Kang Wang
Biographic Data
| ID | 4013700 |
|---|---|
| NAME | Kang Wang |
| GIVEN NAMES | Kang |
| FAMILY NAME | Wang |
| SIGNATURE | WANG K |
| AFFILIATIONS | Beijing Institute of Technology |
| ORCID | 0000-0003-2603-0956 |
| VERIFIED | Yes |
| TOTAL WORKS | 18 |
| TOTAL CITATIONS | 3 |
| AUTHOR COUNT | 18 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1981 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Decoding Rehabilitation: Neural Markers for Assessing Exercise Intervention Effectiveness in Drug Addicts
To objectively evaluate the intervention effectiveness of exercise rehabilitation on drug addicts, this study proposes a neural-assessment method for measuring rehabilitation efficacy. Taking subjects from isolation rehabilitation centers as the research objects, they were divided into an experimental group (receiving exercise rehabilitation training), a control group (not receiving exercise rehabilitation training), and a newly admitted group (j…
A glycol-modified 1,2-indanedione formulation for high-sensitivity and heat-free latent fingerprint visualisation
New Paradigm for Intelligent Mental Health: A Synergistic Framework Integrating Large Language Models and Virtual Standardized Patients
Can digital technology break the financing dilemma of innovative SMEs? Based on the perspective of enterprise innovation
Interpretable machine learning method empowers dynamic life cycle impact assessment: A case study on the carcinogenic impact of coal power generation
Thriving in Healthcare: Boosting Health Perception, Resilience, and Professional Quality of Life in Medical Social Workers
Medical social workers in mainland China encounter numerous structural challenges that could adversely affect their professional quality of life (ProQOL). This study seeks to investigate the correlation between ProQOL classification, resilience, and perceived health. A total of 319 medical social workers participated by completing questionnaires designed to assess their levels of ProQOL, resilience, and perceived health. The analysis of ProQOL cl…
Tensor Correlation Fusion for Multimodal Physiological Signal Emotion Recognition
As an essential challenge within the realm of affective computing, emotion recognition assumes a vital role in bestowing computers with a higher level and comprehensive intelligence. Furthermore, it has emerged as a crucial research topic in both human–computer interaction (HCI) and medical rehabilitation related to mental illnesses. However, the related fusion studies for modeling physiological signals in emotion recognition are less based on mu…
Revisiting permafrost carbon feedback and economic impacts
Quantifying permafrost carbon feedback (PCF) is a critical step in conveying the significance of permafrost carbon emissions to decision-makers and stakeholders and achieving sustainable development goals. Simply assuming a rapid reduction in permafrost area may be an overaggressive approach. This study revisited PCF by incorporating relatively clear permafrost physics into the Dynamic Integrated model of Climate and the Economy. The results show…
The history, stereochemistry, ethnopharmacology and quality assessment of borneol
A Plantaginis Semen-Coptidis Rhizoma compound alleviates type 2 diabetic mellitus in mice via modulating AGEs-Rage pathway
Study of the therapeutic effects of Painong powder on ulcerative colitis and the role of Platycodonis Radix in the prescription based on pharmacodynamic, pharmacokinetic, and tissue distribution analy…
Active layer thickness as a function of soil water content
Active layer thickness (ALT) is a critical metric for monitoring permafrost. How soil moisture influences ALT depends on two competing hypotheses: (a) increased soil moisture increases the latent heat of fusion for thaw, resulting in shallower active layers, and (b) increased soil moisture increases soil thermal conductivity, resulting in deeper active layers. To investigate their relative influence on thaw depth, we analyzed the Field Measuremen…
Bibliometric Insights in Genetic Factors of Substance-Related Disorders: Intellectual Developments, Turning Points, and Emerging Trends
Substance-related disorders are a group of medical conditions that affect a person's brain and behavior and lead to an inability to control the use of legal or illegal drug(s) or medication. Substance-related disorder is a serious public health and society problem worldwide. Genetic factors have been proven to have an important role. Researchers have carried out a lot of work in this field, and a large number of research results have been publish…
Time–Frequency Analysis of Particulate Matter (PM10) Concentration in Dry Bulk Ports Using the Hilbert–Huang Transform
To analyze the time-frequency characteristics of the particulate matter (PM 10 ) concentration, data series measured at dry bulk ports were used to determine the contribution of various factors during different periods to the PM 10 concentration level so as to support the formulation of air quality improvement plans around port areas. In this study, the Hilbert-Huang transform (HHT) method was used to analyze the time-frequency characteristics of…
Effect of Endogenous Selenium on Arsenic Uptake and Antioxidative Enzymes in As-Exposed Rice Seedlings
Arsenic (As) and selenium (Se) are two metalloids found in the environment. As it poses a significant threat to human health and plant growth due to its prevalence and toxicity, however Se is a required micronutrient for human health. In this study hydroponic experiments were performed to investigate whether endogenous Se can mitigate As toxicity in rice ( Oryza sativa L.). We found that As uptake by rice roots increased by pretreatment with sele…
PM2.5 Cooperative Control with Fuzzy Cost and Fuzzy Coalitions
Haze control cost is hard to value by a crisp number because it is often affected by various factors such as regional uncertain meteorological conditions and topographical features. Furthermore, regions may be involved in different coalitions for haze control with different levels of effort. In this paper, we propose a PM 2.5 cooperative control model with fuzzy cost and crisp coalitions or fuzzy coalitions based on the uncertain cross-border tra…
Observational study on the active layer freeze–thaw cycle in the upper reaches of the Heihe River of the north-eastern Qinghai-Tibet Plateau
Sociology: Past and Present
Sociology is a science devoted to the study of the life of society, its change and development, social relations and problems. Through the ages many thinkers had incorporated in their theories various observations and generalizations about human society. However, it was the Frenchman Auguste Comte (1789-1857) who in the early nineteenth century first proposed, as commonly acknowledged in sociological circles, the study of sociology as a branch of…
Interpretable machine learning method empowers dynamic life cycle impact assessment: A case study on the carcinogenic impact of coal power generation
Sociology: Past and Present
Sociology is a science devoted to the study of the life of society, its change and development, social relations and problems. Through the ages many thinkers had incorporated in their theories various observations and generalizations about human society. However, it was the Frenchman Auguste Comte (1789-1857) who in the early nineteenth century first proposed, as commonly acknowledged in sociological circles, the study of sociology as a branch of…
Sociology: Past and Present
Sociology is a science devoted to the study of the life of society, its change and development, social relations and problems. Through the ages many thinkers had incorporated in their theories various observations and generalizations about human society. However, it was the Frenchman Auguste Comte (1789-1857) who in the early nineteenth century first proposed, as commonly acknowledged in sociological circles, the study of sociology as a branch of…
Observational study on the active layer freeze–thaw cycle in the upper reaches of the Heihe River of the north-eastern Qinghai-Tibet Plateau
Effect of Endogenous Selenium on Arsenic Uptake and Antioxidative Enzymes in As-Exposed Rice Seedlings
Arsenic (As) and selenium (Se) are two metalloids found in the environment. As it poses a significant threat to human health and plant growth due to its prevalence and toxicity, however Se is a required micronutrient for human health. In this study hydroponic experiments were performed to investigate whether endogenous Se can mitigate As toxicity in rice ( Oryza sativa L.). We found that As uptake by rice roots increased by pretreatment with sele…
PM2.5 Cooperative Control with Fuzzy Cost and Fuzzy Coalitions
Haze control cost is hard to value by a crisp number because it is often affected by various factors such as regional uncertain meteorological conditions and topographical features. Furthermore, regions may be involved in different coalitions for haze control with different levels of effort. In this paper, we propose a PM 2.5 cooperative control model with fuzzy cost and crisp coalitions or fuzzy coalitions based on the uncertain cross-border tra…
Time–Frequency Analysis of Particulate Matter (PM10) Concentration in Dry Bulk Ports Using the Hilbert–Huang Transform
To analyze the time-frequency characteristics of the particulate matter (PM 10 ) concentration, data series measured at dry bulk ports were used to determine the contribution of various factors during different periods to the PM 10 concentration level so as to support the formulation of air quality improvement plans around port areas. In this study, the Hilbert-Huang transform (HHT) method was used to analyze the time-frequency characteristics of…
Active layer thickness as a function of soil water content
Active layer thickness (ALT) is a critical metric for monitoring permafrost. How soil moisture influences ALT depends on two competing hypotheses: (a) increased soil moisture increases the latent heat of fusion for thaw, resulting in shallower active layers, and (b) increased soil moisture increases soil thermal conductivity, resulting in deeper active layers. To investigate their relative influence on thaw depth, we analyzed the Field Measuremen…
Bibliometric Insights in Genetic Factors of Substance-Related Disorders: Intellectual Developments, Turning Points, and Emerging Trends
Substance-related disorders are a group of medical conditions that affect a person's brain and behavior and lead to an inability to control the use of legal or illegal drug(s) or medication. Substance-related disorder is a serious public health and society problem worldwide. Genetic factors have been proven to have an important role. Researchers have carried out a lot of work in this field, and a large number of research results have been publish…
Study of the therapeutic effects of Painong powder on ulcerative colitis and the role of Platycodonis Radix in the prescription based on pharmacodynamic, pharmacokinetic, and tissue distribution analy…
The history, stereochemistry, ethnopharmacology and quality assessment of borneol
A Plantaginis Semen-Coptidis Rhizoma compound alleviates type 2 diabetic mellitus in mice via modulating AGEs-Rage pathway
Tensor Correlation Fusion for Multimodal Physiological Signal Emotion Recognition
As an essential challenge within the realm of affective computing, emotion recognition assumes a vital role in bestowing computers with a higher level and comprehensive intelligence. Furthermore, it has emerged as a crucial research topic in both human–computer interaction (HCI) and medical rehabilitation related to mental illnesses. However, the related fusion studies for modeling physiological signals in emotion recognition are less based on mu…
Revisiting permafrost carbon feedback and economic impacts
Quantifying permafrost carbon feedback (PCF) is a critical step in conveying the significance of permafrost carbon emissions to decision-makers and stakeholders and achieving sustainable development goals. Simply assuming a rapid reduction in permafrost area may be an overaggressive approach. This study revisited PCF by incorporating relatively clear permafrost physics into the Dynamic Integrated model of Climate and the Economy. The results show…
New Paradigm for Intelligent Mental Health: A Synergistic Framework Integrating Large Language Models and Virtual Standardized Patients
Can digital technology break the financing dilemma of innovative SMEs? Based on the perspective of enterprise innovation
Interpretable machine learning method empowers dynamic life cycle impact assessment: A case study on the carcinogenic impact of coal power generation
Thriving in Healthcare: Boosting Health Perception, Resilience, and Professional Quality of Life in Medical Social Workers
Medical social workers in mainland China encounter numerous structural challenges that could adversely affect their professional quality of life (ProQOL). This study seeks to investigate the correlation between ProQOL classification, resilience, and perceived health. A total of 319 medical social workers participated by completing questionnaires designed to assess their levels of ProQOL, resilience, and perceived health. The analysis of ProQOL cl…
Decoding Rehabilitation: Neural Markers for Assessing Exercise Intervention Effectiveness in Drug Addicts
To objectively evaluate the intervention effectiveness of exercise rehabilitation on drug addicts, this study proposes a neural-assessment method for measuring rehabilitation efficacy. Taking subjects from isolation rehabilitation centers as the research objects, they were divided into an experimental group (receiving exercise rehabilitation training), a control group (not receiving exercise rehabilitation training), and a newly admitted group (j…
A glycol-modified 1,2-indanedione formulation for high-sensitivity and heat-free latent fingerprint visualisation
Computer Science (6 works) · Chemistry (5 works) · Environmental Science (5 works) · Medicine (5 works) · Arctic and Antarctic ice dynamics (3 works) · Biochemistry (3 works) · Biology (3 works) · Climate change and permafrost (3 works) · Cryospheric studies and observations (3 works) · Economics (3 works)