Resource Type

Journal Article 7

Year

2023 2

2022 1

2021 2

2019 1

2014 1

Keywords

Anthropogenic interventions 1

Authority trust level 1

Backward unlikability 1

Biochemical indicators 1

Chameleon hash function 1

Chemosensitivity 1

Deep machine learning 1

Digital signature 1

Double-authentication-preventing signatures 1

Fingerprint spectral signatures 1

Gemcitabine 1

Groundwater quality 1

Group signature 1

Hydrochemical signatures 1

Hyperspectral imaging 1

Infertility 1

Intrahepatic cholangiocarcinoma 1

Lattice-based cryptography 1

Leaf lesion progression 1

Ovulation responses 1

open ︾

Search scope:

排序： Display mode:

Using hydrochemical signatures to characterize the long-period evolution of groundwater information in

Frontiers of Environmental Science & Engineering 2021, Volume 15, Issue 5, doi: 10.1007/s11783-021-1393-7

Abstract:

• The long-period groundwater evolution was identified by hydrochemicalsignatures.

Keywords： Groundwater quality     Hydrochemical signatures     Spatial-temporal variations     Water-rock interactions    

HTML PDF Collect

Detection of genomic signatures for pig hairlessness using high-density SNP data

Ying SU,Yi LONG,Xinjun LIAO,Huashui AI,Zhiyan ZHANG,Bin YANG,Shijun XIAO,Jianhong TANG,Wenshui XIN,Lusheng HUANG,Jun REN,Nengshui DING

Frontiers of Agricultural Science and Engineering 2014, Volume 1, Issue 4,   Pages 307-313 doi: 10.15302/J-FASE-2014039

Abstract: A total of 38405 SNPs in 498 animals from 36 diverse breeds were used to detect genomic signatures forSeven diversifying signatures between Yucatan hairless pig and hairy pigs were identified on pig chromosomesWhen Mexican hairless pigs were contrasted with hairypigs, strong signatures were detected on SSC1 and

Keywords： hairlessness     pig     selective sweeping    

HTML PDF Collect

Fingerprint Spectral Signatures Revealing the Spatiotemporal Dynamics of Bipolaris Spot Blotch Progression Article

Fengle Zhu, Zhenzhu Su, Alireza Sanaeifar, Anand Babu Perumal, Mostafa Gouda, Ruiqing Zhou, Xiaoli Li, Yong He

Engineering 2023, Volume 22, Issue 3,   Pages 171-184 doi: 10.1016/j.eng.2022.10.006

Abstract: sites for presymptomatic diagnosis; however, no related studies have extracted fingerprint spectral signaturesThe FSSs denote unique and representative spectral signatures that characterize a specific plant disease

Keywords： Hyperspectral imaging     Fingerprint spectral signatures     Spot blotch     Leaf lesion progression     Presymptomatic    

HTML PDF Collect

Double-authentication-preventing signatures revisited: new definition and construction from chameleon None

Fei LI, Wei GAO, Gui-lin WANG, Ke-fei CHEN, Chun-ming TANG

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 2,   Pages 176-186 doi: 10.1631/FITEE.1700005

Abstract: The double-authentication-preventing property means that any pair of signatures on two different messages

Keywords： Double-authentication-preventing signatures     Chameleon hash function     Digital signature     Provable security    

HTML PDF Collect

Verifier-local revocation group signatures with backward unlinkability from lattices Research Articles

Yanhua ZHANG, Ximeng LIU, Yupu HU, Yong GAN, Huiwen JIA

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 6,   Pages 876-892 doi: 10.1631/FITEE.2000507

Abstract: provide backward unlinkability (BU), which is an important property to ensure that previously issued signatures

Keywords： Group signature     Lattice-based cryptography     Verifier-local revocation     Backward unlikability     Short integer solution    

HTML PDF Collect

Distinct Immune Signatures in Peripheral Blood Predict Chemosensitivity in Intrahepatic Cholangiocarcinoma Article

Tong Wu, Ying-Cheng Yang, Bo Zheng, Xue-Bing Shi, Wei Li, Wen-Cong Ma, Shan Wang, Zhi-Xuan Li, Yan-Jing Zhu, Jian-Min Wu, Kai-Ting Wang, Yan Zhao, Rui Wu, Cheng-Jun Sui, Si-Yun Shen, Xuan Wu, Lei Chen, Zhen-Gang Yuan, Hong-Yang Wang

Engineering 2021, Volume 7, Issue 10,   Pages 1381-1393 doi: 10.1016/j.eng.2021.01.014

Abstract:

Intrahepatic cholangiocarcinoma (ICC) is the second most common liver cancer. Chemotherapy remains the main therapeutic strategy for advanced ICC patients, but chemosensitivity varies individually. Here, we applied cytometry by time-of-flight (CyTOF) to establish the immune profile of peripheral blood mononuclear cells (PBMCs) on the single-cell level at indicated time points before, during, and after chemotherapy. Multiplex immunofluorescence staining was applied to examine the spatial distribution of certain immune clusters. Tissue microarrays (TMAs) were used for prognostic evaluation. A total of 20 ICC patients treated with gemcitabine (GEM) were enrolled in our study, including eight cases with good response (R) and 12 cases with non-response (NR). Tremendous changes in PBMC composition, including an increased level of CD4/CD8 double-positive T cells (DPT), were observed after chemotherapy. Patients with higher level of CD4+CD45RO+CXCR3+ T cells before treatment had a favorable response to chemotherapy. Our study identified a positive correlation between the percentage of T cell subpopulations and clinical response after chemotherapy, which suggests that it is practical to predict the potential response before treatment by evaluating the proportions of the cell population in PBMCs.

Keywords： Intrahepatic cholangiocarcinoma     Gemcitabine     Chemosensitivity     Peripheral blood mononuclear cells    

HTML PDF Collect

Novel Genetic Risk and Metabolic Signatures of Insulin Signaling and Androgenesis in the Anovulation Article

Xiaoke Wu, Chi Chiu Wang, Yijuan Cao, Jian Li, Zhiqiang Li, Hongli Ma, Jingshu Gao, Hui Chang, Duojia Zhang, Jing Cong, Yu Wang, Qi Wu, Xiaoxiao Han, Pui Wah Jacqueline Chung, Yiran Li, Xu Zheng, Lingxi Chen, Lin Zeng, Astrid Borchert, Hartmut Kuhn, Zi-Jiang Chen, Ernest Hung Yu Ng, Elisabet Stener-Victorin, Heping Zhang, Richard S. Legro, Ben Willem J. Mol, Yongyong Shi

Engineering 2023, Volume 23, Issue 4,   Pages 103-111 doi: 10.1016/j.eng.2022.08.013

Abstract:

Ovulation induction is a first-line medical treatment for infertility in polycystic ovary syndrome (PCOS). Poor ovulation responses are assumed to be due to insulin resistance and hyperandrogenism. In a prospective cohort (PCOSAct) of 1000 infertile patients with PCOS, whole-exome plus targeted singlenucleotide polymorphism (SNP) sequencing and comprehensive metabolomic profiling were conducted. Significant genome-wide common variants and rare mutations associated with anovulation were identified, and a prediction model was built using machine learning. Common variants in zinc-finger protein 438 gene (ZNF438) indexed by rs2994652 (p = 2.47 × 10–8) and a rare functional mutation in REC114 (rs182542888, p = 5.79 × 10–6) were significantly associated with failure of ovulation induction. Women carrying the A allele of rs2994652 and REC114 p.Val101Leu (rs182542888) had lower ovulation (odds ratio (OR) = 1.96, 95% confidence interval (95%CI) = 1.55–2.49; OR = 11.52, 95%CI = 3.08–43.05, respectively) and prolonged time to ovulation (mean = 56.7 versus (vs) 49.0 days, p < 0.001; 78.1 vs 68.6 days, p = 0.014, respectively). L-phenylalanine was found to be increased and correlated with the Homeostatic Model Assessment for Insulin Resistance (HOMA-IR) index (r = 0.22, p = 0.050) and fasting glucose (r = 0.33, p = 0.003) for rs2994652, while arachidonic acid metabolism was found to be decreased and associated with increased anti-Müllerian hormone (AMH; r = –0.51, p = 0.01) and total testosterone (TT; r = –0.71, p = 0.02) for rs182542888. A combined model of genetic variants, metabolites, and clinical features increased the prediction of ovulation (area under the curve (AUC) = 76.7%). Common variants in ZNF438 and rare functional mutations in REC114, associated with phenylalanine and arachidonic acid metabolites, contributed to the failure of infertility treatment in women with PCOS.

Keywords： Polycystic ovary syndrome     Infertility     Ovulation responses     ZNF438     REC114     Whole-exome sequencing     Deep machine learning    

HTML PDF Collect

Title Author Date Type Operation

Using hydrochemical signatures to characterize the long-period evolution of groundwater information in

Journal Article

Detection of genomic signatures for pig hairlessness using high-density SNP data

Ying SU,Yi LONG,Xinjun LIAO,Huashui AI,Zhiyan ZHANG,Bin YANG,Shijun XIAO,Jianhong TANG,Wenshui XIN,Lusheng HUANG,Jun REN,Nengshui DING

Journal Article

Fingerprint Spectral Signatures Revealing the Spatiotemporal Dynamics of Bipolaris Spot Blotch Progression

Fengle Zhu, Zhenzhu Su, Alireza Sanaeifar, Anand Babu Perumal, Mostafa Gouda, Ruiqing Zhou, Xiaoli Li, Yong He

Journal Article

Double-authentication-preventing signatures revisited: new definition and construction from chameleon

Fei LI, Wei GAO, Gui-lin WANG, Ke-fei CHEN, Chun-ming TANG

Journal Article

Verifier-local revocation group signatures with backward unlinkability from lattices

Yanhua ZHANG, Ximeng LIU, Yupu HU, Yong GAN, Huiwen JIA

Journal Article

Distinct Immune Signatures in Peripheral Blood Predict Chemosensitivity in Intrahepatic Cholangiocarcinoma

Tong Wu, Ying-Cheng Yang, Bo Zheng, Xue-Bing Shi, Wei Li, Wen-Cong Ma, Shan Wang, Zhi-Xuan Li, Yan-Jing Zhu, Jian-Min Wu, Kai-Ting Wang, Yan Zhao, Rui Wu, Cheng-Jun Sui, Si-Yun Shen, Xuan Wu, Lei Chen, Zhen-Gang Yuan, Hong-Yang Wang

Journal Article

Novel Genetic Risk and Metabolic Signatures of Insulin Signaling and Androgenesis in the Anovulation

Xiaoke Wu, Chi Chiu Wang, Yijuan Cao, Jian Li, Zhiqiang Li, Hongli Ma, Jingshu Gao, Hui Chang, Duojia Zhang, Jing Cong, Yu Wang, Qi Wu, Xiaoxiao Han, Pui Wah Jacqueline Chung, Yiran Li, Xu Zheng, Lingxi Chen, Lin Zeng, Astrid Borchert, Hartmut Kuhn, Zi-Jiang Chen, Ernest Hung Yu Ng, Elisabet Stener-Victorin, Heping Zhang, Richard S. Legro, Ben Willem J. Mol, Yongyong Shi

Journal Article