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Article ; Online: The Visualization Analysis of Sleep Quality Research Literature of Chinese College Students Based on Citespace

Jiang Shuo / Nie Haiyang

BIO Web of Conferences, Vol 60, p

2023 Volume 02015

Abstract: This study explores the current research hotspots and trends of sleep quality in college students by bibliometric analysis, and to provide reference for further research in this field. The study uses CNKI as the retrieval data source and use Citespace ... ...

Abstract	This study explores the current research hotspots and trends of sleep quality in college students by bibliometric analysis, and to provide reference for further research in this field. The study uses CNKI as the retrieval data source and use Citespace and the visualization fuction of CNKI to visualized the included literatures. A total of 212 literatures were included in this study. The publication of relevant literature shows an increasing trend in general, and there is no cooperative relationship between the publishing institutions. Research hotspots include the status quo, influencing factors and intervention measures of sleep quality of college students. The regression analysis of sleep quality and mental health problems of college students are recent research frontiers. Future research needs to strengthen collaboration between different institutions and authors. In order to solve the problem of college students’ sleep quality, it needs not only self-adjustment, but also the joint efforts and care of school, family and government, and the implementation of intervention measures to solve this problem.
Keywords	Microbiology ; QR1-502 ; Physiology ; QP1-981 ; Zoology ; QL1-991
Subject code	001
Language	English
Publishing date	2023-01-01T00:00:00Z
Publisher	EDP Sciences
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: FOXP1 expression is increased after Stau1 knockdown of murine preadipocyte cell line 3T3-L1

MENG Xuanyu / LIU Dihui / JIANG Shuo / GUAN Yaqun / LIANG Xiaodi

Jichu yixue yu linchuang, Vol 43, Iss 1, Pp 130-

2023 Volume 136

Abstract: Objective To screen the differentially expressed genes after knocking down double-stranded RNA binding protein stanfen 1(Stau1)during the differentiation process of murine preadipocyte cell line 3T3-L1, analyze their biological functions, and use qPCR to ...

Abstract	Objective To screen the differentially expressed genes after knocking down double-stranded RNA binding protein stanfen 1(Stau1)during the differentiation process of murine preadipocyte cell line 3T3-L1, analyze their biological functions, and use qPCR to verify the sequencing results for analysis. Methods RNA-seq was used to analyze the transcriptional regulation of genes after Stau1 knockdown. The STAU1 shRNA was constructed and transfected into 3T3-L1 cells. The cocktail method induced them to differentiate into mature adipocytes. The cells of 0 and 4 days were collected to establish a control cell group and a STAU1 knockdown group (3 groups of biological replicate samples) for a total of 12 groups of samples. Cell gene chip data set, with change log2 (Fold change)＞ 1 and corrected PStau1 knockdown cells and control group samples, and then the fat after knockdown Gene ontology (GO) and metabolic pathway analysis (KEGG pathway database) were performed on the differentially expressed genes of cells and control groups. Luciferase experiments confirmed the presence of SBS binding to forkhead box P1(FOXP1) mRNA 3′UTR. Results Compared with the control, STAU1 knockdown cell group, a total of 588 differentially expressed genes were screened, of which 406 were up-regulated and 182 were down-regulated. Differentially expressed genes were mainly involved in lipid metabolism and inflammatory responded factors in the biological process, and the main enriched signal pathways were related to sugar metabolism and energy metabolism. FOXP1 expression increased 5.3 times after knocking down Stau1, and the software predicted that the 3′UTR region of FOXP1 mRNA contained STAU1 binding sites. Conclusions Therefore, it is speculated that STAU1 can bind to the STAU1 binding site loacated at FOXP1 mRNA and promote its degradation.
Keywords	staufen1\|forkhead box p1\|transcriptomic sequencing\|adipocyte differentiation ; Medicine ; R
Subject code	570
Language	Chinese
Publishing date	2023-01-01T00:00:00Z
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: Synthetic EMG Based on Adversarial Style Transfer Can Effectively Attack Biometric-Based Personal Identification Models.

Kang, Peiqi / Jiang, Shuo / Shull, Peter B

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society

2023 Volume 31, Page(s) 3275–3284

Abstract: Biometric-based personal identification models are generally considered to be accurate and secure because biological signals are too complex and person-specific to be fabricated, and EMG signals, in particular, have been used as biological identification ...

Abstract	Biometric-based personal identification models are generally considered to be accurate and secure because biological signals are too complex and person-specific to be fabricated, and EMG signals, in particular, have been used as biological identification tokens due to their high dimension and non-linearity. We investigate the possibility of effectively attacking EMG-based identification models with adversarial biological input via a novel EMG signal individual-style transformer based on a generative adversarial network and tiny leaked data segments. Since two same EMG segments do not exist in nature; the leaked data can't be used to attack the model directly or it will be easily detected. Therefore, it is necessary to extract the style with the leaked personal signals and generate the attack signals with different contents. With our proposed method and tiny leaked personal EMG fragments, numerous EMG signals with different content can be generated in that person's style. EMG hand gesture data from eighteen subjects and three well-recognized deep EMG classifiers were used to demonstrate the effectiveness of the proposed attack methods. The proposed methods achieved an average of 99.41% success rate on confusing identification models and an average of 91.51% success rate on manipulating identification models. These results demonstrate that EMG classifiers based on deep neural networks can be vulnerable to synthetic data attacks. The proof-of-concept results reveal that synthetic EMG biological signals must be considered in biological identification system design across a vast array of relevant biometric systems to ensure personal identification security for individuals and institutions.
MeSH term(s)	Humans ; Algorithms ; Neural Networks, Computer ; Upper Extremity ; Biometry
Language	English
Publishing date	2023-08-18
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	1166307-8
ISSN	1558-0210 ; 1063-6528 ; 1534-4320
ISSN (online)	1558-0210
ISSN	1063-6528 ; 1534-4320
DOI	10.1109/TNSRE.2023.3303316
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Article ; Online: ProtoCode: Leveraging large language models (LLMs) for automated generation of machine-readable PCR protocols from scientific publications.

Jiang, Shuo / Evans-Yamamoto, Daniel / Bersenev, Dennis / Palaniappan, Sucheendra K / Yachie-Kinoshita, Ayako

SLAS technology

2024 Volume 29, Issue 3, Page(s) 100134

Abstract: Protocol standardization and sharing are crucial for reproducibility in life sciences. In spite of numerous efforts for standardized protocol description, adherence to these standards in literature remains largely inconsistent. Curation of protocols are ... ...

Abstract	Protocol standardization and sharing are crucial for reproducibility in life sciences. In spite of numerous efforts for standardized protocol description, adherence to these standards in literature remains largely inconsistent. Curation of protocols are especially challenging due to the labor intensive process, requiring expert domain knowledge of each experimental procedure. Recent advancements in Large Language Models (LLMs) offer a promising solution to interpret and curate knowledge from complex scientific literature. In this work, we develop ProtoCode, a tool leveraging fine-tune LLMs to curate protocols into intermediate representation formats which can be interpretable by both human and machine interfaces. Our proof-of-concept, focused on polymerase chain reaction (PCR) protocols, retrieves information from PCR protocols at an accuracy ranging 69-100 % depending on the information content. In all tested protocols, we demonstrate that ProtoCode successfully converts literature-based protocols into correct operational files for multiple thermal cycler systems. In conclusion, ProtoCode can alleviate labor intensive curation and standardization of life science protocols to enhance research reproducibility by providing a reliable, automated means to process and standardize protocols. ProtoCode is freely available as a web server at https://curation.taxila.io/ProtoCode/.
Language	English
Publishing date	2024-04-24
Publishing country	United States
Document type	Journal Article
ZDB-ID	2900310-6
ISSN	2472-6311 ; 2472-6303
ISSN (online)	2472-6311
ISSN	2472-6303
DOI	10.1016/j.slast.2024.100134
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Article ; Online: Synthetic IMU Datasets and Protocols Can Simplify Fall Detection Experiments and Optimize Sensor Configuration.

Tang, Jie / He, Bin / Xu, Junkai / Tan, Tian / Wang, Zhipeng / Zhou, Yanmin / Jiang, Shuo

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society

2024 Volume 32, Page(s) 1233–1245

Abstract: Falls represent a significant cause of injury among the elderly population. Extensive research has been devoted to the utilization of wearable IMU sensors in conjunction with machine learning techniques for fall detection. To address the challenge of ... ...

Abstract	Falls represent a significant cause of injury among the elderly population. Extensive research has been devoted to the utilization of wearable IMU sensors in conjunction with machine learning techniques for fall detection. To address the challenge of acquiring costly training data, this paper presents a novel method that generates a substantial volume of synthetic IMU data with minimal actual fall experiments. First, unmarked 3D motion capture technology is employed to reconstruct human movements. Subsequently, utilizing the biomechanical simulation platform Opensim and forward kinematic methods, an ample amount of training data from various body segments can be custom generated. Synthetic IMU data was then used to train a machine learning model, achieving testing accuracies of 91.99% and 86.62% on two distinct datasets of actual fall-related IMU data. Building upon the simulation framework, this paper further optimized the single IMU attachment position and multiple IMU combinations on fall detection. The proposed method simplifies fall detection data acquisition experiments, provides novel venue for generating low cost synthetic data in scenario where acquiring data for machine learning is challenging and paves the way for customizing machine learning configurations.
MeSH term(s)	Aged ; Humans ; Wearable Electronic Devices ; Machine Learning ; Movement ; Biomechanical Phenomena
Language	English
Publishing date	2024-03-25
Publishing country	United States
Document type	Journal Article
ZDB-ID	1166307-8
ISSN	1558-0210 ; 1063-6528 ; 1534-4320
ISSN (online)	1558-0210
ISSN	1063-6528 ; 1534-4320
DOI	10.1109/TNSRE.2024.3370396
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Article ; Online: Black soldier fly larvae mitigate greenhouse gas emissions from domestic biodegradable waste by recycling carbon and nitrogen and reconstructing microbial communities.

Xiang, FangMing / Han, LuYing / Jiang, ShuoYun / Xu, XinHua / Zhang, ZhiJian

Environmental science and pollution research international

2024

Abstract: Black soldier fly larvae have been proven to reduce greenhouse gas emissions in the treatment of organic waste. However, the microbial mechanisms involved have not been fully understood. The current study mainly examined the dynamic changes of carbon and ...

Abstract	Black soldier fly larvae have been proven to reduce greenhouse gas emissions in the treatment of organic waste. However, the microbial mechanisms involved have not been fully understood. The current study mainly examined the dynamic changes of carbon and nitrogen, greenhouse gas emissions, the succession of microbial community structure, and changes in functional gene abundance in organic waste under larvae treatment and non-aeration composting. Thirty percent carbon and 55% nitrogen in the organic waste supplied were stored in larvae biomass. Compared to the non-aeration composting, the larvae bioreactor reduced the proportion of carbon and nitrogen converted into greenhouse gases (CO
Language	English
Publishing date	2024-04-27
Publishing country	Germany
Document type	Journal Article
ZDB-ID	1178791-0
ISSN	1614-7499 ; 0944-1344
ISSN (online)	1614-7499
ISSN	0944-1344
DOI	10.1007/s11356-024-33308-8
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Article ; Online: Comparison between three preconcentration resins to determine dissolved gallium in natural waters using isotope dilution and high resolution inductively coupled plasma mass spectrometry.

Liu, Zheng Bo / Zhang, Jing / Jiang, Shuo / Su, Han

Talanta

2023 Volume 265, Page(s) 124792

Abstract: A new and accurate method using resin enrichment of Ga, combined with isotope dilution, was developed to determine its dissolved concentrations in natural waters. The extraction properties of Chelex-100, Nobias Chelate PA-1, and Presep® PolyChelate ... ...

Abstract	A new and accurate method using resin enrichment of Ga, combined with isotope dilution, was developed to determine its dissolved concentrations in natural waters. The extraction properties of Chelex-100, Nobias Chelate PA-1, and Presep® PolyChelate resins for Ga from river water and seawater were compared. Experiments were conducted to determine the optimal pH range, capacity to eliminate matrix and interference, extraction and elution times, and ideal quantity of resin beads. The Chelex-100 resins were determined to be inferior to the other resins in their ability to remove the matrix and interference. The properties of Nobias Chelate PA-1 and Presep® PolyChelate were comparable, whereas Presep® PolyChelate resins were ultimately chosen for sample analysis owing to their wide range for extracting Ga at low pHs compared to Nobias Chelate PA-1 resins. The optimal isotope dilution conditions for Ga concentration measurements in natural water are discussed. The procedural blank of the method was 0.42 ± 0.18 pmol/kg (N = 12, 1 SD) and the detection limit was 0.6 pmol/kg. Intercalibration samples of GS were analyzed, with results of 41.6 ± 1.06 pmol/kg (N = 6, 1 SD), which agreed with previously reported data. Other intercalibration samples (GSP, GSC, NASS-6, NASS-7, SAFe D1, and SAFe D2) were also measured. The Ga, sampled using the contamination-free X-Vane method and conventional CTD rosette samplers, were compared and showed no statistical difference. Ga concentrations in different natural waters were determined. The Ga concentrations in rainwater were extremely low, whereas those in river water and seawater were in good agreement with existing knowledge.
Language	English
Publishing date	2023-06-16
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	1500969-5
ISSN	1873-3573 ; 0039-9140
ISSN (online)	1873-3573
ISSN	0039-9140
DOI	10.1016/j.talanta.2023.124792
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Article ; Online: Selection of the Male or Female Sex in Chronic Unpredictable Mild Stress-Induced Animal Models of Depression.

Jiang, Shuo / Lin, Ling / Guan, Lihua / Wu, Youming

publication RETRACTED

BioMed research international

2022 Volume 2022, Page(s) 2602276

Abstract: Depression is a serious public health problem and an important factor leading to disease-related disability. Influenced by many factors, such as psychological, hormonal, and genetic factors, the incidence rate of depression in females is approximately ... ...

Abstract	Depression is a serious public health problem and an important factor leading to disease-related disability. Influenced by many factors, such as psychological, hormonal, and genetic factors, the incidence rate of depression in females is approximately two times that in males. However, in preclinical neuroscience research, the selection of the animals' sex for use in depression models has been controversial. At present, in most preclinical studies, the animals generally chosen in depression models have been male rodents rather than female rodents. It remains doubtful whether the data obtained from male animals can be generalized to female animals. The performance of female animals in preclinical studies of depression has been inconclusive. Based on a review of a large number of original studies in the PubMed database, it was found that although male rodents are more commonly used in the study of depression, the use of female animals also shows good modeling of depression and has its advantages. The influence of the animals' sex in the chronic unpredictable mild stress (CUMS) model needs further research.
MeSH term(s)	Animals ; Antidepressive Agents/pharmacology ; Behavior, Animal ; Depression/etiology ; Disease Models, Animal ; Female ; Hippocampus ; Male ; Stress, Psychological
Chemical Substances	Antidepressive Agents
Language	English
Publishing date	2022-06-30
Publishing country	United States
Document type	Journal Article ; Review ; Retracted Publication
ZDB-ID	2698540-8
ISSN	2314-6141 ; 2314-6133
ISSN (online)	2314-6141
ISSN	2314-6133
DOI	10.1155/2022/2602276
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Book ; Online: Snake Robot with Tactile Perception Navigates on Large-scale Challenging Terrain

Jiang, Shuo / Salagame, Adarsh / Ramezani, Alireza / Wong, Lawson

2023

Abstract: Along with the advancement of robot skin technology, there has been notable progress in the development of snake robots featuring body-surface tactile perception. In this study, we proposed a locomotion control framework for snake robots that integrates ... ...

Abstract	Along with the advancement of robot skin technology, there has been notable progress in the development of snake robots featuring body-surface tactile perception. In this study, we proposed a locomotion control framework for snake robots that integrates tactile perception to augment their adaptability to various terrains. Our approach embraces a hierarchical reinforcement learning (HRL) architecture, wherein the high-level orchestrates global navigation strategies while the low-level uses curriculum learning for local navigation maneuvers. Due to the significant computational demands of collision detection in whole-body tactile sensing, the efficiency of the simulator is severely compromised. Thus a distributed training pattern to mitigate the efficiency reduction was adopted. We evaluated the navigation performance of the snake robot in complex large-scale cave exploration with challenging terrains to exhibit improvements in motion efficiency, evidencing the efficacy of tactile perception in terrain-adaptive locomotion of snake robots.
Keywords	Computer Science - Robotics ; Electrical Engineering and Systems Science - Systems and Control
Subject code	629
Publishing date	2023-12-05
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Book ; Online: Hierarchical RL-Guided Large-scale Navigation of a Snake Robot

Jiang, Shuo / Salagame, Adarsh / Ramezani, Alireza / Wong, Lawson

2023

Abstract: Classical snake robot control leverages mimicking snake-like gaits tuned for specific environments. However, to operate adaptively in unstructured environments, gait generation must be dynamically scheduled. In this work, we present a four-layer ... ...

Abstract	Classical snake robot control leverages mimicking snake-like gaits tuned for specific environments. However, to operate adaptively in unstructured environments, gait generation must be dynamically scheduled. In this work, we present a four-layer hierarchical control scheme to enable the snake robot to navigate freely in large-scale environments. The proposed model decomposes navigation into global planning, local planning, gait generation, and gait tracking. Using reinforcement learning (RL) and a central pattern generator (CPG), our method learns to navigate in complex mazes within hours and can be directly deployed to arbitrary new environments in a zero-shot fashion. We use the high-fidelity model of Northeastern's slithering robot COBRA to test the effectiveness of the proposed hierarchical control approach. Comment: arXiv admin note: text overlap with arXiv:2311.14878
Keywords	Computer Science - Robotics ; Electrical Engineering and Systems Science - Systems and Control
Subject code	629
Publishing date	2023-12-05
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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