Jinlong Shi
Biographic Data
| ID | 7798419 |
|---|---|
| NAME | Jinlong Shi |
| GIVEN NAMES | Jinlong |
| FAMILY NAME | Shi |
| SIGNATURE | SHI J |
| AFFILIATIONS | Ling Tung University |
| ORCID | 0000-0001-7308-2391 |
| VERIFIED | Yes |
| TOTAL WORKS | 9 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 9 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Multidimensional EEG features integration with feature selection strategy for precision diagnosis of depressive disorders
Depressive disorder (DD), a leading global cause of disability, lacks objective diagnostic biomarkers due to reliance on subjective clinical criteria. This study introduces an algorithm-driven framework integrating multidimensional EEG features, dynamic time-window optimization, feature selection and machine learning to address this gap. Resting-state EEG signals were acquired from 70 DD patients and 30 healthy controls (HC). Three-dimensional ne…
A novel deep learning model for objective quantification of generalized anxiety disorder severity using EEG functional connectivity
Generalized anxiety disorder (GAD) is a prevalent and disabling psychiatric condition, yet its severity is still assessed mainly through clinical interviews and self-report scales, which lack objective neurobiological markers. This study aimed to develop an electroencephalography (EEG)-based deep learning (DL) model for objective quantification of GAD severity based on functional connectivity (FC) features. Resting-state EEG was recorded for 10 m…
Spatial heterogeneity and its influencing factors of cardiometabolic multimorbidity in a natural community population
CMM prevalence shows significant geographic variation within Lingwu City, with distinct risk factors across townships. Tailored interventions, based on local needs, should be implemented to reduce CMM prevalence effectively, optimize health resource allocation, and inform public health policies in rural areas of Northwest China
Reduction of Hexavalent Chromium from Soil of the Relocated Factory Area with Rice Straw Hydrothermal Carbon Modified by Nano Zero-Valent Iron (nZVI)
In order to reduce the content of Cr(VI) in the soil of the relocated chromium salt factory, the rice straw-derived hydrothermal carbon was prepared by hydrothermal method and loaded with nano zero-valent iron generated by liquid phase reduction, which effectively alleviated the self-aggregation problem of nano zero-valent iron (nZVI) in the treatment of Cr(VI) and improved the Cr(VI) reduction rate without changing the soil structure. The reduct…
Communication Mechanism and Optimization Strategies of Short Fitness-Based Videos on TikTok During Covid-19 Epidemic Period in China
Scientific and moderate exercise is an effective remedy to boost the immune system and minimize the risk of infection in coronavirus disease 2019 (COVID-19) epidemic period. In this context, social media platforms play an essential role in communicating scientific fitness at home. Based on the integrated analysis of communication, physical geography, and health geography, this article takes short fitness-based videos on TikTok as the research obj…
Graphene environmental footprint greatly reduced when derived from biomass waste via flash Joule heating
Prevalence and risk factors analysis for low back pain among occupational groups in key industries of China
LBP incidence among key industries and workers in China is high. Thus, it is urgent to take relevant measures according to the individual, occupational, and psychosocial factors of LBP to reduce the adverse impact of LBP on workers' health
Moderating Effect of Dynamic Environment in the Relationship between Guanxi, Trust, and Repurchase Intention of Agricultural Materials
Repurchasing intention of agricultural materials is a key to a sustainable food business system. The novel contribution of this study is that we go beyond technical aspect and look into human capital dynamics in a general context, by examining how different dimensions of 'guanxi' (i.e., personal relations and instrumentality) between farmers and agricultural retailers affect trust between the two and, in turn, repeated purchase intention of agric…
Evaluation of Environmental Risk Due to Metro System Construction in Jinan, China
Jinan is a famous spring city in China. Construction of underground metro system may block groundwater seepage, inducing the depletion risk of springs. This paper presents an assessment of the risk due to metro line construction to groundwater in Jinan City using Analytic Hierarchy Process (AHP) and Geographic International System (GIS). Based on the characteristics of hydrogeology and engineering geology, the assessment model is established from…
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Evaluation of Environmental Risk Due to Metro System Construction in Jinan, China
Jinan is a famous spring city in China. Construction of underground metro system may block groundwater seepage, inducing the depletion risk of springs. This paper presents an assessment of the risk due to metro line construction to groundwater in Jinan City using Analytic Hierarchy Process (AHP) and Geographic International System (GIS). Based on the characteristics of hydrogeology and engineering geology, the assessment model is established from…
Moderating Effect of Dynamic Environment in the Relationship between Guanxi, Trust, and Repurchase Intention of Agricultural Materials
Repurchasing intention of agricultural materials is a key to a sustainable food business system. The novel contribution of this study is that we go beyond technical aspect and look into human capital dynamics in a general context, by examining how different dimensions of 'guanxi' (i.e., personal relations and instrumentality) between farmers and agricultural retailers affect trust between the two and, in turn, repeated purchase intention of agric…
Communication Mechanism and Optimization Strategies of Short Fitness-Based Videos on TikTok During Covid-19 Epidemic Period in China
Scientific and moderate exercise is an effective remedy to boost the immune system and minimize the risk of infection in coronavirus disease 2019 (COVID-19) epidemic period. In this context, social media platforms play an essential role in communicating scientific fitness at home. Based on the integrated analysis of communication, physical geography, and health geography, this article takes short fitness-based videos on TikTok as the research obj…
Graphene environmental footprint greatly reduced when derived from biomass waste via flash Joule heating
Prevalence and risk factors analysis for low back pain among occupational groups in key industries of China
LBP incidence among key industries and workers in China is high. Thus, it is urgent to take relevant measures according to the individual, occupational, and psychosocial factors of LBP to reduce the adverse impact of LBP on workers' health
Reduction of Hexavalent Chromium from Soil of the Relocated Factory Area with Rice Straw Hydrothermal Carbon Modified by Nano Zero-Valent Iron (nZVI)
In order to reduce the content of Cr(VI) in the soil of the relocated chromium salt factory, the rice straw-derived hydrothermal carbon was prepared by hydrothermal method and loaded with nano zero-valent iron generated by liquid phase reduction, which effectively alleviated the self-aggregation problem of nano zero-valent iron (nZVI) in the treatment of Cr(VI) and improved the Cr(VI) reduction rate without changing the soil structure. The reduct…
Spatial heterogeneity and its influencing factors of cardiometabolic multimorbidity in a natural community population
CMM prevalence shows significant geographic variation within Lingwu City, with distinct risk factors across townships. Tailored interventions, based on local needs, should be implemented to reduce CMM prevalence effectively, optimize health resource allocation, and inform public health policies in rural areas of Northwest China
Multidimensional EEG features integration with feature selection strategy for precision diagnosis of depressive disorders
Depressive disorder (DD), a leading global cause of disability, lacks objective diagnostic biomarkers due to reliance on subjective clinical criteria. This study introduces an algorithm-driven framework integrating multidimensional EEG features, dynamic time-window optimization, feature selection and machine learning to address this gap. Resting-state EEG signals were acquired from 70 DD patients and 30 healthy controls (HC). Three-dimensional ne…
A novel deep learning model for objective quantification of generalized anxiety disorder severity using EEG functional connectivity
Generalized anxiety disorder (GAD) is a prevalent and disabling psychiatric condition, yet its severity is still assessed mainly through clinical interviews and self-report scales, which lack objective neurobiological markers. This study aimed to develop an electroencephalography (EEG)-based deep learning (DL) model for objective quantification of GAD severity based on functional connectivity (FC) features. Resting-state EEG was recorded for 10 m…
China (4 works) · Geography (3 works) · Archaeology (2 works) · Biostatistics (2 works) · Composite material (2 works) · Computer Science (2 works) · Electroencephalography (2 works) · Engineering (2 works) · Environmental Science (2 works) · Epidemiology (2 works)