Low frequency （≤ 1 Hz） repetitive transcranial magnetic stimulation （rTMS） can affect the excitability of the cerebral cortex and synaptic plasticity. Although this is a common method for clinical treatment of ce...Low frequency （≤ 1 Hz） repetitive transcranial magnetic stimulation （rTMS） can affect the excitability of the cerebral cortex and synaptic plasticity. Although this is a common method for clinical treatment of cerebral infarction, whether it promotes the recovery of motor function remains controversial. Twenty patients with cerebral infarction combined with hemiparalysis were equally and randomly divided into a low frequency rTMS group and a control group. The patients in the low frequency rTMS group were given 1-Hz rTMS to the contralateral primary motor cortex with a stimulus intensity of 90% motor threshold, 30 minutes/day. The patients in the control group were given sham stimulation. After 14 days of treatment, clinical function scores （National Institute of Health Stroke Scale, Barthel Index, and Fugl-Meyer Assessment） improved significantly in the low frequency rTMS group, and the effects were better than that in the control group. We conclude that low frequency （1 Hz） rTMS for 14 days can help improve motor function after cerebral infarction.展开更多
Artificial intelligence, often referred to as AI, is a branch of computer science focused on developing systems that exhibit intelligent behavior. Broadly speaking, AI researchers aim to develop technologies that can ...Artificial intelligence, often referred to as AI, is a branch of computer science focused on developing systems that exhibit intelligent behavior. Broadly speaking, AI researchers aim to develop technologies that can think and act in a way that mimics human cognition and decision-making [1]. The foundations of AI can be traced back to early philosophical inquiries into the nature of intelligence and thinking. However, AI is generally considered to have emerged as a formal field of study in the 1940s and 1950s. Pioneering computer scientists at the time theorized that it might be possible to extend basic computer programming concepts using logic and reasoning to develop machines capable of “thinking” like humans. Over time, the definition and goals of AI have evolved. Some theorists argued for a narrower focus on developing computing systems able to efficiently solve problems, while others aimed for a closer replication of human intelligence. Today, AI encompasses a diverse set of techniques used to enable intelligent behavior in machines. Core disciplines that contribute to modern AI research include computer science, mathematics, statistics, linguistics, psychology and cognitive science, and neuroscience. Significant AI approaches used today involve statistical classification models, machine learning, and natural language processing. Classification methods are widely applicable to problems in various domains like healthcare, such as informing diagnostic or treatment decisions based on patterns in data. Dean and Goldreich, 1998, define ML as an approach through which a computer has to learn a model by itself from the data provided but no specification on the sort of model is provided to the computer. They can then predict values for things that are different from the values used in training the models. NLP looks at two interrelated concerns, the task of training computers to understand human languages and the fact that since natural languages are so complex, they lend themselves very well to serving a number 展开更多
The gut microbiota works in unison with the host,promoting its health.In particular,it has been shown to exert protective,metabolic and structural functions.Recent evidence has revealed the influence of the gut microb...The gut microbiota works in unison with the host,promoting its health.In particular,it has been shown to exert protective,metabolic and structural functions.Recent evidence has revealed the influence of the gut microbiota on other organs such as the central nervous system,cardiovascular and the endocrine-metabolic systems and the digestive system.The study of the gut microbiota is outlining new and broader frontiers every day and holds enormous innovation potential for the medical and pharmaceutical fields.Prevention and treatment of specific women’s diseases involves the need to deepen the function of the gut as a junction organ where certain positive bacteria can be very beneficial to health.The gut microbiota is unique and dynamic at the same time,subject to external factors that can change it,and is capable of modulating itself at different stages of a woman’s life,playing an important role that arises from the intertwining of biological mechanisms between the microbiota and the female genital system.The gut microbiota could play a key role in personalized medicine.展开更多
At present,home health care(HHC)has been accepted as an effective method for handling the healthcare problems of the elderly.The HHC scheduling and routing problem(HHCSRP)attracts wide concentration from academia and ...At present,home health care(HHC)has been accepted as an effective method for handling the healthcare problems of the elderly.The HHC scheduling and routing problem(HHCSRP)attracts wide concentration from academia and industrial communities.This work proposes an HHCSRP considering several care centers,where a group of customers(i.e.,patients and the elderly)require being assigned to care centers.Then,various kinds of services are provided by caregivers for customers in different regions.By considering the skill matching,customers’appointment time,and caregivers’workload balancing,this article formulates an optimization model with multiple objectives to achieve minimal service cost and minimal delay cost.To handle it,we then introduce a brain storm optimization method with particular multi-objective search mechanisms(MOBSO)via combining with the features of the investigated HHCSRP.Moreover,we perform experiments to test the effectiveness of the designed method.Via comparing the MOBSO with two excellent optimizers,the results confirm that the developed method has significant superiority in addressing the considered HHCSRP.展开更多
A healthy psychological state is the premise for children to carry out various activities.Previous surveys have shown that children with special needs are affected by their own obstacles and are more prone to psycholo...A healthy psychological state is the premise for children to carry out various activities.Previous surveys have shown that children with special needs are affected by their own obstacles and are more prone to psychological problems such as sensitivity,low self-esteem,and impulsiveness.Therefore,it is necessary to provide more sys-tematic mental health education support for special children.Mental health education programs are an efficient form of maintaining children’s mental health.However,in thefield of special education,the number of mental health education courses developed according to the physical and mental characteristics and developmental needs of special children is relatively small,and there are many difficulties in the implementation process.Autism dis-order(ASD)is a kind of pervasive developmental dysfunction that is relatively common and representative in clinical practice.In recent years,the number of autistic children has continued to surge,and has gradually expanded from a family problem to a serious social problem.At present,the evaluation of the effect of autism intervention mainly relies on various behavioral scales,which are subjective to a certain extent.At the same time,due to the unclear pathogenesis of autism,the treatment of autism cannot be predicated on the right medicine,and can only be intervened in various ways.The purpose of this paper is to explore the difference between the EEG signals of autistic children and typically developing control(TD)children through the analysis method of EEG signals,and based on the analysis of EEG signals from an objective point of view,to study whether the music therapy method of Chinese Zither playing training can effectively Improving the brain functional status of chil-dren with autism yields positive therapeutic outcomes.The experimental results show that the complexity of brain electrical signals of ASD children is much lower than that of TD children,and there is a significant difference in the brain functional state between the two.The music t展开更多
With the occurrence of aging process,decreased neuron dopamine,disrupted brown adipose tissue(BAT)remodeling and decreased butyrate level all reflect a weak host healthy in certain degree.Nevertheless,the signs of mid...With the occurrence of aging process,decreased neuron dopamine,disrupted brown adipose tissue(BAT)remodeling and decreased butyrate level all reflect a weak host healthy in certain degree.Nevertheless,the signs of mid-adult gut microbiota,and its association with host healthy are not well understood.In current study,we deemed to illustrate the associations of age,neuron dopamine,BAT remodeling,butyrate and gut microbiota with the aid of traditional herbal formula Kang Shuai Lao Pian(KSLP),which is known for its anti-aging effect.Here,ELISA was performed to detect the production of brain dopamine,the mass of inguinal white adipose tissue versus interscapular brown adipose tissue(iWAT/iBAT)was calculated and considered as a sign of BAT remodeling,16 S rRNA gene sequencing was used to the detection of gut microbiota profiling and gas chromatography was used to measure the butyrate level in mice feces.Our results indicated mid-adult mice already present distinctive gut microbiota profiling compared with young mice,concomitant with which are the lower brain dopamine level and disrupted brown adipose remodeling.KSLP treatment improved the host healthy and regulated gut microbiota with enriched Firmicutes at the expense of Bacteroidetes,particularly increased the relative abundance of bacteria functionally related to dopamine and butyrate productions,which suggest KSLP treatment constructs a healthier gut environment.In conclusion,modulation of gut microbiota and butyrate may connectively regulate dopamine production and BAT remodeling through gut-brain axis and gut-metabolism axis.展开更多
基金supported by the National Natural Science Foundation of China,No.30540058,30770714the Natural Science Foundation of Beijing of China,No.7052030+2 种基金the Talents Foundation of Organization Department of the Beijing Municipal Committee in Chinathe Beijing Science Plan Project Fund of China,No.Z0005187040191-1the Research Foundation of Capital Medical Development of China,No.2007-2068
文摘Low frequency （≤ 1 Hz） repetitive transcranial magnetic stimulation （rTMS） can affect the excitability of the cerebral cortex and synaptic plasticity. Although this is a common method for clinical treatment of cerebral infarction, whether it promotes the recovery of motor function remains controversial. Twenty patients with cerebral infarction combined with hemiparalysis were equally and randomly divided into a low frequency rTMS group and a control group. The patients in the low frequency rTMS group were given 1-Hz rTMS to the contralateral primary motor cortex with a stimulus intensity of 90% motor threshold, 30 minutes/day. The patients in the control group were given sham stimulation. After 14 days of treatment, clinical function scores （National Institute of Health Stroke Scale, Barthel Index, and Fugl-Meyer Assessment） improved significantly in the low frequency rTMS group, and the effects were better than that in the control group. We conclude that low frequency （1 Hz） rTMS for 14 days can help improve motor function after cerebral infarction.
文摘Artificial intelligence, often referred to as AI, is a branch of computer science focused on developing systems that exhibit intelligent behavior. Broadly speaking, AI researchers aim to develop technologies that can think and act in a way that mimics human cognition and decision-making [1]. The foundations of AI can be traced back to early philosophical inquiries into the nature of intelligence and thinking. However, AI is generally considered to have emerged as a formal field of study in the 1940s and 1950s. Pioneering computer scientists at the time theorized that it might be possible to extend basic computer programming concepts using logic and reasoning to develop machines capable of “thinking” like humans. Over time, the definition and goals of AI have evolved. Some theorists argued for a narrower focus on developing computing systems able to efficiently solve problems, while others aimed for a closer replication of human intelligence. Today, AI encompasses a diverse set of techniques used to enable intelligent behavior in machines. Core disciplines that contribute to modern AI research include computer science, mathematics, statistics, linguistics, psychology and cognitive science, and neuroscience. Significant AI approaches used today involve statistical classification models, machine learning, and natural language processing. Classification methods are widely applicable to problems in various domains like healthcare, such as informing diagnostic or treatment decisions based on patterns in data. Dean and Goldreich, 1998, define ML as an approach through which a computer has to learn a model by itself from the data provided but no specification on the sort of model is provided to the computer. They can then predict values for things that are different from the values used in training the models. NLP looks at two interrelated concerns, the task of training computers to understand human languages and the fact that since natural languages are so complex, they lend themselves very well to serving a number
文摘The gut microbiota works in unison with the host,promoting its health.In particular,it has been shown to exert protective,metabolic and structural functions.Recent evidence has revealed the influence of the gut microbiota on other organs such as the central nervous system,cardiovascular and the endocrine-metabolic systems and the digestive system.The study of the gut microbiota is outlining new and broader frontiers every day and holds enormous innovation potential for the medical and pharmaceutical fields.Prevention and treatment of specific women’s diseases involves the need to deepen the function of the gut as a junction organ where certain positive bacteria can be very beneficial to health.The gut microbiota is unique and dynamic at the same time,subject to external factors that can change it,and is capable of modulating itself at different stages of a woman’s life,playing an important role that arises from the intertwining of biological mechanisms between the microbiota and the female genital system.The gut microbiota could play a key role in personalized medicine.
基金supported in part by the National Natural Science Foundation of China(Nos.62173356 and 61703320)the Science and Technology Development Fund(FDCT),Macao SAR(No.0019/2021/A)+3 种基金Shandong Province Outstanding Youth Innovation Team Project of Colleges and Universities(No.2020RWG011)Natural Science Foundation of Shandong Province(No.ZR202111110025)China Postdoctoral Science Foundation Funded Project(No.2019T120569)the Zhuhai Industry-University-Research Project with Hongkong and Macao(No.ZH22017002210014PWC).
文摘At present,home health care(HHC)has been accepted as an effective method for handling the healthcare problems of the elderly.The HHC scheduling and routing problem(HHCSRP)attracts wide concentration from academia and industrial communities.This work proposes an HHCSRP considering several care centers,where a group of customers(i.e.,patients and the elderly)require being assigned to care centers.Then,various kinds of services are provided by caregivers for customers in different regions.By considering the skill matching,customers’appointment time,and caregivers’workload balancing,this article formulates an optimization model with multiple objectives to achieve minimal service cost and minimal delay cost.To handle it,we then introduce a brain storm optimization method with particular multi-objective search mechanisms(MOBSO)via combining with the features of the investigated HHCSRP.Moreover,we perform experiments to test the effectiveness of the designed method.Via comparing the MOBSO with two excellent optimizers,the results confirm that the developed method has significant superiority in addressing the considered HHCSRP.
文摘A healthy psychological state is the premise for children to carry out various activities.Previous surveys have shown that children with special needs are affected by their own obstacles and are more prone to psychological problems such as sensitivity,low self-esteem,and impulsiveness.Therefore,it is necessary to provide more sys-tematic mental health education support for special children.Mental health education programs are an efficient form of maintaining children’s mental health.However,in thefield of special education,the number of mental health education courses developed according to the physical and mental characteristics and developmental needs of special children is relatively small,and there are many difficulties in the implementation process.Autism dis-order(ASD)is a kind of pervasive developmental dysfunction that is relatively common and representative in clinical practice.In recent years,the number of autistic children has continued to surge,and has gradually expanded from a family problem to a serious social problem.At present,the evaluation of the effect of autism intervention mainly relies on various behavioral scales,which are subjective to a certain extent.At the same time,due to the unclear pathogenesis of autism,the treatment of autism cannot be predicated on the right medicine,and can only be intervened in various ways.The purpose of this paper is to explore the difference between the EEG signals of autistic children and typically developing control(TD)children through the analysis method of EEG signals,and based on the analysis of EEG signals from an objective point of view,to study whether the music therapy method of Chinese Zither playing training can effectively Improving the brain functional status of chil-dren with autism yields positive therapeutic outcomes.The experimental results show that the complexity of brain electrical signals of ASD children is much lower than that of TD children,and there is a significant difference in the brain functional state between the two.The music t
基金supported by the Science and Technology Department of Zhejiang Province,China(Nos.2018C02048 and 2018F10076)the Agricultural and Social Development Department of Hangzhou City,China(2018)。
文摘With the occurrence of aging process,decreased neuron dopamine,disrupted brown adipose tissue(BAT)remodeling and decreased butyrate level all reflect a weak host healthy in certain degree.Nevertheless,the signs of mid-adult gut microbiota,and its association with host healthy are not well understood.In current study,we deemed to illustrate the associations of age,neuron dopamine,BAT remodeling,butyrate and gut microbiota with the aid of traditional herbal formula Kang Shuai Lao Pian(KSLP),which is known for its anti-aging effect.Here,ELISA was performed to detect the production of brain dopamine,the mass of inguinal white adipose tissue versus interscapular brown adipose tissue(iWAT/iBAT)was calculated and considered as a sign of BAT remodeling,16 S rRNA gene sequencing was used to the detection of gut microbiota profiling and gas chromatography was used to measure the butyrate level in mice feces.Our results indicated mid-adult mice already present distinctive gut microbiota profiling compared with young mice,concomitant with which are the lower brain dopamine level and disrupted brown adipose remodeling.KSLP treatment improved the host healthy and regulated gut microbiota with enriched Firmicutes at the expense of Bacteroidetes,particularly increased the relative abundance of bacteria functionally related to dopamine and butyrate productions,which suggest KSLP treatment constructs a healthier gut environment.In conclusion,modulation of gut microbiota and butyrate may connectively regulate dopamine production and BAT remodeling through gut-brain axis and gut-metabolism axis.
