final analysis
MeSH term(s)	Pregnancy ; Infant ; Humans ; Female ; Methotrexate ; Retrospective Studies ; China ; Chorionic Gonadotropin ; Pregnancy, Ectopic/drug therapy
Chemical Substances	Methotrexate (YL5FZ2Y5U1) ; Chorionic Gonadotropin
Language	English
Publishing date	2022-12-15
Publishing country	England
Document type	Journal Article
ZDB-ID	604639-3
ISSN	1364-6893 ; 0144-3615
ISSN (online)	1364-6893
ISSN	0144-3615
DOI	10.1080/01443615.2023.2183824
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Article ; Online: Design of Intelligent Diagnosis and Treatment System for Ophthalmic Diseases Based on Deep Neural Network Model.

Zhou, Huihui

publication RETRACTED

Contrast media & molecular imaging

2022 Volume 2022, Page(s) 4934190

Abstract: Artificial intelligence (AI) has developed rapidly in the field of ophthalmology. Fundus images have become a research hotspot because they are easy to obtain and rich in biological information. The application of fundus image analysis (AI) in background ...

Abstract	Artificial intelligence (AI) has developed rapidly in the field of ophthalmology. Fundus images have become a research hotspot because they are easy to obtain and rich in biological information. The application of fundus image analysis (AI) in background image analysis has been deepened and expanded. At present, a variety of AI studies have been carried out in the clinical screening, diagnosis, and prognosis of eye diseases, and the research results have been gradually applied to clinical practice. The application of AI in fundus image analysis will improve the situation of lack of medical resources and low diagnosis efficiency. In the future, the research of AI eye images should focus on the comprehensive intelligent diagnosis of various ophthalmic diseases and complex diseases. The focus is to integrate standardized and high-quality data resources, improve algorithm efficiency, and formulate corresponding clinical research plans.
MeSH term(s)	Algorithms ; Artificial Intelligence ; Eye Diseases/diagnosis ; Eye Diseases/therapy ; Humans ; Neural Networks, Computer ; Ophthalmology/methods
Language	English
Publishing date	2022-07-05
Publishing country	England
Document type	Journal Article ; Retracted Publication
ZDB-ID	2232678-9
ISSN	1555-4317 ; 1555-4309
ISSN (online)	1555-4317
ISSN	1555-4309
DOI	10.1155/2022/4934190
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