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Design of a fractional PI None

Pritesh SHAH, Sudhir AGASHE, Anand J. KULKARNI

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 3,   Pages 437-445 doi: 10.1631/FITEE.1601495

Abstract: The cohort intelligence (CI) method has recently evolved as an optimization method based on artificialintelligence.

Keywords： Cohort intelligence     Fractional calculus     Fractional PID controller     Tuning    

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J-shaped association between dietary zinc intake and new-onset hypertension: a nationwide cohort study

Frontiers of Medicine 2023, Volume 17, Issue 1,   Pages 156-164 doi: 10.1007/s11684-022-0932-3

Abstract: We aimed to investigate the relationship of dietary zinc intake with new-onset hypertension among Chinese adults. A total of 12,177 participants who were free of hypertension at baseline from the China Health and Nutrition Survey were included. Dietary intake was assessed by three consecutive 24-h dietary recalls combined with a household food inventory. Participants with systolic blood pressure ≥ 140 mmHg or diastolic blood pressure ≥ 90 mmHg or diagnosed by a physician or under antihypertensive treatment during the follow-up were defined as having new-onset hypertension. During a median follow-up duration of 6.1 years, 4269 participants developed new-onset hypertension. Overall, the association between dietary zinc intake and new-onset hypertension followed a J-shape (P for non-linearity < 0.001). The risk of new-onset hypertension significantly decreased with the increment of dietary zinc intake (per mg/day: hazard ratio (HR) 0.93; 95% confidence interval (CI) 0.88–0.98) in participants with zinc intake < 10.9 mg/day, and increased with the increment of zinc intake (per mg/day: HR 1.14; 95% CI 1.11–1.16) in participants with zinc intake ≥ 10.9 mg/day. In conclusion, there was a J-shaped association between dietary zinc intake and new-onset hypertension in general Chinese adults, with an inflection point at about 10.9 mg/day.

Keywords： dietary zinc intake     new-onset hypertension     general population     CHNS    

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of inactivated vaccine against SARS-CoV-2 infections in patients with comorbidities: a prospective cohort

Frontiers of Medicine   Pages 867-877 doi: 10.1007/s11684-023-0995-9

Abstract: Protection against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection of inactivated vaccines is not well characterized in people with comorbidities, who are at high risk of severe infection. We compared the risk of SARS-CoV-2 infection after complete vaccination with Sinopharm/BBIBP in people with comorbidities (e.g., autoimmune diseases, cardiovascular disease, chronic lung disease, and diabetes) with healthy individuals using a Cox-proportional hazard model. In July–September 2021, a total of 10 548 people (comorbidities, 2143; healthy, 8405) receiving the complete primary series of vaccination with Sinopharm/BBIBP in Bangkok, Thailand were prospectively followed for SARS-CoV-2 infection through text messaging and telephone interviewing for 6 months. A total of 295 infections from 284 participants were found. HRs (95% CI) of individuals with any comorbidities did not increase (unadjusted, 1.02 (0.77–1.36), P = 0.89; adjusted, 1.04 (0.78–1.38), P = 0.81). HRs significantly increased in the subgroup of autoimmune diseases (unadjusted, 2.64 (1.09–6.38), P = 0.032; adjusted, 4.45 (1.83–10.83), P = 0.001) but not in cardiovascular disease, chronic lung disease, or diabetes. The protection against SARS-CoV-2 infection of the Sinopharm vaccine was similar in participants with any comorbidities vs. healthy individuals. However, the protection appeared lower in the subgroup of autoimmune diseases, which may reflect suboptimal immune responses among these people.

Keywords： COVID-19     Sinopharm/BBIBP vaccine     immunocompromised patients     real-world    

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fatty liver disease with elevated brachial-ankle pulse wave velocity and albuminuria: a prospective cohort

Frontiers of Medicine 2022, Volume 16, Issue 5,   Pages 714-722 doi: 10.1007/s11684-021-0888-8

Abstract: A new definition of metabolic dysfunction-associated fatty liver disease (MAFLD) has recently been proposed. We aim to examine the associations of MAFLD, particularly its discordance from non-alcoholic fatty liver disease (NAFLD), with the progression of elevated brachial-ankle pulse wave velocity (baPWV) and albuminuria in a community-based study sample in Shanghai, China. After 4.3 years of follow-up, 778 participants developed elevated baPWV and 499 developed albuminuria. In comparison with the non-MAFLD group, the multivariable adjusted odds ratio (OR) of MAFLD group for new-onset elevated baPWV was 1.25 (95% confidence interval (CI) 1.01–1.55) and 1.35 (95% CI 1.07–1.70) for albuminuria. Participants without NAFLD but diagnosed according to MAFLD definition were associated with higher risk of incident albuminuria (OR 1.77; 95% CI 1.07–2.94). Patients with MAFLD with high value of hepamet fibrosis score or poor-controlled diabetes had higher risk of elevated baPWV or albuminuria. In conclusion, MAFLD was associated with new-onset elevated baPWV and albuminuria independently of body mass index, waist circumference, and hip circumference. Individuals without NAFLD but diagnosed as MAFLD had high risk of albuminuria, supporting that MAFLD criteria would be practical for the evaluation of long-term risk of subclinical atherosclerosis among fatty liver patients.

Keywords： metabolic dysfunction-associated fatty liver disease     non-alcoholic fatty liver disease     fibrosis score     brachial-ankle pulse wave velocity     albuminuria    

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medicine reduces mortality in patients with severe and critical coronavirus disease 2019: a retrospective cohort

Guohua Chen, Wen Su, Jiayao Yang, Dan Luo, Ping Xia, Wen Jia, Xiuyang Li, Chuan Wang, Suping Lang, Qingbin Meng, Ying Zhang, Yuhe Ke, An Fan, Shuo Yang, Yujiao Zheng, Xuepeng Fan, Jie Qiao, Fengmei Lian, Li Wei, Xiaolin Tong

Frontiers of Medicine 2020, Volume 14, Issue 6,   Pages 752-759 doi: 10.1007/s11684-020-0813-6

Abstract: This study aimed to evaluate the efficacy of Chinese herbal medicine (CHM) in patients with severe/critical coronavirus disease 2019 (COVID-19). In this retrospective study, data were collected from 662 patients with severe/critical COVID-19 who were admitted to a designated hospital to treat patients with severe COVID-19 in Wuhan before March 20, 2020. All patients were divided into an exposed group (CHM users) and a control group (non-users). After propensity score matching in a 1:1 ratio, 156 CHM users were matched by propensity score to 156 non-users. No significant differences in seven baseline clinical variables were found between the two groups of patients. All-cause mortality was reported in 13 CHM users who died and 36 non-users who died. After multivariate adjustment, the mortality risk of CHM users was reduced by 82.2% (odds ratio 0.178, 95% CI 0.076–0.418; <0.001) compared with the non-users. Secondly, age (odds ratio 1.053, 95% CI 1.023–1.084; <0.001) and the proportion of severe/critical patients (odds ratio 0.063, 95% CI 0.028–0.143; <0.001) were the risk factors of mortality. These results show that the use of CHM may reduce the mortality of patients with severe/critical COVID-19.

Keywords： COVID-19     CHM     mortality     a retrospective cohort study    

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Association of maternal depression with dietary intake, growth, and development of preterm infants: a cohort

Han Wang, Hong Zhou, Yan Zhang, Yan Wang, Jing Sun

Frontiers of Medicine 2018, Volume 12, Issue 5,   Pages 533-541 doi: 10.1007/s11684-017-0591-y

Abstract: A cohort study of 201 infants was conducted in Beijing.

Keywords： maternal depression     preterm     infant     nutrition     growth     development    

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characteristics and risk factors of COVID-19 patients with chronic hepatitis B: a multi-center retrospective cohort

Frontiers of Medicine 2022, Volume 16, Issue 1,   Pages 111-125 doi: 10.1007/s11684-021-0854-5

Abstract: In this multi-center, retrospective, and observational cohort study, 109 CHB and 327 non-CHB patients

Keywords： COVID-19     chronic hepatitis B     liver injury     coagulation dysfunction    

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Long-term exposure to air pollution and cerebrovascular disease: findings from Beijing Health Management Cohort

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 7, doi: 10.1007/s11783-023-1684-2

Abstract:

● This study explored the long-term association by double robust additive models.

Keywords： Air pollution     Cerebrovascular disease     Incidence     Long-term exposure     Doubly robust additive model    

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mortality of V-V ECMO-supported patients—the ECMO quality improvement action (EQIA) study: a national cohort

Frontiers of Medicine doi: 10.1007/s11684-023-1014-x

Abstract: This cohort study was performed to explore the influence of intensive care unit (ICU) quality on in-hospital

Keywords： veno-venous extracorporeal membrane oxygenation     in-hospital mortality     high-volume centers     quality control     intensive care unit capacity parameters    

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Cohort-based personalized query auto-completion Regular Papers-Research Articles

Dan-yang JIANG, Hong-hui CHEN

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 9,   Pages 1246-1258 doi: 10.1631/FITEE.1800010

Abstract: As conventional topic models are unable to automatically learn cohorts, we propose two cohort topic modelsthat handle topic modeling and cohort discovery in the same framework.We present four cohortbased personalized QAC models that employ four different cohort discovery strategiespublicly available AOL query log and compare the ranking effectiveness with that of models that discard cohortExperimental results suggest that our cohort-based personalized QAC models can solve the sparseness problem

Keywords： Query auto-completion     Cohort-based retrieval     Topic models    

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INTERACTIVE KNOWLEDGE LEARNING BY ARTIFICIAL INTELLIGENCE FOR SMALLHOLDERS

Frontiers of Agricultural Science and Engineering 2023, Volume 10, Issue 4,   Pages 648-653 doi: 10.15302/J-FASE-2023505

Abstract: Therefore, this article proposes an interactive knowledge learning approach using artificial intelligence

Keywords： artificial intelligence     extension system     non-point source pollution control     smallholders     fertilization    

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Artificial intelligence in gastroenterology: where are we heading?

Joseph JY Sung, Nicholas CH Poon

Frontiers of Medicine 2020, Volume 14, Issue 4,   Pages 511-517 doi: 10.1007/s11684-020-0742-4

Abstract: Artificial intelligence (AI) is coming to medicine in a big wave.

Keywords： artificial intelligence     endoscopy     robotics     gastrointestinal diseases    

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The Tong Test: Evaluating Artificial General Intelligence Through Dynamic Embodied Physical and Social

Yujia Peng,Jiaheng Han,Zhenliang Zhang,Lifeng Fan,Tengyu Liu,Siyuan Qi,Xue Feng,Yuxi Ma,Yizhou Wang,Song-Chun Zhu,

Engineering doi: 10.1016/j.eng.2023.07.006

Abstract: The release of the generative pre-trained transformer (GPT) series has brought artificial general intelligence(AGI) to the forefront of the artificial intelligence (AI) field once again.

Keywords： Artificial general intelligence     Artificial intelligence benchmark     Artificial intelligence evaluation     Embodied artificial intelligence     Value alignment     Turing test     Causality    

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Intelligence Originating from Human Beings and Expanding in Industry— A View on the Development of ArtificialIntelligence

Jiang Changjun, Wang Junli

Strategic Study of CAE 2018, Volume 20, Issue 6,   Pages 93-100 doi: 10.15302/J-SSCAE-2018.06.015

Abstract:

Artificial Intelligence (AI) aims to simulate information storage andmechanisms and other intelligent behaviors of a human brain, so that the machine has a certain level of intelligencepaper, the historical integration and evolution of computer science, control science, brain-inspired intelligence, human brain intelligence, and other disciplines or fields closely related to AI are analyzed in depthInternet, the integration of AI calculus and computation, the model and mechanism of brain-inspired intelligence

Keywords： artificial intelligence     human brain intelligence     brain-inspired intelligence     intelligence development    

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Heading toward Artificial Intelligence 2.0

Yunhe Pan

Engineering 2016, Volume 2, Issue 4,   Pages 409-413 doi: 10.1016/J.ENG.2016.04.018

Abstract: space, and cyberspace, the information environment related to the current development of artificial intelligence

Keywords： Artificial intelligence 2.0     Big data     Crowd intelligence     Cross-media     Human-machine     hybrid-augmented     intelligence    

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Title Author Date Type Operation

Design of a fractional PI

Pritesh SHAH, Sudhir AGASHE, Anand J. KULKARNI

Journal Article

J-shaped association between dietary zinc intake and new-onset hypertension: a nationwide cohort study

Journal Article

of inactivated vaccine against SARS-CoV-2 infections in patients with comorbidities: a prospective cohort

Journal Article

fatty liver disease with elevated brachial-ankle pulse wave velocity and albuminuria: a prospective cohort

Journal Article

medicine reduces mortality in patients with severe and critical coronavirus disease 2019: a retrospective cohort

Guohua Chen, Wen Su, Jiayao Yang, Dan Luo, Ping Xia, Wen Jia, Xiuyang Li, Chuan Wang, Suping Lang, Qingbin Meng, Ying Zhang, Yuhe Ke, An Fan, Shuo Yang, Yujiao Zheng, Xuepeng Fan, Jie Qiao, Fengmei Lian, Li Wei, Xiaolin Tong

Journal Article

Association of maternal depression with dietary intake, growth, and development of preterm infants: a cohort

Han Wang, Hong Zhou, Yan Zhang, Yan Wang, Jing Sun

Journal Article

characteristics and risk factors of COVID-19 patients with chronic hepatitis B: a multi-center retrospective cohort

Journal Article

Long-term exposure to air pollution and cerebrovascular disease: findings from Beijing Health Management Cohort

Journal Article

mortality of V-V ECMO-supported patients—the ECMO quality improvement action (EQIA) study: a national cohort

Journal Article

Cohort-based personalized query auto-completion

Dan-yang JIANG, Hong-hui CHEN

Journal Article

INTERACTIVE KNOWLEDGE LEARNING BY ARTIFICIAL INTELLIGENCE FOR SMALLHOLDERS

Journal Article

Artificial intelligence in gastroenterology: where are we heading?

Joseph JY Sung, Nicholas CH Poon

Journal Article

The Tong Test: Evaluating Artificial General Intelligence Through Dynamic Embodied Physical and Social

Yujia Peng,Jiaheng Han,Zhenliang Zhang,Lifeng Fan,Tengyu Liu,Siyuan Qi,Xue Feng,Yuxi Ma,Yizhou Wang,Song-Chun Zhu,

Journal Article

Intelligence Originating from Human Beings and Expanding in Industry— A View on the Development of ArtificialIntelligence

Jiang Changjun, Wang Junli

Journal Article

Heading toward Artificial Intelligence 2.0

Yunhe Pan

Journal Article