Jingjing Shi
Biographic Data
| ID | 7308574 |
|---|---|
| NAME | Jingjing Shi |
| GIVEN NAMES | Jingjing |
| FAMILY NAME | Shi |
| SIGNATURE | SHI J |
| AFFILIATIONS | Harbin Medical University |
| ORCID | 0000-0002-7817-6407 |
| VERIFIED | Yes |
| TOTAL WORKS | 14 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 14 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
User Comment Brushing Behavior Identification Algorithm for Malicious Network Behavior Detection
As the behavior of user comment brushing on e-commerce and social platforms becomes increasingly hidden, this article constructs a detection algorithm that integrates dynamic graph neural network (dynamic GNN) and federated learning to detect the blind spots caused by deep learning-generated text and cross-platform collaborative brushing. Dynamic GNN is used to model user-device temporal associations to identify group topological features, and fe…
Problematic smartphone use in early adolescence
Smartphones offer convenience but have raised concerns about problematic smartphone use (PSU), particularly among early adolescents whose cognitive control is still developing. Examining developmental heterogeneity in PSU and its associated risk factors during this period has important theoretical and practical implications. Participants were 1821 Chinese children transitioning into early adolescence (M age = 9.57 years; 48.5% female), followed a…
Exploring anti-Armenian hate speech in Azerbaijani state-aligned news outlets
This research paper studies anti-Armenian hate speech narratives in three Azerbaijani state-aligned news outlets during the early post-2025 TRIPP Peace Treaty period—a critical period for peace-building. Although the TRIPP Peace Treaty officially ended the Nagorno-Karabakh conflict, Azerbaijani state-aligned news outlets continue to construct anti-Armenian narratives. Existing research mainly focuses on wartime media discourse, leaving a gap in u…
A comparative analysis of the advantages and disadvantages of blended learning and traditional teaching in a multidisciplinary context
This study examines the evolution of blended learning in China, anchored in Massive Open Online Courses (MOOCs) and Small Private Online Courses (SPOCs), and evaluates its effects on teaching quality, ethics education, and student satisfaction. Combining literature review and quantitative analysis, the research demonstrates that blended learning surpasses traditional pedagogy across these three dimensions—a finding further validated through follo…
Multi-dimensional PK-PD insights into Lianhua Qingwen's formula compatibility
Using an integrated formula-disassembled strategy and PK-PD analysis, we systematically deciphered LHQW's compatibility principle: YQP, MXSGD, and Dahuang exert distinct therapeutic effects and synergistic mechanisms; intact LHQW's optimized component exposure underpins its holistic efficacy. These findings provide mechanistic evidence for LHQW's formula design, highlighting the scientific intelligence of integrating classical and modern medical …
Assessment of carbon emissions and reduction potential in China's copper smelting industry
As the largest producer and consumer of copper, China is facing enormous challenges from carbon peaking and neutrality. This article adopts “bottom‐up” and “top‐down” methods to construct a more accurate model, to predict the CO 2 emissions of China's copper smelting industry, and explores its potential for carbon reduction in the future from three scenarios as the baseline scenario (BAU), the general low‐carbon (NLC), and the enhanced low‐carbon…
A quantitative analysis of the influence of ideological and political education on students’ learning satisfaction
In China, ideological and political education is currently the hot direction of teaching reform in various colleges and universities, yet the development of appropriate teaching evaluation methods needs to catch up. This study addresses the pressing need for a preliminary investigation into the complex relationships among ideological and political education, the students’ learning satisfaction and teaching quality. This research examines the infl…
Right inferior frontal gyrus gray matter density mediates the effect of tolerance of ambiguity on scientific problem finding
Thyroid dysfunction in young, first-episode and drug-naïve patients with major depressive disorder
TD is common in young FEDN MDD patients. So clinicians should monitor thyroid function in patients with MDD
Anti-apoptotic effect of HeidihuangWan in renal tubular epithelial cells via PI3K/Akt/mTOR signaling pathway
MiR-124 Regulates Iqgap1 and Participates in the Relationship Between Morphine Dependence Susceptibility and Cognition
MiR-124 and its target protein IQGAP1 are involved in the regulation of addiction and cognitive function in patients with morphine dependence
Repetitive transcranial magnetic stimulation combined with cognitive behavioral therapy treatment in alcohol-dependent patients
This study is the first to suggest that the combination of rTMS and CBT may be a potentially effective treatment for reducing relapse
Development of the Covid-19 Real-Time Information System for Preparedness and Epidemic Response (CRISPER), Australia
Accurate and current information has been highlighted across the globe as a critical requirement for the COVID-19 pandemic response. To address this need, many interactive dashboards providing a range of different information about COVID-19 have been developed. A similar tool in Australia containing current information about COVID-19 could assist general practitioners and public health responders in their pandemic response efforts. The COVID-19 R…
Danggui-Shaoyao-San improves cognitive impairment through inhibiting O-GlcNAc-modification of estrogen α receptor in female db/db mice
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Development of the Covid-19 Real-Time Information System for Preparedness and Epidemic Response (CRISPER), Australia
Accurate and current information has been highlighted across the globe as a critical requirement for the COVID-19 pandemic response. To address this need, many interactive dashboards providing a range of different information about COVID-19 have been developed. A similar tool in Australia containing current information about COVID-19 could assist general practitioners and public health responders in their pandemic response efforts. The COVID-19 R…
Danggui-Shaoyao-San improves cognitive impairment through inhibiting O-GlcNAc-modification of estrogen α receptor in female db/db mice
MiR-124 Regulates Iqgap1 and Participates in the Relationship Between Morphine Dependence Susceptibility and Cognition
MiR-124 and its target protein IQGAP1 are involved in the regulation of addiction and cognitive function in patients with morphine dependence
Repetitive transcranial magnetic stimulation combined with cognitive behavioral therapy treatment in alcohol-dependent patients
This study is the first to suggest that the combination of rTMS and CBT may be a potentially effective treatment for reducing relapse
A quantitative analysis of the influence of ideological and political education on students’ learning satisfaction
In China, ideological and political education is currently the hot direction of teaching reform in various colleges and universities, yet the development of appropriate teaching evaluation methods needs to catch up. This study addresses the pressing need for a preliminary investigation into the complex relationships among ideological and political education, the students’ learning satisfaction and teaching quality. This research examines the infl…
Right inferior frontal gyrus gray matter density mediates the effect of tolerance of ambiguity on scientific problem finding
Thyroid dysfunction in young, first-episode and drug-naïve patients with major depressive disorder
TD is common in young FEDN MDD patients. So clinicians should monitor thyroid function in patients with MDD
Anti-apoptotic effect of HeidihuangWan in renal tubular epithelial cells via PI3K/Akt/mTOR signaling pathway
Assessment of carbon emissions and reduction potential in China's copper smelting industry
As the largest producer and consumer of copper, China is facing enormous challenges from carbon peaking and neutrality. This article adopts “bottom‐up” and “top‐down” methods to construct a more accurate model, to predict the CO 2 emissions of China's copper smelting industry, and explores its potential for carbon reduction in the future from three scenarios as the baseline scenario (BAU), the general low‐carbon (NLC), and the enhanced low‐carbon…
A comparative analysis of the advantages and disadvantages of blended learning and traditional teaching in a multidisciplinary context
This study examines the evolution of blended learning in China, anchored in Massive Open Online Courses (MOOCs) and Small Private Online Courses (SPOCs), and evaluates its effects on teaching quality, ethics education, and student satisfaction. Combining literature review and quantitative analysis, the research demonstrates that blended learning surpasses traditional pedagogy across these three dimensions—a finding further validated through follo…
Multi-dimensional PK-PD insights into Lianhua Qingwen's formula compatibility
Using an integrated formula-disassembled strategy and PK-PD analysis, we systematically deciphered LHQW's compatibility principle: YQP, MXSGD, and Dahuang exert distinct therapeutic effects and synergistic mechanisms; intact LHQW's optimized component exposure underpins its holistic efficacy. These findings provide mechanistic evidence for LHQW's formula design, highlighting the scientific intelligence of integrating classical and modern medical …
User Comment Brushing Behavior Identification Algorithm for Malicious Network Behavior Detection
As the behavior of user comment brushing on e-commerce and social platforms becomes increasingly hidden, this article constructs a detection algorithm that integrates dynamic graph neural network (dynamic GNN) and federated learning to detect the blind spots caused by deep learning-generated text and cross-platform collaborative brushing. Dynamic GNN is used to model user-device temporal associations to identify group topological features, and fe…
Problematic smartphone use in early adolescence
Smartphones offer convenience but have raised concerns about problematic smartphone use (PSU), particularly among early adolescents whose cognitive control is still developing. Examining developmental heterogeneity in PSU and its associated risk factors during this period has important theoretical and practical implications. Participants were 1821 Chinese children transitioning into early adolescence (M age = 9.57 years; 48.5% female), followed a…
Exploring anti-Armenian hate speech in Azerbaijani state-aligned news outlets
This research paper studies anti-Armenian hate speech narratives in three Azerbaijani state-aligned news outlets during the early post-2025 TRIPP Peace Treaty period—a critical period for peace-building. Although the TRIPP Peace Treaty officially ended the Nagorno-Karabakh conflict, Azerbaijani state-aligned news outlets continue to construct anti-Armenian narratives. Existing research mainly focuses on wartime media discourse, leaving a gap in u…
Medicine (6 works) · Internal Medicine (5 works) · Psychology (4 works) · Biochemistry (2 works) · Chemistry (2 works) · Cognition (2 works) · Computer Science (2 works) · Ideology (2 works) · Materials Science (2 works) · Pathology (2 works)