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Article ; Online: IoT Speech Recognition Application in Mass Sports Data Monitoring Based on Dynamic Adaptive Recommendation Algorithm.

Song, Meng

Computational intelligence and neuroscience

2022 Volume 2022, Page(s) 8032571

Abstract: In this paper, the existing dynamic adaptive recommendation methods are studied, which combine the practical application scheme of transforming the actual dynamic adaptive recommendation problem into user microblog information. After that, a dynamic ... ...

Abstract	In this paper, the existing dynamic adaptive recommendation methods are studied, which combine the practical application scheme of transforming the actual dynamic adaptive recommendation problem into user microblog information. After that, a dynamic adaptive weight fusion method is proposed and based on experimental verification, a real-time dynamic adaptive recommendation system is finally designed. The speech recognition of the Internet of Things takes natural language problems as the research object for a long time and takes the sound signal as the research topic. This paper analyzes the application of dynamic adaptive recommendation and Internet of Things speech recognition in mass sports data monitoring. The simulation results show that the system in this paper is convenient for users to monitor the exercise indicators in real time through the mobile client, and at the same time query the exercise historical data and compare the exercise data through the network terminal, thereby improving the exercise method and exercise load. Users can access the motion monitoring module and see the past floating state of motion parameters more intuitively than graphs, contains queries for metrics such as heart rate, body temperature, kinetic energy, pulse, and weight. Due to the diversity and complexity of people's differences, personal characteristics and business environments, sports data monitoring systems also need to be designed according to the scope of use. This paper analyzes the requirements for a motion data monitoring system and provides the system architecture design and basic data for producing detailed information for the system.
MeSH term(s)	Humans ; Speech Perception ; Algorithms ; Electrocardiography
Language	English
Publishing date	2022-10-12
Publishing country	United States
Document type	Journal Article
ZDB-ID	2388208-6
ISSN	1687-5273 ; 1687-5273
ISSN (online)	1687-5273
ISSN	1687-5273
DOI	10.1155/2022/8032571
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: The causal role of multiple psycho-emotional disorders in gastroesophageal reflux disease: A two-sample Mendelian randomized study.

Wang, Jing / Song, Meng / Cao, Mingbo

PloS one

2024 Volume 19, Issue 5, Page(s) e0302469

Abstract: Background: Observational studies have previously shown a potential link between psycho-emotional disorders, such as mood swings, highly strung, anxious feelings, and gastroesophageal reflux disease (GERD). However, the credibility of these associations ...

Abstract	Background: Observational studies have previously shown a potential link between psycho-emotional disorders, such as mood swings, highly strung, anxious feelings, and gastroesophageal reflux disease (GERD). However, the credibility of these associations could be influenced by various confounding factors. Consequently, our study sought to employ a Mendelian randomization (MR) approach to elucidate a potential causal relationship between psycho-emotional disorders and GERD. Method: Information on independent genetic variants linked to mood swings, highly strung, and anxious feelings was gathered from European populations participating in the IEU Open GWAS research. The FinnGen Consortium provided the genome-wide association study (GWAS) summary statistics for GERD. Our analysis employed the inverse variance weighted (IVW) method under the random effects model as the main analytical method. To further bolster our findings, we employed the weighted median and MR Egger methods. In addition, we conducted a series of sensitivity analyses. Results: Our study supports the existence of a causal relationship between psycho-emotional disorders and GERD. Mood swings, highly strung, and anxious feelings adversely affected GERD risk (mood swings: OR 2.21, 95% CI 1.19-5.59, p = 3.09 × 10-2; highly strung: OR 5.63, 95% CI 1.77-17.94, p = 3.42 × 10-3; anxious feelings: OR 2.48, 95% CI 1.08-4.33, p = 2.89 × 10-2). Conclusion: This Mendelian randomization study provides robust support for the notion that mood swings, highly strung and anxious feelings, are associated with an increased risk of developing GERD.
MeSH term(s)	Humans ; Gastroesophageal Reflux/genetics ; Gastroesophageal Reflux/psychology ; Mendelian Randomization Analysis ; Genome-Wide Association Study ; Anxiety/genetics ; Polymorphism, Single Nucleotide ; Genetic Predisposition to Disease
Language	English
Publishing date	2024-05-06
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2267670-3
ISSN	1932-6203 ; 1932-6203
ISSN (online)	1932-6203
ISSN	1932-6203
DOI	10.1371/journal.pone.0302469
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Article ; Online: Seeing in crowds: Averaging first, then max.

Lu, Xincheng / Jiang, Ruijie / Song, Meng / Wu, Yiting / Ge, Yiran / Chen, Nihong

Psychonomic bulletin & review

2024

Abstract: Crowding, a fundamental limit in object recognition, is believed to result from excessive integration of nearby items in peripheral vision. To understand its pooling mechanisms, we measured subjects' internal response distributions in an orientation ... ...

Abstract	Crowding, a fundamental limit in object recognition, is believed to result from excessive integration of nearby items in peripheral vision. To understand its pooling mechanisms, we measured subjects' internal response distributions in an orientation crowding task. Contrary to the prediction of an averaging model, we observed a pattern suggesting that the perceptual judgement is made based on choosing the largest response across the noise-perturbed items. A model featuring first-stage averaging and second-stage signed-max operation predicts the diverse errors made by human observers under various signal strength levels. These findings suggest that different rules operate to resolve the bottleneck at early and high-level stages of visual processing, implementing a combination of linear and nonlinear pooling strategies.
Language	English
Publishing date	2024-02-09
Publishing country	United States
Document type	Journal Article
ZDB-ID	2031311-1
ISSN	1531-5320 ; 1069-9384
ISSN (online)	1531-5320
ISSN	1069-9384
DOI	10.3758/s13423-024-02468-6
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Article ; Online: Ether Naphthotube Host-Guest Complexes and [2]Rotaxanes with Dications.

Zheng, Li-Shuo / Wang, Song-Meng / Jiang, Wei / Wang, Li-Li / Yang, Liu-Pan

Chemistry (Weinheim an der Bergstrasse, Germany)

2024 , Page(s) e202401079

Abstract: The interactions between ether naphthotube and a series of dication guests in organic solution were investigated. It was found that ether naphthotube formed stable host-guest complexes selectively with these guests in a 1 : 1 stoichiometric ratio with ... ...

Abstract	The interactions between ether naphthotube and a series of dication guests in organic solution were investigated. It was found that ether naphthotube formed stable host-guest complexes selectively with these guests in a 1 : 1 stoichiometric ratio with association constants ranging from 10
Language	English
Publishing date	2024-04-02
Publishing country	Germany
Document type	Journal Article
ZDB-ID	1478547-X
ISSN	1521-3765 ; 0947-6539
ISSN (online)	1521-3765
ISSN	0947-6539
DOI	10.1002/chem.202401079
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Article ; Online: Carbon coated heterojunction CoSe

Li, Gongqiang / Song, Meng / Zhang, Xiao / Sun, Yanfang / Guo, Jinxue

Dalton transactions (Cambridge, England : 2003)

2023 Volume 52, Issue 15, Page(s) 4973–4979

Abstract: Multicomponent metal selenides with heterostructures are believed to effectively activate the surface pseudocapacitive contribution and improve the electrochemical dynamics, thus achieving high-performance anodes for sodium ion batteries (SIBs). Herein, ... ...

Abstract	Multicomponent metal selenides with heterostructures are believed to effectively activate the surface pseudocapacitive contribution and improve the electrochemical dynamics, thus achieving high-performance anodes for sodium ion batteries (SIBs). Herein, a carbon coated CoSe
Language	English
Publishing date	2023-04-11
Publishing country	England
Document type	Journal Article
ZDB-ID	1472887-4
ISSN	1477-9234 ; 1364-5447 ; 0300-9246 ; 1477-9226
ISSN (online)	1477-9234 ; 1364-5447
ISSN	0300-9246 ; 1477-9226
DOI	10.1039/d3dt00101f
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Article ; Online: Construction and validation of a risk prediction model for frailty in patients with inflammatory bowel disease

YOU Lili / YANG Lixiao / WANG Siyao / QIAN Na / LU Min / SONG Meng / GUAN Yuxia

Jichu yixue yu linchuang, Vol 43, Iss 7, Pp 1127-

2023 Volume 1133

Abstract: Objective To establish a risk prediction model for frailty in patients with inflammatory bowel disease and verify its prediction effect. Methods A classic sampling method was used to collect samples from 360 patients with inflammatory bowel disease who ... ...

Abstract	Objective To establish a risk prediction model for frailty in patients with inflammatory bowel disease and verify its prediction effect. Methods A classic sampling method was used to collect samples from 360 patients with inflammatory bowel disease who were hospitalized in the Department of Gastroenterology of Peking Union Medical College Hospital from July 2021 to November 2021. According to the evaluation results of the FRAIL Scale (FS), patients were divided into two group: frail group and non-frail group. The differences of demographic factors and disease related factors between the two categories of patients were compared. Randomized number method was used to divide the model group and verification group at a ratio of 8∶2. Logistic regression analysis was used to establish a risk prediction model. Hosmer-Lemeshow χ2 was used to test the prediction model fitting effect, and receiver operator characteristic curve (ROC curve) was drawn. Area under ROC curve (AUC) and Youden index were calculated to evaluate the differentiation ability of the prediction model. Results The incidence of frailty in patients with inflammatory bowel disease was 16.6%. Age (OR=1.041), emaciation (OR=10.135), several times of exercise per month (OR=0.345), ulcerative colitis (OR=2.952), quality of life (OR=0.979), family care index (OR=1.629), depression (OR=1.194) and sleep disorders (OR=1.158) were independent influencing factors (P<0.05). The results of Hosmer-Lemeshow test showed that χ2=1.594, P=0.991, AUC=0.934 (95% confidence interval, 95% CI: 0.901~0.966), the maximum Youden index was 0.728, the optimal critical value was 0.128, the sensitivity was 92.0%, and the specificity was 81.8%. The validation results show that the sensitivity of the model is 88.9%, the specificity is 72.6%, and the accuracy is 91.55%. Conclusions The prediction effect of the risk prediction model is good, which can provide a reference for clinical evaluation of the frail risk of patients with inflammatory ...
Keywords	inflammatory bowel disease\|ulcerative colitis\|crohn’s disease\|frailty\|risk prediction ; Medicine ; R
Subject code	610
Language	Chinese
Publishing date	2023-07-01T00:00:00Z
Publisher	Institute of Basic Medical Sciences and Peking Union Medical College Hospital, Chinese Academy of Medical Sciences / Peking Union Medical College.
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Insights into heat-induced molecular-level interactions between wheat and common buckwheat proteins.

Song, Meng-Kun / Guo, Xiao-Na / Zhu, Ke-Xue

Food chemistry

2022 Volume 404, Issue Pt B, Page(s) 134730

Abstract: This study investigated the heat-induced interactions between wheat and buckwheat proteins by heating wheat proteins, buckwheat albumin, globulin, and mixtures of wheat flour with buckwheat albumin/globulin at 50, 65, 80, 95, and 100 °C. The results ... ...

Abstract	This study investigated the heat-induced interactions between wheat and buckwheat proteins by heating wheat proteins, buckwheat albumin, globulin, and mixtures of wheat flour with buckwheat albumin/globulin at 50, 65, 80, 95, and 100 °C. The results showed that the cross-linking reactions of wheat glutenin with buckwheat albumin and globulin initiated at 80 and 95 °C, respectively. Buckwheat albumin decreased the extractability of α-gliadin by 35 % at 95 °C and 5.9 % at 100 °C. The linkage of buckwheat globulin to wheat glutelin prevented part of the wheat gliadin from linking to glutelin, resulting in the extractability of α- and γ-gliadin increased by 8.6 % and 11 % at 95 °C, respectively. The chemical forces results indicated that interactions between wheat and buckwheat proteins were primarily driven by disulfide bonds and hydrophobic interactions. This study provides a theoretical basis for better regulating the wheat-buckwheat protein network to improve the quality of buckwheat-enriched products.
MeSH term(s)	Triticum/chemistry ; Fagopyrum/chemistry ; Flour/analysis ; Gliadin/chemistry ; Hot Temperature ; Globulins/chemistry ; Albumins
Chemical Substances	Gliadin (9007-90-3) ; Globulins ; Albumins
Language	English
Publishing date	2022-10-27
Publishing country	England
Document type	Journal Article
ZDB-ID	243123-3
ISSN	1873-7072 ; 0308-8146
ISSN (online)	1873-7072
ISSN	0308-8146
DOI	10.1016/j.foodchem.2022.134730
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Article ; Online: Characterization of the alkali-induced protein cross-linking in buckwheat sourdough steamed bread

Song, Meng-Kun / Guo, Xiao-Na / Zhu, Ke-Xue

Food Hydrocolloids. 2023 Dec., v. 145 p.109143-

2023

Abstract: This study elucidated the alkali-induced protein cross-linking behaviors of buckwheat sourdough steamed bread (BSSB). When the alkali concentration increased to 1.5% (on a total flour weight basis), the protein extractability in sodium dodecyl sulfate ( ... ...

Abstract	This study elucidated the alkali-induced protein cross-linking behaviors of buckwheat sourdough steamed bread (BSSB). When the alkali concentration increased to 1.5% (on a total flour weight basis), the protein extractability in sodium dodecyl sulfate (SDS) decreased by 2.29% while the disulfide (SS) bond content increased by 5.97 μmol/g protein, indicating that the alkali promoted the SS cross-linking of the proteins. The formation of dehydroalanine (DHA) and lanthionine (LAN) at alkali concentrations of 2.0% and 2.5% demonstrated the occurrence of DHA-derived cross-linking. To explore the role of SS cross-linking in the quality of BSSB, the thiol-blocking agent N-ethylmaleimide (NEM) was also employed. It was determined that the BSSB with NEM had almost no gas cells and that the specific volume was 48.41% lower than the control. The alkali increased the specific volume by up to 26.75% at 2.0% concentration and ameliorated the crumb structure of the BSSB. Dynamic thermo-mechanical analysis revealed that the alkali also delayed the starch gelatinization and gas cell opening, which may have contributed to the gas holding capacity of the BSSB. The amino acid residues involved in the DHA-derived cross-linking and the potential cross-linking sites were identified via liquid chromatography-tandem mass spectrometry (LC-MS/MS) analysis. It was found that both the Cys¹⁹⁷ from wheat peroxidase and the Cys¹⁰⁵ from the wheat alpha-amylase/trypsin inhibitor CM16 were crucial to the formation of the DHA-derived cross-links and that the LAN between two cysteines was inter-chain.
Keywords	amino acids ; breads ; buckwheat ; crosslinking ; disulfides ; flour ; gelatinization ; hydrocolloids ; liquid chromatography ; peroxidase ; sodium dodecyl sulfate ; sourdough ; starch ; tandem mass spectrometry ; wheat ; Protein cross-linking ; Alkali ; Dehydroalanine ; Lanthionine
Language	English
Dates of publication	2023-12
Publishing place	Elsevier Ltd
Document type	Article ; Online
ZDB-ID	742742-6
ISSN	1873-7137 ; 0268-005X
ISSN (online)	1873-7137
ISSN	0268-005X
DOI	10.1016/j.foodhyd.2023.109143
Database	NAL-Catalogue (AGRICOLA)

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Article: Application of Multiplex TaqMan Real-Time PCR Assay in Survey of Five Lily Viruses Infecting Lilium spp

Xu, Leifeng / Song, Meng / Ming, Jun

Agronomy. 2021 Dec. 26, v. 12, no. 1

2021

Abstract: Lily symptomless virus (LSV), Lily mottle virus (LMoV), Cucumber mosaic virus (CMV), Shallot yellow stripe virus (SYSV), and Plantago asiatica mosaic virus (PlAMV) are five of the economically important viruses infecting lilies (Lilium spp.) worldwide. ... ...

Abstract	Lily symptomless virus (LSV), Lily mottle virus (LMoV), Cucumber mosaic virus (CMV), Shallot yellow stripe virus (SYSV), and Plantago asiatica mosaic virus (PlAMV) are five of the economically important viruses infecting lilies (Lilium spp.) worldwide. In order to prevent the occurrence and spread of these viruses, it is necessary to develop a rapid, effective, and sensitive detection method for the simultaneous detection and specific quantification of these viruses. In this study, specific primers and probes for multiplex TaqMan real-time PCR assays designed from conserved regions of the coat protein sequence of each virus were used for the simultaneous detection of these viruses in lilies (Lilium spp.). The optimal concentration of primers and probes and reaction annealing temperature were 20 µM and 55.9 °C, respectively. The detection limits of the assay were 1.33 × 10², 1.27 × 10¹, 1.28 × 10¹, 2.33 × 10², and 2.01 × 10² copies·μL⁻¹ for LSV, LMoV, CMV, SYSV, and PlAMV, respectively. Specificity was determined using seven viral pathogens of lilies. Variability tests of intra- and inter-assays showed high reproducibility with coefficients of variation <2%. The multiplex TaqMan real-time PCR assay was used to detect these viruses from lily samples in China. In brief, our developed assay showed high specificity, sensitivity, and reproducibility for the simultaneous detection and differentiation of five lily-infecting viruses and can be used for certification and quarantine programs.
Keywords	Cucumber mosaic virus ; Lilium ; Lily mottle virus ; Lily symptomless virus ; Plantago asiatica mosaic virus ; Shallot yellow stripe virus ; agronomy ; amino acid sequences ; certification ; coat proteins ; quantitative polymerase chain reaction ; quarantine ; surveys ; temperature ; viruses ; China
Language	English
Dates of publication	2021-1226
Publishing place	Multidisciplinary Digital Publishing Institute
Document type	Article
ZDB-ID	2607043-1
ISSN	2073-4395
ISSN	2073-4395
DOI	10.3390/agronomy12010047
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Article: Network-Based Analysis Reveals Novel Biomarkers in Peripheral Blood of Patients With Preeclampsia.

Lin, Jing / Meng, Yu / Song, Meng-Fan / Gu, Wei

Frontiers in molecular biosciences

2022 Volume 9, Page(s) 757203

Abstract: WGCNA is a potent systems biology approach that explains the connection of gene expression based on a microarray database, which facilitates the discovery of disease therapy targets or potential biomarkers. Preeclampsia is a kind of pregnancy-induced ... ...

Abstract	WGCNA is a potent systems biology approach that explains the connection of gene expression based on a microarray database, which facilitates the discovery of disease therapy targets or potential biomarkers. Preeclampsia is a kind of pregnancy-induced hypertension caused by complex factors. The disease's pathophysiology, however, remains unknown. The focus of this research is to utilize WGCNA to identify susceptible modules and genes in the peripheral blood of preeclampsia patients. Obtain the whole gene expression data of GSE48424 preeclampsia patients and normal pregnant women from NCBI's GEO database. WGCNA is used to construct a gene co-expression network by calculating correlation coefficients between modules and phenotypic traits, screening important modules, and filtering central genes. To identify hub genes, we performed functional enrichment analysis, pathway analysis, and protein-protein interaction (PPI) network construction on key genes in critical modules. Then, the genetic data file GSE149437 and clinical peripheral blood samples were used as a validation cohort to determine the diagnostic value of these key genes. Nine gene co-expression modules were constructed through WGCNA analysis. Among them, the blue module is significantly related to preeclampsia and is related to its clinical severity. Thirty genes have been discovered by using the intersection of the genes in the blue module and the DEGs genes as the hub genes. It was found that HDC, MS4A2, and SLC18A2 scored higher in the PPI network and were identified as hub genes. These three genes were also differentially expressed in peripheral blood validation samples. Based on the above three genes, we established the prediction model of peripheral blood markers of preeclampsia and drew the nomogram and calibration curve. The ROC curves were used in the training cohort GSE48424 and the validation cohort GSE149437 to verify the predictive value of the above model. Finally, it was confirmed in the collected clinical peripheral blood samples that MS4A2 was differentially expressed in the peripheral blood of early-onset and late-onset preeclampsia, which is of great significance. This study provides a new biomarker and prediction model for preeclampsia.
Language	English
Publishing date	2022-06-16
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2814330-9
ISSN	2296-889X
ISSN	2296-889X
DOI	10.3389/fmolb.2022.757203
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